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Mesenchymal stem cell secretome: A promising therapeutic strategy for erectile dysfunction?

Asian Journal of Urology 2024年第3期11卷 391-405页

作者： Ria Margiana younes Pilehvar Fatkhurrohmah LAmalia Silvia WLestari Supardi Supardi Reny i’tishom Department of Anatomy Faculty of MedicineUniversitas IndonesiaJakartaIndonesia Master’s Programme Biomedical Sciences Faculty of MedicineUniversitas IndonesiaJakartaIndonesia Andrology Program Faculty of MedicineUniversitas AirlanggaSurabayaIndonesia Dr.Soetomo General Academic Hospital SurabayaIndonesia indonesia General Academic Hospital DepokIndonesia Ciptomangunkusumo General Academic Hospital JakartaIndonesia Cellular and Molecular Research Center Cellular and Molecular Medicine Research InstituteUrmia University of Medical ScienceUrmiaIran Dr.Kariadi Hospital SemarangIndonesia Department of Medical Biology Faculty of MedicineUniversitas IndonesiaJakartaIndonesia Department of Biomedical Science Faculty of MedicineUniversitas Airlangga SurabayaIndonesia

Objective:The secretome,comprising bioactive chemicals released by mesenchymal stem cells(MSCs),holds therapeutic promise in regenerative *** review aimed to explore the therapeutic potential of the MSC secretome in regenerative urology,particularly for treating erectile dysfunction(ED),and to provide an overview of preclinical and clinical research on MSCs in ED treatment and subsequently to highlight the rationales,mechanisms,preclinical investigations,and therapeutic potential of the MSC secretome in this ***:The review incorporated an analysis of preclinical and clinical research involving MSCs in the treatment of ***,it delved into the existing knowledge regarding the MSC secretome,exploring its therapeutic *** methods included a comprehensive examination of relevant literature to discern the processes underlying the therapeutic efficacy of the MSC secretome.

关键词： Erectiledysfunction Mesenchymal stem cell Mesenchymal stem cell secretome Mesenchymal stem cell-derived exosome

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Tocotrienol isoforms:The molecular mechanisms underlying their effects in cancer therapy and their implementation in clinical trials

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Journal of integrative Medicine 2024年第1期22卷 1-11页

作者： Maria younes Ghady Loubnane Christopher Sleiman Sandra Rizk Department of Natural Sciences Lebanese American UniversityByblosLebanon

Tocotrienols are found in a variety of natural sources,like rice bran,annatto seeds and palm oil,and have been shown to have several health-promoting properties,particularly against chronic diseases such as *** incidence of cancer is rapidly increasing around the world,not only a result of continued aging and population growth,but also due to the adoption of aspects of the Western lifestyle,such as high-fat diets and low-physical *** literature provides strong evidence that tocotrienols are able to inhibit the growth of various cancers,including breast,lung,ovarian,prostate,liver,brain,colon,myeloma and pancreatic *** findings,along with the reported safety profile of tocotrienols in healthy human volunteers,encourage further research into these compounds’potential use in cancer prevention and *** current review provided detailed information about the molecular mechanisms of action of different tocotrienol isoforms in various cancer models and evaluated the potential therapeutic effects of different vitamin E analogues on important cancer hallmarks,such as cellular proliferation,apoptosis,angiogenesis and ***/PubMed and Scopus databases were used to identify recently published articles that investigated the anticancer effects of vitamin E derivatives in various types of cancer in vitro and in vivo along with clinical evidence of adjuvant chemopreventive *** an overview of pre-clinical studies,we describe several completed and ongoing clinical trials that are paving the way for the successful implementation of tocotrienols in cancer chemotherapy.

关键词： Vitamin E Tocotrienols Cancer Molecular mechanism Clinical trials

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Optimal site selection for geothermal heated greenhouses in cold climates:a fuzzy logic and geographic information system approach

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Clean Energy 2024年第2期8卷 8-26页

作者： Amirhossein Mirabadi Saeid Minaei younes Noorollahi Morteza Almasi Department of Agricultural Systems Science and Research BranchIslamic Azad UniversityTehranIran Biosystems Engineering Department Faculty of AgricultureTarbiat Modares UniversityTehranIran Energy Modelling and Sustainable Energy System(METSAP)Research Lab. Faculty of New Sciences and TechnologiesUniversity of TehranIran

This paper presents a comprehensive model for selecting optimal sites for geothermal heated greenhouses in the agricultural *** research involves two main components:assessing the geothermal energy resource using geological,geochemical and geophysical indicators;and developing a siting model based on fuzzy logic that considers technical,environmental and socio-economic fac*** study focuses on East Azerbaijan province in iran-a cold *** results indicate that~3.24%of the total area of the province is suitable for constructing geothermal greenhouses,resulting in potential savings of~148000 and 745978 m3 of natural gas in areas with high and very high suitability,respectively.

关键词： geothermal energy site selection GiS fuzzy logic resource assessment

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integrated hazard assessment of rockfall incidents in the Cap Aokas Cliff Region

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Journal of Mountain Science 2024年第6期21卷 1916-1929页

作者： Zohra LADJEL Farid ZAHRi Riheb HADJi younes HAMED Karim ZiGHMi Kaddour BENMARCE Department of Earth Sciences Institute of Architecture and Earth SciencesFerhat Abbas UniversitySetif 19137Algeria Unit of Emerging Materials Research Ferhat Abbes UniversitySétif 19137Algeria Laboratory of Applied Research in Engineering Geology GeotechnicsWater Sciencesand EnvironmentFerhat Abbas UniversitySetif 19137Algeria international Association of Water Resources in the Southern Mediterranean Basin Gafsa 2112Tunisia Department of Earth Sciences Faculty of SciencesUniversity of GafsaGafsa 2112Tunisia

Rock fall accidents in mountainous cliff areas have significant consequences for human life and *** study aimed to evaluate the rockfall hazard in the Cap Aokas cliff region located along the northeast coast of Algeria by identifying the key factors contributing to rockfall *** employed a combination of kinematic analysis,Matterocking method,and 3D trajectory simulations to determine zones that are susceptible to rockfall *** using a probabilistic and structural approach in conjunction with photogrammetry,we identified the controlling *** kinematic analysis revealed the presence of five discontinuity families,which indicated both plane and wedge failure *** 3D trajectory simulations demonstrated that the falling blocks followed the stream *** then validated the susceptibility maps generated from the analysis using aerial photos and historical rockfall *** findings of this study enhance our understanding of rockfall phenomena and provide valuable insights for the development of effective strategies to mitigate rockfall hazards.

关键词： Trajectory simulations Probabilistic analysis Structural approach Rockfall hazard Cap Aokas cliff

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Advanced wind turbine blade inspection with hyperspectral imaging and 3D convolutional neural networks for damage detection

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Energy and Ai 2024年第2期16卷 528-537页

作者： Patrick Rizk Frederic Rizk Sasan Sattarpanah Karganroudi Adrian ilinca Rafic younes Jihan Khoder Department of Mechanical Engineering Universitédu QuébecàTrois-RivièresDrummondvilleQCCanada Centre national intégrédu manufacturier intelligent(CNiMi) Universitédu QuébecàTrois-RivièresDrummondvilleQCCanada Department of Mathematics Computer Science and EngineeringUniversitédu QuébecàRimouski300 allée des UrsulinesRimouskiQCG5L3A1Canada The Center for Advanced Computer Studies University of Louisiana at LafayetteLafayetteLAUSA T3E industrial Research Group Mechanical Engineering DepartmentÉcole de Technologie Supérieure1100 Notre-Dame St WMontréalQC H3C 1K3Canada Faculty of Engineering Third BranchLebanese UniversityHadathBeirutLebanon LiSV Laboratory University of Versailles Saint-Quentin-en-Yvelines10-12 Avenue de l'Europe78140VélizyFrance

in the context of global efforts to mitigate climate change by pursuing sustainable energy sources, wind energy has emerged as a critical contributor. However, the wind energy industry faces substantial challenges in maintaining and preserving the integrity of wind turbine blades. Timely and accurate detection and classification of blade faults, encompassing issues such as cracks, erosion, and ice buildup, are imperative to uphold wind turbines' ongoing efficiency and safety. This study introduces an inventive approach that amalgamates hyperspectral imaging and 3D Convolutional Neural Networks (CNNs) to augment the precision and efficiency of wind turbine blade fault detection and classification. Hyperspectral imaging is harnessed to capture comprehensive spectral information from blade surfaces, facilitating exact fault identification. The process is streamlined through incremental Principal Component Analysis (iPCA), reducing data dimensions while maintaining integrity. The 3D CNN model demonstrates remarkable performance, achieving high accuracy in detecting all fault categories in full-band hyperspectral images. The model retains high accuracy even with dimensionality reduction to 20 spectral bands. The reduced processing time of the 20-band image enhances the practicality of real-world applications, thereby reducing downtime and maintenance expenditures. This research represents a significant advancement in wind turbine blade inspection, contributing to the sustainability and dependability of wind energy systems and furthering the cause of a cleaner and more sustainable energy future as part of the broader fight against climate change.

关键词： blade thereby turbine

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The use of new class α-amino nitrile modified magnetic adsorbents for removal of Cd(ii) from aqueous medium: Sorbent modification vs. α-amino nitrile addition to the adsorption medium

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Emerging Contaminants 2024年第1期10卷 32-46页

作者： Eyad A.younes Amjad H.El-Sheikh Rawan B.Alsmadi Department of Chemistry Faculty of ScienceThe Hashemite UniversityP.O.Box 330127Zarqa13133Jordan

in the present work,some novel α-amino nitriles were prepared:amino-2-(anthracen-9-yl)acetonitrile(AAN),and 2-(naphthalen-1-yl)-2-((triethoxysilyl)propyl)amino)acetonitrile(Si-AN).With the aid of other organic compounds(3-aminopropyl triethoxysilane“APTES”and tetraethyl orthosilicate“TEOS”),the following carbon nanotubes“CNT”and magnetite“Mag”based adsorbents were prepared:CNT-AAN,Mag-SiO_(2),Mag-SiO_(2)-APTES,Mag-SiO_(2)-*** FT-iR,1H and 13C NMR spectroscopy proved the formation of(C triple bond N)and(NH-)bonds which indicated successful amino nitrile modification of the *** ability of the above-mentioned adsorbents to remove cadmium“Cd(ii)”from water was studied at various pH *** modification with AAN reduced Cd(ii)uptake,while all Mag modifications increased Cd *** addition of AAN to the extraction medium with CNT sorbent reduced Cd(ii)*** addition of TEOS and Si-AN to the extraction medium for Cd(ii)removal using Mag was studied where a positive impact was *** on the above experiments,it was decided to use Mag as adsorbent with the addition of Si-AN to the extraction *** optimization recommended pH 8 and Cd:Si-AN molar ratio of 1:*** maximum adsorption capacity towards Cd(ii)achieved in this study was 65 mg g^(−1).The method selectivity,re-usability and applicability on well water and tap water samples gave appropriate *** adsorption of Cd(ii)on Mag in the presence of Si-AN was fast,endothermic,spontaneous,favored and physi-sorption was predominant.

关键词： Amino nitriles Magnetite Carbon nanotubes Cadmium uptake

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Broken Rules,Broken Lives

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Beijing Review 2024年第36期67卷 26-27页

作者： younes Abouyoub Governance and State-Building Section United Nations Economic Social Commission for Western Asia(UN-ESCWA)

As we observe the 75th anniversary of the adoption of the 1949 Geneva Conventions(hereinafter referred to as the Conventions),which are deemed the most essential treaties in international humanitarian law as they provide a widely accepted and comprehensive framework for protecting individuals during armed conflicts,their relevance is underscored by the ongoing challenges in ensuring the protection of civilians,prisoners of war and the wounded.

关键词： anniversary wound law

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Heart-Net: AMulti-Modal Deep Learning Approach for Diagnosing Cardiovascular Diseases

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Computers, Materials & Continua 2024年第9期80卷 3967-3990页

作者： DeemaMohammed Alsekait Ahmed younes Shdefat AymanNabil Asif Nawaz Muhammad Rizwan Rashid Rana Zohair Ahmed Hanaa Fathi Diaa Salama Abd Elminaam Department of Computer Science and information Technology Applied CollegePrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia College of Engineering and Technology American University of the Middle EastEgaila15453Kuwait Faculty of Computers Science Misr International UniversityCairo11800Egypt University institute of information Technology—PMAS Arid Agriculture University Rawalpjndi46000Pakistan Department of Computer Science International Islamic UniversityIslamabad04436Pakistan Jadara Research Center Jadara UniversityIrbid21110Jordan information System Department Faculty of Computers and Artificial IntelligenceBenha UniversityBanha13511Egypt MEU Research Unit Middle East UniversityAmman11831Jordan

Heart disease remains a leading cause of morbidity and mortality worldwide,highlighting the need for improved diagnostic *** diagnostics face limitations such as reliance on single-modality data and vulnerability to apparatus faults,which can reduce accuracy,especially with poor-quality ***,these methods often require significant time and expertise,making them less accessible in resource-limited *** technologies like artificial intelligence and machine learning offer promising solutions by integrating multi-modality data and enhancing diagnostic precision,ultimately improving patient outcomes and reducing healthcare *** study introduces Heart-Net,a multi-modal deep learning framework designed to enhance heart disease diagnosis by integrating data from Cardiac Magnetic Resonance imaging(MRi)and Electrocardiogram(ECG).Heart-Net uses a 3D U-Net for MRi analysis and a Temporal Convolutional Graph Neural Network(TCGN)for ECG feature extraction,combining these through an attention mechanism to emphasize relevant *** is performed using Optimized *** approach improves early detection,reduces diagnostic errors,and supports personalized risk assessments and continuous health *** proposed approach results show that Heart-Net significantly outperforms traditional single-modality models,achieving accuracies of 92.56%forHeartnetDataset Ⅰ(HNET-DSⅠ),93.45%forHeartnetDataset Ⅱ(HNET-DSⅡ),and 91.89%for Heartnet Dataset Ⅲ(HNET-DSⅢ),mitigating the impact of apparatus faults and image quality *** findings underscore the potential of Heart-Net to revolutionize heart disease diagnostics and improve clinical outcomes.

关键词： Heart diseases magnetic resonance imaging electrocardiogram deep learning classification

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Overall Assessment of Heat Transfer for a Rarefied Flow in a Microchannel with Obstacles Using Lattice Boltzmann Method

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工程与科学中的计算机建模(英文) 2024年第1期138卷 273-299页

作者： Siham Hammid Khatir Naima Omolayo M.ikumapayi Cheikh Kezrane Abdelkrim Liazid Jihad Asad Mokdad Hayawi Rahman Farhan Lafta Rashid Naseer Ali Hussien younes Menni Laboratory of Development in Mechanics and Materials(LDMM) Zian Achour UniversityDjelfaPB 3117Algeria Department of Technology University Center Salhi Ahmed Naama(Ctr.Univ.Naama)P.O.Box 66Naama45000Algeria Department of Mechanical and Mechatronics Engineering Afe Babalola University Ado Ekiti360101Nigeria Departement of Physics Faculty of ScienceAbou Bekr Belkaid UniversityTlemcen13000Algeria Department of Physics Faculty of Applied SciencesPalestine Technical University-KadoorieTulkarmPalestine Aeronautical Technical Engineering Al-Farahidi UniversityBaghdad10011Iraq Mechanical Engineering Department University of KerbalaKarbala56001Iraq information and Communication Technology Research Group Scientific Research CenterAl-Ayen UniversityThi-QarIraq National University of Science and Technology Dhi QarIraq

The objective of this investigation is to assess the effect of obstacles on numerical heat transfer and fluid flow momentum in a rectangular microchannel(MC).Two distinct configurations were studied:one without obstacles and the other with alternating obstacles placed on the upper and lower *** research utilized the thermal lattice Boltzmann method(LBM),which solves the energy and momentum equations of fluids with the BGK approximation,implemented in a Python coding *** jump and slip velocity conditions were utilized in the simulation for the MC and extended to all obstacle *** study aims to analyze the rarefaction effect,with Knudsen numbers(Kn)of 0.012,0.02,and *** outcomes indicate that rarefaction has a significant impact on the velocity and temperature *** presence of nine obstacles led to slower fluid movement inside the microchannel MC,resulting in faster cooling at the *** MCs with obstacles,the rarefaction effect plays a crucial role in decreasing the Nusselt number(Nu)and skin friction coefficient(Cf).Furthermore,the study demonstrated that the obstacles played a crucial role in boosting fluid flow and heat transfer in the *** findings suggest that the examined configurations could have potential applications as cooling technologies in micro-electro-mechanical systems and microdevice applications.

关键词： Microfluid rarefied flow LBM microchannel Knudsen number numerical simulation

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The current status and future development of high-temperature conventional superconductivity

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National Science Review 2024年第7期11卷 18-20页

作者： Mikhail i.Eremets High Pressure Chemistry and Physics Group Max-Planck-Institut für Chemie

This survey highlights key advancements in high-temperature superconductivity in hydrogen-rich materials, emphasizing the robust evidence and reproducibility of superconductivity under challenging experimental conditions of megabar pressures. in the near future, achieving room-temperature superconductivity is highly probable, and the field is expected to transition towards near-ambient-pressure superconductivity.

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