bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kualitas Pelayanan Kefarmasian di Puskesmas Tampa Padang
Authors: Sahrianti S Nini , Fajriansyah Arif , Nasrullah Nasrullah 
Published: November 2024

<p align="center"><em>Pharmaceutical services are a form of pharmaceutical care that aims to maintain the quality of pharmaceutical preparations and support the success of therapy undergone by patients in treatment. The level of patient satisfaction is one way to measure the quality of pharmaceutical services. The purpose of this study was to determine the level of patient satisfaction with pharmaceutical services at the Tampapadang Health Center. This study was a descriptive study using a measuring instrument in the form of a questionnaire containing a list of questions containing 5 dimensions of quality, namely reliability, responsiveness, empathy, tangible, and assurance of service quality. The sample size in this study was 67 respondents determined using accidental sampling. The results of the study showed that the level of satisfaction per dimension was: reliability = the majority was satisfied (100%), responsiveness = the majority was satisfied (97%), empathy = the majority was satisfied (100%), tangible = the majority was satisfied (99%), assurance = the majority was satisfied (96%). Overall, the majority of respondents stated that they were satisfied (99%). Based on the results of the study, it was concluded that patients were satisfied with the pharmaceutical services at the Tampa Padang Health Center.</em></p><p><strong><em>Keywords</em></strong><em>: pharmaceutical services; health center; satisfaction; patient</em></p><p> </p><p align="center"><strong>ABSTRAK</strong></p><p> </p><p>Pelayanan kefarmasian adalah wujud dari asuhan kefarmasian yang bertujuan untuk menjaga mutu sediaan farmasi dan menunjang keberhasilan terapi yang dijalani oleh pasien dalam pengobatan. Tingkat kepuasan pasien merupakan salah satu cara ukur untuk mengetahui kualitas pelayanan kefarmasian. Tujuan penelitian ini adalah untuk mengetahui tingkat kepuasan pasien terhadap pelayanan kefarmasian di Puskesmas Tampapadang. Penelitian ini adalah penelitian deskriptif dengan menggunakan alat ukur berupa kuesioner yang berisi daftar pertanyaan yang memuat 5 dimensi kualitas yaitu <em>reliability</em>, <em>responsiveness</em>, <em>emphaty, tangible, </em>dan<em> assurance</em> kualitas pelayanan. Ukuran sampel dalam penelitian ini adalah 67 responden yang ditentukan dengan menggunakan <em>accidental sampling</em>. Hasil penelitian menunjukkan bahwa tingkat kepuasan per dimensi adalah: <em>reliability</em> = mayoritas adalah puas (100%), <em>responsiveness</em> = mayoritas adalah puas (97%), <em>empathy</em> = mayoritas adalah puas (100%), <em>tangible</em> = mayoritas adalah puas (99%), <em>assurance</em> = mayoritas adalah puas (96%). Secara keseluruhan mayoritas responden menyatakan puas (99%). Berdasarkan hasil penelitian disimpulkan bahwa para pasien merasa puas terhadap pelayanan kefarmasian di Puskesmas Tampa Padang.</p><p><strong>Keyword: </strong>pelayanan kefarmasian; puskesmas; kepuasan; pasien</p>
School entry detection of struggling readers using gameplay data and machine learning
Authors: Foldnes Njål , Uppstad Per Henning , Grønneberg Steffen , Thomson Jenny M. 
Published: November 2024

IntroductionCurrent methods for reading difficulty risk detection at school entry remain error-prone. We present a novel approach utilizing machine learning analysis of data from GraphoGame, a fun and pedagogical literacy app.MethodsThe app was played in class daily for 10 min by 1,676 Norwegian first graders, over a 5-week period during the first months of schooling, generating rich process data. Models were trained on the process data combined with results from the end-of-year national screening test.ResultsThe best machine learning models correctly identified 75% of the students at risk for developing reading difficulties.DiscussionThe present study is among the first to investigate the potential of predicting emerging learning difficulties using machine learning on game process data.
Artificial intelligence for higher education: benefits and challenges for pre-service teachers
Authors: Kalniņa Daiga , Nīmante Dita , Baranova Sanita 
Published: November 2024

IntroductionThe study investigates the integration of artificial intelligence (AI) in higher education (HE) and its impact on pre-service teachers at the University of Latvia (UL) by exploring pre-service teachers' perceptions of the benefits and challenges of AI in both their academic learning and their future professional roles as educators, particularly regarding the promotion of inclusive education.MethodsData was collected via an online survey of 240 pre-service teachers across various disciplines at the UL. The survey included demographic details, AI usage patterns, and perceived benefits and challenges. Responses were analyzed using descriptive statistics, Kruskal-Wallis H tests, Spearman's correlation, and thematic analysis.ResultsLess than half of the participants used AI in their studies, with many expressing ambivalence or opposition toward AI. Benefits included language assistance and accessibility to global knowledge, while challenges involved reduced critical thinking and concerns over plagiarism. Despite recognizing AI's potential to promote inclusivity, most pre-service teachers have not applied it in practice. No significant differences in AI perceptions were found based on age, gender, or study level.DiscussionThe findings highlight a low adoption rate of AI among pre-service teachers and a gap between theoretical recognition of AI's potential and its practical application, particularly for inclusion. The study emphasizes the need for HE institutions to enhance AI literacy and readiness among future teachers.ConclusionAI is underutilized by pre-service teachers in both HE learning and teaching environments, which has implications for teacher preparation programs that better integrate AI literacy and inclusive practices.
The correlation between Diabetes and age-related degeneration and the static and dynamic 3D mechanical distribution of different plantar regions
Authors: Yang Xiong-gang , Hu Xing-xi , Wang Qi-yang , Peng Zhi , Luo Hao-tian , Lu Sheng 
Published: November 2024

PurposeThis study aimed to compare the distribution of plantar pressure and anterior-posterior (AP) or medial-lateral (ML) shear forces in healthy younger (HY) people, healthy older (HO) people, and diabetic patients, both in static standing and during gait.Materials and methodsA total of 20 HY adults, 16 HO adults and 15 diabetic patients were included. The static mechanical distribution measurements included: static horizontal, AP slope plane, and left/right slope standing. Data collected during the gait cycle encompassed the plantar pressure-time integral (PTI), peak pressure (PP), AP/ML shear force-time integral (AP-STI/ML-STI), and AP/ML peak shear force (AP-PS/ML-PS). The plantar surface was segmented into regions including hallux (HL), 2nd~5th toes (T2-5), 1st metatarsal head (M1), 2nd~3rd metatarsal heads (M2-3), 4th~5th metatarsal heads (M4-5), lateral foot arch (LA), and heel regions.ResultsThe HO group exhibited increased static pressure in M2-3 and heel regions and AP shear force in the entire plantar and M1 regions, in comparison to the HY group. The diabetes group showed increased static pressure in entire plantar, M1, M2-3 and heel regions and AP shear force in the entire plantar, T2-5, M1, M2-3 and heel regions. During gait, the HO group exhibited increased PTI in the whole plantar, T2-5, M2-3, and M4-5 regions, while the diabetes group showed increased PTI in the whole plantar, M1 and M2-3 regions. The HO group showed increased PP in the whole plantar, M1 and heel regions, while decreased in the M2-3 region. The diabetes group showed increased PP in the whole plantar, T2-5, M2-3, M4-5 and heel regions. The HO group showed increased AP-STI in the T2-5, M1, and M2-3 regions, while the diabetes group showed increased AP-STI in the whole plantar, M2-3 and heel regions.ConclusionsOur findings indicate that both static and dynamic plantar pressures and shear forces are significantly greater in diabetic patients and HO individuals compared to HY adults. The most substantial increases was occurred under the M2-3 and heel regions.
Transcriptome analysis revealed that ischemic post-conditioning suppressed the expression of inflammatory genes in lung ischemia-reperfusion injury
Authors: Lin Liangen , Sun Congcong , Ye Yuanwen , Zhu Peng , Pan Keyue , Chen Linglong 
Published: November 2024

IntroductionIschemic post-conditioning (I-post C) is a recognized therapeutic strategy for lung ischemia/reperfusion injury (LIRI). However, the specific mechanisms underlying the lung protection conferred by I-post C remain unclear. This study aimed to investigate the protective mechanisms and potential molecular regulatory networks of I-post C on lung tissue.MethodsTranscriptome analysis was performed on rat lung tissues obtained from Sham, ischemia-reperfusion (IR), and I-post C groups using RNA-seq to identify differentially expressed genes (DEGs). Subsequently, gene ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and gene set enrichment analysis (GSEA) were conducted to elucidate significantly enriched pathways in the IR and I-post C groups. Additionally, protein-protein interaction (PPI) network analysis was carried out to examine associations among the DEGs. Pathological changes in lung tissues were assessed using hematoxylin-eosin (H&amp;E) staining. The expression levels of CXCL1 and CXCL6 in the IR and I-post C groups were evaluated through immunofluorescence and Western blotting.ResultsOur results showed that I-post C significantly attenuated both pulmonary edema and inflammatory cell infiltration. Transcriptome analysis identified 38 DEGs in the I-post C group compared to the IR group, comprising 21 upregulated and 17 downregulated genes. Among these, seven inflammation-related DEGs exhibited co-expression patterns with the Sham and IR groups, with notable downregulation of Cxcl1 and Cxcl6. GO analysis primarily linked these DEGs to neutrophil activation, chemotaxis, cytokine activity, and CCR chemokine receptor binding. KEGG analysis revealed enriched pathways, including the IL-17, TNF, and NF-κB signaling pathways. GSEA indicated downregulation of neutrophil chemotaxis and the IL-17 signaling pathway, correlating with reduced expression of Cxcl1 and Cxcl6. Validation of Cxcl1 and Cxcl6 mRNA expression via immunofluorescence and Western blotting supported the RNA-seq findings. Furthermore, a PPI network was constructed to elucidate interactions among the 29 DEGs.ConclusionsThrough RNA-Seq analysis, we concluded that I-post C may reduce inflammation and suppress the IL-17 signaling pathway, thereby protecting against lung damage caused by LIRI, potentially involving neutrophil extracellular traps.
asmbPLS: biomarker identification and patient survival prediction with multi-omics data
Authors: Zhang Runzhi , Datta Susmita 
Published: November 2024

IntroductionWith the advancement of high-throughput studies, an increasing wealth of high-dimensional multi-omics data is being collected from the same patient cohort. However, leveraging this multi-omics data to predict survival outcomes poses a significant challenge due to its complex structure.MethodsIn this article, we present a novel approach, the Adaptive Sparse Multi-Block Partial Least Squares (asmbPLS) Regression model, which introduces a dynamic assignment of penalty factors to distinct blocks within various PLS components, facilitating effective feature selection and prediction.ResultsWe compared the proposed method with several state-of-the-art algorithms encompassing prediction performance, feature selection and computation efficiency. We conducted comprehensive evaluations using both simulated data with various scenarios and a real dataset from the melanoma patients to validate the effectiveness and efficiency of the asmbPLS method. Additionally, we applied the lung squamous cell carcinoma (LUSC) dataset from The Cancer Genome Atlas (TCGA) to further assess the feature selection capability of asmbPLS.DiscussionThe inherent nature of asmbPLS imparts it with higher sensitivity in feature selection compared to other methods. Furthermore, an R package called asmbPLS implementing this method is made publicly available.
Higher density of CD4+ T cell infiltration predicts severe renal lesions and renal function decline in patients with diabetic nephropathy
Authors: Han Qianqian , Xu Huan , Li Lin , Lei Song , Li Ziyao , Zhao Lijun , Liu Fang 
Published: November 2024

BackgroundMore evidence have shown that the combination of immune and inflammatory mechanism was critical in diabetic nephropathy (DN). However, the relationship between CD4+ T cells and the development of DN is still unclear. Therefore, this study will focus on this issue from the perspective of clinicopathology.MethodsFrom September 2019 to December 2022, a total of 112 adult patients with DN were enrolled in the study. According to the density of CD4+ T cell infiltration based on immunostaining, the patients were divided into high-CD4 group (56 patients) and low-CD4 group (56 patients). Another 25 diabetic patients with minimal change disease (non-diabetic nephropathy, NDN) was reviewed as control group in clinical and molecular analysis. The clinical parameters, morphological features, and molecular characteristics were compared. The predictive value of CD4+ T cells for DN prognosis was also investigated.ResultsDN patients in the high-CD4 group suffered from higher proteinuria and lower estimated glomerular filtration rate (eGFR) level than those in the low-CD4 group and NDN patients. Renal biopsy in the high-CD4 group presented with more severe glomerular lesions, higher density of interstitial inflammation, and more severe tubular atrophy/interstitial fibrosis than in the low-CD4 group. Multivariate logistic analysis indicated that the density of CD4+ T cell infiltration could independently predict the severity of tubular atrophy/interstitial fibrosis. In addition, more severe mitochondrial damage of renal tubular epithelial cells and a more obvious expression of Bcl6, IL-6, STAT3, and TGFβ1 were observed in DN patients of the high-CD4 group, indicating the possible mechanism of CD4+ T cells involving the progression of DN. Multivariate Cox regression analysis revealed that a higher intensity of interstitial CD4+ T cell deposition remained as an independent predictor of the double endpoint with doubling of baseline serum creatinine or end-stage renal disease.ConclusionThe high density of CD4+ T cell infiltration was associated with renal function decline and severity of renal lesions and predicted poor renal survival for DN patients.
Vitamin D deficiency and duration of COVID-19 symptoms in UK healthcare workers
Authors: Chadda Karan R. , Roberts Sophie A. , Lugg Sebastian T. , Faniyi Aduragbemi A. , Faustini Sian E. , Webster Craig , Duffy Joanne E. , Hewison Martin , Shields Adrian , Richter Alex G. , Parekh Dhruv , Scott Aaron , Thickett David R. 
Published: November 2024

ObjectivesVitamin D has a role in the innate immunity against pathogens and is also involved in mechanisms for reducing inflammation. VD deficiency (VDD) may increase COVID-19 infection susceptibility, however research is limited on the association between VDD and COVID-19 symptom prevalence and duration. The study aimed to determine whether VDD is a risk factor for the presence and extended duration of COVID-19 symptoms.MethodsData was analyzed from NHS healthcare workers who isolated due to COVID-19 symptoms as a part of the COVID-19 convalescent immunity study between 12th to 22nd May 2020. Participants self-reported the presence and duration of viral symptoms. Anti-SARS-CoV-2 antibodies and vitamin D (25(OH)D3) serum levels were measured on day of recruitment. VDD was defined as 25(OH)D3 levels of &lt; 30 nmol/l.ResultsOf the 392 participants, 15.6% (n = 61) had VDD. VDD participants had more symptoms overall (p = 0.0030), including body aches (p = 0.0453), and extended duration of body aches (p = 0.0075) and fatigue (p = 0.0127). Binary logistic regression found that both VDD (OR 3.069, 95% CI 1.538–6.124; p = 0.001) and age (OR 1.026, 95% CI 1.003–1.049; p = 0.025) were independently associated with extended durations of body aches. VDD (OR 2.089, 95% CI 1.087–4.011; p = 0.027), age (OR 1.036, 95% CI 1.016–1.057; p &lt; 0.001) and seroconversion (OR 1.917, 95% CI 1.203–3.056; p = 0.006), were independently associated with extended durations of fatigue.ConclusionVDD is a significant independent risk factor for extended durations of body aches and fatigue in healthcare workers who isolated for COVID-19 viral symptoms. Vitamin D supplementation may reduce symptom duration and is thus an area for future research.
Potential of gut microbiota metabolites in treating COPD: network pharmacology and Mendelian randomization approaches
Authors: Cao Zhenghua , Zhao Shengkun , Wu Tong , Sun Feng , Hu Shaodan , Shi Li 
Published: November 2024

ObjectiveThe gut microbiota and its metabolites exert a significant influence on COPD, yet the underlying mechanisms remain elusive. We aim to holistically evaluate the role and mechanisms of the gut microbiota and its metabolites in COPD through network pharmacology and Mendelian randomization approaches.MethodsEmploying network pharmacology, we identified the gut microbiota and its metabolites’ impact on COPD-related targets, elucidating the complex network mechanisms involving the gut microbiota, its metabolites, targets, and signaling pathways in relation to COPD. Further, promising gut microbiota metabolites and microbiota were pinpointed, with their causal relationships inferred through Mendelian randomization.ResultsA complex biological network was constructed, comprising 39 gut microbiota, 20 signaling pathways, 19 targets, and 23 metabolites associated with COPD. Phenylacetylglutamine emerged as a potentially promising metabolite for COPD treatment, with Mendelian randomization analysis revealing a causal relationship with COPD.ConclusionThis study illuminates the intricate associations between the gut microbiota, its metabolites, and COPD. Phenylacetylglutamine may represent a novel avenue for COPD treatment. These findings could aid in identifying individuals at high risk for COPD, offering insights into early prevention and treatment strategies.
Quality of life and its predictors among breast cancer patients treated with surgery—a retrospective minimum 3-year follow-up study
Authors: Tang Wen-Zhen , Lu Yao-Qiong , Zhu Sheng-Rui , Teng Yan-Juan , Wei Tian-Fu , Chen Guo-Lian , Jia Kui 
Published: November 2024

AimQuality of life (QoL) has been identified as an important indicator of positive outcomes among breast cancer (BC) survivors. However, the status and predictors of QoL in China remain unclear. This retrospective follow-up study aimed to examine the QoL levels among BC patients following surgery and to assess the influence of sociodemographic, clinical, and psychological factors on QoL.MethodsAn institution-based retrospective follow-up study was conducted among 714 BC patients who received surgery at the First Affiliated Hospital of Guangxi Medical University between January 2016 and December 2019. Our primary outcome measure was QoL, assessed using the European Organization for Research and Treatment of Cancer QoL Questionnaire Core 30 (EORTC QLQ-C30). Anxiety and depression were evaluated by the Self-Rating Anxiety Scale (SAS) and the Self-Rating Depression Scale (SDS), respectively. Data on the patient demographics and clinical were derived from medical records. Results are presented as means (SD), medians [Q1, Q3], or percentage (%). We used R 4.2.2 software to identify factors associated with QoL after BC surgery. AMOS 28.0 was used to construct a structural equation model (SEM) to predict QoL outcomes.ResultsThe overall QoL score was 43.30 ± 4.77 (mean ± SD). Predictive factors were: surgery type, radiotherapy, anxiety, and depression (p&lt;0.05). The results of the SEM indicated that anxiety and depression had a direct negative effect on QoL (effect value was -0.46, -0.84, respectively, p&lt;0.05), radiotherapy had a direct positive effect on QoL (effect value was 0.71, p&lt;0.05). The type of surgery (mastectomy) impacted QoL both directly and indirectly through its association with depression, with direct and indirect effect values of -0.96 and -0.66, respectively (p &lt; 0.05).ConclusionThe QoL of BC patients after surgery is generally moderate to low. Medical staff should prioritize early identification and rehabilitation management for patients experiencing anxiety, depression, radiotherapy, and mastectomy to enhance their QoL. Our findings provide a strong foundation for developing nursing intervention plans and assessment guidelines for practitioners caring for BC patients.
Application value of strain elastography in testicular injury assessment after torsion
Authors: Zhou Jiehong , Peng Chihan , Zhu Xiaoxia , Yao Wenqing , Luo Yan , Yang Lulu 
Published: November 2024

AimTo evaluate the capability of strain elastography (SE) in assessing the degree of testicular injury after torsion.Material and methodsIn total, 50 rabbits were divided into four groups according to different degrees of testicular torsion (TT) at 0°, 180°, 360°, and 720°. For each animal, according to the tissue stiffness distribution, an SE score and strain ratio (SR) were obtained. With the histopathological results as the reference, the correlation coefficients of the apoptotic index and SE score or SR were calculated, and the receiver operating characteristic (ROC) curves were created to assess the capability of SE in assessing the degree of testicular injury.ResultsA significant positive correlation was found between the apoptotic index and SE score, as well as the SR, with corresponding correlation coefficients of 0.70 (&lt;0.001) and 0.68 (P = 0.001), respectively. The areas under the ROC curves (AUCs) of the SE score and SR for identifying ischemia/hypoxia injury were found to be 0.81 (95% CI, 0.71–0.93) and 0.73 (95% CI, 0.60–0.86), respectively. For identifying irreversible damage, the AUCs were 0.69 (95% CI, 0.56–0.83) and 0.71 (95% CI, 0.59–0.84) for the SE score and SR, respectively.ConclusionsSE scores exhibited good diagnostic capability for detecting ischemia/hypoxia injury after TT. In early identification of severe injury/necrosis following TT, SE demonstrated some value but was not ideal.