Psychological distress and emotional pain among adult attendees of a dental clinic: a case-control study by Adebayo Rasheed Erinfolami, Andrew Toyin Olagunju, Yewande Olufunmilayo Oshodi, Abiola Adelphine Akinbode, Babatunde Fadipe, Wasiu Lanre Adeyemo

Get full text

Lightweight object detection model for food freezer warehouses by Jiayu Yang, Zhihong Liang, Mingming Qin, Xingyu Tong, Fei Xiong, Hao An

“…Experiments conducted on the food freezer warehouse dataset demonstrate that the YOLOv8-RSS model reduced the parameter count by 0.05 M, decreased FLOPs by 0.8G, increased mAP@0.5 by 1.4%, and improved mAP@0.5:0.95 by 3.9%. …”
Get full text

A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…After introducing a large amount of uncertainty into a dataset, we normalize the data and finish training on clean data. …”
Get full text

Optimized Prediction of Weapon Effectiveness in BVR Air Combat Scenarios Using Enhanced Regression Models by Andre R. Kuroswiski, Annie S. Wu, Angelo Passaro

“…This study also provides a new open dataset to facilitate further research and advancements in this field.…”
Get full text

Hybrid generative adversarial network based on frequency and spatial domain for histopathological image synthesis by Qifeng Liu, Tao Zhou, Chi Cheng, Jin Ma, Marzia Hoque Tania

“…Experiments on the Patch Camelyon dataset show superior performance over eight state-of-the-art models across five metrics. …”
Get full text

WEIGHTED GENE CO-EXPRESSION NETWORK ANALYSIS IDENTIFIES BIOLOGICAL PATHWAYS AND BIOMARKER GENES ASSOCIATED WITH CHICKENS' ADAPTATION TO BOTH LOW AND HIGH ALTITUDES by Pshtiwan S.A. Bebane, Paiman Yousif, Sarbast I. Mustafa, Sami mamand

“… The main aim of the study was to identify modules, hub genes, and possible pathways linked with hypoxia adaptation in six types of tissues and organs (heart, kidney, liver, lung, muscle, and spleen) at altitudes ranging from 2,300 to 3,500 metersOn a transcription dataset from hypoxia-sensitive tissues, we performed weighted gene co-expression network analysis on 13,940 selected genes, and 10 transcriptional modules in total were detected (Turquoise 196 genes, Purple 27 genes, Blue 196, Brown 182, Yellow 108, Green 79 genes, Red 69 genes, Black 50 genes, Pink 44 genes, and Magenta 37 genes). …”
Get full text

Exploring the role of Microbiome in Susceptibility, Treatment Response and Outcome among Tuberculosis Patients from Pakistan: study protocol for a prospective cohort study (Micro-S... by Zia Ul-Haq, Muhammad Shahzad, Simon C Andrews

Get full text

Evaluation of serum leptin and adiponectin and their associations with obesity-related renal injury among Egyptian adolescents by Azza A El-Shaheed, Reham F. Fahmy, Nermine N. Mahfouz, Salwa R El-Zayat, Hiba Sibaii, Rehab S.I. Moustafa

Get full text

Integration of single-cell and bulk RNA-sequencing data to construct and validate a signature based on NK cell marker genes to predict immunotherapy response and prognosis in color... by Xiaoyu Qin, Wenjuan Xu, Jinxiu Wu, Ming Li

“…Two validation cohorts from the GEO dataset, comprising 124 and 201 samples respectively, were used. …”
Get full text

Identification of Senescence-Associated Biomarkers in Diabetic Glomerulopathy Using Integrated Bioinformatics Analysis by Li Zhang, Zhaoxiang Wang, Fengyan Tang, Menghuan Wu, Ying Pan, Song Bai, Bing Lu, Shao Zhong, Ying Xie

“…Cluster analysis was employed to identify senescence molecular subtypes. A single-cell dataset was used to validate the above findings and further evaluate the senescence environment. …”
Get full text

Spatial transcriptomic analysis identifies epithelium-macrophage crosstalk in endometriotic lesions by Gregory W. Burns, Zhen Fu, Erin L. Vegter, Zachary B. Madaj, Erin Greaves, Idhaliz Flores, Asgerally T. Fazleabas

Get full text

AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis by Hocheol Lee, Myung-Bae Park, Young-Joo Won

“…Machine learning algorithms, including random forest, gradient boosting model, light gradient boosting model, extreme gradient boosting model, and k-nearest neighbors, were employed for analysis. The dataset was split into 70% training and 30% testing sets. …”
Get full text

Prevalence and Clinical Characteristics of Alopecia Areata at a Tertiary Care Center in Saudi Arabia by Aysha A. Alshahrani, Rawan Al-Tuwaijri, Zainah A. Abuoliat, Mesnad Alyabsi, Mohammed I. AlJasser, Rayan Alkhodair

Get full text

Serum Oxidative Stress-related Biomarkers in Ocular Hypertension and Glaucoma by Mine Esen Baris, Onur Furundaoturan, Meltem Kocamanoğlu, Seray Sahin, Yasemin Akçay, Suzan Güven Yılmaz

Get full text

Genetic risk factors associated with gestational diabetes in a multi-ethnic population. by Paula Benny, Hyeong Jun Ahn, Janet Burlingame, Men-Jean Lee, Corrie Miller, John Chen, Johann Urschitz

Get full text

Association of nonalcoholic fatty liver disease and growth hormone deficiency: a systematic review and meta-analysis by Tingting Kong, Yunpeng Gu, Lei Sun, Run Zhou, Jie Li, Junping Shi

Get full text

Climatic zoning of Xinjiang for heterogeneous production of high-quality wine by Xue Feng, Tang Xiang-ling

Get full text

Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania by Ngong'Ho Bujiku Sende, Snehanshu Saha, Leon Ruganzu, Saibal Kar

“…With regard to the evaluation metrics, we show that the Ensemble Learning Model has achieved the best performance modelling both balanced and unbalanced datasets. Our policy recommendations draw on the results of the algorithmic predictions.…”
Get full text

m5C‐TNKmer: Identification of 5‐Methylated Base Cytosine of Ribonucleic Acid Using Supervised Machine Learning Techniques by Shahid Qazi, Dilawar Shah, Mohammad Asmat Ullah Khan, Shujaat Ali, Mohammad Abrar, Asfandyar Khan, Muhammad Tahir

“…This study introduces a novel computational model m5C‐TNKmer, which utilizes k‐mer feature extraction to enhance the identification of m5C sites in RNA sequences. Four sub‐datasets derived from the primary dataset Di‐nucleotide (DNC), Tri‐nucleotide (TNC), Tetra‐nucleotide (Tetra‐NC), and Penta‐nucleotide (Penta‐NC) were used to train the model. …”
Get full text

Blood Transcriptional Signatures for Disease Progression in a Rat Model of Osteoarthritis by Michał Korostyński, Natalia Małek, Marcin Piechota, Katarzyna Starowicz

“…The mRNA abundance levels of the identified transcripts were further analyzed in publicly available gene expression dataset obtained from a GARP study cohort of OA patients. …”
Get full text