bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is integrating video into tech-based patient education effective for improving medication adherence? – A review
Authors: Ghozali Muhammad Thesa 
Published: April 2023

Abstract
Patient education is a crucial part of the efforts to improve the level of medication adherence. Successful diabetes self-management will be achieved if health practitioners (doctors, pharmacists, nurses, and other health-related professionals) provide education to their patients. One of the multimedia platforms that are now popular in patient education and health promotion is video. This study primarily aimed to review published research examining integration of video-based digital interventions into tech-based patient education methods to promote medication adherence in diabetic patients. All of the articles presented in this review were collected from the PubMed, Science Direct, and Sage Publication databases. This review compared study samples, intervention characteristics (length of intervention and learning media), and adherence outcomes, as well as additional outcomes across the studies. Of the 304 articles reviewed, seven studies that met the criteria were found and included in the review. Overall, 57.14% of the integrated video-based interventions demonstrated improved medication adherence and 42.86% demonstrated improvement in other related health outcomes. The interventions were 7 weeks to 6 months in length and were in the form of storytelling with videos, smartphone apps, educational programs, or web-based education. It can be concluded that video-based digital interventions aimed to improve medication adherence in diabetic patients are promising. For optimum outcomes, this study highly suggests that a combination of video (synchronous and asynchronous) and a good patient education program is an ideal form of intervention for patients with type 2 diabetes. Regarding the education platform, the intervention could be humanoid robots, storytelling, mobile health (mHealth) apps, websites, robot-enhanced diabetes care, and other related tech-based programs or even conventional models.
ANALISIS PERFORMA MESIN MOBIL NISSAN GRAND LIVINA 1500 CC BERBAHAN BAKAR CAMPURAN PERTALITE DENGAN ETANOL DAN PERTAMAX
Authors: S Bhramantya Panji , Saputro Danang Dwi , Widjanarko Dwi 
Published: April 2023

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh variasi campuran etanol pada bahan bakar pertalite terhadap unjuk kerja dan emisi gas buang yang dihasilkanmesin mobil Nissan Grand Livina 1500 cc. Variasi perbandingan persentase etanol adalah 10%, 15%, 20%, dan 25% pada 1 liter bahan bakar pertalite dibandingkan dengan pertamaxmurni. Variasi putaran mesin untuk pengujian performa mesin yaitu 2000, 3000, 4000 dan 5000 rpm. Metode penelitian yang digunakan adalah eksperimen. Pengujian unjuk kerja mesin bensin menggunakan dynamometer. Data hasil penelitian dianalisis dengan cara menganalisis hasil data eksperimen kemudian menentukan dan menyimpulkan hasilpenelitian yang telah dilakukan dalam bentuk grafik dan tabel. Dua hal yang diamati dalam penelitian ini adalah pengaruh variasi campuran etanol pada bahan bakar pertalite terhadap unjuk kerja dan emisi gas buang yang dihasilkan. Hasil penelitian menunjukkan bahwa unjuk kerja yang dihasilkan mengalami kenaikan pada sampel P1-E10% dan P1-E15% namun pada sampel P1-E20% dan P1-E25% mengalami penurunan. Campuran etanol yang tepat pada penambahan bahan bakar pertalite akan berdampak pada performa mesin berupa torsi dan daya yang optimal bahkan lebih baik daripada penggunaan bahan pertamax murni. Campuran bahan bakar pertalite dan etanol sebesar 15 % dengan label P1-E15%menghasilkan daya dan torsi yang paling optimal dibandingkan campuran lainnya termasuk pertamax murni. Emisi gas CO2 rata-rata mengalami peningkatan dibanding denganmenggunakan bahan bakar pertamax murni, campuran terbaik pada sampel P1-E10%. Sedangkan Emisi gas CO cenderung mengalami penurunan seiring dengan penambahancampuran etanol. Kandungan gas CO terbaik pada sampel P2 dengan nilai oktan 92, campuran terbaik pada sampel P1-10% tetapi gas CO yang terkandung masih di bawah sampel P2.Campuran sampel P1-E15% memiliki daya dan torsi paling optimal, tetapi bukan yang terbaik pada emisi gas buang, namun emisi gas buang yang keluar masih bisa dikatakan baik.
Psychological and cultural effects of different kinds of danger. An exploration based on survey data from 79 countries
Authors: Fog Agner 
Published: April 2023

AbstractIndividual danger and collective danger have very different effects according to the predictions of a theory called regality theory, based on evolutionary psychology. This study explores the effects of different kinds of danger on 37 different indicators of psychological and cultural responses to danger based on data from two waves of the World Values Survey, including 173,000 respondents in 79 countries.The results show that individual danger and collective danger have very different – and often opposite – psychological and cultural effects. Collective dangers are positively correlated with many indicators related to authoritarianism, nationalism, discipline, intolerance, morality, religiosity, etc. Individual dangers have neutral or opposite correlations with many of these indicators. Infectious diseases have little or no effects on these indicators. Many previous studies that confound different kinds of danger may be misleading.Several psychological and cultural theories are discussed in relation to these results. The observed effects of collective danger are in agreement with many of these theories while individual danger has unexpected effects. The findings are not in agreement with terror management theory and pathogen stress theory.
Nonlinear Radiation Damping: A New Method for Dissipating Energy in Dynamic Earthquake Rupture Simulations
Authors: Barall Michael , Harris Ruth A. 
Published: April 2023

Abstract
Dynamic earthquake rupture simulations are used to understand earthquake mechanics and the ground shaking that earthquakes produce. These simulations can help diagnose past earthquake behavior and are also used to generate scenarios of possible future earthquakes. Traditional dynamic rupture models generally assume elastic rock response, but this can lead to peak on-fault slip rates and ground shaking that are higher than those inferred from seismological observations. Some have approached this challenge using inelastic off-fault rock behavior to dissipate energy, but the addition of inelasticity can make it difficult to select parameters and establish suitable initial conditions, and increases the model’s complexity and computational cost. We propose a new method that works by adding a nonlinear radiation damping term to the friction law, with the surrounding rocks remaining linear elastic. Our new method results in lower peak slip rates, reduced seismic radiation, and an increasing slip-weakening critical distance with increasing rupture propagation distance, all within a linear elastic model. In addition, it is easy to implement.
Plasma Exosomal Derived CCDC18AS1/miR-6835-5p/CCND2 Axis Sever as Biomarkers for Diagnosis and Predicting Efficacy of Adolescent with Major Depressive Disorder
Authors: Liu Zhifen , Xu Yifan , Du Xinzhe , Zhang Rong , Huang Yangxi , Gao Yao , Wen Yujiao , Qiao Dan , Sun Ning 
Published: April 2023

Abstract

Major depressive disorder (MDD) in adolescence seriously endangers their mental and physical health and is associated with poor social and scholastic function. However, the diagnosis and therapeutic biomarkers for adolescent with MDD remain unclear. Differential expressions of lncRNAs and mRNAs of plasma exosome were screened from 10 adolescent MDD patients and 10 healthy controls by microarray, lncRNAs-miRNAs-mRNAs networks had been generated by bioinformatic analysis, especially, 3752 differential expressions of lncRNAs and 1789 differential expression of mRNAs were included. 2 sets of axes such as AC156455.1/miR-126-5p/AAK1 and CCDC18AS1/miR-6835-5p/CCND2 were picked from networks. Candidate lncRNAs, miRNAs and mRNAs were verified in 64 adolescent MDD patients (MDD group) and 30 healthy controls (HC group) using qRT-PCR. We found that six candidate genes were differential expression between MDD group and HC group, or before and after antidepressant treatment of MDD group. The expression levels of AAK1, CCDC18AS1 and miR6835 varied in efficacy after 8-week sertraline treatment. We also found that the expression of CCDC18AS1/miR-6835-5p/CCND2 axis at baseline could predicted sertraline efficacy, which may be mediated through reducing suicidal ideation and improving cognitive function. Our study identified and validated the plasma exosome- derived lncRNAs, miRNAs and mRNAs altered in adolescent with MDD, our findings provided potential diagnosis and therapeutic biomarkers for adolescent with MDD.
Application of Cloud-Based Audio Real-Time System in Music Teaching
Authors: Cui Xiao 
Published: April 2023

Abstract
The rapid development of network science and technology has promoted the popularity of streaming media technology, which makes the audio image real-time system get a rapid development. For example, it plays a great role in video monitoring and conference, and also provides a lot of support for remote assistance and other technologies, in order to realize the synchronization of teaching in music and other directions when audio can be carried out in many different scenes. At the same time, we combined with some practical projects, in this paper; we carried out the research on the implementation of cloud system for music teaching. In this process, we use asp.net platform to develop the corresponding software functions. In the process of development, the user interface and business logic analysis are designed in a systematic way. After we have initially completed the design functions of the system, we will carry out the trial run part, and then try to run again. After that, we will carry out various tests to ensure that it has perfect functions and complete codes. All the ten deployments have been sorted out and improved by the corresponding system, so as to ensure that the system platform can be used normally and give users corresponding experience. This system uses a new B / S mode, MVC mode, and SQL sever2008 as the database. Then we process the data according to the application situation and demand information of cloud system education, and find that these data give the user's needs, including the collection of various functional blocks into specific system modules.
Chromosomal positioning and epigenetic architecture influence DNA methylation patterns triggered by galactic cosmic radiation
Authors: Perdyan Adrian , Jąkalski Marcin , Horbacz Monika , Beheshti Afshin , Mieczkowski Jakub 
Published: April 2023

Abstract
Despite surging interest in space travel in recent decades, the impacts of prolonged, elevated exposure to galactic cosmic radiation (GCR) on human health remain poorly understood. This form of ionizing radiation causes significant changes to biological systems including damage to DNA structure by altering epigenetic phenotype with emphasis on DNA methylation. Building on previous work by Kennedy et al. (2018), we evaluated spatial DNA methylation patterns triggered by high-LET (56Fe, 28Si) and low-LET (X rays) and the influence of chromosome positioning and epigenetic architecture in distinct radial layers of cell nucleus. Next, we validated our results using gene expression data of mice and JAXA astronauts. We showed that primarily 56Fe induces a persistent DNA methylation increase whereas 28Si and X rays induce a decrease DNA methylation which is not persistent with time. Moreover, we highlighted the role of heterochromatin-associated histone modifications in absorbing GCR and protecting euchromatin-associated DNA fragments localized in inner parts of nucleus. In summary, our study provides novel insights towards epigenetic nuclear architecture and its role in limiting external radiation damage.
State-dependent auditory-reward network connectivity predicts degree of pleasure to music
Authors: Mori Kazuma , Zatorre Robert 
Published: April 2023

Abstract

Music can evoke pleasurable and rewarding experiences. Past studies that examined task-related brain activity revealed individual differences in musical reward sensitivity traits, and linked them to interactions between the auditory and reward systems. However, state-dependent fluctuations in spontaneous neural activity in relation to music-driven rewarding experiences have not been studied. Here, we used functional MRI (N=49) to examine whether the coupling of auditory-reward networks during a silent period immediately before music listening can predict the degree of musical rewarding experience. We used machine learning models and showed that the functional connectivity between auditory and reward networks, but not others, could robustly predict subjective, physiological, and neurobiological aspects of the strong musical reward of chills. Specifically, the right auditory cortex-striatum/orbitofrontal connections were related to neural positive arousal responses, whereas the auditory-amygdala connection was associated with physiological arousal. Moreover, the predictive model of auditory-reward network derived from one sample of individuals replicated in an independent dataset using different music samples. The current study reveals the role of pre-task brain state in efficiently connecting sensory and reward systems leading to an intensely rewarding experience.
ERAS for Free Fibula Flap Surgery: Effects on Postoperative Recovery and Complications
Authors: Hsiao Wei-Ling , Wu Yao-Cheng , Tai Hao-Chih 
Published: April 2023

Abstract
This study aimed to evaluate the effects of the enhanced recovery after surgery (ERAS) program on postoperative recovery of patients who underwent free fibula flap surgery.This retrospective study enrolled 188 patients who underwent free fibula flap surgery between January 2018 and December 2022; after propensity score matching, the ERAS and non-ERAS groups included 36 patients each. The primary outcome was the length of intensive care unit stay; the secondary outcomes were flap complications, unplanned reoperation, 30-day readmission, postoperative ventilator use length, surgical site infections, lower-limb comorbidities, and morbidity parameters.There were no significant differences in the demographic characteristics of the patients. However, the ERAS group showed lower length of intensive care unit stay (ERAS vs non-ERAS: 8.66 ± 3.90 days vs. 11.64 ± 5.42 days, P = 0.027) and post-operative ventilator use days (ERAS vs non-ERAS: 1.08 ± 0.28 days vs. 2.03 ± 1.05 days, P < 0.001). Other secondary outcomes were not significantly different between the two groups. Additionally, patients in the ERAS group had lower postoperative morbidity parameters, such as postoperative nausea, vomiting, urinary tract infections, and pulmonary complications (P = 0.044).The ERAS program could be beneficial and safe for patients undergoing free fibula flap surgery, thereby improving their recovery and not increasing flap complications and 30-day readmission.
A Closer Look at the Time Course of Bodily Responses to Awe Experiences
Authors: Takano Ryota , Nomura Michio 
Published: April 2023

Abstract

The structure and function of awe have been examined by focusing on the average level of outcomes during awe experiences. In the present study, we tested the psychophysiological process of experiencing awe, focusing on time-series changes in skin conductance responses (SCRs), a moment-by-moment measure of sympathetic nervous responses, and pupil diameter, which is dilated or constricted through the (para)sympathetic nervous system. The responses were measured through an experiment where 77 Japanese university students watched emotional (awe, amusement, or neutral) videos while moving a joystick when they felt supernatural agency or non-agency, examining the underlying psychological processes. We found that experiencing awe was associated with frequent and steep changes in SCRs and frequent changes in pupil diameter. The joystick inclination, the perceptions of the supernatural, was kept at a high level from the start to the end of awe experiences. These results may reflect the psychophysiological processes of awe: the fluctuation of the sympathetic nervous system might underlie awe-specific experiences. Our findings shed new light on the mechanisms of the body-mind interaction in awe experiences. However, this study’s findings are limited in terms of generalizability and heterogeneity given that psychophysiological processes of awe might be different depending on demographic characteristics.
Post-Bragg Peak keV-Secondary Electron Radiolysis Revealed by Track-Ends Imaging of High-Energy Protons.
Authors: Audouin Julien , Hofverberg Petter , Ngono-Ravache Yvette , Desorgher Laurent , Baldacchino Gerard 
Published: April 2023

Abstract

Upstream of the efficiency of proton or carbon ion beams in cancer therapy, and to optimize hadrontherapy results, we analysed the chemistry of Fricke solutions in track-end of 64-MeV protons and 1.14-GeV carbon ions. An original optical setup is designed to determine the primary track-segment yields along the last millimetres of the ion track with a sub-millimetre resolution. The Fe3+-yield falls in the Bragg peak to (4.9±0.4)×10-7mol/J and 1.9×10-7mol/J, under protons and carbon ions respectively. Beyond the proton Bragg peak, a yield recovery is observed over 1 mm. It is attributed to the proton beam straggling. Since a dose rate effect is ruled out in this region, keV secondary electrons are hypothesized to produce this intermediate LET effect. They might also provide DNA lesions during proton exposure, potentially at the origin of delayed radio-induced carcinogenesis.
Construction and analysis of a hepatocellular carcinoma prognostic model based on cuproptosis-related lncRNAs
Authors: Shi Dandan , Yang Fangming , Zhao Qing , Zhao Qiang , Yuan Changwei , Zhang Chuanlei , Wang Xinting , Chen Xiaoqi , Chen Xinju 
Published: April 2023

Abstract
Objective To screen cuproptosis-relatedlncRNAs and establish a prognostic model of cuproptosis-related lncRNAs in hepatocellular carcinoma (HCC).
Methods Perl and R languages were used to collate the HCC transcriptome and clinical data downloaded from the TCGA database. Cuproptosis-related lncRNAs were obtained through co-expression analysis, and the total samples were randomly divided into the Train group and the Test group. Univariate Cox regression analysis, LASSO regression and multivariate Cox analysis were used to analyze the data of Train group to establish the prognostic model of cuproptosis-related lncRNAs. The accuracy of the model was verified by principal component analysis (PCA), ROC curve, and independent prognostic analysis. GO and KEGG enrichment analysis, tumor mutation burden correlation analysis, immunocorrelation analysis and drug sensitivity analysis were conducted in depth.
Results Co-expression analysis showed 258 cuproptosis-related lncRNAs, univariate Cox regression analysis showed 31 lncRNAs were correlated with HCC prognosis, and multivariate Cox analysis showed 5 lncRNAs involved in model construction. They are LINC00426, AL590705.3, SPRY4-AS1, AL031985.3, and AC002091.2. Validation analysis showed that the survival of patients in the low-risk group was significantly better than that in the high-risk group, and the model could be used as an independent prognostic factor for HCC. Immunocorrelation analysis showed that patients in the high and low-risk groups significantly differed in immune-related functions and immune-related therapy, which was consistent with the GO and KEGG enrichment analysis results. Tumor mutation burden correlation and drug sensitivity analysis can further guide the diagnosis and treatment of HCC patients.
Conclusion The HCC prognostic model constructed by 5 cuproptosis-related lncRNAs has high accuracy and has a certain reference value for clinical diagnosis and treatment of HCC patients.
Long non-coding RNA AC005479.2 plays a critical role in papillary thyroid carcinoma
Authors: Liang Xinke , Liu Shenghui , Wang Pengfei , Huo Shengnan , Li Jianying , Hou Qingtian 
Published: April 2023

Abstract
Background
Papillary thyroid carcinoma (PTC) is the most common subtype of differentiated thyroid malignancy, with increasing incidence. The long non-coding RNA (lncRNA) AC005479.2 has been shown to play a role in the tumorigenesis and development of multiple cancers, although its role in PTC remains unclear. Therefore, we aimed to identify the expression, function, and mechanisms of AC005479.2 in PTC.
Methods
The data were downloaded from TCGA database. The expression of AC005479.2 in PTC samples was determined by R package “limma” and RT-qPCR, and weighted gene co-expression network analysis (WGCNA) was used to explore the association between AC005479.2 and PTC. Through genetic enrichment analysis (GSEA) set of AC005479.2, potential function and molecular mechanism were discussed. Receiver operating characteristic (ROC) curve analysis was used to determine the performance of AC005479.2. Univariate and multivariate Cox regression analyses were used to analyze the effects on the prognosis of patients with PTC.
Results
The results showed that AC005479.2 was up-regulated in TCGA-PTC and PTC samples. Eleven PTC-related modules were obtained from the WGCNA, and AC005479.2 was in the blue module, which had the strongest association with PTC. AC005479.2-related genes were obtained from the blue module, and GSEA-GO analysis of these genes was mainly enriched in aerobic respiration, lipid oxidation, and negative regulation of extrinsic apoptotic signaling pathway via death down, while KEGG analysis was mainly enriched in the MAPK, JAK-STAT, and NOTCH signaling pathways. Area under the ROC curve is 0.838, prompt AC005479.2 may be PTC diagnostic biomarkers. Univariate and multivariate Cox analyses indicated that AC005479.2 was an independent risk factor for the prognosis of patients with PTC.
Conclusion
AC005479.2 is up-regulated in PTC, where it may serve as a biomarker gene, providing an important basis for future research.
Enset (Enset ventricosum) Plant Disease and Pests Identification Using Image Processing and Deep Convolutional Neural Network.
Authors: Yigbeta Tesage , Meshesha Million , Bedaso Muktar 
Published: April 2023

Abstract
Enset is a monocarpic perennial crop which belongs to the Schistaminae order and the Musaceae family. Enset is a key food security crop in Southern Ethiopia, where almost 20 million people rely on it for survival. Plant leaf diseases and destructive pests are a major challenge in Enset production. This study looks into the use of deep learning to detect bacterial wilt disease and Enset mealybug pest, where data is obtained in small amounts and collected under minimally controlled conditions. We employed data augmentation to get over the limits of the dataset size. The proposed approach is divided into four stages. The initial part entails gathering healthy and diseased Enset images with the support of agricultural experts, from various farms and research institutes. Then image processing tasks, resizing and segmentation are applied on the collected dataset in order to get an enhanced (simpler) image and to extract region of interest from the dataset images. Finally, using the collected dataset, the created model is trained and evaluated, and it is compared to the state-of-the-art pre-trained convolutional neural network models: AlexNet, ResNet50, Inceptionv3, DenseNet201, VGG16 and EfficientNetB3. The proposed approach is implemented using google Collaboratory or "Colab" for short. To detect and classify Enset diseases, the model has an accuracy of 99.68% for training and 98.87% for testing.