Miracle-dz/UniFAR-FTUs huggingface dataset:
THE USE OF MODIFIED UNIFIED THEORY OF ACCEPTANCE AND USE OF TECHNOLOGY 2 MODEL TO ANALYZE FACTORS INFLUENCING CONTINUANCE INTENTION OF E-PAYMENT ADOPTION (A CASE STUDY OF GO-PAY FROM INDONESIA)

: Indonesia online business continues to grow rapidly starting from 2011. In the early 2017, the value of online transactions in Indonesia during the year 2016 reached US $ 4.89 billion. The growth of online transactions encourages the development of technology for electronic payment systems. One of the e-payment services that is popular in Indonesia is Go-Pay. Go-Pay is a virtual wallet service for payments of transactions inside Go-Jek application. Go-Pay is also one of the fifth largest e-money in Indonesia. The average of Go-Jek users who use Go-Pay estimated more than 1.5 times compared to users who pay using cash. Go-Pay has achieved more than 50% of transactions in Go-Jek services. It is said to be one of Go-Pay success indicators in promoting non-cash and cashless society transactions. Since the success of Go-Pay, it is important to analyze factors influencing continuance intention of Go-Pay users in adopting Go-Pay in order to increase the future Go-Pay service positions. This study intends to propose a measurement tool based on the Modified Unified Theory of Acceptance and Use of Technology 2 Model from Venkatesh et. al., (2012). Trust variable has been added as a new factor to this modified UTAUT2 model. The measurement tool has been tested by using 40 respondents. The pilot test reveals that the measurement model fulfils the requirements of validity and reliability. Therefore, this proposed measurement material is ready to be used in further study.
Dehydroepiandrosterone sulfate/free androgen index ratio predicts a favorable metabolic profile in patients with polycystic ovary syndrome

Abstract Potential effect of hyperandrogenemia on metabolic disturbances in polycystic ovary syndrome (PCOS) has always been a matter of interest. We analyzed the records of 125 patients with PCOS and 54 age-matched healthy women. All participants underwent biochemical and hormonal assessment and a 75 g oral glucose tolerance test was performed. PCOS and control groups were comparable in terms of age. Dehydroepiandrosterone sulfate/free androgen index (DHEAS/FAI) ratio was negatively correlated with body mass index (BMI) (p < .001), fasting glucose (p = .02), area under the curve (AUC) of glucose (p = .03), AUC of insulin (p = .001), homeostasis model assessment-estimated insulin resistance (HOMA-IR) (p < .001), and triglycerides (TG) (p = .009), and positively correlated with insulin sensitivity index (ISI) (p < .001) and high-density lipoprotein cholesterol (HDL-C) (p < .001) among PCOS patients. In logistic regression analysis, higher DHEAS/FAI ratio levels were associated with lower risk of low HDL-C [RR(95%CI); 0.97(0.95–0.98); p < . 001] as well as atherogenic dyslipidemia (TG/HDL-C) [RR(95%CI); 0.97(0.94–0.99); p = . 035] even after adjustment for BMI in the PCOS group. Androgens, DHEAS and FAI act differently on metabolic parameters. Our results demonstrate that high DHEA-S/FAI ratio levels are associated with a more favorable metabolic profile.
Creation of a pronunciation dictionary for automatic speech recognition : a morphological approach

The Pronunciation dictionaries or lexicons play an important role in guiding the predictive powers of the Automatic Speech Recognition (ASR). As the use of automatic speech recognition systems increases, there is a need for the development of dictionaries that cover a large number of inflected word forms to enhance the performance of ASR systems. This paper describes the morphological-driven approach to the creation of a more comprehensive and broadly representative Northern Sotho pronunciation dictionary for ASR systems to augment the existing data-driven methods of dictionary creation. The Preliminary results of an ASR system using morphologically–based rules for a dictionary creation are discussed.
Switchless Calls Made Practical in Intel SGX

Intel Software Guard Extensions (SGX) is an extension to x86 architecture that enables user-level code to create trusted memory regions, called enclaves. However, the security provided by enclaves is not free: one primary performance overhead is enclave switches, which are expensive and can be triggered frequently by cross-enclave function calls. Previous works propose a technique named Switchless Calls, which avoids enclave switches by using worker threads/cores to execute function calls asynchronously. But we find this technique is questionable in terms of efficiency: is it always wise to trade extra CPU cores for reduced enclave switches? In this paper, we make Switchless Calls a practical technique by ensuring that it improves performance efficiently. To this end, we investigate on what conditions can Switchless Calls improve performance efficiently by establishing a performance model via both mathematical and simulation analysis. Then, we formulate the notion of worker efficiency and design an efficiency-based scheduling algorithm that can automatically adjust the number of workers in response to changing workloads. Guided by the insights obtained from our performance modeling and worker scheduling, we integrate Switchless Calls into Intel SGX SDK as an official feature. We evaluate the performance of our implementation in various benchmarks and the results demonstrate the practicality of Switchless Calls.
Gradient estimates and entropy formulae of porous medium and fast diffusion equations for the Witten Laplacian

We consider gradient estimates to positive solutions of porous medium equations and fast diffusion equations: $$u_t=\Delta_\phi(u^p)$$ associated with the Witten Laplacian on Riemannian manifolds. Under the assumption that the $m$-dimensional Bakry-Emery Ricci curvature is bounded from below, we obtain gradient estimates which generalize the results in [20] and [13]. Moreover, inspired by X. -D. Li's work in [19] we also study the entropy formulae introduced in [20] for porous medium equations and fast diffusion equations associated with the Witten Laplacian. We prove monotonicity theorems for such entropy formulae on compact Riemannian manifolds with non-negative $m$-dimensional Bakry-Emery Ricci curvature
Competition in Product Design: An Experiment Exploring Innovation Behavior

We experimentally investigate competition in innovation in a patent race scenario. Pairs of subjects compete as seller firms on a duopoly market, engaging in risky search investments. Successful innovation is rewarded through temporary monopoly rents. Throughout the interaction, subjects receive feedback on own and other's search success and profit margin. Partitioning subjects into subgroups of investor types reveals that the majority of subjects condition investments on the degree of competition as measured by sales shares, while for others no correlation is ascertained. Heterogeneity in individual risk attitudes and differing experiences with related search tasks may explain this finding.
Vaspin, a Compensatory Mechanism Against High Glucose Levels Since Birth?

Objective: Hormones produced by fat tissue, adipokines, produced during intrauterine life have recently been implicated in fetal growth. Vaspin is an adipokine expressed in visceral adipose tissue and has insulin-sensitizing effects. Elevated serum vaspin concentrations are associated with alterations in insulin sensitivity. We aimed to determine if vaspin concentrations in cord blood from healthy, term newborns differ among those born small for gestational age (SGA), appropriate for gestational age (AGA), and large for gestational age (LGA). A secondary objective was to determine whether an association existed between vaspin and anthropometric measurements, glucose and insulin levels in the newborn. Methods: The study population included healthy term newborns, 30 subjects in the SGA, 12 in the AGA, and 34 in the LGA group. Anthropometry was documented in all subjects. Blood was taken from the umbilical cord vein from each child for later analysis for vaspin, insulin and glucose concentrations. Results: Cord blood vaspin, insulin and glucose concentrations were not different between the three study groups. A negative correlation between vaspin and glucose concentrations was demonstrated in the whole cohort (r=-0.364, p=0.001). This correlation was also observed in the LGA group (r=-0.482, p=0.004). Glucose concentrations significantly predicted vaspin concentrations (r2=0.132, p=0.001). Conclusion: We found a negative association between glucose and vaspin concentrations in umbilical cord blood. In addition there was a predictive association between blood glucose and resulting vaspin concentration, suggesting that vaspin can be used as a predictor of alterations in the insulin-glucose metabolism from birth.
Intelligent System of Adaptive Training Process Based on Neurofeedback

In this paper, some questions regarding design of intellectual systems using biological feedback for user mental state management are considered. An example implementation of such system based on the Psychology Experiment Building Language (PEBL) and EMOTIV EPOC+ neurointerface is shown. The results of the comparison of the EMOTIV EPOC+ interface and the Encephalan-EEGR-19/26 mini-encephalograph, which indicate the sufficient accuracy of the EPOC+ interface for use in neurobiofeedback systems, are presented.
4 Adhesion of Solids : Mechanical Aspects

Adhesion and adherence of solids are reviewed in the framework of fracture mechanics. The main concepts are recalled: surface energy, thermodynamic work of adhesion, energy release rate, stable and unstable equilibrium of cracks, controlled propagation, stress intensity factors, J integral, and Dugdale model. An example of application is given for the adherence of spheres (based on various models). Kinetics of crack propagation for viscoelastic solids is presented in terms of G(v) curves, tackiness, stickslip, and velocity jumps. Examples of additivity of various losses are given, which include viscous drag, bulk dissipation, extraction of chains, and the problems of threshold values and hysteresis are discussed. Finally, the case of metals (cold welding and high-temperature adherence) is examined.
Electrochemical Corrosion of Steels in Distillery Effluent

The present work relates to the corrosivity of distillery effluent and corrosion performance of mild steel and stainless steels SS304L, SS316L, and 2205. The report presents the results and conclusions drawn on the basis of (i) electrochemical polarization tests performed in distillery effluent and laboratory prepared solutions having composition similar to that of the effluent (ii) the surface examination by scanning electron microscope (SEM) of the corroded steel samples. It is observed that pH and presence of chloride, phosphate, calcium, nitrite and nitrate in distillery effluent enhance corrosion, whereas presence of sulphate and potassium inhibits corrosion. Among the materials tested, mild steel is observed to experience maximum corrosion followed by stainless steels SS304L, SS316L, and 2205. Keywords—Steel, distillery effluent, electrochemical polarization, corrosion.
PINCH: Self-Organized Context Neighborhoods for Smart Environments

Today's "smart'" domains are driven by lightweight battery operated devices carried by people and embedded in environments. Many applications rely on continuous neighbor discovery, i.e., the ability to detect other nearby devices. Application uses for neighbor discovery are widely varying, but they all rely on a protocol in which devices exchange periodic beacons containing device identifiers. Many applications also ultimately involve assessing and adapting to context information sensed about the physical world and the device's situation in that world (e.g., its location or speed, the ambient temperature or sound, etc.). In this paper, we define Proactive Implicit Neighborhood Context Heuristics (PINCH), which leverages unused payload in periodic neighbor discovery beacons to opportunistically distribute context information in a local area. PINCH's self-organizing algorithms use limited local views of the state of a one-hop network neighborhood to determine the most useful type of context information for a device to sense and share. In this paper, we develop the algorithms, integrate an implementation of PINCHwith a smart city simulator, and benchmark the tradeoffs of self-organized local context sharing with 2.4GHz neighbor discovery beacons.
Putting the pieces together: EHR communication and diabetes patient outcomes.

OBJECTIVES This study seeks to determine how changes in electronic health record (EHR) communication patterns in primary care teams relate to quality of care and costs for patients with diabetes. STUDY DESIGN EHR-extracted longitudinal observational study. METHODS A total of 83 health professionals in 19 care teams at 4 primary care clinics associated with a large Midwestern university participated in the study. Counts of messages routed between any 2 team members in the EHR in the past 18 months were extracted. Flow-betweenness, defined as the proportion of information passed indirectly within the team, was calculated. The analysis related changes in team flow-betweenness to changes in emergency department visits, hospital stays, and associated medical costs for the teams' patients with diabetes, while adjusting for team face-to-face communication, patient-level covariates, comorbidities, team size, and clinic fixed effects. RESULTS Patient hospital visits increased by 13% (standard error [SE] = 6%) for every increase of 1 percentage point in team EHR message forwarding (ie, higher team flow-betweenness). Medical costs increased by $223 (SE = $105) per patient with diabetes in the past 6 months for every increase of 1 percentage point in team flow-betweenness. CONCLUSIONS Primary care teams whose EHR communication reached more team members indirectly (ie, via message forwarding) had worse outcomes and higher medical costs for their patients with diabetes. EHR team communication flow patterns may be an important avenue to explore in raising quality of care and lowering costs for patients with diabetes in primary care.
PyLissom: A tool for modeling computational maps of the visual cortex in PyTorch

Despite impressive advancements in the last years, human vision is still much more robust than machine vision. This article presents PyLissom, a novel software library for the modeling of the cortex maps in the visual system. The software was implemented in PyTorch, a modern deep learning framework, and it allows full integration with other PyTorch modules. We hypothesize that PyLissom could act as a bridge between the neuroscience and machine learning communities, driving to advancements in both fields.
Rethinking Custody: The Case for Single Custodial Fathers.

This study examined two competing hypotheses regarding the competence of single custodial fathers which have implications for considering parents' gender in awarding child custody: (1) parenting differences are based on gender, and single mothers will have higher parenting scores than single fathers; and (2) changes in role responsibilities following divorce outweigh gender effects, and parenting differences will be between married and single mothers and married and single fathers. Data were collected from parents and a 6to 10-year-old focal child in 30 single-father, 30 single-mother, and 30 two-parent families. Parent and child versions of a parenting perception inventory were used to evaluate the parent-child relationship for each parent living in the household, with parent(s) and child rating how often the parent engaged in nine positive and nine negative behaviors. Three scores were obtained: positive and negative subscale scores and total score. Results supported the second hypothesis. Findings indicated that single fathers' positive scores were higher than married fathers', but no different from mothers'. Single mothers had lower positive scores than married mothers, but no different from fathers. Married fathers had lower positive scores than married mothers. Single fathers' total scores were no different from any other parents'. Single mothers' total scores were lower than married mothers', and married fathers' total scores were also lower than married mothers'. Single fathers proved to be competent parents with more positive behaviors than married fathers, with an overall parent-child relationship no different from other parents. There were no group differences in the children's parenting perception inventory scores. (Contains 13 references.) (KDFB) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) )<This document has been reproduced as eceived from the person or organization originating it. Minor changes have been made to improve reproduction duality. Points of view or opinions stateo in this docus meet do not necessarily represent official OERI position or policy. RETHINKING CUSTODY: THE CASE FOR SINGLE CUSTODIAL FATHERS Submitted to: Family Policy Section National Council on Family Relations
Structural and quantitative changes of saponins in fresh alfalfa compared to alfalfa silage.

BACKGROUND Alfalfa (Medicago sativa) is an important legume used in animal feed. The primary objective of the present study was to analyze and trace the individual saponins in fresh and ensiled alfalfa of ten varieties, with the aim of evaluating the structural changes that saponins undergo during ensiling. A secondary objective was to examine whether any of the changes in saponin content were associated with changes in the basic nutrient composition of the ensiled alfalfa. RESULTS The total saponin concentration increased when the fresh alfalfa was processed into silage. Three of the zanhic acid glycosides were degraded substantially, whereas the other two increased in all the tested varieties. Five of the seven medicagenic acid glycosides were not changed, whereas the remaining saponins completely disappeared. Finally, two glycosides of soyasapogenol B displayed an inverse relationship to each other. CONCLUSION The nutrient content of fresh material and silages remained relatively constant, with some variations in the crude protein content of the selected alfalfa varieties. The total concentration of saponins increased two- to three-fold after ensilation over the levels present in fresh alfalfa material. The increases in saponin concentration showed a negative linear relationship between protein on a dry matter basis and saponin content. These findings are significant because no known published data have shown this transformation in the ensiling of alfalfa. © 2018 Society of Chemical Industry.
Energy Harvesting System for Wireless Sensor Nodes from Ambient Sources

Generally in case of Wireless sensor networks (WSNs) for energy scavenging and supplying purpose portable and limited energy source, such as batteries, power suppliers are used. Except energy, a sensor node is essentially useless and cannot contribute to the utility of the network as a whole. That’s why, substantial research efforts have been made on designing energy-efficient wireless sensor networking protocols to maximize the lifetime of nodes used in network to collect different types of data. As , there are different kinds of Wireless sensor networks applications where sensors nodes are required to operate for much long durations (like years or even decades) after they are deployed. Examples include environmental/habitat monitoring and structural health monitoring of critical infrastructures and buildings, where batteries are hard or impossible to replace or recharge. Then, different approaches has been made to empowering wireless sensor nodes is being studied, one of which is to convert the ambient energy from the environment into electricity to power the sensor nodes so they can quickly sense and transmit the data. In this paper, we propose a methodology for harvesting energy on sensor nodes from ambient sources like solar and wind harvester with maximum power point tracking for selfpowered wireless sensor network (WSN) nodes. We focus on maximizing the harvester’s efficiency in transferring energy from solar panel, wind mill to the energy storing device. This model predicts the instantaneous power collected by the panel helping the harvester design and optimization procedure. Experimental results based on the presented design guidelines demonstrate the effectiveness of the adopted methodology. This design procedure helps in boosting efficiency. The application also focus on how the ambient sources extend
Municipal revenue prediction by support vector machine ensembles

Fiscal stress has forced municipalities to pay increasing attention to the importance of revenue prediction. Currently, econometric models and expert opinions are used for municipal revenue prediction. In this paper we present a design of support vector machine ensembles for the prediction of municipal revenue. Linear regression model and feed-forward neural network ensembles are used as benchmark methods. We prove that stochastic gradient boosting outperforms the other methods when creating SVM ensembles for this regression problem. Further, bagging shows best performance for feed-forward neural network ensembles, and dagging is preferable for linear regression model ensembles.
Internal environment in cancer patients and proposal that carcinogenesis is adaptive response of glycolysis to overcome adverse internal conditions

In a series of our recent studies, stress was found to induce simultaneously hypothermia and hyperglycemia. These conditions are beneficial to obtain prompt force which depends on the glycolysis pathway and to escape emergency. Since we have noticed that such conditions resemble the internal environment seen in some cancer patients, it was investigated whe- ther such conditions were accompanied with other patients. We selected patients with early and advanced cancer. Body temperature and other parameters including blood gas contents were examined. A difference was seen in body temperature, namely, many patients showed hypothermia, irrespective of cancer stages. Fur- ther characterization of other parameters show- ed that hypothermia and hyperglycemia existed in many patients. They had immunosuppressive state and anemia. Blood gas analysis showed that oxygen contents were low and carbon dioxide contents were high in patients. These results suggest a possibility that the internal environment seen in patients is responsible to induce onset of disease and to maintain their cell growth, because cancer cells have an energy system of predominant glycolysis. Although hypothermia, hypoxia and hyperglycemia are important to activate the glycolysis pathway and to escape from emergency, such responses suppress the mitochondrial pathway for long span and may result in carcinogenesis.
Developing a sense of belonging: findings from a three institution study with implications for BME students and staff engagement

This is one part of the larger project, which includes the collection of questionnaire data from first year students at three London universities. The analysis of this survey data will be available in the later stages of the project. In addition to the collection of questionnaire data, in-depth interviews were carried out through the biographic narrative interpretive method (Wengraf, 2007).