Music Therapy and Music-Based Interventions in Pediatric Neurorehabilitation by Elisa Milcent Fernandez, Christopher J. Newman

“…Results: The literature demonstrates that music therapy and music-based interventions can improve motor function—particularly gait and upper limb coordination—as well as speech production, while also reducing anxiety and enhancing participation. …”
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Drug-Drug interactions prediction calculations between cardiovascular drugs and antidepressants for discovering the potential co-medication risks. by Tie Hua Zhou, Tian Yu Jin, Xi Wei Wang, Ling Wang

“…Predicting Drug-Drug Interactions (DDIs) enables cost reduction and time savings in the drug discovery process, while effectively screening and optimizing drugs. …”
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Integration of Blockchain and Artificial Intelligence in Healthcare: Enhancing Data Security and Operational Efficiency by Ma Tengyan

“…The examination results indicate that blockchain decentralizes data for storing patients' privacy and integrity, while AI can enhance the accuracy of diagnosis and decision-making for treatment. …”
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Distribution of Temperature and Total Suspended Solids (TSS) Of Lake Buyan Water Based On Pan-Sharpening Landsat 8 Data by Tolhas Tomu Tumeang, I Made Yuliara, I Gde Antha Kasmawan

“…The lowest temperature was recorded at the 1st and 2nd points, each at 25.00 0C, while the highest temperature was at the 28th to 30th points with a value of 26.00 0C. …”
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Tailored silane based sorbent coatings for compact atmospheric water harvesting devices by Nathan Ortiz, Sameer Rao

“…Silane is used as a binding agent to adhere zeolite powder (AQSOA Z02) to thin aluminum sheets to provide a structurally sound and volumetrically dense method of packaging the sorbent while maintaining extremely fast sorption kinetics. …”
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Towards accurate food safety risks prediction via context-enhanced heterogeneous GNN by Ying Tang, Yu Han, Weihua Zhou

“…Accurate prediction of food safety risks is crucial for protecting public health and optimizing regulatory processes. This study investigates the context-enhanced heterogeneous graph neural network (HGNN) to address the complexity of risk prediction. …”
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Dynamic Large-Scale Server Scheduling for IVF Queuing Network in Cloud Healthcare System by Yafei Li, Hongfeng Wang, Li Li, Yaping Fu

“…The experimental results show that the optimal service rule of each server’s queue obtained by the RL method is significantly superior to the traditional service rule.…”
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Connecting metal-organic framework synthesis to applications using multimodal machine learning by Sartaaj Takrim Khan, Seyed Mohamad Moosavi

“…For example, over 5000 new metal-organic frameworks (MOFs) were reported in the past year alone. While these materials are often synthesized for specific applications, they may have potential uses in entirely different domains. …”
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Exploring visitor perception and environmental element relationships in rock carving landscapes through random forest analysis. by Wenxue Liu, Huan Li, Hao Sun, Qiaoyun Sun, Yishu Xia

“…However, existing studies primarily focus on evaluating the artistic value of rock carvings while overlooking the influence of the environment on visitor experience. …”
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Hybrid Approach for WDM Network Restoration: Deep Reinforcement Learning and Graph Neural Networks by Isaac Ampratwum, Amiya Nayak

“…This article presents a hybrid framework that integrates Deep Reinforcement Learning (DRL) and Graph Neural Networks (GNN) to optimize WDM network restoration. The proposed method leverages the decision-making capabilities of DRL and the graph-structured learning potential of GNN to dynamically adapt to network disruptions. …”
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In vitro models in drug discovery and development for leishmaniasis: A perspective by Simon L. Croft, Katrien Van Bocxlaer

“…While ILAMs have become a standard in drug discovery, their integration with more complex models and medicinal chemistry remains crucial for progressing toward an effective, short-course, oral treatment for all forms of leishmaniasis.…”
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Characterization and Effect of NaOH/ZnCl2 Chemical Activation on Nickel-Impregnated Activated Carbon for Biofuel by Balqis Ayu Azzahra, Azhari Muhammad Syam, Muhammad Muhammad

“…In these processes, activated carbon was produced by the dehydrogenation process of sugarcane molasses followed by the wet impregnation method using sodium hydroxide (NaOH) and zinc chloride (ZnCl2) activating agents. …”
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Prospects for the application of radiomics to brain tumors by Olga S. Regentova, Roman A. Parkhomenko, Nikolay I. Sergeyev, Vladimir K. Bozhenko, Pavel V. Polushkin, Vladimir А. Solodkiy

“…Besides, the high spatial and temporal heterogeneity of malignant neoplasms prevents a complete assessment of the biological properties of the tumor and even using stereotactic biopsy methods. Radiomics methods can help doctors differentiate the tumor grade, acting as a “virtual biopsy” while avoiding invasive procedures. …”
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Impact of Image Preprocessing and Crack Type Distribution on YOLOv8-Based Road Crack Detection by Luxin Fan, Saihong Tang, Mohd Khairol Anuar b. Mohd Ariffin, Mohd Idris Shah Ismail, Xinming Wang

“…Road crack detection is crucial for ensuring pavement safety and optimizing maintenance strategies. This study investigated the impact of image preprocessing methods and dataset balance on the performance of YOLOv8s-based crack detection. …”
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Impact of artemether–lumefantrine treatment, circadian rhythm, and serum replacement on the infectiousness of wild Plasmodium falciparum gametocytes to Anopheles gambiae sensu stri... by Dorin Joachim Mmasi, Dorin Joachim Mmasi, Prisca Kweyamba, Prisca Kweyamba, Prisca Kweyamba, Fatuma Matwewe, Masudi Suleiman Maasayi, Nolvin J. Mvungi, Nolvin J. Mvungi, Ummi Abdul Kibondo, Tibebu Habtewold, Tibebu Habtewold, Jennifer C. Stevenson, Jennifer C. Stevenson, Jennifer C. Stevenson, Lorenz Martin Hofer, Lorenz Martin Hofer, Lorenz Martin Hofer, Sarah Jane Moore, Sarah Jane Moore, Sarah Jane Moore, Sarah Jane Moore, Mgeni M. Tambwe, Mgeni M. Tambwe

“…This study aimed at optimizing DMFA through assessing the following 1) artemether–lumefantrine treatment 2) mosquito feeding time and 3) serum replacement on gametocyte infectiousness to mosquitoes in a low malaria transmission settingMethodsSix gametocytemic carriers were found to be eligible, from whom 4 mL of venous blood was drawn. …”
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Analysis of Friction Torque Characteristics of a Novel Ball–Roller Composite Turntable Bearing by Heng Tian, Weiwang Li, Xiuhua Shao, Zhanli Zhang, Wenhu Zhang

“…To address this issue, a novel ball–roller composite turntable bearing is proposed that effectively reduces friction torque while maintaining a high load capacity. A mechanical model based on statics is established, and the Newton–Raphson method is employed to calculate the contact load. …”
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FALAH-BASED SHARIA VALUE-ADDED: AN ANTITHESIS TO THE CONCEPT OF NET PROFIT by Aji Dedi Mulawarman, Aaiman Siddiqui

“…Second, the Citizenship and Fairness Pillars guide businesses in distributing Sharia Value Added. Third, while the Faith Pillars have been optimally pursued, they face regulatory constraints. …”
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Causes of baseflow variation in an inland river watershed of Northwest China by Mengwei Song, Hailong Liu, Quanlong Wu, Aminjon Gulakhmadov, Firdavs Shaimuradov

“…New hydrological insights for the region: The results demonstrate that the Eckhardt filtering method provides optimal performance for comparative evaluation of baseflow separation in the watershed. …”
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Forest cover and canopy health mapping in Australian subalpine landscape: supervised machine learning models for Sentinel-2 and Landsat images by Weerach Charerntantanakul, Marta Yebra, Hilary Rose Dawson, Adrienne Beth Nicotra, Saul Alan Cunningham, Matthew Theodore Brookhouse

“…Cross-validation experiments were undertaken to optimize the model configurations. Using Sentinel-2 surface reflectance, the best forest masking model was SVM (OA = 0.849 ± 0.003), while MLR performed best for canopy condition (r2 = 0.73 ± 0.07). …”
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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti, Hafsa Binte Kibria, Zareen Tasnim Pear, Md Nahiduzzaman, Md. Faysal Ahamed, Khandaker Reajul Islam, Jaya Kumar, Muhammad E. H. Chowdhury

“…This study focuses on optimizing and comparing various machine learning models for ASD diagnosis, while incorporating explainable AI techniques to ensure model transparency and interpretability. …”
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