Miracle-dz/UniFAR-FTUs huggingface dataset:
Rhetorical Structure Analysis of EFLs’ Written Narratives of a Picture Story

This study was set to reveal how second language learners use rhetorical relations in their written narratives in terms of Rhetorical Structure Theory (RST) primarily proposed by Mann & Thompson (1987) and developed by Mann, Matthiessen & Thompson (1992). To this end, sixty written narratives based on the picture story book ‘Frog, where are you? ’ were collected from EFL learners and were put to the RST for analysis. The results overall indicate that among the 25 rhetorical relations under investigation, sequence, cause cluster, elaboration, circumstance, and concession were the most common relations in the texts. Close scrutiny of the sample RST trees manifests remarkable resemblances at the two upper levels of hierarchical structure and considerable difference at the lower ones. This confirms the crucial importance of temporality, among other things, in sequential events of narrative. Sparse distribution of ‘orientation’ at certain points and their displacement are other interesting cases which could be attributed to the L1 effect.
Radiofrequency Ablation versus Transarterial Chemoembolization for Hepatocellular Carcinoma within Milan Criteria: Prognostic Role of Tumor Burden Score

Simple Summary Tumor burden score (TBS) has been recently introduced to assess the tumor burden in hepatocellular carcinoma (HCC), but its prognostic role in patients with early-stage HCC is unclear. We confirm that TBS is an independent prognostic predictor in HCC patients within the Milan criteria undergoing radiofrequency ablation (RFA) or transarterial chemoembolization (TACE). TACE may be an effective treatment alternative for these patients. Among patients with low TBS, RFA should be considered the priority treatment modality. Abstract Tumor burden score (TBS), estimated by the diameter and number of tumor nodules, was recently proposed to assess the tumor burden in hepatocellular carcinoma (HCC). We aimed to evaluate the prognostic impact of TBS on HCC patients within the Milan criteria undergoing radiofrequency ablation (RFA) or transarterial chemoembolization (TACE). A total of 883 patients undergoing RFA and TACE were included. The multivariate Cox proportional hazards model was used to determine independent prognostic predictors in different patient cohorts. The TACE group had significantly higher TBS compared with the RFA group. The RFA group had better long-term survival than the TACE group in patients within the Milan criteria in univariate survival analysis. In the Cox model, serum α-fetoprotein (AFP) > 20 ng/mL, performance status 1–2, medium and high TBS, albumin–bilirubin (ALBI) grade 2 and grade 3 were independent predictors linked with mortality (all p < 0.001). Overall, TACE was not an independent predictor; among patients with low TBS, TACE was independently associated with decreased survival compared with RFA (p = 0.034). Conclusions: TBS is a feasible prognostic marker for HCC patients within the Milan criteria. TACE may be an effective treatment alternative for these patients. Among patients with low TBS, RFA should be considered the priority treatment modality.
Concepts and Applications of Finite Element Analysis

Notation. Introduction. One-Dimensional Elements, Computational Procedures. Basic Elements. Formulation Techniques: Variational Methods. Formulation Techniques: Galerkin and Other Weighted Residual Methods. Isoparametric Elements. Isoparametric Triangles and Tetrahedra. Coordinate Transformation and Selected Analysis Options. Error, Error Estimation, and Convergence. Modeling Considerations and Software Use. Finite Elements in Structural Dynamics and Vibrations. Heat Transfer and Selected Fluid Problems. Constaints: Penalty Forms, Locking, and Constraint Counting. Solid of Revolution. Plate Bending. Shells. Nonlinearity: An Introduction. Stress Stiffness and Buckling. Appendix A: Matrices: Selected Definition and Manipulations. Appendix B: Simultaneous Algebraic Equations. Appendix C: Eigenvalues and Eigenvectors. References. Index.
Molecular Analysis of Short- versus Long-Term Survivors of High-Grade Serous Ovarian Carcinoma

Simple Summary Ovarian cancer is commonly associated with poor survival; patients with a diagnosis of high-grade serous ovarian carcinoma (HGSC) have an overall survival of 39% at 5 years. For reasons not well known, about 32% of ovarian cancer patients survive 10 years or more. In this study, our goal was to determine the molecular differences that drive long-term survival (LTS) in patients with HGSC. Indeed, this study shows that patients with LTS have a distinct pattern of gene expression, with TMEM62 being related to LTS. Increased TMEM62 expression led to decreased proliferation of ovarian cancer cells in vitro and decreased tumor burden in vivo. Abstract Despite having similar histologic features, patients with high-grade serous ovarian carcinoma (HGSC) often experience highly variable outcomes. The underlying determinants for long-term survival (LTS, ≥10 years) versus short-term survival (STS, <3 years) are largely unknown. The present study sought to identify molecular predictors of LTS for women with HGSC. A cohort of 24 frozen HGSC samples was collected (12 LTS and 12 STS) and analyzed at DNA, RNA, and protein levels. OVCAR5 and OVCAR8 cell lines were used for in vitro validation studies. For in vivo studies, we injected OVCAR8 cells into the peritoneal cavity of female athymic nude mice. From RNAseq analysis, 11 genes were found to be differentially expressed between the STS and LTS groups (fold change > 2; false discovery rate < 0.01). In the subsequent validation cohort, transmembrane protein 62 (TMEM62) was found to be related to LTS. CIBERSORT analysis showed that T cells (follicular helper) were found at higher levels in tumors from LTS than STS groups. In vitro data using OVCAR5 and OVCAR8 cells showed decreased proliferation with TMEM62 overexpression and positive correlation with a longevity-regulating pathway (KEGG HSA04213) at the RNA level. In vivo analysis using the OVCAR8-TMEM62-TetON model showed decreased tumor burden in mice with high- vs. low-expressing TMEM62 tumors. Our results demonstrate that restoring TMEM62 may be a novel approach for treatment of HGSC. These findings may have implications for biomarker and intervention strategies to help improve patient outcomes
Ceramic-on-Ceramic Bearings in Total Joint Arthroplasty. Part 1

Summary. Ceramic bearings were first employed as alternatives to polyethylene (PE) bearings in total joint arthroplasty about a decade after Sir John Charnley introduced the first durable total hip arthroplasty (THA) with a metal-PE articulation. Charnley’s approach was based on a metal stem bonded to bone with polymethylmethacrylate (PMMA) and an acetabular component made of ultra-high-molecular-weight PE (UHMWPE). Microscopic particulate debris in the joint space from bearing wear has been shown to lead to periprosthetic inflammation, osteolysis, and implant loosening. Cross-linking can reduce the wear of UHMWPE, but it also compromises UHMWPE’s mechanical properties. Accordingly, there are concerns related to potential brittleness if UHMWPE implants are not positioned optimally. Also, the smaller particles generated from cross-linked UHMWPE may present an increased particulate load in vivo. Thus, there is a need for data on the long-term outcomes of cross-linked UHMWPE. Any technology that can reduce bearing wear rates in THA and total knee arthroplasty (TKA) can potentially decrease the morbidity and risks associated with premature revision surgery related to wear. Improved wear resistance also allows the use of large-diameter femoral heads in THA, leading to increased arc of movement and less risk of prosthesis dislocation. The ideal joint bearing for THA and TKA would be able to withstand high cyclic loading for several decades without undergoing corrosion or fretting at modular metal tapers, and would possess proven biocompatibility and material stability in vivo, as well as ultralow wear rates. The search for the ideal total joint bearing has led to the development of ceramic bearings.
The Nature of Complex Networks

The researchers studying complex networks will acquire from this advanced modern book a number of new issues and ideas, not yet touched upon in other reference volumes. The book considers a wide range of networks and processes taking place on them, paying particular attention to the recently developed directions, methods, and techniques. It proposes a statistical mechanics view of random networks based on the concept of statistical ensembles, but approaches and methods of modern graph theory, concerning random graphs, overlap strongly with statistical physics. Hence mathematicians have a good chance to discover interesting things in this book, even though it does not contain mathematical proofs and trades off rigour for comprehension, brevity, and relevance. The book combines features of an advanced textbook, a reference book and a detailed review of the current state of the art. This book will be useful for undergraduate, master, and PhD students and young researchers from physics, multidisciplinary studies, computer science, and applied mathematics wishing to gain a serious insight into the principles of complex networks. The book can be used as a text in university courses on complex networks. It proposes to determined students not only a brief trip to the land of complex networks but an option to stay there forever.
Matrix Decomposition Methods for Data Mining : Computational Complexity and Algorithms

Matrix decompositions, where a given matrix is represented as a product of two other matrices, are regularly used in data mining. Most matrix decompositions have their roots in linear algebra, but the needs of data mining are not always those of linear algebra. In data mining one needs to have results that are interpretable – and what is considered interpretable in data mining can be very different to what is considered interpretable in linear algebra. The purpose of this thesis is to study matrix decompositions that directly address the issue of interpretability. An example is a decomposition of binary matrices where the factor matrices are assumed to be binary and the matrix multiplication is Boolean. The restriction to binary factor matrices increases interpretability – factor matrices are of the same type as the original matrix – and allows the use of Boolean matrix multiplication, which is often more intuitive than normal matrix multiplication with binary matrices. Also several other decomposition methods are described, and the computational complexity of computing them is studied together with the hardness of approximating the related optimization problems. Based on these studies, algorithms for constructing the decompositions are proposed. Constructing the decompositions turns out to be computationally hard, and the proposed algorithms are mostly based on various heuristics. Nevertheless, the algorithms are shown to be capable of finding good results in empirical experiments conducted with both synthetic and real-world data.
Large Eddy Simulation of the Vortex-Induced Vibration of a Circular Cylinder by Using the Local Domain-Free Discretization Method

In this paper, the local domain-free discretization (DFD) method is extended to large eddy simulation (LES) of ﬂuid-structure interaction and the vortex-induced vibration (VIV) of an elastically mounted rigid circular cylinder, which is held in the middle of a straight channel, is numerically investigated. The wall model based on the simpliﬁed turbulent boundary layer equations is employed to alleviate the requirement of mesh resolution in the near-wall region. The ability of the method for ﬂuid-structure interaction is demonstrated by simulating ﬂows over a circular cylinder un-dergoing VIV. The cylinder is neutrally buoyant with a reduced mass m ∗ = 11 and has a low damping ratio ζ = 0.001. The numerical experiment of the VIV of a cylinder in an unbounded ﬂow shows that the present LES-DFD method is more accurate and reliable than the referenced RANS and DES methods. For the cylinder in the middle of a straight channel, the effect of the channel height ( d ∗ = d / D ) is investigated. The variations of the response amplitude, vortex-shedding pattern and the length of the induced separation zone in the channel boundary layers with the channel height are presented. interaction, vortex-induced vibration.
Inelastic Neutron Scattering Study of Mn

The authors report zero-field inelastic neutron scattering experiments on a 14-gram deuterated sample of Mn{sub 12}-Acetate consisting of a large number of identical spin-10 magnetic clusters. Their resolution enables them to see a series of peaks corresponding to transitions between the anisotropy levels within the spin-10 manifold. A fit to the spin Hamiltonian H = {minus}DS{sub z}{sup 2} + {mu}{sub B}B{center_dot}g{center_dot}S-BS{sub z}{sup 4} + C(S{sub +}{sup 4} + S{sub {minus}}{sup 4}) yields an anisotropy constant D = (0.54 {+-} 0.02) K and a fourth-order diagonal anisotropy coefficient B = (1.2 {+-} 0.1) x 10{sup {minus}3}K. Unlike EPR measurements, their experiments do not require a magnetic field and yield parameters that do not require knowledge of the g-value.
Drosophila melanogaster as a Tool for Amyotrophic Lateral Sclerosis Research

Reliable animal model systems are an integral part of biological research. Ever since Thomas Hunt Morgan won a Nobel Prize for genetic work done using the fruit fly (Drosophila melanogaster) as a model organism, it has played a larger and more important role in genetic research. Drosophila models have long been used to study neurodegenerative diseases and have aided in identifying key disease progression biological pathways. Due to the availability of a vast array of genetic manipulation tools, its relatively short lifespan, and its ability to produce many progenies, D. melanogaster has provided the ability to conduct large-scale genetic screens to elucidate possible genetic and molecular interactions in neurodegenerative diseases such as Alzheimer’s disease, Parkinson’s disease, Huntington’s Disease, and Amyotrophic Lateral Sclerosis (ALS). With regards to ALS, many of the gene mutations that have been discovered to be linked to the disease have been modeled in Drosophila to provide a look into a detailed model of pathogenesis. The aim of this review is to summarize key and newer developments in ALS research that have utilized Drosophila and to provide insight into the profound use of Drosophila as a tool for modeling this disease.
Relationships between ICT Use for Task and Social Functions, Work Characteristics, and Employee Task Proficiency and Job Satisfaction: Does Age Matter?

Digitalization and demographic change represent two megatrends that impact organizations and workplaces around the globe. Rapid developments in information and communication technology (ICT) are fundamentally changing the ways in which work is conducted. At the same time, workforces are becoming increasingly older and age diverse. Integrating the model of workplace ICT use and work design with socioemotional selectivity theory from the lifespan development literature, we investigate employee age as a moderator of the indirect and total effects of ICT use for task and social functions on self-rated task proficiency and job satisfaction. As potential mediators, we focus on three job-related resources: job autonomy, team cohesion, and task significance. Data were collected from 1761 employees at three measurement points across two months. The results showed that ICT use for task and social functions were not significantly associated with job autonomy, team cohesion, task significance, task proficiency, and job satisfaction, while controlling for baseline levels of these mediator and outcome variables. Job autonomy was negatively related to task proficiency, and team cohesion was positively related, whereas both job autonomy and team cohesion were positively related to job satisfaction. Contrary to expectations, age did not moderate the indirect and total effects of ICT use for task and social functions on task proficiency and job satisfaction. We discuss the implications of our findings for future research and practice regarding ICT use and age in the work context.
Role of glucose/potassium ratio and shock index in predicting mortality in patients with isolated thoracoabdominal blunt trauma

ABSTRACT BACKGROUND: The aim of this study, investigate the prognostic value of shock index (SI), which has been accepted for a long time, and glucose-potassium ratio (GPR), which has limited data in patients with trauma and those with isolated blunt thoracoabdominal trauma. METHODS: This retrospective observational study was conducted at the tertiary reference hospital. Consecutive patients aged 18 years and older treated for blunt thoracoabdominal trauma in the emergency department between August 2020 and February 2022 were included in the study. The ability of GPRs obtained from arterial blood gases and SI levels on admission to predict mortality and indication for surgery was evaluated by calculating areas under receiver operating characteristic curves Area under the curve (AUCs). RESULTS: A total of 102 patients, of which 91 in the survivor group and 11 in the non-survivor group, were analyzed. The AUCs for estimating mortality with GPR and SI were 0.854 (95% confidence interval [CI], 0.742–0.967) and 0.809 (95%, 0.666–0.952), respectively. The AUCs of GPR and SI to estimate the indication for surgery were 0.761 (95% CI, 0.657–0.864) and 0.582 (95% CI, 0.416–0.747), respectively. CONCLUSION: This study reported the efficacy of SI and GPR in predicting surgical indication and mortality in patients with isolated blunt thoracoabdominal trauma and the superior predictive role of GPR over SI.
Expected compressive strength in precast, prestressed concrete design: A methodology to analyze regional strength results

Accurate predictions of concrete compressive strength are critical for designers to effectively estimate the camber, deflections, and prestress losses of precast, prestressed concrete elements. A methodology that relies on regional concrete bridge girder strength test results is proposed for predicting expected concrete compres­sive strength. Strength data collected from precast, prestressed concrete plants were manipulated by the use of a strength-difference approach to facilitate American Concrete Institute 214R-11 analysis methods. The data set was used to evaluate five other empirical prediction model forms. When implemented using an Alabama regional data set, the methodology resulted in markedly more accurate predictions of expected concrete strength at prestress transfer and at 28 days compared with cur­rent practice.
The structure and X-ray radiation spectra of illuminated accretion disks in AGN III. Modeling fractional variability

Context. Random magnetic flares above the accretion disks of Active Galactic Nuclei can account for the production of the primary radiation and for the rapid X-ray variability that have been frequently observed in these objects. The primary component is partly reprocessed in the disk atmosphere, forming a hot spot underneath the flare source and giving rise to distinct spectral features. Aims. Extending the work of Czerny et al. (2004, AA the black hole’s angular momentum is a free parameter and is subject to the fitting procedure. Results. We confirm that the rms-variability spectra involve intrinsic randomness at a significant level when the number of flares appearing during the total observation time is too small. Furthermore, the fractional variability expressed by Fvar is not always compatible with Fpp. In the special case of MCG-6-30-15, we can reproduce the short-timescale variability and model the suppressed variability in the energy range of the Kα line without any need to postulate reprocessing farther away from the center. The presence of the dip in the variability spectrum requires an increasing rate of energy production by the flares toward the center of the disk. The depth of the feature is well represented only if we assume a fast rotation of the central black hole and allow for considerable suppression of the primary flare emission. The modeled line remains consistent with the measured equivalent width of the iron Kα line complex. The model can reproduce the frequently observed suppression of the variability in the spectral range around 6.5 keV, thereby setting constraints on the black hole spin and on the disk inclination.
ANALYSIS OF SOCIAL ATTITUDES OF ELEMENTARY SCHOOL LEARNERS WITH THE APPLICATION OF ALBERT BANDURA'S LEARNING THEORY

Education is not only to gain knowledge, but the education carried out must be able to improve social attitudes for students. This study aims to determine the difference in social attitudes of the class that implements Albert Bandura's social learning theory and the class that does not implement Albert Bandura's social learning theory. The approach used in this research is a quantitative approach with a Quasy Experimental Design with a Nonequivalent Control Group Design research pattern. This design applies two groups of students, namely the Experiment Class and the Control Class. Furthermore, in each class a pretest before treatment and posttest after treatment was carried out with six aspects of social attitudes, where each aspect consisted of three indicators. The experimental class carried out learning by applying Alber Bandura's social learning theory while the control class carried out learning without Albert Bandura's social learning theory. The results of the study generally show that there are differences in the acquisition of social attitude scores of the experimental class and the control class. The N-Gain score in the experimental class is 0.5 in the medium category. Meanwhile, in the control class, the N-Gain score was 0.216 in the low category
Enhancing Mathematics Learning by Integrating Growth Mindset Principles in Ninth-Grade Supplementary Materials

This paper determined the supplementary materials in ninth-grade mathematics which may be enhanced to integrate growth mindset principles to improve students’ procedural fluency and foster their growth mindset in mathematics. This study employed a descriptive-developmental method by administering a quasi-experimental design and mixed-method research approach to determine the research questions. The respondents in this study were the 60 ninth-grade students at a state secondary high school in the Philippines. The study implemented the validated researcher-made procedural fluency test and growth mindset questionnaire in determining students’ performance in procedural fluency and mindset in mathematics, respectively. Thematic analysis was employed to investigate students’ responses in Focus Group Discussions (FGD), informal interviews and learning journals in scrutinising the learning experiences and mindsets of the students. Findings displayed that the supplementary materials which can be developed in incorporating growth mindset principles were motivational activities, reflection activities, and instructional videos. Utilising the developed supplementary materials elevates students’ procedural fluency. It influences students to shift from fixed mindsets to growth mindsets in mathematics by providing them with significant learning experiences that help students enhance a growth mindset. Furthermore, the implementation group performed better than the comparison group, particularly with developing growth mindsets. The study results are limited to the participants encompassing; similar research employing the developed supplementary materials to other learning areas with a larger sample is recommended for more generalisable results.