Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluating Psychological Insight in a Clinical Sample Using the Shedler-Westen Assessment Procedure

Using the Shedler-Westen Assessment Procedure (SWAP)-200 Q-Sort items in a large clinical sample of outpatients (N = 105), we developed the SWAP insight scale. The rationale, psychometric properties, and convergent validity of this insight scale are reported. Through factor analysis, six of the SWAP-200 items were identified as psychometrically optimal in the assessment of insight (presence or absence) with an alpha coefficient of 0.78. We examined the construct validity of this SWAP insight scale using independent clinical videotape ratings of the Capacity for Dynamic Process Scale, specifically the items "appears introspective" and "manifests insight. " We also examined the relationship between the SWAP insight scale using independent clinical videotape ratings of the Social Cognition and Object Relations Scale-Global Ratings, specifically ratings of "complexity of representations" and "social causality. " The results demonstrated significant positive correlation between the SWAP insight scale and all five of these criterion measures. Partial correlations demonstrated that, even when the effects of global psychiatric severity are controlled for, the SWAP insight scale maintains a significant relationship with independent clinical videotape ratings of patients manifesting insight during sessions. Future research directions and clinical implications of the SWAP insight scale are discussed.
Evolution after Introduction of a Novel Metabolic Pathway Consistently Leads to Restoration of Wild-Type Physiology

Organisms cope with physiological stressors through acclimatizing mechanisms in the short-term and adaptive mechanisms over evolutionary timescales. During adaptation to an environmental or genetic perturbation, beneficial mutations can generate numerous physiological changes: some will be novel with respect to prior physiological states, while others might either restore acclimatizing responses to a wild-type state, reinforce them further, or leave them unchanged. We examined the interplay of acclimatizing and adaptive responses at the level of global gene expression in Methylobacterium extorquens AM1 engineered with a novel central metabolism. Replacing central metabolism with a distinct, foreign pathway resulted in much slower growth than wild-type. After 600 generations of adaptation, however, eight replicate populations founded from this engineered ancestor had improved up to 2.5-fold. A comparison of global gene expression in wild-type, engineered, and all eight evolved strains revealed that the vast majority of changes during physiological adaptation effectively restored acclimatizing processes to wild-type expression states. On average, 93% of expression perturbations from the engineered strain were restored, with 70% of these occurring in perfect parallel across all eight replicate populations. Novel changes were common but typically restricted to one or a few lineages, and reinforcing changes were quite rare. Despite this, cases in which expression was novel or reinforced in parallel were enriched for loci harboring beneficial mutations. One case of parallel, reinforced changes was the pntAB transhydrogenase that uses NADH to reduce NADP+ to NADPH. We show that PntAB activity was highly correlated with the restoration of NAD(H) and NADP(H) pools perturbed in the engineered strain to wild-type levels, and with improved growth. These results suggest that much of the evolved response to genetic perturbation was a consequence rather than a cause of adaptation and that physiology avoided “reinventing the wheel” by restoring acclimatizing processes to the pre-stressed state.
The Mixing Time of the Newman-Watts Small-World Model

‘Small worlds’ are large systems in which any given node has only a few connections to other points, but possessing the property that all pairs of points are connected by a short path, typically logarithmic in the number of nodes. The use of random walks for sampling a uniform element from a large state space is by now a classical technique; to prove that such a technique works for a given network, a bound on the mixing time is required. However, little detailed information is known about the behaviour of random walks on small-world networks, though many predictions can be found in the physics literature. The principal contribution of this paper is to show that for a famous small-world random graph model known as the Newman-Watts small-world model, the mixing time is of order log2 n. This confirms a prediction of Richard Durrett [5, page 22], who proved a lower bound of order log2 n and an upper bound of order log3 n.
Training Signalling Pathway Maps to Biochemical Data with Constrained Fuzzy Logic using CNORfuzzy

Mathematical models are used to understand protein signalling networks so as to provide an integrative view of pharmacological and toxicological processes at molecular level. CellNOptR [1] is an existing package (see http://bioconductor.org/packages/release/bioc/html/CellNOptR.html) that provides functionalities to combine prior knowledge network (about protein signalling networks) and perturbation data to infer functional characteristics (of the signalling network). While CellNOptR has demonstrated its ability to infer new functional characteristics, it is based on a boolean formalism where protein species are characterised as being fully active or inactive. In contrast, the Constraint Fuzy Logic formalism [4] implemented in this package (called CNORfuzzy) generalises the boolean logic to model quantitative data. The constrained Fuzzy Logic modelling (also denoted cFL) is fully described in [4]. It was first implemented in a Matlab toolbox CellNOpt (available at http://www.ebi.ac.uk/saezrodriguez/software. html#CellNetOptimizer). More information about the methods and application of the Matlab pipeline can be found in references [3, 4]. In this document, we show how to use the CNORfuzzy on biological model/data sets. Since CNORfuzzy and this tutorial use functions from CellNOptR, it is strongly recommended to read the CellNOptR tutorial before carrying on this tutorial.
Agent-based simulator for the German electricity wholesale market including wind power generation and widescale PHEV adoption

An agent-based model is applied to model the German electricity wholesale market with its four major German utility companies. The model is utilized to assess base and peak power spot prices for scenarios implying doubling or tripling wind generation capacity in Germany. Furthermore, the effect of 8 million Plug-In Hybrid Electric Vehicles (PHEVs), incorporating different charging/discharging patterns, on spot prices is evaluated. In the model the power generating units within the utilities are modeled by agents. These agents are trained to increase their profits by using a reinforcement learning approach combined with a genetic algorithm resulting in heuristically optimized bidding strategies. This approach allows to take into account strategic market behavior and the exercise of market power when analyzing future wind expansion and wide scale PHEV adoption scenarios. The wind generation is considered as an exogenous input to the model which estimates potential electricity prices and total cost for consumers.
Views on Creativity, Environmental Sustainability and Their Integrated Development

In the modern paradigm of sustainability, the role of creativity is of growing significance. No literature was found to have explored the relationship of creativity and environmental sustainability, in the perspective of university students. It is unsure—how our university students perceive them, especially for students of different backgrounds. This study aims at investigating the views of university students on human creativity (HC) and environmental sustainability (ES), and how these two views might affect their supportiveness and understanding of HC-ES integrated development. Case studies of four university students were conducted. They were carefully chosen in an education university of Hong Kong, a place where east-west culture meets. The Self-determination Theory and the Four-C Creativity Model were adopted to frame this study and to analyze its data. Two rounds of interview were conducted with interview scripts transcribed for content analysis. Results showed that the university students hold quite diverse views on HC, ES and HC-ES relationships. The students with general creativity training and/or authentic experiences in ES/HC were found to adopt a little-C and mini-C creativity conception and a self-determined ES approach, which subsequently bought a greater support to HC-ES integrated development/education. Based on the present findings, creativity training is recommended to environmental or sustainability programme in university education. Adopted the case study method, the present research has finally revealed the complexity of this seemingly simple issue, and paves the way for future creative environmental development and its research studies.
Adaptive workflow scheduling for dynamic grid and cloud computing environment

Effective scheduling is a key concern for the execution of performance‐driven grid applications such as workflows. In this paper, we first define the workflow scheduling problem and describe the existing heuristic‐based and metaheuristic‐based workflow scheduling strategies in grids. Then, we propose a dynamic critical‐path‐based adaptive workflow scheduling algorithm for grids, which determines efficient mapping of workflow tasks to grid resources dynamically by calculating the critical path in the workflow task graph at every step. Using simulation, we compared the performance of the proposed approach with the existing approaches, discussed in this paper for different types and sizes of workflows. The results demonstrate that the heuristic‐based scheduling techniques can adapt to the dynamic nature of resource and avoid performance degradation in dynamically changing grid environments. Finally, we outline a hybrid heuristic combining the features of the proposed adaptive scheduling technique with metaheuristics for optimizing execution cost and time as well as meeting the users requirements to efficiently manage the dynamism and heterogeneity of the hybrid cloud environment. Copyright © 2013 John Wiley & Sons, Ltd.
Repeated Glucose Deprivation/Reperfusion Induced PC-12 Cell Death through the Involvement of FOXO Transcription Factor

Background Cognitive impairment and brain damage in diabetes is suggested to be associated with hypoglycemia. The mechanisms of hypoglycemia-induced neural death and apoptosis are not clear and reperfusion injury may be involved. Recent studies show that glucose deprivation/reperfusion induced more neuronal cell death than glucose deprivation itself. The forkhead box O (FOXO) transcription factors are implicated in the regulation of cell apoptosis and survival, but their role in neuronal cells remains unclear. We examined the role of FOXO transcription factors and the involvement of the phosphatidylinositol 3-kinase (PI3K)/Akt and apoptosis-related signaling pathways in PC-12 cells exposed to repeated glucose deprivation/reperfusion. Methods PC-12 cells were exposed to control (Dulbecco's Modified Eagle Medium [DMEM] containing 25 mM glucose) or glucose deprivation/reperfusion (DMEM with 0 mM glucose for 6 hours and then DMEM with 25 mM glucose for 18 hours) for 5 days. MTT assay and Western blot analysis were performed for cell viability, apoptosis, and the expression of survival signaling pathways. FOXO3/4',6-diamidino-2-phenylindole staining was done to ascertain the involvement of FOXO transcription factors in glucose deprivation/reperfusion conditions. Results Compared to PC-12 cells not exposed to hypoglycemia, cells exposed to glucose deprivation/reperfusion showed a reduction of cell viability, decreased expression of phosphorylated Akt and Bcl-2, and an increase of cleaved caspase-3 expression. Of note, FOXO3 protein was localized in the nuclei of glucose deprivation/reperfusion cells but not in the control cells. Conclusion Repeated glucose deprivation/reperfusion caused the neuronal cell death. Activated FOXO3 via the PI3K/Akt pathway in repeated glucose deprivation/reperfusion was involved in genes related to apoptosis.
Evidence that brain angiotensin II is involved in both thirst and sodium appetite in baboons.

The roles of ANG II in the brain mechanisms subserving thirst and Na appetite in baboons were investigated by chronic intracerebroventricular infusions of ANG II and AT1-receptor antagonists using subcutaneous miniosmotic pumps and by oral administration of captopril. ANG II at 3 or 5 micrograms/h for 7 days increased water intake from 2,455 +/- 107 to 7,052 +/- 562 ml/day by day 6 and 300 mM NaCl intake from 8.3 +/- 1.1 to 275 +/- 87 mmol/day by day 5. Concurrent intracerebroventricular losartan (300 micrograms/h) did not substantially reduce these responses, but they were abolished by intracerebroventricular ZD-7155 (50 micrograms/h). The increase of 300 mM NaCl intake when it was offered after intramuscular injection of furosemide, 2 mg . kg-1 . day-1 for 3 days, was unaltered by intracerebroventricular losartan (300 micrograms/h) but was reduced by intracerebroventricular ZD-7155 (50 micrograms/h) infused throughout Na depletion/repletion; oral captopril (1 g, 3 and 18 h before access to 300 mM NaCl) also reduced NaCl intake. Restriction of water intake to 25% of daily intake for 3 days caused a high intake of water on day 4, and this was reduced by intracerebroventricular losartan (300 micrograms/h) infused throughout the period of water restriction/rehydration. These novel results in a primate species suggest that brain ANG II is involved in both thirst and Na appetite, acting via AT1 receptors.
Facial expression recognition by combination of classifiers

In this paper, we present a classifier fusion solution for automatic facial expression recognition. We represent our data using a sorted Principal Component Analysis, followed by a Linear Discriminant Analysis: the selection of principal components first performs a dimensionally reduction by improving discriminant capacities and then, a Linear Discriminant Analysis provides a class representation subspace where new samples can be classified. Using a fuzzy integral method [7], the classification is operated by combining, the outputs of three classifiers (using Mahalanobis distance, Euclidean distance and a Bayes rule based criterion). This method gives, for a new sample, a probabilistic interpretation of the different classifier outputs to generate a fuzzy measure vector for each considered facial expression class. The sample is then classified into class with maximum fuzzy posterior probability.
Mosquitoes Used to Draw Blood for Arbovirus Viremia Determinations in Small Vertebrates

Serial samples from the same individuals may be required for certain virological studies, however, some small animals cannot easily be blood-sampled. Therefore, we evaluated the use of Culex quinquefasciatus Say and Aedes albopictus Skuse mosquitoes as “biological syringes” to draw blood for virus titer determinations in small vertebrates. Groups of chicks (Gallus gallus), hamsters (Mesocricetus auratus), and house sparrows (Passer domesticus) were experimentally infected with West Nile virus (WNV) or Highlands J virus (HJV). In general, good correlation was seen between mosquito- and syringe-derived blood samples at titers ≥5.0 log10 pfu/mL serum as compared with titers <5.0 log10 pfu/mL serum for chicks, hamsters, and sparrows. Ninety-two percent (24/26) of sparrows with virus titers >105 pfu/mL serum had mosquito- and syringe-derived titers within one log of each other. Sparrow viremia profiles generated from single mosquito blood meals and syringe were not significantly different (p>0.05). This technique is valuable for assessing the roles of small vertebrates in the ecologies of arboviruses, and could be used in applications beyond virology and infectious diseases, when <10 µL of whole blood is required.
The ability of multifamily groups to improve treatment adherence in Mexican Americans with schizophrenia.

CONTEXT Evidence-based interventions to improve medication adherence among patients with schizophrenia are lacking. Although family psychoeducation has demonstrated efficacy in improving outcomes in schizophrenia, empirical support for its ability to enhance medication adherence is scarce. OBJECTIVE To determine whether a culturally adapted, multifamily group (MFG) therapy would increase medication adherence and decrease psychiatric hospitalizations for Spanish-speaking Mexican Americans with schizophrenia. DESIGN A total of 174 Mexican American adults with schizophrenia-spectrum disorder and their key relatives were studied in a 3-armed, randomized controlled trial of MFG therapy focused on improving medication adherence. Assessments occurred at baseline and at 4, 8, 12, 18, and 24 months. SETTING Two community mental health centers in Los Angeles, California. PARTICIPANTS Patients had a diagnosis of schizophrenia or schizoaffective disorder with a recent exacerbation of psychotic symptoms and nonadherence to medication before enrollment. Intervention Patients participated in 1 of 2 MFGs (MFG-adherence or MFG-standard) or treatment as usual. Groups convened twice monthly in 90-minute sessions for 1 year. MAIN OUTCOME MEASURES The Treatment Compliance Interview uses multiple sources of information to quantify medication adherence. Computerized records were used to collect information on the use of inpatient resources. RESULTS At the end of the 1-year treatment, MFG-adherence was associated with higher medication adherence than MFG-standard or treatment as usual only (F = 6.41; P = .003). The MFG-adherence participants had a longer time to first hospitalization (χ(2) = 13.3; P = . 001) and were less likely to be hospitalized than those in MFG-standard (χ(2) = 8.2; P = . 04) and treatment as usual alone (χ(2) = 11.3; P < . 001). Increased adherence accounted for one-third of the overall effect of treatment on the reduced risk for psychiatric hospitalization. CONCLUSION Multifamily group therapy specifically tailored to improve medication adherence through a focus on the beliefs and attitudes of the target population is associated with improved outcome for Mexican American adults with schizophrenia-spectrum disorders. Trial Registration clinicaltrials.gov Identifier: NCT01125267.
News Contents Recommendation Model Based on Feedback of Web Usage

In this paper, reclassification for the current classification through K-means would be implemented based on the feedback of web usage mining in order to improve the accuracy of news recommendation and convergence of classification. It could extract most relative keywords and eliminate the disturbance of multi-vocal word in one category based on feedback of web usage. The reclassification of news contents would be implemented based on K-Means algorithm and web usage mining result. We call this method as ReK-means. By simulation comparing, accuracy of reclassification were obvious to be improved compared with related words classification algorithm.
Commissioning of an Integrated Platform for Time-Resolved Treatment Delivery in Scanned Ion Beam Therapy by Means of Optical Motion Monitoring

The integrated use of optical technologies for patient monitoring is addressed in the framework of time-resolved treatment delivery for scanned ion beam therapy. A software application has been designed to provide the therapy control system (TCS) with a continuous geometrical feedback by processing the external surrogates tridimensional data, detected in real-time via optical tracking. Conventional procedures for phase-based respiratory phase detection were implemented, as well as the interface to patient specific correlation models, in order to estimate internal tumor motion from surface markers. In this paper, particular attention is dedicated to the quantification of time delays resulting from system integration and its compensation by means of polynomial interpolation in the time domain. Dedicated tests to assess the separate delay contributions due to optical signal processing, digital data transfer to the TCS and passive beam energy modulation actuation have been performed. We report the system technological commissioning activities reporting dose distribution errors in a phantom study, where the treatment of a lung lesion was simulated, with both lateral and range beam position compensation. The zero-delay systems integration with a specific active scanning delivery machine was achieved by tuning the amount of time prediction applied to lateral (14.61 ± 0.98 ms) and depth (34.1 ± 6.29 ms) beam position correction signals, featuring sub-millimeter accuracy in forward estimation. Direct optical target observation and motion phase (MPh) based tumor motion discretization strategies were tested, resulting in −0.3(2.3)% and −1.2(9.3)% median (IQR) percentual relative dose difference with respect to static irradiation, respectively. Results confirm the technical feasibility of the implemented strategy towards 4D treatment delivery, with negligible percentual dose deviations with respect to static irradiation.
A signal-noise model for significance analysis of ChIP-seq with negative control

MOTIVATION ChIP-seq is becoming the main approach to the genome-wide study of protein-DNA interactions and histone modifications. Existing informatics tools perform well to extract strong ChIP-enriched sites. However, two questions remain to be answered: (i) to which extent is a ChIP-seq experiment able to reveal the weak ChIP-enriched sites? (ii) are the weak sites biologically meaningful? To answer these questions, it is necessary to identify the weak ChIP signals from background noise. RESULTS We propose a linear signal-noise model, in which a noise rate was introduced to represent the fraction of noise in a ChIP library. We developed an iterative algorithm to estimate the noise rate using a control library, and derived a library-swapping strategy for the false discovery rate estimation. These approaches were integrated in a general-purpose framework, named CCAT (Control-based ChIP-seq Analysis Tool), for the significance analysis of ChIP-seq. Applications to H3K4me3 and H3K36me3 datasets showed that CCAT predicted significantly more ChIP-enriched sites that the previous methods did. With the high sensitivity of CCAT prediction, we revealed distinct chromatin features associated to the strong and weak H3K4me3 sites. AVAILABILITY http://cmb.gis. a-star.edu. sg/ChIPSeq/tools.htm.
Publicly Verifiable Secret Sharing Schemes Using Bilinear Pairings

A non-interactive, simple and e‐cient publicly veriflable secret sharing (PVSS) is constructed based on the bilinear pairing on elliptic curves, which has all advantages of Schoenmakers’ PVSS in [15]. Moreover, in the scheme’s distribution of shares phase, only using bilinearity of bilinear paring, anybody can verify that the participants received whether correct shares without implementing interactive or the non-interactive protocol and without construction so called witness of shares applying Fiat-Shamir’s technique. Subsequently, in the scheme’s reconstruction of secret phase, the released shares may be verifled by anybody with the same method. Since the PVSS need not to implement non-interactive protocol and construct witness in order to prevent malicious players, hence it reduces the overhead of communication. Finally, the PVSS has been extensions to the case without a dealer (or without a trusted center). A distributive publicly veriflable secret sharing (DPVSS) is proposed, which also reduces the overhead of communication. Analysis shows that these schemes are more secure and efiective than others, and it can be more applicable in special situation.