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Microfacial Study, Fossil Assemblages and Depositional Environment of Wadi As Sir Limestone Formation, Jordan

Open Journal of Geology 2020年第5期10卷 579-595页

作者： mona al-hawamdeh Habes Mohammad al-Mashakbeh Department of Applied of Earth and Environmental Sciences Al al-Bayt University Mafraq Jordan

This paper studies the microfacies, fossil contents, and the depositional environment of Wadi As Sir Limestone Formation exposed in the al-tayyar area Zarqa Governorate, Northeastern Jordan. A total number of 35 samples were collected from a 30 m thick quarry section and used to prepare 35 thin sections. Some samples were washed over a 63 μm sieve, oven-dried at 50°C, sieved, and picked for benthic foraminifera analysis. Microscope analysis used to describe the microfacies and fossil contents. Four microfacies types and four lithological units are distinguished and described from the bottom to the top;the chalky unit (Unit-1) composed of bioclastic wackestone and biomicrite microfacies, and the dolomitic unit (Unit-2) immediately is existed above unit 1 composed dominantly of bioclastic mudstone and biomicrite microfacies. Marly limestone (Unit-3) is the following upwardly unit composed of bioclastic packestone and biosparite Microfacies, and the uppermost unit is limestone (Unit-4) consisted of bioclastic grainstone and biosparite microfacies. The fossil contents that were recognized in the studied thin sections and samples;bivalves, gastropods, pelecypods, cephalopods echinoderms, radiolarian, stromatoporoids, bone fragments, Saccaminopsis sp., Cibicidoides sp., Cibicides sp., Cyclammina sp., calcareous algae (Koninckopora and gymnocodiaceans), worm tubes, serpulids, and plentiful ostracods. The current study indicates that the Wadi As Sir Limestone Formation has deposited in a restricted circulation shallow shelf with low energy conditions most probably lagoonal environment.

关键词： Microfacies Fossils Depositional Environment Wadi as Sir Limestone Formation Jordan

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Predicting Energy Consumption Using Stacked LSTM Snapshot Ensemble

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Big Data Mining and Analytics 2024年第2期7卷 247-270页

作者： mona Ahamd alghamdi Abdullah S.A.L-Malaise al-Ghamdi Mahmoud Ragab Information Systems Department Faculty of Computing and Information Technology(FCIT)King Abdulaziz University(KAU)Jeddah 21589Kingdom of Saudi Arabia Information Systems Department FCITKAUJeddah 21589Kingdom of Saudi Arabiaand also with School of EngineeringComputing and DesignDar Al-Hekma UniversityJeddah 22246Kingdom of Saudi Arabia Information Technology Department FCITKAUJeddah 21589Kingdom of Saudi Arabiaand also with Mathematics DepartmentFaculty of ScienceAl-Azhar UniversityNaser City 11884Egypt

The ability to make accurate energy predictions while considering all related energy factors allows production plants,regulatory bodies,and governments to meet energy demand and assess the effects of energy-saving *** energy consumption falls within normal parameters,it will be possible to use the developed model to predict energy consumption and develop improvements and mitigating measures for energy *** objective of this model is to accurately predict energy consumption without data limitations and provide results that are easily *** proposed model is an implementation of the stacked Long Short-Term Memory(LSTM)snapshot ensemble combined with the Fast Fourier Transform(FFT)and *** and Berard’s Individual Household Electric-Power Consumption(IHEPC)dataset incorporated with weather data are used to analyse the model’s accuracy with predicting energy *** model is trained,and the results measured using Root Mean Square Error(RMSE),Mean Absolute Error(MAE),Mean Absolute Percentage Error(MAPE),and coefficient of determination(R^(2))metrics are 0.020,0.013,0.017,and 0.999,*** stacked LSTM snapshot ensemble performs better than the compared models based on prediction accuracy and minimized *** results of this study show that prediction accuracy is high,and the model’s stability is high as *** model shows that high levels of accuracy prove accurate predictive ability,and together with high levels of stability,the model has good interpretability,which is not typically accounted for in ***,this study shows that it can be inferred.

关键词： energy consumption prediction Artificial Intelligence(AI) Deep Learning(DL) snapshot ensemble

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Correlations between serum kidney injury molecule-1,cystatin C and immunosuppressants:A cross-sectional study of renal transplant patients in Bahrain

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Journal of Biomedical Research 2024年第3期38卷 269-277页

作者： Kannan Sridharan Shamik Shah mona al Hammad Fatima ali Mohammed Sindhan Veeramuthu mona Abdulla Taher Mustafa Mohamed Hammad Lamees Jawad Eman Farid Department of Pharmacology and Therapeutics College of Medicine and Medical SciencesArabian Gulf UniversityManamaKingdom of Bahrain Department of Nephrology Salmaniya Medical ComplexManamaKingdom of Bahrain Department of Internal Medicine College of Medicine and Medical SciencesArabian Gulf UniversityManamaKingdom of Bahrain Salmaniya Medical Complex ManamaKingdom of Bahrain Department of Laboratory Medicine Salmaniya Medical ComplexManamaKingdom of Bahrain Department of Microbiology Immunologyand Infectious DiseasesCollege of Medicine and Medical SciencesArabian Gulf UniversityManamaKingdom of Bahrain

Renal transplant patients receive several immunosuppressive drug regimens that are potentially nephrotoxic for *** creatinine is the standard for monitoring kidney function;however,cystatin C(Cys C)and kidney injury molecule-1(KIM-1)have been found to indicate kidney injury earlier than serum creatinine and provide a better reflection of kidney ***,we assessed Cys C and KIM-1 serum levels in renal transplant patients receiving mycophenolate mofetil,tacrolimus,sirolimus,everolimus,or cyclosporine to evaluate kidney *** used both the Chronic Kidney Disease Epidemiology Collaboration(CKD-EPI)2021 equation,which is based on creatinine and combined creatinine with Cys C,and the CKD-EPI 2012 equation,which is based on Cys C alone,to estimate glomerular filtration rate(GFR).Then,we assessed the association between serum KIM-1 and GFRal serum *** estimated GFRs based on creatinine were significantly higher than those based on the other equations,while a significant positive correlation was observed among all *** KIM-1 levels were negatively correlated with the estimated GFRs by the CKD-EPI Cys C and the combined creatinine with Cys C equations.A serum KIM-1 level above 0.71 ng/mL is likely to indicate GFRal transplant ***,serum KIM-1 may be used to monitor renal function when using potentially nephrotoxic drugs in renal transplants.

关键词： KIM-1 cystatin C mycophenolate mofetil tacrolimus everolimus sirolimus cyclosporine

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Enteric neuropathy in diabetes:Implications for gastrointestinal function

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World Journal of Gastroenterology 2024年第22期30卷 2852-2865页

作者： mona Mohamed Ibrahim Abdalla Department of Human Biology School of MedicineInternational Medical UniversityBukit Jalil 57000Kuala LumpurMalaysia

Diabetes,commonly known for its metabolic effects,also critically affects the enteric nervous system(ENS),which is essential in regulating gastrointestinal(GI)motility,secretion,and *** development of diabetes-induced enteric neuropathy can lead to various GI dysfunctions,such as gastroparesis and irregular bowel habits,primarily due to disruptions in the function of neuronal and glial cells within the ENS,as well as oxidative stress and *** editorial explores the pathophysiological mechanisms underlying the development of enteric neuropathy in diabetic ***,it discusses the latest advances in diagnostic approaches,emphasizing the need for early detection and intervention to mitigate GI complications in diabetic *** editorial also reviews current and emerging therapeutic strategies,focusing on pharmacological treatments,dietary management,and potential neuromodulatory ***,this editorial highlights the necessity of a multidisciplinary approach in managing enteric neuropathy in diabetes,aiming to enhance patient quality of life and address a frequently overlooked complication of this widespread disease.

关键词： Diabetic neuropathy Gastrointestinal Insulin resistance Diabetes Enteric nervous system Enteric neuropathy

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Reconstruction of incidence reporting rate for SARS-CoV-2 Delta variant of COVID-19 pandemic in the US

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Infectious Disease Modelling 2024年第1期9卷 70-83页

作者： alexandra Smirnova mona Baroonian Department of Mathematics&Statistics Georgia State UniversityAtlantaUSA

In recent years,advanced regularization techniques have emerged as a powerful tool aimed at stable estimation of infectious disease parameters that are crucial for future projections,prevention,and *** other system parameters,i.e.,incubation and recovery rates,the case reporting rate,Ψ,and the time-dependent effective reproduction number,R_(e)t,are directly influenced by a large number of factors making it impossible to pre-estimate these parameters in any meaningful *** this study,we propose a novel iteratively-regularized trust-region optimization algorithm,combined with SuSvIuIvRD compartmental model,for stable reconstruction ofΨand R_(e)t from reported epidemic data on vaccination percentages,incidence cases,and daily *** innovative regularization procedure exploits(and takes full advantage of)a unique structure of the Jacobian and Hessian approximation for the nonlinear observation *** proposed inversion method is thoroughly tested with synthetic and real SARS-CoV-2 Delta variant data for different regions in the United States of America from July 9,2021,to November 25,*** study shows that case reporting rate during the Delta wave of COVID-19 pandemic in the US is between 12%and 37%,with most states being in the range from 15%to 25%.This confirms earlier accounts on considerable under-reporting of COVID-19 cases due to the impact of”silent spreaders”and the limitations of testing.

关键词： Epidemiology Incidence reporting rate Compartmental model Transmission dynamic Regularization algorithm

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Insulin resistance as the molecular link between diabetes and alzheimer's disease

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World Journal of Diabetes 2024年第7期15卷 1430-1447页

作者： mona Mohamed Ibrahim Abdalla Department of Human Biology School of MedicineInternational Medical UniversityBukit Jalil 57000Kuala LumpurMalaysia

Diabetes mellitus(DM)and alzheimer's disease(AD)are two major health concerns that have seen a rising prevalence *** studies have indicated a possible link between DM and an increased risk of developing ***,while primarily known for its role in regulating blood sugar,also plays a vital role in protecting brain *** resistance(IR),especially prevalent in type 2 diabetes,is believed to play a significant role in AD's *** insulin signalling becomes dysfunctional,it can negatively affect various brain functions,making individuals more susceptible to AD's defining features,such as the buildup of beta-amyloid plaques and tau protein *** research suggests that addressing insulin-related issues might help reduce or even reverse the brain changes linked to *** review aims to explore the relationship between DM and AD,with a focus on the role of *** also explores the molecular mechanisms by which IR might lead to brain changes and assesses current treatments that target *** IR's role in the connection between DM and AD offers new possibilities for treatments and highlights the importance of continued research in this interdisciplinary field.

关键词： alzheimer's disease Insulin resistance Obesity Dementia Diabetes Metabolic syndrome

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Non-coding RNAs in exercise immunology:A systematic review

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Journal of Sport and Health Science 2024年第3期13卷 311-338,I0002页

作者： mona Kotewitsch Melina Heimer Boris Schmitz Frank C.Mooren Department of Rehabilitation Sciences Faculty of HealthUniversity of Witten/HerdeckeWitten 58455Germany DRV Clinic Konigsfeld Center for Medical RehabilitationEnnepetal 58256Germany

Regular physical exercise has been recognized as a potent modulator of immune function,with its effects including enhanced immune surveillance,reduced inflammation,and improved overall *** strong evidence exists that physical exercise affects the specific expression and activity of non-coding RNAs(ncRNAs)also involved in immune system regulation,heterogeneity in individual study designs and analyzed exercise protocols exists,and a condensed list of functional,exercise-dependent ncRNAs with known targets in the immune system is missing from the literature.A systematic review and qualitative analysis was used to identify and categorize ncRNAs participating in immune modulation by physical *** combined approaches were used:(a)a systematic literature search for“ncRNA and exercise immunology”,(b)and a database search for microRNAs(miRNAs)(miRTarBase and DIANA-Tarbase v8)aligned with known target genes in the immune system based on the Reactome database,combined with a systematic literature search for“ncRNA and exercise”.Literature searches were based on PubMed,Web of Science,and SPORTDiscus;and miRNA databases were filtered for targets validated by in vitro experimental *** were eligible if they reported on exercise-based interventions in healthy *** duplicate removal,95 studies were included reporting on 164 miRNAs,which were used for the qualitative *** studies reporting on long-noncoding RNAs(lncRNAs)or circular RNAs were also *** were analyzed using ordering tables that included exercise modality(endurance/resistance exercise),acute or chronic interventions,as well as the consistency in reported change between *** criteria were defined as“validated”with 100%of≥3 independent studies showing identical direction of regulation,“plausible”(≥80%),or“suggestive”(≥70%).For resistance exercise,upregulation of miR-206 was validated while downregulation of miR-133a appeared *** endurance exer

关键词： Immune system Inflammation MicroRNA ncRNA Physical exercise

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Advancing diabetes management: Exploring pancreatic beta-cell restoration’s potential and challenges

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World Journal of Gastroenterology 2024年第40期30卷 4339-4353页

作者： mona Mohamed Ibrahim Abdalla Department of Human Biology School of MedicineInternational Medical UniversityBukit Jalil 57000Kuala LumpurMalaysia

Diabetes mellitus,characterized by chronic hyperglycemia due to insulin deficiency or resistance,poses a significant global health *** to its pathogenesis is the dysfunction or loss of pancreatic beta cells,which are res-ponsible for insulin *** advances in beta-cell regeneration research offer promising strategies for diabetes treatment,aiming to restore endogenous insulin production and achieve glycemic *** review explores the physiological basis of beta-cell function,recent scientific advan-cements,and the challenges in translating these findings into clinical *** highlights key developments in stem cell therapy,gene editing technologies,and the identification of novel regenerative *** the potential,the field faces hurdles such as ensuring the safety and long-term efficacy of regen-erative therapies,ethical concerns around stem cell use,and the complexity of beta-cell differentiation and *** review highlights the importance of interdisciplinary collaboration,increased funding,the need for patient-centered approaches and the integration of new treatments into comprehensive care strategies to overcome these *** continued research and collab-oration,beta-cell regeneration holds the potential to revolutionize diabetes care,turning a chronic condition into a manageable or even curable disease.

关键词： Diabetes therapies Beta cell regeneration Regenerative medicine Stem cell therapy Gene editing Molecular therapeutics

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all-optical complex field imaging using diffractive processors

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Light(Science & Applications) 2024年第6期13卷 1122-1139页

作者： Jingxi Li Yuhang Li Tianyi Gan Che-Yung Shen mona Jarrahi Aydogan Ozcan Electrical and Computer Engineering Department University of CaliforniaLos AngelesCA90095USA Bioengineering Department University of CaliforniaLos AngelesCA90095USA California NanoSystems Institute(CNSI) University of CaliforniaLos AngelesCA90095USA

Complex field imaging,which captures both the amplitude and phase information of input optical fields or objects,can offer rich structural insights into samples,such as their absorption and refractive index ***,conventional image sensors are intensity-based and inherently lack the capability to directly measure the phase distribution of a *** limitation can be overcome using interferometric or holographic methods,often supplemented by iterative phase retrieval algorithms,leading to a considerable increase in hardware complexity and computational ***,we present a complex field imager design that enables snapshot imaging of both the amplitude and quantitative phase information of input fields using an intensity-based sensor array without any digital *** design utilizes successive deep learning-optimized diffractive surfaces that are structured to collectively modulate the input complex field,forming two independent imaging channels that perform amplitude-to-amplitude and phase-to-intensity transformations between the input and output planes within a compact optical design,axially spanning~100 *** intensity distributions of the output fields at these two channels on the sensor plane directly correspond to the amplitude and quantitative phase profiles of the input complex field,eliminating the need for any digital image reconstruction *** experimentally validated the efficacy of our complex field diffractive imager designs through 3D-printed prototypes operating at the terahertz spectrum,with the output amplitude and phase channel images closely aligning with our numerical *** envision that this complex field imager will have various applications in security,biomedical imaging,sensing and material science,among others.

关键词： field. utilize collective

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Pyramid diffractive optical networks for unidirectional image magnification and demagnification

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Light(Science & Applications) 2024年第9期13卷 1841-1864页

作者： Bijie Bai Xilin Yang Tianyi Gan Jingxi Li Deniz Mengu mona Jarrahi Aydogan Ozcan Electrical and Computer Engineering Department University of CaliforniaLos AngelesCAUSA Bioengineering Department University of CaliforniaLos AngelesCAUSA California NanoSystems Institute(CNSI) University of CaliforniaLos AngelesCAUSA

Diffractive deep neural networks(D2NNs)are composed of successive transmissive layers optimized using supervised deep learning to all-optically implement various computational tasks between an input and output ***,we present a pyramid-structured diffractive optical network design(which we term P-D2NN),optimized specifically for unidirectional image magnification and *** this design,the diffractive layers are pyramidally scaled in alignment with the direction of the image magnification or *** P-D2NN design creates high-fidelity magnified or demagnified images in only one direction,while inhibiting the image formation in the opposite direction—achieving the desired unidirectional imaging operation using a much smaller number of diffractive degrees of freedom within the optical processor ***,the P-D2NN design maintains its unidirectional image magnification/demagnification functionality across a large band of illumination wavelengths despite being trained with a single *** also designed a wavelength-multiplexed P-D2NN,where a unidirectional magnifier and a unidirectional demagnifier operate simultaneously in opposite directions,at two distinct illumination ***,we demonstrate that by cascading multiple unidirectional P-D2NN modules,we can achieve higher magnification *** efficacy of the P-D2NN architecture was also validated experimentally using terahertz illumination,successfully matching our numerical simulations.P-D2NN offers a physics-inspired strategy for designing task-specific visual processors.

关键词： unidirectional illumination opposite

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