Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of network reconfiguration in loss reduction in power generation and supply system

The main goal of this research work is to investigate the role of network reconfiguration to minimize real and reactive power loss in power system. As a consequence of high growth of population and industry, power system is subjected to be operated under stressed conditions. Basically active power loss is totally wasted in transmission lines and it is not economically feasible. Moreover, reactive power loss is the main cause of voltage instability. Therefore, active and reactive power loss optimization is essential in voltage stability which ensures economic and reliable operation of power system. In this study the IEEE 30 bus test system is utilized to determine total power losses. The voltage profile of each buses before and after reconfiguration is also examined here. The voltage profile and total power loss minimization shows the effectiveness of network reconfiguration. Newton-Raphson load flow technique in Matlab/Simulink environment is used.
Behavior disorders of childhood and the electroencephalogram.

CURRENT concepts concerning organic behavior disorders in children have arisen from the association of several specific behavioral patterns with antecedent cerebral pathology such as encephalitis and head injury. Termed "organic driveness" by Kahn and Cohen in an early and important paper, this syndrome was characterized by restless overactivity, impulsiveness, abrupt clumsy movements, and explosive release of voluntarily inhibited activity. 1 Although no encephalitic history preceded onset of symptoms in the cases presented by these authors, the behavioral picture so resembled that which followed typical attacks of encephalitis lethargica that the syndrome was considered by them to be the result of a subacute encephalitis affecting brain stem and basal ganglia. Numerous reports have further defined a more or less distinct pattern of behavioral deviations usually including overactivity, easy distractibility and short attention span, unpredictable performance, extreme emotional responses, impulsiveness, perseveration, antisocial behavior, and poor arithmetic ability. 2 4 In
Identification of target genes regulated by FOXC1 using nickel agarose-based chromatin enrichment.

PURPOSE To overcome the problem of antibody availability, often encountered during chromatin immunoprecipitation (ChIP) assays, nickel agarose-based chromatin enrichment (NACE) was developed. Based on the affinity of (His)-6-tagged proteins for the nickel ion, this modified form of ChIP allows the isolation of chromatin in the absence of specific antibodies. METHODS Nonpigmented ciliary epithelium cells were transfected with (His)-6-tagged FOXC1. FOXC1-enriched chromatin complexes were isolated by using the tight electrostatic interaction between histidine residues of the recombinant FOXC1 protein and nickel. One hundred fifty NACE-enriched clones were sequenced and subjected to in silico and biochemical analyses. RESULTS Twenty-six clones were detected near known genes: Eight were near predicted but uncharacterized genes, eight were within areas where neither known nor predicted genes have yet been mapped, four were chimeric, and the rest were either repetitive (n=81) or poor-quality (n=23) sequences. Twenty of the 26 known genes were expressed in the eye. Five of the NACE-enriched clones (BMP2K, DACH, FVT-1, SIX-1, and PGE-2 receptor), as well as nine clones selected from the literature, were validated by PCR amplification in two independent lots of NACE-enriched chromatin. All five NACE-selected genes were detected in two independent assays, as well as four (BMP7, SMAD2, TGF-B1, and WNT6) of the nine genes selected from the literature, consistent with these genes' being regulated by FOXC1. CONCLUSIONS NACE is a useful technique allowing specific chromatin enrichment in cases where antibodies are unavailable. Specific recovery of PTGER, DACH1, WNT6, and FVT-1 implicates FOXC1 in a variety of cellular events including modulation of intraocular pressure, cell cycle, ocular development, and oncogenesis.
Noninvasive prenatal testing for aneuploidy using cell-free DNA – New implications for maternal health

The rapid global uptake of noninvasive prenatal testing for Down syndrome based on maternal plasma cell-free DNA has provided new data on the interrelationship between cell-free DNA and maternal health. Specific maternal conditions that can affect the performance of noninvasive prenatal testing include obesity, active autoimmune disease and low molecular weight heparin treatment. There is also a growing appreciation of the implications of discordant noninvasive prenatal testing results for maternal health, including unexpected diagnoses of maternal chromosomal conditions, or rarely, occult cancer. The interrelatedness of noninvasive prenatal testing and maternal health mean that the longstanding principles underpinning prenatal screening – voluntary testing, informed decision making, availability of specialist genetic counselling and well-defined clinical pathways – are more important than ever before.
CONCEPT FOR CLASSIFYING FACADE ELEMENTS BASED ON MATERIAL, GEOMETRY AND THERMAL RADIATION USING MULTIMODAL UAV REMOTE SENSING

Abstract. This paper presents a concept for classification of facade elements, based on the material and the geometry of the elements in addition to the thermal radiation of the facade with the usage of a multimodal Unmanned Aerial Vehicle (UAV) system. Once the concept is finalized and functional, the workflow can be used for energy demand estimations for buildings by exploiting existing methods for estimation of heat transfer coefficient and the transmitted heat loss. The multimodal system consists of a thermal, a hyperspectral and an optical sensor, which can be operational with a UAV. While dealing with sensors that operate in different spectra and have different technical specifications, such as the radiometric and the geometric resolution, the challenges that are faced are presented. Addressed are the different approaches of data fusion, such as image registration, generation of 3D models by performing image matching and the means for classification based on either the geometry of the object or the pixel values. As a first step towards realizing the concept, the result from a geometric calibration with a designed multimodal calibration pattern is presented.
Psychosocial Predictors of Anxiety in Nursing Home Staff

ABSTRACT Objectives: Although research shows that nursing home staff experience significant levels of stress and burnout, studies analyzing the relationship of psychosocial variables on their feelings of anxiety are scarce. This study aims to analyze the relationship between psychosocial variables and levels of anxiety among staff. Method: Participants were 101 nursing home professionals. In addition to anxiety, socio-demographic variables, depersonalization, burden, relationship with families of the residents, and guilt about the care offered to the residents were assessed. A hierarchical regression analysis was carried out to analyze the contribution of the assessed variables to staff anxiety levels. Results: The obtained model explained 57% of the variance in anxious symptomatology. Guilt about the care offered and poor quality of the relationship with residents’ family were associated with anxiety. Further, working at nursing homes where the staff report higher levels of anxiety symptoms, the presence of depersonalization and burden were also associated with anxiety. Conclusion: The findings suggest that in addition to work-related variables (burden and burnout), problems with family members and guilt about the care offered are relevant variables for understanding staff’s anxious symptomatology. Clinical Implications: Interventions that address issues of guilt about the quality of care, and problematic relationships with family members of residents, may have potential to reduce staff anxiety and promote their well-being.
Safety of living kidney donation: another brick in the wall…and a solid (physiologic) one.

Kidney donation is a meaningful act for the donor, both psychologically and physiologically. As nephrologists, it is our responsibility to give donors the best guarantees that this generous act will be as safe as possible. The short-term risk for morbidity or mortality after kidney donation is very low and inherent to every surgical procedure. Numerous studies have also demonstrated the short-term physiologic consequences of kidney donation in terms of glomerular filtration rate (GFR), namely a rapid compensatory hypertrophy of the remaining kidney. Consequently, in young donors, GFRs soon after unilateral nephrectomy are 60% to 70% of those before donation. The potential major problems with kidney donation are long-term consequences, such as the risk of developing chronic kidney disease (CKD), including end-stage renal disease (ESRD). Epidemiologic data have recently revived the debate about the safety of kidney donation by showing an increased relative risk of ESRD in kidney donors compared with matched controls. However, this must be interpreted in light of the quite small absolute risk. Moreover, these studies, even those including controls, are retrospective and have been criticized. Thus, these worrisome reports are not yet sufficient to dampen living kidney donation programs, a fact acknowledged by their authors. However, doubt exists, and so the study by Kasiske et al in this issue of AJKD is an important one. The authors show physiologic data from living kidney donors over 3 years of follow-up; hence, unlike most prior data, the new study is more physiologic than epidemiologic. The study has 3 main methodological strengths. First, the design was prospective and controlled (with donors paired to controls), whereas most other studies were either retrospective and/or without appropriate controls. Second, blood pressure changes postdonation were assessed by the gold standard of ambulatory blood pressure monitoring. Third, and of prime interest, the authors measured GFR, by plasma iohexol clearance. Equations for calculating estimated GFR (eGFR) have limitations and the precision (at the individual level) of any equation is probably not sufficient, especially at high GFRs. Also, the ability of eGFR to evaluate the measured GFR (mGFR) slope over time remains questionable, particularly at high GFRs. More generally, we still believe that mGFR has
Patient perceptions of a Virtual Health Room installation in rural Sweden.

INTRODUCTION The Virtual Health Room (VHR) is an ehealth initiative in the village of Slussfors in northern Sweden. Construction of VHRs in other locations is taking place, and the Centre for Rural Medicine in the Västerbotten County Council primary care department has implemented a VHR evaluation framework. This research focuses on evaluation of patient perceptions of the usability of the VHR and its contribution to their health care. METHODS Nineteen of the 25 unique users of the VHR during 2014/15 completed a survey asking about their attitudes to their own health (using the 13-question version of the Patient Activation Measure (PAM)), their demographic attributes, and their satisfaction with their visit to the VHR. RESULTS Respondents with lower PAM scores were less satisfied with the technical performance of the VHR, but equally likely to think the VHR made a good contribution to access to health care. In contrast, older patients were less likely to value the contribution of the VHR, but no less likely to be satisfied with its technical performance. There were no relationships between level of education and distance travelled and perceptions of the VHR. CONCLUSIONS The research clearly demonstrated the distinction between technical performance of an ehealth initiative and its overall contribution to health care and access. Evaluation frameworks need to consider both aspects of performance. Transferability of these findings to other settings may depend at least in part on the nature of the catchment area for the VHR, with the Slussfors catchment being quite small and the impact of distance on access consequently limited.
Probabilistic classification of HMM states for large vocabulary continuous speech recognition

In state-of-art large vocabulary continuous speech recognition (LVCSR) systems, HMM state-tying is often used to achieve good balance between the model resolution and robustness. In this paradigm, tied HMM states share a single set of parameters and are nondistinguishable. To capture the fine differences among tied HMM states, a probabilistic classification of HMM states (PCHMM) is proposed in this paper for LVCSR. In particular, a distribution from a HMM state to classes is introduced. It is shown that the state-to-class distribution can be estimated together with conventional HMM parameters within the EM (Dempster et al., 1977) framework. Compared with HMM state-tying, probabilistic classification of HMM states makes more efficient use of model parameters. It also makes the acoustic model more robust against the possible mismatch or variation between training and test data. The viability of this approach is verified by the significant reduction of word error rate (WER) on the Switchboard (Godfrey et al., 1992) task.
Bootstrap Intervals of the Parameters of Lognormal Distribution Using Power Rule Model and Accelerated Life Tests

Assumed that the distribution of the lifetime of any unit follows a lognormal distribution with parameters μ andσ . Also, assume that the relationship between μ and the stress level V is given by the power rule model. Several types of bootstrap intervals of the parameters were studied and their performance was studied using simulations and compared in term of attainment of the nominal confidence level, symmetry of lower and upper error rates and the expected width. Conclusions and recommendations are given.
Lexical Resources to Enrich English Malayalam Machine Translation

In this paper we present our work on the usage of lexical resources for the Machine Translation English and Malayalam. We describe a comparative performance between different Statistical Machine Translation (SMT) systems on top of phrase based SMT system as baseline. We explore different ways of utilizing lexical resources to improve the quality of English Malayalam statistical machine translation. In order to enrich the training corpus we have augmented the lexical resources in two ways (a) additional vocabulary and (b) inflected verbal forms. Lexical resources include IndoWordnet semantic relation set, lexical words and verb phrases etc. We have described case studies, evaluations and have given detailed error analysis for both Malayalam to English and English to Malayalam machine translation systems. We observed significant improvement in evaluations of translation quality. Lexical resources do help uplift performance when parallel corpora are scanty.
CNR1 gene polymorphisms in addictive disorders: a systematic review and a meta‐analysis

The aim of the present work was to systematically review all association studies of cannabis receptor 1 (CNR1) polymorphisms with dependence syndrome and to perform a meta‐analysis. Odds ratios (ORs) were estimated by contrasting the ratio of counts of the ‘high risk’ versus ‘low risk’ alleles in cases with dependence versus controls. Studies were analyzed by random‐effects meta‐analysis using pooled OR. Eleven full text articles met our eligibility criteria and nine meta‐analyses were performed on three polymorphisms of CNR1: rs1049353, rs806379 and the AAT repeat. Of these, only the AAT polymorphism showed a significant association with illicit substance dependence but only in the Caucasian population samples and using a risk allele definition of ≥ 16 repeats. Our analysis showed a small effect size (OR = 1.55, P = 0.045), with strong heterogeneity (Q = 19.87, P < 0.01 with I2 = 85%). In line with the polygenic model, our meta‐analysis supports a minor implication for CNR1 AAT polymorphism in illicit substance dependence vulnerability. Further studies in well‐phenotyped samples and using more polymorphisms are needed to conclude on the actual influence of cannabinoid receptor polymorphisms.
A coding scheme for additive noise channels with feedback-I: No bandwidth constraint

In some communication problems, it is a good assumption that the channel consists of an additive white Gaussian noise forward link and an essentially noiseless feedback link. In this paper, we study channels where no bandwidth constraint is placed on the transmitted signals. Such channels arise in space communications. It is known that the availability of the feedback link cannot increase the channel capacity of the noisy forward link, but it can considerably reduce the coding effort required to achieve a given level of performance. We present a coding scheme that exploits the feedback to achieve considerable reductions in coding and decoding complexity and delay over what would be needed for comparable performance with the best known (simplex) codes for the one-way channel. Our scheme, which was motivated by the Robbins-Monro stochastic approximation technique, can also be used over channels where the additive noise is not Gaussian but is still independent from instant to instant. An extension of the scheme for channels with limited signal bandwidth is presented in a companion paper (Part II).
An MPI Performance Monitoring Interface for Cell Based Compute Nodes

In this paper, we present a methodology for profiling parallel applications executing on the family of architectures commonly referred as the "Cell" processor. Specifically, we examine Cell-centric MPI programs on hybrid clusters containing multiple Opteron and IBM PowerXCell 8i processors per node such as those used in the petascale Roadrunner system. We analyze the performance of our approach on a PlayStation3 console based on Cell Broadband Engine—the CBE—as well as an IBM BladeCenter QS22 based on PowerXCell 8i. Our implementation incurs less than 0.5% overhead and 0.3 µs per profiler call for a typical molecular dynamics code on the Cell BE while efficiently utilizing the limited local store of the Cell's SPE cores. Our worst-case overhead analysis on the PowerXCell 8i costs 3.2 µs per profiler call while using only two 5 KiB buffers. We demonstrate the use of our profiler on a cluster of hybrid nodes running a suite of scientific applications. Our analyses of inter-SPE communication (across the enti.
Characterization of the gene for the microbody (glycosomal) triosephosphate isomerase of Trypanosoma brucei.

To determine how microbody enzymes enter microbodies, we are studying the genes for glycosomal (microbody) enzymes in Trypanosoma brucei. Here we present our results for triosephosphate isomerase (TIM), which is found exclusively in the glycosome. We found a single TIM gene without introns, having one major polyadenylated transcript of 1500 nucleotides with a long untranslated tail of approximately 600 nucleotides. By a novel method, suitable for low abundance transcripts, we demonstrate that TIM mRNA contains the 35‐nucleotide leader sequence (mini‐exon) also found on several other trypanosome mRNAs. The TIM gene and a DNA segment of at least 6 kbp upstream of the gene are transcribed at an equal rate in isolated nuclei, suggesting that the gene is part of a much larger transcription unit. The predicted protein is of the same size as TIMs from other organisms and shares approximately 50% amino acid homology with other eukaryote TIMs, somewhat less with prokaryote TIMs. Trypanosome TIM is the most basic of all TIMs sequenced thus far. This is, in part, due to the presence of two clusters of positively charged residues in the molecule which may act as a signal for entry into glycosomes.
Relation of concentrations of bacteria and bacterial antigen in cerebrospinal fluid to prognosis in patients with bacterial meningitis.

Previous investigators have shown that patients with meningitis who have relatively large amounts of bacterial antigen in cerebrospinal fluid are more likely to have neurologic sequelae,1 subdural effusions,2 prolonged fever3 , 4 or greater morbidity and mortality5 than patients with lower amounts. Although these workers considered the levels of bacterial antigen related to the concentrations of bacteria, no direct evidence was available since concentrations of bacteria were not measured. Recently, I reported preliminary data showing that antigen levels in cerebrospinal fluid of 15 patients were significantly (P<0.017) related to concentrations of bacteria.6 From these data, I hypothesized that concentrations of bacteria were .
Structural network efficiency predicts conversion to dementia

Objective: To examine whether structural network connectivity at baseline predicts incident all-cause dementia in a prospective hospital-based cohort of elderly participants with MRI evidence of small vessel disease (SVD). Methods: A total of 436 participants from the Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort (RUN DMC), a prospective hospital-based cohort of elderly without dementia with cerebral SVD, were included in 2006. During follow-up (2011–2012), dementia was diagnosed. The structural network was constructed from baseline diffusion tensor imaging followed by deterministic tractography and measures of efficiency using graph theory were calculated. Cox proportional regression analyses were conducted. Results: During 5 years of follow-up, 32 patients developed dementia. MRI markers for SVD were strongly associated with network measures. Patients with dementia showed lower total network strength and global and local efficiency at baseline as compared with the group without dementia. Lower global network efficiency was independently associated with increased risk of incident all-cause dementia (hazard ratio 0.63, 95% confidence interval 0.42–0.96, p = 0.032); in contrast, individual SVD markers including lacunes, white matter hyperintensities volume, and atrophy were not independently associated. Conclusions: These results support a role of network disruption playing a pivotal role in the genesis of dementia in SVD, and suggest network analysis of the connectivity of white matter has potential as a predictive marker in the disease.
Potentially Inappropriate Prescribing Practices in Rural Elder Veterans

The most commonly used approach to measure inappropriate medication use in the elderly is to examine the frequency of specific drugs that should be avoided in this population, as determined by expert consensus opinion. Several independently developed lists of such medications are available. The most widely used are known as the Beers criteria, which were originally published in 1991, with updates in 1997, 2001, and 2003. Using the 2001 Beers criteria, the reported rate of inappropriate prescribing among elderly VA outpatients was 19.7% in fiscal year 2000 and 21.3% in fiscal year 2003.