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Two-color emissive AIEgens with anti-Kasha property for dual-organelle imaging and phototherapy

Science China Chemistry 2024年第5期67卷 1740-1752页

作者： Pu Chen Guogang Shan Qingli Nie Yuting Yan Pengfei Zhang Zujin Zhao Hai-Tao Feng Ben Zhong Tang AIE Research Center Shaanxi Key Laboratory of PhytochemistryCollege of Chemistry and Chemical EngineeringBaoji University of Arts and SciencesBaoji 721013China Institute of Functional Material Chemistry and National&Local United Engineering Lab for Power Battery Faculty of ChemistryNortheast Normal UniversityChangchun 130024China College of Chemistry&Materials Science Northwest UniversityXi’an 710127China Guangdong Key Laboratory of Nanomedicine CAS-HK Joint Lab of BiomaterialsCAS Key Laboratory of Biomedical Imaging Science and SystemShenzhen Engineering Laboratory of Nanomedicine and NanoformulationsCAS Key Lab for Health InformaticsShenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China State Key Laboratory of Luminescent Materials and Devices Key Laboratory of Luminescence from Molecular Aggregates of Guangdong ProvinceSouth China University of TechnologyGuangzhou 510640China School of Science and Engineering Shenzhen Institute of Aggregate Science and TechnologyThe Chinese University of Hong KongShenzhen(CUHK-Shenzhen)Shenzhen 518172China

Despite the rapid development of probes for targeting single organelle, the construction of robust dual-organelle targeting probes with multicolor emission was rarely reported. Herein, two dual-emissive aggregation-induced emission luminogens(AIEgens)with donor-π-acceptor structures were designed and synthesized, namely QT-1 and QF-2. Both two AIEgens exhibited excitation wavelength-dependence defying the Kasha's rule, and could stain lipid droplets(LDs) and mitochondria in blue and red fluorescence, respectively. Moreover, thanks to the near-infrared emission and abundant reactive oxygen species(ROS) generation efficiency of QT-1, it was chosen as a photodynamic therapy agent to selectively kill cancer cells from normal cells. Upon light irradiation, an obvious decrease of mitochondrial membrane potential(MMP) and serious change of mitochondrial shape in cells were observed, which corresponded to the efficient inhibition of tumor growth in vivo. This work afforded a promising strategy for the construction of multicolor emission by tuning anti-Kasha behaviors and expanding their application in dualorganelle targeting-based phototheranostics.

关键词： aggregation-induced emission anti-Kasha luminescence fluorescent probe bioimaging photodynamic therapy

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IoT-Driven Optimal Lightweight RetinaNet-Based Object Detection for Visually Impaired People

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Computer Systems Science & Engineering 2023年第7期46卷 475-489页

作者： Mesfer Alduhayyem Mrim M.Alnfiai Nabil Almalki Fahd N.Al-Wesabi Anwer Mustafa Hilal Manar Ahmed Hamza Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia King Salman Center for Disability Research RiyadhAl-Hayātim 16273Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Special Education College of EducationKing Saud UniversityRiyadh12372Saudi Arabia Department of Computer Science College of Science&ArtsKing Khaled UniversityAr-Riyad 12372Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Visual impairment is one of the major problems among people of all age groups across the *** Impaired Persons(VIPs)require help from others to carry out their day-to-day *** they experience several problems in their daily lives,technical intervention can help them resolve the *** this background,an automatic object detection tool is the need of the hour to empower VIPs with safe *** recent advances in the Internet of Things(IoT)and Deep Learning(DL)techniques make it *** current study proposes IoT-assisted Transient Search Optimization with a Lightweight RetinaNetbased object detection(TSOLWR-ODVIP)model to help *** primary aim of the presented TSOLWR-ODVIP technique is to identify different objects surrounding VIPs and to convey the information via audio message to *** data acquisition,IoT devices are used in this ***,the Lightweight RetinaNet(LWR)model is applied to detect objects ***,the TSO algorithm is employed for fine-tuning the hyperparameters involved in the LWR ***,the Long Short-Term Memory(LSTM)model is exploited for classifying *** performance of the proposed TSOLWR-ODVIP technique was evaluated using a set of objects,and the results were examined under distinct *** comparison study outcomes confirmed that the TSOLWR-ODVIP model could effectually detect and classify the objects,enhancing the quality of life of VIPs.

关键词： Visually impaired people deep learning object detection computer vision long short-term memory transient search optimization

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Deep Learning Driven Arabic Text to Speech Synthesizer for Visually Challenged People

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Intelligent Automation & Soft Computing 2023年第6期36卷 2639-2652页

作者： Mrim M.Alnfiai Nabil Almalki Fahd N.Al-Wesabi Mesfer Alduhayyem Anwer Mustafa Hilal Manar Ahmed Hamza King Salman Center for Disability Research Riyadh13369Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Special Education College of EducationKing Saud UniversityRiyadh12372Saudi Arabia Department of Computer Science College of Science&Arts at MuhayelKing Khaled UniversityAbha62217Saudi Arabia Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam bin Abdulaziz UniversityAl-Aflaj16733Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharj16242Saudi Arabia

Text-To-Speech(TTS)is a speech processing tool that is highly helpful for visually-challenged *** TTS tool is applied to transform the texts into human-like ***,it is highly challenging to accomplish the TTS out-comes for the non-diacritized text of the Arabic language since it has multiple unique features and *** special characters like gemination and diacritic signs that correspondingly indicate consonant doubling and short vowels greatly impact the precise pronunciation of the Arabic ***,such signs are not frequently used in the texts written in the Arabic language since its speakers and readers can guess them from the context *** this background,the current research article introduces an Optimal Deep Learning-driven Arab Text-to-Speech Synthesizer(ODLD-ATSS)model to help the visually-challenged people in the Kingdom of Saudi *** prime aim of the presented ODLD-ATSS model is to convert the text into speech signals for visually-challenged *** attain this,the presented ODLD-ATSS model initially designs a Gated Recurrent Unit(GRU)-based prediction model for diacritic and gemination ***,the Buckwalter code is utilized to capture,store and display the Arabic *** improve the TSS performance of the GRU method,the Aquila Optimization Algorithm(AOA)is used,which shows the novelty of the *** illustrate the enhanced performance of the proposed ODLD-ATSS model,further experi-mental analyses were *** proposed model achieved a maximum accu-racy of 96.35%,and the experimental outcomes infer the improved performance of the proposed ODLD-ATSS model over other DL-based TSS models.

关键词： Saudi Arabia visually challenged people deep learning Aquila optimizer gated recurrent unit

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A sensory signature of unaffected biological parents predicts the risk of autism in their offspring

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Psychiatry and Clinical Neurosciences 2024年第1期78卷 60-68页

作者： Chen, Chenyi Cheng, Yawei Wu, Chien-Te Chiang, Chung-Hsin Wong, Ching-Ching Huang, Chih-Mao Martínez, Róger Marcelo Tzeng, Ovid J. L. Fan, Yang-Teng Graduate Institute of Injury Prevention and Control College of Public Health Taipei Medical University Taipei Taiwan Research Center of Brain and Consciousness Shuang-Ho Hospital Taipei Medical University New Taipei City Taiwan Graduate Institute of Mind Brain and Consciousness College of Humanities and Social Sciences Taipei Medical University Taipei Taiwan Psychiatric Research Center Wan Fang Hospital Taipei Medical University Taipei Taiwan Institute of Neuroscience and Brain Research Center National Yang Ming Chiao Tung University Taipei Taiwan Department of Physical Medicine and Rehabilitation National Yang Ming Chiao Tung University Hospital Yilan Taiwan International Research Center for Neurointelligence (WPI-IRCN) The University of Tokyo Institutes for Advanced Study (UTIAS) The University of Tokyo Tokyo Japan Department of Psychology and Research Center for Mind Brain and Learning National Chengchi University Taipei Taiwan Child Developmental Assessment & Intervention Center Department of Child & Adolescent Psychiatry Taipei City Hospital Taipei Taiwan Department of Biological Science and Technology National Yang Ming Chiao Tung University Hsinchu Taiwan Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) National Yang Ming Chiao Tung University Hsinchu Taiwan School of Psychological Sciences National Autonomous University of Honduras Tegucigalpa Honduras Cognitive Neuroscience Laboratory Institute of Linguistics Academia Sinica Taipei Taiwan College of Humanities and Social Sciences Taipei Medical University Taipei Taiwan Department of Educational Psychology and Counseling National Taiwan Normal University Taipei Taiwan Graduate Institute of Medicine Yuan Ze University Taoyuan Taiwan

Aim: Despite the emphasis on sensory dysfunction phenotypes in the revised diagnostic criteria for autism spectrum disorder (ASD), there has been limited research, particularly in the field of neurobiology, investigating the concordance in sensory features between individuals with ASD and their genetic relatives. Therefore, our objective was to examine whether neurobehavioral sensory patterns could serve as endophenotypic markers for ASD. Methods: We combined questionnaire- and lab-based sensory evaluations with sensory fMRI measures to examine the patterns of sensory responsivity in 30 clinically diagnosed with ASD, 26 matched controls (CON), and 48 biological parents for both groups (27 parents of individuals with ASD [P-ASD] and 21 for individuals with CON [P-CON]). Results: The ASD and P-ASD groups had higher sensory responsivity and rated sensory stimuli as more unpleasant than the CON and P-CON groups, respectively. They also exhibited greater hemodynamic responses within the sensory cortices. Overlapping activations were observed within these sensory cortices in the ASD and P-ASD groups. Using a machine learning approach with robust prediction models across cohorts, we demonstrated that the sensory profile of biological parents accurately predicted the likelihood of their offspring having ASD, achieving a prediction accuracy of 71.4%. Conclusions: These findings provide support for the hereditary basis of sensory alterations in ASD and suggest a potential avenue to improve ASD diagnosis by utilizing the sensory signature of biological parents, especially in families with a high risk of ASD. This approach holds promising prospects for early detection, even before the birth of the offspring. © 2023 The Authors. Psychiatry and Clinical Neurosciences published by John Wiley & Sons Australia, Ltd on behalf of Japanese Society of Psychiatry and Neurology.

关键词： autism spectrum disorder endophenotype machine learning parent–child dyads sensory responsivity

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Prediction of water quality parameters by IoT and machine learning

Prediction of water quality parameters by IoT and machine le...

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International Conference on Computer Communication and Informatics (ICCCI)

作者： Srinivas Kolli M. Ranjani P. Kavitha D. Arul Pon Daniel Awadhesh Chandramauli Department Of Information Technology VNR Vignana Jyothi Institute of Engineering & Technology Hyderabad India Computer Applications Jawaharlal Nehru college for women Ulundurpet India Muthayammal center for Advanced Research Muthayammal College of Arts & Science Department of Computer Science and Applications Loyola College of Arts & Science Department of Civil Engineering Uttaranchal Institute of Technology Uttaranchal University Dehrradun India

Increases in domestical applications and other applications drive the need for better clean Water Management in India. What makes up the “chemical, physical, and biological” quality of freshwater There are three stages in the conventional method of monitoring water quality: sample, analysis, and inquiry. The scientists do these by hand. This method needs to be foolproof and predict a water supply’s quality. They’re Using the development of wireless sensor technologies, has also been some investigation into the possibility of monitoring water quality with wireless sensors put in water and communicating with farmers through brief messages regarding water. There has also been a study into the possibility of employing machine learning algorithms to analyze water quality. In light of recent advances in Machine Communication, which allow for devices to communicate with one another and smart ly analyze the data they collect. We have developed an “smart water quality monitoring system by using wireless sensonrs” for residential areas that rely on water storage tanks. A pH sensor and a total dissolved solids meter are used in this system to provide accurate readings of the water’s pH and dissolved solids levels. K-Means clustering, a machine learning technique, has been used to forecast water quality using a training data set consisting of various water samples. This system is now in its prototype stage, used with low-cost embedded devices like the Arduino Uno and Raspberry Pi3.

关键词： Wireless communication Meters Wireless sensor networks Water storage Training data Prototypes Water quality

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High-throughput calculations of antiferromagnets hosting anomalous transport phenomena

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Physical Review B 2024年第9期109卷 094435-094435页

作者： Takuya Nomoto Susumu Minami Yuki Yanagi Michi-To Suzuki Takashi Koretsune Ryotaro Arita Research Center for Advanced Science and Technology University of Tokyo Komaba 153-8904 Japan Department of Mechanical Engineering and Science Kyoto University Kyoto 615-8540 Japan Liberal Arts and Sciences Toyama Prefectural University Toyama 939-0398 Japan Center for Computational Materials Science Institute for Materials Research Tohoku University Sendai 980-8577 Japan Center for Spintronics Research Network Graduate School of Engineering Science Osaka University Toyonaka Osaka 560-8531 Japan Department of Physics Tohoku University Sendai 980-8578 Japan Center for Emergent Matter Science RIKEN Wako 351-0198 Japan

We develop a high-throughput computational scheme based on cluster multipole theory to identify new functional antiferromagnets (AFMs). This approach is applied to 228 magnetic compounds listed in the AtomWork-Adv database, known for their elevated Néel temperatures. We conduct systematic investigations of both stable and metastable magnetic configurations of these materials. Our findings reveal that 34 of these compounds exhibit AFM structures with zero propagation vectors and magnetic symmetries identical to conventional ferromagnets, rendering them potentially invaluable for spintronics applications. By cross-referencing our predictions with the existing MAGNDATA database and published literature, we verify the reliability of our findings for 26 out of 28 compounds with partially or fully elucidated magnetic structures in the experiments. These results not only affirm the reliability of our scheme but also point to its potential for broader applicability in the ongoing quest for the discovery of functional magnets.

关键词： First-principles calculations Magnetic texture Spintronics Antiferromagnets Noncollinear magnets

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Virtual Reality in Depressive and Anxiety Symptomatology – Contributions to REVIDA project from a mobile app mapping

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Procedia Computer Science 2023年 219卷 1185-1192页

作者： Marília Ruívo Roberta Frontini Cláudia Pernencar ESAD.CR - School of Arts and Design Polytechnic of Leiria Caldas da Rainha Portugal ciTechCare - Center for Innovative Care and Health Technology Polytechnic of Leiria Leiria Portugal CIEQV - Life Quality Research Centre Polytechnic of Leiria Leiria Portugal LIDA—Arts and Design Research Lab Polytechnic Institute of Leiria Leiria Portugal ICNOVA—NOVA Institute of Communication NOVA School of Social Sciences and Humanities Universidade NOVA Lisboa Lisbon Portugal

The worldwide prevalence of mental health diseases is alarming. 792 million individuals have a mental disorder such as anxiety or depression. Treatment varies among the types of illness. They can be expensive and, in order to be effective, must address a combination of psychotherapy and medications. The drugs used for treating symptoms present a risk of negative side effects. Studies have shown the benefits of other co-therapies such as physical exercise. In this case, the ability to simulate reality can strongly increase the introduction of other psychological therapies and treatment results can be improved through new immersive experiences. Virtual Reality Exposure Therapy has demonstrated its effectiveness by allowing patients to gradually face fearful stimuli or stressful situations. Recent studies showed that the use of Virtual Reality is effective and safe for mental health. Particularly, in the scenario of how Virtual Reality simulation could increase empathy and behaviour change. This article presents a preliminary study of the REVIDA project: It aims to investigate through Benchmarking and SWOT Analysis the possible integration of Virtual Reality in mental illness monitoring in Portugal. Results show that there exist several new opportunities for using Virtual Reality technology in mental health and wellbeing.

关键词： Benchmarking Design Process Mental Health SWOT Analysis Virtual Reality

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N-doped carbon nanotubes supported CoSe_(2) nanoparticles:A highly efficient and stable catalyst for H_(2)O_(2) electrosynthesis in acidic media

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Nano research 2022年第1期15卷 304-309页

作者： Longcheng Zhang Jie Liang Luchao Yue Zhaoquan Xu Kai Dong Qian Liu Yonglan Luo Tingshuai Li Xiaohong Cheng Guanwei Cui Bo Tang Abdulmohsen Ali Alshehri Khalid Ahmed Alzahrani Xiaodong Guo Xuping Sun School of Chemical Engineering Sichuan UniversityChengdu 610065China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of ChinaChengdu 610054China Hubei Key Laboratory of Low Dimensional Optoelectronic Materials and Devices Hubei University of Arts and ScienceXiangyang 441053China College of Chemistry Chemical Engineering and Materials ScienceShandong Normal UniversityJinan 250014China Chemistry Department Faculty of Science&Center of Excellence for Advanced Materials ResearchKing Abdulaziz UniversityP.O.Box 80203Jeddah21589Saudi Arabia

Electrocatalytic oxygen reduction reaction(ORR)provides an attractive alternative to anthraquinone process for H_(2)O_(2) *** design of earth-abundant electrocatalysts for H_(2)O_(2) synthesis via a two-electron ORR process in acids is attractive but still:very *** this work,we report that nitrogen-doped carbon nanotubes as a multi-functional support for CoSe2 nanoparticles not only keep CoSe_(2) nanoparticles well dispersed but alter the crystal structure,which in turn improves the overall catalYtic behaviors and thereby renders high O_(2)-to-H_(2)O_(2) conversion *** 0.1 M HClO_(4),such CoSe_(2)@NCNTs hybrid delivers a high H_(2)O_(2) selectivity of 93.2% and a large H_(2)0_(2) yield rate of 172 ppm·h^(-1) with excellent durability up to 24 ***,CoSe_(2)@NCNTs performs effectively for organic dye degradation via electro-Fenton process.

关键词： cobalt selenide nitrogen-doped carbon nanotube electrocatalysis two-electron oxygen reduction reaction hydrogen peroxide

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Modeling soil degradation in a semi-arid region using GIS techniques and the RUSLE model: case study of the Hassan Addakhil Dam watershed (Ziz Basin, Morocco)

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Journal of Sedimentary Environments 2025年 1-16页

作者： Didi, Salahddine El Boute, Said Hilali, Abdessamad Benmoussa, Amroumoussa Hili, Aïman Ouakhir, Hasan Bouhachm, Said Najine, Abdessamad Wafik, Amina Ennaji, Widad Hajaj, Soufiane Geomatics Geo-Resources and Environment Laboratory Department of Earth Sciences Faculty of Sciences and Technology Sultan Moulay Slimane University Beni Mellal Morocco Research Laboratory of Space History Dynamics and Sustainable Development Faculty of Arts and Humanities Sais-Fes Sidi Mohamed Ben Abdellah University Fes Morocco Regional Centre of Agricultural Research of Tadla National Institute of Agricultural Research (INRA) Rabat Morocco Dynamics of Landscapes Risks and Heritage Laboratory-URL-CNRST Faculty of Arts and Humanities Sultan Moulay Slimane University Beni Mellal Morocco Higher Institutes of Nursing and Health Technology Professions Demography and Environment Beni Mellal Morocco Geosciences Unit Department of Geology AQUABIOTECH Laboratory Faculty of Sciences Semlalia Cadi Ayyad Marrakech University Marrakech Morocco Center for Remote Sensing Applications (CRSA) 43150 Mohammed VI Polytechnic University (UM6P) Ben Guerir Morocco

This study aims to assess annual soil erosion and sediment production in the upper watershed of the Oued Ziz, located upstream of the Hassan Addakhil Dam in the Drâa–Tafilalet region of southeastern Morocco. This watershed is characterized by rugged topography, low vegetation cover, and increasing anthropogenic pressure, and is further vulnerable to water erosion phenomena due to climate change. To achieve our objective, a synergistic approach was implemented using Geographic Information System (GIS), Remote Sensing (RS), and the Revised Universal Soil Loss Equation (RUSLE) model. RUSLE factor maps were generated using geological, topographical, and climatic data sets. As a result, the analysis revealed a soil loss ranging from 0 to 89.15 t/ha/year, with an average loss of approximately 3.69 t/ha/year. In addition, the synthetic map highlights varying levels of erosion sensitivity across the watershed, with notably higher sensitivity observed in the western region, particularly around the Jbel Aberdouz area, principally due to its steep slope and sparse vegetation cover. Ultimately, the research findings offer noteworthy scientific insights for policymakers and planners, enabling the development of sustainable and robust strategies for managing soil and water resources. Therefore, implementing soil and water conservation (SWC) strategies should be guided by the severity of soil erosion, ensuring that the most vulnerable areas receive prioritized intervention.

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Triangular Formation Cluster Space Control for Multi-Agent Entrapment/Escorting Tasks

Triangular Formation Cluster Space Control for Multi-Agent E...

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Control technology and Applications (CCTA),

作者： Ernesto Monroy Cruz Luis Rodolfo Garcia Carrillo Eduardo Steed Espinoza Quesada National Technological of Mexico (TecNM) Hidalgo Mexico Klipsch School of Electrical and Computer Engineering New Mexico State University New Mexico USA Center of Research and Advanced Studies of the National Polytechnic Institute Mexico National Council of Humanities Science and Technology Mexico

The task of enabling a multi-agent system for entrapping and escorting static/dynamic targets in the context of cluster space control is addressed. The proposed methodology consists of two main strategies. On one hand, the entrapping and escorting problems are specified in terms of cluster parameter trajectories, resulting in individual robot motions capable of satisfying the required multi-agent formation behavior. On the other hand, a fuzzy logic controller is designed in order to deal with the uncertainty in the model of the platform used in laboratory tests. Experimental results showing a team of three ground mobile robots entrapping a static target, as well as escorting a dynamic target demonstrate the effectiveness of the proposed control scheme.

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