Miracle-dz/UniFAR-FTUs huggingface dataset:
Pengaruh Model Pembelajaran Predict, Observe And Explain terhadap Keterampilan Proses Sains Siswa Kelas X Sma Negeri 1 Balaesang

Abstrak - Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran Predict, Observe and Explain (POE) keterampilan proses sains siswa pada materi kalor yang diajarkan dengan menggunakan model pembelajaran POE dengan pembelajaran konvensional. Jenis penelitian yang digunakan adalah kuasi eksperimen dengan desain The Non Equivalen Pretest-Posttest Design dengan menggunakan teknik purposive sampling diperoleh kelas X A sebagai kelas eksperimen dan kelas X B sebagai kelas kontrol. Instrumen yang digunakan berupa tes keterampilan proses sains dalam bentuk tes esai berjumlah 8 soal. Analisis data dilakukan dengan teknik statistik uji-t satu pihak untuk menguji perbedaan rerata skor keterampilan proses sains siswa dengan signifikansi α = 0,05 dengan kriteria pengujian terima H 0 jika t hitung t tabel = 1,66. Ini berarti bahwa nilai t hitung berada di luar daerah penerimaan H 0 . Dengan demikian disimpulkan bahwa, terdapat pengaruh keterampilan proses sains antara kelas yang mendapatkan pembelajaran menggunakan model pembelajaran POE dengan kelas yang mendapatkan pembelajaran konvensional. Kata Kunci : Model POE, Keterampilan proses sains
Investigation of Root Morphological Traits Using 2D-Imaging among Diverse Soybeans (Glycine max L.)

Roots are the most important plant organ for absorbing essential elements, such as water and nutrients for living. To develop new climate-resilient soybean cultivars, it is essential to know the variation in root morphological traits (RMT) among diverse soybean for selecting superior root attribute genotypes. However, information on root morphological characteristics is poorly understood due to difficulty in root data collection and visualization. Thus, to overcome this problem in root research, we used a 2-dimensional (2D) root image in identifying RMT among diverse soybeans in this research. We assessed RMT in the vegetative growth stage (V2) of 372 soybean cultivars propagated in polyvinyl chloride pipes. The phenotypic investigation revealed significant variability among the 372 soybean cultivars for RMT. In particular, RMT such as the average diameter (AD), surface area (SA), link average length (LAL), and link average diameter (LAD) showed significant variability. On the contrary RMT, as with total length (TL) and link average branching angle (LABA), did not show differences. Furthermore, in the distribution analysis, normal distribution was observed for all RMT; at the same time, difference was observed in the distribution curve depending on individual RMT. Thus, based on overall RMT analysis values, the top 5% and bottom 5% ranked genotypes were selected. Furthermore, genotypes that showed most consistent for overall RMT have ranked accordingly. This ultimately helps to identify four genotypes (IT 16538, IT 199127, IT 165432, IT 165282) ranked in the highest 5%, whereas nine genotypes (IT 23305, IT 208266, IT 165208, IT 156289, IT 165405, IT 165019, IT 165839, IT 203565, IT 181034) ranked in the lowest 5% for RMT. Moreover, principal component analysis clustered cultivar 2, cultivar 160, and cultivar 274 into one group with high RMT values, and cultivar 335, cultivar 40, and cultivar 249 with low RMT values. The RMT correlation results revealed significantly positive TL and AD correlations with SA (r = 0.96) and LAD (r = 0.85), respectively. However, negative correlations (r = −0.43) were observed between TL and AD. Similarly, AD showed a negative correlation (r = −0.22) with SA. Thus, this result suggests that TL is a more vital factor than AD for determining SA compositions.
Business Sustainability: The Trend of Human Resource Disclosure Based on Malaysian Evidence

This paper aims to investigate the trend of human resource disclosure (HRD) quality based on publicly disclosed annual reports of 235 Malaysian listed companies. The data was collected through content analysis method using HRD index. The results reveal that there is an increasing trend of HRD quality from 2010 to 2014. However the significant increase is only between 2012 and 2013. This study provides empirical support for Institutional theory’s coercive isomorphism, through its findings on quality of HRD. This is because, the related disclosure regulations and the Malaysian government policy through Malaysia Plan may have significantly influenced firms to increase HRD quality in their annual reports.
State of implementation of TPM in SMIs: a survey study in Malaysia

Applications of systems like total quality management (TQM), total productive maintenance (TPM) and just‐in‐time (JIT) have been studied mainly in large industries with little attention being paid to small and medium industries (SMIs) in developing countries. This paper discusses the state of implementation of TPM in SMIs and the effects of lack of productive maintenance. The main hypothesis is to determine if SMIs have understood the importance of a productive maintenance system as a constituent of manufacturing management. A survey methodology has been applied for this test. The outcomes of some case studies are kept in mind. All these show that the implementation of TPM or preventive maintenance in SMIs is still low. Therefore, more effort should be given to developing a better understanding, motivation and participation for implementation of productive maintenance systems. Finally, an implementation methodology is proposed.
Modelling of Large A.C. Motor Coils for Steep Fronted Surge Studies

A multi-conductor transmission line model has been developed for the line end coil of a large a.c. motor. This model is used in an EMTP (Electromagnetic Transients Program) to compute the coil response for various surge wavefront risetimes. The computed responses have been compared with recorded waveforms taken from a restricted laboratory model of the line end coil.
CHALLENGES OF TURKISH HERITAGE IMPACT ASSESSMENT PRACTICES: CASE OF CANAL ISTANBUL, TURKEY

Heritage impact assessment (HIA) which has been implemented internationally after the Vienna Memorandum aims to contribute to both development initiatives and conservation principles. However, Turkish impact assessment practices still display inactive relationships with cultural heritage although the country developed alongside prior global experiences. Istanbul pioneered planning interventions and large-scale urban regeneration in Turkey, which has been the country’s primary connection to global markets. Due to Istanbul’s reputation as an investment centre defined by the government, the balance between conservation and development has become shallow. While Turkey introduced legislative measures from European perspectives, the country began to drift apart in terms of the logic behind HIAs since 2005, when the urban regeneration era commenced. In this context, Istanbul Canal exemplifies the Turkish approach of HIA, at the intersection of conservation and development, grounded exclusively in Turkish legislation. Established on the Canal Istanbul Environmental Impact Assessment (EIA) practice, this study investigates the challenges encountered by Istanbul’s cultural heritage, due to the hierarchical structure of the planning system, the adoption of international conservation and management principles, and the EIA–HIA processes and procedures. It considers that the deep-seated problems within the Turkish conservation–planning structure can be attributed to the ineffective HIA, and the results could contribute to the improvement of impact assessment mechanisms.
Clinicopathological Determinants of Recurrence Risk and Survival in Mucinous Ovarian Carcinoma

Simple Summary Mucinous ovarian carcinoma (MOC) is a unique type of ovarian cancer. While many MOC patients have excellent survival, patients who experience recurrence have extremely poor prognosis. Identifying patients at the highest risk of recurrence is important for identifying which patients need the most aggressive treatment, and to identify where new treatment strategies are needed to improve survival. We use a large cohort of MOC patients to identify factors associated with high and low risk of recurrence. We show that once patients reach 5 years from diagnosis, their risk of recurrence is low. Patients with more advanced-stage disease and higher pathological grade of disease are more likely to experience recurrence, and their survival is significantly shorter. For early-stage MOC patients, survival time was similar whether they were treated with surgery plus chemotherapy, or whether they only had surgery. Patient survival time following recurrence is extremely poor (median 5 months); new treatment options are urgently needed to improve their survival. Abstract Mucinous ovarian carcinoma (MOC) is a unique form of ovarian cancer. MOC typically presents at early stage but demonstrates intrinsic chemoresistance; treatment of advanced-stage and relapsed disease is therefore challenging. We harness a large retrospective MOC cohort to identify factors associated with recurrence risk and survival. A total of 151 MOC patients were included. The 5 year disease-specific survival (DSS) was 84.5%. Risk of subsequent recurrence after a disease-free period of 2 and 5 years was low (8.3% and 5.6% over the next 10 years). The majority of cases were FIGO stage I (35.6% IA, 43.0% IC). Multivariable analysis identified stage and pathological grade as independently associated with DSS (p < 0.001 and p < 0.001). Grade 1 stage I patients represented the majority of cases (53.0%) and demonstrated exceptional survival (10 year DSS 95.3%); survival was comparable between grade I stage IA and stage IC patients, and between grade I stage IC patients who did and did not receive adjuvant chemotherapy. At 5 years following diagnosis, the proportion of grade 1, 2 and 3 patients remaining disease free was 89.5%, 74.9% and 41.7%; the corresponding proportions for FIGO stage I, II and III/IV patients were 91.1%, 76.7% and 19.8%. Median post-relapse survival was 5.0 months. Most MOC patients present with low-grade early-stage disease and are at low risk of recurrence. New treatment options are urgently needed to improve survival following relapse, which is associated with extremely poor prognosis.
Numerical analysis of column collapse by smoothed particle hydrodynamics with an advanced critical state-based model

The complex behavior of granular material considering large deformation and post-failure is of great interest in the geotechnical field. Numerical prediction of these phenomena could provide useful insights for engineering design and practice. In this paper, we propose a novel numerical approach to study soil collapse involving large deformation. The approach combines a recently developed critical state-based sand model SIMSAND for describing complex sand mechanical behaviors, and the smoothed particle hydrodynamics (SPH) method for dealing with large deformation. To show the high efficiency and accuracy of the proposed approach, a series of column collapses using discrete element method (DEM) and considering the influence of particle shapes (i.e. spherical shape (SS), tetrahedral shape (TS), and elongated shape (ES)) were adopted as benchmarks and simulated by the proposed method. The parameters of SIMSAND were calibrated from the results of DEM triaxial tests on the same samples. Compared with the results of DEM simulations and reference solutions derived by published collapse experiments, the runout distance and final height of specimens with different particle shapes simulated by SPH-SIMSAND were well characterized and incurred a lower computational cost. Comparisons showed that the novel SPH-SIMSAND approach is highly efficient and accurate for simulating collapse, and can be a useful numerical analytical tool for real scale engineering problems.
Developing critical success factors for the assessment of BIM technology adoption: Part II. Analysis and results

Building information modeling (BIM) is the process of creating and managing parametric digital models of a building (or a piece of infrastructure) during the building’s life cycle and across business functions. For developing Critical Success Factors (CSF) for assessment of BIM technology adoption at an organizational level, this second part of the paper focuses on factor analysis, causal relationship analysis, and reliability tests analysis. The first part of the paper has proposed a five-step empirical approach to derive CSFs and has identified 80 key factors (KF) that are significant attributes for BIM adoption, which are subjected to further analysis in this second part. The results find 58 CSFs that are manageable and critical for BIM adoption within architecture, engineering, and construction organizations, which insure BIM-based business objectives if they are partially or fully accomplished satisfactorily. The applicability of the CSFs for BIM adoption is illustrated using a hypothesized framework for BIM adoption assessment. The framework consists of eight BIM performance criteria and two outcomes modeled as a BIM business value chain. Although only a small amount of survey data have been collected (but of good quality), the proposed approach is shown to be able to handle this small collection of data and derive useful CSFs for the current practices of BIM adoption in Taiwan, where BIM adoption is still at an early stage.
Putting theory in its place: The relationship between universality arguments and empirical constraints

In light of its empirical undetectability, physicists have attempted to establish Hawking radiation as universal—as a phenomenon that should appear regardless of the possible details of quantum gravity, whatever those details might be. But, as pointed out in a recent article by Gryb, Palacios, and Thébault (2019), these universality arguments for Hawking radiation seem broadly unconvincing compared to the Wilsonian renormalization-group universality arguments for condensed matter physics. Motivated by their apparent failure, compared with the overwhelming success of universality arguments in so many other contexts, I address the question: in which situations should we expect to be able to construct successful universality arguments? In other words, which situations are ‘universality-argument-apt’? I distinguish between two notions of success for a universality argument: ‘strength’ and ‘relevance’. I argue that we should only expect to be able to construct universality arguments that are successful in the sense of being signiﬁcantly relevant to a given domain if 1 we know enough about how that domain’s micro-physics is structured, or 2 we are able to empirically test the domain’s macro-behaviour, or if we are in both situations at once. These conditions are useful, most obviously, as a clariﬁcation of what universality arguments are capable of. But I argue that they are also useful for two less direct reasons: they clarify the status of analogue experimentation, and thereby show us where we stand in our search for empirical conﬁrmation of Hawking radiation.
Small Changes Can Make a Great Difference

Four different types of commercially available silica nanoparticles were added to ordinary portland cement pastes to study their effects. The subsequent multiscale characterization of the material revealed that the addition of the nanoparticles induced a pozzolanic reaction that increased the amount of calcium silicate hydrate (C-S-H) gel in the paste to the detriment of portlandite. This had important implications for the hydration kinetics and the microstructure of the paste, including an increase in the initial hydration rate. A reduction of the overall porosity was also observed. The C-S-H gel of the pastes with nanosilica also showed some particular features, such as greater aluminum content and longer silicate chains. This was especially relevant because nanoindentation measurements and atomistic calculations showed that this was bound to an improvement in the mechanical properties of the C-S-H gel itself. Finally, the sum of all these factors resulted in pastes with 30% more compressive strength, which proved that, effectively, small changes can make a great difference.
Efficient Negative Cycle–Canceling Algorithm for Finding the Optimal Traffic Routing for Network Evacuation with Nonuniform Threats

A new network flow solution method is designed to determine optimal traffic routing efficiently for the evacuation of networks with several threat zones and with nonuniform threat levels across zones. The objective is to minimize total exposure (as duration and severity) to the threat for all evacuees during the evacuation. The problem is formulated as a minimum cost dynamic flow problem coupled with traffic dynamic constraints. The traffic flow dynamic constraints are enforced by the well-known point queue and spatial queue models in a time-expanded network presentation. The key to the efficiency of the proposed method is that, for any feasible solution, the algorithm can find and can cancel multiple negative cycles (including the cycle with the largest negative cost) with a single shortest path calculation made possible by applying a proposed transformation to the original problem. A cost transformation function and a multisource shortest path algorithm are proposed to facilitate the efficient detection and cancelation of negative cycles. Zone by zone, negative cycles are canceled at the border links of the zones. The solution method is proved to be optimal. The algorithm is implemented, tested, and verified to be optimal for a midsized example problem.
Additives Imparting Antimicrobial Properties to Acrylic Bone Cements

PMMA bone cements are mainly used to fix implanted prostheses and are introduced as a fluid mixture, which hardens over time. The problem of infected prosthesis could be solved due to the development of some new antibacterial bone cements. In this paper, we show the results obtained to develop four different modified PMMA bone cements by using antimicrobial additives, such as gentamicin, peppermint oil incorporated in hydroxyapatite, and silver nanoparticles incorporated in a ceramic glass matrix (2 and 4%). The structure and morphology of the modified bone cements were investigated by SEM and EDS. We perform experimental measurements on wettability, hydration degree, and degradation degree after immersion in simulated body fluid. The cytotoxicity was evaluated by MTT assay using the human MG-63 cell line. Antimicrobial properties were checked against standard strains Staphylococcus aureus, Pseudomonas aeruginosa, and Candida albicans. The addition of antimicrobial agents did not significantly affect the hydration and degradation degree. In terms of biocompatibility assessed by the MTT test, all experimental PMMA bone cements are biocompatible. The performance of bone cements with peppermint essential oil and silver nanoparticles against these two pathogens suggests that these antibacterial additives look promising to be used in clinical practice against bacterial infection.
Exploring Therapist Self-Efficacy Change Profiles Using Latent Growth Curve Analysis

ABSTRACT Objective: This study investigated the overall developmental trajectories of three conceptually progressive aspects of counseling self-efficacy, including helping skills (HS), session management (SM), and counseling challenges (CH), among beginning therapist trainees in China. Method: Participants included 103 beginning therapist trainees in a master’s level counselor training programme in China, who filled out measures of counselor self-efficacy in three waves over one year of practicum. Results: (a) Trainees showed highest initial level of HS, followed by SM, with CH being the lowest; and there were significant increases in all three aspects of self-efficacy. (b) Trainee age, gender, and personal therapy hours as a client were associated with the overall self-efficacy developmental trajectories. Specifically, elder therapist trainees reported higher initial levels of self-efficacy in HS and CH; female trainees reported lower initial level but higher increases in CH self-efficacy over practicum; and trainees who had more hours of personal therapy as clients showed higher initial levels on HS but not on other aspects or the change trajectories. Conclusion: Results in this study may inform trainers regarding trainees’ developmental characteristics, and assist them in planning targeted support to better foster trainee progress.
Obesity and Cardiometabolic Risk Factors: From Childhood to Adulthood

Obesity has become a major epidemic in the 21st century. It increases the risk of dyslipidemia, hypertension, and type 2 diabetes, which are known cardiometabolic risk factors and components of the metabolic syndrome. Although overt cardiovascular (CV) diseases such as stroke or myocardial infarction are the domain of adulthood, it is evident that the CV continuum begins very early in life. Recognition of risk factors and early stages of CV damage, at a time when these processes are still reversible, and the development of prevention strategies are major pillars in reducing CV morbidity and mortality in the general population. In this review, we will discuss the role of well-known but also novel risk factors linking obesity and increased CV risk from prenatal age to adulthood, including the role of perinatal factors, diet, nutrigenomics, and nutri-epigenetics, hyperuricemia, dyslipidemia, hypertension, and cardiorespiratory fitness. The importance of ‘tracking’ of these risk factors on adult CV health is highlighted and the economic impact of childhood obesity as well as preventive strategies are discussed.
Willingness to Take the COVID-19 Vaccine as Reported Nine Months after the Pandemic Outbreak: A Cross-National Study

Although vaccination has been identified as an effective measure of reducing the spread of COVID-19, hesitancy to obtain a vaccine for COVID-19 has been shared. The aim of this cross-national study was to examine (i) the willingness in the general population to take the COVID-19 vaccine nine months after the pandemic outbreak and (ii) the willingness to take the vaccine in relation to sociodemographic variables, whether one has experienced COVID-19 infection, concerns about health and family, and trust in the authorities’ information about the pandemic. A cross-sectional survey design was used to collect data online in Norway, the UK, the USA, and Australia. Chi-Square tests or Fisher’s Exact test were used to analyze the data. Logistic regression analysis was used to assess direct associations between the independent variables and the outcome. Within the total sample (n = 3474), living in a city, having a college education, being concerned about your own health and the health of next of kin, and trusting information provided by authorities increased the likelihood of reporting willingness to take the COVID-19 vaccine. Across all countries, participants who reported trust in the authorities' information about COVID-19 demonstrated a significantly higher plausibility of taking the COVID-19 vaccine.