Edge-Optimized Deep Learning Architectures for Classification of Agricultural Insects with Mobile Deployment by Muhammad Hannan Akhtar, Ibrahim Eksheir, Tamer Shanableh

“…The primary contribution of this study lies in its systematic investigation of model optimization techniques for edge deployment, including Post-Training Quantization, Quantization-Aware Training, and Data Representative Quantization. As such, we address the crucial need for efficient, on-site pest detection tools in agricultural settings. …”
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External Validation of a Predictive Model for Thyroid Cancer Risk with Decision Curve Analysis by Juan Jesús Fernández Alba, Florentino Carral, Carmen Ayala Ortega, Jose Diego Santotoribio, María Castillo Lara, Carmen González Macías

“…This increase is largely attributed to the enhanced detection of subclinical cancers through advanced imaging techniques and fine-needle aspiration biopsies. …”
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Severity Classification of Parkinson’s Disease via Synthesis of Energy Skeleton Images from Videos Produced in Uncontrolled Environments by Nejib Ben Hadj-Alouane, Arav Dhoot, Monia Turki-Hadj Alouane, Vinod Pangracious

“…Given the nature of the dataset used, the proposed framework stands to function as a cost-effective and accessible tool for early PD detection in various healthcare settings. This study contributes to the advancement of mobile health technologies, aiming to enhance early diagnosis and monitoring of Parkinson’s Disease.…”
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Comparison of Collision Avoidance Algorithms for Unmanned Surface Vehicle Through Free-Running Test: Collision Risk Index, Artificial Potential Field, and Safety Zone by Jung-Hyeon Kim, Hyun-Jae Jo, Su-Rim Kim, Si-Woong Choi, Jong-Yong Park, Nakwan Kim

“…Using the collision risk index (CRI) method, the algorithm calculates risk based on the distance to obstacles and the angle to the desired waypoint, directing the USV on a path with minimized risk. Noise within the data captured by the two-dimensional light detection and ranging system is filtered out using the k-dimensional tree and Euclidean distance methods, ensuring single obstacles are distinctly identified. …”
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Classification Prediction of Jujube Variety Based on Hyperspectral Imaging: A Comparative Study of Intelligent Optimization Algorithms by Quancheng Liu, Jun Zhou, Zhaoyi Wu, Didi Ma, Yuxuan Ma, Shuxiang Fan, Lei Yan

“…Traditional methods, relying on manual detection, are inefficient and fail to meet the demands of modern production and quality control. …”
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A Novel Energy Control Digital Twin System with a Resource-Aware Optimal Forecasting Model Selection Scheme by Jin-Woo Kwon, Anwar Rubab, Won-Tae Kim

“…Utilizing real-world LPG consumption data from 887 sensors, the proposed system achieves forecasting accuracy comparable to previous methods while reducing latency by up to 19 times in low-resource settings.…”
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Advances in application of photon-counting CT for pancreatic imaging by HUANG Ruikun, YANG Yanzhao, CHAI Weimin

“…The core technical principles of PCCT include physical characteristics such as high photon-flux processing by photon-counting detectors, K-edge imaging, and multi-energy threshold data acquisition modes. On this basis, this study summarizes optimization strategies for pancreatic imaging, including scan parameter settings and the clinical application of multimodal post-processing techniques. …”
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A national pharmacovigilance centre perspective on pandemic preparedness - lessons learned from the COVID-19 pandemic by Florence van Hunsel, Florence van Hunsel, Agnes Kant, Agnes Kant

“…Lareb employed both spontaneous reporting and cohort event monitoring (CEM) to gain a better understanding of the safety of these vaccines in a real-world setting. Challenges included the overwhelming volume of data, limited initial access to national vaccination and healthcare registries, underreporting of adverse reactions to SARS-CoV-2 treatments, and a strain on the trained staff to perform tasks while scaling up in personnel. …”
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A Comprehensive Review of Home Sleep Monitoring Technologies: Smartphone Apps, Smartwatches, and Smart Mattresses by Bhekumuzi M. Mathunjwa, Randy Yan Jie Kor, Wanida Ngarnkuekool, Yeh-Liang Hsu

“…Devices were assessed based on sleep-tracking capabilities, physiological data collection, movement detection, environmental sensing, AI-driven analytics, and healthcare integration potential. …”
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Methodologies for studying depression in persons living with tuberculosis: Protocol for a scoping review. by Amanda J Gupta, Patricia Turimumahoro, Lori Rosman, Jonathan E Golub, David W Dowdy

“…We will use Covidence to facilitate screening, selection, and data extraction. We will extract data on study design, diagnostic tools, treatment interventions, and analytical approaches. …”
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Gamma gap and albumin-globulin ratio show poor sensitivity for monoclonal gammopathy screening in South Africa by Njabulo Khumalo, Cameron A. Francis, Siphiwe M. Baloyi, Jody A. Rusch

“…Conclusion: The gamma gap and AGR showed low sensitivity and moderate specificity in screening for monoclonal gammopathies, highlighting the need for integrated diagnostic approaches combining clinical, demographic, and laboratory data to improve early detection in resource-limited settings. …”
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MDCT of Small Bowel Obstruction: How Reliable Are Oblique Reformatted Images in Localizing Point of Transition? by Wasim Memon, Yasir Jamil Khattak, Tariq Alam, Luca Maria Sconfienza, Muhammad Awais, Shayan Sirat Maheen Anwar

“…Two independent GI radiologists reviewed the CT scans to localize the exact POT by evaluating axial images (data set A) followed by axial, coronal, and oblique MPR images. …”
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Comparison of three-point and six-point diurnal intraocular-pressure curves by Margarita Lat-Luna, MD, Paul I. Guerrero, MD, John Vincent Policarpio D. Flores, MD, MS Epi

“…The investigators reviewed their records and generated two sets of data—one for six-point and another for three-point IOP measurements. …”
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The determination of ClNO₂ via thermal dissociation–tunable infrared laser direct absorption spectroscopy by J. W. Halfacre, L. Marden, M. D. Shaw, L. J. Carpenter, E. Matthews, T. J. Bannan, H. Coe, H. Coe, S. C. Herndon, J. R. Roscioli, C. Dyroff, T. I. Yacovitch, P. R. Veres, P. R. Veres, M. A. Robinson, M. A. Robinson, S. S. Brown, S. S. Brown, P. M. Edwards, P. M. Edwards

“…In this work, thermal dissociation–tunable infrared laser direct absorption spectrometry (TD-TILDAS) is shown to be a viable method for quantifying ClNO<span class="inline-formula">₂</span> in laboratory and field settings. This technique relies on the thermal dissociation of ClNO<span class="inline-formula">₂</span> to create chlorine radicals, which undergo fast reactions with hydrocarbons to produce hydrogen chloride (HCl) that is detectable by the TILDAS instrument. …”
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Modifications to the National Early Warning Score 2: a Scoping Review by Victoria Riccalton, Lynsey Threlfall, Ananya Ananthakrishnan, Cen Cong, Madison Milne-Ives, Peta Le Roux, Chris Plummer, Edward Meinert

“…Abstract Background The National Early Warning Score 2 (NEWS2) has been adopted as the standard approach for early detection of deterioration in clinical settings in the UK, and is also used in many non-UK settings. …”
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Asteroseismology of Metal-poor Red Giants Observed by TESS by Corin Marasco, Jamie Tayar, David Nidever

“…Our findings appear to show metallicity-dependent mass loss on the upper red giant branch and identify a set of “young” high- α stars that have been detected in other studies. …”
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Long‐range transport of NH3, CO, HCN, and C2H6 from the 2014 Canadian Wildfires by E. Lutsch, E. Dammers, S. Conway, K. Strong

“…Enhancements were attributed to fires in the Northwest Territories using the FLEXPART Lagrangian dispersion model and the Moderate Resolution Imaging Spectroradiometer Fire Hot Spot data set. Emission estimates are reported as average emission factors for HCN (0.62 ± 0.34 g kg−1), C2H6 (1.50 ± 0.75 g kg−1), and NH3 (1.40 ± 0.72 g kg−1). …”
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Identification of innovation drivers based on technology-related news articles by Albina Latifi, David Lenz, Peter Winker

“…In a second step, a named entity recognition (NER) method is used to detect firm names in the news articles. Combining the information about innovation-related topics and firms mentioned in news articles linked to these topics provides a set of firms linked to each innovation-related topic. …”
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Insights of semantic segmentation using the DeepLab architecture for autonomous driving by Javed Subhedar, Mrinal R Bachute

“…The impact of the Squeeze and Excitation module and the Convolutional Block Attention Module is also compared for these architectures for semantic segmentation using the CAMVid data set. All six models are evaluated for Categorical Accuracy and mIoU metrics. …”
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In vivo Polycystin-1 interactome using a novel Pkd1 knock-in mouse model. by Cheng-Chao Lin, Luis F Menezes, Jiahe Qiu, Elisabeth Pearson, Fang Zhou, Yu Ishimoto, D Eric Anderson, Gregory G Germino

“…It encodes Polycystin-1 (PC1), a putative membrane protein that undergoes a set of incompletely characterized post-transcriptional cleavage steps and has been reported to localize in multiple subcellular locations, including the primary cilium and mitochondria. …”
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