Objective:This study aimed to translate the Academic Nurse Self-Efficacy scale(ANSE),assess its appropriateness for use in Korean nursing students,and evaluate the Korean Version of the Academic Nurse Self-Efficacy sc...Objective:This study aimed to translate the Academic Nurse Self-Efficacy scale(ANSE),assess its appropriateness for use in Korean nursing students,and evaluate the Korean Version of the Academic Nurse Self-Efficacy scale’s(K-ANSE)validity and reliability.Methods:The data of 444 nursing college students at 10 universities across the country were collected from November 1,2020 to June 8,2021.The K-ANSE was analyzed utilizing SPSS 25.0 and AMOS 25.0 programs.The K-ANSE’s content validity,construct validity,convergent/discriminant validity,criterion-related validity,and reliability were evaluated.Results:Internal emotion management,auto-regulatory behavior,external emotion management,and sociality were established.The Cronbach’sαfor the overall scale was 0.87,and that of the 4 subscales ranged from 0.70 to 0.89.Conclusions:The Korean version of the ANSE seems to be a valid and reliable instrument to measure Korean bachelor-level nursing students.展开更多
Through SWOT(strengths,weaknesses,opportunities,and threats)and PEST(political,economic,social,and technological)analysis,this study discusses the construction of a multi-level strategic system for the cultivation of ...Through SWOT(strengths,weaknesses,opportunities,and threats)and PEST(political,economic,social,and technological)analysis,this study discusses the construction of a multi-level strategic system for the cultivation of cultural industry management talents in colleges and universities.First of all,based on SWOT analysis,it is found that colleges and universities have rich educational resources and policy support,but they face challenges such as insufficient practical teaching and intensified international competition.External opportunities come from the rapid development of the cultivation of cultural industry management talents and policy promotion,while threats come from global market competition and talent flow.Secondly,PEST analysis reveals the key factors in the macro-environment:at the political level,the state vigorously supports the cultivation of cultural industry management talents;at the economic level,the market demand for cultural industries is strong;at the social level,the public cultural consumption is upgraded;at the technological level,digital transformation promotes industry innovation.On this basis,this paper puts forward a multi-level strategic system covering theoretical education,practical skill improvement,interdisciplinary integration,and international vision training.The system aims to solve the problems existing in talent training in colleges and universities and cultivate high-quality cultural industry management talents with theoretical knowledge,practical skills,and global vision,so as to adapt to the increasingly complex and diversified cultural industry management talents market demand and promote the long-term development of the industry.展开更多
In a vehicular ad hoc network(VANET),a massive quantity of data needs to be transmitted on a large scale in shorter time durations.At the same time,vehicles exhibit high velocity,leading to more vehicle disconnections...In a vehicular ad hoc network(VANET),a massive quantity of data needs to be transmitted on a large scale in shorter time durations.At the same time,vehicles exhibit high velocity,leading to more vehicle disconnections.Both of these characteristics result in unreliable data communication in VANET.A vehicle clustering algorithm clusters the vehicles in groups employed in VANET to enhance network scalability and connection reliability.Clustering is considered one of the possible solutions for attaining effectual interaction in VANETs.But one such difficulty was reducing the cluster number under increasing transmitting nodes.This article introduces an Evolutionary Hide Objects Game Optimization based Distance Aware Clustering(EHOGO-DAC)Scheme for VANET.The major intention of the EHOGO-DAC technique is to portion the VANET into distinct sets of clusters by grouping vehicles.In addition,the DHOGO-EAC technique is mainly based on the HOGO algorithm,which is stimulated by old games,and the searching agent tries to identify hidden objects in a given space.The DHOGO-EAC technique derives a fitness function for the clustering process,including the total number of clusters and Euclidean distance.The experimental assessment of the DHOGO-EAC technique was carried out under distinct aspects.The comparison outcome stated the enhanced outcomes of the DHOGO-EAC technique compared to recent approaches.展开更多
In recent times,real time wireless networks have found their applicability in several practical applications such as smart city,healthcare,surveillance,environmental monitoring,etc.At the same time,proper localization...In recent times,real time wireless networks have found their applicability in several practical applications such as smart city,healthcare,surveillance,environmental monitoring,etc.At the same time,proper localization of nodes in real time wireless networks helps to improve the overall functioning of networks.This study presents an Improved Metaheuristics based Energy Efficient Clustering with Node Localization(IM-EECNL)approach for real-time wireless networks.The proposed IM-EECNL technique involves two major processes namely node localization and clustering.Firstly,Chaotic Water Strider Algorithm based Node Localization(CWSANL)technique to determine the unknown position of the nodes.Secondly,an Oppositional Archimedes Optimization Algorithm based Clustering(OAOAC)technique is applied to accomplish energy efficiency in the network.Besides,the OAOAC technique derives afitness function comprising residual energy,distance to cluster heads(CHs),distance to base station(BS),and load.The performance validation of the IM-EECNL technique is carried out under several aspects such as localization and energy efficiency.A wide ranging comparative outcomes analysis highlighted the improved performance of the IM-EECNL approach on the recent approaches with the maximum packet delivery ratio(PDR)of 0.985.展开更多
The exponential growth of data necessitates an effective data storage scheme,which helps to effectively manage the large quantity of data.To accomplish this,Deoxyribonucleic Acid(DNA)digital data storage process can b...The exponential growth of data necessitates an effective data storage scheme,which helps to effectively manage the large quantity of data.To accomplish this,Deoxyribonucleic Acid(DNA)digital data storage process can be employed,which encodes and decodes binary data to and from synthesized strands of DNA.Vector quantization(VQ)is a commonly employed scheme for image compression and the optimal codebook generation is an effective process to reach maximum compression efficiency.This article introduces a newDNAComputingwithWater StriderAlgorithm based Vector Quantization(DNAC-WSAVQ)technique for Data Storage Systems.The proposed DNAC-WSAVQ technique enables encoding data using DNA computing and then compresses it for effective data storage.Besides,the DNAC-WSAVQ model initially performsDNA encoding on the input images to generate a binary encoded form.In addition,aWater Strider algorithm with Linde-Buzo-Gray(WSA-LBG)model is applied for the compression process and thereby storage area can be considerably minimized.In order to generate optimal codebook for LBG,the WSA is applied to it.The performance validation of the DNAC-WSAVQ model is carried out and the results are inspected under several measures.The comparative study highlighted the improved outcomes of the DNAC-WSAVQ model over the existing methods.展开更多
Recently,the fifth generation(5G)of mobile networks has been deployed and various ranges of mobile services have been provided.The 5G mobile network supports improved mobile broadband,ultra-low latency and densely dep...Recently,the fifth generation(5G)of mobile networks has been deployed and various ranges of mobile services have been provided.The 5G mobile network supports improved mobile broadband,ultra-low latency and densely deployed massive devices.It allows multiple radio access technologies and interworks them for services.5G mobile systems employ traffic steering techniques to efficiently use multiple radio access technologies.However,conventional traffic steering techniques do not consider dynamic network conditions efficiently.In this paper,we propose a network aided traffic steering technique in 5G mobile network architecture.5G mobile systems monitor network conditions and learn with network data.Through a machine learning algorithm such as a feed-forward neural network,it recognizes dynamic network conditions and then performs traffic steering.The proposed scheme controls traffic for multiple radio access according to the ratio of measured throughput.Thus,it can be expected to improve traffic steering efficiency.The performance of the proposed traffic steering scheme is evaluated using extensive computer simulations.展开更多
AIM: To examine the association between circulating 25-hydroxyvitamin D [25(OH)D] levels and colorectal adenoma in a case-control study and a meta-analysis. METHODS: We conducted a matched case-control study(112 cases...AIM: To examine the association between circulating 25-hydroxyvitamin D [25(OH)D] levels and colorectal adenoma in a case-control study and a meta-analysis. METHODS: We conducted a matched case-control study(112 cases and 112 matched controls) and combined 15 studies, including our study, in a metaanalysis. The study-specific odds ratios(ORs) and 95% confidence intervals(CIs) were pooled using a randomeffects model. In total, 5454 colorectal adenomas and 6656 controls were included in the meta-analysis. RESULTS: In a meta-analysis including 14 previous studies and our study, we observed a significant inverse association between circulating 25(OH)D levels and colorectal adenoma(OR = 0.68; 95%CI: 0.54-0.82) when comparing the highest category with the lowest category. Stratification by adenoma location(proximal or distal adenoma) showed similar estimates. When we stratified by study region, the ORs(95%CIs) were 0.70(0.52-0.88) in the US and 0.66(0.34-0.97) in Asia. CONCLUSION: These data suggest an inverse association between circulating 25(OH) Dlevels and colorectal adenoma in both Western and Asian populations.展开更多
AIM:To investigate anxiety and depression propensities in patients with toxic liver injury.METHODS:The subjects were divided into three groups:a healthy control group(Group 1,n=125),an acute non-toxic liver injury gro...AIM:To investigate anxiety and depression propensities in patients with toxic liver injury.METHODS:The subjects were divided into three groups:a healthy control group(Group 1,n=125),an acute non-toxic liver injury group(Group 2,n=124),and a group with acute toxic liver injury group caused by noncommercial herbal preparations(Group 3,n=126).These three groups were compared and evaluated through questionnaire surveys and using the Hospital Anxiety-Depression Scale(HADS),Beck Anxiety Inventory(BAI),Beck Depression Inventory(BDI),and the hypochondriasis scale.RESULTS:The HADS anxiety subscale was 4.9±2.7,5.0±3.0 and 5.6±3.4,in Groups 1,2,and 3,respectively.The HADS depression subscale in Group 3 showed the most significant score(5.2±3.2,6.4±3.4 and 7.2±3.4in Groups 1,2,and 3,respectively)(P<0.01 vs Group 1,P<0.05 vs Group 2).The BAI and BDI in Group 3showed the most significant score(7.0±6.3 and 6.9±6.9,9.5±8.6 and 8.8±7.3,10.7±7.2 and 11.6±8.5in Groups 1,2,and 3,respectively)(BAI:P<0.01 vs Group 1,P<0.05 vs Group 2)(BDI:P<0.01 vs Group1 and 2).Group 3 showed a significantly higher hypochondriasis score(8.2±6.0,11.6±7.5 and 13.1±6.5in Groups 1,2,and 3,respectively)(P<0.01 vs Group 1,P<0.05 vs Group 2).CONCLUSION:Psychological factors that present vulnerability to the temptation to use alternative medicines,such as herbs and plant preparations,are important for understanding toxic liver injury.展开更多
The Internet of Things(IoT)has enabled various intelligent services,and IoT service range has been steadily extended through long range wide area communication technologies,which enable very long distance wireless dat...The Internet of Things(IoT)has enabled various intelligent services,and IoT service range has been steadily extended through long range wide area communication technologies,which enable very long distance wireless data transmission.End-nodes are connected to a gateway with a single hop.They consume very low-power,using very low data rate to deliver data.Since long transmission time is consequently needed for each data packet transmission in long range wide area networks,data transmission should be efficiently performed.Therefore,this paper proposes a multicast uplink data transmission mechanism particularly for bad network conditions.Transmission delay will be increased if only retransmissions are used under bad network conditions.However,employing multicast techniques in bad network conditions can significantly increase packet delivery rate.Thus,retransmission can be reduced and hence transmission efficiency increased.Therefore,the proposed method adopts multicast uplink after network condition prediction.To predict network conditions,the proposed method uses a deep neural network algorithm.The proposed method performance was verified by comparison with uplink unicast transmission only,confirming significantly improved performance.展开更多
Intra-hisian atrioventricular(AV) block is not a common phenomenon, but it is important for the development of advanced or complete AV block. We observed a 77-yearold female patient with the 2:1 AV block due to an int...Intra-hisian atrioventricular(AV) block is not a common phenomenon, but it is important for the development of advanced or complete AV block. We observed a 77-yearold female patient with the 2:1 AV block due to an intrahisian block. In this case we tried to detect the block site, but an alternating pattern of the AH conduction was noted on the His-electrogram in the electrophysiological study(EPS). The cause of the confusing finding might have been the instability of the catheter to record a His potential. We could detect a splitting of the Hiselectrogram with an intra-hisian block after minimal manipulation of the catheter. The authors' observations suggest that catheter stability is important for a precise recording in the EPS and radiofrequency catheter ablation procedure.展开更多
Software-defined networking is one of the progressive and prominent innovations in Information and Communications Technology.It mitigates the issues that our conventional network was experiencing.However,traffic data ...Software-defined networking is one of the progressive and prominent innovations in Information and Communications Technology.It mitigates the issues that our conventional network was experiencing.However,traffic data generated by various applications is increasing day by day.In addition,as an organization’s digital transformation is accelerated,the amount of information to be processed inside the organization has increased explosively.It might be possible that a Software-Defined Network becomes a bottleneck and unavailable.Various models have been proposed in the literature to balance the load.However,most of the works consider only limited parameters and do not consider controller and transmission media loads.These loads also contribute to decreasing the performance of Software-Defined Networks.This work illustrates how a software-defined network can tackle the load at its software layer and give excellent results to distribute the load.We proposed a deep learning-dependent convolutional neural networkbased load balancing technique to handle a software-defined network load.The simulation results show that the proposed model requires fewer resources as compared to existing machine learning-based load balancing techniques.展开更多
The early diagnosis of pre-existing coronary disorders helps to control complications such as pulmonary hypertension,irregular cardiac functioning,and heart failure.Machine-based learning of heart sound is an efficien...The early diagnosis of pre-existing coronary disorders helps to control complications such as pulmonary hypertension,irregular cardiac functioning,and heart failure.Machine-based learning of heart sound is an efficient technology which can help minimize the workload of manual auscultation by automatically identifying irregular cardiac sounds.Phonocardiogram(PCG)and electrocardiogram(ECG)waveforms provide the much-needed information for the diagnosis of these diseases.In this work,the researchers have converted the heart sound signal into its corresponding repeating pattern-based spectrogram.PhysioNet 2016 and PASCAL 2011 have been taken as the benchmark datasets to perform experimentation.The existing models,viz.MobileNet,Xception,Visual Geometry Group(VGG16),ResNet,DenseNet,and InceptionV3 of Transfer Learning have been used for classifying the heart sound signals as normal and abnormal.For PhysioNet 2016,DenseNet has outperformed its peer models with an accuracy of 89.04 percent,whereas for PASCAL 2011,VGG has outperformed its peer approaches with an accuracy of 92.96 percent.展开更多
AIM To evaluate the efficacy and safety of modified FOLFIRINOX as a second-line treatment for gemcitabine(GEM)-refractory unresectable pancreatic cancer(PC).METHODS This study was a prospective, multicenter, one-arm, ...AIM To evaluate the efficacy and safety of modified FOLFIRINOX as a second-line treatment for gemcitabine(GEM)-refractory unresectable pancreatic cancer(PC).METHODS This study was a prospective, multicenter, one-arm, open-label, phase Ⅱ trial. Patients with unresectable PC, who showed disease progression during GEMbased chemotherapy were enrolled. All patients were administered FOLFIRINOX with reduced irinotecan and oxaliplatin(RIO; irinotecan 120 mg/m^2 and oxaliplatin 60 mg/m^2), which was set according to the phase Ⅰ study of FOLFIRINOX. The objective response rate(ORR), disease control rate(DCR), progressionfree survival(PFS), overall survival(OS), adverse events were evaluated. Additionally, changes in quality of life(QoL) were assessed using a questionnaire on QoL.RESULTS Between August 2015 and May 2016, a total of 48 patients were enrolled. The median follow-up time was 259 d with a median of 8.5 cycles. The ORR and DCR were 18.8% and 62.5%, respectively, including one patient who showed complete remission. The median PFS was 5.8 mo [95% confidence interval(CI): 3.7-7.9] and median OS was 9.0 mo(95%CI: 6.4-11.6). Neutropenia(64.6%) was the most common grade 3-4 adverse event, followed by febrile neutropenia(16.7%). Although 14.6% of patients experienced grade 3 fatigue, most non-hematologic AEs were under grade 2. In the QoL analysis, the global health status score before treatment was not different from the score at the last visit after treatment(45.43 ± 22.88 vs 48.66 ± 24.14, P = 0.548).CONCLUSION FOLFIRINOX with RIO showed acceptable toxicity and promising efficacy for GEM-refractory unresectable PC. However, this treatment requires careful observation of treatment-related hematologic toxicities.展开更多
Background The benefit of statin use after acute ST-segment elevation myocardial infarction （STEMI） has been well established, however, the influence of the timing of statin administration has not been elucidated. T...Background The benefit of statin use after acute ST-segment elevation myocardial infarction （STEMI） has been well established, however, the influence of the timing of statin administration has not been elucidated. The objective of this study focused on early clinical outcomes after percutaneous coronary intervention （PCI）. Methods This analysis of the Korea Working Group on Myocardial Infarction registry （KorMI） study included 3,584 STEMI patients （mean age, 63 ±13 years;male, 2,684, 74.9%） undergoing PCI from January 2008 to June 2009. Rates of major adverse cardiac events （MACE：all-cause death, recurrent MI, and target lesion revascularization） were compared among patients grouped according to statin therapy timing：I, both during and after hospitalization （n=2,653, 74%）;II, only during hospita-lization （n=309, 8.6%）;III, only after discharge （n=157, 4.4%）;and IV, no statin therapy （n=465, 13%）. Mean follow-up duration was 234 ± 113 days. Results Multivariate factors of statin use during hospitalization included prior statin use, multiple diseased vessels, final thrombolysis in myocardial infarction flow grade III, and low-density lipoprotein cholesterol level. At 6-month follow-up, groups Ⅲ and Ⅳ had the highest MACE rates （2.3%, 3.9%, 5.1%, and 4.9%for groups I-IV, respectively, P=0.004）. After adjusting for confounders, groups Ⅱ-Ⅳ had a higher MACE risk than group Ⅰ [hazard ratio （HR）：3.20, 95%confidence interval （95%CI）：1.31-7.86, P=0.011;HR：3.84, 95%CI：1.47-10.02, P=0.006;and HR：3.17, 95%CI：1.59-6.40, P=0.001;respectively]. Conclusions This study, based on the national registry database, shows early and continuous statin therapy improvs early outcomes of STEMI patients after PCI in real-world clinical prac-tice.展开更多
The generating functions of special numbers and polynomials have various applications in many fields as well as mathematics and physics.In recent years,some mathematicians have studied degenerate version of them and o...The generating functions of special numbers and polynomials have various applications in many fields as well as mathematics and physics.In recent years,some mathematicians have studied degenerate version of them and obtained many interesting results.With this in mind,in this paper,we introduce the degenerate r-Dowling polynomials and numbers associated with the degenerate r-Whitney numbers of the second kind.We derive many interesting properties and identities for them including generating functions,Dobinski-like formula,integral representations,recurrence relations,differential equation and various explicit expressions.In addition,we explore some expressions for them that can be derived from repeated applications of certain operators to the exponential functions,the derivatives of them and some identities involving them.展开更多
Degenerate versions of special polynomials and numbers applied to social problems,physics,and applied mathematics have been studied variously in recent years.Moreover,the(s-)Lah numbers have many other interesting app...Degenerate versions of special polynomials and numbers applied to social problems,physics,and applied mathematics have been studied variously in recent years.Moreover,the(s-)Lah numbers have many other interesting applications in analysis and combinatorics.In this paper,we divide two parts.We first introduce new types of both degenerate incomplete and complete s-Bell polynomials respectively and investigate some properties of them respectively.Second,we introduce the degenerate versions of complete and incomplete Lah-Bell polynomials as multivariate forms for a new type of degenerate s-extended Lah-Bell polynomials and numbers respectively.We investigate relations between these polynomials and degenerate incomplete and complete s-Bell polynomials,and derive explicit formulas for these polynomials.展开更多
With the growth of the scale of the market for Internet banking and e-commerce,the number of Internet-based financial markets has been increasing.Meanwhile,hacking incidents continuously affect Internet-banking servic...With the growth of the scale of the market for Internet banking and e-commerce,the number of Internet-based financial markets has been increasing.Meanwhile,hacking incidents continuously affect Internet-banking services.For this reason,a countermeasure is required to improve the security of the online identification process.The current security and authentication mechanisms applied to financial services,such as Internet banking services for 5G-enabled IoT,do not ensure security.In this paper,a transaction-linkage technique with which the designated terminal is combined is proposed to solve this fundamental problem.The technique improves the security of online identification mechanisms because it is possible to counteract all of the existing security threats.The proposed technique supports mutual authentication and is safe from eavesdropping attacks,replay attacks,spoofing attacks,and service-denial attacks.Moreover,the technique supports non-repudiation by storing the transaction history in a transaction-linkage device.We believe that the security of Internet-banking services for 5G-enabled IoT will be increased through the utilization of the proposed technique.展开更多
Communication is important for providing intelligent services in connected vehicles.Vehicles must be able to communicate with different places and exchange information while driving.For service operation,connected veh...Communication is important for providing intelligent services in connected vehicles.Vehicles must be able to communicate with different places and exchange information while driving.For service operation,connected vehicles frequently attempt to download large amounts of data.They can request data downloading to a road side unit(RSU),which provides infrastructure for connected vehicles.The RSU is a data bottleneck in a transportation system because data traffic is concentrated on the RSU.Therefore,it is not appropriate for a connected vehicle to always attempt a high speed download from the RSU.If the mobile network between a connected vehicle and an RSU has poor connection quality,the efficiency and speed of the data download from the RSU is decreased.This problem affects the quality of the user experience.Therefore,it is important for a connected vehicle to connect to an RSU with consideration of the network conditions in order to try to maximize download speed.The proposed method maximizes download speed from an RSU using a machine learning algorithm.To collect and learn from network data,fog computing is used.A fog server is integrated with the RSU to perform computing.If the algorithm recognizes that conditions are not good for mass data download,it will not attempt to download at high speed.Thus,the proposed method can improve the efficiency of high speed downloads.This conclusion was validated using extensive computer simulations.展开更多
Air pollution caused by fine dust is a big problem all over the world and fine dust has a fatal impact on human health.But there are too few fine dust measuring stations and the installation cost of fine dust measurin...Air pollution caused by fine dust is a big problem all over the world and fine dust has a fatal impact on human health.But there are too few fine dust measuring stations and the installation cost of fine dust measuring station is very expensive.In this paper,we propose Cloud-based air pollution information system using R.To measure fine dust,we have developed an inexpensive measuring device and studied the technique to accurately measure the concentration of fine dust at the user’s location.And we have developed the smartphone application to provide air pollution information.In our system,we provide collected data based analytical results through effective data modeling.Our system provides information on fine dust value and action tips through the air pollution information application.And it supports visualization on the map using the statistical program R.The user can check the fine dust statistics map and cope with fine dust accordingly.展开更多
文摘Objective:This study aimed to translate the Academic Nurse Self-Efficacy scale(ANSE),assess its appropriateness for use in Korean nursing students,and evaluate the Korean Version of the Academic Nurse Self-Efficacy scale’s(K-ANSE)validity and reliability.Methods:The data of 444 nursing college students at 10 universities across the country were collected from November 1,2020 to June 8,2021.The K-ANSE was analyzed utilizing SPSS 25.0 and AMOS 25.0 programs.The K-ANSE’s content validity,construct validity,convergent/discriminant validity,criterion-related validity,and reliability were evaluated.Results:Internal emotion management,auto-regulatory behavior,external emotion management,and sociality were established.The Cronbach’sαfor the overall scale was 0.87,and that of the 4 subscales ranged from 0.70 to 0.89.Conclusions:The Korean version of the ANSE seems to be a valid and reliable instrument to measure Korean bachelor-level nursing students.
基金Achievements of Sichuan Fine Arts Institute Education and Teaching Reform Research Project“Construction of Multi-Level Strategic System for Cultivating Cultural Industry Management Talents in Colleges and Universities”(2024jg10)。
文摘Through SWOT(strengths,weaknesses,opportunities,and threats)and PEST(political,economic,social,and technological)analysis,this study discusses the construction of a multi-level strategic system for the cultivation of cultural industry management talents in colleges and universities.First of all,based on SWOT analysis,it is found that colleges and universities have rich educational resources and policy support,but they face challenges such as insufficient practical teaching and intensified international competition.External opportunities come from the rapid development of the cultivation of cultural industry management talents and policy promotion,while threats come from global market competition and talent flow.Secondly,PEST analysis reveals the key factors in the macro-environment:at the political level,the state vigorously supports the cultivation of cultural industry management talents;at the economic level,the market demand for cultural industries is strong;at the social level,the public cultural consumption is upgraded;at the technological level,digital transformation promotes industry innovation.On this basis,this paper puts forward a multi-level strategic system covering theoretical education,practical skill improvement,interdisciplinary integration,and international vision training.The system aims to solve the problems existing in talent training in colleges and universities and cultivate high-quality cultural industry management talents with theoretical knowledge,practical skills,and global vision,so as to adapt to the increasingly complex and diversified cultural industry management talents market demand and promote the long-term development of the industry.
基金This work was supported by the Ulsan City&Electronics and Telecommunications Research Institute(ETRI)grant funded by the Ulsan City[22AS1600,the development of intelligentization technology for the main industry for manufacturing innovation and Human-mobile-space autonomous collaboration intelligence technology development in industrial sites].
文摘In a vehicular ad hoc network(VANET),a massive quantity of data needs to be transmitted on a large scale in shorter time durations.At the same time,vehicles exhibit high velocity,leading to more vehicle disconnections.Both of these characteristics result in unreliable data communication in VANET.A vehicle clustering algorithm clusters the vehicles in groups employed in VANET to enhance network scalability and connection reliability.Clustering is considered one of the possible solutions for attaining effectual interaction in VANETs.But one such difficulty was reducing the cluster number under increasing transmitting nodes.This article introduces an Evolutionary Hide Objects Game Optimization based Distance Aware Clustering(EHOGO-DAC)Scheme for VANET.The major intention of the EHOGO-DAC technique is to portion the VANET into distinct sets of clusters by grouping vehicles.In addition,the DHOGO-EAC technique is mainly based on the HOGO algorithm,which is stimulated by old games,and the searching agent tries to identify hidden objects in a given space.The DHOGO-EAC technique derives a fitness function for the clustering process,including the total number of clusters and Euclidean distance.The experimental assessment of the DHOGO-EAC technique was carried out under distinct aspects.The comparison outcome stated the enhanced outcomes of the DHOGO-EAC technique compared to recent approaches.
基金supported by Ulsan Metropolitan City-ETRI joint cooperation project[21AS1600,Development of intelligent technology for key industriesautonomous human-mobile-space autonomous collaboration intelligence technology].
文摘In recent times,real time wireless networks have found their applicability in several practical applications such as smart city,healthcare,surveillance,environmental monitoring,etc.At the same time,proper localization of nodes in real time wireless networks helps to improve the overall functioning of networks.This study presents an Improved Metaheuristics based Energy Efficient Clustering with Node Localization(IM-EECNL)approach for real-time wireless networks.The proposed IM-EECNL technique involves two major processes namely node localization and clustering.Firstly,Chaotic Water Strider Algorithm based Node Localization(CWSANL)technique to determine the unknown position of the nodes.Secondly,an Oppositional Archimedes Optimization Algorithm based Clustering(OAOAC)technique is applied to accomplish energy efficiency in the network.Besides,the OAOAC technique derives afitness function comprising residual energy,distance to cluster heads(CHs),distance to base station(BS),and load.The performance validation of the IM-EECNL technique is carried out under several aspects such as localization and energy efficiency.A wide ranging comparative outcomes analysis highlighted the improved performance of the IM-EECNL approach on the recent approaches with the maximum packet delivery ratio(PDR)of 0.985.
基金This research was supported in part by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(NRF-2021R1A6A1A03039493)in part by the NRF grant funded by the Korea government(MSIT)(NRF-2022R1A2C1004401)in part by the 2022 Yeungnam University Research Grant.
文摘The exponential growth of data necessitates an effective data storage scheme,which helps to effectively manage the large quantity of data.To accomplish this,Deoxyribonucleic Acid(DNA)digital data storage process can be employed,which encodes and decodes binary data to and from synthesized strands of DNA.Vector quantization(VQ)is a commonly employed scheme for image compression and the optimal codebook generation is an effective process to reach maximum compression efficiency.This article introduces a newDNAComputingwithWater StriderAlgorithm based Vector Quantization(DNAC-WSAVQ)technique for Data Storage Systems.The proposed DNAC-WSAVQ technique enables encoding data using DNA computing and then compresses it for effective data storage.Besides,the DNAC-WSAVQ model initially performsDNA encoding on the input images to generate a binary encoded form.In addition,aWater Strider algorithm with Linde-Buzo-Gray(WSA-LBG)model is applied for the compression process and thereby storage area can be considerably minimized.In order to generate optimal codebook for LBG,the WSA is applied to it.The performance validation of the DNAC-WSAVQ model is carried out and the results are inspected under several measures.The comparative study highlighted the improved outcomes of the DNAC-WSAVQ model over the existing methods.
基金This research was supported by the MSIT(Ministry of Science and ICT),Korea,under the ITRC(Information Technology Research Center)support program(IITP-2020-2015-0-00403)supervised by the IITP(Institute for Information&communications Technology Planning&Evaluation)this work was supported by the Soonchunhyang University Research Fund.
文摘Recently,the fifth generation(5G)of mobile networks has been deployed and various ranges of mobile services have been provided.The 5G mobile network supports improved mobile broadband,ultra-low latency and densely deployed massive devices.It allows multiple radio access technologies and interworks them for services.5G mobile systems employ traffic steering techniques to efficiently use multiple radio access technologies.However,conventional traffic steering techniques do not consider dynamic network conditions efficiently.In this paper,we propose a network aided traffic steering technique in 5G mobile network architecture.5G mobile systems monitor network conditions and learn with network data.Through a machine learning algorithm such as a feed-forward neural network,it recognizes dynamic network conditions and then performs traffic steering.The proposed scheme controls traffic for multiple radio access according to the ratio of measured throughput.Thus,it can be expected to improve traffic steering efficiency.The performance of the proposed traffic steering scheme is evaluated using extensive computer simulations.
基金Supported by Grants from Basic Science Research Program through the National Research Foundation of Korea,which is funded by the Korean Government,No.NRF-2011-0011028the Sookmyung Women’s University Research Grants,No.1-1503-0168
文摘AIM: To examine the association between circulating 25-hydroxyvitamin D [25(OH)D] levels and colorectal adenoma in a case-control study and a meta-analysis. METHODS: We conducted a matched case-control study(112 cases and 112 matched controls) and combined 15 studies, including our study, in a metaanalysis. The study-specific odds ratios(ORs) and 95% confidence intervals(CIs) were pooled using a randomeffects model. In total, 5454 colorectal adenomas and 6656 controls were included in the meta-analysis. RESULTS: In a meta-analysis including 14 previous studies and our study, we observed a significant inverse association between circulating 25(OH)D levels and colorectal adenoma(OR = 0.68; 95%CI: 0.54-0.82) when comparing the highest category with the lowest category. Stratification by adenoma location(proximal or distal adenoma) showed similar estimates. When we stratified by study region, the ORs(95%CIs) were 0.70(0.52-0.88) in the US and 0.66(0.34-0.97) in Asia. CONCLUSION: These data suggest an inverse association between circulating 25(OH) Dlevels and colorectal adenoma in both Western and Asian populations.
基金Supported by Foundation of the Korean Association for the Study of the Liver Research Grant
文摘AIM:To investigate anxiety and depression propensities in patients with toxic liver injury.METHODS:The subjects were divided into three groups:a healthy control group(Group 1,n=125),an acute non-toxic liver injury group(Group 2,n=124),and a group with acute toxic liver injury group caused by noncommercial herbal preparations(Group 3,n=126).These three groups were compared and evaluated through questionnaire surveys and using the Hospital Anxiety-Depression Scale(HADS),Beck Anxiety Inventory(BAI),Beck Depression Inventory(BDI),and the hypochondriasis scale.RESULTS:The HADS anxiety subscale was 4.9±2.7,5.0±3.0 and 5.6±3.4,in Groups 1,2,and 3,respectively.The HADS depression subscale in Group 3 showed the most significant score(5.2±3.2,6.4±3.4 and 7.2±3.4in Groups 1,2,and 3,respectively)(P<0.01 vs Group 1,P<0.05 vs Group 2).The BAI and BDI in Group 3showed the most significant score(7.0±6.3 and 6.9±6.9,9.5±8.6 and 8.8±7.3,10.7±7.2 and 11.6±8.5in Groups 1,2,and 3,respectively)(BAI:P<0.01 vs Group 1,P<0.05 vs Group 2)(BDI:P<0.01 vs Group1 and 2).Group 3 showed a significantly higher hypochondriasis score(8.2±6.0,11.6±7.5 and 13.1±6.5in Groups 1,2,and 3,respectively)(P<0.01 vs Group 1,P<0.05 vs Group 2).CONCLUSION:Psychological factors that present vulnerability to the temptation to use alternative medicines,such as herbs and plant preparations,are important for understanding toxic liver injury.
基金This research was supported by the MSIT(Ministry of Science and ICT),Korea,under the ITRC(Information Technology Research Center)support program(IITP-2019-2015-0-00403)supervised by the IITP(Institute for Information&communications Technology Planning&Evaluation)this work was supported by the Soonchunhyang University Research Fund.
文摘The Internet of Things(IoT)has enabled various intelligent services,and IoT service range has been steadily extended through long range wide area communication technologies,which enable very long distance wireless data transmission.End-nodes are connected to a gateway with a single hop.They consume very low-power,using very low data rate to deliver data.Since long transmission time is consequently needed for each data packet transmission in long range wide area networks,data transmission should be efficiently performed.Therefore,this paper proposes a multicast uplink data transmission mechanism particularly for bad network conditions.Transmission delay will be increased if only retransmissions are used under bad network conditions.However,employing multicast techniques in bad network conditions can significantly increase packet delivery rate.Thus,retransmission can be reduced and hence transmission efficiency increased.Therefore,the proposed method adopts multicast uplink after network condition prediction.To predict network conditions,the proposed method uses a deep neural network algorithm.The proposed method performance was verified by comparison with uplink unicast transmission only,confirming significantly improved performance.
文摘Intra-hisian atrioventricular(AV) block is not a common phenomenon, but it is important for the development of advanced or complete AV block. We observed a 77-yearold female patient with the 2:1 AV block due to an intrahisian block. In this case we tried to detect the block site, but an alternating pattern of the AH conduction was noted on the His-electrogram in the electrophysiological study(EPS). The cause of the confusing finding might have been the instability of the catheter to record a His potential. We could detect a splitting of the Hiselectrogram with an intra-hisian block after minimal manipulation of the catheter. The authors' observations suggest that catheter stability is important for a precise recording in the EPS and radiofrequency catheter ablation procedure.
基金supported by Ulsan Metropolitan City-ETRI joint cooperation Project[21AS1600]Development of intelligent technology for key industries and autonomous human-mobile-space autonomous collaboration intelligence technology].
文摘Software-defined networking is one of the progressive and prominent innovations in Information and Communications Technology.It mitigates the issues that our conventional network was experiencing.However,traffic data generated by various applications is increasing day by day.In addition,as an organization’s digital transformation is accelerated,the amount of information to be processed inside the organization has increased explosively.It might be possible that a Software-Defined Network becomes a bottleneck and unavailable.Various models have been proposed in the literature to balance the load.However,most of the works consider only limited parameters and do not consider controller and transmission media loads.These loads also contribute to decreasing the performance of Software-Defined Networks.This work illustrates how a software-defined network can tackle the load at its software layer and give excellent results to distribute the load.We proposed a deep learning-dependent convolutional neural networkbased load balancing technique to handle a software-defined network load.The simulation results show that the proposed model requires fewer resources as compared to existing machine learning-based load balancing techniques.
基金This work was supported by the National Research Foundation of Korea(NRF)Grant Funded by the Korea government(Ministry of Science and ICT)(No.2017R1E1A1A01077913)by the Institute of Information&Communications Technology Planning&Evaluation(IITP)funded by the Korea Government(MSIT)(Development of Smart Signage Technology for Automatic Classification of Untact Examination and Patient Status Based on AI)under Grant 2020-0-01907.
文摘The early diagnosis of pre-existing coronary disorders helps to control complications such as pulmonary hypertension,irregular cardiac functioning,and heart failure.Machine-based learning of heart sound is an efficient technology which can help minimize the workload of manual auscultation by automatically identifying irregular cardiac sounds.Phonocardiogram(PCG)and electrocardiogram(ECG)waveforms provide the much-needed information for the diagnosis of these diseases.In this work,the researchers have converted the heart sound signal into its corresponding repeating pattern-based spectrogram.PhysioNet 2016 and PASCAL 2011 have been taken as the benchmark datasets to perform experimentation.The existing models,viz.MobileNet,Xception,Visual Geometry Group(VGG16),ResNet,DenseNet,and InceptionV3 of Transfer Learning have been used for classifying the heart sound signals as normal and abnormal.For PhysioNet 2016,DenseNet has outperformed its peer models with an accuracy of 89.04 percent,whereas for PASCAL 2011,VGG has outperformed its peer approaches with an accuracy of 92.96 percent.
文摘AIM To evaluate the efficacy and safety of modified FOLFIRINOX as a second-line treatment for gemcitabine(GEM)-refractory unresectable pancreatic cancer(PC).METHODS This study was a prospective, multicenter, one-arm, open-label, phase Ⅱ trial. Patients with unresectable PC, who showed disease progression during GEMbased chemotherapy were enrolled. All patients were administered FOLFIRINOX with reduced irinotecan and oxaliplatin(RIO; irinotecan 120 mg/m^2 and oxaliplatin 60 mg/m^2), which was set according to the phase Ⅰ study of FOLFIRINOX. The objective response rate(ORR), disease control rate(DCR), progressionfree survival(PFS), overall survival(OS), adverse events were evaluated. Additionally, changes in quality of life(QoL) were assessed using a questionnaire on QoL.RESULTS Between August 2015 and May 2016, a total of 48 patients were enrolled. The median follow-up time was 259 d with a median of 8.5 cycles. The ORR and DCR were 18.8% and 62.5%, respectively, including one patient who showed complete remission. The median PFS was 5.8 mo [95% confidence interval(CI): 3.7-7.9] and median OS was 9.0 mo(95%CI: 6.4-11.6). Neutropenia(64.6%) was the most common grade 3-4 adverse event, followed by febrile neutropenia(16.7%). Although 14.6% of patients experienced grade 3 fatigue, most non-hematologic AEs were under grade 2. In the QoL analysis, the global health status score before treatment was not different from the score at the last visit after treatment(45.43 ± 22.88 vs 48.66 ± 24.14, P = 0.548).CONCLUSION FOLFIRINOX with RIO showed acceptable toxicity and promising efficacy for GEM-refractory unresectable PC. However, this treatment requires careful observation of treatment-related hematologic toxicities.
文摘Background The benefit of statin use after acute ST-segment elevation myocardial infarction （STEMI） has been well established, however, the influence of the timing of statin administration has not been elucidated. The objective of this study focused on early clinical outcomes after percutaneous coronary intervention （PCI）. Methods This analysis of the Korea Working Group on Myocardial Infarction registry （KorMI） study included 3,584 STEMI patients （mean age, 63 ±13 years;male, 2,684, 74.9%） undergoing PCI from January 2008 to June 2009. Rates of major adverse cardiac events （MACE：all-cause death, recurrent MI, and target lesion revascularization） were compared among patients grouped according to statin therapy timing：I, both during and after hospitalization （n=2,653, 74%）;II, only during hospita-lization （n=309, 8.6%）;III, only after discharge （n=157, 4.4%）;and IV, no statin therapy （n=465, 13%）. Mean follow-up duration was 234 ± 113 days. Results Multivariate factors of statin use during hospitalization included prior statin use, multiple diseased vessels, final thrombolysis in myocardial infarction flow grade III, and low-density lipoprotein cholesterol level. At 6-month follow-up, groups Ⅲ and Ⅳ had the highest MACE rates （2.3%, 3.9%, 5.1%, and 4.9%for groups I-IV, respectively, P=0.004）. After adjusting for confounders, groups Ⅱ-Ⅳ had a higher MACE risk than group Ⅰ [hazard ratio （HR）：3.20, 95%confidence interval （95%CI）：1.31-7.86, P=0.011;HR：3.84, 95%CI：1.47-10.02, P=0.006;and HR：3.17, 95%CI：1.59-6.40, P=0.001;respectively]. Conclusions This study, based on the national registry database, shows early and continuous statin therapy improvs early outcomes of STEMI patients after PCI in real-world clinical prac-tice.
基金supported by the Basic Science Research Program,the National Research Foundation of Korea(NRF-2021R1F1A1050151).
文摘The generating functions of special numbers and polynomials have various applications in many fields as well as mathematics and physics.In recent years,some mathematicians have studied degenerate version of them and obtained many interesting results.With this in mind,in this paper,we introduce the degenerate r-Dowling polynomials and numbers associated with the degenerate r-Whitney numbers of the second kind.We derive many interesting properties and identities for them including generating functions,Dobinski-like formula,integral representations,recurrence relations,differential equation and various explicit expressions.In addition,we explore some expressions for them that can be derived from repeated applications of certain operators to the exponential functions,the derivatives of them and some identities involving them.
基金supported by the Basic Science Research Program,the National Research Foundation of Korea(NRF-2021R1F1A1050151).
文摘Degenerate versions of special polynomials and numbers applied to social problems,physics,and applied mathematics have been studied variously in recent years.Moreover,the(s-)Lah numbers have many other interesting applications in analysis and combinatorics.In this paper,we divide two parts.We first introduce new types of both degenerate incomplete and complete s-Bell polynomials respectively and investigate some properties of them respectively.Second,we introduce the degenerate versions of complete and incomplete Lah-Bell polynomials as multivariate forms for a new type of degenerate s-extended Lah-Bell polynomials and numbers respectively.We investigate relations between these polynomials and degenerate incomplete and complete s-Bell polynomials,and derive explicit formulas for these polynomials.
基金This work was partially supported by the National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(No.2018R1A4A1025632)the Soonchunhyang University Research Fund.
文摘With the growth of the scale of the market for Internet banking and e-commerce,the number of Internet-based financial markets has been increasing.Meanwhile,hacking incidents continuously affect Internet-banking services.For this reason,a countermeasure is required to improve the security of the online identification process.The current security and authentication mechanisms applied to financial services,such as Internet banking services for 5G-enabled IoT,do not ensure security.In this paper,a transaction-linkage technique with which the designated terminal is combined is proposed to solve this fundamental problem.The technique improves the security of online identification mechanisms because it is possible to counteract all of the existing security threats.The proposed technique supports mutual authentication and is safe from eavesdropping attacks,replay attacks,spoofing attacks,and service-denial attacks.Moreover,the technique supports non-repudiation by storing the transaction history in a transaction-linkage device.We believe that the security of Internet-banking services for 5G-enabled IoT will be increased through the utilization of the proposed technique.
文摘Communication is important for providing intelligent services in connected vehicles.Vehicles must be able to communicate with different places and exchange information while driving.For service operation,connected vehicles frequently attempt to download large amounts of data.They can request data downloading to a road side unit(RSU),which provides infrastructure for connected vehicles.The RSU is a data bottleneck in a transportation system because data traffic is concentrated on the RSU.Therefore,it is not appropriate for a connected vehicle to always attempt a high speed download from the RSU.If the mobile network between a connected vehicle and an RSU has poor connection quality,the efficiency and speed of the data download from the RSU is decreased.This problem affects the quality of the user experience.Therefore,it is important for a connected vehicle to connect to an RSU with consideration of the network conditions in order to try to maximize download speed.The proposed method maximizes download speed from an RSU using a machine learning algorithm.To collect and learn from network data,fog computing is used.A fog server is integrated with the RSU to perform computing.If the algorithm recognizes that conditions are not good for mass data download,it will not attempt to download at high speed.Thus,the proposed method can improve the efficiency of high speed downloads.This conclusion was validated using extensive computer simulations.
文摘Air pollution caused by fine dust is a big problem all over the world and fine dust has a fatal impact on human health.But there are too few fine dust measuring stations and the installation cost of fine dust measuring station is very expensive.In this paper,we propose Cloud-based air pollution information system using R.To measure fine dust,we have developed an inexpensive measuring device and studied the technique to accurately measure the concentration of fine dust at the user’s location.And we have developed the smartphone application to provide air pollution information.In our system,we provide collected data based analytical results through effective data modeling.Our system provides information on fine dust value and action tips through the air pollution information application.And it supports visualization on the map using the statistical program R.The user can check the fine dust statistics map and cope with fine dust accordingly.
