Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of The Influence of Electronic Customer Satisfaction, Application Perceived Value and Electronic Service Quality on Electronic Customer Loyalty of Ruang Guru Application Users

The purpose of this study is to determine whether the perceived value and quality of e-services impact e-customer loyalty and satisfaction. All users of the educational platform constitute the population studied. In this survey, non-probability sampling technique was used. 100 samples were used in this investigation. Questionnaire was the method used in this study to collect data. Quantitative method was used in this study. Partial least squares (PLS) is a statistical method used with the support of SmartPLS. Several conclusions are drawn from this study, including: Customer satisfaction is directly affected by e-service quality. Electronic customer satisfaction is directly affected by perceived value. E-customer loyalty is directly affected by e-service quality. Electronic customer loyalty is directly influenced by perceived value. Customer loyalty is directly affected by electronic customer satisfaction. Through e-customer satisfaction, e-service quality indirectly affects e-customer loyalty. Thanks to e-customer satisfaction, perceived value indirectly affects e-customer loyalty. Research results show that customer satisfaction and loyalty are influenced by the extent to which they perceive positive value when using educational platform services to meet their learning needs. their.
Measuring the Relationship Between Self-Eﬃcacy Beliefs and Performance Attainments of First Year Engineering Students in the Programming Course

This article targets ﬁrst-year engineering studentsˆa \ euro self-eﬃcacy beliefs and their relationship with performance attainments in the ﬁrst half of the semester and the ﬁnal grade of the programming course. Self-eﬃcacy is the belief in onea \ euros capabilities to reach a desired goal or outcome by setting and implementing the required courses of action. In education, self-eﬃcacy is crucial to academic growth, for it helps students take charge of their own learning, develop their skills, set goals, and regulate their motivation in order to accomplish these goals. Considering the diﬃculty of the programming course, self-eﬃcacy plays a vital role in the challenges the students face in the programming course, their magnitude, and the skills the students use to overcome them. Self-eﬃcacy beliefs were measured through a survey administered twice to 118 engineering students in the ﬁrst half of the semester and correlated with the ﬁrst quiz of the semester and the midterm grade, then with the ﬁnal grade. The analyses targeted all engineering students, then each engineering major separately: Computer, Electrical, Mechatronics, Mechanical, and Industrial engineering. The results showed that there is in fact a relationship between studentsa \ euro self-eﬃcacy beliefs and performance in the programming course. However, the relationship was shown to be inverse in the ﬁrst half of the semester but positive with the ﬁnal grade. These ﬁndings highlight the importance of student eﬃcacy beliefs especially in the ﬁrst half of the semester while also presenting new empirical ﬁndings regarding each engineering major targeted.
Flow Scheduling with Imprecise Knowledge

Most existing data center network (DCN) ﬂow scheduling solutions aim to minimize ﬂow completion times (FCT). However, these solutions either require precise ﬂow information (e.g., per-ﬂow size), which is challenging to implement on commodity switches (e.g., pFab-ric [7]), or no prior ﬂow information at all, which is at the cost of performance (e.g., PIAS [10]). In this work, we present QCLIMB, a new ﬂow scheduling solution designed to minimize FCT by utilizing imprecise ﬂow information . Our key observation is that although obtaining precise ﬂow information can be challenging, it is possible to accurately estimate each ﬂow’s lower and upper bounds with machine learning techniques. QCLIMB has two key parts: i) a novel scheduling algorithm that leverages the lower bounds of different ﬂows to prioritize small ﬂow over large ﬂows from the beginning of transmission, rather than at later stages; and ii) an efﬁcient out-of-order handling mechanism that addresses practical reordering issues resulting from the al-gorithm. We show that QCLIMB signiﬁcantly outperforms PIAS (88% lower average FCT of small ﬂows) and is surprisingly close to pFabric (around 9% gap) while not requiring any switch modiﬁcations.
Inferring heavy tails of ﬂood distributions through hydrograph recession analysis

Floods are often disastrous due to underestimation of the magnitude of rare events. Underestimation commonly happens when the magnitudes of ﬂoods follow a heavy-tailed distribution, but this behavior is not recognized and thus neglected for ﬂood hazard assessment. In fact, identifying heavy-tailed ﬂood behavior is challenging because of limited data records and the lack of physical support for currently used indices. We address these issues by deriving a new index of heavy-tailed ﬂood behavior from a physically based description of streamﬂow dynamics. The proposed index, which is embodied by the hydrograph recession exponent, enables inferring heavy-tailed ﬂood behavior from daily ﬂow records, even of short length. We test the index in a large set of case studies across Germany encompassing a variety of climatic and physiographic settings. Our ﬁndings demonstrate that the new index enables reliable identiﬁcation of cases with either heavy-or non-heavy-tailed ﬂood behavior from daily ﬂow records. Additionally, the index suitably estimates the severity of tail heaviness and ranks it across cases, achieving robust results even with short data records. The new index addresses the main limitations of currently used metrics, which lack physical support and require long data records to correctly identify tail behaviors, and provides valuable information on the tail behavior of ﬂood distributions and the related ﬂood hazard in river basins using commonly available discharge data.
IMPACT OF CORPORATE SOCIAL RESPONSIBILITY ON THE CORPORATE BRAND OF SMALL AND MEDIUM-SIZED SERVICE BUSINESSES IN CAN THO CITY

The study was conducted with the aim of evaluating the impact of corporate social responsibility on the brand image of small and medium-sized enterprises operating in the city of Can Tho. The research found a positive relationship between the components of social responsibility and the brand image of businesses in Can Tho. Social responsibility was measured by four components: economic responsibility, ethical responsibility, philanthropic responsibility, and legal responsibility. The regression model showed that all four components of social responsibility, including (1) legal responsibility, (2) ethical responsibility, (3) philanthropic responsibility, and (4) economic responsibility, had a positive impact on the brand image of businesses in Can Tho. Specifically, legal responsibility had the strongest impact on brand image, followed by ethical responsibility and finally economic responsibility.
A hundred heart failure deaths: lessons learnt from the Dr Foster heart failure hospital mortality alert

Background Despite advances in evidence-based pharmacotherapy, the latest National Heart Failure Audit (NHFA) has shown that in-hospital mortality of heart failure (HF) remains high with large interhospital variations. University Hospitals Coventry & Warwickshire, a tertiary cardiac centre, received a mortality alert of excess HF deaths based on a high Dr Foster hospital standardised mortality ratio (HSMR). This conflicted with our local NHFA data which showed lower than national average mortality rates. Objective To review various systemic and individual processes of care in patients admitted with HF and examine the validity of HSMR in HF. Design, setting, patients A retrospective case note analysis was performed on a random sample of 100 HF deaths identified by Dr Foster from 2010 to 2016. Measures Case record reviews were performed on the following aspects of care: admission to appropriate wards, resuscitation status, palliative care input and National Confidential Enquiry into Patient Outcome and Death classification. Primary diagnosis coding, diagnostic accuracy and actual causes of death were examined to assess limitations of HSMR. Results Despite evidence of lower mortality on cardiology wards, only 28% of patients with acute HF were admitted to a cardiology-ward. Sixty four per cent were considered palliative but only 4.6% were referred to palliative care. The Do Not Attempt Resuscitation order was appropriate in 91% patients but only 74% had this in place. The primary diagnosis of HF was incorrectly coded in 34% while three cases were misdiagnosed. Conclusion HF may be coded as a cause of death in some cases where the cause is uncertain and misdiagnosed. Although HSMR has many limitations, it is a smoke alarm that should not be ignored.
UvA-DARE (Digital Academic Repository) Higher-order-structure analysis of proteins by native size-based separations coupled to optical and mass-spectrometric detectors

Protein dynamics play a significant role in many aspects of enzyme activity. Monitoring of structural changes and aggregation of biotechnological enzymes under native conditions is important to safeguard their properties and function. In this work, the potential of asymmetrical flow field-flow fractionation (AF4) to study the dynamic association equilibria of the enzyme β -D- galactosidase (β - D-Gal) was evaluated. Three commercial products of β -D-Gal were investigated using carrier liquids containing sodium chloride or ammonium acetate, and the effect of adding magnesium (II) chloride to the carrier liquid was assessed. Preservation of protein structural integrity during AF4 analysis was essential and the influence of several parameters, such as the focusing step (including use of frit-inlet), cross-flow, and injected amount, was studied. Size-exclusion chromatography (SEC) and dynamic light scattering (DLS) were used to corroborate the in-solution enzyme oligomerization observed with AF4. In contrast to SEC, AF4 provided sufficiently mild separation conditions to monitor protein conformations without disturbing the dynamic association equilibria. AF4 analysis showed that ammonium acetate concentrations above 40 mM led to further association of the dimers (“tetramerization”) of β -D- Gal. Magnesium ions, which are needed to activate β -D-Gal, appeared to induce dimer association, raising justifiable questions about the role of divalent metal ions in protein oligomerization and on whether tetramers or dimers are the most active form of β - D-Gal.
RESEARCH ARTICLE Experiences of Family Caregivers of Cancer Patients Receiving Chemotherapy

Background: Cancer is a disease which affects not only patients but also their families physically and emotionally. The purpose of this study was to determine the needs, challenges and ways of coping of caregivers of cancer patients. Materials and Methods: In the study, a phenomenological approach was used. Data were collected through semi-structured individual interviews. The study sample comprised 16 family members providing care for a cancer patient. Results: The study findings are grouped under four main themes: the impact of caregiving, masking feelings, experienced challenges and expectations, and coping. During the caregiving process, patient relatives are affected physiologically, psychologically and socially. It was determined that patient relatives hid their feelings and avoided talking about the disease for fear that they might upset the patient, and that they had difficulty in coping with the patient’s reactions during the treatment process. Family members had difficulties arising from the health system, hospital conditions and treatment in addition to transportation and financial problems. Support is very important in coping, but it was determined that some of the relatives of patients did not receive adequate support. Patient relatives expect that health care professionals should provide them with more information about their patient’s condition and the course of the disease that their patients should be dealt with by the physicians specialized in cancer, and that psychological support should be provided both for them and for their patient. Conclusions: During the caregiving process, family members are faced with many difficulties and they exhibit different coping behaviors which health care professionals should take into account.
Review of antihemophilic factor injection for the routine prophylaxis of bleeding episodes and risk of joint damage in severe hemophilia A

Individuals with severe factor VIII deficiency experience recurrent hemorrhages and develop progressive joint damage. Large retrospective, nonrandomized studies of patient cohorts followed over decades show that factor prophylaxis initiated at an early age before the onset of recurrent bleeding reduces the incidence of hemophilic arthropathy. Two recent prospective, multicenter, randomized trials conducted in Europe (the ESPRIT study) and the USA (the Joint Outcome Study) confirm the efficacy of prophylaxis in the prevention of hemarthroses and arthropathy. Regular prophylaxis initiated in early childhood enhances the quality of life for patients with severe hemophilia and reduces the risk of inhibitor development. The substantial costs of such preventative therapy may be offset by the reduced expenditures that the care of degenerative joint disease in adult hemophilia patients would otherwise require.
The simple low-cost guide to athlete fatigue monitoring

As the demands of training and competition increase so does the potential risk of injury and illness to the athlete whilst seeking to maximize their adaptive processes to promote optimal performance. Therefore, as a strategy to mitigate this risk, strength and conditioning coaches need reliable and valid monitoring tools to track an athlete’s status throughout training to ensure progression of adaptation, and that the athlete remains healthy throughout the adaptation process. The purpose of this article is to provide the reader an evidence-driven outline of basic, simple, and cost-effective monitoring tools which are reliable and valid to observe the fitness/fatigue paradigm and track overall athlete physical adaptation and health throughout the training process, suitable for most settings. A weekly example calculating sessional ratings of perceived exertion (sRPE), training load, monotony, and strain is provided along with a basic monitoring system as a guide for the reader.
SHREC’08 entry: Shape based face recognition with a Morphable Model

We present a method for face recognition by fitting a 3D Morphable Model to shape data. Fitting is done with a a robust nonrigid ICP algorithm. For recognition, it is possible to use either the fitted model parameters, or the correspondences induced by the model. We compare different similarity measures, and show that a 3D Morphable Model allows very robust retrieval results.
Structural and dynamical properties of sperrylite (PtAs2): a molecular dynamics study

There is a demand for platinum group minerals (PGMs) due to the increase in various applications such as electronics, industrial and medical. Sperrylite (PtAs2) is one of the major PGMs, however its recovery by flotation has been reported to be poor. The understanding of bulk properties of PtAs2 is still necessary for the recovery of minerals from ore deposits. The structural and dynamical properties of the PtAs2 are investigated using a computational modelling technique, i.e. molecular dynamics (MD). An accurate MD simulation requires the availability of robust interatomic potentials. In this article, the refined potential model was able to reproduce the lattice parameters and elastic properties, which are in good agreement with those from literature. Furthermore, the potential model was able to predict the melting point of PtAs2 at higher temperatures.
Consistency analysis for digitized three-dimensional Talairach's Co-Planner Stereotactic Atlas of the human brain

Talairach's Co-Planner Stereotactic Atlas of the Human Brain (hereafter, for this paper. Talairach's) has been widely used as a guide for stereotactic neurosurgery. Using this atlas many research groups including ours have built computer digitized 3-D volume atlases. Atlas construction of this kind is a complicated process. Accuracy and consistency of resulting volumes are uncertain. There are three different series in this version of Talairach's: axial, sagittal, and coronal. Quantitative tests of consistency among these series have not been designed nor performed. Our objective is to study the consistency of 3-D volume atlases generated from the three different series in Talairach's atlas. Twenty-eight axial images, 38 coronal images and 36 sagittal images from the atlas are scanned into the computer. Images are re-aligned and normalized based on existing grids that appear on the atlas. Three brain volume atlases were generated from the corresponding series. Tri-linear interpolation, segmentation, multi-planer reconstruction, and 3-D surface rendering tools were used to visualize and analyze 3-D structures. Analysis of consistency was based on shape observances, area values, and volume values. Structures in the thalamus, pallidus, and caudate were segmented from three volume atlases for the study. Our results indicate that volume atlases generated from axial, coronal, and sagittal series of Talairach's stereotactic atlas are spatially consistent with relative degree of accuracy, and therefore is reliable. These data can be used to make computer digitized 3-D volume atlases for stereotactic surgery.
Seismic Hazard Analysis at Los Mochis, Sinaloa, Mexico

We studied the regional seismic hazard of the state of Sinaloa with emphasis on Los Mochis city, located in the municipality of Ahome, Sinaloa. Acceleration in rock was determined for different return periods (Tr = 475, 975, and 2475 years). We compared these results with the spectral accelerations proposed in the buildings seismic design Handbook by Earthquake of the Federal Electricity Commission (commonly applied in Mexico when absence of local regulations). It was observed that the seismic hazard was very sensitive to changes in the geometry of the source that contributes most to seismic hazard of the city. Particularly, PGA values were compared for 475 years, and it was observed that the increase in the PGA value due to that adjustment was approximately 35%. Additionally we performed a zonation study in the city, based on microtremors using single-station by applying horizontal-to-vertical spectral ratios (HVSR) analysis to 32 sites within the city. Results show low variations with higher values of natural period of resonance (To) in the southwest of the city. We explore a possible response for the entire valley by calculating a seismic hazard curve in terms of amplification factors.
DiLiGenT-Π: Photometric Stereo for Planar Surfaces with Rich Details – Benchmark Dataset and Beyond

Photometric stereo aims to recover detailed surface shapes from images captured under varying illuminations. However, existing real-world datasets primarily focus on evaluating photometric stereo for general non-Lambertian reflectances and feature bulgy shapes that have a certain height. As shape detail recovery is the key strength of photometric stereo over other 3D reconstruction techniques, and the near-planar surfaces widely exist in cultural relics and manufacturing workpieces, we present a new real-world dataset DiLiGenT-Π containing 30 near-planar scenes with rich surface details. This dataset enables us to evaluate recent photometric stereo methods specifically for their ability to estimate shape details under diverse materials and to identify open problems such as near-planar surface normal estimation from uncalibrated photometric stereo and surface detail recovery for translucent materials. To inspire future research, this dataset will open soruced at https://photometricstereo.github. io/diligentpi.html.
Reverse Monte Carlo and molecular-dynamics approaches to EXAFS analysis

The reverse Monte Carlo and molecular-dynamics methods for the analysis of extended X-ray absorption fine-structure (EXAFS) data are reviewed. These methods allow one to obtain a three-dimensional structural model of a material from the EXAFS spectrum, taking into account the effects of thermal and static disorder. The advantages and limitations of these methods are discussed, and some examples of their applications to various materials are presented.
Applying the Computer Aided Systems in Education Process

Abstract The article summarizes the experience of laboratory technical subjects teaching methodologies using a number of software products. The main aim is to modernize the teaching process in accordance with the requirements of today – based on information technology. Increasing of the study attractiveness and effectiveness is due to the introduction of Computer Aided (CA) technologies in the learning process. This paper discussed the areas where individual CA system used and concrete examples used in the education process. They are CAD system Catia V5, FluidSIM created and simulates the pneumatics and electropneumatic schemes and circles, software witness used for simulation of material flow planning and RobotStudio that illustrates operated Robot in his own manipulated area. Environment using CA systems are briefly presented in each chapter.
Prebiotic ﬁbres dose-dependently increase satiety hormones and alter Bacteroidetes and Firmicutes in lean and obese JCR:LA-cp rats

There is a growing interest in modulating gut microbiota with diet in the context of obesity. The purpose of the present study was to evaluate the dose-dependent effects of prebiotics (inulin and oligofructose) on gut satiety hormones, energy expenditure, gastric emptying and gut microbiota. Male lean and obese JCR:LA-cp rats were randomised to either of the following: lean 0% ﬁbre (LC), lean 10% ﬁbre (LF), lean 20% ﬁbre (LHF), obese 0% ﬁbre (OC), obese 10% ﬁbre (OF) or obese 20% ﬁbre (OHF). Body composition, gastric emptying, energy expenditure, plasma satiety hormone concentrations and gut microbiota (using quantitative PCR) were measured. Caecal proglucagon and peptide YY mRNA levels were up-regulated 2-fold in the LF, OF and OHF groups and 3-fold in the LHF group. Ghrelin O -acyltransferase mRNA levels were higher in obese v. lean rats and decreased in the OHF group. Plasma ghrelin response was attenuated in the LHF group. Microbial species measured in the Bacteroidetes division decreased, whereas those in the Firmicutes increased in obese v. lean rats and improved with prebiotic intake. Biﬁdobacterium and Lactobacillus increased in the OHF v. OC group. Bacteroides and total bacteria negatively correlated with percentage of body fat and body weight. Enterobacteriaceae increased in conjunction with glucose area under the curve (AUC) and glucagon-like peptide-1 AUC. Bacteroides and total bacteria correlated positively with ghrelin AUC yet negatively with insulin AUC and energy intake ( P , 0·05). Several of the mechanisms through which prebiotics act (food intake, satiety hormones and alterations in gut microbiota) are regulated in a dose-dependent manner. The combined effects of prebiotics may have therapeutic potential for obesity.