bluuebunny/crossref_metadata_2025 huggingface dataset:
استراتيجية المعلم في ترقية كفاءة مهارة القراءة لدى الطلبة في مدرسة القرآن في الإخلاص وونوأجونج
Authors: Junaidi Mohammad Rifqi
Published: August 2024

مدرسة القرآن التعليمية (TPQ) هي مؤسسة تعليمية إسلامية غير رسمية تهدف إلى تعليم قراءة القرآن بشكل صحيح وصحيح. تم العثور على العديد من طلاب الإخلاص في قرية الذين لا يزالون غير قادرين على التحدث باللغة العربية بشكل صحيح وصحيح. كان الغرض من هذه الدراسة هو معرفة الاستراتيجيات المستخدمة لتحسين قدرة القراءة الجيدة والصحيحة لطلاب الإخلاص في قرية وونوأكونغ. هذا البحث هو نوع من البحث الميداني باستخدام منهج وصفي نوعي. يتم تنفيذ تقنيات جمع البيانات عن طريق المراقبة والتوثيق. كانت نتائج هذه الدراسة للتعرف على استراتيجية المعلم في تحسين قدرة مهارة القرون ، ما هي المعوقات في تنفيذ التعلم في زيادة قدرة طلاب مهارة قروة في قرية تي بي كيو الإخلاص ونواجونغ ، استراتيجية المعلم في التحسين. القدرة على القراءة لطلاب الكلمة المفتاحية : مدرسة القرآن, استراتيجية, مهارة القراءة
في تعليم قواعد اللغة العربية Hypnoteaching تطبيق طريقة
Authors: Ali Ibadurrahman , Fitriani Laily , Renni Hasibuan  , Nandalawi
Published: August 2024

تهدف هذه الدراسة إلى وصف تطبيق طريقة Hypnoteaching في تعليم قواعد اللغة العربية. منهجية البحث المستخدمة هي الوصفية النوعية. جمع البيانات باستخدام المقابلة والملاحظة. تم إجراء مقابلة مع معلمي العربية، في حين تم إجراء ملاحظة المشاركين في الفصل 8H أثناء أنشطة التعليم. كانت مصادر البيانات في هذه الدراسة معلمي وطلاب الصف الثامن، بإجمالي 33 شخصا، بالإضافة إلى مصادر الأدب في شكل كتب تتعلق بطريقة Hypnoteaching. تقنيات تحليل البيانات المستخدمة هي: التكثيف، وعرض البيانات، واستدلال البيانات. وأظهرت النتائج أن طريقة Hypnoteaching يتضمن خمس تقنيات رئيسية، وهي السرعة (Pacing)، القيادة (Leading)، والكلمات الإيجابية (Kata-kata positif)، والمدح (Pujian)، والنمذجة (Modeling). العوامل الداعمة هي: 1) الاحتراف والحماس العالي من المدرس في التعليم، 2) توافر المرافق والبنية التحتية المدرسية الملائمة في تسهيل عملية التعليم الفعالة، 3) يشعر الطلاب بمزيد من الاهتمام والحماس في تعليم مادة القواعد لأنها يتم تقديمه بطريقة مثيرة للاهتمام وممتعة، 4) ظروف الفصول الدراسية المواتية وبيئة المدرسة الهادئة. بينما العوامل المثبطة: 1) لم يتم تطبيق طريقة Hypnoteaching على نطاق واسع من قبل المدرسين في إندونيسيا، 2) العدد الكبير من الطلاب والوقت المحدود الذي يمتلكه المدرس، 3) يوفر فوائد كبير ، ولكن لا يمكن أن تقدم نتائج فورية. تشير نتائج هذا البحث إلى أن تطبيق طريقة Hypnoteaching في تعليم قواعد اللغة العربية يمكن أن يزيد من اهتمام الطلاب ومشاركتهم، ولكن لا بد من التغلب على التحديات مثل ضيق الوقت وعدم نشر الطريقة من قبل المعلمين في إندونيسيا لتحقيق أهداف أوسع نطاقا وأكثر فعالية.
إستراتجيات تعليم مهارة الكلام لدى مشاركات المسابقة العربية وعواملها المؤثرة في معهد دار اللغة والدعوة للبنات
Authors: Sari Alvia Putri Prima , Seti Ismawati  , Ahmad Nahid Mashury
Published: August 2024

الإستراتيجية إحجى مفاتح نجاح في عملية التعلم والتعليم لحصول الطلاب على الأهداف المنشودة. ويهدف هذا البحث إلى شرح الإستراتيجية المستخدمة  لدى مدربات المسابقة العربية بمعهد دار اللغة والدعوة والعوامل المؤثرة. هذه الدراسة الكيفية الوصفية ونوعها دراسة الحالة،  وجمع البيانات المحصول من الملاحظة والمقابلة والوثائق. ويستخدم التحليل عند Miles Huberman الذي يتكون من ١) تقليل البيانات، ٢) عرض البينات، و٣) الاستنتاج. تدل نتائج البحث هنا، أن الأنشطة اللغوية مثل أجيال أبوي والمحاضرة العربية تركز إلى الحفظ أو التدريبات، وأما المسرحية بشكل المجموعة، والمناظرة العربية تعليم منشط  وملكة اللغة تعليم مستقيل. العوامل المؤثرة هي  المدربات المتقنات في العربية والمناخ التعليمي الإيجابي بين الشركات المكافأة ومحاولة لجن المسابقة في عرض الحفلة الإفتتاحية جذابة. وتشتمل العوامل المعوقات من العوامل الداخلية أو العوامل النفسية منها الخجول وقلة ثقة النفس والدوافع التعليمية الضعيفة. والعوامل الخارجية هي. ضعف كفاءة التلميذات وقلة الوقت لتدريب. وجد في هذا البحث أن تميل المدربات إلى تعليم متمركز حول المعلم وفي بعض الأنشطة خاصة المسرحية والمناظر وملكة اللغة باستخدام تعليم متمركز حول المتعلم.
استخدام كتاب التقريرات البهية في تعليم القواعد النحوية لترقية مهارة القراءة
Authors: Wardana Musytahar Ali , Ahmad Luai Zaaria  , M. Luqman Hambali
Published: August 2024

يعتقد الكثير من أبناء الوطن الإندونيسي أن القواعد النحوية على جانب كبير من الصعوبة والتعقيد بحيث يتعذر كل أحد أن يلم بها إلماما شافيا وكافيا ما لم يتخصص ويكد تركزه في دراستها. لخص الباحث ثلاث أسئلة: (1.) كيف تطبيق استخدام كتاب التقريرات البهية في تعليم القواعد النحوية؟ (2.) ما هي العوامل الداعمة والمثبطة في استخدام كتاب التقريرات البهية؟ (3.) ما الحلول لعلاج العوامل المثبطة في استخدام كتاب التقريرات البهية؟ استخدم الباحث المدخل الكيفي. أسلوب جمع البيانات وأدواته: المقابلة، الملاحظة، الوثائق.
نتائج البحث: (1.) مقارنة عدة طرق وذلك حسب ملاحظة الباحث. (2.) الداعمة: وجود المدرسين الأكفاء والهيئة التدريسية ذو خبرة عالية، وجود الطلاب المجتهدين ذو اهتمام كبير، طريقة التدريس المتميزة، الحفظ الواجب للمتون، التطبيق الكافي والتام للقواعد النحوية من خلال الدرس، ساعات الدراسة الكبيرة لمادة القواعد النحوية، الحلقة الخاصة لمادة القواعد النحوية خلال أيام الأسبوع. المثبطة: عدم إعطاء الوظيفة لأجل التأكيد من فهمهم، قلة اهتمامهم بحفظ المفردات الجديدة، عدم قدرتهم على التعبير الصحيح باللغة العربية، عدم فهمهم لبعض النصوص لقلة حفظهم للمفردات. (3.) التشجيع، تزويد المفردات، نشر المفردات، الوظيفة المنزلية، الحوافز.
Transposição do São Francisco : território, potenciais impactos e políticas públicas complementares
Authors: Castro César Nunes de , Cerezini Monise Terra
Published: August 2024

Esta publicação apresenta uma avaliação do Projeto de Integração do São Francisco (PISF). Devido ao tamanho do Projeto, sua importância para a região beneficiada, a magnitude dos dispêndios realizados, a abrangência do território sobre o qual ela atua, supõe-se que nem essa, nem qualquer outra avaliação sobre assunto tão complexo, esgotarão o tema e se constituirão em uma avaliação “definitiva”. Sem a pretensão de ser completa, esta avaliação, submetida para o Conselho de Monitoramento e Avaliação de Políticas Públicas do governo federal, pretende contribuir, um pouco que seja, com estatísticas, e considerações nelas baseadas, que auxiliem no complexo desafio de gerenciar o PISF, de promover a segurança hídrica em região de clima tão desfavorável e de desenvolver, no sentido humano e econômico, o seu vasto território de influência.
SVM, KNN, and Neural Networks Investigated for Machine Learning in Written Word Decoding
Authors: Ajay Gottipati , Bhuvanesh Babu Srungavarapu , Narasimha Rao Madala , Satya Magam , Krishna Siva , Gouse M. D
Published: August 2024

The capacity of a device to recognise and understand legible handwriting input from a variety of origins, including written material, snap shots, displays, and other electronics, is known as handwritten reputation. In this study, we investigate three classification algorithms: Support Vector Machines (SVM), K-Nearest_Neighbours (KNN), and Neural Networks for handwritten character recognition, and we will identify the best one among these three.
Büntető igazságszolgáltatás a kábítószerpiac ellen
Authors: Ritter Ildikó
Published: August 2024

The author provides and overview of recent developments in the legislative and operative field of anti-drug criminal justice.
Az idegenrendészeti és menekültügyi jogszabályok változásának hatásai a Csongrád megyét érintő illegális migrációra
Authors: Honfi Péter
Published: August 2024

The author provides an overview of how recent changes in the alien policing and asylum procedures shaped anti-illegal-immigration operations in one of the most affected Hungarian regions.
Some Discourses on the Human Development Model in Central Asia
Authors: Qanoatovich Shirinov Anvar
Published: August 2024

This article analyses on the development of the concept of human development is one of the main factors in the performance of social, political and economic tasks in modern international relations. On this basis, human development issues are considered one of the most important and pending problems of the current era. All the reforms carried out in our country underlie human interests. During the period after independence, the Central Asian countries took bold steps towards the development of a legal democratic state. The cooperation of the countries of the region, including Uzbekistan, with world countries is expanding. Research into the position of Central Asian countries in the UN and its programs is becoming important. In 2000, the UN adopted the Millennium Development Goals (MDG) and in 2015 the Sustainable Development Goals, placing commitments to all countries that signed the document on its implementation. In 2005, the UN General Assembly approved ten-year activities to apply International Development Goals to countries. By the end of 2006, it was agreed to adopt national tasks to achieve the goals and objectives in the MRM declaration. In September 2015, the MDGs were replaced by 173 tasks embodied in 17 Sustainable Development Goals (SDGs) for implementation.
Exploring Embedded System Tackling Design Challenges Methodology and Optimization Strategies
Authors: Saranya Mrs. S. , Pugazhendhi Mr. M. Arul , Nizar Dr. S. Mohamed
Published: August 2024

The current design methodologies are no longer relevant due to the complex nature of embedded products and the need for quick development. The relevance of the present state of embedded system technology is highlighted, emphasizing the need to resolve design problems, implement optimization techniques, and create development processes for embedded systems. We fully focus on the safety and security of your design when we are solving a problem, especially for embedded systems applications that are critical to mission success. A strong understanding of embedded system hardware and software design is necessary in order to implement the strategies and methodologies of embedded system development. This is due to the fact that embedded systems comprise both software and hardware. These kinds of constraints include things like time constraints that are applied in real time, interactive designs, validation, and extensive testing.
Evidence of Water Vapor in the Atmosphere of a Metal-rich Hot Saturn with High-resolution Transmission Spectroscopy
Authors: Rafi Sayyed A. , Nugroho Stevanus K. , Tamura Motohide , Nortmann Lisa , Sánchez-López Alejandro
Published: August 2024

Transmission spectroscopy presents one of the most successful approaches for investigating the atmospheres of exoplanets. We analyzed the near-infrared high-resolution transmission spectrum of a hot Saturn, HD 149026 b, taken using CARMENES spectrograph (

R

∼

80,400

). We found evidence of H2O at a signal-to-noise ratio (S/N) of ∼4.8. We also performed grid search using a Bayesian framework and constrained the orbital velocity K
p and rest velocity V
rest to

158.17

−
7.90

+
8.31

km s−1 and

2.57

−
0.57

+
0.54

km s−1, respectively. While the retrieved K
p value is consistent with theoretical prediction, the retrieved V
rest value is highly redshifted (>3σ). This might be an indication of either anomalous atmospheric dynamics at play or an orbit with nonzero eccentricity. Additionally, we searched for HCN but no successful detection has been made, possibly due to the relatively low-S/N data set. The detection of H2O and subsequent retrieval of its abundance, coupled with analysis of other species such as CO in the K band, for example, might help us to get some information about the atmospheric C/O ratio and metallicity, which in turn could give us some insight into the planet’s formation scenario.
Coronal Models and Detection of the Open Magnetic Field
Authors: Asvestari Eleanna , Temmer Manuela , Caplan Ronald M. , Linker Jon A. , Heinemann Stephan G. , Pinto Rui F. , Henney Carl J. , Arge Charles N. , Owens Mathew J. , Madjarska Maria S. , Pomoell Jens , Hofmeister Stefan J. , Scolini Camilla , Samara Evangelia
Published: August 2024

A plethora of coronal models, from empirical to more complex magnetohydrodynamic (MHD) ones, are being used for reconstructing the coronal magnetic field topology and estimating the open magnetic flux. However, no individual solution fully agrees with coronal hole observations and in situ measurements of open flux at 1 au, as there is a strong deficit between the model and observations contributing to the known problem of the missing open flux. In this paper, we investigate the possible origin of the discrepancy between modeled and observed magnetic field topology by assessing the effect on the simulation output by the choice of the input boundary conditions and the simulation setup, including the choice of numerical schemes and the parameter initialization. In the frame of this work, we considered four potential field source surface-based models and one fully MHD model, different types of global magnetic field maps, and model initiation parameters. After assessing the model outputs using a variety of metrics, we conclude that they are highly comparable regardless of the differences set at initiation. When comparing all models to coronal hole boundaries extracted by extreme-ultraviolet filtergrams, we find that they do not compare well. This mismatch between observed and modeled regions of the open field is a candidate contributing to the open flux problem.
Black Hole Mass and Eddington Ratio Distribution of Hot Dust-obscured Galaxies
Authors: Li Guodong , Assef Roberto J. , Tsai Chao-Wei , Wu Jingwen , Eisenhardt Peter R. M. , Stern Daniel , Díaz-Santos Tanio , Blain Andrew W. , Jun Hyunsung D. , Aranda Román Fernández , Zewdie Dejene
Published: August 2024

Hot dust-obscured galaxies (Hot DOGs) are a rare population of hyperluminous infrared galaxies discovered by the Wide-field Infrared Survey Explorer mission. Despite the significant obscuration of the active galactic nucleus (AGN) by dust in these systems, pronounced broad and blueshifted emission lines are often observed. Previous work has shown that eight Hot DOGs, referred to as blue-excess Hot DOGs (BHDs), present a blue excess consistent with type 1 quasar emission in their UV–optical spectral energy distributions (SEDs), which has been shown to originate from the light of the obscured central engine scattered into the line of sight. We present an analysis of the rest-frame optical emission characteristics for 172 Hot DOGs through UV–mid-IR SED modeling and spectroscopic details, with a particular focus on the identification of BHDs. We find that while the optical emission observed in Hot DOGs is in most cases dominated by a young stellar population, 26% of Hot DOGs show a significant enough blue excess emission to be classified as BHDs. Based on their broad C iv and Mg ii lines, we find that the mass of the black hole M
BH in a BHD ranges from 108.7 to 1010
M
⊙. When using the same emission lines in regular Hot DOGs, we find the M
BH estimates cover the entire range found for BHDs while also extending to somewhat lower values. This agreement may imply that the broad lines in regular Hot DOGs also originate from scattered light from the central engine, just as in BHDs, although a more detailed study would be needed to rule out an outflow-driven nature. Similar to z ∼ 6 quasars, we find that Hot DOGs sit above the local relation between stellar and black hole masses, suggesting either that AGN feedback has not yet significantly suppressed the stellar mass growth in the host galaxies or that they will be outliers of the relation when reaching z = 0.
The Structural and Orbital Effects of Active Galactic Nuclei Feedback on SMBH Binaries Embedded in Gaseous Circumbinary Disks
Authors: d’Etigny Juan , Escala Andrés , Rosdhal Joakim
Published: August 2024

Using subparsec-scale-resolution radiation+hydrodynamical adaptive mesh refinement simulations deployed with the RAMSES code, we study the dynamics of supermassive black hole (SMBH) binaries embedded in gaseous nuclear circumbinary disks, where we investigate the effects of active galactic nucleus feedback on the SMBH binaries' migration behavior and disk structure. The radiative feedback effects are modeled by injecting photons that interact with the gas, through the adoption of a grid of BH emission spectra. We run simulations with initial conditions that lead by pure gravity plus hydrodynamics both to the formation of a low-density tidal cavity and to systems where gas–viscous diffusion is efficient enough to maintain a sizable gas reservoir surrounding the binary. For gap-forming binaries we find that orbital evolution is unchanged with the inclusion of feedback, but ionizing radiation photoevaporates gas that is at the outer edge of the low-density region. For non-gap-forming systems we find that when feedback is included a strong initial disruption of the circumbinary disk is followed by an eventual stabilization of the medium that can usher a return to a fast binary migration regime. All of this is possible as a result of how our simulations capture the ionization states of the nuclear disk region and how this affects the coupling efficiency decrease with respect to the radiative feedback.
Neutron Star Atmosphere–Ocean Dynamics
Authors: Nättilä Joonas , Cho James Y-K. , Skinner Jack W. , Most Elias R. , Ripperda Bart
Published: August 2024

We analyze the structure and dynamics of the plasma atmospheres and Coulomb-liquid oceans on neutron stars. Salient dynamical parameters are identified and their values estimated for the governing set of magnetohydrodynamics equations. Neutron star atmospheres and oceans are strongly stratified and, depending on the rotation period, contain a multitude of long-lived vortices (spots) and/or narrow zonal jets (free-shear zones) in the large plasma-beta regime—i.e., β
p ≫ 1 (hydrodynamic regime). In contrast, when β
p ≲ 1 (magnetohydrodynamic regime), the flow is dominated by a global lattice of effectively fixed magnetic islands (plasmoids) without any jets. Understanding the spatiotemporal variability of dynamic atmospheres and oceans on neutron stars is crucial for interpreting observations of their X-ray emissions.
Strong Bow Shocks: Turbulence and an Exact Self-similar Asymptotic
Authors: DuPont Marcus , Gruzinov Andrei , MacFadyen Andrew
Published: August 2024

We show that strong bow shocks are turbulent and nonuniversal near the head but asymptote to a universal, steady, self-similar, and analytically solvable flow in the downstream. The turbulence is essentially 3D and has been confirmed by a 3D simulation. The asymptotic behavior is confirmed with high-resolution 2D and 3D simulations of a cold uniform wind encountering both a solid spherical obstacle and stellar wind. This solution is relevant in the context of (i) probing the kinematic properties of observed high-velocity compact bodies—e.g., runaway stars and/or supernova ejecta blobs—flying through the interstellar medium; and (ii) constraining stellar bow shock luminosities invoked by some quasiperiodic eruption models.
Proposal (39) to conserve the name Koelerietalia splendentis Horvatić 1973 as a nomen conservandum
Authors: Dengler Jürgen , Vassilev Kiril , Bergmeier Erwin
Published: August 2024

After a nomenclatural revision of the available names for the order of rocky grasslands of the Balkan Peninsula within the class Festuco-Brometea, based on Article 52 ICPN we propose the conservation of the name Koelerietalia splendentis against the name Halacsyetalia sendtneri. In syntaxonomic concepts not combining the limestone and serpentine rocky grasslands of the Balkans in a single order, the latter name would still be available as it is based on a different nomenclatural type.

(39) Koelerietalia splendentisHorvatić 1973 nom. cons. propos.

Typus: Chrysopogono grylli-Koelerion splendentisHorvatić 1973 (holotypus)

(=) Halacsyetalia sendtneriRitter-Studnička 1970

Typus: Potentillion visianiiRitter-Studnička 1970 (lectotypus: Kuzmanović et al. 2016)

Taxonomic reference: Mucina et al. (2016).

Abbreviations: ICPN = International Code of Phytosociological Nomenclature, 4th edition (Theurillat et al. 2021).
Project- and Research-Based Teaching in Civil Engineering
Authors: Bartels Niels , Stolz Katrin
Published: August 2024

Research-based practical applications are becoming increasingly important in providing valuable solutions to the challenges facing the construction industry. In this paper, we present a teaching concept that was implemented and evaluated in four courses, addressing the development of future-proof academic skills, particularly scientific working skills, in the field of civil engineering. The first evaluation results from a survey among the students who participated in the four courses are presented on the extent to which project-based and researchbased learning promote domain competences, planning, and study skills. The results indicate that, especially in master’s degree courses, future skills are improved by paper-based learning. Additionally, student motivation increases due to the boost in creativity and group work facilitated by the teaching concept. On the other hand, the results suggest that guidelines are necessary to implement paper-based learning, especially in bachelor’s degree courses. Furthermore, it is crucial that future-proof academic skills are relevant for success in the practical working context.
Otimismo e excesso de confiança, crise econômica e gerenciamento de resultados: Evidências brasileiras
Authors: Christopher dos Santos Wictor , Dos Prazeres Rodrigo , De Moura Soeiro Tiago , Gonçalves  Araújo Juliana
Published: August 2024

O objetivo deste artigo foi o de investigar a influência conjunta do viés do otimismo e do excesso de confiança e do período de crise econômica derivada da pandemia de Covid-19 sobre o gerenciamento de resultados. A amostra do estudo foi composta por 139 empresas não financeiras listadas na B3, considerando o período entre os anos 2012 e 2021. As análises foram conduzidas por meio da estimação de regressões com dados em painel, nas quais foram utilizados os accruals discricionários obtidos pelo modelo Dechow et al. (2012), a crise econômica capturada por uma variável dummy, e o viés do otimismo e do excesso de confiança mensurado pela análise de conteúdo dos relatórios de administração, seguindo a estratégia de Tran et al. (2020) que utilizam o Princípio de Pollyanna de Matlin e Stang (1978). Como resultados foram confirmadas as hipóteses de que o viés do otimismo e o excesso de confiança impacta positivamente no gerenciamento de resultados, e de que durante o período de crise econômica este impacto foi mais intenso, sobretudo com a finalidade de reportar resultados condizentes com as previsões enviesadas dos gestores.
How Universal Design for Learning Transformed My Teaching
Authors: Nicol Jana
Published: August 2024

The purpose of this chapter is to provide a summary of research and recommendations for implementing Universal Design for Learning (UDL) in the elementary school setting through a review of the literature (2016 – 2021), one teacher's account of UDL implementation with elementary school-aged students (K-5) in a fully inclusive public education system in New Brunswick, Canada, and the findings of action research undertaken through a partnership between the New Brunswick Department of Education & Early Childhood Development (EECD) and University of New Brunswick (2013 – 2015). The goal of the action research was to determine what tools will help facilitate the implementation of UDL in elementary school classrooms to improve student engagement. Implementing UDL in the elementary school setting results in observable gains in inclusion, student engagement, and academic achievement. Teachers can take a personalized and incremental approach to UDL implementation guided by CAST's UDL Guidelines.
A Case Study Examining One School's Trek Towards More Inclusive Practice
Authors: Lowrey K. Alisa , Howery Kathy , Troughton Leonard
Published: August 2024

The purpose of this chapter is to discuss an in-depth case study involving one school's mission to increase inclusive practices through the utilization of Universal Design for Learning paired with evidence-based practices. Specifically, a K-9 private school in Canada approached a research team about utilizing a measurement tool to measure the inclusion of students with autism spectrum disorders in inclusive classrooms. After much discussion, the researchers and team agreed upon a year-long course of action to improve services for all students within the school, including those with ASD. A course of intervention was outlined that included pieces such as a needs assessment, training coaches, multiple observation assessments, intermittent coaching, and scheduled professional development. The purpose of this chapter will be to discuss the overall plan designed as well as lessons learned along the way.
Achieving Genuinely Inclusive Bilingual K-12 Education
Authors: Fovet Frederic
Published: August 2024

This chapter examines the pervasive and perpetuated deficit model perspective which informs much of the second language instruction which occurs, in relation to diverse learners—particularly learners with disabilities—in the Canadian K-12 sector. The chapter argues that Universal Design for Learning (UDL) has a key role to play in shifting language teachers away from deficit model views in this context and has the potential to revolutionize the bilingual classroom. The chapter also demonstrates the extent to which UDL aligns seamlessly with communicative method approaches in second language instruction. The chapter explores and analyses phenomenological data drawn from the author's lived experience as a second language teacher over a decade. The chapter considers the repercussions of this reflection on pre-service teacher training, in-service professional development, and leadership practices for inclusion.
Insight Into Challenges During Rehabilitation of Stroke-Related Impairment in the Elderly
Authors: Mishra Kriti
Published: August 2024

Despite surviving an acute stage of an illness, geriatric people suffer from chronic impairment and disability. Improving quality of life in an ageing population is complicated with comorbidities, decreased psychological ability to cope, issues related to frailty, and wavering socio-economic circumstances. To achieve improved health or a near normal function up to premorbid level, special considerations for rehabilitation in geriatric population are required. The present chapter illustrates the above through case series of three geriatric patients, who suffered from stroke and despite receiving treatment from the primary physician and some rehabilitation inputs, these patients continued to show a decline. However, timely intervention and comprehensive assessment by the rehabilitation physicians brought forth significant factors hindering their rehabilitation, which were resolved through the multi-disciplinary and holistic approach of rehabilitation. Changes in the disabilities of these individuals reduced the burden on the caregivers/family members and reduced financial costs.
Challenges in Managing Malnutrition in the Elderly
Authors: Santos Julia , Cordovil Karen
Published: August 2024

Malnutrition in aging is currently considered a public health problem characterized by a multifactorial physiological state. Diverse and complex factors can contribute to the risk of developing malnutrition or even worsening. This chapter aims to provide a conceptual overview of malnutrition in elderly individuals, covering aspects related to nutritional assessment, monitoring, and recommendations, as well as possible challenges in managing this condition in clinical nutrition. The management is complicated and challenging. Nutritionists should perform interventions based on recommendations to prevent or minimize malnutrition in elderly individuals. Depending on the environment and the condition of the elderly patient, different therapeutic approaches will be needed to manage malnutrition. All family and health professionals involved with elderly care must stay engaged in preventing or identifying malnutrition in these patients.
Pelvic Floor Rehabilitation
Authors: Sheta Mervat
Published: August 2024

Pelvic floor muscles are like any muscles in the body which is affected by aging process. It is a highly complex structure which is made of pelvic floor muscles (PFMs) and an intricate neural network. This elaborate system must work in a highly integrated. Investigations for PFD in elderly are discussed such as clinical, urodynamic, manometric, imaging, and neurophysiologic assessments. Neurophysiological studies including pudendal nerve terminal motor study (PNTML) and pelvic floor electromyography (EMG) are essential to localize and assess the severity and mechanism of injury. The primary clinical aim during PFD management is to correct the anatomy of pelvic floor in order to preserve or restore its function. As a consequence, patients need careful clinical assessment, appropriate investigations, and counseling before embarking on a well-defined PFMT. When the patient is referred to physical therapy, the typical management process includes assessment of impairments, and determination of prognosis and interventional plan of care
Artificial Intelligence-Enabled Internet of Medical Things (AIoMT) in Modern Healthcare Practices
Authors: Shafik Wasswa
Published: August 2024

The integration of artificial intelligence (AI), the internet of things (IoT), with medical devices avails the recent development in the medical sector, specifically digital health, referred to as the internet of medical things (IoMT). AIoMT combines technologies like body movement detection, sleep monitoring, and rehab assessment, simplifying healthcare and offering personalized experiences. By leveraging AI, big data, mobile internet, cloud computing, and microelectronics, patient data is efficiently processed, enhancing healthcare's efficiency and personalization. During the pandemic, AI applications saved lives by streamlining data analysis. This chapter explores wearable medical electronics sensor architecture and addresses challenges like data security, aiming to elevate medical standards. It also outlines future research opportunities in AIoMT.
Advancements in Modern Medicine
Authors: C. D. Shakthivel
Published: August 2024

Recent years have witnessed transformative advances across several medical specialties, propelling the fields of diabetes management, heart failure, chronic kidney disease, infectious diseases, and cardiology into new frontiers. This chapter explores the multifaceted progress in these domains, driven by innovative pharmacological approaches, state-of-the-art technology, and the integration of novel diagnostic and prognostic biomarkers. In the realm of diabetes management, myriad developments from novel insulin formulations to artificial pancreas technology promise to redefine treatment strategies. In the fight against infectious diseases, the emergence of innovative diagnostic techniques and drug therapies has altered the landscape of patient care. Additionally, in the sphere of nephrology, the utilization of magnetic resonance imaging (MRI) biomarkers has expanded the diagnostic and prognostic toolkit. These advancements collectively represent the vanguard of medical progress, potentially ushering in a new era of enhanced patient care and improved health outcomes.
Generative Adversarial Networks in Neuroimaging
Authors: Dhanalakshmi R. , Anandan P. , Suryadevara Aneesh Gouri Kartheek , Singh Shivansh
Published: August 2024

A brain tumor is a growth of abnormal cells in the brain or near it. There are different types of brain tumors which can affect the brain and it can result in frequent strong headaches, blurred vision, and seizures. Recent studies show that cases of brain tumors are becoming more common in both genders, with a predicted 1.5% increase by 2030. To prevent this, deep learning has been introduced in the field of neuroimaging to predict the brain tumor in early stage. The deep learning model uses magnetic resonance imaging (MRI) images of the brain to detect any kind of tumor. But the challenging part is getting a suitable and sufficient dataset. If the dataset is not sufficient, it leads to overfitting issue. To tackle this, the authors have proposed a technique using deep convolutional generative adversarial network (DCGAN) to enhance the dataset which will improve tumor detection accuracy.
Hyperparameters and Tuning Methods for Random Forest Using Python Sklearn Package Relevant to Psychology Studies
Authors: Uludag Kadir
Published: August 2024

Machine learning (ML) is used to create well-functioning prediction models for predicting the prognosis of psychiatric disease or to distinguish the disease from other psychiatric diseases such as distinguishing schizophrenia from methamphetamine addiction. Parameter tuning is necessary to create optimum machine learning (ML) models that successfully produce solutions for classification or regression problems. ML methods such as random forest (RF) and support vector machine (SVM) are commonly used in prediction studies in both psychology and psychiatry literature for solving various complex problems. However, studies are not consistent in terms of ML methods since they may adopt different hyperparameter tuning strategies, or they may not report their use of the ML method. For example, some researchers may use autotuning ML methods while others may prefer designing the code by themselves without using default values of automatically designed ML methods. Thereby, it is important to identify and explain the methodologic aspects of the ML method to have a reproducible output.
Good Governance and Cybersecurity
Authors: Ebuzor Jean
Published: August 2024

This chapter delves into the critical role of effective governance in cybersecurity, emphasizing its importance, identifying challenges in implementation, and exploring key success factors using a case study. It examines various governance frameworks and their application in cybersecurity contexts, alongside the pivotal role of leadership. Additionally, it discusses emerging trends in governance and cybersecurity and proposes strategies for mitigating cyberattack risks, providing comprehensive insights for cybersecurity professionals and organisational leaders. The results indicate that despite the difficulties, good governance in cybersecurity can be achieved through the implementation of established frameworks. Success factors have been identified, including a robust IT infrastructure, effective incident planning and response, transparent communication, and a commitment to continuous improvement. By addressing these factors, organizations can establish a solid governance framework that promotes cyber resilience and safeguards sensitive data.
Navigating the Digital Skies
Authors: Kritika
Published: August 2024

The digital transformation in the tourism, aviation, and hospitality industries has led to unprecedented connectivity and productivity with the integration of automation and AI in operational processes. A robust and transparent industry is built on good governance and cyber security measures while understanding how effective management, security, safety compliance, accountability, transparency, and ethical standards contribute to the long-term success of these sectors that requires pervasive use of sustainable growth technologies while balancing the benefits of personalization with privacy concerns and regulatory compliance. The increased reliance on digital platforms raises concerns about data privacy dealing with data collection, storage and processing while considering the future prospects proactively with emerging technologies such as IoT, 5G, 6G, blockchain management and many more. The chapter delves on the role good governance and cyber security play in tourism, aviation and hospitality sectors while showcasing the possible future trends.
The Top 12 Technologies for Teaching and Learning in the Post-Pandemic Era
Authors: Tomei Lawrence A. , Maine Jesse , Moussa Karina , Holler Melissa B. , Hobbs Brianne , Austin Shannon
Published: August 2024

This chapter examines a suite of contemporary technologies used to deliver instruction – initially in a traditional classroom environment, and, most recently, in a virtual home-bound setting. Most readers were likely introduced to these tools well before the advent of the 2020-2022 COVID-19 pandemic. However, for these particular technologies, the demand for remote distance learning, student-centered instruction, and online delivery most certainly impacted the manner in which they were temporarily adopted or permanently infused into the curriculum. And, for most of these technologies, their continued use in both traditional and untraditional ways continues even now that the pandemic is behind us. The top twelve technologies explored in this chapter most certainly had their beginnings prior to the pandemic years. Yet, they were suddenly and without warning reinforced during the challenges of teaching from 2020-2022. Still, each technology has found its broadest application once students were welcomed back into the post-pandemic classroom. The examinations that follow begin with a description of each technology, its primary features, advantages and disadvantages, and additional resources that promoted its use before the pandemic reached critical mass forcing students and teachers alike to abandon the traditional classroom. This familiarization is followed by how each technology was integrated by sometimes hesitant faculty into the routine delivery of instruction when students were forced to remain at home for the better part of two years. Finally, with the pandemic now behind us, the chapter discusses ways in which faculty might continue to use these technologies to better deliver individualized instruction even in a predominantly traditional, face-to-face classroom.
Social Media Use and Ethical Behaviour of Students in Higher Education Institutions
Authors: Adetimirin Airen Edale
Published: August 2024

Use of technology for teaching and learning became necessary during the COVID 19 pandemic where higher education institutions (HEIs) had to close down and students were asked to go home. The use of technology became the ready tool to accomplish the abrupt academic calendar and programs with social media becoming a veritable tool as it enhances interaction between students and faculty, among the students and the learning resources. However, the use of social media is guided by rules and regulations and students are expected to adhere to such rules. Studies that reveal the ethical behaviour of students in the use of social media for teaching and learning are very few and this necessitates investigation especially in higher education institutions. This chapter highlights the types of social media used for teaching and learning, ethical behaviour of students, awareness of ethical issues in the use of social media by the students and the implication for higher education institutions.
Student Immersive Experiences Engaging With Panoramic Animations in the Post-Pandemic Era
Authors: Pei FangLing , Suki Norbayah Mohd , Suki Norazah Mohd , Muhaiyuddin Nadia Diyana Mohd
Published: August 2024

Panoramic animations provide a multisensory experience that can captivate students of varying learning abilities, ensuring that educational content is accessible and engaging for all. This study examines the influence of hedonic motivation, positive emotions, and immersive experiences on students' behavioral intentions engaging with panoramic animations in the post-pandemic era. Data were collected from a sample of 400 university students majoring in art in China using a convenience sampling technique. The results revealed a significant role of immersive technology in education, particularly in the context of post-pandemic teaching and learning. The results imply strong support for integrating panoramic animations in educational settings. This study paves the way for inventive and adaptive educational methods tailored to a post-pandemic era on the unique ability of immersive technologies to engage students more effectively than traditional approaches, enhancing their learning experience and catering to the evolved educational dynamics of the current era.
Leveraging Instructional Technology to Promote Post-Pandemic Learning and Student Engagement Among Children With Special Needs
Authors: Kibaara Janerose Kaithi
Published: August 2024

The study is guided by the following objectives: Teachers' perceptions of use of ICT and digital competencies in enhancing online learning in public primary schools in Kenya; the relationship between cognitive, behavioral, and emotional engagement on learners' instructional engagement; and the challenges facing teachers in their use of technology in teaching and learning in public and private primary schools in Kenya. The study employs an explanatory sequential mixed –methods approach. The final sample was 70 (n=70). Data was collected using questionnaires and interview schedules. The study revealed a positive perception of teachers towards education technology. The study recommends that educators and policy makers address the digital divide by ensuring equitable access to technology and internet connectivity for all students especially those with special needs, and concludes that technology has emerged as a big enabler. It recommends that further research is needed to investigate the long-term implications of online learning on academic achievement of learners with special needs.
Renewable Energy Sources for a Sustainable Worldwide Prospective
Authors: Katre Shweta , Kotti Jayasri , Joshi Namra , Pawar Nagorao , Pramanik Sabyasachi , Gupta Ankur
Published: August 2024

First of all, concerns about climate change and environmental damage, coupled with the depletion of fossil fuels, are driving global shifts towards renewable energy sources. Two especially notable and widely adopted alternatives that have the potential to change our energy landscape and mitigate the effects of global warming are wind and solar energy. As a sustainable resource, wind energy has evolved from simple windmills to intricate, high-tech wind turbines. It includes wind farms that are both onshore and offshore and is characterized by scalability, versatility, and capacity to use natural forces. Although there are challenges in incorporating wind energy into the present energy infrastructure, innovative solutions are emerging swiftly. The majority of solar energy is generated utilizing solar photovoltaic (PV) and concentrated solar power (CSP) technologies. Solar energy is an abundant and clean energy source. CSP methods focus sunlight to produce electricity and heat energy, whereas solar PV systems are very flexible and suitable for distributed production.
Role of Nano Technology in Improving the Energy Efficiency of a Material for Sustainable Buildings
Authors: Bahadur Preeti Singh , Bais Pratima
Published: August 2024

The need for sustainable building practices has never been greater in the world that is changing so quickly these days. Aiming to minimise their impact on the environment and boost energy efficiency, engineers and architects are always searching for new and creative materials that can satisfy these needs. Although nanotechnology has long been used in other scientific and technological domains, it is still relatively new in the architectural field. The challenge of nano architecture is to create new materials, add new properties, or improve existing materials that are used in building architecture or during the construction phase. When traditional wood is combined with nanotechnology, a nano-wood composite is created that has improved characteristics like mechanical strength, fire resistance, durability, and water immersion.
Filters and Life
Authors: Arranz-Paraiso Daniel , Arranz-Paraíso Sandra
Published: August 2024

Particle pollution, such as PM2.5 and PM10, poses a growing threat to human health and the environment. These particles come from natural sources like plant pollen, as well as human activities such as industry, traffic, and the wear and tear of materials like clothing or artificial turf. These microenvironmental components can cause respiratory problems such as cardiovascular diseases and allergies. Pollen is a significant example as it can trigger allergic rhinitis, conjunctivitis, and asthma. Moreover, pollen allergies can exacerbate other conditions such as atopic dermatitis. Radioactive microparticles, such as those released in the Fukushima nuclear accident, are also a major concern. These particles can persist in the environment for a long time and can cause severe health issues.
The Compatibility of Thermal and Acoustic Insulation in the Façades External Renovation in Residential Buildings
Authors: Diaz-Chyla Alexander
Published: August 2024

In recent years, a significant economic effort has been made in the refurbishment and energy improvement of buildings, which should be used to improve their acoustics performance. It is necessary to avoid energy improvement from deteriorating the pre-existing acoustic performance prior to the refurbishment. In this work, an analysis of the acoustic insulation of the façades of enclosures in residential buildings is carried out in which the thermal insulation of the blind part of the façade is improved on the outside without mullions and battens. The most important factor for the improvement of the airborne sound insulation of the blind side of the façade is that the dynamic stiffness of the external thermal cladding is as low as possible, and that the openings are solved with a double asymmetrical glazing and its air cavity is as thick as possible. The obtained results may be useful for all professionals involved in the construction process of building renovation: architects, engineers, developers, manufacturers, etc.
Socially Responsible Application of Artificial Intelligence in Human Resources Management
Authors: Gričnik Ana Marija , Mulej Matjaž , Žižek Simona Šarotar
Published: August 2024

Humankind faces growing artificial intelligence (AI) and AI-based applications, influencing almost every activity, including human resource management (HRM), revolutionizing humans' work nature and content, workers, workplaces, HRM processes, etc. AI can support various HRM practices, such as candidate selection, employee training, data analysis, evaluation, etc. If organizations appropriately utilize AI, they can enhance productivity and their general/individual work performance, streamline processes, and increase efficiency, ultimately improving employee engagement and well-being. Hence, organizations can use AI to stay ahead of their competitors and help develop an innovative sustainable socially responsible society (ISSRS) to overcome crises. AI should only be used as a tool and not to replace humans, which is essential for a creative, efficient, satisfying, and successful work environment.
Review of Literature on Student Motivation in Game-Based Learning Platforms
Authors: Tran Minh Tung
Published: August 2024

This review examines how game-based learning (GBL) can boost motivation, a key factor in learning success. GBL leverages the fun and engaging aspects of games to create interactive scenarios and challenges. This approach keeps learners interested, encourages exploration, and improves learning outcomes. The review explores the psychology behind this and identifies factors influencing GBL's effectiveness. By analyzing research and case studies, it highlights the potential of GBL to motivate students and improve education.