bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Software Implementation of a Conversational Multilingual Avatar-Based Interactive Multifunctional AI Kiosk and Mobile Application With Computer Vision
Authors: Ravikumar Udayshankar 
Published: January 2024

Background: In an era of increasing globalization and digital
interaction, the demand for efficient, multilingual customer service
solutions is paramount. This study introduces a novel software
implementation of a conversational multilingual avatar-based interactive
multifunctional AI kiosk and mobile application with computer vision,
which is designed to address the challenges in delivering seamless,
interactive, and inclusive customer service. The system integrates
advanced technologies, including natural language processing, computer
vision, and artificial intelligence, to create a user-friendly,
avatar-based interactive platform. The purpose of this study is to
explore the software’s architecture, functionality, and effectiveness in
providing a multilingual, conversational interface for diverse user
demographics, particularly in kiosk and mobile application formats.
Results: The implementation demonstrated robust performance in several
key areas. The avatar-based interface, created using ReadyPlayerMe,
delivered a highly interactive and engaging user experience, enhanced by
computer vision technologies like OpenCV and Google ARCore for accurate
face detection and tracking. The system effectively utilized Whisper API
and Google Cloud’s Speech-to-Text (STT) and Text-to-Speech (TTS)
services to facilitate realtime language translation and processing.
This ensured seamless communication in multiple languages. The
integration with OpenAI’s GPT-3.5 model, prompt-tuned to specific
business data, provided contextually relevant and accurate responses,
significantly enhancing the user experience. Critical issues such as
privacy, data security, and real-time processing were effectively
addressed, ensuring user trust and system efficiency. Additionally, the
system demonstrated an ability to cater to a broad spectrum of
industries, making it a versatile tool in varied business scenarios.
Conclusions: The multifunctional conversational AI software effectively
bridges the communication gap in customer service interactions,
providing a scalable, secure, and user-friendly solution. Its ability to
engage users in their native language, coupled with its interactive
avatar-based interface, marks a significant advancement in the realm of
digital customer service solutions. This implementation holds
substantial potential for widespread adoption across various sectors,
offering implications for enhancing global customer service standards,
business efficiency, and user inclusivity. The success of this system
sets the stage for future innovations in AI-driven customer interaction
technologies.
Human-Aware Energy Beamforming for Microwave Wireless Power Transfer
Authors: Murata Kentaro , Kaneko Naoki , Muramatsu Kyoshiro , Yamamoto Haruki , Honma Naoki 
Published: January 2024

This paper proposes a novel human-aware energy beamforming (BF) method
for safe and secure microwave wireless power transfer (MWPT). The
proposed method first estimates an equivalent channel between a
transmitting array antenna and a human body from continuous-wave pilot
signals Doppler-shifted by human vital activities by utilizing the MWPT
system as a quasi-monostatic multiple-input multiple-output (or
single-output) radar. This allows the online estimation of the radio
frequency (RF) exposure power without prior human geometry information.
Then, the closed-form optimum BF weight can be derived to maximize the
figure of merit (FoM), defined as the ratio of the received power to
exposure power in the form of a generalized Rayleigh quotient. This
simultaneously facilitates the suppression of RF exposure and
enhancement of transfer efficiency.
Comprehensive experiments were conducted to evaluate the proposed BF
performance using our multi-antenna testbed with proven applicability to
various human-sensing experiments. The indoor experiment proved that the
proposed method performs null steering auto-tuned to human positions
within a distance of up to 3 m and to the physical characteristics of
six subjects, even under realistic conditions with multipath fading and
array error. It achieved the highest FoM of 21.65 dB among conventional
BF methods for a typical case. This was an improvement of 7.10 dB when
compared with the result of maximum ratio transmission BF, which
maximizes the transfer efficiency. This study demonstrates the
possibility of coexistence of humanity and MWPT technology for its
future social implementation.
Role of Employee Engagement as a Mediation of The Relationship Between Psychological Empowerment and Human Resource Practices on Job Satisfaction
Authors: Haryanto Bayu , Sri Mulatsih Listiana , Yuliviona Reni 
Published: January 2024

This research aims to analyze the relationship between psychological empowerment and human resource practice with job satisfaction mediated by employee engagement. The respondents in this study were all educational staff at a private university in Padang City, Indonesia, which numbered as many as 130 employees using census techniques. Data collection method using a questionnaire with measurement of research variables using a survey questionnary based on the Likert-5 scale. The data analysis model in this study was tested using SmartPLS software version 4.0.9.5. Research findings show that psychological empowerment affects employee engagement, psychological empowerment affects job satisfaction, and human resource practice affects job satisfaction. Human resource practices have no influence on employee engagement. Employee engagement have no influence on job satisfaction. Employee engagement does not mediate the relationship between psychological empowerment and job satisfaction. Employee engagement does not mediate the relationship between human resource practice and job satisfaction.
Unringing the bell: Successful debriefing following a rich false memory study
Authors: Greene Ciara M. , Ryan Katie M. , Ballantyne Lisa , Barrett Elizabeth , Cowman Conor S. , Dawson Caroline A. , Huston Charlotte , Maher Julie , Murphy Gillian 
Published: January 2024

AbstractIn rich false memory studies, familial informants often provide information to support researchers in planting vivid memories of events that never occurred. The goal of the current study was to assess how effectively we can retract these false memories via debriefing – i.e., to what extent can we put participants back the way we found them? We aimed to establish (1) what proportion of participants would retain a false memory or false belief following debriefing, and (2) whether richer, more detailed memories would be more difficult to retract. Participants (N = 123) completed a false memory implantation protocol as part of a replication of the “Lost in the Mall” study (Loftus & Pickrell, Psychiatric Annals, 25, 720-725, 1995). By the end of the protocol, 14% of participants self-reported a memory for the fabricated event, and a further 52% believed it had happened. Participants were then fully debriefed, and memory and belief for the false event were assessed again. In a follow-up assessment 3 days post-debriefing, the false memory rate had dropped to 6% and false belief rates also fell precipitously to 7%. Moreover, virtually all persistent false memories were found to be nonbelieved memories, where participants no longer accepted that the fabricated event had occurred. Richer, more detailed memories were more resistant to correction, but were still mostly retracted. This study provides evidence that participants can be “dehoaxed”, and even very convincing false memories can be retracted.
Pengujian sistem keamanan wireless router pada ekosistem rumah cerdas berbasis NIST sp800-115
Authors: Kusuma Mandahadi , Hariyadi Dedy , Kurniawan Hendarto , Muttaqin Filda Fikri Faizal 
Published: January 2024

Informasi pribadi yang terekam melalui perangkat yang digunakan perlu dijaga agar tidak dicuri atau disalahgunakan orang lain, sehingga sangat diperlukan sebuah konfigurasi jaringan yang lebih aman dari upaya peretasan. Termasuk diantaranya informasi pribadi yang terdapat di ekosistem rumah cerdas. Sebuah rumah yang seharusnya menjadi tempat paling nyaman jangan sampai terganggu karena salah mengkonfigurasi ekosistem rumah cerdas. Pada beberapa penelitian sebelumnya telah dibahas tentang celah konfigurasi keamanan pada infrastruktur jaringan, namun belum fokus pada ekosistem rumah cerdas dari sisi internal pengguna. Oleh karena itu dalam penelitian ini diusulkan model pengujian konfigurasi jaringan nirkabel 2.4 GHz pada ekosistem rumah cerdas menggunakan aplikasi yang dikembangkan khusus untuk pemeriksaan celah keamanan misconfiguration, yang diharapkan dapat memperluas penelitian celah keamanan infrastruktur jaringan berdasarkan kerangka NIST 800-115. Model pengujian pada aplikasi yang digunakan dapat memberikan informasi status aman dan tidak aman pada sebuah ekosistem jaringan nirkabel. Hasil temuan tersebut akan memberikan rekomendasi kepada pemilik jaringan nirkabel untuk melakukan sebuah tindakan konfigurasi ulang jaringan nirkabel-nya menjadi lebih aman.
ANALISA KINERJA ALGORITMA MACHINE LEARNING UNTUK PREDIKSI VIRUS HEPATITIS C
Authors: Gunawan Rahmad Gunawan , Ilham Pratama Muhammad 
Published: January 2024

Virus hepatitis C (HCV) adalah virus RNA dan salah satu patogen manusia yang dilahirkan melalui darah yang disebut sebagai Hepatitis C. Menurut World Health Organization (WHO), diperkirakan hampir 3% atau 120-130 juta penduduk dunia terinfeksi HCV dan 3-4 juta kasus infeksi baru. Diagnosa dini HCV belum efektif sehingga sebagian besar faktor yang berkontribusi terhadap penyakit masih belum jelas. Tujuan penelitian ini adalah mengimplementasikan algoritma machine learning untuk mengidentifikasi faktor yang berkontribusi terhadap virus hepatitis C dan permasalahan prediksi virus hepatitis C dengan melakukan perbandingan pada tiap algoritma untuk menentukan algoritma terbaik dalam memprediksi virus hepatitis C pada dataset HCV UCI Machine Learning Repository. Enam algoritma pengklasifikasi di usulkan yaitu Naive Bayes, Decision Tree, Logictic Regression, K-Nearest Neighbor, Support Vector Machine, dan Random Forest. Hasil menunjukkan dari nilai akurasi tiap algoritma didapati algoritma terbaik untuk memprediksi virus hepatitis C yaitu random forest dengan tingkat akurasi 98.37% dan didapati fitur yang paling berkontribusi terhapat model prediksi pasien infected HCV dan not infected HCV yaitu AST(Aspartat aminotransferase) dan ALP(alkaline phosphatase).
Comparative Statics With Linear Objectives: Normality, Complementarity, and Ranking Multi‐Prior Beliefs
Authors: Dziewulski Pawel , Quah John K.-H. 
Published: January 2024

We formulate an order over constraint sets

A
⊆

R

ℓ

, called the
parallelogram order, which guarantees that argmin{
p ⋅
x:
x ∈
A} increases in the product order as
A increases in the parallelogram order, for any vector

p
∈

R

ℓ

. Using this result, we characterize the utility/production functions that lead to normal demand as well as the closely related class of production functions with marginal costs that increase with factor prices. By generalizing the concept of supermodularity, we also characterize the class of production functions for which factors are complements. In the context of decision‐making under uncertainty, our new set order leads to natural generalizations of first‐order stochastic dominance in multi‐prior models.
Qu’est-ce que la douceur dialectique ?
Authors: Roche Florentin 
Published: January 2024

Le secours d’une méthode « plus douce et plus dialectique » dans le Ménon satisfait une double exigence : épistémologique et psychologique. Porté par le désir de savoir, le dialogue des interlocuteurs est vécu de l’intérieur sous la forme d’un conflit psychique à apaiser, comparable au dialogue de l’âme décrit dans le Phédon. À l’idéal d’une discussion située sur un plan purement rationnel, Platon substitue donc un dialogue possible, entre mortels : le philosophe n’a pas dissocié l’activité intellectuelle, au moyen de laquelle l’âme calme les passions, de l’examen critique consistant à laisser les apparences pour la vérité.
Formes passives et effraction dans l’intime (Armance, Le Rouge et le Noir, La Chartreuse de Parme)
Authors: Gonon Laetitia 
Published: January 2024

Cet article étudie les formes de phrases passives qui expriment la surprise : celle qui survient devant un événement inattendu (être surpris/étonné de/par), et celle que les personnages ressentent lorsque le réel fait irruption dans leur vie intérieure (être interrompu par, être vu, être deviné…). La surprise s’y conjugue à l’expression du haut degré, et la vie intérieure des personnages est narrativisée par la forme passive, qui fait d’eux, le point d’entrée dans le réel romanesque : ce qui est perçu est perçu par eux, comme les causes et les conséquences de leur trouble. Aspirant au secret ou à la solitude, les héros stendhaliens en sont souvent détournés par le regard d’autrui, qui les interrompt, les surprend, les reconnaît.
Lord Link : représenter et incarner l’homosexualité dans Lucien Leuwen
Authors: Sallé Vincent 
Published: January 2024

À travers l’analyse de stratégies de dicibilité de l’homosexualité impliquant narrateur et lecteur dans une fine connaissance subculturelle liée au genre, à la théâtralité et à la sexualité, nous montrons que le personnage de Lord Link en dit davantage que la célèbre marginale « évêque de Clogher, mais ne pas le dire » pouvait le laisser croire. L’incarnation audacieuse d’un homosexuel libre et puissant, ami et mentor éphémère du héros, a pu conduire Stendhal à retrancher le passage du manuscrit.
Single-Molecule DNA Methylation Reveals Unique Epigenetic Identity Profiles of T Helper Cells
Authors: Goldsmith Chloe , Thevin Valentin , Fesneau Olivier , Matias Maria I , Perrault Julie , Abid Ali Hani , Taylor Naomi , Dardalhon Valérie , Marie Julien C , Hernandez-Vargas Hector 
Published: January 2024

Abstract
Both identity and plasticity of CD4 T helper (Th) cells are regulated in part by epigenetic mechanisms. However, a method that reliably and readily profiles DNA base modifications is still needed to finely study Th cell differentiation. Cytosine methylation in CpG context (5mCpG) and cytosine hydroxymethylation (5hmCpG) are DNA modifications that identify stable cell phenotypes, but their potential to characterize intermediate cell transitions has not yet been evaluated. To assess transition states in Th cells, we developed a method to profile Th cell identity using Cas9-targeted single-molecule nanopore sequencing. Targeting as few as 10 selected genomic loci, we were able to distinguish major in vitro polarized murine T cell subtypes, as well as intermediate phenotypes, by their native DNA 5mCpG patterns. Moreover, by using off-target sequences, we were able to infer transcription factor activities relevant to each cell subtype. Detection of 5mCpG and 5hmCpG was validated on intestinal Th17 cells escaping transforming growth factor β control, using single-molecule adaptive sampling. A total of 21 differentially methylated regions mapping to the 10-gene panel were identified in pathogenic Th17 cells relative to their nonpathogenic counterpart. Hence, our data highlight the potential to exploit native DNA methylation profiling to study physiological and pathological transition states of Th cells.
Code Switching in Television Advertisements in Bangladesh: Features and Facts
Authors: Akter Most Salma , Mohiuddin Mohammad Golam , Joher Umme Hani M 
Published: January 2024

Switching codes has been a strategic communication tool in today's world of business and trades, and it is largely noticeable in television advertisements. The paper explores the striking features of code switching and investigate the reasons behind Bangla-English code switching in Bangladeshi television advertisements and its impact on viewers. The study used a mixed method approach for data collection including questionnaire, semi structured interview and observations. The researchers conducted interview of advertising managers, questionnaire survey among students and mass people, and observed various TV channels to collect authentic data. The results reveal that intra-sentential code switching is the most prominently employed type of code switching in television advertisements. The study also finds that code switching is used in television advertisements to attract and engage viewers, bridge lexical gaps, emphasize key points, and enhance contextual understanding. Besides, the results demonstrate that code switching has a notable impact on viewers, enhancing their ability to recall advertisements and influencing their purchasing decisions. The researchers recommend that advertisers should consider the social standing of their intended audience and determine whether code switching aligns well with both the product's image and the social identities of the consumers.
Keywords: code-switching, television, advertisement, impact on viewers
Exploring teaching practices to stimulate meaningful language use in the Frisian trilingual primary school
Authors: Tjepkema Eabele , Duarte Joana 
Published: January 2024

In Frisian trilingual primary schools, Dutch, Frisian and English are taught through content and language integrated learning (CLIL). CLIL is often characterized as an umbrella term, which can be carried out in various ways, and including regional and/or minority languages which are used to different extents in the out-of-school context (Cenoz et al., 2014). Through the planning of meaning-focused communicative tasks (Ellis, 2009a), using different formats (Llinares & Dalton-Puffer, 2015), the students’ language use can be stimulated by co-construction of knowledge. However, little is known about how CLIL is implemented in the Frisian trilingual primary schools and how these practices are related to development in the three languages.
This paper addresses the following research question: Which meaning-focused teaching practices to stimulate target language use can be observed in the three target language lessons (Dutch, Frisian and English) at the end of the Frisian trilingual primary school (students aged 10 - 12 years), and how are these related to student language development in these languages? Data were collected by event sampling observations of 51 content-lessons in the three target languages in seven trilingual primary schools (n = 165 students), and for which an observation instrument was developed (Tjepkema, 2021) focusing on the CLIL teaching practices. Student language development in the three target languages was assessed using vocabulary and reading comprehension test. Taking a dynamic systems perspective (De Bot et al. 2007), quantitative analysis included the relation between the teaching practices to stimulate meaningful language use in the three languages and student language development in these languages. Results show that higher occurrences of the stimulation of meaningful language use are significantly related only to Frisian language development in terms of vocabulary and reading comprehension. Furthermore, there is evidence for a relation between the stimulation of meaningful language use in the Dutch lessons and Dutch reading comprehension development. However, no relation was found between meaningful use of English in English CLIL lessons and the students’ development of English.
Implications of our results for CLIL and bilingual education are related to the importance of developing teacher competences to stimulate meaningful language in content-based minority language education. Other implications for future research and policy making in multilingual education systems are discussed.
The Influence of Business Location and Word of Mouth on Purchasing Decisions
Authors: Sudirjo Frans , Paramita Catarina Cori Pradnya , Yani Indri , Marjuki Marjuki , Utami Eva Yuniarti 
Published: January 2024

A strategic business location that is close to the target market is one of the factors that researchers believe can influence consumer purchasing decisions. This close location will make consumers decide to purchase, be satisfied, and communicate with other consumers to encourage enthusiastic other consumers to share purchasing decisions with producers who have sales points in strategic locations. Therefore, this research aims to analyze the influence of business location and word of mouth on consumer purchasing decisions. This research is quantitative research with an explanatory approach that uses a questionnaire method in collecting data. The questionnaire was distributed to Indomaret and Alfamart consumers spread throughout Indonesia with the criteria of having shopped at least 3 times. The questionnaire contains statements of agree, strongly agree, disagree, strongly disagree, and neither agree nor the same on the 16 question items asked. The result thi research show the Business Location variable can have a positive relationship and a significant influence on Purchasing Decisions because the P-Values value is positive and is below the significance level of 0.036. This is in line with the researcher's statement and the direction of the questionnaire questions above which shows that a strategic business location can increase purchasing decisions because it is easy to reach, close, and does not take a lot of time. Thus, the first researcher's hypothesis and beliefs can be justified and accepted. Apart from that, the results of the second research hypothesis and beliefs also show the same results if the Word of Mouth variable has a positive relationship and a significant influence on Perchase Decision because the P-Values value is positive and is below the 0.05 significance level, namely 0.029. It is reasoned that word of mouth or word of mouth communication between consumers can increase purchasing decisions and enthusiasm between consumers.

Keywords: Business Location, Word of Mouth, Purchase Decision