Development of Deep Learning Models for Real-Time Thoracic Ultrasound Image Interpretation by Austin J. Ruiz, Sofia I. Hernández Torres, Eric J. Snider

“…Thoracic injuries account for a high percentage of combat casualty mortalities, with 80% of preventable deaths resulting from abdominal or thoracic hemorrhage. An effective method for detecting and triaging thoracic injuries is point-of-care ultrasound (POCUS), as it is a cheap and portable noninvasive imaging method. …”
Get full text

Analysis of multiple faults in induction motor using machine learning techniques by Puja Pohakar, Ravi Gandhi, Surender Hans, Gulshan Sharma, Pitshou N. Bokoro

“…Traditional diagnostic methods are expert judgment-based and pre-threshold-based and, therefore, less efficient when dealing with vast industrial processes. …”
Get full text

Dietary patterns among Afghan adults and their associations with overweight and obesity: a cross-sectional study in Kandahar, Afghanistan by Mohammad Sediq Sahrai, Laure Dossus, Carine Biessy, Sabina Rinaldi, Pietro Ferrari, Abdul Wahed Wasiq, Marc J. Gunter, Inge Huybrechts

“…Associations of fruits and vegetables and traditional dietary patterns with obesity deserve further evaluation in a larger sample and with more detailed dietary intake assessment methods that also consider preparation methods and food processing.…”
Get full text

Streamlining systematic reviews with large language models using prompt engineering and retrieval augmented generation by Fouad Trad, Ryan Yammine, Jana Charafeddine, Marlene Chakhtoura, Maya Rahme, Ghada El-Hajj Fuleihan, Ali Chehab

“…We analyzed Rayyan’s title/abstract screening performance using different inclusion thresholds. For the LLM, we used prompt engineering for title/abstract screening and Retrieval-Augmented Generation (RAG) for full-text screening. …”
Get full text

Identification of Mattic Epipedon Degradation on the Northeastern Qinghai–Tibetan Plateau Using Hyperspectral Data by Junjun Zhi, Hong Zhu, Jingwen Yang, Qiuchen Yan, Dandan Zhi, Zhongbao Sun, Liangwei Ge, Chengwen Lv

“…However, efficient and rapid methods for its detection remain limited. This study aimed to clarify the hyperspectral response mechanisms of mattic epipedon degradation and, based on hyperspectral technology, to construct models for identifying degraded mattic epipedon and screen preprocessing methods suitable for different moisture conditions. …”
Get full text

Client Selection in Federated Learning on Resource-Constrained Devices: A Game Theory Approach by Zohra Dakhia, Massimo Merenda

“…Under realistic simulations of client heterogeneity, RBPS yields more robust and efficient training compared to existing methods, confirming its suitability for deployment in resource-constrained FL settings. …”
Get full text

Reference Values for DXA-Derived Visceral Adipose Tissue in Adults 40 Years and Older from a European Population: The Tromsø Study 2015–2016 by Marie W. Lundblad, Bjarne K. Jacobsen, Jonas Johansson, Emanuella De Lucia Rolfe, Sameline Grimsgaard, Laila A. Hopstock

“…Reference values for visceral adipose tissue (VAT) are needed and it has been advocated that body composition measures depend on both the technique and methods applied, as well as the population of interest. …”
Get full text

Subcortical and white matter alterations in canine ventriculomegaly: an observational volumetric and voxel-based-morphometry study by Tom Cornelius Cyriacks, Martin J. Schmidt, Eberhard Ludewig, Johannes Boltze, Robert Dahnke, Simone A. Fietz, Björn Nitzsche

“…In this observational study, we focused on ventriculomegaly and examined the cerebral anatomical adaptations that accommodate the increased ventricular volume. Methods 95 neuroradiological normal diagnosed dogs of different breeds were divided into the two groups, ventriculomegaly and control, according to morphological criteria and ventricle-brain-indices as determined by ratio of brain and lateral ventricle wide. …”
Get full text

PO04 | Classification criteria for antiphospholipid syndrome: ACR/EULAR 2023 versus Sydney 2006 – A monocentric and retrospective study

“…As regards laboratory domains of anticardiolipin and anti–β2-glycoprotein I antibodies, since these antibodies were evaluated in our population exclusively by CLIA methods, threshold values for diagnosing APS were deducted from a previous work investigating the harmonization in defining low, moderate, and high thresholds of positivity by different assays, including ELISA and CLIA [1]. …”
Get full text

Assessment of negative appendectomy in acute appendicitis diagnoses by Francisco Antonio Rodriguez-Garcia, Carlos Enrique Rodríguez-Sánchez, Julio Cesar Naranjo-Chávez, Christian Jorge Torres-Ortiz-Ocampo, Fabián Rojas-Larios, Karen Covarrubias-Ramírez, Eduardo Missael Evangelista-Ruiz, Quitzia Libertad Torres-Salazar

“…The main reason is the incorrect diagnosis of acute appendicitis, which remains a challenge, especially in developing countries, where the rates are different among populations. This study aims to explore the prevalence of negative appendectomies in a regional hospital and evaluate the diagnostic methods used in clinical practice. …”
Get full text

Investigating the Effects of Shockwave and Percussion Massage Gun on Subacute Myofascial Pain in Gasterocenemious Muscle by Seyedeh Zohreh Hosseini, Siamak Bashaardost Tajali, Khadijeh Otadi, Kazem Malmir, Alireza Hosseinzadeh Chaijan

“…After initial evaluations of the pain intensity, pain pressure threshold (PPT), isometric muscle strength, and range of motion (ROM), the patients received single-session treatment and were immediately reassessed. …”
Get full text

Adaptive User Pairing With Non-Orthogonal Medium Access Choices for Balanced Coexistence of Mission-Critical and eMBB Services in Cellular IoT by Farnaz Khodakhah, Aamir Mahmood, Patrik Osterberg, Mikael Gidlund

“…By using this derived threshold, we design an adaptive pairing algorithm that achieves near-optimal QoS for MC users and maximizes eMBB data rates. …”
Get full text

Gluten Contamination of Labelled Gluten-Free Food Products Marketed in China by Yanjun Li, Qing Liu, Samuel Godefroy, Jingguang Li, Yan Chen

“…However, when the threshold was 10 mg/kg and 5 mg/kg, the McNemar <i>x</i>² test showed significant differences between the proportions of positive results of the two ELISA platforms and R5 Méndez (<i>p</i>-value < 0.05); using R5 Méndez as the reference, the two ELISA platforms showed 53.1% to 70.3% positive predictive values, suffering the drawback of high false-positive results. …”
Get full text

基于特征评估与核主分量分析的齿轮故障分类方法 by 瞿雷, 戴光昊, 王琇峰, 沈玉娣

“…For the blindness and one-sidedness of selection and fusion of mechanical fault features without priori knowledge,a novel method of gear fault feature extraction and classification based on feature evaluation and kernel principal component analysis is presented,where the original signals are decomposed with wavelet pocket decomposition（WPD）,and the features in time domain are extracted from the original signals and each decomposed signal to compose the combined features.Furthermore,the threshold value for stability and the filtering scale factor for sensitivity are confirmed to evaluate the features by the combined method with stability and sensitivity,and the nonlinear features are extracted from the residual features by using the method of kernel principal component analysis（KPCA）to realize the classification of different fault conditions.The experimental results of gearbox demonstrate that the method integrating WPD,combined feature evaluation method and KPCA,could better extract the feature information of gear fault,remove the unstable and insensitive ones from a large number of features,and obviously improve the result of nonlinear feature extraction of gear fault for KPCA.…”
Get full text

Cochlear implant re-mapping informed by measures of viability of the electrode-neural interface: a systematic review with meta-analysis by Jason Tzu-Hsien Lien, Ben Williges, Deborah Vickers

“…Some site selection interventions were particularly successful while being informed by the low-rate threshold, modulation detection threshold, and electrode discrimination, yielding large and significant effect sizes around 1–1.5. …”
Get full text

Evaluation framework for the generation of continental bare surface reflectance composites by Paul Karlshoefer, Pablo d’Angelo, Jonas Eberle, Uta Heiden

“…It can estimate the theoretical limit achievable with defined processing parameters (spectral indices, thresholds, specific filtering, etc.) and it is also suitable to compare the performance of different SRC concepts from the literature. …”
Get full text

Design, Modeling, and Experiments of the Vortex-Induced Vibration Piezoelectric Energy Harvester with Bionic Attachments by Zunlong Jin, Guoping Li, Junlei Wang, Zhien Zhang

“…In order to increase the response amplitude and decrease the threshold wind speed of vortex-induced vibration, a bionic attachment structure is proposed based on the experimental method. …”
Get full text

Agreement between Arterial and Capillary pH, pCO2, and Lactate in Patients in the Emergency Department by Vincent Collot, Stefano Malinverni, Jabir Haltout, Eric Schweitzer, Pierre Mols, Magali Bartiaux

“…The primary objective of the study was a quantitative analysis to assess the mean difference and 95% confidence interval of the difference between capillary and arterial BGA for pH, pCO2, and lactate. …”
Get full text

Topography–Land Surface Temperature Coupling: A Promising Approach for the Early Identification of Coal Seam Fire Zones by Yao Wang, Mao-Sheng Zhang, Chuanbo Yang, Da Luo, Ying Dong, Hao Liu, Xu Zhang, Yuteng Yan, Li Feng

“…Using Landsat-9 imagery and meteorological data, we developed a new threshold-based method to detect large-scale land surface temperature anomalies (LSTAs). …”
Get full text

RGB imaging-based detection of rice leaf blast spot and resistance evaluation at the canopy scale by XIE Pengyao, FU Haowei, TANG Zheng, MA Zhihong, CEN Haiyan

“…The mean average precision (mAP) of the test dataset was 0.716, when the intersection over union (IoU) threshold of 0.5 was used. Among all the classification models, Gaussian process support vector machine obtained the highest prediction accuracy of 94.30% (proportion of disease spots in each category corresponding to different resistances) on the test dataset. …”
Get full text