Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing an instructional unit on “argumentative essay” for prep year students: An action research in a state university in Turkey

Writing is one of the productive skills for language learners. This study was conducted to design a unit for language students who were enrolled in the School of Foreign Languages in one of the most prestigious Turkish state universities located in Istanbul. These learners had been taught different academic essay types in this educational institution for which the researcher designed an instructional unit on “Argumentative Essay Writing”, which was highly needed for the learners taking English-medium-instruction to pursue their academic studies. For the purpose of this study, one prep class was chosen to implement the designed unit so that the efficiency could be evaluated in the end. As for the data collection tools, interviews were arranged with three students in the class where the design was implemented. Three junior students in different departments who had previously had a prep school experience before they took their departmental courses in their faculties were also interviewed as well as the instructors who gave the “academic writing” course by teaching the essay types for several years in this research context. Additionally, the writing tasks given to the students of the class where the research was conducted as well as their mid-term papers were also included in the data. All through these stages, observation protocols were also used by the “on-site” researcher. Results showed that an efficient and applicable unit for an “Argumentative Essay” is possible considering the students’ needs, entry characteristics, goals and objectives, instructional strategy, assessment, implementation and evaluation of the whole process.
Does Financial Behavior Influence Financial Well-being?

Financial behavior and financial well-being are two closely related aspects of an individual’s financial decision making. This study attempts to investigate the extent to which financial behavior influences financial well-being in the Indian scenario. The data is collected using a structured questionnaire from a sample of 150 respondents. The study employs Financial Management Behaviour Scale (FMBS) (Dew & Xiao, 2012) to measure financial behavior. Factor analysis and multiple regression are performed to find the influence of financial behavior on financial well-being. The findings of the study suggest that except for credit commitment all the other behavioral factors like future security, savings and investments, credit indiscipline, and financial consciousness have a significant impact on the financial well-being of an individual in the Indian scenario. The regression coefficients of financial well-being are strongly determined by financial consciousness. The study is a contribution to the existing behavioral studies literature and the model used identifies the factors that influence the financial well-being in the Indian scenario. The study is conducted during the year 2020, so the results could have been influenced by the economic scenario of the period. The results of the study can be used by financial advisors to understand the financial well-being in the Indian scenario.
Influence of Depression and Use of Alcohol and / or Tobacco by Parents in the Oral Health of Children with Disabilities

Objective: To investigate the influence of parental depression and substance use in the oral health care of children with disabilities . Material and Methods: A cross-sectional study was conducted involving 151 children with disabilities and their parents/caregivers. To detect the presence of depression and alcohol or tobacco use, the parents/caregivers answered three questionnaires: two versions of the Patient Health Questionnaire (PHQ), AUDIT (Alcohol Use Disorders Identification Test), and the Fagerstrom Test for Nicotine Dependence (FTND). Then, the children with disabilities underwent oral examination to evaluate biofilm control, gingival condition and the dental carie index (decayed, missing, and filled teeth - dmft DMFT). Results: There was a statistically significant association between tobacco use and dental caries in deciduous teeth (p=0.046). The children of smokers had six times greater need for dental treatment than that of non-smokers (OR= 6.36; CI= 1.3–30.5). There was no statistically significant association between the oral health of the children with disabilities and parental alcohol consumption and depression (p>0.05). Children with medical condition had a higher need for dental treatment than children with intellectual disability (p=0.003) . Conclusion: Parental smoking habits increase dental caries in the deciduous teeth of children with disabilities , but parental depression and alcohol use do not influence the oral health of children with disabilities . Children with medical condition have more treatment needs than children with intellectual disability.
Fast Geometric Multigrid Preconditioned Finite- Difference Frequency-Domain Method for Borehole Electromagnetic Sensing

To model the responses of borehole electromagnetic sensing in complicated geological environments, the geometric multigrid preconditioned finite-difference frequency-domain (FDFD) method is examined on its numerical performance as a fast forward modeling solver in this work. The geometric multigrid method is employed as a preconditioner for the biconjugate gradient stabilized method to efficiently solve the linear system resulting from the finite-difference method based on the staggered Yee’s cell. The Gauss–Seidel method is utilized as both presmoother and postsmoother for the multigrid method, and the bilinear approach is employed to construct the restriction and prolongation operators between coarse and fine grids. The F-cycle coarsening scheme is used to balance the convergence and computational efficiency of the multigrid method. Numerical examples of borehole electromagnetic sensing are included to examine the performance of the method, which not only demonstrates its accuracy but also shows its capability as a fast solver for practical application. The geometric multigrid preconditioned FDFD method can work as a good candidate for 3-D modeling-based interpretation and evaluation for borehole electromagnetic sensing.
The Effect of Family Ownership on the Relationship between Busy Directors and Stock Price Crash Risk for Listed Firms on the Indonesia Stock Exchange

This study explores the impact of busy directors on the stock price crash risk if an individual holds three or more board positions. Since Indonesia has adopted a two-tier system, directors refer to Commissioners. Most of the literature suggests that the main risk factor for stock price crashes arises from the tendency of management to withhold adverse news from investors regarding compensation contracts and career issues. This research aims to verify whether busy directors help to limit managerial opportunistic behavior. Results show that multiple positions bring no effect on the stock price crashes risk due to cross over interaction which negated the substantial effect on the risk of stock price crashes. As a country with high family ownership concentration, the results illustrate that family firms in Indonesia will strengthen the influence of Commissioners who hold multiple positions in reducing stock price crashes risk. This investigation uses a sample of companies listed in the Indonesia Stock Exchange over the period between 2014 and 2019. The generalized method of moment (GMM estimator) is used as a research method to reduce endogeneity problems. DOI: https://doi.org/10.26905/jkdp.v25i1. 4909
Which factors significantly reduce long-term survival after pulmonary metastasectomy?

Background: In this study, a survival analysis was performed of patients who underwent pulmonary metastasectomy over the past 10 years in our clinic. We aimed to elucidate the factors that significantly affected overall survival and identify subgroups of patients who may not benefit from pulmonary metastasectomy. Materials and Methods: We retrospectively reviewed 68 patients with a history of extra-thoracic malignancy who underwent pulmonary metastasectomy between January 2009 and December 2018. The overall survival rate was analyzed according to age, sex, histological type of the primary tumor, metastatic side, surgical approach type, pulmonary resection type, number of nodules resected, diseasefree interval, and nodal status. Results: The actuarial survival rate after pulmonary metastasectomy was 78% (95% confidence interval [CI]: 71-84) at 2 years and 48% (95% CI: 41-52) at 5 years. Patients with disease free interval < 12 months had a far worse survival rate (p = 0.001). Patients with sarcoma had a significantly worse prognosis than those with epithelial tumors or melanoma (p = 0.001). Patients with negative nodal status had a significantly better prognosis (p = 0.001), while patients with metastatic hilar lymph nodes also had significantly better survival compared to patients with metastatic mediastinal lymph nodes (N2) (p = 0.001). Conclusions: Tumor histology is the main determinant of overall survival and prognosis after pulmonary metastasectomy. The presence of multiple metastases in different unilateral lobes and N2 disease appeared to be the worst prognostic factors. Patients with either of these two significant negative prognostic factors should be evaluated carefully via a multidisciplinary approach and pulmonary metastasectomy should be performed only in selected patients.
Firms' Characteristics and Tax Evasion

The study investigates whether the firms' characteristics, including ownership structure, audit, and familiarity affect tax evasion. The study has used the ordinary least square (OLS) to analyze cross-sectional data of 85 countries between 2007 and 2015 collected from the world enterprise survey. The study finds that the domestic, foreign, and government ownership in the firm increases tax evasion, whereas proprietorship and female ownership decreases the tax evasion. Further, the results show that familiar firms with international recognition are less inclined to evade tax. Similarly, the negative relationship between audit and tax evasion implies that the government should make it compulsory to check the financial statements of the firms by the external auditors, which, in turn, reduces the firms' tax evasion. Moreover, the firms that face more financial constraints evade more tax than the firms with access to the bank loan and solvent ones. The tax authorities should also consider reducing the corporate tax rate as the higher tax rates stimulate the firms to evade more tax.
Retrieval of Land Surface Temperature, Emissivity, and Atmospheric Parameters From Hyperspectral Thermal Infrared Image Using a Feature-Band Linear-Format Hybrid Algorithm

Thermal infrared remote sensing can acquire large-scale land surface thermal radiance effectively. However, the observed data are affected by surface and atmospheric conditions. Traditional methods require some prior knowledge, such as emissivity in split-window algorithm and atmospheric correction in temperature–emissivity separation algorithm. This information is difficult to obtain directly and accurately. Hyperspectral thermal infrared data provide the possibility for simultaneous retrieval of atmospheric parameters, land surface temperature (LST), and emissivity because of their abundant band information. This study proposed a feature-band linear-format hybrid (FebLihy) algorithm by combining a deep neural network (DNN) model and a physical model with thermal airborne hyperspectral imager (TASI) data. The proposed algorithm was divided into three steps. First, the radiative transfer equation was converted into a linear form, and seven feature bands were chosen to reduce the unknowns. Second, the initial values of atmospheric and land surface parameters were estimated with the DNN model. Finally, least-squares optimization was used in the physical model to retrieve the final results. Results of the simulation data showed that the root-mean-square error (RMSE) of LST was 0.86 K, the RMSE of emissivity was less than 0.015, and the accuracy of atmospheric parameters was improved effectively by the physical model. The FebLihy algorithm was applied in a real TASI image in Fuyun County and verified with CE312 ground measurement data. Accurate results were achieved. The FebLihy algorithm will be optimized in terms of model and data in the future study.
Bayesian approaches for evaluating wind‐resistant performance of long‐span bridges using structural health monitoring data

Reliable estimation of wind‐induced displacement responses of long‐span bridges is critical to evaluating their wind‐resistant performance. In this study, two Bayesian approaches, Bayesian generalized linear model (BGLM) and sparse Bayesian learning (SBL), are proposed for characterizing the wind‐induced lateral displacement responses of long‐span bridges with structural health monitoring (SHM) data. They are fully model‐free data‐driven approaches, preferable for reckoning the wind‐induced total displacement intended for wind‐resistant performance assessment. With the measured displacement responses and wind speeds, a BGLM is developed to characterize the nonlinear relationship between the total displacement response and wind speed, where the Bayesian model class selection (BMCS) criterion is incorporated to determine the optimal model. In the model formulation by SBL, both wind speed and wind direction are treated as explanatory variables to elicit a probabilistic model with sparse structure. The SBL cleverly makes the resulting model to exempt from overfitting and generalizes well on unseen data. The two formulated models are then utilized to forecast the wind‐induced displacement responses in extreme typhoon events beyond the monitoring scope, and the predicted displacement responses are contrasted to the finite element analysis results and the design maximum allowable displacement under the serviceability limit state (SLS). The proposed methods are demonstrated using the monitoring data acquired by GPS sensors and anemometers instrumented on a long‐span suspension bridge. The results show that the SBL model is superior to the BGLM for wind‐induced displacement response prediction and is amenable to SHM‐based evaluation of wind‐resistant performance under extreme typhoon conditions.
Rheumatic Heart Disease in A Patient with Hypocomplementemic Urticarial Vasculitis: A Case Based-Review

Background: Hypocomplementemic urticarial vasculitis syndrome (HUVS) is a rare multisystemic autoimmune disease. The cardiac involvement in HUVS, mainly in the heart valves, can be differentiated from late-onset rheumatic fever sequelae with specific criteria, although similarities are observed among these pathologies. Case Report: We describe the case of a patient with Jaccoud’s arthropathy associated with urticarial skin lesions, elevated inflammatory markers and consumed complement fractions. Skin biopsy revealed leukocytoclastic vasculitis, fully controlled with rituximab and mycophenolate. In the follow-up, echocardiographic abnormalities consistent with rheumatic heart disease (RHD) were detected. Review: HUVS is an immune complex-mediated small vessel vasculitis involving prominently the skin vessels, synovial membrane and glomeruli. Case reports showing mitro-aortic valve involvement in patients with HUVS raised the possibility of association with post-rheumatic valve disease, corroborating the hypothesis of a common pathophysiological pathway linking HUVS and RHD. The initial treatment of HUVS include corticosteroids, hydroxychloroquine, colchicine and dapsone, however more potent immunosuppressants, such as mycophenolate or immunobiological therapy are often necessary for complete remission of symptoms and weaning from corticosteroid therapy. Conclusions: Although rare, it is important to consider the association of RHD in patients with HUVS, due to significative changes in the treatment and preventive measures.
Optimization of Robot Posture and Workpiece Setup in Robotic Milling With Stiffness Threshold

Industrial robot provides a promising alternative in freeform surface milling. However, due to its low stiffness, it is difficult to guarantee the machining quality. While existing research considers mainly the influence of robot posture on stiffness, the workpiece setup's influence is equally important. In this article, to ensure the overall workpiece's robot stiffness meets the requirement of stiffness threshold in robotic milling, a method for simultaneously optimizing the robot posture and the workpiece setup is proposed. First, to evaluate the robot stiffness during machining, this article presents a new stiffness index considering the robot's rotational deformation. And then, an optimization model is established to optimize both the robot redundancy and the workpiece setup, considering the constraints of joint limitation, singularity-free and collision-free. Moreover, for complex freeform surfaces, to obtain the minimum number of posture changes of the robot and workpiece under the premise of meeting the limit of stiffness threshold, this article constructs a minimum set covering problem, which is solved by a clustering algorithm and a greedy algorithm. Finally, simulations and experimental studies are conducted to validate the effectiveness of the proposed robot stiffness index and the proposed optimization method, showing that the robot stiffness is improved during a milling process of the entire workpiece.
Iron Carbonyl Clusters as Proton Reduction Catalysts

Abstract – The mixed-valence triiron complexes [Fe3(CO)7-x(PPh3)x(µ-edt)2] (x = 0, 1, 2; edt = SCH2CH2S) and [Fe3(CO)5(κ2-diphosphine)(µ-edt)2] (diphosphine = dppv, dppe, dppb, dppn) have been prepared and structurally characterized. In comparison to the diiron complex [Fe2(CO)6(µ-edt)], [Fe3(CO)7(µ-edt)2] catalyzes proton reduction at 0.36 V less negative potentials, which is a significant energetic gain. In all complexes the HOMO comprises an iron-iron bonding orbital localized between the two iron atoms not ligated by the semi-bridging carbonyl, while the LUMO is highly delocalised in nature and is anti-bonding between both pairs of iron atoms but also contains an anti-bonding dithiolate interaction. The clusters [Fe3(CO)9(μ3-E)2] (E = S, Se, Te), [Fe3(CO)7(μ3-E)2(μ- κ2-diphosphine)] (E = S, Se, Te), [Fe3(CO)7(μ3-CO)(μ3-E)(μ-dppm)] (E = S, Se) and [Fe3(CO)8(µ3-Te)2(κ2-diphosphine)] have been prepared and examined as proton reduction catalysts. The reduction potentials for the tellurium-capped clusters occur at lower potentials than for their sulfur and selenium analogues, and the redox processes also show better reversibility than for the S/Se analogues. The 52-electron clusters [Fe3(CO)8(µ3-Te)2(κ2-diphosphine)] consist of Fe2(CO)6(µ-Te)2 “butterfly” units that are capped by a Fe(CO)2(κ2-diphosphine) moiety. Cyclic voltammetry studies reveal that their redox behaviour and properties as proton reduction catalysts largely stem from the Fe2(CO)6(µ-Te)2 entities, although computational modelling indicates that their LUMOs are centered on the briding tellurium ions and the unique “capping” iron ion. The influence of the substitution, orientation and structure of the phosphido bridges on the electrochemical and electrocatalytic properties of [Fe2(CO)6(µ-phosphido)2] clusters and bis(phosphinidene)-capped triiron carbonyl clusters, including electron-rich derivatives formed by substitution with chelating diphosphines, have been studied. The electrochemistry and electrocatalyses of the [Fe2(CO)6(µ-PR2)2] dimers show subtle variations with the nature of the bridging phosphido group(s), including the orientation of bridgehead hydrogen atoms. The reduction potential of the phosphinidene- capped clusters shift negative way to increase the electron density on the iron centers.
Does Varying Repetition Tempo in a Single-Joint Lower Body Exercise Augment Muscle Size and Strength in Resistance-Trained Men?

Abstract Pearson, J, Wadhi, T, Barakat, C, Aube, D, Schoenfeld, BJ, Andersen, JC, Barroso, R, Ugrinowitsch, C, and De Souza, EO. Does varying repetition tempo in a single-joint lower body exercise augment muscle size and strength in resistance-trained men? J Strength Cond Res 36(8): 2162–2168, 2022—This study compared the effects of FAST and SLOW eccentric repetition tempo in a single exercise volume-matched intervention on muscle thickness (MT) and strength in resistance-trained men. Using a within-subject design, 13 subjects had each leg randomly assigned to SLOW (1-0-3) or FAST (1-0-1) repetition tempo. Subjects underwent an 8-week strength-training (ST) intervention performed twice weekly. Unilateral leg-extension one repetition-maximum (1RM) and anterior thigh MT at the proximal (MTP) and distal (MTD) portions were assessed via ultrasound imaging at baseline and after 8 weeks of RT. Rating of perceived exertion (RPE) assessments of the training sessions (i.e., 16 per leg) were averaged for further analysis. Both legs similarly increased MTP (estimated differences: FAST: 0.24 cm, 3.6%; SLOW: 0.20 cm, 3.1%). However, for MTD, analysis of covariance analysis showed a leg effect (p = 0.02) in which absolute pre-to-post change was greater in FAST compared with SLOW (estimated differences: FAST 0.23 cm, 5.5%; SLOW: 0.13 cm, 2.2%). For 1RM, both legs similarly increased maximum strength (estimated differences: FAST: 9.1 kg, 17.0%; SLOW: 10.4 kg, 22.1%, p ≤ 0.0001). The SLOW group had a higher RPE than FAST (8.59 vs. 7.98, p = 0.002). Despite differences in RPE, our results indicate that both repetition tempos produced similar muscular adaptations. However, they also suggest that the FAST tempo may provide a small hypertrophic advantage at the distal quadriceps. From a practical standpoint, strength and conditioning professionals may implement a FAST tempo at least in one single-joint exercise during an 8-week training period to enhance regional hypertrophic adaptations in trained individuals.
Hereditary hemochromatosis associated with the development of liver cirrhosis

Hereditary hemochromatosis (HH) is an autosomal recessive disease, most often associated with mutations in the HFE gene, which result in continuous absorption of iron, causing its overload. Liver tissue is the main site of iron deposition; thus, high levels of iron, when interacting with oxygen, induce the formation of free radicals that will act on proteins, lipids, and deoxyribonucleic acid (DNA), which may trigger deleterious effects at cellular and tissue levels. In order to elucidate the development and progression of liver cirrhosis due to iron overload, the purpose of this study is to describe the pathophysiology of the hepatic system in patients diagnosed with HH. For this purpose, searches for scientific articles were carried out in the main academic databases. We found that patients diagnosed with HH are more likely to develop liver cirrhosis, since chronic iron deposition in liver tissue induces injury and consequent tissue regeneration, progressing to collagen fibers synthesis surrounding the hepatocytes, leading to loss of liver function and development of cirrhosis. Therefore, it is necessary to carry out tests such as iron, ferritin and transferrin measurements, to evaluate body’s iron stores, aiming at an early diagnosis of iron overload, thus avoiding deleterious damage at cellular and tissue levels.