bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationship of Self-perceived Stress and Expression of Salivary Cortisol in Relation to Gender and Academic Levels among Dental Students
Authors: AlSarhan Mohammed , AlJasser Reham , AlOraini Saleh , Alotaibi Dalal H , Alsinaidi Aljoharah Abdullah , Habib Syed Rashid 
Published: February 2024

Purpose
Although cortisol is commonly regarded as the body's stress hormone, it also has a range of other effects on other biological functions. The aim of this prospective cohort's study was to examine the link between self-perceived stress and salivary cortisol expression in relation to gender and academic levels in a subgroup of dental students.

Material and Methods
151 students (79 males and 72 females) who provided written consent took part in this study. To explore the causes of self-perceived stress and divide the participants into Mild, Moderate, and High-stress categories, a self-administered stress questionnaire was employed. The enzyme-linked immunosorbent assay (ELISA) was utilized to quantify the level of cortisol present in saliva samples. Salivary cortisol levels, self-perceived stress, and demographic data, including age, gender, and educational attainment, were recorded for every participant. Chi-square and two-tailed Student's t-tests (0.05) were employed to analyze group comparisons.

Results
Female students responded more stressfully (P<0.05) to questions on decision-making issues, academic dishonesty, a hectic course load, a lack of downtime, the transition from the pre-clinic to the clinic, and the challenge of mastering fine manual dexterity. For male and female subjects, the mean & standard deviation of levels of cortisol were 1.54+0.41 and 1.28+0.45, respectively (p=0.000). At preclinical and clinical levels, the mean & standard deviation of levels of cortisol were 1.48+0.44 and 1.37+0.45, respectively (P=0.150).

Conclusion
Female students appeared to have a higher self-assessed stress level. Male students had significantly higher levels of salivary cortisol in comparison to female students. No significant differences were found for the levels of salivary cortisol at the preclinical and clinical academic levels.
Investigating the Relationship Between COVID-19 Stress in Pregnant Women and Mode of Delivery, APGAR Score, and Anthropometric Indices of Newborns
Authors: Nahidi Mahsa , Sinaei Masoumeh , Mask Mahin Kiyani , Saberi Maryam , Kavoosi Jalal , Moradi Marjan , Raesi Rasoul 
Published: February 2024

Background
The COVID-19 pandemic led to a wave of anxiety and stress in all segments of society, especially among pregnant women. Stress poses a significant health concern for pregnant women, potentially impacting maternal and fetal well-being.

Aim
This study aims to explore the relationship between COVID-19 stress in pregnant women and the mode of delivery, APGAR score, and anthropometric indices of newborns.

Methods
A cross-sectional study was conducted in 2021, employing a survey method on 195 pregnant women who sought delivery at 22 Bahman Hospital in Khaf. Data collection involved the use of the standard COVID Stress Scale (CSS). SPSS-22 software was utilized for the analysis, employing Pearson correlation coefficient and multiple linear regression tests at a significance level of 0.05.

Results
Pregnant women who underwent cesarean sections exhibited significantly higher levels of COVID-19-related stress compared to those who had natural deliveries (p<0.001). A significant negative correlation was observed between the APGAR scores in the first and fifth minutes and the anthropometric indices (weight, length, and head circumference) of newborns concerning COVID-19 stress (p<0.001). Moreover, maternal stress emerged as a predictor for the type of delivery, APGAR scores, length, and head circumference of newborns (p<0.001).

Conclusion
The study underscores the adverse impact of COVID-19 stress on maternal pregnancy outcomes, particularly leading to elevated cesarean section rates. The substantial influence of this stress on the APGAR score and anthropometric indices of newborns highlights the significance of implementing screening, counseling, and stress reduction education for pregnant women during the COVID-19 pandemic and beyond.
A Bayesian System to Detect and Track Outbreaks of Influenza-Like Illnesses Including Novel Diseases: Algorithm Development and Validation (Preprint)
Authors: Aronis John M , Ye Ye , Espino Jessi , Hochheiser Harry , Michaels Marian G , Cooper Gregory F 
Published: February 2024

BACKGROUND

The early identification of outbreaks of both known and novel influenza-like illnesses (ILIs) is an important public health problem.

OBJECTIVE

This study aimed to describe the design and testing of a tool that detects and tracks outbreaks of both known and novel ILIs, such as the SARS-CoV-2 worldwide pandemic, accurately and early.

METHODS

This paper describes the ILI Tracker algorithm that first models the daily occurrence of a set of known ILIs in hospital emergency departments in a monitored region using findings extracted from patient care reports using natural language processing. We then show how the algorithm can be extended to detect and track the presence of an unmodeled disease that may represent a novel disease outbreak.

RESULTS

We include results based on modeling diseases like influenza, respiratory syncytial virus, human metapneumovirus, and parainfluenza for 5 emergency departments in Allegheny County, Pennsylvania, from June 1, 2014, to May 31, 2015. We also include the results of detecting the outbreak of an unmodeled disease, which in retrospect was very likely an outbreak of the enterovirus D68 (EV-D68).

CONCLUSIONS

The results reported in this paper provide support that ILI Tracker was able to track well the incidence of 4 modeled influenza-like diseases over a 1-year period, relative to laboratory-confirmed cases, and it was computationally efficient in doing so. The system was also able to detect a likely novel outbreak of EV-D68 early in an outbreak that occurred in Allegheny County in 2014 as well as clinically characterize that outbreak disease accurately.

CLINICALTRIAL
Non-linear Interaction between Cold Front Induced Storm Surge and Tides in a Shallow Bayhead Delta
Authors: Feizabadi Sajjad , Li Chunyan , Hiatt Matthew 
Published: February 2024

Atmospheric cold fronts are frequently occurring perturbations to the
northern Gulf of Mexico coastal region. Given the low-lying elevations
in this region and the connectivity between distributary channels and
deltaic wetlands, the nonlinear interplay between the cold frontinduced
storm surge and tidal oscillations are likely important hydrodynamic
processes regulating circulation and sediment dynamics. This study uses
the Delft3D Flexible Mesh numerical modeling suite to assess the water
level fluctuations resulting from the non-linear interaction between
cold front induced storm surge and tidal oscillations in Wax Lake Delta
(WLD) between December 2022 and January 2023. The WLD is a small,
dynamic sub-delta located in Louisiana, USA, known for its ongoing
progradation. The primary focus of this study lies on analyzing two cold
fronts that approach from the northwest direction. The results
illustrate that within the shallow, vegetated wetland interiors with
spatially-variable inundation, the water level fluctuations resulting
from non-linear interaction can exceed four times the water depth, while
the variations relative to the water depth in the relatively deep
primary channels are insignificant. Analysis for two cold fronts from
the northwest and further numerical experiments revealed that the water
level variation response to the non-linear interaction between the cold
front storm surge and tides is predominantly influenced by the intensity
of the cold front and the magnitude of the tidal range. This study
emphasizes the notable impact of the non-linear interaction between cold
front and tide on water level variation, which, in turn, influences
inundation extent, sediment transport, and ecological factors in the
WLD.
AGU 2023, H51N-1280, San Francisco
Link: https://agu.confex.com/agu/fm23/meetingapp.cgi/Paper/1293693
Harmonisasi Keluarga Dan Adopsi Nilai Moderasi Beragama Dalam Upaya Pencegahan Keluarga Non-Harmoni
Authors: Hilal Fatmawati 
Published: February 2024

Keluarga sebagai institusi terkecil dalam masyarakat merupakan tumpuan utama mewujudkan keluarga harmonis yang sleanjutnya menjadi cikal bakal lahirnya negara yang aman, damai dan tenteram. Keluarga yang harmonis adalah cita-cita dan harapan setiap keluarga. Tulisan ini memaparkan pentingnya harmonisasi keluarga dengan mengadopsi nilai-nilai moderasi beragama sebagai upaya mencegah lahirnya keluarga non harmoni. Tulisan ini menggunakan metode penelitian kualitatif dengan pendekatan syar’i. Hasilnya ditemukan bahwa konsep moderasi beragama, seperti tawassuth (mengambil jalan tengah), tawazun (berkeseimbangan), I’tidal (lurus dan tegas), tasamuh (toleransi), musawah (egaliter), syuira (musyawarah), Ishlah (reformasi), aulawiyah (mendahulukan yang prioritas), dan tathawwur wal ibtikar (dinamis dan inovatif). Nilai-nilai moderasi beragama ini jika diinternalisasi dan diadopsi dalam kehidupan keluarga, maka akan memudahkan terwujudnya keluarga harmonis. Nilai-nilai moderasi beragama melahirkan konsep kesalingan (mubadalah) dalam keluarga. Tidak Memaksakan Kehendak, saling menghargai hak, menjunjung prinsip saling melengkapi, musyawarah dalam mengambil keputusan adalah nilai-nilai moderasi yang akan memudahkan terciptanya keluarga yang harmonis. Internalisasi dan adopsi nilai moderasi beragama dalam keluarga dapat membangun fondasi yang kuat, menciptakan lingkungan yang harmonis, dan mencegah terjadinya kasus keluarga non harmoni (broken home) yang berpotensi merusak kehidupan keluarga dan masyarakat secara keseluruhan.
Kata Kunci : Harmonisasi, Keluarga, Moderasi Beragama
The Functions and Objectives of Islamic Law and Their Correlation with Community Development
Authors: Iqbal Muhammad 
Published: February 2024

Fungsi dan tujuan hukum Islam sering disebut dalam ushul fiqih dengan istilah maqashid al-syariah sebagai upaya untuk kesejahteraan masyarakat dan mewujudkan kemaslahatan kepada manusia. Kajian ini menggunakan pendekatan kualitatif dalam menganalisa, menjelaskan, menguraikan dan mengungkap hasil penelitian. Teknik pengumpulan data yang digunakan adalah studi kepustakaan (library research). Penelitian ini bertujuan untuk menelusuri fungsi dan tujuan hukum Islam terhadap pembinaan kehidupan masyarakat sehari-hari, minimal mengetahui tujuan pembuat hukum (Tuhan) mensyariatkan hukum Islam kepada masyarakat sebagai pelaksana hukum tersebut. Penelitian ini menemukan bahwa dalam tujuan hukum Islam dibagi menjadi tigatingkatan yaitu dharuriyyat, hajjiyat dan tahsiniyyat. Tujuan hukum Islam tersebut dari segi kemaslahatan pada dasarnya dibagi menjadi 2 yaitu dharuriyyat dan ghairu dharuriyyat. Kemaslahatan pokok ini sering dikenal dengan istilah kulliyat al- khams(lima pokok/inti) yaitu perlindungan terhadap agama, perlindungan terhadap nyawa, perlindungan terhadap akal, perlindungan terhadap keturunan dan perlindungan terhadap harta. Lima pokok/inti tersebut mengarah kepada kemaslahatan manusia di dunia maupun di akhirat kelak.
Kata Kunci : Tujuan Hukum, Fungsi Hukum, Maqashid al-Syariah, Pembinaan Masyarakat
Membentuk Keluarga Islami untuk Menghadapi Tantangan Zaman Perspektif Syafiq Riza Hasan Basalamah
Authors: Hikmah Widiatun Nisa  , Irsan  
Published: February 2024

Keluarga dipahami sebagai kelompok primer yang terdiri dari dua atau lebih orang yang mempunyai jaringan interaksi interpersonal, hubungan darah, hubungan perkawinan, dan adopsi. Salah satu kewajiban penting seorang pemimpin keluarga dalam sudut pandang Islam adalah membentengi anggota keluarganya dengan membentuk keluarga Islami agar terhindar dari kemaksiatan, apalagi seiring berkembangnya zaman kemaksiatan pun semakin merajalela. Masalah yang akan dibahas dalam penelitian ini adalah apa definisi keluarga Islami, bagaiamana langkah-langkah membentuk keluarga Islami untuk menghadapi tantangan zaman, dan apa saja tujuan dari membentuk keluarga Islami. Masalah-masalah diatas akan dijawab melalui perspektif Syafiq Riza Hasan Basalamah, yang mana ia merupakan salah satu tokoh Islam di Indonesia. Tujuan penelitian ini adalah mengetahui definisi keluarga Islami perspektif Syafiq Riza Hasan Basalamah, mengetahui dan menemukan langkah dan tujuan membentuk keluarga Islami untuk menghadapi tantangan zaman perspektif Syafiq Riza Hasan Basalamah. Pendekatan penelitian ini menggunakan pendekat deksriptif kualitatif. Hasil dari penelitian ini menunjukkan bahwa: Syafiq Riza Hasan Basalamah menyebutkan bahwa definisi keluarga Islami adalah keluarga yang selalu mengabdi kepada Allah subhaanahu wata’aala. Terdapat empat langkah dalam membentuk keluarga Islami yang dijelaskan Syafiq Riza Hasan Basalamah dalam vidionya. Dan ada tiga tujuan dari membentuk keluarga Islami yang disebutkan oleh Syafiq Riza Hasan Basalamah dalam vidionya.
Research on Intelligent Curriculum Teaching for Art and Design Majors in Colleges and Universities in the Information Age
Authors: Wang Dong 
Published: February 2024

Abstract
The construction of smart classroom is an important symbol of the reform of education informatization, and its application can strengthen and enhance the construction of professional disciplines. The construction of a smart teaching model is done in collaboration with art parametric design and aesthetic assessment of art design works in this paper. The visual salient network at the pixel level of the art design is calculated by segmenting salient objects using the original BASNet model. The diffusion equation is used to calculate the visual position probability map, the probability of the corresponding position is calculated based on the layout of the visual elements, and the optimal layout of the visual elements is generated by the candidate region generation algorithm. By creating an aesthetic evaluation module, the image’s global aesthetic information is modeled, and a mapping relationship is established between the learning image and the aesthetic rating. Finally, an empirical analysis of the smart teaching mode is conducted to investigate the impact of this teaching method on students’ learning efficiency and creative ability. The results show that the comprehensive rating of 100 artworks created under the wisdom teaching mode is 3.09, which is greater than 3. The model is found to be significantly helpful for college art majors, as indicated. College art design teachers can use the research in this paper to develop more effective individualized teaching programs through effective strategic guidance.
Research on the Integration of College Dance Curriculum and College Students’ Mental Health Education in the Perspective of New Media
Authors: Wang Lina 
Published: February 2024

Abstract
In this paper, a Logistic regression model is established for the integration of dance and mental health in colleges and universities, and a decision tree is selected as the analysis algorithm. To further improve the model effect of the Logistic regression model, Logistic regression is combined with Noisy-or model to establish a fusion model based on LRANO model, which realizes the improvement of the model accuracy and the adaptation to the changing data. Finally, we set up a comparison experiment with or without college dance course study to explore the integration of college dance courses and college students’ mental health education with the help of the fusion model. After 12 weeks of dance course study, the six body shape indicators such as weight, thigh circumference, and body fat percentage of the subject college students changed with significant differences (P<0.05). Improvement was seen in all physical fitness indicators, including sit-ups with a 58.6% increase. Among the 15 positive psychological quality factors of the subject college students, there was a significant increase in the cooperativeness, faith, and hope factors from 3.26 and 3.5 to 4.02 and 3.95.
Research on the Improvement Path of New Rural Cooperative Financial Legal System Based on Decision Tree Modeling
Authors: Xu Hesheng 
Published: February 2024

Abstract
The improvement of a new rural financial legal system can protect the legitimate rights and interests of rural farmers. In this paper, after preprocessing the text of the legal system, the Word2vec word vector model is used to represent the legal text features, select the legal text features using information gain, extract the legal text features based on the LDA topic model, and complete the construction of the legal text feature engineering. On this basis, the random forest algorithm based on the decision tree is improved by text similarity, and the text classifier is constructed to realize the mining of legal text content. After verifying the performance of legal system text mining, the relevant high-frequency words of the legal system are extracted to explore the path of improving the legal system of new rural cooperative finance. The results show that among the 18 high-frequency words extracted, finance (298 times), report (242 times), management (221 times), and statistics (221 times), all of them are more than 200 times, focusing on the financial development as the top priority for the improvement of the legal system of new rural cooperative finance. Based on the research of this paper, it is important and positive significance to improve the legal system of new rural cooperative finance, which is the key to realizing rural revitalization.
A Study of Innovative Entrepreneurial Behavior of College Students under Algorithmic Recommendation
Authors: Xu Jin , Zhao Shuang , Gu Yongxian 
Published: February 2024

Abstract
In this paper, for a large amount of text content such as college students’ innovation and entrepreneurship education practice, considering the problem of directionality, based on the idea of a recommendation algorithm, we use word similarity and TextRank algorithm to extract the keywords of innovation and entrepreneurship behaviors as the first-knowledge labels of the textual resources, and introduce complex labeling network based on this. On the premise of semantic-based TextRank keywords and tag network, the fusion-gated graph attention group recommendation algorithm is used to construct college students’ innovation and entrepreneurship practice platform, and the simulation analysis of college students’ innovation and entrepreneurship practice platform is carried out. The results show that the survival rate of virtual startups can be calculated as 5.37% by using the college students’ innovation and entrepreneurship practice platform, which can accurately analyze that college students’ innovation and entrepreneurship behaviors are stronger, but the survival rate of the enterprises founded by college students for the first time needs to be improved. This study can provide theoretical knowledge guidance for the study of college students’ innovative entrepreneurial behavior and has a facilitating effect on the development of innovation and entrepreneurship education in colleges and universities.
Practical Teaching of Music Curriculum in Colleges and Universities Based on Multiple Intelligences Theory
Authors: Sun Tao 
Published: February 2024

Abstract
Traditional piano teaching usually focuses on students’ mastery of music skills and music theory, but neglects the cultivation of students’ musical expression and creativity. In this paper, the multiple intelligence theory is used as the guiding theory, and the multiple hybrid teaching model of the piano course is established by combining the flipped classroom. The Fuzzy-CDF model is introduced to quantify students’ piano music cognitive level, the Apriori algorithm is used to generate piano music knowledge point sequences, and multiple algorithms are used to collaborate on personalized recommendations of piano music knowledge resources for students. For the application effect of the piano music multivariate hybrid teaching model established in this paper, a teaching experiment was conducted to analyze it with H Music Academy as an example. The results show that the combined ability of song arrangement and playing and singing of the experimental class improved by 9.74 and 11.10 points respectively compared with the performance of the control class, and the average value of the difference between the pre-and post-tests of the experimental class’s note recognition ability compared with that of the control class reached 5.8 points. The application of Multiple Intelligences Theory can stimulate the individual’s sensitivity to timbre, pitch, and meter, fully enhance students’ musical expression and creativity, and make piano learning more effective.
Path analysis of digitally empowered mental health services for university students
Authors: Deng Caiyan , Liu Meiling 
Published: February 2024

Abstract
We investigate the viability of using data mining technologies to identify college students’ mental health issues in light of the rising number of these issues. To address the limitations of the traditional Apriori algorithm in data mining of mental health problems, an improved Apriori algorithm is proposed using the classification rule mining method. The relationship between various factors and the mental health problems of college students is better explored by this algorithm. Ultimately, the mental health care pathway that was developed during the exploration was used to conduct a comparative trial between those who received mental health services and those who did not. The experimental group’s mean score in the hyperactive concentration inability dimension was 3.25 after getting mental health care for three weeks, which was 22.6% higher than the control group’s mean score. The aspects of emotional symptoms, pro-social conduct, and total difficulty score also showed significant variations (p<0.05). The mean scores of the experimental group in the pro-social behavior and emotional symptoms dimension in the course of the study and the pre-experiment were 2.17 and 0.57, accordingly, which both demonstrated highly significant differences (p<0.01) in the between-group comparison of the differences in scores at different evaluation times with the control group.
Exploration of The Teaching and Learning Model Using the Design Thinking Method in Developing Community-Based Tourism
Authors: Indrianto Agoes Tinus Lis , Oktavio Adrie , Azmi Azila , Abdullah Azrul , Isa Norshamshina Mat , Adityaji Rizki , Cahyana Subadi Lucky 
Published: February 2024

Objective: The COVID-19 pandemic has had a significant impact on the tourism industry, leading to a shift towards community-based tourism. Therefore, new reality, innovative and effective teaching and learning models are needed for the communities. This study investigates the utilization of the Design Thinking method in the development of community-based tourism as a teaching and learning model following the COVID-19 pandemic.

Theoretical framework: Literature in this study was based on design thinking method and its application on education and tourism.

Method: Data were collected using in-depth interview and observation. 10 informants were approached and involved during the interview consisting of 6 students majoring in tourism management and 4 tourism stakeholders who had participated actively in community development.

Results and conclusion: Overall, this study found that the design thinking method has proven to be an effective tool for solving complex problems and creating innovative solutions, and that its application in teaching and learning models for community-based tourism can help students develop critical thinking and problem-solving skills, encourage creative thinking, and foster a collaborative learning environment.

Research implications: Design thinking method can help students develop important life skills such as teamwork, communication, and leadership, which are essential for success in both academic and professional settings.

Originality/value: Innovative and original solutions for tourism services are fostered by the application of design thinking.