Does the Urinary Calcium/Citrate Ratio Help in the Diagnosis of Children at Risk of Urolithiasis? by Utku Dönger, Aysun Çaltık Yılmaz, Caner İncekaş, Kaan Gülleroğlu, Esra Baskın

“…The urinary calcium-citrate ratio is a proposed method for assessing urolithiasis risk. Evaluating high urinary calcium alongside citrate may be more informative than high calcium alone. …”
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Transient Attracting Profiles in the Great Pacific Garbage Patch by L. Kunz, A. Griesel, C. Eden, R. Duran, R. Duran, B. Sainte-Rose

“…Lagrangian simulations of large particle ensembles are the method in use and effectively reproduce observed particle distributions at synoptic scales <span class="inline-formula">𝒪</span>(1000 km). …”
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Load Balancing and Alternative Path Selection in Self-Organized Networks: A Data Plane Approach by Gergely Sarkozi, Peter Voros

“…Unlike conventional systems reliant on centralized controllers or manual configurations, this algorithm operates entirely within the data plane, leveraging controlled flooding to dynamically discover and reroute traffic based on real-time congestion data. By detecting latency spikes indicative of congestion, switches autonomously select alternative paths to maintain optimal traffic flow. …”
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Green On-Site Diclofenac Extraction from Wastewater Matrices Using a 3D-Printed Device Followed by PTV-GC-MS Determination by César Castro-García, Edwin Palacio, Rogelio Rodríguez-Maese, Luz O. Leal, Laura Ferrer

“…The eluent and derivatization reagent volumes were optimized by a multivariate design. The proposed method allowed for the extraction and determination of diclofenac by PTV-GC-MS, achieving methodological detection and quantification limits of 0.019 and 0.055 μg L⁻¹, respectively, with a preconcentration factor of 46. …”
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Next-Generation Automation in Neuro-Oncology: Advanced Neural Networks for MRI-Based Brain Tumor Segmentation and Classification by Syed Sajid Hussain, Niyaz Ahmad Wani, Jasleen Kaur, Naveed Ahmad, Sadique Ahmad

“…In response to the urgency of these difficulties, our research presents a novel multi-task learning methodology utilizing advanced neural network architectures to automate and improve the accuracy of brain tumor identification and classification from MRIs. This method seeks to optimize the diagnostic procedure, diminish reliance on manual analysis, and deliver swift, dependable outcomes that can expedite the commencement of treatment. …”
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Tracking Oral Nanoparticle Uptake in Mouse Gastrointestinal Tract by Fluorescent Labeling and t-SNE Flow Cytometry by Rabeya Mow, Michal Kuczma, Xiaodi Shi, Didier Merlin, Chunhua Yang

“…This protocol presents a refined approach for fluorescent labeling and flow cytometric analysis of colonic cells following oral lipid nanoparticle (LNP) treatment, focusing on LNP uptake in colonic cell subpopulations in a DSS-induced colitis mouse model. By integrating optimized fluorochrome selection and gating strategies with advanced t-distributed stochastic neighbor embedding (t-SNE) analysis, this method enables precise identification and multidimensional visualization of LNP-targeted epithelial and macrophage populations under the complex conditions of inflamed colon tissue. …”
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Leveraging automated time-lapse microscopy coupled with deep learning to automate colony forming assay by Anusha Klett, Anusha Klett, Dennis Raith, Dennis Raith, Paula Silvestrini, Paula Silvestrini, Paula Silvestrini, Matías Stingl, Jonas Bermeitinger, Avani Sapre, Avani Sapre, Avani Sapre, Martin Condor, Roman Melachrinos, Mira Kusterer, Alexandra Brand, Guido Pisani, Guido Pisani, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Marie Follo, Marie Follo, Jesús Duque-Afonso, Roland Mertelsmann, Roland Mertelsmann

“…The detection model accurately identified the majority of objects in the dataset.ResultsThis AI-assisted CFA was successfully applied for density optimization, enabling the determination of seeding densities that maximize plating efficiency (PE), and for IC50 determination, offering an efficient, less labor-intensive method for testing drug concentrations. …”
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Ensemble Techniques Based Risk Classification for Maternal Health During Pregnancy by Nurul Fathanah Mustamin, Ariyani Buang, Firman Aziz, Nur Hamdani Nur

“…Leveraging various classification methods, including Naïve Bayes, decision trees, and ensemble learning techniques, the study investigates the prediction of childbirth potential and pregnancy risks. …”
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Thrombospondin-1 induces immunogenic cell death in human mucoepidermoid carcinoma MC-3 cells via the PERK/eIF2α signaling pathway: potential implications for tumor immunotherapy by Yixuan Zhu, Kaizhi Cai, Lijuan Guo, Huan Zhang, Li Guan, Zongyao Zhang, Pengcheng Huang, Sen Yang

“…Abstract Objective To investigate whether Thrombospondin-1 (TSP-1) induces immunogenic cell death (ICD) in human mucoepidermoid carcinoma (MC-3) cells and explore its potential to induce calreticulin (CRT) exposure via the PERK/eIF2α signaling pathway. Methods The MC-3 cell line was used as the research model. …”
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Comparison of Human and Porcine Natural Tooth Fluorescence—A Scoping Study to Inform Research on Dental Materials and Forensic Dentistry by Thomas Corfield, Denice Higgins

“…Material and Methods This study compares visible light‐induced fluorescence of porcine and human teeth to assess the value of porcine teeth as human analogs. …”
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The biomarker potential of circPOLD1 and its binding protein YBX1 in cervical carcinogenesis by Lu Zhao, Xin Chen, Yanan Zhang, Yixuan Cen, Tingjia Zhu, Lingfang Wang, Lili Xia, Yang Li, Xiaodong Cheng, Xing Xie, Weiguo Lu, Junfen Xu

“…This study aimed to investigate the dynamic expression profiles of circRNAs across various stages of cervical cancer progression and identify potential biomarkers to enhance early detection. Methods CircRNA sequencing was performed on cervical tissues spanning normal cervical epithelium (NCE), high-grade squamous intraepithelial lesions (HSIL), and cervical squamous cell carcinoma (CSCC). …”
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Purification of Anti-Mycobacterium tuberculosis MPT64 Immunoglobulin-Y from Egg-Yolk Supernatant Using Thiophilic Adsorption Chromatography by Sri Agung Fitri Kusuma, Muhammad Fadhlillah, Intan Timur Maisyarah, Shintani Ayunda Khairunnisa, Muhammad Yusuf, Yaya Rukayadi, Toto Subroto

“…In this study, we aimed to optimize the recovery of pure IgY anti-MPT64 using thiophilic adsorption chromatography. …”
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Regression Testing in Agile—A Systematic Mapping Study by Suddhasvatta Das, Kevin Gary

“…<b>Results</b>: The findings strongly emphasize test prioritization and selection, reflecting the need for optimized fault detection and execution efficiency in agile workflows. …”
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Spectrum Sharing Design for Integrated Aeronautical Communication and Radar System by Lanchenhui Yu, Jingjing Zhao, Quan Zhou, Yanbo Zhu, Kaiquan Cai

“…Based on this framework, a joint optimization problem is formulated to maximize the weighted achievable sum rate and the sensing signal–clutter–noise ratio (SCNR) while satisfying the rate requirements for message transmission and ensuring the radar detection threshold. …”
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Non-destructive Identification of Moldy Walnuts by Fusing X-Ray and Visual Image Features by NING Xinyue, ZHANG Hui, JI Shuai, LAI Lisi

“…To address the difficulty of detecting moldy walnuts and the problem of low detection efficiency, a non-destructive method based on fused features of X-ray and visual images was proposed to accurately distinguish four grades of moldy walnuts: moldy both internally and externally, moldy internally and normal externally, normal internally and moldy externally, and normal both internally and externally. …”
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Cognitive dysfunction in diabetes – the ‘forgotten’ diabetes complication: a narrative review by Åke Sjöholm, Louise Bennet, Peter M. Nilsson

“…An important task for primary health care, where most patients with type 2 diabetes are diagnosed, treated, and followed, is to increase awareness and early detection of cognitive dysfunction in these patients for optimizing risk factor control.…”
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The Effect of Heat Stress on the Performance and Genetic Parameters of Milk Production, Reproduction, and Somatic Cell Scores in Iranian Holstein Cows by Reza Seyedsharifi, Fatemeh Ala Noshahr, Jamal Seif Davati, Nemat Hedayat Evrigh

“…Genetic parameters were estimated using an animal model and random regression under the Bayesian method using GIBSF90 software. Variance components were estimated using multi-trait repeatable test day models with random regression on THI values. …”
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Diagnostics and treatment of Helicobacter pylori infection in adults: Clinical guidelines of the Russian gastroenterological association by V. T. Ivashkin, I. V. Mayev, T. L. Lapina, A. A. Sheptulin, A. S. Trukhmanov, Ye. K. Baranskaya, R. A. Abdulkhakov, O. P. Alekseyeva, S. A. Alekseyenko, N. N. Dekhnich, R. S. Kozlov, I. L. Klyaritskaya, N. V. Korochanskaya, S. A. Kurilovich, M. F. Osipenko, V. I. Simanenkov, A. V. Tkachev, I. B. Khlynov, V. V. Tsukanov

“…H. pylori eradication optimization methods can be applied both to standard and alternative modes while combination of these approaches allows to achieve the best result in a given patient.…”
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Management of Chlamydia Cases in Australia (MoCCA): protocol for a non-randomised implementation and feasibility trial by Rebecca Guy, Marcus Y Chen, Basil Donovan, Jane S Hocking, Natalie Carvalho, Christopher Fairley, Claudia Estcourt, Meredith Temple-Smith, Jane Tomnay, Julie Simpson, David Regan, David Hawkes, Lena Sanci, Jane L Goller, Jacqueline Coombe, Helen Bittleston, Marion Saville, Lara Roeske

“…Introduction The sexually transmitted infection chlamydia can cause significant complications, particularly among people with female reproductive organs. Optimal management includes timely and appropriate treatment, notifying and treating sexual partners, timely retesting for reinfection and detecting complications including pelvic inflammatory disease (PID). …”
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Rock fracture type recognition based on deep feature learning of microseismic signals by LI Dianze, XU Huajie, ZHANG Bo

“…Microseismic monitoring has been widely used for detecting rock fractures. However, conventional machine learning methods for microseismic signal analysis exhibited limited feature extraction capabilities and were highly susceptible to noise, leading to reduced classification accuracy and poor generalization performance. …”
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