bluuebunny/crossref_metadata_2025 huggingface dataset:
JWST COMPASS: A NIRSpec/G395H Transmission Spectrum of the Sub-Neptune TOI-836c
Authors: Wallack Nicole L. , Batalha Natasha E. , Alderson Lili , Scarsdale Nicholas , Adams Redai Jea I. , Aguichine Artyom , Alam Munazza K. , Gao Peter , Wolfgang Angie , Batalha Natalie M. , Kirk James , López-Morales Mercedes , Moran Sarah E. , Teske Johanna , Wakeford Hannah R. , Wogan Nicholas F.
Published: August 2024

Planets between the sizes of Earth and Neptune are the most common in the Galaxy, bridging the gap between the terrestrial and giant planets in our solar system. Now that we are firmly in the era of JWST, we can begin to measure, in more detail, the atmospheres of these ubiquitous planets to better understand their evolutionary trajectories. The two planets in the TOI-836 system are ideal candidates for such a study, as they fall on either side of the radius valley, allowing for direct comparisons of the present-day atmospheres of planets that formed in the same environment but had different ultimate end states. We present results from the JWST NIRSpec G395H transit observation of the larger and outer of the planets in this system, TOI-836c (2.587 R
⊕, 9.6 M
⊕, T
eq ∼ 665 K). While we measure average 30-pixel binned precisions of ∼24 ppm for NRS1 and ∼43 ppm for NRS2 per spectral bin, we do find residual correlated noise in the data, which we attempt to correct using the JWST Engineering Database. We find a featureless transmission spectrum for this sub-Neptune planet and are able to rule out atmospheric metallicities <175× solar in the absence of aerosols at ≲1 mbar. We leverage microphysical models to determine that aerosols at such low pressures are physically plausible. The results presented herein represent the first observation from the COMPASS (Compositions of Mini-Planet Atmospheres for Statistical Study) JWST program, which also includes TOI-836b and will ultimately compare the presence and compositions of atmospheres for 12 super-Earths/sub-Neptunes.
SCUBA-2 Ultra Deep Imaging EAO Survey (STUDIES). V. Confusion-limited Submillimeter Galaxy Number Counts at 450 μm and Data Release for the COSMOS Field
Authors: Gao 高 Zhen-Kai 振凱 , Lim 林 Chen-Fatt 征發 , Wang 王 Wei-Hao 為豪 , Chen 陳 Chian-Chou 建州 , Smail Ian , Chapman Scott C. , Zheng Xian Zhong , Shim Hyunjin , Kodama Tadayuki , Ao Yiping , Chang 張 Siou-Yu 修瑜 , Clements David L. , Dunlop James S. , Ho Luis C. , Hsu 徐 Yun-Hsin 允心 , Hwang Chorng-Yuan , Hwang Ho Seong , Koprowski M. P. , Scott Douglas , Serjeant Stephen , Toba Yoshiki , Urquhart Sheona A.
Published: August 2024

We present confusion-limited SCUBA-2 450 μm observations in the COSMOS-CANDELS region as part of the James Clerk Maxwell Telescope Large Program SCUBA-2 Ultra Deep Imaging EAO Survey. Our maps at 450 and 850 μm cover an area of 450 arcmin2. We achieved instrumental noise levels of σ
450 = 0.59 mJy beam−1 and σ
850 = 0.09 mJy beam−1 in the deepest area of each map. The corresponding confusion noise levels are estimated to be 0.65 and 0.36 mJy beam−1. Above the 4σ (3.5σ) threshold, we detected 360 (479) sources at 450 μm and 237 (314) sources at 850 μm. We derive the deepest blank-field number counts at 450 μm, covering the flux-density range of 2–43 mJy. These are in agreement with other SCUBA-2 blank-field and lensing-cluster observations but are lower than various model counts. We compare the counts with those in other fields and find that the field-to-field variance observed at 450 μm at the

R
=
6
′

scale is consistent with Poisson noise, so there is no evidence of strong 2D clustering at this scale. Additionally, we derive the integrated surface brightness at 450 μm down to 2.1 mJy to be

57.3

−
6.2

+
1.0

Jy deg−2, contributing to 41% ± 4% of the 450 μm extragalactic background light (EBL) measured by Cosmic Background Explorer and Planck. Our results suggest that the 450 μm EBL may be fully resolved at

0.08

−
0.08

+
0.09

mJy, which extremely deep lensing-cluster observations and next-generation submillimeter instruments with large aperture sizes may be able to achieve.
Feedback in Emerging Extragalactic Star Clusters, FEAST: The Relation between 3.3 μm Polycyclic Aromatic Hydrocarbon Emission and Star Formation Rate Traced by Ionized Gas in NGC 628
Authors: Gregg Benjamin , Calzetti Daniela , Adamo Angela , Bajaj Varun , Ryon Jenna E. , Linden Sean T. , Correnti Matteo , Cignoni Michele , Messa Matteo , Sabbi Elena , Gallagher John S. , Grasha Kathryn , Pedrini Alex , Gutermuth Robert A. , Melinder Jens , Kotulla Ralf , Pérez Gustavo , Krumholz Mark R. , Bik Arjan , Östlin Göran , Johnson Kelsey E. , Bortolini Giacomo , Smith Linda J. , Tosi Monica , Maji Subhransu , Faustino Vieira Helena
Published: August 2024

We present maps of ionized gas (traced by Paα and Brα) and 3.3 μm polycyclic aromatic hydrocarbon (PAH) emission in the nearby spiral galaxy NGC 628, derived from new JWST/NIRCam data from the Feedback in Emerging extrAgalactic Star clusTers (FEAST) survey. With this data, we investigate and calibrate the relation between 3.3 μm PAH emission and star formation rate (SFR) in and around emerging young star clusters (eYSCs) on a scale of ∼40 pc. We find a tight (correlation coefficient ρ ∼ 0.9) sublinear (power-law exponent α ∼ 0.75) relation between the 3.3 μm PAH luminosity surface density and SFR traced by Brα for compact, cospatial (within 0.″16 or ∼7 pc) peaks in Paα, Brα, and 3.3 μm (eYSC–I). The scatter in the relationship does not correlate well with variations in local interstellar medium metallicity, due to a radial metallicity gradient, but rather is likely due to stochastic sampling of the stellar initial mass function (IMF) and variations in the PAH heating and age of our sources. The deviation from a linear relation may be explained by PAH destruction in more intense ionizing environments, variations in age, and IMF stochasticity at intermediate to low luminosities. We test our results with various continuum subtraction techniques using combinations of NIRCam bands and find that they remain robust with only minor differences in the derived slope and intercept. An unexpected discrepancy is identified between the relations of hydrogen recombination lines (Paα versus Brα; Hα versus Brα).
OO Leo: An Active Contact Binary with Possible Solar-like Differential Rotation
Authors: Meng Zi-Bin , Wu Pei-Ru , Yu Yun-Xia , Hu Ke , Xiang Fu-Yuan
Published: August 2024

With Transiting Exoplanet Survey Satellite (TESS) high-precision photometry and Large Sky Area Multi-object Fiber Spectroscopic Telescope medium-resolution spectra, we present the first light and radial velocity curve analyses for the eclipsing binary OO Leo. The simultaneous solution suggests that OO Leo is a W-subtype contact binary with a relatively low mass ratio (1/q = 0.173) and a moderate degree of contact (f = 28.1%). The asymmetry and continuous changes observed in the TESS light curve were properly modeled by one retrograde cool spot on its secondary surface. A detailed investigation of the Hα line also confirmed that the secondary star had a high level of magnetic activity. The retrograde longitudinal motion of the spot can be explained by a solar-like differential rotation in the secondary component. The orbital period investigation revealed that OO Leo is undergoing a secular decrease and a cyclic variation in its orbital period. The secular decrease may be mainly caused by mass transfer from the more massive secondary star to the less massive primary star. The cyclic period variation can be explained by the light–time effect of an invisible third body or the cyclic magnetic activity of the secondary star. The long-lived spot migration in the longitudinal direction makes OO Leo an excellent target for investigating the differential rotations of contact binaries.
Toward a Live Homogeneous Database of Solar Active Regions Based on SOHO/MDI and SDO/HMI Synoptic Magnetograms. II. Parameters for Solar Cycle Variability
Authors: Wang Ruihui , Jiang Jie , Luo Yukun
Published: August 2024

Solar active regions (ARs) determine solar polar fields and cause solar cycle variability within the framework of the Babcock–Leighton dynamo. The contribution of an AR to the polar field is measured by its dipole field, which results from flux emergence and subsequent flux transport over the solar surface. The dipole fields contributed by an AR before and after the flux transport are referred to as the initial and final dipole fields, respectively. For a better understanding and prediction of solar cycles, in this paper, we provide a database including AR's initial and final dipole fields and the corresponding results of their bipolar magnetic region (BMR) approximation from 1996 onward. We also identify the repeated ARs and provide the optimized transport parameters. Based on our database, we find that although the commonly used BMR approximation performs well for the initial dipole field, it exhibits a significant deviation for the final dipole field. To accurately assess an AR’s contribution to the polar field, the final dipole field with its real configuration should be applied. Despite the notable contributions of a few rogue ARs, approximately the top 500 ARs ordered by their final dipole fields are necessary to derive the polar field at the cycle minimum. While flux transport may increase or decrease the dipole field for an individual AR, its collective impact over all ARs in a cycle is a reduction in their total dipole field.
A new loach species of the genus Vanmanenia (Actinopterygii: Cypriniformes: Gastromyzontidae) from hill streams of Vietnam
Authors: Dang Huong Thi Thanh , Duong Huyen Thi , Li Fan , Nguyen Huy Quang , Tran Hau Duc
Published: August 2024

Recent ichthyofauna surveys in Phia Oac-Phia Den National Park, Vietnam, yielded 16 specimens of loach representing the genus Vanmanenia. These specimens were uniform in morphology and distinct from known species, leading to the designation of a new species, Vanmanenia ducisp. nov. This species is distinguished from congeners by the following combination of characters: pectoral fin: I, 15; pelvic fin: I, 8; lateral line scales 77–83; the distance from the anus to the posterior insertion of the pelvic fin being greater than from the anus to the anal fin origin; a lateral black stripe from the gill opening to the caudal fin base; a black spot at the caudal fin origin equal to the eye diameter; and a lower lip with three large papillae, with the middle one being larger. The new species differs from Vanmanenia caldwelli (Nichols, 1925) by its mouth soft-tissue structures and lower morphometric values and from Vanmanenia ventrosquamata (Mai, 1978) and Vanmanenia caobangensis Nguyen, 2005 by having more lateral line scales and lower body depth. Additionally, Vanmanenia ducisp. nov. has a larger eye and wider interorbital space compared to other species in Vietnam. This species is found in the Red River basin in Vietnam and the Bang Giang River flowing into China, indicating high potential for freshwater fish diversity in these river systems.
Relationships of Cretaceous Ripiphoridae (Coleoptera) based on larval morphology, with evidence for the same reproduction timing and chosen microhabitat for oviposition
Authors: Batelka Jan , Weingardt Michael , Bock Bernhard L. , Beutel Rolf G.
Published: August 2024

Five specimens of primary larvae of Ripiphoridae (Insecta: Coleoptera) are reported from one piece of Cretaceous Kachin amber. They represent two morphotypes: one conicocephalate and one belonging to the tribe Ripidiini (represented by four specimens). The conicocephalate morphotype is compared with similar larvae known from Kachin, Taimyr and Manitoba Cretaceous amber, and the larvae of Ripidiini are compared with their Cretaceous, Eocene and extant relatives. Phylogenetic analyses were performed to establish a working hypothesis about possible relationships of both lineages. The results, which conform with a recent molecular phylo­geny, indicate that the larvae described here belong to Ripidiini or are closely related, respectively. To allow taxonomic and systematic work with conicocephalate larvae from Kachin amber, a collective group name †“Ripilarva” nov. is proposed here to accommodate these immature stages. Both species of †“Ripilarva” nov. from Kachin amber are described: †“R.” parabolicasp. nov. and †“R.” kachinensissp. nov. Syninclusion of †“Ripilarva” kachinensissp. nov. and four larvae of a species of Ripidiini indicate that females of both ripiphorids chose the same time and microhabitat for oviposition in the Kachin Cretaceous forest. The results are further verified by the use of UV-photography, as the different larval morphotypes occurred in the same resin flow. The presence of larvae of Ripidiini in clusters contrary to the solitary occurrence of †“Ripilarva” nov. in Cretaceous amber of Russia, Canada, USA, and Myanmar is interpreted as a possible result of different oviposition strategies, with different numbers of eggs deposited at one spot.

﻿Graphical abstract
Comment les pratiques administratives contribuent à rendre invisibles socialement des populations
Authors: Clavel Gilbert
Published: August 2024

La question de l’invisibilité sociale peut s’aborder sous deux angles : comme question du regard et de l’écoute, deux préalables à la prise en compte des personnes et du traitement des problématiques sociales. Or les logiques administratives et la réponse sociale ont tendance à ne pas voir, à ne pas entendre ce que les usagers demandent, à ne pas répondre à leurs situations réelles, voire à les décourager de faire valoir leurs droits. L’enquête menée sur une cinquantaine de situations a répertorié un certain nombre de dysfonctionnements : cloisonnements administratifs, complexité des dispositifs et des démarches, fonctionnement bureaucratique, gestion dématérialisée, etc. Il en ressort un malaise des travailleurs sociaux qui bricolent des solutions, des processus psychiques chez les usagers qui les poussent à s’autoexclure.
Social Media Use and Psychological Distress Among Undergraduate Nursing Students: A Review
Authors: Davis Chloe E. , Eche-Ugwu Ijeoma Julie , Alcindor Nadia
Published: August 2024

Background:

Undergraduate nursing students experience high stress and use social media sites at high rates. Yet, there is a paucity of literature focused on understanding the association between social media use and psychological distress among undergraduate nursing students.

Method:

Guided by Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA), a systematic review was conducted on the association between social media use and psychological distress among undergraduate nursing students.

Results:

Ten articles met the inclusion criteria. Most of the included studies used cross-sectional designs. The findings indicated that undergraduate nursing students who followed social media sites were more likely to report symptoms of psychological distress, particularly significant depressive and anxiety symptoms.

Conclusion:

Undergraduate nursing students who use social media are likely to experience psychological distress. Combined interventions focused on minimizing social media use and reducing academic stress may help foster the psychological health of nursing students.

[
J Nurs Educ
. 2024;63(8):540–545.]
Mentoring Experiences of New Nontenured Faculty in Undergraduate Nursing: A Qualitative Study
Authors: Sandiford Dione , Birnbaum Shira , Thomas-Hawkins Charlotte
Published: August 2024

Background:

Mentoring is crucial for professional development and retention of newly hired nurse faculty, yet little is known about the actual mentoring experiences of clinical nurses in their first few years following transition into academic teaching.

Method:

Individual semistructured interviews were conducted with 23 full-time nontenure-track faculty from 10 higher education institutions in seven states in the United States. All of the faculty were in the first 3 years of teaching in 4-year undergraduate nursing programs.

Results:

Five themes emerged: (1) chaotic work environments characterized by unpredictable workloads, absence of reliable support, and inconsistent access to information; (2) a de facto do-it-yourself system in which nurses pieced together their own support; (3) reliance on personal social networks; (4) yearning for real mentorship; and (5) future plans about staying in the role.

Conclusion:

A gap exists between widely touted recommendations about mentoring and the reality of mentoring for newly hired nontenure-track faculty.

[
J Nurs Educ
. 2024;63(8):525–532.]
Fundamentals of Nonsuicidal Self-Injury in Pediatric Patients
Authors: Green Bernacki Carolyn
Published: August 2024

Nonsuicidal self-injury (NSSI) is deliberate self-inflicted injury to one's own body without suicidal intent. There is a high prevalence of NSSI among adolescents, especially in adolescents with history of adverse childhood events and intense reactive emotions. Pediatricians are commonly the first point of contact for adolescents and preadolescents with mental health concerns, and knowledge of how to elicit and respond to reports of NSSI are critical in identifying, supporting, and making appropriate referrals to behavioral health providers. Appropriate referrals include a psychiatric assessment by a child and adolescent psychiatrist and licensed therapist. Therapy targets NSSI by identifying the function of the behavior for the patient and finding ways to obtain that function safely using coping skills. Pediatricians should consider their role in setting the tone for families to engage in productive mental health treatment, with the goal of having the adolescent and caregiver work collaboratively to use healthy coping skills.

[
Pediatr Ann
. 2024;53(8):e280–e282.]
Body Mass Index in the Pediatric Population: Understanding Its History and Current Applications
Authors: Diaz Kane Molly M.
Published: August 2024

Body mass index (BMI) is a tool that is commonly used to screen for obesity. There are advantages and limitations of the use of BMI in the pediatric population. It is an inexpensive and easily implemented tool that can provide insight for clinicians, patients, and caregivers. It may help guide the discussion of the potential health impacts of weight, although there are both practical and philosophical limitations to its use. Clinicians should be aware of the nuances of the use of BMI in practice. This article covers a brief history of the BMI, how it is used in pediatrics, its advantages and limitations, as well as strategies for using BMI to facilitate discussions with patients and families.

[
Pediatr Ann
. 2024;53(8):e275–e277.]
A new fixed point approach for solutions of a $ p $-Laplacian fractional $ q $-difference boundary value problem with an integral boundary condition
Authors: Ahmadkhanlu Asghar , Afshari Hojjat , Alzabut Jehad
Published: August 2024

We explored a class of quantum calculus boundary value problems that include fractional $ q $-difference integrals. Sufficient and necessary conditions for demonstrating the existence and uniqueness of positive solutions were stated using fixed point theorems in partially ordered spaces. Moreover, the existence of a positive solution for a boundary value problem with a Riemann-Liouville fractional derivative and an integral boundary condition was examined by utilizing a novel fixed point theorem that included a $ \mathfrak{a} $-$ \eta $-Geraghty contraction. Several examples were provided to demonstrate the efficacy of the outcomes.
Enhancing Teacher Readiness and Retention in STEM Education Through PCK Development
Authors: Tsarkos Athanasios
Published: August 2024

STEM education is a constantly expanding area that proposes a holistic approach to teaching science and technology in order for students to gain crucial 21st-century skills. This approach's inception highlighted the educator's readiness to adopt new or alter current teaching techniques. The multiple issues and obstacles that starting teachers confront in their early careers, as well as new teaching requirements, have exacerbated the already high rates of attrition and turnover, making the function of STEM pedagogical content knowledge (PCK) more important than ever. As a result, the goal of this chapter is to provide a review of the literature on the potential of STEM-PCK to improve teacher preparation and retention. Taking into account new educational data after the outbreak of the pandemic, the chapter suggests and demonstrates projects based on transnational collaborations that would facilitate the exchange of best practices in higher education to support teachers.
The Ties That Bind
Authors: Drelick Alicia M. , Cormier Kerry K.
Published: August 2024

In this chapter we critically explore the role of teacher education programs in supporting early career educators, especially those trained in inclusive education and Disabilities Studies in Education. We highlight novice teachers' transition challenges, including the loss of foundational mentorship and the struggle to maintain an inclusive teacher identity in real-world settings. Focusing on the evolution of teacher preparation towards social justice and inclusive education, the chapter examines the experiences of first-year teachers, emphasizing the disconnect between inclusive training and the demands of the education system. To address these challenges, the authors review a year-long support project for alumni, incorporating critical conversations and activities to manage emotional challenges and promote transformative change. They conclude by advocating for ongoing engagement between teacher preparation programs and alumni, emphasizing the importance of this support in empowering educators to enact educational reform and maintain their commitment to social justice and inclusive pedagogies.
Sustaining in the Profession
Authors: Moore Adam M. , Dennis Danielle V. , Deeney Theresa , Brown Tashal
Published: August 2024

This chapter will detail how one university in the United States was funded by the federal government through the Office of Special Education Programs (OSEP) to partner with local school districts and community agencies to address the shortage of teachers of color in the special education profession. This chapter will detail how the authors co-constructed a project through which historically minoritized educators, who have often been systematically excluded from the teaching profession, are fully funded and mentored as they complete a master's degree and educator certification in special education.
Cultivating Sensibility
Authors: Açıkgöz Ece K. , Kesmez Mehmet İlhan
Published: August 2024

This chapter explores an introductory design course for architectural education, emphasizing the importance of transcending conventional standards and embracing uncertainty. Rooted in objectivism and existentialism, it encourages students to question assumptions and explore beyond the visible. Through a semester's experience of carefully curated assignments and iterative processes, it displays how design principles are culminated in the synthesis of accumulated knowledge into visionary design solutions. It highlights the transformative journey of preparing students to navigate the complexities of creative challenges and contribute meaningfully to the design profession. Through comprehensive exploration of curriculum development and student learning experiences, it offers insights into the interplay between theoretical principles and practical application in design education, providing practical implications for educators, curriculum developers, and policymakers aiming to foster the next generation of creative thinkers and innovative problem solvers in design and architecture.
Digital Explorers/Digitalized Explorations
Authors: Yıldırım Senem , Özen Yavuz Arzu
Published: August 2024

First year design education is one of the most challenging stages of architectural education. Although first-year architectural design studio mainly follows the footsteps of Bauhaus Ecole in many institutions focusing on establishing an abstract way of thinking while preparing students for upcoming architectural design studios, some institutions design their curriculum to address the fundamentals of architectural design in the first year. Gazi University's Department of Architecture follows this path where first year education is treated as a stage where abstract thinking is introduced, while also acting as an intermediary step to use basic design thinking to design habitable units. Focusing on Architectural Project II, the chapter explores the teaching methodologies of first-year design studio taught at Gazi University and aims to present the specific pedagogies, design strategies, and students' approaches to first-year education on the project conducted during Spring semester of 2021 titled Digital Explorers/Digitalized Explorations: Distant Urban Interventions to Istanbul's Kadıköy.
Beyond the Planetary Architecture
Authors: Ažman Momirski Lucija
Published: August 2024

The design studio is an enjoyable experience and a creative atmosphere in a community of young students and their supervisors, where new ideas and imaginative design proposals emerge. The design studio can be complemented by workshops in the form of short-term courses, which are a dynamic component bringing students and practice together. In general, workshops are a quality-control tool to evaluate the themes and processes of a design studio. The design studio topics are very diverse, and the students had to discover all the fundamental questions of dwelling from scratch; they had to question every detail of the starting point of the design. Working beyond planetary architecture offered students the opportunity not only to develop innovative designs, but also to address the essential reasons for habitation. A critical review of the projects was offered to the students at the end of the design studio course by external students and supervisors, and some projects were refined by more precisely defining the values they represent or carry.
Women's Role in Farm Management
Authors: S. C. Vetrivel , K. C. Sowmiya , V. Sabareeshwari , V. P. Arun
Published: August 2024

The role of women in farm management has evolved significantly over the years, transforming agriculture into a more inclusive and sustainable sector. This chapter explores the multifaceted contributions of women in various aspects of farm management, shedding light on their pivotal role in shaping agricultural practices, fostering community development, and promoting environmental sustainability. In contemporary agriculture, women actively engage in diverse farm management tasks, ranging from crop cultivation and livestock rearing to financial planning and marketing strategies. While historically overlooked, their involvement has become indispensable to the success and resilience of farming enterprises. Women's participation in decision-making processes, resource allocation, and technological adoption have demonstrated positive impacts on productivity, resource efficiency, and overall farm profitability.
Empowerment of Women in Farming
Authors: Jarial Sapna , Abdullahi Ali , Kaur Jaspreet , Sandhu Harpinder Singh
Published: August 2024

Since its start in 1993, the Farmer Field School (FFS) programme has trained farmers to use fewer pesticides and integrated pest management (IPM) methods, which has led to higher crop yields and profits. Although women contribute significantly to agriculture, the term 'farmer' still has a male connotation whenever it is used. Therefore, the present systematic review examined the FFS impact and challenges on women farmers. FFS trained men; only after 2010 did women's integration in FFS increase. Impacts for both sexes included enhanced knowledge, incomes, sustainable practices, social capital, and food security. However, challenges persist in FFS, such as financial constraints, inadequate curricula, and gender barriers. Recommendations include tailoring FFS to women's needs, policy integration, multimodal training, rigorous impact evaluations, and exploring digital agriculture convergence. Inclusivity of men is crucial for gender equity and extend FFS's resources for sustainable agricultural development.
A Case Study From Kurukshetra District Examines How to Empower Women and Include Them in the Financial Scheme
Authors: Vats Ritu , Clonia Reeta , Tanwar Anita
Published: August 2024

Women's influence on society's growth is undeniable, and they play a crucial role in shaping both the family and society as a whole. Gender parity today is necessary for long-term economic expansion. This chapter's main goal is to investigate the current state of women's involvement in banking and financial operations. The study looks on the connection between women's societal empowerment and financial inclusion. Two hundred rural women from Kurukshetra District were enlisted for the study in order to collect data on their comprehension of the various financial schemes, subsidies, and services offered by the Indian government. The next step was to create 13 questions. Excel was used to evaluate the study's precision and importance. The study findings show that women are very interested in banking and financial services, that financial inclusion has a modest but positive impact on women's empowerment, that there is still a long way to go, and that women's illiteracy, dependence, and ignorance are still barriers to their empowerment.
The Impact of Personal Information in E-Commerce
Authors: Casaca Joaquim A. , Rosário Albérico Travassos
Published: August 2024

The collection of personal data from consumers is a key factor in the success of e-commerce. However, there is a risk that online companies may use this information for purposes other than those stated at the time of carrying out the transactions. Consumers make a trade-off between the benefits of disclosing personal information and the costs associated with the risks of that information being used unethically by companies. This chapter aims to analyze the role of personal information in the growth and success of e-commerce, as well as the privacy and security concerns issues associated with personal information disclosure through a systematic literature review. The review includes 84 articles published in the Scopus® database, presenting up-to-date knowledge on the topic. The main conclusion is that e-commerce is an issue involving three different stakeholders: online companies, consumers, and the government, where each of them has an important role to play.
Emerging Trends in Data-Driven Marketing
Authors: Behare Nitesh , Chaudhari Meghasham , Sharma Suraj , Sane Ajit Chandrakant , Kharate Sunita , Waghulkar Shrikant , Mekhe Suhas , Pawar Priyanka
Published: August 2024

This chapter aims at exploring the evolving landscape of marketing in view of emerging technologies, consistently changing methodologies and integration of data science and marketing. This chapter will drive in understanding the impact of AI, blockchain, IoT, and AR/VR on marketing strategies, in conjunction with the emerging techniques like sentiment analysis, predictive analytics, and cross-channel integration. Anticipated developments in the field of data driven marketing highlight hyper-personalization, real-time marketing, and ethical considerations, whereas implications encompass data governance, agile marketing, and evolution of necessary skillset. The chapter also emphasizes the significance of uninterrupted innovation and adaptation in the marketing technologies to navigate the complications in the ecosystem of data-driven marketing.
Machine Learning Models for Alzheimer's Disease Detection
Authors: Bharathi Indira , Swarnasudha M. , Manjula S. , Poornima I. Gethzi Ahila
Published: August 2024

This chapter offers an in-depth exploration of gadget gaining knowledge of models for Alzheimer's ailment detection, with a particular cognizance on deep mastering methods. Alzheimer's disease is a complicated and debilitating neurological disorder, and early detection is vital for powerful remedy and control. The usage of machine getting to know techniques has proven notable potential in enhancing the accuracy and efficiency of Alzheimer's ailment detection. via a comprehensive review and evaluation of modern literature, this chapter objectives to offer a complete review of the unique machine learning fashions, inclusive of traditional and deep gaining knowledge of methods, used for Alzheimer's sickness detection. The chapter will also discuss the blessings and obstacles of these fashions and spotlight ability regions for future research. ordinary, this paper aims to make a contribution to the developing frame of understanding at the utility of machine mastering in Alzheimer's ailment detection and offer insights for enhancing the accuracy and effectiveness of early prognosis.
Digital Human Resources Management Strategy
Authors: Çark Özgür
Published: August 2024

The aim of this study is to discuss digital human resources management elements and strategies in a social and economic environment expressed by concepts such as Industry 4.0 and Society 5.0. This study includes a detailed literature review on digital transformation technologies in human resources management and digital human resources management strategies. As a result of a detailed literature review, it is understood that new generation digital technologies such as the internet of things, cloud computing, artificial intelligence, robotics, and big data cause radical changes in the field of human resources management, just like in other areas of the business. It is understood that with the strategies developed in the field of human resources, it is possible to benefit from the constructive effects of these technologies by protecting them from their destructive effects. This study offers a holistic perspective with a detailed examination of the studies on digital transformation and digital strategy in human resources management, especially in the last 10 years.
Embedding Professionals and Collaboration in the Organizational Change Context
Authors: Willems Marja A. J. , Matheus van Houten Maarten
Published: August 2024

Change in schools often concerns improving education, originating in the aim to align learning and outcomes with societal and labor market needs. Change is often dictated by policy and management, yet generally translated, integrated, and effectuated by education professionals, who see their practice continuously changing. Approaching the matter with a combination of systems approach and social constructivism, this chapter aims to analyze change and improvement in schools from the perspective of educators, who through their daily practice and professionalism constitute and breath school changes. It does so by examining managerialism, self determination theory, and professional identity as a foundation for a more practical approach to team learning. Distributed leadership and other recommendations are provided to bridge tensions and distance between educators, management, and leadership.
Does Your Brain Have a Buy Button?
Authors: Bhardwaj Surbhi , Kaushik Neeraj , Arora Manpreet
Published: August 2024

In this competitive world, the human senses and their responsiveness play a vital role in influencing consumer behavior and purchase patterns. Brands are using neuromarketing to employ different sensory tactics to cover the maximum market share and connect with customers. Marketers use neurosciences techniques to connect with customers on emotional and behavioral aspects, known as the sensory branding approach. This trending approach of neuromarketing helps brands to create synergy in marketing with the creative use of psychology and neurosciences to make strategies for different customers at same time. The chapter aims to explore how brands use sensory emotional connections with customers to influence them to purchase. Using a conceptual approach for this chapter, it is explained what the sensory branding uses to create a powerful brand fit strategy for different customer profiles. The author observed that marketers faced challenges and used different kinds of techniques related to neuro sensory branding which help to understand consumer and make emotional bond.
Steering Generative AI Toward Beneficence
Authors: Amini Mitra , Tewari Veena , Morande Swapnil , Kukreti Mohit , Mishra Amitabh
Published: August 2024

As generative AI advances, deepfakes are proliferating in sophistication and accessibility, spurring an arms race between media synthesis and detection. This chapter traces the evolution of deepfakes, focusing on algorithms like GANs, VAEs in enhancing realism, and predicts future trajectories, including hyper-realistic media, streamlined creation, and widespread benign and malicious adoption. Despite constructive applications in entertainment, education, marketing and medicine, threats loom regarding misinformation, consent violations, and propagating social biases. The authors emphasize the need for comprehensive solutions through public awareness campaigns, advanced digital forensics, ethical legal frameworks, incentivizing “blue sky” innovation, and social media oversight. Navigating societal implications requires collective vigilance and forward-looking perspectives. This chapter underscores the importance of proactive, reasoned preparation as increasingly disruptive technologies emerge.
Consumer Engagement
Authors: Salam Muhammad Abdus , Rayun S. M. Nafiz , Islam Waziha , Hasan Robiul , Firmansyah Egi Arvian , Kalinaki Kassim
Published: August 2024

Artificial intelligence's rapid advancements are transforming marketing and consumer communication, like shifting from traditional influencers to AI-powered virtual influencers. Despite concerns about cyber-harassment and fraud, optimism prevails as netizens adopt technology. However, this technological advancement has opened numerous opportunities for marketers and practitioners to utilize it optimistically and within legal boundaries. So, it is crucial to synthesize the insights on how deepfake technologies can revolutionize marketing, particularly in enhancing consumer engagement, brand communication, and interaction strategies. Therefore, this chapter provides a comprehensive overview of the potential use of deepfake technologies in consumer marketing, emphasizing the ethical considerations that must be addressed, including transparency, consumer perceptions, and legal frameworks. The Nobel insights in this chapter will facilitate consumers, marketers, practitioners, researchers, and stakeholders, guiding them towards future directions.
A Research on Factors Affecting Sustainable Competitive Advantage in the Tourism Sector
Authors: Örücü Edip , Hasirci Itir , Yildiz Ramazan Özkan
Published: August 2024

The aim of this research is to identify the effects of organisational agility and electronic human resource management (E-HRM) on sustainable competitive advantage. The population of the research consists of 471,000 employees working in hotels in Turkey. Data were collected through an online survey. Therefore, the sample of the research is 421 employees working in these hotels. Frequency, factor, reliability, normality, correlation, and regression analysis were performed. When the regression analysis was analysed, it was determined that organisational agility and E-HRM have significant effects on sustainable competitive advantage. When the result of the regression analysis is evaluated, it is seen that organisational agility affects sustainable competitive advantage more than E-HRM. Therefore, in this sample, recommendations are presented in order to bring the importance of organisational agility to all employees.
Unveiling the Metaverse
Authors: Asrifan Andi , Dewi Anita Candra
Published: August 2024

This article examines how data science and AI change the metaverse and its effects on society and corporations. It shows how AI-powered tech creates complex virtual worlds and clever agents, improving human engagement in these online places. The paper examines data science and AI ethics, including security, privacy, and algorithmic bias, to emphasize the need for ethical norms and open practices. The essay discusses AI's merits and cons in the metaverse, including job creation, creativity, data exploitation, and displacement. This research shows how data science and artificial intelligence will impact industry, societal norms, and global problem-solving in the metaverse. It also warns against unregulated technological advancement.
Virtual Teachers, Real Learners
Authors: Kaur Jaspreet
Published: August 2024

The study investigates the dynamics of human-machine interaction in learning environments in the Metaverse and effectiveness of such interactions in creating productive learning environments by looking at the experiences of both real learners and virtual teachers. The results demonstrate the metaverse's promise as a platform for cutting-edge teaching techniques, but they also stress the significance of resolving issues with user experience and technology constraints. This study adds to the knowledge of how the field of digital education is changing and provides guidance on how to best use human-machine interaction to improve learning outcomes.
Review on Computational Materials Design and Its Applications
Authors: Satheesh Ponnam , Gopinath K. , Sivakuma P. , Ramireddy G. , Shaik Masma , Sivasankarayadav G.K , Maramu N.
Published: August 2024

In a normal study, if the structure or composition of a material is given, it is possible to study the properties and functions of the material. This is a direct challenge. As solution techniques have developed considerably, they have become quite sophisticated, both experimentally and computationally. The study area known as computational materials design uses computer modeling to find a solution to this “inverse problem.” Using computer simulations, particularly those based on quantum theory, is a process known as computational materials design. The authors would like to introduce the current status and recent research on reactions at interfaces. The authors will explain the method of predicting the magnetism of a system called the dilute magnetic semiconductor, which has been attracting attention as the base material for semiconductor spintronics, based on a first-principles calculation. After a brief introduction to semiconductor spintronics, he will explain the method of handling the regularity peculiar to dilute magnetic semiconductors, using the band calculation method. New materials derived from carbon, such as carbon nanotubes, fullerenes, and grapheme, have been added to the traditional functional carbon materials such as diamond, graphite, and activated carbon. The tools used for materials informatics. With the aim of accelerating materials science research, data-driven materials research, that is, materials informatics research is becoming more active. One is the crystal structure prediction tool, CrySPY, and the other is the descriptor generation tool, LIDG, used for machine learning. as supercomputers, the knowledge and techniques required to master them are also changing, becoming more complex and sophisticated each year. The various techniques will be introduced in relation to the features of current computers in terms of single-CPU performance optimization and high-parallelism performance optimization.
Positive Psychology and Special Education
Authors: Ioannidou Louiza , Koutroumanidis Dimitrios
Published: August 2024

The effects of positive psychology on enhancing educational work, particularly the work of special education teachers, are significant and multifaceted. Positive psychology focuses on enhancing well-being, happiness, and positive emotions, and its application in the educational context is crucial. This study aimed to examine how hope and optimism affect job satisfaction and teachers' relationships with special education students. The research involved 100 teachers working in educational units across Greece. A four-part questionnaire was constructed using the scales of job satisfaction, teachers' hope and optimism, and relationships with students. The results revealed that hope had a statistically significant positive correlation with satisfaction and student-teacher relationships. Also, results highlighted that hope and optimism significantly predict student-teacher relationships. The study results underscore the importance of fostering hope and optimism in special education settings to enhance educators' professional fulfillment and relational dynamics with students.
Multimodal Emotion Cognition Method Based on Multi-Channel Graphic Interaction
Authors: Zhong Baisheng
Published: August 2024

The relationship between the emotional components associated with images and text is a crucial way of multimodal emotion analysis. However, most of the present multimodel affective cognitive models simply associate the features of images and texts without thoroughly investigating their interactions, resulting in poor recognition. Therefore, a multimodel emotion cognition method based on multi-channel graphic interaction is proposed. Text context features are extracted, scene and image information is encoded, and useful features are obtained. Based on these results, the modal alignment module be applied to obtain information about affective regions and words, and then the cross-modal gating module be applied to combine the multimodel features. In addition, we tested extensively on three open datasets, achieving an accuracy of 0.8122 for the MSA-single dataset, 0.7307 for the MSA-MULTIPLE dataset, and 0.7159 for TumEmo. The results show that this method is effective for multimodal emotion detection.
A Long Short-Term Memory Neural Network Algorithm for Data-Driven Spatial Load Forecasting
Authors: Wang Qing , Li Naigen
Published: August 2024

Based on the LSTM neural network, the author proposes a new data-driven spatial load prediction method to analyze the time series within the neural network, avoid data depression, and determine the correlation of the training data space. Establish prediction models based on different neurons, reduce the dimensionality of collected data through data preprocessing, and ensure data integrity. At the same time, provide data management base, control model input and output, unify process model, ensure training sequence model, combine LSTM neural network model, select prediction method, and finish data-driven related transportation. Experimental results show that the data driven global load forecasting model based on LSTM neural network proposed in this paper takes 1.23 seconds to complete 8000 training data, when traditional data drive spatial load forecasting method based on CNN neural network takes 3.56 seconds to finish 8000 training data. It can be seen that the prediction method proposed in this article has a good prediction accuracy.
GMRD
Authors: Li Qian , Yu Laihang , Pan Li
Published: August 2024

The rapid development of social media has allowed people to access information through multiple channels, but social media has also become a breeding ground for rumors. Rumor detection models can effectively assess the credibility of information. However, current research mainly relies on text or combined text and image features, which may not be sufficient to capture complex feature information. Therefore, this paper proposes a rumor detection model based on the graph convolutional network (GCN) and multi-modal features. The proposed model constructs a knowledge graph (KG) and leverages the GCN to extract complex relationships between its nodes. Then, an interactive attention network is adopted to deeply integrate features. Furthermore, ResNet101 is utilized to extract salient features from images, addressing the challenges related to fully utilizing additional feature information and capturing text and image features at a deeper level to some extent. Multiple experiments conducted on datasets from Twitter and Weibo platforms demonstrate the efficacy of the proposed approach.