Assessing the performance and explainability of an avalanche danger forecast model by C. Pérez-Guillén, F. Techel, M. Volpi, A. van Herwijnen

“…Therefore, the presented approach and visualization could also be employed as a training tool for new forecasters, highlighting relevant parameters and thresholds. …”
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USING THE ANYLOGIC ENVIRONMENT FOR MODELING AND ANALYSIS OF THE INFORMATION SECURITY AUDIT PROCESS by Kamilla M. Khuranova, Igor D. Kologorov, Sergey A. Reznichenko, Leonid N. Kessarinskiy

“…AnyLogic's visualization tools helped pinpoint process bottlenecks. The developed model features adaptability, allowing parameter adjustments to align with organizational specifics. …”
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Computational insights into magnetoelectric nanoparticles for neural stimulation by Alessia Vezzoni, Emma Chiaramello, Valentina Galletta, Valentina Galletta, Marta Bonato, Marta Parazzini, Serena Fiocchi

“…IntroductionThis study investigates the potential of magnetoelectric nanoparticles (MENPs) as a novel tool for localized electric stimulation of the central nervous system at single-neuron level, addressing the need for precise and minimally invasive neural modulation.MethodsUsing a computational framework based on finite element methods coupled with neuronal dynamics simulations on a realistic model of a hippocampal CA1 pyramidal neuron, the study evaluates how MENPs' stimulation parameters influence neural activation. …”
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Cardiovascular risk associated with high sodium-containing drugs: A systematic review. by Germain Perrin, Virginie Korb-Savoldelli, Alexandre Karras, Nicolas Danchin, Pierre Durieux, Brigitte Sabatier

“…Study quality was assessed using the EPHPP tool.<h4>Results</h4>A total of eight studies met our inclusion criteria. …”
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Antifungal Potential of Biogenic Zinc Oxide Nanoparticles for Controlling Cercospora Leaf Spot in Mung Bean by Zill-e-Huma Aftab, Faisal Shafiq Mirza, Tehmina Anjum, Humaira Rizwana, Waheed Akram, Muzamil Aftab, Muhammad Danish Ali, Guihua Li

“…While high concentrations of nanomaterials are known to be hazardous to plants, this study demonstrates that low doses of biologically synthesized zinc oxide nanoparticles (ZnO NPs) can serve as an effective regulatory tool to boost plant growth. These nanoparticles were produced using <i>Nigella sativa</i> seed extract and characterized through UV-Vis spectroscopy, FT-IR, X-ray diffraction, and scanning electron microscopy (SEM). …”
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SHPNeXt: A Novel Method of Multi-Scale and Variable Resolution AI-Based Tongue Image Segmentation by Chong-Xiao Peng, Zhi-Jun Gao, Jin-Huan Wang, Xin Yue, Yi Li, Li-Li Sun, Yin-Huan Sun, Fu-Quan Du

“…Balancing efficiency and accuracy, SHPNeXt&#x2019;s architecture comprises 5.984 million parameters and operates at 1.22 GFLOPs, rendering it an exceptionally effective tool for real-world tongue diagnosis in TCM. …”
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Repeatability and agreement of multispectral refraction topography in school children before and after cycloplegia by Xiaoli Xu, Wansheng Zang, Anken Wang, Chenhao Yang

“…The results of this study will provide valuable insights into the accuracy and reliability of MRT as a tool for assessing retinal refraction in pediatric patients. …”
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Deep learning radiomics on grayscale ultrasound images assists in diagnosing benign and malignant of BI-RADS 4 lesions by Liu Yang, Naiwen Zhang, Junying Jia, Zhe Ma

“…By comparing the results from two rounds of assessment, our AI-assisted diagnostic tool demonstrates practical value for radiologists with varying levels of experience.…”
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Graph‐Based Representation Approach for Deep Learning of Organic Light‐Emitting Diode Devices by Taeyang Lee, Jeongwhan Choi, Inyeob Na, Insun Yoo, Sungil Woo, Kwang Jong Kim, Mikyung Park, Joonghwan Yang, Jeongguk Min, Seokwoo Lee, Noseong Park, Joonyoung Yang

“…This representation not only exhibits parameter‐like characteristics but also encapsulates essential physical meanings that enhance interpretability. …”
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Artificial neural networks in the outcome prediction of adjustable gastric banding in obese women. by Paolo Piaggi, Chita Lippi, Paola Fierabracci, Margherita Maffei, Alba Calderone, Mauro Mauri, Marco Anselmino, Giovanni Battista Cassano, Paolo Vitti, Aldo Pinchera, Alberto Landi, Ferruccio Santini

“…This approach may constitute a valuable tool for selection of the best candidates for surgery, taking advantage of an integrated multidisciplinary approach.…”
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Thermal Error Analysis of Hydrostatic Turntable System by Jianlei Wang, Changhui Ke, Kaiyu Hu, Jun Zha

“…The amount of heat mainly depends on the working parameters, such as the oil supply pressure and the oil film gap. …”
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On-site trihalomethanes extraction from water using 3D printing solid phase extraction device and analysis by GC-ECD by Diego Barzallo, Héctor Berdugo, Edwin Palacio

“…Additionally, three greenness evaluation methodologies (AGREE, AGREEprep, and GAPI) and a practicality tool (BAGI) were employed to assess the environmental friendliness and applicability of the proposed method, demonstrating its superior performance compared to previously reported GC methods in the literature.…”
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Linking Inca Terraces with Landslide Occurrence in the Ticsani Valley, Peru by Gonzalo Ronda, Paul Santi, Isaac E. Pope, Arquímedes L. Vargas Luque, Christ Jesus Barriga Paria

“…To assess spatial coherence, a tool was developed based on the confusion matrix approach. …”
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Crypto-Ransomware Detection Through a Honeyfile-Based Approach with R-Locker by Xiang Fang, Eric Song, Cheng Ning, Huseyn Huseynov, Tarek Saadawi

“…By analyzing the recorded parameters after recovery and logging any adverse effects, we were able to train the system for better detection patterns. …”
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THE INVERSE GAUSSIAN PLUME METHOD FOR ESTIMATING THE LEVEL OF AIR POLLUTION by Volodymyr Hura, Liubomyr Monastyrskyi

“…The Inverse Gaussian Plume Model (IGPM) is a robust analytical tool used for estimating pollutant concentration levels from point sources. …”
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Technological adequacy of sugar beet products used in the food industry by M. I. Egorova, L. N. Puzanova, I. S. Mikhaleva, A. S. Vlasenko

“…The results obtained will be a tool for regulating the production of competitive products and developing a control scheme for the technological flow of sugar production.…”
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Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application by Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry Korzun

“…Healthcare digitalization requires effective applications of human sensors, when various parameters of the human body are instantly monitored in everyday life due to the Internet of Things (IoT). …”
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A Novel LC-APCI-MS/MS Approach for the Trace Analysis of 3,4-Difluoronitrobenzene in Linezolid by Yujin Lim, Aelim Kim, Eunyeong Shin, Hwangeui Cho

“…The quantitative method utilizes MS/MS ion transitions of the substitution product while optimizing chromatographic and spectrometric parameters to enhance both sensitivity and specificity. …”
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Effects of Digital Sleep Interventions on Sleep Among College Students and Young Adults: Systematic Review and Meta-Analysis by Yi-An Lu, Hui-Chen Lin, Pei-Shan Tsai

“…Heterogeneity in insomnia severity was primarily attributed to differences in the sleep assessment tool (P<.001), while the effect size on sleep efficiency varied based on intervention duration (P=.02). …”
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iCARE: An R package to build, validate and apply absolute risk models. by Parichoy Pal Choudhury, Paige Maas, Amber Wilcox, William Wheeler, Mark Brook, David Check, Montserrat Garcia-Closas, Nilanjan Chatterjee

“…This report describes an R package, called the Individualized Coherent Absolute Risk Estimator (iCARE) tool, that allows researchers to build and evaluate models for absolute risk and apply them to estimate an individual's risk of developing disease during a specified time interval based on a set of user defined input parameters. …”
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