bluuebunny/crossref_metadata_2025 huggingface dataset:
Method of treatment of lateral epicondylitis
Authors:   Central Military Clinical Hospital named after P.V. Mandryk, CHESNAKOV A. N. , KOKORIN V. V. ,   Central Military Clinical Hospital named after P.V. Mandryk, KRAYNYUKOV P. E. ,   Central Military Clinical Hospital named after P.V. Mandryk, EVTUSHENKO A. A. ,   Military Hospital 422
Published: December 2022

The article analyzes the issues of the clinic, diagnosis, choice of tactics for the treatment of lateral epicondylitis, as well as the positive aspects of conservative treatment by a combined use of traditional physiotherapy and the principles and methods of reflexotherapy. A new method for the treatment of lateral epicondylitis (patent for invention dated May 30, 2022) is presented, which is based on the synthesis of the classical physical method for the treatment of periarticular tissues pathology and reflexotherapy using the traditional Chinese medicine methods. This method of treatment enables in short terms, in the outpatient conditions, to stop the inflammatory syndrome in the area of the elbow joint, restore the physiological function of the upper limb, improve microcirculation, lymphatic drainage, and stimulate the proliferative-reparative process of the lateral epicondyle of the humerus. This method of treatment makes it possible to create optimal conditions for the repair of damaged enthesis and muscle structures as part of the muscular-tendon meridians of the large intestine and «the triple heater», the relief of the pathological inflammatory process, pain syndrome, the restoration of the volume of movement and the functional and physiological state of the upper limb. The presented method of treatment of the said pathology consists in non-drug therapy of lateral epicondylitis by using a device for vacuum-gradient therapy in local trigger zones diagnosed during ultrasound examination by a linear sensor L12-5. Diagnostics of «stress points» is performed according to the scheme of projection of the muscular-tendon meridian of the large intestine and «the triple heater» onto the skin. In the diagnosed «stress points» on the surface of the skin of the upper limb and the corresponding shoulder zone, massage is performed using vacuum-gradient suction cups with a diameter of up to 50 mm. High negative pressure (200 mmHg) is created in the «stress points» during the first session. In each subsequent session, the pressure achieved after the second session of therapy increases by 1.5–2 times and not more. The multiplicity of pressure increases depends on the individual tolerability of the procedure by the patient. The target level of achieving negative pressure at the «trigger point» is 800–1000 mmHg with reaching a plateau till a stable clinical effect is achieved. The maximum number of procedures was nine sessions for the patient. On average, five sessions with an interval of two to three days are enough to achieve a stable clinical effect.
Lebenslanges Lernen? Vergeschlechtlichte und kulturalisierte Legitimationsdiskurse zur Abwesenheit von Weiterbildung im Tieflohnsektor
Authors: Amstutz Nathalie , Küng Lea , Geisen Thomas , Hassler Benedikt , Wenger Nadine , Widmer Lea
Published: December 2022

In der Schweiz hat sich die ungleiche Weiterbildungsteilnahme zwischen gut- und geringqualifizierten Personen in den letzten Jahren verschärft. Im Tieflohnsektor, in dem Frauen und Personen ohne Schweizer Pass übervertreten sind, gibt es trotz bildungs- und arbeitsmarktpolitischer Initiativen zur Förderung kaum Weiterbildungsangebote, die zugleich als Bestandteil Lebenslangen Lernens verstanden werden. Wir begreifen Lebenslanges Lernen als Dispositiv und untersuchen, basierend auf empirischen Studien im Dienstleistungssektor, wie betriebliche Diskurse die fehlende Weiterbildung begründen und welche Rolle dabei Geschlecht und Migration spielen.
Organ-on-a-chip: Its use in cardiovascular research
Authors: Lim Soyeon , Kim Sang Woo , Kim Il-Kwon , Song Byeong-Wook , Lee Seahyoung
Published: December 2022

Organ-on-a-chip (OOAC) has attracted great attention during the last decade as a revolutionary alternative to conventional animal models. This cutting-edge technology has also brought constructive changes to the field of cardiovascular research. The cardiovascular system, especially the heart as a well-protected vital organ, is virtually impossible to replicate in vitro with conventional approaches. This made scientists assume that they needed to use animal models for cardiovascular research. However, the frequent failure of animal models to correctly reflect the native cardiovascular system necessitated a search for alternative platforms for preclinical studies. Hence, as a promising alternative to conventional animal models, OOAC technology is being actively developed and tested in a wide range of biomedical fields, including cardiovascular research. Therefore, in this review, the current literature on the use of OOACs for cardiovascular research is presented with a focus on the basis for using OOACs, and what has been specifically achieved by using OOACs is also discussed. By providing an overview of the current status of OOACs in cardiovascular research and its future perspectives, we hope that this review can help to develop better and optimized research strategies for cardiovascular diseases (CVDs) as well as identify novel applications of OOACs in the near future.
A two-dimensional boundary element method with generating absorbing boundary condition for floating bodies of arbitrary shape in the frequency domain
Authors: Gabriel Maarten , Wellens Peter
Published: December 2022

A two-dimensional (2D) boundary element method is developed for the rapid assessment of the hydrodynamic performance of floating structures in waves. The boundary element method is based on potential flow and has panels along all boundaries of the fluid domain – not only along the boundary of the floater – to make the extension to second order feasible. Panels along all boundaries requires the development of generating absorbing boundary conditions for use at radiation boundaries to send incident waves into the domain while absorbing waves originating from the floating body at the same boundary, at the same time. The model is verified by means of conservation of energy of a heaving wave energy converter, and by means of the propagation of second-order waves. The performance in terms of conservation of energy with 12 panels per wave length is good, the generating absorbing boundary condition works according to expectation and the second-order wave propagation corresponds to theory.
Clinical and Economic Assessment in Early-Stage Dementia by Severity and Amyloid-β Status: A 5-Year Retrospective Claims Study of GERAS-US Patients
Authors: Chandler Julie , Kubisiak Joanna
Published: December 2022

Background: The high burden of dementia and Alzheimer’s disease (AD) increases substantially as disease progresses. Characterizing early patterns of health care utilization among patients who develop cognitive impairment may deepen our understanding of early disease trajectory and potentially facilitate timely diagnosis and management. Objective: Describe clinical characteristics, healthcare utilization, and costs in early-stage dementia by disease severity and amyloid-β status before enrollment in an observational study (GERAS-US). Methods: Consented patients’ GERAS-US data were linked to available five-years of Medicare claims history before GERAS-US enrollment. Clinical characteristics, comorbidity, and pre-/post-diagnosis healthcare use and costs were assessed. Continuous and categorical variables were compared between severity and amyloid-status cohorts using t-test and Chi-square statistics; linear regression models were used to compare cost and utilization measures after adjusting for differences in patients’ observation time. Relative likelihood of observed diagnoses, comorbidity, and prescription drug use among cohorts were presented as OR and 90% confidence interval (CI). Results: Of 174 patients clinically diagnosed with early dementia (mild cognitive impairment (MCI): 101; mild dementia (MILD): 73), 55% were amyloid-positive. Memory loss was more likely in MILD versus MCI (OR:1.85, 90% CI 1.10–3.09) and in amyloid-positive versus amyloid-negative cohorts (OR:1.98, 90% CI 1.19–3.29). Mean annual healthcare costs after cognitive impairment/dementia diagnosis were significantly higher for MILD versus MCI ($1191 versus $712, p = 0.067) and amyloid-negative versus amyloid-positive ($1281 versus $701, p = 0.034). Diabetes was more prevalent in MILD and amyloid-negative cohorts. Conclusion: Comorbidity and economic burden increased in earliest stages of MCI and MILD and were higher in patients who were amyloid-negative.
Do They Align? Congruence Between Patient Preferences of People Living with Cognitive Impairments and Physicians’ Judgements for Person-Centered Care: An Analytic Hierarchy Process Study
Authors: Mohr Wiebke , Rädke Anika , Afi Adel , Weber Niklas , Platen Moritz , Mühlichen Franka , Scharf Annelie , Michalowsky Bernhard , Hoffmann Wolfgang
Published: December 2022

Background: Person-centered care (PCC) requires knowledge about patient preferences. Among people living with cognitive impairments (PlwCI), evidence on quantitative, choice-based preferences, which allow to quantify, weigh, and rank care elements, is limited. Furthermore, data on the congruence of patient preferences with physicians’ judgements for PCC are missing. Such information is expected to support the implementation of PCC; state-of-the-art medical care aligned with patients’ preferences. Objective: To elicit patient preferences and physicians’ judgements for PCC and their congruence. Methods: Data from the mixed-methods PreDemCare study, including a cross-sectional, paper-and-pencil, interviewer-assisted analytic hierarchy process (AHP) survey conducted with n = 50 community-dwelling PlwCI and n = 25 physicians. Individual AHP weights (preferences/judgements) were calculated with the principal eigenvector method and aggregated per group by aggregation of individual priorities mode. Individual consistency ratios (CRs) were calculated and aggregated per group. Group differences in preferences/judgements were investigated descriptively by means and standard deviations (SDs) of AHP weights, resulting ranks, and boxplots. Additionally, differences between groups were investigated with independent paired t-test/Mann Whitney U-test. Sensitivity of AHP results was tested by inclusion/exclusion of inconsistent respondents, with an accepted threshold at CR≤0.3 for patients, and CR≤0.2 for physicians, due to better cognitive fitness of the latter group. Results: Patient preferences and physicians’ judgements did not differ significantly, except for the criterion Memory Exercises (AHP weights (mean (SD)): 0.135 (0.066) versus 0.099 (0.068), p = 0.01). We did not see rank-reversals of criteria after exclusion of inconsistent participants. Mean CR for patients at the criteria level was 0.261, and 0.181 for physicians. Conclusion: Physicians’ judgements in our setting aligned well with patients’ preferences. Our findings may be used to guide the implementation of preference-based PCC.
Preliminary Analysis of Volume-Based Resting-State Functional MRI Characteristics of Successful Aging in China
Authors: Sun Jiaojiao , Zhao Xingfu , Zhou Jianbang , Dang Xinghong , Zhu Shenglong , Liu Liang , Zhou Zhenhe
Published: December 2022

Background: Resting-state function MRI (rs-fMRI) research on successful aging can provide insight into the mechanism of aging with a different perspective from aging-related disease. Objective: rs-fMRI research was used to analyze the brain function characteristics of successful aging. Methods: A total of 47 usual aging individuals and 26 successful aging (SA) individuals underwent rs-fMRI scans and neuropsychological tests. Volume-based rs-fMRI data analysis was performed with DPASF to obtain ALFF, ReHo, DC, and VMHC. Results: The SA group showed increased ALFF in right opercular part of inferior frontal gyrus (Frontal_Inf_Oper_R) and right supramarginal gyrus; increased ReHo in right middle temporal pole gyrus and decreased ReHo in left superior frontal gyrus and middle occipital gyrus; increased DC in right medial orbitofrontal gyrus and pulvinar part of thalamus; decreased DC in left fusiform gyrus and right medial frontal gyrus; increased VMHC in right medial orbitofrontal gyrus; and decreased VMHC in the right superior temporal gyrus, right and left middle temporal gyrus, right and left triangular part of inferior frontal gyrus. ALFF in Frontal_Inf_Oper_R were found to be significantly correlated with MMSE scores (r = 0.301, p = 0.014) and ages (r = –0.264, p = 0.032) in all subjects, which could be used to distinguish the SA (AUC = 0.733, 95% CI: 0.604–0.863) by ROC analysis. Conclusion: The brain regions with altered fMRI characteristics in SA group were concentrated in frontal (6 brain regions) and temporal (4 brain regions) lobes. ALFF in Frontal_Inf_Oper_R was significantly correlated to cognitive function and ages, which might be used to distinguish the SA.
Disaster Psychology and Psychological Adaptation of Disasters: Evidence From Riverine Islands (Char) of Rural Bangladesh
Authors: Amin Md. Ruhul , Shozib Sajjad Hossain , Rahman Md. Naimur , Azim Syed Anowerul , Mahbub Farzana , Sarker Md Nazirul Islam
Published: December 2022

Natural hazards disrupt the social-ecological system, causing much suffering, death, injury, and devastation of property and the environment. This study explores the factors influencing the disaster psychology and psychological adaptation of people living in disaster-vulnerable areas in Bangladesh. Data have been collected from 100 households in Bangladesh’s riverine island areas (char) of northern Bangladesh. Several criteria have been used to measure char dwellers’ disaster psychology (vulnerability concern, factor, and intensity) and psychological adaptation (weakness concern and emotional response). This study reveals that char dwellers perceived several hazards like floods (100%), riverbank erosion (83%), drought (29%), and earthquakes (14%). It is also found that females (88%) are more concerned about earthquakes than males (12%). The key vulnerability factors in the char areas are geographic position (100%), no access to migration (75%), resources (76%), housing (83%), training (18%), and alternative livelihood (24%). Flood and drought are identified as the most destructive hazards in char areas. Most household heads also felt anxiety (88%), fear (54%), helplessness, sadness, and anger due to natural hazards. The government should implement a context-specific disaster management plan to reduce household vulnerability and create livelihood opportunities in char areas to enhance char dwellers’ psychological resilience against disasters.
Rethinking Corporate Social Responsibility in the Arena of Climate Change: A Study in Socio-Legal Aspect
Authors: Mandal Gopa Chandra
Published: December 2022

Climate change is an environmental challenge confronting all countries across the globe in varying degrees of intensity. It, directly and indirectly, interferes with the enjoyment of all human beings including – the right to life, housing, water and sanitation, food, health, development, security of persons and an adequate standard of living. Industry and business play a crucial role with regard to climate change, accounting for approximately one-third of the world’s energy consumption and 36 per cent of carbon dioxide emissions. Therefore, industry and the global business community have a responsibility to join national and international efforts to lower their greenhouse gas emissions. Across Asia, Europe, Africa, and North and South America, the adverse effects of climate change have manifested over the years as ozone layer depletion, continental global warming, a shower of acid rain, extended fires, melting ice, rise in sea level and other extreme events which call for urgent action at national and international levels. A self-regulating approach that makes manufacturing organisations socially responsible and responsive to environmental issues in their operating countries can be pragmatic in climate-change mitigation, and strengthen existing governmental policies on climate change. A number of affirmative actions and recommendations has been formulated at national and international levels to regulate climate change including eco-vigilance, adoption of green, conservation of the flora and fauna, zero-tolerance of gas flaring, socially responsible investment, carbon emission reporting and disclosures and adoption of environment-friendly manufacturing techniques. Therefore, the present study not only focusses on the theoretical aspect but also on the socio-legal aspect filling the gap in both theory and practice related to the impact of Corporate Social Responsibility on society.
Vernacular House Architecture and Climate Change Adaptation: Lessons from the Indigenous Peoples of Cagayan, Philippines
Authors: Mabborang Ma. Haidee , Nozaleda Bryan M. , Maguddayao Ruth N. , Udaundo Leonora , Laggui Narcisa , Martin Engr. Buencamino , Sibal Corazon
Published: December 2022

Structures such as vernacular dwellings were not only shaped by culture and tradition but also reveal how people dealt with climate. Using a descriptive-qualitative research design, this study analysed the vernacular houses of the Ibanag, Itawit, and Malaweg in the province of Cagayan in the Philippines to derive a practical template for designing sustainable and climate-conscious houses and buildings. Using focus group discussions (FGD) and observations cross referencing it to concretised architectural and cultural sources revealed that the vernacular houses, particularly that of the Ibanag and Itawit, possess similar characteristics to the typical Filipino bahaykubo, however, distinguished with a separate kitchen bridged by a “balag” or “binattag”. It is elevated from the ground to keep the floor dry and to protect their belongings when the Cagayan River swells. The walling and windows of awning or sliding type made of bamboo practically makes the house penetrable providing natural ventilation and lighting. The “gannung” or “tallung” (silong in Tagalog) allows air to flow from below through the bamboo permeable floors. There is absence of ceilings or room divisions in the house that allows free circulation of air during the hot seasons. Moreover, materials like cogon, bamboo, uway (rattan), and local woods which are endemic in the locality were used in its construction. Ultimately, close community ties and the bayanihan spirit in the community are vital mechanisms for climate change adaptation. With the environmental challenges indigenous communities are facing today, the vernacular houses’ architectural design features can inspire the houses and buildings of today.
The Impact of Climate Change on Water Resources: Lessons from Villages of Tonk District of Rajasthan, India
Authors: Rajeev M.M.
Published: December 2022

Climate change is a major concern in Rajasthan’s water-stressed state. Climate change has a direct impact on the water resources in many parts of the state. In comparison to the rest of the country, the state has a larger portion of desert or arid lands (58% of the total geographical area) and limited water resources. Therefore, any adverse climate change conditions will likely have a catastrophic impact on the state’s already vulnerable water resource system. Attempts have been made in this study to understand the state’s climate conditions and highlight isolated past events that suggest climate change may occur in the state. It is emphasised that climate change modelling for various types of climate is required. To develop optimal water resource management strategies for different zones, cutting-edge tools such as remote sensing and geospatial tools must be used. The study’s overarching goal is to comprehend the impact of climate change on the study area’s water resources. The study’s objectives are as follows: (1) to determine the effects of climate change on the water resources of the study location, (2) to investigate the nature and impact of climate change-induced drought disasters in the study area, (3) to identify methods and strategies for mitigating potential risks and vulnerabilities due to climatic variations and (4) determine the scope of research and policy action in response to identified current and future vulnerabilities, as well as the anticipated effects of climate change. The descriptive study used both quantitative and qualitative data collection methods. A total of 100 respondents were chosen from the villages of Rajasthan’s Tonk district for quantitative data collection and 05 in-depth interviews with various stakeholders were conducted for qualitative analysis. The study revealed that indigenous knowledge systems have allowed various communities in the area to live in harmony with their environments for generations and that their traditional knowledge systems are essential tools in environment conservation and natural disaster management. Again, according to the study, the majority of respondents believe that climate change is a cause of drought disasters, which should be addressed through effective participatory research. The qualitative interviews made known themes such as stakeholder participation, climate modelling, the impacts of climate change on key development sectors, adaptation needs, initiatives, opportunities, and so on. The findings imply that climate change is one of the critical reasons for the occurrence of drought disasters in the study area and the state as a whole; drought and climate change have severely impacted water resources. To conclude, the study emphasises the emerging need for research, policy, and action to mitigate the impact of climate change on water resources and related areas.
A Study on the Association Between Climate and Corona Virus Outspread in South Indian States
Authors: Veeran Yoganandan , Balasubramaniyan Monisha , Kandasamy Selvaraj
Published: December 2022

In this study, we objectively focus on the relationship between the number of coronavirus (COVID-19) cases and key climate variables. We found that the risk of COVID-19 was approximately doubled during warm summer months when the aerosol molecules are likely stimulated by temperature and rainfall. Given that India is currently emerging as the new epicenter for the third and fourth outbreaks of COVID-19, we selected four key hotspot states-Maharashtra, Andhra Pradesh, Kerala, and Tamil Nadu - to closely look into the impact of climate variables on the spread of COVID-19 infected cases during 2020 and 2021. We found that COVID-19 is most active in temperature between 27°C and 32°C, while it is active in monthly average rainfall between 250 mm and 350 mm. This study further confirms that, although temperature and rainfall are not the initial triggers of COVID-19, both variables seem to play significant roles in spreading COVID-19 in India, especially during the summer season of 2020 and 2021, when the Indian summer monsoon was stronger in these four states.
Impact of virtual reality technology on digital media in the context of big data and artificial intelligence
Authors: Zhao Wei , Zhang Shuai , Li Xin
Published: December 2022

The widespread development of big data and artificial intelligence technology has brought a new development path to digital media technology at this stage. By applying virtual reality technology to multiple areas of digital media, digital media technology has fully demonstrated the actual ability of the scene structure of virtual reality technology in film and television production, game scene settings, urban planning, construction tourism and other industries. The development of digital media technology has brought new development space. The application of virtual reality technology can further shorten the distance between customers and information providers, bring the development of digital media technology into a new fast lane, and further increase the efficiency of digital media information dissemination. This article uses data analysis methods to build an evaluation model, study virtual reality technology in terms of technological coverage, and further proves by data theory that virtual reality technology brings a new direction and role in the development of digital media technology.
Comprehensive evaluation method of rural ecotourism based on grey clustering
Authors: Sui Lijuan , Zhang Zhe , Zhang Xuzhi
Published: December 2022

With the gradual urbanization of the countryside, people’s lifestyles have also undergone tremendous changes. Most people tend to live in the countryside, and people also choose tourist attractions with a rural flavor when traveling. This social background continues to promote the development of rural eco-tourism. develop. While the development of rural eco-tourism is driven by the dividends of the times, it may also be affected by various factors and lead to operational difficulties. In order to keep rural eco-tourism scenic spots in a profitable state, a comprehensive evaluation of rural eco-tourism has become the focus. The method of comprehensive evaluation of rural ecotourism is mainly completed by combining AI algorithms, big data and other auxiliary tools. However, due to the variety of evaluation-related factors involved in the comprehensive evaluation of rural ecotourism, the above evaluation methods cannot fully take into account the rural areas. All aspects of the comprehensive evaluation of ecotourism, so it is necessary to use a method that can complete an effective comprehensive evaluation with less evaluation-related factors to conduct a real evaluation of rural ecotourism. The grey clustering evaluation model is an evaluation method evolved on the basis of the research of Chinese scholars. It can classify and predict the categories according to some characteristics of the clustered objects, which effectively solves the inaccuracy and considerations existing in various current evaluation methods. Incomplete situation. This paper firstly sorts out the grey clustering method and related concepts and theories of rural ecotourism data. After a detailed analysis, and then combined with the gray clustering model to improve the algorithm, an evaluation method with better performance than the traditional gray clustering method was designed. It is found that the improved grey clustering method has more advantages than the method of AI algorithm, big data algorithm and other auxiliary tools for comprehensive evaluation of rural ecotourism.
A new method for constructing roads map in forest area using UAV images
Authors: Cheng Bojing , Ji Haonan , Wang Ying
Published: December 2022

High definition map is a map used for automatic driving. Its absolute precision is sub meter level, that is, the error between the position of an element on the map and the position of the element in the real world is less than 100 cm. In addition, compared with ordinary maps, high definition maps contain more geographic information, such as road width, slope, curvature, etc. At present, high definition roads map construction is largely for the main traffic road. However, there are few studies on the construction of high definition forest roads map for forestry production and management. Thus, it is imperative and helpful to explore an efficient and low-cost method for constructing high definition forest roads map that can provide accurate basic map services for forestry management activities. In this study, firstly, the DJI Phantom 4 RTK UAV was used for aerial photography to obtain the forest oblique images. Then, combined with close range photogrammetry, the high-resolution images under the forest are acquired and generated into dense point cloud images. Next, the two images are fused using iterative closest point (ICP) algorithm combined with manual registration; Finally, the fine-grained 3D scene model is generated by using the Context Capture 3D modeling software, based on which a high definition forest roads map was constructed using human-computer interaction model. Taking Menggongshan Forest Farm as an example, the construction of the fine 3D scene model was carried out to solve the problem of loopholes and ambiguities of the road model under forest, based on which the high definition forest roads map was constructed. To evaluate the accuracy of the forest roads map, the accuracy check was conducted. The results showed that the point position on the forest roads map, compared to the actual point, had a medium, minimum and maximum error of 0.076 m, 0.020 m and 0.170 m in plane, respectively, a medium, minimum and maximum error of 0.122 m, 0.005 m and -0.214 m in elevation, respectively. The accuracy of the high definition forest roads map meets the need of forestry production and management activities. It is feasible to adopt the method of UAV oblique photogrammetry combined with close-range photogrammetry, fine 3D scene model construction and human-computer interactive for constructing high definition forest road map. And this method can provide a low-cost and high-efficiency way for constructing high definition forest roads map, and also can better provide basic map data for forest management activities.
The development dilemma and countermeasures of Chinese cross-border e-commerce enterprises under the background of big data
Authors: Chen Guofang
Published: December 2022

Cross-border e-commerce has gradually emerged with the popularity of the Internet in the world. It represents a new business model of e-commerce. The public is still the same as the daily shopping model on e-commerce platforms. However, cross-border e-commerce can be divided into two parts at home and abroad. With the continuous emergence of new social models such as the Metaverse, the data generated by online social networking is becoming larger and larger, and data science has developed accordingly, and the effective use of data has become the key to the rapid development of various industries. Big data technology is the key to data science. A data processing and analysis technology generated in the development process, its use in the development of cross-border e-commerce enterprises will help enterprises to create products that are more in line with the actual requirements of the masses, increase the profits of enterprise operations, and allow enterprises to complete the era of data science smooth transition. This paper first describes the big data technology and related theories of cross-border e-commerce, and then takes Alibaba as an example to describe the SWOT analysis of my country’s cross-border e-commerce enterprises, and then analyzes the development dilemma of China’s cross-border e-commerce enterprises, and finally designs The development strategy of my country’s cross-border e-commerce enterprises based on big data is presented. Through a questionnaire survey of cross-border e-commerce enterprises that use big data technology in my country, it is found that cross-border e-commerce enterprises that combine big data technology have a greater understanding of overseas customers’ consumption psychology, integration of warehousing and logistics resources, and talent training. promote.
Evaluation of comprehensive reform effect of public hospitals in Sanming, Fujian Province
Authors: Wu Qianqian , Chen Zhiyuan
Published: December 2022

The reform of public hospitals is a complex process, involving multiple subsystems and the interaction of related factors. This paper conducts a preliminary evaluation of the joint reform of medication, medical care, and medical insurance in Sanming using quantitative and qualitative methodologies. The method of system dynamics is applied to model the three subsystems of medication, medical care, and medical insurance in Sanming and analyze the cause-and-effect relationship between different factors in the subsystem. Based on the analysis, the evaluation index is determined to evaluate the effect of the medical reform in Sanming. The analysis results show that Sanming’s public hospitals have experienced a comprehensive reform that includes changing the way pharmaceuticals are procured, cutting prescription prices, and raising hospital worker wages. To maximize the hospital revenue structure, the medical insurance payment system was changed. The expense of patient therapy was reduced, and the development of hierarchical diagnosis and treatment was encouraged.
A composite trend representation-based tracking system with historical portfolio data for portfolio optimization
Authors: Guo Rui
Published: December 2022

In this paper, we propose a novel tracking system based on composite trend representation and historical portfolio data (CTRHP) for portfolio optimization (PO). In the part of obtaining prediction of price, we introduce the important data of historical portfolio, which is rarely utilized before, to improve the accuracy of measuring investment performance. In addition, we propose a set of correlation coefficient-based similarity measurement functions (CSMFs) to automatically assign different weights to different trend representations, which enables each trend representation to have an impact on future price predictions and set the strength according to their investment performance. In the part of portfolio optimization, a new optimization objective based on generalized increasing factors is proposed to optimize the investment portfolio, and a fast solution algorithm is presented. Extensive experiments on six standard datasets from real financial markets across different assets and different time horizons show that our CTRHP achieves significantly better performance compared with previous state-of-the-art PO systems in investing returns and risk control. Moreover, it has the advantages of being able to tolerate certain transaction fees and running fast, which shows that it is suitable for real financial environments.
MSIF: Multi-source information fusion based on information sets
Authors: Yang Feifei , Zhang Pengfei
Published: December 2022

Multi-source information fusion is a sophisticated estimating technique that enables users to analyze more precisely complex situations by successfully merging key evidence in the vast, varied, and occasionally contradictory data obtained from various sources. Restricted by the data collection technology and incomplete data of information sources, it may lead to large uncertainty in the fusion process and affect the quality of fusion. Reducing uncertainty in the fusion process is one of the most important challenges for information fusion. In view of this, a multi-source information fusion method based on information sets (MSIF) is proposed in this paper. The information set is a new method for the representation of granularized information source values using the entropy framework in the possibilistic domain. First, four types of common membership functions are used to construct the possibilistic domain as the information gain function (or agent). Then, Shannon agent entropy and Shannon inverse agent entropy are defined, and their summation is used to evaluate the total uncertainty of the attribute values and agents. Finally, an MSIF algorithm is designed by infimum-measure approach. The experimental results show that the performance of Gaussian kernel function is good, which provides an effective method for fusing multi-source numerical data.
Solving fuzzy fractional q-differential equations via fuzzy q-differential transform
Authors: Osman Mawia , Xia Yonghui
Published: December 2022

This paper proposes a method for solving fuzzy linear and nonlinear partial q-differential equations by the fuzzy q-differential transform. Further, we implemented the fuzzy fractional q-differential transform for solving some types of fuzzy fractional q-differential equations. The technique investigated is based on gH-differentiability, fuzzy q-derivative, and fuzzy q-fractional derivative. Various concrete problems have been tested by implementing the new method, and the results show great performance. The results also reveal that the method is a very effective and quite accurate mathematical tool for solving fuzzy fractional and integer q-differential equations. Finally, we have provided some examples illustrating our method.
First year impacts of the COVID-19 pandemic on pediatric physiatrists
Authors: Houtrow Amy J. , Pruitt David W.
Published: December 2022

PURPOSE: The objective of this study was to determine how the COVID-19 pandemic impacted the work and compensation of pediatric physiatrists during the first year of the pandemic. METHODS: Pediatric physiatrists were surveyed in the spring of 2021 about how the first year of the COVID-19 pandemic impacted their practices as a part of a larger survey examining pediatric rehabilitation medicine practices. The COVID-19 specific questions covered three topic areas: 1) personal experiences with COVID-19; 2) occupational workflow changes due to COVID-19, including telehealth; and 3) employment consequences of the COVID-19 pandemic. RESULTS: Thirteen of 259 pediatric physiatrists reported having a COVID-19 infection, of whom none required hospitalization. Nearly all (96.5%) of pediatric physiatrists reported using telehealth during the pandemic compared to 14% prior to the pandemic. They reported numerous changes to their clinical operations, and 50% reported not having adequate personal protective equipment available for themselves or their staff all of the time. Fifteen pediatric physiatrists (5.9%) reported being furloughed, and three reported job loss during the first year of the pandemic. CONCLUSION: While only a small percentage of pediatric physiatrists contracted COVID-19 during the first year of the pandemic, nearly all experienced workflow changes.
Examination of the correlation between hand grip strength and muscle mass, balance, mobility, and daily life activities in elderly individuals living in nursing homes
Authors: Soyuer Ferhan , Cankurtaran Feyzan , Menevşe Özlem , Zararsız Gözde Ertürk
Published: December 2022

BACKGROUND: Aging is a process that includes progressive physiological changes. Grip strength is an important indicator of current health in the elderly. OBJECTIVE: The aim of the study was to examine the correlation between dominant-hand grip strength (HGS) and cognitive function, mid-upper arm circumference, muscle-bone mass, balance, mobility, and daily life activities in elderly individuals living in nursing homes and determine the effect rates of these factors on HGS. METHODS: Seventy-two elderly individuals aged over 65 who lived in a nursing home were included in the study. Dominant HGS and mid-upper forearm circumference were measured. Muscle and bone masses were measured with bioelectrical impedance analysis. Mid-upper arm circumference was measured using a non-elastic tape. HGS was measured using a hand dynamometer. Cognitive function was evaluated with the Standardized Mini-Mental Test (SMMT); mobility and balance were evaluated with the Timed Up and Go Test (TUGT) and Berg Balance Scale (BBS); the Katz Activities of Daily Living Scale (KATZ ADL) was used to evaluate daily life activities. RESULTS: There was a significant correlation between HGS and muscle and bone masses (p < 0.001). A significant correlation was found between HGS and TUGT, ADL (p = 0.001, p = 0.016). There was no significant correlation between HGS and BBS (p = 0.2). There was a correlation between HGS and SMMT at the statistical significance limit (p = 0.055). On HGS, the Body Mass Index had a 64.9% effect; the muscle mass had a 30.9% effect; the TUGT had a 27.7% effect. These parameters were found to explain 59.9% of the variance. CONCLUSION: As a global indicator of muscle strength, HGS can be used to predict age-related functional changes. Approaches to increase physical activity levels in elderly can be effective in reducing age-related negativities.
Leadership and well-being of employees in the Nordic countries: A literature review
Authors: Lundqvist Daniel , Wallo Andreas , Reineholm Cathrine
Published: December 2022

BACKGROUND: There is a need for more knowledge regarding the importance of managerial leadership for fostering well-being in the workplace and how context has been accounted for in previous research. OBJECTIVE: To carry out a literature review of previous research that empirically examines the importance of leadership for well-being in a Nordic working life context. METHODS: A rapid literature review was conducted with narrative analysis in 5 steps: establish focus, research questions, and inclusion criteria; literature search; relevance screening; quality assessment; data analysis. The search identified 4566 unique studies where 35 quantitative and five qualitative met the relevance and quality criteria. RESULTS: Findings from quantitative and qualitative studies are presented. Transformational and supportive leadership are recurrently associated with employee well-being, although the qualitative studies also highlight adaptive leadership and leaders being available and providing space. Some connections are made to the Nordic context in the reviewed studies, but these connections are not fully elaborated. CONCLUSION: Leadership is related to employee well-being, although this relationship seems to be indirect, mediated by other factors in the working environment. The review identifies the need for more well-designed studies addressing the contextual factors of this relationship, and how leadership should be exercised in practice.
Perceptions of medical advisers on ICF core-sets’ use for evaluating work incapacity related to back pain in French-speaking Belgium
Authors: Otte Thomas , Decuman Saskia , Gelade Wouter , Duyver Corentin
Published: December 2022

BACKGROUND: There is willingness in Europe to implement the use of a biopsychosocial model such as the International Classification of Functioning, Disability and Health (ICF) for assessing work incapacity. OBJECTIVE: A preliminary study was conducted to investigate the perceptions of medical advisers on the value of structuring clients’ biopsychosocial information in an ICF-based report. METHOD: A sample (n = 101) received a perception questionnaire after watching two comparative videos based on a clinical case. Questions relating to work incapacity were also asked. The data was analysed using quantitative methods. Comments were also collected. RESULTS: Before knowing the ICF-based report, 61.96% of the respondents believed a return to work seems possible by providing adapted work or a different job. There is an increase of 8.69 pp (p-value: 0.077) after reading the report. Opening up the initial sample to more insurance physicians (n = 119), the difference is more significant (p-value: 0.012). Also, 71.9% of respondents believe they have a better view of the client’s biopsychosocial situation after reading the report. Respondents recognise the clinical and diagnostic relevance of ICF but say it cannot be used at the moment for various reasons, such as the time required or the need for a multidisciplinary team and effective coordination. Older respondents are less enthusiastic about the appropriateness of using ICF. CONCLUSION: The respondents identify an added value in having a biopsychosocial based-report. After learning about the report, more physicians see opportunities for professional re-integration than before. The medical advisers and their team must be strengthened and receive a clear role in order to empower them.
At-Tafkîr al-Ibdâ’i wa Ahammiyyâtuhu ladâ Muta’allim al-Lughah al-‘Arabiyyah li Ghairi an-Nathiqîn Bihâ
Authors: Al Yahya Abdalkreem Ibnu Saad Salih
Published: December 2022

The current research aimed to study creative thinking among non-Arabic speaking students. Specifically, to identify the concept of creative thinking, its characteristics, importance and skills in non-Arabic speaking students, as well as to demonstrate the role of the learner of the non-spoken Arabic language in creative thinking, to identify previous theories and studies supporting creative thinking, and to make a set of recommendations on improving the teaching and learning practices of creative thinking among non-native Arabic language learners. The study was based on the method of inductive analysis, where a desk research study was conducted in creative thinking among non-Arabic speaking students in order to identify the nature of this relationship, its types, what it is and the means used to clarify it. The results of the study concluded that creative thinking is of great importance in increasing the levels of achievement and knowledge of non-Arabic speaking students, and that fluency, flexibility and originality skills are essential skills that should be available to non-Arabic speaking students. The study recommended promoting the inclusion of creative thinking skills For non-native Arabic learners, language and vocabulary in particular should be taught through communicative contexts and modes, and teachers should be trained to design Arabic language activities so that they are based on the creative thinking of learners and address their higher thinking skills.
Mustawâ Layâqah al-Ikhtibār li Mâdah al-Lughah al -‘Arabiyyah
Authors: Prihartini Yogia , Buska Wahyudi , Hakim Faridl
Published: December 2022

This study aims to describe: The types of tests in the final exams of the first semester, the quality of the tests, and the reasons why teachers do not carry out this test analysis. The sample of this study was students majoring in Arabic using purposive sampling using the percentage formula for validity, Cronbach Alpha for reliability, difficulty formula, and differentiation formula. The results of this study were: (1) the forms of the tests were achievement tests (learning objectives), teacher-made tests (writers), summative tests (test time), written tests (implementation), and subjective tests (how-to scores according to point of view. (2) The quality of a test is: (a) The validity of the test is good because it fulfills content validity, although the test items in the first-semester test are based on language structure 41.67% and vocabulary aspects 25% and reading skills 33.35 (b) Reliability of the test was higher at 5.87 (c) The level of difficulty of the very easy test is 0.57%. (d) The differential power test is not good enough by 0.52%. (3) The reason the teacher does not carry out an analytical test is (a) Lack of understanding of problem analysis, (b) They did not experiment in carrying out analytical tests, (c) They did not understand the ins and outs of revaluation, (d) They did not understand problem analysis and, (e) There were teachers who had not received training or seminars in the field of evaluation and analysis.
Code mixing in Arabic Conversation among Indonesian Students of Al-Azhar University
Authors: Husnah Arikah , Zaini Hisyam
Published: December 2022

The purpose of this research is to determine the form of code mixing used in WhatsApp group conversations among Indonesian students at Al-Azhar University Egypt and the factors causing code mixing in their conversations. This research is literary research using qualitative approach. The data obtained are analyzed using sociolinguistic theories, especially code-mixing. The objects of this research consist of words and sentences found in the conversations. The data, words and sentences, are taken from WhatsApp group named Sufara-Indonesia. In order to get data, researcher utilized documentation method, in which data are collected from WhatsApp conversation, followed by note-taking techniques. The results of the research are mixed language found in 40 sentences. Among the data, 32 are in the form of word, and 5 are in the form of phrases, 3 are clauses.  This research also found that among factors influencing code-mixing are their habit of using their mother tongue, Indonesian language, and their intimacy for they live in the same place far from their home land.