检索结果-南通市图书馆

Do natural resources impact economic growth:An investigation of P5+1 countries under sustainable management

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Geoscience Frontiers 2024年第3期15卷 192-208页

作者： Sanjeet Singh Gagan Deep Sharma Magdalena Radulescu Daniel Balsalobre-Lorente pooja Bansal University Centre for Research and Development Chandigarh UniversityGharuanMohaliPunjabIndia University School of Management Studies Guru Gobind Singh Indraprastha UniversityDwarkaDelhiIndia Department of Finance Accounting and EconomicsUniversity of PitestiPitesti 110040Romania Institute for Doctoral and Post-Doctoral Studies University“Lucian Blaga”SibiuSibiu 550024Romania Department of Applied Economics I University of Castilla-La ManchaSpain Department of Management Faculty of Economics and ManagementCzech University of Life Sciences PraguePrague 16500Czech Republic

Natural resources represent the base of our living and the entire economic *** depletion is a major challenge for the economic development of both developed and developing *** effi-cient use is an indispensable requirement and must be the aim of the public policies designed by the authorities *** this research,we have investigated the impact of the natural resources rent on the economic growth in some major wealthy economies of the world(P5+1 countries namely:US,UK,France,China,Russia,and Germany).We have applied a quantile-on-quantile regression to analyse this impact on different quantiles and a cross-sectional autoregressive distributed lag(CS-ARDL)approach for the panel of these six *** Dumitrescu-Hurlin panel causality test was also used to check the causality between natural resource rents and economic growth in these *** show a negative relationship between natural resources rent and economic growth for the panel but a different impact on quantiles in each *** for China and the US,a positive effect can be noticed for both lower and higher quantiles of natural resources and economic *** Dumitrescu-Hurlin causality test shows that natural resources can predict economic growth only in China,the U.S.,and the *** contrast,no causality was found for the other four countries included in the *** suggest that nations invest in wind and solar projects,use biofuels and nuclear energy,introduce a temporary profit tax to protect consumers from escalating energy prices,and increase energy efficiency in buildings and *** would benefit from a regulatory framework that is uniform and exhaustive,as well as easier to traverse and more receptive to innovation and ***-private partnership investments in innovation,innovation incentives,and environmental sector opportunities may foster long-term economic growth。

关键词： Natural resources rent Economic growth Quantile-on-quantile regression Cross-sectional ARDL P5+1 countries

Active and passive modulation of solar light transmittance in a uniquely multifunctional dual-band single molecule for smart window applications

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Energy Chemistry 2024年第1期88卷 293-305,I0007页

作者： pooja V.Chavan Pramod V.Rathod Joohyung Lee Sergei V.Kostjuk Hern Kim Department of Energy Science and Technology Environmental Waste Recycle InstituteMyongji UniversityYonginGyeonggi-do 17058Republic of Korea Department of Chemical Engineering Myongji UniversityYonginGyeonggi-do 17058Republic of Korea Research Institute for Physical Chemical Problems of the Belarusian State University MinskBelarus

Functional materials may change color by heat and electricity separately or simultaneously in smart *** materials have not only demonstrated remarkable potential in the modulation of solar radiation but are also leading to the development of indoor environments that are more comfortable and conducive to improving individuals'quality of ***,dual-responsive materials have not received ample research attention due to economic and technological *** a consequence,the broader utilization of smart windows faces *** address this new generational multistimulus responsive chromic materials,our group has adopted a developmental strategy to create a poly(NIPAM)n-HV as a switchable material by anchoring active viologen(HV)onto a phase-changing poly(NIPAM)n-based smart material for better utility and *** constructed smart windows facilitate individualistic reversible switching,from a highly transparent state to an opaque state(thermochromic)and a red state(electrochromic),as well as facilitate a simultaneous dual-stimuli response reversible switching from a clear transparent state to a fully opaque(thermochromic)and orange(electrochromic)*** privacy can be attained in smart windows designed for exclusive settings by achieving zero *** unique chromic mode operates independently and modulates visible and near-infrared(NIR)light in a distinct ***,these smart windows with thermal and electric dual-stimuli responsiveness demonstrate remarkable heat regulation capabilities,rendering them highly attractive for applications in building facades,energy harvesting,privacy protection,and color display.

关键词： Smart windows Thermochromism Electrochromism Energy saving Dual-responsive material

维普期刊数据库

Mapping COVID-19 in India:Southern states at the forefront of new JN.1 variant

在线全文

学校读者我要写书评

暂无评论

Asian Pacific Journal of Tropical Medicine 2024年第1期17卷 1-3页

作者： Rabin Debnath Arshdeep Singh Kushal Seni Anjali Sharma Viney Chawla pooja A Chawla Department of Pharmaceutical Chemistry ISF College of PharmacyG.T RoadGhal KalanMogaPunjab142001India Department of Pharmaceutical Analysis ISF College of PharmacyG.T RoadGhal KalanMogaPunjab142001India University Institute of Pharmaceutical Sciences and Research Baba Farid University of Health SciencesFaridkotPunjabIndia

A new variant,JN.1,stemming from the omicron subvariant BA.2.86,garnered the attention of the World Health Organization(WHO)as a"variant of interest."Despite its rapid global spread,especially in the US,Canada,France,Singapore,Sweden[1],and the UK,JN.1 is considered to pose minimal *** vaccinations are believed to remain effective against *** WHO underscores the importance of maintaining immunization records amid co-occurring respiratory illnesses,and epidemiologists recommend monitoring hospitalizations,particularly in areas with low vaccination rates.

关键词： Canada Mapping spite

Prediction of Geopolymer Concrete Compressive Strength Using Convolutional Neural Networks

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Modeling in Engineering & Sciences 2024年第5期139卷 1455-1486页

作者： Kolli Ramujee pooja Sadula Golla Madhu Sandeep Kautish Abdulaziz S.Almazyad Guojiang Xiong Ali Wagdy Mohamed Department of Civil Engineering VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadTelangana500090India Department of Information Technology VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadTelangana500090India Department of Computer Science LBEF Campus(Asia Pacific University of Technology&InnovationMalaysia)Kathmandu44600Nepal Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Guizhou Key Laboratory of Intelligent Technology in Power System College of Electrical EngineeringGuizhou UniversityGuiyang550025China Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmmanJordan

Geopolymer concrete emerges as a promising avenue for sustainable development and offers an effective solution to environmental *** attributes as a non-toxic,low-carbon,and economical substitute for conventional cement concrete,coupled with its elevated compressive strength and reduced shrinkage properties,position it as a pivotal material for diverse applications spanning from architectural structures to transportation *** this context,this study sets out the task of using machine learning(ML)algorithms to increase the accuracy and interpretability of predicting the compressive strength of geopolymer concrete in the civil engineering *** achieve this goal,a new approach using convolutional neural networks(CNNs)has been *** study focuses on creating a comprehensive dataset consisting of compositional and strength parameters of 162 geopolymer concrete mixes,all containing Class F fly *** selection of optimal input parameters is guided by two distinct *** first criterion leverages insights garnered from previous research on the influence of individual features on compressive *** second criterion scrutinizes the impact of these features within the model’s predictive *** to enhancing the CNN model’s performance is the meticulous determination of the optimal *** a systematic trial-and-error process,the study ascertains the ideal number of epochs for data division and the optimal value of k for k-fold cross-validation—a technique vital to the model’s *** model’s predictive prowess is rigorously assessed via a suite of performance metrics and comprehensive score ***,the model’s adaptability is gauged by integrating a secondary dataset into its predictive framework,facilitating a comparative evaluation against conventional prediction *** unravel the intricacies of the CNN model’s learning trajectory,a loss plot is deployed to elucidate its learning rat

关键词： Class F fly ash compressive strength geopolymer concrete prediction deep learning convolutional neural network

Recent progress in carbonaceous materials based Z-scheme and Sscheme heterojunctions for photocatalytic clean energy generation

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

新型炭材料(中英文) 2024年

作者： Sahil Rana Amit Kumar Wang Tong-tong Gaurav Sharma pooja Dhiman Alberto García-Penas Interdisciplinary and Innovate Research Xi'an University of Architecture and Technology Departamento de Ciencia e Ingeniería de Materiales e Ingeniería Química (IAAB) Universidad Carlos III de Madrid International Research Centre of Nanotechnology for Himalayan Sustainability (IRCNHS) Shoolini University

Carbonaceous materials including carbon nanotubes/nanofibers, graphene, graphene oxide, reduced graphene oxide,graphyne, graphdiyne, carbon quantum dots and fullerenes have gained considerable attention in the recent years for their unique properties such as high conductivity, excellent stability and biocompatibility. The integration of these carbonaceous materials into Zscheme and S-scheme heterojunctions has emerged as a transformative strategy to enhance the photocatalytic efficiency for energy conversion applications. This review delves into the fundamental principles of clean energy generation such as photocatalytic H2generation and CO2reduction, elucidating their respective mechanisms and advantages. Furthermore, various types of carbonaceous materials, their synthesis and construction of Z-scheme and S-scheme heterojunctions are discussed emphasizing their role in promoting charge separation, reducing recombination losses and extending the spectral response range. With the focus on solar fuel production,the recent advancements in carbonaceous based Z-scheme and S-scheme heterojunctions are discussed and summarized for photocatalytic H2generation and CO2reduction. Lastly, the current bottlenecks and challenges in the field of carbonaceous based photocatalysts are discussed with the valuable insights for future development in this particular field.

关键词：

石墨炔:一种用于合成水污染物有效吸附剂的新型炭材料

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

新型炭材料（中英文） 2024年第2期39卷 173-200页

作者： Gaurav Sharma Yaksha Verma Amit Kumar pooja Dhiman WANG Tong-tong Florian JStadler 深圳大学材料科学与工程学院深圳市高分子科学与技术重点实验室广东省功能材料界面工程研究中心南山区生物高分子与安全性评价重点实验室广东深圳518055 International Research Centre of Nanotechnology for Himalayan Sustainability(IRCNHS) Shoolini UniversityHimachal Pradesh 173229India 西安建筑科技大学跨学科与创新研究院陕西西安710055

石墨炔(GDY)是一种新生的二维材料,其在去除水溶液中污染物的研究方面引起了广泛关注。GDY是sp和sp2杂化碳原子的框架,其在二维对称网络中存在苯环和二乙基键,因此具有优异的共轭性、独特的可调谐电子性能、以及优异的化学和热稳定性。... 详细信息

石墨炔(GDY)是一种新生的二维材料,其在去除水溶液中污染物的研究方面引起了广泛关注。GDY是sp和sp2杂化碳原子的框架,其在二维对称网络中存在苯环和二乙基键,因此具有优异的共轭性、独特的可调谐电子性能、以及优异的化学和热稳定性。GDY的分子中有C≡C键,且具有均匀分布的三角形孔,可提供更多的反应位点和多种反应路径。因而,GDY具有吸附性,其作为吸附剂时在去除污染水中的油、有机污染物、染料和金属方面表现优异。在已发表的文献中,GDY被用作吸附剂的报道十分有限。本文综述了GDY的合成方法、GDY作为吸附剂的应用以及GDY基吸附剂的表征,并展望了GDY在污染物修复中的应用前景。

关键词：石墨炔合成吸附污染物合理机制

维普期刊数据库

碳基材料的Z型和S型异质结光催化清洁能源综述

在线全文

学校读者我要写书评

暂无评论

新型炭材料（中英文） 2024年第3期39卷 458-482页

作者： Sahil Rana Amit Kumar WANG Tong-tong Gaurav Sharma pooja Dhiman Alberto García-Penas International Research Centre of Nanotechnology for Himalayan Sustainability(IRCNHS) Shoolini UniversitySolan173229India 西安建筑科技大学交叉创新研究院西安710055 Departamento de Ciencia e Ingeniería de Materiales e Ingeniería Química(IAAB) Universidad Carlos Ⅲ de MadridLegan'es28911Spain

碳纳米管/纳米纤维、石墨烯、氧化石墨烯、还原氧化石墨烯、石墨炔、碳量子点和富勒烯等炭材料因具有高导电性、优异的稳定性和生物相容性等独特性能,近年来受到广泛关注。在炭材料中构建Z型和S型异质结已成为在能量转换应用中提高光催... 详细信息

碳纳米管/纳米纤维、石墨烯、氧化石墨烯、还原氧化石墨烯、石墨炔、碳量子点和富勒烯等炭材料因具有高导电性、优异的稳定性和生物相容性等独特性能,近年来受到广泛关注。在炭材料中构建Z型和S型异质结已成为在能量转换应用中提高光催化效率的一种有效策略。本文综述了光催化制氢和CO_(2)还原等清洁能源的基本原理,阐述了它们各自的机理和优势。此外,还讨论了不同类型的炭材料以及其中Z型和S型异质结的合成和构建,强调了它们在促进电荷分离、减少光生载流子复合损失和扩大光谱响应范围方面的作用。以太阳能燃料生产为重点,讨论和总结了碳基Z型和S型异质结在光催化制氢和还原CO_(2)方面的最新进展。最后,讨论了目前碳基光催化剂领域的瓶颈和挑战,并对该领域的未来发展提出了有价值的见解。

关键词：炭材料异质结 Z型 S型光催化氢能材料

维普期刊数据库

Navigating emotional challenges:A journey with patients undergoing chemotherapy

在线全文

学校读者我要写书评

暂无评论

World Journal of Clinical Oncology 2024年第9期15卷 1132-1135页

作者： Nisha Mani Pandey pooja Ramakant Department of Geriatric Mental Health King George's Medical UniversityLucknow 226003India Department of Endocrine Surgery King Georges Medical UniversityLucknow 226003India

A recent article reported that cancer patients with subthreshold depression are more likely to develop major depression within a *** regression analysis revealed that regular exercise was a protective factor against cancerrelated fatigue,whereas advanced age,radiotherapy,pain,and low hemoglobin were risk factors for cancer-related fatigue.A limitation of this study was the lack of methodological details about leukemia patients receiving depressive treatment at a specific *** assessment,behavioral modification plans,communication,destressing techniques,and educational plans may help chemotherapy patients manage emotional issues and reduce ***,these strategies can inspire patients to create,facilitate their treatment,and help them to remain healthy.

关键词： Leukemia patients Cancer patients Emotional distress Subthreshold depression Chemotherapy

To Analyze the Sensitivity of RT-PCR Assays Employing S Gene Target Failure with Whole Genome Sequencing Data during Third Wave by SARS-CoV-2 Omicron Variant

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Advances in Microbiology 2024年第5期14卷 247-255页

作者： pooja Patel Yogita Mistry Monika Patel Summaiya Mullan Viral Research and Diagnostic Laboratory Department of Microbiology Government Medical college Surat India

Introduction: Omicron is a highly divergent variant of concern (VOCs) of a severe acute respiratory syndrome SARS-CoV-2. It carries a high number of mutations in its spike protein hence;it is more transmissible in the community by immune evasion mechanisms. Due to mutation within S gene, most Omicron variants have reported S gene target failure (SGTF) with some commercially available PCR kits. Such diagnostic features can be used as markers to screen Omicron. However, Whole Genome Sequencing (WGS) is the only gold standard approach to confirm novel microorganisms at genetically level as similar mutations can also be found in other variants that are circulating at low frequencies worldwide. This Retrospective study is aimed to assess RT-PCR sensitivity in the detection of S gene target failure in comparison with whole genome sequencing to detect variants of Omicron. Methods: We have analysed retrospective data of SARS-CoV-2 positive RT-PCR samples for S gene target failure (SGTF) with TaqPath COVID-19 RT-PCR Combo Kit (ThermoFisher) and combined with sequencing technologies to study the emerged pattern of SARS-CoV-2 variants during third wave at the tertiary care centre, Surat. Results: From the first day of December 2021 till the end of February 2022, a total of 321,803 diagnostic RT-PCR tests for SARS-CoV-2 were performed, of which 20,566 positive cases were reported at our tertiary care centre with an average cumulative positivity of 6.39% over a period of three months. In the month of December 21 samples characterized by the SGTF (70/129) were suggestive of being infected by the Omicron variant and identified as Omicron (B.1.1.529 lineage) when sequence. In the month of January, we analysed a subset of samples (n = 618) with SGTF (24%) and without SGTF (76%) with Ct values Conclusions: During the COVID-19 pandemic, it took almost more than 15 days to diagnose infection and identify pathogen by sequencing technology. In contrast to that molecular assay provided qu

关键词： SARS-CoV-2 S Gene Target Failure Whole Genome Sequencing Omicron