Significant Impact Factors Research Articles

Cloud-based control system: a bibliometric analysis

Network control system (NCS) approaches for distributed closed-loop control systems have been established in industrial control. However, recent advancements in cloud computing provide scalable, elastic, and low-cost networked computing capabilities over the internet, which can be utilized as an extension of NCS, in this term, cloud-based control systems (CCS) with a potential replacement of the controller. The main objective of this research is to use bibliometric analysis to obtain insight into diachronic productivity, the significant effect of the published information on the research network, and research trends based on term co-occurrences of the CCS domain. The literature study employs the PRISMA method to construct necessary inclusion criteria such as keywords, databases, publication year, accessibility, and primary article, then Publish or Perish is used to generate RIS formatted file for network analysis of co-authorship and term co-occurrence with VOSviewer. The results showed that Yuanqing Xia was the most prolific author in terms of the total published article and total citations received, China was the country with the highest publication output, and Elsevier was the publisher with the most significant impact factor. CCS emerged in 2012, and current research trends include control system architecture, controller, algorithm, stability, and approach on intelligent manufacturing.

Mode shift, motivational reasons, and impact on emissions of shared e-scooter usage

Shared vehicles are expected to improve urban mobility and reduce transport related emissions. Since 2017, e-scooters are deployed in sharing schemes in cities around the world. However, user behavior including replaced modes and motivations for mode change as well as impact on overall emissions is still in question. Based on a Germany wide user survey, we determine mode substitution, estimate a multinomial logit model to reveal influence of motivational aspects on shared e-scooter choice, and calculate impact on emissions. Results show that majority of shared e-scooter trips replace walking, followed by public transport and at the same rate private bikes and private cars. The calculated net emission balance is currently negative, although a path to a positive effect is likely. Reasons for car users to choose a shared e-scooter are less time spent searching for parking and avoiding congestion, but also sustainable behavior was a significant impact factor reported.

Relative T2-FLAIR signal intensity surrounding residual cavity is associated with survival prognosis in patients with lower-grade gliomas.

AimsTo investigate whether the relative signal intensity surrounding the residual cavity on T2-fluid-attenuated inversion recovery (rFLAIR) can improve the survival prediction of lower-grade glioma (LGG) patients.MethodsClinical and pathological data and the follow-up MR imaging of 144 patients with LGG were analyzed. We calculated rFLAIR with Image J software. Logistic analysis was used to explore the significant impact factors on progression-free survival (PFS) and overall survival (OS). Several models were set up to predict the survival prognosis of LGG.ResultsA higher rFLAIR [1.81 (0.83)] [median (IQR)] of non-enhancing regions surrounding the residual cavity was detected in the progressed group (n=77) than that [1.55 (0.33)] [median (IQR)] of the not-progressed group (n = 67) (P<0.001). Multivariate analysis showed that lower KPS (≤75), and higher rFLAIR (>1.622) were independent predictors for poor PFS (P<0.05), whereas lower KPS (≤75) and thick-linear and nodular enhancement were the independent predictors for poor OS (P<0.05). The cutoff rFLAIR value of 1.622 could be used to predict poor PFS (HR = 0.31, 95%CI 0.20–0.48) (P<0.001) and OS (HR = 0.27, 95%CI 0.14–0.51) (P=0.002). Both the areas under the ROC curve (AUCs) for predicting poor PFS (AUC, 0.771) and OS (AUC, 0.831) with a combined model that contained rFLAIR were higher than those of any other models.ConclusionHigher rFALIR (>1.622) in non-enhancing regions surrounding the residual cavity can be used as a biomarker of the poor survival of LGG. rFLAIR is helpful to improve the survival prediction of posttreatment LGG patients.

Comparison of influence factors on horizontal ground heat exchanger performance through numerical simulation and gray correlation analysis

Horizontal ground heat exchanger (HGHE) is a cost effective method to exploit geothermal energy due to its shallow installation depth, which meanwhile causes its performance sensitive to climatic conditions. However, quantitative effects of climatic conditions on the HGHE performance still remain unclear. Influence degrees of key factors on the HGHE performance are not yet studied. Therefore, we do not know which factors should be priorities for the HGHE design. To this end, influence degrees of all key factors, including injection mass flow rate, operation modes, heat storage, subsurface water flow, soil thermal conductivity, installation depth and especially atmospheric conditions (precipitation and air temperature), on the HGHE performance are comprehensively analyzed and compared through numerical simulation and gray correlation analysis. Results indicated that non-consideration of climatic conditions could underestimate HGHE outlet temperature in summer and winter. The intermittent operation mode showed much better performance than continuous one. Increasing installation depth and improving grout thermal conductivity were both beneficial for HGHE performance. The most significant impact factors on the HGHE performance were groundwater flow velocity > circulation flow rate > precipitation > air temperature. Based on simulation results, subsurface water flow, injection mass flow rate and climatic conditions should be priorities for the optimal design of HGHE.

Prediction model of renal function recovery for primary membranous nephropathy with acute kidney injury

Background and objectivesThe clinical and pathological impact factors for renal function recovery in acute kidney injury (AKI) on the progression of renal function in primary membranous nephropathy (PMN) with AKI patients have not yet been reported, we sought to investigate the factors that may influence renal function recovery and develop a nomogram model for predicting renal function recovery in PMN with AKI patients.MethodsTwo PMN with AKI cohorts from the Nephrology Department, the First Affiliated Hospital of Wenzhou Medical University during 2012–2018 and 2019–2020 were included, i.e., a derivation cohort during 2012–2018 and a validation cohort during 2019–2020. Clinical characteristics and renal pathological features were obtained. The outcome measurement was the recovery of renal function within 12 months. Lasso regression was used for clinical and pathological features selection. Prediction model was built and nomogram was plotted. Model evaluations including calibration curves were performed.ResultRenal function recovery was found in 72 of 124 (58.1%) patients and 41 of 72 (56.9%) patients in the derivation and validation cohorts, respectively. The prognostic nomogram model included determinants of sex, age, the comorbidity of hypertensive nephropathy, the stage of glomerular basement membrane and diuretic treatment with a reasonable concordance index of 0.773 (95%CI,0.716–0.830) in the derivation cohort and 0.773 (95%CI, 0.693–0.853) in the validation cohort. Diuretic use was a significant impact factor with decrease of renal function recovery in PMN with AKI patients.ConclusionThe predictive nomogram model provides useful prognostic tool for renal function recovery in PMN patients with AKI.

Quantification and Pattern of Central Compartment Lymph Nodes in pN1a Papillary Thyroid Cancer Patients.

Background: The background is to investigate the results of central compartment lymphadenectomy for pN1a papillary thyroid carcinoma (PTC) with regard to quantification and pattern of resected lymph nodes thereby providing basis for future compartment VI surgical intervention. Methods: The study comprised 443 pN1a PTC patients whose clinicopathological characteristics and central compartment lymphadenectomy results were compared and correlated with the primary thyroid cancer and lymph node metastasis (LNM) features. Ultimately, multivariate analysis was conducted to identify statistically significant impact factors for a high metastatic ratio (MR). Results: Dissected lymph nodes (DLNs) were more frequently identified in right level VI than left (P < .05) although there was no difference in in the number of resected metastatic lymph nodes (MLNs). Male sex, multifocality, extrathyroidal extension (ETE), and fewer DLNs were related to a high MR. There was a positive correlation between DLN and MLN, and a negative correlation between DLN and MR. Disease multifocality and ETE were identified more frequently in the left than the right thyroid lobe. Conclusion: The outcome of central compartment lymphadenectomy in pN1a PTC patients is associated with several factors, and a thorough dissection of lymph nodes improves the rate of metastatic lymph node resection.

What is the impact of perioperative cerebral oxygen desaturation on postoperative delirium in old population: a systemic review and meta-analysis.

Perioperative cerebral oxygen saturation (ScO2) has been reported to associate with postoperative delirium (POD) which is a common postoperative complication, however, the results were inconclusive. Therefore, we aimed to conduct an up-to-date review and meta-analyze the relationship between perioperative ScO2 and POD. We systematically searched PubMed, Embase and Web of science through January 13, 2022. The pooled results were estimated through a random-effects model meta-analysis and expressed as odds ratios (ORs) and standard mean differences (SMDs), accompanied with 95% confident intervals (CIs). Finally, of 467 searched articles, ten articles were included. A total of six studies reported the baseline ScO2 value and the pooled result showed that preoperative baseline ScO2 was lower in POD groups (SMD = -0.41, 95% CI -0.64 to -0.18). And beyond that, the pooled OR across four literatures about preoperative low ScO2 on POD was 3.44 (95% CI 1.69, 7.02). In contrast, insignificant differences were detected in baseline/lowest ScO2 value during intraoperative and postoperative period. Additionally, there were no statistically significant associations for intraoperative and postoperative low ScO2 effect on POD risk. Meta-regress analysis has found no significant impact factors. Based on current evidence, POD patients have a lower ScO2, and ScO2 desaturation may increase POD incidence, indicating the role of ScO2 underlying pathological mechanisms. For generalizability of evidence, we should rely on high-quality, considering more comprehensively longitudinal, interdisciplinary studies.

Combinatorial Test Case Generation Using Q-Value Based Particle Swarm Optimization

Combinatorial testing is an effective method for generating test cases. Pairwise testing is a combinatorial approach that evaluates the interactions between the input test parameters while reducing test case size by selecting a broader search area. Most combinatorial testing research focuses on developing novel approaches for generating an optimal number of test cases that cover pairwise combinations of input test parameters. Using existing test case generation techniques, optimal or near-optimal combinatorial test cases are generated in polynomial time. The authors presented the Q-value-based Particle Swarm Optimization (Q-PSO) technique for efficiently and effectively generating an optimal number of test cases. The primary goals of the proposed technique are to generate test cases using a Q-value based PSO, which is easier to build and has fewer parameters to define than other meta-heuristic search methodologies and to put the proposed technique into practice and report on an empirical study that examines and verifies the significant impact factors in the proposed approach. Q-value is used to evaluate the particles (referred to as test cases) in the Q-PSO. The reward is totalled in the Q-value, which serves as the fitness function for PSO evolution. The Q-value of each particle determines its performance and indicates how quickly the particle can lead the system's state to the set of objective states. The authors used the Q-PSO technique to validate the efficiency and efficacy of the proposed approach. The Q-PSO technique's results are compared to existing metaheuristics and computation-based techniques. In most inputs based on the development environment, meta-heuristic search techniques take significantly longer than other greedy techniques. For some inputs, the proposed Q-PSO technique outperforms existing meta-heuristics techniques. Q-PSO results are also compared to IPOG, ITCH, Jenny, TConfig, TVG, and other well-known computational-based techniques. The goal of the comparison is to examine how the size of the test cases generated has grown over time.

Comprehensive Analysis Revealed the Specific Soil Properties and Foliar Elements Respond to the Quality Composition Levels of Tea (Camellia sinensis L.)

C. sinensis cv. Sijichun is a representative Taiwanese low-altitude tea cultivar native to central Taiwan. To enrich the taste of tea in a geographically disadvantaged area, soil management became necessary but was obscure. The purpose of this study was to screen the main soil factors that influence the quality composition levels of tea to optimize the efficiency of tea tree horticulture. Soil and tea leaf samples collected from 20 tea plantations determined thirteen soil properties, nine leaf element nutrients and aluminum, and five main extractable quality compositions, including polyphenols, catechins, flavones, free amino acids, and caffeine in tea infusion. Pearson’s correlation analysis and principal component correlation analysis showed that soil available nutrients cannot respond to the concentration of corresponding essential elements in tea leaves; nevertheless, adequate leaf macronutrients and Zn could enhance polyphenol, free amino acid, and caffeine contents, but decreased flavone contents, and showed their consistent effect by soil characteristics. Of note, soil pH, EC, exchangeable calcium, exchangeable magnesium, total concentration of manganese, and total concentration of copper were shown as significant impact factors on free amino acid content. In summary, regulating the pH of soil under 3.51–5.21 in our study and managing soil effective Ca, Mg, and Zn supply could help to obtain a greater umami taste of tea.

Influence of Lymphangio vascular (V) and perineural (N) invasion on survival of patients with resected esophageal squamous cell carcinoma (ESCC): a single-center retrospective study.

BackgroundLymphangio vascular invasion (LVI) and perineural invasion (PNI) are associated with survival following resection for gastrointestinal cancer. But the relationship between LVI/PNI and survival of esophageal squamous cell carcinoma (ESCC) is still unclear. We aim to demonstrate the prognostic significance of LVI/PNI in ESCC.MethodsA total of 195 ESCC patients underwent curative surgery from 2012 to 2018 was collected in the 2nd Affiliated Hospital of Fujian Medical University. All the patients were divided into four groups based on the status of the neurovascular invasion: (1) neither LVI nor PNI (V0N0); (2) LVI alone (V1N0); (3) PNI alone (V0N1); (4) combined LVI and PNI (V1N1). First, the analysis included the Kaplan-Meier survival estimates with the Log rank test were performed to determine median overall survival (OS) in different groups divided according to the clinical factor, respectively. And the association between OS with multi clinical factors was examined using Cox regression analysis. Next, the risk factors for recurrence in patients with V1N1 were analyzed with univariate and multivariate logistic regression analyses, respectively.ResultsThe cases in V0N0, V1N0, V0N1, and V1N1 groups were 91 (46.7%), 62 (31.8%), 9 (4.6%) and 33 (16.9%), respectively. The OS in the four groups was different (P < 0.001). The 1-, 3- and 5-year OS in V0N0 group was higher than that in V1N1 group, respectively (1-year OS: 93.4% vs 75.8%, 3-year OS: 53.8 % vs 24.2%, 5-year OS: 48.1% vs 10.5%). The OS in stage I-II for patients with V1N1 was significantly lower than that in the other groups (V0N0, V1N0, V0N1) (P < 0.001). The postoperative adjuvant chemotherapy was a significant impact factor of OS for ESCC patients with V1N1 (P = 0.004). Lymphatic invasion and LVI were significantly prognosis factors associated (P = 0.036, P = 0.030, respectively). The ulcerative type is a risk factor for V1N1 occurance (P = 0.040).ConclusionsThe LVI and PNI are important prognosis factors for ESCC patients. ESCC patients with simultaneous lymphangio vascular and perineural invasion (V1N1) showed worse OS than patients with either lymphangio vascular or perineural invasion alone (V1N0 or V0N1) or none (V0N0). In addition, adjuvant chemotherapy may prolong the OS for ESCC patients with V1N1.

Making Decisions About Krabbe Disease Newborn Screening.

Making Decisions About Krabbe Disease Newborn Screening.

A simulation-based statistical method for planning modular construction manufacturing

Modular construction is a promising alternative to conventional construction; offering improved productivity, quality, and safety. To realize these benefits, sequencing the module fabrication process in a manner that ensures efficient allocation of labor resources is essential. However, the varying sizes and design specifications of modules lead to high variation in process times at workstations, ineffective utilization of resources, and imbalanced production lines. To address these challenges, this paper proposes a simulation-based statistical method to plan the sequencing of module fabrication and the allocation of workers at workstations for such that productivity and control are improved. The method consists of four processes: (i) data collection to obtain historical and near real-time data; (ii) identification of significant impact factors affecting process times at workstations along the production line; (iii) development of a predictive model for forecasting process times at workstations using statistical analysis and probability distribution function; and (iv) planning the sequencing of module fabrication in a manner that ensures efficient labor allocation (i.e., crew size). The developed method is validated using data captured from a light gauge steel wall panel production line operated by a modular fabricator in Edmonton, Canada. The industrial partner produces both interior and exterior light gauge steel wall panels on a production line consisting of multiple workstations. First, five significant impact factors for each workstation among the design factors that highly influence the process times were identified in order to develop cycle time formula as a predictive model. The simulation model developed and implemented in conjunction with cycle time formula (CTF) in this case study was deemed to be a reliable predictive model (i.e. 89.39% accuracy), which can be used to improve productivity. The method is shown to be capable of assisting in decision-making by enabling production managers to better understand the effects of proposed changes to the production line prior to implementation. In this way, production managers can plan effectively and thereby reducing non-productive idle time.

Prevalence and relative factors of health anxiety of elders in community healthcare centers.

The study's aims were (i) to identify the prevalence of health anxiety (HA) among the elderly in urban community healthcare centers and (ii) to determine whether HA is related to social, physical, or psychological factors. It is a population-based observational study. Data were collected from urban community healthcare centers in Chengdu, China, from October 2016 to March 2017. A total of 893 participants aged ≥ 60 years. The Short HA Inventory was used for HA assessment. Mental health status was assessed using the Geriatric Depression Inventory and Mini-Mental State Examination. Other information was collected through face-to-face interviews. Data analysis was performed using SPSS 19.0. The point prevalence rate of HA was 9.53% (95%CI = 6.99%-12.07%). The number of chronic diseases was a positive factor associated with HA in a regression analysis. As compared with participants without chronic diseases, people with one (OR = 1.796; 95%CI = 0.546-5.909), two (OR = 2.922; 95%CI = 0.897-9.511), and three chronic diseases (OR = 6.448; 95%CI = 2.147-19.363) had higher odds of suffering from HA. The prevalence of HA was high in the elderly population. Certain physical conditions, such as having chronic diseases, were significant impact factors. More attention should be paid to the situation of HA in this population.

The Impact of Cataract Surgery on Vision-Related Quality of Life and Psychological Distress in Monocular Patients.

Purpose To determine the changes in vision-related quality of life and psychological distress after cataract surgery in monocular patients and to compared these with a control group of age- and gender-matched binocular patients. Methods We enrolled 40 monocular patients and 40 binocular patients who underwent cataract surgery from August 2017 to December 2018. All participants undertook eye examinations and answered questionnaires (the National Eye Institute Visual Function Questionnaire, Self-rating Anxiety Scale, and Self-rating Depression Scale) before and after cataract surgery. Result The monocular patients had significantly worse mean CDVA than the binocular patients before and after surgery. However, there was no significant difference between the increases gained by the two groups. Mean composite VFQ-25 scores of the monocular group were significantly lower than those of the binocular group before and after surgery, but the improvement experienced by the monocular group was statistically larger than the binocular group (37.20 ± 12.84 vs. 19.11 ± 5.13, P < 0.001). Mean standard SAS scores of monocular patients were significantly higher than those of binocular controls before and after surgery, while monocular patients experienced a significant greater decline of SAS scores (−9.41 ± 5.39 VS −3.84 ± 1.61, P < 0.001). Mean standard SDS scores of the monocular group were significantly higher than those of the control group before and after surgery, but the monocular group experienced a significantly greater decline of SDS scores following cataract surgery (−11.91 ± 6.38 VS −4.78 ± 1.79, P < 0.001). There was a significant correlation between the preoperative logMAR CDVA and both the postoperative logMAR CDVA (r = 0.63, P < 0.001) and the changes in the logMAR CDVA (r = −0.881, P < 0.001) for monocular patients. Linear regression analyses suggested that higher postoperative VFQ-25 scores had significant associations with better preoperative CDVA and the absence of systemic comorbidity (both P < 0.05). Age and ocular comorbidity were significantly associated with postoperative SAS scores (both P < 0.05). Age and systemic comorbidity remained significant impact factors for SDS scores (both P < 0.05). Conclusion Monocular patients reported greater improvement in vision-related quality of life and greater decline in the level of anxiety and depression than binocular control subjects, despite having similar CDVA gains after cataract surgery. We argue that it is not a better choice for monocular patients to delay cataract surgery until the cataract is very advanced. A clear understanding of the impact of cataract surgery on vision-related quality of life and psychological distress in monocular patients is needed by ophthalmologists when making surgery decision.

Is There a Correlation Between Cobb Angle and Pulmonary Function Tests at 2-year Follow-up in Patients With Severe Spinal Deformity Treated by Posterior Vertebral Column Resection?

Study design:A retrospective study.Objective:The aim was to evaluate the relationships of Cobb angle and pulmonary function tests (PFTs) changes in severe spinal deformity and underwent posterior vertebral column resection (PVCR).Summary of Background Data:No previous study focused on the correlation of deformity correction and PFTs changes in patients with cobb angle >90 degrees.Methods:PFTs values [forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1), and percent-predicted values FVC%, FEV1%] were evaluated preoperative and at 2 years after PVCR. FVC% <80% were defined as restrictive ventilation dysfunction (RVD), the severity of RVD were divided into mild (FEV1% ≥70%), moderate (70% > FEV1% ≥50%) and severe (FEV1% <50%). The relationships among PFTs values improvements and all possible impact factors (mainly correction cobb angle) collected in this study were analyzed. PFTs data were compared among the 3 RVD subgroups (mild vs. moderate vs. severe) and between residual >30 versus <30 degrees.Results:A total of 53 cases (28 male/25 female, mean ages 18.9 Y) underwent PVCR in one center from 2004 to 2016 were enrolled cobb angle. When 2 years after PVCR, average PFTs values showed significant improvements. PFTs values changes showed no correlation with correction rate and correction angle. The only significant impact factor in this study for FVC, FVC%, FEV1 improvements was preoperative FVC% and the only impact factor for FEV1% improvement was preoperative FEV1%, the relationships were negative. In accordance with the regression analysis, PFTs values improvements among the 3 RVD subgroups from high to low was severe>moderate>mild. However, patients with residual cobb angle <30 degrees had less PFTs values improvements than patients with residual cobb angle >30 degrees.Conclusions:Two years after PVCR, PFTs values were significantly improved. There is no linear correlation between cobb angle change and PFTs values improvements. Lower preoperative FVC% and FEV1% indicate more PFTs values improvements at 2 years post-PVCR.Level of Evidence:Level III.

Tracing Uncertainty Contributors in the Multi‐Hazard Risk Analysis for Compound Extremes

AbstractIn this study, an iterative factorial multimodel Bayesian copula (IFMBC) framework was developed for revealing uncertainties in risk inferences of compound extremes under the consideration of diverse model structures and parameter sets. Particularly, an iterative factorial analysis (IFA) method would be advanced in IFMBC to track the dominant contributors to the imprecise predictions of multi‐hazard risks. The developed IFMBC framework was applied for the risk assessment of compound floods at two estuarine systems (i.e., Washington and Philadelphia) in US. The results indicate that the most likely compound events, under predefined return periods, exhibit noticeable uncertainties. Those uncertainties also present multiple hotspots which may be attributed to different impacts from different factors. By applying the IFA method, the results suggest the copula structure would likely be ranked as one of the top 2 impact factors for predictions of failure probabilities (FPs) in the scenarios of AND, and Kendall, with its contributions higher than 30% for FP in Kendall (more than 40% at Washington) and more than 25% for FP in Kendall (larger than 40% at Philadelphia). In comparison, the copula structure may not pose a visible effect on the predictive uncertainty for FP in OR, with its contribution possibly less than 5% under long‐term service time periods. However, the marginal distributions would have higher effects on FP in OR than the effects on the other two FPs. Particularly, the marginal distribution for the extreme variable with high skewness and kurtosis values tends to be ranked as one of the most significant impact factors for FP in OR. Also, the overall impacts from parametric uncertainties in both marginal and dependence models cannot be neglected for the predictions of all three FPs with their contributions probably larger than 20% under a short service time period. Compared with the traditional multilevel factorial analysis, the IFA method can provide more reliable characterization for uncertainty contributors in multi‐hazard risk analyses, since the traditional method seems to significantly overestimate the contributions from parameter uncertainties.

THE IMPACT OF DIGITALIZATION AND INTELLIGENTIZATION ON AIR TRANSPORTATION SYSTEM

This study aims to provide insights into the impact levels of digitalization and intelligentization on air transport system (ATS) in Australia, China, the US, and India. Air transport system is one of the most efficient transport systems which contains three elements: air traffic control, airport, and airlines. In modern society, the importance of digitalization and intelligentization in ATS is attached to by publics. In this study, firstly, comparative analysis is used to analyze the different states of digitalization and intelligentization level and air transport system in sample countries. Then, correlation analysis is used to study the correlation of the different impact factors with the ATS in different countries. The third one is regression analysis, it is used to analyze the relationship between ATS and the development of digitalization and intelligentization in four sample countries. At last, forecasting analysis is used to predict the future trend of digitalization and intelligentization’s impact on ATS in the sample countries in the next few years. Then, the most significant impact factors for ATS will be obtained. Also, the future development trends of ATS under digitalization and intelligentization’s impact could be forecasted by using econometric models.

A Study on Entrepreneurial Intention of University Students in Bangladesh

Entrepreneurial intention is the function of motives and barriers encountered by the university students during their studies. As the unemployment rate among the university graduates is the highest in Bangladesh, the research focused on university students with the aim to predict their entrepreneurial behaviors. Previous studies identified different environmental contexts of the countries have different influence on the perception regarding motives and barriers of entrepreneurial intention of the students. Hence, to stimulate the development of entrepreneurship, it is important to uncover university student&amp;rsquo;s perceptions regarding the motives and barriers to develop entrepreneurship and their influences on entrepreneurial intention of the graduates. To conduct the research, the primary data were collected from 398 business students using simple random sampling method through self-administered questionnaire. Descriptive statistics were used to analyze the demographic profiles of the respondents. A multivariate statistical technique like Factor Analysis was used to identify the factors influencing entrepreneurial intention and Regression Analysis was used to predict the significant impact factors. It is evident in the study that the driving factors like autonomy and market opportunity has significant positive impact whereas barriers like financial and government support, lack of skills has significant negative impact on the student&amp;rsquo;s entrepreneurial intentions. This paper will assist the policy makers, educational institutions and researchers to develop several implementable strategies like enterprise education, liberal tax system, financial and regulatory support to promote entrepreneurship in a developing country like Bangladesh.

Impact of Social Media Marketing on Buying Behaviors of Superstore Customers in Bangladesh

This study aims at identifying the impact factors of social media marketing on the buying behaviors’ of superstore customers in Bangladesh. Altogether, 291 buyers were surveyed from five superstores of Bangladesh such as, Agora, Meena Bazar, Shwapno, Almas Super Shop, and Nandan. A structured questionnaire with five points Likert scale was used to survey the customers. Descriptive statistics were used to present the profiles of the respondent customers while inferential statistics like Factor Analysis was used to identify the impact factors and Multiple Regression Analysis was used o identify the relationships between the impact factors and the overall impact on purchase decision of the customers. Study identified four significant impact factors such as, quick searching and verification of authenticity of product information, easy to order and saving time, customers addiction to media buying, and awareness of innovative and new products that induce the superstore customers to make their purchase decisions. This study suggests that the policymakers should focus on authenticity of product information, easy to order system that saves time, publicity of innovative and variety of products, and customer addicted towards media marketing for making the customers inclined towards buying the products and services from superstores of Bangladesh.

Analysis of Impact Factors Affecting Sleep Quality among Community-Dwelling Elderly Individuals in The Chinese Community in Shanghai

Context: Insomnia is prevalent among elderly individuals and has become a public health problem receiving increasing concern. Low sleep quality is related to a number of negative health outcomes. Objective: This research aims to investigate the sleep status of community-dwelling elderly individuals (aged 60 years or older) in Shanghai, China, to explore the impact factors affecting sleep quality. Methods: One street in Shanghai city was randomly selected, and 50% of the elderly residents were randomly selected as participants for a total number of 9,616 people. Investigations were conducted by indoor surveys through home doctors and paper questionnaires. For statistical analysis, univariate and multivariate regression analysis and the Spearman correlation model were performed using SAS 9.4 to analyze the effects of the impact factors on the sleep quality of elderly individuals. Results: Sleep quality is greatly affected by physical pain in both the elderly individual and the individual’s spouse. Healthy elderly people tend to have better sleep quality, and the more chronic diseases an elderly individual suffers, the worse their sleep quality is. In addition, the physical pain of a cohabiting spouse is one of the most significant impact factors influencing sleep quality. Conclusion: We suggest that community-dwelling elderly people maintain moderate outdoor activities and a healthy mental state, which will improve their sleep quality.