bluuebunny/crossref_metadata_2025_split huggingface dataset:
Case report: Translational treatment of unresectable intrahepatic cholangiocarcinoma: Tislelizumab, Lenvatinib, and GEMOX in one case
Authors: Zhang He-wei , Yu Hai-bo 
Published: July 2024

BackgroundIntrahepatic cholangiocellular carcinoma (ICC) is one of the most common invasive malignancies. Currently, ICC is treated with radical surgical resection. However, the majority of patients are diagnosed at an advanced stage, making surgery ineligible for them.Case presentationWe present a case of advanced ICC, which could not undergo radical surgery due to tumor invasion of liver blood vessels. The gemcitabine and oxaliplatin (GEMOX) regimen combined with Tislelizumab immunotherapy and Lenvatinib targeted therapy for 8 cycles resulted in significant tumor shrinkage significantly and the vascular invasion disappeared. CA19–9 levels were reduced to normal levels. Partial remission and successful tumor transformation were achieved. The patient underwent a successful radical surgical resection, including cholecystectomy, resection of liver segments IV, V, and VIII, as well as a regional lymphatic dissection procedure, resulting in complete pathological remission.ConclusionTumor-free surgical margins (R0) resection of patients with advanced ICC after combination of immune, targeted and chemotherapy is rare, and there are almost no cases of complete postoperative remission. The GEMOX regimen in combination with Tislelizumab and Lenvatinib has a good antitumor efficacy and safety profile, and may be a feasible and safe translational treatment option for advanced ICC.
A phase 1, randomized, double-blind, placebo-controlled, dose escalation study to evaluate the safety, tolerability, pharmacokinetics and immunogenicity of SHR-1905, a long-acting anti-thymic stromal lymphopoietin antibody, in healthy subjects
Authors: Fei Yue , Li Na , Qian Weilin , Fan Yang , Shen Yu , Wang Quanren , McLendon Kristi , Shen Kai 
Published: July 2024

IntroductionThymic stromal lymphopoietin (TSLP) is integral to inducing innate and T helper two cell inflammation that leads to clinical symptoms of asthma. SHR-1905 is a humanized immunoglobulin G1 kappa monoclonal antibody that inhibits TSLP bioactivity, developed for the treatment of severe uncontrolled asthma. This phase 1, randomized, double-blind, placebo-controlled single ascending dose study assessed the safety, tolerability, pharmacokinetics (PK), and immunogenicity of subcutaneous SHR-1905 in healthy subjects.MethodsFive dose cohorts were planned (50, 100, 200, 400, and 600 mg) and subjects were randomized (8:2) in each cohort to receive SHR-1905 or placebo with a follow-up period up to Day 253.ResultsThe majority of treatment-emergent adverse events (TEAEs) were mild and the incidence of TEAEs was comparable between the SHR-1905 and the placebo groups. The maximum serum concentration was reached 7.0–17.6 days after injection. The serum concentration of SHR-1905 increased with increasing dose level, and SHR-1905 exposure exhibited in a slightly greater-than-dose-proportional manner from 50 to 600 mg. SHR-1905 had a prolonged serum half-life around 80 days supporting every 6-month dosing. In SHR-1905 treated subjects, 15% tested positive for anti-drug antibodies post-dose with no apparent effect on corresponding PK profiles or safety.ConclusionSHR-1905 demonstrated a good safety and tolerability profile with a long half-life in healthy subjects after a single administration in the dose range of 50–600 mg.Clinical Trial Registration:clinicaltrials.gov, identifier NCT04800263
Animated VR and 360-degree VR to assess and train team sports decision-making: a scoping review
Authors: Jia Yaxiang , Zhou Xuan , Yang Jing , Fu Quan 
Published: July 2024

IntroductionIn team sports, athletes’ ability to make quick decisions plays a crucial role. Decision-making proficiency relies on the intricate balance of athletes’ perceptual and cognitive abilities, enabling them to assess the competitive environment swiftly and select the most appropriate actions from various options. Virtual reality (VR) technology is emerging as a valuable tool for evaluating and refining athletes’ decision-making skills. This study systematically examined the integration of VR technology into decision-making processes in team sports, aiming to identify more effective methods for presenting and interacting with virtual decision-making systems, thus enhancing the evaluation and refinement of athletes’ decision making abilities.MethodsFollowing the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, a thorough search of respected research databases, including Web of Science, PubMed, SPORTDiscus, ScienceDirect, PsycINFO, and IEEE, was conducted using carefully selected keywords.ResultsTwenty research papers meeting predefined inclusion criteria were included after careful evaluation. These papers were systematically analyzed to delineate the attributes of virtual decision-making task environments, the interactive dynamics inherent in motor decision-making tasks, and the significant findingsDiscussionThis review indicate that (1) the effectiveness of VR technology in assessing and improving athletes’ decision-making skills in team sports; (2) the construction of virtual environments using the Head-Mounted Display (HMD) system, characterized by enhanced ease and efficiency; (3) the potential for future investigations to explore computer simulations to create more expansive virtual motion scenarios, thus efficiently generating substantial task scenario material, diverging from the constraints posed by 360-degree panoramic videos; and (4) the integration of motion capture technology for identifying and monitoring athletes’ decision-making behaviors, which not only enhances ecological validity but also augments the transfer validity of virtual sports decision-making systems. Future research endeavors could explore integrating eye-tracking technology with virtual reality to gain insights into the intrinsic cognitive-action associations exhibited by athletes.
Eliciting guilt in virtual reality games: interplay of self-attribution, presence, and morality
Authors: Ahn Changhyun , Noh Ghee Young 
Published: July 2024

IntroductionThis study investigates the psychological mechanisms in virtual reality (VR) games, focusing on the interplay between character morality, self-attribution, presence, guilt, and their collective impact on player enjoyment. Based on Affective Disposition Theory, it hypothesizes that players’ moral judgments of characters significantly affect their engagement and enjoyment of VR narratives.MethodsA post-test between-subjects experiment was conducted with 97 participants to examine the influence of character morality on guilt through the mediation of self-attribution, and how these factors affect players’ sense of presence and overall enjoyment in VR games.ResultsThe findings indicate that self-attribution significantly mediates the relationship between character morality and guilt. Additionally, the sense of presence enhances enjoyment, with a stronger sense of ‘being there’ amplifying the emotional impact of players’ moral decisions.DiscussionThis study highlights the full mediating effect of self-attribution in the context of VR gaming, intensifying players’ emotional responses to moral dilemmas. The results suggest that VR game designers should consider the moral implications of game narratives and character actions to create more emotionally engaging and ethically reflective gaming experiences. These insights have significant implications for VR game design and ethics, promoting greater ethical sensitivity among players.
Causal association between air pollution and allergic rhinitis, asthma: a Mendelian randomization study
Authors: Zhong Juan , Li Weiye , Yang Shasha , Shen Yifeng , Li Xinrong 
Published: July 2024

BackgroundsObservational studies suggest that air pollutants, including particulate matter and nitrogen compounds, could elevate asthma and allergic rhinitis health risks. Nevertheless, the exact nature of the causal relationship between air pollution and asthma and allergic rhinitis remains unknown. This study utilizes the Mendelian randomization (MR) technique to explore the potential causal links between air pollution components (PM2.5, PM2.5–10, PM10, NO₂, and nitrogen dioxide) and the incidence of allergic rhinitis and asthma.MethodsA MR study utilized summary statistics from GWAS that are publicly accessible. The inverse variance weighting (IVW) approach served as the foundational analysis technique. To ensure robustness, supplementary methodologies such as the weighted median, MR-Egger regression, simple mode, and weighted model were also applied. Heterogeneity was evaluated using Cochran’s Q test, and the presence of pleiotropy was determined through MR-Egger regression. The MR-PRESSO test was employed for outlier detection, and the analysis’s sensitivity was scrutinized via a leave-one-out strategy.ResultsThe IVW technique showed a strong correlation between PM10 and asthma (OR = 0.625, 95% CI = 0.396–0.988, p = 0.044). No significant associations were found between asthma and other air pollutants such as PM2.5, PM2.5–10, NO₂, or nitrogen dioxide. Similarly, allergic rhinitis showed no causal relationships with any studied air pollution metrics. Pleiotropy was absent in the findings. Sensitivity analyses, employing the leave-one-out method, confirmed the stability of these results, unaffected by individual single nucleotide polymorphisms (SNPs).ConclusionThis Mendelian randomization study establishes a causal link between PM10 exposure and asthma, suggesting that interventions to reduce air pollution may decelerate the adverse progression of asthma.
External validation of a prognostic model to improve prediction of psychosis: a retrospective cohort study in primary care
Authors: Sullivan Sarah A , Morris Richard , Kounali Daphne , Kessler David , Hamilton Willie , Lewis Glyn , Lilford Philippa , Nazareth Irwin 
Published: July 2024

BackgroundEarly detection could reduce the duration of untreated psychosis. GPs are a vital part of the psychosis care pathway, but find it difficult to detect the early features. An accurate risk prediction tool, P Risk, was developed to detect these.AimTo externally validate P Risk.Design and settingThis retrospective cohort study used a validation dataset of 1 647 934 UK Clinical Practice Research Datalink (CPRD) primary care records linked to secondary care records.MethodThe same predictors (age; sex; ethnicity; social deprivation; consultations for suicidal behaviour, depression/anxiety, and substance misuse; history of consultations for suicidal behaviour; smoking history; substance misuse; prescribed medications for depression/anxiety/post-traumatic stress disorder/obsessive compulsive disorder; and total number of consultations) were used as for the development of P Risk. Predictive risk, sensitivity, specificity, and likelihood ratios were calculated for various risk thresholds. Discrimination (Harrell’s C-index) and calibration were calculated. Results were compared between the development (CPRD GOLD) and validation (CPRD Aurum) datasets.ResultsPsychosis risk increased with values of the P Risk prognostic index. Incidence was highest in younger age groups and, in the main, higher in males. Harrell’s C was 0.79 (95% confidence interval = 0.78 to 0.79) in the validation dataset and 0.77 in the development dataset. A risk threshold of 1.0% gave sensitivity of 65.9% and specificity of 86.6%.ConclusionFurther testing is required, but P Risk has the potential to be used in primary care to detect future risk of psychosis.
The role of creative industries in the regional economy
Authors: Dmitriev D. V. , Shakurov A. A. 
Published: July 2024

Aim. To analyze the role of creative industries in regional economic development with a focus on St. Petersburg. Objectives. To study theoretical approaches to the study of creative industries; to examine the existing concepts of creative industries; to analyze various methods of assessing creative industries and their impact on the regions; to evaluate the contribution of creative industries to the economy of St. Petersburg, to study their dynamics and impact on the socio-economic development of the city.Methods. The authors used general scientific research methods such as deduction, analysis, synthesis and logical analysis. Classical research methods were applied to collect and process data on creative industries.Results. The study determined the role of creative industries in the socio-economic development of regions. The understanding of further prospects of creative industries was formed. The fac[1]tors influencing the economic growth of the region were analyzed. The degree of development of creative industries in St. Petersburg is assessed and their contribution to the structure of gross regional product (GRP) of the region due to the available technical, logistical, digital, cultural and leisure infrastructure is presented. It is concluded that it is the synergetic development of creative industries and related services sector (wholesale and retail trade, catering, tourism, logistics) that can lead to an increase in the quality of life of the population in a particular region, which is the stated goal of socio-economic development of the Russian Federation (RF). Conclusions. Creative industries play a significant role in the regional economy, which is due to their ability to generate creative product and stimulate economic activity. The results of the study showed that the key indicators for assessing the contribution of creative industries are the volume of creative product in the regional GRP, the share of employment in creative sectors and the proportion of creative organizations from the total number of enterprises in the region. The research contributes to the understanding of the mechanisms of creative industries’ influence on the socio-economic condition of a large Russian city, and provides a basis for the development of strategies to support and develop them
The use of big data analytics for human resource management in an organization
Authors: Averin K. L. , Kosheleva T. N. , Elkina O. S. 
Published: July 2024

Aim. To examine the application of big data in the field of human resource management and in organizational network analysis as a methodology to study the patterns of employee interaction within a formal organizational structure to improve the effectiveness of the human resource management system.Objectives. Theoretical analysis of existing methodologies for evaluating data on human resources of an organization to provide new opportunities for enterprise transformation; identification of hidden information on human resources and its use for internal staff development, retention and training; study of the possibilities of using organizational network analysis (ONA) to improve the effectiveness of human resource management.Methods. The authors used system and logical approaches, general scientific methods (analysis, synthesis), methods of comparative and economic analysis, analytical processing of information, graphical presentation of information.Results. The sources of big data are analyzed, the main indicators characterizing the state of personnel and allowing to forecast its development, dynamics of preservation of human resources in the organization, its training are allocated. The directions of using organizational network analysis in the personnel management system are proposed.Conclusions. The identified potential advantages of using organizational network analysis in the analytics of data on human resources in the organization will contribute to the reduction of staff turnover, optimization of staff structure, improvement of experience and knowledge sharing within the organization. This, according to the author’s position, will lead the enterprise to a positive economic effect and open new opportunities for its transformation
Anatomy of the shadow economy: Structure, dynamics and impact on macroeconomic stability in times of crises
Authors: Orobchenko D. M. 
Published: July 2024

Aim. To test hypotheses about the counter-cyclical nature of the shadow economy and its role as a “shock absorber of social costs”.Objectives. To study the dynamics and structure of the shadow economy and employment during the crises of 2008–2009, 2014–2016 and 2020–2022; to analyze the ability of the shadow economy to absorb unemployment and smooth the fall of the economy; to identify the components of the dynamics of the shadow economy during the crises.Methods. The article is based on the analysis of unobserved economy estimates, microdata of labor force surveys of Rosstat and the Russian Monitoring of Economic Situation and Health of the National Research University Higher School of Economics. The dynamics of shadow gross domestic product (GDP), employment without registration, tax evasion, and unregistered entrepreneurial activity is analyzed. Balance models of workers’ transitions between formal and shadow employment were developed.Results. The data showed that the shadow economy is highly flexible and can temporarily absorb part of the unemployed and gross output in crises. However, its impact on macroeconomic stability is limited. Shadow employment serves as a factor of instability for shadow workers. Three groups of actors that determine the dynamics of the shadow economy are identified: entrenched, outsiders and reactive. The bulk of the shadow economy is concentrated in small and medium-sized businesses.Conclusions. The shadow economy can both contribute to the maintenance of economic activity, employment, and act as a driver of crises. In the author’s opinion, it is necessary to improve state regulation to facilitate legalization of business and employment of the “rooted” segment of the shadow economy.
Interest Rate and Loan Default in Financial Institutions
Authors: Twesiime Monica , Tushabe Charlotte , Ninsiima Apophia , Tayebwa John , Eze Val Hyginus Udoka 
Published: July 2024

The study was carried out to examine the relationship between interest rate and loan default in Pride Microfinance in Ishaka-bushenyi municipality, Bushenyi District, a case of Pride Microfinance Ishaka branch. This study was guided by a mixed research design. Questionnaires and interviews were used as data collection instruments. A purposive sampling technique was used to sample 50 respondents. It was found out that there are high costs of getting business loans by borrowers because of a lack of collateral. The high interest rate level on the borrowers leads to loan default among business borrowers because the profit margin is very low. It was also found out that the possible solutions to reduce loan default were proper loan assessment, motivating good loan clients, reducing interest rates and proper loan monitoring. Also, financial institutions should tighten and follow the possible solutions to minimize high interest rates to favour business borrowers for greater productivity. It was recommended that though the availability and accessibility of loanable funds is very important, the Institution could consider lowering interest rates to enhance loan on time loan repayment. The Institutions could consider the establishment of micro insurance to protect customers. There should be increased monitoring of loan to ensure that funds are not diverted, loans are used for the intended purpose and repayment made on time. The study concluded that financial Institutions have to reduce the costs of getting business loans and interest rate which would encourage borrowers to obtain business loans to effectively operate their business activities and as well as repaying the loans
DATA JOURNALISM: ASPECTS OF STUDY
Authors: Скуридина С.А. , Беспалова А.О. 
Published: July 2024

Несмотря на то, что журналистика данных возникла в прошлом веке, это направление журналистики переживает эволюцию и становится востребованным инструментом СМИ в эпоху информационного взрыва. История возникновения и развития данного направления показывает, что современному журналисту, который работает преимущественно с аналитическими, новостными материалами или ведет журналистское расследование, в скором времени, потребуется научиться работать с большими объемами данных. Общество перенасыщено информацией, редко уже кто-то задается вопросом «где найти информацию?», сейчас у людей запрос на то, чтобы этот нескончаемый поток знаний кто-то структурировал и объяснил доступным языком – таким инструментом является журналистика данных.
Despite the fact that data journalism emerged in the last century, this area of ​​journalism is undergoing evolution and is becoming a popular media tool in the era of the information explosion. The history of the emergence and development of this area shows that a modern journalist who works primarily with analytical, news materials or conducts investigative journalism will soon need to learn how to work with large volumes of data. Society is oversaturated with information, rarely does anyone ask the question “where to find information?” Now people are asking for someone to structure and explain this endless flow of knowledge in an accessible language – such a tool is data journalism.
Reproducibility evaluation of kinesiological parameters spontaneous movements of infants in computer analysis
Authors: Kieszczyńska Katarzyna , Doroniewicz Iwona , Ledwoń Daniel , Bugdol Monika , Affanasowicz Alicja , Latos Dominika , Matyja Małgorzata , Myśliwiec Andrzej 
Published: July 2024

Purpose
Currently, there is a need to create objective and reproducible tool for assessing the quality of infant movements. It’s substantially important to detect movement disorders by infants as early as possible. The Osesec project decided to conduct research on the use of video image analysis of infants and attempts to determine parameters that in the future may be important for the early detection of developmental difficulties by children in a quick and objective way. The aim of the study was to assess the repeatability of parameters such as speed, acceleration, parameters describing the direction and trajectory of spontaneous movements by children between 6 and 15 weeks of age using a multimodal tool for movement assessment.
Methods
The study group consisted of 49 infants between 6 and 15 weeks of age. The study was conducted under home conditions. The diagnostic method of Prechtl was used for qualitative assessment. The quantitative assessment was based on the use of a multimodal tool. Numerical values for all movement parameters were determined, and the data obtained in the study were used for statistical analysis.
Results
The use of computer motion analysis enabled the objective assessment of observations, and also enabled the comparison of numerical motion values and showed the repeatability of parameter readings.
Conclusions
The interpretability and accuracy of the presented parameters were proved. All parameters estimation is fully automated. Further research and testing requires a larger study group to create an objective diagnostic device for infants.