bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrated multi‐omics analysis reveals drought stress response mechanism in chickpea (Cicer arietinum L.)
Authors: Kudapa Himabindu , Ghatak Arindam , Barmukh Rutwik , Chaturvedi Palak , Khan Aamir , Kale Sandip , Fragner Lena , Chitikineni Annapurna , Weckwerth Wolfram , Varshney Rajeev K. 
Published: May 2023

AbstractDrought is one of the major constraints limiting chickpea productivity. To unravel complex mechanisms regulating drought response in chickpea, we generated transcriptomics, proteomics, and metabolomics datasets from root tissues of four contrasting drought‐responsive chickpea genotypes: ICC 4958, JG 11, and JG 11+ (drought‐tolerant), and ICC 1882 (drought‐sensitive) under control and drought stress conditions. Integration of transcriptomics and proteomics data identified enriched hub proteins encoding isoflavone 4′‐O‐methyltransferase, UDP‐d‐glucose/UDP‐d‐galactose 4‐epimerase, and delta‐1‐pyrroline‐5‐carboxylate synthetase. These proteins highlighted the involvement of pathways such as antibiotic biosynthesis, galactose metabolism, and isoflavonoid biosynthesis in activating drought stress response mechanisms. Subsequently, the integration of metabolomics data identified six metabolites (fructose, galactose, glucose, myoinositol, galactinol, and raffinose) that showed a significant correlation with galactose metabolism. Integration of root‐omics data also revealed some key candidate genes underlying the drought‐responsive “QTL‐hotspot” region. These results provided key insights into complex molecular mechanisms underlying drought stress response in chickpea.
Prediction of fetal and neonatal outcomes after preterm manifestations of placental insufficiency: systematic review of prediction models
Authors: Kleuskens D. G. , van Veen C. M. C. , Groenendaal F. , Ganzevoort W. , Gordijn S. J. , van Rijn B. B. , Lely A. T. , Schuit E. , Kooiman J. 
Published: May 2023

ABSTRACTObjectivesTo identify all prediction models for fetal and neonatal outcomes in pregnancies with preterm manifestations of placental insufficiency (gestational hypertension, pre‐eclampsia, HELLP syndrome or fetal growth restriction with its onset before 37 weeks' gestation) and to assess the quality of the models and their performance on external validation.MethodsA systematic literature search was performed in PubMed, Web of Science and EMBASE. Studies describing prediction models for fetal/neonatal mortality or significant neonatal morbidity in patients with preterm placental insufficiency disorders were included. Data extraction was performed using the CHARMS checklist. Risk of bias was assessed using PROBAST. Literature selection and data extraction were performed by two researchers independently.ResultsOur literature search yielded 22 491 unique publications. Fourteen were included after full‐text screening of 218 articles that remained after initial exclusions. The studies derived a total of 41 prediction models, including four models in the setting of pre‐eclampsia or HELLP, two models in the setting of fetal growth restriction and/or pre‐eclampsia and 35 models in the setting of fetal growth restriction. None of the models was validated externally, and internal validation was performed in only two studies. The final models contained mainly ultrasound (Doppler) markers as predictors of fetal/neonatal mortality and neonatal morbidity. Discriminative properties were reported for 27/41 models (c‐statistic between 0.6 and 0.9). Only two studies presented a calibration plot. The risk of bias was assessed as unclear in one model and high for all other models, mainly owing to the use of inappropriate statistical methods.ConclusionsWe identified 41 prediction models for fetal and neonatal outcomes in pregnancies with preterm manifestations of placental insufficiency. All models were considered to be of low methodological quality, apart from one that had unclear methodological quality. Higher‐quality models and external validation studies are needed to inform clinical decision‐making based on prediction models. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
Big ideas in sports analytics and statistical tools for their investigation
Authors: Baumer Benjamin S. , Matthews Gregory J. , Nguyen Quang 
Published: May 2023

AbstractSports analytics—broadly defined as the pursuit of improvement in athletic performance through the analysis of data—has expanded its footprint both in the professional sports industry and in academia over the past 30 years. In this article, we connect four big ideas that are common across multiple sports: the expected value of a game state, win probability, measures of team strength, and the use of sports betting market data. For each, we explore both the shared similarities and individual idiosyncracies of analytical approaches in each sport. While our focus is on the concepts underlying each type of analysis, any implementation necessarily involves statistical methodologies, computational tools, and data sources. Where appropriate, we outline how data, models, tools, and knowledge of the sport combine to generate actionable insights. We also describe opportunities to share analytical work, but omit an in‐depth discussion of individual player evaluation as beyond our scope. This article should serve as a useful overview for anyone becoming interested in the study of sports analytics.This article is categorized under:
Applications of Computational Statistics > Education in Computational Statistics
Multiple Stressors
Authors: O’Brien Allyson L. , Dafforn Katherine , Chariton Anthony , Airoldi Laura , Schäfer Ralf B. , Mayer-Pinto Mariana 
Published: May 2023

AbstractThis book has mostly considered marine contamination and the biological effects of contaminants acting as single stressors. However, marine environments are rarely exposed to a single stressor, but rather experience a complex mix of many stressors. These stressors may be contaminants, such as the ones discussed in previous chapters (nutrients, chemicals, plastics as well as carbon dioxide), or they may be other stressors, such as invasive species, built infrastructure, aquaculture or fisheries, or climatic changes which themselves can contribute to contaminant stress, for example, nutrient loading is a well-known impact of aquaculture activities. All these stressors are ubiquitous in marine environments worldwide and have the potential to interact and have very different impacts compared to if they occurred singularly.
Oil and Gas
Authors: Carpenter Angela , Reichelt-Brushett Amanda 
Published: May 2023

AbstractOil is a generic term that can cover a very wide range of natural hydrocarbon-based substances and also refined petrochemical products. Crude oiland petroleum products can have a range of physical properties on the basis of which their behaviour in the marine environment can differ widely. These properties range from viscosity (the rate at which liquid flows), density, and specific gravity (density relative to water).
Pesticides and Biocides
Authors: Warne Michael St. J. , Reichelt-Brushett Amanda 
Published: May 2023

AbstractPesticidesare chemicals that have been specifically synthesised to “kill pests, including insects, rodents,fungiand unwanted plants” (WHO, WHO (World Health Organisation) (2020) The WHO recommended classification of pesticides by hazard and guidelines to classification, 2019 edition. Available at:https://www.who.int/publications/i/item/9789240005662[Accessed 19 Aug 2020]). They are generally used with the aim of protecting plants or plant products and this is why they are referred to in European Union legislation as Plant Protection Products.Biocidesare chemicals that are also designed to have the same properties as pesticides but they are not used to protect plants or plant products.
The Knowledge-Evolving Project: Fundamentals to a Complete Project Knowledge Management Discipline
Authors: Dabbour Ghassan 
Published: May 2023

AbstractThis paper establishes a knowledge management doctrine unique to the field of project management. The paper investigates and expands on the theoretical frameworks and practices of organisational knowledge management – which is the dominate doctrine in the discipline of knowledge management – to deduce a theory and a practice of project knowledge management that is distinctive from other knowledge management fields. It is discovered that the knowledge dynamics at the foundational level of project knowledge management is a symmetrical transposition of that of organisational knowledge management. Thus, theKnowledge-Evolving Projectdoctrine is established as the inverse of theKnowledge-Creating Company. Exploring a knowledge management discipline distinctive to project management inevitably leads to new insights that are potentially significant to managing knowledge in projects in particular and to knowledge management discipline in general. Most of the current literature on project knowledge management is almost indistinguishable from organisational knowledge management. The very same theoretical and empirical concepts and ideas are applied interchangeably in both management fields. This paper takes the rare step of creating a new theory and practice of project knowledge management such that it is distinctive from other knowledge management fields.
Using Nearpod to Promote Engagement in Online ESL Classes: A Mixed-Methods Study in the Context of Higher Education
Authors: Alawadhi Azza , Thabet Rawy A. 
Published: May 2023

AbstractStudent Response Systems such as Kahoot!, Socrative and Nearpod have become one of the latest trends in teaching and learning across higher education. However, despite the popularity of these platforms, the integration of SRS in teaching is still an evolving field of study. This mixed-methods study draws on undergraduate students’ perceptions of using Nearpod to facilitate teaching and learning in an online English course at a federal higher education institution in the UAE during pandemic teaching. A combination of self-report surveys (N = 90) and in-depth interviews (N = 5) were used to collect data for this study. Findings suggest that students perceived Nearpod to promote fun and enjoyment, enhance knowledge and understanding, and improve classroom dynamics. Results indicate a generally positive response, with 93.3% of students reporting that the instant feedback afforded by Nearpod improved their understanding, while 83.4% reported an increase in interactivity. This study confirms previous findings, suggesting that SRS such as Nearpod could foster effective student engagement, increase participation, and enhance students’ online learning experience. The study also found that there were no significant gender differences in students’ perceptions of Nearpod. Pedagogical implications are further discussed, and future research suggestions are provided.
Investigating Emirati Students’ Practices of Learning Block-Based Programming in an Online Learning Context: Evidence from a UAE National Program
Authors: Elsawah Wafaa , Charles Tendai 
Published: May 2023

AbstractPurpose The primary purpose of this study is to investigate Emirati students’ perceptions about a two-week online programming course.Methodology A mixed-method approach was used to report a two-week program experience in which 913 Emirati students engaged in a programming course. During the program, students’ progress and achievements were observed. At the end of the program, a survey was distributed amongst students for them to report on their perceptions about the experience.Findings - Results revealed that most of the students enjoyed learning programming in an online environment and they fully comprehended the newly presented concepts; however, a few of them experienced various forms of technical difficulties.Implications - This study contributes to the growing body of literature on the value of programming skills and the role of online learning environments in developing these skills for school students, especially for students in the United Arab Emirates (UAE).Originality - The outcomes of this study may assist educational policymakers in the UAE to enhance their implementation of online learning, particularly in programming. Moreover, it may help educators better prepare for the problems that students face with online programming.
A Quantitative Study on the Impact of Online Learning on Reading Comprehension Skills
Authors: El Haddad Ranya Ahmed , Salhieh Sa’Ed Mohammad Issa 
Published: May 2023

AbstractThis quantitative study aims to investigate the relationship between e-education and reading comprehension skills acquisition. It also examines if the previous relationship may impact students’ results in the exams. It also analyses the relationship between students’ knowledge in ICT and their perception and acceptance of online education. To collect data, A survey was sent to students to measure their perception of and satisfaction with online learning. Moreover, the marks of 105 students in an on-campus test were compared to the marks of another one they did online during the pandemic. The study agreed with the previous studies that e-learning can impact the reading skills positively and that students are getting aware of its educational benefits. On the other hand, the study did not agree with other studies about students’ knowledge of ICT and how it can positively impact their perception of online education. The study showed that although secondary students have sufficient knowledge of ICT, they do not have positive perceptions of online education.Purpose - to investigate the relationship between e-education and acquiring reading comprehension skills, and if this may impact students’ results in the exams.Methodology - A quantitative study in which a survey and the scores of two reading exams are analysed.Findings - this study agreed with other studies about the positive impact of e-learning with some differences regarding students’ satisfaction with IT.Implications - teachers can integrate interactive websites within instruction and using online games and activities can make students more attentive and less distracted.Originality/value - although most of the studies have proved that there is a positive relationship between the quality of ICT services and students’ satisfaction with online education, this study disagrees as unlike most of the studies, the study in hand was conducted in a secondary school, not in a university.
Simulation Study on the Effect of Courtyards Design on Natural Ventilation: The Case Study of a Beauty Centre in Germany
Authors: Eid Bana , Taleb Hanan M. 
Published: May 2023

AbstractThis paper examines how to enhance the indoor environmental quality and thermal comfort in a beauty centre in Germany, by implementing courtyard in the building as a natural ventilation method. The courtyard ventilation method will be discussed in the literature review and will apply it using IES VE computer software with different strategies in different scenarios to achieve the optimum natural ventilation with the best scenario. This will include designing the base case scenario, and next, the HVAC system will be switched off during the summer and apply 3 different strategies with 3 scenarios each to study the effect of natural ventilation of courtyards in terms of energy consumption and thermal comfort and choose the best-case scenario. The winning case scenario is “scenario 8” as it has dropped 2.3 MWh from the total energy based on the base case scenario. Natural ventilation is important as it helps in improving the thermal comfort of the indoor and outdoor environment and controlling the inside temperature along with the air quality and movement. Moreover, it helps in reducing the usage of energy and thus reducing costs. All the strategies, scenarios and simulations were done by the authors using IES VE software.
Summarising a Twitter Feed Using Weighted Frequency
Authors: Abohaia Zina Ahmed , Hassan Yousef Mamdouh 
Published: May 2023

AbstractData is growing exponentially every day, with 500 million tweets sent on Twitter alone (Desjardins 2021). Twitter feeds are long, take time to understand, are multilingual, and have multimedia. This makes it difficult to analyse in its raw form so the data needs to be extracted, cleaned, and structured, to be able to be used in research. This paper proposes summarising twitter feeds as a manner of structuring them. The objectives we sought to achieve are: (1) Use the Twitter API to retrieve tweets successfully, (2) Efficiently detect the language of text, and tokenize it to then analyse their content (in its language), (3) Use live tweets as the input instead of a database of tweets, (4) Create the interface as a plugin to make it accessible for computer scientists, and others, alike. We also aimed to test whether using weighted frequency to construct summaries of tweets would be successful, and by conducting a survey to test our results, we have found that our program is seen to be useful, accessible, and efficient at giving summarizations of twitter accounts. Weighted frequency also proved to be good at summarising text of any language, inputted.
Preventive Maintenance Using Recycled Asphalt: Review
Authors: Al Shehhi Aishah H. O. , Jokhio Gul Ahmed , Abu-Tair Abid 
Published: May 2023

AbstractThe article addresses the importance of using recycled asphalt with the integration of road maintenance procedures in the road network. The road network is considered the main element of any national infrastructure development plan. The research aims to study and highlight the using recycled asphalt as a suggested sustainable method for road maintenance procedures. Therefore, the study elaborates on the historical use of recycled asphalt, its advantages, and disadvantages. Besides that, maintenance process categories to ensure the suitable type that helps provide the best quality of the network. Since roadway pavement assessment is based on quality as well as different characteristics parameters such as rutting, cracking, pavement quality Index, and roughness in addition to other parameters. The primary method used in this study is the review of existing literature. It can be concluded that the use of recycled asphalt in road maintenance can become a viable and sustainable alternative to current road maintenance practices.
Enhancing Products Delivery Through the Application of Innovative Operating Model Based on Hybrid Agile Delivery Method: Case Information Communication Technologies “ICT” Service Providers
Authors: Al Jabri Madhad Ali Said 
Published: May 2023

AbstractPurpose: the purpose of this study is to find out a cutting-edge innovative solution for enhancing ICT products delivery and proposing an implementation plan with transformation recommendations aiming higher success rate.Methodology: This qualitative study is done through intensive literature review followed by qualitative analysis and selection of best product delivery method using cost benefit analysis and previous successful implementations benchmark. A proposed delivery operating model was also recommended accordingly.Findings: Based on the problem analysis and subsequent literature review, the existing delivery methodologies of ICT services providers are not fully sufficient to cater for high complex products delivery which require high integration and customer centricity. Hence, a hybrid delivery method is recommended based on previous success stories of 5 major companies with a proposed transformative operating model (framework) including a transformation plan and implementation recommendations.Implications: Information Communication Technologies services providers can benefit from the proposed hybrid product development approach and the suggested operating model as key differentiator for agility, customer centricity, and improved time to market. It enhances collaboration, innovation, culture, and Employee Engagement.Originality/value: Previous literature has extensively explored projects delivery models in various industries where there was minimum focus on ICT industry. This paper uncovers and contribute positively in proposing a successful hybrid agile delivery method with a transformative operating model to support higher success rate in ICT Industry to assure high-value creation, maximize return on investments with high net present value.
Educating Learners with SEND in One Private Mainstream School in Dubai: Effectiveness and Challenges of Policy Implementation
Authors: Badawieh Muntaha , Abukari Abdulai , Gaad Eman 
Published: May 2023

AbstractThis study investigates the SEND policy implementation in one private school in Dubai. It highlights whether the school’s teachers and support staff adopted and effectively implemented the SEND inclusion policy. The investigation process focuses on three areas which are curriculum modifications, Assessment differentiation, and teacher’s professional development. A qualitative research study of semi-structured interviews has been conducted to investigate the effectiveness and challenges of SEND policy implementation; for this purpose, interviews were conducted with the school’s teachers for data analysis; the researcher has decided to use the qualitative approach because it shows a subjective evaluation of beliefs, behaviour, and attitudes, the total number of participants were two subject teachers and one school principal. This study investigated all the significant aspects, and the overall result was conducted to provide the proper recommendations. The qualitative study findings indicate that the school policy implementation is very effective, and teachers’ awareness of the inclusion policy is appropriate. Nevertheless, they face difficulties in accommodating students’ needs in the classroom due to the massive number of students in each classroom. Also, it showed that the inclusion support team acts as a backbone in supporting the teachers through the weekly meetings, which help them modify the curriculum and accommodate the assessment for their students. In terms of challenges, the school has few numbers of inclusion support teachers; therefore, it leads to some challenges teachers face when implementing the policy.
Introduction
Authors: Cornelissen Gunther , Peyerimhoff Norbert 
Published: May 2023

AbstractThe chapter contains an overview of the main new results in the book: a spectral characterisation of covering equivalence of Riemannian manifolds using spectra of finitely many twisted Laplacians, a more detailed version for non-arithmetic Riemann surfaces, a version using the length spectrum. It also contains a spectral characterisation of weak conjugacy. The chapter contains pointers forward to other chapters that contain an exposition of the basic tools and methods, as well as detailed constructions, proofs and examples.
Length Spectrum
Authors: Cornelissen Gunther , Peyerimhoff Norbert 
Published: May 2023

AbstractIn this chapter, we prove a version of the main result using the length spectrum instead of the Laplace spectrum, in case the manifold is negatively curved. We introduce the L-series corresponding to a unitary representation of the fundamental group, recall its convergence properties in relation to volume entropy, and its behaviour in finite covers.