bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tree-based machine learning and global models for long-term rainfall estimation: intercomparison and evaluation over Bahir Dar, Ethiopia
Authors: Yirga Getnet , Raju U. Jaya Prakash , Gedifaw Assaye , Nigusie Ayanew 
Published: February 2025

ABSTRACT

This study aims to provide an efficient and accurate model by comparing the tree-based machine learning approach and the global prediction model with the European Center for Medium Weather Forecast (ECMWF) model for predicting long-term rainfall. Light gradient boosting (LGB) and regression tree (RT) tree-based machine learning algorithms are utilized in this study and compared with the global model. Local metrological parameters such as relative humidity, dew point temperature, minimum temperature, maximum temperature, wind speed, convective available potential energy, and sunshine and large-scale climate variable (sea surface temperature) were used as input during model development. Initially, the database was preprocessed and then partitioned into a training set and a testing set. GridsearchCV technique was used for tuning the parameters of the models. For daily rainfall variation, LGB exhibits strong performance with the highest coefficient of determination (R2 = 0.991; 0.996), lowest root mean squared error (RMSE = 1.14 mm; 0.383 mm), lowest mean squared error (MSE = 1.992; 0.146), and lowest mean absolute error (MAE = 0.899 mm; 0.302 mm) for daily and monthly time scales. For both temporal variations, the LGB model shows significantly higher accuracy than both RT and ECMWF. Relative humidity is the most influential meteorological parameter for rainfall prediction identified by the important random forest (RF) feature with a value of 0.4129. An agricultural decision support system that is still in development will incorporate the suggested models in Ethiopia.
Temporal analysis of the Hooghly River's water quality: investigating pre- and post-monsoon scenarios in West Bengal, India
Authors: Shamim Farzana , Chakraborty Barna 
Published: February 2025

ABSTRACT

This research aimed to investigate the influence of ferry operations and religious activities on the water quality of the Hooghly River in Kolkata, West Bengal, during 2022, while pinpointing pollution hotspots and suggesting mitigation strategies. As a crucial distributary, the Hooghly River is significantly impacted by human activities, particularly near ferry terminals and pilgrimage locations. Water samples (4 L) were taken from eight critical sites during pre- and post-monsoon periods at high tide, concentrating on important physico-chemical and biological attributes. Though pre-monsoon water quality largely adhered to BIS guidelines, heightened chemical oxygen demand and total coliform (TC) levels indicated potential pollution hotspots, likely caused by ferry movements and religious gatherings. Post-monsoon data revealed acceptable pH and temperature ranges but flagged concerns due to increased biochemical oxygen demand and TC counts, especially in high-traffic zones. The water quality index varied between 213 and 282, with a higher pre-monsoon value of 282 and a post-monsoon value of 213, primarily influenced by total dissolved solids, hardness, alkalinity, and conductivity. The comprehensive pollution index ranged from 1.30 to 1.33, surpassing the acceptable limit. These assessments reveal the impact of ferry and religious activities on the Hooghly River's water quality, stressing the need for targeted pollution control.
Construction of a Subcutaneous Fat Transplantation Model Infected with Mycobacterium
Authors: Diao Wuliang , Hu Yang , Chen Xiangyu , Li Weidong , Kpegah Julius K.S.K. , Chen Xuan , Wang Mingzhu , Zhou Jianda , Li Ping 
Published: February 2025

Introduction:
Fat grafting procedures for body contouring and cosmetic reconstruction
have received widespread attention.

Method:
In recent years, there has been an increase in post-fat grafting infections caused
by Mycobacterium abscessus (MA), and there is a lack of representative and standardized
murine models of infection; therefore, there has been limited research on the
treatment of post-fat grafting MA infections. To overcome this challenge, we constructed
an MA infection model after fat grafting.

Result:
By evaluating skin charge, dermatopathology, and inflammatory markers, we
found that the fat graft + 1 × 109 CFU/mL bacterial suspension infection group had significant
inflammatory symptoms and elevated inflammatory factors on postoperative day
10.

Conclusion:
The model construction process was simple and reproducible, which paves
the way for further studies on the impact of MA pathogenesis and the efficacy of new
treatments.
Systems Biology Approach to Unraveling Transcriptomic Mechanisms of Ganfule Capsules in Ameliorating Nonalcoholic Fatty Liver Disease
Authors: Pan Yu , Zhang Yunkun , R Sooranna Suren R. , Yang Xiaonan , Zhou Yaqin , Chen Lu , Xu Fei , Huang Danna 
Published: February 2025

Aims:
The primary objective of this study is to explore the impact of Ganfule (GFL), a traditional
Chinese medicine, on differentially expressed genes (DEGs) linked to nonalcoholic fatty liver disease
(NAFLD). By identifying potential biomarkers, we seek to enhance GFL's clinical efficacy through targeted
pharmaceutical design.

Background:
NAFLD a prevalent liver disorder, is often associated with obesity and metabolic syndrome.
While GFL has demonstrated clinical efficacy in treating NAFLD, its precise targets and mechanisms of action
remain elusive. Understanding these mechanisms could pave the way for more effective treatments.

Objectives:
GFL, a long-standing traditional Chinese medicine (TCM), has demonstrated clinical effectiveness
in treating NAFLD. However, its precise targets and mechanism of action remain elusive. In this study,
we aim to explore GFL's impact on differentially expressed genes, which could potentially serve as biomarkers
for developing targeted therapies. This approach is intended to enhance GFL's clinical efficacy by
identifying key genes that respond to its treatment.

Methods:
To induce NAFLD, 23 Sprague-Dawley rats were fed a high-fat diet. These rats were then categorized
into three groups: normal diet (NOR), high-fat diet model (HFD), and those treated with GFL. Highthroughput
sequencing was employed to identify DEGs in their livers. Utilizing the STRING and DAVID
databases, we analyzed potential protein interactions expressed by these genes. Furthermore, the KEGG, Reactome,
and Wiki databases aided in determining their biological roles and signaling pathways. Key DEGs'
mRNA expression levels and corresponding proteins were further screened and confirmed through haematoxylin-
eosin staining (HE), immunohistochemistry (IHC), Real-Time Quantitative Reverse Transcription
Polymerase Chain Reaction (RT-qPCR), and western blotting.

Results:
Significant variations in DEGs were observed across the three groups, with 19 intersecting genes
identified within a cluster of 90 NAFLD-related genes. GFL was found to adjust the expression of nine core
DEGs, including Abcg1, Igfgb1, Lepr, Pdk4, Socs3, and Stat3. These genes-related proteins are tied to proteins
such as FABP4, LEPR, SCD1, SOCS3, and STAT3, which are intimately connected to adipocytokine
and adipogenesis pathways. Our study reveals that GFL modifies the expression of IGFBP1, LEPR, PDK4,
SCD1, and SOCS3, thereby regulating the adipocytokine, JAK-STAT, leptin-insulin signaling, and adipogenesis
metabolic pathways, respectively.

Conclusions:
This study enhances understanding of GFL's efficacy and identifies potential biomarkers for
NAFLD treatment. Optimizing GFL's efficacy and elucidating its mechanism provides a methodological reference
for traditional Chinese medicine exploration.
Research on Neuroimmune Gastrointestinal Diseases Based on Artificial Intelligence: Molecular Dynamics Analysis of Caffeine and DRD3 Protein
Authors: Qin Yi , Huo Shuran , González Ana María , Guo Lizhong , Santos Javier , Li Liangyu 
Published: February 2025

Objectives:
The aim of this study was to develop a clinical application model for the rational use
of caffeine.

Background:
Caffeine is related to the incidence of neuro immune gastrointestinal diseases. Coffee consumption
needs to be optimized in order to reduce the incidence rate.

Purpose:
By using KEEG analysis to explore potential molecular signaling pathways involved in the progression
of neurological immune gastrointestinal diseases, and analyzing the details of this signaling Pathway
using molecular simulation results, which can support AI system for doctor.

Methods:
The research team designed a controlled experiment to analyze the differences in reward and reinforcement
of Brain pleasure/addiction and dopamine related signaling pathways function between multiple
groups of people with different coffee drinking habits and a blank control group. The study team used molecular
dynamics methods to investigate the signaling route that links coffee with the binding of dopamine
receptor D3.AI is used to predict the prevalence of gastric reflux disease.

Results:
Human experiments have shown a correlation between caffeine intake and gastroesophageal reflux
disease. AI algorithm results can provide clinical support, and molecular simulation results are consistent
with human experimental results. Caffeine and DRD3 protein have a stable interaction system.

Conclusion:
The research team elucidated the intermolecular interaction between caffeine and DRD3, and
AI algorithms can predict the likelihood of disease occurrence, providing a new strategy for clinical practice.
This study has passed ethical approval at Chifeng Cancer Hospital, and the ethical documents for this study
have been submitted to the World Health Organization for filing.
I-Brainer: Artificial intelligence/Internet of Things (AI/IoT)-Powered Detection of Brain Cancer
Authors: Ibrahim Abdullahi Umar , Nwaneri Ikedichukwu Onyemaucheya , Vubangsi Mercel , Al-Turjman Fadi 
Published: February 2025

Background/Objective:
Brain tumor is characterized by its aggressive nature and low survival rate and therefore, it is regarded as one of the deadliest diseases. Thus,
misdiagnosis or miss-classification of brain tumors can lead to miss-treatment or incorrect treatment and reduce survival chances. Therefore, there
is a need to develop a technique that can identify and detect brain tumors at early stages.

Methods:
Here, we proposed a framework titled I-Brainer which is an Artificial Intelligence/Internet of Things (AI/IoT)-powered classification of MRI into 4
classes. We employed a Br35H+SARTAJ brain MRI dataset which contains 7023 total images including no tumor, pituitary, meningioma, and
glioma. To accurately classify MRI into 4 classes, we developed the LeNet model from scratch, and implemented 2 pre-trained models which
include EfficientNet and ResNet-50 as well as feature extraction of these models coupled with 2 Machine Learning (ML) classifiers namely; k-
Nearest Neighbours (KNN) and Support Vector Machine (SVM).

Results:
Evaluation and comparison of the performance of the 3 models have shown that ResNet-50 achieved the best result in terms of AUC (99%) and
ResNet-50-KNN ranked higher in terms of accuracy (94%) on the testing set.

Conclusion:
This framework can be harnessed by patients residing in remote areas and as a confirmatory approach for medical experts.
Exploring Structural Requirement of Curcumin-Based CK2 Inhibitors as
Anticancer Agents: 3D-QSAR, Pharmacophore Modeling, Virtual
Screening, and Molecular Docking
Authors: Fatima Firdous , Nema Priyanshu , Garhwal Anushka , Kashaw Sushil Kumar 
Published: February 2025

Introduction:
Casein Kinase 2 (CK2), discovered as one of the earliest protein kinases,
is a ubiquitous Ser/Thr protein kinase-specific to acidic environments. CK2 has been implicated in
regulating diverse cellular processes and has been linked to the onset of various diseases, including
cancer.

Method:
Consequently, modulating CK2 function has emerged as a potential therapeutic strategy.
However, currently, available CK2 inhibitors or modulators often lack sufficient specificity and
potency

Results:
The results were validated through QSAR of curcumin derivatives, Pharmacophore modeling, virtual screening performed for filtered curcumin-like featured derivatives from the database,
and Molecular Docking approaches. Since there is a solved crystal structure of high-resolution Xray crystal structures of Human protein kinase CK2 alpha in complex with ferulic aldehyde.Results: The results were validated through QSAR of curcumin derivatives, Pharmacophore modeling, virtual screening performed for filtered curcumin-like featured derivatives from the database,
and Molecular Docking approaches. Since there is a solved crystal structure of high-resolution Xray crystal structures of Human protein kinase CK2 alpha in complex with ferulic aldehyde.

Conclusion:
Also, structure-based virtual screening was performed against a total of 3253 compounds from different libraries, and only the top 4 best-hit compounds with exceptional docking
scores exceeding >-7 kcal/mol (more than 7 kcal/mol) were screened and analyzed. However, to
validate their therapeutic potential, these compounds require in-vitro evaluation to assess their CK2
targeting ability
Qi-Gui-Jian-Gu Decoction Accelerates Osteogenesis and Fracture Healing by Activating the Wnt/β-Catenin Signaling Pathway
Authors: Wu Siluo , Wang Jiayang , Luo Ziheng , Li Bifeng , Xu Liangliang , Hu Liuchao , Hu Rihe 
Published: February 2025

Background:
Qi-Gui-Jian-Gu decoction (QGJG), as a clinical empirical formula, has
clinical benefits in promoting bone formation, but the underlying mechanism for its application in
treating fractures has not been investigated.

Methods:
The potential therapeutic target and signaling pathway of QGJG for treating fractures
were analyzed by network pharmacology. In vitro, we used bone marrow mesenchymal stem cells
(MSCs) to evaluate osteogenic differentiation and mineralization by alizarin red staining, quantitative
real-time polymerase chain reaction (qRT-PCR), western blot (WB), and immunofluorescence
staining. In vivo, the 8w male SPF C57BL/6J mouse femoral fracture model was constructed,
and the therapeutic effects of QGJG were evaluated.

Results:
By network pharmacology analysis, we found that glycogen synthase kinase 3 beta
(GSK3β) was a potential therapeutic target of QGJG for treating fractures. The canonical Wnt signaling
pathway was selected as the potential molecular mechanism. QGJG was confirmed to upregulate
the mRNA levels of alkaline phosphatase (ALP) and bone morphogenetic protein 2 (BMP2),
thereby promoting osteogenic differentiation and mineralization. Mechanistically, QGJG inhibited
GSK3β while increasing p-Ser9-GSK3β to increase β-catenin protein expression and its nuclear
translocation, implying the activation of the canonical Wnt signaling pathway. In vivo,
QGJG administration promoted fracture healing, as demonstrated by the up-regulation of OPN
and Osx, and accelerated the progression of ossification at 2 and 3 weeks after surgery.

Conclusion:
QGJG promotes osteogenic differentiation and fracture healing by activating the
canonical Wnt pathway.
An Assessment of BHLHE40 Transcription Factor Level and its Target Cytokines in Patients with Rheumatoid Arthritis
Authors: Ghotloo Somayeh , Zamani Batol , Osatadian Amir-Reza , Marzhoseyni Zeynab 
Published: February 2025

Background:
Basic helix-loop-helix protein 40 (BHLHE40) can function as both a
transcriptional activator and repressor. Recent studies have reported its regulatory functions in T
helper (Th)1 and Th17 immune responses. Rheumatoid arthritis (RA) is an autoimmune inflammatory
disease in which joints are involved. Both Th1 and Th17 contribute to the pathogenesis of the
disease. In the present study, the levels of BHLHE40, interleukin 17 (IL-17), and interferon-gamma
(IFN-γ) were assessed in the RA patients.

Methods:
Two groups, including RA patients and healthy individuals, were included in the study.
The relative expression levels of BHLHE40, IL-17, and IFN-γ were quantified in peripheral blood
mononuclear cells (PBMCs) using real-time PCR.

Results:
The results showed that the level of BHLHE40 was significantly higher in RA patients
compared to the healthy control (P < 0.001) (11.1-fold increase). Accordingly, a significant increase
in the levels of IL-17 (8.1 folds increase) (P < 0.021) and IFN-γ (12.7 folds) (P < 0.001)
was observed.

Conclusion:
Evaluation of the expression level of BHLHE40 in RA patients showed a significant
increase. In line with the elevated level of BHLHE40, a significant increase in the expression level
of IL-17 and IFN-γ was also detected. These findings point to the possible role of BHLHE40 in
the disease course or severity by elevating the levels of inflammatory cytokines, including IL-17
and IFN-γ. Therefore, BHLHE40 might be considered either as a putative biomarker or as a candidate
for therapy in a variety of human diseases.
Improving the Utility, Safety, and Ethical Use of a Passive Mood-Tracking App for People With Bipolar Disorder Using Coproduction: Qualitative Focus Group Study
Authors: Astill Wright Laurence , Moore Matthew , Reeves Stuart , Vallejos Elvira Perez , Morriss Richard 
Published: February 2025

Background
Coproduction with users of new digital technology, such as passive mood monitoring, is likely to improve its utility, safety, and successful implementation via improved design and consideration of how such technology fits with their daily lives. Mood-monitoring interventions are commonly used by people with bipolar disorder (BD) and have promising potential for digitization using novel technological methods.

Objective
This study aims to explore how a passive behavioral monitoring platform, Remote Assessment of Disease and Relapse, would meet the needs of people with BD by specifically considering purpose and function, diversity of need, personal preference, essential components and potential risks, and harms and mitigation strategies through an iterative coproduction process.

Methods
A total of 17 people with BD were recruited via national charities. We conducted 3 web-based focus groups as a part of an iterative coproduction process in line with responsible research and innovation principles and with consideration of clinical challenges associated with BD. Data were analyzed thematically. Results were cross-checked by someone with lived experience of BD.

Results
Focus groups were transcribed and analyzed using thematic analysis. Six themes were identified as follows: (1) the purpose of using the app, (2) desired features, (3) when to use the app, (4) risks of using the app, (5) sharing with family and friends, and (6) sharing with health care professionals.

Conclusions
People with BD who are interested in using passive technology to monitor their mood wish to do so for a wide variety of purposes, identifying several preferences and potential risks. Principally, people with BD wished to use this novel technology to aid them in self-managing their BD with greater insight and a better understanding of potential triggers. We discuss key features that may aid this functionality and purpose, including crisis plans and sharing with others. Future development of passive mood-monitoring technologies should not assume that the involvement of formal mental health services is desired.
Peningkatan Pendapatan UMKM Melalui Penyusunan Laporan Keuangan di Desa Pematang Gajah Kecamatan Jambi Luar Kota Kabupaten Muaro Jambi
Authors: Sam Iskandar , Kusumastuti Ratih , Ridwan Muhammad , Lutfi Lutfi , Putra Dios Nugraha 
Published: February 2025

UMKM Usaha ritel mempunyai peran yang sangat penting dalam menopang perekonomian Indonesia. Namun belakangan ini bisnis ritel tradisional yang mayoritas dimiliki oleh individu masyarakat secara perlahan cenderung mengalami penurunan, tidak bisa bertahan dan bahkan mati karena kalah dengan pengusaha yang bermodal besar dan sebagian beralih kepada bisnis ritel modern. Hal ini dipengaruhi oleh perubahan yang terjadi pada masyarakat, terutama perubahan gaya hidup masyarakat dan terbukanya peluang oleh pemerintah, bisnis ritel modern masuk ke wilayah di Indonesia. Hal inilah menjadi pemicu perubahan usaha ritel tradisional menjadi usaha ritel modern. Seiring berkembangnya zaman, warung tradisional haruslah diorganisir dengan baik agar siap bersaing dengan munculnya pengusaha mini market berskala nasional dan bermodal besar.
Usulan program pembangunan ilmu pengetahuan dan teknologi yang akan dilakukan adalah pembinaan warung tradisional yang fokus pada penyuluhan, pelatihan dan pendampingan warung tradisional sehingga dapat meningkatkan pendapatan masyarakat dan mengurangi pengangguran yang ada saat ini di Desa Pematang Gajah, Kecamatan Jambi Luar Kota Kabupaten Muaro Jambi. Target kegiatan yang diajukan untuk membantu permasalahan mitra adalah Pelatihan, pendampingan, konsultasi usaha untuk mengembangkan sistem manajemen dasar, pencatatan pembukuan dan laporan keuangan sederhana serta pengembangan sistem pemasaran.

Kata Kunci : UMKM, Usaha Ritel, Pelatihan, Pendampingan, Penyusunan
Pembukuan, Laporan Keuangan, Manajemen Usaha, Ritel Modern, Peningkatan Pendapatan
Factors influencing treatment duration of impacted maxillary canines
Authors: Vasović Dina , Pajević Tina , Vučić Ljiljana , Glišić Branislav , Juloski Jovana 
Published: February 2025

ABSTRACT

Objectives
To determine factors associated with treatment duration in impacted maxillary canines (IMCs) using orthopantomography and cone beam computed tomography.

Materials and Methods
Seventeen linear and angular measurements were evaluated using pretreatment radiographic images of 64 patients (83 IMCs). Treatment duration from surgical exposure until the canine appeared in the oral cavity and until achieving ideal alignment were recorded in months.

Results
Average treatment duration until appearance in the mouth was 14.61 ± 9.28 months and 26.98 ± 12.44 months until ideal alignment. Buccally impacted canines emerged in 6.56 ± 3.24 months and were ideally aligned in 19.44 ± 8.49 months in comparison with palatally positioned at 16.34 ± 9.19 and 28.91 ± 12.77 months, respectively. Canines localized around lateral incisors had shorter treatment times than those localized around central incisors. Canines that were inclined &gt;30° to the sagittal medial line (SML) had significantly longer treatment time until initial appearance in the mouth (16.31 ± 9.32) compared with those inclined less (10.82 ± 8.92). Linear regression analyses demonstrated that these factors were predictors for both treatment duration until emergence and ideal alignment of the canine.

Conclusions
Treatment duration for IMCs is lengthy, particularly for palatally and mesially positioned canines and those with greater inclinations. Palatally located canines typically require twice as much time to emerge as those positioned buccally. Canines located nearer the central incisor area take twice as much time to emerge as those located in the lateral incisor area.
Indirection argumentative et mythologie grecque dans l’essai d’Albert Camus
Authors: Zemni Bahia , Jihene Beji  , Chaouch Zoubeir 
Published: February 2025

Les essais d’Albert Camus sont truffés de références mythologiques. L’invocation de la mythologie grecque, notamment, interpelle : entre l’illustration d’une pensée et l’étayage argumentatif d’un point de vue, le texte essayistique de Camus est jalonné de références mythologiques grecques multiples. Cela ne peut être fortuit et incite à rechercher les raisons d’une procédure appliquée au temps et à la civilisation « modernes ». Si on considère que le recours à la mythologie est une espèce d’expression indirecte, il y a lieu également de s’interroger sur la portée d’une parole directe. Quelle efficacité (ou inefficacité) peut avoir dans ce cas l’une et l’autre ?