Miracle-dz/UniFAR-FTUs huggingface dataset:
A multiscale wear model for reciprocating rod stepseal under mixed lubricating conditions based on linear elasticity

The macroscale simulation methods are commonly used to study the wear of reciprocating seals to analyze macroscopic effects on the seal wear. There is a lack of numerical method for analyzing the wear of reciprocating seal under mixed lubricating conditions. According to experimental studies, some microscopic factors, including lubrication characteristics and surface roughness, are important for wear of reciprocating seal. Hence, in the presented research, a numerical model is proposed to analyze the effects of microscopic factors on reciprocating rod stepseal wear. O-ring of the stepseal is considered to be hyper elastic, while Turcon ring of the stepseal, which directly contacts with rod surface, is assumed to be linear elastic. The effects of microscopic aspects, including lubrication characteristics, are highlighted and analyzed. Furthermore, the seal wears under different operating conditions are analyzed and discussed. The simulation results show that the seal wears during outstroke and instroke are different. With the rod speed increasing, the wear distance rate increases during outstroke, while decreases during instroke. The seal wear increases with the sealed pressure increasing and/or compression rate increasing. With the increase in the fluid viscosity, the wear of the seal increases during outstroke and decreases during instroke. With the increase in the seal surface roughness, the seal wear decreases during outstroke and increases during instroke.
Survival rate and outcomes of cardiopulmonary resuscitation

Aims: Restoring the vital functions of heart and lung and the efforts to establish circulation and respiration are among the most important measures of professional resuscitators in health centers. The aim of this study was to investigate the rate of survival and the outcomes of cardiopulmonary resuscitation in educational hospitals of Tehran. Methods: This cross-sectional longitudinal study was conducted during 5 months; in 3 educational and university selected hospitals on 250 patients underwent cardiopulmonary resuscitation procedure. Data were collected with standard form of recording resuscitation cases in hospital (Utstein) including various variables such as age, sex, working shift, location of arrest, cause of arrest, initial cardiac rhythm, short and long term resuscitation outcomes. Data were analyzed with SPSS 14 statistical software and descriptive and inferential statistical tests (Chi-square and logistic regression). Results: 59.6% of participants were male and the average age of total sample was 57.17±21.10 years old. 64.4% of CPR attempt was unsuccessful and were led to patients' death. 28.4% of cases were successful in Short-term. Only 7.2% of studied cases had long-term survival after resuscitation procedure and were discharged from
Fishing restrictions and remoteness deliver conservation outcomes for Indonesia's coral reef fisheries

Coral reef fisheries depend on reef fish biomass to support ecosystem functioning and sustainable fisheries. Here, we evaluated coral reefs across 4,000 km of the Indonesian archipelago to reveal a large gradient of biomass, from <100 kg/ha to >17,000 kg/ha. Trophic pyramids characterized by planktivore dominance emerged at high biomass, suggesting the importance of pelagic pathways for reef productivity. Total biomass and the biomass of most trophic groups were higher within gear restricted and no‐take management, but the greatest biomass was found on unmanaged remote reefs. Within marine protected areas (MPAs), 41.6% and 43.6% of gear restricted and no‐take zones, respectively, met a global biomass target of 500 kg/ha, compared with 71.8% of remote sites. To improve conservation outcomes for Indonesia's biodiverse and economically important coral reef fisheries, our results suggest to: (1) strengthen management within Indonesia's existing MPAs and (2) precautionarily manage remote reefs with high biomass.
Cholesterol binding to the sterol-sensing region of Niemann Pick C1 protein confines dynamics of its N-terminal domain

Lysosomal accumulation of cholesterol is a hallmark of Niemann Pick type C (NPC) disease caused by mutations primarily in the lysosomal membrane protein NPC1. NPC1 contains a transmembrane sterol sensing domain (SSD), which is supposed to regulate protein activity upon cholesterol binding, but the mechanisms underlying this process are poorly understood. Using atomistic simulations, we show that the binding of cholesterol to the SSD of NPC1 suppresses conformational dynamics of the luminal domains which otherwise bring the luminal N-terminal domain (NTD) closer to the lipid bilayer. The presence of an additional 20% membrane cholesterol has negligible impact on this process. We propose that cholesterol acts as an allosteric effector, and the modulation of NTD dynamics by the SSD-bound cholesterol constitutes an allosteric feedback mechanism in NPC1 which controls cholesterol abundance in the lysosomal membrane.
Spatial and Temporal Distribution of Large Igneous Provinces in the Indian Shield – Highlights of Recent Investigations

Indian Shield – Highlights of Recent Investigations RAJESH K SRIVASTAVA1,*, AMIYA K SAMAL1, RICHARD E ERNST2,3, ULF SÖDERLUND4 and RAVI SHANKAR5 Centre of Advanced Study in Geology, Institute of Science, Banaras Hindu University, Varanasi 221 005, India Department of Earth Sciences, Carleton University, Ottawa, ON K1S5B6, Canada Faculty of Geology and Geography, Tomsk State University, 36 Lenin Ave, Tomsk 634050, Russia Department of Geology, Lund University, Sölvegatan 12, SE-223 62 Lund, Sweden CSIR-National Geophysical Research Institute, Uppal Road, Hyderabad 500 007, India
THE FACTORS THAT INFLUENCING THE JOB PERFORMANCE OF DRIVERS WHO WORKS IN THE 4.0 ONLINE TRANSPORTATION INDUSTRY

The purpose of this research is to test the effect of self-efficacy, training, wages and reward satisfaction to the driver’s job performance working in Indonesia’s online transportation. Measurement tool used in this research was the questionnaire given to 150 respondents who are working in Indonesia’s online transportation company. The data analysis used is the SEM (Structural Equation Modeling). The result shows that self-efficacy, training, wages and reward satisfaction has positive impact on job performance. This finding provides practical implications to companies in the 4.0 industry especially online transportation in Indonesia, to enhance the quality of training, self-efficacy, wages and reward satisfaction so that the driver’s performance becoming better and has positive impact to the company.
Adhesion at Solid/Liquid Interfaces

12 Chapter 1: Introduction . 14 1.1 Basic surface thermodynamics . 15 1.2 Droplet detachment from a fiber . 21 1.3 Adhesion on conducting surface . 23 1.3. 1 Water adhesion on conducting graphene . 24 Chapter 2: Water adhesion on hydrophilic surfaces . 29 2.1 Droplet detachment from a fiber . 29 2.2 Methodology . 30 2.2.1 Force fields. 30 2.2.2 Simulation details. 33 2.3 Results and discussions . 38
Integration of eucs variables into delone and mclean models for e-government evaluation: Conceptual models

This research was based on the modification of the DeLone and McLean information systems models by adding end-user computing satisfaction variables to determine the success factors for e-government systems. This model was adopted due to the aim of this study to investigate the factors responsible for the successful implementation of e-government by bringing it closer to public value. However, while the DeLone and McLean models focus more on the information system approach, the model proposed was on the premise that system quality (SQ), information quality (IQ), content (CO) and format (FO) are determinants of e-government system user satisfaction. Furthermore, the net benefits through a five-dimensional public value determinants were used to evaluate e-government websites from a community perspective. Responses from 150 communities were analyzed by smart PLS 3.0 using structural equation models to examine the relationship between the constructs of the proposed model. This study contributes to the research gap in adopting DeLone and McLean's model in the e-government due to the limitation in its validation for different contexts. The results support the effect of content variables on user satisfaction and simultaneously prove that it is possible to explain net benefits, with an r-squared value of 69.1%, using the variables in the proposed model. The five dimensions of public value adopted all proved to have a positive influence with a confidence level of 95%. The level of construct significance identified is able to help in the formulation of strategies to improve e-government services.
Artificial Intelligence Identification of Multiple Microfossils from the Cambrian Kuanchuanpu Formation in Southern Shaanxi, China

The Cambrian Kuanchuanpu Formation in southern Shaanxi, China is a critical window for the understanding of the Cambrian explosion, because of abundant and various exceptionally preserved metazoans and embryo fossils yielded. The efficiency of traditional sample manually selecting with microscopes is quite low and hinder the discoveries of new species, thus recognition and classification of microfossils by artificial intelligence (AI) is substantially in the request. In this paper, we develop a procedure for fossil area segmentation in common multi‐typed mixed photos by improved watershed algorithm. And for better fossil recognition, previous histogram of oriented grandient (HOG) algorithm is replaced by scale invariant feature transform (SIFT), which is feasible for the segmented images and increase the accuracy significantly. Thus, the scope of application of AI fossil recognition can be extended form single fossil image to multi‐typed mixed images and the reliability is also secured, as the result of our test presents a high (at least 84%) accuracy of fossil recognition.
Parvalbumin+ and Npas1+ Pallidal Neurons Have Distinct Circuit Topology and Function

The external globus pallidus (GPe) is a critical node within the basal ganglia circuit. Phasic changes in the activity of GPe neurons during movement and their alterations in Parkinson's disease (PD) argue that the GPe is important in motor control. Parvalbumin-positive (PV+) neurons and Npas1+ neurons are the two principal neuron classes in the GPe. The distinct electrophysiological properties and axonal projection patterns argue that these two neuron classes serve different roles in regulating motor output. However, the causal relationship between GPe neuron classes and movement remains to be established. Here, by using optogenetic approaches in mice (both males and females), we showed that PV+ neurons and Npas1+ neurons promoted and suppressed locomotion, respectively. Moreover, PV+ neurons and Npas1+ neurons are under different synaptic influences from the subthalamic nucleus (STN). Additionally, we found a selective weakening of STN inputs to PV+ neurons in the chronic 6-hydroxydopamine lesion model of PD. This finding reinforces the idea that the reciprocally connected GPe–STN network plays a key role in disease symptomatology and thus provides the basis for future circuit-based therapies. SIGNIFICANCE STATEMENT The external pallidum is a key, yet an understudied component of the basal ganglia. Neural activity in the pallidum goes awry in neurologic diseases, such as Parkinson's disease. While this strongly argues that the pallidum plays a critical role in motor control, it has been difficult to establish the causal relationship between pallidal activity and motor function/dysfunction. This was in part because of the cellular complexity of the pallidum. Here, we showed that the two principal neuron types in the pallidum have opposing roles in motor control. In addition, we described the differences in their synaptic influence. Importantly, our research provides new insights into the cellular and circuit mechanisms that explain the hypokinetic features of Parkinson's disease.
Controlled synthesis and self-assembly of ZnFe2O4 nanoparticles into microspheres by solvothermal method

Zinc ferrite (ZnFe2O4) colloidal nanoparticle assemblies (CNAs) were prepared controllably by solvothermal synthesis without the assistance of a template or surfactant. The x-ray diffraction (XRD) results confirm the formation spinel structure of ZnFe2O4 with the grain size around 11 ± 3 nm. Scanning electronic microscope (SEM) images show that the CNAs are sub-microspheres self-assembled by nanoparticles with size about 284–346 nm changed with reaction conditions. The composition of elements Zn, Fe and O in the ZnFe2O4 CNAs is identified by using EDAX analysis. Room-temperature vibration magnetic measurements (VSM) demonstrates the as-obtained ZnFe2O4 CNAs showing superparamagnetic behavior with saturation magnetization values between 58 and 66 emu g−1. The UV–vis diffuse reflectance (UV–vis DRS) analysis revealed that the band gap energy is increased (blue shift) with decrease of particle size. The nitrogen adsorption-desorption analysis shows that CNAs are meso and microporous with a specific surface area from 71.68 to 92.92 m2g−1. The reaction time and different amounts of anhydrous sodium acetate (NaAc) influence the crystallinity, size, magnetic property and surface area of the ZnFe2O4 CNAs.
Evaluating the Use of Augmented Reality Technology to Improve Construction Management Student’s Spatial Skills

ABSTRACT There is a continual challenge within the construction industry to achieve schedule, budget, and quality expectations at a time when projects are more complex, and their design and assembly involve some measure of abstract spatial skills. The outcomes of teaching these spatial skills in today’s construction management classroom often fall short of meeting the needs of industry. This research advocates the use of augmented reality – which allows one to view the real world with the addition of external information intended to provide a new understanding of what is being seen. This study found that students perceived ease of effort and satisfaction by using augmented reality to help them with their spatial skills learning. In fact, it was discovered that the use of augmented reality benefited the cognitive process. Augmented reality is fast proving advantageous in many other industries, and with the availability of smaller, more powerful consumer mobile devices, augmented reality can become a practical tool for the construction industry as well. The addition of these technologies, as a complement to drafting and plan reading courses, can enhance postsecondary education, in addition to preparing the construction industry’s future workforce.
Evaluation of nosocomial infection rates in diabetic patients undergoing coronary artery bypass grafting (CABG) surgery

V ACKNOWLEDGMENTS.viii LIST OF TABLES.ix LIST OF FIGURES.xi CHAPTER 1: INTRODUCTION . 15 1.1 Background of the problem . 17 1.2 Statement of the problem . 19 1.3 Objectives of the study. 22 1.4 Significance of the study . 23 CHAPTER 2: REVIEW OF LITERATURE . 25 2.
Preparation of Cookies with Various Native Seaweeds Found on the Korean Coast

ABSTRACT We investigated the quality characteristics of cookies prepared using different seaweeds native to the Korean coast. Flour made from four different seaweed species (Sargassum fulvellum, Enteromorpha linza, Codium fragile, and Hizikia fusiforme) was used to replace 5% of the regular flour while preparing the cookies. The seaweeds significantly affected solvent retention capacity, thus interfering with gluten network formation. Consequently, the addition of seaweed changed several variables in the cookies, such as moisture content, spread factor, and breaking stress. In sensory evaluation, cookies with Hizikia fusiforme were the most preferred, confirming the possibility of developing cookie products using this seaweed species.
Systematically variable geometry and architecture of incised‐valley fills controlled by orbital forcing: A conceptual model from the Pennsylvanian Breathitt Group (Kentucky, USA)

Incised‐valley fills preserved within ancient coastal to shallow‐marine successions represent important archives of environmental and sea‐level change. Most current knowledge about the origin of incised valleys stems from Quaternary case studies; however, research on pre‐Quaternary examples can shed light on valley formation and evolution across longer timespans. This article describes different types of incised‐valley fills from Lower to Middle Pennsylvanian fluvio‐deltaic successions of the Breathitt Group (eastern Kentucky), accumulated in the Central Appalachian Foreland under prevalent glacioeustatic forcing driven by Gondwanan glaciations. Based on well‐established criteria for their recognition, numerous incised‐valley fills were identified from outcrop and subsurface data through more than 300 m of clastic successions consisting of fourth‐order stratigraphic sequences stacked into third‐order composite sequences. Incised‐valley fills were categorized into three archetypes based on lateral extent and aspect ratio (relatively wide versus narrow valley fills), nature of infill (fully continental versus mixed marine and continental facies associations) and relationships to underlying coal zones (truncating versus non‐truncating). The systematic occurrence of each incised‐valley fill type at specific stratigraphic positions within every third‐order sequence suggests control by a periodic allogenic factor. Valley‐fill archetypes are interpreted in terms of variable accommodation‐supply ratios driven by variable duration of formative base‐level cycles. For example, relatively wide incised‐valley fills with alluvial infill evolved during long‐lived cycles whose prolonged base‐level drawdown maintained low accommodation/supply ratios. Deeper valleys with low aspect ratios and mixed marine‐continental infills were generated by short‐lived base‐level drawdown that forced higher accommodation/supply ratios. Available chronological data for the studied successions consent to estimate base‐level cycles spanning 104–5 years that were likely modulated by interference patterns of orbital parameters (obliquity and eccentricity) via global climate and glacioeustatic fluctuations. This conceptual model, relating incised‐valley fill morphometry and internal architecture to orbital forcing patterns, provides a possible approach to predicting and interpreting incised‐valley fill variability through successions accumulated during icehouse conditions.
Silvicultural implications from analyzing light induced height growth development of eight North American juvenile tree species in mixed-conifer forests

Modern silviculture is based on simulating natural disturbance regimes on the one side and reducing their impact on the other side. Disturbances modify light regimes of forests along complex spatial patterns, and species participating in the ecosystem tend to have unique adaptations to the multitude of light conditions found in forests. We studied the height growth reaction of saplings from eight native North American tree species to different light availabilities in a Sierra Nevada mixed conifer forest. Large height growth differences occurred between species. Height growth increased for most species with increasing light availability. However, black oak but also incense cedar and tanoak reached an optimal value or saturation point of light availability at intermediate light levels, above which their growth stayed the same or slightly declined on average. A variety of stand conditions, representing the range from early to late successional stages, are beneficial to maintain tree species diversity across stands. Such a gradient of conditions can be achieved by diversifying silvicultural regimes and using regeneration approaches that mimic a range of disturbance intensities. The results add to knowledge on the species’ ecology by specifying their height growth in dependence of a quantified light environment. The quantification of the light environment can directly be linked to % canopy cover and a range of regeneration methods, respectively. With this, the results may help achieve a more precise and target-oriented management of Sierra Nevada mixed conifer forests.
Model Pembelajaran Interaktif dan Keterampilan Sosial terhadap Hasil Belajar Kognitif Siswa pada Pembelajaran Sejarah di SMA

Abstract: This research aims to determine the effect of interactive learning models on student cognitive learning outcomes, determine the effect of social skills on students 'cognitive learning outcomes, and determine the effect of interaction between interactive learning models and social skills on students' cognitive learning outcomes in history learning in high school. This research was a quasi-experimental with factorial design. The research samples were class X IPS 2 as an experimental class and class X IPS 3 as a control at SMAN 1 Gondanglegi. The research instruments were test, questionnaire, and learning implementation observation sheet. Data analysis technique was two-way ANOVA. The results of this research shows that there is is impact on the use of interactive learning models on student cognitive learning outcomes, there is impact of students' social skills on student cognitive learning outcomes, and there is impact of the interaction between interactive learning models and social skills on student cognitive learning outcomes.Abstrak: Penelitian ini bertujuan untuk mengetahui pengaruh model pembelajaran interaktif terhadap hasil belajar kognitif siswa, mengetahui pengaruh keterampilan sosial terhadap hasil belajar kognitif siswa, dan mengetahui pengaruh interaksi antara model pembelajaran interaktif dan keterampilan sosial terhadap hasil belajar kognitif siwa dalam pembelajaran sejarah di SMA. Bentuk penelitian ini adalah eksperimen semu dengan desain faktorial. Sampel penelitian adalah kelas X IPS 2 sebagai kelas eksperimen dan kelas X IPS 3 sebagai kelas kontrol di SMAN 1 Gondanglegi. Instrumen yang digunakan adalah tes, angket, dan lembar observasi keterlaksanaan pembelajaran. Teknik analisis data menggunakan anova dua jalur. Hasil penelitian menunjukkan bahwa ada pengaruh penggunaan model pembelajaran interaktif terhadap hasil belajar kognitif siswa, ada pengaruh keterampilan sosial terhadap hasil belajar kognitif siswa dan ada pengaruh interaksi antara model pembelajaran interaktif dan keterampilan sosial terhadap hasil belajar kognitif siswa.
Softening the Hearts of Business Students: The Role of Emotions in Ethical Decision Making

Business schools face a dilemma of promoting prosocial values while maintaining the principles of self-interest and profit maximization. In response to recent research suggesting that emotions may be the key to ethical decision making, we ask two basic questions: Do emotions make business students more ethical? Is business school education inhibiting ethical decision making? Drawing on theories on moral emotions and ethical decision making, we hypothesize that moral emotions will enhance ethical decision making, whereas hedonic emotions will diminish ethical decision making. Furthermore, we predict that a higher level of business school education will strengthen the negative relationship between hedonic emotions and ethical decision making while weakening the positive relationship between moral emotions and ethical decision making. Using a scenario-based repeated-measure design, we tested our hypotheses with 217 students from secondary schools, undergraduate business majors, and MBA programs in Hong Kong. Multilevel modeling results supported our hypotheses, suggesting that business school students may benefit from education on the unique roles of moral and hedonic emotions in the ethical decision-making process. We conclude with a summary of the theoretical and practical implications of our findings.