bluuebunny/crossref_metadata_2025_split huggingface dataset:
APPLICATION OF DIFFERENTIAL TRANSFORMATION METHOD FOR SOLVING HIV MODEL WITH ANTI-VIRAL TREATMENT
Authors: Bunga Esther Y. , Ndii Meksianis Z. 
Published: February 2025

Mathematical models have been widely used to understand complex phenomena. Generally, the model is in the form of system of differential equations. However, when the model becomes complex, analytical solutions are not easily used and hence a numerical approach has been used. A number of numerical schemes such as Euler, Runge-Kutta, and Finite Difference Scheme are generally used. There are also alternative numerical methods that can be used to solve system of differential equations such as the nonstandard finite difference scheme (NSFDS), the Adomian decomposition method (ADM), Variation iteration method (VIM), and the differential transformation method (DTM). In this paper, we apply the differential transformation method (DTM) to solve system of differential equations. The DTM is semi-analytical numerical technique to solve the system of differential equations and provides an iterative procedure to obtain the power series of the solution in terms of initial value parameters. In this paper, we present a mathematical model of HIV with antiviral treatment and construct a numerical scheme based on the differential transformation method (DTM) for solving the model. The results are compared to that of Runge-Kutta method. We find a good agreement of the DTM and the Runge-Kutta method for smaller time step but it fails in the large time step
Proyecto huerto urbano: soberanía alimentaria y habilidades socioemocionales en una colonia vulnerable de Aguascalientes México
Authors: Hernández Herrera María Teresa , Aguilar Hernández Julieta , Domínguez-Soberanes Julieta , López-Anaya José Héctor , Medrano-Medina Diego 
Published: February 2025

Introducción: El artículo muestra los resultados a partir del taller de huertos urbanos en una colonia vulnerable de Aguascalientes. La literatura muestra que proyectos que involucran los ODS, así como la innovación educativa requieren de la participación de la comunidad para lograr la efectividad planteada. Metodología: La metodología que se siguió es Investigación Acción Participativa (IAP), a partir de un taller para dos grupos de niñas entre 6 y 12 años. Se llevaron a cabo actividades que cumplían con dos objetivos. Aquellos relacionados con la soberanía alimentaria y aquellos con el desarrollo personal y comunitario. Resultados: Se muestra el desarrollo de concientización sobre la soberanía alimentaria con aprendizajes en cuanto a la distinción entre sembrar, plantar y germinar, la planificación y ejecución de la siembra y aquellos relacionados con el desarrollo personal y comunitario, específicamente enfocados en el plano afectivo y en la autonomía y la responsabilidad. Discusión: Se muestra que la soberanía alimentaria debe estar anclada con experiencias y desarrollo personal para que realmente exista una participación significativa. Conclusiones: reflexión sobre las implicaciones de talleres que sensibilicen a sus participantes en cuanto a la soberanía alimentaria y a su vez promuevan el desarrollo integral de sus participantes.
The Role of Islamic Society in the Ecological Management and Sustainable Development
Authors: Susetyo Budi , Wibowo Rimun , Ar Radi Mohammad , Taqwa Hafiz 
Published: February 2025

The phenomenon of environmental damage is a very serious global issue and an increasingly complex problem. This damage is due to the exploitation of excess economic value without considering future sustainability (over exploitation). This happened after humans practiced the capitalist economy while ignoring Islamic values. Various efforts to overcome this environmental damage have been carried out, including various policies and regulations that regulate human activities in interacting with their environment as measured by the achievements of SDG's (Sustainable Development Goal's). Experts have also tried various applications of concepts and theories as well as models of approaches and technologies that are possible to overcome the problem. These efforts so far have not significantly paid off, in fact, tending to increase the level of environmental damage. The idea of returning to the application of religious values and spirituality is one of the alternatives that needs to be applied through a holistic approach. The purpose of writing this article is to develop a model of the role of Islamic society in environmental management and sustainable development. Exploratory methods are used to map the role of Islamic communities in environmental restoration and rehabilitation movements, eco-islamic boarding school, and non-governmental organizations that are active in the community and also through Islamic dawah content. The results showed that there is a significant role that can be used as a role model, so that it can be replicated by other Islamic societies around the world.
Central Role in Social Interaction and Maintenance of Local Culture in the Widal Language Heritage of Sukabumi City
Authors: Muhamad Guntur Muntaha  , Moh.Dulkiah  , Chisa Belinda Harahap  
Published: February 2025

Abstrak
Penelitian ini mengungkap fenomena budaya Indonesia melalui bahasa Widal Sukabumi di Tipar Kota Sukabumi, Jawa Barat, dengan menyoroti peran bahasa ini dalam interaksi sosial dan budaya lokal. Penelitian ini bertujuan untuk mengungkap peran bahasa Widal dalam menjaga budaya lokal, melacak pola interaksi sosial di masyarakat Tipar Sukabumi, dan mengidentifikasi jejak budaya Indonesia yang tercermin dalam struktur kebahasaan Widal Sukabumi.Metode kualitatif digunakan dengan wawancara penutur asli bahasa Widal, kajian literatur, dan video didokumentasikan sebagai sumber data. Hasil penelitian menunjukkan bahwa bahasa Widal dibentuk sebagai bahasa sandi pada era Hindia-Belanda. Struktur bahasa ini mencerminkan jejak budaya nusantara dengan kosa kata lokal dan ekspresi tradisional. Bahasa Widal tidak hanya sebagai alat komunikasi, tetapi juga warisan budaya yang memperkuat solidaritas masyarakat. Keunikan pola interaksi di Tipar menciptakan struktur sosial karena bahasa Widal. Implikasi penelitian ini meningkatkan pemahaman tentang peran bahasa Widal sebagai warisan linguistik dan alat untuk mempertahankan interaksi sosial.

Kata Kunci : Bahasa Widal Sukabumi,Interaksi sosial,Warisan linguistik
KRISIS REGENERASI PENGRAJIN TENUN DI DESA TROSO
Authors: Azyu Saffana , Wijaya Atika 
Published: February 2025

Abstrak
Tenun Troso merupakan warisan budaya lokal Indonesia yang memiliki nilai estetika dan historis tinggi serta menjadi bagian penting dalam kehidupan sosial, budaya, dan ekonomi masyarakat Desa Troso. Namun, tradisi ini menghadapi tantangan berupa krisis regenerasi pengrajin. Tujuan dari penelitian ialah untuk menjelaskan faktor-faktor yang menyebabkan berkurangnya minat generasi muda terhadap profesi pengrajin tenun di Desa Troso serta dampak yang terjadi. Metode penelitian yang digunakan adalah jenis penelitian deskriptif dengan pendekatan kualitatif. Subjek penelitian ini ialah pengrajin tenun Troso. Pemilihan informan dilakukan dengan menggunakan teknik purposive sampling. Teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi. Analisis data dilakukan dengan mengikuti model Miles dan Huberman yang meliputi tiga tahap, yaitu reduksi data, penyajian data, serta penarikan kesimpulan. Peneliti menggunakan teori pilihan rasional oleh James S. Coleman untuk menganalisis permasalahan dalam penelitian ini. Hasil penelitian menunjukkan bahwa faktor-faktor yang menyebabkan krisis regenerasi ini adalah munculnya alternatif pekerjaan lain, perubahan pola pikir generasi muda, minimnya dukungan keluarga, serta menenun dianggap rumit dan membutuhkan waktu lama untuk menguasainya. Adapun dampak dari krisis ini meliputi penurunan jumlah tenaga kerja terampil, serta ancaman punahnya tradisi tenun Troso. Dengan memanfaatkan temuan dalam penelitian ini, maka diperlukan strategi untuk menciptakan keseimbangan antara melestarikan tradisi dan memenuhi kebutuhan ekonomi serta perkembangan zaman.

Kata Kunci : Generasi Muda, Krisis, Regenerasi, Tenun Troso, Tradisi
Diastolic dysfunction of the left ventricle in HIV-infected patients, clinical and prognostic relationships
Authors: Goryacheva O. G. 
Published: February 2025

Diastolic dysfunction in HIV-infected patients is a common problem, the pathway of which is based on chronic low-intensity inflammation, and whose consequences are associated with progression of chronic heart failure (CHF) and death. The aim of the study was to evaluate clinical, echocardiographic and laboratory data of patients with diastolic left ventricular myocardial dysfunction infected with HIV and to present new prognostic relationships. Within the framework of a one-stage, screening, clinical study in the conditions of a multidisciplinary clinic, 240 patients with HIV infection were examined, and 136 of them showed signs of diastolic dysfunction. The development of diastolic dysfunction in HIV-infected patients is a factor provoking the development and progression of CVD, ventricular rhythm disturbances, ischemic heart disease, and anemia. Diastolic dysfunction in HIV-infected patients increases the risks of death within 2 years by 1.46 times. Increase of NT-proBNP concentration in plasma of HIV-infected patients ≥ 185.7 pg/mL is associated with the development of diastolic dysfunction in them.
Pathogenesis and therapeutic applications of microglia receptors in Alzheimer’s disease
Authors: Fu Jiao , Wang RuoXuan , He JiHui , Liu XiaoJing , Wang XinXin , Yao JuMing , Liu Ye , Ran ChongZhao , Ye QingSong , He Yan 
Published: February 2025

Microglia, the resident immune cells of the central nervous system, continuously monitor the brain’s microenvironment through their array of specific receptors. Once brain function is altered, microglia are recruited to specific sites to perform their immune functions, including phagocytosis of misfolded proteins, cellular debris, and apoptotic cells to maintain homeostasis. When toxic substances are overproduced, microglia are over-activated to produce large amounts of pro-inflammatory cytokines, which induce chronic inflammatory responses and lead to neurotoxicity. Additionally, microglia can also monitor and protect neuronal function through microglia-neuron crosstalk. Microglia receptors are important mediators for microglia to receive external stimuli, regulate the functional state of microglia, and transmit signals between cells. In this paper, we first review the role of microglia-expressed receptors in the pathogenesis and treatment of Alzheimer’s disease; moreover, we emphasize the complexity of targeting microglia for therapeutic interventions in neurodegenerative disorders to inform the discovery of new biomarkers and the development of innovative therapeutics
Cytotoxic KLRG1+ IL-7R- effector CD8+ T cells distinguish kidney transplant recipients controlling cytomegalovirus reactivation
Authors: Sun Yumeng , Sen Subha , Parmar Rajesh , Arakawa-Hoyt Janice , Cappelletti Monica , Rossetti Maura , Gjertson David W. , Sigdel Tara K. , Sarwal Minnie M. , Schaenman Joanna M. , Bunnapradist Suphamai , Lanier Lewis L. , Pickering Harry , Reed Elaine F. 
Published: February 2025

IntroductionCytomegalovirus (CMV) viremia remains a major contributor to clinical complications in solid organ transplant (SOT) patients, including organ injury, morbidity and mortality. Given their critical role in antiviral defense, CD8+ T cells are essential for protective immunity against CMV.MethodsUsing single-cell RNA sequencing, we investigated the transcriptional signatures and developmental lineages of CD8+ T cells in eight immunosuppressed kidney transplant recipients (KTRs) who received organs from CMV-seropositive donors. Results were validated in a cohort of 62 KTRs using immunophenotyping.ResultsOur data revealed a significant influence of CMV serostatus on transcriptional variance of CD8+ memory T cells, associating with the first principal component from a global analysis of CD8+ T cells (p =0.0406), forming a continuum with five principal differentiation trajectories driven by CMV primary infection or reactivation. Following CMV primary infection, CD8+ T cells were hallmarked by restrained effector-memory differentiation. CD8+ T cells during CMV reactivation diverged non-linearly into senescent-like cells with signatures of arrested cell cycle, diminished translational activity and downregulated ZNF683 and longitudinally expanding effector cells with robust cytotoxic potential and upregulated ZNF683, acting as a reservoir for long-lived effector cells supporting long-term protection. Notably, CD28lo KLRG1hi IL-7R (CD127)lo HLA-DRhi CD8+ T cells present prior to the detection of viremia in CMV-seropositive patients emerged as a key feature distinguishing patients who did or did not undergo CMV reactivation after prophylaxis discontinuation (p =0.0163). Frequencies of these cells were also positively correlated with CMV-stimulated secretion of IFN-γ (p =0.0494), TNF-α (p =0.0358), MIP-1α (p =0.0262), MIP-1β (p =0.0043).DiscussionThese results provide insights into the transcriptional regulation that influences the generation of CD8+ T cell immunity to CMV and may inform strategics for monitoring host immune response to CMV to better identify and introduce therapeutic intervention to patients at risk of developing clinically significant CMV viremia.
Stools from a human APOEe2 donor reduces amyloid and tau pathology and increases neuroinflammation in a 3xTg AD mouse model
Authors: Marizzoni Moira , Tournier Benjamin B. , Chevalier Claire , Saleri Samantha , Lathuilière Aurélien , Ceyzériat Kelly , Paquis Arthur , Park Rahel , Troesch Emma , Cattaneo Annamaria , Millet Philippe , Frisoni Giovanni B. 
Published: February 2025

BackgroundThe mechanisms underlying the protective effect of the e2 variant of the APOE gene (APOEe2) against Alzheimer’s disease (AD) have not been elucidated. We altered the microbiota of 3xTgAD mice by fecal microbiota transplantation from a human APOEe2 donor (e2-FMT) and tested the effect of microbiota perturbations on brain AD pathology.MethodsFMT of bacteria isolated from stools of untreated 3xTgAD mice (M-FMT) or e2-FMT were transplanted in 15-month-old 3xTgAD mice. FMT was done alone or in combination with antibiotic and proton-pump inhibitor following the Microbiota Transfer Therapy protocol (MTT). The effect of donor (M or e2) and transplantation protocol (FMT or MTT) on hippocampal amyloid, tau pathology and neuroinflammation were assessed at the end of the treatment.Resultse2-FMT reduced amyloid, and tau pathology as well as increased neuroinflammation as compared with M-FMT. MTT was associated with reduced number of Aβ40+ plaques and tau pathology. Low levels of amyloid were associated with high levels of pro-inflammatory molecules in e2-FMT mice. These associations were partially attenuated by MTT.ConclusionBacteria from a human APOEe2 donor reduced AD pathology and increased neuroinflammation in mice suggesting that the gut microbiota may be a mediator of the protective effect of APOEe2.
Identification of Codonopsis Radix from different origins based on odor information
Authors: Guo Xingyu , Yang Ruiqi , Wang Jiayu , Wang Yushi , Yu Shulin , Zou Huiqin , Yan Yonghong 
Published: February 2025

IntroductionCodonopsis Radix, a natural plant with edible and medicinal functions, is in high demand and cultivated in different regions. The place of origin affects the quality. However, environmental factors such as soil, climate, and altitude all have an impact on its quality. Therefore, identification of geographical origins of Codonopsis Radix is very important.MethodsThis study used High Performance Liquid Chromatography (HPLC) fingerprint and Electronic Nose (E-nose) technology to identify the origin information of Codonopsis Radix. HPLC fingerprint can fully reflect characteristics of chemical components in Codonopsis Radix and provide a reliable chemical basis for identification of origins, while E-nose technology captures and analyzes volatile odor of Codonopsis Radix by simulating human olfactory system, which realizes rapid identification of origin information. In order to reveal origin of special aroma of Codonopsis Radix in a deeper way, we further employed Solid Phase Micro-extraction Gas Chromatography-mass Spectrometry (SPME-GC-MS) technique to elucidate the volatile substances of unique aroma.ResultsOdor information could replace chemical components to achieve the identification of Codonopsis Radix geographical origins and Hexanal might be a key volatile compound in Codonopsis Radix from different geographical origins.DiscussionThis research indicated that Codonopsis Radix from different origins can be identified by odor information, which not only enriched index system for quality evaluation of Codonopsis Radix, but also provided new ideas and methods for origin identification of same type of plants.
Develop a prognostic and drug therapy efficacy prediction model for hepatocellular carcinoma based on telomere maintenance-associated genes
Authors: Zheng Jian-Hao , Shi Ding , Chen Yun-Jie , Liu Jian-Ping , Zhou Zheng 
Published: February 2025

BackgroundHepatocellular carcinoma (HCC) poses a substantial global health challenge because of its grim prognosis and limited therapeutic options. Telomere maintenance mechanisms (TMM) significantly influence cancer progression, yet their prognostic value in HCC remains largely unexamined. This research aims to establish a telomere maintenance-associated genes(TMGs)-based prognostic model using transcriptomic and clinical data to evaluate its effectiveness in predicting patient outcomes in HCC.MethodsThe identified differentially expressed genes (DEGs) were derived from the analysis of transcriptomic and clinical information sourced from the database of the Cancer Genome Atlas (TCGA) and were cross-referenced with TMGs. Candidate risk factors were initially assessed using univariate Cox regression, subsequently followed by LASSO, and then refined through multivariate Cox regression to establish a risk prediction model. This model’s predictive accuracy was validated through Kaplan-Meier(K-M) survival analysis, with external validation in the Gene Expression Omnibus (GEO) dataset. Additionally, a nomogram incorporating age and tumor stage was developed. Tumor mutation burden (TMB), immune profile, and drug sensitivity in HCC were also analyzed. Furthermore, we employed RT-PCR to confirm the expression levels of the genes related to TMGs in HepG2 cell lines.ResultsA prognostic model comprising 3 core genes was constructed, with high-risk individuals showing significantly lower overall survival (OS). The association between elevated TMB and diminished survival in high-risk patients was uncovered through TMB analysis. Immune profiling indicated notable disparities in immune infiltration among these groups, with high-risk patients displaying elevated Tumor Immune Dysfunction and Exclusion (TIDE) scores, suggesting potential immune evasion.ConclusionIn short, our prognosis model based on TMGs effectively categorized HCC patients using risk scores, enabling dependable prognostic forecasts and identification of potential therapeutic targets for personalized treatment in HCC management. Future studies should explore integrating this model into clinical practice to improve patient outcomes.
Academic performance, self-reported motivation, and affect in higher education: the role of basic psychological need satisfaction
Authors: González-Arias Mauricio , Dibona Paula , Soto-Flores Benjamín , Rojas-Puelles Andrés , Amato Massimo , Álvarez-Trigo Diego , Castillo Rodrigo 
Published: February 2025

IntroductionHigher education is a milestone in students’ lives; however, it often comes with various challenges. In this context, Basic Psychological Needs Theory emerges as a framework to understand a series of significant factors that influence students’ academic experiences, such as motivation and affect. Although there are studies that assess the association between basic psychological needs (BPN), motivation, affect and academic performance separately, there is a lack of research integrating all these variables in a higher education context. The first objective of the study was to evaluate the differences in BPN satisfaction, positive and negative affect, and academic performance between the courses perceived as the most motivating and those perceived as the least motivating. The second objective of the study was to examine the relationship between the studied variables.MethodsThis non-experimental cross-sectional study included a sample of 148 higher education students from Chile. Paired sample t-tests were performed to compare the levels of the study variables between the courses, followed by structural equation modeling (SEM).ResultsFindings for the t-tests reveal that courses considered the most motivating showed higher positive affect, lower negative affect, higher BPN satisfaction, and better academic performance. Results obtained through the SEM show that BPN satisfaction has an indirect effect on academic performance, mediated by affect and self-reported motivation. In addition, a direct effect from negative affect to academic performance was found.DiscussionThese results contribute to a better understanding of how BPN satisfaction influences the academic performance of university students, and reinforce the usefulness of Self-determination Theory (SDT) in explaining motivational and affective phenomena in higher education.
Advanced machine learning techniques reveal multidimensional EEG abnormalities in children with ADHD: a framework for automatic diagnosis
Authors: Mao Ying , Qi Xuchen , He Lingyan , Wang Shan , Wang Zhaowei , Wang Fang 
Published: February 2025

IntroductionAttention deficit hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder that affects attention, impulse control, and multitasking abilities in children and adults. Understanding electroencephalography (EEG) characteristics of children with ADHD can provide new diagnostic tools and personalized treatment plans. This study aims to explore potentially promising EEG features using advanced machine learning techniques and feature selection technique (i.e., SHapley Additive exPlanations (SHAP) algorithm) to reveal brain function abnormalities between pediatric children with ADHD and healthy controls (HC) in a data-driven manner.MethodsMultidimensional EEG characteristics were extracted from multiple domain (including power spectral density (PSD), fuzzy entropy (FuzEn), and functional connectivity features of mutual information (MI)) using a publicly-available dataset. Then, four widely-employed machine learning algorithms (including random forest (RF), XGBoost, CatBoost, and LightGBM) were used for classification calculations, and the SHAP algorithm was then used to assess the importance of the contributing features to interpret the model’s decision process.ResultsThe results showed that the highest classification accuracy of 99.58% for pediatric ADHD detection was obtained with the CatBoost model based on the optimal feature subset of 206 features (PSD/FuzEn/MI = 53/5/148). According to the optimal feature subset statistics, there is an increase in the power of theta, alpha, and beta rhythms, an elevated power ratio between theta and beta (theta/beta ratio, TBR), and reorganization of whole-brain functional connectivity across all frequency bands in children with ADHD, primarily characterized by enhanced functional connectivity.DiscussionWe showed that EEG features was effectively extracted by machine learning methods, which could play a critical role in classification between pediatric ADHD and HC. These findings provide strong evidence for revealing the electrophysiological mechanisms through multidimensional EEG characteristics and move a step forward towards future automatic diagnosis of ADHD.