bluuebunny/crossref_metadata_2025_split huggingface dataset:
Beyond Boundaries: Transnational Identity in Contemporary Indian Literature
Authors: Udhayakumar S. 
Published: February 2025

The predominant notion of Contemporary Indian literature is to explore the profound analysis of identity in the perceptions of displacement narratives, cultural negotiation, and personal transformation. In Salman Rushdie’s Midnight Children and Jhumpa Lahiri’s The Namesake are considered pioneering novels that elucidate the complexity of transnational experiences, whose individual identities are continuously transferred across geographical and emotional boundaries. The predominant notion of Contemporary Indian literature is to explore the profound analysis of identity in the perceptions of displacement narratives, cultural negotiation, and personal transformation. In Salman Rushdie’s Midnight Children and Jhumpa Lahiri’s The Namesake are considered pioneering novels that elucidate the complexity of transnational experiences, whose individual identities are continuously transferred across geographical and emotional boundaries. Characters reflect the essential postcolonial figure – constantly caught between different cultural environments, questioning traditional ideas of indigenous. The struggle and exploration of the characters Saleem Sinai and Gogel Ganguli are greater than the protagonists; their diasporic consciousness and their lives represent the intertwined between their self-efficiency and collective consciousness, metaphorically personified with the thematic frameworks. The vital inquisition of identity as a variable and vibrant concepts are evident in Rushdie’s magical realism and Lahiri’s nuanced psychological observation. These novels appropriately exhibited the transnational experiences which are not merely connected with geographical alteration but also connected with psychological quest of self-realization. The complicated practice of cultural hybridization is depicted in the struggle of the characters where these personal narratives interconnect with inclusive notions of historical and migratory experiences.Thus, personal narratives effectively project the way of how contemporary Indian literature goes beyond the representation of ordinary things, becoming a crucial part where different cultures interact and come to terms with each other. By exposing on these central characters, the novels demonstrate how the limits of national boundaries are not solid and unchanging.Rushdie and Lahiri frames a concreating narratives that encounter monolithic understandings of cultural identity by intersecting personal experience with the wide spread socio-political backdrops. Their novels highlight the cross national borders can intensely change people. And they expressed that being displaced opens a new path of thinking about self and communal.
Artificial Intelligence on Learning Experience: An Outlook
Authors: Mirunalini M. , Komail V. 
Published: February 2025

New technology and tools multiply daily in that digital age. The rise of Artificial Intelligence has sparked with new wave of advancements with its features becoming more and more integrated into our everyday lives. Artificial Intelligence in education enhances individualized learning, permits to progress at their own pace, facilitates collaboration easy access to wide range of resources, empowers students to explore deep understanding beyond the traditional classroom. Challenges faced by the students such as it leads to passive learning, requires digital skills to use the features. The broad objective of the study is to examine the benefits and challenges of Artificial Intelligence in learning experiences. Higher Education Students from under graduate, Post graduate and Ph.D scholars from Government, Government aided, Self-Finance colleges were chosen for the study by Stratified random sampling technique. A set of survey questionnaire with 40 items comprised of benefits and challenges faced through in learning experiences with a 5 point Likert scale with each statement rated strongly agree (5), agree (4), neutral (3), disagree (2), strongly disagree (1). The study revealed that students agreed that the benefits are great to the extent and challenges are at modest. Practical contributions to organize adequate training programmes regarding potential benefits and ethical considerations of using Artificial Intelligence. Continuous learning support is desirable and changes in guidelines, curriculum design and assessment ensures exploiting the benefits of Artificial Intelligence in learning experiences.
Perbandingan Status Karies Gigi pada Pralansia dan Lansia Peserta Prolanis Puskesmas Welahan 1 Jepara
Authors: Hafidz Muhammad L. , Isniya Nosartika  , Ngestiningsih Dwi 
Published: February 2025

Abstract: Elderly undergoes changes that begin at pre elderly age. This condition causes health problems, including in the oral cavity such as dental caries. Dental caries in pre-elderly and elderly is associated with the changes of the oral cavity condition due to aging and chronic diseases such as diabetes mellitus (DM) and hypertension. This study aimed to analyze the difference in dental caries status of pre-elderly and elderly patients with DM, hypertension, and DM plus hypertension. The results obtained 67 pre-elderly and elderly members of Prolanis (chronic disease management program) Puskesmas Welahan 1 as subjects, divided into three groups, as follows: DM group (27 patients), DM plus hypertension group (21 patients), and hypertension group (19 patients). Data were analyzed using the one-way ANOVA parametric test. The average score of DMFT in all subjects was 13.40. The highest score (13.76) was found in DM plus hypertension group, followed by DM group (13.26), and hypertension group (13.21). The one-way ANOVA obtained a p-value of 0.973 meaning that there was no significant difference in mean score of DMFT among the three groups. In conclusion, dental caries status of the three groups is in very high category without any significant difference.
Keywords: caries status; pre elderly; elderly; diabetes mellitus; hypertension.

Abstrak: Lanjut usia (lansia) mengalami perubahan kondisi tubuh yang telah dimulai sejak masa pralansia. Kondisi tersebut menyebabkan masalah kesehatan, termasuk pada rongga mulut seperti karies gigi. Karies gigi pada pralansia-lansia berhubungan dengan perubahan kondisi rongga mulut akibat penuaan maupun penyakit seperti diabetes melitus (DM), dan hipertensi. Penelitian ini bertujuan untuk menganalisis perbandingan status karies gigi pasien pralansia-lansia penyandang DM, hipertensi, dan DM disertai hipertensi. Subjek penelitian ialah pasien pralansia-lansia peserta Prolanis Puskesmas Welahan 1 Kabupaten Jepara. Uji statistik menggunakan uji parametrik analisis variansi satu arah. Hasil penelitian mendapatkan 67 pasien pralansia dan lansia peserta Prolanis Puskesmas Welahan 1 yang terbagi atas tiga kelompok yaitu kelompok DM (27 pasien), kelompok DM disertai hipertensi (21 pasien), dan kelompok hipertensi (21 pasien). Status karies berdasarkan rerata skor DMFT pada seluruh subjek penelitian ialah 13,40. Kelompok dengan rerata skor tertinggi ialah pralansia-lansia dengan DM disertai hipertensi (13,76), diikuti kelompok DM (13,26), dan kelompok hipertensi (13,21). Hasil uji ANOVA satu arah mendapatkan nilai p=0,973 yang menunjukkan tidak terdapat perbedaan bermakna dari rerata skor DMFT ketiga kelompok. Simpulan penelitian ini ialah status karies pada ketiga kelompok sama-sama dalam kategori sangat tinggi dan tidak terdapat perbedaan bermakna dari status karies antar kelompok.
Kata kunci: status karies; pralansia; lansia; diabetes melitus; hipertensi
PENGENALAN BAHAN AJAR BERBASI INKUIRI TERBIMBING BERBANTUAN VIRTUAL LABORATORY SEBAGAI SALAH SATU BAHAN AJAR FISIKA DI SMA
Authors: Hardianti Tuti , Syahwin Syahwin , Fitriana Sheila , Rizaldi Rachmat 
Published: February 2025

Pengabdian masyarakat dalam bentuk kegiatan pengenalan bahan ajar berbasis inkuiri berbantuan virtual laboratory ini diharapkan dapat menambah wawasan dan pengalaman para guru di SMA/sederajat di Kota Medan dalam mengatasi beberapa persoalan seperti permasalahan kurangnya alat praktikum dan dapat meminimalisir pemanfaatan waktu praktikum menjadi lebih efisien. Kegiatan pengabdian kepada masyarakat ini menggunakan metode pendampingan. Langkah-langkah yang dilakukan dalam kegiatan pengabdian meliputi, (1) Tahap persiapan, (2) Tahap pelaksanaan dan, (3) Tahap evaluasi. Analisis kepuasan yang dilakukan pada saat pengabdian mendapatkan respon positif dari peserta dengan rata-rata yang menjawab sangat puas sebesar 85,62 % dan rata-rata yang menjawab puas sebesar 14,38 %. Hal ini menunjukkan bahwa kegiatan ini telah dilaksanakan dan berjalan dengan baik dan dapat memberikan manfaat bagi peserta pengabdian.
Impact of Management Control Systems on Managerial Job Satisfaction and Stress in Local Government: The Mediating Role of Organizational Commitment
Authors: Silaban Adanan , Siagian Nalom , Sitorus Sunday Ade , Medrofa Daud 
Published: February 2025

Management Control Systems (MCS) are an important part of the operations of public sector organizations. However, the implementation of MSS can have consequences on the well-being of public managers such as job satisfaction and stress. One important dimension of MSS is the clarity of the public manager's role. The role of public managers is a very important part of the organization, because public managers have the task of planning, organizing, directing and controlling organizational activities. These tasks require role clarity, where public managers must provide accurate, complete, clear and relevant information to their users. Therefore, the clarity of the role of public managers is thought to have an effect on the job satisfaction and stress of public managers. This research is important to do considering that SPM is a tool used in achieving organizational goals, and therefore it is also necessary to gain knowledge of its consequences on the welfare of public managers. Empirical evidence on this subject is still very limited, especially in public sector organizations in Indonesia. This study aims to empirically examine the effect of role clarity on job satisfaction and stress of public managers and the mediation of organizational commitment in public sector organizations. The results of this study are useful theoretically and practically. Theoretically, it enriches the SPM literature on the effect of management control in the form of the impact of role clarity on job satisfaction and stress levels of public public managers. Practically, the results of this study can be used as guidelines in the design of SPM that can increase public managers' job satisfaction and stress and organizational commitment. The research was conducted using a survey method to public managers at the Regional Apparatus Organization (ODP) of Medan City Government.
Machine learning-based models for advanced fibrosis in non-alcoholic steatohepatitis patients: A cohort study
Authors: Xiong Fei-Xiang , Sun Lei , Zhang Xue-Jie , Chen Jia-Liang , Zhou Yang , Ji Xiao-Min , Meng Pei-Pei , Wu Tong , Wang Xian-Bo , Hou Yi-Xin 
Published: February 2025

BACKGROUND
The global prevalence of non-alcoholic steatohepatitis (NASH) and its associated risk of adverse outcomes, particularly in patients with advanced liver fibrosis, underscores the importance of early and accurate diagnosis.
AIM
To develop a machine learning-based diagnostic model for advanced liver fibrosis in NASH patients.
METHODS
A total of 749 patients who underwent liver biopsy at Beijing Ditan Hospital, Capital Medical University, between January 2010 and January 2020 were included. Patients were randomly divided into training (n = 522) and validation (n = 224) cohorts. Five machine learning models were applied to predict advanced liver fibrosis, with feature selection based on Shapley Additive Explanations (SHAP). The diagnostic performance of these models was compared to traditional scores such as the aspartate aminotransferase to platelet ratio index (APRI) and fibrosis index based on the 4 factors (FIB-4), using metrics including the area under the receiver operating characteristic curve (AUROC), decision curve analysis (DCA), and calibration curves.
RESULTS
The Extreme Gradient Boosting (XGBoost) model outperformed all other machine learning models, achieving an AUROC of 0.934 (95%CI: 0.914-0.955) in the training cohort and 0.917 (95%CI: 0.880-0.953) in the validation cohort (P < 0.001). Incorporating liver stiffness measurement into the model further improved its performance, with an AUROC of 0.977 (95%CI: 0.966-0.980) in the training cohort and 0.970 (95%CI: 0.950-0.990) in the validation cohort, significantly surpassing APRI and FIB-4 scores (P < 0.001). The XGBoost model also demonstrated superior clinical utility, as evidenced by DCA and calibration curve analysis in both cohorts.
CONCLUSION
The XGBoost model provides a highly accurate, non-invasive diagnosis of advanced liver fibrosis in NASH patients, outperforming traditional methods. An online tool based on this model has been developed to assist clinicians in evaluating the risk of advanced liver fibrosis.
Exploring Need Satisfaction in IT Professionals: The Role of Employee Engagement in Flexible Work Arrangements using Fuzzy Delphi Method
Authors: Chan Ler-Kuan , Tan Shen Kian , Huah Lee 
Published: February 2025

IT companies like Microsoft and Google have been investing in data centres in Malaysia from the start of 2024. However, IT professionals prefer working abroad due of the favourable currency rate. IT professionals have persistently embraced flexible work arrangements since the pandemic, enabling businesses to access a wider talent pool and enhance employee retention more efficiently. The objective of this study is to investigate the employee engagement model among IT professionals who practise flexible work arrangements and examine its influence on the satisfaction of their needs. The study implements the Fuzzy Delphi method, employing a mixed method research approach. During the initial phase, a series of qualitative semi-structured interviews were carried out with 6 IT professionals who had over 5 years of job experience. The qualitative data was analysed using deductive thematic analysis to discover important themes associated with employee engagement and need satisfaction. During the second phase, a questionnaire was handed out to 10 IT professionals who have over 10 years of working experiences. The purpose was to validate the findings and reach a consensus on the discovered factors. The findings provide strong proof of expert consensus, with a 75% agreement rate on all factors relevant to employee engagement and need satisfaction. These findings suggest that the elements listed are crucial for improving the fulfilment of needs among IT professionals in the context of flexible work arrangements. The study offers useful information to organisations, allowing them to build more strategic strategies for involving IT professionals in flexible work arrangements. Overall, this research contributes to the existing literature on employee engagement and need satisfaction in the context of flexible work arrangement, particularly within the Malaysian ICT industry.
Bibliometric Analysis on Chief Executive Officer (CEO) Characteristics
Authors: Shahrizin Sarah Amira Nadirah , Kurniawan Asep , Shah Shahar Wan Shahdila , Mohamad Saleh Mohamad Sofuan 
Published: February 2025

This paper provides a comprehensive analysis of research focused on the characteristics of Chief Executive Officers (CEOs). The purpose of conducting a bibliometric analysis of CEO characteristics is to systematically evaluate. Using bibliometric techniques, this analysis aims to identify trends, patterns and influential publications in the field, as well as reveal the most cited works, leading authors, and significant research gaps. Such an approach helps provide a quantitative overview of how research on CEO characteristics has evolved and highlights the interconnections between different studies and themes. To achieve this objective, this study analyzed 280 publications published between 1992 and 2024, obtained from the Scopus database, using bibliometrics, content analysis, and network approach methods. Data was analyzed using VOSviewer, MS Excel and Harzing's Publish or Perish software. The findings reveal a significant increase in research activity in this domain over the past 34 years, peaking in 2023. This surge is mainly due to enhanced channels for scholarly dissemination and con+certed efforts in the academic community, particularly in the United States, China and Malaysia. Ultimately, this bibliometric analysis serves as a tool to deepen understanding of the research landscape on CEO traits, guide future investigations, and foster the development of new theoretical and practical insights.
Quantifying the Effect of Short-timescale Stellar Activity Upon Transit Detection in M Dwarfs
Authors: Yaptangco Dana Clarice , Ballard Sarah , Dittmann Jason , Albornoz Mariangel 
Published: February 2025

Abstract
M dwarf stars comprise 70%–80% of the galaxy's stars and host most of its rocky planets. They also differ from Sunlike stars in that they are “active” for billions of years or more: rotating quickly, flaring often, and emitting large amounts of UV and X-ray light. The effects of stellar activity upon both photometry and spectroscopy make their exoplanets more difficult to detect. While activity signals such as flaring and stellar rotation can be more readily modeled or removed from photometry, the contribution of unresolved stellar activity to transit sensitivity is harder to quantify. We investigate the difference in the detectability of planetary transits around a sample of M dwarfs observed by NASA's Transiting Exoplanet Survey Satellite (TESS) Mission, characterized by a common stellar radius, effective temperature, and TESS magnitude. Our sample is classified as either “active” or “inactive” based upon the presence of Hα in emission. After removing more readily identifiable signatures of activity: stellar rotation and large flares, we perform an injection-and-recovery analysis of transits for each star. We extract detection sensitivity as a function of planetary radius and orbital period for each star. Then, we produce averaged sensitivity maps for the “active” stars and the “inactive” stars, for the sake of comparison. We quantify the extent to which signal-to-noise ratio is degraded for transit detection, when comparing an active star to an inactive star of the same temperature and apparent brightness. We aim for these sensitivity maps to be useful to the exoplanet community in future M dwarf occurrence-rate studies.
The Morphology of Dwarf Galaxies Hosting Variable Active Galactic Nuclei
Authors: Kimbro Erin , Baldassare Vivienne , Worthey Guy , Geha Marla , Greene Jenny 
Published: February 2025

Abstract
We analyze Hubble Space Telescope optical imaging of eight low-mass galaxies hosting active galactic nuclei (AGN) identified via their photometric variability in V. F. Baldassare et al. We use GALFIT to model the 2D galaxy light profiles, and find a diversity of morphologies. The galaxies with regular morphologies are best fit with pseudobulges and disks, rather than classical bulges. We estimate black hole masses using scaling relations and find black hole masses of 103.7−6.6
M
⊙. We compare this sample to dwarf galaxies with AGN selected via optical spectroscopy. On average, the variable host galaxies have lower-mass black holes. We analyze the brightest point source in each galaxy and find their properties are not entirely consistent with star clusters, indicating that they are likely AGN. These point sources are found to have lower luminosities than spectroscopically selected dwarf AGN, but brighter than the point sources in dwarf galaxies not identified as AGN. Our detailed imaging analysis shows that variability selection has the potential to find lower-mass black holes and lower-luminosity AGN than optical spectroscopy. These active dwarfs may have been missed by spectroscopic searches due to star formation dilution or low gas content.
Solar Cycles: Can they be Predicted?
Authors: Foxon Floe 
Published: February 2025

Abstract
The solar magnetic field, thought to be generated by the motion of plasma within the Sun, alternates on the order of 11 yr cycles and is incompletely understood. Industries rely on accurate forecasts of solar activity, but can solar cycles be predicted? Of more than 100 predictions for cycle 25, most underestimated the amplitude (peak sunspot number). Fewer predictions were made for the timing of solar maximum, but timing predictions seem to be performing better than amplitude predictions. Reasons for inaccurate prediction are suggested, and perspectives are given on how future studies might improve upon the extant literature.
Methods for CMB Map Analysis
Authors: Sullivan Raelyn M. , Hergt Lukas Tobias , Scott Douglas 
Published: February 2025

Abstract
There are standard tools for analyzing cosmic microwave background maps. However, several important details are not usually highlighted. Here we describe best practices for several common map-modifying procedures, including masking, downgrading resolution, convolving with beam and pixel window functions, and adding white noise. We will explore how these modifications affect the final power spectrum measured from a map. We recommend the best ways to perform each of these procedures, describe when the different steps and measures should be carried out, and show the effects of incorrectly performing or applying any of them.
THUNDER: A Titan Orbiter Mission Concept for the New Frontiers Program Designed at the JPL Planetary Science Summer School
Authors: Seltzer Cassandra , Lien Rudi , Radzom Brandon T. , Mullikin Ella , Bott Kimberly , Brouwer Gwendolyn , Burtt David G. , Gentgen Chloe , Abbate Jewel , Gandarillas Victor , Green Austin P. , Head Tristen , Hill Jonathon R. , Larson Jennifer N. , Montiel Nicholas J. , Moreno M. Regina A. , Wagner Nicholas L. , Wijesekara Piyumi , Keane James Tuttle , Nash Alfred E. , Scully Jennifer 
Published: February 2025

Abstract
Saturn's moon Titan is an enigmatic icy world whose surface is constantly modified by its active, Earthlike precipitation system. Here, we propose the Titan's Hydrocarbons: Uncovering New Dimensions of Evolutionary pRocesses (THUNDER) mission concept to investigate how Titan's surface reflects the nature of its interior and its active hydrocarbon cycle. This mission will change our understanding of Titan's surface through three science objectives: characterizing the heat and material transport properties of Titan's icy outer layer, tracing surface liquid storage through and across the crust, and assessing the total hydrocarbon budget through time. This New Frontiers-class mission, designed as part of the Jet Propulsion Laboratory Planetary Science Summer School, responds directly to the call for a Titan orbiter in the NASA Planetary Science and Astrobiology Decadal Survey 2023–2032. THUNDER's focused geology and geophysics mission could achieve full surface mapping to complement both the Cassini–Huygens and Dragonfly missions using gravity science, radar with three operational modes, and a visible-to-infrared spectrometer. These instruments together could give us the first look at Titan as a fully connected and geologically active world, revolutionizing our understanding of icy bodies, fluvial and atmospheric processes, and habitability across geologic time. Here, we summarize the goals of the science mission and engineering approaches, as well as challenges and future directions to study before THUNDER can become a viable mission concept.