bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gender differences in the quantitative and qualitative assessment of chronic pain among older people
Authors: Puto Grażyna , Repka Iwona , Gniadek Agnieszka 
Published: June 2024

BackgroundPain, regardless of its causes, is a subjective and multidimensional experience that consists of sensory, emotional and cognitive factors that cannot be adequately captured by a single number on a pain scale. The aim of the study was to understand gender differences in the assessment of quantitative and qualitative chronic pain among older people.MethodsThe study used a questionnaire that included questions about demographic and social characteristics as well as the following scales: Abbreviated Mental Score (AMTS), Personal Activities of Daily Living (PADL) by Katz, Instrumental Activities of Daily Living (IADL) by Lawton, Geriatric Depression Scale (GDS-15), McGill Pain Questionnaire (MPQ).ResultsThe pain rating index based on rank values of adjectives was higher among women than men (18.36 ± 7.81 vs. 17.17 ± 9.69, p = 0.04). The analysis of the frequency of selection of individual adjectives describing the sensory aspects of pain showed that men described the pain as “stabbing” more often than women (26.1% vs. 14.3%, p &lt; 0.05). Women chose adjectives from the emotional category more often than men (59.8% vs. 75.4%, p &lt; 0.05), describing the pain as “disgusting” (8.9% vs. 1.4%, p &lt; 0.05), “unbearable” (19.6 vs. 4.3, p &lt; 0.05). In the subjective category, there was a difference between women and men in terms of describing pain as “terrible” (23.2% vs. 7.2%, p &lt; 0.05) and as “unpleasant” (11.6% vs. 23.3%, p &lt; 0 0.05).ConclusionWhen referring to pain, women tend to employ more detailed and factual language, indicative of heightened emotional sensitivity. Men tend to use fewer words and focus on the sensory aspects of pain. Subjective aspects of pain were demonstrated by both women and men.
The diagnostic agreement of sarcopenic obesity with different definitions in Chinese community-dwelling middle-aged and older adults
Authors: Hu Fengjuan , Zhang Gongchang , Xu Zhigang , Zuo Zhiliang , Huang Ning , Ge Meiling , Liu Xiaolei , Dong Birong 
Published: June 2024

BackgroundIn 2022, the European Society for Clinical Nutrition and Metabolism (ESPEN) and the European Association for the Study of Obesity (EASO) launched a consensus on the diagnostic methods for sarcopenic obesity (SO). The study aimed to identify the prevalence and diagnostic agreement of SO using different diagnostic methods in a cohort of subjects from West China aged at least 50 years old.MethodsA large multi-ethnic sample of 4,155 participants from the West China Health and Aging Trend (WCHAT) study was analyzed. SO was defined according to the newly published consensus of the ESPEN/EASO. Furthermore, SO was diagnosed as a combination of sarcopenia and obesity. The criteria established by the Asian Working Group for Sarcopenia 2019 (AWGS2019) were used to define sarcopenia. Obesity was defined by four widely used indicators: percent of body fat (PBF), visceral fat area (VFA), waist circumference (WC), and body mass index (BMI). Cohen’s kappa was used to analyze the diagnostic agreement of the above five diagnostic methods.ResultsA total of 4,155 participants were part of the study, including 1,499 men (63.76 ± 8.23 years) and 2,656 women (61.61 ± 8.20 years). The prevalence of SO was 0.63–7.22% with different diagnostic methods. The diagnosis agreement of five diagnostic methods was poor-to-good (κ: 0.06–0.67). The consensus by the ESPEN/EASO had the poorest agreement with other methods (κ: 0.06–0.32). AWGS+VFA had the best agreement with AWGS+WC (κ = 0.67), and consensus by the ESPEN/EASO had the best agreement with AWGS+ PBF (κ = 0.32).ConclusionThe prevalence and diagnostic agreement of SO varies considerably between different diagnostic methods. AWGS+WC has the highest diagnostic rate in the diagnosis of SO, whereas AWGS+BMI has the lowest. AWGS+VFA has a relatively good diagnostic agreement with other diagnostic methods, while the consensus of the ESPEN/EASO has a poor diagnostic agreement. AWGS+PBF may be suitable for the alternative diagnosis of the 2022 ESPEN/EASO.
A systematic review and meta-analysis of the effectiveness of social support on turnover intention in clinical nurses
Authors: Chen Yan , Zhou Xiang , Bai Xue , Liu Beibei , Chen Fengzhi , Chang Lixia , Liu Hongli 
Published: June 2024

BackgroundNurse turnover has become a salient issue in healthcare system worldwide and seriously compromises patient outcomes. Social support is considered an effective contributor to alleviate nurse turnover intention (TI). However, the degree of correlation between social support and nurse TI remains elusive.AimsThis study aims to evaluate the strength of the effectiveness of social support on TI among nurses as well as its potential moderators.DesignThis systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses.MethodsTo obtained qualified studies, two researchers searched Embase, PubMed, Web of science, CINAHL, CNKI, WanFang, and Chinese Medical Journal Full Text Database from inception to January 6, 2024. Meta-analysis, publication bias, and sensitivity analysis were carried out on the included studies using CMA 3.0 software, and the moderating effect was verified through meta-analysis of variance (ANOVA).ResultsA total of 38 studies were obtained, involving 63,989 clinical nurses. The comprehensive effect size of the random effect model showed a significant medium negative correlation between social support and TI among nurses (p &lt; 0.001). The sample size and TI measurement tools significantly moderated the correlation between social support and TI (p &lt; 0.050). However, nurse department, gender, data collection time, and social support measurement tools did not moderate the correlation between the two variables.ConclusionSocial support is negatively associated with TI in nurses. Nursing administrators and the medical community should fully recognize the importance of social support for nurses and take corresponding measures to enhance it, thereby reducing TI and ensuring the stability of the nursing team.
Influence of semolina characteristics and pasta-making process on the physicochemical, structural, and sensorial properties of commercial durum wheat spaghetti
Authors: Carpentieri Serena , Larrea-Wachtendorff Dominique , Ferrari Giovanna 
Published: June 2024

Introduction: This study aimed to investigate the effects of semolina characteristics and pasta-making processing on the quality of durum wheat spaghetti (A, B, and C) using a reverse engineering approach.Methods: Proximate composition, color, granulometry, pasting and thermal properties were determined to characterize semolina, while pasting, thermal and cooking properties, microstructure and sensory profile were evaluated for spaghetti.Results and Discussion: The sensory profile of sample A, in terms of higher yellowness and hardness, lower stickiness, agreed with the higher transition temperatures (60.07–74.6 °C) and enthalpy of amylose-lipid complexes, degree of starch gelatinization, pasting viscosities and compression force, lower water absorption, cooking losses (4.78 g/100 g), and adhesiveness (0.39 N/mm). Moreover, the microstructural analysis showed a network with denser areas, and starch granules strongly embedded in the gluten matrix for sample A with respect to samples B and C. These results might be ascribed to the semolina characteristics. Sample A was richer in starch (71.4%), lipid (1.6%), and protein (14.0%), and the higher drying temperatures affected protein crosslinking, starch organization, cooking properties, and appearance of spaghetti. The approach used in this study could be suitable in gathering the different phenomena occurring in pasta production process which concur to give spaghetti its distinctive quality.
SGLT2 Inhibitors Correct Fluid Overload in Adult Kidney Transplant Recipients—A Prospective Observational Study
Authors: Schork Anja , Eberbach Marie-Luise , Artunc Ferruh , Bohnert Bernhard N. , Eisinger Felix , Heister David J. , Vosseler Dorothea , Nadalin Silvio , Birkenfeld Andreas L. , Heyne Nils , Guthoff Martina 
Published: June 2024

In this longitudinal observational study, we measured urinary glucose concentration, body composition and volume status (bioimpedance spectroscopy) and plasma renin and aldosterone concentrations in n = 22 kidney transplant recipients (KTRs) initiating on SGLT2I at baseline (BL), and after 1 week and 1, 3, and 6 months. Estimated glomerular filtration rate (eGFR) decreased by −2 mL/min/1.73 m2 (IQR −10–0) after 1 week and remained stable thereafter. Urinary glucose concentration was 10 (3–24) g/g creatinine after 1 week and correlated with eGFR (r2 = 0.273; p = 0.057). SGLT2I did not affect HbA1c, fasting blood glucose, body weight, fat or lean mass. SGLT2I decreased fluid overload dependent on baseline overhydration (OH, r2 = 0.54, p = 0.0003) without occurrence of dehydration. Plasma aldosterone increased at day 7, while plasma renin did not change significantly. In conclusion, SGLT2I corrected fluid overload in patients with elevated overhydration at baseline, while in euvolemic KTRs fluid status remained stable without reduction of body water below the reference range, thus promoting the safety of SGLT2I therapy in patients following kidney transplantation. Glucosuria, together with effects of SGLT2I on blood glucose control and body weight, is attenuated in KTRs dependent on eGFR.
Learning the Meta Feature Transformer for Unsupervised Person Re-Identification
Authors: Li Qing , Yan Chuan , Peng Xiaojiang 
Published: June 2024

Although unsupervised person re-identification (Re-ID) has drawn increasing research attention, it still faces the challenge of learning discriminative features in the absence of pairwise labels across disjoint camera views. To tackle the issue of label scarcity, researchers have delved into clustering and multilabel learning using memory dictionaries. Although effective in improving unsupervised Re-ID performance, these methods require substantial computational resources and introduce additional training complexity. To address this issue, we propose a conceptually simple yet effective and learnable module effective block, named the meta feature transformer (MFT). MFT is a streamlined, lightweight network architecture that operates without the need for complex networks or feature memory bank storage. It primarily focuses on learning interactions between sample features within small groups using a transformer mechanism in each mini-batch. It then generates a new sample feature for each group through a weighted sum. The main benefits of MFT arise from two aspects: (1) it allows for the use of numerous new samples for training, which significantly expands the feature space and enhances the network’s generalization capabilities; (2) the trainable attention weights highlight the importance of samples, enabling the network to focus on more useful or distinguishable samples. We validate our method on two popular large-scale Re-ID benchmarks, where extensive evaluations show that our MFT outperforms previous methods and significantly improves Re-ID performances.
Caracterización del clima organizacional y orientaciones de gestión estratégica para su intervención en pymes latinoamericanas
Authors: Verenzuela Barroeta Daniel Antonio , Araque Manrique Mariela Concepción 
Published: June 2024

Los objetivos de esta investigación fueron identificar las características bibliométricas de la producción científica sobre clima organizacional en pymes latinoamericanas durante 2013-2023; caracterizar las dimensiones constitutivas del fenómeno; y establecer orientaciones de gestión estratégica para su intervención. Con diseño descriptivo, las propiedades bibliométricas y la revisión sistemática se fundamentaron en el protocolo PRISMA-P incluyendo 60 artículos de revistas académico-científicas de acceso abierto en Google Scholar. El 98,33% de los artículos fueron originales publicados en 48 revistas registradas en 18,41 indizadores, en promedio. Venezuela ha publicado 23% de las producciones y durante el 2021 se produjo la mayor cantidad de publicaciones. El 26,11% de los investigadores fueron de procedencia colombiana. El clima organizacional en pymes latinoamericanas ha sido negativo, basado en malas prácticas de gestión, insatisfacción laboral, ausentismo, rotación, bajo compromiso y desempeño laboral. Los ambientes laborales están cargados de emociones negativas por las condiciones económicas actuales de la región. La orientación estratégica de intervención del fenómeno comienza con el sistema de gestión basado en una filosofía humanista, motivacional y comprometida, para implementar una estrategia racional, social, psicológica y política que genere actitudes, conductas y creencias que auspicie el buen desempeño y transforme el sistema perceptivo positivamente.
Model Sistem Informasi Simpan Pinjam pada Bank Perkreditan Rakyat
Authors: Rahmi Rustati , Fathimah Siti , Mirza Muhammad 
Published: June 2024

<p><em>Rural Banks are banks that carry out business activities conventionally or based on sharia principles, which in their activities do not provide services in payment traffic. To convey information requires speed and accuracy to arrive at the user or recipient of information, speed and accuracy make information more valuable and reliable. The level of speed of information depends on the technology used. Lack of information and people still coming directly to the place resulted in the process of applying for a money loan which should only take a short time, but with an error in the form or file it makes the service take longer because of the file requirements from people who want to apply for a loan. the money is incomplete, so that people who want to apply for loans have to return home to complete the files that are still left behind or fill out the registration form where there is an input error in the form data. Based on the results of the Savings and Loans Information System for the South Tapin Rural Bank Mandiri Sejahtera, it can later be used at the office of the South Tapin Rural Bank Mandiri Sejahtera in order to provide the information contained therein so that the general public can view the information without having to go to the office directly. </em></p><p><strong><em>Keywords</em></strong><em>: </em><em>Information Systems, Rural Banks, Submission of Loans</em><em></em></p><p> </p><p align="center"><strong>Abstrak</strong><strong></strong></p><p>Bank Perkreditan Rakyat adalah Bank yang melaksanakan kegiatan usaha secara konvensional atau berdasarkan prinsip syariah, yang dalam kegiatannya tidak memberikan jasa dalam lalu lintas pembayaran. Untuk menyampaikan sebuah informasi diperlukan kecepatan dan keakuratan untuk sampai kepada pengguna atau penerima informasi, kecepatan dan keakuratan menjadikan sebuah informasi menjadi lebih bernilai dan terpercaya tingkat kecepatan sebuah informasi bergantung kepada teknologi yang digunakan. Kurangnya informasi menyebabkan masyarakat datang langsung ke tempat mengakibatkan dalam proses pengajuan pinjaman uang yang seharusnya hanya memerlukan waktu yang sebentar, namun dengan adanya kesalahan formulir ataupun berkas tersebut membuat pelayanan menjadi lebih lama di karenakan berkas persyaratan dari masyarakat yang ingin mengajukan pinjaman uang kurang lengkap, sehingga membuat masyarakat yang ingin mengajukan pinjaman harus kembali pulang untuk melengkapi berkas yang masih tertinggal atau mengisi ulang formulir pendafataran yang terjadi kesalahan penginputan pada data formulir. Berdasarkan hasil Sistem Informasi Simpan Pinjam Bank Perkreditan Rakyat Tapin Selatan Mandiri Sejahtera nantinya dapat dipergunakan di kantor Bank Perkreditan Rakyat Tapin Selatan Mandiri Sejahtera agar dapat memberikan informasi yang terdapat di sehingga masyarakat umum dapat melihat informasi tersebut tanpa harus mendatangi kantor secara langsung.</p><p> </p>
Implementasi Framework Objective and Key Results (OKR) pada Startup TimbangIN
Authors: Meikal Rochmat , Artana I Made , Paramitha A.A Istri Ita 
Published: June 2024

<p><em>TimbangIN is a starup that operates in the field of buying and selling recycled waste such as cardboard, paper, iron, aluminium, copper and more else. TimbangIN still running according to its bussines model, but does not yet have a focused goal to achieve so TimbangIN has not been able to develop well. Implemented OKR for 6 months with the specified objective, namely Managing TimbangIN so that it can survive in the sense that income is greater than expenses and there are 2 key results with income targets and the amount of waste collected, increasing targets is carried out in OKR literacy. The results obtained from implementing the OKR framework were that in the first 3 month it got a value of 0,9, which means achieved the goal and in the 3 months of literation got a value of 1.0 which means the goals have been achieved maximally.</em></p><p><strong><em>Keywords</em></strong><strong><em>:</em></strong><em> Framework; Objective and Key Results; Startup </em></p><p align="center"><em> </em></p><p align="center"><strong>Abstrak</strong></p><p>TimbangIN merupakan sebuah <em>startup</em> yang bergerak di bidang jual-beli sampah daur ulang seperti kardus, kertas, besi, aluminium, tembaga dan lain sebagainya. TimbangIN masih berjalan sesuai model bisnisnya, namun belum memiliki fokus tujuan yang ingin dicapai sehingga TimbangIN belum bisa berkembang dengan baik. Diterapkan <em>framework Objective and Key Results</em> (OKR) selama 6 bulan dengan <em>Objective</em> yang ditentukan yaitu Mengelola TimbangIN agar dapat tetap <em>survive</em> dalam artian pendapatan lebih besar dari pengeluaran biaya dan terdapat 2 <em>key results</em> dengan target pendapatan serta jumlah sampah yang terkumpul, peningkatan target dilakukan pada iterasi OKR. Hasil yang diperoleh dari pengimplementasian <em>framework</em> OKR yaitu pada 3 bulan pertama memperoleh nilai 0,9 yang berarti telah mencapai tujuan dan pada 3 bulan iterasi memperoleh nilai 1,0 yang berarti <em>goals</em> telah tercapai dengan maksimal.</p><p> </p><p> </p>
Analisis Sentimen Bakal Calon Presiden Indonesia 2024 Dengan Algoritma Naïve Bayes
Authors: HAIKAL MOHAMMAD FIKRI , INDRA JAMALUDIN , RAHMAT RAHMAT 
Published: June 2024

<p align="center"><strong><em>Abstract</em></strong></p><p><em>Indonesia's current constitutional regulations prohibit a president from running for more than two consecutive terms. Therefore, the presidential election in 2024 will be a very interesting moment, because Jokowi cannot run again. This opens up opportunities for various figures and other political figures to compete and nominate themselves as presidential candidates. Internet residents are also active in expressing their opinions on this matter, one of whom is Twitter user. This opinion from Twitter is used to analyze public sentiment towards presidential candidate figures. This research applies the Naive Bayes algorithm. The hope is that the results of this research can provide insight to the public in the presidential election process in the next presidential election. The conclusion of this research is that the accuracy value is 80% for Ganjar Pranowo, 70.4% for Anies Baswedan, and 75% for Prabowo Subianto. The best Naive Bayes algorithm testing performance is found in the Ganjar Pranowo dataset with an f1-score of 0.88 for the positive class.</em></p><p><strong><em>Keywords:</em></strong><em> Presidential Candidates; Figures; Sentiments; Twitter; Naive Bayes</em>.</p><p align="center"><em> </em></p><p align="center"><strong>Abstrak</strong></p><p>Peraturan konstitusi Indonesia saat ini melarang seorang presiden untuk mencalonkan diri lebih dari dua periode berturut-turut. Oleh karena itu, pemilihan presiden pada tahun 2024 akan menjadi momen yang sangat menarik, karena presiden Jokowi tidak dapat mencalonkan diri lagi. Hal ini membuka peluang bagi berbagai tokoh dan figur politik lainnya untuk bersaing dan mencalonkan diri sebagai bakal calon presiden. Warga internet juga aktif berpendapat mengenai hal ini, salah satunnya pengguna <em>twitter</em>. Pendapat dari <em>twitter</em> ini digunakan untuk menganalisis sentimen masyarakat terhadap tokoh-tokoh calon presiden. Penelitian ini menerapkan algoritma <em>Naive Bayes</em>. Harapannya, hasil penelitian ini dapat memberikan wawasan kepada masyarakat dalam proses pemilihan presiden pada pemilihan presiden mendatang. Kesimpulan dari penelitian ini mendapatkan nilai akurasi yaitu 80% untuk Calon Presiden Ganjar Pranowo, 70,4% untuk calon presiden Anies Baswedan, dan 75% untuk calon presiden Prabowo Subianto. Performa pengujian Algoritma <em>Naive Bayes</em> terbaik terdapat pada pengujian dataset untuk calon presiden Ganjar Pranowo dengan nilai f1-score sebesar 0,88 untuk kelas positif.</p><p> </p>
Identification study of Vicia faba genotypes based on seed properties and mineral content
Authors: Al-Mathidy Aamer Muhsen , Al-Talab Noor Nabeel , Shehab Muna Omar , Esho Kamal Benyamin 
Published: June 2024

Abstract
The presented research was conducted at Vegetable Research Farm, Horticulture and Landscape Design, Agriculture and Forestry College, Univ. of Mosul. The research examines the mineral concentration and protein in fifteen genotypes of faba bean, which were sowing under Mosul condition,using RCBD design with three replicates for each genotype. The result showed that the mineral element concentration was considerable variation amongst the genotypes; genotype (S 2009, 140) gave a high value in the number of seeds in each pod, while genotype (S 2008, 096) was supervised in seed diameter, genotype gave a high value in seed length. At the same time, the genotype (S 2009, 175) was supervise compared with the other genotypes under the study, in the other hand the genotype (S 2008, 034) gave the high value in the seed weight per plant, The genotype (S 2009, 140 ) supervised in Fepercentagewhich was given a high value (5.275%) comparative with the other genotypes, while the genotype (Aguadulce) gave high value in K percentage (4.1%), the genotype (S2009,40) supervised in Ca percentage (1.75%) comparative with the other genotypes under the study, in the other hand the genotypes (S 2009, 116, S 2009, 81,S 2008, 034) gave the zero (0.0%) percentage in Mn., while the genotype (S 2008, 096) gave the high value in Pb percentage (8.710%).The genotype (ILB 1814) was supervised in N percentage and protein, which were (4.9 and 30.625%) respectively.

Key words:Faba bean, seed properties, Mineral element,protein
Books of Ukraine in the mirror of the state bibliography
Authors: Ocheretiana Lydiіa 
Published: June 2024

In modern society, with the rapid growth of the importance of information, its constant updating and rapid access to information resources comes to the fore the problem of orientation to provide an opportunity to navigate the general flow of domestic printed products. An important and socially significant element of the book business is the index "Chronicle of Books", which contains comprehensive bibliographic information about books and brochures from all fields of knowledge.
The bibliographic analysis of the database of the state bibliography of book editions "Chronicle of books" provides an idea of current trends in the development of the book publishing industry, science and culture. The proposed analytical review demonstrates the thematic distribution of publications in the database for 2021, which contains 15 390 bibliographic records according to UDC classes