Miracle-dz/UniFAR-FTUs huggingface dataset:
The Protective Effect of Caring for Grandchildren on the Mental Health of the Elderly: A Structural Equation Modeling Analysis

Population aging has become a common problem all over the world, and the process of China’s population aging is developing rapidly. China has made active aging a national development strategy, giving full attention to the physical and mental health of the elderly. Bloodline and family continuity make the Chinese elderly attach great importance to the responsibility of caring for grandchildren. This study takes the elderly as the research center, and aims to investigate the relationship between caring for grandchildren and the mental health of the elderly in China, and whether participation in social activities mediates such an association. Adopting the data from the 2018 China Health and Retirement Longitudinal Study (CHARLS), a Chi-squared test and multiple regression results showed that caring for grandchildren significantly improved the mental health level of the elderly in China, and the results were still valid after the use of the Propensity Score Matching (PSM) to solve the endogenous problems. Analysis of the mediating effects using the Structural Equation Model (SEM) showed that caring for grandchildren indirectly contributed to the reduction of depression by increasing the diversity and frequency of participation in social activities. The constant adjustment of China’s fertility policy increases the possibility of the elderly caring for multiple grandchildren, and prolongs their time of caring for grandchildren. The elderly caring for grandchildren is a proactive choice, which continuously relieves the child-rearing stress, and highlights the family value and social value of the elderly. At the same time, raising and accompanying grandchildren makes the elderly’s lives more fulfilling and positive, which in turn promotes participation in social activities, and the mental health of the elderly.
A Dynamic Attention and Multi-Strategy-Matching Neural Network Based on Bert for Chinese Rice-Related Answer Selection

To allow the intelligent detection of correct answers in the rice-related question-and-answer (Q&A) communities of the “China Agricultural Technology Extension Information Platform,” we propose an answer selection model with dynamic attention and multi-strategy matching (DAMM). According to the characteristics of the rice-related dataset, the twelve-layer Chinese Bert pre-training model was employed to vectorize the text data and was compared with Word2vec, GloVe, and TF-IDF (Term Frequency–Inverse Document Frequency) methods. It was concluded that Bert could effectively solve the agricultural text’s high dimensionality and sparsity problems. As well as the problem of polysemy having different meanings in different contexts, dynamic attention with two different filtering strategies was used in the attention layer to effectively remove the sentence’s noise. The sentence representation of question-and-answer sentences was obtained. Secondly, two matching strategies (Full matching and Attentive matching) were introduced in the matching layer to complete the interaction between sentence vectors. Thirdly, a bi-directional gated recurrent unit (BiGRU) network spliced the sentence vectors obtained from the matching layer. Finally, a classifier was employed to calculate the similarity of splicing vectors, and the semantic correlation between question-and-answer sentences was acquired. The experimental results showed that DAMM had the best performance in the rice-related answer selection dataset compared with the other six answer selection models, of which MAP (Mean Average Precision) and MRR (Mean Reciprocal Rank) of DAMM gained 85.7% and 88.9%, respectively. Compared with the other six kinds of answer selection models, we present a new state-of-the-art method with the rice-related answer selection dataset.
Benchmarking of Analog/RF Performance of Fin-FET, NW-FET, and NS-FET in the Ultimate Scaling Limit

In this work, we examine and benchmark the analog/RF performance metrics of silicon-based multigate devices, such as Fin-FET, gate-all-around nanowire (NW)-FET, and gate-all-around nanosheet (NS)-FET, in the ultimate scaling limit of sub-5-nm technology node. The performance analysis of multigate devices is done using a fully calibrated 3-D technology computer-aided design (TCAD) simulation based on self-consistent solutions of Poisson’s equation, drift-diffusion transport equation, and carrier continuity equation with quantum correction terms for accounting band-to-band tunneling and confinement effects. Our performance benchmarking suggests that NS-FET with (100) surface orientation is a more favorable candidate over NW-FET and Fin-FET for analog/RF applications with higher voltage gain (32 V/V), higher peak cutoff frequency (373 GHz), and higher maximum oscillation frequency (389 GHz) at the 5-nm technology node. The performance benefits of NS-FET are found to be retained by decreasing the channel length, increasing the effective device width, and stacking the multichannel. Furthermore, our studies identify the proper directions to optimizations for achieving high-frequency and high-gain RF operations with multigate devices.
Long-Term Compost Amendment Changes Interactions and Specialization in the Soil Bacterial Community, Increasing the Presence of Beneficial N-Cycling Genes in the Soil

Significant differences in the microbial community and diversity in soil have been observed due to organic farming, but little research has been performed for exploring microbial functionality and the co-occurrence of patterns among microbial taxa. In this work, we study soil 16S rDNA amplicons from two long-term organic farming systems (Org_C and Org_M) and a conventional system (Conv) to decipher the differences in microbial interaction and network organization and to predict functional genes (principally related to the N cycle). In general, the network organizations were different in all cropping systems due to agricultural management. Org_C showed the highest negative interactions and modularity and the most altered bacterial niches and interactions, which led to an increase in generalist species that stabilize the bacterial community and improve the response of the soil to adverse conditions. These changes altered the predicted functionality of the bacterial community; Org_C showed higher referred numbers of nitrogen fixation genes, a decrease in the N2O emission genes and could favor the uptake of environmental CO2. Thus, long-term compost amendment application has significant benefits for the farmer and the environment, since prolonged application can reduce the use of fertilizers and pesticides and could create a more stable soil, which could resist the effects of climate change.
Dual reference phase shifted pulse width modulation technique for a N -level inverter based grid connected solar photovoltaic system

This study presents a control algorithm of a grid tied solar photovoltaic (PV) system using a dual reference phase shifted pulse width modulation technique for a single-phase cascaded N-level inverter. The grid tied inverter consists of several five-level hybrid inverter modules which are connected to the solar PV panels having equal DC voltage magnitudes. The proposed control technique for the multilevel inverter generate the near-sinusoidal current with near-unity power factor to the grid and balance the capacitor voltages across the DC links. The voltage and frequency of the multilevel inverter can be adjusted using closed loop control, such that, the maximum power flow to the grid can be achieved even under varying grid voltage. The performance of the complete system has been verified under different transient states. Experimental results verify the effectiveness of the proposed technique.
Are Speeded Tests Unfair? Modeling the Impact of Time Limits on the Gender Gap in Mathematics

When cognitive and educational tests are administered under time limits, tests may become speeded and this may affect the reliability and validity of the resulting test scores. Prior research has shown that time limits may create or enlarge gender gaps in cognitive and academic testing. On average, women complete fewer items than men when a test is administered with a strict time limit, whereas gender gaps are frequently reduced when time limits are relaxed. In this study, we propose that gender differences in test strategy might inflate gender gaps favoring men, and relate test strategy to stereotype threat effects under which women underperform due to the pressure of negative stereotypes about their performance. First, we applied a Bayesian two-dimensional item response theory (IRT) model to data obtained from two registered reports that investigated stereotype threat in mathematics, and estimated the latent correlation between underlying test strategy (here, completion factor, a proxy for working speed) and mathematics ability. Second, we tested the gender gap and assessed potential effects of stereotype threat on female test performance. We found a positive correlation between the completion factor and mathematics ability, such that more able participants dropped out later in the test. We did not observe a stereotype threat effect but found larger gender differences on the latent completion factor than on latent mathematical ability, suggesting that test strategies affect the gender gap in timed mathematics performance. We argue that if the effect of time limits on tests is not taken into account, this may lead to test unfairness and biased group comparisons, and urge researchers to consider these effects in either their analyses or study planning.
NONLOCAL TRAFFIC IN A RESIDENTIAL NEIGHBORHOOD: THE PROBLEM AND ITS MANAGEMENT AS SEEN BY RESIDENTS

This study examines the problem of nonlocal traffic in a relatively lightly traveled residential neighborhood adjacent to the Pennsylvania State University campus at State College, Pennsylvania. The purpose of this research is, first, to assess what constitutes a traffic problem for the area residents and, second, to evaluate their preferences among alternative traffic control measures. The data were collected through field observation and a home-interview survey on a sample of streets in the neighborhood. An analysis of variance shows significant overall differences between medium- and light-traveled streets in the residents' perception of the problem and willingness to accept traffic restraint measures; however, the residents' location relative to a particular control device and how it affects their mobility, as well as other socioeconomic factors, account for a great deal of the difference. Controlling speeding in the neighborhood is the residents' most important concern and four-way stop signs are the preferred solution to that problem. The research findings point out some of the inadequacies of traffic engineering practices, such as traffic counts, accident records, and solicitation of citizen complaints when viewed in isolation to be used as a basis for traffic management decisions. (Author)
A multicenter study of the 5-year trends in robot-assisted spine surgery outcomes and complications.

Background Although a growing amount of literature that suggests robots are safe and can achieve comparable outcomes to conventional techniques, much of this literature is limited by small sample sizes and single-surgeon or single center series. Furthermore, it is unclear what the impact of robotic technology has made on operative and clinical outcomes over time. This is the first and largest multicenter study to examine the trends in outcomes and complications after robot-assisted spine surgery over a 5-year period. Methods Adult (≥18 years old) patients who underwent spine surgery with robot-assistance between 2015 and 2019 at four unique spine centers. The robotic systems used included the Mazor Renaissance, Mazor X, and Mazor Stealth Edition. Patients with incomplete data were excluded from this study. The minimum follow-up was 90 days. Results A total of 722 adult patients were included (117 Renaissance, 477 X, 128 Stealth). Most patient and operative factors (e.g., sex, tobacco status, total instrumented levels, and pelvic fixation,) were similar across the years. Mean ± standard deviation Charlson comorbidity index (CCI) was 1.5±1.5. The most commonly reported diagnoses included high grade spondylolisthesis (40.6%), degenerative disc disease (18.4%), and degenerative scoliosis (17.6%). Mean (standard deviation) number of instrumented levels was 3.8±3.4. From 2015 to 2019, average robot time per screw improved from 7.2 to 5.5 minutes (P=0.004, R2=0.649). Average fluoroscopy time per screw improved from 15.2 to 9.4 seconds (P=0.002). Rates of both intraoperative screw exchange for misplaced screw (2015-2016: 2.7%, 2019: 0.8%, P=0.0115, R2=0.1316) and robot abandonment (2015-2016: 7.1%, 2019: 1.1%, P=0.011, R2=0.215) improved significantly over time. The incidence of other intraoperative complications (e.g., dural tear, loss of motor/sensory function, blood transfusion) remained consistently low, but similar throughout the years. The length of stay (LOS) decreased by nearly 1 day from 2015 to 2019 (P=0.007, R2=0.779). 90-day reoperation rates did not change significantly. Conclusions At four institutions among seven surgeons, we demonstrate robot screw accuracy, reliability, operative efficiency, and radiation exposure improved significantly from 2015 to 2019. 90-day complication rates remained low and LOS decreased significantly with time. These findings further validate continued usage of robot-assisted spine surgery and the path toward improved value-based care.
The Validity and Reliability of the Serbian Version of the Smartphone Addiction Scale—Short Version

Background and Objectives: Smartphone use has been rapidly increasing worldwide, which has brought possible smartphone addiction into the focus of research. In order to identify potential smartphone addicts, several scales were developed to assess smartphone addiction. Among them, the Smartphone Addiction Scale was frequently used. The study aimed to test the reliability and validity of the Serbian version of the SAS-SV and estimate smartphone addiction prevalence among medical students. Materials and Methods: The study was conducted in December 2018 on a convenience sample of 323 third-year medical students. The cross-cultural adaptation was performed following the well-established guidelines for cross-cultural adaptation of self-reported measures. Exploratory factor analysis was used to examine the structure of the questionnaire. Factor extraction was performed by principal component analysis with Varimax rotation. For test–retest reliability, students completed the questionnaire twice within seven days. Results: The Serbian version of the SAS-SV showed good internal consistency (Cronbach’s alpha = 0.89) and excellent reliability for test–retest scores (ICC = 0.94, 95% CI = 0.92–0.96). Factor analysis supported the extraction of one factor, which explained 51.538% of the variance. To explore convergent validity furthermore, the SAS-SV was correlated with time indicators of smartphone use. According to cut-off values for the SAS-SV score, 19.5% of students could be regarded as “addicted”, and often spent more time on smartphones and social networks on working days and weekends than “not addicted” students. Conclusions: The Serbian version of the SAS-SV is a reliable and valid instrument for detecting smartphone addiction among university students. Further research on this issue is encouraged to enable a better understanding of this ever-increasing public health issue.
Flow Visualization and Analisys of Chemical Agitated Vessel by Particle Imaging Velocimetry

Flow phenomena in the agitated vessels are estimated quantitatively by 2D Particle Imaging Velociaetry. Velocity vectors near the two kind of impellers.3 blades propeller and 4 blades pitched-paddle, are stored and converted to stream line, vorticity distributions and kinetic energy contours.Vortex structure is observed separately in the case of 3 blades propeller. The difference of flow patterns between 3 blades propeller and 4 bladespaddle is also discussed.
Detection and Quantification of the Harmful Dinoflagellate Margalefidinium polykrikoides (East Asian Ribotype) in the Coastal Waters of China

As a marine ichthyotoxic dinoflagellate, Margalefidinium polykrikoides, previously named Cochlodinium polykrikoides, have caused mass mortalities of fish worldwide during blooms. Rapid detection of target species is a prerequisite for the timely monitoring and early warning of harmful algal blooms (HABs). However, it is difficult to achieve rapid identification with traditional methods. The technology of using quantitative real-time PCR (qPCR) to detect and quantify microalgae is relatively mature. Based on the accuracy, rapidity, and sensitivity of qPCR technology, it can be used in the monitoring and development of early warning systems for HABs. From 2017 to 2020, samples were collected from 15 locations off the Chinese coast or from local sea areas. Based on the qPCR detection and analysis, the target species, M. polykrikoides (East Asian ribotype, EAr), was found in samples from Tianjin, Yangtze River estuary, and offshore Fujian (East China Sea). This is the first time that M. polykrikoides (EAr) was detected in the coastal waters of Tianjin. The results reveal a distributive pattern of M. polykrikoides (EAr) along Chinese coastal waters. It is helpful to predict the future diffusion trend of M. polykrikoides (EAr) in the China Sea and provides a practical case for the future construction of monitoring and warning systems for M. polykrikoides and HABs.
The Relationship between Internet Use and Population Health: A Cross-Sectional Survey in China

Given the increasing use of the Internet in China, the relationship between Internet use and population health has been receiving increased academic attention. However, the current literature has not yet reached a unified conclusion; thus, further research is very necessary. This study used the 2018 China Family Panel Studies (CFPS) data to explore the relationship between Internet use and the health of the population and to evaluate the possible heterogeneity of the association between different groups and the mediation path. This study revealed that Internet use has a positive association with the subjective health of the population. The results of the heterogeneity analysis revealed that Internet use is more significantly associated with the health of non-agricultural workers and those with higher education levels than that of agricultural workers and those with lower education levels. Further analysis revealed that health behavior is an important mediator between Internet use and population health. These results remain robust even after using propensity score matching (PSM) to eliminate sample selection bias.
Robust End Hopping for Secure Satellite Communication in Moving Target Defense

Satellite communication contributes tremendously to the Industrial Internet of Things (IIoT) with telecommunication efficiency and data accessibility at global-scale coverage. However, realizing proactive defense for satellite communication remains a challenge. In order to address such an issue, we first explore state-of-the-art proactive defense methods and, following next, a step forward on proposing an end hopping scheme based on fixed hopping timeslot and strict time synchronization strategy by utilizing moving target defense (MTD). In addition, we worked on a Proof of Concept (PoC) to evaluate the scheme’s theoretical protection performance for Distributed Denial of Service (DDoS). Experimental evaluation and analysis of the proposed scheme show that it is efficient and secure, as seen when the attack rate is 100 times/s, the response time of the hopping state is 69.98% shorter than that of the normal state, and when the attack rate is 1000 times/s, the response time of the hopping state is 90.15% shorter.
Terrestrial nutrient exports and environmental changes explain eutrophication trends in fifty large lakes of Yangtze Plain, China

Over the past two decades, lakes in Yangtze Plain have suffered from serious eutrophication, in some regions with increased frequency of cyanobacteria blooms over years. In this study, we investigated the underlying causes of eutrophication using a combination of process-based ecosystem modelling and statistical data analysis. We found that terrestrial nutrient exports with runoff have significantly increased from 1979 to 2018 in Yangtze Plain, directly linked to the enhanced usage of chemical fertilizer for crops. Based on statistical analyses of environmental variables, terrestrial nutrient exports and satellite-observed probability of eutrophication occurrence (PEO), we separated the studied fifty lakes into five classes with similarities in environmental and nutrient variations, and attributed key factors in controlling the temporal changes of PEO. The results showed that the satellite-observed PEO trends in five classes could be largely linked to the terrestrial nutrient exports and environmental changes. Specifically, we found agricultural activities can explain the observed eutrophication trends in western lakes where lake catchments are dominated with arable and natural land, and the reduced discharge of industrial wastewater was found to be linked to the declining trends in eutrophication for eastern lakes where the green growth of industrialization were promoted from 2003 to 2011. These findings highlight the importance of sustainable management of agriculture and industrialization to overcome eutrophication issues in this region.
Application of Theory of Reasoned Action (TRA) to Explain Continued Intention to Adopt (CIA) MHealth Services

MHealth is a digital healthcare technology with big data adoption. Identification of the factors that encourage consumers CIA mHealth application needs to be considered. The study aimed to describe influence of service quality perception (SQP), perceived vulnerability (PV), TRA toward CIA mHealth. Sampling was done online using an e-questionnaire and analyzed with PLS (partial Least Square) using SEM. A total of 429 respondents were involved, and 170 of them were met the inclusion criteria. The existent result implies that SQP and attitude significantly affect CIA. Meanwhile, PV and subjective norm (SN) not significantly influence the CIA. Effects of attitudes were able to partially mediate SQP and CIA. On the other hand, attitude cannot mediate perceived vulnerability and CIA. Empirical substation was expected to provide future analysis about CIA. Furthermore, improvements of service quality would induce the frequent use of mHealth application.
Meniscus regeneration by 3D printing technologies: Current advances and future perspectives

Meniscal tears are a frequent orthopedic injury commonly managed by conservative strategies to avoid osteoarthritis development descending from altered biomechanics. Among cutting-edge approaches in tissue engineering, 3D printing technologies are extremely promising guaranteeing for complex biomimetic architectures mimicking native tissues. Considering the anisotropic characteristics of the menisci, and the ability of printing over structural control, it descends the intriguing potential of such vanguard techniques to meet individual joints’ requirements within personalized medicine. This literature review provides a state-of-the-art on 3D printing for meniscus reconstruction. Experiences in printing materials/technologies, scaffold types, augmentation strategies, cellular conditioning have been compared/discussed; outcomes of pre-clinical studies allowed for further considerations. To date, translation to clinic of 3D printed meniscal devices is still a challenge: meniscus reconstruction is once again clear expression of how the integration of different expertise (e.g., anatomy, engineering, biomaterials science, cell biology, and medicine) is required to successfully address native tissues complexities.