Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Administration of Ginger Decil Water on Reduce the Levels of Disminore Pain in Adolescent Women at SMAN 03 Bengkulu City

Dysmenorrhea is pain during menstruation where almost more than 50% of women experience it. Women in Indonesia who experience dysmenorrhea mostly overcome it by taking painkillers which can lead to dependence and negative effects. The purpose of this research is to study the effect of giving ginger water decoction to reducing the level of dysmenorrhea pain in young women in SMAN 03 Bengkulu City. This study uses a quasi-experimental approach with designone Group pre and post-test design. The population in this study were 122 students of SMA Negeri 03 Bengkulu City, grades X and XI who experienced dysmenorrhea. Sampling in this study used a purposive sampling technique of 16 female students. The data used is primary data. Data were analyzed using univariate and bivariate analysis with the Shapiro Wilk test and Wilcoxon Sign Rank test. The results of the study were obtained from 16 samples the average value of pain for the sample group before being given ginger decoction was 4.38 and for the group after being given ginger decoction was 3.38. Analysis results Wilcoxon Sign Rank Test obtained a value of z = -5.85 with a value of p = 0.000 < a = 0.05, so it was found that there was an effect of giving ginger water decoction to reducing the level of dysmenorrhea pain in young women at SMAN 03 Bengkulu City. It is hoped that the school can work together with health workers in providing information about the benefits of ginger water decoction for menstrual pain, so that students' knowledge increases and can reduce dysmenorrhea pain when menstruation occurs.
Demulsification of Remaining Waste (Water In Oil Emulsions) After Removal Of Phenol In Emulsion Liquid Membrane Process

The aim of present work is to study the removal of phenol present in aqueous feed solution by the emulsion liquid membrane technique using kerosene as a diluent, sodium hydroxide as a stripping agent, and sorbitan monooleate (Span 80) as a surfactant. The parameters studied were: surfactant concentration, volume ratio of membrane phase to internal phase, and stirring speed. It was found that more than 98% of phenol can be removed at the conditions were surfactant concentration 2% (v/v), volume ratio of membrane phase to internal phase 5:1 and stirring speed 400 rpm. Maximum phenol extraction efficiency at 7 minutes of process time was observed. It was found that there was a good agreement between the standard kerosene and the upper layer that resulted after the demulsification of the remaining waste by applying centrifuge. Thus, it is possible to reuse this layer to prepare a new emulsion of the membrane phase.
DCPDN: High-Performance Pedestrian Detection Networks for Difficult Conditions

Pedestrian detection is the use of computer vision technology to identify and accurately locate pedestrians in image or video data, which has a strong use value. This technology can be used as the research basis for visual tasks such as person re-identification, human pose estimation and behavior analysis, and can also be applied to industrial fields such as intelligent security, automatic driving and human-computer interaction. However, the problems of low image resolution, blurred appearance, large scale difference of pedestrians, occluded pedestrians and complex background still bring great challenges to the detection performance. To solve these problems, this paper proposes a high-performance pedestrian detection network dedicated to difficult conditions: DCPDN. Firstly, we design an optimized super-resolution reconstruction network to preprocess the image to alleviate the performance damage caused by low-resolution and blurred images. Then, to solve the multi-scale problem in pedestrian detection, we propose a weighted cross-scale feature fusion module, which adopts a hierarchical detection strategy to deal with pedestrian objects of different scales while fully fusing feature maps of different levels. Finally, to solve the occlusion problem that has plagued pedestrian detection for a long time, we design an occlusion processing module based on graph convolutional network, which can effectively use the correlation information between different parts of the human body and promote the feature expression of occluded objects. On the CityPersons dataset, the ${MR}^{-2}$ of the detector is reduced by 6.9%, 19.2%, 8.9%, 1.9%, 3.6% and 14.2%, respectively, corresponding to different partition subsets of R, HO, A, L, M and S. On the Caltech dataset, corresponding to different divisions of R, HO, A, L and S, the ${MR}^{-2}$ of the detector is reduced by 9.9%, 15.8%, 16.3%, 6.8% and 25.8%, respectively. The experimental results show that the performance improvement of the detector is significant on both severe occlusion (HO) and small scale (S) subsets. After testing, the algorithm has strong robustness to occluded pedestrians, and can be easily embedded in other detection frameworks. Our DCPDN is able to compete with the state of the art methods and is especially effective when dealing with the pedestrian detection problem under difficult conditions.
Crossovers between births falls and deaths peaks during the COVID-19 pandemic: the Mexican case

Objective: to describe patterns of crossovers between births and deaths during the COVID-19 pandemic in 2020. Likewise, use vital statistics to measure descents of deliveries by mothers’ ages.Methodology: Official figures are analyzed to identify crossovers. Predictions from a multivariate time series model are employed to estimate the dimension of birth descents in a counterfactual sense.Results: It is suggested that the COVID-19 pandemic is the reason for the anticipated crossover occurrence. The negative trend of births suffers a dramatic fall. However, in some cases, there are recoveries.Limitations: According to official figures, there might be under-recordings of births and deaths due to the availability and access to Register offices.Originality: To identify the COVID-19 impact on the anticipated occurrence of crossovers and birth falls in a country with previous public health problems.Conclusions: It is suggested that the anticipated occurrence of demographic crossovers resulted from the COVID-19 pandemic. The significant fall in the number of births may impact on an accelerated aging in this country.
Effect of Ischemic Preconditioning (IPC) on Recovery of Exercise Performance Following a Bout of Exercise to Volitional Exhaustion

The purpose of the present study was to investigate the effect of ischemic preconditioning (IPC) on the recovery of exercise performance following maximal, incremental exercise. A total of 13 healthy males volunteered to participate, undertaking three experimental trials involving a constant work-rate bout of severe intensity exercise undertaken to the limit of tolerance that was preceded by a 40-min recovery period consequent to a maximal, incremental exercise test. During the recovery period, participants underwent IPC at 220 mmHg, sham IPC (SHAM; 20 mmHg), and passive rest (CON). Exercise tolerance time was higher following IPC as compared to SHAM and CON {199 ± 36 (CON) vs. 203 ± 35 (SHAM) vs. 219 ± 34 (IPC), p = 0.03}. This effect was accompanied by a tendency toward an augmented increase in blood lactate from rest to exercise in IPC compared to SHAM and CON (p = 0.08). There was no effect of IPC on oxygen uptake kinetics or muscle oxygenation as indicated via near-infrared spectroscopy. IPC may therefore have the capacity to augment recovery from prior maximal exercise, but this does not appear to be due to enhancements to oxygen uptake kinetics or muscle oxygenation.
University-level students’ stances, communication of negative emotions, and L2 swearing with respect to EMI during classroom interaction

ABSTRACT This study longitudinally examined university-level students’ stances, communication of negative emotions, and L2 swearing with regard to English-medium instruction (EMI). Sixteen graduate students enrolled in an English-medium course in a university in Korea participated in the study. The research instruments were classroom observations, reflective journal writing, and in-depth, semi-structured interviews. The results indicated that there were three occasions, during small group discussions, on each of which one student articulated her/his language ideologies against EMI and expressed her/his anger in Korean, and swore in English. These occasions occurred due to a student’s opposition to EMI, a student’s opposition to EMI preceded by her own support for it, and a student’s opposition to EMI faced with another student’s support for it, respectively. What affected the occasions included their teacher’s idiosyncratic focus on general vocabulary in addition to subject-specific vocabulary (a factor common to these students), and challenges intrinsic to EMI, face, and the teacher’s excessive academic push.
Variation of antioxidant and antibacterial activities of ethanolic extracts of propolis in three bee-keeping agro-ecological zones of Uganda

Propolis is a resinous plant material collected by bees to defend their colony. This study evaluated the antibacterial and antioxidant activities of ethanolic extracts of Ugandan propolis in three bee-keeping agro-ecological zones. Antibacterial assays were performed on two Gram-positive ( S. aureus and S. pneumoniae ) and two Gram-negative ( E. coli and P. aeruginosa ) bacteria within a concentration range of ~1.6 to 100 mg/ml. Antioxidant assays were conducted spectrophotometrically on the basis of DCPIP reduction and the attendant decrease in absorbance at 605 nm wavelength. All extracts showed antibacterial activity against S. aureus with MICs ranging from 2.8 to 200 mg/ml, but P. aeruginosa displayed susceptibility only for samples from Western Highlands (MIC = 9.5 mg/ml). Of the Gram-negatives, E. coli was the more susceptible organism (MICs 5.7-31.5 mg/ml), but S. pneumoniae was susceptible only to samples from mid northern and Lake Victoria Crescent (MIC 34.6 mg/ml). Samples from Mid Northern region exhibited the highest antioxidant activity (mean ± SD activity equivalent to 20.4±4.3 µg of ascorbic acid per mg of extract), while those from Western Highlands exhibited the lowest (mean ± SD activity equivalent to 8.9 ± 2.5 µg of ascorbic acid per mg of extract). The antibacterial and antioxidant activities of propolis varied within and, more significantly, between the agro-ecological zones. Taken together, these results highlight the potential of Ugandan propolis as an antioxidant and antibacterial agent. Strategic selection of hive localities in zones that offer the best output in propolis should be a priority for bee-farmers.
Optimal Control in Free and Moving Boundary Couplings of Navier-Stokes and Nonlinear Elasticity.

MARTIN, KRISTINA MARIE. Optimal Control in Free and Moving Boundary Couplings of Navier-Stokes and Nonlinear Elasticity. (Under the direction of Lorena Bociu). Free and moving boundary fluid-structure interactions, physical processes in which a deformable or movable solid interfaces with a fluid, are ubiquitous in nature and engineering. Due to their highly nonlinear nature (the domain and boundary equations are nonlinear, and the common boundary is one of the unknowns in the system and has to be determined as part of the solution), they continue to be one of the most challenging topics to date. We consider two variations on PDE-constrained optimization problems governed by a free or moving boundary fluid-elasticity interaction. The challenge of applying optimization tools to free or moving boundary fluid-structure interactions is the proper derivation of the adjoint sensitivity information with correct balancing conditions on the common interface. As the interaction is a coupling of Eulerian (fluid state) and Lagrangian (motion of the solid) quantities, sensitivity analysis on the system falls into the framework of shape analysis. We build upon the sensitivity theory developed in [12, 11, 14] and provide descriptions of the associated adjoint linearized models. The adjoint linear models are necessary in the derivation of optimality conditions for controls, which feed into derivative-based optimization algorithms in free and moving boundary fluid-structure interactions. We derive the optimality conditions along with explicit representations of the gradient of the quadratic cost-functional associated with each problem; the cost function gradient is relevant to subsequent numerical investigations, as its explicit representation provides directions for descent. In the free boundary, steady state case, we provide rigorous justification for the characterization of the optimal control via the cost function gradient, in the form of a comprehensive well-posedness analysis. © Copyright 2018 by Kristina Marie Martin All Rights Reserved Optimal Control in Free and Moving Boundary Couplings of Navier-Stokes and Nonlinear Elasticity by Kristina Marie Martin A dissertation submitted to the Graduate Faculty of North Carolina State University in partial fulfillment of the requirements for the Degree of Doctor of Philosophy
Assessment of Oral Stereognosis and Denture Satisfaction in Old Denture Wearers: A Retrospective Study

OBJECTIVES Stereognosis has been investigated occasionally to predict the prognosis of treatment with complete dentures. This study evaluated oral stereognosis and satisfaction levels in completely edentate patients wearing prostheses for at least three months. METHODOLOGY From November 2014 and January 2016, data from 322 patients' follow-up visits were collected from records of the Prosthodontics department at Liaquat University of Medical and Health Sciences, Jamshoro. Denture satisfaction was assessed using a self-structured proforma, and oral stereognosis was measured using different-shaped objects made from self-cure acrylic resin, kept in the oral cavity without showing them to the patient. The frequency of qualitative variables was determined for data analysis, and a chi-square test was applied. Significant P-values were defined as those less than 0. RESULTSThe male-to-female ratio was 1.2:1, with 50.9% wearing a prosthesis for less than a year and the minimum range being 3-6 years (13.66 %). Only 31 had stereognosis positive but were completely satisfied with their prosthesis, while 85 who were unsatisfied were found to have positive sensory perception. Statistical analysis for all groups shows a p-value of 0.000 for patient satisfaction with denture wear which is statistically significant. Most patients with the least duration of wear found their stereognosis positive and were unsatisfied with the prosthesis and vice versa. The chi-square test shows a statistically significant value for both groups of stereognosis i-e 0.0001. CONCLUSION Patients with the shortest period of wear were found to be more dissatisfied, but their oral perception remained intact, while those with more experience complained less but had reduced stereognosis.
Efficacy and safety of Lenvatinib-based combination therapies for patients with unresectable hepatocellular carcinoma: a single center retrospective study

Background Reports on Lenvatinib-based therapies show promising treatment outcomes for patients with unresectable hepatocellular carcinoma (uHCC). However, the effect and safety of Lenvatinib-based therapies still need to be further studies. Methods This was a retrospective, single-center study on the safety and treatment efficacy of Lenvatinib-based combination therapies for uHCC Patients. The primary endpoints were progression-free survival (PFS) and overall survival (OS). The secondary endpoints were progressive disease (PD), stable disease (SD), partial response (PR), and complete response (CR). Results Of 91 patients, there were 16 females and 75 males with uHCC who received systemic therapies based on Lenvatinib in our center. Forty-six patients (50.5%) received Lenvatinib combined with PD-1 antibody treatment. All these patients also received local therapy with the exception of 2 patients. The remaining 36 patinets received Lenvatinib combined with transcatheter arterial chemoembolization (TACE), 1 patient treated Lenvatinib combined with radiotherapy, 8 patients received Lenvatinib alone. At a median treatment time of 8 months, the objective response rate (ORR) of the entire cohort was 58.2% (53 patients), including 7 patients with CR and 46 patients with PR. 21 patients (23.1%) had SD. The disease control rate (DCR) of all patients was 81.3% (74 patients). However, 17 patients (18.7%) developed PD. The 1- and 2-year cumulative OS rates for the entire cohort were 66.8% and 39.3%, while the corresponding PFS rates were 38.0% and 17.1%, respectively. Univariate and multivariate Cox regression analysis revealed multiple tumor sites to be an independent OS risk factor for uHCC patients (HR=2.204, 95% CI=1.104-4.399, P=0.025). The most frequently reported adverse events in all patients were AST elevation (51.6%), followed by hypertension (33.0%), ALT elevation (26.4%), and decreased appetite (25.3%). After a combination treatment of Lenvatinib-based therapies, 15 patients met the criteria for salvage liver resection and underwent down-staging hepatectomy with a curative intent. The combination of PD-1 treatment was not very effective in improving the prognosis of uHCC patients treated with Lenvatinib combined with TACE. Conclusion Our study demonstrated that a proportive of patients benefited from Lenvatinib-based combination therapies with manageable safety profiles, allowing these patients to undergo downstaging surgery with curative intent.
Analysis of a single server batch arrival unreliable queue with balking and general retrial time

ABSTRACT This paper deals with a batch arrivals queue with general retrial time, breakdowns, repairs and reserved time. Here we assume that customers arrive according to compound Poisson processes. Any arriving batch of primary customers finds the server free, one of the customers from the batch enters into the service area and the rest of them join into the orbit. The primary customers who find the server busy or failed are allowed to balk or are queued in the orbit in accordance with FCFS retrial policy. The customer whose service is interrupted can stay at the server waiting for repair or enter into service orbit. After the repair is completed, the server resumes service immediately if the customer in service has remained in the service position. This model has a potential applications in various fields, such as in the cognitive radio network and the manufacturing systems. By using supplementary variables technique, we carry out an extensive analysis of the considered model. Then, we obtain some important performance measures, stochastic decomposition property of the system size distribution and the reliability indices. Next, by setting the appropriate parameters, some special cases are discussed. Finally, some numerical examples and cost analysis are presented.
Sparsity-inducing variational shape partitioning

We propose a sparsity-inducing multi-channel multiple region model for the efﬁcient partitioning of a mesh into salient parts. Our approach is based on rewriting the Mumford-Shah models in terms of piece-wise smooth/constant functionals that incorporate a non-convex regularizer for minimizing the boundary lengths. The solution of this optimization problem, obtained by an efﬁcient proximal forward backward algorithm, is used by a simple thresholding/clusterization procedure to segment the shape into the required number of parts. Therefore, it is not necessary to further solve the optimization problem for a different number of partitioning regions. Experimental results show the effectiveness and efﬁciency of our proposals when applied to both single-and multi-channel (shape characterizing) functions.
Subclinical hypothyroidism increases insulin resistance in normoglycemic people

Objective To investigate the effect of simple subclinical hypothyroidism (SCH) and type 2 diabetes mellitus (T2DM) combined with SCH on insulin resistance. Design and methods A total of 622 people with newly diagnosed T2DM were selected as the study subjects, and 621 normoglycemic people were selected as control subjects. According to the diagnostic criteria of thyroid diseases, the subjects were divided into a normal thyroid function group and a subclinical hypothyroidism group. Both groups received a physical examination, and blood samples were collected. The measurement indexes included FPG, FINS, OGTT2hPG, OGTT2hINS, HbA1c, TC, TG, HDL-C, LDL-C, TSH, FT3 and FT4. HOMA-IR, HOMA-β, and TFQI (thyroid feedback quantile index) were calculated. Results There was no significant difference in age or sex distribution between the T2DM group and the normoglycemic group (P>0.05). The prevalence of thyroid dysfunction in the T2DM group was significantly higher than that in the normoglycemic group (16.39% vs. 11.27%, P<0.05), and among the different types of thyroid dysfunction, the prevalence of SCH was the highest at 14.95% (P<0.05). There was no significant difference in BMI, waist-hip ratio, blood lipid profile, HOMA-β, and HOMA-IR values between the T2DM with subclinical hypothyroidism group (T2DM+SCH+ group) and the normal thyroid function group (T2DM+SCH- group) (P>0.05). The BMI, waist-hip ratio and HOMA-IR values of the normoglycemic group with subclinical hypothyroidism (T2DM-SCH+ group) were significantly higher than those of the normoglycemic group with normal thyroid function (T2DM-SCH- group) (P<0.05), and there were no significant differences between the T2DM+SCH- and T2DM+SCH+ groups (P>0.05). HOMA-β values were significantly higher in the T2DM-SCH+ group than in the T2DM-SCH-, T2DM+SCH- and T2DM+SCH+ groups (P<0.05). As the TFQI value increased, the body weight, waist-hip ratio, diastolic blood pressure, FPG, OGTT2hPG and HbA1c values gradually increased in the T2DM group and normoglycemic group (P<0.05). HDL-C, FINS, OGTT2hINS and HOMA-β values gradually decreased (P<0.05). Conclusion Subclinical hypothyroidism only increases insulin resistance in normoglycemic people. As the sensitivity of the central thyroid decreases, the risk of developing diabetes increases.
Fault Diagnosis of Wind Turbine Generators Based on Stacking Integration Algorithm and Adaptive Threshold

Fault alarm time lag is one of the difficulties in fault diagnosis of wind turbine generators (WTGs), and the existing methods are insufficient to achieve accurate and rapid fault diagnosis of WTGs, and the operation and maintenance costs of WTGs are too high. To invent a new method for fast and accurate fault diagnosis of WTGs, this study constructs a stacking integration model based on the machine learning algorithms light gradient boosting machine (LightGBM), extreme gradient boosting (XGBoost), and stochastic gradient descent regressor (SGDRegressor) using publicly available datasets from Energias De Portugal (EDP). This model is automatically tuned for hyperparameters during training using Bayesian tuning, and the coefficient of determination (R2) and root mean square error (RMSE) were used to evaluate the model to determine its applicability and accuracy. The fitted residuals of the test set were calculated, the Pauta criterion (3σ) and the temporal sliding window were applied, and a final adaptive threshold method for accurate fault diagnosis and alarming was created. The model validation results show that the adaptive threshold method proposed in this study is better than the fixed threshold for diagnosis, and the alarm times for the GENERATOR fault type, GENERATOR_BEARING fault type, and TRANSFORMER fault type are 1.5 h, 5.8 h, and 3 h earlier, respectively.