Miracle-dz/UniFAR-FTUs huggingface dataset:
Concurrent computer-aided design system for supporting technological aspect of cutting die design

Designing of stamping dies is a complex procedure where comprehensive knowledge is needed, in order to understand the interactions of various interdependent parameters that are extensively engaged within all development phases of a sheet-metal stamping product. Many important die design decisions are made based on technological knowledge, which is especially closely related to understanding the activities of product design and process planning. Due to the lack of such valuable knowledge within conventional three-dimensional computer-aided design systems, a concurrent system for supporting technological aspect of die design process is proposed within this article. The system that was developed on top of computer-aided three-dimensional interactive application CATIA V5 product lifecycle management software enables die design automation on the basis of constraint solving. Product design and process planning activities are accomplished concurrently by system’s modules. Finally, it extracts relevant technological information and decisions directly to the die design phase. The system also represents unique basis for the development of some modules capable of automatic reasoning, regarding die design and performing actions on this basis. The experimental results showed that the use of this system significantly shortens sheet-metal product development cycle, improves its quality, and enables efficient training of inexperienced designers.
Self‐guided brisk walking training with or without poles: a randomized‐controlled trial in middle‐aged women

Walking with poles (Nordic walking, NW) has become popular. We compared training responses of brisk walking (W) or NW on cardiorespiratory and neuromuscular fitness. We randomized 121 non‐obese sedentary women (aged 50–60) to an NW or W group (NWG, WG), to train 40 min four times weekly for 13 weeks. Intensity was based on subjective perception of exertion. Cardiorespiratory performance was assessed in four levels corresponding to 50%, 65%, 80% and 100% of peak VO2. Fifty‐four NWG and 53 WG subjects completed the study. The mean intensity was about 50% of heart rate (HR) reserve. The baseline peak VO2 was 25.8 (SD 3.9) mL/min/kg. Both groups improved peak VO2 similarly (NWG 2.5 mL/min/kg, 95% confidence interval (CI) 1.9–3.3; WG 2.6, CI 1.9–3.3). In the submaximal stages while walking with or without poles, HR and lactate decreased after training in both groups, but the changes were not statistically significantly different between the groups. Of the neuromuscular tests after training, the only significant difference between the groups was in the leg strength in the one‐leg squat, favoring WG. In conclusion, both training modes improved similarly health‐enhancing physical fitness, and they were feasible and safe.
Full-Network Embedding in a Multimodal Embedding Pipeline

The current state-of-the-art for image annotation and image retrieval tasks is obtained through deep neural networks, which combine an image representation and a text representation into a shared embedding space. In this paper we evaluate the impact of using the Full-Network embedding in this setting, replacing the original image representation in a competitive multimodal embedding generation scheme. Unlike the one-layer image embeddings typically used by most approaches, the Full-Network embedding provides a multi-scale representation of images, which results in richer characterizations. To measure the influence of the Full-Network embedding, we evaluate its performance on three different datasets, and compare the results with the original multimodal embedding generation scheme when using a one-layer image embedding, and with the rest of the state-of-the-art. Results for image annotation and image retrieval tasks indicate that the Full-Network embedding is consistently superior to the one-layer embedding. These results motivate the integration of the Full-Network embedding on any multimodal embedding generation scheme, something feasible thanks to the flexibility of the approach.
A Novel Bayesian Semiparametric Algorithm for Inferring Population Structure and Adjusting for Case‐Control Association Tests

While the population‐based case‐control approach is the popular study design for association mapping of complex genetic traits because of ease of data collection and statistical analyses, it suffers from the inherent problem of population stratification. There have been methodological developments for adjusting these studies for population substructure, but efficient estimation of the number of subpopulations (K), which has evolutionary significance, remains a statistical challenge. In this article, we propose a Bayesian semiparametric approach to estimate population substructure under the assumption that K is random. Using extensive simulations, we find that our proposed method is not only computationally much faster than an existing Bayesian approach Structure, but also estimates the number of subpopulations more accurately, and thus, yields more power in detecting association in case‐control studies.
Stopping versus continuing acetylsalicylic acid before coronary artery bypass surgery: A systematic review and meta-analysis of 14 randomized controlled trials with 4499 patients

This study aimed to evaluate the efficacy and safety of continuing versus stopping aspirin [acetylsalicylic acid (ASA)] preoperatively in patients undergoing coronary artery bypass graft surgery. MEDLINE, EMBASE, CENTRAL/Cochrane Controlled Trials Register (CCTR), ClinicalTrials.gov, Scientific Electronic Library Online (SciELO), Literatura Latino Americana em Ciências da Saúde (LILACS), Google Scholar and reference lists of relevant articles were searched for randomized controlled trials that reported efficacy outcomes of myocardial infarction and mortality, and safety outcomes of blood loss, packed red blood cell transfusion and surgical re-exploration were compared between groups. Fourteen studies fulfilled our eligibility criteria and included a total of 4499 patients (2329 for 'continuing ASA' and 2170 for 'stopping ASA'). In the pooled analysis, continuing aspirin therapy did not reduce the risk of myocardial infarction [risk ratio 0.834, 95% confidence interval (CI) 0.688-1.010; P = 0.063] or operative mortality (risk ratio 1.384, 95% CI 0.727-2.636; P = 0.323). Preoperative ASA increased postoperative chest tube drainage (mean difference 143 ml, 95% CI 39-248 ml; P = 0.007) and packed red blood cell transfusion (mean difference 142 ml, 95% CI 55-228; P = 0.001) but did not increase the risk of surgical re-exploration (risk ratio 1.316, 95% CI 0.910-1.905; P = 0.145). This meta-analysis found no statistically significant difference regarding the risk of operative mortality and myocardial infarction between the 'continuing ASA' and 'stopping ASA' strategies. On the other hand, the mean volume of blood loss and packed red blood cell transfusion was higher in the 'continuing ASA' group, but this finding did not translate into higher risk of reoperation for bleeding.
Oxazolone-induced enterocolitis in zebrafish depends on the composition of the intestinal microbiota.

BACKGROUND & AIMS The pathogenesis of inflammatory bowel disease involves dysfunctional mucosal immune responses to commensal bacteria in genetically predisposed hosts. Interactions between host cells and bacteria are complicated, making it a challenge to assess their relative contribution to intestinal pathology. We developed a zebrafish model of enterocolitis to study these interactions. METHODS Enterocolitis was induced by intrarectal administration of the hapten oxazolone in adult wild-type and myeloperoxidase-reporter transgenic zebrafish in the presence or absence of antibiotics. Intestinal inflammation was evaluated by histological and flow cytometry analyses and cytokine profiling with quantitative real-time polymerase chain reaction. Changes in the composition of the intestinal microbiota following antibiotic administration were assessed by 16SrRNA sequencing and bacterial load was quantified by culture on nonselective media (colony-forming units). RESULTS In zebrafish, the infiltrate and severity of oxazolone-induced enterocolitis are influenced by the composition of the microbiota. Inflammation is characterized by granulocyte influx; epithelial damage; goblet cell depletion; and increased expression of interleukin-1beta, tumor necrosis factor-alpha, and interleukin-10. Zebrafish given vancomycin had bacterial populations dominated by Fusobacteria and reduced enterocolitis scores, intestinal damage, and percentages of infiltrating neutrophils and eosinophils. In contrast, zebrafish given colistin sulphate had a predominance of proteobacteria and reduced eosinophil and lymphocyte infiltration, but enterocolitis scores were not reduced. CONCLUSIONS In zebrafish with oxazolone-induced enterocolitis, components of the intestinal microbiota affect the severity and composition of the intestinal infiltrate.
Application of Comprehensive Evaluation Method Integrated by Delphi and GAHP in Optimal Siting of Electric Vehicle Charging Station

The Analytic Hierarchy Process (AHP)'s judgment matrix is used to quantify a variety of qualitative factors. Combined with the original quantitative information, the integrated decision will be made. This article uses the Delphi to solve the personal one-sidedness problem of expert judgments. The Grey Analytic Hierarchy Process (GAHP) is made up of AHP and grey statistics decision which can handle the uncertain grey factor. Delphi and GAHP are used to form a new comprehensive evaluation method. This new method is applied to make up the comprehensive evaluation index system of electric vehicle charging station hail and define indicators' weights. Based on this, the rationality comprehensive evaluation value of each optional hail will be defined and provide the basis for optimal decision of charging station locating. A practical example proves that this method has good practicability.
Lightweight identity-based authentication protocol for wireless sensor networks

Wireless sensor network WSN is often deployed in hostile environments, which make it vulnerable to attacks. WSN comprises a large number of sensor nodes with different hardware abilities and functions. Due to the limited memory resources and energy constraints, complex security algorithms cannot be used in WSN. Hence, it is necessary to balance between security requirements and energy consumption. In this paper, we propose a lightweight public-key-based authentication protocol for WSNs. Our protocol uses identity-based encryption in order to lighten the energy consumption from the public-key certificate management. We have developed two variations of the proposed solution depending on the manner and when an attack should be detected. We perform an overall evaluation of our approach through simulations. The results indicate out performance of our approach in terms of energy consumption while providing effective security.
Asymptotic Outage Analysis of HARQ-IR Over Time-Correlated Nakagami- $m$ Fading Channels

In this paper, outage performance of hybrid automatic repeat request with incremental redundancy (HARQ-IR) is analyzed. Unlike prior analyses, time-correlated Nakagami- $m$ fading channel is considered. The outage analysis thus involves the probability distribution analysis of a product of multiple correlated shifted Gamma random variables and is more challenging than prior analyses. Based on the findings of the conditional independence of the received signal-to-noise ratios, the outage probability is exactly derived by using conditional Mellin transform. Specifically, the outage probability of HARQ-IR under time-correlated Nakagami- $m$ fading channels can be written as a weighted sum of outage probabilities of HARQ-IR over independent Nakagami fading channels, where the weightings are determined by a negative multinomial distribution. This result enables not only an efficient truncation approximation of the outage probability with uniform convergence but also asymptotic outage analysis to further extract clear insights, which have never been discovered for HARQ-IR even under fast fading channels. The asymptotic outage probability is then derived in a simple form, which clearly quantifies the impacts of transmit powers, channel time correlation, and information transmission rate. It is proved that the asymptotic outage probability is an inverse power function of the product of transmission powers in all HARQ rounds, an increasing function of the channel time correlation coefficients, and a monotonically increasing and convex function of information transmission rate. The simple expression of the asymptotic result enables optimal power allocation and optimal rate selection of HARQ-IR with low complexity. Finally, numerical results are provided to verify our analytical results and justify the application of the asymptotic result for optimal system design.
Identification of novel hrp‐regulated genes through functional genomic analysis of the Pseudomonas syringae pv. tomato DC3000 genome

Pseudomonas syringae pv. tomato ( Pst ) strain DC3000 infects the model plants Arabidopsis thaliana and tomato, causing disease symptoms characterized by necrotic lesions surrounded by chlorosis. One mechanism used by Pst DC3000 to infect host plants is the type III protein secretion system, which is thought to deliver multiple effector proteins to the plant cell. The exact number of type III effectors in Pst DC3000 or any other plant pathogenic bacterium is not known. All known type III effector genes of P. syringae are regulated by HrpS, an NtrC family protein, and the HrpL alternative sigma factor, which presumably binds to a conserved cis element (called the ‘hrp box’) in the promoters of type III secretion‐associated genes. In this study, we designed a search motif based on the promoter sequences conserved in 12 published hrp operons and putative effector genes in Pst DC3000. Seventy‐three predicted genes were retrieved from the January 2001 release of the Pst DC3000 genome sequence, which had 95% genome coverage. The expression of the 73 genes was analysed by microarray and Northern blotting, revealing 24 genes/operons (including eight novel genes), the expression of which was consistently higher in hrp ‐inducing minimal medium than in nutrient‐rich Luria–Bertani broth. Expression of all eight genes was dependent on the hrpS gene. Most were also dependent on the hrpL gene, but at least one was dependent on the hrpS gene, but not on the hrpL gene. An AvrRpt2‐based type III translocation assay provides evidence that some of the hrpS ‐regulated novel genes encode putative effector proteins.
Andrology: The interaction in vitro of human spermatozoa with epithelial cells from the human uterine (Fallopian) tube

The physical interaction between human spermatozoa and the epithelium of the human uterine (Fallopian) tube was investigated in vitro using a variety of techniques. The 'live' observation of human spermatozoa incubated with 1 day old cultures of tubal epithelium demonstrated that spermatozoa can show a strong physical interaction with epithelial cells; contact with the epithelium appeared to be random and there was no evidence of any taxis toward epithelial cells. The physical interaction (or 'binding') was resistant to gentle washing and was maintained following the addition of glutaraldehyde fixative. The intimate nature of the interaction was confirmed ultrastructurally where both spermatozoa and epithelial membranes were observed to be in close apposition. These results are the first descriptions of sperm-epithelial 'binding' in the human. They are similar to other observations made in a variety of non-human mammalian species. It is suggested that this interaction may be an important feature of normal sperm transport in the human uterine tube in vivo.
Epidemiology and impact of aspiration pneumonia in patients undergoing surgery in Maryland, 1999–2000

ObjectiveThe epidemiology of aspiration pneumonia and its impact on clinical and economic outcomes in surgical patients are poorly defined. We sought to identify preoperative patient characteristics and surgical procedures that are associated with an increased risk for aspiration pneumonia and to determine the clinical and economic impact in hospitalized surgical patients. DesignObservational study using a state discharge database. SettingAll hospitals in Maryland. PatientsWe obtained discharge data for 318,880 adult surgical patients in 52 Maryland hospitals from January 1, 1999, through December 31, 2000. Measurements and Main ResultsThe primary outcome variable was a discharge diagnosis of aspiration pneumonia. Unadjusted and adjusted analyses were performed to identify patient characteristics and surgical procedures associated with an increased risk for aspiration pneumonia and to determine the impact on intensive care unit admission, in-hospital mortality, hospital length of stay, and total hospital charges. The overall prevalence of aspiration pneumonia was 0.8%. The prevalence varied among hospitals (range, 0% to 1.9%) and by surgical procedure (range, <0.1% to 19.1%). Patient characteristics independently associated with an increased risk included: male sex, nonwhite race, age of >60 yrs vs. 18–29 yrs, dementia, chronic obstructive pulmonary disease, renal disease, malignancy, moderate to severe liver disease, and emergency room admission. In patients undergoing procedures other than tracheostomy, aspiration pneumonia was independently associated with an increased risk for admission to the intensive care unit (odds ratio, 4.0; 95% confidence interval, 3.0–5.1), in-hospital mortality (odds ratio, 7.6; 95% confidence interval, 6.5–8.9), longer hospital length of stay (estimated mean increase of 9 days; 95% confidence interval, 8–10), and increased total hospital charges (estimated mean increase of $22,000; 95% confidence interval, $19,000–$25,000). ConclusionsAspiration pneumonia occurs in approximately 1% of surgical patients and is associated with significant morbidity, mortality, and costs of care. Given that the rate of aspiration pneumonia varies among hospitals, we can improve the quality and reduce the costs of care by implementing strategies to reduce the rate of aspiration pneumonia.
Noninvasive Estimation of Hyperthermia Based on B-mode Ultrasonic Tissue Characterization

Tne noninvasive estimation of tissue temperature and state is a key problem in hyperthermia. The purpose of this paper is to study a kind of new ultrasonic method for hyperthermia monitoring in clinic; it is a noninvasive method based on ultrasonic tissue characterization of B-mode. The experiments were carried out on in-vitro animal tissues that were heated by hot water and microwave coagulation, and a series of B-mode ultrasonic images of liver were obtained over the temperature. Then the images were processed to extract some character parameters at different temperatures, and the temperature correlations of these ultrasonic tissue character parameters were calculated. It has been found that some parameters varied in accordance with the temperature changes in the heated tissue, and the average gray value in B-mode ultrasonic images of the heated liver has linear relation with the temperature.
Increased urinary type IV collagen marks the development of glomerular pathology in diabetic d/db mice.

The diabetic db/db mouse exhibits increased albumin excretion soon after the onset of obesity and hyperglycemia, and later manifests glomerular mesangial matrix expansion resembling that found in human diabetic nephropathy. Since the glomerular lesion in this rodent model of type 2 diabetes is associated with renal overexpression of mRNA encoding type IV collagen, we postulated that changes in the urinary excretion of collagen IV may reflect developing glomerular pathology. To explore this hypothesis, we monitored urinary collagen IV (measured by immunoassay) in db/db mice during the course of evolution of nephropathy. At age 8 weeks, collagen IV excretion was not different in diabetic compared to nondiabetic animals despite marked albuminuria, but was significantly increased in db/db compared to db/m mice at age 12 and 16 weeks. Serum levels of collagen IV did not significantly differ between normal versus diabetic mice at any age. Glomerular morphometry revealed mesangial matrix expansion at age 12 weeks, coincident with the rise in collagen IV excretion, which became more marked at age 16 weeks in association with reduced creatinine clearance and elevated serum creatinine. The findings suggest that increased urinary type IV collagen is a better indicator than albuminuria of developing glomerular matrix accumulation that results in compromised renal filtration function.
The human mitochondrial deoxynucleotide carrier and its role in the toxicity of nucleoside antivirals

The synthesis of DNA in mitochondria requires the uptake of deoxynucleotides into the matrix of the organelle. We have characterized a human cDNA encoding a member of the family of mitochondrial carriers. The protein has been overexpressed in bacteria and reconstituted into phospholipid vesicles where it catalyzed the transport of all four deoxy (d) NDPs, and, less efficiently, the corresponding dNTPs, in exchange for dNDPs, ADP, or ATP. It did not transport dNMPs, NMPs, deoxynucleosides, nucleosides, purines, or pyrimidines. The physiological role of this deoxynucleotide carrier is probably to supply deoxynucleotides to the mitochondrial matrix for conversion to triphosphates and incorporation into mitochondrial DNA. The protein is expressed in all human tissues that were examined except for placenta, in accord with such a central role. The deoxynucleotide carrier also transports dideoxynucleotides efficiently. It is likely to be medically important by providing the means of uptake into mitochondria of nucleoside analogs, leading to the mitochondrial impairment that underlies the toxic side effects of such drugs in the treatment of viral illnesses, including AIDS, and in cancer therapy.
Optimal Order Policy based on VaR with a Supply-Risk-Averse Retailer

We study a newsvendor problem with one risk-neutral supplier with random yield,and one riskaverse retailer.The objective function of the risk-averse retailer is described using Value-at-Risk(VaR). We analyze the impact of risk pair including risk-averse coefficient and retained profit on retailer's order policy.We then analyze the behavior of the retailer's order policy on supply chain agents' revenue and risk.The results show that:(1)the risk-averse retailer's optimal quantity is always no less than the riskneutral case,and the higher the degree of risk-averse,the greater the quantity.The retailer's aversion is jointly determined by the coefficient of risk aversion and retained profit;(2)compared with the riskneutral case,the risk-averse retailer's expected profit is reduced,but retailer's risk is reduced as well.In the case without supply chain coordination,the behavior of the retailer's order policy make the supplier's expected profit increase,and make supply chain's expected profit uncertain,but the supply chain risk is reduced.
A hybrid wavelet based feature extraction approach to analysis of high dimensional proteomic patterns

Pathologic states within an organ can be reflected by changes in serum proteomic patterns. Mass spectrometry is becoming an important tool that generates the proteomic patterns. Mass spectrometry yields complex functional data for which the features of scientific interest are the peaks. Due to this complexity of data, a higher order analysis such as wavelet transform is needed to uncover the differences in proteomic patterns. In this research, a wavelet based feature extraction method was applied to available data and used a modified Fisher's criterion to feature subset selection in order to identify the appropriate biomarkers from reconstructed mass spectra. Using different classification algorithms, proposed approach yielded an accuracy of 95%, specificity of 94%, and sensitivity of 97%.