Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced power calculator for droop control in single-phase systems

Droop control is a common method to parallel operation of inverters. This method uses the average values of power components which are usually obtained through low-pass filters. However, in single-phase systems the power components are oscillating at twice fundamental frequency and the filters cut-off frequency must be very low. Thus, there is a tradeoff between dynamic response and oscillation attenuation. In this paper, a method that uses a fictitious quadrature reference frame to calculate the average power components is presented. This method improves the dynamic response of the power sharing control and eliminates the double-frequency oscillation over the voltage and frequency synthesized by the inverter. Moreover, it is able to deal with nonlinear loads since the harmonic components that appear in the instantaneous power are filtered. This paper also presents a comparison between this method and the classical one through simulation carried out in Matlab/Simulink and experimental results.
The Development and Psychometric Investigation of the Cyberbullying Scale

Accurate assessment of cyberbullying is essential for intervention planning and evaluation. Limitations to many currently available self-report measures of cyberbullying victimization include a lack of psychometric information and a limited scope (i.e., not assessing multiple electronic mediums of cybervictimization). To address these limitations, we developed and investigated the psychometric properties of a broad self-report measure of cyberbullying, the Cyberbullying Scale (CBS). We examined the factor structure and reliability of the CBS across 736 students in Grades 6 to 12 in six Northern Mississippi schools. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) results indicated that the structure of the CBS was best represented by a one-factor model. The finding of a single-factor structure suggests that cyberbullying is a unidimensional construct, which is consistent with previous research. In the current sample, the CBS demonstrated strong psychometric properties, including excellent internal consistency (Cronbach’s α = .94) and significant positive correlations with related constructs of anxiety, depression, and loneliness. Results from the present study provide initial support for the CBS as a measure of cybervictimization among adolescents.
DEL-sequents for progression

Dynamic Epistemic Logic (DEL) deals with the representation and the study in a multi-agent setting of knowledge and belief change. It can express in a uniform way epistemic statements about: 1. what is true about an initial situation 2. what is true about an event occurring in this situation 3. what is true about the resulting situation after the event has occurred. We axiomatize within the DEL framework what we can infer about (iii) given (i) and (ii). Given three formulas φ,φ' and φ" describing respectively (i), (ii) and (iii), we also show how to build a formula φ × φ' which captures all the information which can be inferred about (iii) from φ and φ'. We show how our results extend to other modal logics than K. In our proofs and definitions, we resort to a large extent to the normal form formulas for modal logic originally introduced by Kit Fine. In a companion paper (Aucher, 2012), we axiomatize what we can infer about (ii) given (i) and (iii), and what we can infer about (i) given (ii) and (iii), and show how to build two formulas φ ⦸ φ" and φ' ⊘ φ" which capture respectively all the information which can be inferred about (ii) from φ and φ", and all the information which can be inferred about (i) from φ' and φ".
Hexahedral meshing of subject-specific anatomic structures using mapped building blocks

To extend the use of computational techniques like finite element analysis to clinical settings, it would be beneficial to have the ability to generate a unique model for every subject quickly and efficiently. This work is an extension of two previously developed mapped meshing tools that utilised force and displacement control to map a template mesh to a subject-specific surface. The objective of this study was to map a template block structure, common to multiblock meshing techniques, to a subject-specific surface. The rationale is that the blocks are considerably less refined and may be readily edited after mapping, thereby yielding a mesh of high quality in less time than mapping the mesh itself. In this paper, the versatility and robustness of the method was verified by processing four data-sets. The method was found to be robust enough to cope with the variability of bony surface size, spatial position and geometry, producing building block structures (BBSs) that generated meshes comparable to those produced using BBSs that were created manually.
Selective Toxicity by HDAC3 in Neurons: Regulation by Akt and GSK3β

Although it is well established that pharmacological inhibitors of classical histone deacetylases (HDACs) are protective in various in vivo models of neurodegenerative disease, the identity of the neurotoxic HDAC(s) that these inhibitors target to exert their protective effects has not been resolved. We find that HDAC3 is a protein with strong neurotoxic activity. Forced expression of HDAC3 induces death of otherwise healthy rat cerebellar granule neurons, whereas shRNA-mediated suppression of its expression protects against low-potassium-induced neuronal death. Forced expression of HDAC3 also promotes the death of rat cortical neurons and hippocampally derived HT22 cells, but has no effect on the viability of primary kidney fibroblasts or the HEK293 and HeLa cell lines. This suggests that the toxic effect of HDAC3 is cell selective and that neurons are sensitive to it. Neurotoxicity by HDAC3 is inhibited by treatment with IGF-1 as well as by the expression of a constitutively active form of Akt, an essential mediator of IGF-1 signaling. Protection against HDAC3-induced neurotoxicity is also achieved by the inhibition of GSK3β, a kinase inhibited by Akt that is widely implicated in the promotion of neurodegeneration in experimental models and in human pathologies. HDAC3 is directly phosphorylated by GSK3β, suggesting that the neuronal death-promoting action of GSK3β could be mediated through HDAC3 phosphorylation. In addition to demonstrating that HDAC3 has neurotoxic effects, our study identifies it as a downstream target of GSK3β.
Psychometric evaluation of the Arabic language person‐centred climate questionnaire—staff version

AIM To evaluate the psychometric properties of the Arabic language person-centred climate questionnaire-staff version. BACKGROUND There have been increasing calls for a person-centred rather than a disease-centred approach to health care. A limited number of tools measure the extent to which care is delivered in a person-centred manner, and none of these tools have been validated for us in Arab settings. METHOD The validated form of the person-centred climate questionnaire-staff version was translated into Arabic and distributed to 152 health care staff in teaching and non-teaching hospitals in Saudi Arabia. Statistical estimates of validity and reliability were used for psychometric evaluation. RESULTS Items on the Arabic form of the person-centred climate questionnaire-staff version had high reliability (Cronbach's alpha .98). Cronbach's alpha values for the three sub-scales (safety, everydayness and community), were . 96, . 97 and . 95 respectively. Internal consistency was also high and measures of validity were very good. CONCLUSION Arabic form of the person-centred climate questionnaire-staff version provides a valid and reliable way to measure the degree of perceived person-centredness. IMPLICATIONS FOR NURSING MANAGEMENT The tool can be used for comparing levels of person-centredness between wards, units, and public and private hospitals. The tool can also be used to measure the extent of person-centredness in health care settings in other Arab countries.
Perioperative FOLFOX 4 chemotherapy and surgery versus surgery alone for resectable liver metastases from colorectal cancer ( EORTC 40983 ) : long-term results of a randomised , controlled , phase 3 trial

Bernard Nordlinger, Halfdan Sorbye, Bengt Glimelius, Graeme J Poston, Peter M Schlag, Philippe Rougier, Wolf O Bechstein, John N Primrose, Euan T Walpole, Meg Finch-Jones, Daniel Jaeck, Darius Mirza, Rowan W Parks, Murielle Mauer, Erik Tanis, Eric Van Cutsem, Werner Scheithauer, Thomas Gruenberger, for the EORTC Gastro-Intestinal Tract Cancer Group, Cancer Research UK, Arbeitsgruppe Lebermetastasen und–tumoren in der Chirurgischen Arbeitsgemeinschaft Onkologie (ALM-CAO), Australasian Gastro-Intestinal Trials Group ( AGITG), and Fédération Francophone de Cancérologie Digestive (FFCD)
UTRdb and UTRsite: specialized databases of sequences and functional elements of 5' and 3' untranslated regions of eukaryotic mRNAs

The 5' and 3' untranslated regions of eukaryotic mRNAs may play a crucial role in the regulation of gene expression controlling mRNA localization, stability and translational efficiency. For this reason we developed UTRdb, a specialized database of 5' and 3' untranslated sequences of eukaryotic mRNAs cleaned from redundancy. UTRdb entries are enriched with specialized information not present in the primary databases including the presence of nucleotide sequence patterns already demonstrated by experimental analysis to have some functional role. All these patterns have been collected in the UTRsite database so that it is possible to search any input sequence for the presence of annotated functional motifs. Furthermore, UTRdb entries have been annotated for the presence of repetitive elements. All internet resources implemented for retrieval and functional analysis of 5' and 3' untranslated regions of eukaryotic mRNAs are accessible at http://bigarea.area. ba.cnr. it:8000/EmbIT/UTRH ome/
The General Transcription Factor TAF7 Is Essential for Embryonic Development but Not Essential for the Survival or Differentiation of Mature T Cells

ABSTRACT TAF7, a component of the TFIID complex that nucleates the assembly of transcription preinitiation complexes, also independently interacts with and regulates the enzymatic activities of other transcription factors, including P-TEFb, TFIIH, and CIITA, ensuring an orderly progression in transcription initiation. Since not all TAFs are required in terminally differentiated cells, we examined the essentiality of TAF7 in cells at different developmental stages in vivo. Germ line disruption of the TAF7 gene is embryonic lethal between 3.5 and 5.5 days postcoitus. Mouse embryonic fibroblasts with TAF7 deleted cease transcription globally and stop proliferating. In contrast, whereas TAF7 is essential for the differentiation and proliferation of immature thymocytes, it is not required for subsequent, proliferation-independent differentiation of lineage committed thymocytes or for their egress into the periphery. TAF7 deletion in peripheral CD4 T cells affects only a small number of transcripts. However, T cells with TAF7 deleted are not able to undergo activation and expansion in response to antigenic stimuli. These findings suggest that TAF7 is essential for proliferation but not for proliferation-independent differentiation.
Image recognition of juvenile colonies of pathogenic microorganisms in the culture based microbiological method implemented in bioMEMS device for express species identification

In this paper an image recognition method for microbiological analysis of species is described. This method is developed for use in bioMEMS hybrid laboratory-on-a-chip for total microbiological analysis and is aimed at recognition of colonies of microorganisms for express species identification and sorting. The described approach is based on the Histograms of Oriented Gradients (HOG) method, developed earlier. A principle of this technique is the computation of intensity gradients directions in local areas of image and determination of objects affinity using special classifier. The method is widely used for people identification, where it proved to be very efficient. In microbiology it appeared to be not as successful, because images of single microorganisms and their colonies are too similar. Here an advanced version of HOG is presented, which enabled a number of microbiological species to be identified. The method comprises the following stages: 1) Initial image acquisition; 2) Search and retrieval of the colony; 3) Simplification of the image, transition to local gradients of the grey; 4) Processing with threshold noise filter; 5) Fourier-transform of local gradients of the grey; 6) Formation of classifier by teaching the expert system by comparison with reference images. The described method is applied for recognizing colonies at earlier stages of growth (juvenile colonies) incorporating about 1000 cells. A sample of investigated microorganisms comprised 18 species from 8 different genera.
HYBRID ALGORITHMS FOR THE CONSTRAINT SATISFACTION PROBLEM

It might be said that there are five basic tree search algorithms for the constraint satisfaction problem (csp), namely, naive backtracking (BT), backjumping (BJ), conflict‐directed backjumping (CBJ), backmarking (BM), and forward checking (FC). In broad terms, BT, BJ, and CBJ describe different styles of backward move (backtracking), whereas BT, BM, and FC describe different styles of forward move (labeling of variables). This paper presents an approach that allows base algorithms to be combined, giving us new hybrids. The base algorithms are described explicitly, in terms of a forward move and a backward move. It is then shown that the forward move of one algorithm may be combined with the backward move of another, giving a new hybrid. In total, four hybrids are presented: backmarking with backjumping (BMJ), backmarking with conflict‐directed backjumping (BM‐CBJ), forward checking with backjumping (FC‐BJ), and forward checking with conflict‐directed backjumping (FC‐CBJ). The performances of the nine algorithms (BT, BJ, CBJ, BM, BMJ, BM‐CBJ, FC, FC‐BJ, FC‐CBJ) are compared empirically, using 450 instances of the ZEBRA problem, and it is shown that FC‐CBJ is by far the best of the algorithms examined.
Accumulation and elimination of lanthanum by duckweed (Lemna minor L.) As influenced by organism growth and lanthanum sorption to glass

Lanthanide emissions to the environment increase as a result of the growing industrial applications of these elements. However, robust data to evaluate the environmental fate of lanthanides are scarce. This article describes the accumulation and elimination of lanthanum (La) by common duckweed (Lemna minor L.). Speciation modeling was performed to assure that solubility products were not exceeded. It also showed that La was predominantly associated with ethylenediaminetetraacetic acid (EDTA). Lanthanum concentrations in plants and medium and the amounts sorbed to glass vessels were quantified by using the radioisotope 140La. The amount of La adsorbed on the glass reached values of 25% of the total La present. A model was formulated to describe La uptake in exponentially growing duckweed in the presence of an adsorptive surface. Growth‐induced dilution appeared more efficient in lowering plant La concentrations than actual elimination. An elimination study revealed two compartments, of which the smallest eliminated 50 times faster than the bigger compartment, which eliminated mainly by growth dilution. The average bioconcentration factor was 2,000 L/kg fresh weight and 30,000 L/kg dry weight, comparable with those of other higher plants. At the applied concentration of 10 nM, no effects were observed on duckweed growth. However, the high bioconcentration factor warrants monitoring of lanthanide emissions.
Remission criteria and functional outcome in patients with schizophrenia, a longitudinal study

Background: The Remission in Schizophrenia Working Group (RSWG) has proposed remission criteria for schizophrenia, which were shown to be valid in terms of functional and clinical outcomes. However, studies investigating the association between dynamics in remission status in relation to longitudinal functional and clinical outcome are scarce. Methods: A total of 648 patients were allocated to four change-in-remission groups, i.e. remission/remission, remission/no-remission, no-remission/remission, and no-remission/no-remission. Remission status was based on PANSS ratings. Multilevel linear modelling techniques were used to investigate whether enduring remission was associated with more improvement in functional outcome at follow-up. Further, change in functional and clinical outcome at follow-up measurement was assessed for each remission category separately. Results: Both at baseline and at follow-up, remission status was associated with better functioning. At baseline, patients who subsequently moved out of remission status could be characterized by more severe psychopathology, disabilities, unmet needs and worse quality of life (QoL) compared with patients who continued to be in remission. The stable in-remission group was characterized by significantly better functioning and QoL, both at baseline and follow-up compared with all other remission groups. Nevertheless, QoL increased in all four patient categories. Conclusions: In a large sample of patients with a non-affective psychotic disorder, stable remission or moving into remission over time, based on the RSWG criteria, was associated with a favourable functional outcome and QoL, providing further support for the clinical validity of the RSWG remission criteria. The findings also suggest growing adaptation and self-management over time, despite ongoing difficulties.
Stimulation of macrophages by retinal proteins: production of reactive nitrogen and oxygen metabolites.

PURPOSE In previous work, it has been shown that in experimental autoimmune uveitis, the peroxynitrite-mediated protein nitration product nitrotyrosine was localized in the degenerating photoreceptors. Subsequently, phagocyte-generated inducible nitric oxide synthase (iNOS) was also found to localize, primarily in the outer retina and to a lesser extent in the anterior segments. This study was intended to determine whether retinal soluble proteins such as S-antigen and interphotoreceptor retinoid-binding protein (IRBP) play a role in the induction of *NO and superoxide by a macrophage cell line and by rat and rabbit peritoneal macrophages. METHODS Cells from the murine macrophage cell line RAW 264.7 and rat and rabbit peritoneal macrophages were incubated in the presence of retinal soluble proteins. The nitrite level in the cultured supernatant was evaluated for *NO production using the Griess reaction. Activation of nuclear transcription factor kappaB (NF-kappaB) was determined by electrophoretic mobility shift assay. Superoxide production was measured by superoxide dismutase-inhibitable reduction of cytochrome C. RESULTS Both S-antigen and IRBP induced significant, dose-dependent nitrite production in RAW 264.7 and rat peritoneal macrophages. Induction of iNOS by retinal proteins was inhibited by the iNOS-specific inhibitor aminoguanidine and the tyrosine kinase inhibitor genistein. This iNOS induction was accompanied by the activation of NF-kappaB. S-antigen also induced superoxide production in rabbit peritoneal macrophages, but not in RAW 264.7. CONCLUSIONS These results show that soluble retinal proteins significantly induce *NO and superoxide production by macrophages. Increased production of reactive oxygen species by macrophages in the presence of these soluble retinal proteins in vivo may accelerate photoreceptor degeneration in uveitis.
Indoor ultrasonic positioning system of mobile robot based on TDOA ranging and improved trilateral algorithm

Positioning is the base of automatic movement for an indoor mobile robot. To realize its accurate positioning and real-time visualization, an indoor ultrasonic positioning system is proposed with 1 unknown node and 4 beacon nodes. The transmitting module is fixed on the mobile robot as the unknown node and represents where the mobile robot is. 4 receiving modules are fixed on the ceiling as beacon nodes. Ultrasonic and radio-frequency (RF) signals are used to achieve time difference of arrival (TDOA) ranging. After the distance values from the unknown node to fixed nodes are obtained, improved trilateral algorithm is applied to get the coordinates of the unknown node. The transmitting control module, the receiving control module and personal computer (PC) realize real-time wireless communication via RF signals. The position of the mobile robot is displayed visually on the Processing program and will be updated in every half second. Experimental results show that the corrected accuracy of the positioning system reaches 1 cm and the system is of good stability.
Immunosuppression by CD4+ regulatory T cells induced by chronic retroviral infection

Normal levels of CD4+ regulatory T cells are critical for the maintenance of immunological homeostasis and the prevention of autoimmune diseases. However, we now show that the expansion of CD4+ regulatory T cells in response to a chronic viral infection can lead to immunosuppression. Mice persistently infected with Friend retrovirus develop approximately twice the normal percentage of splenic CD4+ regulatory T cells and lose their ability to reject certain tumor transplants. The role of CD4+ regulatory T cells was demonstrated by the transmission of immunosuppression to uninfected mice by adoptive transfers of CD4+ T cells. CD4+ T cells from chronically infected mice were also immunosuppressive in vitro, inhibiting the generation of cytolytic T lymphocytes in mixed lymphocyte cultures. Inhibition occurred at the level of blast-cell formation through a mechanism or mechanisms involving transforming growth factor-β and the cell surface molecule CTLA-4 (CD152). These results suggest a possible explanation for HIV- and human T cell leukemia virus-I-induced immunosuppression in the absence of T cell depletion.
A survey on computational methods for enhancer and enhancer target predictions

Enhancers are important cis-regulatory elements that play critical roles in a wide range of cellular processes by enhancing expression of target genes through promoter-enhancer loops. There are many interesting biological questions about enhancers, including their evolution and the relationships between their dysregulation and genetic diseases. The recent developments of experimental methods such as high-throughput reporter assays and ChIA-PET have enabled large-scale identification of enhancers and their targets. However, the current lists of identified enhancers and enhancer targets remain incomplete and unreliable due to the high noise level or low resolution of these methods. As a result, computational methods have emerged as an alternative for predicting the genomic locations of enhancers and their target genes. These methods have used a variety of features for predicting enhancers, including sequence motifs and epigenomic modifications. Potential enhancer targets have been predicted using activity correlations, distance constraints, and other features. Both prediction tasks are non-trivial due to cell-type specificity of enhancer activities, lack of definite orientation and distance of an enhancer from its target genes, insufficient known examples for training computational models, and other complexities. In this survey, we discuss the current computational methods for these two prediction tasks and analyze their pros and cons. We also point out obstacles of computational prediction of enhancers and enhancer targets in general, and suggest future research directions.