Effect of visceral fat area on prognosis of patients undergoing radical gastrectomy and construction of nomogram by Zhicheng Huang, Baohua Zheng, Zhiwei Wang, Xiaobin Chen, Yu Wang

“…Methods We retrospectively analyzed 156 patients who underwent laparoscopic radical gastrectomy for distal gastric cancer in the 900th hospital of the Joint Logistics Support Force from April 2018 to April 2020. We collected the CT image data and clinicopathological data one week prior to the operation and then used software to calculate the VFA, dividing it into two groups: a low VFA group (n = 71) and a high VFA group (n = 85). …”
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二甲双胍和孟鲁司特在急性和慢性过敏性哮喘小鼠模型中的作用 by 郭妍蓉, 严彦

“…各实验组小鼠处死后苏木素-伊红染色和马松染色分析小鼠的肺部病理特征；采用Image J软件进行气道炎症细胞浸润评分和胶原沉积评分，以及分析支气管形态参数，包括支气管壁厚度和支气管平滑肌厚度；采用ELISA方法检测小鼠血清总IgE水平，qRT-PCR检测炎症因子<italic>IL-4</italic>、<italic>IL-5</italic>、<italic>IL-13</italic> mRNA转录水平。…”
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Pro-inflammatory effects of inhaled Great Salt Lake dust particles by Jacob M. Cowley, Cassandra E. Deering-Rice, John G. Lamb, Erin G. Romero, Marysol Almestica-Roberts, Samantha N. Serna, Lili Sun, Kerry E. Kelly, Ross T. Whitaker, Jenna Cheminant, Alessandro Venosa, Christopher A. Reilly

“…Results Monitoring data and images highlight the impact of local crustal and Great Salt Lake sediment dusts on the Salt Lake Valley/Wasatch front airshed. …”
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Steady-state mixing state of black carbon aerosols from a particle-resolved model by Z. Zhang, Z. Zhang, J. Wang, J. Wang, J. Wang, J. Wang, N. Riemer, C. Liu, C. Liu, Y. Jin, Y. Jin, Z. Tian, Z. Tian, J. Cai, J. Cai, Y. Cheng, Y. Cheng, G. Chen, G. Chen, B. Wang, B. Wang, S. Wang, A. Ding, A. Ding

“…In the model simulation, the mean CT, equivalent to the <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">1</mn><mo>/</mo><mi>k</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="20pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="bbb65cad56c0d284439060f0b57b1898"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-1869-2025-ie00001.svg" width="20pt" height="14pt" src="acp-25-1869-2025-ie00001.png"/></svg:svg></span></span>, is 62 nm, which is consistent with the statistical results indicating a mean CT of 63 nm. …”
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Acaricidal and insecticidal activities of entomopathogenic nematodes combined with rosemary essential oil and bacterium-synthesized silver nanoparticles against camel tick, Hyalomm... by Bander Albogami, Hadeer Darwish, Akram Alghamdi, Ahmed BahaaEldin Darwish, Wafa Mohammed Al-Otaibi, Mohamed A. Osman, Zamzam M. Al Dhafar, Abeer Mousa Alkhaibari, Abadi M. Mashlawi, Fadi Baakdah, Ahmed Noureldeen

“…Visual observation showed a color change from yellow to dark brown for AgNPs biosynthesized from P. mirabilis; the transmission electron microscopy (TEM) image and ultraviolet–visible (UV-Vis) spectrum showed well-dispersed particles with a diameter of 5–45 nm; and the greatest surface plasmon peaked at 320 nm. …”
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Significant role of biomass burning in heavy haze formation in Nanjing, a megacity in China: molecular-level insights from intensive PM_2.5 sampling on winter hazy days by M. Kang, M. Kang, M. Bao, M. Bao, M. Bao, W. Song, W. Song, A. Abulimiti, A. Abulimiti, C. Wu, C. Wu, F. Cao, F. Cao, S. Szidat, Y. Zhang, Y. Zhang

“…Results show that organic matter was the predominant species, followed by nitrate (NO<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M5" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi/><mn mathvariant="normal">3</mn><mo>-</mo></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="9pt" height="16pt" class="svg-formula" dspmath="mathimg" md5hash="8c72af1edd6d67ed562efcaf5163d22b"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-73-2025-ie00001.svg" width="9pt" height="16pt" src="acp-25-73-2025-ie00001.png"/></svg:svg></span></span>). …”
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Differences in Optical Two-dimensional Morphological Characteristics of Downward Lightning Channels with Different Polarities by Mei Ji, Lü Weitao, Qi Qi, Xu Weiqun, Wu Bin, Ma Ying, Liu Hengyi, Chen Lüwen, Zhang Yang

“…There remains a lack of clarity concerning the morphological characteristics associated with the development of positive CG lightning channels, as well as the morphological differences between positive and negative CG lightning channels.Based on a collection of digital images of 50 CG lightning events (25 positive and 25 negative), the optical two-dimensional morphological characteristics of lightning channels with different polarities are investigated and compared. …”
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Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer by Pu Zhou, Pu Zhou, Hongyan Qian, Pengfei Zhu, Jiangyuan Ben, Jiangyuan Ben, Guifang Chen, Qiuyi Chen, Lingli Chen, Jia Chen, Ying He, Ying He

“…BackgroundThis study explores the clinical value of a machine learning (ML) model based on ultrasound radiomics features of primary foci, combined with clinicopathologic factors to predict the pathological complete response (pCR) of neoadjuvant chemotherapy (NAC) for patients with breast cancer (BC).MethodWe retrospectively analyzed ultrasound images and clinical information from 231 participants with BC who received NAC. …”
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Whole lung radiomic features are associated with overall survival in patients with locally advanced non-small cell lung cancer treated with definitive radiotherapy by Meng Yan, Zhen Zhang, Jia Tian, Jiaqi Yu, Andre Dekker, Dirk de Ruysscher, Leonard Wee, Lujun Zhao

“…Tumor-based radiomic features and whole lung-based radiomic features were extracted from primary tumor and whole lungs (excluding the primary tumor) delineations in planning CT images. Feature selection of radiomic features was done by the least absolute shrinkage (LASSO) method embedded with a Cox proportional hazards (CPH) model with 5-fold cross-internal validation, with 1000 bootstrap samples. …”
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Reservoir water level decline accelerates ground subsidence: InSAR monitoring and machine learning prediction of surface deformation in the Three Gorges Reservoir area by Jiaer Yang, Jiaer Yang, Pinglang Kou, Pinglang Kou, Xu Dong, Xu Dong, Ying Xia, Qinchuan Gu, Yuxiang Tao, Jiangfan Feng, Qin Ji, Weizao Wang, Ram Avtar

“…This study combines SBAS-InSAR technology and machine learning to analyze and predict surface deformation in Fengjie County, Chongqing, China, between 2020 and 2022, focusing on riverside urban ground, riverside road slopes, and ancient landslides in the reservoir area.MethodsSBAS-InSAR technology was applied to 36 Sentinel-1A images to monitor surface deformation, complemented by hydrological and meteorological data. …”
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Deep-Reticular Pseudodrusen-Net: A 3-Dimensional Deep Network for Detection of Reticular Pseudodrusen on OCT Scans by Amr Elsawy, PhD, Tiarnan D.L. Keenan, PhD, MD, Alisa T. Thavikulwat, MD, Amy Lu, MD, Sunil Bellur, MD, Souvick Mukherjee, PhD, Elvira Agron, MS, Qingyu Chen, PhD, Emily Y. Chew, MD, Zhiyong Lu, PhD

“…The AREDS2 RPD labels were transferred from fundus autofluorescence images, which were captured at the same visit for OCT scans, and DAAMD RPD labels were obtained from the Wisconsin reading center. …”
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Estimation des rendements fourragers des pâturages dans les espaces climatiques du Burkina Faso à partir de données satellitaires by Wièmè Some, Antoine Denis, Amani Louis Kouadio, Bakary Djaby, Hassan Bismark Nacro, Adrien Marie Gaston Belem, Bernard Tychon

“…Conclusions: Une série de recommandations a été identifiée pour améliorer le couplage entre données de biomasse végétale fourragère collectées sur le terrain et variables extraites des images satellitaires, et ainsi améliorer la performance des modèles. …”
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Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer by Jing Wang, Zhe Li, Wei Wang, Md Tauhidul Islam, Xiaoyan Wang, Zhen Han, Zihan Li, Guoxin Li, Yuming Jiang, Taojun Zhang, Wenjun Xiong, Zepang Sun, Lequan Yu, Zhicheng Zhang, Xianqi Yang, Shengtian Sang, Alyssa A Guo

“…The aim of this study was to develop and validate a pathomics-driven ensemble model for predicting the response to ICIs in gastric cancer, using H&amp;E-stained whole slide images (WSI).Methods This multicenter study retrospectively collected and analyzed H&amp;E-stained WSIs and clinical data from 584 patients with gastric cancer. …”
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PENGEMBANGAN INSTRUMEN PENILAIAN HASIL BELAJAR FISIKA BERORIENTASI HOTS (Higher Order Thinking Skills) PADA MATERI ELASTISITAS DAN HUKUM HOOKE by Dona Desilva, Indra Sakti, Rosane Medriati

“…The results of the research and the development showed that 1) The HOTS instrument design had the form of the question in multiple choice and essay, presentation of the questions in paper test, context of the question as outside the classroom (contextual), subject matter in Elasticity and Hooke's Law and indicators of the question in HOTS, 2) Validity test results by expert judgment and practitioners which was in the very valid category with a percentage of 97.14% for the material aspect, 98.33% for the construction aspect and 100% for the language aspect, and 3) The characteristics of HOTS instruments was referred to the HOTS indicator (at the cognitive level C4 or C5 or C6), used the Operational Verb (KKO) level C4 or C5 or C6, contextual and used stimulus (texts, images, tables).   Keywords: HOTS, assessment instruments, learning outcomes, research and development, Elasticity and Hooke's Law …”
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Analysis of the Spatial Pattern of Military River Defense on the Ming Great Wall: A Case Study of the Shanxi Section of the Yellow River by Tianlian WANG, Zhe LI

“…MethodsThe quantitative analysis is conducted using the ArcGIS geographic information platform, involving the review of historical documents, the field investigation of existing sites, the utilization of drones for low-altitude image data collection for purpose of generating 3D real scene model, and the integration of historical aerial films and other multi-source data.The specific methodology comprises two key components: Firstly, analyzing the constituent elements of the defense system of river defence space and summarizing their functional attributes based on the theoretical framework of the Ming Great Wall’s military defence; secondly, summarizing the spatial distribution characteristics of river defence elements by incorporating changes in geographic location, hydrology, environment, and other natural factors. …”
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Advanced Fractional Mathematics, Fractional Calculus, Algorithms and Artificial Intelligence with Applications in Complex Chaotic Systems by Dumitru Baleanu, Yeliz Karaca

“…Thus, fields with a broad range of spectrum range from mathematics, physics, biology, fluid mechanics, medicine, engineering, image analysis, based on differing perspectives in our special issue which presents a compilation of recent research elaborating on the related advances in foundations, theory, methodology and topic-based implementations regarding fractals, fractal methodology, fractal spline, non-differentiable fractal functions, fractional calculus, fractional mathematics, fractional differential equations, differential equations (PDEs, ODEs), chaos, bifurcation, Lie symmetry, stability, sensitivity, deep learning approaches, machine learning, and so forth through advanced fractional mathematics, fractional calculus, data intensive schemes, algorithms and machine learning applications surrounding complex chaotic systems.…”
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Cantelli’s Bounds for Generalized Tail Inequalities by Nicola Apollonio

“…Three diverse applications to random matrices, tails of linear images of random vectors, and network homophily are also given.…”
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Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

“…YOLOv4 is a widely used OD model with a backbone for image feature extraction and a prediction layer. …”
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Technical note: Towards atmospheric compound identification in chemical ionization mass spectrometry with pesticide standards and machine learning by F. Bortolussi, H. Sandström, F. Partovi, F. Partovi, J. Mikkilä, P. Rinke, P. Rinke, P. Rinke, P. Rinke, M. Rissanen, M. Rissanen

“…The CIMS measurements were performed with an Orbitrap mass spectrometer coupled to a thermal desorption multi-scheme chemical ionization inlet unit (TD-MION-MS) with both negative and positive ionization modes utilizing <span class="inline-formula">Br⁻</span>, <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><msubsup><mi mathvariant="normal">O</mi><mn mathvariant="normal">2</mn><mo>-</mo></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="17pt" height="16pt" class="svg-formula" dspmath="mathimg" md5hash="0874c22b59d147314cd2f8e88d131371"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-685-2025-ie00001.svg" width="17pt" height="16pt" src="acp-25-685-2025-ie00001.png"/></svg:svg></span></span>, <span class="inline-formula">H₃O⁺</span> and <span class="inline-formula">(CH₃)₂COH⁺</span> (<span class="inline-formula">AceH⁺</span>) as reagent ions. …”
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Temperatura de superficie en el Valle del Río Neuquén Utilizando Imágenes LANDSAT by Marisa Gloria Cogliati

“…In this paper, the seasonal variation of surface temperature is analyzed by LANDSAT7 ETM + thermal channel information considering an area of the productive valley of the Neuquén River. Landsat 7 ETM + images offer information with 60 m of spatial resolution; its behavior showed agreement with topography. …”
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