Miracle-dz/UniFAR-FTUs huggingface dataset:
Classification of province based on dropout rate using C4.5 algorithm

Education in a certain region reflects the region. In Indonesia, the rate of schools' dropout rate in each province is considered high. This urges the effort to reduce the schools' dropout rate. One of the ways to reduce it is by knowing the characteristic of province whose schools' dropout rate is low. From those characteristics, we can classify to know which characteristic is similar to others, and it can be indicated as one of causative factors of the schools' dropout rate itself. Data mining has been used to analyze data and can be used to solve this kind of problem. One of data mining's method, C4.5 algorithm is chosen to be the method because it is proved that the result is good and C4.5 is good for data which has many attributes. The result showed accuracy rate of 71.2%. Based on the result, it can be concluded that the development of the classification of provinces based on schools dropout rate using C4.5 algorithm was accurate to use.
Belief Propagation in Conditional RBMs for Structured Prediction

Restricted Boltzmann machines~(RBMs) and conditional RBMs~(CRBMs) are popular models for a wide range of applications. In previous work, learning on such models has been dominated by contrastive divergence~(CD) and its variants. Belief propagation~(BP) algorithms are believed to be slow for structured prediction on conditional RBMs~(e.g., Mnih et al. [2011]), and not as good as CD when applied in learning~(e.g., Larochelle et al. [2012]). In this work, we present a matrix-based implementation of belief propagation algorithms on CRBMs, which is easily scalable to tens of thousands of visible and hidden units. We demonstrate that, in both maximum likelihood and max-margin learning, training conditional RBMs with BP as the inference routine can provide significantly better results than current state-of-the-art CD methods on structured prediction problems. We also include practical guidelines on training CRBMs with BP, and some insights on the interaction of learning and inference algorithms for CRBMs.
Growth Inhibition Effect of Medicinal Herbs Extracts on Bacillus subtilis and Aspergillus oryzae

With tetracycline and anphotericin as control, using discdiffusion technique to determine the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) of extracts from 110 medicinal herbs, investigating their antimicrobial activities. Found that 3 medicinal herbs, Fructus mume, Rhizoma coptidis and Flos caryophyllata have great inhibitory effect on Bacillus subtilis but no obviously inhibitory effect on Aspergillus oryzae. It is evident that the extracts of Fructus mume, Rhizoma coptidis and Flos caryophyllata have antibacterial activities and are potential preservatives in soy sauce fermentation.
Flow patterns and pressure drop in isothermal gas-liquid concurrent flow in a horizontal capillary tube.

A gas-liquid two-phase flow in a capillary tube or a narrow passage is encountered in many applications, for example, the flow of coolant in evaporators of many kinds of heat exchangers. Sufficlent information on fundamental parameters, such as void fraction and pressure drop, however, are not available in designing such devices. In the present investigation, we made a detailed observation of the flow pattern of an air-water two-phase flow in a horizontal capillary tube with an inner diameter of 1.0mm to 4.9mm, and attempted to correlate and explain the behavior of the pressure drop changing with the flow rates of both phases by introducing a physical model.
Residue packing in globular and intrinsically disordered proteins

Intrinsically disordered proteins (IDPs)/regions do not have well‐defined secondary and tertiary structures, however, they are functional and it is critical to gain a deep understanding of their residue packing. The shape distributions methodology, which is usually utilized in pattern recognition, clustering, and classification studies in computer science, may be adopted to study the residue packing of the proteins. In this study, shape distributions of the globular proteins and IDPs were obtained to shed light on the residue packing of their structures. The shape feature that was used is the sphericity of tetrahedra obtained by Delaunay Tessellation of points of Cα coordinates. Then the sphericity probability distributions were compared by using Principal Component Analysis. This computational structural study shows that the set of IDPs constitute a more diverse set than the set of globular proteins in terms of the geometrical properties of their network structures.
THE ECOLOGIES OF HUMAN IMMUNE FUNCTION

Immune function is notoriously complex, and current biomedical research elaborates this complexity by focusing on the cellular and molecular mechanisms that characterize immune defenses. However, the human immune system is a product of natural selection that develops and functions in whole organisms that are integral parts of their surrounding environments. A population-level, cross-cultural, adaptationist perspective is therefore a necessary complement to the micro levels of analysis currently favored by biomedical immunology. Prior field-based research on human immunity is reviewed to demonstrate the relevance of cultural ecological factors, with an emphasis on the ecologies of nutrition, infectious disease, reproduction, and psychosocial stress. Common themes and anthropological contributions are identified in an attempt to promote future research in human ecological immunology that integrates theory and method for a more contextualized understanding of this important physiological system.
Limited proteomic response in the marine snail Melarhaphe neritoides after long-term emersion

Abstract Rocky intertidal organisms are commonly exposed to environmental gradients, promoting adaptations to these conditions. Emersion time varies along the intertidal range and in the supralittoral zone is frequently larger than a single tidal cycle, even lasting for weeks. The planktonic-dispersing gastropod Melarhaphe neritoides is a common species of the high shore, adapted to reduce water loss in order to survive during long-term emersion. In this study, we investigated the molecular response, at the proteome level, of M. neritoides collected in high-shore tide pools to a series of emersion periods, from 8 to 24 days, in laboratory conditions. We compared this response to individuals maintained submerged during this period, because this was their original habitat. We also included a reversion treatment in the study, in which emersed individuals were returned to the submerged conditions. Although we detected an increase in overall protein concentration with longer emersion periods, contrary to general expectation, the two dimensional electrophoresis (2DE)-based proteomic analysis did not show significant differences between the treatments at the level of individual protein spots, even after an emersion period of 24 days. Our results suggest that the metabolism remains unaltered independent of the treatment carried out or the changes are very subtle and therefore difficult to detect with our experimental design. We conclude that M. neritoides could be equally adapted to emersion and submersion without drastic physiological changes.
Frequency and amplitude modulation have different effects on the percepts elicited by retinal stimulation.

PURPOSE In an effort to restore functional form vision, epiretinal prostheses that elicit percepts by directly stimulating remaining retinal circuitry were implanted in human subjects with advanced retinitis pigmentosa RP). In this study, manipulating pulse train frequency and amplitude had different effects on the size and brightness of phosphene appearance. METHODS Experiments were performed on a single subject with severe RP (implanted with a 16-channel epiretinal prosthesis in 2004) on nine individual electrodes. Psychophysical techniques were used to measure both the brightness and size of phosphenes when the biphasic pulse train was varied by either modulating the current amplitude (with constant frequency) or the stimulating frequency (with constant current amplitude). RESULTS Increasing stimulation frequency always increased brightness, while having a smaller effect on the size of elicited phosphenes. In contrast, increasing stimulation amplitude generally increased both the size and brightness of phosphenes. These experimental findings can be explained by using a simple computational model based on previous psychophysical work and the expected spatial spread of current from a disc electrode. CONCLUSIONS Given that amplitude and frequency have separable effects on percept size, these findings suggest that frequency modulation improves the encoding of a wide range of brightness levels without a loss of spatial resolution. Future retinal prosthesis designs could benefit from having the flexibility to manipulate pulse train amplitude and frequency independently (clinicaltrials.gov number, NCT00279500).
Development of T-Trefftz Four-Node Quadrilateral and Voronoi Cell Finite Elements for Macro- & Micromechanical Modeling of Solids

In this paper, we explore three different ways of developing T-Trefftz finite elements of quadrilateral as well as polygonal shapes. In all of these three approaches, in addition to assuming an inter-element compatible displacement field along the element boundary, an interior displacement field for each element is independently assumed as a linear combination of T-Trefftz trial functions. In addition, a characteristic length is defined for each element to scale the T-Trefftz modes, in order to avoid solving systems of ill-conditioned equations. The differences between these three approaches are that, the compatibility between the independently assumed fields at the boundary and in the interior, are enforced alternatively, using a two-field boundary variational principle, collocation, and the least squares method. The corresponding four-node quadrilateral elements with/without drilling degrees of freedom are developed, for modeling macrostructures of solids. These three approaches are also used to derive T-Trefftz Voronoi Cell Finite Elements (VCFEM), for micromechanical analysis of heterogeneous materials. Several two dimensional macro& micromechanical problems are solved using these elements. Computational results demonstrate that the elements derived using the collocation method are very simple, accurate and computationally efficient. Because the elements derived by this approach are also not plagued by LBB conditions, which are almost impossible to be satisfied a priori, we consider this class of elements to be useful for engineering applications in micromechanical modeling of heterogeneous materials.
Titanium in biomedical applications—properties and fabrication: a review

Ti and Ti-based alloys have unique properties such as high strength, low density and excellent corrosion resistance. These properties are essential for the manufacture of lightweight and high strength components for biomedical applications. In this paper, Ti properties such as metallurgy, mechanical properties, surface modification, corrosion resistance, biocompatibility and osseointegration in biomedical applications have been discussed. This paper also analyses the advantages and disadvantages of various Ti manufacturing processes for biomedical applications such as casting, powder metallurgy, cold and hot working, machining, laser engineering net shaping (LEN), superplastic forming, forging and ring rolling. The contributions of this research are twofold, firstly scrutinizing the behaviour of Ti and Ti-based alloys in-vivo and in-vitro experiments in biomedical applications to determine the factors leading to failure, and secondly strategies to achieve desired properties essential to improving the quality of patient outcomes after receiving surgical implants. Future research will be directed toward manufacturing of Ti for medical applications by improving the production process, for example using optimal design approaches in additive manufacturing and investigating alloys containing other materials in order to obtain better medical and mechanical characteristics.
PD-L1 up-regulation restrains Th17 cell differentiation in STAT3 loss- and STAT1 gain-of-function patients

Patients with hypomorphic mutations in STAT3 and patients with hypermorphic mutations in STAT1 share several clinical and cellular phenotypes suggesting overlapping pathophysiologic mechanisms. We, therefore, examined cytokine signaling and CD4+ T cell differentiation in these cohorts to characterize common pathways. As expected, differentiation of Th17 cells was impaired in both cohorts. We found that STAT1 was hyperphosphorylated in response to cytokine stimulation in both cohorts and that STAT1-dependent PD-L1 up-regulation—known to inhibit Th17 differentiation in mouse models—was markedly enhanced as well. Overexpression of SOCS3 strongly inhibited phosphorylation of STAT1 and PD-L1 up-regulation, suggesting that diminished SOCS3 expression may lead to the observed effects. Defects in Th17 differentiation could be partially overcome in vitro via PD-L1 inhibition and in a mouse model of STAT3 loss-of-function by crossing them with PD-1 knockout mice. PD-L1 may be a potential therapeutic target in several genetic diseases of immune deficiency affecting cytokine signaling.
ULTRA: Universal Grammar as a Universal Parser

A central concern of generative grammar is the relationship between hierarchy and word order, traditionally understood as two dimensions of a single syntactic representation. A related concern is directionality in the grammar. Traditional approaches posit process-neutral grammars, embodying knowledge of language, put to use with infinite facility both for production and comprehension. This has crystallized in the view of Merge as the central property of syntax, perhaps its only novel feature. A growing number of approaches explore grammars with different directionalities, often with more direct connections to performance mechanisms. This paper describes a novel model of universal grammar as a one-directional, universal parser. Mismatch between word order and interpretation order is pervasive in comprehension; in the present model, word order is language-particular and interpretation order (i.e., hierarchy) is universal. These orders are not two dimensions of a unified abstract object (e.g., precedence and dominance in a single tree); rather, both are temporal sequences, and UG is an invariant real-time procedure (based on Knuth's stack-sorting algorithm) transforming word order into hierarchical order. This shift in perspective has several desirable consequences. It collapses linearization, displacement, and composition into a single performance process. The architecture provides a novel source of brackets (labeled unambiguously and without search), which are understood not as part-whole constituency relations, but as storage and retrieval routines in parsing. It also explains why neutral word order within single syntactic cycles avoids 213-like permutations. The model identifies cycles as extended projections of lexical heads, grounding the notion of phase. This is achieved with a universal processor, dispensing with parameters. The empirical focus is word order in noun phrases. This domain provides some of the clearest evidence for 213-avoidance as a cross-linguistic word order generalization. Importantly, recursive phrase structure “bottoms out” in noun phrases, which are typically a single cycle (though further cycles may be embedded, e.g., relative clauses). By contrast, a simple transitive clause plausibly involves two cycles (vP and CP), embedding further nominal cycles. In the present theory, recursion is fundamentally distinct from structure-building within a single cycle, and different word order restrictions might emerge in larger domains like clauses.
Computation of standard errors.

OBJECTIVES We discuss the problem of computing the standard errors of functions involving estimated parameters and provide the relevant computer code for three different computational approaches using two popular computer packages. STUDY DESIGN We show how to compute the standard errors of several functions of interest: the predicted value of the dependent variable for a particular subject, and the effect of a change in an explanatory variable on the predicted value of the dependent variable for an individual subject and average effect for a sample of subjects. EMPIRICAL APPLICATION: Using a publicly available dataset, we explain three different methods of computing standard errors: the delta method, Krinsky–Robb, and bootstrapping. We provide computer code for Stata 12 and LIMDEP 10/NLOGIT 5. CONCLUSIONS In most applications, choice of the computational method for standard errors of functions of estimated parameters is a matter of convenience. However, when computing standard errors of the sample average of functions that involve both estimated parameters and nonstochastic explanatory variables, it is important to consider the sources of variation in the function's values.
Situational determinants of cardiovascular and emotional reactivity in high and low hostile men.

&NA; Various epidemiologic studies have found that high scores on the Cook and Medley Hostility (Ho) scale are associated with increased risk of coronary heart disease (CHD), severity of atherosclerosis, and all‐cause mortality. One plausible biological mechanism suspected of contributing to increased risk of CHD is sympathetic nervous system‐mediated hyperresponsivity to environmental stressors. The present study evaluated cardiovascular reactivity among young men with high versus low Ho scores during performance of an anagram task with or without harassment. Compared to performing the task alone, harassment led to increased cardiovascular arousal that was more pronounced for the high Ho subjects than the low Ho subjects. Moreover, harassment produced increases in self‐rated anger, irritation, and tension, but it was only among those subjects with high Ho scores that increased anger and irritation were associated with enhanced cardiovascular arousal. While suggesting a role for anger‐ and irritation‐induced cardiovascular arousal in pathogenesis of CHD, these findings indicate that situation characteristics mediate the relationship between Ho scores and cardiovascular reactivity, and that there may be a differential biological link between anger/irritation and cardiovascular responses in men with high and low Ho scores.
Stabilizing Agents for Drug Nanocrystals: Effect on Bioavailability

Drug nanocrystals are a versatile option for drug delivery purposes, and while the number of poorly soluble drug materials is all the time increasing, more research in this area is performed. Drug nanocrystals have a simple structure—a solid drug core is surrounded by a layer of stabilizing agent. However, despite the considerably simple structure, the selection of an appropriate stabilizer for a certain drug can be challenging. Mostly, the stabilizer selection is based purely on the requirement of physical stability, e.g., maintaining the nanosized particle size as long as possible after the formation of drug nanocrystals. However, it is also worth taking into account that stabilizer can affect the bioavailability in the final formulation via interactions with cells and cell layers. In addition, formation of nanocrystals is only one process step, and for the final formulation, more excipients are often added to the composition. The role of the stabilizers in the final formulation can be more than only stabilizing the nanocrystal particle size. A good example is the stabilizer’s role as cryoprotectant during freeze drying. In this review, the stabilizing effect, role of stabilizers in final nanocrystalline formulations, challenges in reaching in vitro–in vivo correlation with nanocrystalline products, and stabilizers’ effect on higher bioavailability are discussed.
Dexamethasone Treatment at the Myoblast Stage Enhanced C2C12 Myocyte Differentiation

Background: Glucocorticoids induce skeletal muscle atrophy in many clinical situations; however, their hypertrophic and pro-differentiation effects on myotubes have rarely been reported. We hypothesized that dexamethasone (DEX) has a dual effect on muscle differentiation, and aimed to develop a new differentiation protocol for C2C12 cell line. Methods: Dose- and time-dependent effect of DEX on C2C12 myoblast cell line was analyzed at myoblast and myotube stage, respectively. The level of differentiation was determined by myh1, pax7, atrogin-1, and myostatin mRNA expression and fusion index. Results: After differentiation and at the myotube stage, DEX treatment has an atrophic effect. Specifically, the myotube was thinner, the expression of atrogin-1 increased, and the protein content of myosin heavy chain decreased. In contrast, when DEX treatment was performed before the onset of differentiation, we observed an increase in myotube diameter and myosin heavy chain levels, and a decrease in the expression of atrogin-1. The ratio of multinuclear myotube cells increased in the DEX treatment group. The optimal treatment concentration and time was 100 μM and 48 h, respectively. Co-treatment with 10 μM DEX and 100 nM insulin further enhanced the process of myotube differentiation. Discussion: This novel finding contributed to the explanation on the stage-specific mechanism of glucocorticoid-induced myopathy. A new formula for myoblast differentiation, containing both DEX and insulin, is proposed. Further research is required to understand the complete mechanism of DEX-induced muscle hypertrophy.
Butane Hash Oil Burns: A 7-Year Perspective on a Growing Problem

With the legalization of marijuana in four states, and decriminalization in many others, marijuana is becoming easier to obtain. The authors have experienced an increase in burn injuries related to the production of butane hash oil (BHO; a concentrated tetrahydrocannabinol product produced by the distillation of marijuana plant products with pressurized butane). This article updates our experience and highlights the increasing public health problem associated with these burns. Charts of patients who presented to the burn center with suspicion of BHO-related injuries between January 2007 and December 2014 were examined. Data collected included demographics, injury characteristics, treatment utilized, and outcomes. Charts of 101 patients were identified as having BHO-related burn injury. The mean age of these patients was 30.5 ± 10.6 years (mean ± standard deviation, range: 2–55 years) and 93.1% were male. Patients sustained a mean of 26.8 ± 24.1% TBSA burn with 14.3 ± 25.1% third degree burns. Three patients died as the result of their injuries. Patients required a mean of 12 ± 48.4 ventilator days, and 27.1 ± 59.4 days in the hospital. The number of patients presenting with these burns increased over the past 7 years. BHO burns occur most commonly in February (12 patients), on Wednesday (19 patients), and between 18:00 and 06:00 (58 patients). There has been a sharp increase in the number of patients presenting with burn-associated BHO production in the region over the past 7 years. The authors as burn care providers need to increase public awareness of this issue and aid in the development of legislation to help prevent these burns before it becomes a public health crisis.