bluuebunny/crossref_metadata_2025 huggingface dataset:
PENDAMPINGAN PROGRAM DASHAT (DAPUR SEHAT ATASI STUNTING) DI DESA BOGOBOA
Authors: Keli Rufina , Ngao Theresia , Kaka Yakub Lere , Ladu Primus , Natal Yanuarius Ricardus , Bate Nikodemus
Published: February 2024

Stunting merupakan gambaran dari status gizi kurang yang bersifat kronik pada masa pertumbuhan dan perkembangan sejak awal kehidupan. Kejadian stunting dapat disebabkan oleh beberapa faktor seperti karakteristik keluarga dan balita serta asupan zat gizi yang kurang disertai dengan terjadinya penyakit infeksi pada anak. Pengabdian ini bertujuan untuk mengurangi jumlah stunting, perbaikan gizi untuk ibu hamil, dan ibu menyusui, serta bayi balita yang ada di wilayah desa Bogoba, kecamatan Soa, kabupaten Ngada melalui program DASHAT (Dapur Sehat Atasi Sunting). Program Dashat adalah upaya yang di lakukan oleh mahasiswa KKN STKIP Citra Bakti di desa Bogoboa agar anak-anak dapat tumbuh dan berkembang secara optimal dan maksimal. Metode yang digunakan adalah metode wawancara dan pendampingan. Dalam proses pelaksanaanya diawali dengan kegiatan wawancara dengan Kepala Puskesmas Soa mengenai data stunting yang ada di wilayah desa tersebut. Selanjutnya adalah pelaksanaan program DASHAT. Melalui program ini, membuka wawasan orang tua tentang pentingnya pencegahan stunting bagi anak melalui pembuatan makanan bergizi yang mendukung tumbuh kembang anak.
PELATIHAN EKSTRAKURIKULER PRAMUKA SIAGA UNTUK MENINGKATKAN KREATIVITAS DAN NILAI KARAKTER SISWA SDK ST. CAROLUS BOROMEUS MAGEKOBA, DETUKELI
Authors: Raga Maria Yosefina , Dhiu Lusia Florida , Lawe Yosefina Uge , Noge Maria Desidaria
Published: February 2024

Kegiatan ekstrakurikuler pramuka merupakan sarana yang tepat untuk membentuk kreativitas dan karakter peserta didik. Tujuan pelatihan adalah untuk mengungkap peran kegiatan ekstrakurikuler pramuka dalam pembentukan kreativitas dan karakter di SDK St. Carolus Boromeus Magekoba dengan target sasaran seluruh peserta didik yang berjumlah 60 orang dari kelas 1 sampai kelas 6. Metode yang digunakan dalam kegiatan pembentukan kreativitas dan karakter adalah pendampingan melalui beberapa tahap yakni tahap observasi, tahap perencanaan, dan tahap pelaksanaan. Faktor-faktor pendukungnya adalah sikap, pengetahuan, dan pengalaman yang dimiliki oleh pembina pramuka, kesadaran dan motivasi diri peserta didik, sarana dan prasarana, dukungan dari orang tua, dan masyarakat sekitar, sedangkan faktor penghambatnya adalah kurangnya minat peserta didik. Hasil pengabdian menunjukkan bahwa peran kegiatan ekstrakurikuler pramuka dalam pembentukan kreativitas dan karakter merupakan sarana yang tepat untuk membentuk kreativitas dan karakter peserta didik.
Maidanetske 2013
Authors: Müller Johannes , Hofmann Robert , Kirleis Wiebke , Dreibrodt Stefan , Ohlrau René , Brandstätter Lennart , Dal Corso Marta , Out Welmoed , Out Welmoed , Rassmann Knut , Burdo Natalia , Videiko Mykhailo
Published: February 2024

In European prehistory, population agglomerations of more than 10,000 inhabitants per site are an infrequent phenomenon. The unexpected discovery of the Trypillia mega-sites, excavated nearly 50
years ago by Soviet, Ukrainian and Moldavian archaeologists using a multidisciplinary approach, uncovered the remains of more than 2000 houses spread over 250 hectares. These extraordinary mega-sites
developed at the border of the North Pontic Forest Steppe zone ca. 4100–3400 BCE. One of the key mega-sites is Maidanetske in the Uman Region, Central Ukraine. In 2013, an interdisciplinary European
team of researchers started new excavations at the site, which were analysed under the frame of the Collaborative Research Centre SFB 1266 “Scales of Transformation”. The excavation
provoked many questions: why, how and under what environmental conditions did Trypillia mega-sites develop? How long did they last? Were social reasons responsible for transformation processes?
Firmamento: A Multimessenger Astronomy Tool for Citizen and Professional Scientists
Authors: Tripathi Dhurba , Giommi Paolo , Di Giovanni Adriano , Almansoori Rawdha R. , Al Hamly Nouf , Arneodo Francesco , Macciò Andrea V. , Puccetti Goffredo , Barres de Almeida Ulisses , Brandt Carlos , Di Pippo Simonetta , Doro Michele , Israyelyan Davit , Pollock A. M. T. , Sahakyan Narek
Published: February 2024

Firmamento (https://firmamento.hosting.nyu.edu) is a new-concept, web-based, and mobile-friendly data analysis tool dedicated to multifrequency/multimessenger emitters, as exemplified by blazars. Although initially intended to support a citizen researcher project at New York University–Abu Dhabi, Firmamento has evolved to be a valuable tool for professional researchers due to its broad accessibility to classical and contemporary multifrequency open data sets. From this perspective Firmamento facilitates the identification of new blazars and other multifrequency emitters in the localization uncertainty regions of sources detected by current and planned observatories such as Fermi-LAT, Swift, eROSITA, CTA, ASTRI Mini-Array, LHAASO, IceCube, KM3Net, SWGO, etc. The multiepoch and multiwavelength data that Firmamento retrieves from over 90 remote and local catalogs and databases can be used to characterize the spectral energy distribution and the variability properties of cosmic sources as well as to constrain physical models. Firmamento distinguishes itself from other online platforms due to its high specialization, the use of machine learning and other methodologies to characterize the data, and for its commitment to inclusivity. From this particular perspective, its objective is to assist both researchers and citizens interested in science, strengthening a trend that is bound to gain momentum in the coming years as data retrieval facilities improve in power and machine-learning/artificial-intelligence tools become more widely available.
Predicting the Arrival Time of an Interplanetary Shock Based on DSRT Spectrum Observations for the Corresponding Type II Radio Burst and a Blast Wave Theory
Authors: Li 李 Ran 冉 , Zhao 赵 Xinhua 新华 , Yan 阎 Jingye 敬业 , Wu 武 Lin 林 , Yang 杨 Yang 洋 , Lv 吕 Xuning 旭宁 , Feng 冯 Shiwei 士伟 , Ruan 阮 Mengsi 梦思 , Xiang 向 Nanbin 南彬 , Liang 梁 Yidan 一丹
Published: February 2024

Since fast head-on coronal mass ejections and their associated shocks represent potential hazards to the space environment of the Earth and even other planets, forecasting the arrival time of the corresponding interplanetary shock is a priority in space weather research and prediction. Based on the radio spectrum observations of the 16-element array of the Daocheng Solar Radio Telescope (DSRT), the flagship instrument of the Meridian Project of China, during its construction, this study determines the initial shock speed of a type II solar radio burst on 2022 April 17 from its drifting speed in the spectrum. Assuming that the shock travels at a steady speed during the piston-driven phase (determined from the X-ray flux of the associated flare) and then propagates through interplanetary space as a blast wave, we estimate the propagation and arrival time of the corresponding shock at the orbit of the Solar Terrestrial Relations Observatory-A (STEREO-A). The prediction shows that the shock will reach STEREO-A at 14:31:57 UT on 2022 April 19. The STEREO-A satellite detected an interplanetary shock at 13:52:12 UT on the same day. The discrepancy between the predicted and observed arrival time of the shock is only 0.66 hr. The purpose of this paper is to establish a general method for predicting the shock’s propagation and arrival time from this example, which will be utilized to predict more events in the future based on the observations of ground-based solar radio spectrometers or telescopes like DSRT.
Inferring the Solar Wind Velocity in the Outer Corona Based on Multiview Observations of Small-scale Transients by STEREO/COR2
Authors: Lyu Shaoyu , Wang Yuming , Li Xiaolei , Zhang Quanhao , Liu Jiajia
Published: February 2024

Based on the Heliospheric Imager-1 images of the STEREO twin spacecraft, we established the CORrelation-Aided Reconstruction (CORAR) technique to locate and reconstruct the 3D structures of solar wind transients in interplanetary space. Here, we extend the CORAR method to images of COR2 on board STEREO to study the evolution of small-scale transients in the outer corona from 2010 January to May. We confirm that the transients can be located and reconstructed well by comparing the results with those of a self-similar expanding model. The speed distribution of the reconstructed transients generally shows the typical characteristics of the slow solar wind. We further study the sources of the transients on the Sun, and find that most reconstructed transients are located near the top of streamer belts or the heliospheric current sheet and can be tracked back to the boundaries of the closed-field and open-field regions along the field lines extrapolated by corona models. The formation mechanisms of these transients in the slow solar wind are also discussed.
Seroprevalence and risk factors of Toxoplasma gondii infection among pregnant women
Authors: Barzgar Gholamreza , Ahmadpour Ehsan , Kohansal Mohammad Hasan , Mehrani Moghaddam Sirous , Jafari Koshki Tohid , Barac Aleksandra , Nissapatorn Veeranoot , Paul Alok K , Micić Jelena
Published: February 2024

Introduction: Toxoplasma gondii is an obligate intracellular parasite affecting a broad range of warm-blooded animals, including humans. Infection acquired during pregnancy can be transmitted to the fetus and leading to serious problems such as spontaneous abortion, stillbirth, or severe mental and/or physical handicaps in the child. The purpose of this study was to investigate the seroprevalence of Toxoplasma infection and related risk factors in pregnant woman.
Methodology: The study enrolled 1200 serum samples of pregnant women from February-November 2017. Then the samples were tested for the presence of anti-T. gondii antibodies (Ab) using enzyme-linked immunosorbent assay.
Results: Out of the 1200 samples, 381 (31.7%) and 41 (3.4%) subjects were positive for IgG and IgM Ab, respectively. Among the evaluated risk factors, the seroprevalence of Toxoplasma infection was not related to the occupation in a significant way. However significant relationship was observed with factors such as; contact with soil, cats, consumption of raw washed vegetables, and washed hands before meals.
Conclusions: According to the results, more than two-thirds of pregnant women are susceptible to Toxoplasma infection, hence training health care programs should be provided to prevent infection.
Clinical characteristics and risk factors of non-mild outcomes in patients with Omicron variant COVID-19 in Shanghai, China
Authors: Zhu Wen , Wang Haowei , Zhou Hai , Cheng Lei , Weng Chao
Published: February 2024

Introduction: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant rapidly appeared in Shanghai, China in early March 2022. Although a few studies have analyzed the risk factors of the severe type, identifying risk factors for non-mild COVID-19 outcomes (general/severe/critical type) which occur with radiographic evidence of pneumonia is lacking.
Methodology: The COVID-19 patients admitted to a district-level designated hospital from April 26 to May 21 were enrolled in this retrospective study. The clinical manifestations and laboratory examinations were analyzed. Logistic regression was employed to evaluate risk factors for non-mild outcomes.
Results: Of the 311 patients, 196 (63.0%) were mild and 115 (37.0%) were non-mild. Among them, 215 cases (69.1%) were unvaccinated. Male, ≥ 60 years age, and chronic kidney disease were risk factors of progressing to non-mild. Patients with more than two comorbidities were more likely to become non-mild, whereas two/booster doses vaccinated patients had a lower risk of developing to non-mild. The median negative conversion days (NCDs) were 12 days. Non-mild, > 2 comorbidities, delayed admission (> 3 days), and Paxlovid (Pfizer, Freiburg, Germany) treatment significantly lengthened the NCDs.
Conclusions: Our results call for special concern for full and booster vaccination of the elderly, which will effectively protect from progression of COVID-19 to non-mild state. In the meantime, symptomatic COVID-19 patients should be treated as soon as possible.
The association of dietary patterns with latent tuberculosis infection among young adults: A case-control study in Shanghai
Authors: Siyu Yu , Shihong Li , Yang Liu , Yue Jiang , Fengzhu Cai , Shaotan Xiao , Lipeng Hao , Gengsheng He
Published: February 2024

Introduction: In developing and underdeveloped countries, undernutrition plays a major role in subverting the immune system, leading to an increase in TB infections; this study investigated the associations between dietary patterns and latent tuberculosis infection risk among young adults in Shanghai.
Methodology: In a case-control study, 96 cases of latent tuberculosis infection and 192 healthy controls were studied among contacts of students in clusters of tuberculosis epidemics in colleges from January 2021 to March 2023. A standardized questionnaire assessing sociodemographic, lifestyle, and dietary characteristics was applied. Food intake was estimated using a 95-item semiquantitative Food Frequency Questionnaire. Using the principal component analysis to extract dietary patterns from food groups intake. Logistic regression models were applied.
Results: Four dietary patterns were identified: “traditional balanced” pattern, “unsaturated fatty acid” pattern, “snack” pattern, and “protein and fruit” pattern. Four components explaining 64.52% of the total variation in consumption were derived. In a conditional logistic regression analysis, three models were created. After adjusting for various confounders, compared to “snack” pattern, the risk of latent TB infection was 91% lower in the “traditional balanced” pattern (OR 0.05, 95% CI 0.01, 0.38, p = 0.004).
Conclusions: To prevent TB infection among young adults living in high TB burden areas, a balanced dietary pattern rather than a "snack” pattern should be promoted in school settings. Future research should explore the risk of developing active tuberculosis in Mtb-infected people with different dietary patterns and the prevention of this risk by healthy dietary patterns.
Seroprevalence of Hepatitis B virus and human immunodeficiency virus co-infection in pregnant women from Osun State, Nigeria
Authors: Bejide Ifeoluwa O , Kayode Tolulope A , Ebagua Angel E , Obayendo Oghenetega D , Mere Divine O , Newman Abasianam B , Obi-Odunukwe Amarachukwu M , Fadare Ademola K , Ahmed Muhammad I , Adeyemi-Kayode Temitope M , Folarin Onikepe A
Published: February 2024

Introduction: Hepatitis B virus and human immunodeficiency virus (HBV/HIV) co-infection is a global health concern due to its significant impact on morbidity and mortality. Reports of HBV/HIV co-infections are increasing in Nigeria, but information on the disease burden in pregnant women and its implications on the fetus is scarce. This study aimed to determine the prevalence of HBV/HIV co-infection in pregnant women. In addition, the study identified the risk factors for the disease in pregnant women attending antenatal clinics in Osun State, Nigeria.
Methodology: We collected plasma samples from 303 consenting pregnant women and used enzyme-linked immunosorbent assay (ELISA) to test for HBV (HBsAg) and HIV I/II antigens. We obtained demographic and risk factor data on HBV and HIV transmission using a structured questionnaire.
Results: Our analysis revealed a prevalence of 3.96% for HBV/HIV co-infection in pregnant women. Bivariate analysis indicated a history of blood transfusion, oral or anal sex, and multiple sexual partners may be associated with an increased likelihood of HBV/HIV co-infection in pregnant women. After adjusting for other variables in multivariate analysis, none of these risk factors were significant at the 5% level. In contrast, formal education was a potential preventive factor in this population.
Conclusions: Our study provides valuable information on the disease burden of HBV/HIV co-infection in pregnant women in Osun State, Nigeria, highlighting the importance of routine screening for HBV and HIV during antenatal care and emphasizing the importance of implementing preventive measures to reduce the morbidity and mortality associated with HBV/HIV co-infection.
Substrate complexity reduces prey consumption in functional response experiments: Implications for extrapolating to the wild
Authors: Oishi Elizabeth M. , Kattler Kiara R. , Watkins Hannah V. , Howard Brett R. , Côté Isabelle M.
Published: February 2024

Understanding the density-dependent impacts of an invasive predator is integral for predicting potential consequences for prey populations. Functional response experiments are used to assess the rate of prey consumption and a predator’s ability to search for and consume prey at different resource densities. However, results can be highly context-dependent, limiting their extrapolation to natural ecosystems. Here, we examined how simulated habitat complexity, through the addition of substrate in which prey can escape predation, affects the functional response of invasive European green crabs (Carcinus maenas) foraging on two different bivalve species. Green crabs feeding on varnish clams (Nuttallia obscurata) shifted from a Type II hyperbolic functional response in the absence of substrate to density-independent consumption when prey could bury. Green crabs ate few Japanese littleneck clams (Venerupis philippinarum) under all densities, such that no functional response curve of any type could be produced and their total consumption was always density independent. However, the probability of at least one Japanese littleneck clam being consumed increased significantly with initial clam density and crab claw size across all treatments. At mean crab claw size and compared to trials without substrate, the proportion of varnish clams consumed were 4.2 times smaller when substrate was present, but substrate had a negligible effect (1.2 times) on Japanese littlenecks. The proportion of varnish clams consumed increased with crab claw size and were higher across both substrate conditions than the proportion of Japanese littlenecks consumed; however, the proportion of Japanese littleneck clams consumed increased faster with claw size than that of varnish clams. Our results suggest that including environmental features and variation in prey species can influence the density-dependent foraging described by functional response experiments. Incorporating replicable features of the natural environment into functional response experiments is imperative to make more accurate predictions about the impact of invasive predators on prey populations.
Normalized solutions for pseudo-relativistic Schrödinger equations
Authors: Sun Xueqi , Fu Yongqiang , Liang Sihua
Published: February 2024

In this paper, we consider the existence and multiplicity of normalized solutions to the following pseudo-relativistic Schrödinger equations

   \begin{document}$ \begin{equation*} \left\{ \begin{array}{lll} \sqrt{-\Delta+m^2}u +\lambda u = \vartheta |u|^{p-2}v +|u|^{2^\sharp-2}v, & x\in \mathbb{R}^N, \ u>0, \\ \ \int_{{\mathbb{R}^N}}|u|^2dx = a^2, \end{array} \right. \end{equation*} $\end{document}

where $ N\geq2, $ $ a, \vartheta, m > 0, $ $ \lambda $ is a real Lagrange parameter, $ 2 < p < 2^\sharp = \frac{2N}{N-1} $ and $ 2^\sharp $ is the critical Sobolev exponent. The operator $ \sqrt{-\Delta+m^2} $ is the fractional relativistic Schrödinger operator. Under appropriate assumptions, with the aid of truncation technique, concentration-compactness principle and genus theory, we show the existence and the multiplicity of normalized solutions for the above problem.
Migrations, Citizenships, and the Right and Choice to Play for a National Football Team with a Focus on the Croatian National Team
Authors: Iveta Vladimir , Rajković Iveta Marijeta
Published: February 2024

Contemporary national football teams mirror numerous migration processes. The research was focused on the formation of football teams, examples of migrations of national team members, and changes in international rules (civil and sports citizenship, options of playing for the national team). The analysis of examples of footballers who have chosen to play for a country other than their country of birth shows multiple practices. However, the most prominent choice is to represent their parents’ country of origin. The research results contribute to studies on obtaining privileged citizenship and opportune citizenship, to integration theories, and to studies of elite migration.
Postmigracijska estetika: Avtofikcijsko narativno delovanje v pisanju Dijane Matković in vizualnem ustvarjanju Anne Ehrenstein
Authors: Kobolt Katja
Published: February 2024

Pričujoče besedilo osvetli postmigracijsko estetiko skozi prizmo koncepta »postmigracije« in analizo avtofikcijskih pristopov, posebej pripovednega delovanja (angl. narrative agency), v romanu Zakaj ne pišem (2021) avtorice Dijane Matković in v izbranih vizualnih delih umetnice Anne Ehrenstein. S predlogom pojma »metapripovedne nadidentifikacije« kot kritičnega poistovetenja z od zunaj vsiljenimi kategorijami besedilo pokaže, kako avtorici skozi pripovedno delovanje kritizirata družbeno konstrukcijo »pristnosti« in s tem produkcijo družbenih razlik ter artikulirata odpor proti hegemonialni dihotomni predstavi družbe, zaradi katere nekateri vsled razreda, kraja rojstva (staršev), etnije, narodnosti, rase in spola »pripadamo«, drugi pa (p)ostanemo »tujci«.
Transforming School Organisational Culture Through a Contextually Relevant Change Leadership Approach Within a Pakistani Urban Private School
Authors: Fernandes Venesser
Published: February 2024

This chapter focuses on the transformative journey of a K-12 Pakistani urban private school in moving from autocratic-charismatic leadership practices to distributed-strategic leadership practices through the use of a total quality management change leadership approach integrated over two years. This study found that distributed educational leadership practices are developed at the school level through contextually relevant change leadership approaches that focus on sustained and continuous school improvement. The chapter provides insights into possibilities for further developing school organisational culture through emphasis given to collaborative and strategic decision-making practices amongst senior-level, middle-level, and teacher-level leaders in urban private schools in Pakistan.
Adaptive Primary School Design
Authors: Güzelci Orkan Zeynel
Published: February 2024

This chapter explores the strategies for adapting existing buildings in a way that respects both cultural and environmental sustainability. It specifically focuses on the adaptive reuse of the Adana Former Archaeology Museum, exploring its transformation into a primary school in response to post-pandemic needs. The primary goal is to demonstrate the potential of adaptive reuse of heritage buildings for contemporary educational purposes while preserving their cultural essence. The methodology involves a teaching experiment (case study) with undergraduate interior design students, who develop various scenarios and spatial designs for the museum's transformation. This case study offers practical insights into the challenges and opportunities of adaptive reuse in architecture and interior design. The chapter highlights adaptive reuse's major implications for educational leaders, emphasizing the importance of creating dynamic, flexible, and adaptable learning environments.
Digitalization of Education in a School on the Basis of Microsoft Teams Platform
Authors: Hlazunova Olena H. , Korolchuk Valentyna I. , Voloshyna Tetiana V.
Published: February 2024

Educational institutions need a transformation in the methods and tools of organizing education. It is caused by technological evolution and external challenges, such as pandemics or wars. Effective organization of synchronous and asynchronous learning at school based on the Microsoft Teams platform is key to a successful transition to a distance (blended) format. The chapter presents modern approaches and methods of using Microsoft Teams to organize the learning process in synchronous and asynchronous modes. Models for the organization of synchronous and asynchronous interaction in schools are proposed. Criteria and indicators for evaluating the Microsoft Teams environment as a tool for synchronous and asynchronous interaction in modern conditions have been developed: functionality, reliability, effectiveness, interaction, availability, security and privacy, technical support, and assistance. The results of an experimental study evaluating the effectiveness of using Microsoft Teams for synchronous and asynchronous training are presented.
Building a Tech-Savvy Workforce
Authors: Vetrivel S. C. , Mohanasundaram T.
Published: February 2024

In today's rapidly evolving technological landscape, businesses are increasingly recognizing the importance of building a tech-savvy workforce. The demand for digital skills is skyrocketing, and organizations must adapt to remain competitive in the digital age. This chapter explores the significance of re-skilling strategies in cultivating a tech-savvy workforce and outlines key approaches for success. The digital revolution has transformed the workplace, rendering traditional skill sets obsolete and creating a pressing need for continuous learning and re-skilling. The emergence of disruptive technologies like artificial intelligence, machine learning, and automation has reshaped industries, demanding a workforce that can effectively harness and leverage these tools. To meet this challenge, organizations must develop comprehensive re-skilling strategies that address both the current and future skill gaps within their workforce.
The Use of Digital and Disruptive Technologies in the Artificial Intelligence Era
Authors: Vargas-Hernandez José G. , Castañeda-Burciaga Selene , Guirette-Barbosa Omar Alejandro , Vargas-Gonzàlez Omar C.
Published: February 2024

This study aims to analyze the emergent and disruptive digital technologies in an era of artificial intelligence (IA). It departs from the assumption that the emerging technologies create both opportunities and challenges with an impact on individuals, organizations, institutions, and society at large in terms of bias, surveillance, hacking, etc. The method employed is the critical analysis based on the recent developments reported in scientific literature. It is concluded that control over the ethical disruption of digital technologies and more specifically artificial strategy must require a digital conversation and leadership about acceptable ethical behaviors under the assumption that digital transformation cannot be interrupted and must be guided by humans.
The Integration of Artificial Intelligence in Developing Human Resources
Authors: Kakar Tarinni , Lanns-Isaac Verley V. J. , Crowder Cindy L.
Published: February 2024

Even an organization that has reached its limit of growth needs to adapt to the changing environment and technological advancements. Artificial intelligence applications can help transform routine cycles into ones that are more competent, objective, and thorough and will increase its capabilities for stability and renewal. This chapter will explore the beneficial work of AI-based insight on human resource development functions by promoting a supportive organizational culture, encouraging data-driven decision making, fostering employee growth and development, and encouraging openness and communication.
Investing in Artificial Intelligence (AI) for Business Leaders to Enhance Decision-Making
Authors: Sedky Ahmed
Published: February 2024

Decision-making is a high-risk process for businesses' life cycle worldwide. Wrong decisions by business leaders may lead to business closure in critical situations for all firms, including small and medium-sized enterprises. Leaders invest in artificial intelligence to improve their decision-making capabilities and contribute to their businesses' sustainability. Grounded in Herbert Simon's decision-making theory, the purpose of this chapter's multiple case study was to explore why artificial intelligence may enhance business leaders' decision-making. Three business leaders from different organizations in the United States and UAE's real estate properties industry participated in this research. Data were collected through semi-structured interviews and from a review of previous literature. A key recommendation for firms is to invest in artificial intelligence. Artificial intelligence may allow business leaders to improve decision-making, reduce the potential risk of closure, extend business opportunities, and positively contribute to communities' stability and growth.
Transformative Power of Artificial Intelligence in Decision-Making, Automation, and Customer Engagement
Authors: Nalini R.
Published: February 2024

In the modern business landscape, innovation has become a key driver of success and competitive advantage. To foster innovation within their organizations, leaders play a crucial role in harnessing the synergy between data, technology, design, and people. This integration allows them to effectively address real-world challenges on a large scale, driving transformation and growth. At the heart of AI's contribution to data-driven decision-making lies its ability to process vast datasets with remarkable efficiency. Traditional manual analysis methods are not only time-consuming but also prone to human biases and errors. AI, on the other hand, is driven by data, allowing it to make objective assessments devoid of human preconceptions. This not only enhances decision accuracy but also provides a solid foundation for devising strategies that align with actual market trends and customer preferences.
Developmental Supervisory Advancements
Authors: Badawy Hesham R. I. , Alkaabi Ahmed M. , Mohsen Wissal A. , Alblooshi Khadija Mousa
Published: February 2024

This chapter serves as an indispensable resource for educational leaders, offering a comprehensive exploration of developmental supervision's (DS) multifaceted impact in educational contexts. Rooted in a dynamic theoretical framework, it underscores developmental supervision's role in cultivating environments conducive to self-reflection, sustained learning, and pedagogical advancement. Drawing from psychology, education, and leadership studies, it exemplifies DS as a collaborative, data-driven practice significantly elevating teaching quality and student achievement. The chapter vividly illustrates the diverse applications of DS, spotlighting how observation, feedback, coaching, mentoring, and technology synergize to augment its efficacy. Robust empirical evidence reveals its substantial impact emphasizing advancements in teaching quality, student engagement, and academic achievement. By urging further empirical scrutiny and innovative strategies, the chapter positions DS as a cornerstone of educational leadership, underpinning the quest for comprehensive school improvement.
Navigating the Legal Landscape
Authors: Alqodsi Enas Mohammed , Jadalhaq Iyad Mohammad , Hadi El Maknouzi Mohammed El , Abdulhay Imad Eldin Ahmad
Published: February 2024

This research delves into the legal implications surrounding the adoption of artificial intelligence (AI) in the field of education and explores the corresponding responsibilities of teachers. As AI continues to shape the educational landscape, it becomes crucial to understand and navigate the legal framework governing its implementation. The study examines the legal challenges and considerations that arise when integrating AI technologies in educational settings and specifically focuses on the responsibilities that teachers bear in this context. By examining relevant laws, regulations, and policies, the research aims to provide valuable insights into the legal landscape of AI adoption in education and assist teachers in fulfilling their obligations while leveraging AI technologies responsibly.
Piloting Community-Based Learning Experiences to Enhance Teacher Preparation
Authors: Grant Brooke L.
Published: February 2024

This chapter explores the reimagining of a teacher preparation program to integrate community-based learning experiences into its curriculum. The shift was sparked by a pivotal experience that compelled the author to investigate ways in which aspiring teachers might engage with the local community in meaningful, authentic, and nonhierarchical ways. The chapter provides a detailed account of the steps taken to incorporate community-based learning experiences into the curriculum and highlights the numerous benefits self-reported by teacher candidates. While locations and communities differ for all educators, the author hopes to inspire other teacher educators to embark on a similar journey and offers practical guidance for implementation.
Book Banning Across the Disciplines
Authors: Gierhart Aaron R. , Crews Emily G. , Lewza Mary
Published: February 2024

Book banning and censorship has increased in recent years, particularly in the United States, as conservative state governments target literature and wider discourse around various matters of diversity. The team of authors—an honors scholarship mentor and two honors students—engaged in a critical reflection around the issue of book banning and its impacts on their disciplines of teacher education, biology, and elementary education. Interviews with educators and authors from episodes of the lead author's podcast, some of which were facilitated by the honors students, are cited to illustrate the authors' individual reflections. Conclusions and implications for the authors' future lines of inquiry and, more broadly, future practice in honors education at postsecondary institutions are disseminated.
Harnessing Data Analytics and Marketing Intelligence for Sustainable Marketing Innovation
Authors: Tchanturia Nino , Dalakishvili Rusudan
Published: February 2024

Amidst swiftly evolving consumer behaviors and environmental concerns, businesses must innovate marketing strategies sustainably. This chapter delves into the role of data analytics and marketing intelligence in driving such innovation. It begins by elucidating the contemporary marketing landscape shaped by digitalization, globalization, and environmental consciousness. The narrative navigates the multifaceted realm of data analytics, big data, machine learning, and predictive analytics to gain insights into consumer behavior and preferences. Marketing intelligence's centrality is underscored, emphasizing real-time, actionable data for decision-making in the fast-paced marketing environment. The chapter explores the synergy between data analytics, marketing intelligence, and sustainability, illustrating how organizations can align strategies with sustainability goals. The chapter emphasizes the transformative potential of data-driven insights in addressing marketing challenges responsibly, contributing to a more sustainable future for businesses in today's dynamic landscape.
Examining the Impacts of Course Outcome Analysis in Indian Higher Education
Authors: Venkatasubramanian Vimalnath , Chitra M. , Sudha R. , Singh Vinay Pratap , Jefferson K. , Boopathi Sampath
Published: February 2024

Course Outcome Analysis (COA) is a crucial tool in Indian higher education, enhancing educational quality and aligning programs with industry standards. It defines measurable learning outcomes, promotes student-centered learning, and ensures transparency between curriculum, assessment, and learning objectives. The College of Advanced Studies (COA) is a system aiming to improve student performance and achievement by aligning teaching practices with learning outcomes and developing effective assessments. It also enhances students' employability and qualifications. Despite facing challenges like resistance, resource limitations, standardization issues, and equity concerns, COA has the potential to revolutionize Indian higher education by enhancing quality, preparing students for the modern world, and addressing equity and inclusive concerns.
A Study on the Complex Nature of Higher Education Leadership
Authors: Prabhuswamy M. , Tripathi Ruchi , Vijayakumar M. , Thulasimani T. , Sundharesalingam P. , Sampath Boopathi
Published: February 2024

This chapter explores the complex nature of Hispanic identity in higher education and engineering, highlighting its influence on cultural heritage, family values, education, and socioeconomic factors. It highlights the challenges faced by Hispanic leaders, including underrepresentation, unconscious bias, limited opportunities, and the delicate balance between preserving cultural identity and assimilating into societal norms. Despite these challenges, Hispanic leaders can contribute diverse perspectives, advocate for change, and serve as inspirational role models. Strategies include continuous education, mentorship, diversity advocacy, and cultural pride celebration. Building inclusive work environments is crucial for creating equitable educational and professional landscapes, and inclusive leadership is a continuous learning journey.
Implications Between Organizational Anthropology and Organizational Sustainability
Authors: Vargas-Hernandez José G. , Orozco-Quijano Elsa Patricia , Vargas-Gonzàlez Omar C.
Published: February 2024

This study has the purpose to analyze the implications between the organizational anthropology and organizational sustainability in organization studies. It departs from assuming that anthropology is a new field that has an impact on the study of organizations and organizational sustainability. The method used is the meta-analytical leading to reflection of the conceptual, theoretical, and empirical literature review. It is concluded that the anthropology applied to organizations has an impact on organizational sustainability.
Organizational Sustainability, Legitimacy, and Multinational Companies
Authors: Divrik Bahar
Published: February 2024

The aim of this book chapter is to anlayze how internationalization of multinational companies affect organiational sustainability. Organizational sustainability has a contrasting perspective with respect to the dual effects of internationalization on sustainability strengths (being good) and sustainability concerns (being bad). On one side, it is discussed that internationalization improves organizational sustainability strengths as multinational enterpreises, which are mainly dependent on foreign sales, are highly motivated to adopt organizational sustainability as a global business norm. Such norm‐conformity overcomes the liability of origin and legitimacy challenge in foreign markets. On the other hand, it is contended that internationalization also increases organizational sustainability concerns because subsidiaries of multinationals are susceptible to being decoupled from the headquarters' organizational sustainability policy.
Positive Interventions at Work
Authors: Singha Ranjit , Singha Surjit
Published: February 2024

This chapter examines the vital role of positive psychology in fostering employee well-being and promoting long-term organizational sustainability in an era of workplace transformation and heightened sustainability concerns. It reveals the intricate relationship between employee well-being and sustainability, highlighting the positive impact of nurturing employee experiences, resilience, and a growth mindset on engagement, productivity, and long-term success by drawing on extensive research and real-world examples. This chapter also provides practical advice, such as stress management tools, strategies for work-life balance, and techniques for promoting positive workplace relationships. Ethical considerations, challenges, and emergent trends in positive interventions are discussed, and the paper concludes with a call for organizations to embrace positive psychology for a more sustainable and prosperous future.
A Novel Approach for Object Recognition Using Decision Tree Clustering by Incorporating Multi-Level BPNN Classifiers and Hybrid Texture Features
Authors: Kumar Upendra
Published: February 2024

This work proposes a novel approach to object recognition, particularly for human faces, based on the principle of human cognition. The suggested approach can handle a dataset or problem with a large number of classes for classification more effectively. The model for the facial recognition-based object detection system was constructed using a combination of decision tree clustering based multi-level Backpropagation neural network classifier-TFMLBPNN-DTC and hybrid texture feature (ILMFD+GLCM) and applied on NS and ORL databases. This model produced the classification accuracy (±standard deviation) of 95.37 ±0.951877% and 90.83 ± 1.374369% for single input and 96.58 ±0.5604582% and 91.50 ± 2.850439% for group-based decision for NS and ORL database respectively. The better classification results encourage its application to other object recognition and classification issues. This work's basic idea also makes it easier to improve classification management for a wide range of classes.
Design and Application of Legal Information Systems Based on Big Data Technology
Authors: Wang Ying
Published: February 2024

China's exploration of the legal application of big data is still far from thorough enough. This article proposes a universal suitable for hierarchical big data storage systems, which can quickly add new cache policies when needed and provide cache scheduling strategies. The neural training algorithm used in legal information systems implements a complete parallel computing framework for large-scale neural network training, supporting distributed storage and management of large-scale sample data. The experimental results show that the framework has good scalability and fault tolerance, and can quickly train legal information systems, improving their efficiency and response speed. This provides new ideas and methods for the design and development of legal information systems.
Forecasting Water Demand With the Long Short-Term Memory Deep Learning Mode
Authors: Xu Junhua
Published: February 2024

Traditional methods often fall short in modeling the nonlinear, seasonally variable nature of urban water demand. This proposed solution is an integrated ARIMA-LSTM deep learning model, combining ARIMA's proficiency in linear trend and seasonal modeling with LSTM's strength in capturing nonlinear time dependencies. In these experiments, the authors trained and evaluated using daily water demand data from 2015 to 2020, with its performance validated for the year 2021. The ARIMA-LSTM model demonstrates promising results, outperforming individual models in terms of accuracy. In validation, it achieves a high coefficient of determination (R2) of 0.98 and a significantly low root mean square error (RMSE) of 2.94. These metrics indicate an excellent fit to the data and a high level of precision in its predictions. The significance of this research lies in its potential to advance the field of urban water demand forecasting, ultimately contributing to better water resource management and sustainability in urban areas.
Intentional and Responsible
Authors: Keefer Robert , Zohar Nadav , Douglas Lisa J.
Published: February 2024

Unintended consequences of technology are ubiquitous and often negative. Certain communities, the Amish for example, have minimized these consequences by understanding and agreeing upon the social values they seek to preserve, and by making technology choices based on these values. Although similar strategies are not widely implemented in Western society, technology developers should be intentional and responsible about the impact of their work. Existing design strategies that deal with values (e.g., contextual design) focus on adapting to business culture rather than preserving social values. This article proposes a new process model that focuses on articulating social values during the design phase as a method by which to evaluate the attributes of the system being developed, and discusses a planned experimental design intended to measure the effectiveness of this approach. By considering the relationship between design decisions and social values, this model may result in a design strategy that is both intentional and responsible.
What Single Cell RNA Sequencing Has Taught Us about Chronic Obstructive Pulmonary Disease
Authors: Sin Don D.
Published: February 2024

Chronic obstructive pulmonary disease (COPD) affects close to 400 million people worldwide and is the 3rd leading cause of mortality. It is a heterogeneous disorder with multiple endophenotypes, each driven by specific molecular networks and processes. Therapeutic discovery in COPD has lagged behind other disease areas owing to a lack of understanding of its pathobiology and scarcity of biomarkers to guide therapies. Single cell RNA sequencing (scRNA-seq) is a powerful new tool to identify important cellular and molecular networks that play a crucial role in disease pathogenesis. This paper provides an overview of the scRNA-seq technology and its application in COPD and the lessons learned to date from scRNA-seq experiments in COPD.
Role for Caspase-8 in the Release of IL-1β and Active Caspase-1 from Viable Human Monocytes during Toxoplasma gondii Infection
Authors: Pandori William J , Matsuno Stephanie Y , Shin Ji-Hun , Kim Samuel C , Kao Tiffany H , Mallya Sharmila , Batarseh Sarah N , Lodoen Melissa B
Published: February 2024

Monocytes are actively recruited to sites of infection and produce the potent proinflammatory cytokine IL-1β. We previously showed that IL-1β release during Toxoplasma gondii infection of primary human monocytes requires the NLRP3 inflammasome and caspase-1 but is independent of gasdermin D and pyroptosis. To investigate mechanisms of IL-1β release, we generated caspase-1, -4, -5, or -8 knockout (KO) THP-1 monocytic cells. Genetic ablation of caspase-1 or -8, but not caspase-4 or -5, decreased IL-1β release during T. gondii infection without affecting cell death. In contrast, TNF-α and IL-6 secretion were unperturbed in caspase-8 KO cells during T. gondii infection. Dual pharmacological inhibition of caspase-8 and RIPK1 in primary monocytes also decreased IL-1β release without affecting cell viability or parasite infection. Caspase-8 was also required for the release of active caspase-1 from T. gondii–infected cells and for IL-1β release during infection with the related apicomplexan parasite Neospora caninum. Surprisingly, caspase-8 deficiency did not impair synthesis or cleavage of pro–IL-1β, but resulted in the retention of mature IL-1β within cells. Generation of gasdermin E KO and ATG7 KO THP-1 cells revealed that the release of IL-1β was not dependent on gasdermin E or ATG7. Collectively, our data indicate that during T. gondii Infection of human monocytes, caspase-8 functions in a novel gasdermin-independent mechanism controlling IL-1β release from viable cells. This study expands on the molecular pathways that promote IL-1β in human immune cells and provides evidence of a role for caspase-8 in the mechanism of IL-1β release during infection.