Diffusion Smart-seq3 of breast cancer spheroids to explore spatial tumor biology and test evolutionary principles of tumor heterogeneity by Antony Cougnoux, Loay Mahmoud, Per A. Johnsson, Alper Eroglu, Louise Gsell, Jakob Rosenbauer, Rickard Sandberg, Jean Hausser

“…Finally, we characterize aspects of tumor heterogeneity captured by 3D spheroids that are missing from 2D cultures but found in tumors in vivo. …”
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Multimodal approach to public health interventions using EGG and mobile health technologies by Xiao Zhang, Han Liu, Mingyang Sun, Shuangyi Feng

“…PH-CLIP employs hierarchical feature extraction to capture the temporal dynamics of EEG signals, aligning them with contextually relevant textual descriptions for improved public health insights. …”
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Urban Scenic Spot Activity Center Investment: Strategic Construction Company Selection Using the Grey System-II Thinking Compromise Ranking of Alternatives from Distance to Ideal S... by Shuo Zhang, Moses Olabhele Esangbedo

“…First, a time delay was introduced between the first and second rounds of administering the weighting questionnaire to capture decision-makers’ preferences for the evaluation criteria as System-2 thinking, then the Grey System-2 Thinking (GS2T) weighting method was proposed for group decision-making. …”
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A novel approach to Lyapunov stability of Caputo fractional dynamic equations on time scale using a new generalized derivative by Michael Precious Ineh, Edet Peter Akpan, Hossam A. Nabwey

“…These examples highlighted the advantage of our definition of fractional-order derivative over integer-order approaches in capturing the intricacies of dynamic behavior.…”
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Female Brain and Endocrinological Research-Veteran (FemBER-Vet) study: A study protocol for identifying endocrinological, lifestyle and psychosocial determinants of brain health ou... by Tamlyn Watermeyer, Elliott Atkinson, Glyn Howatson, Gill McGill, Christina Dodds, Paul Ansdell, Chinedu Udeh-Momoh

“…<h4>Methods</h4>The Female Brain and Endocrinological Research-Veteran (FemBER-Vet) Study will create a highly-phenotyped readiness cohort of ex-service persons as well as non-veterans to assess the impacts of, and risks associated with, military service on brain health, using state-of-the-art non-invasive cognitive, physiological and biomarker capture techniques. FEMBER-Vet will include 90 participants across three study groups (30 female veterans, 30 male veterans, 30 female civilians) to delineate the precise biological, socio-demographic, health, lifestyle, military-related, and life-course determinants of brain health outcomes (psychosocial, cognitive, neurophysiological, and other biomarkers).…”
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Command, Control and Co-Creation: Drivers and Barriers Faced by Professionals Co-Creating in the Slovenian Public Sector by Sanja Vrbek, Marlot Kuiper

“…Design/methodology/approach: The paper relies on two Slovenian case studies capturing the experience of professionals from the Ministry of Public Administration and the Municipality of Ljubljana. …”
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Correcting scale distortion in RNA sequencing data by Christopher Thron, Farhad Jafari

“…Abstract RNA sequencing (RNA-seq) is the conventional genome-scale approach used to capture the expression levels of all detectable genes in a biological sample. …”
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HSTCN-NuSVC: A Homogeneous Stacked Deep Ensemble Learner for Classifying Human Actions Using Smartphones by Sarmela Raja Sekaran, Ying Han Pang, Ooi Shih Yin, Lim Zheng You

“…In this model, multiple enhanced TCN networks with diverse architectures are organised parallelly to capture hierarchical spatial-temporal patterns from raw inertial signals. …”
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Learning to Listen to Non-spoken Voices. Including Young People With Intellectual Disabilities Who are Non-speaking as Primary Participants in Qualitative Research by Beverley Samways, Pauline Heslop

“…The application of psychoanalytic principles and physiology concepts which were incorporated for capturing data about the participants’ emotional experiences are discussed, alongside the evidence-based assumptions that were adopted as principles guiding interaction and interpretation of the data. …”
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Optimal Sizing of a Hybrid Renewable Photovoltaic-Wind System-Based Microgrid Using Harris Hawk Optimizer by Abdullrahman A. Al-Shamma’a, Hassan M. Hussein Farh, Abdullah M. Noman, Abdullah M. Al-Shaalan, Abdulaziz Alkuhayli

“…The findings revealed that the HHO, GOA, CSO, and coyote have acceptable performance in terms of capturing the global solution and the speed of convergence, with only minimal oscillations. …”
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Enhanced Bug Priority Prediction via Priority-Sensitive Long Short-Term Memory–Attention Mechanism by Geunseok Yang, Jinfeng Ji, Jaehee Kim

“…These features are processed through a Long Short-Term Memory (LSTM) network to capture sequential dependencies, and the outputs are further refined using an Attention mechanism to focus on the most relevant information for prediction. …”
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Applicability of Artificial Neural Networks to Predict Mechanical and Permeability Properties of Volcanic Scoria-Based Concrete by Aref M. al-Swaidani, Waed T. Khwies

“…Many of them have not yet been investigated, although few of which have been used as a supplementary cementitious material (SCM) for a long time. The use of natural pozzolans as cement replacement could be considered as a common practice in the construction industry due to the related economic, ecologic, and performance benefits. …”
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Comprehensive Environmental Monitoring System for Industrial and Mining Enterprises Using Multimodal Deep Learning and CLIP Model by Shuqin Wang, Na Cheng, Yan Hu

“…Finally, a multimodal LSTM model is leveraged to detect anomalies in the monitoring data by capturing long-term dependencies within time series information. …”
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The effects of environmental patents on renewable energy consumption by Mihaela Onofrei, Bogdan Narcis Fîrțescu, Florin Oprea, Dana Claudia Cojocaru

“…Thus, our aim was to capture the effects of environmental technology patents on renewable energy consumption in OECD Member States over the period 2000–2021. …”
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Rethinking the measurements and predictors of environmental degradation in Ethiopia: Predicting long-term impacts using a kernel-based machine learning approach by Tesfaye Etensa, Tekie Alemu, Mengesha Yayo

“…The relationships among these predictors are complex, often nonlinear, non-additive, and include reverse causality, making it difficult for traditional econometric models to capture them. Conventional CO₂ metrics also tend to overlook unique emission sources in developing countries, where emissions are closely linked to energy production, unsustainable agriculture, deforestation, and land use rather than industry. …”
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Bridging gaps in healthcare: child health services and specialist care collaboration for young children with autism and coexisting conditions by Gudrun Nygren, Gudrun Nygren, Christopher Gillberg, Emilia Carlsson, Emilia Carlsson

“…Qualitative in-depth interviews were conducted to capture the perspectives of participating child health nurses. …”
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Machine learning-based prediction of antipsychotic efficacy from brain gray matter structure in drug-naive first-episode schizophrenia by Xiaodong Guo, Enpeng Zhou, Xianghe Wang, Bingjie Huang, Tianqi Gao, Chengcheng Pu, Xin Yu

“…Before initiating treatment, T1-weighted anatomical images were captured. The Positive and Negative Syndrome Scale and the Personal and Social Performance Scale were adopted to assess clinical symptoms and social function. …”
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Fusion of multi-scale attention for aerial images small-target detection model based on PARE-YOLO by Huiying Zhang, Pan Xiao, Feifan Yao, Qinghua Zhang, Yifei Gong

“…Abstract In view of the complex environments and varying object scales in drone-captured imagery, a novel PARE-YOLO algorithm based on YOLOv8 for small object detection is proposed. …”
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The Future of Last-Mile Delivery: Lifecycle Environmental and Economic Impacts of Drone-Truck Parallel Systems by Danwen Bao, Yu Yan, Yuhan Li, Jiajun Chu

“…However, evaluating the environmental and economic impacts of this transportation mode requires a systematic framework to capture its unique characteristics and minimize environmental impacts and costs. …”
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Social contexts and black families' engagement in early childhood programs. by Jane Leer, Imari Z Smith, Zoelene Hill, Lisa A Gennetian

“…., and a pre-registered field experiment, we capture views of and experiences with early childhood home visiting programs. …”
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