bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical Assessment of Brain Disorders
Authors: Epelbaum Stéphane , Cacciamani Federica 
Published: July 2023

AbstractThe clinical evaluation of brain diseases strictly depends on patient’s complaint and observation of their behavior. The specialist, often the neurologist, chooses whether and how to assess cognition, motor system, sensory perception, and autonomic nervous system. They may also decide to request a more in-depth examination, such as neuropsychological and language assessments and imaging or laboratory tests. From the synthesis of all these results, they will be able to make a diagnosis. The neuropsychological assessment in particular is based on the collection of medical history, on the clinical observation, and on the administration of standardized cognitive tests validated in the scientific literature. It is therefore particularly useful when a neurological disease with cognitive and/or behavioral manifestation is suspected. The introduction of machine learning methods in neurology represents an important added value to the evaluation performed by the clinician to increase the diagnostic accuracy, track disease progression, and assess treatment efficacy.
Direkte Methoden der Variationsrechnung
Authors: Künnemann Andreas 
Published: July 2023

ZusammenfassungIn diesem Kapitel wird die Theorie der direkten Methoden der Variationsrechnung aufgegriffen. Eingangs wird deren Konzept erläutert, bevor über einen fundamentalen Satz zur schwachen Unterhalbstetigkeit von Funktionalen die Existenz eines Minimierers für eine breite Klasse von Variationsproblemen nachgewiesen wird. Dabei handelt sich um zwei grundlegende Ergebnisse der modernen Variationsrechnung, die ausführlich dargelegt werden.
Höhere Regularität von Minimierern im Inneren
Authors: Künnemann Andreas 
Published: July 2023

ZusammenfassungZiel dieses Kapitels ist der Nachweis der stetigen Differenzierbarkeit für Minimierer von Variationsproblemen. Zu Beginn erfolgt die Berechnung der ersten Variation sowie die damit verbundene Herleitung der schwachen Euler-Lagrange-Gleichung, welche eine Beziehung zur Lösungstheorie von Differentialgleichungen im Sinne des Dirichletschen Prinzips herstellt. Ausgehend von der schwachen Euler-Lagrange-Gleichung werden in einem zweiteiligen Beweis die Zugehörigkeit eines Minimierers zur Klasse $$W_{loc}^{2,2} \left( G \right)$$

W

loc

2
,
2

G

sowie die Hölder-Stetigkeit der ersten Ableitungen dieses Minimierers ausführlich dargelegt.
Minimierer vom Poissonschen Typ
Authors: Künnemann Andreas 
Published: July 2023

ZusammenfassungIn diesem Kapitel sollen Randwertprobleme mit partiellen Differentialgleichungen zweiter Ordnung mithilfe der Variationsrechnung gelöst werden. Dazu ist der Nachweis stetiger zweiter Ableitungen von Minimierern notwendig. Der Fokus wird hierbei auf sogenannte Minimierer vom Poissonschen Typ gelegt. Eine $$C^{2,\sigma }$$

C

2
,
σ

-Rekonstruktion, die auf der Schaudertheorie basiert, liefert in diesem Fall die gewünschte Regularität. In Anwendung dessen werden das Randwertproblem harmonischer Abbildungen in Riemannschen Räumen sowie das Dirichletproblem des H-Flächen-Systems behandelt, indem jeweils ein geeignetes Variationsproblem aufgestellt wird.Als Erweiterung des Dirichletproblems des H-Flächen-Systems wird das allgemeine Plateausche Problem für Flächen vorgeschriebener mittlerer Krümmung mit den erarbeiteten Methoden der Variationsrechnung untersucht. Zudem wird das Plateausche Problem für Flächen vorgeschriebener mittlerer Krümmung in Kugeln, in Zylindern sowie im Einheitskegel gelöst.
Cognitive Empowerment of Students with Disabilities and Its Impact on Academic Self-Efficacy and Mental Health During the COVID-19 Pandemic—the University of Sharjah as a Model
Authors: Alomosh Ahmad Falah , Sallam Ahmed Mahmoud 
Published: July 2023

AbstractObjective: This study aims to document the interventions implemented at the University of Sharjah (Disability Resource Center) to enhance learning processes to achieve cognitive empowerment for students living with disabilities during COVID-19 and its impact on academic self-efficacy, psychological well-being, and health from their point of view.Methods: The descriptive-analytical approach was used. The study tools applied include the academic self-efficacy scale, the cognitive empowerment scale, and the mental health scale: R-SCL-90. Dimensions (anxiety, depression, and phobia), (n = 120).Results: A statistically significant inverse correlation at the level (0.01) between cognitive empowerment (cognitive awareness, information availability, training and empowerment, independence, and commitment) and mental health (depression, anxiety, and phobia), where the correlation coefficients amounted to –0.522, –0.534, and –0.512 was noted. There is a positive, statistically significant correlation at the level of significance (0.01) between the dimensions of cognitive empowerment and academic self-efficacy, where the correlation coefficient reached 0.549. A statistically significant inverse correlation at 0.01 between mental health (anxiety, depression, and phobia) and academic self-efficacy, as the correlation coefficients amounted to –0.605, –0.558, and –0.557. There are no statistically significant differences between average females and males in cognitive empowerment. There is a statistically significant difference in the dimensions of cognitive and empowerment according to the disability category’s variable. The order of the categories of disability came according to the degree of response to cognitive empowerment: Physical disability, visual disability, hearing disability, and learning difficulties.
Impact of Service Quality on Student Retention in UAE Higher Education Institutions
Authors: Al-Shamsi Aisha , Al-Hawari Mohammad A. , Aderibigbe Semiyu Adejare , Omar Maher 
Published: July 2023

AbstractA major goal of this study is to demonstrate how improving the quality of services can be used to enhance higher education institutions’ ability to hold on to their students and assist them in graduating on time. This study investigates the relationship between service quality and student retention in the higher education sector, as well as the influences of satisfaction, trust, and commitment on this relationship. The study discusses how Institutions can retain their students while defining service quality in the present day. Hence, the literature focused on how service quality impacts student retention today. Following the literary phase of the research, the framework specifies the study’s methodology while analyzing the importance of service quality in higher education institutions. It aims to identify the key success factor contributing to student retention and completion of graduation in higher education through a critical assessment of service quality literature. It suggests a theoretical framework using the SERVQUAL model. A qualitative method of four focus groups was conducted. The data were analyzed using coding, and the hypotheses were constructed and discussed qualitatively. The study concluded that service quality is crucial to retaining students in higher education. According to the research, service quality is important to establishing assurance with students. This study highlights the significance of operational aspects in the service sector, particularly for high-contact services. Furthermore, it demonstrates how higher education institutions can achieve long-term sustainability while providing expansion opportunities.
ESL Teachers’ Experiences on XReading as a Formative Assessment Tool in Extensive Reading: A Study of a Federal Institution in the UAE
Authors: Shehzad Naureen 
Published: July 2023

AbstractExtensive reading is a widely used effective strategy for enhancing students’ reading skills. The study explores how digital libraries like XReading impact students’ extensive reading skills in the English as a Second Language program. XReading provides a Learning Management System where teachers can track and set goals to enhance students’ performance. It also has a key feature of online formative assessments that keep students motivated and accountable in their learning journey. The study using a qualitative research design was conducted at a federal college in the UAE, and it aimed to explore teachers’ perceptions of using XReading as a formative assessment tool, its benefits and challenges the students face, and how it influences students’ performance. The data were collected qualitatively using semi-structured interviews and observations to reveal the effects of XReading as a formative assessment tool in extensive reading. The results indicated that along with cooperative learning, XReading involves the students with a multitude of features it offers and fosters engagement, collaboration, and learner autonomy among students which is a twenty-first-century learning skill.
Rethinking Career Development Post COVID-19: The Career Profile of the Future Framework (CPFF), an E.I.-Based Human Skills Approach
Authors: Bouslama Faouzi , Hiasat Lana , Coombe Christine 
Published: July 2023

AbstractPresently, many organizations are going through a lot of changes brought about using emerging technologies, such as Artificial Intelligence (AI), Machine Learning, and Smart Automation, to streamline their businesses and improve productivity. Moreover, environmental factors, the COVID-19 pandemic, brought attention to the importance of mental health and Emotional Intelligence (E.I.). Therefore, several existing job roles are being redefined and many young professionals in non-supervisory roles are at risk of losing their jobs. These organizations are now more than ever very keen on identifying the required knowledge, attributes, and skill set, and links between personality traits and professional success. As such, there is an urgent need to address the gap in the knowledge and skills required by this transformation, identify the jobs to be retained in the current and future workforce and create plans to close any skills gap. This paper presents an innovative Emotional Intelligence (E.I.) based human skills framework to assess and map university graduates and young professionals into typical career tracks, and hence create a sustainable professional profile, especially in post COVID-19 era. The proposed framework, entitled the “Career Profile of the Future Framework-CPFF”, has four dimensions: Knowledge, Attitude and Mindset, Skills, and Human attributes. This framework is expected to be an asset in assessing the knowledge and skills of university graduates and young professionals, and helping in finding answers to questions such as “How can I stay relevant, given that automation and AI can do the tasks related to my job?”; “What reskilling and upskilling in existing and new employment sectors do I need?”, and “How can I identify the requirements to synergize my E.I profile while catering to my mental health balance?”.
Adapting to the New Normal: Asynchronous Learning as a Promising Solution for Post-Covid-19 Challenges in Jordanian Universities - A Case Study of the American University of Madaba (AUM)
Authors: Madanat Hanan , Tarawnah Majid , Khzouz Afag 
Published: July 2023

AbstractIn the post Covid-19 time, educational trends have changed aiming at meeting the rising challenges which have a crucial impact on the learning environment. Asynchronous learning has become an alternative approach to traditional approaches. Investigating the challenges and opportunities has become a central topic of major concern. To this end, a two-fold approach, namely, an interview and a questionnaire, was utilized. In particular, the two surveys used included: an open-ended survey in which 30 faculty members answered the barriers and opportunities that they face. Whereas the second survey was built upon the responses of the first survey using the Likert scale. The participants were 72 from different faculties at the American University of Madaba (AUM) in Jordan. Statistical analyses were used to find answers to the questions of the study. The findings of the analysis of the three major themes reported the following results: first, asynchronous learning is flexible and allows the ability to both teachers and students to move in their teaching and learning process at their own pace. Second, asynchronous learning is an affordable and practical teaching modality. Third, the inability to adapt to asynchronous learning and the need for specialized training seem to top the challenges AUM’s instructors encounter.
Online Effectiveness of Hybrid Blended and Flipped Learning Approaches During COVID-19 Virus in Libya
Authors: Brydan Rashad , Ikraiam Fawzi 
Published: July 2023

AbstractThe aim of this paper is to provide an insight into hybrid online teaching and flipped learning during COVID-19 pandemic in Libya in pursuit of improving Libyan university students’ knowledge and skills as an alternative instrument to continue their studies. However, this brought about some challenges, for both lecturers and students, while teaching undergraduate courses using hybrid blended online lecturing in the context of flipped learning in different subjects and university programs. Using questionnaires and focused group data analyses helped the authors to discover the opportunities ahead to promote further development of online teaching and flipped learning in Libya. The result proved the need for information and communication technology (ICT) skills for students and staff members, considering the hybrid blended online teaching and flipped learning experience and involvement. This was achieved according to four indicators: students’ learning experience, students’ academic performance, students’ final achievements and educators’ observations. In conclusion, the study proposes a new online teaching model, called Learn, Believe and Achieve. More studies are still needed to help improving this new teaching methodology in Libya.
Proactive Targeted Academic Advising Approach for Students Under Academic Probation and At-Risk Students
Authors: Elmehdi Hussein M. , Ibrahem Almehdi M. , Zaid Zaid A. 
Published: July 2023

AbstractAcademic Advising in higher education has received considerable attention in recent years. This is mainly due to the increased focus on improving education quality, student retention and ranking. The current approach focuses on at-risk students, which includes students with a CGPA of less than 2.3. The Academic Success Program (ASP) is comprised of three main components, which start early in the semester where the targeted students are enrolled in zero-credit courses on the Learning Management System (LMS), i.e., Blackboard. In the first phase of the ASP, we targeted students who are currently under academic probation with the aim to expand the program to include students at risk (students with a CGPA of < 2.3). First, students are asked to answer an online questionnaire, which include carefully designed questions on student status, reasons for academic probation, study habits, social issues, challenges they are facing in their study programs and assistance or services they require to improve their academic standings. Next, students are invited to attend a 2-h workshop that focuses on explaining the various rules and regulations pertaining to academic probation, how to calculate GPA and CGPA along with study plan navigation assistance. The third part of the workshop is a motivational seminar aimed at encouraging and inspiring the students to seek help, talk about the challenges they face, get parents involved and key points on academic success. After the workshop, students are asked to answer an exit assessment that is constructed in the form of a quiz to gauge the gain or impact the program had on the students. The initial results are very encouraging, where 75% of the students who completed the program were able to overcome their academic probation status.
Lessons from Graduation Project During COVID-19 Pandemic for Future Applications, Methods, and Tools
Authors: Bande Lindita 
Published: July 2023

AbstractUnited Arab Emirates University (UAEU), located in the city of AL Ain, is a well-established institution since 1976. The department of Architectural Engineering within the College of Engineering is ABET credited. The Graduating Projects (GP) are part of this curriculum. In pre-pandemic conditions, the students had regular weekly meetings with several faculty based on the project needs. During COVID-19 pandemic, the full program went into online mode. During this change, the students, faculty, and staff had to adapt to new teaching methods in a noticeably short time. This research aims to find and highlight the lessons learned during this change to the GP. The methodology starts with the analysis of two main case studies. Case study A started in fall of 2019 and ended in the spring of 2020 (partially developed in face-to-face mode (in person, on the campus) and partially online mode). Case Study B started in the fall of 2020 and ended in the spring of 2021 (online mode). The case study analysis describes the project’s main objectives and the steps taken by the students to achieve these objectives. The methodology follows the tool analysis. Since the tool used is innovative and complex, in addition to the program, the process of learning, application, and outcomes is crucial. The pandemic’s impact on students’ psychology and productivity is the following step that helps understand how the changes in society and the extensive use of virtual tools helped the students cooperate with the situation. The results showed an improvement in the student’s skills in using advanced tools to achieve the project goal. This research is an attempt in understanding how the pandemic impacted GP work. The outcomes of this study might improve the GP program in the AE Department by integrating a hybrid approach with face-to-face meetings and online training for students to achieve the project targets with more advanced tools.
On the Development of Fintech in Asia
Authors: Yong Liu 
Published: July 2023

AbstractThere are five models of fintech development in the world: the technology promotion model represented by the USA, the rule-driven model represented by the UK, the market pull model represented by China, the mixed competition model represented by Japan and Indonesia, and the model of fanning out from point to area represented by South Korea and Israel. In terms of the layout, the transformation of traditional financial hubs has been accelerated, China and the USA have outstanding advantages in fintech, and the Asia-Pacific region has great potential for fintech development. The fintech of China has been promoted to the worlds leading level; Japan boosts the rapid growth of fintech through advantages of backwardness; Singapore gathers innovative resources with a relaxed and inclusive atmosphere; South Korea promotes scale development of fintech industry by fanning out from point to area; India is gradually exerting its potential for fintech development; Israel builds the highland of fintech development through guidance plus service; Indonesia has gradually become a rising star in fintech development in Southeast Asia; Hong Kong promotes the momentum of sound fintech development with government assistance.
LLE Based K-Nearest Neighbor Smoothing for scRNA-Seq Data Imputation
Authors: Feng Yifan , Ai Yutong , Jiang Hao 
Published: July 2023

AbstractThe single-cell RNA sequencing (scRNA-seq) technique allows single cell level of gene expression measurements, but the scRNA-seq data often contain missing values, with a large proportion caused by technical defects failing to detect gene expressions, which is called dropout event. The dropout issue poses a great challenge for scRNA-seq data analysis. In this chapter, we introduce a method based on KNN-smoothing: LLE-KNN-smoothing to impute the dropout values in scRNA-seq data and show that the LLE-KNN-smoothing greatly improves the recovery of gene expression in cells and shows better performance than state-of-the-art imputation methods on a number of scRNA-seq data sets.
A Novel Approach for Improving Accuracy for Distributed Storage Networks
Authors: Lu Liu , Yuanyuan Ke , Yong Yuan 
Published: July 2023

AbstractWith the development of storage technology and Internet technology, cloud storage continues to make its impact. Scalability, reliability, and lowered costs have made cloud storage widely used with success in businesses and individuals. The advent of the blockchain has brought some changes. As the incentive layer for IPFS, Filecoin allows storage resources to become tradable, greatly extending storage capacity. However, the process of testing the integrity of data still needs constant improvement. In this chapter, we propose a new data audit proof, in which nodes continuously upload hashed data that has been added to random numbers, and the smart contract will compare the result to verify the integrity of the data. Meanwhile, data owner could calculate and then challenge to verify the data integrity. There are audit miners responsible for regulating the behavior of miners and the protection of users’ data, and audit miners in a state of semi-participation. It is demonstrated later in the chapter that this proof is accurate enough and resistant to attacks.
Optimisation of Limestone Calcined Clay Cement Based on Response Surface Method
Authors: Huang G. , Zhuge Y. , Benn T. , Liu Y. 
Published: July 2023

AbstractLimestone calcined clay cement (LC3) is a new type of cement that contains Portland cement, calcined clay, and limestone. Compared with traditional cement clinker, LC3 reduces CO2 emissions by up to 40%, and is a promising technology for the cement industry to achieve its emission target. We used a numerical approach to predict the optimum composition of LC3 mortar. The experiments were performed using central composite rotational design under the response surface methodology. The method combined the design of mixtures and multi-response statistical optimization, in which the 28-day compressive strength was maximized while the CO2 emissions and materials cost were simultaneously minimized. The model with a nonsignificant lack of fit and a high coefficient of determination (R2) revealed a well fit and adequacy of the quadratic regression model to predict the performance of LC3 mixtures. An optimum LC3 mixture can be achieved with 43.4% general purpose cement, 34.16% calcined clay, 20.6% limestone and 1.94% gypsum.
Analysis of Categories That Delay Global Construction Projects
Authors: Abonassrya M. , Alam M. , Saifullah A. 
Published: July 2023

AbstractDelay in construction projects is a significant issue and concern for most construction companies. Many studies have addressed this issue by identifying the top-ranked causes, which vary according to project type, location, and the research method used. The combined factors of delay/time overrun need further analysis to understand the top-ranked factors considering the project context. We identified 360 delay/time overrun factors of construction projects from articles published in the past 10 years in top-quality journals ranked as per scientific journal ranking (SJR). The factors were then coded and classified into categories based on their impact and the description in NVIVO software. Finally, the categories were analyzed and ranked by the relative importance index using SPSS software to identify the critical ones in global construction projects. In addition, the developed and developing countries affected by these delay factors were determined. The results revealed that the top five important factors are located under the following categories: orders and requirements; experience and productivity; financial problems; planning; and lastly both external and management categories. These categories were the highest ranking among the five top factors found in the reviewed studies and affect both developed and developing countries.