Analysis of Microbiome for AP and CRC Discrimination by Alessio Rotelli, Ali Salman, Leandro Di Gloria, Giulia Nannini, Elena Niccolai, Alessio Luschi, Amedeo Amedei, Ernesto Iadanza

“…In detail, 34 samples are from 16 adenomatous polyps (AP) patients, while 114 samples are from 46 colorectal cancer (CRC) patients. …”
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Smart Management of Energy Losses in Distribution Networks Using Deep Neural Networks by Ihor Blinov, Virginijus Radziukynas, Pavlo Shymaniuk, Artur Dyczko, Kinga Stecuła, Viktoriia Sychova, Volodymyr Miroshnyk, Roman Dychkovskyi

“…Two predictive approaches were explored: the first involves separate forecasting of nodal loads followed by loss calculations, while the second directly estimates network-wide energy losses. …”
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Carbohydrate and lipid metabolism disorders in women with primary hyperparathyroidism: results of cross-sectional study by Natalia G. Mokrysheva, Ekaterina A. Dobreva, Svetlana S. Mirnaya, Ivan I. Dedov

“…Results: The symptomatic PHPT was associated with low body mass index (BMI) while the mild PHPT with high BMI. During an oral glucose tolerance test, the postprandial glycemia in symptomatic PHPT was significantly higher than that in mild PHPT (p = 0.036). …”
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Multi-Sensor Fusion and Machine Learning for Forest Age Mapping in Southeastern Tibet by Zelong Chi, Kaipeng Xu

“…The study employs the Continuous Degradation Detection (CODED) algorithm combined with spectral unmixing models and Normalized Difference Fraction Index (NDFI) time series analysis to update forest disturbance information and provide annual forest distribution, mapping young forest distribution. …”
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ST-YOLO: a deep learning based intelligent identification model for salt tolerance of wild rice seedlings by Qiong Yao, Qiong Yao, Pan Pan, Pan Pan, Xiaoming Zheng, Xiaoming Zheng, Guomin Zhou, Guomin Zhou, Guomin Zhou, Jianhua Zhang, Jianhua Zhang

“…Diversified feature extraction paths are introduced to enhance the ability of feature extraction; Introducing CAFM (Context Aware Feature Modulation) convolution and attention fusion modules into the backbone network to enhance feature representation capabilities while improving the fusion of features at various scales; Design a more flexible and effective spatial pyramid pooling layer using deformable convolution and spatial information enhancement modules to improve the model’s ability to represent target features and detection accuracy.ResultsThe experimental results show that the improved algorithm improves the average precision by 2.7% compared with the original network; the accuracy rate improves by 3.5%; and the recall rate improves by 4.9%.ConclusionThe experimental results show that the improved model significantly improves in precision compared with the current mainstream model, and the model evaluates the salt tolerance level of wild rice varieties, and screens out a total of 2 varieties that are extremely salt tolerant and 7 varieties that are salt tolerant, which meets the real-time requirements, and has a certain reference value for the practical application.…”
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JAK2 Inhibitors and Emerging Therapies in Graft-Versus-Host Disease: Current Perspectives and Future Directions by Behzad Amoozgar, Ayrton Bangolo, Abdifitah Mohamed, Charlene Mansour, Daniel Elias, Christina Cho, Siddhartha Reddy

“…Recent advances in biomarker development, such as the MAGIC Algorithm Probability (MAP), are enabling early risk stratification and response prediction. …”
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DCMC-UNet: A Novel Segmentation Model for Carbon Traces in Oil-Immersed Transformers Improved with Dynamic Feature Fusion and Adaptive Illumination Enhancement by Hongxin Ji, Jiaqi Li, Zhennan Shi, Zijian Tang, Xinghua Liu, Peilin Han

“…For blurred carbon trace images caused by unstable light reflection and illumination in transformer oil, an improved CLAHE algorithm is developed, incorporating learnable parameters to balance luminance and contrast while enhancing edge features of carbon traces. …”
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Desalination and Sterilization of Sea Water Using Active Optimized Optical Heat Concentration System by Hifsa Shahid, Umar Rashid, Haris Anwaar, Muhammad Salim Butt, Fahim Gohar Awan, Farhan Ahmad Butt, Frederic Nzanywayingoma

“…The light rays are concentrated by top Fresnel lenses, while the bottom Fresnel lens produces a parallel beam of concentrated light that falls on a copper slab inside the reservoir, vaporizing the desalinated water to maintain a clean water supply. …”
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Modeling the Potential Distribution of <i>Aulonemia queko</i>: Historical, Current, and Future Scenarios in Ecuador and Other Andean Countries by Hugo Cedillo, Luis G. García-Montero, Omar Cabrera, Mélida Rocano, Andrés Arciniegas, Oswaldo Jadán

“…Maxent was identified as the best algorithm, achieving high values of AUC, TSS, sensitivity, and specificity. …”
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Vitamin C improves 28-day survival in patients with sepsis-associated acute kidney injury in the intensive care unit: a retrospective study by Yang He, Jinglan Liu

“…Consistency was maintained across PSM, paired algorithm, and overlap weighting analyses, with all p &lt; 0.001.ConclusionVitamin C supplementation during ICU admission may be associated with reduced in-hospital mortality in SA-AKI patients. …”
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Research on ecological management zoning in Jilin Province based on a human well-being framework by Baihao Zhang, Jiafu Liu, Zhenyu Zhang, Yu Zhu

“…To further delineate ecological management zones, the SC K-means clustering algorithm and the coupling coordination degree model are employed. …”
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Diagnostic performance of actigraphy in Alzheimer’s disease using a machine learning classifier – a cross-sectional memory clinic study by Mathias Holsey Gramkow, Andreas Brink-Kjær, Frederikke Kragh Clemmensen, Nikolai Sulkjær Sjælland, Gunhild Waldemar, Poul Jennum, Steen Gregers Hasselbalch, Kristian Steen Frederiksen

“…We derived movement patterns (walking, running, resting, etc.) from raw accelerometry data using a proprietary algorithm. By evaluating the movement patterns during day and nighttime, we calculated 510 activity-related features, including robustness and fragmentation of the circadian rhythm. …”
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Dual Loop FOPI Controller-Based Equilibrium Optimizer Tuning Approach for Three-Phase Interleaved Boost Converter: PEMFC HEVs by Salah Okba, Ramzi Saadi, Mohamed Yacine Hammoudi, Yassine Himeur, Abir Betka, Shadi Atalla, Wathiq Mansoor

“…This approach aims to swiftly adjust to changes in load and disturbances while maintaining high-quality dynamic performance, even in open circuit faults (OCF) scenarios. …”
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Co‐Expression of MHC‐II and ANXA1: Mediators of PD‐1/PD‐L1 Therapy Resistance in Breast Cancer by Hao Wang, Ji‐Feng Sun, Chen Wang, Zhan‐Sheng Jiang, Zhong‐Sheng Tong

“…ABSTRACT Background Triple‐negative breast cancer (TNBC) presents significant treatment challenges and poor prognosis. While immune checkpoint blockade (ICB) therapy shows promise, patient responses vary widely, highlighting the urgent need for reliable biomarkers to predict efficacy and guide treatment decisions. …”
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Multi-sensor near-realtime burnt area monitoring using a superpixel-based graph convolutional network approach by Michael Nolde, Moritz Rösch, Torsten Riedlinger, Hannes Taubenböck

“…The proposed methodology combines a superpixel segmentation algorithm with rule-based and deep learning classification techniques to accurately derive burnt areas (BA) in NRT. …”
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Untargeted pixel-by-pixel metabolite ratio imaging as a novel tool for biomedical discovery in mass spectrometry imaging by Huiyong Cheng, Dawson Miller, Nneka Southwell, Paola Porcari, Joshua L Fischer, Isobel Taylor, J Michael Salbaum, Claudia Kappen, Fenghua Hu, Cha Yang, Kayvan R Keshari, Steven S Gross, Marilena D'Aurelio, Qiuying Chen

“…Mass spectrometry imaging (MSI) is a powerful technology used to define the spatial distribution and relative abundance of metabolites across tissue cryosections. While software packages exist for pixel-by-pixel individual metabolite and limited target pairs of ratio imaging, the research community lacks an easy computing and application tool that images any metabolite abundance ratio pairs. …”
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Evidence of compensatory neural hyperactivity in a subgroup of breast cancer survivors treated with chemotherapy and its association with brain aging by Michele M. Mulholland, Alexa Stuifbergen, Alexa De La Torre Schutz, Oscar Y. Franco Rocha, Douglas W. Blayney, Shelli R. Kesler

“…We also calculated the brain age gap by applying a previously validated algorithm to anatomic MRI.ResultsWe found that neural activity differed across the three CRCI biotypes and controls (F = 13.5, p &lt; 0.001), with Biotype 2 demonstrating significant hyperactivity compared to the other groups (p &lt; 0.004, corrected), primarily in prefrontal regions. …”
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Outage Performance and Novel Loss Function for an ML-Assisted Resource Allocation: An Exact Analytical Framework by Nidhi Simmons, David E. Simmons, Michel Daoud Yacoub

“…Additionally, when applied to another ML-based resource allocation scheme (a modified greedy algorithm), our proposed loss function maintains its efficacy.…”
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A framework for flood risk zoning and prioritization combining maximum entropy and game theory by Ali Haghizadeh, Reza Fathiganji, Ehsan Sohrabi, Aghdas Lotfi, Leila Ghasemi

“…Variable selection was performed using the Random Forest algorithm, resulting in the identification of nine key factors influencing flood occurrence. …”
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Racial and ethnic disparities in social isolation and 11-year dementia risk among older adults in the United States by J. Grullon, D. Soong, R. Wong

“…Dementia status was determined using a validated NHATS algorithm. We constructed a longitudinal score using a validated social isolation variable for our sample of 6,155 community-dwelling respondents. …”
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