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Open Journal of Geology 2012年第4期2卷 260-270页

作者： Abul Hasnat Masood Ahmad Chayanika Saikia syed mohammad wasim Department of Geology Aligarh Muslim University Aligarh India Directorate General of Hydrocarbons (DGH) Delhi India

The paper embodies results of petrofacies, detrital mineralogy and textural aspects of Bayana Basin sandstones of the Delhi Supergroup. These sandstones consisting of various types of quartz, feldspar, mica, rock fragments and heavy minerals are medium to fine grained and moderately well sorted. These sediments are generally subangular to subrounded with low sphericity. Various factors responsible for modification of the original detrital composition of the sandstones have been critically examined. Distance of transport is one of the factors which control the composition at the time of deposition. The plots of petrofacies in QtnFnL, QmnFnLt, QpnLvnLs and QmnPnK ternary diagrams suggest mainly basement uplift source (Craton interior) in a rifted continental margin basin setting, which has also received sediment input from recycled orogen provenance.

关键词： Petrofacies Evolution Bayana Basin Mesoproterozoic Bharatpur District (India)

Decoding molecular mechanisms:brain aging and Alzheimer's disease

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Neural Regeneration Research 2025年第8期20卷 2279-2299页

作者： Mahnoor Hayat Rafay Ali syed Hammad Qaiser mohammad Uzair Khalid Al-Regaiey Roaa Khallaf Lubna Abdullah Mohammed Albassam Imdad Kaleem Xueyi Wang Ran Wang Mehwish SBhatti Shahid Bashir Atta-ur-Rahman School of Applied Biosciences(ASAB) National University of Sciences and Technology(NUST)IslamabadPakistan Department of Biotechnology Quaid-i-Azam UniversityIslamabadPakistan Department of Biological Sciences Faculty of Basic&Applied SciencesInternational Islamic University Islamabad(IIUI)IslamabadPakistan Department of Bioengineering King Fahd University of Petroleum and MineralsDhahranSaudi Arabia Department of Physiology College of MedicineKing Saud UniversityRiyadhSaudi Arabia Department of Neurology Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Mental Health Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Biosciences Commission on Science and Technology for Sustainable Development in the South(COMSATS University)IslamabadPakistan Department of Psychiatry The First Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceChina Mental Health Institute of Hebei Medical University ShijiazhuangHebei ProvinceChina Department of Neurobiology and Behavior University of CaliforniaIrvineCAUSA Neuroscience Center King Fahad Specialist Hospital DammamDammamSaudi Arabia

The complex morphological,anatomical,physiological,and chemical mechanisms within the aging brain have been the hot topic of research for *** aging process alters the brain structure that affects functions and cognitions,but the worsening of such processes contributes to the pathogenesis of neurodegenerative disorders,such as Alzheimer's *** these observable,mild morphological shifts,significant functional modifications in neurotransmission and neuronal activity critically influence the aging *** these changes is important for maintaining cognitive health,especially given the increasing prevalence of age-related conditions that affect *** review aims to explore the age-induced changes in brain plasticity and molecular processes,differentiating normal aging from the pathogenesis of Alzheimer's disease,thereby providing insights into predicting the risk of dementia,particularly Alzheimer's disease.

关键词： Alzheimer’s disease brain aging cognitive health dementia molecular mechanisms neuronal activity neuroplasticity neurotransmission

Slender reinforced concrete shear walls with high-strength concrete boundary elements

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Frontiers of Structural and Civil Engineering 2023年第1期17卷 138-151页

作者： mohammad syed Pinar OKUMUS Department of Civil Structural and Environmental EngineeringUniversity at BuffaloBuffaloNY 14260USA

Reinforced concrete structural walls are commonly used for resisting lateral forces in buildings. Owing to the advancements in the field of concrete materials over the past few decades, concrete mixes of high compressive strength, commonly referred to as high-strength concrete (HSC), have been developed. In this study, the effects of strategic placement of HSC on the performance of slender walls were examined. The finite-element model of a conventional normal-strength concrete (NSC) prototype wall was validated using test data available in extant studies. HSC was incorporated in the boundary elements of the wall to compare its performance with that of the conventional wall at different axial loads. Potential reductions in the reinforcement area and size of the boundary elements were investigated. The HSC wall exhibited improved strength and stiffness, and thereby, allowed reduction in the longitudinal reinforcement area and size of the boundary elements for the same strength of the conventional wall. Cold joints resulting from dissimilar concrete pours in the web and boundary elements of the HSC wall were modeled and their impact on behavior of the wall was examined.

关键词： slender walls high-strength concrete rectangular and barbell-shaped walls cold joints

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Anomalous node detection in attributed social networks using dual variational autoencoder with generative adversarial networks

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Data Science and Management 2024年第2期7卷 89-98页

作者： wasim Khan Shafiqul Abidin mohammad Arif mohammad Ishrat Mohd Haleem Anwar Ahamed Shaikh Nafees Akhtar Farooqui syed Mohd Faisal Koneru Lakshmaiah Education Foundation VaddeswaramAndhra Pradesh522502India Department of Computer Science Aligarh Muslim UniversityAligarhUttar Pradesh202002India Vellore Institute of Technology VelloreTamil Nadu632014India Era University LucknowUttar Pradesh226003India Sandip Foundation NasikMaharashtra422213India

Many types of real-world information systems, including social media and e-commerce platforms, can be modelled by means of attribute-rich, connected networks. The goal of anomaly detection in artificial intelligence is to identify illustrations that deviate significantly from the main distribution of data or that differ from known cases. Anomalous nodes in node-attributed networks can be identified with greater precision if both graph and node attributes are taken into account. Almost all of the studies in this area focus on supervised techniques for spotting outliers. While supervised algorithms for anomaly detection work well in theory, they cannot be applied to real-world applications owing to a lack of labelled data. Considering the possible data distribution, our model employs a dual variational autoencoder (VAE), while a generative adversarial network (GAN) assures that the model is robust to adversarial training. The dual VAEs are used in another capacity: as a fake-node generator. Adversarial training is used to ensure that our latent codes have a Gaussian or uniform distribution. To provide a fair presentation of the graph, the discriminator instructs the generator to generate latent variables with distributions that are more consistent with the actual distribution of the data. Once the model has been learned, the discriminator is used for anomaly detection via reconstruction loss which has been trained to distinguish between the normal and artificial distributions of data. First, using a dual VAE, our model simultaneously captures cross-modality interactions between topological structure and node characteristics and overcomes the problem of unlabeled anomalies, allowing us to better understand the network sparsity and nonlinearity. Second, the proposed model considers the regularization of the latent codes while solving the issue of unregularized embedding techniques that can quickly lead to unsatisfactory representation. Finally, we use the discriminator

关键词： Anomaly detection deep learning Attributed networks autoencoder Dual variational-autoencoder Generative adversarial networks

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Intelligent Automation & Soft Computing 2023年第6期36卷 3487-3499页

作者： Samah Alhazmi Shahnawaz Khan mohammad Haider syed College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia Country Bahrain Polytechnic Isa Town33349Bahrain

Quality education is one of the primary objectives of any nation-build-ing strategy and is one of the seventeen Sustainable Development Goals(SDGs)by the United *** provide quality education,delivering top-quality con-tent is not ***,understanding the learners’emotions during the learning process is equally ***,most of this research work uses general data accessed from Twitter or other publicly available *** databases are generally not an ideal representation of the actual learning process and the learners’sentiments about the learning *** research has col-lected real data from the learners,mainly undergraduate university students of dif-ferent regions and *** analyzing the emotions of the students,appropriate steps can be suggested to improve the quality of education they *** order to understand the learning emotions,the XLNet technique is *** investigated the transfer learning method to adopt an efficient model for learners’sentiment detection and classification based on real *** experiment on the collected data shows that the proposed approach outperforms aspect enhanced sentiment analysis and topic sentiment analysis in the online learning community.

关键词： Transfer learning AI modeling optimization sentiment analysis deep learning

Physicochemical characteristics of various milk samples available in Pakistan

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2008年第7期9卷 546-551页

作者： mohammad IMRAN Hamayun KHAN syed Shah HASSAN Rasool KHAN Institute of Chemical Sciences University of Peshawar Peshawar-25120 Pakistan Department of Chemistry Kohat University of Science & Technology Kohat-26000 Pakistan

We report physicochemical characteristics of various kinds of liquid milk commercially available in Pakistan in comparison with those of fresh natural milk from animals. Milk samples were collected from local markets at Peshawar, Pakistan, and analyzed for their physical features, including moisture, total solids, specific gravity, conductivity, viscosity and titratable acidity (lactic acid equivalent), and chemical components and macro-minerals, including total protein, casein, lactose, ash and minerals (Na, K and Mg). These items were compared with the physicochemical characteristics of the fresh natural milk samples from buffalo, cow and goat. The results were also compared with reported nutritional quality of milk from various countries and World Health Organization (WHO) standards. We found that all the physical features and chemical components of commercially available milk in Pakistan markets meet WHO's requirements, except for Na, K, Ca and Mg, which are below the standards.

关键词： Milk Physicochemical characteristics Pakistan

Generalized Statistical Convergence and Statistical Core of Double Sequences

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Acta Mathematica Sinica,English Series 2010年第11期26卷 2131-2144页

作者： mohammad MURSALEEN Celal ■AKAN syed Abdul MOHIUDDINE Ekrem SAVA■ Department of Mathematics Aligarh Muslim University Faculty of Education Inn University Department of Mathematics Istanbul Ticaret University

In this paper we extend the notion of A-statistical convergence to the （λ,μ）statistical convergence for double sequences x =（xjk）. We also determine some matrix transformations and establish some core theorems r... 详细信息

关键词： Double sequence statistical convergence matrix transformation core

Synthesis of Mesoporous Lanthanum Phosphate and Its Use as a Novel Sorbent

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Chinese Journal of Chemistry 2006年第8期24卷 1026-1030页

作者： ANBIA, Mansur ROFOUEI, mohammad K. HUSAIN, syed Waqif Department of Applied Chemistry Chemistry Faculty University of Tarbiat Moallem Tehran-15614 Iran

Mesoporous lanthanum phosphate was synthesized by supramolecular self-assembly of cetyltrimethylammonium bromide and lanthanum nitrate following digestion in phosphoric acid. TGA-DTA, XRD and SEM were employed to study the uncalcined and calcined materials. Sorption behavior of Cr（Ⅲ）, Mn（Ⅱ）, Fe（Ⅲ）, Co（Ⅱ）, Ni（Ⅱ）, Cu（Ⅱ）, Zn（Ⅱ）, Cd（Ⅱ）, Ba（Ⅱ）, Hg（Ⅱ） and Pb（Ⅱ） cations was studied on such materials in water, 3 mol·L^-1 ammonia, 0.01 mol·L^-1 potassium ferrocyanide and 0.01 mol·L^-1 potassium ferricyanide solutions.

关键词： mesoporous surfactant lanthanum phosphate metal cation sorption

Preconcentration and Determination of Chromium Species Using Octadecyl Silica Membrane Disks and Flame Atomic Absorption Spectrometry

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Chinese Journal of Chemistry 2007年第12期25卷 1859-1865页

作者： MOGHIMI, Ali SABER-TEHRANI, mohammad WAQIF-HUSAIN, syed mohammadHOSSEINI, Majid Department of Chemistry Islamic Azad University Varamin Campus Varamin Iran Department of Chem stry Faculty of Scence Scence and Research Campus lslamic Azad Universty Tehran Iran Department of Chemistry Islamic Azad University of Shahrood Shahrood Iran

A novel and selective method for the fast determination of trace amounts of chromium species in water samples has been developed. The procedure is based on the selective formation of chromium diethyldithiocarbamate complexes at different pH in the presence of Mn（Ⅱ） as an enhancement agent of chromium signals followed by elution with organic eluents and determination by atomic flame absorption spectrometry. The maximum capacity of the employed disks was found to be （396±3） pg and （376±2） pg for Cr（Ⅲ） and Cr（Ⅵ）, respectively. The detection limit of the proposed method is 49 and 43 ng·L^-1 for Cr（Ⅲ） and Cr（Ⅵ）, respectively. The proposed method was successfully applied for determination of chromium species Cr（Ⅲ） and Cr（Ⅵ） in different water samples.

关键词： solid phase extraction sodium diethyldithiocarbamate flame atomic absorption spectrometry octadecyl silica membrane disk

Abundance and Ecology of Endemic Asterorotalia trispinosa from the Western Bay of Bengal: Implications for its Application as a Paleomonsoon Proxy

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Acta Geologica Sinica(English Edition) 2017年第6期91卷 2268-2282页

作者： Rajeev SARASWAT Manumalenki MANASA Thejasino SUOKHRIE mohammad syed SAALIM Rajiv NIGAM Micropaleontology Laboratory CSIR-National Institute of Oceanography

A total of 97 surface sediment samples were collected from the continental shelf and slope of the western Bay of Bengal to assess the potential application of Asterorotalia trispinosa as a paleomonsoon proxy. The relative abundance of living as well as total （living and dead） A. trispinosa ranges from being absent to a maximum of-31%. The highest abundance ofA. trispinosa is close to the outfall region of the Ganga-Brahmaputra Rivers and decreases away from the river mouths. Contrary to that, A. trispinosa is rare in front of both the Cauvery and Pennar river outfall regions, in the central part of the western Bay of Bengal. The living A. trispinosa abundance is the lowest in between two major river systems, viz. Ganga-Brahmaputra-Mahanadi and Krishna-Godavari. The relative abundance of both the total and living A. trispinosa is strongly positively correlated with ambient seawater temperature, and negatively correlated with %Corg and salinity. Based on the spatial distribution, we conclude that A. trispinosa is stenohaline in nature, rather than euryhaline, and further that the increased relative abundance of A. trispinosa indicates warmer and only marginally hyposaline environment. Even though the ecological preference of A. trispinosa suggests it as a potential paleomonsoon proxy, the restricted distribution implies limited application.

关键词： Asterorotalia trispinosa ecology paleomonsoon riverine influx Bay of Bengal