bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anthropometry, Neuroergonomics and Immersive Technologies for the Workplace’s Future: Safer, Self-Sustainable and Digital
Authors: Moura Roque Antônio de , Villarta Cleiton José Benedito , Benevides Marcello Pereira , Richetto Marco Rogério Silva Richetto , Rosa Junior Orlando , Santos David Felipe Alves 
Published: December 2024

Objective: The objective of this research is to identify the best ways to organize tasks, design interfaces and optimize work processes while respecting the cognitive limits, body size and know-how of the workforce.

Theoretical Framework: It is possible to prevent occupational and work-related diseases. The future of work is being shaped by a convergence of disciplines that seek to optimize the interaction between humans and machines.

Method: The method used included publications related to the topic on immersive training, movement programming and respect for anthropometric differences between genders.

Results and Discussion: The results indicate a reduction in mental fatigue, a reduction in the cognitive load in tasks with the creation of work routines and greater attention and productivity.

Research Implications: This review research shows how neuroergonomics, anthropometry and immersive technologies, considered pillars of transformation, have the potential to create safer, more efficient work environments adapted to the individual needs of workers.

Originality/Value: The study of the physical dimensions and physical-mental characteristics of the human body in the design of equipment and workspaces makes it possible to create more comfortable and safe environments, reducing the risk of repetitive strain injuries and occupational diseases.
Impact of catheter location during mesenteric angiography in identifying sources of acute lower gastrointestinal bleeding
Authors: Lain William Joseph , Zhao Patricia , Sheeran Daniel P. , Patrie James T. , Wilkins Luke R. 
Published: December 2024

Objectives:
The objective of this study was to compare the sensitivity of selective to superselective mesenteric angiography in identifying acute lower gastrointestinal bleeding (LGIB) after computed tomography angiography (CTA) demonstrating active arterial bleeding.

Material and Methods:
This is a single-center retrospective study of all patients who underwent mesenteric angiography to evaluate LGIB between January 2012 and September 2021. The inclusion criterion was a CTA demonstrating active arterial LGIB immediately before intervention. Patient demographics, etiology of bleeding, and procedural details were recorded. Selective angiography was defined as an ostial visceral branch injection; superselective was defined as any selection into or beyond a 2nd order branch. Technical success was defined as the successful embolization of the target vessel. Clinical success was defined as the clinical resolution of gastrointestinal bleeding without additional procedural or surgical interventions within 30 days.

Results:
After inclusion criteria, 78 angiograms from 72 patients were evaluated. Active arterial bleeding was identified in 50% (39/78) of angiograms, and embolization was performed in 49% (38/78) of cases. The diagnostic sensitivity of superselective angiography was significantly greater than selective angiography (56.3% vs. 32.1%, P = 0.018). In 12.8% (10/78) of all angiograms, active bleeding was identified only with superselective angiography (25.6%, 10/39, of cases where any bleeding was identified). Embolization was performed in 38 of the angiograms; technical success was 97.4% (37/38), clinical success was 71.1% (27/38), and 26% (10/38) required further intervention. Embolization was not performed in 40 angiograms, with 68% (27/40) requiring an additional intervention.

Conclusion:
Superselective angiography is significantly more sensitive than selective angiography for patients with known acute LGIB identified on CTA.
Unraveling the Myths of Rural vs. Urban Academic Achievement Drivers
Authors: Beatriz-Afonso Ana , Cruz-Jesus Frederico 
Published: December 2024

The generalized migration of individuals from rural to urban areas is a global phenomenon that entails many divides, education being one of them. However, there is a lack of understanding regarding whether the factors driving higher academic achievement (AA) differ between urban and rural students. This study uses data from almost every student in Portugal who took the Portuguese and/or mathematics high school national exams. By applying OLS, the aim is to identify the AA drivers and compare these drivers between urban and rural areas. Among the key findings, variables related to academic background emerged as the strongest predictors of AA, regardless of the environment. Additionally, ICT access is insignificant in urban and rural areas, while socio-economic status does not significantly impact AA amongst rural students. These findings highlight the need for tailored interventions that address the unique challenges faced by students in different areas, with a particular focus on enhancing academic support structures to improve educational outcomes. To the best of our knowledge, this study is the first to utilize data encompassing virtually every student in an entire country to compare and understand the differences in the determinants of AA between urban and rural areas. Doi: 10.28991/ESJ-2024-08-06-010 Full Text: PDF
The Impact of Artificial Intelligence on Digital Marketing: Leveraging Potential in a Competitive Business Landscape
Authors: Hendrayati Heny , Achyarsyah Mochamad , Marimon Frederic , Hartono Ulil , Putit Lennora 
Published: December 2024

This study aims to thoroughly investigate how Artificial Intelligence (AI) is strategically integrated into digital marketing practices and its consequential effects on Indonesia’s fiercely competitive business environment. Employing a quantitative research approach, this study meticulously examines Indonesian enterprises’ prevailing strategies for AI utilization. The research method employed in this study is quantitative, with the unit of analysis being Indonesian companies. The sample size comprises 100 companies selected through the stratified random sampling technique. Analysis of the data is conducted using the SPSS statistical package. Through detailed analysis of survey data and advanced statistical techniques, the research reveals a significant positive correlation between the integration of AI in digital marketing and improved marketing effectiveness. The study highlights a noticeable increase in customer engagement metrics and noteworthy enhancements in conversion rates among businesses proficient in leveraging AI technologies, further reinforcing this correlation. Additionally, the findings suggest that companies embracing AI demonstrate significantly heightened adaptability to the constantly evolving market dynamics, strengthening their competitive positioning. These insightful discoveries underscore the critical importance of harnessing AI’s transformative capabilities within digital marketing strategies to sustain and bolster a competitive edge in the marketplace. Furthermore, the study discusses its contributions to existing knowledge and provides practical implications for marketers and business policymakers in Indonesia. Doi: 10.28991/ESJ-2024-08-06-012 Full Text: PDF
Development of a Cloud Service for Comprehensive Research of Polymer Synthesis Processes
Authors: Miftakhov Eldar , Mustafina Sofya , Kashnikova Anastasiya , Akimov Andrey 
Published: December 2024

The issue of digitalization in chemical technology production is currently quite pressing, and the available computational infrastructure is insufficient for assessing the technological properties of the products obtained through mathematical modeling tools. This problem is particularly relevant for polymer synthesis processes, where standard empirical evaluations require enormous computational resources, and existing methods and algorithms prove ineffective when organizing multiple computational trials to select optimal production scenarios. The aim of this study is to develop a cloud-based digital service that enables comprehensive research into complex physicochemical processes occurring via polymerization mechanisms. The implementation of all algorithms is based on the use of kinetic and statistical approaches to modeling, and the embedded calculation methods are adapted to the specifics of polymerization processes. The conceptual framework of the developed cloud service is represented by a three-tier network architecture, and the established mechanism of network interaction allows the service to operate in a 24-hour multi-user mode. Task execution in the remote environment and the distribution of computational resources are handled using Docker containerization technology, which provides software-level virtualization within the operating system. The storage subsystem is managed by the MongoDB database management system, which supports distributed information storage functions. The organization of test computational experiments in evaluating the detailed properties of polymer products allowed for the assessment of the system’s core logic in web interface mode and the adequacy of the obtained calculation results. Doi: 10.28991/ESJ-2024-08-06-023 Full Text: PDF
A New Concept of Transforming Service: Impact of Generative Voice Chatbots on Customer Satisfaction and Banking Industry Productivity
Authors: Kondybayeva Saltanat , Daribayeva Meruyert , Fiume Raffaele , Abilda Symbat , Staroverova Olga , Ponkratov Vadim , Vatutina Larisa , Shapoval Galina , Mikhina Elena , Nikolaeva Irina 
Published: December 2024

This study examines the impact of implementing generative AI voice chatbots on customer expectations and satisfaction in the banking sectors of Kazakhstan, Russia, and Italy. To achieve this objective, this study conducted a survey of 253 customers from 35 commercial banks in Kazakhstan, Russia, and Italy from November 2023 to early April 2024. This study employed partial least squares structural equation modelling (PLS-SEM) to assess and validate the validity and reliability of the research model. The study integrates the Expectation Confirmation Model with AI components to analyze factors influencing customer satisfaction with AI-enabled digital banking services. Key findings indicate that expectation confirmation, perceived performance, visual attractiveness, problem-solving capabilities, and communication quality significantly affect customer satisfaction with AI chatbots. However, trendiness and customization features showed minimal impact. The research also explores how customer satisfaction and corporate reputation influence chatbot adoption. Additionally, the study investigates the relationship between chatbot adoption and productivity performance in banking operations. The study provides several policy recommendations, including enhancing perceived performance, expectation confirmation, communication quality, visual attractiveness, and corporate reputation, which can improve customer satisfaction and increase confidence in generative AI voice chatbots in the digital banking industry. Doi: 10.28991/ESJ-2024-08-06-09 Full Text: PDF
EKSPLORASI POTENSI WISATA EDUKASI KEBUN KOPI: PEMBANGUNAN BERKELANJUTAN DI DESA REMPEK DARUSSALAM
Authors: Azizah Rina Ristianty , Jayadi Ahmad , Fitriani Fitriani , Dirda Jaduga Ekanur , Lestari Imanda , Masyhuri Zilly Arsyika , Susilayanti Tuti , Ningrat Muhammad Dwi , Hartanto Alief Putra 
Published: December 2024

Desa Rempek Darussalam adalah desa yang terletak di Kecamatan Gangga, Kabupaten Lombok Utara, merupakan salah satu desa dengan potensi pertanian yang kaya, terutama dalam budidaya kopi. Kopi, sebagai komoditas unggulan, tidak hanya memiliki nilai ekonomi tinggi tetapi juga potensi besar untuk dikembangkan menjadi daya tarik wisata yang edukatif. Potensi ini belum sepenuhnya dimanfaatkan untuk mendukung pembangunan berkelanjutan di desa Rempek Darussalam. Menghadapi tantangan tersebut, KKN PMD UNRAM 2024 bertujuan untuk megembangkan wisata edukasi kebun kopi sebagai Solusi untuk meningkatkan pendapatan masyarakat serta mempromosikan produk kopi lokal. Program ini dilaksanakan melalui serangkaian kegiatan termasuk kegiatan pelatihan pembuatan paket wisata edukasi, dan pemasaran produk kopi. Kelompok KKN Universitas Mataram bekerja sama dengan petani kopi lokal untuk membangun fasilitas wisata, termasuk jalur tur dan area untuk demonstrasi proses pengolahan kopi. Selain itu pelatihan dilakukan untuk meningkatkan keterampilan masyarakat yang terlibat dalam berkomunikasi dengan pengunjung dan mengelola kegiatan wisata. Pengambilan data dilakukan melalui observasi, survey dan kegiatan KKN dimana wisata edukasi kebun kopi menjadi program kerja utama. Wisata edukasi kebun kopi ini berhasil menarik perhatian wisatawan, menghasilkan peningkatan pendapatan bagi petani kopi. Evaluasi menunjukkan bahwa masyarakat menunjukkan bahwa masyarakat mengalami peningkatan keterampilan dalam mengelola wisata dan pemasaran produk kopi. Selain itu kesadaran akan nilai tambah kopi local meningkat, memberikan dampak posiif terhadap ekonomi desa.
PRODUKSI COOKIES BLONDO SEBAGAI MAKANAN KONSUMSI TAMBAHAN DALAM UPAYA PENCEGAHAN STUNTING DI DESA TENIGA
Authors: Yadnya Made Sutha , Amilia Serlyana , Irawan Aditia , Putra Doddy Setya Darsanti , Jannah Miftahul , Shahab Seha , Noviana Ena , Sukmawati Sukmawati , Fiandra Naufal Nanda , Nujulia Nilti Haeratun , Solihati Solihati 
Published: December 2024

Desa Teniga merupakan salah satu desa dengan potensi perkebunan kelapa di Kabupaten Lombok Utara. Pada saat ini, desa Teniga sendiri dihadapkan dengan permasalahan stunting. Menanggapi tantangan stunting yang menjadi masalah kesehatan signifikan di Desa Teniga, tim KKN-PMD dari Universitas Mataram melakukan proyek inovasi pemanfaatan "blondo" untuk membuat kue anti-stunting. Blondo merupakan sisa atau ampas dari minyak kelapa (masyarakat Lombok biasa menyebutnya dengan tai lale) yang kaya akan nutrisi penting seperti protein, vitamin, dan mineral, menjadikannya salah satu bahan yang cocok untuk mencegah stunting. Inovasi ini bertujuan untuk meningkatkan kesadaran masyarakat tentang manfaat gizi blondo serta mendorong penggunaannya sebagai camilan harian guna meningkatkan gizi anak-anak. Program kerja ini mencakup edukasi gizi kepada masyarakat lokal, serta distribusi kue dan selebaran edukatif. Hal ini menunjukkan bagaimana sumber daya lokal dapat dimanfaatkan secara efektif untuk mengatasi tantangan kesehatan masyarakat, serta mendorong solusi berkelanjutan di dalam komunitas yang ada di desa.
UPAYA PENGENDALIAN SAMPAH SEBAGAI BENTUK IMPLEMENTASI GERAKAN ZERO WASTE DI DESA TANJUNG LUAR
Authors: Riskiani Mira , Muta’Aly Abdullah Ali , Hafida Hafida , Paris Muhamad , Fajrin M.Arya Bima , Syahputra Ragil rahmat , Sabrina Lona , Loka Selinda Ayu Pidya , Hermansyah Sabrina Aisya , Fitriani Winda 
Published: December 2024

Program Kuliah Kerja Nyata (KKN) merupakan suatu kegiatan pembelajaran yang dirancang agar mahasiswa dapat menerapkan ilmu pengetahuan dan teknologi yang dimilikinya di tengah masyarakat demi kesejahteraan masyarakat itu sendiri. Program KKN PMD 2024 yang dilaksanakan di Desa Tanjung Luar mengangkat tema Zero Waste dan ekonomi biru sebagai landasan dasar program utama KKN, kegiatan pengendalian sampah dan ekonomi kreatif dijalankan sebagai program untuk mengembangkan potensi desa. Tujuan diadakannya kegiatan KKN PMD 2024 sebagai bentuk penyelesaian atas permasalahan yang ada di Desa Tanjung Luar terutama yang berkaitan dengan limbah sampah. Metode program yang dilakukan dalam KKN terdiri dari (1) Sosialisasi kepada masyarakat desa, (2) pengadaan tempat pembuangan sampah TPS di lingkungan desa, (3) kegiatan gotong rotong bersama masyarakat membersihkan sampah, (4) melakukan budidaya maggot sebagai edukasi dan alternatif pengolahan sampah organik, (5) pengajaran kepada siswa siswi tentang pola hidup sehat dan bersih. Hasil kegiatan tersebut dapat memberikan manfaat bagi masyarakat dan membantu mengatasi permasalahan yang ada, melalui program utama ekonomi biru dan zero waste bisa membantu membuka potensi-potensi baru terutama dalam perekonomian desa, program-program dari mahasiswa KKN berhasil dicapai dengan memberikan kesadaran dan wawasan kepada masyarakat tentang pengendalian sampah, membuat TPS di berbagai titik lingkungan desa, membudidayakan maggot sebagai alternatif pengolahan limbah sampah organik, membersihkan pesisir pantai melalui gotong royong, dan pembekalan kepada generasi muda tentang bagaimana menerapkan pola hidup bersih dan sehat. Program kerja yang telah dijalankan selama 45 hari oleh mahasiswa diharapkan dapat menjawab permasalahan Desa Tanjung Luar dan turut bisa memajukan potensi-potensi desa dari perekonomian maupun wisata.
ANALISIS PENGARUH VARIASI JENIS ELEKTRODA DAN WAKTU KONTAK DENGAN MENGGUNAKAN METODE ELEKTROKOAGULASI PADA PENJERNIHAN AIR GAMBUT
Authors: Waryati Waryati , . Ibrahim , Dharmawan Adilla Dwicahya , Adnan Fahrizal , Huda Hairul 
Published: December 2024

Air gambut adalah sumber air alternatif untuk menyediakan air bersih di Pulau Kalimantan. Air gambut harus dijernihkan karena berwarna (merah kecoklatan), memiliki pH rendah (3-5), dan banyak mengandung zat organik. Penelitian ini mengamati efek berbagai jenis elektroda dan waktu kontak pada prosedur elektrokoagulasi untuk mengetahui seberapa efektif elektrokoagulasi dalam penjernihan air gambut. Ini karena elektrokoagulasi dapat digunakan untuk mengurangi kadar logam, keasaman, dan kandungan organik dalam air gambut. . Penelitian ini menggunakan berbagai jenis plat elektroda aluminium (Al)-aluminium (Al) dan aluminium (Al)-karbon (C), serta interval waktu kontak 45, 90 dan 120 menit. Parameter pengamatan yaitu keasaman (pH), mangan (Mn), BOD, dan COD. Dalam penelitian ini, jenis plat elektroda yang digunakan serta waktu kontak yang digunakan dipengaruhi oleh arus listrik yang diberikan. Dengan waktu kontak 45 menit, jenis plat Al-C adalah yang terbaik untuk menjernihkan air gambut dengan efisiensi 99,99%. Parameter penyisihan mangan (Mn) turun dari 0,17 mg/L menjadi 0,03 mg/L, dan efisiensi kebutuhan oksigen biologi (BOD) mampu mencapai 99,99%.
Charisma in the Islamic World: Theorizing Sacred Rulership in al-Qalqashandī’s Maʾāthir
Authors: Lohlker Rüdiger 
Published: December 2024

Abstract
One of the less studied works of the secretary of the Mamluk chancery al-Qalqashandī is the Maʾāthir, a book on the practice of secretaries in this chancery. The Maʾāthir provide ample insight into the ways the Caliphate and the Caliph are framed in the bureaucratic practice of the Mamluk empire. The specific approach to the framing of the Caliphate allows for a better understanding of the role of charismatic institutions in Islamic contexts; the role of charismatic objects is reconsidered. Thus, we will be able to rethink Weber’s notion of charismatic rule.
Aufklärung, Öffentlichkeit und Pädagogik
Authors: Ladenthin Volker , Obermaier Michael , Ode Erik 
Published: December 2024

Abstract
Enlightenment, Public and Pedagogy
Education and the public are inextricably linked. The public use of reason demanded by Kant not only requires free access to knowledge, but also an audience that can examine the validity claims of the statements. As public institutions, educational institutions such as schools and universities are just as involved in the process of enlightenment as scientific publication organs, which guarantee that a learned public can form in the name of political freedom and democracy. How fragile this connection can be is shown not only by the suppression of unpleasant positions from scientific and public discourse, but also by the marginalization of entire groups of people who are not heard or taken into account.
Revisiting the Endoscopic Third Ventriculostomy Success Score using machine learning: can we do better?
Authors: Adil Syed M. , Seas Andreas , Sexton Daniel P. , Warman Pranav I. , Wissel Benjamin D. , Carpenter Kennedy L. , Carter Lacey , Kolls Brad J. , Fuller Anthony T. , Lad Shivanand P. , Dunn Timothy W. , Fuchs Herbert , Vestal Matthew , Grant Gerald A. 
Published: December 2024

OBJECTIVE
The Endoscopic Third Ventriculostomy Success Score (ETVSS) is a useful decision-making heuristic when considering the probability of surgical success, defined traditionally as no repeat cerebrospinal fluid diversion surgery needed within 6 months. Nonetheless, the performance of the logistic regression (LR) model in the original 2009 study was modest, with an area under the receiver operating characteristic curve (AUROC) of 0.68. The authors sought to use a larger dataset to develop more accurate machine learning (ML) models to predict endoscopic third ventriculostomy (ETV) success and also to perform the largest validation of the ETVSS to date.

METHODS
The authors queried the MarketScan national database for the years 2005–2022 to identify patients < 18 years of age who underwent first-time ETV and subsequently had at least 6 months of continuous enrollment in the database. The authors collected data on predictors matching the original ETVSS: age, etiology of hydrocephalus, and history of any previous shunt placement. Next, they used 6 ML algorithms—LR, support vector classifier, random forest, k-nearest neighbors, Extreme Gradient Boosted Regression (XGBoost), and naive Bayes—to develop predictive models. Finally, the authors used nested cross-validation to assess the models’ comparative performances on unseen data.

RESULTS
The authors identified 2047 patients who met inclusion criteria, and 1261 (61.6%) underwent successful ETV. The performances of most ML models were similar to that of the original ETVSS, which had an AUROC of 0.693 on the validation set and 0.661 (95% CI 0.600–0.722) on the test set. The authors’ new LR model performed comparably with AUROCs of 0.693 on both the validation and test sets, with 95% CI 0.633–0.754 on the test set. Among the more complex ML algorithms, XGBoost performed best, with AUROCs of 0.683 and 0.672 (95% CI 0.609–0.734) on the validation and test sets, respectively.

CONCLUSIONS
This is the largest external validation of the ETVSS, and it confirms modest performance. More sophisticated ML algorithms do not meaningfully improve predictive performance compared to ETVSS; this underscores the need for higher utility, novelty, and dimensionality of input data rather than changes in modeling strategies.