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Transcriptional reprogramming during human osteoclast differentiation identifies regulators of osteoclast activity

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Bone Research 2024年第1期12卷 180-198页

作者： morten s.Hansen Kaja madsen maria Price Kent søe Yasunori Omata mario m.Zaiss Caroline m.Gorvin morten Frost Alexander Rauch molecular Endocrinology Laboratory(KmEB) Department of EndocrinologyOdense University HospitalDK-5000 Odense CDenmark Department of Clinical Research Faculty of Health SciencesUniversity of Southern DenmarkDK-5000 Odense CDenmark Clinical Cell Biology Pathology Research UnitDepartment of Clinical ResearchUniversity of Southern DenmarkDK-5000 Odense CDenmark Institute of metabolism and systems Research(ImsR)and Centre for Diabetes Endocrinology and Metabolism(CEDAM)University of BirminghamBirmingham B152TTUK Centre for membrane Proteins and Receptors(COmPARE) Universities of Birmingham and NottinghamBirmingham B152TTUK Department of molecular medicine University of Southern DenmarkDK-5000 Odense CDenmark Department of Orthopedic surgery Faculty of MedicineThe University of TokyoTokyo 113-8655Japan Department of Internal medicine 3 Rheumatology and ImmunologyFriedrich-Alexander-University Erlangen-Nürnberg(FAU)and Universitätsklinikum ErlangenD-91054 ErlangenGermany Deutsches Zentrum Immuntherapie(DZI) Friedrich-Alexander-University Erlangen-Nürnberg and Universitätsklinikum ErlangenD-91054 ErlangenGermany steno Diabetes Center Odense Odense University HospitalDK-5000 Odense CDenmark

Enhanced osteoclastogenesis and osteoclast activity contribute to the development of osteoporosis,which is characterized by increased bone resorption and inadequate bone *** novel antiosteoporotic therapeutics are needed,understanding the genetic regulation of human osteoclastogenesis could help identify potential treatment *** study aimed to provide an overview of transcriptional reprogramming during human osteoclast *** were differentiated from CD14+monocytes from eight female *** sequencing during differentiation revealed 8980 differentially expressed genes grouped into eight temporal patterns conserved across *** patterns revealed distinct molecular functions associated with pos.m.nopausal osteoporosis susceptibility genes based on RNA from iliac crest biopsies and bone mineral density *** analyses revealed mutual dependencies between temporal expression patterns and provided insight into subtype-specific transcriptional *** donor-specific expression patterns revealed genes at the monocyte stage,such as filamin B(FLNB)and oxidized low-density lipoprotein receptor 1(OLR1,encoding LOX-1),that are predictive of the resorptive activity of mature *** expression of differentially expressed G-protein coupled receptors was strong during osteoclast differentiation,and these receptors are associated with bone mineral density sNPs,suggesting that they play a pivotal role in osteoclast differentiation and *** regulatory effects of three differentially expressed G-protein coupled receptors were exemplified by in vitro pharmacological modulation of complement 5 A receptor 1(C5AR1),s.m.tostatin receptor 2(ssTR2),and free fatty acid receptor 4(FFAR4/GPR120).Activating C5AR1 enhanced osteoclast formation,while activating ssTR2 decreased the resorptive activity of mature osteoclasts,and activating FFAR4 decreased both the number and resorptive activity of mature *** conclus

关键词： osteoclast programming identif

Cr-induced fusion reactions to synthesize superheavy elements

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Nuclear science and Techniques 2024年第5期35卷 122-130页

作者： s.m.dhu H.C.manjunatha N.sowmya B.m.Rajesh L.seenappa R.s.susheela Department of Physics R V College of EngineeringBangalore 560074India Visvesvaraya Technological University BelagaviKarnataka 590018India Department of Physics Government First Grade CollegeSrinivasapurKarnataka 563135India Department of Physics Government First Grade CollegeDevanahallyKarnataka 562110India Department of Physics Government First Grade CollegeMulbagalKarnataka 563131India Department of Physics Government First Grade collegeNanjangudOoty RoadMysore 571301India

We investigated ^(50,52-54)Cr-induced fusion reactions for the synthesis of the superheavy element in the 104≤Z≤122 *** cross sections produced in this investigation using ^(54)Cr projectiles were compared with those obtained in prior *** estimated cross sections from this analysis are consistent with the findings of prior *** the current study,the predicted cross section was found to be 42fb at 236 meV for ^(53)Cr+^(243)Am,23.2 fb at 236 meV for ^(54)Cr+^(247)Cm,95.6 fb at 240 meV for ^(53)Cr+248Bk,and 1.33 fb at 242 meV for ^(53)Cr+***,these projected cross sections with excitation energy and beam energy will be useful in future Cr-induced fusion reaction investigations.

关键词： Fusion cross sections Compound nucleus formation probability survival probability Evaporation residue cross sections

magnesium oxide(mgO)nanoadsorbents in wastewater treatment:A comprehensive review

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Journal of magnesium and Alloys 2024年第5期12卷 1709-1773页

作者： H.C.s.Perera V.Gurunanthanan Anoop singh m.m.m.G.P.G.mantilaka G.Das sandeep Arya Department of Physics Khalifa UniversityAbu Dhabi12788United Arab Emirates Postgraduate Institute of science University of PeradeniyaPeradeniyaSri Lanka Department of Humanities and sciences Guru Nanak Institutions Technical CampusIbrahimpatnamHyderabad501506India Centre for Global Health Research Saveetha Medical College and HospitalsSaveetha Institute of Medical and Technical SciencesChennai602105Tamil NaduIndia Department of Physics University of JammuJammu and Kashmir180006India

Wastewater contamination by heavy metals and synthetic dyes presents a significant environmental challenge,necessitating effective and sustainable separation *** review article provides a detailed examination of magnesium oxide(mgO)nanoparticles as an innovative nanoadsorbent for wastewater treatment,with a specific focus on heavy metal and dye *** review comprehensively explores various aspects of mgO nanoparticles,including their structural characteristics and synthesis *** article delves into the morphology and crystallographic arrangement of mgO nanoparticles,offering insights into their structural *** the complexity of adsorption processes,the review identifies and analyzes parameters influencing the adsorption efficiency of mgO nanoparticles,such as temperature,pH,contact time,initial concentration,and co-existing *** interplay between these parameters and the adsorption capability of mgO nanoparticles emphasizes the importance of optimizing operational ***,the review assesses various synthesis.m.thods for mgO nanoparticles,including sol-gel,hydrothermal,precipitation,green synthesis,solvothermal,and template-assisted *** discusses the advantages,limitations,and resulting nanoparticle characteristics of each method,enabling readers to grasp the implications of synthesis processes on adsorption *** comprehensive review consolidates current insights into the effectiveness of mgO nanoparticles as a potent nanoadsorbent for removing heavy metals and dyes from wastewater covering a wide spectrum of aspects related to mgO ***,there is a need to investigate the use of mgO in the treatment of actual wastewater or river water,in order to leverage its cost-effectiveness and high efficiency for practical water treatment applications in real-time.

关键词： mgO nanoparticles Nanoadsorbent Wastewater treatment Heavy metals Dye separation Adsorption synthesis.m.thods

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Genes & Diseases 2024年第3期11卷 66-68页

作者： Aswathi N Jincy m.Jose sreelata B.Nair Prabha s.N Pappachan s Department of medical Genetics Lifeline Super Specialty HospitalPathanamthittaKerala 691523India Lifeline super specialty Hospital PathanamthittaKerala 691523India

Alagille syndrome(ALGs;OmIm#118450)is a highlyvariable,multi-systemic,autos.m.l dominant disorder,caused by mutations in the Jagged Canonical Notch Ligand 1(JAG1)gene(20p12.2)or in the Neurogenic locus notch homolog protein 2(NOTCH2)gene(1p13).^(1)It primarily affects the liver,heart,eyes,face,kidney,skin,vertebrae,and skeleton.^(1,2)The JAG1 gene has 26 exons and about 90%of the ALGs cases result from pathogenic variants in the JAG1 and around 7%of cases have deletions in chromos.m. 20 that include this gene.

关键词： JAG1 cases Notch

Deep Learning for Depression Detection Using Twitter Data

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Intelligent Automation & soft Computing 2023年第5期36卷 1301-1313页

作者： doaa s.m. khafaga maheshwari Auvdaiappan KDeepa mohamed Abouhawwash Faten Khalid Karim Department of Computer sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computational Intelligence SRM Institute of Science and TechnologyKattankulathurChennai603203India Department of Computer science and Engineering M.Kumarasamy College of EngineeringKarur639113India Department of mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational mathematics Scienceand Engineering(CMSE)College of EngineeringMichigan State UniversityEast LansingMI48824USA

Today social media became a communication line among people to share their happiness,sadness,and anger with their *** is necessary to know people’s emotions are very important to identify depressed people from their *** depression detection helps to save people’s lives and other dangerous.m.ntal *** are many intelligent algorithms for predicting depression with high accuracy,but they lack the deﬁnition of such *** machine learning methods help to identify depressed *** the accuracy of existing methods was not *** overcome this issue,the deep learning method is used in the proposed method for depression *** this paper,a novel Deep Learning multi-Aspect Depression Detection with Hierarchical Atten-tion Network(mDHAN)is used for classifying the depression ***,the Twitter data was preprocessed by tokenization,punctuation mark removal,stop word removal,stemming,and *** Adaptive Particle and grey Wolf optimization methods are used for feature *** mDHAN classiﬁes the Twitter data and predicts the depressed and non-depressed ***,the proposed method is compared with existing methods such as Convolutional Neur-al Network(CNN),support Vector machine(s.m.,minimum Description Length(mDL),and *** suggested mDH-PWO architecture gains 99.86%accuracy,more signiﬁcant than frequency-based deep learning models,with a lower false-positive *** experimental result shows that the proposed method achieves better accuracy,precision,recall,and *** also mini-mizes the execution time.

关键词： Depression detection twitter data tweets deep learning swarm intelligence multi-aspect depression detection prediction

magneto-Photo-Thermoelastic Excitation Rotating s.m.conductor medium Based on moisture Diffusivity

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Computer modeling in Engineering & sciences 2024年第10期141卷 107-126页

作者： Khaled Lotfy A.m.s.m.hdy Alaa A.El-Bary E.s.Elidy Department of mathematics Faculty of ScienceZagazig UniversityZagazig44519Egypt Department of mathematics Faculty of ScienceTaibah UniversityMadinah42353Saudi Arabia Department of mathematics and statistics College of ScienceTaif UniversityTaif11099Saudi Arabia Arab Academy for science Technology and Maritime TransportAlexandria1029Egypt

In this research,we focus on the free-surface deformation of a one-dimensional elastic s.m.conductor medium as a function of magnetic field and moisture *** problem aims to analyze the interconnection between plasma and moisture diffusivity processes,as well as thermo-elastic *** study examines the photothermoelasticity transport process while considering the impact of moisture *** employing Laplace’s transformation technique,we derive the governing equations of the photo-thermo-elastic *** equations include the equations for carrier density,elastic waves.m.isture transport,heat conduction,and constitutive *** stresses,thermal conditions,and plasma boundary conditions are used to calculate the fundamental physical parameters in the Laplace *** employing numerical techniques,the Laplace transform is inverted to get complete time-domain solutions for the primary physical domains under ***,thermoelastic,and thermoelectric characteristics are employed in conjunction with a graphical analysis that takes into consideration the effects of applied forces on displacement,moisture concentration,carrier density,stress due to forces,and temperature distribution.

关键词： moisture diffusivity s.m.conductor photothermoelastic rotation thermomechanical waves laplace transform

Twinning aspects and their efficient roles in wrought mg alloys:A comprehensive review

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Journal of magnesium and Alloys 2024年第6期12卷 2201-2230页

作者： s.s.A.shah manping Liu Azim Khan Farooq Ahmad m.R.Abdullah Xingquan Zhang shiwei Xu Zhen Peng school of materials science and Engineering Jiangsu UniversityZhenjiang 212013China school of mechanical Engineering Anhui University of TechnologyMáanshan 243002China College of mechanical and Vehicle Engineering Hunan UniversityChangsha 410082China

Twinning is widely recognized as an effective and cost-efficient method for controlling the microstructure and properties of wrought magnesium(mg)***,twins play a crucial role in initiating dynamic recrystallization(DRX),while twin regions experience rapid recrystallization during static recrystallization(sRX).The activation of twinning can lead to changes in lattice orientation,significantly impacting the final texture in mg *** active roles of twinning are influenced by various factors during the activation process,and the mobility of twin boundaries(TB)can be amplified by stress effects,dislocation interactions,and thermal ***,annealing treatments that involve proper segregation or precipitation on TBs serve to stabilize them,restraining their *** such as segregation may also alter the twinning propensity in magnesium-rare earth(mg-RE)***{10–11}contraction twins(CT)and{10–11}-{10–12}double twins(DT)can promote dynamic recrystallization(DRX),they also pose a risk as potential sources of voids and ***,understanding the nucleation and growth mechanisms of twinning is crucial,and these aspects are briefly reviewed in this *** the factors.m.ntioned above,this article s.m.arizes the recent research progress in this field,shedding light on advancements in recent eras.

关键词： mg alloys Twinning Recrystallization Texture mechanical properties

spoofing Face Detection Using Novel Edge-Net Autoencoder for security

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Intelligent Automation & soft Computing 2023年第3期35卷 2773-2787页

作者： Amal H.Alharbi s.Karthick K.Venkatachalam mohamed Abouhawwash doaa s.m. khafaga Department of Computer sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh 11671Saudi Arabia Department of Electrical Electronics and Communication Engineering GITAM School of TechnologyGITAM Deemed to be UniversityBengaluru CampusKarnataka560065India Department of Computer science and Engineering CHRIST(Deemed to be University)Bangalore560074India Department of mathematics Faculty of ScienceMansoura UniversityMansoura 35516Egypt Department of Computational mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

Recent security applications in mobile technologies and computer sys-tems use face recognition for high-end *** numerous security tech-niques,face recognition is considered a high-security *** fuse and carry out face identiﬁcation as an access authority into these ***,face identiﬁcation authentication is sensitive to attacks with a 2-D photo image or captured video to access the system as an authorized *** the existing spooﬁng detection algorithm,there was s.m. loss in the recreation of *** research proposes an unobtrusive technique to detect face spooﬁng attacks that apply a single frame of the sequenced set of frames to overcome the above-said *** research offers a novel Edge-Net autoencoder to select convoluted and dominant features of the input diffused ***,this pro-posed method is tested with the Cross-ethnicity Face Anti-spooﬁng(CAsIA),Fetal alcohol spectrum disorders(FAsD)*** database has three models of attacks:distorted photographs in printed form,photographs with removed eyes portion,and video *** images are taken with three different quality cameras:low,average,and high-quality real and spoofed *** extensive experimental study was performed with CAsIA-FAsD,3 Diagnostic machine Aid-Digital(DmAD)dataset that proved higher results when compared to existing algorithms.

关键词： Image processing edge detection edge net auto-encoder face authentication digital security

An Integral method for solving Dynamic Equations with Fluid–solid Coupling

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Acta mechanica solida sinica 2024年第1期37卷 99-108页

作者： Xin Zhang Jie Liu Pu Xue shuowen Yan Yahao Xu m.s.Zahran school of Aeronautics Northwestern Polytechnical UniversityXi'an 710072China school of mechatronical Engineering Beijing Institute of TechnologyBeijing 100081China Department of Civil Engineering Military Technical CollegeCairo 11435Egypt

In this work,a new methodology is presented to mainly solve the fluid–solid interaction(FsI)*** methodology combines the advantages of the Newmark precise integral method(NPIm)and the dual neural network(DNN)*** NPIm is employed to modify the exponential matrix and loading vector based on the DNN integral *** involves incorporating the basic ass.m.tion of the Newmark-βmethod into the dynamic equation and eliminating the acceleration term from the dynamic equilibrium *** a result,the equation is reduced to a first-order linear equation ***,the PIm is applied to integrate the system step by step within the *** DNN method is adopted to solve the inhomogeneous term through fitting the integrand and the original function with a pair of neural networks,and the integral term is solved using the Newton–Leibniz *** examples demonstrate that the proposed methodology significantly improves computing efficiency and provides sufficient precision compared to the DNN *** is particularly evident when analyzing large-scale structures under blast loading conditions.

关键词： Newmark precise integral method(NPIm) Dual neural networks(DNN) Fluid-solid interaction(FsI) Dynamic time-history analysis Blast loading