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Geochemistry and depositional environment of fuchsite quartzites from sargur Group,western Dharwar Craton,india

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Acta Geochimica 2024年第3期43卷 555-570页

作者： C.s.sindhuja G.Harshitha C.Manikyamba K.s.V.subramanyam CsiR(Council of scientific and industrial Research)-National Geophysical Research i.s.itute(NGRi) Uppal RoadHyderabad 500007India

Meso-Neoarchean fuchsite quartzites are present in different stratigraphic positions of Dharwar Craton including the oldest(~3.3 Ga)sargur Group of western Dharwar *** present study deals with the petro-graphic and geochemical characteristi.s.of the fuchsite quartzites from the Ghattihosahalli belt to evaluate their genesis,depositional setting and the enigma involved in the ancient sedimentation *** major mineral assemblages include quartz,fuchsite,and feldspars along with accessory kyanite and *** geochemical com-positions are characterized by high siO_(2),Al_(2)O_(3),low MgO,CaO,strongly enriched Cr(1326–6899 ppm),Ba(1165–3653 ppm),sr(46–210 ppm),V(107–868 ppm)and Zn(11–158 ppm)contents compared to the upper continental crust(UCC).The UCC normalized rare earth element(REE)patterns are characterized by depleted light REE[(La/sm)UCC=0.33–0.95]compared to heavy REE[(Gd/Yb)_(UCC)=0.42–1.65]with conspicuous positive Eu-anomali.s.Eu/Eu^(*)=1.35–18.27)characteristic of hydrothermal solutions evidenced through the interlayered *** overall major and trace element systemati.s.reflect a combined mafic-felsic provenance and suggest their deposition at a passive continental margin *** comprehensivefield,petrographic,and geo-chemical studi.s.indicate that these quartzites are infiltrated by Cr-richflui.s.released during high-grade metamorphism of associated ultramafic *** sargur and the subse-quent Dharwar orogeny amalgamated diverse lithouni.s.from different tectonic settings,possibly leading to the release of Cr-richflui.s.and the formation of fuchsite quartzite during or after the *** sug-gest a pre-existing stable crust prior to the sargur Group and the link between orogenic events and various mineral deposi.s.in the Dharwar Craton.

关键词： Dharwar Craton Ghattihosahalli Fuchsite quartzite Provenance Depositional setting

All-optical image denoising using a diffractive visual processor

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Light(science & Applications) 2024年第3期13卷 429-445页

作者： Çağatay işıl Tianyi Gan Fazil Onuralp Ardic koray Mentesoglu Jagrit Digani Huseyin Karaca Hanlong Chen Jingxi Li Deniz Mengu Mona Jarrahi Kaan Akşit Aydogan Ozcan Electrical and Computer Engineering Department University of CaliforniaLos AngelesCA 90095USA Bioengineering Department University of CaliforniaLos AngelesCA 90095USA California Nanosystems i.s.itute(CNsi) University of CaliforniaLos AngelesCA 90095USA University College London Department of Computer ScienceLondonUnited Kingdom

image denoising,one of the essential inverse problems,targets to remove noise/artifacts from input *** general,digital image denoising algorithms,executed on computers,present latency due to several iterations implemented in,e.g.,graphi.s.processing uni.s.GPUs).While deep learning-enabled methods can operate non-iteratively,they also introduce latency and impose a significant computational burden,leading to increased power ***,we introduce an analog diffractive image denoiser to all-optically and non-iteratively clean various forms of noise and artifacts from input images–implemented at the speed of light propagation within a thin diffractive visual processor that axially spansis the wavelength of *** all-optical image denoiser comprises passive transmi.s.ve layers optimized using deep learning to physically scatter the optical modes that represent various noise features,causing them to mi.s.the output image Field-of-View(FoV)while retaining the object features of *** results show that these diffractive denoisers can efficiently remove salt and pepper noise and image rendering-related spatial artifacts from input phase or intensity images while achieving an output power efficiency of~30–40%.We experimentally demonstrated the effectiveness of this analog denoiser architecture using a 3D-printed diffractive visual processor operating at the terahertz *** to their speed,power-efficiency,and minimal computational overhead,all-optical diffractive denoisers can be transformative for various image display and projection systems,including,e.g.,holographic displays.

关键词： remove rendering holographic

Explainable Conformer Network for Detection of COViD-19 Pneumonia from Chest CT scan: From Concepts toward Clinical Explainability

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Computers, Materials & Continua 2024年第1期78卷 1171-1187页

作者： Mohamed Abdel-Basset Hossam Hawash Mohamed Abouhawwash s.s.Askar Alshaimaa A.Tantawy Faculty of Computers and informatics Zagazig UniversityZagazig44519Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of statisti.s.and Operations Research College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia

The early implementation of treatment therapi.s.necessitates the swift and precise identification of COViD-19 pneumonia by the analysis of chest CT *** study ai.s.to investigate the indispensable need for precise and interpretable diagnostic tools for improving clinical decision-making for COViD-19 *** paper proposes a novel deep learning approach,called Conformer Network,for explainable discrimination of viral pneumonia depending on the lung Region of infections(ROi)within a single modality radiographic CT ***,an efficient U-shaped transformer network is integrated for lung image ***,a robust transfer learning technique is introduced to design a robust feature extractor based on pre-trained lightweight Big Transfer(BiT-L)and finetuned on medical data to effectively learn the patterns of infection in the input ***,this work presents a visual explanation method to guarantee clinical explainability for decisions made by Conformer *** evaluation of real-world CT data demonstrated that the diagnostic accuracy of ourmodel outperforms cutting-edge studi.s.with statistical *** Conformer Network achieves 97.40% of detection accuracy under cross-validation *** model not only achieves high sensitivity and specificity but also affords visualizations of salient features contributing to each classification decision,enhancing the overall transparency and trustworthiness of our *** findings provide obvious implications for the ability of our model to empower clinical staff by generating transparent intuitions about the features driving diagnostic decisions.

关键词： Deep learning COViD-19 multi-modal medical image fusion diagnostic image fusion

Role of climatic variability in shaping intraspecific variation of thermal tolerance in Mediterranean water beetles

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i.s.ct science 2024年第1期31卷 285-298页

作者： susana Pallarés David Garoffolo Belén Rodríguez David sánchez-Fernández Department of Zoology University of SevilleSevilleSpain Faculty of Biology Department of Ecology and HydrologyUniversity of MurciaCampus EspinardoMurciaSpain

The climatic variability hypothesis(CVH)predicts that organisms in more thermally variable environments have wider thermal breadths and higher thermal plasticity than those from more stable ***,due to evolutionary trade-offs,taxa with greater absolute thermal limi.s.may have little plasticity of such limi.s.trade-off hypothesis).The CVH assumes that climatic variability is the ultimate driver of thermal tolerance variation across latitudinal and altitudinal gradients,but average temperature also vari.s.along such *** explored intraspecific variation of thermal tolerance in three typical Mediterranean saline water beetles(famili.s.Hydrophilidae and Dytiscidae).For each speci.s.we compared two populations where the speci.s.coexist,with similar annual mean temperature but contrasting thermal variability(continental *** population).We estimated thermal limi.s.of adults from each population,previously acclimated at 17,20,or 25℃.We found speci.s.specific patterns but overall,our results agree with the CVH regarding thermal ranges,which were wider in the continental(more variable)*** the two hydrophilid speci.s.this came at the cost of losing plasticity of the upper thermal limit in this population,supporting the trade-off hypothesis,but not in the dytiscid *** results support the role of local adaptation to thermal variability and trade-offs between basal tolerance and physiological plasticity in shaping thermal tolerance in aquatic ectotherms,but also suggest that intraspecific variation of thermal tolerance does not fit a general pattern among aquatic *** such intraspecific variation could lead to inaccurate predictions of the vulnerability of aquatic i.s.cts to global warming.

关键词： acclimation capacity aquatic i.s.cts climate change heat coma temperature supercooling point thermal plasticity

Optimizing Average Electric Power During the Charging of Lithium-ion Batteri.s.Through the Taguchi Method

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Transactions of Tianjin University 2024年第2期30卷 152-166页

作者： Mohd H.s.Alrashdan Department of Electrical Engineering Al-Hussein Bin Talal UniversityMaan 71110Jordan

in recent times, lithium-ion batteri.s.have been widely used owing to their high energy density, extended cycle lifespan, and minimal self-discharge rate. The design of high-speed rechargeable lithium-ion batteri.s.faces a significant challenge owing to the need to increase average electric power during charging. This challenge results from the direct influence of the power level on the rate of chemical reactions occurring in the battery electrodes. in this study, the Taguchi optimization method was used to enhance the average electric power during the charging process of lithium-ion batteri.s. The Taguchi technique is a statistical strategy that facilitates the systematic and efficient evaluation of numerous experimental variables. The proposed method involved varying seven input factors, including positive electrode thickness, positive electrode material, positive electrode active material volume fraction, negative electrode active material volume fraction, separator thickness, positive current collector thickness, and negative current collector thickness. Three levels were assigned to each control factor to identify the optimal conditions and maximize the average electric power during charging. Moreover, a variance assessment analysis was conducted to validate the results obtained from the Taguchi analysis. The results revealed that the Taguchi method was an eff ective approach for optimizing the average electric power during the charging of lithium-ion batteri.s. This indicates that the positive electrode material, followed by the separator thickness and the negative electrode active material volume fraction, was key factors significantly infl uencing the average electric power during the charging of lithium-ion batteri.s.response. The identification of optimal conditions resulted in the improved performance of lithium-ion batteri.s. extending their potential in various applications. Particularly, lithium-ion batteri.s.with average electric power of 16 W and 17

关键词： Lithium-ion batteries Average electric power during charging Taguchi method COMsOL Multiphysi.s.software C rate L27 orthogonal array

shear wave velocity model using HVsR inversion beneath Bandar Lampung City

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Earthquake science 2024年第4期37卷 337-351页

作者： Ahmad Zaenudin Alhada Farduwin Gede i Boy Darmawan Karyanto Department of Geophysical Engineering University of LampungBandar Lampung 35145Indonesia Department of Geophysical Engineering Sumatera Institute of TechnologySouth Lampung 35365Indonesia

The horizontal-to-vertical spectral ratio(HVsR)method has been used to characterize site-effect parameters that are indispensable in seismic hazard and risk-reduction studi.s.in urban areas and rapid land-use *** method is widely used because it is the cheapest and simplest geophysical method for the acquisition and processing *** subsequent developments,the HVsR method has been widely used to determine elastic rock parameters,particularly shear wave velocity(v_(s)),through the HVsR curve inversion ***,the v_(s)structural model can be used to delineate the presence of complex geological structures,particularly faults and sedimentary *** Lampung is a city in Lampung Province with many fault structures and groundwater basi.s.to the *** are 83 HVsR measurement points around Bandar Lampung for delineating the presence of fault structures and groundwater *** produced the HVsR curve from the measurement results and then performed an inversion process using the particle swarm optimization algorithm to obtain v_(s)for the depth ***,from this profile,we produced a two-dimensional(2D)lateral and vertical *** mean v_(s)value was calculated from all the measurement points,and we found stiff soil layers reaching depths of approximately 5 m,with a value of v_(s)s.A bedrock layer with a velocity exceeding 1250 m/s was visible at a depth of 100 *** on the 2D model,the v_(s)structure shows that the city of Bandar Lampung is divided into two zones,with a NW-sE *** north-middle-eastern part of the city consists of harder *** harder rock is characterized by extremely high v_(s)values,starting from a depth of 50 *** contrast,the south-middle-west exhibi.s.a low-moderate v_(s)anomaly associated with groundwater basi.s.sW of the *** the 2D v_(s)structural model,fault structures can be found along the city,characterized by a contrast of v_(s)values from low to medium and from me

关键词： shear wave velocity HVsR fault structures groundwater basin Bandar Lampung City

MAiPFE:An Efficient Multimodal Approach integrating Pre-Emptive Analysis,Personalized Feature selection,and Explainable Ai

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Computers, Materials & Continua 2024年第5期79卷 2229-2251页

作者： Moshe Dayan sirapangi.s.Gopikrishnan school of Computer science and Engineering VIT-AP UniversityAmaravathiAndhra Pradesh522241India

Medical internet of Things(ioT)devices are becoming more and more common in *** has created a huge need for advanced predictive health modeling strategi.s.that can make good use of the growing amount of multimodal data to find potential health risks early and help individuals in a personalized *** methods,while useful,have limitations in predictive accuracy,delay,personalization,and user interpretability,requiring a more comprehensive and efficient approach to harness modern medical ioT *** is a multimodal approach integrating pre-emptive analysis,personalized feature selection,and explainable Ai for real-time health monitoring and disease *** using Ai for early disease detection,personalized health recommendations,and transparency,healthcare will be *** Multimodal Approach integrating Pre-emptive Analysis,Personalized Feature selection,and Explainable Ai(MAiPFE)framework,which combines Firefly Optimizer,Recurrent Neural Network(RNN),Fuzzy C Means(FCM),and Explainable Ai,improves disease detection precision over existing *** metri.s.show the model’s superiority in real-time health *** proposed framework outperformed existing models by 8.3%in disease detection classification precision,8.5%in accuracy,5.5%in recall,2.9%in specificity,4.5%in AUC(Area Under the Curve),and 4.9%in delay *** prediction precision increased by 4.5%,accuracy by 3.9%,recall by 2.5%,specificity by 3.5%,AUC by 1.9%,and delay levels decreased by 9.4%.MAiPFE can revolutionize healthcare with preemptive analysis,personalized health i.s.ghts,and actionable *** research shows that this innovative approach improves patient outcomes and healthcare efficiency in the real world.

关键词： Predictive health modeling Medical internet of Things explainable artificial intelligence personalized feature selection preemptive analysis

Real-Time Prediction of Urban Traffic Problems Based on Artificial intelligence-Enhanced Mobile Ad Hoc Networks(MANETs)

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Computers, Materials & Continua 2024年第5期79卷 1903-1923页

作者： Ahmed Alhussen Arshiya s.Ansari Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of information Technology College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia

Traffic in today’s citi.s.is a serious problem that increases travel times,negatively affects the environment,and drai.s.financial *** study presents an Artificial intelligence(Ai)augmentedMobile Ad Hoc Networks(MANETs)based real-time prediction paradigm for urban traffic *** are wireless networks that are based on mobile devices and may *** distributed nature of MANETs and the power of Ai approaches are leveraged in this framework to provide reliable and timely traffic congestion *** study suggests a unique Chaotic spatial Fuzzy Polynomial Neural Network(CsFPNN)technique to assess real-time data acquired from various sources within *** framework uses the proposed approach to learn from the data and create predictionmodels to detect possible traffic problems and their severity in real ***-time traffic prediction allows for proactive actions like resource allocation,dynamic route advice,and traffic signal optimization to reduce *** framework supports effective decision-making,decreases travel time,lowers fuel use,and enhances overall urban mobility by giving timely information to pedestrians,drivers,and urban *** simulations and real-world datasets are used to test the proposed framework’s prediction accuracy,responsiveness,and *** results show that the suggested framework successfully anticipates urban traffic i.s.es in real-time,enables proactive traffic management,and ai.s.in creating smarter,more sustainable citi.s.

关键词： Mobile AdHocNetworks(MANET) urban traffic prediction artificial intelligence(Ai) traffic congestion chaotic spatial fuzzy polynomial neural network(CsFPNN)

Olefin Polymerization Behavior of Titanium(iV) Complexes with Fluorinated and Non-fluorinated Aliphatic Phenoxyimine Ligands

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Chinese Journal of Polymer science 2024年第1期42卷 52-62,I0007页

作者： Vladislav A.Tuskaev Kasim F.Magomedov svetlana Ch.Gagieva Dmitry A.Kurmaev Yulia V.Nelyubina Evgenii K.Golubev Maria D.Evseeva Viktor G.Vasil'ev Galina G.Nikiforova Mikhail i.Buzin Vyacheslav s.Bogdanov Boris M.Bulychev Department of Chemistry M.V.Lomonosov Moscow State UniversityMoscow 119992Russian Federation A.N.Nesmeyanov i.s.itute of Organoelement Compounds Russian Academy of SciencesMoscow119991Russian Federation Enikolopov i.s.itute of synthetic Polymer Materials Russian Academy of SciencesMoscow 117393Russian Federation

A seri.s.of Ti(Ⅳ) dichloride and dialkoxide com plexes with phenoxyimine ligands containing fluorinated and nonfluorinated aliphatic imine fragments have been *** molecular structures of complexes 1 and 4 were established by single-crystal X-ray diffraction *** complexes adopt a distorted octahedral coordination structure around the titanium atom and two oxygen atoms are situated in trans position while two nitrogen atoms and two outgoing ligands(Cl or iPrO) are situated in cis *** of activators(MMAO-12 and combinations Et_nAiCl_(3-n)+Bu_(2)Mg) and outgoing ligand(Cl or iPrO) nature on the catalytic activity and properti.s.of the resulting polymers was *** Ti complexes,despite the nature of the outgoing ligands(Cl or iPrO) in the presence of Al/Mg activators,was found to display a high ethylene polymerization activity in the range 1600-3830 kg_(polymer)·mol_(Ti)^(-1)·h^(-1)·atm^(-1) with a viscosity average molecular weight(M_v) value in the range 1.1×10~6-7.1×10~6 Dalton(Da).The resulting UHMWPE can be processed by a solventless method into high-strength and high-modulus oriented *** rheological characteristi.s.of a polymer melt have been *** absence of a cross-over point did not allow to compare the values of the molecular weight distribution of polymers obtained on fluorinated and non-fluorinated pre-catalysts,however,the estimation of the entanglement density is in good agreement with the mechanical characteristi.s.of oriented film *** activation with methylalumoxane,the activity of the com plexes decreased very significantly;however,a polymer with a molecular weight of about 12 million Da was *** the process of ethylene/octene-1 copolymerization,fluorine-containing precatalysts showed a clear advantage over non-fluorinated analogues both in activity and in comonomer content.

关键词： Fi catalysts Titanium(iV) (Co)polymerization Al/Mg co-catalyst Ultra-high molecular weight polyethylene