Digital assessments for children and adolescents with ADHD: a scoping review by Franceli L. Cibrian, Elissa M. Monteiro, Elissa M. Monteiro, Kimberley D. Lakes

“…IntroductionIn spite of rapid advances in evidence-based treatments for attention deficit hyperactivity disorder (ADHD), community access to rigorous gold-standard diagnostic assessments has lagged far behind due to barriers such as the costs and limited availability of comprehensive diagnostic evaluations. …”
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Data-Efficient Bone Segmentation Using Feature Pyramid- Based SegFormer by Naohiro Masuda, Keiko Ono, Daisuke Tawara, Yusuke Matsuura, Kentaro Sakabe

“…However, SegFormer’s effectiveness is typically limited by its need for extensive training data, which is particularly challenging in medical imaging, where obtaining labeled ground truths (GTs) is a costly and resource-intensive process. In this paper, we propose two models and their combination to enable accurate feature extraction from smaller datasets by improving SegFormer. …”
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National Archive of Marine Seismic Surveys Web Portal Provides Public Access to US Exclusive Economic Zone Marine Seismic Surveys by Jared Kluesner, Patrick Hart, George Snyder, Peter Triezenberg

“…These include studies focused on offshore marine geohazards, such as fault systems and submarine landslides, as well as gas hydrates and other geologic processes. Acquisition of such data sets, especially pneumatic‐sourced surveys, is becoming progressively more difficult due to environmental concerns and associated costs, thus preservation and public access to such high‐quality data sets is critical to maintaining the ability to conduct offshore seismic reflection scientific research along the US EEZ.…”
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Gas pipeline leakage detection based on multiple multimodal deep feature selections and optimized deep forest classifier by Eddie Zhang, Evan Zhang

“…Aided by the heatmaps created using Gradient-weighted Class Activation Mapping (Grad-CAM), a visualization-based primary feature selection is applied to determine the best features to form an initial CNN pool. …”
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High throughput assessment of blueberry fruit internal bruising using deep learning models by Chenjiao Tan, Changying Li, Penelope Perkins-Veazie, Heeduk Oh, Rui Xu, Massimo Iorizzo

“…The rising costs and labor shortages have sparked interest in machine harvesting of fresh-market blueberries. …”
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Knife and bulldozer bottom blade interaction with soil at the beginning of a pass by V. A. Nikolayev

“…Interaction with the soil of the knife and the blade of the bulldozer is accompanied by a complex of interrelated processes. These processes complicate the theoretical analysis of the interaction of the knife and the bottom part of the blade of bulldozer equipment with the soil. …”
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My back: co-designing municipal rehabilitation with and for individuals with long-lasting back problems: study protocol by Tina Junge, P. Kjaer

“…Sharing best practices and lessons learned from the implementation process can inform rehabilitation practices in different international settings.…”
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Systematic review on evaluation tools applicable to One Health surveillance systems: A call for adapted methodology by Sarah Mediouni, Claire Ndione, E. Jane Parmley, Thomas G. Poder, Hélène Carabin, Cécile Aenishaenslin

“…Although costs and/or impacts were discussed in some case studies, only one article reported an economic impact analysis. …”
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Segmenting hydrogen‐induced cracking defects in steel through scanning acoustic microscopy and deep neural networks by Thi Thu Ha Vu, Tan Hung Vo, Le Hai Tran, Jaeyeop Choi, Truong Tien Vo, Cao Duong Ly, Thanh Phuoc Nguyen, Sudip Mondal, Junghwan Oh

“…While traditional defect detection methods are usually costly and easily affected by human physiological state, deep learning approaches offer both time and financial benefits along with high accuracy. …”
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The development of BE-EMPOWERed: Belgian program Enhancing the uptake and Effectiveness of a Multifactorial falls Prevention intervention in Older community-dWElling peRsons by Sara Vandervelde, Ellen Vlaeyen, Bernadette Dierckx de Casterlé, Johan Flamaing, Goedele Belaen, Kim Delbaere, Lindy Clemson, Megan Swann, Koen Milisen

“…Methods The BE-EMPOWERed program was developed using Intervention Mapping (IM) and Implementation Mapping guided by the Medical Research Council (MRC) framework. …”
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A method for monitoring three dimensional surface deformation in mining areas combining SBAS-InSAR, GNSS and probability integral method by Qiuxiang Tao, Ruixiang Liu, Xuepeng Li, Tengfei Gao, Yang Chen, Yixin Xiao, Huzhen He, Yunguang Wei

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Identifying fundamental goals of childbirth care for women with higher body weight in Swiss maternity care: an embedded mixed methods multi-stakeholder study by Jennifer Inauen, Carmen Wyss, Judit Lienert, Evelyne M Aubry

“…Methodological evaluations involved descriptive statistics and non-parametric testing.Setting Swiss maternity care.Participants 21 stakeholders, including seven women with a preconceptional body mass index ≥ 30 kg/m2, nine midwives, and five obstetricians experienced in maternity care for women with higher body weight.Results We identified eight fundamental goals of childbirth care: low maternal and neonatal complication rates, physiological childbirth processes, positive initiation of bonding and breastfeeding, positive psychosocial care experience, low physical strain for care providers, low resource use in care setting, and low direct costs of childbirth care. …”
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Innovation of Utilization of Materials Research and Development Results in the Framework of Fulfilling the Defense Equipment of the Indonesian Army (Case Study of Battlefield Manag... by Yudho Setiarsono, Hakimul Ikhwan, Umi Listyaningsih

“…This study aims to map policy innovations downstream of material R&D results, especially the Battlefield Management System (BMS) in fulfilling the independent and modern defense equipment of the Indonesian Army. …”
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Significant enhancement of nitrogen photofixation to ammonia and hydrogen storage by a MIL-53 (Fe) based novel plasmonic nanocatalysis at ambient condition by Soheila Sharafinia, Rouein Halladj, Alimorad Rashidi

“…Typically, H2 is produced through water-splitting and then stored as ammonia. This process is very time-consuming and costly. Plasmonic metal nanocatalysts, including copper (Cu), silver (Ag), and gold (Au), are promising new ways to stimulate photocatalytic reactions. …”
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Enhancing fieldwork productivity in subsurface characterization: advancements in data acquisition with MASW-DS by Hamdan Hamdan, George Kritikakis, Mahmoud Elsamani, Mahmoud Harb, Mohamed Abdel-Fattah, Pantelis Soupios

“…It is a very useful tool in geotechnical engineering for evaluating soil quality and mapping the characteristics of the upper sedimentary layers. …”
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Zero-Shot Detection of Visual Food Safety Hazards via Knowledge-Enhanced Feature Synthesis by Lanting Guo, Xiaoyu Hu, Wenhe Liu, Yang Liu

“…This work represents a significant advancement toward automated, generalizable food safety inspection systems capable of adapting to emerging visual hazards without a costly retraining process.…”
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PSO-optimized dual-channel BP neural network for bathymetric prediction using multisource marine geodetic data: A case study of the gulf of Mexico by Jiajia Yuan, Haoran Liu, Jianli Chen, Chen Yang

“…Accurate seafloor topography is essential for marine scientific research, resource exploration, and understanding geological processes. Traditional bathymetric surveying methods are constrained by limited spatial coverage and high operational costs, particularly in deep-sea environments. …”
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Dynamic spatiotemporal graph network for traffic accident risk prediction by Pengcheng Zhang, Wen Yi, Yongze Song, Penggao Yan, Peng Wu, Ammar Shemery, Keith Hampson, Albert P. C. Chan

“…Traffic accidents remain major public safety concerns, often causing severe injuries, deaths, and economic costs, especially in rapidly urbanizing areas. Accurate traffic accident risk prediction is crucial for developing effective strategies to reduce accidents and enhance urban mobility. …”
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A lightweight real-time unified detection model for rice and wheat ears in complex agricultural environments by Xiaojun Shen, Shuai Li, Fen Qiu, Lili Yao

“…Finally, channel pruning is applied to remove inefficient channels, effectively reducing computational costs and optimizing resource allocation efficiency. …”
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Simplifying Two-Stage Object Detectors for On-Board Remote Sensing by Jaemin Kang, Hoeseok Yang, Hyungshin Kim

“…Experiments conducted on state-of-the-art two-stage detectors, such as Oriented-RCNN and LSKNet, demonstrate that our method reduced computation costs up to 58.1% while achieving a 1.6%p increase in average accuracy on the DOTAv2.0 dataset. …”
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