Miracle-dz/UniFAR-FTUs huggingface dataset:
Structure and haemostatic effects of generic versions of enoxaparin available for clinical use in Brazil: Similarity to the original drug

Summary Patent protection for enoxaparin has expired. Generic preparations are developed and approved for clinical use in different countries. However, there is still skepticism about the possibility of making an exact copy of the original drug due to the complex processes involved in generating low-molecular-weight heparins. We have undertaken a careful analysis of generic versions of enoxaparin available for clinical use in Brazil. Thirty-three batches of active ingredient and 70 of the final pharmaceutical product were obtained from six different suppliers. They were analysed for their chemical composition, molecular size distribution, in vitro anticoagulant activity and pharmacological effects on animal models of experimental thrombosis and bleeding. Clearly, the generic versions of enoxaparin available for clinical use in Brazil are similar to the original drug. Only three out of 33 batches of active ingredient from one supplier showed differences in molecular size distribution, resulting from a low percentage of tetrasaccharide or the presence of a minor component eluted as monosaccharide. Three out of 70 batches of the final pharmaceutical products contained lower amounts of the active ingredient than that declared by the suppliers. Our results suggest that the generic versions of enoxaparin are a viable therapeutic option, but their use requires strict regulations to ensure accurate standards.
Remote Sensing for Irrigation of Horticultural Crops

This paper reviews the literature on applications of remote sensing for monitoring soil- and crop- water status for irrigation purposes. The review is organized into two main sections: (1) sensors and platforms applied to irrigation studies and (2) remote sensing approaches for precision irrigation to estimate crop water status, evapotranspiration, infrared thermography, soil and crop characteristics methods. Recent literature reports several remote sensing (RS) approaches to monitor crop water status in the cultivated environment. Establishing the right amount of water to supply for different irrigation strategies (maximization of yield or water use efficiency (WUE)) for a large number of crops is a problem that remains unresolved. For each crop, it will be necessary to create a stronger connection between crop-water status and crop yield.
Epidemiology of Sports-Related Concussions in National Collegiate Athletic Association Athletes From 2009-2010 to 2013-2014

Background: Limited data exist among collegiate student-athletes on the epidemiology of sports-related concussion (SRC) outcomes, such as symptoms, symptom resolution time, and return-to-play time. Purpose: This study used the National Collegiate Athletic Association (NCAA) Injury Surveillance Program (ISP) to describe the epidemiology of SRC outcomes in 25 collegiate sports. Study Design: Descriptive epidemiology study. Methods: SRC data from the NCAA ISP during the 2009-2010 to 2013-2014 academic years were analyzed regarding symptoms, time to resolution of symptoms, and time to return to play. Findings were also stratified by sex in sex-comparable sports (ie, ice hockey, soccer, basketball, lacrosse, baseball/softball) and whether SRCs were reported as recurrent. Results: Of the 1670 concussions reported during the 2009-2010 to 2013-2014 academic years, an average (±SD) of 5.29 ± 2.94 concussion symptoms were reported, with the most common being headache (92.2%) and dizziness (68.9%). Most concussions had symptoms resolve within 1 week (60.1%); however, 6.2% had a symptom resolution time of over 4 weeks. Additionally, 8.9% of concussions required over 4 weeks before return to play. The proportion of SRCs that required at least 1 week before return to play increased from 42.7% in 2009-2010 to 70.2% in 2013-2014 (linear trend, P < .001). Within sex-comparable sports analyses, the average number of symptoms and symptom resolution time did not differ by sex. However, a larger proportion of concussions in male athletes included amnesia and disorientation; a larger proportion of concussions in female athletes included headache, excess drowsiness, and nausea/vomiting. A total of 151 SRCs (9.0%) were reported as recurrent. The average number of symptoms reported with recurrent SRCs (5.99 ± 3.43) was greater than that of nonrecurrent SRCs (5.22 ± 2.88; P = .01). A greater proportion of recurrent SRCs also resulted in a long symptom resolution time (14.6% vs 5.4%, respectively; P < .001) and long return-to-play time (21.2% vs 7.7%, respectively; P < .001) compared with nonrecurrent SRCs. Conclusion: Trends in return-to-play time may indicate changing concussion management practices in which team medical staff members withhold players from participation longer to ensure symptom resolution. Concussion symptoms may differ by sex and recurrence. Future research should continue to examine the trends and discrepancies in symptom resolution time and return-to-play time.
Anderson acceleration for geometry optimization and physics simulation

Many computer graphics problems require computing geometric shapes subject to certain constraints. This often results in non-linear and non-convex optimization problems with globally coupled variables, which pose great challenge for interactive applications. Local-global solvers developed in recent years can quickly compute an approximate solution to such problems, making them an attractive choice for applications that prioritize efficiency over accuracy. However, these solvers suffer from lower convergence rate, and may take a long time to compute an accurate result. In this paper, we propose a simple and effective technique to accelerate the convergence of such solvers. By treating each local-global step as a fixed-point iteration, we apply Anderson acceleration, a well-established technique for fixed-point solvers, to speed up the convergence of a local-global solver. To address the stability issue of classical Anderson acceleration, we propose a simple strategy to guarantee the decrease of target energy and ensure its global convergence. In addition, we analyze the connection between Anderson acceleration and quasi-Newton methods, and show that the canonical choice of its mixing parameter is suitable for accelerating local-global solvers. Moreover, our technique is effective beyond classical local-global solvers, and can be applied to iterative methods with a common structure. We evaluate the performance of our technique on a variety of geometry optimization and physics simulation problems. Our approach significantly reduces the number of iterations required to compute an accurate result, with only a slight increase of computational cost per iteration. Its simplicity and effectiveness makes it a promising tool for accelerating existing algorithms as well as designing efficient new algorithms.
U.S. International Equity Investment

U.S. investors are the largest group of international equity investors in the world, but to date conclusive evidence on which types of foreign firms are able to attract U.S. investment is not available. Using a comprehensive dataset of all U.S. investment in foreign equities, we find that the single most important determinant of the amount of U.S. investment a foreign firm receives is whether the firm cross-lists on a U.S. exchange. Correcting for selection biases, cross-listing leads to a doubling (or more) in U.S. investment, an impact greater than all other factors combined. We also show that our firm-level analysis has implications for country-level studies, suggesting that research investigating equity investment patterns at the country-level should include cross-listing as an endogenous control variable. We describe easy-to-implement methods for including the importance of cross-listing at the country level.
The Contribution of Corporate Social Responsibility to Organisational Commitment

This study investigates the relationship between organisational commitment and employee perceptions of corporate social responsibility (CSR) within a model which draws on social identity theory. Specifically, we examine the impact of three aspects of socially responsible behaviour on affective commitment: employee perceptions of corporate social responsibility in the community, procedural justice in the organisation and the provision of employee training. The relationship between affective commitment and each aspect of CSR is investigated within a model which controls for job satisfaction, leadership, employee level, age and tenure and discriminates between the direct and moderating effects of gender. The analysis is based on a sample of 4,712 employees drawn from a financial services company. The results provide evidence of a positive relationship between all three measures of CSR and affective commitment and suggest that the contribution of CSR to affective commitment is at least as great as that of job satisfaction. Corporate social responsibility in the community has positive implications therefore not only to external stakeholders but also to the commitment of employees within the organisation. While no direct effect was found between gender and affective commitment, the results emphasise the moderating effect of gender on the relationship between CSR and affective commitment.
Phase behaviors of colloidal analogs of bent-core liquid crystals

Bent colloidal rods exhibit fascinating polar ordering and chirality formation despite the achiral nature of the rods. Bent-core liquid crystal (LC) molecules are known to form mesophases with fascinating polar order and supramolecular chirality despite the achiral nature of the mesogens. The assembly of colloidal particles with geometrical similarity to bent-core molecular mesogens not only provides new insights into the physical behaviors of atoms or molecules but also leads to new materials with broad applications. Despite tremendous progress in colloidal synthesis and assembly, there has been a lack of colloidal model systems of bent-core molecular mesogens for LC property discovery and application development. This article describes a systematic study on the phase behaviors of colloidal analogs of bent-core LC mesogens in both experiments and simulations. We demonstrated that bent rods with controlled bending angle (α) and aspect ratio (L/D, with L and D as the length and diameter of each rod arm, respectively) can spontaneously assemble into several typical banana phases including smectic A, smectic C, synclinic tilted antiferroelectric-like smectic, and twist smectic phases, resembling bent-core LC molecules. The formation and transition of these phases were found to be strongly dependent on the geometric parameters of rods. Phase diagrams were developed to illustrate the existence and stability range of all the LC phases in α and L/D space. This work opens the door to the development of novel complex types of molecular or colloidal self-organization and new functional materials with electro-optical or nonlinear optical properties.
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network

Hardware acceleration of Deep Neural Networks (DNNs) aims to tame their enormous compute intensity. Fully realizing the potential of acceleration in this domain requires understanding and leveraging algorithmic properties of DNNs. This paper builds upon the algorithmic insight that bitwidth of operations in DNNs can be reduced without compromising their classification accuracy. However, to prevent loss of accuracy, the bitwidth varies significantly across DNNs and it may even be adjusted for each layer individually. Thus, a fixed-bitwidth accelerator would either offer limited benefits to accommodate the worst-case bitwidth requirements, or inevitably lead to a degradation in final accuracy. To alleviate these deficiencies, this work introduces dynamic bit-level fusion/decomposition as a new dimension in the design of DNN accelerators. We explore this dimension by designing Bit Fusion, a bit-flexible accelerator, that constitutes an array of bit-level processing elements that dynamically fuse to match the bitwidth of individual DNN layers. This flexibility in the architecture enables minimizing the computation and the communication at the finest granularity possible with no loss in accuracy. We evaluate the benefits of Bit Fusion using eight real-world feed-forward and recurrent DNNs. The proposed microarchitecture is implemented in Verilog and synthesized in 45 nm technology. Using the synthesis results and cycle accurate simulation, we compare the benefits of Bit Fusion to two state-of-the-art DNN accelerators, Eyeriss and Stripes. In the same area, frequency, and process technology, Bit Fusion offers 3.9x speedup and 5.1x energy savings over Eyeriss. Compared to Stripes, Bit Fusion provides 2.6x speedup and 3.9x energy reduction at 45 nm node when Bit Fusion area and frequency are set to those of Stripes. Scaling to GPU technology node of 16 nm, Bit Fusion almost matches the performance of a 250-Watt Titan Xp, which uses 8-bit vector instructions, while Bit Fusion merely consumes 895 milliwatts of power.
Predictors of Sexual Aggression Among Male Juvenile Offenders

The purpose of this study was to conduct a longitudinal examination of predictors of sexual aggression among male juvenile offenders. Four hundred and four adolescent males between the ages of 14 and 17 years were recruited from juvenile probation offices to take part in a prospective study of substance use and sexual risk. At baseline, participants completed a series of questionnaires that assessed putative risk factors for sexual aggression. They then completed a measure of sexual aggression at the 6-month follow-up period. Correlational analyses revealed that participants who reported hard drug use, more frequent alcohol and marijuana use, and less severe offenses reported engaging in more severe sexual aggression. In addition, participants who reported higher impulsivity, sensation seeking, and externalizing behaviors also reported participating in more severe sexual aggression. When these variables were included in a regression analysis, only externalizing behaviors and severity of offense uniquely predicted severity of sexual aggression at the 6-month follow-up.
Dairy product consumption and the metabolic syndrome

The metabolic syndrome is an important risk factor for type 2 diabetes mellitus and CVD. Epidemiological studies have now suggested protective effects of dairy product consumption on the development of this syndrome. Here we review the physiological effects and possible mechanisms involved of three main dairy constituents (Ca, protein, fat) on important components of the metabolic syndrome. Ca supplements improve the serum lipoprotein profile, particularly by decreasing serum total and LDL-cholesterol concentrations. They also lower systolic and diastolic blood pressure. Insufficient evidence exists for a significant role of Ca supplements or dairy in body-weight management. Effects of Ca may be related to intestinal binding to fatty acids or bile acids, or to changes in intracellular Ca metabolism by suppressing calciotropic hormones. Dietary proteins may increase satiety in both the short and longer term, which may result in a reduced energy intake. They have also been reported to improve the serum lipoprotein profile as compared with carbohydrates. Dairy proteins are precursors of angiotensin-I-converting enzyme-inhibitory peptides, which may lower blood pressure. Such effects, however, have inconsistently been reported in human studies. Finally, conjugated linoleic acid, which effectively lowers body weight in animals, has no such effect in humans in the quantities provided by dairy products. To reduce the intake of SFA, the consumption of low-fat instead of high-fat dairy products is recommended. In conclusion, more research is warranted to better understand the physiological effects and the mechanisms involved of dairy products in the prevention and treatment of the metabolic syndrome.
Transport IVF-ICSI: Results of a 25-year experience

Objective This report presents a summary of the outcomes achieved at ART center FERTILAB in Buenos Aires, Argentina, with transport IVF-ICSI for 25 years (1990-2014). Methods This report included all patients submitted to oocyte retrieval for IVF-ICSI whose oocytes were transported from sites of aspiration located 0.5-58 kilometers away from the central laboratory. The numeric data herein reported were taken from annual reports submitted by our institution (Fertilab) and, for purposes of comparison, by all Argentinian centers to the Latin American Registry of Assisted Reproduction (RLA) within the same time period. Results From 1990 to 2014, 5091 aspirations followed by oocyte transport were performed in our center, resulting in 1258 pregnancies after fresh embryo transfers. The mean pregnancy/aspiration rate for the 25-year period was 24.71%. To validate the efficacy of our transport system, our results were compared to the outcomes of Argentinian centers reporting to RLA Argentina in the period ranging from 1990 to 2014. A total of 79,062 aspirations were performed, yielding 20,047 pregnancies and a pregnancy/aspiration rate of 25.36%. Delivery/aspirations rates were 15.34% for Fertilab patients and 14.79% for RLA Argentina centers. Conclusion The results showed that the differences in clinical outcomes between our center and the bulk of Argentinian centers were not statistically significant, indicating that oocyte transport does not decrease the effectiveness of IVF-ICSI and might be advantageous under certain circumstances.
Multiple Equilibria in Noisy Rational Expectations Economies

This paper studies equilibrium uniqueness in standard noisy rational expectations economies with asymmetric or differential information a la Grossman and Stiglitz (1980) and Hellwig (1980). We show that the standard linear equilibrium of Grossman and Stiglitz (1980) is the unique equilibrium with a continuous price function. However, we also construct a tractable class of equilibria with discontinuous prices that have very different economic implications, including (i) jumps and crashes, (ii) significant revisions in uninformed belief due to small changes in the market price, (iii) "upward-sloping" demand curves, (iv) higher prices leading to future returns that are higher in expectation (price drift) and (v) more positively skewed. Discontinuous equilibria can be arbitrarily close to being fully-revealing. Finally, discontinuous equilibria with the same construction also exist in Hellwig (1980).
Extra- and intracellular innate immune recognition in endothelial cells

Summary The innate immune system represents the principal sensor of infections in multicellular organisms and might also mediate responses to some endogenous molecules. In this context, endothelial cells are among the first cells coming into contact with microbial or endogenous (danger-associated) molecules or whole pathogens entering the bloodstream. Since many bacteria and viruses invade the endothelium, endothelial cells are equipped with both extracellular and cytosolic surveillance systems capable of sensing microbial components, and endogenous danger-associated molecules. The receptor molecules, called pattern recognition receptors (PRRs), are classified as transmembrane or cytosolic molecules. While the transmembrane PRRs recognize extracellular and membrane-enclosed foreign organisms, the cytosolic PRRs appear to sense intracellular infections. Here we focus on both PRR classes in general, and outline the current knowledge of extra- and intracellular pattern recognition in endothelial cells and its potential role in vascular diseases and sepsis.
Towards Osmotic Computing: Analyzing Overlay Network Solutions to Optimize the Deployment of Container-Based Microservices in Fog, Edge and IoT Environments

In recent years, the rapid growth of new Cloud technologies acted as an enabling factor for the adoption of microservices based architecture that leverages container virtualization in order to build modular and robust systems. As the number of containers running on hosts increases, it becomes essential to have tools to manage them in a simple, straightforward manner and with a high level of abstraction. Osmotic Computing is an emerging research field that studies the migration, deployment and optimization of microservices from the Cloud to Fog, Edge, and Internet of Things (IoT) environments. However, in order to achieve Osmotic Computing environments, connectivity issues have to be addressed. This paper investigates these connectivity issues leveraging different network overlays. In particular, we analyze the performance of four network overlays that are OVN, Calico, Weave, and Flannel. Our results give a concrete overview in terms of overhead and performances for each proposed overlay solution, helping us to understand which the best overlay solution is. Specifically, we deployed CoAP and FTP microservices which helped us to carry out these benchmarks and collect the results in terms of transfer times.
Nutritional outcomes in children with epidermolysis bullosa: long-term follow-up.

BACKGROUND some types of epidermolysis bullosa (EB) have extracutaneous manifestations. Manifestations that limit food intake and absorption may compromise nutritional status and increasing nutritional requirements. OBJECTIVES to investigate the following nutritional status indicators: exclusive breastfeeding duration, problems caused by the introduction of complementary foods, birth weight and length, and growth curves of children with EB. METHODS assessment was based on the World Health Organization (WHO) growth charts. The anthropometric data were stored in the WHO's programs Anthro and Anthro Plus. RESULTS three and seven of the ten study children had EB simplex (EBS) and recessive dystrophic EB (RDEB), respectively. Four of the children with RDEB had problems when complementary foods were introduced. The difference between the chronological age and age-for-height at the 25th (A/H 25th) percentile (p) varied from four months to four years and two months. Most children with RDEB (85%) had weight-for-age (W/A) curve below p3 and low height-for-age (H/A), starting before age four years. One child with EBS had excess weight. CONCLUSIONS anthropometric birth data, exclusive breastfeeding duration, and problems caused by the introduction of complementary foods are useful information for establishing the nutritional profile of children with EB. Supposedly, breastfeeding and no complementary feeding problems were not enough to prevent inadequate nutritional status, observed in the majority of the study children. The original presentation of the growth curves of children with EB may help to determine nutritional involvement and to establish how these children grow. The evaluation of growth curves with WHO as a standard suggests the need to establish growth curves adapted to the most serious type of EB and the need for permanent nutritional monitoring.