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spastin and alsin protein interactome analyses begin to reveal key canonical pathways and suggest novel druggable targets

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Neural regeneration research 2025年第3期20卷 725-739页

作者： Benjamin r.Helmold Angela Ahrens Zachary Fitzgerald P.Hande Ozdinler Department of Neurology Feinberg School of MedicineNorthwestern UniversityChicagoILUSA Center for Molecular Innovation and Drug Discovery Center for Developmental TherapeuticsChemistry of Life Processes InstituteNorthwestern UniversityEvanstonILUSA Mesulam Center for Cognitive Neurology and Alzheimer’s Disease Feinberg School of MedicineNorthwestern UniversityChicagoILUSA Feinberg school of Medicine Les Turner ALS Center at Northwestern UniversityChicagoILUSA

Developing effective and long-term treatment strategies for rare and complex neurodegenerative diseases is challenging. One of the major roadblocks is the extensive heterogeneity among patients. This hinders understanding the underlying disease-causing mechanisms and building solutions that have implications for a broad spectrum of patients. One potential solution is to develop personalized medicine approaches based on strategies that target the most prevalent cellular events that are perturbed in patients. Especially in patients with a known genetic mutation, it may be possible to understand how these mutations contribute to problems that lead to neurodegeneration. Protein–protein interaction analyses offer great advantages for revealing how proteins interact, which cellular events are primarily involved in these interactions, and how they become affected when key genes are mutated in patients. This line of investigation also suggests novel druggable targets for patients with different mutations. Here, we focus on alsin and spastin, two proteins that are identified as “causative” for amyotrophic lateral sclerosis and hereditary spastic paraplegia, respectively, when mutated. Our review analyzes the protein interactome for alsin and spastin, the canonical pathways that are primarily important for each protein domain, as well as compounds that are either Food and Drug Administration–approved or are in active clinical trials concerning the affected cellular pathways. This line of research begins to pave the way for personalized medicine approaches that are desperately needed for rare neurodegenerative diseases that are complex and heterogeneous.

关键词： ALs2 alsin amyotrophic lateral sclerosis hereditary spastic paraplegia neurodegenerative diseases personalized medicine precision medicine protein interactome protein-protein interactions sPAsT spastin

Unveiling the complexities of microbiologically induced corrosion:mechanisms,detection techniques,and mitigation strategies

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Frontiers of Environmental science & Engineering 2024年第10期18卷 15-48页

作者： mahmoud A.Ahmed safwat A.mahmoud Ashraf A.Mohamed Veolia Water Technologies Cairo 11835Egypt Chemistry department Faculty of ScienceAin Shams UniversityCairo 11566Egypt Physics Department Faculty of ScienceNorthern Border UniversityArar 13211Saudi Arabia

Microbiologically induced corrosion(MIC)is a complex and destructive phenomenon that occurs in various sectors,involving the interaction between microorganisms and metal surfaces,resulting in accelerated corrosion *** review article provides a comprehensive analysis of MIC,encompassing microbial species involved,their metabolic activities,and influential environmental factors driving the corrosion *** mechanisms of MIC,both in the presence and absence of oxygen,are explored,along with the diverse effects of microbes on different types of corrosion and their economic *** and monitoring techniques,including traditional and advanced methods such as microbiological and electrochemical methods,are ***,it examines preventive and control measures,such as the use of biocides and their mechanisms of *** to enhance the performance of these control measures and the effectiveness of antimicrobial agents during disinfection processes,including surfactants and chelators,are ***,the review highlights enzymatic remediation as a sustainable alternative approach,providing detailed *** challenges in mitigating MIC and potential future developments and collaborative opportunities are also *** systematic review is a valuable resource for researchers,industry professionals,and policymakers seeking a comprehensive understanding of the complex phenomenon of MIC and effective strategies for its management.

关键词： Metal failure Biofilm formation Enzymatic remediation Antimicrobial agents Bio-corrosion mechanisms

Machine learning in neurological disorders:A multivariate LsTM and AdaBoost approach to Alzheimer's disease time series analysis

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Health Care Science

Health Care science 2024年第1期3卷 41-52页

作者： Muhammad Irfan seyed shahrestani mahmoud Elkhodr school of Computer Data and Mathematical SciencesWestern Sydney UniversitySydneyAustralia school of Engineering and Technology Central Queensland UniversitySydneyAustralia

Introduction:Alzheimer's disease(AD)is a progressive brain disorder that impairs cognitive functions,behavior,and *** detection is crucial as it can slow down the progression of ***,early diagnosis and monitoring of AD's advancement pose significant challenges due to the necessity for complex cognitive assessments and medical ***:This study introduces a data acquisition technique and a preprocessing pipeline,combined with multivariate long short-term memory(M-LsTM)and AdaBoost *** models utilize biomarkers from cognitive assessments and neuroimaging scans to detect the progression of AD in patients,using The AD Prediction of Longitudinal Evolution challenge cohort from the Alzheimer's Disease Neuroimaging Initiative ***:The methodology proposed in this study significantly improved performance *** testing accuracy reached 80%with the AdaBoost model,while the M-LsTM model achieved an accuracy of 82%.This represents a 20%increase in accuracy compared to a recent similar ***:The findings indicate that the multivariate model,specifically the M-LsTM,is more effective in identifying the progression of AD compared to the AdaBoost model and methodologies used in recent research.

关键词： Alzheimer's disease AdaBoost cognitive data multivariate LsTM neuroimaging data

scalable Ir‑Doped NiFe_(2)O_(4)/TiO_(2)Heterojunction Anode for Decentralized saline Wastewater Treatment and H_(2)Production

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Nano-Micro Letters 2025年第3期17卷 1-18页

作者： sukhwa Hong Jiseon Kim Jaebeom Park sunmi Im Michael r.Hoffmann Kangwoo Cho Division of Environmental science and Engineering Pohang University of Science and Technology(POSTECH)Pohang 790−784Korea Linde Laboratory California Institute of TechnologyPasadenaCA 91125USA Institute for Convergence research and Education in Advanced Technology(I‑CrEATE) Yonsei University International CampusIncheon 21983Republic of Korea

Wastewater electrolysis cells(WECs)for decentralized wastewater treatment/reuse coupled with H_(2)production can reduce the carbon footprint associated with transportation of water,waste,and energy *** study reports Ir-doped NiFe_(2)O_(4)(NFI,~5 at%Ir)spinel layer with TiO_(2)overlayer(NFI/TiO_(2)),as a scalable heterojunction anode for direct electrolysis of wastewater with circumneutral pH in a single-compartment *** dilute(0.1 M)NaCl solutions,the NFI/TiO_(2)marks superior activity and selectivity for chlorine evolution reaction,outperforming the benchmark IrO_(2).robust operation in near-neutral pH was *** including operando X-ray absorption spectroscopy unveiled crucial roles of TiO_(2) which serves both as the primary site for Cl−chemisorption and a protective layer for NFI as an ohmic *** electrolysis of NH4+-laden synthetic wastewater demonstrated that NFI/TiO_(2)not only achieves quasi-stoichiometric NH_(4)^(+)-to-N_(2)conversion,but also enhances H_(2)generation efficiency with minimal competing reactions such as reduction of dissolved oxygen and reactive *** scaled-up WEC with NFI/TiO_(2)was demonstrated for electrolysis of toilet wastewater.

关键词： Wastewater electrolysis cell Ir-doped NiFe_(2)O_(4) reactive chlorine species Decentralized H_(2)production On-site wastewater treatment

Variant Wasserstein Generative Adversarial Network Applied on Low Dose CT Image Denoising

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Computers, Materials & Continua 2023年第5期75卷 4535-4552页

作者： Anoud A.mahmoud Hanaa A.sayed sara s.Mohamed Department of Mathematics and Computer science Faculty of ScienceNew Valley UniversityNew Valley72511Egypt Department of Computer science College of Computer Science and Engineering Taibah UniversityMedina42221KSA Department of Mathematics Faculty of ScienceAssiut UniversityAssiut71516Egypt

Computed Tomography(CT)images have been extensively employed in disease diagnosis and treatment,causing a huge concern over the dose of radiation to which patients are *** the radiation dose to get a better image may lead to the development of genetic disorders and cancer in the patients;on the other hand,decreasing it by using a Low-Dose CT(LDCT)image may cause more noise and increased artifacts,which can compromise the ***,image reconstruction from LDCT image data is necessary to improve radiologists’judgment and *** study proposed three novel models for denoising LDCT images based on Wasserstein Generative Adversarial Network(WGAN).They were incorporated with different loss functions,including Visual Geometry Group(VGG),structural similarity Loss(ssIM),and structurally sensitive Loss(ssL),to reduce noise and preserve important information on LDCT images and investigate the effect of different types of loss ***,experiments have been conducted on the Graphical Processing Unit(GPU)and Central Processing Unit(CPU)to compare the performance of the proposed *** results demonstrated that images from the proposed WGAN-ssIM,WGAN-VGG-ssIM,and WGAN-VGG-ssL were denoised better than those from state-of-the-art models(WGAN,WGAN-VGG,and sMGAN)and converged to a stable equilibrium compared with WGAN and *** proposed models are effective in reducing noise,suppressing artifacts,and maintaining informative structure and texture details,especially WGAN-VGG-ssL which achieved a high peak-signalto-noise ratio(PNsr)on both GPU(26.1336)and CPU(25.8270).The average accuracy of WGAN-VGG-ssL outperformed that of the state-ofthe-art methods by 1 *** prove that theWGAN-VGG-ssL is more stable than the other models on both GPU and CPU.

关键词： Machine learning deep learning image denoising low dose CT loss function

A machine vision-intelligent modelling based technique for in-line bell pepper sorting

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Information Processing in Agriculture 2023年第4期10卷 491-503页

作者： Khaled Mohi-Alden mahmoud Omid mahmoud soltani Firouz Amin Nasiri Department of Agricultural Machinery Engineering Faculty of Agricultural Engineering and TechnologyUniversity of TehranIran Department of Biosystems Engineering and soil science University of TennesseeKnoxvilleTN 37996USA

The uniformity of appearance attributes of bell peppers is significant for consumers and food *** automate the sorting process of bell peppers and improve the packaging quality of this crop by detecting and separating the not likable low-color bell peppers,developing an appropriate sorting system would be of high importance and *** to standards and export needs,the bell pepper should be graded based on maturity levels and size to five *** research has been aimed to develop a machine vision-based system equipped with an intelligent modelling approach for in-line sorting bell peppers into desirable and undesirable samples,with the ability to predict the maturity level and the size of the desirable bell *** perceptron(MLP)artificial neural networks(ANNs)as the nonlinear modelswere designed for that *** modelswere trained and evaluated through five-fold cross-validation *** optimum MLP classifier was compared with a linear discriminant analysis(LDA)*** results showed that the MLP outperforms the LDA *** processing time to classify each captured image was estimated as 0.2 s/sample,which is fast enough for in-line ***,the optimum MLP model was integrated with a machine vision-based sorting machine,and the developed system was evaluated in the in-line *** performance parameters,including accuracy,precision,sensitivity,and specificity,were 93.2%,86.4%,84%,and 95.7%,*** total sorting rate of the bell pepper was also measured as approximately 3000 samples/h.

关键词： Bell pepper sorting Image processing Machine vision Multilayer perceptron Linear discriminant analysis

Anthropogenic mineral generation and its potential resource supply:The case of niobium

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science China Earth sciences 2024年第8期67卷 2583-2591页

作者： Xianlai ZENG Moisés Gómez mahmoud BAKrY Yong GENG Jinhui LI school of Environment Tsinghua UniversityBeijing 100084China school of Environmental science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China school of International and Public Affairs Shanghai Jiao Tong UniversityShanghai 200030China

The strategy of carbon neutrality is reshaping the global landscape of resource flow and *** the final sink of geological minerals,the proliferated anthropogenic minerals,also called secondary resources,play an increasingly important role in resource supply *** is a critical metal that lacks full concern for its *** fundamental principle of niobium circularity is to recycle and maintain the material as close to the manufacturing process as *** we estimate the niobium-containing applications lost at their end-of-life,underscoring the imperative to minimize such ***,we elucidate the extraction processes for scrap and alloy quantities throughout the industry's *** from anticipated waste generated by the majority of niobium applications,a forecast indicates a potential loss of approximately 168 kt by 2090 in the absence of ***,with a recycling efficiency of 90%for niobium,the projected loss diminishes to approximately 16 *** delve into the significance of niobium's circular economy and explore various aspects that demand further investigation for a seamless transition from linear to circular practices.

关键词： Niobium Anthropogenic mineral Circular economy recycling sustainability

Pathophysiology and treatment of Barrett's esophagus

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World Journal of Gastroenterology 2010年第30期16卷 3762-3772页

作者： Daniel s Oh steven r DeMeester Department of surgery The University of Southern CaliforniaKeck School of MedicineLos AngelesCA 90033United States

Gastroesophageal reflux disease (GErD) affects an estimated 20% of the population in the United states. About 10%-15% of patients with GErD develop Barrett’s esophagus, which can progress to adenocarcinoma, currently the most prevalent type of esophageal cancer. The esophagus is normally lined by squamous mucosa, therefore, it is clear that for adenocarcinoma to develop, there must be a sequence of events that result in transformation of the normal squamous mucosa into columnar epithelium. This sequence begins with gastroesophageal reflux, and with continued injury metaplastic columnar epithelium develops. This article reviews the pathophysiology of Barrett’s esophagus and implications for its treatment. The effect of medical and surgical therapy of Barrett’s esophagus is compared.

关键词： Gastroesophageal reflux disease Barrett’s esophagus Lower esophageal sphincter Esophageal motility Proton pump inhibitors Antireflux surgery

Efficient Channel Estimation Techniques for MIMO systems with 1-Bit ADC

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China Communications 2020年第5期17卷 50-64页

作者： Hany sHussein shaimaa Hussein Ehab mahmoud Mohamed Electrical Engineering Dept. College of EngineeringKing Khalid UniversityAbha 61411King of Saudi Arabia Electrical Engineering Dept. Faculty of EngineeringAswan UniversityAswan 81542Egypt Electrical Engineering Dept. College of EngineeringPrince Sattam Bin Abdulaziz UniversityWadi Addwasir 11991King of Saudi Arabia

With a low resolution 1-bit ADC on its receiver(rX) side, MIMO with 1-bit ADC took a considerable step in the fulfillment of the hardware complexity constrains of the internet of things(IoT) PHY layer design. However, applying 1-bit ADC at MIMO rX results in severe nonlinear quantization error. By which, almost all received signal amplitude information is completely distorted. Thus, MIMO channel estimation is considered as a major barrier towards practical realization of 1-bit ADC MIMO system. In this paper, two efficient sparsity-based channel estimation techniques are proposed for 1-bit ADC MIMO systems, namely the low complexity sparsity-based channel estimation(LCsCE), and the iterative adaptive sparsity channel estimation(IAsCE). In these techniques, the sparsity of the 1-bit ADC MIMO channel is exploited to propose a new adaptive and iterative compressive sensing(Cs) recovery algorithm to handle the 1-bit ADC quantization effect. The proposed algorithms are tested with the state-of-the-art 1-bit ADC MIMO constant envelope modulation(MIMO-CEM). The 1-bit ADC MIMO-CEM system is chosen as it fulfills both energy and hardware complexity constraints of the IoT PHY layer. simulation results reveal the high effectiveness of the proposed algorithms in terms of spectral efficiency(sE) and computational complexity. The proposed LCsCE reduces the computational complexity of the 1-bit ADC MIMO-CEM channel estimation by 86%, while the IAsCE reduces it by 96% compared to the recent techniques of MIMO-CEM channel estimation. Moreover, the proposed LCsCE and IAsCE improve the spectrum efficiency by 76 % and 73 %, respectively, compared to the recent techniques.

关键词： channel estimation 1-bit ADC MIMO sparsity recovery compressive sensing Internet of things