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U-Net Inspired Deep Neural Network-Based Smoke Plume Detection in Satellite Images

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Computers, Materials & Continua 2024年第4期79卷 779-799页

作者： Ananthakrishnan Balasundaram Ayesha Shaik Japmann kaur Banga Aman Kumar Singh Centre for Cyber Physical Systems Vellore Institute of Technology(VIT)ChennaiTamil Nadu600127India School of Computer Science and Engineering Vellore Institute of Technology(VIT)ChennaiTamil Nadu600127India

Industrial activities, through the human-induced release of Green House Gas (GHG) emissions, have beenidentified as the primary cause of global warming. Accurate and quantitative monitoring of these emissions isessential for a comprehensive understanding of their impact on the Earth’s climate and for effectively enforcingemission regulations at a large scale. This work examines the feasibility of detecting and quantifying industrialsmoke plumes using freely accessible geo-satellite imagery. The existing systemhas so many lagging factors such aslimitations in accuracy, robustness, and efficiency and these factors hinder the effectiveness in supporting timelyresponse to industrial fires. In this work, the utilization of grayscale images is done instead of traditional colorimages for smoke plume detection. The dataset was trained through a ResNet-50 model for classification and aU-Net model for segmentation. The dataset consists of images gathered by European Space Agency’s Sentinel-2 satellite constellation from a selection of industrial sites. The acquired images predominantly capture scenesof industrial locations, some of which exhibit active smoke plume emissions. The performance of the abovementionedtechniques and models is represented by their accuracy and IOU (Intersection-over-Union) *** images are first trained on the basic RGB images where their respective classification using the ResNet-50model results in an accuracy of 94.4% and segmentation using the U-Net Model with an IOU metric of 0.5 andaccuracy of 94% which leads to the detection of exact patches where the smoke plume has occurred. This work hastrained the classification model on grayscale images achieving a good increase in accuracy of 96.4%.

关键词： Smoke plume ResNet-50 U-Net geo satellite images early warning global monitoring

Economic Power Dispatching from Distributed Generations: Review of Optimization Techniques

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Energy Engineering 2024年第3期121卷 557-579页

作者： Paramjeet kaur Krishna Teerth Chaturvedi Mohan Lal Kolhe Department of Electrical&Electronics Engineering University Institute of TechnologyBhopalIndia Faculty of Engineering and Science University of AgderKristiansandNorway

In the increasingly decentralized energy environment,economical power dispatching from distributed generations(DGs)is crucial to minimizing operating costs,optimizing resource utilization,and guaranteeing a consistent and sustainable supply of electricity.A comprehensive review of optimization techniques for economic power dispatching from distributed generations is imperative to identify the most effective strategies for minimizing operational costs while maintaining grid stability and *** choice of optimization technique for economic power dispatching from DGs depends on a number of factors,such as the size and complexity of the power system,the availability of computational resources,and the specific requirements of the *** techniques for economic power dispatching from distributed generations(DGs)can be classified into two main categories:(i)Classical optimization techniques,(ii)Heuristic optimization *** classical optimization techniques,the linear programming(LP)model is one of the most popular optimization *** the LP model,power demand and network constraints are met while minimizing the overall cost of generating electricity from *** approach is efficient in determining the best DGs dispatch and is capable of handling challenging optimization issues in the large-scale system including *** quadratic programming(QP)model,a classical optimization technique,is a further popular optimization method,to consider *** QP model can take into account the quadratic cost of energy production,with consideration constraints like network capacity,voltage,and *** metaheuristic optimization techniques are also used for economic power dispatching from DGs,which include genetic algorithms(GA),particle swarm optimization(PSO),and ant colony optimization(ACO).Also,Some researchers are developing hybrid optimization techniques that combine elements of classical and heuristic optimiz

关键词： Economic power dispatching distributed generations decentralized energy cost minimization optimization techniques

Cellular interplay to 3D in vitro microphysiological disease model:cell patterning microbiota-gut-brain axis

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Bio-Design and Manufacturing 2024年第3期7卷 320-357页

作者： Kamare Alam Lakshmi Nair Souvik Mukherjee Kulwinder kaur Manjari Singh Santanu Kaity Velayutham Ravichandiran Sugato Banerjee Subhadeep Roy Department of Pharmacology and Toxicology National Institute of Pharmaceutical Education and ResearchKolkataWest Bengal 700054India Department of Pharmaceutical Sciences Assam UniversitySilchar 788011India Department of Pharmaceutical Sciences Guru Ghasidas UniversityKoniBilaspur 495009C.G.India School of Pharmacy and Biomolecular Sciences RCSI University of Medicine and Health SciencesDublin D02 YN77Ireland Tissue Engineering Research Group Department of Anatomy and Regenerative MedicineRCSI University of Medicine and Health SciencesDublin D02 YN77Ireland Department of Pharmaceutics National Institute of Pharmaceutical Education and ResearchKolkataWest Bengal 700054India Department of Natural Products National Institute of Pharmaceutical Education and ResearchKolkataWest Bengal 700054India

The microbiota-gut-brain axis(MGBA)has emerged as a key prospect in the bidirectional communication between two major organ systems:the brain and the *** between the two organ systems allows the body to function without disease,whereas dysbiosis has long-standing evidence of etiopathological *** most common communication paths are the microbial release of metabolites,soluble neurotransmitters,and immune ***,each pathway is intertwined with a complex *** the emergence of in vitro models and the popularity of three-dimensional(3D)cultures and Transwells,engineering has become easier for the scientific understanding of neurodegenerative *** paper briefly retraces the possible communication pathways between the gut microbiome and the *** further elaborates on three major diseases:autism spectrum disorder,Parkinson’s disease,and Alzheimer’s disease,which are prevalent in children and the *** diseases also decrease patients’quality of ***,understanding them more deeply with respect to current advances in in vitro modeling is crucial for understanding the *** of MGBA in the laboratory uses many molecular technologies and biomaterial *** and organoids provide a more realistic picture of the cell and tissue structure than *** them with the Transwell system offers the advantage of compartmentalizing the two systems(apical and basal)while allowing physical and chemical cues between ***-edge technologies,such as bioprinting and microfluidic chips,might be the future of in vitro modeling,as they provide dynamicity.

关键词： Microbiota-gut-brain axis Neurodegeneration 3D disease model Organoid Transwell system

Maximizing Resource Efficiency in Cloud Data Centers through Knowledge-Based Flower Pollination Algorithm (KB-FPA)

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Computers, Materials & Continua 2024年第6期79卷 3757-3782页

作者： Nidhika Chauhan Navneet kaur Kamaljit Singh Saini Sahil Verma Kavita Ruba Abu Khurma Pedro A.Castillo University Institute of Computing Department Chandigarh UniversityPunjab140413India Department of Computer Science and Engineering Chandigarh UniversityPunjab140413India Universidade Federal do Piauí TeresinaPiauí64049-550Brazil MEU Research Unit Faculty of Information TechnologyMiddle East UniversityAmman11831Jordan Applied Science Research Center Applied Science Private UniversityAmman11931Jordan Department of Computer Engineering Automatics and RoboticsUniversity of GranadaGranada18071Spain

Cloud computing is a dynamic and rapidly evolving field,where the demand for resources fluctuates *** paper delves into the imperative need for adaptability in the allocation of resources to applications and services within cloud computing *** motivation stems from the pressing issue of accommodating fluctuating levels of user demand *** adhering to the proposed resource allocation method,we aim to achieve a substantial reduction in energy *** reduction hinges on the precise and efficient allocation of resources to the tasks that require those most,aligning with the broader goal of sustainable and eco-friendly cloud computing *** enhance the resource allocation process,we introduce a novel knowledge-based optimization *** this study,we rigorously evaluate its efficacy by comparing it to existing algorithms,including the Flower Pollination Algorithm(FPA),Spark Lion Whale Optimization(SLWO),and Firefly *** findings reveal that our proposed algorithm,Knowledge Based Flower Pollination Algorithm(KB-FPA),consistently outperforms these conventional methods in both resource allocation efficiency and energy consumption *** paper underscores the profound significance of resource allocation in the realm of cloud *** addressing the critical issue of adaptability and energy efficiency,it lays the groundwork for a more sustainable future in cloud computing *** contribution to the field lies in the introduction of a new resource allocation strategy,offering the potential for significantly improved efficiency and sustainability within cloud computing infrastructures.

关键词： Cloud computing resource allocation energy consumption optimization algorithm flower pollination algorithm

Fentanyl and xylazine crisis:Crafting coherent strategies for opioid overdose prevention

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World Journal of Psychiatry 2024年第6期14卷 760-766页

作者： Lakshit Jain Jasleen kaur Shahana Ayub Danya Ansari Rizwan Ahmed Abdul Qadir Dada Saeed Ahmed Department of Psychiatry University of ConnecticutFarmingtonCT 06032United States Addiction Services Division Connecticut Valley HospitalMiddletownCT 06457United States Department of Psychiatry Institute of LivingHartfordCT 06102United States Department of Medicine Islamabad Medical and Dental CollegeIslamabad 44000Pakistan Department of Medicine Liaquat College of Medicine and DentistryKarachi 75290Pakistan Department of Medicine Trinity School of MedicineRoswellGA 30075United States Addiction Services and Dual Diagnosis Unit Saint Francis Hospital and Medical CenterHartfordCT 06105United States

The United States is in the throes of a severe opioid overdose epidemic,primarily fueled by the pervasive use of fentanyl and the emerging threat of xylazine,a veterinary sedative often mixed with *** high potency and long duration of fentanyl is compounded by the added risks from xylazine,heightening the lethal danger faced by opioid *** such as enhanced surveillance,public awareness campaigns,and the distribution of fentanylxylazine test kits,and naloxone have been undertaken to mitigate this ***-related overdose deaths persist despite these efforts,partly due to inconsistent policies across states and resistance towards adopting harm reduction strategies.A multifaceted approach is imperative in effectively combating the opioid overdose *** approach should include expansion of treatment access,broadening the availability of medications for opioid use disorder,implementation of harm reduction strategies,and enaction of legislative reforms and diminishing stigma associated with opioid use disorder.

关键词： Fentanyl Xylazine Opioid overdose Epidemic Opioid use disorder Buprenorphine Medications for opioid use disorder

Estimating Optimal Location of STATCOM and Minimization of Congestion Cost by Locational Marginal Price Using Flower Pollination， and Particle Swarm Optimization Techniques

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Journal of Harbin Institute of Technology(New series) 2024年

作者： Gagandeep kaur Akhil Gupta Electrical Engineering Department M.R.Singh Punjab Technical University Electrical Engineering Department I.K.Gujral Punjab Technical University Main Campus

Restructuring of power market not only introduces competition， but also brings complexity which increases overloading of Transmission Lines (TL). To obliviate this complexity， this paper aims to mitigate the overloading and estimate the optimal location of Static Synchronous Compensator (STATCOM) by reducing congestion for a deregulated power system. The proposed method is based on the use of Locational Marginal Price (LMP) difference technique and congestion cost. LMPs are obtained as a by-product of Optimal Power Flow (OPF)， whereas Congestion Cost (CC) is a function of difference in LMP and power flows. An endeavor is justified by reducing the CCand solution space which can identify the TLs more suitable for placement of STATCOM. Importantly， total real power loss， reactive power loss and total CCare the three main objective functions in this optimization process. The process is implemented by developing an IEEE-69 bus test system which verifies and validates the effectiveness of proposed optimization technique. Additionally， a comparative analysis is enumerated by implementing two optimization techniques: Flower Pollination Algorithm (FPA) and Particle Swarm Optimization (PSO). The comparative analysis is sufficient to demonstrate the superiority of FPA technique over PSO technique in estimating an optimal placement of a STATCOM. The results from the load-flow analysis illustrate the reduction in CC， total real and reactive power loss using FPA technique over PSO technique. Overall， satisfactory results are obtained without using complex calculations which verify the effectiveness of optimization techniques.

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Palliative long-term abdominal drains vs large volume paracenteses for the management of refractory ascites in end-stage liver disease

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World Journal of Hepatology 2024年第3期16卷 428-438页

作者： Senamjit kaur Rodrigo V Motta Bryony Chapman Victoria Wharton Jane D Collier Francesca Saffioti Oxford Liver Unit Department of Gastroenterology and HepatologyOxford University Hospitals NHS Foundation TrustOxford OX39DUUnited Kingdom Oxford Liver Unit and Translational Gastroenterology Unit Nuffield Department of MedicineUniversity of OxfordOxford OX39DUUnited Kingdom

BACKGROUND Long-term abdominal drains(LTAD)are a cost-effective palliative measure to manage malignant ascites in the community,but their use in patients with end-stage chronic liver disease and refractory ascites is not routine *** safety and cost-effectiveness of LTAD are currently being studied in this setting,with preliminary positive *** hypothesised that palliative LTAD are as effective and safe as repeat palliative large volume paracentesis(LVP)in patients with cirrhosis and refractory ascites and may offer advantages in patients’quality of *** To compare the effectiveness and safety of palliative LTAD and LVP in refractory ascites secondary to end-stage chronic liver *** A retrospective,observational cohort study comparing the effectiveness and safety outcomes of palliative LTAD and regular palliative LVP as a treatment for refractory ascites in consecutive patients with end-stage chronic liver disease followed-up at our United Kingdom tertiary centre between 2018 and 2022 was ***’s exact tests and the Mann-Whitney U test were used to compare qualitative and quantitative variables,***-Meier survival estimates were generated to stratify time-related outcomes according to the type of *** Thirty patients had a total of 35 indwelling abdominal drains and nineteen patients underwent regular *** baseline characteristics were similar between the *** antibiotics were more frequently prescribed in patients with LTAD(P=0.012),while the incidence of peritonitis did not differ between the two groups(P=0.46).The incidence of acute kidney injury(P=0.014)and ascites/drain-related hospital admissions(P=0.004)were significantly higher in the LVP *** overall survival was similar in the two groups(log-rank P=0.26),but the endpoint-free survival was significantly shorter in the LVP group(P=0.003,P<0.001,P=0.018 for first ascites/drain-related admission,acute kidney injury and drain

关键词： Decompensated liver cirrhosis Indwelling abdominal catheter Rocket drain Palliative care Safety Quality of life

Smart tailoring of molecular catalysts:Mounting approach to oxygen reduction reaction

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Journal of Materials Science & Technology 2024年第1期168卷 169-184页

作者： Anuj Kumar Mohd Ubaidullah Guoxin Zhang Jasvinder kaur Saira Ajmal Mudassir Hasan Krishna Kumar Yadav Hafiz M.Adeel Sharif Ram K.Gupta Ghulam Yasin Nano-Technology Research Laboratory Department of ChemistryGLA UniversityMathuraUttar Pradesh 281406India Department of Chemistry College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia Department of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdaoShandong 266590China Institute for Advanced Study Shenzhen UniversityShenzhenGuangdong 518060China Department of Chemistry Kansas Polymer Research CenterPittsburg State UniversityPittsburgKS 66762United States Faculty of Science and Technology Madhyanchal Professional UniversityRatibadBhopal 462044India Environmental and Atmospheric Sciences Research Group Scientific Research CenterAl-Ayen UniversityThi-QarNasiriyah 64001Iraq Department of Chemical Engineering King Khalid University Saudi Arabia Department of Chemistry School of SciencesIFTM UniversityMoradabadUttar Pradesh 244102India Research Center for Eco-Environmental Engineering Dongguan University of TechnologyDongguan 523808China School of Environment and Civil Engineering Dongguan University of TechnologyDongguanGuangdong 523808China

Efficient electrocatalytic rupture of energy-rich molecules(H_(2)and O_(2))is a green approach for gener-ating clean energy for modern *** this context,porphyry-type molecular electrocatalysts act intelligently toward oxygen reduction reaction(ORR),a fundamental process in fuel cells,due to their redox-rich chemistry,which involves core metal ions and macrocyclic *** concerned scientific community has tried many times to correlate the ORR intermediates with their formation kinetics and simplify the associated multi H+/e-stages during the ORR process,constructing several volcano plots be-tween catalytic Tafel data,turnover frequencies,and overpotentials for many *** the fact that many review articles on molecular electrocatalysts for ORR have been published,understanding the strategic implications and molecular catalyst intelligence towards homogenous ORR has been poorly *** review examined the relationships between volcano plots of current *** parameters and the Sabatier principle in order to explain the intelligence of molecular electrocatalysts and approaches for their creation,as well as the difficulties and potential prospects of molecular *** facts distinguish this review from previously published articles and will pique the scien-tific community’s interest in avoiding trial-and-error procedures for catalyst creation while also allowing for more exact evaluations of the molecular catalyst’s performance.

关键词： Electrocatalysis Molecular catalysts Oxygen reduction reaction Sabatier principle

Processing Effects on Selected Antioxidant Activities and Metabolizing Enzyme Inhibition of M. Koneigii (Curry Leaves) Extracts

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Food and Nutrition Sciences 2024年第6期15卷 470-483页

作者： Karthik Medabalimi Rajwinder kaur Martha Verghese Nutritional Biochemistry Laboratory Department of Food and Animal Sciences Alabama A&M University Huntsville USA.

Curry leaves, scientifically termed Murraya koenigii, are renowned in South Asian cuisine for their flavor enhancement and potential health benefits, including antioxidative, anti-inflammatory, and antidiabetic properties. This study aimed to evaluate the impact of thermal processing methods on curry leaves by analysing Total Phenolic Content (TPC), Total Flavonoid Content (TFC), antioxidant activity, and metabolizing enzyme inhibition. Fresh curry leaves were subjected to thermal treatments: Oven-dried at 60˚C and Air-dried at 25˚C for 2 weeks. Extracts were prepared using Ethanol and water solvents. Results indicated that Air-dried leaves exhibited significantly higher TPC (5132.65 mg GAE/100 g) and TFC (243.13 mg CE/100 g) compared to Fresh and Oven-dried leaves. Antioxidant assays show that oven-dried curry leaves at 60˚C displayed higher results in NORS, FRAP, and TEAC assays compared to Fresh and Air-dried leaves. Ethanol extracts showed better extraction of bioactive compounds than aqueous extracts. Moreover, Lipase inhibition activity was notably high, indicating potential health benefits. This study provides valuable insights into the effects of processing methods on curry leaf extracts, emphasizing the importance of solvent selection for optimal extraction of bioactive compounds.

关键词： Murraya Koenigii Curry leaves Antioxidants Phytochemicals Metabolizing Enzymes