bluuebunny/crossref_metadata_2025_split huggingface dataset:
Parental Technoference and Adolescents’ Mental Health and Deviant Behaviour: A Scoping Review
Authors: Dixon Donna , Sharp Catherine. A. , Hughes Karen , Hughes Carl 
Published: April 2023

Abstract
Purpose The term ‘technoference’ refers to habitual interferences and disruptions within interpersonal relationships or time spent together due to use of technological devices. Evidence suggests that parental technoference may predispose children’s internalising and externalising behaviours. The aim of this scoping review is to summarise existing literature on the impact of parental technoference on the mental health and deviant behaviours of young people.
Methods A scoping review of literature was undertaken across six databases (APA PsycINFO, MEDLINE, ASSIA, ERIC, Social Sciences Premium Collection, SciTech Premium). Searches included articles examining the impact of parental technoference on adolescent mental health and deviant behaviours. All included studies demonstrated empirical findings.
Results Searches retrieved 382 articles, of which 13 articles met the eligibility criteria. A narrative approach was applied to synthesise the eligible findings. Across all studies, adolescent perceptions of parental technoference were negatively associated to adolescent mental health and were positively related to adolescent deviant behaviours. Parental cohesion and psychological constructs were identified as significant mediating factors.
Conclusion Findings suggest that parents should be aware of the environment in which they use electronic devices as their use can, directly and indirectly, influence adolescent mental health and behaviours. Further research into the impact of parental technoference could inform evidence-informed guidelines for parental management of electronic devices.
Machine learning for discovering laws of nature
Authors: Xin Lizhi , Xin Kevin , Xin Houwen 
Published: April 2023

Abstract
A macroscopic particle obeys Newton's law, and a microscopic particle obeys the principles of quantum mechanics - so where is the sharp boundary between the macroscopic and microscopic worlds? It was this "interpretation problem" that prompted Schrödinger to propose his famous thought experiment (a cat that is simultaneously both dead and alive) and sparked a great debate about the quantum measurement problem, and there is still no satisfactory answer yet. This is precisely the inadequacy of rigorous mathematical models in describing the laws of nature. We propose a computational model to describe and understand the laws of nature based on Darwin's natural selection. In fact, whether it's a macro particle, a micro electron or a security, they can all be considered as an entity, the change of this entity over time can be described by a data series composed of states and values. An observer can learn from this data series to construct theories (usually consisting of functions and differential equations). We don't model with the usual functions or differential equations, but with a state Decision Tree (determines the state of an entity) and a value Function Tree (determines the distance between two points of an entity). A state Decision Tree and a value Function Tree together can reconstruct an entity's trajectory and make predictions about its future trajectory. Our proposed algorithmic model discovers laws of nature by only learning observed historical data (sequential measurement of observables) based on maximizing the observer's expected value. There is no differential equation in our model; our model has an emphasis on machine learning, where the observer builds up his/her experience by being rewarded or punished for each decision he/she makes, and eventually leads to rediscovering Newton's law, the Born rule (quantum mechanics) and the efficient market hypothesis (financial market).
Control of inhibition through anaerobic co-digestion of algae with sugarcane bagasse
Authors: Zongo Bilassé , Shayan Sahand Iman , Wang Meng , Ergas Sarina J 
Published: April 2023

Abstract
Anaerobic digestion (AD) of algal-bacterial biomass grown on wastewater has been used successfully for bio-methane production. However, challenges with AD of microalgae include inhibition due to accumulation of free ammonia (FA) and volatile fatty acids (VFAs), alkalinity depletion and/or pH outside optimal values. In this study, algal-bacterial biomass was co-digested with sugarcane bagasse, an agricultural waste product, to increase biogas production by controlling inhibition. Algal-bacterial biomass was cultured in bench-scale photo-sequencing batch reactors (PSBRs) used to treat high ammonia strength wastewater. Biochemical methane potential (BMP) assays were set up at approximately 2% solids content with varying ratios of algal-bacterial biomass and sugarcane bagasse to achieve carbon to nitrogen (C/N) ratios between 4.5 and 60. Addition of sugarcane bagasse helped balance the high nitrogen content of algae and control pH/Alkalinity, VFA and FA in BMPs. Methane content of the biogas was similar for all BMPs (~66 %). The highest total biogas production was observed for BMPs with substrates composed of algae (AL) and sugarcane bagasse (BG) at C/N ratios of 17 and 18. When the C/N ratio was maintained at about the optimal ratio, a significant correlation (r2 = 0.88, p = 0.012) was observed between algae biomass content of the substrate and total gas production and thereby methane yield. The results show that sugarcane bagasse addition to algal-bacterial biomass reduced AD inhibition and led to greater methane yields.
Monitoring crystallite fusion of nanocellulose during colloid condensation
Authors: Doi Yoshinori , Daicho Kazuho , Isobe Noriyuki , Tanaka Reina , Kimura Satoshi , Fujisawa Shuji , Saito Tsuguyuki 
Published: April 2023

Abstract
The crystallinity of cellulose decreases when bundled microfibrils are dispersed in water as cellulose nanofibers (CNFs) or physically separated into finer nanoscale fibrils or single microfibrils. The crystallinity of these CNFs is recovered when they become densely assembled through the dehydration of the dispersion. In this process, multiple CNFs are assumed to partially fuse, leading to the enlargement of crystallite widths. The mechanism of this CNF fusion is, however, not well understood. In this study, the recovery process of the crystallinity of CNFs was monitored by sampling wet CNF gels during condensation from a dilute dispersion to a dense aggregate, followed by wide-angle X-ray diffractometry (WAXD) and solid-state 13C nuclear magnetic resonance (NMR) spectroscopy analyses after supercritical drying. In the WAXD analysis, a two-step enlargement in the (2 0 0) crystal size was observed: the first step was a rapid increase in the range of solid content up to 1%, followed by a gradual increase in the range of 1–85%. The crystallinity index estimated by NMR hardly changed in the range of 0.5–30% but gradually increased in the range of 30–85%. A portion of the CNF samples, without drying, were also subjected to small-angle X-ray scattering and viscoelasticity analyses, indicating that the inter-CNF contact points in water significantly increased until reaching a solid content of 1%, and then at solid contents higher than 1%, the contact areas of each point gradually expanded. Finally, a mechanism of CNF fusion was proposed based on these results.
Design of dynamic system for college students' sports data management based on wearable devices of internet of things
Authors: Bai Yonghui 
Published: April 2023

Abstract
In recent years, with the development of the Internet of Things technology and the popularization of smart phones, wearable devices have gradually expanded their applications. Sensor technology can effectively manage dynamic motion data systems. Wearable devices are widely used in sports, fitness and other fields, and users can use such devices to monitor target movement status data in real time. At present, although contemporary students have a strong sense of movement, they cannot fully understand their physical endurance. Therefore, they can solve this problem by using wearable devices. Under this background, this research completed the construction of the dynamic management system of college students' sports data based on wearable devices by introducing the Internet of Things technology. The system data management module and storage module are implemented by Hadoop end and web end, and can complete data interaction between different ends through set communication methods. Among them, the wearable device system can achieve data collection, use mobile terminals to complete software loading, and use cloud storage technology to achieve data storage. The data transmission process between the three parts is also different. For example, GPRS is used to complete the interaction between the mobile terminal and the data storage module, and Bluetooth can be used to transmit data between the mobile terminal and the device data collection platform. Through the design of simulation experiments, we can know that the system algorithm has good classification accuracy, and can effectively reduce the training model time. This paper completes the dynamic management of sports data for college students by combining wearable devices and Internet of Things technology.
Global land and water limits
to electrolytic hydrogen production using wind and solar resources
Authors: Tonelli Davide , Rosa Lorenzo , Gabrielli Paolo , Caldeira Ken , Parente Alessandro , Contino Francesco 
Published: April 2023

Abstract
Scale up of electrolytic production of hydrogen has been proposed as key to achieving net-zero emissions by 2050. This poses technical, economic, and environmental challenges. One challenge concerns the use of wind and solar resources to power water electrolyzers for low-carbon hydrogen production, which results in additional demand for already scarce land and water resources. Here, we quantify the land and water scarcity induced by large-scale hydrogen production from electrolysis of water using wind and solar electricity. First, we develop a reference scenario for hydrogen demand in a 2050 net-zero economy by country and by sector. We then estimate land and water demands associated with future hydrogen production, and compare such demands with the respective country-specific land and water availability. Results highlight that land and water availability may constrain the production of electrolytic hydrogen in Europe, Asia, and Northern Africa. In our reference scenario, less than half of 2050 hydrogen demand could be satisfied by domestic production with no constraints in land and water resources. Our findings identify potential importers and exporters of hydrogen based on domestic land and water resources.
Development of music teaching software based on neural network algorithm and user analysis
Authors: Xuelian Han 
Published: April 2023

Abstract
At this stage, music teaching is facing an increasingly serious shortage of teacher resources. Therefore, it is particularly important to develop a music teaching software by using computer assisted music teaching activities. First of all, the operation method program of this system is carefully designed according to the principles of computer network technology. Using the performance characteristics of Fourier transform and its enhanced functions to extract music, the priority key system modules are designed according to the system structure framework and data processing program, and the main design code is provided. With the development of artificial intelligence technology, neural network has gradually become an important research method in this field. And compared with the traditional mechanical learning methods, the neural network based method has the advantages of simple algorithm mode, good universality, strong robustness, organic and mobility. With the rapid change of in-depth learning technology, music teaching software has shown great overall advantages in the accuracy and speed of detection. In addition, this paper analyzes the specific user level of music teaching programs, focusing on their interest in and specific acceptance of these music teaching programs, as well as the use of user feedback to develop specific and effective music teaching programs. Neural network algorithm and user analysis provide a new strategy for developing music teaching software.
Low-Level Laser Therapy combined with scleral graft transplantation in the treatment of Contracted Socket: A Clinical study
Authors: Huang Qin , Fang Yangbin , Lai Yao , Liao Hongfei 
Published: April 2023

Abstract
Objective: To analyze the efficacy of the therapeutic use of Low-Level Laser Therapy (LLLT) on the tissue repair process of allogeneic sclera graft in patients with contracted sockets through the analysis of the speed of graft vascularization and the fornices depth of contraction percentage.
Methods: A retrospective chart review was performed on all patients whose socket contraction from April 2015 to April 2021, 39 patients were included. All the patients were repaired with allogeneic scleral graft.They were randomly enrolled into 2 groups, Laser Group included 18 patients treated with LLLT after operation.Control Group 21 patients who without LLLT after operation and healed naturally. The LLLT equipment used in the research has a wavelength of 650 nm,10mW power, 3.8J/cm2 dosimetry, performed once daily for 5 min over a course of 5 days began with 1 week postoperative. All patients were followed up over a period of 6 months for changes in the size of the area of the non-vascularized graft, upper fornix (UF),inferior fornix (IF) depth.
Results: The Laser Group presented a significant increase speed of conjunctival vascularization compared with the Control Group, with a significant statistical difference (P =0.003). The fornices depth of contraction percentage occurred apparent in Control Group compared with Laser Group (P =0.000).
Conclusion: LLLT accelerate the speed of conjunctival vascularization,stimulated conjunctival incision healing in a short period,shorten the tissue repair process and reduce the local inflammatory response and no significant conjunctival sac shrinkage occurred.
Assessment of Quality of life and Academic Performance among Asthmatic Medical Students at Al-Neelain University, 2020
Authors: Abdulbagi Rasheeda , Sabir Mustafa 
Published: April 2023

Abstract
Background
Severe asthma has a great impact on the quality of life (QOL) of patients and their families. The magnitude of this morbidity is affected by several personal factors including age. Appropriate asthma control and modifications of Social, physical, emotional roles are expected to improve QOL. Medical students life can be affected by several ways specially the academic side, such effect should be controlled to keep their lives healthy. The study aims to give a good knowledge about how asthma can affect the quality of life of medical students, the magnitude of this effect, and how medical students can combat these effects. Also, this study will help universities to take action and consideration to those students by providing specific clinics or health education about their disease.
Methods
An institution based cross sectional study design of 58 asthmatic medical students was done, who were selected by convinced sample, and data were collected using valid available Asthma Quality of Life Questionnaire (AQLQ). Some of the questions was modified to screen for other objectives of the study. Pretested, structured and self-Administered Google form questionnaire was used to collect the data. The data was pretested, an excel copy of the data was obtained, analysis was done by IBM SPSS statistic version 25.
Results
The study showed that the asthma affect the physical activity, social activity and psychological health of the participant in mild degree. And it effects the academic achievement of the students by 34.5%. And showed significant effect in focusing during lectures and clinical rounds by 43.6% and 41.8% respectively.
Conclusions
asthma has a significant effects on the QOF among medical students, and has a notice effect in the performance of the medical students. The study recommends that universities take in consideration the a healthy environment for asthmatic medical students and provide clinics to improve their health. And further researches recommends to assess QOF of asthmatic medical students.
Plasma metabolomics reveals the intervention mechanism of different types of exercise on chronic unpredictable mild stress-induced depression rat model
Authors: Liu Xiangyu , Zhang Bo , Tian Junsheng , Han Yumei 
Published: April 2023

Abstract
Objective
To study the effects of different types of exercise on the plasma metabolomics of chronic unpredictable mild stress (CUMS)-induced depressed rats based on 1H-NMR metabolomics techniques, and to explore the potential mechanisms of exercise for the treatment of depression.
Methods
Rats were randomly divided into blank control group (C), CUMS control group (D), pre-exercise group (P), aerobic exercise group (A), resistance exercise group (R), and aerobic + resistance exercise group (AR). The corresponding protocol intervention was applied to each group of rats. Body weight, sucrose preference and open field tests were performed weekly during the experiment to evaluate the extent of depression in rats. Plasma samples from each group of rats were collected at the end of the experiment, and then the plasma was analyzed by 1H-NMR metabolomics combined with multivariate statistical analysis methods to identify differential metabolites and perform metabolic pathway analysis.
Results
(1) Compared with the group D, the body weight, sucrose preference rate, and the number of crossings and standings in the different types of exercise groups were significantly improved (p < 0.05 or p < 0.01). (2) Compared to group C, a total of 15 differential metabolites associated with depression were screened in the plasma of rats in group D, involving 6 metabolic pathways. Group P can regulate the levels of 6 metabolites: valine, lactate, inositol, glucose, phosphocreatine, acetoacetic acid. Group A can regulate the levels of 6 metabolites: N-acetylglycoprotein, leucine, lactate, low density lipoprotein, glucose, acetoacetic acid. Group R can regulate the levels of 6 metabolites: choline, lactate, inositol, glucose, phosphocreatine, acetoacetic acid. Group AR can regulate the levels of 5 metabolites: choline, citric acid, glucose, acetone, acetoacetic acid.
Conclusion
The different types of exercise groups can improve the depressive symptoms in CUMS rats, and there are common metabolites and metabolic pathways for their mechanism of effects. This study provides a powerful analytical tool to study the mechanism of the antidepressant effect of exercise, and provides an important method and basis for the early diagnosis, prevention and treatment of depression.
Identification of Microbial Community in Otomycosis by mNGS: Potential implication for treatment of this disorder with terbinafine
Authors: Xu Shuai , Zhang Xin , Yang Qianqian , Li Jianfeng , Yu Zhaoyan 
Published: April 2023

Abstract
The present study was designed to identify the microbial community as well as to analyze its diversity bymeans of metagenomic Next Generation Sequencing(mNGS)in 17 patients with otomycosis treated with terbinafinein the Department of Otolaryngology of Shandong Provincial Hospital from June 2021 to June 2022, so as to evaluate the relationship between microbial community and terbinafine resistance. Those 17 patients were divided into two groups, i.e., Terbinafine Effective Group (TEG, n = 14 cases) and Terbinafine Resistance Group(TRG, n = 3 cases) according to the therapy effect, whose microbial community of secretion of external auditory canal (EAC)was identified using mNGS. We found that the sequence of bacteria was significantly more than that of fungi and, whereas, the difference between the two groups of bacteria was not significant.There were significant differences in fungal community between the two groups. Aspergillus was the main pathogenic fungus of TEG patients while Malassezia was a dominant fungus in TRG patients. In conclusion, the results from this work indicate that Aspergillus terreusis the main pathogenic fungus in this cohortof otomycosis patients and MNGS sequencing can offer comprehensive information about the microbial community of otomycosis. The fungus community dominated by Malassezia is more likely to be resistant to terbinafine, which provides certain guidance for clinical treatment of otomycosis with terbinafine.
The Impact of COVID-19 pandemic on the professional lives of Iranian physicians
Authors: Deris Kimia , Farjam Mojtaba , Zareei Saeideh , Alkamel Abdolhakim , Kazemi Maryam 
Published: April 2023

Abstract
purpose: There is a belief that opium consumption has a protective effect on hypertension and diabetes as two important risk factors for cardiovascular disease. This study aims to investigate blood sugar and pressure between opium users and non-users.
Methods: This cross-sectional study is based on a FASA PERSIAN cohort study. Systolic, diastolic blood pressure, and fasting blood sugar were compared between opium users and non-users. A linear regression model was also used to adjust confounding factors’ effects. Data analysis is performed using version of 22spss software. Mean and standard deviation, frequency and frequency percentage , Independent t-test, Chi-square, ANOVA test, and linear regression model were used to analyze the data. The significance level was 0.05.
Results: In this study, 7428 adult people participated. The mean age of participants was 46.5 years. 27.05% of participants were opium users. The mean diastolic blood pressure was 73.18 mmHg in non-opium users; however, it was 70.95 mmHg in opium users(P=0.000). The mean systolic blood pressure was 105.20 mmHg in opium users, but it was 107.78mmhg in non-users(P=0.000). The mean Fasting Blood sugar was 86.75 and 85.88 mg/dl in non-opium users and users, respectively(P=0.019).
Conclusion: In the presence of confounders such as age, sex, smoking, BMI, physical activity, and calorie intake, systolic and diastolic blood pressure were lower in opium consumers, but fasting blood sugar was higher in opium users. Considering the many side effects of these substances, the usage of opium is not recommended at all.
Submerged Arc Welding Process: a numerical investigation of temperatures, displacements and residual stresses in ASTM A516-Gr70 corner joined samples
Authors: Conte Romina , Izquierdo David Rodríguez , Francesco Gagliardi 
Published: April 2023

Abstract
Arc welding processes represent an important category of fusion welding techniques. They are characterised by the use of an electric arc to create heat to melt and join metals. Submerged arc welding belongs to this process category. Its peculiarities are mainly related to the employment of a continuously fed electrode and of a powdered flux to cover the arc providing electrical conduction between electrode and metals to be connected and, at the same time, generating protective gas and slag shields. Current (𝐼), voltage (𝑉) and welding speed (𝑣) are the main process variables, properly set, to guarantee the specific heat (SH) required to achieve sound weld beads. In this research, a finite element model was built and validated comparing the extracted numerical results to experimental evidence. Different combinations of 𝐼, 𝑉 and 𝑣 were proposed providing, however, a fixed SH to the welding zone according to the required industrial standards. Specifically, tests were executed increasing the ratio V to v (for a constant 𝐼) and the ratio 𝐼 to 𝑣 (for a constant 𝑉) and with a different combination of 𝑉 and 𝐼 maintaining constant their product (for a constant 𝑣). The influence of the investigated variables’ combination on the weld pool in terms of depth and width was discussed. Finally, the validated numerical models were employed to highlight precisely residual stresses and displacements trend on cross-sectioned weld beads connecting the shown tendencies to the investigated process conditions.