Experimental determination of TNT equivalence values for binary energetic materials by Gracie May M. James, Rachel L. Bauer, Emily M. Johnson, Catherine E. Johnson

“…Despite widespread use in industry, military, and research, many binary energetics lack published TNT equivalence values. …”
Get full text

A practical evaluation of AutoML tools for binary, multiclass, and multilabel classification by Marcelo V. C. Aragão, Augusto G. Afonso, Rafaela C. Ferraz, Rairon G. Ferreira, Sávio G. Leite, Felipe A. P. de Figueiredo, Samuel B. Mafra

“…A key contribution of our study is the in-depth assessment of multilabel classification, exploring both native and label-powerset representations and revealing that several tools lack robust multilabel capabilities. Our findings demonstrate that AutoSklearn excels in predictive performance for binary and multiclass settings, albeit at longer training times, while Lightwood and AutoKeras offer faster training at the cost of predictive performance on complex datasets. …”
Get full text

Emergency Physicians’ and Nurses’ Perspectives on Transgender, Intersexual, and Non-Binary Patients in Germany by Torben Brod, Carsten Stoetzer, Christoph Schroeder, Stephanie Stiel, Kambiz Afshar

“…Emergency physicians (EP) often lack formal training and knowledge about caring for TIN patients, while comparatively less evidence is available for other healthcare professionals, including emergency nurses (EN). …”
Get full text

Lack of agency and sexual behaviors among married women: a study of population-based HIV impact assessment (PHIA) surveys in Malawi, Tanzania and Zambia by Roya Sherafat-Kazemzadeh, Gary Gaumer, William Crown, Elad Daniels, Jessica Brown, Fairooz Newaz, Allyala Nandakumar

“…We hypothesized that women’s lack of agency in decision-making and taking discernible actions reduces the beneficial impact of HIV-related knowledge…”
Get full text

DCNN: a novel binary and multi-class network intrusion detection model via deep convolutional neural network by Ahmed Shebl, E. I. Elsedimy, A. Ismail, A. A. Salama, Mostafa Herajy

“…However, they solely focus on binary classification and lack reporting on individual class performance in case of multi-class classification. …”
Get full text

Genetic transformation of Primula sieboldii using Agrobacterium rhizogenes and whole-plant regeneration from transgenic hairy roots by Karol Gad, Cuong Nguyen Huu, Sylvia Plaschil, Christian Kappel, Michael Lenhard

“…Morren is a widely cultivated ornamental plant with horticultural and pharmacological value. However, the lack of a developed transformation system has limited genetic studies and biotechnological applications of this species. …”
Get full text

Automated dynamic phenotyping of whole oilseed rape (Brassica napus) plants from images collected under controlled conditions by Evangeline Corcoran, Kasra Hosseini, Kasra Hosseini, Laura Siles, Smita Kurup, Sebastian Ahnert, Sebastian Ahnert

“…However, automated methods capable of reliably and efficiently extracting meaningful measurements of individual plant components (e.g. leaves, flowers, pods) from imagery of whole plants are currently lacking. In this study, we explore interdisciplinary application of MapReader, a computer vision pipeline for annotating and classifying patches of larger images that was originally developed for semantic exploration of historical maps, to time-series images of whole oilseed rape (Brassica napus) plants.MethodsModels were trained to classify five plant structures in patches derived from whole plant images (branches, leaves, pods, flower buds and flowers), as well as background patches. …”
Get full text

Cytotoxic Profiles of Beauvericin, Citrinin, Moniliformin, and Patulin and Their Binary Combinations: A Literature-Based Comparison and Experimental Validation in SH-SY5Y Cells by Claudia Moyano-López, Luna Bridgeman, Cristina Juan, Ana Juan-García

“…Experimentally, PAT demonstrated the highest toxicity in SH-SY5Y cells, while MON was the least toxic. Among combinations, BEA + MON and CTN + PAT showed the greatest reduction in cell viability. …”
Get full text

Inequities in HIV prevention among trans and/or non-binary people: a cross-sectional survey analysis of PrEP and PEP awareness and use in Spain by Sara Moreno-García, Paule González-Recio, Marta Donat, Carlos Iniesta, Cinta Folch, María Alonso-Colón, Juan Miguel Guerras, María José Belza

“…Conclusions Awareness of PrEP is moderate, while that of PEP is lower; in both cases, there is a high lack of knowledge about how to access them, and use of both strategies is low. …”
Get full text

A Hankelization-Based Neural Network-Assisted Signal Classification in Integrated Sensing and Communication Systems by Linyi Zhang, Mustafa Ozger, Woong-Hee Lee

Get full text

Investigating the contributory factors influencing speeding behavior among long-haul truck drivers traveling across India: Insights from binary logit and machine learning technique... by Balamurugan Shandhana Rashmi, Sankaran Marisamynathan

“…A total of 756 valid samples were collected and utilized for analysis purposes. While conventional statistical methods like binary logit technique lacked prediction capabilities, machine learning (ML) algorithms including decision tree (DT), random forest (RF), adaptive boosting (AdaBoost), and extreme gradient boosting (XGBoost) were employed to model speeding behavior among LHTDs. …”
Get full text

Agricultural Water Management Problems in Hatay (Turkey) by Bekir Demirtaş, Erdal Dağıstan, Yalçın Yılmaz, Nuran Tapkı

Get full text

Making the Invisible Visible: Magnetic Fields in Accretion Flows Revealed by X-Ray Polarization by Samuel Barnier, Chris Done

Get full text

Imprints of Different Types of Low-angular-momentum Accretion Flow Solutions in General Relativistic Hydrodynamic Simulations by Indu K. Dihingia, Akhil Uniyal, Yosuke Mizuno

“…Such flows, relevant to X-ray binaries and wind-fed low-luminosity active galactic nuclei, often lack sufficient angular momentum to form standard accretion disks. …”
Get full text

Long-term Astrometric Monitoring of the Galactic Center Magnetar PSR J1745−2900 by Geoffrey C. Bower, Adam T. Deller, Paul B. Demorest, Jason Dexter, Andreas Brunthaler, Gregory Desvignes, Ralph P. Eatough, Heino Falcke, Ciriaco Goddi, Michael Kramer, F. Yusef-Zadeh

“…We consider several potential sources of systematic variations in the astrometric residuals after fitting for standard parameters, including refractive wander, changes in the structure of Sgr A*, and the presence of an unseen binary companion. While a stellar companion model can be fit to the astrometric data, pulse period measurements are inconsistent with that model. …”
Get full text

The impact of integrated genomic surveillance on non-typhoidal Salmonella infection in Australia: an ecological studyResearch in context by Son Nghiem, Nhung Mai, My Tran, Danielle M. Cribb, Liliana Bulfone, Patiyan Andersson, Alireza Zahedi, Tuyet Hoang, Tehzeeb Zulfiqar, Angeline Ferdinand, Katie Glass, Martyn D. Kirk, Vitali Sintchenko, Amy V. Jennison, Benjamin P. Howden, Emily Lancsar

“…Summary: Background: Whole Genome Sequencing (WGS) is a powerful technology for monitoring and detecting outbreaks of infectious pathogens, including non-typhoidal Salmonella (NTS). …”
Get full text

Improved prediction and risk stratification of major adverse cardiovascular events using an explainable machine learning approach combining plasma biomarkers and traditional risk f... by Xi-Ru Zhang, Wen-Fang Zhong, Rui-Yan Liu, Jie-Lin Huang, Jing-Xiang Fu, Jian Gao, Pei-Dong Zhang, Dan Liu, Zhi-Hao Li, Yan He, Hongwei Zhou, Zhuang Li

“…Traditional risk models, primarily based on established risk factors, often lack the precision needed to accurately predict new-onset major adverse cardiovascular events (MACE). …”
Get full text

Should annual cost of the drug inform reimbursement decisions? A perspective from China’s healthcare security system by Xiaochen Peng, Xiaochen Peng, Haiyin Wang, Hui Sun, Xiaoxiao Qin, Zhe Huang

“…However, the current approach lacks a robust theoretical foundation and quantitative evidence.ObjectiveThis study aims to explore the rationale for incorporating ACD as a constraint in reimbursement decision-making framework, and to estimate a practical ACD threshold for China’s basic medical insurance (BMI) system.MethodsBinary logistic regression was employed to analyze the impact of ACD on patients’ financial burden. …”
Get full text

Under-nutrition and its associated factors among under-five children across urban and rural settings of Ethiopia: a cross-sectional comparative study by Amare Wubishet Ayele, Emmanuel Gabreyohannes, Yegnanew A. Shiferaw

“…Descriptive statistics were used to summarize the data, while a multivariable binary logistic regression model was employed to identify factors associated with under-nutrition among under-five children. …”
Get full text

An X-Ray Shell Reveals the Supernova Explosion for Galactic Microquasar SS 433 by Yi-Heng Chi, Jiahui Huang, Ping Zhou, Hua Feng, Xiang-Dong Li, Sera B. Markoff, Samar Safi-Harb, Laura Olivera-Nieto

Get full text