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آیا آزادسازی بازار سهام ، همزمانی قیمت سهام را کاهش می دهد؟ شواهدی از اتصال سهام شانگهای-هنگ کنگ
سال انتشار: 2022 - تعداد صفحات فایل pdf انگلیسی: 14 - تعداد صفحات فایل doc فارسی: 41 در این مطالعه تأثیر آزادسازی بازار سهام بر همزمانی قیمت سهام را با استفاده از سیاست جدید اصلاحی آزادسازی بازار سهام در چین در زمینه متصل کردن بازار سهام شانگهای-هنگ کنگ (SHSC)، به عنوان یک طرح نیمه آزمایشی، بررسی میکنیم. آنالیز تفاوت در تفاوت نشان می دهد که اجرای SHSC به طور معناداری همزمانی قیمت سهام شرکت های واجد شرایط پذیرفته شده در بورس اوراق بهادار شانگهای را کاهش می دهد و این تاثیر عمدتاً در شرکت های پذیرفته شده ای که درجه "باز بودن" آنها کمتر است ،وجود دارد. علاوه بر این، ما اثبات می کنیم که SHSC شفافیت اطلاعات و فراوانی افشاء داوطلبانه را ارتقا می دهد. در نهایت، دریافتیم که SHSC بر همزمانی قیمت سهام شرکت های واجد شرایط پذیرفته شده در بورس اوراق بهادار هنگ کنگ تأثیر نمی گذارد.
کلمات کلیدی: آزادسازی بازار سهام | همزمانی قیمت سهام | اتصال بازار سهام شانگهای-هنگ کنگ | کارایی اطلاعات |
مقاله ترجمه شده |
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Effects of a symptom management intervention based on group sessions combined with a mobile health application for persons living with HIV in China: A randomized controlled trial
اثرات مداخله مدیریت علائم بر اساس جلسات گروهی همراه با یک برنامه بهداشتی همراه برای افراد مبتلا به HIV در چین: یک آزمایش تصادفی کنترل شده-2021 Objective: This study aims to evaluate the effects of a symptom management intervention (SMI) based on
symptom management group sessions combined with a mobile health (mHealth) application (app) on
the knowledge of symptom management, the certainty of symptom self-management, symptom
severity, symptom distress, medication adherence, social support, and quality of life among persons
living with HIV (PLWH) in China.
Methods: A parallel randomized controlled trial with 61 PLWH was conducted in Shanghai, China. The participants in the control group (n ¼ 30) downloaded the Symptom Management (SM) app according to their needs and preferences, and received routine follow-ups. The participants in the intervention group (n ¼ 31) were guided to download and use the SM app, and received four tailored weekly group sessions at routine follow-ups. Each group session lasted for approximately 2 h and targeted one of the major modules of the SM app. All the outcomes were assessed at baseline and post-intervention. The study was registered with the Chinese Clinical Trial Registry (ChiCTR1900024821). Results: The symptom management knowledge and certainty of symptom self-management were significantly improved after the intervention (all P < 0.01). Compared with the control group, the scores of symptoms reasons knowledge score improved 11.47 points (95% CI: 3.41, 19.53) and scores of symptoms self-management knowledge score improved 12.80 points (95% CI: 4.55, 21.05) in the intervention group after controlling for covariates. However, other outcomes did not show statistically significant differences between the intervention group and the control group (P > 0.05). Conclusion: The SMI could improve PLWH’s symptom management knowledge and certainty of symptom self-management. Multi-center studies with larger sample sizes and longer follow-ups are needed to further understand the effects of SM app on ameliorating symptom severity and symptom distress. More innovative strategies are also needed to promote and maintain the sustainability of the SM app. keywords: چین | عفونت های HIV | برنامه های موبایل | پیروی از دارو | کیفیت زندگی | خود مدیریت | حمایت اجتماعی | China | HIV Infections | Mobile applications | Medication adherence | Quality of life | Self-management | Social support |
مقاله انگلیسی |
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تاثیر کویید-19 بر ریسک سقوط بازار سهام در چین
سال انتشار: 2021 - تعداد صفحات فایل pdf انگلیسی: 10 - تعداد صفحات فایل doc فارسی: 24 این مقاله به بررسی تاثیر بیماری مسری کویید-19 بر ریسک سقوط بازار سهام در چین می پردازد. بدین منظور ابتدا کجی شرطی توزیع سود را با مدل کجی جی.ای.آر.سی.اچ به عنوان شاخص ریسک سقوط بازار سهام شانگهای برآورد کردیم.سپس شاخص ترس از کویید-19را با داده های شاخص بایدو ساختاربندی کردیم. طبق یافته ها، کجی شرطی واکنش منفی به رشد روزانه در نمونه های تایید شده دارد، که نشان می داد شیوع این بیماری ریسک سقوط بازار سهام را افزایش می دهد. به علاوه احساس ترس این ریسک تاثیر کویید-19 را بدتر می کند. به عبارت دیگر هنگامی که احساس ترس زیاد باشد، ریسک سقوط بازار سهام به شدت تحت تاثیر بیماری همه گیر است. شواهد ما در چند نوع مرگ روزانه و نمونه های جهانی پابرجا است.
واژگان کلیدی: کویید 19 | احساس ترس | احساس سرمایه گذار | ریسک سقوط بازار سهام | کجی. |
مقاله ترجمه شده |
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Past, present, and future of knowledge management for business sustainability
گذشته، حال، و آینده مدیریت دانش برای پایداری کسب و کار-2021 Knowledge management has gained increasing importance and immense research interest for its promise in
advancing sustainability. Despite its proliferation in the literature, little is known about the research profile of
knowledge management research intertwined with sustainability. Given this gap, this article aims to conduct an
extensive review of knowledge management for sustainability research. Using bibliometrics, which is suitable for
large-scale reviews, this article reviews 1136 documents published in peer-reviewed journals indexed in the Web
of Science between 2001 and 2021. Noteworthily, the review sheds light on the performance of research con-
stituents (e.g., most prolific authors, countries, institutions, and journals), as well as the themes and topics
underpinning the intellectual structure (i.e., knowledge foundation, knowledge creation) in the field. Specif-
ically, the review reveals that knowledge management for sustainability research has relied on nine foundational
clusters (i.e., informed sustainability practice, social network, firm performance, knowledge sharing culture,
green innovation, sustainability assessment framework, global warming, knowledge management, and innova-
tive performance) to generate new knowledge across 10 thematic clusters, (i.e., ecological knowledge, green
innovation, the Shanghai Hongqiao district effect, the Agroscope Research Master Plan, food security, sustainable
supply chain management, business sustainability, knowledge creation, knowledge management, and technology
management). The article concludes with a new theory that encapsulates extant understanding of knowledge
management for sustainability along with promising avenues for future research. keywords: مدیریت دانش | پایداری | بررسی ادبیات | تجزیه و تحلیل کتابشناسی | Knowledge management | Sustainability | Literature review | Bibliometric analysis |
مقاله انگلیسی |
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Quantifying financial market dynamics: Scaling law in rank mobility of Chinese stock prices
کمییت پویایی بازار مالی: مقیاس بندی قانون در تحرک رتبه قیمت سهام چینی-2020 Rank mobility, which was designed to measure the average variation of relative rank positions
with respect to any absolute variable over a given time period, can be used to explore how the
memory of stock price ranking orders fades over time. We investigate the variations in rank order
of the closing prices of stocks registered at the Shanghai A-share market over a long period of 16
years. And we find that rank mobility increases as a power law with increasing time scale, and
eventually converges to a constant level. This power-law relationship can be observed not only
over a long period of 16 years but also for each consecutive year, especially their power-law
exponents are very close. The empirical evidence indicates a fundamental dynamics of Chinese
stock price movements. Keywords: Rank mobility | Stock price co-movement | Stock price dynamics | Firm-specific information | Power law |
مقاله انگلیسی |
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Nine-nine-six work system and people’s movement patterns: Using big data sets to analyse overtime working in Shanghai
سیستم کار نه-نه-شش و الگوهای حرکت مردم: استفاده از مجموعه داده های بزرگ برای تحلیل اضافه کاری در شانگهای-2020 Although topics regarding “996 work system” and overtime working have aroused hot arguments, there is scant
literature that analyses the spatial distribution and movement patterns of people who work overtime. This article
fills this gap by adopting big data analysis and examining the mobile phone signal data which allow the calculation
of the approximate spatial position of the mobile-phone user, and the generation of transportation flows
and individuals’ origin-destination (OD) flows. The findings show that no less than one third of employees in
Shanghai work overtime, and that overtime workers face higher job-housing imbalance than workers who have
normal work durations or flexible schedules. This corroborates David Harvey’s time-space compression theory.
Going beyond that, we further discover the interchangeability between exploitation in the time dimension, and
that in the spatial dimension, resulting in dual exploitation. This article has important policy implications for
optimizing the urban spatial system of Shanghai, as it advocates that in addition to strengthening the enforcement
of labor law, the government also needs to improve the public service such as strengthening the underground
system’s capacity, and construct affordable houses, so as to alleviate the employees’ sufferings caused by
temporal and spatial exploitation. Moreover, the research points out the necessity for Chinese cities to enhance
the vertical mixing, in order to shorten the job-housing distance. Keywords: Overtime working | Human activity patterns | Big data | Mobile phone Signal data | Shanghai | OD | Time-space compression | Vertical mixing of land use |
مقاله انگلیسی |
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Corporate legal insider trading in China: Performance and determinants
تجارت داخلی حقوقی شرکت در چین: عملکرد و عوامل تعیین کننده-2020 This article aims to study the performance of corporate legal insiders in the Chinese stock market from
January 2014 to June 2019, in the Shanghai Stock Exchange (SSE) and the Shenzhen Stock Exchange (SZSE).
We focus on buying transactions to avoid the cases where investors are forced to close their positions.
Our results first show that insider transactions are associated with significant and positive excess returns
above the SSE 180 and SZSE 100 market indexes. We also simulate random investors and compare their
performance with the insiders and find that random investors outperform insiders. On average, insiders
do not seem to have specific market timing skills in their purchase decisions, since they are not able
to beat pure random investors. We further investigate the main drivers of the performance of insiders.
Our results show that (1) the market return, the Sharpe ratio, unsystematic risk and GDP are the most
influential factors, (2) the explanatory of the variables’ set is larger for SZSE than for SSE, and (3) the
drivers’ estimates decrease as the holding period increases.
Keywords: Insider trading | China | Performance | simulation | LAR |
مقاله انگلیسی |
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China’s green future and household solid waste: Challenges and prospects
آینده سبز چین و ضایعات جامد خانگی: چالش ها و چشم انداز-2020 China is facing the dual challenge of economic development and environment protection. Recently,
Shanghai (tier-1 city) implemented the pilot project of household solid waste (HSW) management and
expects to execute a similar project in 45 cities across China by 2020. The current research’s aim is to
examine the pilot project’s progress by comparing it with existing HSW management practice in other
cities. From a theoretical perspective, a socio-ecological framework is used to examine citizens’ HSW
sorting behavior (HSWSB), which is further mapped based on the theory of planned behavior to enrich
the findings. A total of 1409 citizen responses are utilized to generalize the findings. The study concludes
that replicating tier-1 practices in other cities could produce unsatisfactory results. The regulatory environment
should focus on comparatively long-lasting citizen behavior change by designing a citizencentric
approach (i.e., awareness campaigns) related to ecological concerns (i.e., climate change) because
it could define the future of HSWSB practice in Chinese society. Keywords: Socio-ecological framework | Theory of planned behavior | Household solid waste | Waste sorting | China |
مقاله انگلیسی |
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Distributed learning on 20 000+ lung cancer patients – The Personal Health Train
یادگیری توزیع شده بر روی 20 000+ بیمار مبتلا به سرطان ریه - آموزش بهداشت شخصی-2020 Background and purpose: Access to healthcare data is indispensable for scientific progress and innovation.
Sharing healthcare data is time-consuming and notoriously difficult due to privacy and regulatory concerns.
The Personal Health Train (PHT) provides a privacy-by-design infrastructure connecting FAIR
(Findable, Accessible, Interoperable, Reusable) data sources and allows distributed data analysis and
machine learning. Patient data never leaves a healthcare institute.
Materials and methods: Lung cancer patient-specific databases (tumor staging and post-treatment survival
information) of oncology departments were translated according to a FAIR data model and stored
locally in a graph database. Software was installed locally to enable deployment of distributed machine
learning algorithms via a central server. Algorithms (MATLAB, code and documentation publicly available)
are patient privacy-preserving as only summary statistics and regression coefficients are exchanged
with the central server. A logistic regression model to predict post-treatment two-year survival was
trained and evaluated by receiver operating characteristic curves (ROC), root mean square prediction
error (RMSE) and calibration plots.
Results: In 4 months, we connected databases with 23 203 patient cases across 8 healthcare institutes in
5 countries (Amsterdam, Cardiff, Maastricht, Manchester, Nijmegen, Rome, Rotterdam, Shanghai) using
the PHT. Summary statistics were computed across databases. A distributed logistic regression model
predicting post-treatment two-year survival was trained on 14 810 patients treated between 1978 and
2011 and validated on 8 393 patients treated between 2012 and 2015.
Conclusion: The PHT infrastructure demonstrably overcomes patient privacy barriers to healthcare data
sharing and enables fast data analyses across multiple institutes from different countries with different
regulatory regimens. This infrastructure promotes global evidence-based medicine while prioritizing
patient privacy. Keywords: Lung cancer | Big data | Distributed learning | Federated learning | Machine learning | Survival analysis | Prediction modeling | FAIR data |
مقاله انگلیسی |
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A retrospective analysis of data from forensic toxicology at the Academy of Forensic Science in 2017
تجزیه و تحلیل گذشته نگر از داده های مربوط به سمیت شناسی پزشکی قانونی در آکادمی علوم پزشکی قانونی در سال 2017-2019 Knowing the specific pattern of forensic toxicology cases in a region is vital to help the local government
establish an effective prevention and treatment system; currently, there have been no published reports
investigating various types of forensic toxicology cases based on a large autopsy series and city size. The
data in this study were obtained from records kept at the Academy of Forensic Science (AFS) between
February 2017 and December 2017, and the cases were mainly from the Public Security Organs People’s
Police in Shanghai, China. There were 299 autopsies; the leading cause of death was traffic accidents
(37.1%), and the manners of death were mainly accidental (54.8%). From a total of 9083 cases, 1992
involved traffic accidents, 6787 were drug abuse, 269 were poisonings, and 35 were drug-facilitated
sexual assaults (DFSAs). We also investigated the pattern of unnatural deaths and the alcohol-positive
(with a blood alcohol concentration (BAC)
0.20 mg/ml) rate among the various cases. The BAC ranged
from 0.08 to 7.24 mg/ml in traffic cases, and the mean BAC of the total alcohol-positive drivers was
1.44 mg/ml. It was found that 80.8% of the drivers involved had a BAC
0.20 mg/ml (limit of civil offense),
and 72.8% had a BAC
0.80 mg/ml (limit of criminal offense). Among the drug abuse cases, there were
4073 cases (60.0%) that were positive for at least one euphoriant; the most frequently abused drug group
was amphetamine-type stimulants (ATS). Poisonings by natural toxins (such as scopolamine and
tetrodotoxin) account for a significant portion of accidental deaths. Pesticide poisoning was also
constituted a large portion, and organophosphorus were the cause of the majority of those cases. Suicide
by pesticide showed the highest frequency in the present study. Among the 35 DFSA cases,
dexmedetomidine was frequently detected in our study, which has rarely been reported previously
in DFSA cases. Keywords: Driving | Drug abuse | Poisoning | Drug-facilitated sexual assault | Retrospective study | Shanghai |
مقاله انگلیسی |