Article
Multidisciplinary Sciences
R. Mohtasib, J. Alghamdi, A. Jobeir, A. Masawi, N. Pedrosa de Barros, T. Billiet, H. Struyfs, T. V. Phan, W. Van Hecke, A. Ribbens
Summary: This study compared multiple MRI biomarkers in the diagnosis of Alzheimer's disease and found that hippocampal features, functional connectivity, and structural connectivity showed strong differences between patients with AD and healthy controls. Hippocampal volumes were associated with both age and AD status, with the smallest volume being the most discriminative feature. Combined features and age yielded the best performance in classifying AD status.
Article
Pediatrics
Wenjian Zheng, Xueyi Guan, Xianchang Zhang, Jian Gong
Summary: This study aimed to characterize the short-term natural cognitive recovery and brain plasticity in pediatric patients with low-grade frontal lobe tumors (LGFLT) following surgery. The findings revealed that motor speed and reaction time improved over a period of 3-6 months post-surgery, while functional connectivity between the frontal lobes and basal ganglia showed a temporary decrease in the first month and gradual recovery thereafter. The recovery process may involve map expansion plasticity in the frontal-basal ganglia circuit.
FRONTIERS IN PEDIATRICS
(2023)
Article
Clinical Neurology
Katiane R. Servelhere, Thiago Junqueira Ribeiro Rezende, Fabricio Diniz de Lima, Mariana Rabelo de Brito, Renan Flavio de Franca Nunes, Raphael F. Casseb, Jose Luiz Pedroso, Orlando Graziani P. Barsottini, Fernando Cendes, Marcondes C. Franca Jr
Summary: HSPs are characterized by brain damage, with genotype-specific patterns of abnormalities. Most HSP patients show brain and cerebellar involvement, with distinct damage patterns based on genetic subtypes.
MOVEMENT DISORDERS
(2021)
Article
Psychiatry
Wenjin Zou, Peilun Song, Weicong Lu, Robin Shao, Ruoxi Zhang, Suk-Yu Yau, Ti-fei Yuan, Yaping Wang, Kangguang Lin
Summary: This study investigated the predictive ability of baseline hippocampal functional connectivity in offspring of bipolar disorder patients for future mood disorder. The findings showed high predictive utility of baseline hippocampal connectivity in predicting BD onset and mood disorder, indicating its potential for early detection of individuals at high risk for future mood disorder.
ASIAN JOURNAL OF PSYCHIATRY
(2022)
Article
Neurosciences
Anthony Kin Yip Liew, Chuin Hau Teo, Tomoko Soga
Summary: This article summarizes the evidence for environmental enrichment (EE) as a neuroprotective strategy and discusses the potential molecular pathways that explain its effects from a biochemical perspective. It also explores the differences in early and late life EE exposure and its potential application in humans.
MOLECULAR NEUROBIOLOGY
(2022)
Article
Behavioral Sciences
Rodrigo Orso, Kerstin Camile Creutzberg, Francisco Sindermann Lumertz, Luis Eduardo Wearick-Silva, Eduardo Farias Sanches, Regis Gemerasca Mestriner, Gregers Wegener, Rodrigo Grassi-Oliveira
Summary: This study demonstrates that early environmental enrichment is effective in recovering memory impairments and hippocampal volume loss caused by hypoxia-ischemia. However, the expression of Bdnf was not associated with the improvement in memory performance observed in animals exposed to EE after a hypoxic-ischemic event.
BEHAVIOURAL BRAIN RESEARCH
(2021)
Review
Neurosciences
Sanjay M. Sisodiya, Christopher D. Whelan, Sean N. Hatton, Khoa Huynh, Andre Altmann, Mina Ryten, Annamaria Vezzani, Maria Eugenia Caligiuri, Angelo Labate, Antonio Gambardella, Victoria Ives-Deliperi, Stefano Meletti, Brent C. Munsell, Leonardo Bonilha, Manuela Tondelli, Michael Rebsamen, Christian Rummel, Anna Elisabetta Vaudano, Roland Wiest, Akshara R. Balachandra, Nuria Bargallo, Emanuele Bartolini, Andrea Bernasconi, Neda Bernasconi, Boris Bernhardt, Benoit Caldairou, Sarah J. A. Carr, Gianpiero L. Cavalleri, Fernando Cendes, Luis Concha, Patricia M. Desmond, Martin Domin, John S. Duncan, Niels K. Focke, Renzo Guerrini, Khalid Hamandi, Graeme D. Jackson, Neda Jahanshad, Reetta Kalviainen, Simon S. Keller, Peter Kochunov, Magdalena A. Kowalczyk, Barbara A. K. Kreilkamp, Patrick Kwan, Sara Lariviere, Matteo Lenge, Seymour M. Lopez, Pascal Martin, Mario Mascalchi, Jose C. V. Moreira, Marcia E. Morita-Sherman, Heath R. Pardoe, Jose C. Pariente, Kotikalapudi Raviteja, Cristiane S. Rocha, Raul Rodriguez-Cruces, Margitta Seeck, Mira K. H. G. Semmelroch, Benjamin Sinclair, Hamid Soltanian-Zadeh, Dan J. Stein, Pasquale Striano, Peter N. Taylor, Rhys H. Thomas, Sophia I. Thomopoulos, Dennis Velakoulis, Lucy Vivash, Bernd Weber, Clarissa Lin Yasuda, Junsong Zhang, Paul M. Thompson, Carrie R. McDonald
Summary: Epilepsy is a common and serious neurological disorder. MRI has been instrumental in advancing our understanding of epilepsy, and the ENIGMA-Epilepsy project aims to strengthen epilepsy research by increasing sample sizes and collaborating with scientists and clinicians.
HUMAN BRAIN MAPPING
(2022)
Article
Neurosciences
Fan-Pei Gloria Yang, Tzu-Yu Liu, Chih-Hsuan Liu, Shumei Murakami, Toshiharu Nakai
Summary: This study used fMRI to examine the neural basis of the response to cognitive training in healthy older adults. The findings revealed that cognitive training increased connectivity in frontotemporal regions related to language and memory functions. There were also significant correlations between the behavioral changes in a linguistic task and connectivity in regions associated with goal-oriented persistence and lexical processing. The increased hippocampal connectivity was consistent with previous research on memory improvement. The study suggests that cognitive training can promote neural changes in the right direction and potentially mitigate age-associated cognitive decline.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Behavioral Sciences
Ozge Selin Cevik, Kenan Cevik, Gulhan Orekici Temel, Leyla Sahin
Summary: This study examined the effects of environmental enrichment on memory functions in maternally separated rats. The results showed that environmental enrichment did not affect memory performance, while maternal separation increased it. This suggests that environmental enrichment alone is not sufficient to compensate for the detrimental effects of maternal separation stress on memory.
BEHAVIOURAL BRAIN RESEARCH
(2023)
Article
Psychology, Biological
Gerardo Bernabe Ramirez-Rodriguez, Beatriz Gutierrez-Vera, Leonardo Ortiz-Lopez, Nelly Maritza Vega-Rivera, David Meneses-San Juan, Andrea Granados-Juarez, Dana Vianey Castro-de Aquino, Mario Castro-Garcia, Monica Flores Ramos
Summary: This study investigated the effects of environmental enrichment on hippocampal neurogenesis and anxiety, and found that any change in environmental complexity reduced anxiety. Furthermore, voluntary physical activity promoted cell maturation in the granular cell layer of the hippocampus.
PHYSIOLOGY & BEHAVIOR
(2022)
Article
Psychology, Biological
Gerardo Bernabe Ramirez-Rodriguez, Beatriz Gutierrez-Vera, Leonardo Ortiz-Lopez, Nelly Maritza Vega-Rivera, David Meneses-San Juan, Andrea Granados-Juarez, Dana Vianey Castro-de Aquino, Mario Castro-Garcia, Monica Flores Ramos
Summary: The study found that changes in ENR complexity over time can reduce anxiety, while voluntary physical activity and changes in environmental complexity can promote neurogenesis. Additionally, any variation in ENR complexity can decrease anxiety-like behaviors.
PHYSIOLOGY & BEHAVIOR
(2022)
Article
Clinical Neurology
Akila Pai, Lara V. Marcuse, Judy Alper, Bradley N. Delman, John W. Rutland, Rebecca E. Feldman, Patrick R. Hof, Madeline Fields, James Young, Priti Balchandani
Summary: The study utilized automated segmentation technology combined with 7T MRI to detect hippocampal pathology in epilepsy patients, revealing that 7T MRI improved visualization of structural abnormalities in patients with unilateral mesial temporal lobe epilepsy and automated segmentation algorithm could detect structural differences in volume and asymmetry across hippocampal subfields.
FRONTIERS IN NEUROLOGY
(2021)
Article
Anatomy & Morphology
Josh Neudorf, Shaylyn Kress, Ron Borowsky
Summary: The relationship between structural and functional connectivity in the human brain is a fundamental question in network neuroscience, crucial for understanding functional outcomes. Graph theory measures based on the structural connectivity network have been used to study functional connectivity. The diffusion model accounts for more variance in functional connectivity than the shortest path routing model, suggesting that it is better suited to describe the structure-function relationship in the human brain at the macroscale.
BRAIN STRUCTURE & FUNCTION
(2023)
Article
Biochemistry & Molecular Biology
Gerardo Bernabe Ramirez-Rodriguez, Nelly Maritza Vega-Rivera, David Meneses-San Juan, Leonardo Ortiz-Lopez, Erika Montserrat Estrada-Camarena, Monica Flores-Ramos
Summary: The study found that fluoxetine, environmental enrichment, and their combination had significant effects on depressive-associated behavior, with fluoxetine reversing anhedonia and the environmental enrichment improving the coat deterioration and anhedonia. Additionally, the combination of fluoxetine and environmental enrichment showed more significant effects than fluoxetine alone on certain events of the neurogenic process, indicating that environmental enrichment enhances the benefits of pharmacological treatment.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Psychology, Biological
Eduarda G. Nachtigall, Julia D. R. de Freitas, Lucas Aschidamini Marcondes, Cristiane R. G. Furini
Summary: The research found that environmental enrichment has a facilitating effect on memory persistence in rats, with 5 weeks of exposure having a positive impact. However, a two-week exposure did not affect memory persistence. Additionally, specific brain regions, such as the basolateral amygdala, medial prefrontal cortex, and CA1 region of the hippocampus, play important roles in mediating the effect of environmental enrichment on memory persistence.
PHYSIOLOGY & BEHAVIOR
(2023)
Article
Thermodynamics
Yanyu Qiao, Zhichao Chen, Zheng Yu, Guan Shuo, Jiawei Li, Zhenhua Yuan, Lingyan Zeng, Zhengqi Li
Summary: The combustion characteristics of pyrolytic semi-coke (SC) were studied by analyzing its physical and chemical properties. It was found that SC has a larger specific surface area, pore volume, and fractal dimension compared to anthracite. The main combustion stage of SC consists of fixed carbon combustion and CaCO3 decomposition, and it has a lower ignition temperature than anthracite.
COMBUSTION SCIENCE AND TECHNOLOGY
(2023)
Article
Thermodynamics
Jia Xing Liu, Hang Guo, Fang Ye, Chong Fang Ma
Summary: This paper investigates the electrical performance changes during continuous mode switching between fuel cell and electrolytic modes through experimental research. It is found that the voltage slightly decreases during mode switching, and the two-phase flow phenomenon is similar in different modes. Bubbles are generated and water is consumed in electrolytic mode, while liquid water gathers in the fuel cell mode. The cycle test results show that the voltage of both electrolytic cell and fuel cell decreases periodically, especially under high current density.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Chemistry, Organic
Jia-Bao Liu, Sunny Kumar Sharma, Vijay Kumar Bhat, Hassan Raza
Summary: This paper investigates two chemical structures and computes their multiset dimension and mixed metric dimension. The mixed metric dimension refers to the cardinality of the minimum set of elements that can distinguish different elements in chemical structures through recognition.
POLYCYCLIC AROMATIC COMPOUNDS
(2023)
Article
Engineering, Electrical & Electronic
Lijuan Zhang, Jiajun Liu, Dongming Li, Jinyuan Liu, Xiangkun Liu
Summary: In this paper, a segmentation network called MSAA-Net, which combines multi-scale features and an improved attention-aware U-Net, is proposed. The architecture improves the performance of U-Net and reduces computational costs by extracting features of different scales on a single feature layer and performing attention perception in the channel dimension.
SIGNAL IMAGE AND VIDEO PROCESSING
(2023)
Review
Materials Science, Multidisciplinary
Jun-Jie Wu, Hanfei Gao, Xue-Dong Wang, Yuchen Wu, Lei Jiang, Liang-Sheng Liao
Summary: This article reviews the recent advances of near-infrared (NIR) organic micro/nanolasers on nondoped molecule aggregates, covering the aspects of gain materials, fabrication of self-assembled microcavities, NIR lasing actions, and applications. The article aims to offer valuable insights for further development of high-performance NIR organic micro/nanolasers.
ADVANCED OPTICAL MATERIALS
(2023)
Article
Chemistry, Physical
Zhe An, Jiayu Liu, Meng Cao, Jian Zhang, Yanru Zhu, Hongyan Song, Xu Xiang, Jing He
Summary: This study reports a highly efficient one-pot conversion method from ethanol to DEE, achieving high ethanol conversion and DEE selectivity using a Bi/BiCeOx bifunctional catalyst. Efficient catalysis is achieved on the interfacial Bi delta+-O-v-Ce-III sites through strong metal-support interaction.
Article
Chemistry, Physical
Tiankai Chen, Jiali Li, Pengfei Cai, Qiaofeng Yao, Zekun Ren, Yixin Zhu, Saif Khan, Jianping Xie, Xiaonan Wang
Summary: Rapid and accurate chemical composition identification is crucial in chemistry. Optical absorption spectrometry has limitations in identifying complex chemical compositions, especially in nano-scale research. In this study, a machine-learning-based method is developed to identify the compositions of metal nanoclusters (NCs) from featureless spectra. The method achieves good matches and low error values on optical absorption spectra that are difficult for humans to interpret. This work opens up possibilities for precise identification of nanomaterials based on their optical properties.
Article
Engineering, Environmental
Francielle C. F. Marcos, Raphael S. Alvim, Lili Lin, Luis E. Betancourt, Davi D. Petrolini, Sanjaya D. Senanayake, Rita M. B. Alves, Jose M. Assaf, Jose A. Rodriguez, Reinaldo Giudici, Elisabete M. Assaf
Summary: The role of copper crystallization in enhancing methanol production via CO2 hydrogenation over CuZrO2 catalysts was investigated using a combination of experimental and computational studies. It was found that the intermediate steps of the catalyzed reaction might depend on the incorporation of copper in the zirconia sample. Catalysts containing only amorphous interfacial sites showed higher activity in the CO2-to-methanol hydrogenation process compared to catalysts with high crystallinity of copper.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Engineering, Environmental
Jun Yin, Jiali Li, Iftekhar A. Karimi, Xiaonan Wang
Summary: Modeling is crucial for reactor or process design, control, and optimization, but developing high-fidelity mechanistic models for complex reactor systems is time-consuming. Machine learning models using data-driven methods can fill the gap between complex systems and limited knowledge. This research presents a machine learning model architecture specifically for dynamic modeling of general flow reactors, achieving higher model accuracy, data efficiency, and model interpretability than commonly used models.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Chemistry, Physical
Junwei Zheng, Qian Ding, Aina He, Yaqiang Dong, Lei Xie, Xubin Li, Xincai Liu, Jiawei Li
Summary: Fe-Si-B-Cu-Nb nanocrystalline ribbons with increased annealing process window and insensitivity to impurities and surface-crystallized layer were successfully prepared using industrial raw materials.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Polymer Science
Jicheng Wang, Luotao Zhang, Haibin Hu, Jiawei Li, Dongming Qi
Summary: The morphology of nanofibrils in composite fibers can be manipulated by controlling the crosslinking network structure of the dispersed phase. The heterogeneity of the crosslinking network can lead to smaller diameter nanofibrils, resulting in increased tensile strength and toughness of the composite fibers.
JOURNAL OF APPLIED POLYMER SCIENCE
(2023)
Article
Environmental Sciences
Xiaoyang Yang, Dongsheng Ji, Jiawei Li, Jun He, Chongshui Gong, Xiaojuan Xu, Zhe Wang, Yu Liu, Fang Bi, Zhongzhi Zhang, Yunbo Chen
Summary: Limited by the scarcity of in situ vertical observation data, the influences of biomass burning in Southeast Asia on major atmospheric carbonaceous compositions in downwind regions have not been thoroughly studied. Aircraft observations were conducted to obtain vertical distributions of black carbon (BC), carbon monoxide (CO), and carbon dioxide (CO2). Four types of profiles were identified. Simulations showed that considering the vertical BC distribution is crucial in estimating the radiative forcing (RF) and heating rate (HR) caused by BC.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Fu Yanwen, Zhao Guojing, Dai Wenqian, Wang Yue, Li Jiawei, Tan Mengyu, Li Yan, Liu Haoran, Xie Bing, Jin Xiao, Fan Enyu, Zhao Lulu, Cao Jian, Yue Lei, Wu Chenghao, Chen Yongfeng, Chen Guoqiang, Zhang Yong, Luo Kezi, Yang Haitao, Han Xuemei, Ge Jianping, Zhu Jun, Feng Limin
Summary: The Chinese Loess Plateau has been severely impacted by anthropogenic activities, leading to minimal leopard sightings in recent decades. However, a recent discovery shows that the leopard population is recovering, offering hope for biodiversity conservation in human-dominated landscapes. By applying the concept of ecological networks, researchers identified key factors promoting leopard restoration and found that the connectivity of these networks positively influenced leopard survival. This study highlights the effectiveness of establishing ecologically connected habitats and the importance of using ecological networks for conservation planning in fragmented ecosystems.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Economics
Jiaming Liu, Chengzhang Li, Peng Ouyang, Jiajia Liu, Chong Wu
Summary: Financial distress prediction is crucial in the fintech field. This study utilizes tree-based gradient boosting models to predict financial distress for Chinese listed companies. The results show that these models have better predictive performance and provide insights on the significant relationships between financial indicators and financial distress.
JOURNAL OF FORECASTING
(2023)
Article
Computer Science, Artificial Intelligence
Xiang Shi, Yinpeng Liu, Jiawei Liu, Qikai Cheng, Wei Lu
Summary: Scientific papers are crucial for academic communication, but many of them lack in-depth research and present core content ambiguously, hindering the progression of science and technology. To address this challenge, the INTEGrity vERification (INTEGER) task is introduced to help researchers assess the integrity of their papers and verify the clarity of each knowledge unit. A multi-task learning model utilizing Tucker decomposition and span-level attention mechanism is proposed to accurately identify terms and their integrity. Experimental results show the effectiveness of the model.
EXPERT SYSTEMS WITH APPLICATIONS
(2024)
