Investigation of Tongqiao Huashuan Granules’ effect on hippocampal neuron autophagy in vascular dementia rats via the PI3K/Akt-mTOR signaling pathway using network pharmacology and... by Xiaoqu Jiang, Shuyao Yu, Shuaifeng Yao, Sikai Wang, Jing Cai, Zhongsheng Tang, Shijie Zhu

“…The Gene Ontology (GO) functional enrichment analysis yielded a total of 569 items (BP: 366, CC: 97, MF: 106). …”
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Preliminary study on the time-correlation changes in brain neurotransmitters of mice exposed to mushroom toxin ibotenic acid by Ruanxian Dai, Ruanxian Dai, Zhantao Duan, Bin Han, Guobing Chen, Fuping Wang, Zhuange Shi, Xian Zhou, Haifei Song, Li Ma, Qiang Meng

“…Ibotenic acid is identified as the primary neurotoxin associated with this form of poisoning; however, the underlying mechanisms of its neurotoxicity remain poorly understood.ObjectiveThis study aims to systematically evaluate the effects of ibotenic acid exposure across three consecutive key time points, from intoxication to recovery, on neurotransmitters related to the GABA/Glutamic-Acid, dopaminergic, serotonergic, and cholinergic systems in five brain regions: the cerebral cortex, hippocampus, striatum, brain stem, and cerebellum.MethodsThrough behavioral tests, we assessed the effects of ibotenic acid exposure on voluntary activities and learning and memory functions in mice. Additionally, we analyzed the changes in neurotransmitter concentrations across different brain regions using targeted metabolomics.ResultsBehavioral results indicated that the total movement distance and speed in the open field test were significantly reduced, while the resting time was prolonged in the ibotenic acid-exposed group (P < 0.0001). …”
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Identification and Validation of Ferritinophagy-Related Biomarkers in Periodontitis by Yi-Ming Li, Chen‑Xi Li, Reyila Jureti, Gulinuer Awuti

“…In addition, biomarker-associated immune cells and functional pathways were analysed to predict the upstream regulatory molecules. …”
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Development of a Serious Game to Simulate Neonatal Intensive Care Unit Experiences: Collaborative Quasi-Experimental Study by Yukihide Miyosawa, Koichi Hirabayashi, Kodai Yamada, Fumiya Kobayashi, Nanami Ogihara, Noa Takeda, Eri Okamura, Shogo Matsumura

“…Initially created in TyranoBuilder (STRIKEWORKS), the game was later redeveloped in Unity with Naninovel to support multilingual functionality. Structured as a 6-chapter visual novel, the game follows a high school student observing the NICU during a hospital internship. …”
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Protocol of a randomized, single-blind, controlled trial of an 18-month, home-based, high-intensity, exercise intervention in older, cognitively unimpaired APOE ε4 carriers by Stephen M. Rao, Alexandria L. Chorba, M. J. Helppi, Alina Tuladhar, Amanda L. Penko, Sarah Holley, Brandon Nehls, Sabrina Paulino, Matthew C. Streicher, Audrey Zhu, Kellie Bruening, Sally Durgerian, Katherine Koenig, Mark Lowe, Wanyong Shin, Stephen E. Jones, Rachel Galioto, Jagan A. Pillai, Lynn M. Bekris, James B. Leverenz, Anson B. Rosenfeldt, Tamanna Singh, Gerald J. Beck, J. Carson Smith, Jay Alberts, Jay Alberts

“…Secondary outcomes include comprehensive neurocognitive and physical function test batteries, MRI scans including structural and functional connectivity measures, and blood-based biomarkers.HypothesesOver an 18-month interval, physically inactive ε4 carriers who engage in high-intensity aerobic exercise will demonstrate less cognitive decline and hippocampal atrophy than physically inactive ε4 carriers who did not participate in a formal exercise program.ConclusionSuccessful demonstration of a scalable, home-based, high-intensity aerobic exercise intervention in altering the trajectory of AD pathophysiology and its effects on cognitive functioning will transform AD treatment, improve patient outcomes and quality of life, and reduce healthcare costs.…”
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Population dynamics and monitoring applied to decision-making by M. J. Conroy, D. C. Lee

“…Second, certain outcomes are assigned value, via an objective or utility function. Both of these features involve factors beyond the usual consideration of ecological modeling; the first implies the presence of one or more “decision makers”, and the second characterizes the societal preferences of each possible outcome resulting from a prospective decision. …”
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The dynamic relationship of brain‐derived neurotrophic factor and oxytocin: Introducing the concept of neurosocial plasticity by Jamshid Faraji, Gerlinde A. S. Metz

“…Abstract The human brain functions as a highly integrated system. Interconnected cellular and molecular networks within this system process sensory information, cognitive functions, and motor responses. …”
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An update on Florida’s Artificial Reefs: recent deployments and trends by Edward V. Camp, Lisa Chong, Angela B. Collins, Holly Abeels, Keith Mille, Michael Sipos, Brittany Hall-Scharf, Scott Jackson, Shelly Krueger, Victor Blanco

“…The number of artificial reefs is growing around Florida, but their function and impact are difficult to describe because artificial reefs change over time as they become encrusted with fouling organisms or altered by storms and shifting sands. …”
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An update on Florida’s Artificial Reefs: recent deployments and trends by Edward V. Camp, Lisa Chong, Angela B. Collins, Holly Abeels, Keith Mille, Michael Sipos, Brittany Hall-Scharf, Scott Jackson, Shelly Krueger, Victor Blanco

“…The number of artificial reefs is growing around Florida, but their function and impact are difficult to describe because artificial reefs change over time as they become encrusted with fouling organisms or altered by storms and shifting sands. …”
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High entropy powering green energy: hydrogen, batteries, electronics, and catalysis by Guotao Qiu, Tianhao Li, Xiao Xu, Yuxiang Liu, Maya Niyogi, Katie Cariaga, Corey Oses

“…We highlight the role of computational methods, such as density functional theory and machine learning, in accelerating the discovery and optimization of HEMs. …”
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L2-GNN: Graph neural networks with fast spectral filters using twice linear parameterization by Siying Huang, Xin Yang, Zhengda Lu, Hongxing Qin, Huaiwen Zhang, Yiqun Wang

“…Second, we parameterize the wavelet filter basis functions using Chebyshev polynomial basis functions. …”
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Integration of theoretical and methodological developments in the field of sustainable development into regional management by Tatiana V. Alferova

“…The study aims to develop recommendations for the integration of scientific knowledge into the practice of managing sustainable development of the regions in the Russian Federation so as to shift to the strategies focused on assessment and learning. Methodologically, the research relies on a combination of the systems, evolutionary, and functional approaches to the maintenance of regional systems’ sustainable development. …”
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OVERVIEW OF THE RESEARCH ACTIVITY OF THE DEPARTMENT OF PHYSICAL EDUCATION AND SPORTS AT TRAKIA UNIVERSITY by P. Angelova

“…Results: The Department works in the following directions - Optimization of the learning process, Research of morpho-functional qualities and physical fitness, Body weight control, Food and exercise habits, healthy lifestyle, Motivation for physical activity and sports, Functional diagnostics of spinal curvatures, Prevention of sports injuries, Sports-competitive activity. …”
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Mentoring Nurses in Political Skill to Navigate Organizational Politics by Wanda Montalvo, Mary W. Byrne

“…Mentoring score showed significance for total political skill and moderate effect on the networking ability. The mentoring functions of advocacy, career development facilitation, learning facilitation, and friendship were found to correlate significantly with total political skill scores. …”
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The Invertebrate Immunocyte: A Complex and Versatile Model for Immunological, Developmental, and Environmental Research by Sandro Sacchi, Davide Malagoli, Nicola Franchi

“…High-performance microscopy, flow cytometry, scRNA sequencing, and the increased capacity to handle complex data introduced by machine learning have allowed the uncovering of aspects of great complexity and diversity in invertebrate immunocytes, i.e., immune-related circulating cells, which until a few years ago could only be described in terms of morphology and basic cellular functions, such as phagocytosis or enzymatic activity. …”
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Spatiotemporal 3D chromatin organization across multiple brain regions during human fetal development by Yaoyu Sun, Min Li, Chao Ning, Lei Gao, Zhenbo Liu, Suijuan Zhong, Junjie Lv, Yuwen Ke, Xinxin Wang, Qiang Ma, Zeyuan Liu, Shuaishuai Wu, Hao Yu, Fangqi Zhao, Jun Zhang, Qian Gong, Jiang Liu, Qian Wu, Xiaoqun Wang, Xuepeng Chen

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Inverse analysis for estimating geotechnical parameters using physics-informed neural networks by Shinichi Ito, Ryusei Fukunaga, Kazunari Sako

“…Physics-informed neural networks (PINNs) have been proposed for incorporating physical laws into deep learning. PINNs can output solutions that satisfy physical laws by introducing information, such as partial differential equations (PDEs), boundary conditions, and initial conditions, into the loss functions used during the construction of the neural network model. …”
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Multimodal representative answer extraction in community question answering by Ming Li, Yating Ma, Ying Li, Yixue Bai

“…Then, a binary multi-objective optimization model with three objective functions including multimodal answer coverage, multimodal answer redundancy, and multimodal answer consistency is constructed to extract a representative subset of answers. …”
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Back-propagation-assisted inverse design of structured light fields for given profiles of optical force by Zhao Xiaoshu, Lin Haoze, Chen Huajin, Zheng Hongxia, Ng Jack

“…The modus operandi relies on the back-propagation algorithm, which is facilitated by the currently available machine learning framework, and, in particular, by an exact and efficient expression of OF that shows only polynomial and trigonometric functional dependence on the engineered parameters governing the structured light field. …”
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A neural master equation framework for multiscale modeling of molecular processes: application to atomic-scale plasma processes by Shoubhanik Nath, Joseph R. Vella, David B. Graves, Ali Mesbah

“…The framework is demonstrated for multiscale modeling of Si atomic layer etching and reactive ion etching, where the learned NME-based surface kinetic models exhibit good predictive and extrapolative capabilities for predicting experimentally relevant observables as a function of process parameters. …”
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