Miracle-dz/UniFAR-FTUs huggingface dataset:
Revisiting the classification of Gallo-Italic: a dialectometric approach

While Gallo-Italic varieties clearly belong to the Romance language family, their subgrouping as either Gallo-Romance or Italo-Romance has been the source of disagreement in the classificatory literature. While earlier analyses tended to classify Gallo-Italic as Gallo-Romance (notably Schmid, 1956; Bec, 1970-1971), later work has either argued for or tacitly assumed a classification of Gallo-Italic as part of the Italo-Romance branch, a view that is both different from as well as irreconcilable with the earlier Gallo-Romance classifications. In this paper we aim to contribute to the development of an empirically-based classification of Gallo-Italic through the use of dialectometry applied to atlas corpora, and specifically through the measurement of Levenshtein distance. Using three wordlists (Swadesh 100, Swadesh 200, Leipzig-Jakarta) and comparing twenty-six linguistic varieties across Italy and south-eastern France, we show that Gallo-Italic is best classified as a third subgroup within the Gallo-Romance branch. Our results also clearly identify all the major bundles of isoglosses established through traditional dialectological methods and confirm Gallo-Italic as a relatively homogenous group distinct from Italo-Romance.
A Filter Synthesis Procedure for Slow Wave Substrate-Integrated Waveguide Based on a Distribution of Blind Via Holes

In this paper, a design methodology for miniaturized cavity filters in a slow wave substrate-integrated waveguide technology is presented. It is applied in the context of ladder coupling scheme with a slow wave effect produced by a periodic arrangement of blind via holes. By taking into account the intrinsic periodicity of the structure during the synthesis, this paper aims at achieving a better filter response in terms of bandwidth and return loss, as well as providing a systematic approach for the via holes arrangement. In addition, a segmentation technique combined with the use of polynomial fittings is introduced to provide a fast and accurate design. As an illustration, a bandpass filter of 1-GHz bandwidth centered at 11 GHz is designed, fabricated, and measured. A good agreement between simulations and measurements is obtained.
A Fast Algorithm for Transistor Folding

Transistor folding reduces the area of row-based designs that employ transistors of different size. Kim and Kang [1] have developed an O(m2 log m) algorithm to optimally fold m transistor pairs. In this paper we develop an O(m2) algorithm for optimal transistor folding. Our experiments indicate that our algorithm runs 3 to 60 times as fast for m values in the range (100, 100,000).
A Muscarinic Antagonist Reduces Airway Inflammation and Bronchoconstriction Induced by Ambient Particulate Matter in a Mouse Model of Asthma

Ambient particulate matter (PM) can increase airway inflammation and induce bronchoconstriction in asthma. This study aimed to investigate the effect of tiotropium bromide, a long-acting muscarinic antagonist, on airway inflammation and bronchoconstriction induced by ambient PM in a mouse model of asthma. We compared the effect of tiotropium bromide to that of fluticasone propionate and formoterol fumarate. BALB/c mice were sensitized to ovalbumin (OVA) via the airways and then administered tiotropium bromide, fluticasone propionate, or formoterol fumarate. Mice were also sensitized to ambient PM via intranasal instillation. Differential leukocyte counts and the concentrations of interferon (IFN)-γ, interleukin (IL)-5, IL-6, IL-13, and keratinocyte-derived chemokine (KC/CXCL1) were measured in bronchoalveolar lavage fluid (BALF). Diacron-reactive oxygen metabolites (dROMs) were measured in the serum. Airway resistance and airway inflammation were evaluated in lung tissue 24 h after the OVA challenge. Ambient PM markedly increased neutrophilic airway inflammation in mice with OVA-induced asthma. Tiotropium bromide improved bronchoconstriction, and reduced neutrophil numbers, decreased the concentrations of IL-5, IL-6, IL-13, and KC/CXCL1 in BALF. However, tiotropium bromide did not decrease the levels of dROMs increased by ambient PM. Though eosinophilic airway inflammation was reduced with fluticasone propionate, neutrophilic airway inflammation was unaffected. Bronchoconstriction was improved with formoterol fumarate, but not with fluticasone propionate. In conclusion, tiotropium bromide reduced bronchoconstriction, subsequently leading to reduced neutrophilic airway inflammation induced by ambient PM.
A SAR Reduced mm-Wave Beam-Steerable Array Antenna With Dual-Mode Operation for Fully Metal-Covered 5G Cellular Handsets

In this letter, a specific absorption rate (SAR) reduced 28 GHz beam-steering array antenna with dual-mode operation for a fully metal-covered fifth-generation (5G) cellular handset is proposed. The proposed antenna consists of two subarrays, each of which has eight rotated slot antenna elements, which are arranged on the upper frame and on the part of the back cover of the handset. The subarrays are selected according to the modes by using a switch. The proposed array demonstrates good reflection coefficients in the frequency band ranging from 27.2 to 28.2 GHz and the mutual couplings between antenna elements are less than –11.8 dB. The proposed antenna has good beam-steering properties and a hemispherical beam coverage for a millimeter-wave (mm-wave) 5G cellular handset. The calculated peak SAR values on the head phantom by the proposed structure, for the beam scan angles of 0° and 40°, are 0.53 and 0.88 W/kg, respectively, when the input power of each subarray is 24 dBm.
Scaling of pHEMTs to decanano dimensions

Although the research in ultrafast compound FETs today is focused mainly on high In channel devices on InP substrates and strain relief buffers, significant performance improvement can be gained by proper scaling of the conventional pseudomorphic HEMT (pHEMT) with low In content channel. We investigate the scaling performance of pHEMTs to deep decanano dimensions. This is the first phase of a large (#2.6M) experimental programme in Glasgow aiming to establish Roadmap benchmarks for high-speed III-V devices. The finite element Monte Carlo device simulator (MC/H2F) has been used to simulate electron transport properties for a set of pHEMTs, fully scaled in both lateral and vertical direction with gate lengths of 120, 70, 50, and 30 nm.
Joint Dynamic Pricing and Order Fulfillment for E-Commerce Retailers

We consider an e-commerce retailer (e-tailer) who sells a catalog of products to customers from different regions during a finite selling season and fulfills orders through multiple fulfillment centers. The e-tailer faces a Joint Pricing and Fulfillment (JPF) problem: At the beginning of each period, she needs to jointly decide the price for each product and how to fulfill an incoming order. The objective is to maximize the total expected profits defined as total expected revenues minus total expected shipping costs (all other costs are fixed in this problem). The exact optimal policy for JPF is difficult to solve; so, we propose two heuristics that have provably good performance compared to reasonable benchmarks. Our first heuristic directly uses the solution of a deterministic approximation of JPF as its control parameters whereas our second heuristic improves the first heuristic by adaptively adjusting the original control parameters at the beginning of every period. An important feature of the second heuristic is that it decouples the pricing and fulfillment decisions, making it easy to implement. We show theoretically and numerically that the second heuristic significantly outperforms the first heuristic and is very close to a benchmark that jointly re-optimizes the full deterministic problem at every period.
Behavioral cloning for driverless cars using transfer learning

A machine learning algorithm for decision making in driverless navigation is developed. This method is implemented through adapting existing proved convolutional neural networks to the current problem. Compared to the traditional methods supported by algorithms from computer graphics, this transfer learning method tend to optimize all processing steps simultaneously, thus leading to better performance while maintaining a high performance-to-cost ratio.
Rv0613c/MSMEG_1285 Interacts with HBHA and Mediates Its Proper Cell-Surface Exposure in Mycobacteria

Heparin-binding haemagglutinin (HBHA) is a surface-exposed virulence factor of Mycobacterium tuberculosis and is involved in the binding of mycobacteria to non-phagocytic cells, allowing for extra-pulmonary dissemination of the bacilli. Despite its surface exposure, HBHA is not produced as a pre-protein containing a typical cleavable N-terminal signal peptide and is thus likely secreted by a Sec-independent, as of yet unknown mechanism. Here, we used the bacterial adenylate cyclase two-hybrid system to identify the proteins encoded by rv0613c and mmpL14 as being able to interact with HBHA. Our study was focused on Rv0613c, as it showed more consistent interactions with HBHA than MmpL14. Deletion of its orthologous gene MSMEG_1285 in recombinant Mycobacterium smegmatis producing HBHA from M. tuberculosis resulted in the loss of proper surface exposure of HBHA, as evidenced by atomic force microscopy. Furthermore, the lack of MSMEG_1285 also abolished the clumping phenotype and rough colony morphology of the recombinant M. smegmatis and reduced its adherence to A549 epithelial cells. These phenotypes have previously been associated with surface-exposed HBHA. Thus, MSMEG_1285 is directly involved in the proper cell-surface exposure of HBHA. These observations identify MSMEG_1285/Rv0613c as the first accessory protein involved in the cell surface exposure of HBHA.
Reverse Engineering Psychologically Valid Facial Expressions of Emotion into Social Robots

Social robots are now part of human society, destined for schools, hospitals, and homes to perform a variety of tasks. To engage their human users, social robots must be equipped with the essential social skill of facial expression communication. Yet, even state-of-the-art social robots are limited in this ability because they often rely on a restricted set of facial expressions derived from theory with well-known limitations such as lacking naturalistic dynamics. With no agreed methodology to objectively engineer a broader variance of more psychologically impactful facial expressions into the social robots' repertoire, human-robot interactions remain restricted. Here, we address this generic challenge with new methodologies that can reverse-engineer dynamic facial expressions into a social robot head. Our data-driven, user-centered approach, which combines human perception with psychophysical methods, produced highly recognizable and human-like dynamic facial expressions of the six classic emotions that generally outperformed state-of-art social robot facial expressions. Our data demonstrates the feasibility of our method applied to social robotics and highlights the benefits of using a data-driven approach that puts human users as central to deriving facial expressions for social robots. We also discuss future work to reverse-engineer a wider range of socially relevant facial expressions including conversational messages (e.g., interest, confusion) and personality traits (e.g., trustworthiness, attractiveness). Together, our results highlight the key role that psychology must continue to play in the design of social robots.
Vitamin K antagonist use and renal function in pre-dialysis patients

Purpose A post hoc analysis of a recent trial on direct oral anticoagulants versus vitamin K antagonists showed that amongst patients with mildly decreased kidney function, use of vitamin K antagonists was associated with a greater decline in renal function than use of direct oral anticoagulants. Whether these vitamin K antagonist effects are the same in pre-dialysis patients is unknown. Therefore, the aim of this study was to investigate the association between vitamin K antagonist use and the rate of renal function decline and time until start of dialysis in incident pre-dialysis patients. Methods Data from 984 patients from the PREdialysis PAtient REcord study, a multicenter follow-up study of patients with chronic kidney disease who started pre-dialysis care in the Netherlands (1999–2011), were analyzed. Of these patients, 101 used a vitamin K antagonist. Linear mixed models were used to compare renal function decline between vitamin K antagonist users and non-users. Cox proportional hazards models were used to estimate the HR with 95% CI for starting dialysis. Results Vitamin K antagonist use was associated with an extra change in renal function of −0.09 (95% CI −1.32 to 1.13) mL/min/1.73 m2 per year after adjustment for confounding. The adjusted HR for the start of dialysis was 1.20 (95% CI 0.85 to 1.69) in vitamin K antagonist users, compared to non-users. Conclusion In incident pre-dialysis patients, the use of vitamin K antagonists was not associated with an accelerated kidney function decline or an earlier start of dialysis compared to non-use. The lack of knowledge on the indication for vitamin K antagonist use could lead to confounding by indication.
OS BENEFÍCIOS DA GESTÃO AMBIENTAL COMO FERRAMENTA DE COMPETITIVIDADE PELAS ORGANIZAÇÕES

As organizacoes, para serem sustentaveis, precisam aprender a interagir de forma responsavel com o meio ambiente, procurando produzir e consumir de forma sustentavel sem comprometer seu processo de producao, visando sempre sua continuidade e o bem estar da sociedade. Nesse sentido, o uso de ferramentas de gestao ambiental torna-se um diferencial de competitividade para as empresas. Este trabalho trata-se de uma revisao bibliografica desenvolvida por meio de pesquisas realizadas em sites, livros, artigos e anais de congressos nacionais e internacionais, e tem por objetivo discutir as principais ideias de diversos autores com relacao a gestao ambiental e os beneficios obtidos pela sua aplicacao nas empresas. A pesquisa mostra que as entidades que fazem uso de praticas de gestao ambiental, inclusive com a implantacao de um Sistema de Gestao Ambiental, obtem uma maior vantagem competitiva em relacao aos concorrentes, pois alem de beneficios economicos e ambientais, ha uma melhoria da imagem da empresa perante a sociedade.
Evolutionary optimization of cubic polynomial joint trajectories for industrial robots

The conventional approach to find the constrained minimum-time path for robot manipulator employs the trial-and-error procedure, namely the flexible polyhedron search method. In this paper we introduce an alternative approach by applying the genetic search algorithms to schedule the time intervals between each pair of adjacent knots such that the total travelling time is minimized subjected to the physical constraints on joint velocities, accelerations, and jerks. Modified heuristic crossover and a scaled and normed performance measure are applied to the genetic algorithmic searching procedures. Experiments with different combinations of crossover rates and mutation rates are carried out and the corresponding results outweigh the constrained minimum-time obtained from the trial-and-error polyhedron search method.
Outcome of Percutaneous Transforaminal Endoscopic Lumbar Surgery in >60-Year-Old Patients with Low Back Pain

Study Design Retrospective study. Purpose To evaluate the outcome of percutaneous transforaminal endoscopic lumbar surgery (PTELS) and to evaluate the efficacy of this technique in the treatment of lumbar disc herniation (LDH) and lumbar spine stenosis (LSS) in >60-year-old patients. Overview of Literature There has been number of studies done in aspect of PTELS. All those studies focused on overall clinical aspect with no any age specific analysis. This articles deals with the patient >60 years old with low back pain (LBP) treated with the PTELS. This study provides the details of clinical outcome after the surgery in those age group. Methods We retrospectively studied 77 patients aged >60 years; out of these, 45 patients presented with LDH and 22 patients with lumbar spinal stenosis who underwent PTELS. Results The mean age of the patients who underwent the surgery was 68.33±6.97 years and the mean duration of the surgery and the postoperative duration of hospitalization were 87.31±24.746 minutes and 79±2.711 days, respectively. The pre- and postoperative Oswestry Disability Index were 52.8022±11.98299 and 16.3513±12.97398 (p <0.05), respectively, indicating statistical significance. The pre- and postoperative visual analogue scale scores of the leg and back were 6.27±1.213 and 4.79±1.162 (p <0.05) and 1.40±1.688 and 1.30±1.436, respectively (p <0.05), which showed a significant difference. Based on the MacNab criteria, 76.1%, 10%, and 6% of the patients showed excellent or good, fair, and poor outcomes, respectively. Incomplete removal of content and reherniation were observed in 3% and 7.5% of the patients. No significant difference was found between the clinical outcomes of PTELS between LDH and LSS. Conclusions PTELS can be a good technique in spine surgery to relieve symptoms for LBP with satisfactory outcome, short duration of hospitalization, and advantages such as elimination of general anesthesia in elderly patients.
Validation of the Registered Nurse Assessment of Readiness for Hospital Discharge Scale

Background Statistical models for predicting readmissions have been published for high-risk patient populations but typically focus on patient characteristics; nurse judgment is rarely considered in a formalized way to supplement prediction models. Objectives The purpose of this study was to determine psychometric properties of long and short forms of the Registered Nurse Readiness for Hospital Discharge Scale (RN-RHDS), including reliability, factor structure, and predictive validity. Methods Data were aggregated from two studies conducted at four hospitals in the Midwestern United States. The RN-RHDS was completed within 4 hours before hospital discharge by the discharging nurse. Data on readmissions and emergency department visits within 30 days were extracted from electronic medical records. Results The RN-RHDS, both long and short forms, demonstrate acceptable reliability (Cronbach’s alphas of .90 and .73, respectively). Confirmatory factor analysis demonstrated less than adequate fit with the same four-factor structure observed in the patient version. Exploratory factor analysis identified three factors, explaining 60.2% of the variance. When nurses rate patients as less ready to go home (<7 out of 10), patients are 6.4–9.3 times more likely to return to the hospital within 30 days, in adjusted models. Discussion The RN-RHDS, long and short forms, can be used to identify medical-surgical patients at risk for potential unplanned return to hospital within 30 days, allowing nurses to use their clinical judgment to implement interventions prior to discharge. Use of the RN-RHDS could enhance current readmission risk prediction models.
Transcriptional characterization of immunological infiltrates and their relation with glioblastoma patients overall survival

ABSTRACT Introduction: Several cell populations from the peripheral immune system interact to create a complex immunologic status during glioblastoma growth and response to therapy. The aim of this study was to integrate the impact of different immune cell populations present in glioblastoma tumor microenvironment on overall survival. Methodology: Gene expression and clinical data were generated by The Cancer Genome Atlas and previously reported meta-signatures representing cells of the immune system were used. The relationship between meta-signatures was evaluated through Pearson's correlation analyses. Survival analyses were performed through Kaplan-Meier plots and Cox regression model. Results and discussion: Meta-signatures corresponding to infiltrating immune cells with immunosuppressive roles, such as macrophages, NK and NK T cells, MDSCs and Tregs, correlated with poorer patient prognosis. Meta-signatures related to CD8+ T cells predicted improved survival only in patients with low immunosuppressive meta-signatures. By clustering the meta-signatures we found that the cluster containing high meta-signatures of macrophages, MDSCs and Tregs demonstrated the worst prognosis. Conclusion: Integrating the information provided by transcriptional signatures of immunological aspects is fundamental in understanding the impact of the immune system on patient survival. We found a predictive impact on survival with positive role for CD8 and negative roles for macrophages, MDSC, Tregs, NK and NK-T in glioblastoma patients. Understanding these regulatory and stimulatory factors of patients' immune system is essential to delineate an effective strategy to increase the anti-tumor immune response and to generate potential clinical benefits.
Coverage and Connectivity in WSNs: A Survey, Research Issues and Challenges

Wireless Sensor Networks (WSNs) consist of several battery powered sensor nodes. The sensing coverage of the Field of Interest (FoI) is an important function of the sensor nodes in connected WSNs. A FoI is said to be covered if each point in the FoI is monitored by at least one sensor node. Due to small size, battery power supply, simple architecture, and light weight Operating System of the sensor nodes, maintaining the desired coverage of the FoI consists various issues and challenges in a connected WSN. This paper surveys the existing work done to address various issues and challenges for solving the coverage and connectivity problems in WSNs. Our discussion emphasis on sensing models, classification of coverage, research issues in WSNs and practical challenges in deployment of WSNs. We review a brief but complete overview of the various solutions of coverage problems in connected WSNs and describing insights into issues and challenges for research in this area.
Health-Related Quality of Life in Patients With Progressive Midgut Neuroendocrine Tumors Treated With 177Lu-Dotatate in the Phase III NETTER-1 Trial.

Purpose Neuroendocrine tumor (NET) progression is associated with deterioration in quality of life (QoL). We assessed the impact of 177Lu-Dotatate treatment on time to deterioration in health-related QoL. Methods The NETTER-1 trial is an international phase III study in patients with midgut NETs. Patients were randomly assigned to treatment with 177Lu-Dotatate versus high-dose octreotide. European Organisation for Research and Treatment of Cancer quality-of-life questionnaires QLQ C-30 and G.I. NET-21 were assessed during the trial to determine the impact of treatment on health-related QoL. Patients completed the questionnaires at baseline and every 12 weeks until tumor progression. QoL scores were converted to a 100-point scale according to European Organisation for Research and Treatment of Cancer instructions, and individual changes from baseline scores were assessed. Time to QoL deterioration (TTD) was defined as the time from random assignment to the first QoL deterioration ≥ 10 points for each patient in the corresponding domain scale. All analyses were conducted on the intention-to-treat population. Patients with no deterioration were censored at the last QoL assessment date. Results TTD was significantly longer in the 177Lu-Dotatate arm (n = 117) versus the control arm (n = 114) for the following domains: global health status (hazard ratio [HR], 0.406), physical functioning (HR, 0.518), role functioning (HR, 0.580), fatigue (HR, 0.621), pain (HR, 0.566), diarrhea (HR, 0.473), disease-related worries (HR, 0.572), and body image (HR, 0.425). Differences in median TTD were clinically significant in several domains: 28.8 months versus 6.1 months for global health status, and 25.2 months versus 11.5 months for physical functioning. Conclusion This analysis from the NETTER-1 phase III study demonstrates that, in addition to improving progression-free survival, 177Lu-Dotatate provides a significant QoL benefit for patients with progressive midgut NETs compared with high-dose octreotide.