Miracle-dz/UniFAR-FTUs huggingface dataset:
Características socioeconômicas, epidemiológicas e laborais de profissionais de enfermagem hospitalar

Objetivo: avaliar as caracteristicas socioeconomicas, epidemiologicas e laborais de profissionais de enfermagem hospitalar. Metodo: tratase de um estudo descritivo, transversal e quantitativo, desenvolvido com 393 profissionais de enfermagem de tres instituicoes hospitalares. Para levantamento dos dados, utilizou-se um questionario sociodemografico e para analise descritiva o software Statistical Package for the Social Science. Resultados: percebeu-se quanto as caracteristicas socioeconomicas que a maioria dos profissionais estudados e do sexo feminino, entre 30 e 39 anos, e casada ou convive com companheiros e possui renda familiar mensal de 1.500 a 3.000 reais. Quanto as caracteristicas epidemiologicas, notou-se que a maioria dos profissionais nao consome bebida alcoolica, nem cigarros, sendo que grande parte deles nao pratica exercicios, nao possui doencas cronicas e nao faz uso de medicamentos. Com relacao as atividades laborais, grande parte da amostra foi composta por tecnicos de enfermagem que trabalhavam no periodo noturno, tinham carga horaria de 42 horas semanais e atuavam em outro vinculo empregaticio. Conclusao: ao conhecer os diferentes aspectos desses trabalhadores, facilita-se a coordenacao de enfermagem ao instituir medidas que proporcionem melhor adaptacao no trabalho e, consequentemente, a qualidade de vida do trabalhador e da assistencia prestada aos usuarios.
International trade and retailing: Diversity versus accessibility and the creation of retail deserts

The retail sectors in many industrialized countries have experienced a large increase in concentration and the appearance of so-called \retail deserts\, areas of low retail provision. This study addresses the role of international trade in this process. The analysis shows that by raising product diversity, international trade also raises the costs of provision in retailing and leads to a consolidation in this industry. As a consequence, surviving retailers have larger catchment areas and consumers have to travel longer distances for their errands. These adjustments in retailing create a trade-off between diversity and accessibility, and international trade is not unambiguously welfare improving.
Nebulin regulates the assembly and lengths of the thin filaments in striated muscle

In many tissues, actin monomers polymerize into actin (thin) filaments of precise lengths. Although the exact mechanisms involved remain unresolved, it is proposed that “molecular rulers” dictate the lengths of the actin filaments. The giant nebulin molecule is a prime candidate for specifying thin filament lengths in striated muscle, but this idea has never been proven. To test this hypothesis, we used RNA interference technology in rat cardiac myocytes. Live cell imaging and triple staining revealed a dramatic elongation of the preexisting thin filaments from their pointed ends upon nebulin knockdown, demonstrating its role in length maintenance; the barbed ends were unaffected. When the thin filaments were depolymerized with latrunculin B, myocytes with decreased nebulin levels reassembled them to unrestricted lengths, demonstrating its importance in length specification. Finally, knockdown of nebulin in skeletal myotubes revealed its involvement in myofibrillogenesis. These data are consistent with nebulin functioning as a thin filament ruler and provide insight into mechanisms dictating macromolecular assembly.
Distributed control of electric vehicle charging

Electric vehicles (EVs) are expected to soon become widespread in the distribution network. The large magnitude of EV charging load and unpredictable mobility of EVs make them a challenge for the distribution network. Leveraging fast-timescale measurements and low-latency broadband communications enabled by the smart grid, we propose a distributed control algorithm that adapts the charging rate of EVs to the available capacity of the network ensuring that network resources are used efficiently and each EV charger receives a fair share of these resources. We obtain sufficient conditions for stability of this control algorithm in a static network, and demonstrate through simulation in a test distribution network that our algorithm quickly converges to the optimal rate allocation.
Brain-Derived Neurotrophic Factor and Antidepressant Drugs Have Different But Coordinated Effects on Neuronal Turnover, Proliferation, and Survival in the Adult Dentate Gyrus

Antidepressants increase proliferation of neuronal progenitor cells and expression of brain-derived neurotrophic factor (BDNF) in the hippocampus. We investigated the role of BDNF signaling in antidepressant-induced neurogenesis by using transgenic mice with either reduced BDNF levels (BDNF+/-) or impaired trkB activation (trkB.T1-overexpressing mice). In both transgenic strains, chronic (21 d) imipramine treatment increased the number of bromodeoxyuridine (BrdU)-positive cells to degree similar to that seen in wild-type mice 24 h after BrdU administration, although the basal proliferation rate was increased in both transgenic strains. Three weeks after BrdU administration and the last antidepressant injection, the amount of newborn (BrdU- or TUC-4-positive) cells was significantly reduced in both BDNF+/- and trkB.T1-overexpressing mice, which suggests that normal BDNF signaling is required for the long-term survival of newborn hippocampal neurons. Moreover, the antidepressant-induced increase in the surviving BrdU-positive neurons seen in wild-type mice 3 weeks after treatment was essentially lost in mice with reduced BDNF signaling. Furthermore, we observed that chronic treatment with imipramine or fluoxetine produced a temporally similar increase in both BrdU-positive and terminal deoxynucleotidyl transferase-mediated biotinylated UTP nick end-labeled neurons in the dentate gyrus, indicating that these drugs simultaneously increase both neurogenesis and neuronal elimination. These data suggest that antidepressants increase turnover of hippocampal neurons rather than neurogenesis per se and that BDNF signaling is required for the long-term survival of newborn neurons in mouse hippocampus.
Enhanced Expression of Long Non-Coding RNA HOTAIR Is Associated with the Development of Gastric Cancer

The long non-coding RNA HOTAIR has been reported to be a poor prognostic biomarker in a variety of malignant tumors. However, little is known about the association of HOTAIR with gastric cancer. We examined the expression of HOTAIR in 68 gastric cancer samples using quantitative real-time RT-PCR and analyzed its correlation with the clinical parameters. The functional role of HOTAIR was examined by generating human gastric cancer cell lines with increased or suppressed HOTAIR expression. The anchorage -independent growth was assessed by soft agar assay. The increased or suppressed HOTAIR expressing gastric cancer cells were injected into the tail vein or peritoneal cavity of immunodeficient mice to examine the effect of this molecule on metastasis and peritoneal dissemination. The expression of HOTAIR was significantly higher in cancer lesions than in adjacent non-cancerous tissues in human gastric cancers. In the diffuse type of gastric cancer, the High-HOTAIR group (HOTAIR/GAPDH > 1) showed significantly more venous invasion, frequent lymph node metastases and a lower overall survival rate compared to the Low-HOTAIR group (HOTAIR/GAPDH < 1). Colony formation on the soft agar was enhanced in a HOTAIR-dependent manner. HOTAIR-expressing MKN74 formed more liver metastasis compared to control when they were injected into the tail vein of mice. In addition, reduced expression of HOTAIR in KATO III suppressed peritoneal dissemination. These results suggest that HOTAIR plays a pivotal role in the development of gastric cancer.
Virtual reality in anxiety disorders: the past and the future

One of the most effective treatments of anxiety is exposure therapy: a person is exposed to specific feared situations or objects that trigger anxiety. This exposure process may be done through actual exposure, with visualization, by imagination or using virtual reality (VR), that provides users with computer simulated environments with and within which they can interact. VR is made possible by the capability of computers to synthesize a 3D graphical environment from numerical data. Furthermore, because input devices sense the subject’s reactions and motions, the computer can modify the synthetic environment accordingly, creating the illusion of interacting with, and thus being immersed within the environment. Starting from 1995, different experimental studies have been conducted in order to investigate the effect of VR exposure in the treatment of subclinical fears and anxiety disorders. This review will discuss their outcome and provide guidelines for the use of VR exposure for the treatment of anxious patients.
Analysis of Endocytic Pathways in Drosophila Cells Reveals a Conserved Role for GBF1 in Internalization via GEECs

In mammalian cells, endocytosis of the fluid phase and glycosylphosphatidylinositol-anchored proteins (GPI-APs) forms GEECs (GPI-AP enriched early endosomal compartments) via an Arf1- and Cdc42-mediated, dynamin independent mechanism. Here we use four different fluorescently labeled probes and several markers in combination with quantitative kinetic assays, RNA interference and high resolution imaging to delineate major endocytic routes in Drosophila cultured cells. We find that the hallmarks of the pinocytic GEEC pathway are conserved in Drosophila and identify garz, the fly ortholog of the GTP exchange factor GBF1, as a novel component of this pathway. Live confocal and TIRF imaging reveals that a fraction of GBF1 GFP dynamically associates with ABD RFP (a sensor for activated Arf1 present on nascent pinosomes). Correspondingly, a GTP exchange mutant of GBF1 has altered ABD RFP localization in the evanescent field and is impaired in fluid phase uptake. Furthermore, GBF1 activation is required for the GEEC pathway even in the presence of Brefeldin A, implying that, like Arf1, it has a role in endocytosis that is separable from its role in secretion.
Supporting community in third places with situated social software

The Community Collage (CoCollage) is designed to cultivate community in a café, a quintessential "third place", by bringing the richness of online social software into a physical community space. The system shows photos and quotes uploaded to a web site by café patrons and staff on a large computer display in the café, providing a new channel for awareness, interactions and relationships among people there. We describe the CoCollage system and report on insights and experiences resulting from a 2-month deployment of the system, focusing on the impact the system has had on the sense of community within the café.
Privacy-preserving SVANETs: Privacy-preserving simple vehicular ad-hoc networks

The paper deals with the cryptographic design and experimental implementation of a scheme for (but not limited to) vehicular ad-hoc networks (VANETs). In contrast to existing solutions, our scheme does not need any complex infrastructure (like costly road-side units or special on-board devices) and is based just on users' smart-phones and Internet connection. We call this simplified concept SVANETs (Simple Vehicular Ad-Hoc Networks). In addition, our cryptographic scheme supports drivers' privacy by employing advanced cryptographic constructions like S-protocols and proof of knowledge protocols. Our scheme is computationally efficient and practically implementable on current hardware. To prove the efficiency and practical implementability, we provide the first implementation results, which were obtained from our experimental implementation on the Android platform.
Reconstruction of 3D Face Model from Single Shading Image Based on Anatomical Database

We propose a method to reconstruct 3D face model from a single face-frontal shading image based on a database of the original 3D face shapes which are created according to anatomical basis of the human head. In the proposed method, we reconstruct the 3D shape of the face from the input shading image by estimating small number of eigenvalues taken by principal component analysis (PCA) of the anatomical database of the head, rather than directly recovering the shape from the input shading image. The eigenvalues are estimated based on the optimization of the error value computed by comparing shading information of input image to that of model image created from the shape represented by the eigenvalues. For evaluating the effectiveness, we reconstruct various face shapes from single shading images of the objects based on the proposed method. The reconstructed shape for a statue of head with the average shape of the databases provides an error evaluation, which is 2.6 mm in average. This is sufficiently accurate for the future applications, such as on-line order-made of face-wearing products
Investigation of microtubule assembly and organization accompanying tension-induced neurite initiation.

Pulling on the margin of embryonic chick sensory neurons induces neurite formation de novo. We find that these neurites contain microtubules within minutes after the application of tension and apparently normal microtubule arrays within 10-20 min. We wished to determine whether these microtubules reflected existing microtubules that were reorganized, e.g. pulled into the neurite by the applied forces, or whether they reflected primarily new assembly of tubulin. We investigated tension-induced neurite initiation in the presence of 4 nM vinblastine, a concentration that poisons net microtubule assembly but does not depolymerize extant polymers, thus separating new assembly from movements of existing microtubules. We find that vinblastine seriously compromises the ability of chick sensory neurons to initiate neurites in response to tension. The few poisoned neurites that did form were abnormal in several respects. In contrast to unpoisoned cells, poisoned neurites were prone to stretching and breaking while pulling, as though they lacked normal structural support. Indeed, poisoned neurites possessed only short microtubule fragments. We conclude that the microtubule array seen in tension-induced neurites reflects primarily new microtubule assembly, rather than existing microtubules that were reorganized to invade the neurite. This implies that tension applied to unpoisoned chick sensory neurons rapidly stimulates new microtubule assembly concomitant with neurite initiation. Examination of the tension-induced microtubules shows that both their spatial pattern and their acetylation are similar to that reported for normal growth cone-mediated neurites.
ON PROBABILISTIC CONSTRAINED PROGRAMMING

The term probabilistic constrained programming means the same as chance constrained programming, i.e., optimization of a function subject to certain conditions where at least one is formulated so that a condition, involving random variables, should hold with a prescribed probability. The probability is usually not prescribed exactly but a lower bound is given instead which is in practice near unity.
Evolutionary Algorithm Aided Interleaver Design for Serially Concatenated Codes

Previous interleavers designed for Serially Concatenated Codes (SCCs) have achieved a limited Minimum Hamming Distance (MHD) between the legitimate permutations of the encoded bit sequence. Hence, we propose a novel Evolutionary Algorithm (EA) capable of designing improved interleavers for SCCs, without artificially limiting the achievable MHD. As a result, increased MHDs and therefore reduced error floors are achieved, even if only a modest EA complexity can be afforded.
Predictors of Revision Surgery After Primary Anterior Cruciate Ligament Reconstruction

Background: Revision anterior cruciate ligament (ACL) reconstruction surgery occurs in 5% to 15% of individuals undergoing ACL reconstruction. Identifying predictors for revision ACL surgery is of essence in the pursuit of creating adequate prevention programs and to identify individuals at risk for reinjury and revision. Purpose: To determine predictors of revision ACL surgery after failed primary ACL reconstruction. Study Design: Case-control study; Level of evidence, 3. Methods: A total of 251 participants (mean age ± SD, 26.1 ± 9.9 years) who had undergone primary ACL reconstruction 1 to 5 years earlier completed a comprehensive survey to determine predictors of revision ACL surgery at a mean 3.4 ± 1.3 years after the primary ACL reconstruction. Potential predictors that were assessed included subject characteristics (age at the time of surgery, time from injury to surgery, sex, body mass index, preinjury activity level, return to sport status), details of the initial injury (mechanism; concomitant injury to other ligaments, menisci, and cartilage), surgical details of the primary reconstruction (Lachman and pivot shift tests under anesthesia, graft type, femoral drilling technique, reconstruction technique), and postoperative course (length of rehabilitation, complications). Univariate and multivariate logistic regression analyses were performed to identify factors that predicted the need for revision ACL surgery. Results: Overall, 21 (8.4%) subjects underwent revision ACL surgery. Univariate analysis showed that younger age at the time of surgery (P = .003), participation in sports at a competitive level (P = .023), and double-bundle ACL reconstruction (P = .024) predicted increased risk of revision ACL surgery. Allograft reconstructions also demonstrated a trend toward greater risk of revision ACL surgery (P = .076). No other variables were significantly associated with revision ACL surgery. Multivariate analysis revealed that revision ACL surgery was only predicted by age at the time of surgery and graft type (autograft vs allograft). Conclusion: The overall revision ACL surgery rate after primary unilateral ACL reconstruction was 8.4%. Univariate predictors of revision ACL reconstruction included younger age at the time of surgery, competitive baseline activity level, and double-bundle ACL reconstruction. However, multivariable logistic regression analysis indicated that age and reconstruction performed with allograft were the only independent predictors of revision ACL reconstruction.
The impact of campus climate on queer-spectrum student academic success

ABSTRACT This study examines how campus climate directly affects academic success for queer-spectrum students. The linear regression analysis model with all independent variables explained 23% of the variance in academic success for queer-spectrum undergraduate students (p < 0.001). Three major constructs related to campus climate significantly affected academic success for queer-spectrum undergraduate students, including students' comfort with campus climate (ß = 0.38, p < 0.001), institutional action perceptions (ß = 0.11, p < 0.001), and perceptions of campus climate (ß = 0.08, p < 0.01). In other words, students who had higher comfort with campus climate, greater ratings of institutional action perceptions for campus climate, and warmer perceptions of campus climate rated their academic success as higher.
Anomaly Detection for malware identification using Hardware Performance Counters

Computers are widely used today by most people. Internet based applications, like ecommerce or ebanking attracts criminals, who using sophisticated techniques, tries to introduce malware on the victim computer. But not only computer users are in risk, also smartphones or smartwatch users, smart cities, Internet of Things devices, etc. Different techniques has been tested against malware. Currently, pattern matching is the default approach in antivirus software. Also, Machine Learning is successfully being used. Continuing this trend, in this article we propose an anomaly based method using the hardware performance counters (HPC) available in almost any modern computer architecture. Because anomaly detection is an unsupervised process, new malware and APTs can be detected even if they are unknown.
Size Fair and Homologous Tree Genetic Programming Crossovers

Size fair and homologous crossover genetic operators for tree based genetic programming are described and tested. Both produce considerably reduced increases in program size and no detrimental eeect on GP performance. GP search spaces are partitioned by the ridge in the number of program v. their size and depth. A ramped uniform random initialisation is described which straddles the ridge. With subtree crossover trees increase about one level per generation leading to sub-quadratic bloat in length.
Enabling JaSkel skeletons for clusters and computational Grids

JaSkel is a skeleton-based framework to develop efficient concurrent, parallel and Grid applications. It provides a set of Java abstract classes that implement recurring parallel interaction paradigms. The key feature of JaSkel is to use aspect-oriented external tools to address distributed execution, by injecting code to support communication middleware into JaSkel built-in skeleton implementations. This feature, when combined with the ability to develop nested skeletons, can help to tailor JaSkel applications to efficiently run on a grid of clusters systems, by taking advantage of inter/intra-cluster and/or intra-node communications. This paper describes the JaSkel distributed execution tools and how they interplay with the JaSkel framework to transparently run applications on a wide range of computing platforms, from multi-core to computational grids. Results are presented to show the feasibility and scalability of this approach.
Playing LEGO with JSON: Probabilistic joins over attribute-value fragments

Information about an entity can hardly be assumed to be given in one single document, created in a single instance of time. Rather, it is reasonable to assume that information is spread over multiple documents and created/enriched over time-for instance through crowdsourcing facts or mined from social network streams, one after the other. In this work, we consider the problem of assembling entity-centric information out of input comprising small pieces of information; provided in form of JSON document snippets. The final goal is to create a document that (possibly fully) describes an entity by putting related fragments together. What makes this task challenging is the lack of evidence telling which fragments belong together and, hence, can be safely combined. We focus on deciding this question using statistics of the already seen fragments, to justify if a join is reasonable or not. We evaluate our approach using real-world datasets and show that we can achieve high precision and recall.
Index theorem in spontaneously symmetry-broken gauge theories on a fuzzy 2-sphere

We consider a gauge-Higgs system on a fuzzy 2-sphere and study the topological structure of gauge configurations, when the U(2) gauge symmetry is spontaneously broken to U(1)xU(1) by the vev of the Higgs field. The topology is classified by the index of the Dirac operator satisfying the Ginsparg-Wilson relation, which turns out to be a noncommutative analog of the topological charge introduced by 't Hooft. It can be rewritten as a form whose commutative limit becomes the winding number of the Higgs field. We also study conditions which assure the validity of the formulation, and give a generalization of the admissibility condition. Finally we explicitly calculate the topological charge of a one-parameter family of configurations.