bluuebunny/crossref_metadata_2025_split huggingface dataset:
Distinctive neural substrates of low and high risky decision making: Evidence from the Balloon Analog Risk Task
Authors: Jin Zhenlan , Li Simeng , Wang Changan , Chai Xiaoqian , Zhang Junjun , Li Ling 
Published: February 2024

Abstract

Human beings exhibit varying risk-taking behaviors in response to different risk levels. Despite numerous studies on risk-taking in decision-making, the neural mechanisms of decision-making regarding risk levels remains unclear. To investigate the neural correlates of individual differences in risk-taking under different risk-levels, we analyzed behavioral data of the Balloon Analogue Risk Task (BART) and resting-state functional Magnetic Resonance Imaging (rs-fMRI) data of healthy participants (22–39 years, N = 93) from the University of California, Los Angeles Consortium for Neuropsychiatric Phenomics dataset. In the BART, the participants decided to pump for more points or stop pumping to avoid explosion of the balloons, where the risk level was manipulated by the explosion likelihood which was distinguished by the balloon color (blue for low-, red for high- risk condition). Compared with low-risk condition, the participants pumped less number, exploded more balloons, and showed more variability in pump numbers in high-risk condition, demonstrating the effective manipulation of the risky level. Next, resting state features and functional connectivity (rsFC) strength were associated with behavioral measures in low- and high-risk conditions. We found that the explosion number of balloons were correlated with the low frequency fluctuations (ALFF) in the left dorsolateral prefrontal cortex (L. DLPFC), the rsFC strength between L. DLPFC and the left anterior orbital gyrus in the low-risk condition. In the high-risk condition, we found variability in pump numbers was correlated with the ALFF in the left middle/superior frontal gyrus, the fractional ALFF (fALFF) in the medial segment of precentral gyrus (M. PrG), and the rsFC strength between the M. PrG and bilateral precentral gyrus. Our results highlighted significance of the L. DLPFC in lower risky decision making and the precentral gyrus in higher risky decision making, suggesting that distinctive neural correlates underlie the individual differences of decision-making under different risk level.
Normal Deviation of Synchronization for Stochastic Coupled Systems With Multiplicative Noise
Authors: ZHAO MEILING 
Published: February 2024

Abstract

In this paper, we study normal deviation, an estimate of fluctuations between a coupled system and its averaged system, of synchronization by a stochastic coupled system with multiplicative noise. We first establish the equivalence relation to transform the coupled system into a multi-scale system. And then we obtain the normal deviation of the multi-scale system with a fixed initial value by using the martingale approach.
AMS Mathematics Subject Classification (2010): 60F05
Sentiment Analysis in Times of Crisis: Evaluating SVM, CNN-LSTM, and Psyntimiento
Authors: Rateb Muhammad Nabil , Alansary Sameh , Elzouka Marwa Khamis , Galal Mohamad 
Published: February 2024

Abstract
Sentiment analysis is a powerful tool for extracting valuable insights from social media data. In this paper, more than one million tweets spanning three months (March, June, and December 2022) regarding three cryptocurrencies: Bitcoin (BTC), Ethereum (ETH), and Binance Coin (BNB) during the Russian-Ukrainian War are considered. Two models, a convolutional neural network with long short-term memory (CNN-LSTM) and a support vector machine (SVM) with GloVe and TF-IDF features, are trained on a labeled dataset of more than fifty thousand tweets about Bitcoin labeled as (positive, negative, and neutral). A pretrained model (Pysentimento) for sentiment analysis is also employed to compare the performances of the three models. The models are tested on the labeled dataset and then evaluated on the unlabeled tweets, revealing that Pysentimento's level of accuracy outperforms the other two models. Google Trends, along with the opening and closing prices, and the volume of the three cryptocurrencies, in addition to the results of Pysentimento sentiment classification, are employed to apply the Pearson correlation coefficient and conduct price prediction analysis using the SARIMA model. It is found that Bitcoin may appeal to those seeking stability and a known record of accomplishment, while Binance Coin and Ethereum may attract investors looking for more diverse opportunities. Sentiment analysis using machine learning is found to provide invaluable information for cryptocurrency price forecasting and trading strategies, especially in the context of geopolitical events and market volatility.
Differential trial-type effects in an Implicit Relational Assessment Procedure: Extending the DAARRE model
Authors: de Almeida Rodrigo , Barnes-Holmes Dermot , Leslie Julian C. 
Published: February 2024

Abstract

The differential arbitrarily applicable relational responding effects (DAARRE) model predicts two effects on the Implicit Relational Assessment Procedure (IRAP): the single trial-type dominance effect (STTDE) and the dissonant-target trial-type effect (DTTTE). We sought to explore variables that modulate these effects. Forty-two participants completed an IRAP, meeting the practice criteria (median latency ≤ 2000ms and accuracy ≥ 80% correct) and thus proceeding to six test blocks. The IRAP had four trial-types: trial-type 1: happy-face—happy-word; trial-type 2: happy-face—fear-word; trial-type 3: fear-face—happy-word; trial-type 4: fear-face—fear-word. Participants were randomly assigned to start with a consistent (respond True, False, False, True, respectively, to the four trial-types) or inconsistent (opposite responding) block. Difference (DIRAP) scores were calculated (inconsistent minus consistent latencies). A significantly larger DIRAP score was observed in trial-type 2 relative to trial-type 3 (a DTTTE), but only for participants who started with the inconsistent block. A “happiness superiority” STTDE (i.e., larger DIRAP score on trial-type 1 relative to trial-type 4) was observed, but only for participants who failed to maintain the criteria at the trial-type level (in any of the trial-types). Overall, the findings highlight the importance of distinguishing between the functional versus relational properties of the stimuli presented within an IRAP. The modulation of the DTTTE is interpreted in terms of functional coherence between the target and response option in inconsistent blocks. A novel data-analytic algorithm is presented to identify performance criteria violations at the trial-type level. The findings suggest that a greater focus is required in Relational Frame Theory on the impact of the functional properties of stimuli on relational framing.
Assessment of Nutrients, Antinutrients and In Vitro Antioxidants Studies of Whole Leaf, and Leaf Extract of Azanza garckeana
Authors: Felix Joshua Ogah , Nkwocha Chinelo Chinenye , Oruchukwu Michael Lomi 
Published: February 2024

Abstract
Plants-derived functional foods have been a significant source of nutrients and medicinal compounds. The purpose of this study was to evaluate the nutritional values, antinutrients compositions, and in vitro antioxidants activities of methanolic leaf extract of Azanza garckeana. The analysis were carried out using standard analytical methods. Results of the proximate compositions were carbohydrates (69.18 %), protein (10.51 %), fats (7.33 %), fibres (5.27 %), moisture (4.38 %), and ash (3.57 %). The total energy value was 384.7 kcal/g. The vitamins analysis showed the presence of vitamin A (1.876±0.060 mg/100g), C (0.050±0.012 mg/100g), E (0.606±0.009 mg/100g), D (0.197±0.076 mg/100g), K (0.164±0.012 mg/100g), B1 (0.739±0.019 mg/100g), B2 (0.37±0.005 mg/100g), B3 (0.155±0.033 mg/100g), B6 (0.446±0.022 mg/100g) and vitamin B12 (0.157± 0.0026 mg/100g). The mineral compositions revealed the presence of sodium (815.287 ± 0.004 mg/100g), calcium (731.515 ± 0.003 mg/100g) and copper (1.048 ± 0.008 mg/100g). Antinutrients composition revealed phytate (1.567 ± 0.005 mg/100g), trypsin inhibitor (0.383±0.006 Tiu/mg), oxalate (0.867 ± 0.003 mg/100g), hemaglutinin (0.741 ± 0.004 Hui/mg), and saponins (0.546 ± 0.004 mg/100g). The antioxidants activity of the methanolic crude extract of A. garckeana leaf showed that the total antioxidants capacity (TAC) of the plant extract increased in concentration when compared to the standard antioxidant (ascorbic acid). While the methanolic leaf extract exhibited higher FRAP activity across all the concentrations when compared with the standard antioxidant - butylated hydroxytoluene (BHT). The results of the present study showed that the evaluated leaves of A. garckeana plant is rich in nutritional values, have potent antioxidants and essential nutrients with therapeutics properties.
Stem Cutting Propagation and Micropropagation of Northern Bayberry
Authors: Edgett Jackie D. , Lubell-Brand Jessica D. , Brand Mark H. 
Published: February 2024

Northern bayberry [Morella (formerly Myrica) pensylvanica] is an attractive, adaptable, semievergreen, northeastern North American native shrub that is sought for landscaping but difficult to propagate clonally. The impact of timing (June, July, or August) and concentration of indole-3-butyric acid [IBA (0, 2000, 4000 or 8000 ppm)] on propagation by stem cuttings was evaluated for genotypes of northern bayberry including the female cultivars Bobzam (Bobbee™) and UConn Compact and an unnamed male. Medium formulation and cytokinin type were evaluated for micropropagation of ‘Bobzam’ and ‘UConn Compact’. Stem cuttings of ‘Bobzam’ and ‘UConn Compact’ rooted poorly (at ≤55% and ≤20%, respectively) at all timings and concentrations of IBA; however, rooting success of ≥85% was achieved for the unnamed male genotype when cuttings were taken in June. Micropropagation of ‘Bobzam’ was successful using Woody Plant medium with 4 mg·L−1 zeatin and explants taken from shoots that had expanded 12 to 18 cm on containerized stock plants. Initiated explants of ‘Bobzam’ required eight subcultures before they began to produce shoots consistently at a 2× multiplication rate and eventually reached a 3× multiplication rate. Micropropagation attempts using Murashige and Skoog medium, the cytokinins 6-benzylaminopurine, meta-topolin, and thidiazuron, or the cultivar ‘UConn Compact’ were unsuccessful. Microshoots of ‘Bobzam’ rooted at ≥80% either by in vitro prerooting or ex vitro rooting directly in trays. Rooted microcuttings easily acclimated to greenhouse conditions and grew rapidly when potted to 1.04-L containers and then into 5.68-L containers. The micropropagation protocol developed for ‘Bobzam’ can be used by propagators to expand production of this popular female cultivar.
Effects of Telemedicine on Informal Caregivers of Patients in Palliative Care: Systematic Review and Meta-Analysis
Authors: Yang Xiaoyu , Li Xueting , Jiang Shanshan , Yu Xinying 
Published: February 2024

Abstract

Background
Telemedicine technology is a rapidly developing field that shows immense potential for improving medical services. In palliative care, informal caregivers assume the primary responsibility in patient care and often face challenges such as increased physical and mental stress and declining health. In such cases, telemedicine interventions can provide support and improve their health outcomes. However, research findings regarding the use of telemedicine among informal caregivers are controversial, and the efficacy of telemedicine remains unclear.

Objective
This study aimed to evaluate the impacts of telemedicine on the burden, anxiety, depression, and quality of life of informal caregivers of patients in palliative care.

Methods
A systematic literature search was conducted using the PubMed, Embase, Web of Science, CENTRAL, PsycINFO, CINAHL Plus with Full Text, CBM, CNKI, WanFang, and VIP databases to identify relevant randomized controlled trials published from inception to March 2023. Two authors independently screened the studies and extracted the relevant information. The methodological quality of the included studies was assessed using the Cochrane risk-of-bias tool. Intervention effects were estimated and sensitivity analysis was conducted using Review Manager 5.4, whereas 95% prediction intervals (PIs) were calculated using R (version 4.3.2) and RStudio.

Results
A total of 9 randomized controlled trials were included in this study. The meta-analysis indicated that telemedicine has reduced the caregiving burden (standardized mean differences [SMD] −0.49, 95% CI −0.72 to −0.27; P<.001; 95% PI −0.86 to −0.13) and anxiety (SMD −0.23, 95% CI −0.40 to −0.06; P=.009; 95% PI −0.98 to 0.39) of informal caregivers; however, it did not affect depression (SMD −0.21, 95% CI −0.47 to 0.05; P=.11; 95% PI −0.94 to 0.51) or quality of life (SMD 0.35, 95% CI −0.20 to 0.89; P=.21; 95% PI −2.15 to 2.85).

Conclusions
Although telemedicine can alleviate the caregiving burden and anxiety of informal caregivers, it does not significantly reduce depression or improve their quality of life. Further high-quality, large-sample studies are needed to validate the effects of telemedicine. Furthermore, personalized intervention programs based on theoretical foundations are required to support caregivers.
Анализ методов идентификации и ранжирование рисков на жизненном цикле АЭС
Authors: Альшрайдех Мохаммад , Енговатов И. А. , Морозенко А. А. 
Published: February 2024

Введение. На всех стадиях жизненного цикла атомных электростанций («Размещение», «Проектирование», «Сооружение», «Эксплуатация» и «Вывод из эксплуатации»), существует большое количество различных рисков, влияющих на безопасность, сроки и стоимость работ при их реализации. Для проектов атомных электростанций (АЭС) на стадиях жизненного цикла существует множество неопределенностей, которые трансформируются в проектные риски, такие как технологические, финансовые, а также риски, связанные с циклом радиоактивных отходов и другие. Управление рисками необходимо для успешной реализации проектов атомных электростанций.Материалы и методы. Приводится анализ рисков на жизненном цикле АЭС несколькими методами: матрица оценки рисков и метод Парето. Идентификация и оценка рисков выполнены методом экспертной оценки и с использованием научной литературы.Результаты. По результатам проведенного анализа выявлены и описаны преимущества и недостатки методов многокритериального анализа применительно к объектам АЭС. Для более глубокого анализа рисков на основе данных, полученных в результате экспертной оценки, предложен метод распределения взвешенности риска по факторам, а также представлены графические изображения анализа влияния выявленных рисков по стадиям жизненного цикла АЭС.Выводы. Основная цель управления рисками состоит в снижении базовых показателей, таких как стоимость, сроки и долговечность при безусловном обеспечении безопасности на всех стадиях жизненного цикла.
Covid-19 air travel: do intervention measures influence intent?
Authors: Montalbo Kyle Calapre 
Published: February 2024

Similar to the 9/11 terrorist attacks in 2002, safety measures in air travel are placed to combat the spread of COVID-19. With developing countries, like the Philippines, lagging behind post-pandemic aviation recovery, just how influential are these intervention measures in bringing back travellers to the skies? This research measured the passengers’ intent to return to air travel and analyzed the respondents’ assessment of the implementation of safety measures in air travel during the COVID-19 pandemic. The correlation of both variables was explored using Pearson Correlation Coefficient. The data were from a self-administered survey questionnaire disseminated to air travellers to and from Mactan Cebu International Airport (MCIA), Philippines during the COVID-19 pandemic. The results show that the safety protocols were far from being exceptionally implemented. The study further revealed the respondents’ uncertainty on returning to air travel due to the COVID-19 crisis regardless of the safety measures in place. Even with the high uncertainty, however, the respondents’ assessment of the implementation of protocols was found to be highly associated with the respondents’ intention to return to air travel. The pre-departure safety protocols had the highest association compared to in-flight and arrival protocols.
Perinatal Outcomes in Early and Late Gestational Diabetes Mellitus After Treatment From 24–28 Weeks’ Gestation: A TOBOGM Secondary Analysis
Authors: Simmons David , Immanuel Jincy , Hague William M. , Teede Helena , Nolan Christopher J. , Peek Michael J. , Flack Jeff R. , McLean Mark , Wong Vincent , Hibbert Emily J. , Kautzky-Willer Alexandra , Harreiter Jürgen , Backman Helena , Gianatti Emily , Sweeting Arianne , Mohan Viswanathan , Cheung N. Wah ,   TOBOGM Research Group, Simmons David , Cheung N. Wah , Immanuel Jincy , Hague William M. , Teede Helena , Nolan Christopher J. , Peek Michael J. , Flack Jeff R. , McLean Mark , Wong Vincent , Hibbert Emily , Gianatti Emily , Sweeting Arianne , Coat Suzette , Dalal Raiyomand , Soldatos Georgia , Padmanabhan Suja , Rajagopal Rohit , Rudland Victoria , Harreiter Jürgen , Kautzky-Willer Alexandra , Kiss Herbert , Backman Helena , Schwarcz Erik , Ross Glynis , Mohan Viswanathan , Mohan Anjana Ranjit , Ram Uma 
Published: February 2024

OBJECTIVE
In most gestational diabetes mellitus (GDM) studies, cohorts have included women combined into study populations without regard to whether hyperglycemia was present earlier in pregnancy. In this study we sought to compare perinatal outcomes between groups: women with early GDM (EGDM group: diagnosis before 20 weeks’ gestation but no treatment until 24–28 weeks’ gestation if GDM still present), with late GDM (LGDM group: present only at 24–28 weeks’ gestation), and with normoglycemia at 24–28 weeks’ gestation (control participants).

RESEARCH DESIGN AND METHODS
This is a secondary analysis of a randomized controlled treatment trial where we studied, among women with risk factors, early (&lt;20 weeks’ gestation) GDM defined according to World Health Organization 2013 criteria. Those receiving early treatment for GDM treatment were excluded. GDM was treated if present at 24–28 weeks’ gestation. The primary outcome was a composite of birth before 37 weeks’ gestation, birth weight ≥4,500 g, birth trauma, neonatal respiratory distress, phototherapy, stillbirth/neonatal death, and shoulder dystocia. Comparisons included adjustment for age, ethnicity, BMI, site, smoking, primigravity, and education.

RESULTS
Women with EGDM (n = 254) and LGDM (n = 467) had shorter pregnancy duration than control participants (n = 2,339). BMI was lowest with LGDM. The composite was increased with EGDM (odds ratio [OR] 1.59, 95% CI 1.18–2.12) but not LGDM (OR 1.19, 95% CI 0.94–1.50). Induction of labor was higher in both GDM groups. In comparisons with control participants there were higher birth centile, higher preterm birth rate, and higher rate of neonatal jaundice for the EGDM group (but not the LGDM group). The greatest need for insulin and/or metformin was with EGDM.

CONCLUSIONS
Adverse perinatal outcomes were increased with EGDM despite treatment from 24–28 weeks’ gestation, suggesting the need to initiate treatment early, and more aggressively, to reduce the effects of exposure to the more severe maternal hyperglycemia from early pregnancy.
Hubungan Bernyanyi Gaya Dendang Terhadap Popularitas Lagu “Bayang-Bayang Rindu” Ciptaan Edi Elmitos
Authors: Azhari Lubis Anggi , Sudarman Yos 
Published: February 2024

This research aims to determine the relationship between singing in the singing style and the popularity of the song "Bayang-Bayang Rindu" created by Edi Elmitos. This type of research is descriptive quantitative research. The population in this study were Padang State University Sendratasik students who took Vocal and Dandrum courses with the research instrument in the form of a questionnaire. Data collection techniques were carried out by distributing questionnaires and taking questionnaires. The data analysis technique is carried out using a percentage formula. The research results show that the relationship between the song and the creator's background is 37.68%, the relationship between the song and the vocalist is 39.56%, the relationship between the song being sung differently by Rayola and its predecessor singer (Anroys) is 39.51%, the relationship between the song and the singing style sung by Rayola 41.09%, there is a match between the lyrics and the way the vocalist expresses the song 39.07%, the relationship between the song and the strategy of popularizing the song through social media Youtube 40.61%. Tujuan penelitian ini adalah untuk mengetahui hubungan bernyanyi gaya dendang terhadap popularitas lagu “Bayang-Bayang Rindu” ciptaan Edi Elmitos. Jenis penelitian ini adalah penelitian kuantitatif deskriptif. Populasi di dalam penelitian ini adalah mahasiswa Sendratasik Universitas Negeri Padang yang mengambil mata kuliah Vocal dan Dendang dengan instrumen penelitian ini berupa angket (kuesioner). Teknik pengumpulan data dilakukan dengan cara penyebaran angket (kuesioner) dan pengambilan angket. Teknik analisis data dilakukan menggunakan rumus persentase. Hasil penelitian menunjukan bahwa hubungan lagu dengan latar belakang pencipta 37,68%, hubungan lagu dengan vocalist 39,56%, hubungan lagu dinyanyikan secara berbeda oleh Rayola dengan penyanyi pendahulunya (Anroys) 39,51%, hubungan lagu dengan gaya dendang yang dinyanyikan Rayola 41,09%, adanya kesesuaian antara lirik dengan cara mengekspresikan lagu oleh vocalist 39,07%, hubungan lagu dengan strategi mempopulerkan lagu melalui media social Youtube 40,61%.
Meningkatkan Hasil Belajar Tari Melalui Metode Tutor Sebaya bagi Kelas VIII MTsN 11 Agam
Authors: Hanifa Radhia 
Published: February 2024

This study aims to explain and describe how to improve student dance learning outcomes using the peer tutor method in class VIII MTsN 11 Agam. This type of research carried out is class action research (PTK) which is carried out in 2 cycles. The subjects of the research were students of class VIIIF MTsN 11 Agam totaling 23 people. The data collection techniques used are observation and documentation. The results of this study show that dance learning using the peer tutor method is successful in improving the learning outcomes of class VIIIF MTsN 11 Agam students. It can be proven that before using the peer tutor method, the average score of students in the first cycle under KKM, which is 74.78 with KKM 78. Meanwhile, in cycle II, student learning outcomes with the peer tutor method increased by an average of 82.39. So it can be concluded that the application of learning through this peer tutor method can improve the learning outcomes of MTsN 11 agam students.