Miracle-dz/UniFAR-FTUs huggingface dataset:
Associations between initial injury severity in acute hand, wrist or forearm injuries and disability ratings and time to return to work.

BACKGROUND This study aimed to examine the relationships between the initial anatomic severity of hand, wrist and forearm injuries, as evaluated by the Modified Hand Injury Severity Score (MHISS), and each of the following parameters: disability rating and time to return to work. METHODS In this study, 94 patients who underwent operations due to acute hand, wrist and forearm injuries were included. MHISS was used to assess the severity of the injury. Disability rates of the patients were calculated six months after injury in accordance with the 'Regulation on Disability Criteria, Classification and Health Board Reports to be Given to Disabled People'. The time to return to work was defined as the length of time (in days) between the injury and the patient's return to work. Spearman rank correlation analysis was performed to analyse correlations between the MHISS and each of the following: disability rates and time to return to work. RESULTS The mean overall MHISS was 125.23 (5-880). The mean overall upper extremity disability ratio (UEDR) was 17.64±22.6 (range: 0-94), and the mean overall total body disability ratio (TBDR) was 10.57±13.45 (range: 0-56). Among the study population, 87 (92.6%) patients were able to return to their jobs. The mean overall time to return to work was 138.69 (range: 35-365 days). A statistically significant correlation was found between MHISS and UEDR, TBDR and time to return to work and UEDR, TBDR (p<0.001). CONCLUSION As a result, as the initial injury severity increased, greater disability remained and the time to return to work increased. Predicting prognosis by determining the injury severity in the initial evaluation of patients may be important in predicting a patient's future permanent disability level, which can contribute to maintaining patient expectations at a reasonable level, thereby aiding in psychosocial support.
The Effect of Quits on Worker Recruitment: Theory and Evidence

Recruitment effort by a firm can signify one of two things: a desire to expand or a need to replace workers who have quit profitable positions. Standard matching models with on-the-job search treat these two recruitment activities as the same. Yet, we provide empirical evidence that suggests these two activities differ in the sense that, all else equal, an establishment is much more likely to post a vacancy and hire a worker if a worker has quit a position at the firm. Our evidence is robust to a variety of controls, including establishment fixed effects. One natural explanation for this is that workers who quit leave behind firm-specific physical and organizational capital, thereby making replacement hiring less costly than the creation of a new position. To this end, we develop a matching model with on-the-job search and multi-worker firms that differentiates between the cost of creating a new position and the cost of adverting for an existing opening. The model naturally creates a distinction between worker and job flows and, through endogenously-determined thresholds for separations, worker replacement and position creation, produces rich firm-level employment dynamics that are broadly consistent with our empirical evidence.
Cardiac Effects Of Huntington’s Disease In Murine Models

Huntington’s disease (HD) is an autosomal dominant disease known for its severe neurologic phenotype. However, the causative protein in HD, mutant huntingtin (mHTT), is widely expressed across tissue types and may have profound consequences for peripheral organs. Notably, heart disease is the second leading cause of death in HD patients, but if or how cardiac mHTT expression causes pathology is still unknown. Here, I characterize the cardiac phenotype in two HD mouse models and show that dysregulated mTORC1 activity is a key underlying mechanism. I show that normal heart growth is limited in HD mouse models, with mass regulated independent of systemic changes. Additionally, cardiac mTORC1 activity is decreased in HD mice starting at a presymptomatic time point in a manner that requires cardiac mHTT expression. The impaired activity results from decreased PI3K/Akt/mTOR signaling at early time points and Rheb mislocalization at later disease stages. As a result of mTORC1 dysregulation, HD mice have increased mortality, inability to hypertrophy, and increased pathologic changes in response to stress. Notably, this phenotype is reversed in HD mice with exogenously activated mTORC1. Thus, I propose that mHTT expression in HD hearts dysregulates mTORC1 and leads to increased mortality with heart disease. Degree Type Dissertation Degree Name Doctor of Philosophy (PhD) Graduate Group Cell & Molecular Biology First Advisor Beverly L. Davidson
Data Validation for Big Live Data

Data Integration of heterogeneous data sources relies either on periodically transferring large amounts of data to a physical Data Warehouse or retrieving data from the sources on request only. The latter results in the creation of what is referred to as a virtual Data Warehouse, which is preferable when the use of the latest data is paramount. However, the downside is that it adds network traffic and suffers from performance degradation when the amount of data is high. In this paper, we propose the use of a readCheck validator to ensure the timeliness of the queried data and reduced data traffic. It is further shown that the readCheck allows transactions to update data in the data sources obeying full Atomicity, Consistency, Isolation, and Durability (ACID) properties.
System Design and Architecture of an Online , Adaptive , and Personalized Learning Platform

The author proposes that personalized learning can be brought to traditional and nontraditional learners through a new type of asynchronous learning platform called Guided Learning Pathways (GLP). The GLP platform allows learners to intelligently traverse a vast field of learning resources, emphasizing content only of direct relevance to the learner and presenting it in a way that matches the learner's pedagogical preference and contextual interests. GLP allows learners to advance towards individual learning goals at their own pace, with learning materials catered to each learner's interests and motivations. Learning communities would support learners moving through similar topics. This thesis describes the software system design and architecture required to support Guided Learning Pathways. The author provides detailed information on eight software applications within GLP, including specific learning benefits and features of each. These applications include content maps, learning nuggets, and nugget recommendation algorithms. A learner scenario helps readers visualize the functionality of the platform. To describe the platform's software architecture, the author provides conceptual data models, process flow models, and service group definitions. This thesis also provides a discussion on the potential social impact of GLP in two areas: higher education institutions and the broader economy. Thesis Supervisor: Richard C. Larson Title: Mitsui Professor of Engineering Systems
Computational Screening of MOF-Based Mixed Matrix Membranes for CO2/N2 Separations

Atomically detailed simulations were used to examine CO2/N2 separation potential of metal organic framework- (MOF-) based mixed matrix membranes (MMMs) in this study. Gas permeability and selectivity of 700 new MMMs composed of 70 different MOFs and 10 different polymers were calculated for CO2/N2 separation. This is the largest number of MOF-based MMMs for which computational screening is done to date. Selecting the appropriate MOFs as filler particles in polymers resulted in MMMs that have higher CO2/N2 selectivities and higher CO2 permeabilities compared to pure polymer membranes. We showed that, for polymers that have low CO2 permeabilities but high CO2 selectivities, the identity of the MOF used as filler is not important. All MOFs enhanced the CO2 permeabilities of this type of polymers without changing their selectivities. Several MOF-based MMMs were identified to exceed the upper bound established for polymers. The methods we introduced in this study will create many opportunities to select the MOF/polymer combinations with useful properties for CO2 separation applications.
Global Surface Circulation and Its Kinetic Energy Distribution Derived from Drifting Buoys

A dataset derived from 1864 drifting buoys archived at the MEDS (Marine Environmental Data Service) in Canada and the JODC (Japan Oceanographic Data Center) are analyzed to obtain the global surface circulation and its kinetic energy distribution on a 2 ° × 2° grid system (1° × 1° grids in specific regions). The current distribution presents more realistic features of the global surface circulation at meso- to large scales than previously obtained. For example, jet-like structures within the western boundary current and the equatorial current, which have never been resolved in the previous studies with coarser grids, are successfully reproduced. Moreover, the conspicuous seasonal cycle of surface current, such as drastic flow reversal, is captured in the Indian Ocean and the equatorial regions. A large mean kinetic energy (>1000 cm 2 s ‐2 ) appears in the equatorial current, the western boundary current and its extension, and in the Antarctic Circumpolar Current region. In these regions, the eddy kinetic energy is comparable to or larger than the mean kinetic energy, suggesting strong interactions between mean flow and eddies. When the energy distribution is compared with that from eddy resolving general circulation models, both synoptic views of the mean fields are found to be in fairly good agreement. In the eddy field, however, the energy level in the models is much smaller (by a factor of 5) than the buoy-derived energy level. This result is basically consistent with the previous studies using altimeter data, but the energy level obtained from drifting buoy data is larger than that from altimeter data. The difference here is due to the relatively long sampling intervals of altimeter observations and disregard of the ageostrophic component in calculating altimeter-derived velocities. These results show that the surface circulation field derived from drifting buoys provides useful information which can be used to make models more realistic.
Micromechanics-Based Investigation of Fouled Ballast Using Large-Scale Triaxial Tests and Discrete Element Modeling

AbstractRailway ballast comprises unbounded discrete grains that are often used to form a load-bearing platform for tracks. Ballast degradation as trains pass over the tracks and infiltration of external fines including slurried (pumped) fine subgrade soils are two of the main reasons for ballast fouling. Fouling causes tracks to settle and also reduces the load-bearing capacity, which is associated with a reduction in internal friction and increased lateral spreading of the ballast layer. This paper presents a study of mobilized friction angle, volumetric behavior, and associated evolutions of contact and fabric anisotropy of fouled ballast subjected to monotonic triaxial loading using a series of large-scale triaxial tests and discrete element modeling. Monotonically loaded and drained triaxial tests were carried out on ballast with levels of clay fouling that varied from 10 to 50% void contamination index (VCI) subjected to three confining pressures of 10, 30, and 60 kPa. The results showed that an inc.
Serum Copeptin Levels and its Relation with Other Inflammatory Markers in Acute Exacerbation of COPD

Mehmet Atilla Uysal1, Nebibe Bekar2, Ersin Demirer3, Mehmet Sancak1, Veysel Yılmaz1 1Yedikule Hospital For Chest Diseases and Thoracic Surgery Educational and Training Hospital, Istanbul, 2Sinop Atatürk State Hospital, Sinop, 3GATA Haydarpasa Training Hospital, Department of Pulmonary Diseases, İstanbul, Turkey KOAH Akut Alevlenmesi ve Copeptin / Acute Exacerbation of COPD and Copeptin Serum Copeptin Levels and its Relation with Other Inflammatory Markers in Acute Exacerbation of COPD
Polyhedral Surface Approximation of Non-Convex Voxel Sets and Improvements to the Convex Hull Computing Method

In this paper we introduce an algorithm for the creation of polyhedral approximations for objects represented as strongly connected sets of voxels in three-dimensional binary images. The algorithm generates the convex hull of a given object and modifies the hull afterwards by recursive repetitions of generating convex hulls of subsets of the given voxel set or subsets of the background voxels. The result of this method is a polyhedron which separates object voxels from background voxels. The objects processed by this algorithm and also the background voxel components inside the convex hull of the objects are restricted to have genus 0. The second aim of this paper is to present some improvements to our convex hull algorithm to reduce computation time.
CFD Simulation of Hydrodynamics of Three Phase Fluidized Bed

The gas-liquid-solid fluidized bed has emerged in recent years as one of the most promising devices for three-phase operation. Such a device is of considerable industrial importance as evident from its wide application in chemical, refining, petrochemical, biochemical processing, pharmaceutical and food industries. Selection and design is one of the main parameter in the performance of three phase system. Success is dependent on the effective contact between the phases. Even though a large number of experimental studies have been done in different process parameters and physical properties, the complex hydrodynamics of three phase fluidized bed reactors are not well understood due to complicated phenomena such as particle–particle, liquid–particle and particle–bubble interactions. For this reason, computational fluid dynamics (CFD) has been promoted as a useful tool for understanding multiphase reactors for precise design and scale up. In the present work three different configuration of cylindrical column has been taken for studying co-current gas-liquid-solid fluidization with the help of commercial CFD codes as FLUENT. The main focus for analyzing the results is on the column with 1.88 m height and diameter of 0.1 m containing solid particles as glass beads of size 2.18 mm and 4.05 mm. In the present study of three phase fluidized simulation the hydrodynamic parameters investigated includes phase hold up, velocity profiles of all phases, bed expansion, bed voidage, static pressure drop, frictional pressure drop at wall, and energy flows. The operating variables varied includes liquid and air inlet velocity, initial solid static bed height and particle size. The dynamic characteristics obtained from CFD simulation have been validated with the experimental results and a good agreement has been observed. Eulerian-Eulerian granular multiphase flow approach is capable of predicting the overall performance of gas–liquid–solid fluidized bed. The expanded bed height is strong function of liquid velocity, it increases with liquid velocity. Velocity of the phases has been observed more in center region than near at wall in fluidized bed. Bed voidage increases with the liquid velocity and depending on the particle size. Axial velocity in small diameter column is more than the large diameter column. Frictional pressure drop at wall has been found to decrease with increase in the bed height.
Comparative effects of quercetin and hydroalcoholic extract of Otostegia persica boiss with atorvastatin on atherosclerosis complication in male wistar rats

Abstract The use of herbal remedies is significantly considered in the atherosclerosis treatment, reduction of fatty elements, and prevention of activity of oxidative stress factors. The present study was conducted on 48 rats in 6 groups. The experimental and sham groups were fed with 2% cholesterol for 40 days; and experimental groups were separately treated by atorvastatin, quercetin, and hydroalcoholic extract for 4 weeks. After treatment procedure, some serum factors such as low‐density lipoprotein (LDL), total cholesterol (TC), malondialdehyde (MDA), and reactive oxygen species (ROS) were evaluated. Serum levels of LDL, TC, MDA, and ROS were significantly lower in experimental groups than sham group (p < .01). There was a significant decrease in serum MDA levels of these two groups in comparison with the atorvastatin‐treated group (p < .05). Blood pressure parameters were decreased in treated with quercetin and hydroalcoholic extract in comparison with the sham group (p < .05). Quercetin and hydroalcoholic extract similar to atorvastatin could decrease serum lipids [except high‐density lipoprotein (HDL)], oxidative stress factors, aorta contraction, weight gain, and blood pressure. These reagents improved the vascular structure and prevented the plaque formation.
Amaranth grain brings health benefits to young normolipidemic rats.

This paper reports the impact of an extruded amaranth (Amaranthus spp) supplement on intestinal bile and fatty acids of normolipidemic rats. Forty-eight rats were fed either a control diet AIN 93-G (12 or 18% protein), or one of two levels of supplemental extruded amaranth flour for 48 days. Plasma glucose, insulin, total cholesterol, their fractions, and triacylglycerols, liver weight and lipid content, cecum short-chain fatty acids and fecal excretion of bile acids were determined. While no significant differences in the levels of plasma triacylglycerols, glucose or insulin, and liver parameters due to the diet were detected. Although amaranth promotes reduction of both total and LDL serum cholesterol, increased production of butyric acid in cecum and fecal excretion of deoxycholic acid in the feces. These results suggest that amaranth used routinely as a supplement to the standard casein diet could have a health-promoting value in the normal rat.
Estimation of Quantile Treatment Effects with Stata

In this article, we discuss the implementation of various estimators proposed to estimate quantile treatment effects. We distinguish four cases involving conditional and unconditional quantile treatment effects with either exogenous or endogenous treatment variables. The introduced ivqte command covers four different estimators: the classical quantile regression estimator of Koenker and Bassett (1978, Econometrica 46: 33–50) extended to heteroskedasticity consistent standard errors; the instrumental-variable quantile regression estimator of Abadie, Angrist, and Imbens (2002, Econometrica 70: 91–117); the estimator for unconditional quantile treatment effects proposed by Firpo (2007, Econometrica 75: 259–276); and the instrumental-variable estimator for unconditional quantile treatment effects proposed by Frölich and Melly (2008, IZA discussion paper 3288). The implemented instrumental-variable procedures estimate the causal effects for the subpopulation of compliers and are only well suited for binary instruments. ivqte also provides analytical standard errors and various options for nonparametric estimation. As a by-product, the locreg command implements local linear and local logit estimators for mixed data (continuous, ordered discrete, unordered discrete, and binary regressors).
Robust estimation and forecasting for beta-mixed hierarchical models of grouped binary data

L'article desenvolupa t`ecniques d'estimaci? o i predicci? o robusta per a dades bin`aries agrupades quan hi ha respostes classificades malament. Les dades es descriuen mitjan? cant un model jer`arquic, b? e el beta-binomial o b? e el beta-log? istic, mentre que les males classificacions estan causades per les distorsions estoc`astiques additives de les observacions bin`aries. Per a aquests models, s'avalua l'efecte d'ignorar la mala classificaci? o i es donen expressions per als biaixos dels estimadors obtinguts pel m`etode dels moments i per la m`axima versemblan? ca. Tamb? e es donen expressions per a l'augment de l'error de predicci? o, en mitjana quadr`atica, dels predictors de Bayes. Per compensar els efectes de la mala classificaci? o, es construeixen nous estimadors consistents i un nou predictor de Bayes que tenen en compte la distorsi? o en el model. La robustesa de les t`ecniques desenvolupades es demostra mitjan? cant simulacions i l'estudi d'un cas real.
Phase Transition in Niobophosphate Glass-Ceramic

Phase transition during crystallization of glass to glass-ceramic in system P2O5-CaO-Nb2O5-Na2O was studied. Several heating rates were compared – 1, 2, 5, 11 and 20°Cmin-1. DTA, XRD, FTIR and Raman analyses were performed. Niobophosphate glass-ceramic is found to form utterly different crystalline phases depending on maximal heating temperature, heating rate and time of maximal temperature maintenance. Crystallization temperatures of the same phases are strongly dependent on heating rate, while crystallinity of obtained phases is not. At lower temperatures poorly crystalline phosphates (Ca3(PO4)2, Ca10Na(PO4)7, Ca2P2O7) and niobates (NaNbO3 and Nb2O5) are identified. At higher temperatures a large amount of well crystalline niobophosphate (Na4(Nb8P4O32) and Ca2P2O7 forms. With increasing amount of Na4(Nb8P4O32), amount of NaNbO3 and Nb2O5 decreases.
IMPROVING THE COMPETITIVENESS OF THE SMALL AND MEDIUM ENTERPRISES (SME) OF TROSO WEAVING CRAFT IN JEPARA REGENCY USING CAPITAL INTELLECTUAL ANALYSIS

The aim of the research was to analyze the management of the SMEs of Troso Weaving Craft in Jepara Regency in relation to the human resources. In order that the SMEs can compete with today’s industry, the SMEs are required to be able to run their businesses professionally and to innovate, as well as to implement new breakthroughs. Therefore, the management of the SMEs needs to develop their intellectual ability and competitive advantage for their products. Intellectual capital is the intangible resource that can be used as the source of sustainable competitive advantage. The measurement of IC associated with competitive advantage was made against the elements of human capital, structural capital and costumer capital. Hence,this research discussed a model that relates the intellectual capital of the SMEs to the competitive advantage of the SMEs of Troso Weaving Craft in Jepara Regency. For the development of the model and hypothesis, the research used the Structural Equation Modelling (SEM), by taking the samples of 157 SMEs of Troso Weaving Craft selected in simple random sampling. The analysis results show that human capital, structural capital, and customer capital have the effect on competitive advantage. It means that the improvement of the competitive advantage for Troso Weaving Craft requires trainings in the managements of production, distribution, marketing and finance for all individuals and employees of the SMEs.
Nonvolatile memory with switching interfacial polar structures of nano Si-in-mesoporous silica

We show an artificially engineered electret with Si nanocrystals embedded in mesoporous silica for nonvolatile memory. We attribute the polarization to from polar layers lying at the interfaces between one-side bonded Si nanocrystals and mesoporous silica matrix. Under external field, the Si nanocrystals could be displaced in the porechannels causing displaced charge distributions and therefore a field-controllable electric polarization. Nonvolatile memory is demonstrated with a metal-oxide-semiconductor field-effect transistor.