Miracle-dz/UniFAR-FTUs huggingface dataset:
Children's Perception of Interparental Conflict Scale (CPIC): Factor Structure and Invariance Across Adolescents and Emerging Adults

The Children's Perception of Interparental Conflict Scale (CPIC) is based on the cognitive-contextual framework for understanding interparental conflict. This study investigates the factor validity and the invariance of two factor models of CPIC within a sample of Portuguese adolescents and emerging adults (14 to 25 years old; N = 677). At the subscale level, invariance analyses (configural and metric) showed that the three-factor model with seven subscales operated equivalently across adolescents and emerging adults, although noninvariant intercepts emerged when testing scalar invariance. Confirmatory factor analyses (at the item and subscale level) and follow-up model fit indices supported the theory-based factor structure of the CPIC's original model.
Insight in first-episode psychosis

Background. We report here a study examining the relationships between insight and psychopathology, cognitive performance, brain volume and co-morbid depression in 251 patients experiencing a first episode of psychosis, who were then randomly assigned to 2 years of double-blind treatment with either olanzapine or haloperidol. Method. Repeated measures of insight were obtained at baseline and 12, 24, 52 and 104 weeks by the Insight and Treatment Attitudes Questionnaire (ITAQ). Results. Older age, female gender and white ethnicity were associated with more insight. Higher total, positive, negative and general psychopathology scores on the Positive and Negative Syndromes Scale (PANSS) were associated with less insight. Higher depression scores were associated with more insight. Better neurocognitive function and large brain volumes were associated with more insight. More insight throughout the study was associated with longer time to medication non-adherence. However, baseline insight was not significantly related to the probability of discontinuing the study before 2 years. Insight improved significantly over the course of the study, but the improvement in insight was not significantly different between the two antipsychotic treatment groups. Conclusions. Multiple factors contribute to insight. Patients experiencing a first episode of psychosis who have little insight are at increased risk of discontinuing their medication.
Atmospheric reactive chlorine and bromine at the Great Salt Lake, Utah

The presence of chlorine radical species in the lower troposphere has been postulated, but only indirect evidence of its existence has been reported. We present the first direct spectroscopic observations of up to 15 ± 2 pmoles/mole‐air chlorine oxide (ClO) in the mid‐latitude boundary layer and confirm a previous discovery of the existence of bromine oxide (up to 6 ± 0.4 pmoles/mole‐air BrO). Our observations from October 2000 suggest that reactive halogens are mobilized from salt on the flats around the Great Salt Lake, Utah. The results imply levels of 105 Cl atoms per cm3, which doubles the atmospheric oxidation capacity. Ozone concentrations are anti‐correlated with the halogen oxide levels, particularly BrO, indicating that ozone depletion by catalytic reaction cycles may have occurred. If the mobilization of halogens from salt flats that was observed here is widespread, there are important implications for atmospheric chemistry and the biogeochemical cycling of mercury.
Towards a Design Theory for IS Services Enabling Incentive-based Health Promotion in Organizations

Health information system services (HISS) have the potential to improve well-being of employees which, in turn, leads to a reduction of days of sickness absence and an increase in individual and organizational performance. However, low participation rates indicate a need to better understand incentives that motivate employees not only to join but also to stick to HISS-supported health promotion programs. Two concepts from behavioral choice theory, i.e. reinforcing value and delay discounting, may help improve our understanding in this regard. Thus, we present a very first Version of a design theory for HISS that enable organizations to implement results-based incentives for health promotion programs, denoted as RIHISS. Selected aspects of this design theory are then evaluated by an online study with 249 employees. Results show that RIHISS are accepted for smoking cessation programs. An overview of future work concludes this work-in-progress.
Phosphate Homeostasis and Root Development in Arabidopsis Are Synchronized by the Zinc Finger Transcription Factor ZAT61[W][OA]

Phosphorus availability is limited in many natural ecosystems. Plants adapt to phosphate (Pi) deficiency by complex molecular processes. There is growing evidence suggesting that transcription factors are key components in the regulation of these processes. In this study, we characterized the function of ZAT6 (zinc finger of Arabidopsis 6), a cysteine-2/histidine-2 zinc finger transcription factor that is responsive to Pi stress. ZAT6 is induced during Pi starvation and localizes to the nucleus. While the RNAi suppression of ZAT6 appeared to be lethal, its overexpression affects root development and retards seedling growth as a result of decreased Pi acquisition. The ZAT6 overexpression also resulted in altered root architecture of older plants, with consequent changes in Pi acquisition. These results indicate that ZAT6 regulates root development independent of the Pi status of the plant, thereby influencing Pi acquisition and homeostasis. In addition, the expression of several Pi starvation-responsive genes was decreased in ZAT6 overexpressing plants, thereby confirming the role of ZAT6 in regulating Pi homeostasis. This study thus indicates that ZAT6 is a repressor of primary root growth and regulates Pi homeostasis through the control of root architecture. To our knowledge, ZAT6 is the first cysteine-2/histidine-2 zinc finger transcription factor reported to regulate root development and nutrient stress responses.
Skinfold prediction equation for athletes developed using a four-component model.

INTRODUCTION Skinfold (SKF) equations exist to predict percent body fat (%BF) in athletes; however, none have been derived from multicomponent model reference measures. PURPOSE To develop and cross-validate a %BF prediction equation based on SKF in athletes using a four-component model as the reference measure. METHODS Subjects were 132 collegiate athletes (20.7 +/- 2.0 yr; 78 males: 28 black, 50 white; 54 females: 10 black, 44 white). Four-component model estimates of %BF (%BF4C) included measures of total body water from deuterium dilution, bone mineral by dual- energy x-ray absorptiometry (DXA), and body density by densitometry using underwater weighing. SKF measures included subscapular, triceps, chest, midaxillary, suprailiac, abdominal, and thigh sites (7SKF). A prediction equation was developed on 102 athletes using 7SKF, race, and gender as predictor variables. Cross-validation was performed on a representative holdout sample of 30 athletes. RESULTS The equation cross-validated well (slope and intercept both not different (P > 0.05) from the line of identity (LOI); r(YY') = 0.85, total error (TE) = 3.76%BF) and was better than the existing athlete SKF equations (intercept and slope both different from LOI (P < 0.01); r(YY') = 0.76, TE = 4.51%BF). Notably, a prediction equation developed using 3SKF sites (abdomen, thigh, and triceps) produced a similar accuracy (intercept and slope both not different from LOI (P > 0.05); r(YY') = 0.85, TE = 3.66%BF). CONCLUSIONS The new 7SKF equation improved on SKF equations developed using densitometry. The final equation based on the whole sample was %BF' = 10.566 + 0.12077*(7SKF) - 8.057*(gender) - 2.545*(race). Moreover, a 3SKF equation was comparable in accuracy to the 7SKF equation: BF' = 8.997 + 0.24658*(3SKF) - 6.343*(gender) - 1.998*(race).
Management of cognition and function: new results from the clinical trials programme of Aricept(R) (donepezil HCl).

Ideally, treatment for Alzheimer's disease (AD) should prevent or cure the disease. Unfortunately, these goals appear unobtainable in the foreseeable future. Nevertheless, symptomatic relief is a feasible treatment option for AD patients and is available currently in the form of cholinesterase inhibitors such as tacrine, donepezil, metrifonate and rivastigmine. Donepezil is a second-generation, piperidine-class, selective and reversible acetylcholinesterase inhibitor. Four double-blind, placebo-controlled clinical trials of donepezil, involving over 1900 individuals with mild to moderate AD, have been published recently. In all trials, significant improvements in cognition were observed consistently for both therapeutic doses of donepezil (5 and 10 mg/d), relative to placebo. Similar donepezil-associated benefits were reported for global functioning. In addition, in one 24-wk, multinational clinical trial, patients receiving donepezil (10 mg/d) performed better than placebo-treated patients in their ability to perform complex daily functioning tasks. Donepezil was well tolerated in all trials, with approx. 79% of all donepezil-treated patients completing the studies compared with approx. 84% of placebo-treated patients. The most common adverse events associated with donepezil were generally cholinergic-induced and gastrointestinal in nature (e.g. nausea, diarrhoea, and vomiting) which were generally mild, transient and tended to occur after the dose was increased to 10 mg/d from 5 mg/d after 1 wk only. Sleep disturbances also occurred as the clinical trials utilized a bedtime dosing regimen. There was no evidence of organ toxicity or clinically significant treatment-emergent laboratory test abnormalities. Thus, donepezil appears to be a beneficial symptomatic treatment for patients with mild to moderate AD.
Birth-weight and resting metabolic rate in adulthood — sex-specific differences

Abstract Introduction. Low birth-weight is associated with an increased risk of cardiovascular disease, hypertension, and the metabolic syndrome (MetS) in adulthood. Resting metabolic rate (RMR) has been suggested to be associated with the development of obesity as well as MetS and might be an indirect indicator of sympathetic activity. This study's aim was to examine the association between birth-weight and adult RMR. Methods. A total of 896 men and women from the Helsinki Birth Cohort Study born 1934–44, for whom a detailed set of birth records were available, underwent measurement of body composition and RMR in adulthood. Results. Among women, birth-weight adjusted for age and fat-free mass (FFM) was inversely associated with RMR (r = −0.12; P < 0.01). For men, a u-shaped relationship was observed, both independently and after adjustment for age, fat mass, and FFM (P = 0.05 for final model). Discussion. The sex-specific differences for the association between birth-weight and adult RMR might partly be explained by differences in the developmental programming of the sympathetic nervous system between men and women. The higher adjusted RMR among those with the lowest birth-weights is consistent with previous evidence of higher sympathetic drive among these individuals.
Shape-Based Feature Matching Improves Protein Identification via LC-MS and Tandem MS

The characterization of proteins via liquid chromatography-mass spectrometry (LC-MS) and tandem MS is a challenge due to the large dynamic range and the high complexity of the molecules of interest. In LC-MS experiments, the inconsistent variation in the travel time of analytes in the LC column results in nonlinear shifts in the LC retention time (RT). This variability must be corrected to accurately match corresponding peptide features across samples in LC-MS experiments. Standard methods for RT alignment applied to the raw data are computationally expensive, making it impractical to process a large number of samples. More successful algorithms perform the alignment on features that matched across experiments based on pre-specified mass and RT windows. Features that match across multiple experiments are more likely to be true positives and, therefore, will be more suitable to drive the alignment correction. However, depending on the feature matching algorithm, ambiguities can arise when more than one candidate feature match falls within the specified windows which might affect the alignment performance. In addition, some of the feature-based alignment algorithms do not correct for nonlinear RT shifts. We propose a novel feature matching algorithm that incorporates wavelet-based shape information about the features. We tested our algorithm on two different applications of MS. First, we combined the feature matching algorithm with a robust nonparametric kernel-type regression to form a nonlinear feature-based alignment framework for LC-MS experiments. We validated our alignment framework on LC-MS data from complex samples with known spiked-in proteins, demonstrating our ability to correctly identify each of them with higher reproducibility and probability score when comparing with the SuperHirn software. In addition, by using our feature-based alignment framework, we were able to increase the number of matched features and improve the correlation between replicates. Second, we tested our feature matching algorithm on MALDI MS with MS/MS acquisitions. We found that using only features that matched across replicates of tandem mass spectra we could improve the identification of peptides compared with the current state-of-the-art software. Supplementary Material is available online at www.libertonline. com/cmb .
3D serial TSV link for low-power chip-to-chip communication

3D-ICs based on TSV technology provide high bandwidth inter-chip connections. The drawback is that most of the existing TSVs consume a large amount of silicon real estate. We present circuit-level design and analysis of area efficient, low power, high-data-rate 3D serial TSV links. A design space exploration is performed and trade-offs in terms of area, power and performance are presented. Circuit simulations of RC-extracted layouts in 40nm CMOS-technology reveals that 8:1 serialization efficiently balances area consumption and energy efficiency. Using 10μm-diameter TSV technology, an 8Gb/s serial link consumes only 84fJ/bit with 10X area reduction over 8b parallel bus.
Community financing in the German organic food sector

The rise of socially responsible and impact investing funds provides evidence for an increased interest private investors have in combining their financial and ethical concerns. At the same time, citizens increasingly engage in food networks and take on a vital role in the governance of agri-food systems. These developments might benefit farms and firms which are committed to sustainable food and seek funding. Through different community financing models, they can involve citizens who aim at supporting the development of a more sustainable food system. While still a niche market, an increasing number of firms in the German organic food sector uses community financing to substitute or complement traditional bank credit financing. There is a wide range of different models which can be classified as follows: 1. Pure financing instruments, e.g. crowdfunding, profit participation rights, direct loans. 2. Financing models which base on a particular legal form, e.g. cooperative, corporation. 3. Financing in cooperation with an intermediary organization which pools citizens’ capital, e.g. citizen shareholder corporation, land purchase cooperative. 4. Others (mostly related to primary production), e.g. community supported agriculture (CSA), leasing and sponsorship. Community financing can increase financial independence from credit intuitions and provides an opportunity to receive funding which otherwise might be difficult to obtain. Given the high capital intensity in agriculture and rising purchase prices of agricultural land, access to traditional bank credit financing is a particular challenge for new or less productive farms. Access to finance can also be a key obstacle for smaller companies involved in collaborative short food chains and green start-ups that offer innovative products or services and/or lack business education. Apart from financial considerations, particular community financing models can also serve as marketing tool in order to build or intensify relationships to customers. As the example of the German energy transition shows, financial citizen participation can be crucial for financing the transformation of the energy sector. However, little is known 5 about community financing models in the agri-food sector. Accordingly, this paper presents empirical evidence on community financing in the German organic food sector and discusses the role it can play in food system transformation.
Simultaneous and ultrarapid determination of reactive oxygen species and reduced glutathione in apoptotic leukemia cells by microchip electrophoresis

A microchip electrophoresis method coupled with laser‐induced fluorescence (LIF) detection was established for simultaneous determination of two kinds of intracellular signaling molecules (reactive oxygen species, ROS, and reduced glutathione, GSH) related to apoptosis and oxidative stress. As the probe dihydrorhodamine‐123 (DHR‐123) can be converted intracellularly by ROS to the fluorescent rhodamine‐123 (Rh‐123), and the probe naphthalene‐2,3‐dicarboxaldehyde (NDA) can react quickly with GSH to produce a fluorescent adduct, rapid determination of Rh‐123 and GSH was achieved on a glass microchip within 27 s using a 20 mM borate buffer (pH 9.2). The established method was tested to measure the intracellular ROS and GSH levels in acute promyelocytic leukemia (APL)‐derived NB4 cells. An elevation of intracellular ROS and depletion of GSH were observed in apoptotic NB4 cells induced by arsenic trioxide (As2O3) at low concentration (1–2 µM). Buthionine sulfoximine (BSO), in combination with As2O3 enhanced the decrease of reduced GSH to a great extent. The combined treatment of As2O3 and hydrogen peroxide (H2O2) led to an inverse relationship between the concentrations of ROS and GSH obtained, showing the proposed method can readily evaluate the generation of ROS, which occurs simultaneously with the consumption of the inherent antioxidant.
Using sparse voxel octrees in a level-of-detail pipeline for Rio 2

classroom use is granted without fee provided that copies are not made or distributed for commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author. SIGGRAPH 2014, August 10 – 14, 2014, Vancouver, British Columbia, Canada. 2014 Copyright held by the Owner/Author. ACM 978-1-4503-2960-6/14/08 Using Sparse Voxel Octrees in a Level-of-Detail Pipeline for Rio 2
Morph‐ratio variation, population size and female reproductive success in distylous Pulmonaria officinalis (Boraginaceae)

Theory predicts that morph ratios in heterostylous populations are governed by negative frequency‐dependent selection typically resulting in equal morph ratios at equilibrium. Previous work on the distylous perennial herb Pulmonaria officinalis, however, showed asymmetric mating between floral morphs and a weak self‐incompatibility system, with the long‐styled morph (L‐morph) producing significantly higher seed set following intramorph crosses and even selfing than the short‐styled morph (S‐morph), two aspects thought to affect female fecundity and morph‐ratio variation. Here, we evaluated morph ratios and population size of all known P. officinalis populations in the northern part of Belgium. Morph ratios deviated significantly from 1 : 1 (range 0.09–1 L‐morph frequency, mean = 0.58). Relative fecundity of the S‐morph (i.e. mean seed set of the S‐morph/mean seed set of the L‐morph) was on average 0.73, was positively related to the frequency of the L‐morph, and reached 1 (similar levels of female fecundity) at an average L‐morph frequency of 0.66 in the population. As some small populations had the S‐morph in majority, our results suggest that local morph ratios are influenced both by the relative fecundity of L‐ and S‐morph individuals and by stochastic processes in small populations.
Testing and model selection for prediction in large sets of variables

In dieser Arbeit wird die Selektion von Variablen die (in Wahrheit) einen Einfluss auf einen klinischen Endpunkt (z.B. den Ausgang einer bestimmten Therapie) haben aus einer grosen Menge von Kandidatenvariablen mit Hilfe von nur kleinen Stichproben von Patienten, die auf die Therapie reagieren bzw. nicht reagieren, behandelt. Die Selektion basiert auf einer multiplen Testprozedur die die False Discovery Rate (FDR) einhalt. Mit jenen, mit Hilfe der multiplen Testprozedur selektierten, Variablen soll ein prognostischer Score konstruiert werden, mit dem man den klinischen Endpunkt eines zukunftigen Patienten vorhersagen kann. Dieser lineare Score wird aufgrund der resultierenden Receiver Operating Characteristic Curve (ROC) bewertet. Die Selektionsgrenze fur die FDR, welche die beste Flache unter der ROC-Kurve (AUC) liefert ist allerdings von unbekannten Parametern wie z.B. der Effektgrose oder der Anzahl der Variablen, die tatsachlich einen Einfluss auf den klinischen Endpunkt haben stark abhangig. Um in einem spezifischen Datensatz nach der optimalen Selektionsschranke zu suchen wird die Verwendung einer Prozedur zur Kreuzvalidierung vorgeschlagen. Diese Prozedur (i) ermittelt ein adaquates Selektionskriterium fur die multiple Testprozedur, (ii) berechnet einen (positiv verzerrten) Schatzer fur die AUC fur zukunftige Prognosen und (iii) liefert einen Schatzer fur die FDR, der nahe der wahren FDR ist. Daruber hinaus geben niedrige Werte der ermittelten kreuzvalidierten AUC und grose Werte der kreuzvalidierten FDR einen Hinweis darauf, dass der Einfluss der Variablen auf den klinischen Endpunkt zu gering ist und/oder dass die gegebene Stichprobengrose zu gering ist um die gegebenen Effekte zu finden.
Identification of Methicillin Resistant Staphylococcus aureus (MRSA) and Methicillin Resistant Coagulase-Negative Staphylococcus (CoNS) in Clinical Settings

To evaluate different methods for the identification of methicillin-resistant Staphylococci and their reliability, 112 Staphylococcal isolates (32 Staphylococcus aureus isolates and 80 coagulase negative Staphylococci isolates âCoNSâ) were collected from 118 nasal swab cultures and were subjected to three methods to detect oxacillin susceptibility of the isolates. The three methods were oxacillin disk diffusion method; the Epsilometer- test (E-test) and polymerase chain reaction (PCR). For the S. aureus strains, the E-test and the PCR methods showed discrepant results in two isolates (6.25%); that showed susceptible patterns with the E-test, but were resistant by the disk diffusion method. Both isolates were negative for the presence of mecA gene. Seven (8.75%) out of the 80 CoNS isolates showed conflicting results where four isolates showed resistance with the disk diffusion and the E-test methods, and had negative mecA gene by PCR. Three of the 7 CoNS with the conflicting results showed a susceptible pattern to oxacillin by the E-test method, while the PCR method showed the presence of mecA gene. We concluded that combination of molecular and conventional methods should be used to assess methicillin resistance of Staphylococci in clinical practices.