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Data-driven drug repositioning using olfactory omics profiles:challenges and perspectives in neurodegeneration

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neural Regeneration Research 2025年第7期20卷 1997-1998页

作者： Paz Cartas-Cejudo Adriana Cortés Mercedes Lachén-Montes Elena Anaya-Cubero Joaquín Fernández-Irigoyen Enrique Santamaría Clinical neuroproteomics Unit Proteomics PlatformNavarrabiomedHospitalario Universitario de Navarra(HUN)Universidad Pública de Navarra(UPNA)IdiSNANavarra Institute for Health ResearchPamplonaSpain

Data-driven drug repositioning using olfactory omics profiles-challenges and perspectives in neurodegeneration:neurodegenerative diseases are characterized by progressive degeneration and loss of neuronal function in the central nervous *** diseases are often characterized as proteinopathies,which are disorders primarily driven by the aggregation or misfolding of specific amyloid proteins within cells,leading to their dysfunction and eventual *** the gain-of-function hypothesis related to the aggregation of these proteins,recently,an alternative hypothesis regarding the loss-of-function of the soluble monomeric proteins during the process of aggregation into amyloids is gaining *** last event is called proteinopenia and refers to conditions characterized by a deficiency or decrease in the levels of specific soluble proteins in the body(Ezzat et al.,2023).It has been demonstrated that levels of soluble proteins involved in neurodegenerative diseases are decreased.

关键词： diseases drug amyloid

Bio-capped and green synthesis of ZnO/g-C_(3)n_(4) nanocomposites and its improved antibiotic and photocatalytic activities: An exceptional approach towards environmental remediation

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Chinese Journal of Chemical Engineering 2023年第4期56卷 215-224页

作者： Iltaf khan Chunjuan Wang Shoaib khan Jinyin Chen Aftab khan Sayyar Ali Shah Aihua Yuan Sohail khan Mehwish KButt Humaira Asghar School of Environmental&Chemical Engineering Jiangsu University of Science and TechnologyZhenjiang 212100China College of Agriculture Shihezi UniversityShihezi 832003China Key Laboratory of Biology and Genetic Improvement of Horticultural Crops Northeast Agricultural UniversityHarbin 150030China Jiangxi Key Laboratory for Postharvest Technology and nondestructive Testing of Fruits and Vegetables College of AgronomyJiangxi Agricultural UniversityNanchang 330045China Department of Pharmacy University of SwabiKhyber Pakhtunkhwa 94640Pakistan Department of Physics University of Agriculture FaisalabadFaisalabad 38040Pakistan Department of Chemistry Government College University FaisalabadFaisalabad 38000Pakistan

In this research study, we have synthesized the bio-capped ZnO/g-C_(3)n_(4) nanocomposites by employing lemon juice(Citrus limon) as a stabilizer and mediator. Fruitfully, lemon juice which contains various acidic functional groups and citric acid has the capability to block the surface of g-C_(3)n_(4) from chemical reactivity and activated the surface of g-C_(3)n_(4) for various reactions. Consequently, the agglomeration behavior and controlled shape of g-C_(3)n_(4) has also been achieved. Our experimental results i.e. XRD,TEM, HRTEM, PL, FS, XPS, and PEC have confirmed that the lemon juice mediated and green g-C_(3)n_(4)(L-Cn) have good performances and remarkable visible light photocatalytic activities as compared to the chemically synthesized g-C_(3)n_(4)(Cn). Furthermore, the small surface area and low charge separation of g-C_(3)n_(4) is upgraded by coupling with Zn O nanoparticles. It is proved that the coupling of Zn O worked as a facilitator and photoelectron modulator to enhance the charge separation of g-C_(3)n_(4). Compared to pristine lemon-mediated green g-C_(3)n_(4)(L-Cn), the most active sample 5Zn O/L-Cn showed ~ 5-fold improvement in activities for ciprofloxacin(CIP) and methylene blue(MB) degradation. More specifically,the mineralization process and degradation pathways, and the mineralization process of ciprofloxacin(CIP) and methylene blue(MB) are suggested. Finally, our present novel research work will provide new access to synthesize the eco-friendly and bio-caped green g-C_(3)n_(4)nanomaterials and their employment for pollutants degradation and environmental purification.

关键词： Bio-caped green g-C_(3)n_(4) Lemon juice mediators ZnO/g-C_(3)n_(4)nanocomposite Environmental remediation Degradation pathways

neurocircuit regeneration by extracellular matrix reprogramming

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neural Regeneration Research 2025年第8期20卷 2300-2301页

作者： Shengzhang Su Ian n.Levasseur Kimberly M.Alonge Department of Medicinal Chemistry University of WashingtonSeattleWAUSA Department of Chemistry University of WashingtonSeattleWAUSA Department of Medicine University of Washington Medicine Diabetes InstituteSeattleWAUSA

The brain's extracellular matrix(ECM),which is comprised of protein and glycosaminoglycan(GAG)scaffolds,constitutes 20%-40% of the human brain and is considered one of the largest influencers on brain cell functioning(Soles et al.,2023).Synthesized by neural and glial cells,the brain's ECM regulates a myriad of homeostatic cellular processes,including neuronal plasticity and firing(Miyata et al.,2012),cation buffering(Moraws ki et al.,2015),and glia-neuron interactions(Anderson et al.,2016).Considering the diversity of functions,dynamic remodeling of the brain's ECM indicates that this understudied medium is an active participant in both normal physiology and neurological diseases.

关键词： matrix programming

From single to combinatorial therapies in spinal cord injuries for structural and functional restoration

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neural Regeneration Research 2025年第3期20卷 660-670页

作者： Ernesto Doncel-Pérez Gabriel Guízar-Sahagún Israel Grijalva-Otero Hospital nacional de Parapléjicos de Toledo Servicio de Salud de Castilla La Mancha(SESCAM)ToledoSpain Medical Research Unit for neurological Diseases UMAE Hospital de EspecialidadesCentro Médico Nacional Siglo XXIIMSSCiudad de MéxicoMéxico

Spinal cord injury results in paralysis, sensory disturbances, sphincter dysfunction, and multiple systemic secondary conditions, most arising from autonomic dysregulation. All this produces profound negative psychosocial implications for affected people, their families, and their communities;the financial costs can be challenging for their families and health institutions. Treatments aimed at restoring the spinal cord after spinal cord injury, which have been tested in animal models or clinical trials, generally seek to counteract one or more of the secondary mechanisms of injury to limit the extent of the initial damage. Most published works on structural/functional restoration in acute and chronic spinal cord injury stages use a single type of treatment: a drug or trophic factor, transplant of a cell type, and implantation of a biomaterial. Despite the significant benefits reported in animal models, when translating these successful therapeutic strategies to humans, the result in clinical trials has been considered of little relevance because the improvement, when present, is usually insufficient. Until now, most studies designed to promote neuroprotection or regeneration at different stages after spinal cord injury have used single treatments. Considering the occurrence of various secondary mechanisms of injury in the acute and sub-acute phases of spinal cord injury, it is reasonable to speculate that more than one therapeutic agent could be required to promote structural and functional restoration of the damaged spinal cord. Treatments that combine several therapeutic agents, targeting different mechanisms of injury, which, when used as a single therapy, have shown some benefits, allow us to assume that they will have synergistic beneficial effects. Thus, this narrative review article aims to summarize current trends in the use of strategies that combine therapeutic agents administered simultaneously or sequentially, seeking structural and functional restoratio

关键词： neural regeneration neuroprotection spinal cord injury repair spinal cord injury treatments structural restoration of spinal cord injury

Second Law Analysis and Optimization of Elliptical Pin Fin Heat Sinks Using Firefly Algorithm

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Computers, Materials & Continua 2020年第11期65卷 1015-1032页

作者： nawaf n.Hamadneh Waqar A.khan Ilyas khan Department of Basic Sciences College of Science and Theoretical StudiesSaudi Electronic UniversityRiyadh11673Saudi Arabia Department of Mechanical Engineering College of EngineeringPrince Mohammad Bin Fahd UniversityAl Khobar31952Saudi Arabia Faculty of Mathematics and Statistics Ton Duc Thang UniversityHo Chi Minh City72915Vietnam

One of the most significant considerations in the design of a heat sink is thermal management due to increasing thermal flux and miniature in *** heat sinks utilize plate or pin fins depending upon the required heat dissipation *** are designed to optimize overall *** pin fin heat sinks enhance heat transfer rates and reduce the pumping *** this study,the Firefly Algorithm is implemented to optimize heat sinks with elliptical *** pin-fins are arranged in an inline *** nature-inspired metaheuristic algorithm performs powerfully and efficiently in solving numerical global optimization *** on mass,energy,and entropy balance,three models are developed for thermal resistance,hydraulic resistance,and entropy generation rate in the heat *** major axis is used as the characteristic length,and the maximum velocity is used as the reference *** entropy generation rate comprises the combined effect of thermal resistance and pressure *** total EGR is minimized by utilizing the firefly *** optimization model utilizes analytical/empirical correlations for the heat transfer coefficients and friction *** is shown that both thermal resistance and pressure drop can be simultaneously optimized using this *** is demonstrated that the performance of FFA is much better than PPA.

关键词： Firefly algorithm mathematical models entropy generation rate elliptical pin-fin heat sinks thermal resistance pressure drop

Etch Induction Time in CR-39 Detectors Etched in na2CO3 Mixed naOH Solution

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Chinese Physics Letters 2009年第9期26卷 105-107页

作者： n. Ali E. U. khan K. khan DPAM PLEAS P.O. Nilore Islamabad Pakistan P.D PINSTECH P.O. Nilore Islamabad Pakistan Department of Physics CIIT Islamabad Pakistan HPD PINSTECH P.O. Nilore Islamabad Pakistan

Six different solutions of 6M naOH, containing different amounts of na2CO3 at 70℃ were used for the revelation of latent damage trails in CR-39 plastic track detectors. These detectors were earlier exposed to fission fragments from ^252 Cf source for 30 min in vacuum and were then etched in the respective solutions for different etching time intervals of 5-20 min starting from 5min up to 160min. The etch induction time in each detector was obtained by extrapolating the intersection of resulting curves of track lengths and track diameters with the time axis.

关键词： no English Keyword

Eliminating the Unruh effect of relativistic Dirac fields by partial measurements

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Communications in Theoretical Physics 2020年第12期72卷 130-136页

作者： n.a.khan Syed Tahir Amin Munsif Jan Centro de Física das Universidades do Minho e Porto Departamento de Física e AstronomiaFaculdade de CiênciasUniversidade do Porto4169-007 PortoPortugal Departamento de Física Instituto Superior TécnicoUniversidade de LisboaAv.Rovisco Pais1049-001 LisboaPortugal CeFEMA Instituto Superior TécnicoUniversidade de LisboaAv.Rovisco Pais1049-001 LisboaPortugal Instituto de Telecomunicacoes LAv.Rovisco Pais1049-001 LisboaPortugal CAS Key Laboratory of Quantum Information University of Science and Technology of ChinaHefei 230026China

The retrieval of lost entanglement for relatively accelerated fermionic observers of a tripartite system by a partial measurement technique has been *** the prospective of the negativities of one-tangles and theπ-tangle,we show that the degraded entanglement in noninertial frames with single-mode approximation is completely retrieved by an optimal strength of the partial measurement or the partial measurement *** addition,we find that the optimal one-tangle with respect to inertial and noninertial observers turns out to be the same for an optimal strength of partial measurements at q0=0 when two accelerated observers move with infinite acceleration.

关键词： entanglement retrieval π-tangle Unruh decoherence

5DGWO-GAn:A novel Five-Dimensional Gray Wolf Optimizer for Generative Adversarial network-Enabled Intrusion Detection in IoT Systems

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Computers, Materials & Continua 2025年第1期82卷 881-911页

作者： Sarvenaz Sadat Khatami Mehrdad Shoeibi Anita Ershadi Oskouei Diego Martín Maral Keramat Dashliboroun Department of Data Science Engineering University of HoustonHoustonTX 77204USA The WPI Business School Worcester Polytechnic InstituteWorcesterMA 01609USA School of Systems and Enterprises Stevens Institute of TechnologyHobokenNJ 07030USA Department of Computer Science Escuela de Ingeniería Informática de SegoviaUniversidad de ValladolidSegovia40005Spain Ernest G.Welch School of Art&Design Georgia State UniversityAtlantaGA 30303USA

The Internet of Things(IoT)is integral to modern infrastructure,enabling connectivity among a wide range of devices from home automation to industrial control *** the exponential increase in data generated by these interconnected devices,robust anomaly detection mechanisms are *** detection in this dynamic environment necessitates methods that can accurately distinguish between normal and anomalous behavior by learning intricate *** paper presents a novel approach utilizing generative adversarial networks(GAns)for anomaly detection in IoT ***,optimizing GAns involves tuning hyper-parameters such as learning rate,batch size,and optimization algorithms,which can be challenging due to the non-convex nature of GAn loss *** address this,we propose a five-dimensional Gray wolf optimizer(5DGWO)to optimize GAn *** 5DGWO introduces two new types of wolves:gamma(γ)for improved exploitation and convergence,and theta(θ)for enhanced exploration and escaping local *** proposed system framework comprises four key stages:1)preprocessing,2)generative model training,3)autoencoder(AE)training,and 4)predictive model *** generative models are utilized to assist the AE training,and the final predictive models(including convolutional neural network(Cnn),deep belief network(DBn),recurrent neural network(Rnn),random forest(RF),and extreme gradient boosting(XGBoost))are trained using the generated data and AE-encoded *** evaluated the system on three benchmark datasets:nSL-KDD,UnSW-nB15,and *** conducted on diverse IoT datasets show that our method outperforms existing anomaly detection strategies and significantly reduces false *** 5DGWO-GAn-CnnAE exhibits superior performance in various metrics,including accuracy,recall,precision,root mean square error(RMSE),and convergence *** proposed 5DGWO-GAn-CnnAE achieved the lowest RMSE values across the nSL-KDD,UnSW-nB15,and

关键词： Internet of things intrusion detection generative adversarial networks five-dimensional binary gray wolf optimizer deep learning

On ideal convergence of double sequences in 2-fuzzy n-normed linear space

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Applied Mathematics(A Journal of Chinese Universities) 2022年第2期37卷 177-186页

作者： Vakeel A.khan Sameera A.A.Abdullah Kamal M.A.S.Alshlool Umme Tuba nazneen khan Department of Mathematics Aligarh Muslim UniversityAligarh 202002India Department of Mathematics Sultan Qaboos UniversityMuscatOman

The purpose of this paper is to define the notions of convergence, Cauchy st–convergence, st–Cauchy, I –convergence and I –Cauchy for double sequences in 2–fuzzy n–normed spaces with respect to α–n–norms and ... 详细信息

关键词： 2-fuzzy n-normed spaces -n-norm I-convergence I-Cauchy