bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengembangan Model Pembelajaran Inkuiri dalam Mata Kuliah Pendidikan Kewarganegaraan untuk Menguatkan Kewargaan Digital
Authors: Sartika Rika , Maftuh Bunyamin , Nurdin Encep Syarief , Budimansyah Dasim 
Published: December 2024

Penelitian ini bertujuan untuk menganalisis bagaimana implementasi model pembelajaran inkuiri dalam menguatkan keterampilan kewargaan digital yang dimiliki mahasiswa. Keterampilan ini sangat dibutuhkan untuk menghadapi era digital dimana ruang kehidupan tak terbatas dan pola interaksi yang bervariasi, agar tetap beretika. Melalui model pembelajaran inkuiri dalam Pendidikan Kewarganegaraan, diharapkan mahasiswa bukan hanya memiliki pengetahuan digital; namun juga memiliki tanggungjawab digital.Penelitian menggunakan pendekatan kualitatif; dengan pengumpulan data melalui observasi; wawancara; dan kajian literatur. Lokasi penelitian di dua perguruan tinggi yaitu Universitas Pendidikan Indonesia dan Institut Teknologi Bandung. Informan penelitian yang dituju yaitu dosen dan mahasiswa. Analisis data dilakukan melalui reduksi data; pengujian data; dan penarikan kesimpulan. Hasil penelitian menunjukan bahwa pengembangan model pembelajaran inkuiri yang ideal untuk menguatkan keterampilan kewargaan digital adalah yang dikolaborasikan dengan blended learning; Kendala yang dihadapi dalam penerapan model yaitu keterampilan dosen dalam menguasai teknologi dan motivasi mahasiswa menggunakan sumber digital yang terpercaya. Mahasiswa memiliki keterampilan kewargaan digital setelah menggunakan model inkuiri. Implikasi penelitian ini yaitu model hipotetik inkuiri yang sesuai dengan era digital saat ini dan dapat diterapkan di perkuliahan Pendidikan Kewarganegaraan.
Development and Application of Fluorescent and Lateral Flow Strip Recombinase-aided Amplification for rapid detection of Glasserella parasuis
Authors: Che Yongliang , Wang Yao , Wu Renjie , Wang Longbai , Wu Xuemin , Chen Qiuyong , Chen Rujing , Zhou Lunjiang 
Published: December 2024

Abstract

Background
Glaesserella parasuis (G. parasuis) is one of bacterial respiratory pathogens from pigs, which can cause high morbidity and mortality in weaned piglets in piggery. An accurate and rapid detection for G. parasuis is crucial for Glässer’s disease control. In the present study, two different Recombinase-aided Amplification (RAA) methods with fluorescence or lateral flow dipstrip were developed to detect G. parasuis.
Results
The fluorescent RAA (Fluo-RAA) and lateral flow RAA (LF-RAA) assays can specifically detect G. parasuis with a sensitivity of 10 copies and 100 copies, respectively. The two assays can use boiling treatment to nasal swabs fluid samples as DNA template with the same sensitivity as DNA extraction by commercial kit. In the detection nasal swabs samples, Fluo-RAA assay is more sensitive than LF-RAA assay and suitable for application in laboratory. But, because the whole procedureof LF-RAA assay can be finished in one hour without professional equipment, the assay has more advantage in field situation.
Conclusions
Both Fluo-RAA and LF-RAA assays are rapid and simple methods for precise diagnostic testing for G. parasuis infection.
YOLO-STOD: An Industrial Conveyor Belt Tear Detection Model Based on Yolov5 Algorithm
Authors: Liu Wei , Tao Qing , Wang Nini , Xiao Wendong , Pan Cen 
Published: December 2024

Abstract

Real-time detection of conveyor belt tearing is of great significance to ensure mining in the coal industry. The longitudinal tear damage problem of conveyor belts has the characteristics of multi-scale, abundant small targets, and complex interference sources. Therefore, in order to improve the performance of small-size tear damage detection algorithms under complex interference, we propose a visual detection method YOLO-STOD based on deep learning. Firstly, a multi-case conveyor belt tear datasets is developed for complex interference and small-size detection. Second, the detection method YOLO-STOD is designed, which utilizes the BotNet attention mechanism to extract multi-dimensional tearing features, enhancing the model's feature extraction ability for small targets and enables the model to converge quickly under the conditions of few samples. Secondly, Shape_IOU is utilized to calculate the training loss, and the shape regression loss of the bounding box itself is considered to enhance the robustness of the model. Finally, the detection performance of the designed algorithm in complex environments is verified. The experimental results show that the proposed algorithm has high detection accuracy and detection rate compared with existing detection algorithms, and it is expected to be used for real-time detection of conveyor belt tearing in the industrial field.
Rescue of In Vitro Models of Adult-Onset Leukodystrophy by Iluzanebart: Mechanisms and Therapeutic Implications of TREM2 Agonism
Authors: Larson Kelley C. , Gergits Frederick , Renoux Abigail J. , Weisman Elizabeth J. , Dejanovic Borislav , Huang Liyue , Pandya Bhaumik , McLaren Donald , Lynch Berkley A. , Fisher Richard , Thackaberry Evan , Gray David , Gaudreault Francois , Mirescu Christian 
Published: December 2024

Abstract

Microglia dysfunction is implicated in several neurodegenerative disorders, including a rare microgliopathy; CSF1R-related adult-onset leukoencephalopathy with axonal spheroids and pigmented glia (CSF1R-ALSP). CSF1R-ALSP is caused by heterozygous loss-of-function mutations in the colony stimulating factor 1 receptor (CSF1R) gene, which encodes a receptor required for the differentiation of myeloid cells, as well as for microglial survival and proliferation. Similar functions have also been ascribed to triggering receptor expressed on myeloid cells 2 (TREM2), which shares an analogous microglia enrichment profile and converging intracellular signaling pathway mediated by spleen associated tyrosine kinase (SYK) and phosphoinositide-3-kinase (PI3K). Iluzanebart is a human monoclonal IgG1, human TREM2 (hTREM2) agonist antibody under development for the treatment of CSF1R-ALSP. To explore the therapeutic hypothesis that loss of CSF1R signaling and related microglial hypofunction can be circumvented via activation of TREM2, we evaluated the potential of iluzanebart to compensate for CSF1R loss-of-function. Herein, we demonstrate that iluzanebart is a potent, dose-dependent, and specific activator of TREM2 signaling in human primary cells. Iluzanebart treatment rescued viability of human monocyte-derived macrophages (hMDM) and induced pluripotent stem cell-derived human microglia (iMGL) in multiple in vitro models of CSF1R-ALSP, including in induced pluripotent stem cell (iPSC) differentiated microglia carrying the heterozygous I794T mutation found in CSF1R-ALSP patients. Additionally, iluzanebart treatment in microglia modulated surface levels of CSF1R, resulting in increased receptor activation as measured by phosphorylation of CSF1R. Differentially expressed genes identified in the hippocampus of mice treated with iluzanebart were exemplary of TREM2 activation and were related to cell proliferation, regulation of inflammatory processes, and innate immune response pathways. Proliferation of microglia, changes in protein levels of specific chemokines identified by gene expression analysis, and increased CSF1R levels were also confirmed in vivo. These findings demonstrate that iluzanebart is a potent and selective TREM2 agonistic antibody, with pharmacology that supports the hypothesis that TREM2 activation can compensate for CSF1R dysfunction and its continued clinical development for individuals with CSF1R-ALSP.
Transcription Factor Networks and Novel Immune Biomarkers Reveal Key Prognostic and Therapeutic Insights in Ovarian Cancer
Authors: Zhao Aiqin , Zhou Sufang , Yang Xiaoyi , Lu Haying , Zou Dan , Zhang Xuan , Liu Li 
Published: December 2024

Abstract

Background
Understanding the tumor microenvironment (TME) is crucial for advancing immunotherapy in ovarian cancer (OC). However, predicting transcription factor (TF) regulation within the TME using single-cell RNA sequencing (scRNA-seq) data remains challenging.
Methods
We applied the SCENIC method to explore TF regulation in the OC TME. A risk model was constructed using Lasso regression, and immunological subgroups were identified through ConsensusClusterPlus. To assess the predictive power of the risk model regarding the tumor immune microenvironment, we calculated stromal, immune, estimate scores, and tumor purity. Additionally, the expression and function of the genes within the risk model were analyzed.
Results
We identified six immune-related malignant cell subpopulations (TC0-6) within the cancer immune microenvironment. TC0 exhibited a distinct immune profile, showing the strongest interactions with immune cells. A meta-gene analysis of TC0, based on the top 30 targets of 14 TFs, revealed two molecular subtypes (C1 and C2) with significant survival differences. Among the genes identified, JCHAIN and UBD function as tumor suppressors, while RARRES1 acts as an oncogene.
Conclusion
This study established a 9-gene risk model to predict ovarian cancer prognosis. Additionally, JCHAIN, UBD, and RARRES1 were identified as novel immune-related biomarkers for OC, providing new insights for future immunotherapy strategies.
Pediatric Cerebral Infarction Unraveled: A Case of MTHFR Mutation and Hyperhomocysteinemia-Case Report
Authors: Yu Diao , Huang Yuran , Hu Chengyuan , Xian Xiaohu , Liu Jinlin , Hu Lan 
Published: December 2024

Abstract

Background
Cerebral infarction in children without underlying diseases is rare, and its causes are complex.
Case presentation
We present a case of a 14-year-old boy who experienced left limb weakness and slurred speech for 5 days. MRI revealed cerebral infarction in the bilateral occipital lobes and right centrum semiovale, with high homocysteine levels. He was diagnosed with cerebral infarction due to hyperhomocysteinemia and treated with anticoagulation. While his symptoms resolved, homocysteine levels remained elevated after 3 months. Genetic testing identified an MTHFR mutation, leading to a treatment adjustment that included betaine, riboflavin, pyridoxine, folate, and hydroxocobalamin. Following 3 months of this new regimen, the patient fully recovered, with normalized homocysteine levels.
Conclusions
Hyperhomocysteinemia caused by MTHFRmutations should be considered in young patients with unexplained cerebral infarction. The supplementation with betaine, riboflavin, pyridoxine, folate, and hydroxocobalamin was beneficial in decreasing homocysteine levels.
Association between body temperature measurement methods and 28-day and 1-year Mortality in critically sepsis patients: A Retrospective Cohort Study
Authors: Zhang Yaqing , Ni Chen , Hao Cuiping , Liu Hongmei , Ni Mingde , Hu Chunying 
Published: December 2024

Abstract

Accurate temperature measurement is essential for efficient treatment of patients with sepsis since they often display abnormal body temperatures. Here, the relationships between temperature measurement methods and mortality in sepsis patients were investigated. Data from the MIMIC-IV database were used in a retrospective cohort design, focusing on primary outcomes of 28-day and 1-year mortality. The hazard ratio (HR) and 95% confidence interval (Cl) were computed using multivariate Cox regression analysis. Overall, 21,391 sepsis patients requiring critical care were analyzed, of whom 57.4% were male. After adjusting for all covariates, multivariable Cox analysis indicated markedly increased mortality risk when temperatures were measured orally (28-day mortality: HR = 3.66, 95% CI [2.82, 4.76]; 1-year mortality: HR = 3.69, 95% CI [3.07, 4.43]), esophageally (28-day mortality: HR = 4.99, 95% CI [3.44, 7.24]; 1-year mortality: HR = 4.08, 95% CI [2.99, 5.57]), rectally (28-day mortality: HR = 5.19, 95% CI [3.90, 6.92]; 1-year mortality: HR = 5.02, 95% CI [4.07, 6.20]), axillary (28-day mortality: HR = 4.99, 95% CI [3.81, 6.55]; 1-year mortality: HR = 4.61, 95% CI [3.81, 5.60]), and temporally (28-day mortality: HR = 4.09, 95% CI [3.76, 6.89]; 1-year mortality: HR = 4.82, 95% CI [3.86, 6.02]) compared to blood temperature measurements. This study demonstrates that various body temperature measurement methods are found to be associated with both 28-day and 1-year mortality in severely ill patients with sepsis.
Breast Cancer Classification Using Breast Ultrasound Images with a Hybrid of Transfer Learning and Bayesian-Optimized Fast Learning Network
Authors: Ahishakiye Emmanuel , Kanobe Fredrick 
Published: December 2024

Abstract

Background
Breast cancer remains the most frequent cancer diagnosed in females, resulting in high mortality rates worldwide. Approximately 2.3 million cases are diagnosed annually. If it is detected at an early stage, the rate of survival is significantly improved; therefore, there is an urgent need for techniques that can be used for its effective diagnosis.
Method
The study aimed to present a hybrid model for breast cancer classification by employing DenseNet201 as a feature extractor and Bayesian-Optimized Fast Learning Network (FLN) as a classifier. The pre-trained DenseNet201 extracts high-quality features from breast ultrasound images on large datasets, which get classified through an FLN optimized using Bayesian techniques for hyperparameter tuning.
Results
The model performed well by achieving an accuracy of 96.79%, 94.71% F1 score, 96.81% precision, and 93.48% recall, while the AUC for benign, malignant, and normal cases was found to be 0.96, 0.95, and 0.98, respectively. Cross-entropy loss metrics further validated the model on its robust training and validation.
Conclusion
There is a great potential that this proposed model could enhance breast cancer diagnosis. This indeed is a reliable and efficient clinical solution for application.
Development and Validation of a Dynamic Nomogram for Predicting Cognitive Impairment Risk in Older Adults with Dentures: Analysis from CHARLS and CLHLS Data
Authors: Guo Tongtong , Zhao Xiaoqing , Zhang Xinyi , Xing Yang , Dong Zhiwei , Li Haiyan , Gao Runguo , Chen Shanquan , Zheng Wengui , Jing Qi 
Published: December 2024

Abstract

Background and Aims
Cognitive impairment is a common issue among the elderly, with denture use identified as a potential, easily recognizable clinical risk factor. However, the link between denture wear and cognitive decline in elderly Chinese adults remains understudied. This study aimed to develop and validate a dynamic nomogram to predict the risk of cognitive impairment in community-dwelling elderly denture wearers.
Methods
Participants were divided into development, internal, and external validation sets. The imbalanced data in the development set were first processed using the Synthetic Minority Over-sampling Technique (SMOTE), followed by predictor selection using the Least Absolute Shrinkage and Selection Operator (LASSO). A nomogram was then constructed to dynamically display and present the results. Receiver operating characteristic curve, sensitivity, specificity, accuracy, precision, F1 Score, calibration curve, and decision curve analysis were used to evaluate the validity of the model in terms of identification, calibration, and clinical validity.
Results
We identified five factors (age, residence, education, IADL, and depression) to construct the nomogram. The area under the curve of the prediction model was 0.854 (95%CI 0.839–0.870) in the development set, 0.841 (95%CI 0.805–0.877) in the internal validation set, and 0.856 (95%CI 0.838–0.873) in the external validation set. Calibration curves indicated significant agreement between predicted and actual values, and decision curve analysis demonstrated valuable clinical application.
Conclusions
Five factors were chosen as the final for the established nomogram in predicting the risk of cognitive impairment in older denture wearers. The nomogram has acceptable discrimination and can be used in the planning of preventive interventions for cognitive impairment among older denture-wearing populations by healthcare professionals and community health workers.
Inhibition of adipose tissue-derived fatty acid binding protein suppresses pancreatic cancer progression and metastasis
Authors: Shinoda Shuhei , Nakamura Naohiko , Inoko Kazuho , Sato-Dahlman Mizuho , Carmella Steven , Hecht Stephen , Bernlohr David A , Ikramuddin Sayeed , Yamamoto Masato 
Published: December 2024

Abstract

Background
Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive cancers, and obesity is a known risk factor for PDAC. Fatty acid binding protein 4 (FABP4) is noted to be higher in obese patients, and linked to the progression of obesity-related cancers. This study aimed to elucidate the role of FABP4 and the anticancer effect of FABP4 inhibition in PDAC using preclinical mouse models.
Methods
In mouse PDAC cells derived from genetic pancreatic cancer model with KRASG12D and p53 mutation, and human PDAC cell lines, we assessed cell viability, cellular proliferation, apoptosis, and invasion capability after FABP4 and/or FABP4 inhibitor (HTS01037) treatment. The antitumor effect of FABP4 inhibition was evaluated with syngeneic PDAC tumor in FABP4 null (AKO) mice as well as syngeneic and xenogeneic subcutaneous tumor models in mice treated with HTS01037. HTS01037 treatment was also tested in orthotopic as well as liver metastasis models. We analyzed epithelial-mesenchymal transition (EMT) and cancer stemness makers in vitro and vivo samples. In addition, efficacy of combination therapy of gemcitabine (GEM) plus HTS01037 was assessed in the syngeneic model.
Results
In vitro, HTS010137 suppressed FABP4-induced cell viability in human and murine PDAC cells. FABP4 increased cellular proliferation, and HTS01037 reversed the changes and increased apoptosis. FABP4 promoted migration and invasive potency, and increased EMT and stemness markers that were associated with up-regulation of EMT activating transcription factor ZEB1. Both FABP4 knockout and inhibition with HTS01037 suppressed the syngeneic subcutaneous tumor growth with reduction of EMT and stemness. Similar to the syngeneic tumors, the xenogeneic tumor growth was inhibited by HTS01037 treatment. HTS01037 showed significant anticancer and antimetastatic effect which improved the survivals in the orthotopic model. HTS01037 also attenuated development and growth of liver metastases in the liver metastasis model. Moreover, HTS01037 enhanced the efficacy of GEM to PDAC in vitro and in vivo.
Conclusion
FABP4 promoted the PDAC progression and FABP4 inhibition showed significant anticancer effect by suppressing cellular proliferation, EMT, and cancer stemness. FABP4 inhibitor has a promising translational value for PDAC treatment and can be a critical therapeutic option in PDAC patients.
Improving the Final Atmospheric Seal of Conserved Archaeological Iron from Marine Sites: A Case Study of Cannon Conservation in Louisiana
Authors: Dostal Christopher 
Published: December 2024

Abstract

The conservation of iron artifacts from marine archaeological sites faces persistent challenges due to post-recovery electrochemical corrosion. This study investigates the efficacy of a novel conservation treatment that combines microcrystalline wax with a paint overlay, aiming to improve the final atmospheric seal of conserved iron artifacts. The research was conducted at the Conservation Research Laboratory (CRL) at Texas A&M University, involving the treatment of two historically significant cannons with this dual-layer method. The cannons were exposed to controlled yet rigorous environmental conditions to test the durability and protective quality of the treatment. The findings indicate that the combined use of microcrystalline wax and paint significantly enhances corrosion resistance while maintaining the aesthetic and structural integrity of the artifacts under various climatic exposures. This paper discusses the experimental procedures, the resulting data, and the practical implications of this treatment, advocating for its application in both museum settings and outdoor displays. The study contributes a substantial advancement to conservation practices by offering a reversible and effective solution that upholds the historical value of the artifacts while extending their lifespan.
A study on genetic copy number variations reveals NLGN1 is over represented in primary angle closure glaucoma patients
Authors: Chakraborty Sudipta , Das Chitrarpita , V Thabitha Zelin Rachel. , Kaur Rattan , Das Purba , Sharma Anshul , Sharma Arundhati , Sihota Ramanjit , Biswas Nidhan K. , Acharya Moulinath 
Published: December 2024

Abstract

Introduction: Primary angle closure glaucoma (PACG) is one of the leading causes of blindness worldwide with a complex genetic etiology. For complex genetic disorders, copy number variation (CNV) is anticipated to play an essential role in disease vulnerability. The impact of CNVs on PACG has not been studied yet.
Methods: In India, ~30% of people show narrow angle but 0.5-1% of people actually develop PACG. To minimize heterogeneity, we performed a genome-wide CNV analysis between older (age ≥60 years) anatomically suspects (PACS) showing narrow angle <15° and PACG individuals having age ≤50 years to detect genetic factors responsible for glaucomatous neurodegeneration.
Results: We identified a recurrent amplification involving the genomics region of NLGN1 in PACG. Subsequently, quantitative PCR validated increased NLGN1 copy number in PACG compared to PACS and controls. Integrative bioinformatics revealed NLGN1's role in pathways associated with neurodegenerative and ocular diseases, its interactions with genes impacting glaucoma risk factors like intraocular pressure and optic nerve morphology, and regulatory genomic features in the amplified region potentially affecting NLGN1 expression.
Discussion: The amplification may induce synaptic defects in retinal neurons or developmental abnormalities in visual pathways, precipitating neurodegeneration. The findings provide compelling evidence linking NLGN1 copy number gains to PACG pathogenesis, suggesting NLGN1's potential relevance to glaucoma biology.
Evaluating Physiological Indicators in Detecting Deception and Truthfulness Using the Comparison Question Test
Authors: Rashid A M Shahruj , Carmichael Bryan , Su Charlize , Shi Keming , Lim Keefe , Poorvika Senthil Kumar , Wan Ngok Jeun , Govil Eshaan , Yap Dennis 
Published: December 2024

Abstract

Despite significant advancements in deception detection, traditional methods often fall short in real-world applications. This study addresses these limitations by evaluating the effectiveness of various physiological measures — pupil response, electrodermal activity (EDA), heart rate (HR), and facial temperature changes — in predicting deception using the Comparison Question Test (CQT). It also fills a critical research gap by validating these methods within an Asian context. Employing a between-subjects design, data was collected from a diverse sample of 118 participants from Singapore, including Chinese, Indian, and Malay individuals. The research aims to identify which physiological indicators, in combination, offer the most robust predictions of deceptive behavior. Key innovations include the adaptation of the CQT with a modified directed lie paradigm and an expanded sample size to assess the relative importance of each physiological measure. The study’s findings reveal that pupil response is the most significant predictor of deception, with EDA enhancing the model’s explanatory power. HR, while relevant, adds limited value when combined with pupil response and EDA, and facial temperature changes were statistically non-significant. The study highlights the need for further research into the interactions among physiological measures and their application in varied contexts. This research contributes valuable insights into improving deception detection methodologies and sets the stage for future investigations that could incorporate additional physiological indicators and explore real-world applications.