A dynamical model reveals gene co-localizations in nucleus. by Jing Kang, Bing Xu, Ye Yao, Wei Lin, Conor Hennessy, Peter Fraser, Jianfeng Feng

“…Co-localization of networks of genes in the nucleus is thought to play an important role in determining gene expression patterns. …”
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ML-Based Maintenance and Control Process Analysis, Simulation, and Automation—A Review by Izabela Rojek, Dariusz Mikołajewski, Ewa Dostatni, Adrianna Piszcz, Krzysztof Galas

“…Automation and digitalization in various industries towards the Industry 4.0/5.0 paradigms are rapidly progressing thanks to the use of sensors, Industrial Internet of Things (IIoT), and advanced fifth generation (5G) and sixth generation (6G) mobile networks supported by simulation and automation of processes using artificial intelligence (AI) and machine learning (ML). …”
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Chiral polaron formation on the edge of topological quantum matter by Amit Vashisht, Ivan Amelio, Laurens Vanderstraeten, Georg M. Bruun, Oriana K. Diessel, Nathan Goldman

“…In this work, we study the dressing of a mobile impurity interacting with a chiral mode, at the edge of topological quantum matter. …”
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Compliant Force Control for Robots: A Survey by Minglei Zhu, Dawei Gong, Yuyang Zhao, Jiaoyuan Chen, Jun Qi, Shijie Song

“…Special emphasis is placed on advanced compliant control strategies applied to structurally complex robotic systems, including aerial, mobile, cable-driven, and bionic robots. In addition, intelligent compliant control approaches are systematically analyzed, encompassing neural networks, fuzzy logic, sliding mode control, and reinforcement learning. …”
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A review of deep learning models to detect malware in Android applications by Elliot Mbunge, Benhildah Muchemwa, John Batani, Nobuhle Mbuyisa

“…The study revealed that convolutional neural networks, gated recurrent neural networks, deep neural networks, bidirectional long short-term memory, long short-term memory (LSTM) and cubic-LSTM are the most prominent deep learning-based malicious software detection models in Android applications. …”
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An agent-based model of signal transduction in bacterial chemotaxis. by Jameson Miller, Miles Parker, Robert B Bourret, Morgan C Giddings

“…Agent-based modeling is a stochastic and bottom-up approach, where individual components of the modeled system are explicitly represented, and bulk properties emerge from their movement and interactions. We present the Chemoscape model: a collection of agents representing both fixed membrane-embedded and mobile cytoplasmic proteins, each governed by a set of rules representing knowledge or hypotheses about their function. …”
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Integrating Photogrammetric 3D City Models and CityGML Data into Augmented Reality for Enhanced Urban Planning and Cadastre Management by S. Yalcin, B. Erkek, E. Ayyildiz

“…This paper presents a mobile AR application, developed with Google’s ARCore, that displays CityGML-based building data at street level, allowing for real-time visualization and interaction. …”
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Perception of Tele-dermatology Consultation among Social Media Users by Sishir Poudel, Sushan Pokharel, Sudha Agrawal, Suchana Marahatta

“…The barrier in using tele-dermatology were dissimilarity from face-to-face interaction, poor networking in rural area, unavailability of physical examination, low camera quality leading to misdiagnosis and not convenient for multiple lesions. …”
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Hand Gesture Recognition on Edge Devices: Sensor Technologies, Algorithms, and Processing Hardware by Elfi Fertl, Encarnación Castillo, Georg Stettinger, Manuel P. Cuéllar, Diego P. Morales

“…Sensor modalities evaluated are WIFI, vision, radar, mobile networks, and ultrasound. The pre-processing technologies stereo vision, multiple-input multiple-output (MIMO), spectrogram, phased array, range-doppler-map, range-angle-map, doppler-angle-map, and multilateration are explored. …”
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Perception of Tele-dermatology Consultation among Social Media Users by Sishir Poudel, Sushan Pokharel, Sudha Agrawal, Suchana Marahatta

“…The barrier in using tele-dermatology were dissimilarity from face-to-face interaction, poor networking in rural area, unavailability of physical examination, low camera quality leading to misdiagnosis and not convenient for multiple lesions. …”
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Unraveling access barriers and challenges of sexual and reproductive health services for individuals with psychosocial disabilities in Nigeria: insights from family, caregivers, an... by Ibrahim Muhammad Usman, Robert A. C. Ruiter, Schaafsma Dilana

“…Enablers included community awareness, financial support from informal networks, mobile outreach and staff training. Notably, the study revealed a unique culturally specific belief, such as mental illness being transmitted through breastfeeding or bringing fortune through sexual contact with affected women.ConclusionThe study highlights critical and intersecting barriers to SRH access for PPSD in Nigeria, underscoring the need for inclusive, rights-based and support system friendly interventions addressing both community-level barriers and systemic health service gaps. …”
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Weibel-Palade bodies – secretory organelles at the interface of inflammation and hemostasis by Julian Terglane, Volker Gerke

“…They are born at the trans-Golgi network and then move on microtubules to the cell periphery where they are anchored at the actin cortex to await signals triggering their evoked exocytosis. …”
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IMPLEMENTATION OF THE ENVIRONMENTAL CARE AND CULTURE MOVEMENT IN SCHOOLS by Muh Khamid, Setya Raharja, Aqsal Rizky Ramadhan, Ridwan Eko Apriyanto, Khatibul Umam Salam

“…The SchoolSchool establishes a working network with external parties to support the movement's sustainability. …”
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Town-village spatial restructuring in developed regions of China from the perspective of resident travel: a case of Lin’an district, Hangzhou by Lin Tian, Yao Cheng

“…However, localized networked structures have emerged, characterized by horizontal links among villages. …”
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Usability and Usefulness of SMS-Based Artificial Intelligence Intervention (Mwana) on Breastfeeding Outcomes in Lagos, Nigeria: Pilot App Development Study by Anisha Musti

“…With the proliferation of mobile phones in Nigeria, mobile health (mHealth) interventions are being explored as scalable solutions. …”
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A Framework for Successful Crowdfunding Campaigns: Insights from Social Media (A Systematic Review) by Saeideh Sadat Alavi, Mohammad Ghadamyari, Tahmoores Sohrabi

“…Key factors include project characteristics, the entrepreneur's attributes and abilities, campaign strategy, social media activity and interactions, social network indicators, psychological factors, platform features, and moderating variables such as time constraints. …”
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Hierarchical patterning modes orchestrate hair follicle morphogenesis. by James D Glover, Kirsty L Wells, Franziska Matthäus, Kevin J Painter, William Ho, Jon Riddell, Jeanette A Johansson, Matthew J Ford, Colin A B Jahoda, Vaclav Klika, Richard L Mort, Denis J Headon

“…We assess the contributions and interplay between reaction-diffusion and mesenchymal self-organisation processes in hair follicle patterning, identifying a network of fibroblast growth factor (FGF), wingless-related integration site (WNT), and bone morphogenetic protein (BMP) signalling interactions capable of spontaneously producing a periodic pattern. …”
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Mechanisms of synergy creation for social-ecological transformation: Leverage point analysis of the emergence of autonomous innovations. by Hidetomo Tajima, Tetsu Sato, John Banana Matewere, Dorothea Agnes Rampisela, Motoko Shimagami, Shion Takemura, Mitsutaku Makino

“…Synergy creation has a greater impact on transformations of social-ecological systems because broader people are involved in the network, the range of covered resources and ecosystems is wider, and diverse beneficiaries are involved. …”
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Replicating associative learning of rodents with a neuromorphic robot in an open-field arena by Tianze Liu, Kang Jun Bai, Hongyu An

“…By embedding biologically inspired learning mechanisms into a real robot, we demonstrate how spatial memory can be formed and expressed through sensorimotor interactions. The model’s compact structure (19 neurons) illustrates a minimal yet functional learning network, and the study outlines principles for synaptic weight and threshold design, guiding future development of more complex neuromorphic systems.…”
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An Internet-of-Things-Integrated Deep Learning Model for Fault Diagnosis in Industrial Rotating Machines by Tuan M. Le, Hieu M. Tran, Ke Wang, Hung V. Pham, Son V. T. Dao

“…A mobile application provides an intuitive platform for visualizing and interacting with fault data. …”
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