Dengue dynamics, predictions, and future increase under changing monsoon climate in India by Yacob Sophia, Mathew Koll Roxy, Raghu Murtugudde, Anand Karipot, Amir Sapkota, Panini Dasgupta, Kalpana Baliwant, Sujata Saunik, Abhiyant Tiwari, Rajib Chattopadhyay, Revati K. Phalkey

“…Based on these weather-dengue associations, we developed a machine-learning model utilizing the random forest regression algorithm. The dengue model yields a skillful forecast, achieving a statistically significant correlation coefficient of r = 0.77 and a relatively low Normalized Root Mean Squared Error score of 0.52 between actual and predicted dengue mortalities, at a lead time of two months. …”
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Transformasi Lontar Babad Lombok Menuju Digitalisasi Berbasis Natural Gradient Flexible (NGF) by Muhammad Tajuddin Anwar, Syahroni Hidayat, Ahmat Adil

“…The results show that the application of the NGF-ICA algorithm can generate high-quality output images with average values of MSE, PSNR, SSIM, and increasing Entropy by 708, 19.95 dB, 0.87, and 0.45, respectively. …”
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Hyperspectral inversion of heavy metal content in farmland soil under conservation tillage of black soils by Yanan Chen, Wanying Shi, Guzailinuer Aihemaitijiang, Feng Zhang, Jiquan Zhang, Yichen Zhang, Dianqi Pan, Jinying Li

“…The successive projection algorithm was used to screen characteristic bands (Table S1) to establish the link between HM content in soil and soil spectra. …”
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Preliminary application of a cervical vertebra segmentation method based on Transformer and diffusion model for lateral cephalometric radiographs in orthodontic clinical practice by LIU Yang, WU Mengyi, HU Yao, QI Kun, WANG Yubin, ZHAO Yue, SONG Jinlin

“…Objective·To construct a cervical vertebra image segmentation model by using a diffusion model with the Transformer deep learning algorithm, and evaluate its segmentation performance, to address the clinical challenge of accurately assessing complex changes in skeletal morphology during the growth and developmental peaks of malocclusion.Methods·Accurate cervical vertebra segmentation was performed on cephalometric radiographs from 185 orthodontic patients (44 cases from the Stomatological Hospital of Chongqing Medical University and 141 cases from the Stomatological Hospital of Xi'an Jiaotong University) by using a method combining Transformer and diffusion models. …”
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Correction of Dysbiosis in Diversion Proctitis: Possibilities of Intraluminal Sanitation and the Prevention of Complications after Reconstructive Surgery by V. S. Groshilin, D. V. Martynov, Yu. L. Naboka, M. Yu. Bakulyarov, G. A. Mrykhin

“…This determines the need for a therapeutic algorithm of intestine sanitation and the introduction of methods for preventing the anastomotic leakage after obstructive resection of the distal colon (Hartmann’s operation). …”
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Technical note: “U–Th Analysis” – open-source software dedicated to MC-ICP-MS U-series data treatment and evaluation by I. K. Kerber, F. Kontor, A. Mielke, A. Mielke, S. Warken, S. Warken, N. Frank

“…<p>We present our stand-alone data analysis application for <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><msup><mi/><mn mathvariant="normal">230</mn></msup><mrow class="chem"><mi mathvariant="normal">Th</mi><mo>/</mo><mi mathvariant="normal">U</mi></mrow></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="43pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="3e17e119ba9c72e5f696f4fcc9cdcb4a"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="gchron-7-1-2025-ie00001.svg" width="43pt" height="15pt" src="gchron-7-1-2025-ie00001.png"/></svg:svg></span></span> dating with multi-collector inductively coupled plasma mass spectrometry (MC-ICP-MS). The Python-based algorithm is equipped with a graphical user interface (GUI) and comprises raw data treatment, corrections, age calculation, and error estimation. …”
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Factors influencing the effectiveness of SM-VCE method in solving 3D surface deformation by Xupeng Liu, Guangyu Xu, Mingkai Chen, Tengxu Zhang

“…Integration of the SM-VCE algorithm with robust estimation techniques effectively minimizes far-field deformation errors in data, thereby marginally enhancing the near-field deformation solution.…”
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Capturing the extent of climate's dynamic effects on runoff and nutrient yields across short- and long-term scales by Di Chang, Shuo Li

“…This study first constructed the Soil and Water Assessment Tool (SWAT) for a large-scale agricultural watershed in southern China, using multi–site zoning calibration approach and the Sequential Uncertainty Fitting algorithm (SUFI-2). The model performance was evaluated using the coefficient of determination (R2), Nash–Sutcliffe efficiency (NSE), and Kling-Gupta efficiency (KGE). …”
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Diagnostic Value of Glycosylated Extracellular Vesicle microRNAs in Gastric Cancer by Wang S, Ma C, Ren Z, Zhang Y, Hao K, Liu C, Xu L, He S, Zhang J

“…The signatures were screened in a discovery cohort of GC patients (n=55) and non-disease controls (n=46) using an integrated process, including high-throughput sequencing technology, screening using a complete bioinformatics algorithm, validation using RT-qPCR, and evaluation by constructing a diagnostic model. …”
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A study on the classification of coastal wetland vegetation based on the Suaeda salsa index and its phenological characteristics by Weicheng Huang, Xianyun Fei, Weiwei Yang, Zhen Wang, Yajun Gao, Hong Yan

“…The four phenological metrics were combined with spectral and textural features to classify the vegetation using the random forest (RF) algorithm. In order to demonstrate the efficacy of the constructed vegetation indices, this study employed both the NDVI and the existing Suaeda salsa Vegetation Index (SSVI) to calculate the phenological metrics for classification purposes. …”
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Identifikasi Emosi Pengguna Konferensi Video Menggunakan Convolutional Neural Network by Lina Lina, Arthur Adhitya Marunduh, Wasino Wasino, Daniel Ajienegoro

“…The system detects facial areas in video frames using the Viola-Jones algorithm and identifies the emotions on the detected faces using the Convolutional Neural Network (CNN) method with the VGG-16 architecture. …”
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Critical linkages between land use change and human health in the Amazon region: A scoping review. by Molly Mastel, Alejandra Bussalleu, Valerie A Paz-Soldán, Gabriela Salmón-Mulanovich, Armando Valdés-Velásquez, Stella M Hartinger

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Russian business in the context of the growth of cybercrime: changes in economic behavior and protective mechanisms by S. G. Simonov, I. V. Lysenko

“…Due to the low demand of entrepreneurs for vulnerability search services in the company’s software, web applications and IT infrastructure, it is proposed to build a typical SOC that meets the most minimal standards for combating cybercrime. An algorithm has been developed to achieve them in the form of step-by-step implementation of simple organizational and methodological recommendations for the prevention of cybercrimes and minimizing their consequences for small and medium-sized businesses.…”
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Targeting HVEM-GPT2 axis: a novel approach to T cell activation and metabolic reprogramming in non-small cell lung cancer therapy by Yuanshan Yao, Chunji Chen, Bin Li, Wen Gao

“…Crucially, HVEM, part of the tumor necrosis factor receptor superfamily, influences T cell activation, potentially impacting immunotherapeutic outcomes. Using the TIDE algorithm, our results showcased a link between HVEM levels and immune dysfunction in NSCLC patients. …”
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Preterm preeclampsia screening and prevention: a comprehensive approach to implementation in a real-world setting by Stefania Ronzoni, Shamim Rashid, Aimee Santoro, Elad Mei-Dan, Jon Barrett, Nanette Okun, Tianhua Huang

“…Risk for preterm preeclampsia was assessed using the Fetal Medicine Foundation algorithm, which includes maternal risk factors, uterine artery Doppler, mean arterial pressure and serum markers (Placental growth factor, PlGF and Pregnancy-associated plasma protein-A, PAPP-A). …”
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Segmentasi Pelanggan B2B dengan Model LRFM Menggunakan Algoritma Fuzzy C-Means pada Rotte Bakery by Dea Putri Ananda, Siti Monalisa

“…In this study, we employed the LRFM model (Length, Recency, Frequency, and Monetary) with the Fuzzy C-Means algorithm for customer segmentation. The Davies Bouldien-Index validation method was used to determine the optimal number of clusters. …”
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Segmentasi Pelanggan Majalah pada Situs Web E-Commerce dengan K-Means++ dan Metode RFM by Andrew Lomaksan Manuel Tampubolon, Thio Marta Elisa Yuridis Butar Butar, Siti Rochimah

“…This study applies the Recency, Frequency, and Monetary (RFM) method combined with the K-Means++ clustering algorithm for customer segmentation. The Silhouette score serves as an indicator for selecting the most optimal value of k to determine the number of clusters. …”
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Logical-semantic knowledge model for the knowledge base of a lecturer by Serhii Dotsenko, Olga Banit, Dmytro Nor, Olga Morozova

“…This paper proposes an architecture for a three-factor graphical logical-semantic knowledge representation model, which defines an algorithm to form the corresponding knowledge base. …”
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Predicting pediatric patient rehabilitation outcomes after spinal deformity surgery with artificial intelligence by Wenqi Shi, Felipe O. Giuste, Yuanda Zhu, Ben J. Tamo, Micky C. Nnamdi, Andrew Hornback, Ashley M. Carpenter, Coleman Hilton, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang

“…Moreover, we enable responsible AI by calibrating model confidence for human intervention and mitigating health disparities for algorithm fairness. Results The best prediction model achieves an area under receiver operating curve (AUROC) performance of 0.86, 0.85, and 0.83 for individual SRS-22R question response prediction over three-time horizons from pre-operation to 6-month, 1-year, and 2-year post-operation, respectively. …”
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6G-oriented cross-modal signal reconstruction technology by Ang LI, Jianxin CHEN, Xin WEI, Liang ZHOU

“…Conclusions: The results of the dataset runs fully demonstrate the practicality of the constructed VisTouch dataset and the accuracy of the video-assisted haptic reconstruction model, while the actual test results of the teleoperated platform indicate that users consider the haptic signals generated by the model to be closer to the actual signals,but are generally satisfied with the running time of the algorithm, i.e. the complexity of this modality needs further optimization.…”
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