Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Diagnosis Intervention Packet Policy Intervention on Medication Structure and Drug Cost of Elderly Hypertensive Inpatients in China: A Multicenter Interrupted Time-Series Analysis

Background DIP is a new medical insurance payment system developed in China which was implemented in Guangzhou in January 2018, but few studies have focused on its intervention effect on the drug burden of elderly hypertensive patients. Methods Nine medical institutions in Guangzhou, China, were selected, among which, daily full medical orders of elderly hypertensive inpatients from 2016 to 2020 were randomly collected. To assess the impact of DIP policy intervention on patient drug burden, we took the data after policy implementation in January 2018, as the intervention data, and applied a segmented regression model with interrupted time series to analyze the trend and changes in average daily drug costs per month and medication structure, stratified by age, sex, and inpatient department. Results A total of 34,276 elderly hypertensive patients’ daily full medical orders were obtained. The immediate level change of drug costs after intervention was −23.884 RMB/month (P = 0.652), and the trend change was statistically significant (−15.642 RMB/month, P = 0.002). The relative cumulative effect at the end of the study was −78.860% (95% CI: −86.087% to −69.076%), and the intervention effect was more significant in surgical and male patients. The analysis of drug structure changes showed that after the implementation of the DIP policy intervention, the proportion of anti-infective drugs, anti-tumor drugs, and biological products all showed a significant downward trend (P < 0.05), while nutritional drugs showed a significant upward trend (P = 0.011), but no immediate horizontal change in slope was observed. Conclusion The typical practice in China showed that DIP policy intervention can improve the drug burden of elderly hypertensive hospitalized patients and has a stable long-term effect, and the intervention effect is not consistent across different clinical department and populations with different characteristics, and it would also cause changes in the medication structure.
Shock me like a Hurricane: how Hurricane Katrina changed Louisiana's formal and informal institutions

Abstract Institutions matter for postdisaster recovery. Conversely, natural disasters can also alter a society's institutions. Using the synthetic control method, this study examines the effects that Hurricane Katrina (2005) had on the formal and informal institutions in Louisiana. As measures of formal institutions, we employ two economic freedom scores corresponding to government employment (GE) (as a share of total employment at the state-level) and property tax (PT). These measures serve as proxies for the level of governmental interference into the economy and the protection of private property rights respectively. To assess the impact on informal institutions, we use state-level social capital data. We find that Hurricane Katrina had lasting impacts on Louisiana's formal institutions. In the post-Katrina period, we find that actual Louisiana had persistently higher economic freedom scores for both GE and PT than the synthetic Louisiana that did not experience the hurricane. These findings imply that the hurricane led to a reduction in both PTs and GE, which indicates a decrease in the relative size of the public sector as a share of the state's economy. On the other hand, we find no impact on our chosen measure of informal institution.
Short-Term Load Forecasting Reliability in Power Plant of Cyber-Physical Energy System Considering Adaptive Denoising

Cyber-physical energy systems (CPES) are a crucial component of smart grids (SGs), and as such, they represent a specialized subset of cyber-physical systems. CPES provides essential services for pricing decisions and automatic generation control through short-term load forecasting (STLF), making the accuracy of STLF critical to optimizing their operation. However, due to the numerous communication devices installed within CPES, data collection is often subject to various factors that could negatively impact load forecasting accuracy. To improve the accuracy of STLF, this article proposes a reliable method that combines an adaptive denoising technique, a 2-D deep temporal convolutional network (TDeepTCN), and a multidimensional input structure bidirectional long short-term memory-attention (MBiLSTM-attention) network. First, an adaptive approach that combines Pearson correlation coefficient and complete ensemble empirical mode decomposition with adaptive noise is utilized to effectively identify raw load series contaminated by noise and reconstruct them. Then, a TDeepTCN model is constructed using TCN to simultaneously capture and fuse both local and long-term temporal features from multiple load series. Finally, MBiLSTM-attention is employed for accurate forecasting to achieve feature processing for multidimensional depth features. Eventually, compared to existing models, our proposed model achieves the most accurate forecasting results with a mean absolute percentage error rate of only 3.98% and 4.12%, respectively, in both regions.
DEVELOPING PRE-SERVICE FOOD TECHNOLOGISTS COMPETENCE IN MONOLOGUE SPEECH THROUGH BUSINESS GAME

The notion “business game” has been specified in the paper. Students’ skills and qualities have been outlined that have been trained through business games. The steps that make up a business game have been distinguished. Quality and quantity evaluation criteria of students’ monologue speech competence in the process of business game have been proposed. English activities for business games aimed at building pre-service food technologists’ monologue speech competence have been presented. Two examples of business games have been offered:”Business Trip” and “International Food Technology Exhibition”. In the first business game one receptive and reproductive activity has been presented. This activity has been designed for developing skills of creating monologue structural elements based on the communicative situation designed by the lecturer on the video and mind map with following recording on an electronic medium. Two receptive and productive activities designed for building skills of creating a micro descriptive monologue based on the communicative situation designed by the lecturer on the key words and illustration. In the second business game one receptive and reproductive activity has been presented. This activity has been designed for developing skills of creating monologue structural elements based on the communicative situation designed by the lecturer on the video and table to fill in with the following recording on an electronic medium. Two receptive and productive activities designed for developing skills of creating a micro monologue based on the communicative situation designed by the lecturer on the key words and illustration. Control provided for each activity is self-control, based on the criteria offered by the lecturer, and lecturer control.
Migrants and Firms: Evidence from China

How does rural-urban migration shape urban production in developing countries? We use longitudinal data on Chinese manufacturing firms between 2000 and 2006, and exploit exogenous variation in rural-urban migration induced by agricultural income shocks for identification. We find that, when immigration increases, manufacturing production becomes more labor intensive and productivity declines. We investigate the reorganization of production using patent applications and product information. We show that rural-urban migration induces both labor-oriented technological change and the adoption of labor intensive product varieties. (JEL D24, L23, L60, O33, P25, P31, R23)
Rolling Bearing Fault Diagnosis across Operating Conditions Based on Unsupervised Domain Adaptation

In practical industrial scenarios, mechanical equipment frequently operates within dynamic working conditions. To address the challenge posed by the incongruent data distribution between source and target domains amidst varying operational contexts, particularly in the absence of labels within the target domain, this study presents a solution involving deep feature construction and an unsupervised domain adaptation strategy for rolling bearing fault diagnosis across varying working conditions. The proposed methodology commences by subjecting the original vibration signal of the bearing to a fast Fourier transform (FFT) to extract spectral information. Subsequently, an innovative amalgamation of a one-dimensional convolutional layer and an auto-encoder were introduced to construct a convolutional auto-encoder (CAE) dedicated to acquiring depth features from the spectrum. In a subsequent step, leveraging the depth features gleaned from the convolutional auto-encoder, a balanced distribution adaptation (BDA) mechanism was introduced to facilitate the domain adaptation of features from both the source and target domains. The culminating stage entails the classification of adapted features using the K-nearest neighbor (KNN) algorithm to attain cross-domain diagnosis. Empirical evaluations are conducted on two extensively used datasets. The findings substantiate that the proposed approach is capable of accomplishing the cross-domain fault diagnosis task even without labeled data within the target domain. Furthermore, the diagnostic accuracy and stability of the proposed method surpass those of various other migration and deep learning approaches.
Bioinspired Rigid–Flexible Coupled Adaptive Compliant Motion Control of Robot Gecko for Space Stations

This paper presents a study on bioinspired rigid-flexible coupling adaptive compliant motion control of a robot gecko with hybrid actuation for space stations. The biomimetic robot gecko is made of a rigid trunk, four motor-driven active legs with dual-degree-of-freedom shoulder joints, and four pneumatic flexible pleated active attachment–detachment feet. The adaptive impedance model consists of four input parameters: the inertia coefficient, stiffness coefficient, damping coefficient, and segmented expected plantar force. The robot gecko is equipped with four force sensors mounted on its four feet, from which the normal force of each foot can be sensed in real-time. Based on the sensor signal, the variable stiffness characteristics of the feet in different states are analyzed. Furthermore, an adaptive active compliance control strategy with whole-body rigidity–flexibility-force feedback coupling is proposed for the robot gecko. Four sets of experiments are presented, including open-loop motion control, static anti-interference experiment, segmented variable stiffness experiment, and adaptative compliant motion control, both in a microgravity environment. The experiment results indicated that the presented control strategy worked well and the robot gecko demonstrates the capability of stable attachment and compliant detachment, thereby normal impact and microgravity instability are avoided. It achieves position tracking and force tracking while exhibiting strong robustness for external disturbances.
Spatial and temporal variation of forest floor, throughfall, and stemflow properties associated with Bigleaf Maple in a mixed conifer forest of coastal British Columbia

Bigleaf maple (Acer macrophyllum Pursh) is a large deciduous tree that is abundant in western North America. Its native range extends from northern Vancouver Island, south into California. This study examined the spatio-temporal variation of bigleaf maple throughfall and stemflow volumes and the temporal variation in throughfall chemical fluxes, in relation to canopy cover and tree phenology (leafed, senescence, and leafless), and compared them to Douglas-fir. Incident rainfall, throughfall and stemflow volumes were measured and samples were collected over ten time periods. The variability in throughfall was lower for bigleaf maple during both leafed and leafless periods compared to Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco). In bigleaf maple plots, the throughfall enrichment ratio of major chemicals was highest for NO3 during the leafed period and for P, K, Ca, and Mg during the leaf senescence period. The fluxes of DOC, total-N, DON, P, K, Ca, Mg, S, SO4, Zn, Fe, Cu, and Mn in throughfall were higher in the leafless period than during the leafed period. Bigleaf maple throughfall had a higher deposition and enrichment ratio of P and K during the entire 1 The following chapter will be submitted to a peer reviewed journal for publication under the co-authorship of Margaret Schmidt and Ilja van Meerveld.
MixNet-CA: A Novel Disease Identification Method for Chinese Roses Based on MixNet-s

Chinese roses have both ornamental and medicinal value. However, Chinese roses are susceptible to various diseases during their growing process. It is a challenge for growers to promptly detect and control diseases, especially in extensive planting scenarios. A novel disease identification approach for Chinese roses is proposed to help growers accurately determine the severity of Chinese rose diseases so that they can take control of the diseases at the appropriate time. In the proposed approach, which is called MixNet-CA for short, coordinate attention and residual connections are introduced. First, the squeeze-and-excitation attention in MixNet-s is replaced by coordinate attention to enhance the information representation capability of the network and more precisely obtain disease features. Second, residual connections are constructed based on the characteristics of the MixNet-s model to enhance the network representation and prevent overfitting. Finally, reducing the network depth ensures that all network layers are fully trained. The experimental results show that the Chinese rose disease identification accuracy of MixNet-CA is 98.82%, which is 3.4% higher than that of the original MixNet-s model. The MixNet-CA model yields classification precision, recall, and F1 score metrics exceeding 97% for each category. It is also evident from the results that MixNet-CA demonstrates excellent performance compared to other networks, achieving a balance in terms of accuracy, size, the number of parameters, and the number of FLOPs. MixNet-CA also demonstrates good generalization ability on different datasets.
Hysterectomy for Benign Indications and Risk of Cataract Formation in South Korean Women

Background and Objectives: Few studies have investigated the relationship between female reproductive hormones, especially estrogen, and the incidence of cataracts. This study sought to evaluate the effects of hysterectomy on the risk of lens opacity in Korean women. Materials and Methods: This retrospective cohort study utilized data collected from 2007 to 2020 for 255,576 postmenopausal women in the Korean National Health Insurance database. Participants were divided into those who did and did not undergo hysterectomy. The hysterectomy group was further divided into two subgroups according to the type of adnexal surgery performed. The prevalence of cataracts was then compared among the control, hysterectomy alone, and hysterectomy with adnexal surgery groups. Results: The control group included 137,999 participants who did not undergo hysterectomy, while the treatment group included 93,719 women who underwent hysterectomy alone or in combination with adnexal surgery. The incidence of cataracts was higher in the control group than in the treatment group, as demonstrated in a 1:1 propensity score-matching analysis adjusted for potential confounding variables. Conclusions: The incidence of cataracts was significantly lower in the group with hysterectomy than in the control group, but the difference was subtle. The current findings may aid in identifying the role of female reproductive hormones in cataract development.
Studying Individual Differences in Language Comprehension: The Challenges of Item-Level Variability and Well-Matched Control Conditions

Translating experimental tasks that were designed to investigate differences between conditions at the group-level into valid and reliable instruments to measure individual differences in cognitive skills is challenging (Hedge et al., 2018; Rouder et al., 2019; Rouder & Haaf, 2019). For psycholinguists, the additional complexities associated with selecting or constructing language stimuli, and the need for appropriate well-matched baseline conditions make this endeavour particularly complex. In a typical experiment, a process-of-interest (e.g. ambiguity resolution) is targeted by contrasting performance in an experimental condition with performance in a well-matched control condition. In many cases, careful between-condition matching precludes the same participant from encountering all stimulus items. Unfortunately, solutions that work for group-level research (e.g. constructing counterbalanced experiment versions) are inappropriate for individual-differences designs. As a case study, we report an ambiguity resolution experiment that illustrates the steps that researchers can take to address this issue and assess whether their measurement instrument is both valid and reliable. On the basis of our findings, we caution against the widespread approach of using datasets from group-level studies to also answer important questions about individual differences.
Shared Stressful Situations and Affiliation in Stranger Dyads: An experimental Analysis

According to the tend-and-befriend theory, shared stressors may create situations in which the inclination to interact with another person (i.e., immediate affiliative desire) is elevated. This may create a situational context in which sustained affiliative responses towards an interaction partner are more likely to occur in the longer-term. In the present study, we randomly assigned 85 undergraduate stranger dyads (N = 170 participants; all women) to either shared stress or shared control experiences and measured immediate affiliative desire. The strangers in the dyads then interacted with one another in a discussion task, and participants’ long-term affiliative responses (liking and future intentions to affiliate) were assessed. The evidence suggested that shared stressful experiences (vs. the shared control experiences) promoted significantly more immediate affiliative desire. Furthermore, immediate affiliative desire mediated the association between shared stress and long-term affiliative responses. These findings offer insight into how shared stress may influence friendship development.
Revisiting Assessment of Computational Methods for Hi-C Data Analysis

The performances of algorithms for Hi-C data preprocessing, the identification of topologically associating domains, and the detection of chromatin interactions and promoter–enhancer interactions have been mostly evaluated using semi-quantitative or synthetic data approaches, without utilizing the most recent methods, since 2017. In this study, we comprehensively evaluated 24 popular state-of-the-art methods for the complete end-to-end pipeline of Hi-C data analysis, using manually curated or experimentally validated benchmark datasets, including a CRISPR dataset for promoter–enhancer interaction validation. Our results indicate that, although no single method exhibited superior performance in all situations, HiC-Pro, DomainCaller, and Fit-Hi-C2 showed relatively balanced performances of most evaluation metrics for preprocessing, topologically associating domain identification, and chromatin interaction/promoter–enhancer interaction detection, respectively. The comprehensive comparison presented in this manuscript provides a reference for researchers to choose Hi-C analysis tools that best suit their needs.
Mistreatment behaviours in the Athlete-coach relationship

This qualitative study aimed to describe the nature of mistreatment behaviours in the Athlete-coach relationship, in the region of Trás-os-Montes e Alto Douro, Portugal. For our study, we interviewed 12 athletes of federated sports. We focused on young athletes, aged 13-18 years old, who practiced a collective, combat, or individual sports discipline. The data was then studied through content analysis. In the case of athletes as victims, there were no mistreatment behaviours in the Athlete-coach relationship. However, as observers, the athletes have reported forms of abuse in the Athlete-coach relationship, such as verbal emotional abuse and denial of attention and support. As preventative measures for mistreatment behaviours, the athletes mentioned supervision and even the dismissal of the coach. Respondents stress the need to deepen the topic for the strategies to be effective. They emphasize the need to sensitize clubs for the protection of athletes, through investigations in the area under study, for fighting and preventing mistreatment behaviour in sports practice. Keywords: Emotional abuse, sexual abuse, physical abuse, neglecting, federated sports.
Western redcedar site index models for the interior of British Columbia.

Models are developed to predict top height, site index, and years to breast height for western redcedar (Thuja plicata Donn) on interior sites. Stem analysis and ecological data were collected from 46 plots in the Interior Cedar–Hemlock and Interior Douglas-fir biogeoclimatic zones. Four site trees were stem analyzed from each 0.04-ha plot. These data were converted into top height–breast height age, growth intercept, years to breast height, and site index data. A site index, growth intercept, and years to breast height model were then fit to the data. When faced with a choice of models, a graph of the models’ relative accuracy assists in selecting the appropriate model.
Shifts in breeding distribution, migration timing, and migration routes of two North American swift species

Climate change has resulted in changes to ecosystems and weather because of earlier onset of spring weather, later onset of fall weather, and more extreme weather patterns. Migratory birds may experience challenges adjusting to these new conditions. We utilized community science data from eBird that spanned 2009–2018 to test for changes in distribution and migration of two North American swift species. We asked if Vaux’s Swifts ( Chaetura vauxi ) and Chimney Swifts ( Chaetura pelagica ) changed their breeding distribution, migration routes, timing of migration, or speed of spring and fall migration over time. Our results show that Vaux’s Swifts shifted their breeding centroid south-east and Chimney Swifts shifted their breeding centroid west. There was also a shift in Vaux’s Swifts migration route to the east, almost proportionate in magnitude to its eastern shift in breeding range. Vaux’s Swifts displayed an advance in their start of spring migration, and Chimney Swifts exhibited a delay in their start of fall migration. These responses may be due to earlier onset of spring and a possible delay of colder temperatures associated with the onset of fall conditions. Our results indicated that both species are breeding further away from the coastline and more toward central
Smartphone addiction among post-graduate management students: The Indian experience

Abstract This study aimed to recognize the patterns of smartphone addiction among post-graduate management students in the North-East Region of India. The validated Smartphone Addiction Proneness Scale (SAPS) was administered to the respondents, and two different methods, namely SAPS method and median-based scoring method, were used to measure smartphone addiction. The measurement results of smartphone addiction show evidence that the student respondents are not vulnerable to smartphone addiction. Principal component analysis with promax rotation (Kaiser–Meyer–Olkin measure = 0.84; Bartlett’s test of sphericity = 0.000) demonstrated four crucial components that signify smartphone addiction which are habitual issues (issues relating to regularly or repeatedly doing or practicing something), withdrawal anxiety, tolerance, and usage outcomes. Gender was not seen to play a significant role in these components. The duration of use of a smartphone was seen to have a significant relationship with the component of habitual issues but not with the other components.