Miracle-dz/UniFAR-FTUs huggingface dataset:
Power Flow Analysis for Low-Voltage AC and DC Microgrids Considering Droop Control and Virtual Impedance

In the low-voltage (LV) ac microgrids (MGs), with a relatively high R/X ratio, virtual impedance is usually adopted to improve the performance of droop control applied to distributed generators (DGs). At the same time, LV dc MG using virtual impedance as droop control is emerging without adequate power flow studies. In this paper, power flow analyses for both ac and dc MGs are formulated and implemented. The mathematical models for both types of MGs considering the concept of virtual impedance are used to be in conformity with the practical control of the DGs. As a result, calculation accuracy is improved for both ac and dc MG power flow analyses, comparing with previous methods without considering virtual impedance. Case studies are conducted to verify the proposed power flow analyses in terms of convergence and accuracy. Investigation of the impact to the system of internal control parameters adopted by DGs is also conducted by using proposed method.
Efficient algorithms for computing a rank-revealing UTV factorization on parallel computing architectures

The randomized singular value decomposition (RSVD) is by now a well established technique for efficiently computing an approximate singular value decomposition of a matrix. Building on the ideas that underpin the RSVD, the recently proposed algorithm"randUTV"computes a FULL factorization of a given matrix that provides low-rank approximations with near-optimal error. Because the bulk of randUTV is cast in terms of communication-efficient operations like matrix-matrix multiplication and unpivoted QR factorizations, it is faster than competing rank-revealing factorization methods like column pivoted QR in most high performance computational settings. In this article, optimized randUTV implementations are presented for both shared memory and distributed memory computing environments. For shared memory, randUTV is redesigned in terms of an"algorithm-by-blocks"that, together with a runtime task scheduler, eliminates bottlenecks from data synchronization points to achieve acceleration over the standard"blocked algorithm", based on a purely fork-join approach. The distributed memory implementation is based on the ScaLAPACK library. The performances of our new codes compare favorably with competing factorizations available on both shared memory and distributed memory architectures.
Digital Literacy: An Investigation into Perceived Competencies of Open Distance Learning Students in the Eastern Cape Province of South Africa

The aim of this study was to investigate and describe the perceived digital literacy (DL) competencies of open distance learning (ODL) students at the University of South Africa (Unisa) in the Eastern Cape (EC) province of South Africa. The association between the socio-demographic variables of the students and their perceived DL competencies was statistically tested. In this study, I examined whether there is a statistically significant relationship between the independent variables, attitudes towards digital technology (DT) for academic purposes, use of the Learner Management System (LMS), attendance at regional DL workshops, and the dependent variable, perceived DL competencies. Internationally, there are numerous DL frameworks with a variety of terminologies and definitions for DL (Hall, Atkins, and Fraser 2014; Ilomäki et al. 2016; Pokpas 2014). Pokpas (2014) studied the available frameworks and developed a new conceptual framework of e-skills for digital inclusion. Eight competence components were identified: basic, technological, information, media, communication and collaboration, real-time thinking, creation of content, and transferable. The expected knowledge, skills and attitudes were specified for each of the eight components. In this study, I employed this theoretical framework to investigate the perceived DL competencies of ODL students in the EC province of South Africa. The research question for this study was: What are the perceived DL competencies of Unisa’s EC students? In addition, the following sub-questions were also dealt with: • What are students’ attitudes towards using DT for educational purposes? • To what extent do students use the Unisa LMS? • Do students attend DL workshops in the EC region? • Is there a statistically significant association(s) between the socio-demographic and academic characteristics and the students’ perceived DL competencies?
TIME SERIES ANALYSIS AND FORECAST OF CRASH FATALITIES DURING SIX HOLIDAY PERIODS

This research note uses two Time Series techniques, Holt-Winters (HW) Algorithm and Autoregressive Moving Average Model (ARMA), to predict motor vehicle crash fatalities during six holiday periods. Based on the data from 1983 to 2001, the estimated fatalities in 2002 are: 564 and 564 (New Year), 501 and 514 (Memorial), 748 and 755 (4th of July), 486 and 498 (Labor), 572 and 565 (Thanksgiving), and 156 and 145 (Christmas). Incorporating the actual 2002 fatality counts in the data series, the forecasts for the 2003 holiday periods are: 141 and 141 (New Year), 508 and 504 (Memorial), 537 and 564 (4th of July), 526 and 545 (Labor), 547 and 564 (Thanksgiving), and 548 and 576 (Christmas).
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The use of integrated models of the human body in three-dimensional environments enables the study of the anatomic structures with a high degree of interactivity and detail. The geographical information systems approach in building topological models allows overcoming certain limitations found in anatomical atlases. In this study, an integrated (vector-raster) 3D model, which defines the external surface of the human body, is expanded by adding the corresponding anatomical structures. The reconstruction of the anatomical structures begins with their segmentation, performed on transverse RGB images of the body. The expanded model, built with explicit topological features, enhances the functionality of the input model by optimizing the identification function and developing an inclusion analysis in 3D. The features of the expanded model allow exploring more efficiently the human body information and representation.
Effect of additives and filling methods on whole plant corn silage quality , fermentation 2 characteristics and in situ digestibility 3 4

37 Objective: This project aimed to evaluate the effects of both different additives and filling 38 methods on nutritive quality, fermentation profile, and in situ digestibility of whole plant corn 39 silage. 40 Methods: Whole plant corn forage harvested at 26.72 % dry matter (DM) was chopped and 41 treated with two filling methods, 1) fill silos at one time (F1), 2) fill silos at three times (F3), 42 packing samples into one / three silo capacity at the first day, another one / three capacity at the 43 second day, then one / three at the third day, three replicates. For each replicate, samples were 44 treated with three additives, a) control (CTRL, no additive), b) Sila-MaxTM (MAX, Ralco 45 Nutrition Inc., Marshall, Minnesota, U.S.A.), and c) Sila-MixTM (MIX, Ralco Nutrition Inc., 46 Marshall, Minnesota, U.S.A.). With three replicates of each secondary treatment, there were nine 47 silos, 54 silos in total. Each silo had a packing density of 137.61 kg of DM / m 3 . All silos were 48 weighed and stored in lab at ambient temperature. 49 Results: After 60 d of ensiling, all items showed good silage fermentation under MAX filled one 50 time or three times (P<0.01). Higher silage quality for all additives was obtained at filling one 51 time than that filled three times (P<0.01). The highest DM and lowest DM loss rate (DMLR) 52 occurred to MAX treatment at two filling methods (P<0.01); Digestibility of ADF (ADFD), NDF 53 (NDFD) and CP (CPD) had the same results as silage quality (P<0.01). Yield of digestible DM 54 (dDM) and digestible NDF (dNDF) also showed higher value under MAX especially for filling 55 Ac ce pt ed A rti cle
Variation of distortion within the photographic field

For the attainment of the highest accuracies in close-range industrial photogrammetry, it is necessary to account for the variation of radial distortion within the photographic field, expecially for large-format lenses. In this paper an empirical correction model is introduced which overcomes serious shortcomings in the traditionally applied geometric correction approach. The new model has been tested with success on a number of medium- and wide-angle, medium- and large-format lenses. The results of sample tests are presented, and the effectiveness and practicability of the empirical approach are discussed.
Higher neutrophil counts before thrombolysis for cerebral ischemia predict worse outcomes

Objective: To determine whether higher neutrophil counts before IV recombinant tissue plasminogen activator (rtPA) administration in ischemic stroke (IS) patients are associated with symptomatic intracerebral hemorrhages (sICH) and worse outcomes at 3 months. Methods: Blood samples for leukocyte, neutrophil, and lymphocyte counts were drawn before IV rtPA administration in IS patients included in the cohorts of Lille and Helsinki. The primary endpoint was sICH (European Cooperative Acute Stroke–II definition). Secondary endpoints were death and excellent (modified Rankin Scale [mRS] score 0–1 or equal to prestroke mRS) and good (mRS score 0–2 or equal to prestroke mRS) outcomes at 3 months. Results: We included 846 patients (median age 71 years; 50.8% men). The neutrophil count and neutrophil to lymphocyte ratio (NLR) were independently associated with the 4 endpoints: sICH (adjusted odds ratio [adjOR] for an increase of 1,000 neutrophils = 1.21 and adjOR 1.11, respectively), death (adjOR 1.16 and adjOR 1.08), and excellent (adjOR 0.87 and adjOR 0.85) and good (adjOR 0.86 and adjOR 0.91) outcomes. The total leukocyte count was not associated with any of the 4 endpoints. The best discriminating factor for sICH was NLR ≥4.80 (sensitivity 66.7%, specificity 71.3%, likelihood ratio 2.32). Patients with NLR ≥4.80 had a 3.71-fold increased risk for sICH (95% confidence interval adjOR: 1.97–6.98) compared to patients with NLR <4.80. Conclusions: Higher neutrophil counts and NLR are independently associated with sICH and worse outcome at 3 months. The identification of mediators of this effect could provide new targets for neuroprotection in patients treated by rtPA.
The medicinal fungus Antrodia cinnamomea regulates Dna repair and enhances the radiosensitivity of human esophageal cancer cells

: This study investigated the adjunctive effects of Antrodia cinnamomea mycelial fermentation broth ( AC -MFB), a Taiwanese medicinal fungus, in enhancing the radiosensitivity of esophageal cancer cells. Human CE81T/VGH squamous and BE3 adenocarcinoma esophageal cancer cells were used in this study. A colony formation assay showed that pretreatment with AC -MFB decreased the survival of irradiated esophageal cancer cells, with a maximum sensitizer enhancement ratio of 1.91% and 37% survival. A DNA histogram study showed that AC -MFB pretreatment enhanced cell cycle arrest at the G2/M phase, the most radiosensitive phase. An immunofluorescence assay and a Western blotting assay showed that AC -MFB delayed the abrogation of γ -H2AX, upregulated p21 expression, and attenuated the radiation-induced phosphorylation of ataxia telangiectasia-mutated kinase and checkpoint kinase 2. An in vivo validation study showed that AC -MFB treatment tended to have a synergistic effect with radiation on the tumor growth delay of CE81T/VGH cells in BALB/c mice. These data suggest that this edible fungus product could enhance the effect of radiotherapy against esophageal cancer.
Stainless steel crown versus bulkfill composites for the restoration of primary molars post-pulpectomy: 1-year survival and acceptance results of a Randomized Clinical Trial.

AIM Evaluate the 1-year endodontic treatment survival of primary molars restored with stainless steel crowns (SSC) and bulk fill composite resin (BF). As a secondary outcome, the acceptance of both children and parents were evaluated. DESIGN Ninety-one 3-to-8-year-old children with at least one primary molar requiring endodontic treatment were selected. Participants were randomized to SSC or BF, and evaluated after 1, 3, 6 and 12 months. An acceptance questionnaire was completed immediately after the treatment. The primary outcome was the endodontic treatment survival, evaluated in the intention-to-treat (ITT) population using Kaplan-Meier and non-inferiority Cox regression analysis, with a non-inferiority limit of 15%. Sensitivity analysis between the success rates after 1 year was performed using Miettinen-Nurminen's method. Mann-Whitney test were used to compare the treatment acceptance (α = 5%). RESULTS The survival rate after 1 year was BF=75% and SSC=88% (HR=1.41; 90%CI 0.57-3.43). ITT analysis showed a success rate of BF=86.7% and SSC=82.6% (RR=0.95; 0.78-1.16). The non-inferiority hypothesis between the treatment's survival could not be proved in both analysis (p>0.05). The overall acceptance scores did not differ between the restorative groups (p>0.05). CONCLUSION This study failed in showing a non-inferiority of BF compared to the SSC. The materials were well accepted by both children and their parents.
Collaborative Care for Patients With Severe Personality Disorders: Preliminary Results and Active Ingredients From a Pilot Study (Part I).

PURPOSE To test if a collaborative care program (CCP) with nurses in a coordinating position is beneficial for patients with severe personality disorders. DESIGN AND METHODS A pilot study with a comparative multiple case study design using mixed methods investigating active ingredients and preliminary results. FINDINGS Most patients, their informal caregivers, and nurses value (parts of) the CCP positively; preliminary results show a significant decrease in severity of borderline symptoms. PRACTICE IMPLICATIONS With the CCP, we may expand the supply of available treatments for patients with (severe) personality disorders, but a larger randomized controlled trial is warranted to confirm our preliminary results.
Statistical evaluation of outdoor-to-indoor office MIMO measurements at 5.2 GHz

In this paper, we present a statistical evaluation of an outdoor-to-indoor multiple-input multiple-output (MIMO) measurement campaign performed at 5.2 GHz. 159 measurement locations in an office building are analyzed. Our analysis pays special attention to two key assumptions that are widely used in stochastic channel models. An assumption that is used in practically every channel model is that the channel can be represented as a sum of a line-of-sight (LOS) component plus a (possibly correlated) zero-mean complex Gaussian distribution. Our investigation shows that this model does NOT adequately represent our measurement data. Our analysis also highlights the difference between the LOS power factor and the Rician K-factor. We show that the direction-of-arrival (DOA) spectrum depends noticeably on the direction-of-departure (DOD). Therefore, the popular Kronecker model is not applicable, and the more general Weichselberger model should be used.
Impact of Trade with ASEAN on India’s Employment in Industrial Sector

In recent time, India‘s growing trade deficits with its partner countries have been a major policy concern, making Indian policymakers cautious about signing new free trade deals. In this paper, we argue that in addition to the impact of trade agreements on India‘s trade balance, policy discussions on trade agreements should also take into account the impact of trade on a spectrum of other economic indicators, such as economic growth, income distribution and employment. In particular, the impact on employment is central to assess whether or not greater trade integration is helping or harming the country, since employment numbers capture both growth and distributional aspect of trade. This paper sheds light on this aspect by examining the impact of Association of South East Asian Nations (ASEAN)- India Free Trade Agreement (AIFTA) on industry-level employment in India during the period of 1996-97 to 2016-17. We use a dynamic econometric model in a panel framework and find that while export and import have had favorable impact on industrial sector employment prior to 2004-05, AIFTA led to decline in industrial sector employment post 2004-05.
ACCEPTED AUTHOR VERSION OF THE MANUSCRIPT: Innovative oral sucrosomial ferric pyrophosphate-based supplementation rescues suckling piglets from iron deficiency anemia similarly to commonly used parenteral therapy with iron dextran DOI: 10.2478/aoas-2020-0084

Innovative oral sucrosomial ferric pyrophosphate-based supplementation rescues suckling piglets from iron deficiency anemia similarly to commonly used parenteral therapy with iron dextran DOI: 10.2478/aoas-2020-0084 Mateusz Szudzik, Rafał Mazgaj, Paweł Lipiński, Robert Staroń, Aneta Jończy, Marek Pieszka, Małgorzata Lenartowicz, Aleksandra Bednarz, Marian Kamyczek, Coby Laarakkers, Dorine Swinkels, Rafał R. Starzyński Institute of Genetics and Animal Breeding PAS, Department of Molecular Biology, Jastrzębiec, Poland Department of Animal Nutrition & Feed Science, National Research Institute of Animal Production, Kraków, Poland Pig Hybridization Centre, National Research Institute of Animal Production, Pawłowice, Poland Department of Genetics and Evolution, Institute of Zoology, Jagiellonian University, Kraków, Poland Department of Laboratory Medicine (TLM 830), Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands Hepcidinanalysis.com. , Nijmegen, The Netherlands ♦Corresponding authors: rafal.r. starzynski@gmail.com; p.lipinski@ighz.pl
On the use of the bayesian approach for the calibration, evaluation and comparison of process-based forest models

Forest ecosystems have been experiencing fast and abrupt changes in the environmental conditions, that can increase their vulnerability to extreme events such as drought, heat waves, storms, fire. Process-based models can draw inferences about future environmental dynamics, but the reliability and robustness of vegetation models are conditional on their structure and their parametrisation. The main objective of the PhD was to implement and apply modern computational techniques, mainly based on Bayesian statistics, in the context of forest modelling. A variety of case studies was presented, spanning from growth predictions models to soil respiration models and process-based models. The great potential of the Bayesian method for reducing uncertainty in parameters and outputs and model evaluation was shown. Furthermore, a new methodology based on a combination of a Bayesian framework and a global sensitivity analysis was developed, with the aim of identifying strengths and weaknesses of process-based models and to test modifications in model structure. Finally, part of the PhD research focused on reducing the computational load to take full advantage of Bayesian statistics. It was shown how parameter screening impacts model performances and a new methodology for parameter screening, based on canonical correlation analysis, was presented. Key-words: process-based models, Bayesian statistics,carbon and water cycles, uncertainty analysis, global sensitivity analysis.
Nanotechnology based terahertz imaging for cancer diaganosis

As in all the emerging imaging modalities, THz presents some drawbacks that do not allow it to find its place in every day medical use. These limitations cover a wide range from the low-performance of emitting sources to the low sensitivity or selectivity to pathological tissues. Nanotechnology-based techniques seems to be a crucial key tool in their efforts to improve these imaging modalities. The next sections aim to discuss how current nanotechnology techniques can directly enhance THz medical imaging modalities. It will be demonstrated that nanotechnology can support THz imaging through several concepts, from using nanoparticles as contrast agents to the development of new THz sources and/or detectors. Nanotechnology methods are used in all the components of THz imaging: contrast agents, sources and detectors (CNT: Carbon Nanotubes, QDs: Quantum Dots, NPs: Nanoparticles, NRs: nanorods, NGs: nanocages, WCNTs: multi-walled CNTs).
and Practice.

psychologist, emphasizes the heightening of conscious awareness accompanied by the alienation from emotion and instinct associated with schizophrenia. This he calls ' hyperreflexivity' and relates it to the 'dissociation of sensitivity' that T. S. Eliot regarded as characterizing the work of several key artists, writers and thinkers of the twentieth century. His method of exposition is dominantly phenomenological; the major psychological symptoms are presented in turn and discussed with reference to individual patient's experience, the views of psychiatric and psychoanalytical commentators and, most extensively, relevant material culled from the literary and visual arts and from philosophy. What is the point of such a study? While insisting at first that he is seeking no more than clarification by means of analogy, the author provides an epilogue linking schizophrenia more closely with modern culture and then supports his arguments with a critique of neurobiological reductionism. More than 150 pages of detailed notes indicate the breadth and depth of his background reading, but the notion of an Age of Schizophrenia emerges as not much more than a suggestive intellectual conceit, in the same category as its predecessor, The Age of Anxiety.
Numerical simulation of thermal pollution zones’ formations in the water environment from the activities of the power plant

ABSTRACT In this paper, obtained numerical results of the thermal pollution from the operation of a power plant are presented when using the Irtysh River as a natural water cooling system. A two-dimensional formulation by using the “shallow water” approximation is often used as a numerical solution of such problems. For two-dimensional numerical modeling, it is possible to determine the floating flow together with its characteristics of mixing heated water discharge from lateral projections to transverse flow. Furthermore, data from the experiment and numerical values of other authors were used in order to check the conformity of the computational results. The obtained numerical values gave good agreement comparing with data from the experiment, specially the jets trajectory, the recirculation zones size and the dimensionless excess temperature distribution. The obtained data as a result of numerical simulation can be used to study problems associated with the mixing of heated water discharged from the lateral direction into the transverse flow. Also these studies were conducted to study thermal contamination under different scenarios, the impact of heated water discharge from a power plant in the Irtysh River, and the areas of thermal pollution for different velocity scenarios were determined.