Miracle-dz/UniFAR-FTUs huggingface dataset:
Family Compositions and Marital Conflicts in Cross-border Remarriages in Hong Kong

This article examines the sources of marital conflicts in cross-border remarriages in Hong Kong among Mainland Chinese women who migrated with their children from previous unions and those who did not. Drawing on in-depth interviews with remarried Mainland mothers, the study compares the ways in which different family compositions, that is, the presence or absence of non-shared and common children, may shape marital conflicts and affect remarital relations in cross-border stepfamilies. Results indicate that although cross-border remarriages with different family compositions may share certain sources of conflicts, each specific type of remarriage is prone to particular sources of conflicts. This study also demonstrates how the migration of Mainland children can greatly change remarital dynamics and stepparent–stepchild conflicts often entangled with disputes over other issues. The research fills a major gap in the literature on stepfamilies and marriage migration that pays little attention to the post-migration marital dynamics of international remarriages.
Evaluation of Four-Year Stability of Unspecified Psychosis.

Introduction Unspecified psychosis, defined with the F29 code in the International Classification of Diseases (ICD) 10th version is commonly used if there is inadequate information to make the diagnosis of a specific psychotic disorder. There is a lack of data about the prevalence, incidence, diagnostic validity and stability of this diagnosis. Therefore, we aimed to evaluate the prevalence and diagnostic consistency of unspecified psychosis in the outpatient unit. Methods Patients diagnosed with the ICD-10 F29 code at the first visit and interviewed at least three times between January 2012-2016 in the Psychiatry Outpatient Clinic were included (n=138). Hospital records were reviewed retrospectively and data were analyzed with SPSS 19th version. Results Mean duration of follow-up was 22.8±14.7 months. The diagnoses at the final follow-up were unspecified psychosis (43%), bipolar disorders (18%), schizophrenia (11%), major depression (7%), and anxiety disorders (4%). No significant difference was found between the follow-up diagnoses in terms of age, duration of follow-up, gender, educational status and marital status. Conclusion The diagnostic stability of unspecified psychosis is low compared to other psychotic disorders. Follow-up studies with larger sample sizes are required to elucidate the the low diagnostic stability of unspecified psychosis.
A comparison of UAV laser scanning, photogrammetry and airborne laser scanning for precision inventory of small-forest properties

This study addresses the use of multiple sources of auxiliary data from unmanned aerial vehicles (UAVs) and airborne laser scanning (ALS) data for inference on key biophysical parameters in small forest properties (5–300 ha). We compared the precision of the estimates using plot data alone under a design-based inference with model-based estimates that include plot data and the following four types of auxiliary data: (1) terrain-independent variables from UAV photogrammetric data (UAV-SfM); (2) variables obtained from UAV photogrammetric data normalized using external terrain data (UAV-SfMDTM); (3) UAV-LS and (4) ALS data. The inclusion of remotely sensed data increased the precision of DB estimates by factors of 1.5–2.2. The optimal data sources for top height, stem density, basal area and total stem volume were: UAV-LS, UAV-SfM, UAV-SfMDTM and UAV-SfMDTM. We conclude that the use of UAV data can increase the precision of stand-level estimates even under intensive field sampling conditions.
A Criterion of Heat Transfer Deterioration for Supercritical Organic Fluids Flowing Upward and Its Heat Transfer Correlation

The main objective of this study was to develop the supercritical heat transfer correlation applicable for organic fluids when flowing upward in smooth tubes based on the available experimental data. The organic fluids contain R-22, R-134a, R-245fa and Ethanol and the associated heat transfer characteristics were compared with non-organic fluids like water and carbon-dioxide (CO2). It was found that the limit heat flux may result in heat transfer deterioration (HTD) of organic fluid and the corresponding values are much smaller than water or CO2. A new criterion to predict the HTD was developed and this criterion yields the best predictive ability against database. It was found that HTD occurs can be well described by the acceleration parameter evaluated at the wall condition rather than at bulk condition. For estimation of the supercritical heat transfer coefficient (HTC) for organic fluid, the present study proposes a new correlation with a physically based correction factor, which gives satisfactory predictions against the HTC of supercritical organic fluid. The new correlation can offer the smallest average deviation of 0.007 and standard deviation of 0.181 among the existing correlations.
Data Mining: WEKA Software ( an Overview )

Data mining (also known as knowledge discovery from databases) is the process of extraction of hidden, previously unknown and potentially useful information from database. In today's world data mining have progressively become interesting and popular in terms of all application. The data mining requires huge and small amount of data sets for extraction of knowledge from it. The main aim of data mining software is to allow user to examine data. This paper is a review paper that introduces some topics related to data mining steps and also describing the steps of how to use WEKA tool for various technologies & different facility to classify the data through various algorithms.
Analyzing Different Parameterization Methods in GNSS Tomography Using the COST Benchmark Dataset

GNSS tomography is an emerging remote sensing technique in the field of meteorology that is gaining increased attention in recent years. This method is used as a tool for atmospheric (particularly tropospheric) sensing and then applied in nowcasting and forecasting research. The tomographic approach can be used to determine the distribution of water vapor (WV), the most active component of the atmosphere. WV is one of the most important drivers of convection and precipitation. In this method, numerous line-of-sight integral observations at different locations and directions are used to derive a 3-D distribution of a WV structure. One of the challenges in GNSS tomography is that different parameterization methods are used for computing the design matrix. Here, the effect of the straight-line method versus the ray-tracing method is investigated for computing the length of a ray which passes through the model element. In addition, the effect of considering the topography of the area in the tomography model is analyzed. The accuracy of the developed model is verified using radiosonde measurements in the COST benchmark dataset. Results show that the Eikonal ray-tracing method is superior to other schemes whether used with topography or not. The mean values of RMSE of estimated wet refractivity with respect to the radiosonde profiles for these schemes are about 1.313 and 1.766 ppm, respectively. This work is conducted within COST Action ES1206 on “Advanced global navigation satellite systems tropospheric products for monitoring severe weather events and climate (GNSS4SWEC) (2013–2017)” and IAG Working Group “GNSS tomography. ”
Dynamic System Model for Performance Measurement of Tea Agroindustry

The problems of decrease in tea quality and tea productivity agroindustry have become a quite complex system problems. The dynamic system approach provides an analytical framework in order to understand the linkage of managerial policies of tea agroindustry. It applied dynamic system model by using tool powersym studio 2005. The simulation is done in the period of 2019-2025. Furthermore, performance dynamic model of tea agroindustry consists of production process linkage, finance, and human resources. The system produces three scenarios (aggressive, moderate, and pessimistic) based on management's response to strategic planning in 2011-2016. The result of this research is the model can be used to provide insight for management to monitor dynamic behavior of tea agroindustry. The simulation of dynamic behavior of scenarios recommended aggressive scenario as the best recommendation. The best scenario is the aggresive scenario. The measures were 10% rejuvenation increase, 10% production cost decrease, minimum tea selling price on export quality, increase in HR investment cost as much as 20%.
A Review Article of Artificial Insemination in Poultry

The objective of this review is to discuss the history, importance of Artificial Insemination (AI), semen collection and deposition techniques, physiology of cockerel reproduction, characteristics and chemical components of chicken semen, semen storage, and evaluation of semen, semen extenders and behavior of sperm in the oviduct. The first AI in poultry was reported in 1936. All of the avian male reproductive system is inside the bird unlike the males of mammalian species. Avian semen contains energy source to help the viability of semen for AI. For the purpose of in vitro storage semen extenders with appropriate osmolarity and source of energy can be used. Abdominal massage method is the most common technique to collect semen. The technique involves restraining the male and gently stroking the back of the bird from behind the wings towards the tail with firm rapid strokes and gentle squeeze to extract the semen. There are two methods of semen deposition in poultry. These methods are the Intra-peritoneal insemination and vaginal insemination. Vaginal insemination is the commonly used method. It involves everting (turning inside out) the cloaca to expose the reproductive tract of the female.
Cycle-based Energy-saving Scheme for NG-EPON Networks with High Traffic Loading

The next generation Ethernet passive optical network (NG-EPON) is one of the most efficient transmission technologies for broadband access. However, the active component ONU in such network still consumes a lot of power especially in high-load traffic. Meanwhile, the high-load traffic could invoke many idle periods which could waste power in the network. This work aims to find those idle periods from current cycle and even on next cycle. The proposed scheme classifies ONUs into intra-sleep ONUs and inter-sleep ONUs and then transforms them to different range of temporal sleep modes for these ONUs to save power. Simulation results show that a satisfactory power saving effect is achieved in high-load traffic while keeping a low delay.
Mobility, Citizens, Innovation and Technology in Digital and Smart Cities

Cities are constantly transforming and, consequently, attracting efforts from researchers and opportunities to the industry. New transportation systems are being built in order to meet sustainability and efficiency criteria, as well as being adapted to the current possibilities. Moreover, citizens are becoming aware about the power and possibilities provided by the current generation of autonomous devices. In this sense, this paper presents and discusses state-of-the-art transportation technologies and systems, highlighting the advances that the concepts of Internet of Things and Value are providing. Decentralized technologies, such as blockchain, are been extensively investigated by the industry, however, its widespread adoption in cities is still desirable. Aligned with operations research opportunities, this paper identifies different points in which cities’ services could move to. This also study comments about different combinatorial optimization problems that might be useful and important for an efficient evolution of our cities. By considering different perspectives, didactic examples are presented with a main focus on motivating decision makers to balance citizens, investors and industry goals and wishes.
Variance and Scale-Free Properties of Resting-State BOLD Signal Alter after Fear Memory Acquisition and Extinction

Previous studies showed differences in brain dynamics during rest and different tasks. We aimed to find changes of variance and scale-free properties of blood oxygenation level-dependent (BOLD) signal between resting-state sessions before and after fear learning and fear memory extinction in twenty-three healthy right-handed volunteers. During a 1-hour break between MRI-scanning, subjects passed through fear extinction procedure, followed by Pavlovian fear conditioning with weak electrical stimulation. After preprocessing, we extracted the average time course of BOLD signal from 245 regions of interest (ROI) taken from the resting-state functional atlas. The variance of the BOLD signal in and Hurst exponent (H), which reflects the scale-free dynamic, were compared in resting states before after fear learning. Six ROIs showed a significant difference in H after fear extinction, including areas from the fear and memory networks. In consistency with the previous results, H decreased during fear extinction but then increased higher than before, specifically in areas related to fear extinction network, whereas the other ROIs restored H to the initial level. The BOLD signal variance showed distinct behavior: the variance in subcortical regions increased permanently, while cortical areas demonstrated a decreasing variance during fear extinction and the reverse growth in resting state after fear extinction. A limited number of ROIs showed both changes in H and the variance. Our results suggest that the variability and scale-free properties of the BOLD signal are sensitive indicators of the residual brain activity related to the recent experience.
The Perching and Flights of Racism

Racism is not some static conception reflecting merely xenophobic feelings or hierarchical mindsets among individuals (Miles and Brown 2003). The term “racism,” in association with questions of democracy and individual opportunity, has risen into the primary weltanschauung of the American political and social psyches as represented by the September 12, 2019 Democratic Debate, political organizations, and political media. Given this weltanschauung, the purpose of this article is to seek additional knowledge toward coming to understand the perceptions of young adult Black men’s perceptions and political activations when prompted by the phenomenon of racism. Interpretative phenomenological analysis was engaged in the study of the YABMs to gain their reflective meaning-making and to protect against researcher biases. Key findings established that references to matters political involved the participants experiences with their communities, concerns with helping others in that community in a reciprocal manner, and the exclusionary practices found that challenges said community. These characteristics occur simultaneously as a meaning” of “the political” for each of the participants (Miller 1980). Theoretically, the extent to which these characteristics played into their perceptions of the political in-turn affect their decision-making and activations of political perceptions and behaviors. This theoretical conception was carried forward toward gaining knowledge of young adult Black men’s perceptions of political experiences serve as a source of data for this article; specifically, the data referencing matters of race (Crayton 2019).
Cybersickness in Virtual Reality Head-Mounted Displays: Examining the Influence of Sex Differences and Vehicle Control

ABSTRACT Motion sickness is more common among women than among men. In vehicles, motion sickness is more common among passengers than among drivers. We asked whether these two effects might interact. In a yoked-control design using a head-mounted display, one member of each pair drove a virtual automobile, while the other member watched a recording of the driver’s performance. Overall reports of motion sickness were representative of previous research. We found no evidence that the incidence of motion sickness, or the severity of motion sickness symptoms differed between the sexes, or between drivers and passengers. However, among participants who discontinued early, the exposure time for female drivers was significantly less than for male drivers. The results confirm that motion sickness is a common effect of HMD use, and suggest that in virtual environments sex differences in motion sickness may vary with specific tasks.
“And it made me feel good inside”: Initial Evidence and Future Methods for Evaluating Nature School Effectiveness

Abstract:Nature school settings provide opportunities for experiential learning across many developmental domains. This study focused on an afterschool nature program in Santa Cruz County, California, which serves kindergarten through fifth grade students. The study was designed as a pilot to both learn about the program's effectiveness and to test the feasibility of methods for sustained program evaluation. The study showed that the program produced positive and statistically significant results for most developmental areas and that teachers considered most effective those lessons that engage multiple developmental domains. Future program assessments should examine the number of developmental domains lessons engage and should partner with a local university or expert for periodic in-depth evaluation.
Efficiency-Prioritized Droop Control Strategy of AC Microgrid

Operation efficiency is one of important concerns for power conversion system. Efficiency issue of microgrids with multiple paralleled inverters has been paid slightly concerns. Therefore, this article presents an efficiency analysis method of microgrid in system level and an efficiency-prioritized droop control strategy to improve operation efficiency of microgrids under different load profiles. Efficiency model of microgrid is first established to reveal time-varying efficiency characteristic under different load profiles. Then, optimum solution of efficiency model is derived by Lagrange multiplier method, and optimum conditions to capture maximum efficiency are obtained. Furthermore, an efficiency-prioritized droop control strategy is proposed to improve operation efficiency according to the established efficiency model. In addition, stability analysis of the proposed droop controller is performed, from which the guideline for controller design is given. The simulation and experimental results are provided to validate the proposed efficiency-prioritized droop control strategy. The proposed droop control strategy is able to improve overall efficiency of microgrid under different load profiles, which also preserves advantages of the conventional droop control strategy.
Understanding the influenza vaccine as a consumer health technology: a structural equation model of motivation, behavioral expectation, and vaccine adoption

ABSTRACT Background: While the flu vaccine is a consumer health technology, little is known about whether vaccine adoption can be explained through the lens of technology acceptance frameworks such as the unified theory of acceptance and use of technology (UTAUT). Based on the social cognitive theory and UTAUT, we aimed to examine the relationship between motivation, behavioral expectation, and behavior in the flu vaccine adoption context. Method: An online survey was completed by 306 college students. Structural equation modeling (SEM) was used to examine the associations among motivation, behavioral expectation, and vaccine adoption. Results: Among the 306 participants, nearly one-third of them adopted the flu vaccine annually. The results of SEM showed a good model fit and revealed that motivation was positively associated with behavioral expectation, which in turn was positively correlated to flu vaccine adoption. Motivation was not significantly associated with flu vaccine adoption. Behavioral expectation completely mediated the relationship between motivation and flu vaccine adoption. Conclusion: Findings show that the relationship between motivation and vaccine adoption is completely mediated by behavioral expectation. To increase vaccine adoption rates in young adults, interventions focusing on boosting motivation and cultivating positive behavioral expectations are warranted.
Evaluation of Cardiovascular Risk and Blood Pressure Parameters in Patients with Bronchial Asthma and Co-Existent Chronic Obstructive Pulmonary Disease

The combination of arterial hypertension, asthma and COPD has a significant prevalence in clinical practice. The presence of hypertension contributes to the growth of severity of asthma-COPD overlap (ACO), the worst prognosis and a high risk of cardiovascular complications. Coexistence of diseases changes the course of each of them, contributes to the early formation of complications and creates certain difficulties for therapy.The aim of work was to investigate the factors of cardiovascular risk, as well as the arterial pressure indicators of patients with ACO.Patients. 140 patients with ACO with an average forced expiratory volume for the first second (FEV1) (59.0 ± 1.4)% and the ratio of forced expiratory volume in the first second to the forced vital capacity of the lungs (FEV1 / FVC) (53.6 ± 0.8)%. Methods. All the patients underwent measurement of body weight and height, measurement of office systolic blood pressure (SBP), diastolic blood pressure (DBP), 24-hour ambulatory blood pressure monitoring (ABPM), biochemical blood test, coagulogram, assessment of total cardiovascular risk on a SCORE scale, the risk of cardiovascular complications on QRISK2 scale, the risk of developing diabetes mellitus (DM) on QDiabetes scale.Results. Patients with ACO had some pathological changes in blood pressure. Also, these patients had a significant overload with arterial pressure. Also, in these patients, the diurnal index (DI) of SBP and DI DBP were significantly reduced relatively to normal values.Patients with ACO predominantly belonged to the group of moderate risk of fatal cardiovascular events in 10 years (3.83%). The QRISK2 is quite significant, and is more than 15%. There is also a fairly significant risk of developing DM (more than 13%). A higher concentration of inflammational markers was revealed in ACO patients with more severe bronchial obstruction (significant increase in C-reactive protein and fibrinogen with increased bronchial obstruction). ACO patients from subgroups GOLD 1 and GOLD 2 predominantly belonged to the group of moderate risk, and patients from the GOLD 3.4 subgroup predominantly had a high risk of developing fatal cardiovascular events over the next 10 years (according to the SCORE scale). The QRISK2 scale risk was also moderate in the first two subgroups and high in patients with severe bronchial obstruction (GOLD 3,4). Conclusions. In patients with a combination of asthma and COPD, significant cardiovascular comorbid pathology, a high prevalence of arterial hypertension, a high degree of overload with arterial pressure were found. Significant violations of the variability of blood pressure were also revealed. In this category of patients, a moderate risk of developing fatal cardiovascular events, as well as the development of diabetes within the next 10 years is also determined. Even more significant violations of blood pressure and high rates of cardiovascular risk were detected in patients with a combined pathology with a higher degree of bronchial obstruction.