Machine Learning and Intelligent Diagnostics in Dental and Orofacial Pain Management: A Systematic Review by Taseef Hasan Farook, Nafij Bin Jamayet, Johari Yap Abdullah, Mohammad Khursheed Alam

“…A low agreement level between clinicians training the models was suggested to have a negative impact on the prediction accuracy. Reference comparisons found nonspecialized clinicians with less than 3 years of experience to be disadvantaged against trained models. …”
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Systematic review of the application of the Kidney Failure Risk Equation and Oxford classification in estimating prognosis in IgA Nephropathy by M. P. Toal, R. Fergie, M. P. Quinn, C. J. Hill, C. O’Neill, A. P. Maxwell

“…Both the KFRE and the IgAN Risk Prediction (IRP) tool (incorporating the OC) were highly accurate at predicting ESRD with a C-statistic of 0.90 and 0.91, respectively. …”
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Assessment of RANS Models for Milli-Channel Turbulent Flow in Drip Irrigation Emitter by Qi Feng, Qingzheng Li, Yaojun Li, Xuefeng Qiu, Jiandong Wang, Xingfa Huang

“…Although both RNG and RKE using SWF are viable for hydraulic performance prediction under high-flow rate conditions, the deviation of predicted flow rate reaches up to 25.46% under low-flow rate conditions. …”
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The Role of Coal Mechanical Characteristics on Reservoir Permeability Evolution and Its Effects on CO2 Sequestration and Enhanced Coalbed Methane Recovery by Hao Han, Shun Liang, Yaowu Liang, Xuehai Fu, Junqiang Kang, Liqiang Yu, Chuanjin Tang

“…The coupled thermo-hydro-mechanical (THM) model is established and then validated by primary production data, as well as being applied in the prediction of CO2/N2-ECBM recovery. The results show that the harder coal seam is beneficial to primary production, while the softer coal seam results in greater CO2/N2-ECBM recovery and CO2 sequestration. …”
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A new approach for evaluating maize transgressive segregants and their three-way cross potential in the S4 convergent breeding population by Nuniek Widiayani, Muhammad Fuad Anshori, Nasaruddin Nasaruddin, Muh Farid, Ifayanti Ridwan, Abd. Haris Bahrun, Muhammad Azrai, Amin Nur, Purnama Isti Khaerani, Willy Bayuardi Suwarno, Karlina Syahruddin, Naeem Khan, Majed A. Alotaibi, Mahmoud F. Seleiman

“…Based on the resulting study, the combination of ratio analysis, path analysis, best linear unbiased prediction, relative fitness, and selection indices is an objective approach to assessing the genetic potential of the S4 TS. …”
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Evaluation of Rainfall-Induced Accumulation Landslide Susceptibility Based on Remote Sensing Interpretation by Zhen Wu, Runqing Ye, Jue Huang, Xiaolin Fu, Yao Chen

“…To evaluate the susceptibility of accumulation landslides, we have equated evaluation factors to accumulation distribution prediction factors. Eight evaluation factors were extracted using multi-source data, including lithology, elevation, slope, remote sensing image texture features, and the normalized difference vegetation index (NDVI). …”
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Precise and interpretable neural networks reveal epigenetic signatures of aging across youth in health and disease by David Martínez-Enguita, Thomas Hillerton, Julia Åkesson, Daniel Kling, Maria Lerm, Mika Gustafsson

“…We showcased the practical applicability of this approach by identifying candidate mechanisms underlying the altered pace of aging observed in pediatric Crohn’s disease.DiscussionIn this study, we present a deep neural network epigenetic clock, named NCAE-CombClock, that improves age prediction accuracy in large datasets, and a suite of explainable neural network clocks for robust age classification across youth. …”
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Developing a semi-automated technique of surface water quality analysis using GEE and machine learning: A case study for Sundarbans by Sheikh Fahim Faysal Sowrav, Sujit Kumar Debsarma, Mohan Kumar Das, Khan Mohammad Ibtehal, Mahfujur Rahman, Noshin Tabassum Hridita, Atika Afia Broty, Muhammad Sajid Anam Hoque

“…The predictive framework leverages Google Earth Engine (GEE) and AutoML, utilizing deep learning libraries to create dynamic, adaptive models that enhance prediction accuracy. …”
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Late-onset first epileptic seizure and cerebral small vessel disease: role of juxtacortical white matter lesions by Adrian Nasca, Adrian Nasca, Leo Sokolovič, Leo Sokolovič, Oliver Koprda, Patrick Haage, Patrick Haage, Thorsten Schmidt, Juraj Kukolja, Juraj Kukolja

“…WML segmentation was performed on FLAIR images using the SPM based automated lesion prediction algorithm of the LST toolbox and careful manual adjustment. …”
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Two Small Peptides from <i>Buthus martensii</i> Hydrolysates Exhibit Antitumor Activity Through Inhibition of TNF-α-Mediated Signal Transduction Pathways by Mengshuang Zhu, Shanshan Zhang, Jiyang Tang, Hairong Hou, Lizhen Wang, Houwen Lin, Xuanming Zhang, Meng Jin

“…The small peptides (AK and GK) were identified using the LC-QTOF-MS-based approach. In silico prediction of therapeutic targets, MGC-803 cells and transgenic zebrafish models, and immunoblotting experiments were used to reveal the molecular mechanism of action of the peptides. …”
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Telomere Length and Oxidative Damage in Children and Adolescents with Autism Spectrum Disorder: A Systematic Review and Meta-Analysis by Leping Ma, Cui Liu, Ran Song, Yeping Qian, Feng Zhang

“…Conclusions: TL, 8-OHdG, TAC, HEL, 3-NT, and DT represent potential biomarkers for prediction of ASD in children and adolescents.…”
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The Role of PDGFs and PDGFRs in Colorectal Cancer by Roberta M. Manzat Saplacan, Loredana Balacescu, Claudia Gherman, Romeo I. Chira, Anca Craiu, Petru A. Mircea, Cosmin Lisencu, Ovidiu Balacescu

“…The aim of our study is to point out the diagnosis and prediction role of PDGF family and their receptors in colorectal carcinogenesis. …”
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Research on the movement process of erosion-denudation type debris flow in middle-low mountains based on particle algorithm model by Xiaofeng He, Yongfeng Gong, Jinkai Yan, Shichang Gao, Zheng He, Gang Zhang, Guorui Wang, Zhiyong Hu, Hui Wang

“…This study enhances our understanding of the dynamic characteristics of debris flows in northern Ningxia and provides valuable insights for hazard prediction and mitigation efforts in the region.…”
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Narrow band based and broadband derived vegetation indices using Sentinel-2 Imagery to estimate vegetation biomass by A.B. Imran, K. Khan, N. Ali, N. Ahmad, A. Ali, K. Shah

“…Accuracy assessment shown the red-edge index has highest R² (0.64) and least error of (31.29 t/ha) and therefore the study concluded that narrowband indices performed better to estimate biomass and thus final model contained only red-edge index to predict biomass over the study area. The study suggests that more in-depth research should be conducted to explore further properties of red-edge indices for vegetation parameters prediction.…”
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Sinomenine attenuates uremia vascular calcification by miR-143-5p by Fengyi Yu, Zhong Peng, Ning Gao, Zixu Tang, Zihao Liao, Song Zhao, Shuzhu Zhong, Gloria Umwiza, Hong Huang, Wei Long, Zhangxiu He

“…We screened 9 differential expressed miRNAs and their predicted target genes. By qRT-PCR, we validated that the expression of rno-miR-143-5p was corresponding to our prediction. …”
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pH Sensitivity Estimation in Potentiometric Metal Oxide pH Sensors Using the Principle of Invariance by Siddharth Ravichandran, Chockalingam Thiagarajan, Ponnusamy Senthil Kumar

“…A numerically solvable engineering model has been proposed that predicts the sensitivity of metal oxide- (MOX-) based potentiometric pH sensors. …”
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Current status and development trends of deep coalbed methane research in China by Wei JU, Shu TAO, Zhaobiao YANG, Jiayao CHENG, Haiyan SHANG, Weike NING, Chunlong WU

“…Geological and engineering "dual sweet spot" prediction is a key research focus for deep CBM research. …”
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Experimental Investigation on Hydraulic Properties of Granular Sandstone and Mudstone Mixtures by Dan Ma, Xin Cai, Zilong Zhou, Xibing Li

“…The empirical model has a high degree of predictive accuracy; however, κ has a higher predictive accuracy than ζ. …”
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Machine learning based compact MIMO antenna array for 38 GHz millimeter wave application with robust isolation and high efficiency performance by Md. Ashraful Haque, Md. Sharif Ahammed, Soeung Socheatra, Redwan A. Ananta, Md. Jamal Hossain Nirob, Narinderjit Singh Sawaran Singh, Noorlindawaty Md. Jizat, Saeed Alsowail, Samir Salem Al-Bawri

“…Lasso regression yields excellent results in terms of accuracy and achieves the lowest degree of error when testing the bandwidth prediction. Considering everything, the antenna stands out as a top choice for the 5 G communication system's high band. …”
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Comparison of Modified Biophysical Profile with Doppler Ultrasonographic Analysis in Determining Fetal well Being in the Third Trimester by Kadir Bakay, Ahmet Varolan, Ali Yazgan, Atif Akyol, İnci Davas

“…In conclusion, in order to effectively predict acute fetal distress and to maintain a reliable screening method, combined use of these tests, namely modified biophysical profile and umbilical artery Doppler analysis, has proven to be the most valuable and effective method as shown in our study. …”
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