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Asian Pacific Journal of Tropical Biomedicine 2023年第3期13卷 131-138页

作者： Naglaa M.El-Lakkany hadeel h.elkattan Alaa E.Elsisi Department of Pharmacology Theodor Bilharz Research InstituteWarrak El-HadarImbabaGiza 12411Egypt Department of Pharmacology and Toxicology Faculty of PharmacyTanta UniversityTantaEgypt

Objective:To evaluate the efficacy of ponatinib plus gossypol against colorectal cancer hCT-116 and Caco-2 ***:Cells were treated with ponatinib and/or gossypol at increasing concentrations to evaluate synergistic drug interactions by combination *** viability,FGF19/FGFR4,and apoptotic and autophagic cell death were ***:Ponatinib(1.25-40μM)and gossypol(2.5-80μM)monotherapy inhibited hCT-116 and Caco-2 cell viability in a doseand time-dependent *** combination of ponatinib and gossypol at a ratio of 1 to 2 significantly decreased cell viability(Ph a>2-and>4-fold reduction in IC50,respectively,after 24 h and 48 h,as compared to the IC50 of *** combined concentrations showed greater synergism(combination indexh a higher ponatinib dose reduction ***,ponatinib plus gossypol induced morphological changes in hCT-116and Caco-2 cells,increased beclin-1 and caspase-3,and decreased FGF19,FGFR4,Bcl-2 and p-Akt as compared to treatment with drugs ***:Gossypol enhances ponatinib's anticancer effects against colorectal cancer cells through antiproliferative,apoptotic,and autophagic *** may open the way for the future use of ponatinib at lower doses with gossypol as a potentially safer targeted strategy for colorectal cancer treatment.

关键词： Autophagy Apoptosis Cell viability FGF19/FGFR4 Gossypol Ponatinib hCT-116 Caco-2 Colorectal cancer

Together We Stand-Analyzing Schooling Behavior in Naive Newborn Guppies through Biorobotic Predators

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Journal of Bionic Engineering 2020年第1期17卷 174-184页

作者： Donato Romano hadeel Elayan Giovanni Benelli Cesare Stefanini The BioRobotics Institute Sant'Anna School of Advanced StudiesPontederaPisa 56025Italy healthcare Engineering Innovation Center(hEIC) Khalifa UniversityAbu DhabiPO Box 127788United Arab Emirates Department of Excellence in Robotics&A.I. Sant'Anna School of Advanced StudiesPisa 56127Italy Department of Electrical and Computer Engineering University of TorontoON M5SCanada Department of Agriculture Food and EnvironmentUniversity of PisaPisa 56124Italy

A major advantage of animal aggregations concerns cooperative antipredator *** behavior emerges earlier in many fish species,especially in those cannibalizing their *** is fundamental for developing schooling ***,the cognitive ability of naive newborn fish to aggregate remains ***,Poecilia reticulata,was selected as model organism to investigate how combinations of biomimetic robotic agents and adult conspecific olfactory cues affect collective responses in *** role of white and brown backgrounds in evoking aggregations was also *** cues were sufficient for triggering aggregations in *** newborns,although robotic agents had a higher influence on the group *** combination of robotic agents and olfactory cues increased schooling behavior ***,schooling was longer in the escape compartment when robotic agents were presented,except for the combination of the male-mimicking robotic fish plus adult guppy olfactory cues,with longer schooling behavior in the exploring *** of the tested cues,newborn fish aggregated preferentially on the brown areas of the ***,this research provides novel insights on the early collective cognitive ability of newborn fish,paving the way to the use of biomimetic robots in behavioral ecology experiments,as substitutes for real predators.

关键词： animal-robot interaction technology bio-hybrid intelligent systems antipredator strategy group behavior Poecilia reticulata

IoT & AI Enabled Three-Phase Secure and Non-Invasive COVID 19 Diagnosis System

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Computers, Materials & Continua 2022年第4期71卷 423-438页

作者： Anurag Jain Kusum Yadav hadeel Fahad Alharbi Shamik Tiwari Virtualization Department School of Computer ScienceUniversity of Petroleum and Energy StudiesDehradun248007UttarakhandIndia College of Computer Science and Engineering University of Ha’ilHa’ilKingdom of Saudi Arabia

Corona is a viral disease that has taken the form of an epidemic and is causing havoc worldwide after its first appearance in the Wuhan state of China in December *** to the similarity in initial symptoms with viral fever,it is challenging to identify this virus ***-detection of this virus at the early stage results in the death of the *** and densely populated countries face a scarcity of resources like hospitals,ventilators,oxygen,and healthcare *** like the Internet of Things(IoT)and artificial intelligence can play a vital role in diagnosing the COVID-19 virus at an early *** minimize the spread of the pandemic,IoT-enabled devices can be used to collect patient’s data remotely in a secure *** data can be analyzed through a deep learning model to detect the presence of the COVID-19 *** this work,the authors have proposed a three-phase model to diagnose covid-19 by incorporating a chatbot,IoT,and deep learning *** phase one,an artificially assisted chatbot can guide an individual by asking about some common *** case of detection of even a single sign,the second phase of diagnosis can be considered,consisting of using a thermal scanner and pulse *** case of high temperature and low oxygen saturation levels,the third phase of diagnosis will be recommended,where chest radiography images can be analyzed through an AI-based model to diagnose the presence of the COVID-19 virus in the human *** proposed model reduces human intervention through chatbot-based initial screening,sensor-based IoT devices,and deep learning-based X-ray *** also helps in reducing the mortality rate by detecting the presence of the COVID-19 virus at an early stage.

关键词： COVID-19 internet of things deep learning chatbot X-ray capsule network convolutional neural network

Dynamic stress concentration in an infinitely long cylindrical cavity due to a point spherical source embedded within a fluid-saturated poroelastic formation of infinite extent

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Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 139-156页

作者： h.hOSSEINI O.BALILAShAKI Department of Mechanical Engineering Faculty of EngineeringGolestan University

The effects of a harmonically exciting monopole source on an infinitely long cylindrical cavity embedded entirely within a fluid-saturated poroelastic formation of infinite extent are examined theoretically. It is assumed that the source is located outside the cavity at a specified distance from the borehole axis. The magnitudes of the hoop and radial stresses beside the pore pressures exerted on the interface and inside the porous medium surrounding the borehole are calculated and discussed. Biot's poroelastic modeling along with three types of boundary conditions for the cylindrical interface including the ideal fluid, empty borehole, and rigid inclusion with a hard boundary is employed for the analysis. Utilizing a proper translational addition theorem for expressing the incident spherical wave in terms of cylindrical wave expansions, the proposed boundary conditions at the interface are satisfied. Stresses are formulated by means of wave potential functions in a three-dimensional(3D) manner. The effects of the frequency and the radial distance between the source and borehole on the induced stresses are examined for the first cylindrical modes over frequency spectra. Two permeability conditions for the interface and three types of soils for the porous formation are considered throughout the analysis. To give an overall outline of the study, a numerical example is presented. The results clearly indicate that the distance is a key parameter and has considerable effects on the induced stress values. In addition, the interface permeability condition and soil characteristics play an important role in determining the dynamic response of the borehole. Finally,the obtained results are compared with the relevant analyses existing in the literature for some limit cases, and good agreement is achieved.

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Neuroinflammation as a therapeutic target in huntington's disease

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Neural Regeneration Research 2025年第3期20卷 817-818页

作者： Andrea Kwakowsky Thulani h.Palpagama Center for Brain Research and Department of Anatomy and Medical Imaging Faculty of Medical and Health SciencesUniversity of AucklandAucklandNew Zealand Pharmacology and Therapeutics School of MedicineGalway Neuroscience CentreUniversity of GalwayGalwayIreland

In 1872, George huntington presented his essay “On Chorea” to the Meigs and Mason Academy of Medicine and, in doing so, detailed a disease that would later bear his name. huntington's disease(hD) is a genetic, neurodegenerative disease that manifests as the loss of motor control,cognitive impairment,and mood and psychiatric changes in paents.

关键词： huntington inflammation Medicine

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Glial response in the midcingulate cortex in huntington’s disease

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Neural Regeneration Research 2025年第1期20卷 207-208页

作者： Thulani h.Palpagama Andrea Kwakowsky Center for Brain Research and Department of Anatomy and Medical Imaging Faculty of Medical and Health SciencesUniversity of AucklandAucklandNew Zealand Pharmacology and Therapeutics School of MedicineGalway Neuroscience CenterUniversity of GalwayGalwayIreland

huntington’s disease(hD)is a genetic disease characterized by the progressive degeneration of the striatum and *** can present with a variety of symptoms that can broadly be classified into motor symptoms,inclusive of choreatic movements and rigidity,mood and psychiatric symptoms,such as depression and apathy,and cognitive symptoms,such as cognitive *** causal mutation underlying hD results from an expansion of a CAG repeat sequence on the IT15 gene,resulting in the formation and accumulation of a mutant huntingtin protein.

关键词： huntington degeneration cortex

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high-throughput computational screening for twodimensional magnetic materials based on experimental databases of three-dimensional compounds

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npj Computational Materials 2020年第1期6卷 350-361页

作者： Daniele Torelli hadeel Moustafa Karsten W.Jacobsen Thomas Olsen Computational Atomic-scale Materials Design(CAMD) Department of PhysicsTechnical University of DenmarkDK-2800 Kgs.LyngbyDenmark

We perform a computational screening for two-dimensional(2D)magnetic materials based on experimental bulk compounds present in the Inorganic Crystal Structure Database and Crystallography Open Database.A recently proposed geometric descriptor is used to extract materials that are exfoliable into 2D derivatives and we find 85 ferromagnetic and 61 antiferromagnetic materials for which we obtain magnetic exchange and anisotropy parameters using density functional *** the easy-axis ferromagnetic insulators we calculate the Curie temperature based on a fit to classical Monte Carlo simulations of anisotropic heisenberg *** find good agreement with the experimentally reported Curie temperatures of known 2D ferromagnets and identify 10 potentially exfoliable 2D ferromagnets that have not been reported *** addition,we find 18 easy-axis antiferromagnetic insulators with several compounds exhibiting very strong exchange coupling and magnetic anisotropy.

关键词： magnetic compounds ferromagnetic

Does mesenchymal stem cell’s secretome affect spinal sensory circuits?Implication for pain therapies

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Neural Regeneration Research 2025年第1期20卷 181-183页

作者： Francesco Ferrini Esri h.Juárez Adalberto Merighi Department of Veterinary Sciences University of TurinGrugliascoTOItaly Department of Psychiatry and Neuroscience UniversitéLavalQuébec CityQCCanada

Mesenchymal stem cells(MSCs)are multipotent adult stem cells of mesodermal origin that can be isolated from various tissues,including bone marrow,tooth pulp,adipose tissue,and umbilical *** have gained significant attention in regenerative medicine due to their ability to modulate the immune system and favor tissue *** enrich the medium in which they are cultivated with a broad range of bioactive molecules,including growth factors,cytokines,chemokines,enzymes,nucleic acids,and extracellular vesicles that collectively compose the MSC *** increasing number of pre-clinical studies suggest that delivering in vivo an MSC-conditioned medium(i.e.,the medium collected from MSC cultures after at least 3 days of exposure)exerts neuroprotective and anti-inflammatory effects in a variety of neurological conditions.

关键词： protective clinical collective

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Smart Shoes Safety System for the Blind People Based on (IoT) Technology

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Computers, Materials & Continua 2023年第7期76卷 415-436页

作者： Ammar Almomani Mohammad Alauthman Amal Malkawi hadeel Shwaihet Batool Aldigide Donia Aldabeek Karmen Abu hamoodeh Research and Innovation Department Skyline University CollegeP.O.Box 1797SharjahUAE. IT-Department-Al-huson University College Al-Balqa Applied UniversityP.O.Box 50IrbidJordan Department of Information Security Faculty of Information TechnologyUniversity of PetraAmmanJordan

People’s lives have become easier and simpler as technology has *** is especially true with the Internet of Things(IoT).The biggest problem for blind people is figuring out how to get where they want to *** with good eyesight need to help these *** shoes are a technique that helps blind people find their way when they ***,a special shoe has been made to help blind people walk safely without worrying about running into other people or solid *** this research,we are making a new safety system and a smart shoe for blind *** system is based on Internet of Things(IoT)technology and uses three ultrasonic sensors to allow users to hear and react to *** has ultrasonic sensors and a microprocessor that can tell how far away something is and if there are any *** and flame sensors were used,and a sound was used to let the person know if an obstacle was near *** sensors use Global Positioning System(GPS)technology to detect motion from almost every side to keep an eye on them and ensure they are *** test our proposal,we gave a questionnaire to 100 *** questionnaire has eleven questions,and 99.1%of the people who filled it out said that the product meets their needs.

关键词： IoT smart shoe sensors GSM GPS Arduino blind people safety system

Leveraging Gradient-Based Optimizer and Deep Learning for Automated Soil Classification Model

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Computers, Materials & Continua 2023年第7期76卷 975-992页

作者： hadeel Alsolai Mohammed Rizwanullah Mashael Maashi Mahmoud Othman Amani A.Alneil Amgad Atta Abdelmageed Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityP.O.box 103786Riyadh11543Saudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt

Soil classification is one of the emanating topics and major concerns in many *** the population has been increasing at a rapid pace,the demand for food also increases *** approaches used by agriculturalists are inadequate to satisfy the rising demand,and thus they have hindered soil *** comes a demand for computer-related soil classification methods to support *** study introduces a Gradient-Based Optimizer and Deep Learning(DL)for Automated Soil Clas-sification(GBODL-ASC)*** presented GBODL-ASC technique identifies various kinds of soil using DL and computer vision *** the presented GBODL-ASC technique,three major processes are *** the initial stage,the presented GBODL-ASC technique applies the GBO algorithm with the EfficientNet prototype to generate feature *** soil categorization,the GBODL-ASC procedure uses an arithmetic optimization algorithm(AOA)with a Back Propagation Neural Network(BPNN)*** design of GBO and AOA algorithms assist in the proper selection of parameter values for the EfficientNet and BPNN models,*** demonstrate the significant soil classification outcomes of the GBODL-ASC methodology,a wide-ranging simulation analysis is performed on a soil dataset comprising 156 images and five *** simulation values show the betterment of the GBODL-ASC model through other models with maximum precision of 95.64%.

关键词： Soil classification earth sciences machine learning parameter optimization metaheuristics