A Multi-Input Neural Network Model for Accurate MicroRNA Target Site Detection by Mohammad Mohebbi, Amirhossein Manzourolajdad, Ethan Bennett, Phillip Williams

“…For each feature derived from a microRNA target-site duplex, we create a corresponding image. These images are processed in parallel by the MINN algorithm, allowing it to learn a comprehensive and precise representation of the underlying biological mechanisms. (3) Results: Our method, on an experimentally validated test set, detects target sites with an AUPRC of 0.9373, Precision of 0.8725, and Recall of 0.8703 and outperforms several commonly used computational methods of microRNA target-site predictions. (4) Conclusions: Incorporating diverse biologically explainable features, such as duplex structure, substructures, their MFEs, and binding probabilities, enables our model to perform well on experimentally validated test data. …”
Get full text

Sustainable metal recovery from spent lithium-ion battery using electrochemical technique: A comprehensive method review by Sayali Apte, Aparna Mukherjee, Preeti Mishra

“…However, challenges like process complexity due to multi-element systems, employment of strongly corrosive solvents, membrane fouling, and scalability are also witnessed. …”
Get full text

Transparency and translucency indices for 1,525 pictograms from the Aragonese Portal of Augmentative and Alternative Communication by Emiliano Díez, Antonio M. Díez-Álamo, María A. Alonso, María A. Alonso, Dominika Z. Wojcik, Angel Fernandez

“…A total of 521 participants took part in tasks that involved providing the word that best described the meaning of a pictogram or rating the relationship between a pictogram and a verbal label. …”
Get full text

The competitiveness of machine-building enterprises: Current state and prospects for development by Samofalova Mariia, Karachyna Natalia, Slobodianyk Anna, Abuselidze George, Khadartsev Oleksandr, Ruban Yuriy

“…The research methodology is based on data from machine-building enterprises in Ukraine (4 years and 38 manufacturers of the industry), processed using statistical analysis and economic and mathematical models to forecast their competitiveness in the short term.…”
Get full text

Effect of inflation and liquidity on the Hedging of Oil Transactions by Participating in Gold Market: RS-DCC by Teymour Mohammadi, Sarah Akbari, Hamidreza Arbab, Reza Talebloo

“…When the economy faced volatility the market players faced loss and so to overcome this issue they began to hedge themselves with another commodity. This hedging process in different regimes has different rates. …”
Get full text

AquaFlowNet a machine learning based framework for real time wastewater flow management and optimization by P. Prabu, Ala Saleh Alluhaidan, Romana Aziz, Shakila Basheer

“…These limitations often lead to inefficiencies such as energy wastage, treatment delays, and overflow incidents, negatively impacting system performance and sustainability.AquaFlowNet leverages state-of-the-art machine learning algorithms to analyze real-time data from sensors, forecast flow variations, and optimize wastewater treatment processes. …”
Get full text

Temporal and Spatial Variation Characteristics of Precipitation Isohyets on the Qinghai–Tibet Plateau from 1961 to 2023 by Xuan Liu, Qiang Zhou, Yonggui Ma, Zemin Zhi, Rui Liu, Weidong Ma

“…Using monthly precipitation data (1961–2023), we analyzed the spatial distribution and dynamics of 200 mm and 400 mm isohyets through climate propensity rates and centroid center migration. …”
Get full text

Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM by Fuyu Wang, Huiying Xu, Huifen Ye, Yan Li, Yibo Wang

“…The original data are first subjected to dimensionality reduction using PCA, with principal components contributing cumulatively to over 80% selected as input variables for the SVM model, while earthquake casualties are designated as the output variable. …”
Get full text

DO-MDS&DSCA: A New Method for Seed Vigor Detection in Hyperspectral Images Targeting Significant Information Loss and High Feature Similarity by Liangquan Jia, Jianhao He, Jinsheng Wang, Miao Huan, Guangzeng Du, Lu Gao, Yang Wang

“…The experiments involved using the DO-MDS processed datasets with a convolutional neural network embedded with the DSCA attention module, and the results demonstrate vigor discrimination accuracy rates of 93.85%, 93.4%, and 96.23% for the Chunyou 83, Zhongzao 39, and Zhongzu 53 datasets, respectively, achieving 94.8% for the mixed dataset. …”
Get full text

Optimizing Prenuptial Agreements for Asset Protection: A Maqashid Sharia Based Approach by Rohmadi Rohmadi, Muadil Faizin, R. Dedy Chairil Zain, Yenni Samri Juliati Nasution, Suhardiman Suhardiman

“…This research uses a qualitative approach with normative juridical analysis methods. Secondary data was obtained through critical analysis of related literature, including the Indonesian Marriage Law, previous academic studies, and other legal documents related to the PNA. …”
Get full text

Dynamic Gradient Descent and Reinforcement Learning for AI-Enhanced Indoor Building Environmental Simulation by Xiaolong Chen, Haohao Yang, Hongfeng Zhang, Cora Un In Wong

“…The proposed method combines a hybrid optimizer—stochastic gradient descent with momentum and adaptive learning rates—with an RL-driven meta-controller to dynamically adjust hyperparameters in response to real-time environmental fluctuations. …”
Get full text

Recent Advancements in Artificial Intelligence in Battery Recycling by Subin Antony Jose, Connor Andrew Dennis Cook, Joseph Palacios, Hyundeok Seo, Christian Eduardo Torres Ramirez, Jinhong Wu, Pradeep L. Menezes

“…Additionally, integrating AI with advanced sensing technologies like computer vision, spectroscopy, and X-ray imaging allows for precise material characterization and real-time monitoring, optimizing recycling strategies and material recovery rates. Despite these advancements, data quality, scalability, and regulatory compliance must be addressed to realize AI’s full potential in battery recycling. …”
Get full text

Thermal runaway and flame propagation in battery packs: numerical simulation and deep learning prediction by Zilong Wang, Hosein Sadeghi, Xinyan Huang, Francesco Restuccia

“…This paper proposes an intelligent framework for predicting the temperature distribution and thermal runaway propagation in a battery pack across diverse conditions, including various battery types, ambient temperatures, and fire heat release rates. First, we generate an extensive numerical database, comprising 36 simulations of battery jet flame and thermal runaway processes that are validated by experimental data. …”
Get full text

Threats to grant peer review: a qualitative study by Karim M Khan, Clare L Ardern, Joanie Sims Gould, Anne M Lasinsky, Adrian Mota

“…The aim of our study was to understand the experiences and challenges faced by grant peer reviewers.Methods Therefore, we conducted qualitative interviews with 18 members of grant review panels—the Chairs, peer reviewers and Scientific Officers of a national funding agency—that highlight threats to the integrity of grant peer review.Results We identified three threats: (1) lack of training and limited opportunities to learn, (2) challenges in differentiating and rating applications of similar strength, and (3) reviewers weighting reputations and relationships in the review process to differentiate grant applications of a similar strength. …”
Get full text

Optimizing multi-item EPQ under defect and rework: A case in the plastic molding industry by Laila Nafisah, Rika Apriyanti Magdalena Sinaga, Apriani Soepardi, Melati Salma, Irianto Irianto

Get full text

Computer-assisted medical history taking prior to patient consultation in the outpatient care setting: a prospective pilot project by Roman Hauber, Maximilian Schirm, Mirco Lukas, Clemens Reitelbach, Jonas Brenig, Margret Breunig, Susanne Brenner, Stefan Störk, Frank Puppe

Get full text

Assessment and Diagnosis of the water resources carrying capacity in the Huaihe River basin of Anhui Province by Hui Zhang, Tianru Ma, Zhengwei Pan, Lan Yang, Dejian Wang, Guangye Yu, He Li, Kezhi Zhang

“…By combining the Improved Coefficient of Variation Method (ICVM) with the Improved Analytic Hierarchy Process (IAHP), both the subjective and objective weights are calculated, effectively accounting for expert experience and data variability. …”
Get full text

Evolution of precipitates during creep deformation for alloy 718 by Chanhee Park, Joonho Lee, Woo-Sang Jung

“…The growth rates of plate δ phase were faster than blocky δ phase at all creep temperatures.…”
Get full text

High viral abundance as a consequence of low viral decay in the Baltic Sea redoxcline. by Nicole Köstner, Lisa Scharnreitner, Klaus Jürgens, Matthias Labrenz, Gerhard J Herndl, Christian Winter

“…Viral production and the frequency of infected cells from both approaches, however, cannot be directly compared, as data obtained from undiluted incubations were biased by viral reinfection and other uncontrollable processes during the incubation period. …”
Get full text

Phylogeography of recently emerged DENV-2 in southern Viet Nam. by Maia A Rabaa, Vu Thi Ty Hang, Bridget Wills, Jeremy Farrar, Cameron P Simmons, Edward C Holmes

“…Focusing on the recently introduced Asian I genotype, we observed particularly high rates of viral exchange between adjacent geographic areas, and between Ho Chi Minh City, the primary urban center of this region, and populations across southern Viet Nam. …”
Get full text