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Radiative capture of proton through the ^(14)N(p,γ)^(15)O reaction at low energy

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Chinese Physics C 2024年第4期48卷 183-192页

作者： B.F.Irgaziev Abdul Kabir Jameel-Un Nabi National University of Uzbekistan Tashkent 100174Uzbekistan Space and Astrophysics Research lab National Centre of GIS and Space ApplicationsDepartment of Space ScienceInstitute of Space TechnologyIslamabad 44000Pakistan University of Wah Quaid AvenueWah Cantt 47040PunjabPakistan

The CNO cycle is the main source of energy in stars more massive than our *** process defines the energy production,the duration of which can be used to determine the lifetime of massive *** cycle is an important tool for determining the age of globular *** proton capture via p+^(14)N→^(15)O+γ,at energies of astrophysical interest,is an important process in the CNO *** this project,we apply a potential model to describe both non-resonant and resonant reactions in the channels where radiative capture occurs through electric E1 *** employed the R-matrix method to describe the ongoing reactions via M1 resonant transitions,when it was not possible to correctly reproduce the experimental data using the potential *** partial components of the astrophysical S-factor are calculated for all possible electric and magnetic dipole transitions in ^(15)*** linear extrapolated S-factor at zero energy(S(0))agrees well with earlier reported values for all transition types considered in this *** on the value of the total astrophysical S-factor,depending on the collision energy,we calculate the nuclear reaction rates for p+^(14)N→^(15)O+γ.The computed rates agree well with the results reported in the NACRE II Collaboration and most recent existing measurements.

关键词： CNO cycle potential model R-matrix method cross-section astrophysical S-factor nuclear rates.

Transformer-Based Cloud Detection Method for High-Resolution Remote Sensing Imagery

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Computers, Materials & Continua 2024年第7期80卷 661-678页

作者： Haotang Tan Song Sun Tian Cheng Xiyuan Shu Key Laboratory of gis Application Research School of Geography and TourismChongqing Normal UniversityChongqing401331China College of Computer and Information Science Chongqing Normal UniversityChongqing401331China department of Military Installations Army Logistics AcademyChongqing401331China

Cloud detection from satellite and drone imagery is crucial for applications such as weather forecasting and *** the limitations of conventional convolutional neural networks,we propose an innovative transformer-based *** method leverages transformers,which are adept at processing data sequences,to enhance cloud detection ***,we introduce a Cyclic Refinement Architecture that improves the resolution and quality of feature extraction,thereby aiding in the retention of critical details often lost during cloud *** extensive experimental validation shows that our approach significantly outperforms established models,excelling in high-resolution feature extraction and precise cloud *** integrating Positional Visual Transformers(PVT)with this architecture,our method advances high-resolution feature delineation and segmentation ***,our research offers a novel perspective for surmounting traditional challenges in cloud detection and contributes to the advancement of precise and dependable image analysis across various domains.

关键词： Cloud transformer image segmentation remotely sensed imagery pyramid vision transformer

Acceleration of solar wind particles due to inertial Alfvén waves

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Communications in Theoretical Physics 2024年第6期76卷 137-141页

作者： Kiran Batool Imran A Khan M Shamir Abdul Kabir S Ayaz Theoretical Physics department National Centre for PhysicsIslamabad 44000Pakistan department of Space Sciences Institute of Space TechnologyIslamabad 44000Pakistan Space and Astrophysics Research Lab(SARL) National Center of GIS and Space Applications(NCGSA)Islamabad 44000Pakistan Salam Chair Department of PhysicsGC University LahoreKatchery RoadLahorePunjab 54000Pakistan department of Space Science and CSPAR University of Alabama in HuntsvilleHuntsvilleAL 35899United States of America

Gaining an understanding of the effects and dynamics of the solar wind is crucial for the study of space weather,Earth's magnetosphere,spacecraft protection,the dynamics of the Solar System,and various other *** show that Alfvén waves effectively transfer energy to resonant *** study demonstrates how inertial Alfvén waves deliver their energy to resonant plasma particles in different solar environments under certain *** analysis shows that inertial Alfvén waves experience more rapid damping with increasing parallel wavenumber,ambient magnetic field strength,and particle number density,coupled with a decrease in *** rate of energy transfer to resonant particles intensifies with higher temperatures and reduced parallel wavenumber and particle number *** with higher initial velocities actively participate in Landau damping,especially in regions with a stronger ambient magnetic field.

关键词： solar wind inertial Alfven waves resonant particles

Seismic vulnerability assessment of urban buildings using the rough set theory and weighted linear combination

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Journal of Mountain Science 2022年第3期19卷 849-861页

作者： Yasaman ASADI Najmeh NEYSANI SAMANY Majid KIAVARZ MOQADAM Ata ABDOLLAHI KAKROODI Meysam ARGANY department of Remote Sensing and gis Faculty of GeographyUniversity TehranTehran 33137-67464Iran

Seismic vulnerability assessment of urban buildings is among the most crucial procedures to post-disaster response and recovery of infrastructure *** present study proceeds to estimate the seismic vulnerability of urban buildings and proposes a new framework training on the two ***,a comprehensive interpretation of the effective parameters of this phenomenon including physical and human factors is ***,the Rough Set theory is used to reduce the integration uncertainties,as there are numerous quantitative and qualitative *** objectives were conducted on seven distinct earthquake scenarios with different intensities based on distance from the fault line and the *** proposed method was implemented by measuring seismic vulnerability for the seven specified seismic *** final results indicated that among the entire studied buildings,71.5%were highly vulnerable as concerning the highest earthquake scenario(intensity=7 MM and acceleration calculated based on the epicenter),while in the lowest earthquake scenario(intensity=5 MM),the percentage of vulnerable buildings decreased to approximately 57%.Also,the findings proved that the distance from the fault line rather than the earthquake center(epicenter)has a significant effect on the seismic vulnerability of urban *** model was evaluated by comparing the results with the weighted linear combination(WLC)*** accuracy of the proposed model was substantiated according to evaluation *** assessment based on the distance from the epicenter and its comparison with the distance from the fault shows significant reliable results.

关键词： Seismic vulnerability Urban buildings Rough set theory Earthquake scenarios WLC

Urban restaurants and online food delivery during the COVID-19 pandemic:a spatial and socio-demographic analysis

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International Journal of Digital Earth 2023年第1期16卷 1725-1751页

作者： Bakhtiar Feizizadeh Davoud Omrazadeh Mohammad Ghasemi Samaneh Bageri Tobia Lakes Robert Kitzmann Abolfazl Ghanbari Thomas Blaschke department of Remote Sensing and gis University of TabrizTabrizIran department of Geography Humboldt-Universität zu BerlinBerlinGermany IN3 Universitat Oberta de CatalunyaBarcelonaSpain department of Geoinformatics-Z_gis University of SalzburgSalzburgAustria

In this research,we analyzed the delivery service areas of restaurants,customer satisfaction,and restaurant sales of urban restaurants during the COVID-19 *** obtained the datasets on food ordering options and restaurant rankings based on Google Maps,Open Street Map,and widely known online food order applications in *** on this analysis we further modeled suitable areas for future extension of *** analyzed the online food order data of restaurants’sales and food delivery reports for 1050 restaurants in the city of *** collected and analyzed data on the restaurant locations,the number of food orders for each restaurant,and the number of customers and their *** results revealed that the spatial dimension of the newly emerging food delivery areas is of utmost importance for the success of *** indicates that an optimal location is not longer only dependent on factors like population density and competitors in the direct vicinity but on the services density even from more distant *** results indicate that an optimized spatial distribution of the restaurants together with efficient quality in services can contribute to optimistic urban development.

关键词： Urban restaurant services area mapping success factors customer satisfaction COVID-19 spatial analysis

Impact of neighborhood features on housing resale prices in Zhuhai (China) based on an (M)GWR model

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Big Earth Data 2023年第1期7卷 146-169页

作者： Nianhua Liu Josef Strobl Interfaculty department of Geoinformatics-Z_gis University of SalzburgSalzburgAustria department of Geoinformatics PalackýUniversity OlomoucOlomoucCzech Republic

The paper aims at exploring the relationship between housing resale prices and neighborhood features in Zhuhai,as well as structure and location *** neighborhood features are collected to analyze their influence on average community-level apartment resale prices in *** neighbor-hood features,structural and location characteristics,are selected according to their statistical significance and multi-collinearity test results from an OLS *** analysis is performed by OLS,GWR,and MGWR to compare their per-formance in housing price research at community *** comparison of the three models also demonstrates that the GWR(66%)and MGWR(68%)models perform much better than OLS model(52%).MGWR is not significantly different from GWR in areas with few sample points,and the optimal bandwidth at different spatial scales is hard to be captured in a city-level study *** regression parameter indicates that building age is the most important factor among all influen-cing *** to schools and factories have positive and negative significant effects on housing resale prices,*** spatial pattern of neighborhood features is also detected at town *** and MGWR models accurately demonstrate local spatial heterogeneity of the housing resale market,which provides better results than the traditional OLS model in the goodness of fit and parameter estimates when spatial dependency is *** results provide references for local planning departments,helping to reveal the compli-cated relationship and spatial patterns between housing price and determinants over space.

关键词： Housing resale price neighborhood features ordinary least squares multiscale geographically weighted regression

Location of Disaster Management Bases Using Spatial Analysis

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Journal of Systems Science and Systems Engineering 2024年第1期33卷 1-29页

作者： Hadi Nayyeri Sahar Zandi Mahmood Souri department of Geomorphology Faculty of Natural ResourceUniversity of KurdistanSanandajKurdistanIran department of Geography Sciences Kharazmi UniversityTehranIran Red Crescent Society of the Islamic Republic Employee of Iran HamedanIran

Pre-crisis management involves the optimal selection of relief and rescue centers to minimize *** is particularly vulnerable due to its location on the Alpine-Himalaya seismic belt,resulting in an average death rate six times higher than the global average during ***,selecting appropriate relief and rescue centers is crucial to Iran’s disaster *** selecting the placement of rescue centers,accessibility and the appropriateness of the land should be taken into account as well as the distance from high-risk *** location of these centers does not require any particular *** address this issue,a study was conducted utilizing gis,artificial neural networks,fuzzy logic,and mathematical models to determine the optimal placement based on 12 indicators within two clusters:natural and *** examine the information layers of the initial stage,a spatial data repository concerning the variables impacting the placement of these centers was established using *** functions and algorithms such as Fuzzy Logic in IDRISI,TOPSIS,and VIKOR software,the layers were assessed for weightage before being *** study’s analysis of the models used revealed that the positioning priority limits of the areas differed across all four ***,the areas with high desirability varied to a greater extent:the fuzzy model varied by 9.3%,neural network by 12.4%,VIKOR by 4.5%,and TOPSIS by 16.2%.The variance in results can be attributed to the differing levels of risk acceptance and non-acceptance in each ***,the study yielded other significant findings such as the correlation between study area size and model ***,smaller study areas exhibited higher model *** research also demonstrated that both fuzzy and VIKOR models achieved greater *** a result,employing these models in crisis management planning,particularly in pre-crisis management for identifying rescue center lo

关键词： Crisis management gis earthquake risk site selection

Garg incontinence scores: New scoring system on the horizon to evaluate fecal incontinence. Will it make a difference?

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World Journal of Gastroenterology 2024年第3期30卷 204-210页

作者： Petr Tsarkov Inna Tulina Parvez Sheikh Darya D Shlyk Pankaj Garg department of Colorectal Surgery Sechenov First Moscow State Medical UniversityMoscow 119991Russia department of Oncologic Colorectal Surgery Sechenov First Moscow State Medical UniversityMoscow 119991Russia department of Colorectal Surgery Saifee HospitalMumbai 400004MaharashtraIndia department of Colorectal Surgery Garg Fistula Research InstitutePanchkula 134113HaryanaIndia

The main aim of this opinion review is to comment on the recent article published by Garg et al in the World Journal of Gastroenterology 2023;29:4593–*** authors in the published article developed a new scoring system,Garg incon-tinence scores(gis),for fecal incontinence(FI).FI is a chronic debilitating disease that has a severe negative impact on the quality of life of the *** IV criteria define FI as multiple episodes of solid or liquid stool passed into the clothes at least twice a *** associated social stigmatization often leads to significant under-reporting of the condition,which further impairs *** important point is that the complexity and vagueness of the disease make it difficult for the patients to properly define and report the magnitude of the problem to their *** to this,the management becomes even more *** issue is resolved up to a considerable extent by a scoring *** were several scoring systems in use for the last three *** prominent of them were the Cleveland Clinic scoring system or the Wexner scoring system,*** Hospital or Vaizey’s scores,and the FI severity ***,there were several shortcomings in these scoring *** the opinion review,we tried to analyze the strength of gis and compare it to the existing scoring *** main pitfalls in the existing scoring systems were that most of them gave equal weightage to different types of FI(solid,liquid,flatus,etc.),were not comprehensive,and took only the surgeon’s perception of FI into *** gis,almost all shortcomings of previous scoring systems had been addressed:different weights were assigned to different types of FI by a robust statistical methodology;the scoring system was made comprehensive by including all types of FI that were previously omitted(urge,stress and mucus FI)and gave priority to patients’rather than the physicians’perceptions while developing the scoring *** to this,gis in

关键词： Fecal incontinence Scoring system Urge Stress Flatus

Innovative Analysis Ready Data(ARD)product and process requirements,software system design,algorithms and implementation at the midstream as necessary-but-notsuffcient precondition of the downstream in a new notion of Space Economy 4.0-Part 1:Problem background in Artificial General Intelligence(AGI)

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Big Earth Data 2023年第3期7卷 455-693页

作者： Andrea Baraldi Luca D.Sapia Dirk Tiede Martin Sudmanns Hannah L.Augustin Stefan Lang Spatial Services GmbH SalzburgAustria CGI Italy FrascatiItaly department of Geoinformatics-Z_gis University of SalzburgSalzburgAustria

Aiming at the convergence between Earth observation(EO)Big Data and Artificial General Intelligence(AGI),this two-part paper identifies an innovative,but realistic EO optical sensory imagederived semantics-enriched Analysis Ready Data(ARD)productpair and process gold standard as linchpin for success of a new notion of Space Economy *** be implemented in operational mode at the space segment and/or midstream segment by both public and private EO big data providers,it is regarded as necessarybut-not-sufficient“horizontal”(enabling)precondition for:(I)Transforming existing EO big raster-based data cubes at the midstream segment,typically affected by the so-called data-rich information-poor syndrome,into a new generation of semanticsenabled EO big raster-based numerical data and vector-based categorical(symbolic,semi-symbolic or subsymbolic)information cube management systems,eligible for semantic content-based image retrieval and semantics-enabled information/knowledge discovery.(II)Boosting the downstream segment in the development of an ever-increasing ensemble of“vertical”(deep and narrow,user-specific and domain-dependent)value–adding information products and services,suitable for a potentially huge worldwide market of institutional and private end-users of space *** the sake of readability,this paper consists of two *** the present Part 1,first,background notions in the remote sensing metascience domain are critically revised for harmonization across the multidisciplinary domain of cognitive *** short,keyword“information”is disambiguated into the two complementary notions of quantitative/unequivocal information-as-thing and qualitative/equivocal/inherently ill-posed ***,buzzword“artificial intelligence”is disambiguated into the two better-constrained notions of Artificial Narrow Intelligence as part-without-inheritance-of ***,based on a betterdefined and better-understood vocabulary of multid

关键词： Artificial Narrow Intelligence big data cognitive science computer vision Earth observation essential climate variables Global Earth Observation System of(component)Systems inductive/deductive/hybrid inference Scene Classification Map Space Economy 4.0 radiometric corrections of optical imagery from atmospheric,topographic,adjacency and bidirectional reflectance distribution function effects semantic content-based image retrieval 2D spatial topology-preserving/retinotopic image mapping world ontology(synonym for conceptual/mental/perceptual model of the world)