A comparative analysis of sphenoid and frontal sinuses using cone beam computed tomography for sex determination by Junaid Ahmed, Namrata, Nanditha Sujir, Nandita Shenoy, Srikant Natarajan, Archana Muralidharan, Ashwin C. Shetty

“…Stepwise discriminant function analysis was used to determine sex. Additionally, the receiver operating characteristic (ROC) curve, area under the curve (AUC), sensitivity, and specificity were also determined. …”
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Crack Detection Method of Sleeper Based on Cascade Convolutional Neural Network by Liming Li, Shubin Zheng, Chenxi Wang, Shuguang Zhao, Xiaodong Chai, Lele Peng, Qianqian Tong, Ji Wang

“…The accuracy of the crack identification model is improved by using a mixed loss function of binary cross-entropy (BCE), structural similarity index measure (SSIM), and intersection over union (IOU). …”
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Unveiling the Anti-Aging Potential of Marine Natural Bioproducts by Nedeljka Rosic

“…Aging is a natural process resulting in the progressive impairment of multiple functions in the human body, leading to a decline in cellular functionality and the development of aging-related diseases. …”
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New Constraints of Interior Fars Sedimentary Basin Analysis During Asmari Formation (Oligocene-Lower Miocene) Deposition, South Iran by Yarem Taghloo Sohrabi Maryam, Soleimani Bahman, Ahmadi Vahid, Jahani Dawood, Kohansal Ghadimvand Nader

“…Microscopic studies led to identification 13 carbonate facies in this area. The results showed that the Asmari Formation has been deposited in a carbonate shelf in 5 sedimentary sub-environments including open sea, bar, lagoon, shoal and tidal flat. …”
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Inversion of Lateral Impact Load Migration History and Trajectory Location Method for Deck Structures Based on the Time-Slicing Method by Hongtao Li, Qihu Sheng, Xianqiang Qu, Yaoguo Xie

“…The impact load transfer caused by the landing of a carrier aircraft is a complicated problem in engineering, especially for a deck structure with a known area but an unknown location. This is a crucial structural dynamics inverse problem. …”
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Application of unascertained measure model in reservoir potential evaluation of Nanpu H Fault Block by QU Lili, LI Minglin, WU Zhimin, ZHANG Lin, FENG Linping, DENG Liping

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Case Study of Urban Stormwater Simulation in Foshan Based on Urban Time-Variant Gain Model by WANG Chao, GONG Siqi, XIAO Yu

“…The prerequisite for urban stormwater simulation and analysis is to accurately grasp urban rainfall-runoff response laws.This paper analyzes the nonlinear response law of rainfall-runoff and builds a TVGM-urban model to simulate and analyze the measured rainfall and storm scenarios designed under different recurrence periods by taking the Baolitongjifu neighborhood in Chancheng District,Foshan as the research object.The results are as follows.There is a power function correlation between rainfall and runoff in the city.The non-linear relationship between maximum rainfall intensity and peak flood flow can be verified by eight selected flood data in the neighborhood with the fitting effect of the power function (R²=0.6207,p<0.05) better than that of the linear relationship (R²=0.5629,p<0.05).Based on the identification of the catchment area and the subsurface classification,the TVGM-urban model is built in the Baolitongjifu neighborhood,and the model accuracy is verified by the measured rainfall and runoff data.Generally,the simulation results ensure that the Nash efficiency coefficient is greater than 0.7,and the simulation error of the water volume and peak value is within 20%,which can well meet the urban stormwater simulation requirements.The results can provide support and references for analyzing urban rainfall and runoff response laws and studying urban stormwater simulation.…”
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Using Machine Learning to Predict Cognitive Decline in Older Adults From the Chinese Longitudinal Healthy Longevity Survey: Model Development and Validation Study by Hao Ren, Yiying Zheng, Changjin Li, Fengshi Jing, Qiting Wang, Zeyu Luo, Dongxiao Li, Deyi Liang, Weiming Tang, Li Liu, Weibin Cheng

“…Participants with a baseline MMSE score of less than 18 were excluded from the cohort to ensure a more accurate assessment of cognitive function. We developed ML models that integrate demographic information, health behaviors, disease history, and blood biomarkers to predict cognitive function at the 3-year follow-up point, specifically identifying individuals who are at risk of experiencing significant declines in cognitive function by that time. …”
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Shortest-path network analysis is a useful approach toward identifying genetic determinants of longevity. by J R Managbanag, Tarynn M Witten, Danail Bonchev, Lindsay A Fox, Mitsuhiro Tsuchiya, Brian K Kennedy, Matt Kaeberlein

“…<h4>Background</h4>Identification of genes that modulate longevity is a major focus of aging-related research and an area of intense public interest. …”
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A scalable multi-modal learning fruit detection algorithm for dynamic environments by Liang Mao, Liang Mao, Zihao Guo, Mingzhe Liu, Yue Li, Linlin Wang, Jie Li

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Development of a Nanostructured Electrochemical Genosensor for the Detection of the K-ras Gene by Luis Fernando Garcia-Melo, Miguel Morales-Rodríguez, Eduardo Madrigal-Bujaidar, Eduardo O. Madrigal-Santillán, José Antonio Morales-González, Rosa Natali Pineda Cruces, Jorge Alfredo Campoy Ramírez, Pablo Damian-Matsumura, Alexandro Tellez-Plancarte, Nikola Batina, Isela Álvarez-González

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Assessing Destination Brand Image Chinatown In Term of Semarang City Branding Implementation by Novia Sari Ristianti, Santy Paulla Dewi

“…The first element is path with character toponym of alley based on its history as well as the special function as trading area, namely the Gang Baru as traditional market path and Gang Warung as semicircular market path. …”
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Bicuspid Aortic Valve and Sudden Cardiac Death by Cecilia Salzillo, Andrea Quaranta, Fabrizia Di Lizia, Michela Lombardo, Marco Matteo Ciccone, Vincenzo Ezio Santobuono, Enrica Macorano, Francesco Introna, Biagio Solarino, Andrea Marzullo

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Meta-analysis of QTLs associated with popping traits in maize (Zea mays L.). by Sukhdeep Kaur, Sujay Rakshit, Mukesh Choudhary, Abhijit Kumar Das, Ranjeet Ranjan Kumar

“…MetaQTL1_1 at bin location 1.01 coincided with the reported QTLs related to various agronomic traits like stalk diameter, tassel length, leaf area and plant height. The identified metaQTLs can be further explored for fine mapping and candidate gene identification, which can be validated by loss or gain of function. …”
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Cultural Landscape Study of the Laho'an Tribe in Belu District by Agripina Leki, Dian Kartika Santoso, Irawan Setyabudi

“…Circulation in the area is in the form of primary, secondary, and tertiary circulation. …”
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Population Monitoring of the Red Junglefowl Based on Acoustic Signal Recognition Technology by Peipei Hao, Xingyi Jiang, Xiaodong Rao, Wei Liang, Yanyun Zhang

“…Discriminant function analysis (DFA) was applied to identify pasture‐raised red junglefowl individuals, achieving a correct identification rate of 95.7%. …”
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Conditioned Medium Derived From Human Dental Follicle Mesenchymal Stem Cells Alleviates Macrophage Proinflammatory Responses Through MAPK-ERK-EGR1 Axis by Chuhan Zhang, Peiyi Lv, Qiuying Liang, Jian Zhou, Buling Wu, Wenan Xu

“…Elevated EGR1 levels inhibited inflammatory gene expression, inhibiting the pro-inflammatory immunoregulatory function of macrophages in inflammatory states. This study provides an efficient method for in vitro macrophage polarization identification. …”
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A New Ultralightweight RFID Mutual Authentication Protocol: SASI Using Recursive Hash by Umar Mujahid, M. Najam-ul-Islam, Atif Raza Jafri, Qurat-ul-Ain, M. Ali Shami

“…RFID is one of the most prominent identification schemes in the field of pervasive systems. …”
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Protein-protein interaction prediction using bidirectional GRUs with explicit ensemble. by Qiuhong Lan, Zhongtuan Zheng, Zhen Tang, Xuehua Qiu, Zhixiang Yin

“…The accurate in-silico identification of these interactions is a significant area of research in biology-related fields, which is crucial for protein function prediction and drug design. …”
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Flow shop scheduling decisions through Techniques for Order Preference by Similarity to an Ideal Solution (TOPSIS) by Arun Gupta, Shailendra Kumar

“…This paper brings out the application of a Multi-Criteria Decision Making (MCDM) method known as techniques for order preference by similarity to an ideal solution (TOPSIS) using different weighting schemes in flow-shop environment. The objective function is identification of a job sequence which in turn would have minimum makespan (total job completion time). …”
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