bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGGUNAAN METODE SERVQUAL UNTUK MENILAI MUTU PELAYANAN DI KLINIK PRATAMA BABUN RIZKI
Authors: Br sinambela Salsabilah Ramadani , Nurwati Nurwati , Rohminatin Rohminatin 
Published: January 2025

Abstract: Babun Rizki Pratama Clinic is a business that operates in the health services sector. Pratama Babun Rizki Clinic is located in Haessa Air Genting Village Dusun IV, Air Batu District, Asahan Regency. The public always asks for quality medical services, but often these requests do not meet expectations, because the services provided to patients at Babunn Rizki Pratama Clinic are said to be less effective. The lack of staff at the Pratama Babun Rizki Clinic results in a long patient examination process, so that many patients receive less effective services and are at high risk of experiencing medical errors. These various problems can be overcome by using technology that carries the concept of service to patients using the Service Quality (SERVQUAL) method. The method used in this research is qualitative, where this research is carried out by distributing questionnaires to find out how respondents respond to the services provided. The results of service calculations using the Servqual method at Babun Rizki Pratama Clinic showed that 80% of respondents felt "Not Satisfied" and 20% felt "Very Satisfied". Of the total assessment, there were 20 data indicating "Not Satisfied" and 5 data indicating "Very Satisfied". From the results of this percentage, it can be seen that only 5 data stated "Very Satisfied". Keywords: service quality (servqual); babun rizki pratama clinic; decision support system; ph; mysqlAbstrak: Klinik Pratama Babun Rizki merupakan salah satu usaha yang bergerak dalam bidang jasa kesehatan. Klinik Pratama Babun Rizki beralamat di desa Haessa Air Genting Dusun IV Kecamatan Air Batu Kabupaten Asahan. Masyarakat selalu meminta pelayanan medis yang berkualitas, namun seringkali permintaan tersebut tidak sesuai harapan, karena pelayanan yang diberikan kepada pasien di Klinik Pratama Babunn Rizki dikatakan kurang efektif. Kurangnya pegawai yang ada di Klinik Pratama Babun Rizki mengakibatkan lamanya proses pemeriksaan kepada pasien, sehingga banyak pasien yang mendapatkan layanan kurang efektif dan beresiko tinggi mengalami kesalahan medis. Berbagai permasalahan tersebut dapat diatasi dengan menggunakan teknologi yang mengusung konsep pelayanan kepada pasien dengan menggunakan metode Service Quality (SERVQUAL). Metode yang digunakan dalam penelitian ini adalah kulitatif, dimana penelitian ini dilakukan dengan cara menyebarkan kuisioner untuk mengetahui bagaimana tanggapan responden terhadap pelayanan yang diberikan. Hasil perhitungan pelayanan menggunakan metode Servqual di Klinik Pratama Babun Rizki menunjukkan bahwa 80% responden merasa "Tidak Puas" dan 20% merasa "Sangat Puas". Dari total penilaian, terdapat 20 data yang menunjukkan "Tidak Puas" dan 5 data yang menyatakan "Sangat Puas". Dari hasil persentasi tersebut dapat dilihat hanya 5 data yang menyatakan “Sangat Puas”.Kata kunci: service quality (servqual); klinik pratama babun rizki; sistem pendukung keputusan; php; mysql
Development of a Microcontroller E-Module Based on Grove Beginner Kit for Arduino Informatics Subject
Authors: Ariza Rojian , Rusdiana Rusdiana , Nirawana I Wayan Sugianta 
Published: January 2025

Lack of teaching materials, time limitations, and uninteresting materials are problems that need to be solved so that students can better understand learning at school. The researcher provides solutions to develop E-modules that can be accessed on the internet. This research aims to develop E-module based on a microcontroller based on the Grove Beginner Kit for Arduino as a teaching material for informatics subjects and to determine the feasibility of e-modules in Arduino microcontroller material class XI at SMA Negeri 10 Samarinda. This type of research is development using a 4-D model, consisting of Define, Design, Develop, and Disseminate. Studies show that the results of E-module tests by material experts result in an average percentage of 90%, with a very decent category. The average percentage of media expert assessments is 92%, and the E-modules are feasible to implement. Overall, the combined average of the due diligence by experts reached 91%, with the category of very feasible. The results of student responses were obtained with an average percentage of 81% with very feasible criteria. so it can be concluded that the Grove Beginner Kit-based microcontroller e-module for Arduino can be applied or disseminated at SMA Negeri 10 Samarinda. Further research is expected to be carried out on other development models such as the borg and gaal models or the R2D2 model (reflective, recursive design and development). .
Owners’ perceptions of dog treat management in Western Romania
Authors: Daina Sorana , Blaga-Petrean Anamaria , Popescu Silvana , Pop Ioana Delia , Mierlita Daniel , Macri Adrian 
Published: January 2025

IntroductionWithin the broader-than-ever palette of pet foods, dog treats are an assortment sustained by powerful marketing tools and compelling advertising. The wide range and availability of these products often pair with the fondness of owners for their companions, leading to overfeeding them with rewards.MethodsThis study explored owner treat provision behaviors among 890 voluntarily participating dog owners in Western Romania through an online survey conducted between June and November 2023.ResultsThe majority of respondents were women (72%) and younger adults aged 18–24 (39%). Emotional attachment was the primary motivation for providing treats (52%), followed by perceived health benefits (35%) and training purposes (25%). However, 84% of respondents did not account for the caloric value of treats in their dogs' daily diet, and only 16% adjusted their dogs' main meals to compensate for treat provision. Preferences leaned toward treats with dental benefits (58%) and biscuits (52%). Many owners reported offering treats multiple times daily, highlighting the role of treats in owner-dog bonding. Chi-square tests of independence, with Bonferroni-adjusted post-hoc pairwise comparisons, revealed significant associations between treat provision frequency, owner demographics, and dog characteristics. Younger owners (18–24 years) were significantly more likely to provide treats at higher frequencies, with 31.8% giving treats 'multiple times daily' compared to 7.1% of older owners (&gt;55 years) (p&lt;0.002). Similarly, single owners provided treats more frequently, with 31.9% giving treats 'once daily' and 42.1% 'multiple times daily', compared to 7.1% and 22.4%, respectively, among owners in committed relationships (p&lt;0.005). Owners who provided treats less frequently, 'seldom' (80.7%) or 'a few times a week' (87.8%), were more likely to have dogs with an ideal weight, while higher treat frequencies – 'once daily' (40.0%) or 'multiple times daily' (52.7%), were significantly associated with overweight or obese dogs (p&lt;0.003).DiscussionThese findings underscore the importance of educating dog owners on aligning treat provision with caloric requirements and promoting responsible feeding practices. Veterinarians play a critical role in guiding owners toward balanced feeding strategies that incorporate treats into comprehensive dietary plans. Addressing treat provision behaviors is essential to mitigating health risks, improving canine nutrition, and promoting overall well-being.
Establishment and evaluation of a UPLC-MS/MS method for simultaneous determination of bongkrekic acid and dehydroacetic acid in rice noodles
Authors: Zhao Lingguo , Lv Ronggui , Song Jiang , Chen Xi , Lei Lei , Zeng Weixian , She Miaowen , Li Dabing , Yu Xiaxia , Liu Zhanguo , Wang Xiao , Liu Yong 
Published: January 2025

A UPLC-MS/MS method with one-step extraction and simultaneous determination of bongkrekic acid (BA) and dehydroacetic acid (DHA) in rice noodles has been established in this study for the first time. The extraction solvent consisted of a mixture of methanol, ammonia, and water. Electrospray ionization negative ion mode (ESI-) was used for multiple reaction detection and external standard method was used for quantitative determination. The method demonstrated a good linearity range of 0–50 ng/mL with a correlation coefficient (r) of 0.9998 for BA, and showed a linearity range of 0∼500 ng/mL with r of 0.9993 for DHA. The limits of detection (LOD) were determined to be 0.1 μg/kg for BA and 0.6 μg/kg for DHA. Additionally, the method exhibited good recovery of 90.1%∼105.4% for BA and 80.4%∼102% for DHA. Meanwhile, the method also exhibited good precision with RSD of 0.4%∼7.5% for BA, and with RSD of 4.5%∼11.4% for DHA. Furthermore, the established method was sucessfully applied to the analysis of rice noodles from two production enterprises. BA was detected in one rice noodle sample and DHA was detected in 7 rice noodle samples in the enterprises A which was the manufacturer of food consumed by the poisoned patient. To investigate the cause of death of the poisoned patient, the toxigenic bacterium Burkholderia gladiolus was isolated and cultured to produce BA. The results showed that the established method could also be used to qualitatively screen BA and its isomer isobongkrekic acid (IBA) in GVC enrichment broth, potato glucose agar and rice sample, which facilitates a rapid and accurate judgement of whether the isolated bacterium strain produces BA. With high sensitivity and accuracy, and simple sample pretreatment, the proposed method shows potential for safety assessment of the entire production process of rice-derived products, addressing a significant public health concern.
Identification of biomarkers for the diagnosis of type 2 diabetes mellitus with metabolic associated fatty liver disease by bioinformatics analysis and experimental validation
Authors: Wu Guiling , Wu Sihui , Xiong Tian , Yao You , Qiu Yu , Meng Liheng , Chen Cuihong , Yang Xi , Liang Xinghuan , Qin Yingfen 
Published: January 2025

BackgroundType 2 diabetes (T2DM) combined with fatty liver is a subtype of metabolic fatty liver disease (MAFLD), and the relationship between T2DM and MAFLD is close and mutually influential. However, the connection and mechanisms between the two are still unclear. Therefore, we aimed to identify potential biomarkers for diagnosing both conditions.MethodsWe performed differential expression analysis and weighted gene correlation network analysis (WGCNA) on publicly available data on the two diseases in the Gene Expression Omnibus database to find genes related to both conditions. We utilised protein–protein interactions (PPIs), Gene Ontology, and the Kyoto Encyclopedia of Genes and Genomes to identify T2DM-associated MAFLD genes and potential mechanisms. Candidate biomarkers were screened using machine learning algorithms combined with 12 cytoHubba algorithms, and a diagnostic model for T2DM-related MAFLD was constructed and evaluated.The CIBERSORT method was used to investigate immune cell infiltration in MAFLD and the immunological significance of central genes. Finally, we collected whole blood from patients with T2DM-related MAFLD, MAFLD patients and healthy individuals, and used high-fat, high-glucose combined with high-fat cell models to verify the expression of hub genes.ResultsDifferential expression analysis and WGCNA identified 354 genes in the MAFLD dataset. The differential expression analysis of the T2DM-peripheral blood mononuclear cells/liver dataset screened 91 T2DM-associated secreted proteins. PPI analysis revealed two important modules of T2DM-related pathogenic genes in MAFLD, which contained 49 nodes, suggesting their involvement in cell interaction, inflammation, and other processes. TNFSF10, SERPINB2, and TNFRSF1A were the only coexisting genes shared between MAFLD key genes and T2DM-related secreted proteins, enabling the construction of highly accurate diagnostic models for both disorders. Additionally, high-fat, high-glucose combined with high-fat cell models were successfully produced. The expression patterns of TNFRSF1A and SERPINB2 were verified in patient blood and our cellular model. Immune dysregulation was observed in MAFLD, with TNFRSF1A and SERPINB2 strongly linked to immune regulation.ConclusionThe sensitivity and accuracy in diagnosing and predicting T2DM-associated MAFLD can be greatly improved using SERPINB2 and TNFRSF1A. These genes may significantly influence the development of T2DM-associated MAFLD, offering new diagnostic options for patients with T2DM combined with MAFLD.
Mapping knowledge landscapes and emerging trends in artificial intelligence for antimicrobial resistance: bibliometric and visualization analysis
Authors: Wang Zhongli , Zhu Gaopei , Li Shixue 
Published: January 2025

ObjectiveTo systematically map the knowledge landscape and development trends in artificial intelligence (AI) applications for antimicrobial resistance (AMR) research through bibliometric analysis, providing evidence-based insights to guide future research directions and inform strategic decision-making in this dynamic field.MethodsA comprehensive bibliometric analysis was performed using the Web of Science Core Collection database for publications from 2014 to 2024. The analysis integrated multiple bibliometric approaches: VOSviewer for visualization of collaboration networks and research clusters, CiteSpace for temporal evolution analysis, and quantitative analysis of publication metrics. Key bibliometric indicators including co-authorship patterns, keyword co-occurrence, and citation impact were analyzed to delineate research evolution and collaboration patterns in this domain.ResultsA collection of 2,408 publications was analyzed, demonstrating significant annual growth with publications increasing from 4 in 2014 to 549 in 2023 (22.7% of total output). The United States (707), China (581), and India (233) were the leading contributors in international collaborations. The Chinese Academy of Sciences (53), Harvard Medical School (43), and University of California San Diego (26) were identified as top contributing institutions. Citation analysis highlighted two major breakthroughs: AlphaFold’s protein structure prediction (6,811 citations) and deep learning approaches to antibiotic discovery (4,784 citations). Keyword analysis identified six enduring research clusters from 2014 to 2024: sepsis, artificial neural networks, antimicrobial resistance, antimicrobial peptides, drug repurposing, and molecular docking, demonstrating the sustained integration of AI in antimicrobial therapy development. Recent trends show increasing application of AI technologies in traditional approaches, particularly in MALDI-TOF MS for pathogen identification and graph neural networks for large-scale molecular screening.ConclusionThis bibliometric analysis shows the importance of artificial intelligence in enhancing the progress in the discovery of antimicrobial drugs especially toward the fight against AMR. From enhancing the fast, efficient and predictive performance of drug discovery methods, current AI capabilities have revealed observable potential to be proactive in combating the ever-growing challenge of AMR worldwide. This study serves not only an identification of current trends, but also, and especially, offers a strategic approach to further investigations.
The prevalence and antimicrobial resistance of respiratory pathogens isolated from feedlot cattle in Canada
Authors: Rattanapanadda Porjai , Ramsay Dana , Butters Alyssa , Booker Calvin W. , Hannon Sherry J. , Hendrick Steve , Van Donkersgoed Joyce , Warr Brian N. , Gow Sheryl P. , Morley Paul S. 
Published: January 2025

ObjectivesThe purpose of this study was to characterize the prevalence of antimicrobial resistance in Mannheimia haemolytica, Pasteurella multocida, and Histophilus somni isolated from healthy feedlot cattle over 2 years, and investigate factors potentially associated with recovery of resistant isolates.MethodsDeep-guarded nasopharyngeal (NP) swabs were used to sample feedlot cattle in multiple randomly selected feedlots (2019 n = 21, 2020 n = 26) at 2 timepoints. NP swabs were collected from 16 animals in each enrolled group upon entry processing and later in the feeding period. Cattle from the same groups (not necessarily the same animals) were sampled at both timepoints. Susceptibility testing was performed using the broth microdilution.ResultsA total of 1,392 cattle within 47 housing groups were sampled over 2 years, providing 625 bacterial isolates for investigation. Pasteurella multocida (27.4%) was the most frequently isolated BRD organism, followed by H. somni (9%) and M. haemolytica (8.5%). Resistance to ≥3 antimicrobial classes was detected in 2.4% of M. haemolytica, 3.4% of H. somni, and 21.3% of P. multocida isolates. Potential associations were investigated between recovery of resistant organisms and time of year at sampling (quarter), sampling timepoint (arrival or second sample), days on feed (DOF) at sampling, animal age categories, and BRD risk categories. There was a significant (p &lt; 0.05) increase in resistance prevalence after arrival for macrolide drugs in M. haemolytica, and for ampicillin, danofloxacin, enrofloxacin, spectinomycin, gamithromycin, tildipirosin, tulathromycin and tetracycline in P. multocida isolates. Resistance was higher in calves than in yearlings for tulathromycin in H. somni, and for gamithromycin, spectinomycin, tulathromycin, tildipirosin, and tetracycline for P. multocida (p &lt; 0.05) Resistance to tetracycline, tildipirosin, and tulathromycin decreased between 61–80 DOF and 81–100 DOF when compared to 20–40 DOF, whereas for spectinomycin, resistance was lower in cattle sampled between 61–80 DOF than those sampled at 20–40 DOF for P. multocida.DiscussionThe diversity of AMR profiles and associated risk factors between the BRD pathogens studied, underscores the importance of including all three organisms in future AMR studies in beef cattle.
Updated Bayesian network meta-analysis on the efficacy and safety of PD−1 versus PD−L1 inhibitors in first−line treatment with chemotherapy for extensive−stage small-cell lung cancer
Authors: Wang Ke , Zheng Chuangjie , Chen Xinrong , Lin Penghui , Lin Mengge , Chen Cuizhen , Zhai Linzhu 
Published: January 2025

ObjectiveTo compare the efficacy and safety of programmed cell death 1 inhibitors plus chemotherapy (PD-1 + Chemo) and programmed cell death ligand 1 inhibitors plus chemotherapy (PD-L1 + Chemo) for the treatment of extensive-stage small-cell lung cancer (ES-SCLC).MethodsWe performed a meta-analysis of relevant data using R software, considering overall survival (OS), progression-free survival (PFS), and grade ≥ 3 treatment-related adverse events (TRAES).ResultsPD-1 + Chemo (OS: hazard ratio [HR] 0.71; PFS: HR 0.59) and PD-L1 + Chemo (OS: HR 0.72; PFS: HR 0.73) significantly prolonged survival and did not increase the incidence of grade ≥3 TRAEs compared with chemotherapy. Indirect comparisons showed no significant difference in clinical efficacy (OS: HR 0.99, 95% CI: 0.86–1.1; PFS: HR 0.80, 95% CI: 0.61–1.0) or safety (HR 1.0, 95% CI: 0.93–1.1) between PD-1 + Chemo and PD-L1 + Chemo. Non-cumulative probability ranking plot ranking results showed that PD-1 + Chemo ranked first in OS and PFS. Patients with PD-L1 expression levels &lt; 1%, PD-1 + Chemo showed a trend of disadvantage (OS: HR 1.3; PFS: HR 1.2), whereas for patients with PD-L1 expression levels ≥ 1%, PD-1 + Chemo showed a trend of advantage (OS: HR 0.85; PFS: HR 0.85).ConclusionsPD-1 + Chemo and PD-L1 + Chemo significantly prolonged OS and PFS in patients with ES-SCLC and did not significantly increase the incidence of grade ≥ 3 TRAES. The efficacy and safety profiles of PD-1 + Chemo and PD-L1 + Chemo appear to be similar.
Protective role of ginsenoside Rg1 in the dynamic progression of liver injury to fibrosis: a preclinical meta-analysis
Authors: Dan Lijuan , Li Xiuyan , Chen Shuanglan , You Xiaojie , Wang Dong , Wang Tianyuan , Li Jia , Liu Wenping , Mu Jie , Feng Quansheng 
Published: January 2025

BackgroundThe pathological progression from liver injury to fibrosis is a hallmark of liver disease, with no effective strategies to halt this transition. Ginsenoside Rg1 has demonstrated a range of hepatoprotective properties; however, systematic preclinical evidence supporting its therapeutic potential for liver injury and fibrosis remains limited. Purpose. This study evaluated the efficacy and underlying mechanisms of ginsenoside Rg1 in animal models of liver injury and fibrosis, and providing a basis for future clinical investigation.MethodsA systematic review was conducted on preclinical studies published in PubMed, Web of Science, and Embase databases up to 1 August 2024, adhereing to rigorous quality standards. The methodological quality was assessed using SYRCLE’s risk of bias tool. Meta-analysis and subgroup analysis were performed using Revman 5.4 software, while publication bias was evaluated through funnel plots and Egger’s test in STATA 15.0 software. Additionally, a time-dose interval curve was utilized to assess the dose-response relationship and identify the effective dose of ginsenoside Rg1 for treating liver injury and fibrosis.ResultsTwenty-four trials involving 423 animals were included. The findings indicated that ginsenoside Rg1 significantly improved liver function markers (ALT and AST), reduced pathological indicators associated with liver injury and fibrosis, and lowered liver fibrosis-related markers (α-SMA, HYP, and PCIII). Furthermore, it exhibited beneficial effects on mechanistic indicators of inflammation, oxidative stress, and apoptosis, compared to the control group (P &lt; 0.05). Time-dose interval analysis revealed that the effective dose range of ginsenoside Rg1 was between 4 and 800 mg/kg/d.ConclusionRg1 at a dose of 4–800 mg/kg/d mitigates the progression of liver injury to fibrosis via anti-inflammatory, antioxidative, and anti-apoptotic pathways.Systematic Review Registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD 42024557878.
Maize transcriptome profiling reveals low temperatures affect photosynthesis during the emergence stage
Authors: Božić Manja , Ignjatović Micić Dragana , Anđelković Violeta , Delić Nenad , Nikolić Ana 
Published: January 2025

IntroductionEarlier sowing is a promising strategy of ensuring sufficiently high maize yields in the face of negative environmental factors caused by climate change. However, it leads to the low temperature exposure of maize plants during emergence, warranting a better understanding of their response and acclimation to suboptimal temperatures.Materials and MethodsTo achieve this goal, whole transcriptome sequencing was performed on two maize inbred lines – tolerant/susceptible to low temperatures, at the 5-day-old seedling stage. Sampling was performed after 6h and 24h of treatment (10/8°C). The data was filtered, mapped, and the identified mRNAs, lncRNAs, and circRNAs were quantified. Expression patterns of the RNAs, as well as the interactions between them, were analyzed to reveal the ones important for low-temperature response.Results and DiscussionGenes involved in different steps of photosynthesis were downregulated in both genotypes: psa, psb, lhc, and cab genes important for photosystem I and II functioning, as well as rca, prk, rbcx1 genes necessary for the Calvin cycle. The difference in low-temperature tolerance between genotypes appeared to arise from their ability to mitigate damage caused by photoinhibition: ctpa2, grx, elip, UF3GT genes showed higher expression in the tolerant genotype. Certain identified lncRNAs also targeted these genes, creating an interaction network induced by the treatment (XLOC_016169-rca; XLOC_002167-XLOC_006091-elip2). These findings shed light on the potential mechanisms of low-temperature acclimation during emergence and lay the groundwork for subsequent analyses across diverse maize genotypes and developmental stages. As such, it offers valuable guidance for future research directions in the molecular breeding of low-temperature tolerant maize.