Miracle-dz/UniFAR-FTUs huggingface dataset:
EGAN: Generatives Adversarial Networks for Text Generation with Sentiments

: In these last years, communication with computers has made enormous steps, like the robot Sophia that sur-prised many people with their human interactions, behind this kind of robot, there is a machine learning model for text generation to interact with others, but in terms of text generation with sentiments not many investigations have been done. A model like GAN has opportunities to become an excellent option to attack this new problem because of their discriminator and generator competing for search the optimal solution. In this paper, a GAN model is presented that can generate text with different emotions based on a dataset recompiled from tweets labeled with emotions and then deployed in an NAO robot to speak the text in short phrases using voice commands. The model is evaluated with different methods popular in text generation like BLLEU and additionally, a human experiment is done to prove the quality and sentiment accuracy.
Chemical Composition and Repellent Activity of Methyl Cinnamate-Rich Basil (Ocimum basilicum) Essential Oil

Basil (Ocimum basilicum L.) is an important culinary herb and essential oil source widely recognized worldwide. The oil of the plant is beneficial for medicinal uses, and it has many biological activities such as insect repellent, larvicidal, and bactericidal. This study aimed to investigate basil's essential oil for its chemical composition and repellent activity. The essential oil of basil was extracted from fresh leaves by steam distillation method, and the chemical composition of the oil was determined by using GC/MS. Also, the repellent activity of the oil was tested against American cockroaches. Ebeling Choice-Box test with a little modification used in repellence test. The obtained results of chemical composition revealed that the amount of the oil contained forty-one chemical constituents (~97.1%); the major constituents were methyl cinnamate (25.3%), linalool (19.1%) and estragole (12.3%) as the major oxygenated monoterpenes. While α-bergamoten (5.3%), germacrene (4.6%), γ-cadinene (2.8%), and β-elemene (2.4%) were the main compounds in sesquiterpene hydrocarbons. Whereas, in oxygenated sesquiterpenes, Tau-cadinol (4.3%) was an important compounds and ocimene the highest compound in monoterpene hydrocarbons. The obtained results also indicated that the essential oil had good activity against the P. American, at a 100% concentration of oil; the repellence reaches 100% after 1 h. The IC50 and IC90 values of basil essential oil against P. Americans were 53.0 and 83.0%, respectively. The major compound methyl cinnamate which exists in basil essential oil is a very important compound and could be used in a wide area of industrial applications as repellent products, medicinal products, and cosmetics.
Navigating feminist and biomedical conceptual frameworks in educational interventions for eating disorders: Spanish educators’ understandings of the causes and treatment of eating disorders

The biomedical view of eating disorders (EDs) dominates in their classification and treatment regardless of the importance of sociocultural factors in EDs. Critical feminist approaches to EDs try to relate them to oppressive situations, disempowerment and the construction of gender. Educational interventions with people with EDs may be an alternative to biomedical approaches, giving them opportunities to tell their stories, listen to themselves and take control of their lives. This article presents a thematic analysis of semi-structured interviews with professionals who carry out educational interventions for people with EDs. Findings show that the biomedical description and treatment of EDs remain unchallenged and recognising client voice may be a problem, even in educational interventions. Also, the potential negative consequences of the rigid control of the clients’ lives seem to be ignored. Feminist approaches to EDs are acknowledged but do not seem to guide any intervention. Sociocultural critical stances that would recognise the coherence or the transitions between what is considered as healthy and sick eating also seem to be lacking.
Semantic Segmentation of Dental Point Cloud Based on Pointnet ++

: Using point cloud to store three-dimensional dental model and realize automatic segmentation of tooth boundary will significantly improve the measurement efficiency of arch length, which is of great significance for the measurement of dentition crowding and the formulation of subsequent corresponding correction plans. With the help of the laser scanning model of dental gypsum, it is transformed into point cloud data, and the deep learning network of local fine features and global features is carried out for the dental model to realize the accurate segmentation and extraction of each tooth boundary, so as to assist in measuring the due length of dental arch and the existing length of dental arch. This paper builds a model based on pointnet ++ network structure and tests it with the data set constructed in this paper. The eval point accuracy is 0.719, which has high accuracy and effectively realizes the accurate segmentation of teeth.
Microbial degradation for the remediation of soils contaminated by crude oil in Peru: A systematic review of the literature

In this research, a systematic literature review is carried out whose objective is to identify, compare and analyze the main fundamentals to be considered in order to face the problematic of remediation of soils contaminated by crude oil in order to establish and achieve a high efficiency of this. This work was elaborated through a comprehensive analysis of the various suitable scientific articles that provide a more comprehensive basis in relation to what is discussed in this research, taking as a basis the results that were optimal in the remediation of soils in terms of their various experiments made that were successful in the realization. Therefore, finally, it is obtained that the various technologies used for the remediation of the contaminated soil should not be treated only at the laboratory level but also at the field level due to the fact that there is a great gap in the treatment of the soil due to the conditions and variables that change significantly, thus reducing their remedial application in contaminated soil, presenting a minimal environmental impact and high investment costs in large-scale projects.
The impact of FTAs on export duration: Evidence from China’s agricultural firms

A growing body of literature has emerged on the links between free trade agreement (FTA) and agricultural export margins. As a key component of intensive margins, export survival and duration play essential roles in long-term and sustainable export growth. We investigated the impact of FTAs on agricultural export duration from the perspective of firm-destination pair. Based on highly disaggregated firm-level panel data of Chinese agricultural exporters covering the period of 2000–2016, we applied the proper survival method to empirically analyze the effect of FTA on export duration and survival. The results identify dynamic export stylized facts among firm-destination country pairs: although most of the agricultural firm-destination export relations demonstrated longer duration than those of other industries in China, they were still short-lived. Most importantly, we confirmed that FTA produced two opposite effects: Compared to non-FTA partners, the FTA membership role helps extend the length of export duration for agricultural export relation in general. However, for newly created relations, the implementation of FTA increased the hazard rate of export failure and shortened the length of duration. Our results cast a new light on firm-level export survival issue and FTA policy, and provide implications for both agricultural exporters and policymakers.
The Mediator Role of Self-Compassion in the Relationship between Self-Concept and Communication Skills in Emerging Adults

This study aimed to examine the mediator role of self-compassion in the relationship between self-concept and communication skills of emerging adults, using a correlational research survey method to survey the impressions of 206 university students from various institutions across Turkey. The respondents were asked to fill out Social Comparison Scale, Self-Compassion Scale, and Communication Skills Scale to reveal that self-compassion partially mediated the relationship between self-concept and communication skills. Bootstrapping also showed that the indirect effect of self-concept on communication skills through self-compassion was significant. Individuals between adulthood and adolescence were found to perform the tasks expected of adolescence and ensure quality and satisfaction in life after graduation.The results revealed the connection between strong communication skills and positive self-concept and the fact that this connection can be addressed through self-compassion. Given that the most common reasons for university students to apply for psychological counseling concern problems around self-concept and communication/socialization, the inclusion of psycho-educational content in the concept of self-compassion in programs related to communication skills, using methods such as self-compassion awareness exercises can make a significant contribution in practice.
Comparison of Estimates of Hardwood Bole Volume Using Importance Sampling, the Centroid Method, and Some Taper Equations

Various taper systems and the centroid method were compared to unbiased volume estimates made by importance sampling for 720 hardwood trees selected throughout the state of West Virginia. Only the centroid method consistently gave volumes estimates that did not differ significantly from those made by importance sampling, although some taper equations did well for most species. North. J. Appl. For. 19(3):141-142.
Fast Pyrolysis of Biomass with a Concentrated Solar Power: a Review

Indonesia's biomass energy potential is estimated at around 49,810 MW and is very adequate for the development go renewable energy. An example of a biomass conversion technique is pyrolysis which converts biomass into bio-oil. The optimum temperature for the pyrolysis process is 300-600 0C. Parameters that affect the pyrolysis process such as pretreatment of the material, moisture content and particle size of the material, the composition of biomass compounds, the effect of temperature, heating rate, gas flow rate, type of pyrolysis, and pyrolysis reactor. This is a thermochemical technique in which biomass waste is converted into solid fuel (char), producer gas (syngas), and liquid (bio-oil) without oxygen in a reactor. This article contains a comprehensive review of biomass conversion techniques to bio-oil using the solar energy-based fast pyrolysis method. Furthermore, the exposure used was based on the publication source, year, origin country, research methodology, and focus area. Most research has been empirical and mainly focused on fast pyrolysis and its influencing factors. There are several studies, information, and research recommendations described in this article.
On the elimination of nuisance parameters in statistical problems

Consider a family of the distributions We characterized by the probability densities t(x, 0) with respect to a dominating measure u(x) on the as-algebra of a measurable space (9C, a) with a parameter 0 e Q. Later on SC C En will be a parallelepiped of the n-dimensional Euclidean space, a the Borel a-algebra; Q C E&, in general, a compact in the s-dimensional Euclidean space, t(x, 0) being a function continuous with respect to 0 for a fixed x, and for a given 0-almost everywhere continuous with respect to ,u(x), the Lebesgue measure. We shall consider the problems of hypothesis testing and unbiased estimation. The first class of problems will be formulated as follows. Let ll,(0), * * *, WI,(0) be continuous functions of 0 e Q C E,; r < s. The hypothesis Ho to be tested is composite and consists of the equations
Burnout in Secondary School Teachers: The Contribution of the Work Environment

Burnout can be defined as a distressing psychological state that an individual experiences from extreme and prolonged job stress. The present study explores the work climate factors contributing to teacher burnout at secondary schools in Bangladesh. A cross-sectional online survey was used to collect data from 300 teachers. Maslach Burnout Inventory- Educators Survey MBI-ES and Perceived Work Climate Survey (PWCS) survey were used to measure burnout and perception of work climate. The results from the multiple regression analysis revealed 3 three work climate factors: Innovation, Professional growth, and Recreation, which significantly influence at least one of the three components of teacher burnout and the overall burnout score. The study has implications for understanding the burnout-inducing factors and ensuring a better work climate for teachers in Bangladeshi schools.
Sustainable Application of Microwave Assisted Extracted Tea Based Tannin Natural Dye for Chemical and Bio-Mordanted Wool Fabric

ABSTRACT Environmental issues are rising day by day in the global community due to the cumulative effects of hazardous effluent load and due to the introduction of biological active natural products into all aspects of life. In this study, the waste tea-leaves-based tannin natural dye has been extracted under the influence of microwave treatment and employed onto bio-mordanted wool fabric. For extraction of dye, microwave (MW) irradiation up to 6 min has been employed and for improvement in color strength, bio-mordants in comparison with chemicals mordants. It has been found that acidic extract of tea leaves after MW treatment for 6 min has given excellent color depth (K/S) on MW treated wool at 80°C. Using bio-mordants, it has been found that 4% of acacia extract, 1% of pomegranate extract and 5% of turmeric extract as pre bio-mordant, whereas 5% of acacia and 2% of pomegranate and turmeric as post bio-mordants have given excellent color strength, whereas in comparison, ferrous sulfate (2%) has given excellent results. It has been concluded that microwave treatment as an environmentally sustainable tool has not only improved the color strength of tannins dye onto wool fabric but also with the addition of bio-mordants has made the process more sustainable.
Motion Analysis of the Extensor Carpi Ulnaris in Triangular Fibrocartilage Complex Injury Using Ultrasonography Images

The subsheath of the extensor carpi ulnaris (ECU) tendon, a component of the triangular fibrocartilage complex (TFCC), is particularly important as it dynamically stabilizes the distal radioulnar joint. However, the relationship between TFCC injury and ECU dynamics remains unclear. This study aimed to analyze ECU movement and morphology using ultrasonography (US) images. Twenty wrists of patients with TFCC injury, who underwent TFCC repair, were included in the injury group, and 20 wrists of healthy volunteers were in the control group. For static image analysis, curvature and linearity ratios of the ECU in US long-axis images captured during radioulnar deviation were analyzed. For dynamic analysis of the ECU, the wrist was moved from radial deviation to ulnar deviation at a constant speed, and the velocity of the tendon was analyzed using particle image velocimetry. The static analysis showed that the ECU tendon was more curved in ulnar deviation in the injury group than in the control group, and the dynamic analysis showed that only vertical velocity toward the deep side during ulnar deviation was higher in the injury group. These results suggest that TFCC injury caused ECU curvature during ulnar deviation and increased the vertical velocity of the ECU during wrist deviation.
Development and Validation of a Coronary Heart Disease Risk Prediction Model in Snorers with Hypertension: A Retrospective Observed Study

Purpose To develop and validate a risk prediction model for coronary heart disease (CHD) in snorers with hypertension, including traditional and new risk factors. Patients and Methods Twenty factors were evaluated in the records of 2810 snorers with hypertension. Training (70%) and validation (30%) sets were created by random allocation of data, and a new nomogram model was developed. The model’s discrimination and calibration were measured by calculating the area under the receiver operating curve (AUC) and creating calibration charts. The performance of the nomogram model was compared with that of the Prediction for ASCVD Risk in China (China-PAR) and Framingham models by decision curve analysis. An optimal cutoff point for the risk score in the training set was computed to stratify patients. Results In the nomogram model, the AUCs for predicting CHD at 5, 7 and 9 years in the training set were 0.706 (95% confidence interval [CI] 0.649–0.763), 0.703 (95% CI 0.655–0.751) and 0.669 (95% CI 0.593–0.744), respectively. The respective AUCs were 0.682 (95% CI 0.607–0.758), 0.689 (95% CI 0.618–0.760) and 0.664 (95% CI 0.539–0.789) in the validation set. The calibration chart showed that the predicted events from the nomogram score were close to the observed events. Decision curve analysis indicated that the nomogram score was slightly better than the Prediction for ASCVD Risk in China (China-PAR) and Framingham models for predicting the risk of CHD in snorers with hypertension. A cutoff point was identified for being CHD-free (a nomogram score of ≤121), which could be helpful for the early identification of individuals at high-risk of CHD. Conclusion The nomogram score predicts the risk probability of CHD in snorers with hypertension at 5, 7 and 9 years, and shows good capability in terms of discrimination and calibration. It may be a useful tool for identifying individuals at high risk of CHD.
Geographical distribution and resistance level to chlorimuron of
 Amaranthus
 spp. populations in the main soybeans producing regions of Brazil

: Background: Species of Amaranthus genus are common in agricultural areas of Brazil. Such weeds are problematic, and they bring complexity to the management mainly due to herbicide resistance. Thus, the monitoring and mapping of chlorimuron-resistant Amaranthus spp. is necessary to detect resistance in different locations of Brazil. Objective : Elaborate discriminating dose of distinction between Amaranthus spp. populations that are susceptible and resistant to chlorimuron and monitor the resistance dispersal throughout five crops. Methods : 33 pigweed populations from the main grain producing properties in Brazil by means of dose-response curves were evaluated. For the D dose, chlorimuron dose of 20 g ha -1 ai was considered. Once the discriminating dose was identified, a monitoring screening of the dispersal of resistance of Amaranthus spp. to chlorimuron was conducted with 226 samples between the 2016 and 2020 crops. Results : The discriminating dose (“base line”) considered ideal to control susceptible plants was 20 g ha -1 of chlorimuron. Among 226 pigweed samples evaluated in the five years of monitoring, 74% of populations were considered susceptible (S), while those classified as resistant (R) and segregating (r) did not exceed 26.0%. Conclusions : By comparing susceptible biotypes of Amaranthus spp. with international scientific literature standards and leaflet averages, it could be safely concluded that the discriminating dose of chlorimuron is 20 g ha -1 . Resistance of Amaranthus spp. to chlorimuron in Brazil is present in the main soybean producing regions evaluated, with a frequency of 26% of the total samples evaluated.
Predictive Ability of Financial Ratio to Corporate Bankruptcy: An Empirical Analysis

—Business failure is the most serious financial dilemma and attracted high attention from market participants[4]. Based on the research that is widely explored by related experts and scholars and according to the sample of US failed firms and non-failed firms in 2009 and 2019 selected from the dataset of WRDS, this paper uses financial ratios from the public financial statements of listed companies to conduct a study on the prediction of the probability of company bankruptcy.The analysis shows that some financial ratios, such as the ratios of shareholder equity to total liabilities and net income to total assets, have better predictive capabilities, and that the ratio of sales to total assets may not be an important indicator of predicting corporate insolvency.
Research on The Product Strategy of Online Short-term Rental Platform

— With the rapid development of the Internet economy, online short-term rent has become more and more people's first choice for travel. However, the online short-term rental industry has a short history of development and lacks normative service standards. It is faced with a series of problems such as legality, security and service guarantee. Therefore, it is an urgent problem to provide customers with more human interest and personalized accommodation experience and to improve customer satisfaction. Through the crawler technology, the establishment of Bayesian network model to explore the main factors leading to low customer satisfaction. The research found that the problems existing in the online short-term rental platform homestay products, including old homestay houses, unreasonable room layout, and so on. This paper will aim at the above problems and put forward the product strategy optimization suggestions.
A SLAM METHOD FOR HANDHELD HEMISPHERICAL VIEW LASER SCANNING SYSTEM

Abstract. In view of the problem that some multi-line light detection and ranging (LiDAR) scans a small field of view in the vertical direction, a framework that uses an integrated handheld hemispherical view LiDAR and inertial measurement unit (IMU) scanning system for simultaneous localization and mapping (SLAM) is proposed. For the structural characteristics of the hemispherical view LiDAR scan lines, a ground segmentation pre-processing module based on seed points is designed. The segmented ground points are downsampled to eliminate redundant vertical constraints. The IMU data and the pre-processed point cloud are performed state estimation via a tightly coupled iterative Extended Kalman Filter (iEKF) to obtain the real-time poses. The detected loop closures provide global constraints for the point cloud map. The factor graph is used to process the back-end optimization incrementally to eliminate the accumulation error of the system. Data from diverse scenes are collected via a prototype system. Both qualitative and quantitative experiments are performed to prove the accuracy and performance of the framework. Experiments show that our framework outperforms the state-of-the-art SLAM methods for the hemispherical view LiDAR-IMU integrated scanning system.
The contribution of government policy and financial security control in Ghana’s mobile money services

Abstract The study looked at how government policies and financial security affect the use of mobile money services. A mixed method was used, with a focus group and survey questionnaires administered. Data was collected from 2041 mobile money users were collected and analyzed using SmartPLS based on the TAM model. Government policy and financial security have impacted users’ decisions to adopt mobile money services in Ghana. Perceived ease of use, and perceived usefulness, have influenced users’ attitudes to adopt mobile money. Again, behavioural intention to use mobile money is directly influenced by user’s attitude. Also, TAM theory has shown to be robust in analyzing affective, cognitive and behavioural issues. The findings will encourage the Ghanaian government, through its agencies, to continue with policies to improve mobile money services. This also demonstrates that citizens will support government policy related to mobile money as long as it is intended to improve the industry. Finally, mobile money services allow the development of the Ghanaian economy’s formal and informal sectors.