Effect of controlling the number of natural microorganisms on the taste and aroma of tuak (North Sumatra traditional beverage) by Sumy Ester Hutasoit, Nina Juliana Roberta Turnip, Yoli Agnesia, Merry Meryam Martgrita

“…This study aimed to enhance the processing of nira into tuak through the addition of a controlled number of natural microorganisms that play an important role in the taste and aroma of tuak and to reach conclusions about the most liked tuak. …”
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AI-driven precision diagnosis and treatment in Parkinson’s disease: a comprehensive review and experimental analysis by Bhekisipho Twala

“…Additionally, we developed and tested a hybrid machine learning model combining deep learning, computer vision, and natural language processing techniques for PD assessment using motor symptom analysis, voice pattern recognition, and gait analysis.ResultsThe systematic review identified 127 relevant studies demonstrating significant advances in AI-driven PD diagnosis, with accuracy rates ranging from 78 to 96%. …”
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A Method for Airborne Small-Target Detection with a Multimodal Fusion Framework Integrating Photometric Perception and Cross-Attention Mechanisms by Shufang Xu, Heng Li, Tianci Liu, Hongmin Gao

“…This paper presents an innovative multimodal fusion framework incorporating photometric perception and cross-attention mechanisms to address the critical limitations of current single-modality detection systems, particularly their susceptibility to reduced accuracy and elevated false-negative rates in adverse environmental conditions. Our architecture introduces three novel components: (1) a bidirectional hierarchical feature extraction network that enables the synergistic processing of heterogeneous sensor data; (2) a cross-modality attention mechanism that dynamically establishes inter-modal feature correlations through learnable attention weights; (3) an adaptive photometric weighting fusion module that implements spectral characteristic-aware feature recalibration. …”
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Determinants of Credit Access to Small Scale Enterprises: A Case Study of Centenary Bank Kabale Branch-Kabale District. by Besigye, Emmanuel

“…Complex and lengthy lending processes were identified as major obstacles, with many SMEs noting that documentation requirements and processing delays discouraged them from applying for loans. …”
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An Integrated FDD Approach for an Intensified HEX/Reactor by Mei Zhang, Ze-tao Li, Michel Cabassud, Boutaïeb Dahhou

“…The proposed strategy is applied to actual data retrieved from a new intensified heat exchanger reactor. …”
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AI Predictive Model of Mortality and Intensive Care Unit Admission in the COVID-19 Pandemic: Retrospective Population Cohort Study of 12,000 Patients by Jose Manuel Ruiz Giardin, Óscar Garnica, Nieves Mesa Plaza, Juan Víctor SanMartín López, Ana Farfán Sedano, Elena Madroñal Cerezo, Miguel Ángel Duarte Millán, Aida Izquierdo Martínez, Luis Rivas, Marta Rivilla, Alejandro Morales Ortega, Begoña Frutos Pérez, Cristina De Ancos Aracil, Ruth Calderón, Guillermo Soria Fernandez, Jorge Marrero Francés, David Bernal Bello, Jose Ángel Satué Bartolomé, María Toledano Macías, Sara Piedrabuena García, Marta Guerrero Santillán, Rafael Cristóbal, Belen Mora, Laura Velázquez Ríos, Vanesa García de Viedma, Paula Cuenca Ruiz, Ibone Ayala Larrañaga, Lorena Carpintero, Celia Lara, Alvaro Ricardo Llerena, Virginia García Bermúdez, Gema Delgado Cárdenas, Paloma Pardo Rovira, Elena Tejero Sánchez, Maria Jesús Domínguez García, Carolina Mariño, Cristina Bravo, Ana Ontañon, Mario García, Jose Ignacio Hidalgo Pérez, Santiago Prieto Menchero, Natalia González Pereira, Sonia Gonzalo Pascua, Jorge Tarancón Rey, Luis Antonio Lechuga Suárez

“…Variables recorded were age, sex, place of birth, clinical data, laboratory results, vaccination status, and radiologic data at admission. …”
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Fine-scale Simulation Study of Climate Characteristics along the Qinghai-Xizang Railway by Fuquan LU, Yaoxian YANG, Zeyong HU

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Proxy Model for EFDT Formtion Testing Sampling Basedon Numerical Simulation by YU Qiang, ZHOU Yanmin, CHU Xiaodong, NIE Yiying, ZUO Youxiang, KONG Sun, ZHOU Minggao

“…By changing formation and fluid properties, such as formation anisotropy, fluid viscosity, pumping flow rate and invasion depth, and analyzing their impact on contamination levels, the prediction of contamination levels during the EFDT standard probe sampling process is achieved. …”
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Crisis management in Finnish hospital pharmacies during the COVID-19 pandemic by S. Latonen, A. M. Juppo, H. Seeck, M. Airaksinen

“…The study provided an alternative data collection approach by utilising process models in the development of the survey instrument. …”
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A Multi-Scale Fusion Convolutional Network for Time-Series Silicon Prediction in Blast Furnaces by Qiancheng Hao, Wenjing Liu, Wenze Gao, Xianpeng Wang

“…This study presents a novel Multi-Scale Fusion Convolutional Neural Network (MSF-CNN) to accurately predict the silicon content during the blast furnace smelting process, addressing the limitations of existing data-driven approaches. …”
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Coastal Reclamation Embankment Deformation: Dynamic Monitoring and Future Trend Prediction Using Multi-Temporal InSAR Technology in Funing Bay, China by Jinhua Huang, Baohang Wang, Xiaohe Cai, Bojie Yan, Guangrong Li, Wenhong Li, Chaoying Zhao, Liye Yang, Shouzhu Zheng, Linjie Cui

“…We optimized the phase-unwrapping network by employing ambiguity-detection and redundant-observation methods to facilitate the multitemporal InSAR phase-unwrapping process. The deformation results indicated that the maximum observed land subsidence rate exceeded 50 mm per year. …”
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Parameter estimation and uncertainty quantification for an epidemic model by Alex Capaldi, Samuel Behrend, Benjamin Berman, Jason Smith, Justin Wright, Alun L. Lloyd

“…Uncertainty estimates and sensitivity analysis are used toinvestigate how the frequency at which data is sampled affects theestimation process and how the accuracy and uncertainty of estimatesimproves as data is collected over the course of an outbreak. …”
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Evaluating Uncertainty Quantification in Medical Image Segmentation: A Multi-Dataset, Multi-Algorithm Study by Nyaz Jalal, Małgorzata Śliwińska, Wadim Wojciechowski, Iwona Kucybała, Miłosz Rozynek, Kamil Krupa, Patrycja Matusik, Jarosław Jarczewski, Zbisław Tabor

“…Additionally, we observe that the dropout rate has minimal or no impact on the model’s performance unless there is a substantial loss of training data, primarily evident in the 80% dropout rate scenario.…”
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Toward Understanding Federated Learning over Unreliable Networks by Chenyuan Feng, Ahmed Arafa, Zihan Chen, Mingxiong Zhao, Tony Q. S. Quek, Howard H. Yang

“…This paper studies the efficiency of training a statistical model among an edge server and multiple clients via Federated Learning (FL) – a machine learning method that preserves data privacy in the training process – over wireless networks. …”
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Estimating a Non-Linear Economic Model for a Small-Scale Pyrolysis Unit by Alok Dhaundiyal, András Máté Betovics, Laszlo Toth

“…The exergy cost flow rate of processed pine waste was estimated to be 0.027 ¢/s⁻¹. …”
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Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…ResultsThe most frequently reported Level-3 taxonomies in QC reports from 2019 to 2022 were “Standard Procedure and Process,” “Safety Reporting,” and “Source Data Collection and/or Recording.” …”
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Three-Dimensional Curved Workflow-Based Optical Coherence Tomography Angiography for Enhancing Atopic Dermatitis Theranostics by Junwei Li, Yunrui Zhang, Ying Huang, Ronghui Li, Kun Wang, Dongbei Guo, Zicheng Huang, Youliang Yao, Yunxin Xue, Guibo Sun, Cheng Jiang, Leyun Wang, Chenzhong Li, Qingliang Zhao

“…Compared to traditional 2D analysis, the maximum variation rate of 3D curved multiparametric information is approximately 10%. …”
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Single-molecule direct RNA sequencing reveals the shaping of epitranscriptome across multiple species by Ying-Yuan Xie, Zhen-Dong Zhong, Hong-Xuan Chen, Ze-Hui Ren, Yuan-Tao Qiu, Ye-Lin Lan, Fu Wu, Jin-Wen Kong, Ru-Jia Luo, Delong Zhang, Biao-Di Liu, Yang Shu, Feng Yin, Jian Wu, Zigang Li, Zhang Zhang, Guan-Zheng Luo

“…Third-generation sequencing (TGS) platforms offer direct RNA sequencing (DRS) at the resolution of individual RNA molecules, enabling simultaneous detection of RNA modifications and RNA processing events. In this study, we introduce SingleMod, a deep learning model tailored for precise detection of m6A modification on individual RNA molecules from DRS data. …”
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Expansão da rede viária na Amazônia Oriental, Rodovia Perimetral Norte, Amapá by Francinete da Silva Facundes, Ricardo Ângelo Pereira Lima, Valdenira Ferreira dos Santos

“…The rate of increase of the road network was associated with socio-spatial events that influenced the expansion of that network. …”
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Investment Patterns in Diverse Economies: A Bibliometric Study of Global Transformations by Artem Artyukhov, Olha Yeremenko, Nadiia Artyukhova, Artur Lapidus, Olena Churikanova, Kseniia Bliumska-Danko

“…The study spans from 1964 to 2024, utilising data from the Web of Science (WoS) and analysed with R Studio and CiteSpace to identify trends and shifts in academic focus on investment strategies. …”
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