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Articles 10441 - 10470 of 302421

Full-Text Articles in Physical Sciences and Mathematics

Scientific And Technological Innovation And Cooperation Support High-Quality Development Of The Belt And Road Initiative, Chunli Bai Sep 2023

Scientific And Technological Innovation And Cooperation Support High-Quality Development Of The Belt And Road Initiative, Chunli Bai

Bulletin of Chinese Academy of Sciences (Chinese Version)

The Belt and Road Initiative has become a popular international public goods and international cooperation platform in the past decade since it was firstly proposed in 2013. China and the Belt and Road participating countries and regions have made considerable progress in scientific and technological cooperation, including carrying out scientific and technological cooperation actions and plans, building international scientific organizations and science and education cooperation centers, providing talent training platforms, etc. Nevertheless, in the new era, the Belt and Road faces many challenges such as the unpredictable external environment, the incomplete top-level design and mechanism, the insufficient depth of scientific …

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Research On Science And Technology Cooperation Pattern Of The Belt And Road Initiative, Weidong Liu, Jing Li, Guohua Xiao, Zhouying Song, Jiansheng Qu, Yafeng Wang, Fahu Chen Sep 2023

Research On Science And Technology Cooperation Pattern Of The Belt And Road Initiative, Weidong Liu, Jing Li, Guohua Xiao, Zhouying Song, Jiansheng Qu, Yafeng Wang, Fahu Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

Science and technology cooperation has become an important driving force for the high-quality development of the Belt and Road Initiative (BRI). This study intends to explore how international science and technology cooperation can empower the highquality development of the BRI co-construction. By sorting out the practice of science and technology cooperation in boosting the development of the Belt and Road countries and regions since the raise of BRI, and analyzing the problems and challenges encountered, countermeasures and suggestions for the new era are finally proposed in this study.

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Building The Health Silk Road Within The Belt And Road Initiative From A Systematic View, Shouyang Wang, Qin Bao, Qi Zhang Sep 2023

Building The Health Silk Road Within The Belt And Road Initiative From A Systematic View, Shouyang Wang, Qin Bao, Qi Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Life and health are common challenges faced by mankind, and the building of the Health Silk Road is the fundamental content of the high-quality development of the Belt and Road Initiative. There are great differences in the level of economic and social development of the countries and regions along the Belt and Road. Under the increasingly complex and severe global biosecurity situation, scientific guidance from a systematic perspective is required for comprehensively improving the medical and health conditions and life and health quality of different countries and regions. Aiming at the challenges faced by the building of the Health Silk …

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Belt And Road Science & Technology Cooperation: Current Situation, Challenges And Development Directions, Hongyan He, Shuxian Wu, Jiayu Xin, Hui Zhao, Yanlei Wang, Dongxia Yan, Linglong Shan, Xin Wang, Yuliang Zhao Sep 2023

Belt And Road Science & Technology Cooperation: Current Situation, Challenges And Development Directions, Hongyan He, Shuxian Wu, Jiayu Xin, Hui Zhao, Yanlei Wang, Dongxia Yan, Linglong Shan, Xin Wang, Yuliang Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Since the Belt and Road Initiative was put forward, China has actively engaged in innovation cooperation with coconstruction countries and regions, and has made gratifying achievements in basic scientific research, technology transfer and transformation, the cooperation network and platform base construction. At present, new changes and situations in the political and economic landscape worldwide have put forward higher requirements for the construction of the Belt and Road Initiative. Therefore, high-quality joint construction of Belt and Road needs to sum up the experience and identify areas of cooperation. In this context, the study summarizes the current situation and main challenges of …

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Cultivation Of Scientific And Technological Innovation Talents For The Belt And Road Initiative: China’S Advantages, Challenges And Critical Paths, Jin Qin, Shixin Tan, Yizhu Shen, Liuzhu Gong, Jianxun Chu, Liangchen Fan, Xinhe Bao Sep 2023

Cultivation Of Scientific And Technological Innovation Talents For The Belt And Road Initiative: China’S Advantages, Challenges And Critical Paths, Jin Qin, Shixin Tan, Yizhu Shen, Liuzhu Gong, Jianxun Chu, Liangchen Fan, Xinhe Bao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Scientific and technological talents are critical resources to China and the Belt and Road Initiative (BRI). Although China is the most favorable destination country for overseas students in Asia, it is facing increasing global competition for talents, especially from the developed countries that have introduced policies to attract international students and scientific and technological innovation talents, China highly needs to figure out how to attract more high-quality foreign students and talents, and how to cultivate more innovation talents to serve the Belt and Road development. This study first evaluates science and education rankings of the Belt and Road countries and …

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Case Study And Recommendations On Technological Collaboration In Supporting Development Of Qinghai-Tibet Plateau Under The Belt And Road Initiative, Xiaowei Nie, Xiaoduo Pan, Zhuoying Zhang, Yang Yang, Yang Yang, Xinyu Gong Sep 2023

Case Study And Recommendations On Technological Collaboration In Supporting Development Of Qinghai-Tibet Plateau Under The Belt And Road Initiative, Xiaowei Nie, Xiaoduo Pan, Zhuoying Zhang, Yang Yang, Yang Yang, Xinyu Gong

Bulletin of Chinese Academy of Sciences (Chinese Version)

The Belt and Road Initiative has played an important role in promoting the construction of a community with a shared future for mankind and actively integrated into the global governance system over the past decade. At the same time, through scientific and technological cooperation, it has also significantly impacted domestic regional development. The Tibetan Plateau, known as the “Third Pole” of the Earth, is not only an important internationalized region but also a crucial component of the Belt and Road Initiative, offering opportunities to establish a South Asian land corridor. This study analyzes and summarizes the role of scientific and …

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Climate Technology Demand Assessment For Participating Countries In Belt And Road Initiative And Policy Recommendations For Promoting South-South Technology Cooperation, Minpeng Chen, Qiang Liu, Meixun Gao, Fei Teng Sep 2023

Climate Technology Demand Assessment For Participating Countries In Belt And Road Initiative And Policy Recommendations For Promoting South-South Technology Cooperation, Minpeng Chen, Qiang Liu, Meixun Gao, Fei Teng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Belt and Road countries and regions have increasingly recognized the urgent need for climate mitigation and adaptation in order to achieve the Paris Agreement and the Sustainable Development Goals (SDGs). Transferring and disseminating climate technologies are effective ways in which developing countries in the region can enhance their capacity to address the challenges of climate change. This study assesses the characteristics of climate change technology needed in Belt and Road countries and regions, based on the United Nations Framework Convention on Climate Change's Technology Needs Assessment (TNA) report as well as the Cooperative Patent Classification (CPC) system. It identifies and …

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Research On Low-Carbon Transition Pathways And Suggestions For Climate Cooperation Of Bri Countries, Kaiwe Zhu, Xianchun Tan, Baihe Gu, Jianping Zhang, Lingsi Kong Sep 2023

Research On Low-Carbon Transition Pathways And Suggestions For Climate Cooperation Of Bri Countries, Kaiwe Zhu, Xianchun Tan, Baihe Gu, Jianping Zhang, Lingsi Kong

Bulletin of Chinese Academy of Sciences (Chinese Version)

Climate cooperation among Belt and Road Initiative (BRI) countries holds significant practical importance for achieving low-carbon transition and sustainable development within the BRI framework. To analyze the pathway towards low-carbon transition under different representative concentration pathway (RCP) scenarios and emission quota allocation methods, the CGEM-BRI model was developed. The study also examined the potential requirements for climate finance, capacity building, and management system. Based on these findings, recommendations for climate cooperation between China and BRI countries were formulated. The study revealed that in order to limit global temperature rise for 1.5℃ in 2100, renewable energy sources should account for a …

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Experiences And Enlightenment Of International Cooperation On Climate Change For Bri Partners, Jianping Zhang, Xu Zhang Sep 2023

Experiences And Enlightenment Of International Cooperation On Climate Change For Bri Partners, Jianping Zhang, Xu Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The Belt and Road region has different resource endowments and diverse climates. Low-carbon and sustainable economic development is the objective need for the high-quality Green Silk Road, and it is also the key to the global actions and practices on climate change. China and BRI partners have carried out in-depth cooperation on low-carbon infrastructure, cleaner energy, climate disaster warning and forecasting, climate finance, low-carbon technology, and other key development fields in a win-win solution. Further, by drawing on the valuable experiences of developed countries in international cooperation on climate, the others have explored a new path for future international cooperation …

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U.S. Parents' Intentions To Use Anti-Bullying Apps: Insights From A Comprehensive Model, Brittany Wheeler, Katie Baumel, Deborah Hall, Yasin Silva Sep 2023

U.S. Parents' Intentions To Use Anti-Bullying Apps: Insights From A Comprehensive Model, Brittany Wheeler, Katie Baumel, Deborah Hall, Yasin Silva

Computer Science: Faculty Publications and Other Works

Cyberbullying has become a prominent risk for youth and an increasing concern for parents. To help parents reduce their child's cyberbullying risk, anti-bullying apps (ABAs)—mobile applications for identifying and preventing instances of cyberbullying—have been developed in recent years. Given that ABAs are an emerging technology, limited research has been conducted to understand the factors predicting parents' intentions to use them. Drawing on three interdisciplinary theoretical frameworks, a sample of parents in the U.S. recruited through Amazon Mechanical Turk completed an online survey to assess parents' knowledge of, attitudes about, and intentions to use ABAs. Participants also rated the importance of …

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Molecular And Physical Composition Of Tar Balls In Wildfire Smoke: An Investigation With Complementary Ionisation Methods And 15-Tesla Ft-Icr Mass Spectrometry, Amna Ijaz, William Kew, Zezhen Cheng, Susan Mathai, Nurun Nahar Lata, Libor Kovarik, Simeon Schum, Swarup China, Lynn Mazzoleni Sep 2023

Molecular And Physical Composition Of Tar Balls In Wildfire Smoke: An Investigation With Complementary Ionisation Methods And 15-Tesla Ft-Icr Mass Spectrometry, Amna Ijaz, William Kew, Zezhen Cheng, Susan Mathai, Nurun Nahar Lata, Libor Kovarik, Simeon Schum, Swarup China, Lynn Mazzoleni

Michigan Tech Publications, Part 2

Tar balls (TBs) are a major carbonaceous product of wildfires and other biomass-burning events that often exceed soot or other elemental forms of carbon in number and mass. Being a recalcitrant fraction of organic carbon, TBs are capable of long-range atmospheric transport, and thus, exert influence not only in the vicinity of wildfires but also in remote regions. Here, we characterised ambient atmospheric aerosol samples with varying TB number fractions collected downwind of Pacific Northwest wildfires using a 15-Tesla Fourier transform-ion cyclotron resonance mass spectrometer (15-T FT-ICR MS). Relative to non-TB aerosol, we found 2006 and 851 molecular formulae exclusively …

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Nonparametric Methods For Analysis And Sizing Of Cluster Randomization Trials With Baseline Measurements, Chengchun Yu Sep 2023

Nonparametric Methods For Analysis And Sizing Of Cluster Randomization Trials With Baseline Measurements, Chengchun Yu

Electronic Thesis and Dissertation Repository

Cluster randomization trials are popular in situations where the intervention needs to be implemented at the cluster level, or logistical, financial and/or ethical reason dictates the choice for randomization at the cluster level, or minimization of contamination is needed. It is very common for cluster trials to take measurements before randomization and again at follow-up, resulting in a clustered pretest-posttest design. For continuous outcomes, the cluster-adjusted analysis of covariance approach can be used to adjust for accidental bias and improve efficiency. However, a direct application of this method is nonsensical if the measures are incompatible with an interval scale, yet …

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Measurement Of The Dependence Of The Hadron Production Fraction Ratios F S/F U And F D/F U On B Meson Kinematic Variables In Proton-Proton Collisions At √S=13 Tev, A. Tumasyan Sep 2023

Measurement Of The Dependence Of The Hadron Production Fraction Ratios F S/F U And F D/F U On B Meson Kinematic Variables In Proton-Proton Collisions At √S=13 Tev, A. Tumasyan

Department of Physics and Astronomy: Faculty Publications

The dependence of the ratio between the B0s and B+ hadron production fractions, fs/fu, on the transverse momentum (pT) and rapidity of the B mesons is studied using the decay channels B0s → J/ψϕ and B+ → J/ψK+. The analysis uses a data sample of proton-proton collisions at a center-of-mass energy of 13 TeV, collected by the CMS experiment in 2018 and corresponding to an integrated luminosity of 61.6 fb−1. The fs/fu ratio is observed to depend on the B …

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Mass-Selected Ion–Molecule Cluster Beam Apparatus For Ultrafast Photofragmentation Studies, Xiaojun Wang, Mahmudul Hasan, Lin Fan, Yibo Wang, Hui Li, Daniel S. Slaughter, Martin Centurion Sep 2023

Mass-Selected Ion–Molecule Cluster Beam Apparatus For Ultrafast Photofragmentation Studies, Xiaojun Wang, Mahmudul Hasan, Lin Fan, Yibo Wang, Hui Li, Daniel S. Slaughter, Martin Centurion

Department of Physics and Astronomy: Faculty Publications

We describe an apparatus for investigating the excited-state dissociation dynamics of mass-selected ion–molecule clusters by mass-resolving and detecting photofragment-ions and neutrals, in coincidence, using an ultrafast laser operating at high repetition rates. The apparatus comprises a source that generates ion–molecule clusters, a time-of-flight spectrometer, and a mass filter that selects the desired anions, and a linear-plus-quadratic reflectron mass spectrometer that discriminates the fragment anions after the femtosecond laser excites the clusters. The fragment neutrals and anions are then captured by two channeltron detectors. The apparatus performance is tested by measuring the photofragments: I−, CF3I−, …

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Machine Learning And Causality For Interpretable And Automated Decision Making, Maria Lentini Sep 2023

Machine Learning And Causality For Interpretable And Automated Decision Making, Maria Lentini

Theses and Dissertations

This abstract explores two key areas in decision science: automated and interpretable decision making. In the first part, we address challenges related to sparse user interaction data and high item turnover rates in recommender systems. We introduce a novel algorithm called Multi-View Interactive Collaborative Filtering (MV-ICTR) that integrates user-item ratings and contextual information, improving performance, particularly for cold-start scenarios. In the second part, we focus on Student Prescription Trees (SPTs), which are interpretable decision trees. These trees use a black box "teacher" model to predict counterfactuals based on observed covariates. We experiment with a Bayesian hierarchical binomial regression model as …

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The Influence Of Polystyrene Microplastics On Juvenile Steelhead Trout (Oncorhynchus Mykiss), Kaitlyn Marie Baker Sep 2023

The Influence Of Polystyrene Microplastics On Juvenile Steelhead Trout (Oncorhynchus Mykiss), Kaitlyn Marie Baker

Dissertations and Theses

Mass production of plastic within the past decade has led to over 100 billion tons of plastics being added to the world’s oceans through rivers and effluent disposal and decomposition. For marine environments, the sudden and constant growth of microplastics (plastics 1 µm to 5 mm in diameter), is of particular concern to top-predatory fish such as steelhead trout (Oncorhynchus mykiss), who passively or actively uptake microplastics while consuming prey. Previous research has demonstrated clear detrimental impacts of microplastic accumulation in bivalves, seabirds, and zebrafish, including decreased diet, reproduction rates, and metabolism, as well as increased rates of …

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Community Adaptations To Wildfire Risk In Central Oregon, Usa: An Empirical Study Of Inclusionary Practices In Collaborative Wildfire Risk Mitigation, Liam Resener Sep 2023

Community Adaptations To Wildfire Risk In Central Oregon, Usa: An Empirical Study Of Inclusionary Practices In Collaborative Wildfire Risk Mitigation, Liam Resener

Dissertations and Theses

Adverse impacts of wildfire in Western North America have become increasingly present through the 21st century, driven by landscape changes imposed by colonists in the 19th and 20th centuries. Community adaptations to wildfire will be necessary through the 21st century to restore landscapes and protect the safety and livelihoods of people who live in at-risk areas. Wildfire risk extends across countless environmental and social systems, and individuals have competing ideas about what constitutes that risk and how to best adapt to it. As resources are being allocated to community adaptations, important questions emerge about the values …

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Joint Semiparametric Kernel Network Regression, Byung Jun Kim, Inyoung Kim Sep 2023

Joint Semiparametric Kernel Network Regression, Byung Jun Kim, Inyoung Kim

Michigan Tech Publications, Part 2

Variable selection and graphical modeling play essential roles in highly correlated and high-dimensional (HCHD) data analysis. Variable selection methods have been developed under both parametric and nonparametric model settings. However, variable selection for nonadditive, nonparametric regression with high-dimensional variables is challenging due to complications in modeling unknown dependence structures among HCHD variables. Gaussian graphical models are a popular and useful tool for investigating the conditional dependence between variables via estimating sparse precision matrices. For a given class of interest, the estimated precision matrices can be mapped onto networks for visualization. However, the limitation of Gaussian graphical models is that they …

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Protein Stability In Solution And In The Gas Phase., Yousef Haidar Sep 2023

Protein Stability In Solution And In The Gas Phase., Yousef Haidar

Electronic Thesis and Dissertation Repository

Electrospray Ionization mass spectrometry (ESI-MS) is widely used for probing proteins, yet many aspects of this technique remain elusive. Using MS, ion mobility spectrometry (IMS), and circular dichroism (CD) spectroscopy, this thesis sheds light on the stability differences of proteins in the gas phase and solution. After a general introduction (Chapter 1), Chapter 2 scrutinizes some aspects of native ESI. Our data highlight the significance of cone voltage in maintaining a native-like fold and show the advantage of using NH4Ac in protein experiments. Chapter 3 focuses on hydrogen/deuterium exchange (HDX)-MS. Several studies have reported that D2O …

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Climate Change Impacts And Adaptation To Permafrost Change In High Mountain Asia: A Comprehensive Review, Prashant Baral, Simon Allen, Jakob F. Steiner, Tika R. Gurung, Graham Mcdowell Sep 2023

Climate Change Impacts And Adaptation To Permafrost Change In High Mountain Asia: A Comprehensive Review, Prashant Baral, Simon Allen, Jakob F. Steiner, Tika R. Gurung, Graham Mcdowell

Department of Earth and Atmospheric Sciences: Faculty Publications

Changing climatic conditions in High Mountain Asia (HMA), especially regional warming and changing precipitation patterns, have led to notable effects on mountain permafrost. Comprehensive knowledge of mountain permafrost in HMA is mostly limited to the mountains of the Qinghai-Tibetan Plateau, with a strong cluster of research activity related to critical infrastructure providing a basis for related climate adaptation measures. Insights related to the extent and changing characteristics of permafrost in the Hindu Kush Himalaya (HKH), are much more limited. This study provides the first comprehensive review of peer-reviewed journal articles, focused on hydrological, ecological, and geomorphic impacts associated with thawing …

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North Bergen Outcrop Field And Geochemical Data, Jane L. Alexander, Sean T. Thatcher, Jay Tobon, Victoria Rivelli Sep 2023

North Bergen Outcrop Field And Geochemical Data, Jane L. Alexander, Sean T. Thatcher, Jay Tobon, Victoria Rivelli

Publications and Research

This file contains the data collected on an outcrop of the Stockton Formation in North Bergen, NJ. It contains field observations, mineralogy and geochemical data for major, trace and rare earth elements.

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Precision E- Beam Polarimetry At An E-E+ B Factory Using Tau-Pair Events, J. P. Lees, V. Poireau, V, Tisserand, E. Grauges, A. Palano, G. Eigen, D. N. Brown, Yu. G. Kolomensky, M. Fritsch, H. Koch, R. Cheaib, C. Hearty, T. S. Mattison, J. A. Mckenna, R. Y. So, V. E. Blinov, A. R. Buzykaev, V. P. Druzhinin, Milind Purohit, Et. Al. Sep 2023

Precision E- Beam Polarimetry At An E-E+ B Factory Using Tau-Pair Events, J. P. Lees, V. Poireau, V, Tisserand, E. Grauges, A. Palano, G. Eigen, D. N. Brown, Yu. G. Kolomensky, M. Fritsch, H. Koch, R. Cheaib, C. Hearty, T. S. Mattison, J. A. Mckenna, R. Y. So, V. E. Blinov, A. R. Buzykaev, V. P. Druzhinin, Milind Purohit, Et. Al.

Faculty Publications

We present a new technique, “tau polarimetry,” for measuring the longitudinal beam polarization present in an e+e− collider through the analysis of e+e− → τ+τ− events. By exploiting the sensitivity of τ decay kinematics to the longitudinal polarization of the beams, we demonstrate that the longitudinal polarization can be measured with a 3 per mil systematic uncertainty at the interaction point using a technique that is independent of spin and beam transport modeling. Using 424.2 ± 1.8 fb−1 of BABAR data at √ s = 10.58 GeV, the average longitudinal …

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Two New Absolute Gravity Base Stations Established In Lincoln, Ne, Kris Guthrie, Irina Filina Sep 2023

Two New Absolute Gravity Base Stations Established In Lincoln, Ne, Kris Guthrie, Irina Filina

Transactions of the Nebraska Academy of Sciences and Affiliated Societies

Two new absolute gravity base stations were established on the University of Nebraska-Lincoln City Campus in April 2022. The values were transferred with a relative gravity meter from four existing stations within 238 miles and were later validated by the National Oceanic and Atmospheric Administration. The final values at 22.5 cm above marker height are 980177.781 ± 0.010 mGal at the Lincoln Bell Tower Station and 980178.079 ± 0.010 mGal at the Lincoln Museum station with a gravity gradient of -3.105 µGal/cm. This paper describes the process of transferring gravity values and outlines recommendations for similar projects in the future.

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Butte Priority Soils Operable Unit (Bpsou) Unreclaimed And Insufficiently Reclaimed Sites Request For Change 2023-02, Mike Mcanulty Sep 2023

Butte Priority Soils Operable Unit (Bpsou) Unreclaimed And Insufficiently Reclaimed Sites Request For Change 2023-02, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Exploring Nonprofit Views On Water Management And Conservation Strategies, Jillian Marie Farley Sep 2023

Exploring Nonprofit Views On Water Management And Conservation Strategies, Jillian Marie Farley

Dissertations and Theses

Valuing water resources presents a multitude of methodological and theoretical challenges, including economics, biodiversity, and cultural significance. Information is not readily available on the individuals working every day on water resource management and how they navigate such a complex topic. This project is designed to help all parties better understand the opinions of individuals working for nonprofit organizations and Watershed Councils in the State of Oregon about current methods of water resource conservation. The results reflect respondents’ personal views on the process and practices of valuing water and are designed to prompt deeper discussions between the organizations, communities, and policymakers. …

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Reu-Deim Classification Of Hispanic Voters In Hispanic Groups Using Name And Zip Code Data In Palm Beach, Florida, Kamila Soto-Ortiz Sep 2023

Reu-Deim Classification Of Hispanic Voters In Hispanic Groups Using Name And Zip Code Data In Palm Beach, Florida, Kamila Soto-Ortiz

Beyond: Undergraduate Research Journal

When it comes to registering to vote, Hispanic voters can only register as “Hispanic” in the “Race/Ethnicity” category, causing difficulties when analyzing voting trends amongst the Hispanic community. Upon the recent idea that not all Hispanic Groups vote the same, the goal is to create a model that can possibly identify a voter’s Hispanic Group with the information provided on the public Florida voter file. This is accomplished using name and zip code data for all voters in Palm Beach, Florida. This paper will explore the model implemented, its findings and limitations. Palm Beach, Florida, is met with low confidence …

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Measurement Of The Top Quark Mass Using A Profile Likelihood Approach With The Lepton + Jets Final States In Proton–Proton Collisions At √ S = 13tev, A. Tumasyan Sep 2023

Measurement Of The Top Quark Mass Using A Profile Likelihood Approach With The Lepton + Jets Final States In Proton–Proton Collisions At √ S = 13tev, A. Tumasyan

Department of Physics and Astronomy: Faculty Publications

The mass of the top quark is measured in 36.3 fb−1 of LHC proton–proton collision data collected with the CMS detector at √ s = 13 TeV. The measurement uses a sample of top quark pair candidate events containing one isolated electron or muon and at least four jets in the final state. For each event, the mass is reconstructed from a kinematic fit of the decay products to a top quark pair hypothesis. A profile likelihood method is applied using up to four observables per event to extract the top quark mass. The top quark mass is measured …

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Measurement Of The Top Quark Mass Using A Profile Likelihood Approach With The Lepton + Jets Final States In Proton–Proton Collisions At √S = 13tev, A. Tumasyan Sep 2023

Measurement Of The Top Quark Mass Using A Profile Likelihood Approach With The Lepton + Jets Final States In Proton–Proton Collisions At √S = 13tev, A. Tumasyan

Department of Physics and Astronomy: Faculty Publications

The mass of the top quark is measured in 36.3 fb−1 of LHC proton–proton collision data collected with the CMS detector at √ s = 13 TeV. The measurement uses a sample of top quark pair candidate events containing one isolated electron or muon and at least four jets in the final state. For each event, the mass is reconstructed from a kinematic fit of the decay products to a top quark pair hypothesis. A profile likelihood method is applied using up to four observables per event to extract the top quark mass. The top quark mass is measured …

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Time-Fractional Navier-Stokes Equation Solved By Fractional Variation Of Parameters Method: An Analytic Approach, Muhammad Shakil Shaiq, Shoaib Ali, Azeem Shahzad, Tahir Naseem Sep 2023

Time-Fractional Navier-Stokes Equation Solved By Fractional Variation Of Parameters Method: An Analytic Approach, Muhammad Shakil Shaiq, Shoaib Ali, Azeem Shahzad, Tahir Naseem

International Journal of Emerging Multidisciplinaries: Mathematics

In this investigation, we make use of the Variation of Parameters Method (VPM) to find a solution to the nonlinear time-fractional Navier-Stokes equation. Additionally, the fractional derivative in the sense of Riemann-Liouville is presented and discussed. Within the scope of this investigation, the Variation of Parameters Method (VPM) has been modified to include a fractional multiplier. The Fractional Variation of Parameters Method (FVPM) was created as an iterative way to solve the time-fractional nonlinear time-fractional Navier-Stokes equation. According to the findings of the calculations, the newly developed algorithm (FVPM) is compatible, accurate, and reliable.

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Machine Learning Techniques For The Identification Of Risk Factors Associated With Food Insecurity Among Adults In Arab Countries During The Covid-19 Pandemic, Radwan Qasrawi, Maha Hoteit, Reema Tayyem, Khlood Bookari, Haleama Al Sabbah, Iman Kamel, Somaia Dashti, Sabika Allehdan, Hiba Bawadi, Mostafa Waly, Mohammed O. Ibrahim, Stephanny Vicuna Polo, Diala Abu Al-Halawa Sep 2023

Machine Learning Techniques For The Identification Of Risk Factors Associated With Food Insecurity Among Adults In Arab Countries During The Covid-19 Pandemic, Radwan Qasrawi, Maha Hoteit, Reema Tayyem, Khlood Bookari, Haleama Al Sabbah, Iman Kamel, Somaia Dashti, Sabika Allehdan, Hiba Bawadi, Mostafa Waly, Mohammed O. Ibrahim, Stephanny Vicuna Polo, Diala Abu Al-Halawa

All Works

BACKGROUND: A direct consequence of global warming, and strongly correlated with poor physical and mental health, food insecurity is a rising global concern associated with low dietary intake. The Coronavirus pandemic has further aggravated food insecurity among vulnerable communities, and thus has sparked the global conversation of equal food access, food distribution, and improvement of food support programs. This research was designed to identify the key features associated with food insecurity during the COVID-19 pandemic using Machine learning techniques. Seven machine learning algorithms were used in the model, which used a dataset of 32 features. The model was designed to …

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