bluuebunny/crossref_metadata_2025_split huggingface dataset:
Teaching students to write academic papers through the use of generative artificial intelligence tools
Authors: Khaustov O. N. , Tormyshova T. Yu. , Sukhanova N. I. 
Published: November 2024

Importance. Currently, there is an increasing use of generative artificial intelligence (AI) tools in foreign languages teaching, particularly in writing. Generative AI stands out for its ability to provide users with evaluative feedback, which allows students to correct and improve their written work. Some scholars have argued for the inclusion of extracurricular interaction with generative AI in traditional teaching methods in order to utilize its linguistic and didactic potential for revising drafts. However, the effectiveness of these teaching methods has not always been a focus of scientific research. The purpose of the study is to devise a methodology for instructing students in writing in a foreign language, incorporating their extracurricular engagement with one of the instruments of generative AI, which provides feedback. Additionally, it aims to test the efficacy of this approach during experimental instruction.Materials and Methods. The study involved second-year students of the specialty 45.05.01 “Translation and Translation Studies” of Lipetsk State Technical University. The participants of the control group (N = 25) are trained according to the traditional teaching method of writing in a foreign language, which does not involve the use of generative AI tools. The participants of the experimental group (N = 25) used the author’s methodology, which implies their extracurricular interaction with one of the tools of generative AI (ChatGPT 4.0, Criterion, YandexGPT). The aspects of control in the study are the following writing skills: a) writing a business letter; b) writing an essay of a contrastive and comparative nature; c) writing an essay of an argumentative nature; d) writing a film or book review. The Student’s t-test is used as a method of statistical data processing. Results and Discussion. During the experimental training, it is proved that the innovative author’s method of teaching students writing in a foreign language, including extracurricular interaction of students with generative artificial intelligence tools, is more effective than traditional teaching methods in developing students’ writing skills: writing a business letter (t = 3.19 at p = 0.001), writing essays of a contrastive and comparative nature (t = 3.19 at p = 0.002), writing essays of an argumentative nature (t = 2.28 at p = 0.001), writing a film or book review (t = 2.46 at p = 0.001).Conclusion. The novelty of the research lies in the development of a step-by-step methodology for teaching students writing in a foreign language, including extracurricular interaction of students with one of the generative artificial intelligence tools (ChatGPT 4.0, Criterion, YandexGPT). Based on the feedback they received from the AI, the students finalized draft versions of their work. The proposed methodology can be used in teaching students and students writing in a foreign language in secondary schools and universities.
Development of students’ foreign language communicative skills based on the character.ai web application
Authors: Filatov E. M. 
Published: November 2024

Importance. Modern Artificial Intelligence (AI) technologies can already significantly transform the traditional foreign language teaching process. Researchers from different countries are considering the linguistic and didactic potential of different artificial intelligence technologies for solving some educational and professional tasks. Character.ai is one of the artificial intelligence tools on the basis of which it is possible to develop foreign language communicative skills of the learner. At the same time, the development of a step-by-step foreign language teaching methodology based on character.ai has not been the subject of separate research. The purpose of the study is to examine the aspect of developing students’ foreign language communicative skills on the basis of character.ai web application and to develop a step-by-step method.Materials and Methods. The research methods are: analysis of pedagogical and methodical literature on the development of students’ foreign language communicative activity skills on the basis of various artificial intelligence tools, as well as the use of neural networks in foreign language teaching. Research and review articles from scientific journals included in the international scientific databases Scopus and Web of Science and the list of HAC RF have been used as materials for the study. An online survey has been conducted to determine students’ attitudes towards the use of character.ai web application in the teaching process. Results and Discussion. The following methodical functions of character.ai are identified: a) the possibility of creating a virtual person from scratch and choosing from ready-made ones; b) the possibility of using voice communication with a virtual person; c) the possibility of creating your own character and d) the possibility of changing the virtual person’s answer. These functions formed the basis for the development of a method of developing foreign language communicative activity skills on the basis of students’ interaction with the character.ai web application, consisting of six stages: 1) introductory; 2) goal setting; 3) technological; 4) interaction with the artificial intelligence; 5) discussion of results; and 6) assessment. A survey has been conducted to determine the learning domains of the learners’ use of the character.ai web application. The results of the survey show that: a) 37.4 % of the respondents used character.ai to practice role-playing; b) 40.2 % – to practice writing interaction; c) 22.4 % – to practice oral interaction.Conclusion. The novelty of this study consists in highlighting the methodical functions of the web application character.ai, which should be taken into consideration when developing methods of teaching a foreign language on its basis. The prospects of the study consist in the development of methods for the development of foreign language communicative skills of higher education students on the basis of the web application character.ai.
“A curiosity that I want to discover for myself…”: the Russian language as perceived by the citizens of the Republic of Equatorial Guinea
Authors: Sushkova N. A. , Shurupova O. S. 
Published: November 2024

Importance. The current problem of the Russian language perception by citizens of the Republic of Equatorial Guinea is examined. The familiarity level of Equatorial Guineans with the Russian language and culture, as well as their willingness to study Russian as a foreign language, is ana lyzed. The purpose of the study is to use a questionnaire to analyze the peculiarities of the Russian language perception by residents of Equatorial Guinea, as well as to identify ways to overcome possible difficulties in the study of Russian as a foreign language by Equatorial Guineans at the in itial stage.Materials and Methods. The results of a survey conducted among of the Republic of Equatorial Guinea residents, which made it possible to formulate recommendations for teaching Equatorial Guineans the Russian language and forming a positive image of Russia as a great power in stu dents, are presented. The respondents included 9 men and 17 women aged 19 to 28.Results. The study identified the motives of the Republic of Equatorial Guineacitizens to study Russian. The survey showed a high interest level in learning foreign languages, including Russian, as well as a positive attitude towards the Russian Federation, but at the same time revealed an al most complete absence of associations with Russian culture among the respondents. 100 % of re spondents consider it necessary to study Russian, as it will help in their professional activities. At the same time, 19 % of respondents do not have Russian culture knowledge, which proves the need for its further popularization. Although 69 % of respondents consider Russian difficult to learn, they show a high willingness to learn it.Conclusions. The theoretical value of the obtained results is due to the fact that the study allowed to identify the main perception features of the Russian language by residents of the Republic of Equatorial Guinea who began to study it. Both the questionnaire created by the authors and the recommendations for teaching Russian to Equatoguineans developed on the survey basis is of practical importance.
WITHDRAWN: Adaptive, Centralized and Combined Load Shedding Scheme to Improve Power System Stability
Authors: Mehrabi Kazem , Farhadi-Kangarlu Mohammad , Toosi Behrooz 
Published: November 2024

Abstract

The full text of this preprint has been withdrawn, as it was submitted in error. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Area spectral efficiency and coverage probability enhancement for indoor industrial internet of things 5G network
Authors: Sarma Subhra Sankha , Ramanbhai Sagar PareshKumar 
Published: November 2024

Abstract

This article proposes an efficient resource allocation method for Industrial Internet of Things (IIoT) users to communicate among themselves in an underlaying multi-cell mm-Wave 5G cellular uplink network in an indoor environment for enhancing the coverage probability (CP) and area spectral efficiency (ASE) of the network. The IIoT users act as smart sensors in an indoor urban environment where the exchange of information takes place among each other through the 5G cellular network. Interference contributing factors of the mm-Wave band are also taken into account for analyzing its effect on IIoT users. This strictly limits the network coverage due to signal degradation over long distances. Thus, the expression for CP is derived by employing stochastic geometry methods, which improve network performance. Also, the expression for ASE is computed by deriving the probability density function (PDF) of the signal-to-interference plus noise ratio (SINR) at the IIoT end user. Experimental results show a better output of CP of around 0.98 at 1 dB and 0.68 at 5 dB of transmit power for IIoT users with a pathloss exponent of 4. Furthermore, the system also achieves a maximum ASE value of 452 bps⁄Hz/m2 at a distance of 10 m between the IIoT users with a pathloss exponent of 4. Simulation results validate the obtained theoretical values.
Glutamine-αKG axis affects dentin regeneration and regulates osteo/odontogenic differentiation of mesenchymal adult stem cells via IGF2 m6A modification
Authors: Tian Qinglu , Gao Shiqi , Li Siying , Wan Mian , Zhou Xin , Du Wei , Zhou Xuedong , Zheng Liwei , Zhou Yachuan 
Published: November 2024

Abstract

Background
Multi-lineage differentiation of mesenchymal adult stem cells (m-ASCs) is crucial for tissue regeneration and accompanied with metabolism reprogramming, among which dental-pulp-derived m-ASCs has obvious advantage of easy accessibility. Stem cell fate determination and differentiation are closely related to metabolism status in cell microenvironment, which could actively interact with epigenetic modification. In recent years, glutamine-α-ketoglutarate(αKG) axis was proved to be related to aging, tumorigenesis, osteogenesis etc., while its role in m-ASCs still lack adequate research evidence.
Methods
We employed metabolomic analysis to explore the change pattern of metabolites during dental-pulp-derived m-ASCs differentiation. A murine incisor clipping model was established to investigate the influence of αKG on dental tissue repairment. shRNA technique was used to knockdown the expression of related key enzyme-dehydrogenase 1(GLUD1). RNA-seq, m6A evaluation and MeRIP-qPCR were used to dig into the underlying epigenetic mechanism.
Results
Here we found that the glutamine-αKG axis displayed an increased tendency along with the osteo/odontogenic differentiation of dental-pulp-derived m-ASCs, same as expression pattern of GLUD1. Further, the key metabolite αKG was found able to accelerate the repairment of clipped mice incisor and promote dentin formation. Exogenous DM-αKG was proved able to promote osteo/odontogenic differentiation of dental-pulp-derived m-ASCs, while the inhibition of glutamine-derived αKG level via GLUD1 knockdown had the opposite effect. Under the circumstance of GLUD1 knockdown, extracellular matrix(ECM)function and PI3k-Akt signaling pathway was screened out to be widely involved in the process with insulin-like growth factor 2 (IGF2) participation via RNA-seq. Inhibition of glutamine-αKG axis may affect IGF2 translation efficiency via m6A methylation and can be significantly rescued by αKG supplementation.
Conclusion
Our findings indicate that glutamine-αKG axis may epigenetically promote osteo/odontogenic differentiation of dental-pulp-derived m-ASCs and dentin regeneration, which provide a new research vision of potential dental tissue repairment therapy method or metabolite-based drug research.
Investigation of pollution effect reducing energy production in solar panels and self cleaning with hydrophilic nano coatings without using water
Authors: Akı Ozan , Akal Dinçer , Tez Taşkın , umut ilhan 
Published: November 2024

Abstract

There is a growing interest in solar electricity generation in many countries worldwide. This trend is the recent installation of photovoltaic panels rather than solar power plants. However, the conversion efficiency of photovoltaic (PV) panels in solar electricity generation is declining due to the accumulation of dust and surface contamination. Furthermore, the process of cleaning photovoltaic (PV) panels situated on the roofs of residential and commercial buildings is a challenging and potentially hazardous task. In this study, the SELFCLEAN PV hydrophilic nano coating was applied to a single photovoltaic panel on a solar energy conversion system at Trakya University Faculty of Engineering, with consideration given to the roof slopes of buildings in Edirne province. During the summer season, when solar radiation is its highest, continuous data was collected over four months. Upon analysis of the results with this application, it was observed that there was an 8.14% increase in energy production in June, a 7.73% increase in July, a 6.34% increase in August, and a 5.34% increase in September, in comparison to the standard PV panel. Furthermore, cleaning PV panels over four months offers labor and cost advantages. Furthermore, water use is not required, significantly contributing to sustainability.
Helicobacter pylori eradication and gastric cancer prevention: Pooled analysis of large-scale cohort studies in Japan
Authors: Ono Ayami , Tanaka Shiori , Sawada Norie , Goto Atsushi , Tsugane Shoichiro , Muraki Isao , Yamagishi Kazumasa , Sasaki Yu , Abe Yasuhiko , Kayama Takamasa , Ueno Yoshiyuki , Saito Eiko , Yamaji Taiki , Iwasaki Motoki , Inoue Manami 
Published: November 2024

Abstract

Helicobacter pylori (H. pylori) infection is the established cause of gastric cancer. Although H. pylori eradication is suggested to decrease gastric cancer risk, this has not been fully investigated in general populations. This analysis included 48,530 Japanese men and women aged 40-74 years from four cohort studies. At baseline, the participants provided a self-reported eradication history, and serum anti-H. pylori IgG titers and the atrophic gastritis (AG) severity. We examined the association between eradication history and gastric cancer risk with consideration to H. pylori positivity and AG by Cox proportional hazards regression models. From 2010 to 2018 (average 5.8 years), 649 gastric cancer cases were diagnosed. Compared with those who were negative for both H. pylori and AG as reference, gastric cancer risk was 5.89 times higher (95%CI: 4.41-7.87) in those who were H. pylori positive and/or AG and with no eradication at baseline. Gastric cancer risk among those who underwent eradication before baseline decreased after a temporal increase in risk following eradication (baseline to <1y: HR 1.74, 95%CI 1.18-2.57; 1y to <6y: HR 0.81, 95%CI 0.59-1.11; ≥6y: HR 0.44, 95%CI 0.28-0.68). In a large Japanese general population, H. pylorieradication was associated with long-term reduction in gastric cancer risk.
Weakly Supervised Language Models for Automated Extraction of Critical Findings from Radiology Reports
Authors: Das Avisha , Talati Ish , Chaves Juan Manuel Zambrano , Rubin Daniel , Banerjee Imon 
Published: November 2024

Abstract

Critical findings in radiology reports are life threatening conditions that need to be communicated promptly to physicians (“critical findings”) for timely man-agement of patients. Flagging radiology reports of such incidents could facilitate opportune communication of critical findings. With advancements in natural language processing (NLP), large language models (LLMs) can be trained with task-specific instructions and examples to mine information from narrative texts. We believe that similar methods can be applied to radiology reports to identify and extract critical findings from these reports. However, due to the rarity of such critical events, there is a dearth of manually labeled datasets of critical findings in radiology reports. To overcome this limitation, we train instruction-tuned MISTRAL-based language models in a two-phase weakly supervised fine-tuning setup on unlabeled radiology reports from Mayo Clinic (n=15000). The weakly fine-tuned model is then used to automatically extract critical terms from both internal and external test datasets - Mayo Clinic (n=80) and MIMIC-III (n=123) 1 respectively against the expert-annotation. We also evaluated performance of the models on a large-scale MIMIC-IV reports (n=5000) using automated LLM-aided evaluation metrics - G-eval and Prometheus. We observe that, for both manual and LLM-based evaluations, weakly supervised fine-tuning improves model performance, showing successful task-specific alignment. For community use, we released the trained model with open-source academic license∗
Utilization and outcomes of serial cervical cancer screening in a National Breast and Cervical Cancer Early Detection Program (NBCCEDP) in a non-Medicaid expansion state
Authors: Mudaranthakam Dinesh Pal , Ratnaparkhi Rubina , Ismail Ahmed , Krebill Hope , Cook Ian , Javellana Melissa , Jewell Andrea , Spoozak Lori , Emerson Amanda , Ramaswamy Megha , Calhoun Elizabeth 
Published: November 2024

Abstract

Purpose
Since 1990, the Centers for Disease Control and Prevention (CDC)’s National Breast and Cervical Cancer Early Detection Program (NBCCEDP) has offered free cervical cancer screening to low-income, uninsured patients, increasing single time point screening and early detection rates. Little is known about NBCCEDP’s longitudinal effectiveness. The objective of this study was to assess utilization of Kansas’s NBCCEDP, Early Detection Works (EDW) for one-time versus serial screening and compare rates of cervical dysplasia between groups.
Methods
A retrospective cohort study was conducted among patients who received cervical cancer screening through EDW from 2000–2021. Demographic factors, Papanicolaou (Pap) test, and Human papillomavirus (HPV) results were compared between patients with one screening versus multiple. Descriptive statistics were performed.
Results
From 2014–2021, 3.71–7.06% of eligible patients completed screening through EDW annually. 17.4% of 58,582 eligible patients were up to date with screening in 2020. Rural patients and those under age forty were less likely to have EDW screening. Of 43,916 ever-screened patients, 14,638 (33.3%) received multiple screenings. 77% of patients did not have HPV testing; rates were lower in serially screened patients. Cervical dysplasia rates differed minimally between groups.
Conclusion
Despite screening 24,017 patients over 7 years, EDW maintains up to date screening for under one-fourth of eligible Kansans. Young and rural patients less frequently access EDW. HPV testing is underutilized, which limits the negative predictive value of screening. Serial screening is largely used by low-risk patients currently. Identification and prioritization of serial screening in high-risk could increase program impact.
Aditya Solar wind Particle Experiment (ASPEX) onboard Aditya–L1: The Supra-Thermal and Energetic Particle Spectrometer (STEPS)
Authors: Goyal Shiv Kumar , Tiwari Neeraj Kumar , Patel Arpit R. , M. Shanmugam , Vadawale Santosh V. , Chakrabarty Dibyendu , Sebastian Jacob , Dalal Bijoy , Sharma Piyush , Sarkar Aveek , Sarda Aaditya , Ladiya Tinkal , Verma Abhishek J. , Singh Nishant , Kumar Sushil , Painkra Deepak Kumar , Kumar Prashant , Shah Manan S. , Adhyaru Pranav R. , Adalja Hiteshkumar L. , Banerjee Swaroop B. , K.P. Subramanian , Bapat Bhas , Dadhania Madhavji B. , Kumar Abhishek , P. Janardhan , Bhardwaj Anil 
Published: November 2024

Abstract

Aditya-L1, the first dedicated Indian solar mission is launched on 02 September 2023 and has been placed in a halo orbit around the first Lagrange point (L1) of the Sun-Earth system on 06 January 2024. Aditya Solar wind Particle EXperiment (ASPEX) is one of the three in-situ science experiments on-board the Aditya-L1 mission that provides measurements of primarily protons and alphas of solar wind, suprathermal, and energetic particles in the energy range from 100 eV to 6 MeV/nucleon. ASPEX consists of two independent spectrometers: Solar Wind Ion Spectrometer (SWIS: 100 eV–20 keV) and Supra Thermal and Energetic Particle Spectrometer (STEPS: 20 keV/nucleon–6 MeV/nucleon). Here, we provide the details of the STEPS configuration, ground calibration, and in-flight performance. After the Aditya-L1’s launch, two STEPS units were switched-on during the Earth-bound phase on 10 September 2023. The STEPS has carried out measurements in the Earth-bound orbit for altitudes > ∼ 8 RE , and also in the cruise phase from Earth to the halo orbit and is continuously operational after insertion to the L1 orbit. The performance of STEPS is as expected during all the phases of the mission so far and all its observations are found to be consistent with the similar measurements from other contemporary instruments at the L1 point.
Assessment of depression, PTSD, and insomnia symptoms in a cohort of Palestinian migrants residing in Jordanian camps during the outbreak of the War on Gaza: Prevalence and risk factors
Authors: Gammoh Omar , Bazi Saleh , Akash Ruba Al , Sayaheen Bilal , Alsous Mervat , Alomari Albara 
Published: November 2024

Abstract

The present study sought to examine the prevalence and correlates of depression, PTSD, and insomnia in a cohort of Palestinian refugees residing in camps located in Jordan during the outbreak of the War on Gaza on Oct.7th .This is a cross-sectional cohort study that employed the convenient sampling method to recruit Palestinian refugees residing in Irbid and Azmi Almufti camps for Palestinian refugees. Depressive symptoms were assessed using the Patient Health Questionnaire (PHQ-9) scale. The self-reported PTSD symptoms were evaluated using the brief PTSD scale, and insomnia severity was assessed using the Insomnia Severity Index -Arabic scale (ISI-A). The data analysis from 258 participants showed that severe depression was reported in 178 participants (69%). Additionally, 127 participants (49.2%) reported severe PTSD symptoms, and 156 participants (60.5%) reported severe insomnia symptoms. Regression analysis revealed that “Residents of Azmi Almufti camp” was a significant risk factor for severe depression (OR = 2.22, 95% 1.28–3.85, p = 0.004) and severe PTSD (OR = 1.81, 95% CI = 1.10–2.99, p = 0.02). The use of over-the-counter antihistamines as a sleep aid was a risk factor for severe insomnia (OR = 3.19, 95%CI = 1.17–8.71, p = 0.02) and PTSD (OR = 3.32, 95% CI = 1.34–8.21, p = 0.01). The conflict in Gaza has been observed to correlate with mental health challenges, particularly among Palestinian refugees residing in Jordan.