با سلام خدمت کاربران عزیز، به اطلاع می رساند ترجمه مقالاتی که سال انتشار آن ها زیر 2008 می باشد رایگان بوده و میتوانید با وارد شدن در صفحه جزییات مقاله به رایگان ترجمه را دانلود نمایید.
Research on the policy route of China’s distributed photovoltaic power generation
تحقیق در مورد مسیر سیاست تولید انرژی فتوولتائیک و توزیع شده در چین-2020
The distributed photovoltaic power generation is an important way to make use of solar energy in cities. China issues a series of policies to support the development of distributed photovoltaics in law, electricity price, grid connection standard, project management, financial support and so on. However, there are still some defects in policies and market mechanism. China creates a competitive market with a significant number of projects of distributed photovoltaic power through the reform of the electricity market, yet substantial drawbacks of the corresponding investment subsidies prevent distributed photovoltaic power from rapidly developing. This paper summarizes the status quo of China’s distributed photovoltaic power development, given its long-term plan, presents excellences and shortcomings of the existing policy system, and looks into the supporting policies and implementation paths for China’s distributed photovoltaic power in different stages. Innovative business models and financial support models are conducive to the development of distributed photovoltaic power. Financial innovation methods such as crowd funding and asset securitization should be encouraged to develop a sound risk assessment mechanism for projects, involve insurance institutions, and establish a risk sharing mechanism. In the context of a series of supporting policies, the distributed photovoltaic power in China will move towards market-oriented standardization for a healthier and more stable development.
Keywords: Distributed photovoltaic power | Electricity price | Policy route | Development strategy
MISS-D: A fast and scalable framework of medical image storage service based on distributed file system
MISS-D: یک چارچوب سریع و مقیاس پذیر از خدمات ذخیره سازی تصویر پزشکی بر اساس سیستم فایل توزیع شده-2020
Background and Objective Processing of medical imaging big data is deeply challenging due to the size of data, computational complexity, security storage and inherent privacy issues. Traditional picture archiving and communication system, which is an imaging technology used in the healthcare industry, generally uses centralized high performance disk storage arrays in the practical solutions. The existing storage solutions are not suitable for the diverse range of medical imaging big data that needs to be stored reliably and accessed in a timely manner. The economical solution is emerging as the cloud computing which provides scalability, elasticity, performance and better managing cost. Cloud based storage architecture for medical imaging big data has attracted more and more attention in industry and academia. Methods This study presents a novel, fast and scalable framework of medical image storage service based on distributed file system. Two innovations of the framework are introduced in this paper. An integrated medical imaging content indexing file model for large-scale image sequence is designed to adapt to the high performance storage efficiency on distributed file system. A virtual file pooling technology is proposed, which uses the memory-mapped file method to achieve an efficient data reading process and provides the data swapping strategy in the pool. Result The experiments show that the framework not only has comparable performance of reading and writing files which meets requirements in real-time application domain, but also bings greater convenience for clinical system developers by multiple client accessing types. The framework supports different user client types through the unified micro-service interfaces which basically meet the needs of clinical system development especially for online applications. The experimental results demonstrate the framework can meet the needs of real-time data access as well as traditional picture archiving and communication system. Conclusions This framework aims to allow rapid data accessing for massive medical images, which can be demonstrated by the online web client for MISS-D framework implemented in this paper for real-time data interaction. The framework also provides a substantial subset of features to existing open-source and commercial alternatives, which has a wide range of potential applications.
Keywords: Hadoop distributed file system | Data packing | Memory mapping file | Message queue | Micro-service | Medical imaging
Mindfulness mediates the relationship between cognitive reappraisal and resilience in higher education students
ذهن آگاهی واسطه ارتباط بین ارزیابی مجدد شناختی و انعطاف پذیری در دانش آموزان آموزش عالی-2020
Background: : associations between the constructs of cognitive reappraisal and resilience, in particular within the context of higher education (HE), have been consistently reported. Moreover, both constructs are strongly and positively associated with mindfulness, meaning that higher levels of mindfulness are found in people who are better at reappraising emotions and being resilient. However, no investigation has so far clarified the role that may mindfulness play in the relationship between cognitive reappraisal and resilience, especially within populations where a strong effect, such as for university students, is already evident. Aims: : the present study tested the hypothesis that mindfulness plays a mediational role in the association between cognitive reappraisal and psychological resilience. Sample: : this study involved a sample of 811 students enrolled at universities within the UK. Results: : the data confirmed the strong relationship between cognitive reappraisal and resilience, as well as each constructs individual association with mindfulness. In addition, mindfulness was a significant mediator of the relationship between cognitive appraisal and resilience, thus corroborating the studys main hypothesis. Conclusions: : as the concern around students’ mental health grows bigger worldwide, these findings suggest that implementing mindfulness training programmes within HE should be given increasing consideration in the future.
Keywords: Mindfulness | Emotion regulation | Cognitive reappraisal | Resilience | University students, Higher education
Drivers, barriers and social considerations for AI adoption in business and management: A tertiary study
رانندگان ، موانع و ملاحظات اجتماعی برای پذیرش هوش مصنوعی در مشاغل و مدیریت: یک مطالعه عالی-2020
The number of academic papers in the area of Artificial Intelligence (AI) and its applications across business and management domains has risen significantly in the last decade, and that rise has been followed by an increase in the number of systematic literature reviews. The aim of this study is to provide an overview of existing systematic reviews in this growing area of research and to synthesise their findings related to enablers, barriers and social implications of the AI adoption in business and management. The methodology used for this tertiary study is based on Kitchenham and Charter’s guidelines , resulting in a selection of 30 reviews published between 2005 and 2019 which are reporting results of 2,021 primary studies. These reviews cover the AI adoption across various business sectors (healthcare, information technology, energy, agriculture, apparel industry, engineering, smart cities, tourism and transport), management and business functions (HR, customer services, supply chain, health and safety, project management, decisionsupport, systems management and technology acceptance). While the drivers for the AI adoption in these areas are mainly economic, the barriers are related to the technical aspects (e.g. availability of data, reusability of models) as well as the social considerations such as, increased dependence on non-humans, job security, lack of knowledge, safety, trust and lack of multiple stakeholders’ perspectives. Very few reviews outside of the healthcare management domain consider human, organisational and wider societal factors and implications of the AI adoption. Most of the selected reviews are recommending an increased focus on social aspects of AI, in addition to more rigorous evaluation, use of hybrid approaches (AI and non-AI) and multidisciplinary approaches to AI design and evaluation. Furthermore, this study found that there is a lack of systematic reviews in some of the AI early adopter sectors such as financial industry and retail and that the existing systematic reviews are not focusing enough on human, organisational or societal implications of the AI adoption in their research objectives.
Keywords: artificial intelligence | business | machine learning | management | systematic literature review | tertiary study
Combining conventional and participatory approaches to identify and prioritise management and health-related constraints to smallholder pig production in San Simon, Pampanga, Philippines
تلفیق رویکردهای مرسوم و مشارکتی برای شناسایی و اولویت بندی مدیریت و محدودیتهای مرتبط با سلامتی در تولید خوک های خرده فروش در سن سیمون ، پامبانگا ، فیلیپین-2020
Pork is the main meat produced and consumed in the Philippines. The majority of pigs are raised by smallholders who experience a range of constraints to their pig production. This study presents the findings of the first part of an overarching project that used an Ecohealth approach and aimed to improve the production and competitiveness of the smallholder pig system in an area of the Philippines. A participatory approach was embraced, combining conventional and participatory epidemiology methods followed by a stakeholder discussion. The first aim was to identify management and health-related constraints to pig production among smallholder famers in San Simon, Pampanga, Philippines. The second aim was for the project team and stakeholders to jointly prioritise activities for the immediate future to address these constraints. Key management and health-related constraints identified included inadequate water supply to pigs, particularly lactating and gestating sows, and a range of feeding-related issues. Diarrhoea was recognised as the disease syndrome of highest priority and limited record keeping meant that farmers were unable to assess the productivity and profitability of their pig farming enterprises. Actions jointly prioritised by stakeholders and the project team were: the appointment of a project coordinator within each barangay; conduct two sets of seminars, the first covering water and nutrition and the second piglet management and diarrhoea, to be delivered by technical experts but with farmer “trusted sources” also sharing their experiences; development of easily understandable leaflets and posters covering key technical information; promotion of nipple drinkers attached to five-gallon water containers and creep boxes for piglets, and conduct of a record keeping workshop with a small group of innovative farmers to develop a useful and usable tool for record keeping. The use of multiple approaches to data-gathering enabled triangulation of study findings. Without any one of these components the understanding of the pig production system would have been less complete and it is possible that the proposed actions would not have been as well-tailored to the needs of the farmers. The participatory approach, in particular the stakeholder discussion, provided the opportunity to embrace the “deciding together” and “acting together” stances of participation rather than the lower “information giving” stance, thereby giving stakeholders greater ownership of the future activities of the overarching project and beyond.
Keywords: Philippines | Pig | Smallholder | Constraints | Participatory epidemiology | Ecohealth
Efficacy and safety of oral and inhalation commercial beta-glucan products: Systematic review of randomized controlled trials
اثربخشی و ایمنی محصولات بتا گلوکان تجاری و خوراکی استنشاق: مرور سیستماتیک کارآزمایی کنترل شده تصادفی-2020
Background & aims: Beta-glucans are advertised as biologically active compounds, with various health claims.We aimed to summarize results about efficacy and safety of commercial oral and inhalation betaglucan products on human health from randomized controlled trials (RCTs). Methods: We conducted systematic review of RCTs. We searched MEDLINE, CENTRAL and ClinicalTrials. gov. Any commercial product, any types of participants and any health-related outcomes were eligible. Two authors independently screened studies and extracted data. Cochrane risk of bias tool was used. This review did not have any extramural funding. Registration: PROSPERO record no. 42016043539. Results: We included 30 RCTs that were conducted on healthy or ill participants. Most of the trials reported beneficial effect of beta-glucan, but among the 105 different outcome domains and measures that were used, only three could be considered clinically relevant, while others were various biomarkers and surrogate outcomes such as complete blood count. Included studies on average had 33 participants per study arm, high or unclear risk of bias of at least one domain, and only half of them reported data for safety. More than half of trials that reported source of funding indicated commercial sponsorship from producers of beta-glucan. Only five RCTs reported trial registration. Conclusions: Commercial beta-glucan products were studied in a number of RCTs whose results can be considered only as preliminary, as they used small number of participants and surrogate outcomes. The quality of many studies was poor and further research and trials on bigger population should be performed before a final conclusion can be made.
Keywords: Beta-glucan | Systematic review | Evidence | Randomized controlled trial | Research waste
Community health education re-envisioned: The value of partnership with the local food bank
آموزش بهداشت جامعه مجددا پیش بینی شده است : ارزش مشارکت با بانک مواد غذایی محلی-2020
Baccalaureate-prepared nurses must be prepared to fulfill expanding role and skill expectations in community settings to improve population health. The use of non-traditional community clinical sites provides opportunities for students to learn and use a broad skill set such as leadership, communication, research, teaching, project management, and critical thinking. Students explore utilization of epidemiological systems and nursing theories to assist groups and communities to meet their nursing and community health needs. An example of a successful non-traditional partnership was established between our school and the regional food bank. This symbiotic relationship provides two-way benefits: students are afforded some flexibility and creativity in completion of required course assignments, and the food bank gains additional workers to help accomplish their strategic goals. It is a community health clinical resource that is accessible to schools of nursing in every community.
Keywords: Community health | Baccalaureate nursing education | Community partnership | Food bank | Clinical placement
Challenges and recommended technologies for the industrial internet of things: A comprehensive review
چالش ها و فن آوری های پیشنهادی برای اینترنت اشیا صنعتی: مرور جامع-2020
Physical world integration with cyber world opens the opportunity of creating smart environments; this new paradigm is called the Internet of Things (IoT). Communication between humans and objects has been extended into those between objects and objects. Industrial IoT (IIoT) takes benefits of IoT communications in business applications focusing in interoperability between machines (i.e., IIoT is a subset from the IoT). Number of daily life things and objects connected to the Internet has been in increasing fashion, which makes the IoT be the dynamic network of networks. Challenges such as heterogeneity, dynamicity, velocity, and volume of data, make IoT services produce inconsistent, inaccurate, incomplete, and incorrect results, which are critical for many applications especially in IIoT (e.g., health-care, smart transportation, wearable, finance, industry, etc.). Discovering, searching, and sharing data and resources reveal 40% of IoT benefits to cover almost industrial applications. Enabling real-time data analysis, knowledge extraction, and search techniques based on Information Communication Technologies (ICT), such as data fusion, machine learning, big data, cloud computing, blockchain, etc., can reduce and control IoT and leverage its value. This research presents a comprehensive review to study state-of-the-art challenges and recommended technologies for enabling data analysis and search in the future IoT presenting a framework for ICT integration in IoT layers. This paper surveys current IoT search engines (IoTSEs) and presents two case studies to reflect promising enhancements on intelligence and smartness of IoT applications due to ICT integration.
Keywords: Industrial IoT (IIoT) | Searching and indexing | Blockchain | Big data | Data fusion Machine learning | Cloud and fog computing
Utilizing renewable energy sources efficiently in hospitals using demand dispatch
استفاده از منابع انرژی تجدید پذیر با کارآیی در بیمارستان ها با استفاده از تقاضای ارسال -2020
Health centers and hospitals can be categorized as one of the major consumers of electrical energy in building sectors. Due to their competitive environment, they need to decrease their costs, including energy costs. On the other hand, environmental problems, lack of fossil fuels, and high energy consumption lead to using alternative energy generation methods like renewable energy sources (RESs). In this paper, we consider that the hospital can produce part of its energy from RESs for cost reduction and we implement demand dispatch energy program for using RESs efficiently. The challenge is that the main goal of hospital is providing health services not energy cost reduction. Therefore, we present a biobjective formulation for using RESs in hospitals in a way to minimize costs and dissatisfaction by scheduling the activities of the hospital by considering hospital’s specific constraints and limitations. With the help of the proposed model, hospitals will decrease energy costs while maintaining comfort of patients and surgeons at the same time. The model is solved using real data of a hospital in Iran, and sensitivity analysis on different parameters is done. The proposed model will cause reduction in energy cost of the hospital by implementing demand dispatch program for using RESs in the hospital.
Keywords: Renewable energy sources | Demand dispatch | Energy management | Health centers | Hospitals | Bi-objective
Factors influencing the adoption of mHealth services in a developing country: A patient-centric study
عوامل مؤثر بر اتخاذ خدمات بهداشتی و درمانی در یک کشور در حال توسعه: یک مطالعه بیمار محور-2020
mHealth under the umbrella of eHealth has become an essential tool for providing quality, accessible and equal health care services at an affordable cost. Despite the potential benefits of mHealth, its adoption remains a big challenge in developing countries such as Bangladesh. This study aims to examine the factors affecting the adoption of mHealth services in Bangladesh by using the extended Unified Theory of Acceptance and Use of Technology (UTAUT) model with perceived reliability and price value factors. It also examines the moderating effect of gender on the intention to use and on the actual usage behavior of users of mHealth services. A wellstructured face-to-face survey was employed to collect the data. Structural equation modeling (SEM) with a partial least squares method was used to analyze the data collected from 296 generation Y participants. The results confirmed that performance expectancy, social influence, facilitating conditions and perceived reliability positively influence the behavioral intention to adopt mHealth services. However, effort expectancy and price value did not have a significance influence on the behavioral intention. Moreover, Gender has a significant moderating effect on mHealth services adoption in certain cases. Finally, the theoretical and practical implications of this study are also discussed.
Keywords: mHealth | Developing countries | UTAUT model | Generation Y | Bangladesh