Miracle-dz/UniFAR-FTUs huggingface dataset:
Methods for Removing Fractured Endodontic Instruments in Root Canal : A Brief Systematic Review

Introduction: In the scenario of endodontic treatment, fracture of the instrument complicates the endodontic procedure by obstructing debridement, delaying the completion of treatment, and affecting the patient's dental experience. When a file fractures during root canal treatment, several treatment options are available. Fractured endodontic instruments inhibit optimal cleaning and filling of root canals. Objective: To carry out a brief systematic review study to present the main clinical outcomes of different types of techniques for removing fragments of endodontic instruments in root canals. Methods: The rules of the Systematic ReviewPRISMA Platform were followed. The research was carried out from November 2020 to January 2021 and developed based on Scopus, PubMed, and SCIENCE DIRECT. The quality of the studies was based on the GRADE instrument and the risk of bias was analyzed according to the Cochrane instrument. Results: A total of 132 articles were found involving the removal of fragments of endodontic instruments. A total of 80 articles were evaluated in full and 30 were included and evaluated in the present study. It has been found that the probability of successful removal of a fractured instrument is reported to range from 53 to 95%, with more than 80% of fractured instruments being removed by the use of ultrasound. Also, long fragments (0.4 mm) can adsorb ultrasonic energy and hinder its loosening. Nickel-titanium (NiTi) instruments with their pseudo-elasticity, especially the newly developed heat-treated NiTi instruments are more ductile and flexible compared to conventional NiTi2. Conclusion: Fractured instruments can be removed by a variety of methods, such as good ultrasonic tips, microtubule devices, and hemostatic pliers/forceps. Removing a fractured file is associated with considerable risk, and therefore the fragment must be circumvented. A cost-benefit analysis of the treatment should be considered before selecting a definitive treatment for the patient.
Symbiotic relationship of am fungi with root of phyllanthus amarus in western ghats, of tamil nadu

The mutually association between a fungus and root of a higher plants are called as Mycorrhiza, when the fungal hyphae live on root surface is called Ectomycorrhiza and when penetrate the root and grows inside the root tissue is called Endomycorrhiza. The different type of Arbuscular Mycorrhizal fungi (AMF) were evaluated for the symbiotic relationship with Phyllanthus amarus in Western Ghats. Glomus fasciculatum, Gigospora margarita, etc., are isolated in the forest rhizosphere soil. In the presence of AMF in root tissues generally had greater plant height, biomass, stem diameter, number of leaves and phosphorus content where rich in amount compared to other plant species.
Temperature-Modulated Pyroelectricity Measurements of a Thin Ferroelectric Crystal With in-Plane Polarization and the Thermal Analysis Based on One-Dimensional Layer Models

A temperature-modulated pyroelectricity measurement system for a small single crystal is developed and applied to standard sample measurements performed on a thin single crystal of lithium niobate. The modulation measurement is based on the AC technique, in which the temperature of the sample is periodically oscillated, and the synchronized pyroelectric signal is extracted using a lock-in amplifier. Temperature modulation is applied by irradiating periodic light on the sample placed in the heat exchange gas. To apply this technique to the transparent reference sample, a commercially available black resin is coated on the sample’s surface to absorb the light energy and transmits it to the specimen. The experimental results are analyzed using a two-layer heat transfer model to verify the effect of the light-absorbing layer as well as the non-contact temperature modulation system.
Grammar guided embedding based Chinese long text sentiment classification

Although the state‐of‐the‐art sentiment classification approaches, such as LSTM and TextCNN, have achieved a good performance on Chinese short text sentiment analysis, the Chinese long text sentiment classification is still a challenge because of the sentiment change problem and the long text structure problem. Therefore, we propose a grammar guided embedding model (GGE) and a novel Chinese long text sentiment classification framework. First, the part‐of‐speech (POS) tags are introduced as the Chinese long text grammar guided information which can help classification approaches to model the Chinese long text structure and the important structure of sentiment change. Second, we proposed a simple GGE training method which considers the combination representation of word sequence and POS sequence. Finally, we proposed a unified framework which combines our novel GGE with TextCNN. Experiment results show that after using GGE, the model outperforms the state‐of‐the‐art approaches. At the same time, we also found that the GGE achieves the model converge faster, that is, it can achieve better results than without GGE when there is only a small amount of training data. Thus, we believe that the GGE can help machines better understand human language sentiment expression structure.
Mutasynthesis of Medicinally Significant Natural Products through the Manipulation of Gene Governing Starter Unit

Most of the biologically active microbial natural products and their analogs bear a complex molecular architecture. The semisynthetic modifications and stereospecific diversity-oriented synthesis of these native natural products to generate analogs are difficult and time-consuming. Mutasynthesis is a powerful tool that utilizes the microorganism's genetic and metabolic engineering skills to produce derivatives of complex natural products of microbial origin. Mutasynthesis is based on the cellular uptake of chemically modified intermediates from the culture media and their addition to the secondary metabolism by mutant microorganisms. This review wouldf describe the importance of mutasynthesis in the generation of complex microbial secondary metabolites. We have covered a literature search on mutasynthesis over the last ten years (2011 - 2020) in this review.
Construction of a Lymph Node Metastasis Nomogram Prediction Model Based on Dual-Energy CT Radiomics of Gastric Cancer Lesions

Hong-li CUN The Third A liated Hospital of Kunming Medical University: Yunnan Cancer Hospital Qian-ting DUAN The Third A liated Hospital of Kunming Medical University: Yunnan Cancer Hospital Ying-ying DING The Third A liated Hospital of Kunming Medical University: Yunnan Cancer Hospital Da-fu Zhang The Third A liated Hospital of Kunming Medical University: Yunnan Cancer Hospital Ling YANG The Third A liated Hospital of Kunming Medical University: Yunnan Cancer Hospital Hua-xiu LI The Third A liated Hospital of Kunming Medical University: Yunnan Cancer Hospital Na WANG The Third A liated Hospital of Kunming Medical University: Yunnan Cancer Hospital Lei SHI Siemens Healthcare GmbH Guan-shun Wang (  wgsh602@vip.163.com ) The Third A liated Hospital of Kunming Medical University: Yunnan Cancer Hospital
Modelo teórico de empresarialidad rural y su influencia en la competitividad de las mipymes

This study proposes a theoretical model of rural entrepreneurship that is analyzed through the national model for competitive MSMEs presented by the Instituto para el Fomento a la Calidad Total [IFCT] (2010). The objective is to determine if strategic planning contributes to the entrepreneurship of rural companies, as well as to measure the degree of influence that entrepreneurship has on the activities of strategic alliances, relationships with their clients and human resources. The method used was quantitative, non-experimental, cross-sectional. The study subject was the MSMEs from the rural environment of the Mexicali Valley, Baja California, Mexico. For the statistical analysis, the second generation multivariate method called partial least squares structural equation modeling (PLS-SEM) was applied. The structural model presented as a result that the dependent variable Entrepreneurship is influenced by the independent variable Strategic Planning, that is, the actions of market strategies, infrastructure, innovation of new products and markets, as well as business image, do influence the process of entrepreneurship, particularly in the succession plan, company-family communication and the integration of workers-family. Similarly, when family businesses in rural areas develop their entrepreneurship, this exerts influence on the generation of strategic alliances, relationships with their clients and their integration of human resources.
Spectroscopic Investigation of the Selective Interaction of Mercuric and Cupric Ions with a Porphyrin Active Layer

The mechanisms of interaction between a tetrapyridyl-substituted porphyrin and Hg(II) and Cu(II) ions have been investigated by means of different spectroscopic techniques. Reflection spectroscopy investigations of the porphyrin Langmuir floating film and by polarization modulation infrared (IR) reflection adsorption spectroscopy at the air–water interface provided evidence of the active role played by the pyridyl substituents of the porphyrin in the interaction with the analyte. Such behavior seems to be very selective toward Cu2+ and Hg2+ ions, as demonstrated by the IR measurements in difference mode. UV–vis and IR characterizations suggest a deeply different interaction between the active molecules and the two analytes. In fact, the interaction of Hg2+ ions with the tetrapyrrolic derivative molecules involves both the pyridyl substituents and the central bite of the ring. On the other hand, in the case of Cu2+ ions, spectroscopic evidence suggests that the cupric ions interact with only the porphyrin .
Data Quality Analysis based Machine Learning models for Credit Card Fraud Detection

Misrepresentation of money is a developing issue in monetary business with far-reaching consequences and keeping in mind that many processes have been found. A data quality management with data mining has been effectively applied to data sets to mechanize the investigation of massive amounts of complex information. Data mining has likewise played a notable role in identifying credit card fraud in online exchanges. Fraud detection in credit card is a data quality management issue that considered under data mining, tested for two important reasons — first, the profiles of ordinary and false practices habitually change, and also because of the explanation that charge card fraud information is exceptionally slow. This research paper examines the performance of Decision Trees, Logistics Regression, and Random Forest relies strategically on profoundly skewed credit card fraud data. The dataset of credit card transaction is sourced from Kaggle (a publically accessible dataset repository) with 284,807 transactions. These methods are applied to raw data values and data preprocessing techniques. Assessment of the performance of techniques depends on accuracy, sensitivity, specificity, precision, and recall. Results indicate the optimal accuracy for the decision trees, logistics regression, and random forest classifiers with 90.8%, 98.5%, and 99.1% respectively.
Indices of stress in exercising horses fed diets containing varying amounts of omega-6 and omega-3 polyunsaturated fatty acids

Indices of Stress in Exercising Horses Fed Diets Containing Varying Amounts of Omega-6 and Omega-3 Polyunsaturated Fatty Acids. (August 2005) Alicia Dawn Howard, B.S., Texas A&M University Chairs of Advisory Committee: Dr. Gary D. Potter Dietary omega-3 polyunsaturated fatty acids have shown substantial benefits in humans including lowered serum cholesterol, blood pressure and indices of stress. The caloric and extracaloric benefits of feeding fat supplemented diets to performance horses are well documented (Webb et al., 1987; Meyers et al., 1989; Julen et al., 1995). However, omega-3 polyunsaturated fatty acids have not been studied to any great extent. This study was conducted to determine the efficacy of feeding omega-3 fatty acids on indices of stress and serum cholesterol in horses. Nine threeand four-year old horses were assigned to diet treatments according to sex, age and athletic ability. Concentrate diets consisted of: control (A), fatsupplemented diet with corn oil (B) and fat-supplemented diet with extruded/expelled soybean oil (C; N-3). Overall, heart rates were lower in horses fed the fat-supplemented diets compared to the control diet. On reining and cutting exercise days, heart rates were lower (P<.05) in horses fed fat-supplemented diets vs. the control diet. There were no differences (P>.05) in heart rates during exercise on reining and cutting days between horses fed the two fat-supplemented diets. Recovery heart rates following the SET from
Unified Power Converter Based on a Dual-Stator Permanent Magnet Synchronous Machine for Motor Drive and Battery Charging of Electric Vehicles

An electric vehicle (EV) usually has two main power converters, namely one for the motor drive system and another for the battery-charging system. Considering the similarities between both converters, a new unified power converter for motor drive and battery charging of EVs is propounded in this paper. By using a single unified power converter, the cost, volume, and weight of the power electronics are reduced, thus also making possible a reduction in the final price of the EV. Moreover, the proposed unified power converter has the capability of bidirectional power flow. During operation in traction mode, the unified power converter controls motor driving and regenerative braking. Additionally, during operation in battery-charging mode, with the EV plugged into the electrical power grid, the unified power converter controls the power flow for slow or fast battery charging (grid-to-vehicle (G2V) mode), or for discharging of the batteries (vehicle-to-grid (V2G) mode). Specifically, this paper presents computer simulations and experimental validations for operation in both motor-driving and slow battery-charging mode (in G2V and V2G modes). It is demonstrated that the field-oriented control used in the traction system presents good performance for different values of mechanical load and that the battery-charging system operates with high levels of power quality, both in G2V and in V2G mode.
Effects of ball properties on throwing in young team-handball beginners

Throwing a ball is a primary skill in team-handball and can be directly influenced by the properties of different types of balls. Therefore, the use of different balls (i.e., methodic ball) recommended by the handball federations (e.g., IHF) and the education guidelines, are important in teaching throwing. Previous studies have shown that movement patterns and throwing velocity can be influenced by different ball types and sizes. However, the influence of these factors on throwing accuracy has not been investigated in detail yet. This study aims to replicate the findings of previous studies on increasing throwing velocity in children by comparing the use of a soft methodic ball with a size 0 handball. Furthermore, this study investigates the influence of these balls on throwing accuracy. In an experimental study, participants (10-years of age) threw a soft methodic ball and a size 0 ball at target areas in a handball goal. For all the throws, throwing velocity and accuracy were measured. Commensurate with previous research, throwing velocity was higher for the soft methodic ball compared to a size 0 ball. No difference was found in accuracy, although, it is worth mentioning that the participants were only experienced in throwing using the size 0 ball. Moreover, only one-third of the children favored throwing with a size 0 ball, which is what they are used to in training and competition. The results of our study, therefore, confirm that using soft methodic balls additionally, positively influences the throwing velocity and has no negative effect on the accuracy in throwing among young handball beginners.
Triptolide Inhibits the Activation of NLRP3 Inflammasome by Inhibiting NF-κB Pathway and Improves Myocardial Fibrosis

ObjectiveTriptolide (TPL) is identified to be involved in the treatment for myocardial fibrosis (MF). This study investigated the mechanism of TPL in MF in rats and observed its effect on NLRP3 inflammasome signaling pathway.Materials and MethodsThe MF rat model was established by subcutaneous injection of isoproterenol (ISO), and treated by subcutaneous injection of TPL. After modeling for 1 week, the cardiac function of rats was evaluated, including LVEF, LVFS, LVES, LVED LVIDs and LVPWs. The HMI and LVMI were measured. The expressions of ANP, BNP, inflammatory related factors (IL-1β, IL-18, TNF-α, MCP-1, VCAM-1), and NLRP3 inflammasome factors (NLRP3, ASC, caspase-1) in rats were detected. HE staining and Masson staining were used to observe myocardial cell inflammation and fibrosis of rats.ResultsLVED, LVES, LVIDs and LVPWs of MF group were significantly upregulated, LVEF and LVFS were significantly downregulated, HMI and LVMI were upregulated, while TPL treatment reversed these trends; TPL treatment downregulated the tissue injury and improved the pathological damage of MF rats. TPL treatment downregulated the levels of inflammatory factors and fibrosis factors, and inhibited the activation of NLRP3 inflammasome. Activation of NLRP3 inflammasome or NF-κB pathway reversed the effect of TPL on MF.ConclusionsTPL inhibited the activation of NLRP3 inflammasome by inhibiting NF-κB pathway, and improved the degree of MF in MF rats.
Predictors of the Psychosocial Health of Children and Adolescents With Obesity and Overweight: the Underappreciated Role of Physical Fitness

Background: Childhood and adolescent obesity impacts on various dimensions of psychosocial health, including health-related quality of life (HRQOL) and personal self-concept. Detecting inhibitory and promotive factors of psychosocial health could contribute to the development of more effective obesity management. In this context, the role of physical fitness among the predicting variables of psychosocial health has rarely been investigated.Objective: To identify relevant predictors of weight-specific HRQOL and self-concept in the context of childhood and adolescent obesity.Methods: The sample comprised cross-sectional data of 241 children and adolescents with obesity and overweight (12.5 ± 2.1 years; 51.9% girls) and their parents. Information on demographics and active/inactive lifestyle were assessed via parent report. Anthropometric data and physical fitness in relation to body weight (W/kg) were measured. Children and adolescents completed standardized questionnaires (GW-LQ-KJ, FSK-K) to assess HRQOL and five dimensions of self-concept (scholastic, social, physical, behavioral, and self-worth). Results: Backward multivariable linear regression analysis showed that three subdomains of self-concept (physical, behavioral, self-worth) were negatively associated with increasing BMI Z-scores, age, physical activity (hours/week), low parental educational levels, or migration background. HRQOL, however, was only significantly related to relative physical fitness (W/kg; β=8.02, P<0.05) as were scholastic (β=8.92, P<0.05) and social self-concept (social β=8.68, P<0.05). Conclusion: The results add physical fitness as a relevant predictor of HRQOL and self-concept of children and adolescents with obesity and overweight. Therapeutic and preventive weight management strategies should therefore consider physical fitness as an important additional outcome measure of psychosocial health.
Soft Law Engagements and Hard Law Preferences: Comparing EU Lobbying Positions between UN Global Compact Signatory Firms and Other Interest Group Types

Abstract Although corporate social responsibility (CSR) has gone “mainstream,” the relationship between CSR and corporate political activities (CPA) has received little scholarly attention. This is problematic because firms potentially have a more sizable impact through their lobbying activities for socially and environmentally beneficial (or unbeneficial) public policies than through their own operations. This paper investigates if, and how, UN Global Compact signatory firms differ in their policy preferences on key EU proposals compared to other interest groups. To capture state-of-the-art data on firms’ policy preferences, I draw from the INTEREURO database, which includes firms’ lobbying positions on forty-three directives and twenty-seven regulations covering 112 public policy issues in the European Union. Statistical results show that Global Compact signatory firms significantly lobby for stricter regulation than non-signatory firms and industry associations, however, their positions are still lower than nonbusiness groups. These results are similar across various public policy issues and suggest that the regulatory preferences of firms’ participating in soft law CSR initiatives are more aligned with stakeholders' interests. This paper contributes to public policy literature exploring the relationship between hard and soft law as well as literature studying the political representation of divergent interest.
The Influence of Person–Job Fit, Work–Life Balance, and Work Conditions on Organizational Commitment: Investigating the Mediation of Job Satisfaction in the Private Sector of the Emerging Market

This study aims to provide critical managerial implications for human resource (HR) practitioners at private-sector organizations from an emerging economy perspective. The study helps to optimize organizational commitment in the assessment of work–life balance, person–job fit, work condition, and the mediation of job satisfaction. It also investigates the influence of certain demographic variables on organizational commitment. The population comprises employees working in private sector organizations across Pakistan. A total of 1100 survey questionnaires were sent to potential respondents; 843 responded, giving a response rate of 77%. SmartPLS 3 software and SPSS were used to perform structural equation modeling. The study revealed that work–life balance, person–job fit, and job satisfaction have a positive influence on organizational commitment. Job satisfaction intervenes complementarily with the relationship of work–life balance and person–job fit with organizational commitment, while full mediation of job satisfaction was found for work conditions. Age, female gender, experience with current employee, and total industry experience were positively related to organizational commitment. HR managers at private-sector organizations must strive to provide work–life balance, person–job fit, and better work conditions so that employees are optimally satisfied on the job and exercise strong affective organizational commitment.