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Evaluating computing performance of deep neural network models with different backbones on IoT-based edge and cloud platforms
ارزیابی عملکرد محاسباتی مدلهای شبکه عصبی عمیق با ستون فقرات مختلف در بسترهای لبه و ابری مبتنی بر اینترنت اشیا-2022 This paper focuses on evaluating and predicting the computing performance of different archi-
tectures of deep neural network models (DNNs) in cross-platform and cross-inference frame-
works. We test nearly 30 typical DNN models for image recognition on Google Colab cloud
computing platform and Intel neural compute stick 2 embedded edge computing platform and
record the computational performance metrics i.e. the Top-N accuracy, model complexity,
computational complexity, inference time, memory usage, and so on. We compare and analyze
these performance parameters with the previous workstation equipped with NVIDIA Titan X
Pascal and an embedded system based on NVIDIA Jetson TX1 board to evaluate the inference
efficiency of different DNN models using different inference frameworks. The methods of ANOVA
are adopted to quantify the differences between the models. A combination method of cluster
analysis and regression analysis is proposed to find the similar inference time variation processes
across models, which can be used to predict the inference results of unknown models. These
presented results will contribute to better deployment and application of resource-constrained
DNN models on the heterogeneous high-performance computing platform. keywords: شبکه های عصبی عمیق | سکوهای متقابل | چارچوب های استنتاج متقابل | تشخیص تصویر | Deep neural networks | Cross platforms | Cross-inference frameworks | Image recognition |
مقاله انگلیسی |
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Factors associated with knowledge towards postoperative nausea and vomiting management among health professionals in referral Hospitals of Northwest Ethiopia: A multi-center cross-sectional study
عوامل مرتبط با دانش به سوی تهوع پس از عمل و مدیریت استفراغ در میان متخصصان بهداشتی در بیمارستان های ارجاع شمال غربی اتیوپی:یک مطالعه چند منظوره مقطعی-2021 Background: Knowledge of health care professionals on postoperative nausea and vomiting (PONV) and anti-
emetic prescription trends affects patient’s outcome after surgery and anesthesia and also patient and family
satisfaction. Hence, knowing the knowledge status of health professionals towards PONV management is vital for
the optimal care of surgical patients. Therefore, the study aimed to assess the knowledge and factors associated
with PONV management among health professionals in referral hospitals of Northwest Ethiopia.
Methods: An institutional based cross-sectional study was conducted on 407 health care professionals from March
1 to 30, 2019. A Simple random sampling technique was used to select the study participants. Both bivariable
and multivariable logistic regression analysis were used to identify factors associated with the knowledge level of
health professionals on PONV management. In the multivariable analysis, variables with a p-value <0.05 were
considered statistically significant.
Results: In this study, about 52.8% (95% CI: 47.9, 57.2) of the participants had good knowledge of PONV
management. Being male (AOR = 1.95; 95% CI: 1.20, 3.17), Physician (AOR = 5.36; 95% CI: 2.20, 13.5),
Anesthetist (AOR = 3.88; 95% CI: 1.66, 9.08), and taking training on PONV management (AOR = 5.32; 95%CI:
1.58, 17.89) were positively associated with good knowledgeable of health professionals about PONV
management.
Conclusion: and recommendation: More than half of health care professionals who are working in the periop-
erative sites of the referral hospitals had good knowledge about the PONV management. Being male, Physician,
Anesthetist and taking in-service training on PONV management were significantly affecting the knowledge level
of health professionals on PONV management. Thus, providing regular in-service training on PONV manage-
ment, especially for physician and anesthetist is highly recommended. keywords: تهوع و استفراغ پس از عمل | دانش | متخصصین سلامت | اتیوپی | Postoperative nausea and vomiting | Knowledge | Health professionals | Ethiopia |
مقاله انگلیسی |
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The impact of supply chain network structure on relationship management strategies: An empirical investigation of sustainability practices in retailers
تأثیر ساختار شبکه زنجیره تامین بر استراتژی های مدیریت رابطه: بررسی تجربی شیوه های پایداری در خرده فروشان-2021 The implementation of sustainability practices in today’s complex supply chain network (SCN) has been a great challenge for focal firms. To establish a sustainable SCN, understanding is needed about how focal firms’ decision-making processes can be affected by the extent to which they are embedded within a wider stakeholder network. Despite the increasing amount of research in sustainable supply chain management (SSCM), the way (why and how) that focal firms and their SCN actors interact in terms of sustainability practices has not been thoroughly explored. This paper investigates the impact of SCN structure on focal firms’ relationship management strategies (RMS) and identifies strategies that may be employed to implement sustainability practices throughout the SCN. A web-based survey was undertaken to collect data from a sample of 66 Australian food manufacturers and suppliers within two large retailers’ SCNs. The paper’s constructs were validated via exploratory factor analysis, and hierarchical multiple regression analysis was conducted to test the hypotheses. Five factors conceptualizing the SCN structure were identified (transparency, power, supplier dependency, buyer dependency, and distance) to determine the impact of the SCN structure on four RMS (non-compliance, transactional, dictatorial, and collaborative). Results show different relationships between each factor and RMS, thereby providing new insights into the implementation of sustainability practices in the SCN. The findings may assist managers to determine a balance in allocating resources to manage sustainability practices within their firms’ SCNs. This paper is amongst the few empirical works that examine the impact of SCN structure on RMS in SSCM.© 2021 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved. Keywords: Sustainable supply chain management | Supply chain network structure | Relationship management strategies |
مقاله انگلیسی |
4 |
R&D internationalization in medium-sized firms: The moderating role of knowledge management in enhancing innovation performances
بینالمللیسازی تحقیق و توسعه در شرکتهای متوسط: نقش تعدیلکننده مدیریت دانش در افزایش عملکرد نوآوری-2021 The aim of this paper is to analyze the relationship between SMEs’ R&D internationalization and their innovation
outcomes. Most studies on the topic focused on large multinational companies (MNCs), leaving several gaps in
the literature with regard to SMEs. Using data from 106 Italian SMEs we performed an OLS regression analysis to
test and find evidence of a positive linear relationship between SME’s R&D internationalization and innovation
performance. In addition, we found that this relationship is positively moderated by knowledge management
(KM) orientation. Main contributions are directed to the empirical test of the aforementioned relationships in a
specific under developed research area, i.e. non-high tech SMEs, thus highlighting the positive effect of foreign
acquisition of diverse cross-cultural knowledge on innovation. Moreover, KM orientation has been found to
amplify this effect in the context of SMEs, due to a better management and integration of key internal and
external knowledge. keywords: R&D internationalization | Innovation performance | SMEs | Knowledge management |
مقاله انگلیسی |
5 |
Integrating big data analytics into supply chain finance: The roles of information processing and data-driven culture
ادغام تجزیه و تحلیل داده های بزرگ در امور مالی زنجیره تأمین: نقش پردازش اطلاعات و فرهنگ داده محور-2021 The role of big data in implementing supply chain finance (SCF) initiatives lacks empirical study. There is little guidance available for managers on developing an integrated SCF process in the era of big data. Using organizational information processing theory, this study develops and empirically tests a theoretical framework that investigates the effect of big data analytics capability (BDAC) on SCF Integration, and the moderating effect of data-driven culture. The hypothesized relationships were tested using structural equation modelling and moderated regression analysis, with primary survey data collected from a sample of 307 manufacturing firms in China. The results indicate that BDAC has a significant positive effect on internal SCF Integration, and internal SCF Integration fully mediates the relationships between BDAC and SCF Integration with customers and sup- pliers. Data-driven culture significantly moderates the effect of BDAC on internal SCF Integration. These empirical findings provide timely and useful guidance for managers on using big data analytics and data-driven culture to implement integrated SCF practices to survive in today’s data-rich and uncertain environment. Keywords: Big data analytics capability | Data-driven culture | Integrated supply chain finance | Information processing capability |
مقاله انگلیسی |
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Pain management in the older adult: The relationship between nurses knowledge, attitudes and nurses practice in Ireland and Jordan
مدیریت درد در بزرگسالان سالخورده: رابطه بین دانش پرستاران، نگرش ها و تمرین پرستاران در ایرلند و اردن-2021 Background: Research studies regarding nurses’ knowledge attitudes and practice in the older adult are limited.
Furthermore, none of these studies attempted to investigate the relationship between knowledge attitudes and
practice. Furthermore, little studies compared nurses’ knowledge, attitudes and practice between Eastern and
Western countries.
Aim: To describe the factors associated with nurses’ acute pain management practice in the context of caring for
older adult patients.
Method: A quantitative, correlational, comparative and cross-sectional survey approach.
Data collection: Data were collected using survey questionnaire.
Sample: A sample of 267 registered nurses from Ireland and Jordan (one private hospital in each country).
Results: A multiple linear regression analysis revealed that nurses’ general knowledge and attitude towards pain
management was associated with their pain management practice, with a regression coefficient of 0.14 (p =
0.002). However, knowledge of pain in the elderly failed to reach a statistically significant relationship with pain
management practice. In regards to country and gender, Irish nurses had an average score that was 2.61 points
higher than Jordanian nurses (p < 0.001), female nurses had an average score that was 0.67 points higher than
male nurses (p = 0.025). The overall regression model was significant (p < 0.001) with an R2 value of 43.2%,
indicating that 43.2% of the variation in scores was explained by knowledge, attitude and practice.
Conclusion: More research studies combining the three concepts (knowledge, attitude and practice) are recom-
mended in the area of pain management. keywords: ارزیابی درد | مدیریت درد | تمرین درد | بزرگسالان قدیمی تر | Pain assessment | Pain management | Pain practice | Older adult |
مقاله انگلیسی |
7 |
Family-related antecedents of business legality: An empirical investigation among Italian family owned SMEs
پیشینیان قانونی بودن مشاغل مربوط به خانواده: تحقیق تجربی در میان شرکت های متوسط و متوسط متعلق به خانواده ایتالیایی-2020 We investigate the relationship between family-related factors in family owned businesses and the level of business legality, which is a key dimension of corporate social responsibility, surprisingly neglected despite its business and social relevance. By adopting the ability and willingness perspective, and merging it with signaling theory, we consider family involvement in management and generational stage as key antecedents of legal behavior in family owned businesses. We utilize an official legality rating recently developed by the Italian Competition Authority to build a unique dataset of 161 Italian family owned SMEs. Results from a regression analysis confirm our hypotheses: business legality increases with higher levels of family involvement in management, and at later generational stages. Keywords: Business legality | Family business | Family management | Generational stage | Corporate social responsibility |
مقاله انگلیسی |
8 |
Stimulation of the vagus nerve reduces learning in a go/no-go reinforcement learning task
تحریک عصب واگ باعث کاهش یادگیری در یک کار یادگیری تقویتی بدون حرکت می شود-2020 When facing decisions to approach rewards or to avoid punishments, we often figuratively go with our gut, and the impact of metabolic states such as hunger on motivation are well doc- umented. However, whether and how vagal feedback signals from the gut influence instru- mental actions is unknown. Here, we investigated the effect of non-invasive transcutaneous auricular vagus nerve stimulation (taVNS) vs. sham (randomized cross-over design) on approach and avoidance behavior using an established go/no-go reinforcement learning paradigm in 39 healthy human participants (23 female) after an overnight fast. First, mixed-effects logistic regression analysis of choice accuracy showed that taVNS acutely impaired decision-making, p = .041. Computational reinforcement learning models identified the cause of this as a re- duction in the learning rate through taVNS ( α= −0.092, p boot = .002), particularly after punishment ( αPun = −0.081, p boot = .012 vs. αRew = −0.031, p boot = .22). However, taVNS had no effect on go biases, Pavlovian response biases or response time. Hence, taVNS appeared to influence learning rather than action execution. These results highlight a novel role of vagal
afferent input in modulating reinforcement learning by tuning the learning rate according to
homeostatic needs. KEYWORDS : tVNS | Reinforcement learning | Computational modeling | Metabolic state | Instrumental acti |
مقاله انگلیسی |
9 |
An Updated Systematic Review and Meta-regression Analysis: Mental Disorders Among Adolescents in Juvenile Detention and Correctional Facilities
یک مرور سیستماتیک و تجزیه و تحلیل متا رگرسیون به روز شده: اختلالات روانی در نوجوانان در بازداشتگاههای نوجوانان و زندانهای اصلاح و تربیت-2020 Objective: To synthesize evidence on the prevalence of mental disorders in adolescents in juvenile detention and correctional facilities and examine
sources of heterogeneity between studies.
Method: Electronic databases and relevant reference lists were searched to identify surveys published from January 1966 to October 2019 that reported
on the prevalence of mental disorders in unselected populations of detained adolescents. Data on the prevalence of a range of mental disorders
(psychotic illnesses, major depression, attention-deficit/hyperactivity disorder [ADHD], conduct disorder, and posttraumatic stress disorder [PTSD])
along with predetermined study characteristics were extracted from the eligible studies. Analyses were reported separately for male and female adolescents,
and findings were synthesized using random-effects models. Potential sources of heterogeneity were examined by meta-regression and subgroup
analyses.
Results: Forty-seven studies from 19 countries comprising 28,033 male and 4,754 female adolescents were identified. The mean age of adolescents
assessed was 16 years (range, 10–19 years). In male adolescents, 2.7% (95% CI 2.0%–3.4%) had a diagnosis of psychotic illness; 10.1% (95% CI
8.1%–12.2%) major depression; 17.3% (95% CI 13.9%–20.7%) ADHD; 61.7% (95% CI 55.4%–67.9%) conduct disorder; and 8.6% (95% CI
6.4%–10.7%) PTSD. In female adolescents, 2.9% (95% CI 2.4%–3.5%) had a psychotic illness; 25.8% (95% CI 20.3%–31.3%) major depression;
17.5% (95% CI 12.1%–22.9%) ADHD; 59.0% (95% CI 44.9%–73.1%) conduct disorder; and 18.2% (95% CI 13.1%–23.2%) PTSD. Metaregression
found higher prevalences of ADHD and conduct disorder in investigations published after 2006. Female adolescents had higher prevalences
of major depression and PTSD than male adolescents.
Conclusion: Consideration should be given to reviewing whether health care services in juvenile detention can address these levels of psychiatric
morbidit Key words: criminal justice | detention | mental disorders | PTSD | systematic review |
مقاله انگلیسی |
10 |
Rehabilitation and social behavior: Experiments in prison
توانبخشی و رفتارهای اجتماعی: تجربه در زندان-2020 Despite the economic and social significance of crime reduction and criminals’ rehabilita-tion, research evaluating the effects of incarceration on behavior is surprisingly scarce. We conduct an experiment with 105 prison inmates and complement it with administrative data in order to explore several aspects of their social behavior. We first perform a comprehensive analysis of behavior in three economic games, finding evidence of discrimination against a sample from outside prison. In addition, our regression analysis reveals that inmates generally become less pro-social towards this out-group the longer they remain incarcerated. Finally, we introduce and evaluate a priming intervention that asks inmates to reflect on their time spent in prison. This intervention has a very sizeable and significant impact, increasing pro-sociality towards the out-group. Hence, a simple, low-cost intervention of this sort can have desirable effects in promoting rehabilitation and integration into social and economic life after release. Keywords: Prison inmates | Social behavior | Rehabilitation | Experiment |
مقاله انگلیسی |