Miracle-dz/UniFAR-FTUs huggingface dataset:
OWF power to the mainland, without considering the electrical interconnection of the wind turbines

Development of large-scale off-shore wind farms (OWFs) around the world has created different technical and economic challenges. Optimal configuration of the electrical interconnection of the OWFs is a key factor to minimize the investment and operational costs. This paper proposes an optimization formulation by using a Genetic Algorithm (GA) to find the optimal electrical interconnection configuration for a given OWF topology with different number of turbines. A search algorithm has been incorporated into the objective function that enumerates all feasible power flow directions from all turbines towards the power collecting hub, identifying the power flow path that minimizes the cable dimensions and thus the overall cost. The algorithm has been tested on several OWF topologies. The impact of the location of the hub has also been investigated by way of simulations. Furthermore, a comparison between single-hub and multi-hub solution has been made for multi-OWF system. The results show that multihub solution can be a better choice in general, especially when only the interconnection cost is compared.
Trends in Glycemia between 2002 and 2016 among Incident Youth Cohorts Early in the Course of Type 1 Diabetes: The SEARCH for Diabetes in Youth Study

Objective Hyperglycemia early in the course of type 1 diabetes (T1D) may increase the risk of cardiometabolic complications later in life. We tested the hypothesis that there were temporal trends in population-level glycemia and insulin pump use near T1D diagnosis among incident youth cohorts diagnosed between 2002 and 2016. Methods Weighted and adjusted regression models were applied to data from the SEARCH for Diabetes in Youth study to analyze trends in hemoglobin A1c (HbA1c), suboptimal glycemia (HbA1c > 9% or not), and insulin pump use among youth with T1D within 30 months of diagnosis. We tested the interaction of year with race and ethnicity, sex, and insulin regimen to assess potential disparities. Results Among the 3,956 youth with T1D, there was a small, clinically insignificant reduction in HbA1c between 2002 (7.9% ± 1.5) and 2016 (7.8% ± 2.4) (fully adjusted change by year (-0.013% [95% CI -0.026, -0.0008], p = 0.04). The proportion of youth with suboptimal glycemia increased with each year, but the adjusted odds did not change. Insulin pump use increased more than fivefold. Although interaction effects of time with race and ethnicity, sex, and insulin regimen were not detected, in 2016, suboptimal glycemia was 4.3 and 1.8 times more prevalent among Black and Hispanic than among non-Hispanic White youth, respectively. Conclusions There was not a clinically significant population-level improvement in glycemia across incident youth cohorts early in the course of T1D, despite severalfold increases in insulin pump use. Comprehensive clinical interventions to improve glycemia early in the T1D course and address disparities are urgently needed.
Extrapulmonary sarcoidosis involving only the heart and guts: a case report

Abstract Background The respiratory tract is the most commonly affected organ system in sarcoidosis. Purely extrapulmonary sarcoidosis is rare. There have been no reports of extrapulmonary sarcoidosis with lesions only in the heart and guts. Case summary A 19-year-old male was admitted for chest symptoms accompanied by remarkably elevated troponin T and creatinine kinase levels. Electrocardiogram (ECG) showed sinus rhythm with a right bundle branch block, broad ST segment elevation, and abnormal Q waves. Endoscopic biopsy revealed granuloma formation in the transverse colon. Based on multimodal imaging, we made a clinical diagnosis of extrapulmonary sarcoidosis involving only the heart and guts. One year of immunosuppressive therapy with prednisolone resolved the inflammation in the guts but not in the heart. He experienced runs of sustained ventricular tachycardia with loss of consciousness and was admitted to our hospital again. The addition of methotrexate markedly reduced cardiac accumulation of fluorodeoxyglucose. No life-threatening ventricular arrhythmias have been recorded afterwards. Discussion This unusual case of cardiac sarcoidosis not only involved rare lesions only in the heart and guts but also presented with ST elevation on ECG. This case suggests that the gastrointestinal tract is a site of effective antigen capture outside of the respiratory tract that can affect the heart.
Predictability effects in degraded speech comprehension are reduced as a function of attention

Abstract The aim of this study was to examine the role of attention in understanding linguistic information even in a noisy environment. To assess the role of attention, we varied task instructions in two experiments in which participants were instructed to listen to short sentences and thereafter to type in the last word they heard or to type in the whole sentence. We were interested in how these task instructions influence the interplay between top-down prediction and bottom-up perceptual processes during language comprehension. Therefore, we created sentences that varied in the degree of predictability (low, medium, and high) as well as in the degree of speech degradation (four, six, and eight noise-vocoding channels). Results indicated better word recognition for highly predictable sentences for moderate, though not for high, levels of speech degradation, but only when attention was directed to the whole sentence. This underlines the important role of attention in language comprehension.
New Method of Measurements Transient Thermal Impedance and Radial Power of Power LEDs

In this paper, a new method of measuring transient thermal impedance of power LEDs and radial power is proposed. The idea of the method is described, and the measurement setup realizing this method is presented. The measurement error of the proposed method is analyzed, and some results of measurements realized with the use of the proposed method are presented and discussed. Selected results of measurements are compared with the measurements results realized with other methods described in the literature.
Visualizing the impact of Covid-19 on economic complexity clusters: the case of Mexico

ABSTRACT In response to the SARS-CoV-2 outbreak, the Mexican government implemented lockdown and business closure measures to minimize the spread of the disease. This graphic shows whether under those measures the clusters of economic complexity – a measure of the diversification of economic activities, particularly those that are highly sophisticated – have changed relative to the period before the Covid-19 pandemic. The visualization shows a notable reduction in economic complexity clusters during 2020 and a rapid increase in 2021.
Correlations of morpho-agronomic traits and forage quality properties in diverse red clover (Trifolium pratense L.) collections

Red clover is an important perennial fodrage legume and a rich source of highly nutritional voluminous forage for livestock feed, which is continuously improved by plant breeding efforts that rely significantly on trait correlation studies. A two-year field trial was conducted at Rimski Sancevi, Novi Sad, Serbia. The aim of this research was to assess correlations of important morpho-agronomic traits and forage quality properties of 46 red clover accessions of diverse origins. The highest Spearman? s correlation coefficient (0.97, p<0.01) was found between the branch number and internode number per stem in the first experimental year. The green mass yield and the dry matter yield in both years had very high (0.95, p<0.01) and high (0.86, p<0.01) correlations, respectively. The stem height and internode number per stem had intermediate correlations in both years (0.68, p<0.01, and 0.50, p<0.01, respectively), and stem height exhibited an intermediate correlation with green mass yield (0.57, p<0.01, and 0.62, p<0.01, respectively) and dry matter yield (0.60, p<0.01, and 0.56, p <0.01, respectively) in both years. Thus, the indirect selection for higher plants with higher numbers of internodes per stem may contribute to accomplishing higher yield performance per plant. Although the branch number showed the highest positive correlation (p<0.01) with internode number per stem and an intermediate positive correlation (p<0.01) with stem height, this trait had a low correlation with green mass yield and dry matter yield and cannot be used as a criterion for indirect selection.
A Multidisciplinary Approach Integrating Emergy Analysis and Process Modeling for Agricultural Systems Sustainable Management—Coffee Farm Validation

Agricultural production operates via the existing relationships between nature and economy. Its sustainable development requires tools that provide a broad vision of the energy flows that intervene in these systems, to support the decision-making process in energy management. To quantify the environmental resources and economic inputs involved, emergy analysis has been used, as well as process modeling, to make a detailed record of the system inputs. The research aim is to propose a multidisciplinary approach that integrates emergy analysis and process modeling in agricultural systems, promoting their sustainable management. This approach was validated in the Los Naranjos coffee farm in Popayán, Colombia, during the years 2018–2020. The results show that the farm achieved its best energy performance and was more sustainable in 2020, producing 1693 kg/ha of green coffee, with the lowest Unit Emergy Value (UEV; 1.12 × 106 seJ/J) and the highest Emergy Sustainability Index (0.24), for the three years analyzed. In addition, natural inputs contribute approximately 27% of the total emergy, and those from the economy contribute 73%. In conclusion, this approach allows a precise and complete analysis of the system’s energy flows, significant energy uses, and energy sources at each production process stage, helping to establish the basis for an energy management system. We consider that the proposed multidisciplinary approach is a tool that would help in the sustainable management of any agricultural system, and its implementation and comparison in various contexts would be important.
Intrusion Detection Network Attacks Based on Whale Optimization Algorithm

Network intrusion detection is a significant issue faced by the Information technology industry. Hacker's attacks set of techniques cause confusion network and computer systems, therefore, the need for a network penetration detection process became urgent. This paper proposed an optimization method to detect the potential of attacks on network packets effectively by defining unfamiliar patterns in a massive volume of the network traffic. Initially, the packet characteristics are defined as the normal dispersal of attributes from the data packet. This algorithm is used a bio-inspired meta-heuristic technique named whale optimization algorithm (WOA) to detect systems against the attackers. The detection method whale optimization (DMWO) is applied to calculate the process of standard deviation distribution to judge the anomaly of the data packet. The simulation algorithm performed by OPNET and Matlab-2015a to main factors of DMGO to classify the input to check whether any attack is present or not. Finally, the performance of this algorithm is a better flexibility result compared with other algorithms DMCM and IHMM.
Can we ‘Catch ‘em All’? An exploration of the nexus between augmented reality games, urban planning and urban design

ABSTRACT Urban planners and designers have spent the last 50 years trying to activate unused public spaces, create walkable cities and encourage sociability through urban design. Pokémon Go has succeeded, almost overnight, to entice people of all demographics into the streets of cities around the world. In fact, many previously underutilized public spaces have suddenly become hot spots for all demographics, playing Pokémon Go and other similar augmented reality games (ARGs). While anecdotally it seems that ARGs activate public spaces, increase community interactions and facilitate exploration of urban spaces, little study has been done on the influence of ARGs on sense of place, or the way in which these games are influencing player engagement with the public spaces they are playing within. This paper reports the findings of a survey of 994 Australian players. The paper explores whether ARGs affect user needs being met in public spaces, and the implications of these findings for urban practitioners.
Identification of Six Genes as Diagnostic Markers for Colorectal Cancer Detection by Integrating Multiple Expression Profiles

Background Many studies have demonstrated the promising utility of DNA methylation and miRNA as biomarkers for colorectal cancer (CRC) early detection. However, mRNA is rarely reported. This study aimed to identify novel fecal-based mRNA signatures. Methods The differentially expressed genes (DEGs) were first determined between CRCs and matched normal samples by integrating multiple datasets. Then, Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to reduce the number of candidates of aberrantly expressed genes. Next, the potential functions were investigated for the candidate signatures and their ability to detect CRC and pan-cancers was comprehensively evaluated. Results We identified 1841 common DEGs in two independent datasets. Functional enrichment analysis revealed they were mainly related to extracellular structure, biosynthesis, and cell adhesion. The CRC classifier was established based on six genes screened by LASSO regression. Sensitivity, specificity, and area under the ROC curve (AUC) for CRC detection were 79.30%, 80.40%, and 0.85 (0.76–0.92) in the training set, and these indexes achieved 93.20%, 41.80%, and 0.73 (0.65–0.83) in the testing set. For validation set, the sensitivity, specificity, and AUC were 98.90%, 98.00%, and 0.97 (0.94–0.99). The average sensitivities exceeded 90.00% for CRCs with different clinical features. For adenomas detection, the sensitivity and specificity were 74.50% and 64.00%. Besides, the six genes obtained an average AUC of 0.855 for pan-cancer detection. Conclusion The six-gene signatures showed ability to detect CRC and pan-cancer samples, which could be served as potential diagnostic markers.
Modelling of Ceramic Particle Motion during Semi-Solid Forming of Aluminium Matrix Composites via CFD-DEM Four-Way Coupling

Today, aluminium matrix composites (AMC) are widely used for the manufacturing of lightweight, yet highly stressed components in automotive, aeronautic and electrical engineering. In order to achieve particle distributions as homogeneous as possible within these component’s volumes and thus ensure optimum component properties, efforts are being made to simulate the manufacturing process prior to production. In this paper, AMC with extremely high particle fractions of more than 25 vol.% are considered in particular, as their processing still poses significant technological challenges. To model the particle motion in a computational fluid dynamics (CFD) simulation of the semi-solid forming process of this type of materials, a Lagrangian multiphase approach combining CFD and discrete element method (DEM) was used. Here, the DEM allowed all particle-particle interactions to be considered. Thus, different parameters influencing particle agglomeration, particle distribution as well as particle interaction with the cavity can be investigated during a numerical study. More specifically, the influence particle parameters such as cohesion forces and the influence of the forming speed onto the particle distribution in the final component ́s volume was analysed. The simulations were performed for a symmetric disc geometry. A forming tool was already available for this geometry, with which components could be manufactured to validate the simulation results. In the end, the study shows that by using four-way CFD-DEM coupling, simulation predictability for the semi-solid forming process of AMC could be significantly improved.
ConPhrase: Enhancing Context-Aware Phrase Mining From Text Corpora

Phrase mining is an essential step when transforming unstructured text into structured information, in which the aim is to extract high-quality phrases from given corpora automatically. Existing statistics-based methods have achieved state-of-the-art performance on this task. However, such methods often rely heavily on statistical signals to extract quality phrases, ignoring the effect of contextual information. In this paper, we propose a novel context-aware method, called ConPhrase, for quality phrase mining under distantly supervised settings. Specifically, ConPhrase formulates phrase mining as a sequence labeling problem by considering local contextual information, and also incorporates distant supervision methods to automatically generate labeled data. It comprises two modules designed to tackle global information scarcity and noisy data filtration: 1) a topic-aware phrase recognition network that incorporates domain-related topic information into word representation learning to identify quality phrases effectively; 2) an instance selection network that focuses on choosing correct sentences with reinforcement learning for improving the prediction performance of the phrase recognition network. Moreover, we also propose an extended variant of ConPhrase, called ConPhrase+, that further enhances phrase recognition by utilizing document-level contextual information across sentences within the entire document. Experimental results show that contextual information is indispensable for phrase mining and our context-aware methods perform significantly better than state-of-the-art approaches on three publicly available datasets.
Reconsidering Statistics Education: A National Science Foundation Conference

1 Recent survey data demonstrate an acute need for curricular resources in statistics. The first half of this paper summarizes and compares a dozen current or recent NSF projects, most of which are developing such resources. (As an aid to interested instructors, an appendix gives more detail on the individual projects, along with a list of available files that provide even more detail.) Nearly all these projects involve activities for statistical laboratories, at least implicitly, although the labs are used in a variety of ways: for analysis of archival data sets, for hands-on production of data for analysis, and for simulation-based learning. These three kinds of labs are compared in terms of their complementary sets of advantages.2 This paper grows out of a small conference which brought together NSF Program Officers, Principal Investigators and Co-PIs of the projects, and a half-dozen other teachers of statistics. The second half of the paper develops four themes from the conference: (1) Questioning st.
Preliminary Findings of Caregivers’ Burden among Parents of Adolescents with Anorexia Nervosa: An Exploratory Study

Background: The multifactoriality of Anorexia Nervosa (AN) and the specificity of the treatment that provides for the compliance of parents (caregivers) is consolidated in the scientific literature. Caregivers’ burden, in addition to negatively affecting parents’ Quality of Life (QoL), can act as a maintenance factor for the disorder itself. Aim: Within a much broader research project, this work focuses on a preliminary analysis of the presence and level of burden in couples of parents of adolescents with Eating Disorders (EDs) and related variables. Methods: At a clinic dedicated to EDs, three couples of parents (mean age = 47.50; SD = 2.73) of three female patients with AN (mean age = 16; SD = 1.78), prior to taking charge, which includes protocol, psychoeducation, and family psychotherapy meetings. Caregivers completed a questionnaire consisting of standardized screening tests for assessing psychological assets: (a) Depression Anxiety Stress Scale-21 (DASS-21), (b) Family Strain Questionnaire—Short Form (FSQ-SF), (c) Resilience Scale (RS), and (d) semi-structured interview. Results: High levels of anxiety (18 ± 6.9), stress (13.33 ± 10.26), and depression (12 ± 6.9) are found in mother caregivers, while father caregivers are more resilient (57.33 ± 8.5). A high level of caregivers’ burden was associated with being unemployed (3.33 ± 2.51), being a mother (4.33 ± 1.52), and with a highly pathological patient to care for (3 ± 4.24). Conclusions: Evaluating family caregivers of ED patients for risk factors of burden allows them to offer care and reduce the perceived stress of care.
Design of a Balanced Model for Evaluating the Outcomes of ERP Projects

This paper aims to design a balanced scorecard to measure the contribution of ERP systems to improving the multidimensional performance of companies from different perspectives (internal processes, customer, financial, learning & innovation). Then, the proposal of an ERP impact model (MI-ERP) which illustrates this contribution validated by empirical studies carried out in several large organizations. The analysis of the results shows that the companies studied have mainly benefited from the advantages of ERP in terms of improving overall performance (between 63% and 90%). This improvement is strongly manifested at the “Internal processes” level, more than on the other aspects of performance. The study further describes the situation of ERP in large organizations in Morocco.
Dual-Drug Loaded Separable Microneedles for Efficient Rheumatoid Arthritis Therapy

Although the inhibitors of the interleukin-6 receptor (IL-6R) and tumor necrosis factor-α (TNF-α) have achieved a certain success in the clinical treatment of rheumatoid arthritis (RA), great effort should be made to overcome side effects and to improve patient compliance. The present research aimed to address these problems by the co-delivery of tocilizumab (TCZ)—an inhibitor of IL-6R—and an aptamer Apt1-67, which specifically inhibits TNF receptor 1 via separable microneedles (MN). MN were featured with a sustained release of TCZ from needle tips and a rapid release of Apt1-67 from needle bodies by using methacrylate groups grafted hyaluronic acid as the fillings of needle tips and polyvinyl alcohol/polyvinyl pyrrolidone as the fillings of needle bodies. Our results demonstrated that TCZ and Apt1-67 were distributed in MN as expected, and they could be released to the surroundings in the skin. In vivo studies revealed that combined medication via MN (TCZ/Apt1-67@MN) was superior to MN loaded with a single drug. Compared with subcutaneous injection, TCZ/Apt1-67@MN was of great advantage in inhibiting bone erosion and alleviating symptoms of CIA mice. This study not only provides a novel approach for combined medication with different release properties but also supplies a strategy for improving drug efficacy.