bluuebunny/crossref_metadata_2025_split huggingface dataset:
Advancing labor legislation in alignment with European integration standards
Authors: Kotov Vadym , Hornostai Oryslava , Leontieva Lina , Manhora Volodymir , Alimenko Oleksandr 
Published: July 2024

The labor legislation of Ukraine is the oldest among all branches of law, and, therefore, requires immediate improvement. The alignment of domestic labor legislation with European standards is one of the conditions for Ukraine’s accession to the EU. In this regard, there is a chance for successful reform of this sector in domestic labor practice, which will create a favorable working environment and will be able to protect employees’ rights and interests. Enhancing the legal framework in the field of labor legislation will strengthen the desire of European partners to attract investment in various economic sectors, thereby contributing to the growth of new jobs and economic development. Taking this into account, studying the issue of improving labor legislation in accordance with European principles is extremely relevant and important for our country since this process will improve citizens’ lives and make them part of a large European family. The purpose of the academic paper is to reveal the features of improving the labor legislation in accordance with the European integration principles. When studying the issue of improving labor legislation in accordance with European integration principles, it should be noted that this process will contribute to strengthening the legal protection of employees in the context of fair wages, social guarantees, and safety in the workplace. This process will help ensure fair labor conditions, social stability and reduce social-economic problems in society. Improvement of labor legislation in accordance with European integration principles is a key aspect of the strategy of modern Ukraine. Deepening European integration cooperation and the desire to become integrated with the EU require reforms in the field of labor legislation, which is currently far from European standards. Outdated and inefficient regulations should be canceled. They should be replaced by effective and expedient legal norms in the field of labor law that would ensure the protection of all subjects of labor relations, and promote the development of economic and social policy in the state.
To GDP and beyond: The past and future history of the world’s most powerful statistical indicator
Authors: MacFeely Steve , van de Ven Peter , Peltola Anu 
Published: July 2024

Gross domestic product (GDP) is unquestionably one of the most influential statistical indicators in history. It is more than a statistic – it not only measures the global economy but defines it. But from the outset there have been criticisms of GDP. Today there are a growing number of commentators arguing that GDP has outlived its usefulness. Their criticisms can be broadly categorized into three classes. The first are measurement problems within the existing framework arising from changes in the economy and society – most notably globalization and digitalization. The second set of criticisms deal with the limits of the SNA framework itself and are sometimes described by the catchall “Beyond GDP” and center on questions as to whether the SNA can or should measure well-being and sustainability. The third is that the construction of GDP promotes a ‘growth-at-all-costs’ ideology which works against environmental and social reforms. This paper summarizes the origins of the SNA and GDP and some of the crucial events and thinking that helped shape its design. The most important criticisms and challenges that will shape the future development of the SNA are also outlined, in particular: globalization, digitalization, well-being and sustainability. As both well-being and sustainability go well beyond traditional measurements of the economy, the paper discusses whether it is possible to address at least some aspects of these issues within the SNA, either in the ‘core’ sequence of economic accounts, or through a broadened set of accounts. The paper concludes with an overview of the 2025 SNA update and new work beginning at the UN to encourage member states to move beyond GDP.
Analysis of risk factors and construction of a predictive model for macrosomia in deliveries with gestational diabetes
Authors: Dou Fengjiao , Tian Qingxiu , Zhang Ran 
Published: July 2024

BACKGROUND: Gestational diabetes, a frequent pregnancy complication marked by elevated maternal blood glucose, can cause serious adverse effects for both mother and fetus, including increased amniotic fluid and risks of fetal asphyxia, hypoxia, and premature birth. OBJECTIVE: To construct a predictive model to analyze the risk factors for macrosomia in deliveries with gestational diabetes. METHODS: From January 2021 to February 2023, 362 pregnant women with gestational diabetes were selected for the study. They were followed up until delivery. Based on newborn birth weight, the participants were divided into the macrosomia group (birth weight ⩾ 4000 g) and the non-macrosomia group (birth weight < 4000 g). The data of the two groups of pregnant women were compared. ROC curves were plotted to analyze the predictive value of multiple factors for the delivery of macrosomic infants among pregnant women with gestational diabetes. A logistic regression model was constructed to identify the risk factors for delivering macrosomic infants and the model was tested. RESULTS: A total of 362 pregnant women with gestational diabetes were included, of which 58 (16.02%) had babies with macrosomia. The macrosomia group exhibited higher metrics in several areas compared to those without: pre-pregnancy BMI, fasting glucose, 1 h and 2 h OGTT sugar levels, weight gain during pregnancy, and levels of triglycerides, LDL-C, and HDL-C, all with significant differences (P< 0.05). ROC analysis revealed predictive value for macrosomia with AUCs of 0.761 (pre-pregnancy BMI), 0.710 (fasting glucose), 0.671 (1 h OGTT), 0.634 (2 h OGTT), 0.850 (weight gain), 0.837 (triglycerides), 0.742 (LDL-C), and 0.776 (HDL-C), indicating statistical significance (P< 0.05). Logistic regression identified high pre-pregnancy BMI, fasting glucose, weight gain, triglycerides, and LDL-C levels as independent risk factors for macrosomia, with odds ratios of 2.448, 2.730, 1.884, 16.919, and 5.667, respectively, and all were statistically significant (P< 0.05). The model’s AUC of 0.980 (P< 0.05) attests to its reliability and stability. CONCLUSION: The delivery of macrosomic infants in gestational diabetes may be related to factors such as body mass index before pregnancy, blood-glucose levels, gain weight during pregnancy, and lipid levels. Clinical interventions targeting these factors should be implemented to reduce the incidence of macrosomia.
Exploring Millennial Consumers’ Behaviour in Social Commerce
Authors: Ramnarain Yavisha , Govender Krishna K. , Soni Sanjay 
Published: July 2024

This study aims to examine how ratings, forums, communities, reviews, recommendations, and referrals influence consumers who participate in social commerce using Facebook. The target population for this quantitative online study was young adults between the ages of 25 to 34 who are referred to as Millennials and comprise the largest group of users on Facebook. Convenience sampling, namely snowball sampling was used to target the participants. It was ascertained that social commerce constructs are associated with trust which leads to the consumers purchasing decisions. The implication for social commerce is that the information shared over social commerce constructs in cohesive networks is more likely to influence the consumers’ decisions than in less cohesive networks. This, therefore, justifies recommending that businesses should monitor the quality and content of the engagements around their brands on social media since information sharing in social commerce influences the decisions of consumers.
Optimizing Remote Communication: Data-Driven Strategies for Workplace Connectivity at Laguna University
Authors: Elomina Marie Joy Q. , Domingo Olga J. , Pabalan Raymond Wally M. , Guintu Sofia Marie H. 
Published: July 2024

The study analyzed remote communication practices of faculty members to propose strategies for workplace connectivity at Laguna University. The following objectives were: (1) Measure the frequency and type of communication channels utilized by Laguna University faculty since adopting remote work models. (2) Determine the relationship between the frequency of communication channels and employee satisfaction with remote work communication practices of faculty members at Laguna University. (3) Evaluate perceived communication patterns in the current practices of faculty members at Laguna University. (4) Propose strategies to improve communication effectiveness and employee satisfaction in the remote work environment at Laguna University. The study employed a quantitative method using a non-probability sampling technique with 34 respondents. Descriptive statistics like frequency distribution table, mean, median, mode, standard deviation, and statistical tools such as the Spearman Rank Correlation and Wilcoxon Signed Rank Test were utilized. A survey questionnaire was used to collect the data available through Google Forms. The most common channel of communication by the faculty in remote work before the pandemic was the use of instant messaging (IM). Email use, video conferencing, and instant messaging were used significantly more during and after the pandemic than before. Nonetheless, there was no significant evidence to suggest a difference in the frequency of conducting in-person meetings. Similarly, the most common media channel of the faculty before the pandemic was instant messaging. Top on the list of purposes was sharing documents and information through emails, followed by complex discussions and brainstorming sessions through in-person meetings. There was a weak positive monotonic correlation between the use of communication channels and employee satisfaction of Laguna University faculty. Most respondents said they somewhat agreed with the statements regarding communication patterns, especially regarding timeliness, clarity, and accessibility; however, they strongly agreed that they felt confident that they understood the information being communicated by colleagues remotely. Strategies were proposed to improve communication effectiveness and employee satisfaction in the remote work environment at Laguna University.
Keywords: Remote Work, Communication Channels, Remote Communication, Communication Patterns, Spearman Rank Correlation, Wilcoxon- Signed Rank Test

Received Date: April 14, 2024Revised Date: May 29, 2024Accepted Date: June 23, 2024
EVALUASI DAN PENGEMBANGAN KEBUTUHAN FASILITAS DI PELABUHAN SAMPIT UNTUK MENDUKUNG KEMAJUAN WILAYAH KABUPATEN KOTAWARINGIN TIMUR
Authors: Veronika Friska , Basuki Imam 
Published: July 2024

Pelabuhan Sampit merupakan pelabuhan penting yang menjadi pintu gerbang utama memasuki wilayah Provinsi Kalimantan Tengah dalam keluar masuknya penumpang dan barang ke atau dari Pulau Jawa, selalu mengalami peningkatan arus lalu lintas tiap tahunnya yang tidak di ikuti dengan evaluasi serta pengembangan fasilitas kebutuhan pelabuhan, berpotensi terjadi antriannya kapal yang lama, proses bongkar muat lambat dan penumpang tidak mendapat pelayanan fasilitas yang maksimal. Maka perlu dilakukan identifikasi kinerja operasional pelayanan, faktor-faktor mempengaruhi dan kebutuhan fasilitas di Pelabuhan Sampit. Hasil menunjukan berdasarkan peraturan Dirjen Hubla kinerja operasional pelabuhan secara umum baik, hanya ada 3 (tiga) indikator yang kurang baik yaitu approach time (AT), effective time/berthing time (ET/BT), dan ton/ship/hour (T/S/H). Hasil faktor-faktor yang memepengaruhi arus lalu lintas di Pelabuhan Sampit menujukan model terbaik arus muat adalah Y1 = 29,953 + 0,016 dimana PDRB pertanian (X1), arus bongkar adalah Y2 = 26,255 + 0,053 X2 dimana PDRB industri (X2), arus penumpang adalah Y3 = 101,514 + 0,068 X2 dimana pendapatan perkapita (X2) dan arus kapal adalah Y4 = 24,730 + 0,41 X3 dimana pendapatan perkapita (X3). Hasil peramalan arus muat, arus bongkar, arus penumpang dan arus kapal dari kebutuhan fasilitas pelabuhan menunjukan pada Tahun 2032 fasilitas lapangan penumpukan sebesar 870.567 m2 dan terminal penumpang sebesar 86,67 m2 masih memenuhi sedangkan fasilitas panjang dermaga perlu dilakukan penambahan sebesar 386 m. Kata Kunci : Evaluasi kinerja operasional pelayanan, regresi linier dan peramalan (forecasting
Alpha-synuclein shapes monocyte and macrophage cell biology and functions by bridging alterations of autophagy and inflammatory pathways
Authors: Limanaqi Fiona , Zecchini Silvia , Ogno Pasquale , Artusa Valentina , Fenizia Claudio , Saulle Irma , Vanetti Claudia , Garziano Micaela , Strizzi Sergio , Trabattoni Daria , Clerici Mario , Biasin Mara 
Published: July 2024

Introduction: Abnormal spreading of alpha-synuclein (αS), a hallmark of Parkinson’s disease, is known to promote peripheral inflammation, which occurs in part via functional alterations in monocytes/macrophages. However, underlying intracellular mechanisms remain unclear.Methods: Herein we investigate the subcellular, molecular, and functional effects of excess αS in human THP-1 monocytic cell line, THP-1-derived macrophages, and at least preliminarily, in primary monocyte-derived macrophages (MDMs). In cells cultured w/wo recombinant αS (1 μM) for 4 h and 24 h, by Confocal microscopy, Western Blot, RT-qPCR, Elisa, and Flow Cytometry we assessed: i) αS internalization; ii) cytokine/chemokine expression/secretion, and C–C motif chemokine receptor 2 (CCR2) levels; iii) autophagy (LC3II/I, LAMP1/LysoTracker, p62, pS6/total S6); and iv) lipid droplets (LDs) accumulation, and cholesterol pathway gene expression. Transwell migration assay was employed to measure THP-1 cell migration/chemotaxis, while FITC-IgG-bead assay was used to analyze phagocytic capacity, and the fate of phagocytosed cargo in THP-1-derived macrophages.Results: Extracellular αS was internalized by THP-1 cells, THP-1-derived macrophages, and MDMs. In THP1 cells, αS induced a general pro-inflammatory profile and conditioned media from αS-exposed THP-1 cells potently attracted unstimulated cells. However, CCL2 secretion peaked at 4 h αS, consistent with early internalization of its receptor CCR2, while this was blunted at 24 h αS exposure, when CCR2 recycled back to the plasma membrane. Again, 4 h αS-exposed THP-1 cells showed increased spontaneous migration, while 24 h αS-exposed cells showed reduced chemotaxis. This occurred in the absence of cell toxicity and was associated with upregulation of autophagy/lysosomal markers, suggesting a pro-survival/tolerance mechanism against stress-related inflammation. Instead, in THP-1-derived macrophages, αS time-dependently potentiated the intracellular accumulation, and release of pro-inflammatory mediators. This was accompanied by mild toxicity, reduced autophagy-lysosomal markers, defective LDs formation, as well as impaired phagocytosis, and the appearance of stagnant lysosomes engulfed with phagocytosed cargo, suggesting a status of macrophage exhaustion reminiscent of hypophagia.Discussion: In summary, despite an apparently similar pro-inflammatory phenotype, monocytes and macrophages respond differently to intracellular αS accumulation in terms of cell survival, metabolism, and functions. Our results suggest that in periphery, αS exerts cell- and context-specific biological effects bridging alterations of autophagy, lipid dynamics, and inflammatory pathways.
Performance of federated learning-based models in the Dutch TAVI population was comparable to central strategies and outperformed local strategies
Authors: Yordanov Tsvetan R. , Ravelli Anita C. J. , Amiri Saba , Vis Marije , Houterman Saskia , Van der Voort Sebastian R. , Abu-Hanna Ameen 
Published: July 2024

BackgroundFederated learning (FL) is a technique for learning prediction models without sharing records between hospitals. Compared to centralized training approaches, the adoption of FL could negatively impact model performance.AimThis study aimed to evaluate four types of multicenter model development strategies for predicting 30-day mortality for patients undergoing transcatheter aortic valve implantation (TAVI): (1) central, learning one model from a centralized dataset of all hospitals; (2) local, learning one model per hospital; (3) federated averaging (FedAvg), averaging of local model coefficients; and (4) ensemble, aggregating local model predictions.MethodsData from all 16 Dutch TAVI hospitals from 2013 to 2021 in the Netherlands Heart Registration (NHR) were used. All approaches were internally validated. For the central and federated approaches, external geographic validation was also performed. Predictive performance in terms of discrimination [the area under the ROC curve (AUC-ROC, hereafter referred to as AUC)] and calibration (intercept and slope, and calibration graph) was measured.ResultsThe dataset comprised 16,661 TAVI records with a 30-day mortality rate of 3.4%. In internal validation the AUCs of central, local, FedAvg, and ensemble models were 0.68, 0.65, 0.67, and 0.67, respectively. The central and local models were miscalibrated by slope, while the FedAvg and ensemble models were miscalibrated by intercept. During external geographic validation, central, FedAvg, and ensemble all achieved a mean AUC of 0.68. Miscalibration was observed for the central, FedAvg, and ensemble models in 44%, 44%, and 38% of the hospitals, respectively.ConclusionCompared to centralized training approaches, FL techniques such as FedAvg and ensemble demonstrated comparable AUC and calibration. The use of FL techniques should be considered a viable option for clinical prediction model development.
Mapping the landscape and exploring trends in macrophage-related research within non-small cell lung cancer: a comprehensive bibliometric analysis
Authors: Zhou Yinxue , Wu Tingyu , Sun Jiangxing , Bi Huanhuan , Xiao Yuting , Wang Hongmei 
Published: July 2024

BackgroundMacrophages play a pivotal role in the research landscape of non-small cell lung cancer (NSCLC), contributing significantly to understanding tumor progression, treatment resistance, and immunotherapy efficacy. In this study, we utilized bibliometric techniques to analyze shifts in research hotspots and trends within the field, while also forecasting future research directions. These insights aim to offer guidance for both clinical therapeutic interventions and foundational scientific inquiries.MethodsAll publications were released between 1993 and 2023 and focus on research pertaining to macrophages in the field of NSCLC. The articles were identified from the Web of Science Core Collection and analyzed using VOSviewer 1.6.19, CiteSpace 6.2.R2, and Scimago Graphica 1.0.35.ResultA total of 361 articles authored by 3,072 researchers from 48 countries were included in the analysis. TAMs have gained increasing attention for their role in NSCLC development and as potential therapeutic targets. Modulating TAM behavior may offer avenues to suppress tumor growth and drug resistance, improving patient outcomes. International collaboration, particularly between China and the United States, accelerates progress in NSCLC research, benefiting patients worldwide. The research hotspot revolves around understanding the role of macrophages in immunotherapy, focusing on their contribution to tumor progression, therapeutic resistance, and potential as therapeutic targets in NSCLC.ConclusionsThe therapeutic significance of macrophages in the field of NSCLC is gaining increasing attention and recognition, highlighting their potential as key players in the development of novel treatment strategies. Future research will focus on understanding TAM molecular mechanisms, interactions with immune cells, and exploring novel therapies, with the aim of improving NSCLC treatment outcomes.
Medical education during the coronavirus disease 2019 pandemic: an umbrella review
Authors: Nejadghaderi Seyed Aria , Khoshgoftar Zohreh , Fazlollahi Asra , Nasiri Mohammad Javad 
Published: July 2024

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic affected many aspects of lifestyle and medical education during the recent years. We aimed to determine the impacts of COVID-19 pandemic on medical education to provide an overview of systematic reviews on it.MethodsWe searched PubMed, Scopus, Web of Science, Cochrane library, Google Scholar, and medRxiv, with the following keywords: “SARS-CoV-2,” “COVID-19,” “Medical Education,” “E-learning,” “Distance Education,” “Online Learning,” “Virtual Education,” “systematic review,” and “meta-analysis,” up to 15 April 2023. Studies were included if they were systematic reviews assessing the impacts of the COVID-19 pandemic on medical sciences students. We used A MeaSurement Tool to Assess systematic Reviews 2 (AMSTAR-2) checklist for quality assessment.ResultsA total of 28 systematic reviews were included. The eligible reviews included between five and 64 primary studies, ranging from 897 to 139,381 participants. Technology-enhanced learning and simulation-based learning were the most frequently used strategies. Virtual teaching has several drawbacks like technical difficulties, confidentiality problems, lower student involvement, connection problems, and digital fatigue. The overall satisfaction rate for online learning was above 50%. Also, favorable opinions about perception, acceptability, motivation, and engagement were reported. The quality of 27 studies were critically low and one was low.ConclusionThere were reduced clinical exposure and satisfaction for medical students during the pandemic. Further high-quality systematic reviews are required.
Development and validation of a diagnostic model for cerebral small vessel disease among rural older adults in China
Authors: Li Chunyan , Wang Jiafeng , Han Xiaodong , Li Yuanjing , Liu Keke , Zhao Mingqing , Gong Tao , Hou Tingting , Wang Yongxiang , Cong Lin , Song Lin , Du Yifeng 
Published: July 2024

ObjectivesCerebral small vessel disease (CSVD) visible on MRI can be asymptomatic. We sought to develop and validate a model for detecting CSVD in rural older adults.MethodsThis study included 1,192 participants in the MRI sub-study within the Multidomain Interventions to Delay Dementia and Disability in Rural China. Total sample was randomly divided into training set and validation set. MRI markers of CSVD were assessed following the international criteria, and total CSVD burden was assessed on a scale from 0 to 4. Logistic regression analyses were used to screen risk factors and develop the diagnostic model. A nomogram was used to visualize the model. Model performance was assessed using the area under the receiver-operating characteristic curve (AUC), calibration plot, and decision curve analysis.ResultsThe model included age, high blood pressure, white blood cell count, neutrophil-to-lymphocyte ratio (NLR), and history of cerebral infarction. The AUC was 0.71 (95% CI, 0.67–0.76) in the training set and 0.69 (95% CI, 0.63–0.76) in the validation set. The model showed high coherence between predicted and observed probabilities in both the training and validation sets. The model had higher net benefits than the strategy assuming all participants either at high risk or low risk of CSVD for probability thresholds ranging 50–90% in the training set, and 65–98% in the validation set.ConclusionA model that integrates routine clinical factors could detect CSVD in older adults, with good discrimination and calibration. The model has implication for clinical decision-making.