UV‐Induced Photopatterning of the Thermoresponsive Properties of a Poly(ethylene glycol)methylether acrylate‐co‐poly(N‐isopropylacrylamide) Hydrogel by Qian‐Pu Cheng, Nikolaj K. Mandsberg, Pavel A. Levkin, Shan‐hui Hsu

“…Thus, the results demonstrate the potential of UV‐induced modulation of stimuli‐responsive properties of hydrogels and present new opportunities for creating multifunctional materials with tailored properties.…”
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A generalized refined Moore–Gibson–Thompson thermoelastic model based on the concept of memory-dependent higher-order derivatives by Ahmed E. Abouelregal, Marin Marin, Abdelaziz Foul, Sameh S. Askar

“…The effects of different kernel functions, time delays, and higher-order (HO) derivatives on the behavior of thermoelastic materials are discussed and illustrated using figures and tables.…”
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Virtual Backgrounds, Clinician Attire, and Patient Experience Preferences Among Individuals Receiving Telemedicine Treatment for Opioid Use Disorder by Marlene C Lira MPH, Lauren E Hendy PhD, Amanda Olguin MSW, Cynthia Jimes PhD, Clare Mulford MA, LMFT, Karisa Davis BS, NAADAC, Daniel Banks MSW, M Justin Coffey MD, DFAPA, FANPA, CHCIO

“…Telemedicine is a growing treatment modality for opioid use disorder and can offer greater privacy, flexibility, and agency to patients who have experienced stigmatizing behavior in other treatment settings. Designing a welcoming and respectful virtual environment is one mechanism for creating a patient-centered experience, yet to date, patient preferences for telemedicine treatment for opioid use disorder have not been evaluated. …”
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Classifying intentions for carbon neutrality participation through latent class analysis by Jae Eun Lee, Seol A. Kwon, Hyun Soo Park, Ke Zhang, Wei Lu, Lin Dong

“…The findings highlight that both individual awareness and peer behavior are significant factors influencing participation in carbon neutrality activities. …”
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Influence of testbed characteristics on community resilience using agent-based modeling by Xu Han, Maria Koliou

“…Agent-based modeling, an analysis approach in which different types of agents are created with their properties and behavior clearly defined to simulate the processes of those agents in an external environment, is the most comprehensive and accurate approach so far to conducting community resilience simulations and investigating the decision-making for mitigation and recovery under natural hazards. …”
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Radiative magnetohydrodynamic effects on Casson-Maxwell fluid flow with temperature dependency over a stretching surface by Nadeem Abbas, Wasfi Shatanawi, M.Y.B. Mufarrej, Taqi A.M. Shatnawi

“…The resulting system is solved numerically to analyze the behavior of key physical parameters. We thoroughly discuss the influence of magnetic field induction, variations in thermal conductivity, and radiation effects using both tabular and graphical representations. …”
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Quelques éléments de contexte du système de recherche en sciences sociales au Mali by Bougadari DOUMBIA, Anna TRAORÉ, Aminata COULIBALY

“…However, social science research allows a critical analysis of societies and human behavior and contributes to a better understanding of development challenges. …”
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Novel hybrid intelligence model for early Alzheimer's diagnosis utilizing multimodal biomarker fusion by Shehu Mohammed, Neha Malhotra, Arun Singh, Awad M. Awadelkarim, Shakeel Ahmed, Saiprasad Potharaju

“…The database comprises 35 demographic, behavioral, and clinical features. Feature selection procedures produced key predicting variables (i.e., MMSE scores, performance in Activities of Daily Living (ADL), cholesterol level, and behavior problems). …”
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Fabrication of Ceramsite Adsorbent from Industrial Wastes for the Removal of Phosphorus from Aqueous Solutions by Yue Yin, Gaoyang Xu, Linlin Li, Yuxing Xu, Yihan Zhang, Changqing Liu, Zhibin Zhang

“…The heavy metal inside the raw materials created metal hydroxy on the adsorbent surface that offered elevated adsorption capacity for phosphorus. …”
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Thermo-Mechanical Identification of Orthotropic Engineering Constants of Composites Using an Extended Non-Destructive Impulse Excitation Technique by Hugo Sol, Jun Gu, Guillermo Meza Hernandez, Gulsen Nazerian, Hubert Rahier

“…Composite materials are increasingly used in various vehicles and construction parts, necessitating a comprehensive understanding of their behavior under varying thermal conditions. Measuring the thermo-mechanical properties with traditional methods such as tensile testing or dynamical mechanical analysis is often time-consuming and requires costly apparatus. …”
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Natural fiber filaments transforming the future of sustainable 3D printing by Senthil Maharaj Kennedy, Lenin Anselm Wilson, Joemax Agu M, Rajeev D, Jeen Robert RB, Balamurugan S

“…The rapid advancement of additive manufacturing (AM), or 3D printing, has created unparalleled prospects for design innovation and production efficiency. …”
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Investigating the effect of locally available volcanic ash on mechanical and microstructure properties of concrete by Al Asmari Abdullah F., Bashir Muhammad Iqbal, Farooq Furqan, Asif Usama

“…Investigators and experts have focused on creating sustainable concrete utilizing renewable elements. …”
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The Impact of Peatland Damage and Its Influence on Food Security Policy in Sungai Apit Sub-District in 2023 by Albintani Muchid, Susanto Agus, Zebua Ben Hansel Notatema, Wasillah Asiah, Harirah Zulfa

“…The triple helix model is a qualitative research method that describes social behavior in society aimed at creating cooperative synergies between three key actors: academia (A), business (B), and government (G). …”
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Study on Load-Bearing Characteristics and Engineering Applications for Cement–Soil Pipe Pile by Chong Zhou, Xiangzhuo Zheng, Sifeng Zhang, Chao Li, Yaohui Yang, Jianyong Han

“…To delve into how the pile’s cross-sectional size affects its load-bearing properties, we took into account the soil–cement’s strain-softening behavior. Laboratory tests examined the load-bearing properties of piles. …”
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The role of nanomaterials in revolutionizing ischemic stroke treatment: Current trends and future prospects by Yong Wang, Huiying Che, Linzhuo Qu, Xin Lu, Mingzhen Dong, Bo Sun, Hongjian Guan

“…The advent of nanomaterials has created new avenues for stroke therapy, facilitating enhanced pharmacokinetic behavior of drugs, effective drug accumulation at the target site, augmented therapeutic efficacy, and concomitant reduction in side effects. …”
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Noninvasive pressure monitoring using acoustic resonance spectroscopy and machine learning by M. Prisbrey, D. Pereira, J. Greenhall, E. Davis, P. Vakhlamov, C. Chavez, C. Pantea

“…Gaining this access requires a hole through the wall of the vessel, which creates potential for leaks, ruptures, and complete failures. …”
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Water Health in Drought: A Model Integrating Indigenous and Modern Knowledge by Azadeh Fatehpanah, Katayoun Jahangiri, Hesam Seyedin, Amir Kavousi, Hossein Malekinezhad, Masoud Rostami

“…The present model was designed with a realistic view and considered the role of culture and indigenous knowledge in people's behavior and could be reasonably used by managers in the field of water health, passive defense, and various plannings.…”
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Mindful Architecture from Text-to-Image AI Perspectives: A Case Study of DALL-E, Midjourney, and Stable Diffusion by Chaniporn Thampanichwat, Tarid Wongvorachan, Limpasilp Sirisakdi, Pornteera Chunhajinda, Suphat Bunyarittikit, Rungroj Wongmahasiri

“…Mindful architecture is poised to foster sustainable behavior and simultaneously mitigate the physical and mental health challenges arising from the impacts of global warming. …”
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Hybrid Hydrogels Augmented via Additive Network Integration (HANI) for Meniscal Tissue Engineering Applications by Anthony El Kommos, Praveen Magesh, Samantha Lattanze, Andrew Perros, Fotios Andreopoulos, Francesco Travascio, Alicia Jackson

“…The mechanical evaluation of HANI scaffolds showed improvements in compressive stiffness, stress relaxation behavior, and load-bearing capacity, especially with circumferential and 3D PCL reinforcements, when compared to hydrogel scaffolds without additive networks. …”
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Deep Learning for Anomaly Detection in Time-Series Data: An Analysis of Techniques, Review of Applications, and Guidelines for Future Research by Usman Ahmad Usmani, Izzatdin Abdul Aziz, Jafreezal Jaafar, Junzo Watada

“…As data from various sources becomes more available, the extraction of relevant information becomes crucial for understanding complex systems’ behavior and performance. The growing volume and complexity of time-series data in diverse industries have created a demand for effective anomaly detection methods. …”
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