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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

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

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

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

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

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

Complications after pediatric percutaneous endoscopic gastrostomy: comparison of the push and pull technique

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World Journal of Pediatric Surgery 2024年第1期7卷 26-32页

作者： mona Takalo Tarja Iber Reija Autio Topi Luoto Faculty of Medicine and Health Technology Tampere UniversityTampereFinland Department of Pediatric Surgery Tampere University HospitalTampereFinland Faculty of Social Sciences Tampere UniversityTampereFinland

Purpose Various complications are associatedwith percutaneous endoscopic gastrostomy(PEG)procedures in *** push technique is being increasingly used,but its complications are insufficiently *** aimed to assess all complications related to PEG procedures and compare the safety of the pull and push *** Retrospective review of consecutive pediatric patients who underwent PEG between 2002 and *** In total,216 children underwent 217 PEG *** push technique was used in 138(64%)cases,and the pull technique in 79(36%)*** median follow-up time was 6.1(0.1-18.3)*** complication rate was high(57%)and patients experienced complications years after the ***,51%and 67%of patients experienced complications in the push and pull groups,*** rates of minor and major complications were higher in the pull group than in the push group(63%vs 48%,p=0.028;and 11%vs 6%,p=0.140,respectively).Reoperation was also more common in the pull group(17%vs 7%,p=0.020).Conclusions The overall complication rate of PEG procedures is ***,most complications are mild and do not require *** increasing push technique appears to be safer than the traditional pull *** long-term morbidity is related to gastrostomies in children.

关键词： gastro pediatric push

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

Bone marrow microRNA-34a is a good indicator for response to treatment in acute myeloid leukemia

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Oncology Research 2024年第3期32卷 577-584页

作者： mona SA BDELLATEIF NAGLAA MHASSAN MAHMOUD MKAMEL YOMNA MEL-MELIGUI Department of Cancer Biology Medical Biochemistry and Molecular BiologyNational Cancer InstituteCairo UniversityCairo11976Egypt Department of Cinical Pathology National Cancer InstituteCairo UniversityCairo11976Egypt

Background:microRNA 34a(miR 34a)had been reported to have a diagnostic role in acute myeloid leukemia(AML).However,its value in the bone marrow(BM)of AML patients,in addition to its role in response to therapy is still *** current study was designed to assess the diagnostic,prognostic,and predictive significance of miR 34a in the BM of AML ***:The miR.34a was assed in BM aspirate of 82 AML patients in relation to 12 normal control subjects using *** data were assessed for correlation with the relevant dinical critenia,response to therapy,disease-free survival(DFS),and overall survival(OS)***:miR.34a was significantly downregulated in AML patients[0.005(3.3×10^(-6)-1.32)],compared to the control subjects[0.108(3.2× 10^(-4)-1.64),p=0.021].*** relative quantification(RQ)of miR-34a was 0.106(range;0-32.12).The specifaity,sensitivity,and area under the curve(AUC)for the diagnosis of AML were(58.3%,69.5%,0.707,respectively,p=0.021).patients with upregulated miR-34a showed decreased platelets count<34.5 × 10^(9)/L,and achieved early complete remission(CR,p=0.031,p=0.044,respectively).Similarly,patients who were refractory to therapy showed decreased miR 34a levels in comparison to those who achieved CR[0.002(0-0.01)and 0.12(0-32.12),respectively,p=0.002].Therefore,miR 34a could significantly identify patients with CR with a specificity of 75%and sensitivity of 100%at a cut-off of 0.014(AUC=0.927,p=0.005).There was no considerable association between miR-34a expression and survival rates of the induded AML ***:miR-34a could be a beneficial diagnostic biomarker for AML *** addition,it serves as a good indicator for response to therapy,which could possibly identify patients who are refractory to treatment with 100%sensitivity and 75%specificity.

关键词： AML miR 34a microRNA Leukemia