Optimasi Data Tidak Seimbang pada Interaksi Drug Target dengan Sampling dan Ensemble Support Vector Machine by Nabila Sekar Ramadhanti, Wisnu Ananta Kusuma, Annisa Annisa

“…These method already solve the imbalanced data problem on other kind of data like image data. This research is focusing on exploration of effect on the sampling that used in these method for compound-protein interaction data. …”
Get full text

Faktor Risiko Terjadinya Ulkus Diabetikum pada Pasien Diabetes Mellitus yang Dirawat Jalan dan Inap di RSUP Dr. M. Djamil dan RSI Ibnu Sina Padang by Rizky Loviana Roza, Rudy Afriant, Zulkarnain Edward

“…Amputation has a major impact on individual, not only in distorting body image, but also loss of productivity, increasing dependency, and expensive cost of treating foot ulcer. …”
Get full text

Rancang Bangun Purwarupa Pemilah Sampah Pintar Berbasis Deep Learning by Kahlil Muchtar, Nyak Twoman Anshari, Chairuman Chairuman, Khalid Alhabibie, Khairul Munadi

“…In this case, Deep Learning, a branch of (Machine Learning) is used to be able to understand a set of images and classify them. Deep Learning method applied here is using Convolutional Neural Network (CNN). …”
Get full text

A visual walkthrough of robotic partial mesorectal excision using the Versius surgical system by Amro Mureb

“…Post-TNT magnetic resonance image (MRI) showed significant tumour regression and flexible sigmoidoscopy showed stricture around 11 cm from the anal verge. …”
Get full text

AI prediction model for endovascular treatment of vertebrobasilar occlusion with atrial fibrillation by Zhi-Xin Huang, Andrea M. Alexandre, Alessandro Pedicelli, Xuying He, Quanlong Hong, Yongkun Li, Ping Chen, Qiankun Cai, Aldobrando Broccolini, Luca Scarcia, Serena Abruzzese, Carlo Cirelli, Mauro Bergui, Andrea Romi, Erwah Kalsoum, Giulia Frauenfelder, Grzegorz Meder, Simona Scalise, Maria Porzia Ganimede, Luigi Bellini, Bruno Del Sette, Francesco Arba, Susanna Sammali, Andrea Salcuni, Sergio Lucio Vinci, Giacomo Cester, Luisa Roveri, Xianjun Huang, Wen Sun

Get full text

Inhibition of microRNA-139-5p Improves Fibroblasts Viability and Enhances Wound Repair in Diabetic Rats Through AP-1 (c-Fos/c-Jun) by Mo J, Zhang J, Meng X, Wang F, Tang W, Liu Y, Fu L, Liang F, Mo Z

“…Wound healing was analyzed using Image J, histological analysis and molecular analysis. …”
Get full text

Synthesizing field plot and airborne remote sensing data to enhance national forest inventory mapping in the boreal forest of Interior Alaska by Pratima Khatri-Chhetri, Hans-Erik Andersen, Bruce Cook, Sean M. Hendryx, Liz van Wagtendonk, Van R. Kane

“…Our datasets included field and high-resolution topographic metrics including elevation, slope, aspect, and solar radiation and canopy height derived from lidar (1 m) and 44 vegetation indices derived from high-resolution (1 m) visible to near infrared (VNIR) hyperspectral data collected by NASA Goddard's Lidar, Hyperspectral and Thermal Imager (G-LiHT) sensor. The remote sensing data were collected under variable sky conditions (clear to overcast) throughout a 1-month growing-season period, and field data collected by United States Department of Agriculture (USDA) Forest Service, Forest Inventory and Analysis program (FIA). …”
Get full text

Preliminary clinical performance of a Cas13a-based lateral flow assay for detecting Neisseria gonorrhoeae in urine specimens by Lao-Tzu Allan-Blitz, Gordon Adams, Gabriela Sanders, Palak Shah, Krithik Ramesh, Jana Jarolimova, Kevin L. Ard, John A. Branda, Jeffrey D. Klausner, Pardis C. Sabeti, Jacob E. Lemieux

“…We also trained a smartphone-based machine-learning model on 1,008 images to classify lateral flow results. We used the model to interpret lateral flow results from the clinical specimens. …”
Get full text

Experimental Study of Steady Blowing from the Trailing Edge of an Open Cavity Flow by Naser Al Haddabi, Konstantinos Kontis, Hossein Zare-Behtash

“…The aim of this study was to investigate the impact of the steady jet on the time-averaged flow field and the cavity separated shear layer oscillations for an open cavity with a length-to-depth ratio of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>L</mi><mo>/</mo><mi>D</mi><mo>=</mo><mn>4</mn></mrow></semantics></math></inline-formula> at <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>R</mi><msub><mi>e</mi><mi>θ</mi></msub><mo>=</mo><mn>1.28</mn><mo>×</mo><msup><mn>10</mn><mn>3</mn></msup></mrow></semantics></math></inline-formula>. Particle image velocimetry, surface oil flow visualisation, constant temperature anemometry, and pressure measurements were performed. …”
Get full text

Human-Centered Design of an mHealth Tool for Optimizing HIV Index Testing in Wartime Ukraine: Formative Research Case Study by Nancy Puttkammer, Elizabeth Dunbar, Myroslava Germanovych, Mariia Rosol, Matthew Golden, Anna Hubashova, Vladyslav Fedorchenko, Larisa Hetman, Liudmyla Legkostup, Jan Flowers, Olena Nesterova

“…Prioritized features included information about the benefits of HIV index testing; a nonjudgmental, self-guided questionnaire to report partners; client stories; and bright images to accompany the text. Two-way SMS text messaging between clients and HCWs was deemed impractical based on risks of privacy breaches, national patient privacy regulations, and HCW workload. …”
Get full text

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). …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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 …”
Get full text

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. …”
Get full text