Miracle-dz/UniFAR-FTUs huggingface dataset:
A validity study of the SSAGA--a comparison with the SCAN.

OBJECTIVE This study examined the concurrent diagnostic validity of the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA) across alcohol and drug dependencies, major depression, anxiety disorders and ASPD. The Schedule for Clinical Assessment in Neuropsychiatry (SCAN) was selected as the comparison instrument because it arises from a different tradition and uses a different format for its administration. The SCAN has been shown to be valid and applicable cross-culturally. METHOD Subjects included 38 men and 42 women volunteers from another study and from an outpatient psychiatry clinic. Selected sections of both the SSAGA and the SCAN interviews were administered to all subjects, approximately 1 week apart, in a randomized order. Because the SCAN does not assess Antisocial Personality Disorder (ASPD), the ASPD section of the Structured Clinical Interview for DSM-III-R (SCID) was substituted for this comparison. RESULTS The Kappa statistic was used to measure concordance between the two instruments. Kappa for alcohol dependence was in the acceptable range (0.63). Kappas were lower for sedative dependence (0.48) and for cannabis dependence (0.53), but higher for cocaine and stimulant dependence (0.85) and for opioid dependence (0.73). Kappa for major depression and the ASPD diagnoses were high (0.71 and 0.70), but slightly lower agreement was found for panic disorder (0.62). Kappa for social phobia was 0.47. CONCLUSION These data, combined with results from two previous studies which examined reliability, indicate that the SSAGA is a highly reliable and valid instrument for use in studies of a variety of psychiatric disorders, including alcohol and drug dependence.
emo-1, a Caenorhabditis elegans Sec61p gamma homologue, is required for oocyte development and ovulation

emo-1(oz1) is a member of a class of hermaphrodite sterile mutations in Caenorhabditis elegans that produce endomitotic oocytes in the gonad arm. Oocytes in emo-1(oz1) mutants exhibit multiple defects during oogenesis. After meiotic maturation, ovulation fails, trapping oocytes in the gonad arm where they become endomitotic. emo-1 encodes a homologue of the Sec61p gamma subunit, a protein necessary for translocation of secretory and transmembrane proteins into the endoplasmic reticulum of yeast and mammalian cells. A putative emo-1 null mutation, oz151, displays embryonic lethality. The oz1 sterile mutation is a transposable element insertion into the emo-1 3' untranslated region that almost completely eliminates germline mRNA accumulation. Genetic mosaic analysis using the oz1 allele indicates that emo-1(+) expression in germ cells is required for fertility. The J67 monoclonal antibody, which recognizes an oocyte surface antigen (Strome, S. 1986. In Gametogenesis and the Early Embryo. J.G. Gall, editor. Alan R. Liss, Inc., New York. 77-95.), does not stain oz1 oocytes, a finding consistent with defective protein transport in the mutant. We propose that the emo-1 gene product acts in the transport of secreted and transmembrane proteins in C. elegans oocytes, and is necessary for both oogenesis and the coupling of ovulation with meiotic maturation.
Controls the Expression of Genes Critical for The Autoimmune Regulator Directly

SheWei-Peng Zheng, Yan Zhang, Leena Peltonen and Jin-XiongSetiady, Sarah Eckenrode, Bing Yi, Sharad Purohit, Qing-Guo Ruan, Kenneth Tung, Daniel Eisenman, Yuliushttp://www.jimmunol.org/content/178/11/7173J Immunol€2007; 178:7173-7180; ;Referenceshttp://www.jimmunol.org/content/178/11/7173.full#ref-list-1This article cites 39 articles, 16 of which you can access for free at: Subscriptionshttp://jimmunol.org/subscriptionsInformation about subscribing to The Journal of Immunology is online at: Permissionshttp://www.aai. org/ji/copyright.htmlSubmit copyright permission requests at: Email Alertshttp://jimmunol.org/cgi/alerts/etocReceive free email-alerts when new articles cite this article. Sign up at:
Trait Anxiety Modulates Brain Activity during Performance of Verbal Fluency Tasks

Trait anxiety is thought to be associated with pathological anxiety, and a risk factor for psychiatric disorders. The present study examines the brain mechanisms associated with trait anxiety during the performing of verbal fluency tasks. The aim is to show how trait anxiety modulates executive functions as measured by verbal fluency, and to explore the link between verbal fluency and anxiety due to the putative negative biases in high-anxious individuals. Seven tasks of verbal fluency were used: letter “k,” “f,” verbs, “animals,” “vehicles,” “joy,” and “fear. ” The results of 35 subjects (whole sample), and 17 subjects (nine men, eight women) selected from the whole sample for the low/high-anxious groups on the basis of Trait Anxiety scores were analyzed. The subjects were healthy, Polish speaking, right-handed and aged from 20 to 35 years old. fMRI (whole-brain analysis with FWE corrections) was used to show the neural signals under active participation in verbal fluency tasks. The results confirm that trait anxiety slightly modulates neural activation during the performance of verbal fluency tasks, especially in the more difficult tasks. Significant differences were found in brain activation during the performance of more complex tasks between individuals with low anxiety and those with high anxiety. Greater activation in the right hemisphere, frontal gyri, and cerebellum was found in people with low anxiety. The results reflect better integration of cognitive and affective capacities in individuals with low anxiety.
A vertical news recommendation system: CCNS—An example from Chinese campus news reading system

News recommendation systems are widely used to address the information overloading problem. Many Web-based news reading services, like Google News and Yahoo! News, have become increasingly prevalent as they help users find interesting articles from news providers that match the users' preference. However, few research efforts have been reported on campus news recommendation. Different from news articles, news from vertical systems is often short with limited topic scope, targeting at specific audience. To address the aforementioned characteristics, in the paper, we develop a hybrid recommendation system for campus news by integrating different recommendation algorithms using linear combination. Offline and online experiments are conducted to evaluate the system effectiveness.
A fuzzy inference model for short-term load forecasting

This paper is concerned with the short-term load forecasting (STLF) in power system operations. It provides load prediction for generation scheduling and unit commitment decisions, and therefore precise load forecasting plays an important role in reducing the generation cost and the spinning reserve capacity. Forecasting is a significant element in economic system performance and its impact on network power control. Load forecasting with the uses of fuzzy implementation is faster and more accurate than conventional load forecasting methods that deal with huge amount of data and the long time needed to be processed. The accuracy of the dispatching system, which is derived from the accuracy of the forecasting algorithm used, will determine the economics of the operation of the power system. The inaccuracy or large error in the forecast simply means that load matching is not optimized and consequently the generation and transmission systems are not being operated in an efficient manner. In the present study, a proposed methodology has been introduced to decrease the forecasted error and the processing time by using fuzzy logic controller on an hourly base. The proposed fuzzy-based STLF method is applied on a real case study, and the results showed that the STLF of the fuzzy implementation have more accuracy and better outcomes.
Efficiency improvement of contactless energy transfer systems using series compensation device named MERS

Electromagnetic coupled contactless energy transfer system has a challenge that the output power and efficiency is closely affected by the relative position between primary and secondary coils. For the challenge, this paper proposes an active series compensation device named MERS applied for that type of contactless energy transfer system. This paper proposes that 2-switch configuration of MERS is attractive for this application from points of operating range required and loss characteritics of the configuration. Small scale experiments with 1-kW demonstration device were conducted and confirm that the active compensation can achieve the optimal operation point for varying relative position of coils.
Energy Reduction through Compiler Directed Resizing of Configurable Structures

Compiler Directed Resizing is a method for resizing configurable structures in processors with the help of compiler. Program behavior profiles are collected at the function call level and are then used to determine the correct size of the structure. A hardware structure to detect the hot functions collects the pertinent information about them. The runtime sys tem and the compiler use this information to insert the resizing instructions at appropriate locations. With this scheme we are able to save 9% of the activity in the instruction fetch part of the processor.
BlackHole: Robust community detection inspired by graph drawing

With regard to social network analysis, we concentrate on two widely-accepted building blocks: community detection and graph drawing. Although community detection and graph drawing have been studied separately, they have a great commonality, which means that it is possible to advance one field using the techniques of the other. In this paper, we propose a novel community detection algorithm for undirected graphs, called BlackHole, by importing a geometric embedding technique from graph drawing. Our proposed algorithm transforms the vertices of a graph to a set of points on a low-dimensional space whose coordinates are determined by a variant of graph drawing algorithms, following the overall procedure of spectral clustering. The set of points are then clustered using a conventional clustering algorithm to form communities. Our primary contribution is to prove that a common idea in graph drawing, which is characterized by consideration of repulsive forces in addition to attractive forces, improves the clusterability of an embedding. As a result, our algorithm has the advantages of being robust especially when the community structure is not easily detectable. Through extensive experiments, we have shown that BlackHole achieves the accuracy higher than or comparable to the state-of-the-art algorithms.
Pearson's goodness of fit statistic as a score test statistic

For any generalized linear model, the Pearson goodness of fit statistic is the score test statistic for testing the current model against the saturated model. The relationship between the Pearson statistic and the residual deviance is therefore the relationship between the score test and the likelihood ratio test statistics, and this clarifies the role of the Pearson statistic in generalized linear models. The result is extended to cases in which there are multiple reponse observations for the same combination of explanatory variables.
CRIMINAL CAREERS OF PUBLIC PLACES

Most police calls for service come from especially dangerous locations, or "hot spots. " If risks at these locations are stable—hot spots stay hot—community problem-solving techniques may reduce crimes and disorders substantially. If locations run high risks only temporarily or sporadically, location-based strategies may not work. Analysis of calls for service at high schools, housing projects, subway stations and parks in Boston shows that risks remain fairly constant over time; most apparent changes may be attributed to random processes. Autoregression and displacement in space and call type are statistically significant but unimportant indicators of call rates. In addition to verifying the effectiveness of community problemsolving strategies, these results have practical implications for problem-solv-
Investigating how APOE differentially affects memory and perception of ambiguous scenes in young- and middle-aged adults

My thesis investigated whether performance on complex scene and object perceptual and memory tasks would be influenced by possession of different variants of the APOE gene. A particular focus was on the effect of the APOE-e4 allele on scene processing. APOE-e4 is known to increase risk for Alzheimer's disease (AD) in later life and is associated with structural and functional changes in the medial temporal lobe (MTL) and posteromedial cortex, regions known to be affected early in AD. Previous studies have shown sensitivity to spatial processing in AD, including difficulties in differentiating scene, but not object, stimuli (Lee et al., 2006), impairments remembering scenes over a delay (Bird et al., 2010), and deficits in navigation around spatial environments (Pengas et al., 2010). These findings suggest that difficulties with complex spatial processing may be a hallmark of AD, and that investigation of scene processing in individuals at greater risk of developing AD later in life may be of interest in understanding the genesis of these later life cognitive impairments. In Chapter 1, I provide an overview of relevant literature on the APOE gene and its relationship to AD, and discuss experiments which have demonstrated brain and behaviour differences between APOE-e4 carriers and non-carriers. I interpret these findings in the context of recent models of memory which focus on representational networks, and where distinctions between scene and object processing are a key feature (Bussey & Saksida, 2007; Graham, Barense, & Lee, 2010; Murray, Wise, & Graham, 2017). The subsequent chapters describe experiments which aimed to extend the research described in Chapter 1 by investigating scene perception and memory in carriers of different APOE alleles in early- and mid-adulthood. In Chapter 2, I describe findings from applying a novel conjunctive learning task, in which participants were required to discriminate between objects and scenes. In Chapter 3, I report results from applying a new visual paired-comparison task in the same group of participants. Chapter 4 extends the approach outlined in Chapter 3, using the visual paired-comparison task in middle- aged participants, again focusing on the comparison of performance in groups with different APOE genotypes. Finally, in Chapter 5, I assess how performance in the tasks used in Chapters 2-4 are related to the volumes of brain regions (in the MTL and extrastriate cortex). As these have been strongly linked to object and scene perception and memory, I was interested in whether volume would be associated with performance on my new tasks. The final chapter summarises the experimental findings from Chapters 2-5 and explains how these build upon our current body of knowledge about how the APOE gene affects cognition in both early- and mid-adulthood.
A New Distributed Parameter Broadband Matching Method for Power Amplifier via Real Frequency Technique

A general matching method is presented in this paper for broadband power amplifier (PA) design. A novel cost function is proposed for the real frequency technique (RFT), which could straightforwardly describe PA optimal impedance along with frequency change. The new function is also developed to design a broadband transformer for the PA output matching network (MN). Based on Richard transformation, a commensurate transmission line is deployed so that the PA matching could be convenient expressed by a real positive function. More important is that the function could be directly implemented with a distributed MN through synthesis theory. Therefore, this method is practical for computer-aided design and has less calculation amount with new function for the RFT. To verify the method, a step-by-step design of a broadband PA is given. For large signals, power gain is 14.2-16.8 dB across 0.9-2.8 GHz, while output power is around 39.5 dBm. The maximum power-added efficiency is from 52.2% to 85.1%.
Human Action Recognition algorithm based on Minimum Spanning Tree of CPA Models

Human pose recognition algorithm for monocular video was proposed to model human part parameters using video features combination with 3D motion capture data. Firstly Constant Part Appearance (CPA) Models and three-dimensional motion data projection constraint graph structure was defined. To simplify the reasoning process, a constraint graph of the spanning tree construction algorithm and the balancing algorithm were proposed. Combination with the proposed function mechanism, spanning tree of constraint graph and Metropolis-Hastings method, human motion under monocular video can be tracking and recognition, and inferring the 3D motion parameters. By using data-driven (Markov chain Monte Carlo MCMC) and constrain map, human motion limb recognition algorithm is proposed, and the method can be applied to data-driven online human behavior recognition. Experimental results show that the proposed method can recognize human motion action automatically and accurately in monocular video.
Measuring the range of an additive Lévy process

The primary goal of this paper is to study the range of the random field X(t)=∑Nj=1Xj(tj), where X1,…,XN\vspace*{-1pt} are independent Levy processes in \Rd. To cite a typical result of this paper, let us suppose that Ψi denotes the Levy exponent of Xi for each i=1,…,N. Then, under certain mild conditions, we show that a necessary and sufficient condition for X(\RN+) to have positive d-dimensional Lebesgue measure is the integrability of the function \Rd∋ξ↦∏Nj=1R{1+Ψj(ξ)}−1. This extends a celebrated result of Kesten and of Bretagnolle in the one-parameter setting. Furthermore, we show that the existence of square integrable local times is yet another equivalent condition for the mentioned integrability criterion. This extends a theorem of Hawkes to the present random fields setting and completes the analysis of local times for additive Levy processes initiated in a companion by paper Khoshnevisan, Xiao and Zhong.
Impact of body tilt on the central aortic pressure pulse

The present work was undertaken to investigate, in young healthy volunteers, the relationships between the forward propagation times of arterial pressure waves and the timing of reflected waves observable on the aortic pulse, in the course of rapid changes in body position. 20 young healthy subjects, 10 men, and 10 women, were examined on a tilt table at two different tilt angles, −10° (Head‐down) and + 45° (Head‐up). In each position, carotid‐femoral (Tcf) and carotid‐tibial forward propagation times (Tct) were measured with the Complior device. In each position also, the central aortic pressure pulse was recorded with radial tonometry, using the SphygmoCor device and a generalized transfer function, so as to evaluate the timing of reflected waves reaching the aorta in systole (onset of systolic reflected wave, sT1r) and diastole (mean transit time of diastolic reflected wave, dMTT). The position shift from Head‐up to Head‐down caused a massive increase in both Tct (women from 130 ± 10 to 185 ± 18 msec P < 0.001, men from 136 ± 9 to 204 ± 18 msec P < 0.001) and dMTT (women from 364 ± 35 to 499 ± 33 msec P < 0.001, men from 406 ± 22 to 553 ± 21 msec P < 0.001). Mixed model regression showed that the changes in Tct and dMTT observed between Head‐up and Head‐down were tightly coupled (regression coefficient 2.1, 95% confidence interval 1.9–2.3, P < 0.001). These results strongly suggest that the diastolic waves observed on central aortic pulses reconstructed from radial tonometric correspond at least in part to reflections generated in the lower limbs.
Transaction Management in WSAN Cloud Environment

In order to ensure the correct processing of transactions, we introduced the concept of serializability. However, both serializability and relevant properties within transaction-based applications might be affected. Ensuring serializability of transactions in corrupted systems is amongst the requirements which allow to process properly interrelated transactions, preventing from blocking situations that involve inability to commit either transactions or their related sub-transactions. In such context, this paper proposes an approach for the processing of transactions in wireless storage area network (WSAN) cloud environments able to secure serializability in running transactions whether the system is compromised or not. A case study is shown to illustrate the capabilities of the suggested system.
Bank Lending During the Financial Crisis of 2008

This paper shows that new loans to large borrowers fell by 47% during the peak period of the financial crisis (fourth quarter of 2008) relative to the prior quarter and by 79% relative to the peak of the credit boom (second quarter of 2007). New lending for real investment (such as working capital and capital expenditures) fell by only 14% in the last quarter of 2008, but contracted nearly as much as new lending for restructuring (LBOs, M&As, share repurchases) relative to the peak of the credit boom. After the failure of Lehman Brothers in September 2008, there was a run by short-term bank creditors, making it difficult for banks to roll over their short term debt. We find that there was a simultaneous run by borrowers who drew down their credit lines, leading to a spike in commercial and industrial loans reported on bank balance sheets. We examine whether these two stresses on bank liquidity led them to cut lending. In particular, we show that banks cut their lending less if they had better access to deposit financing and thus, they were not as reliant on short-term debt. We also show that banks that were more vulnerable to credit-line drawdowns because they co-syndicated more of their credit lines with Lehman Brothers reduced their lending to a greater extent.
Aberrant epigenome in iPSC‐derived dopaminergic neurons from Parkinson's disease patients

The epigenomic landscape of Parkinson's disease (PD) remains unknown. We performed a genomewide DNA methylation and a transcriptome studies in induced pluripotent stem cell (iPSC)‐derived dopaminergic neurons (DAn) generated by cell reprogramming of somatic skin cells from patients with monogenic LRRK2‐associated PD (L2PD) or sporadic PD (sPD), and healthy subjects. We observed extensive DNA methylation changes in PD DAn, and of RNA expression, which were common in L2PD and sPD. No significant methylation differences were present in parental skin cells, undifferentiated iPSCs nor iPSC‐derived neural cultures not‐enriched‐in‐DAn. These findings suggest the presence of molecular defects in PD somatic cells which manifest only upon differentiation into the DAn cells targeted in PD. The methylation profile from PD DAn, but not from controls, resembled that of neural cultures not‐enriched‐in‐DAn indicating a failure to fully acquire the epigenetic identity own to healthy DAn in PD. The PD‐associated hypermethylation was prominent in gene regulatory regions such as enhancers and was related to the RNA and/or protein downregulation of a network of transcription factors relevant to PD (FOXA1, NR3C1, HNF4A, and FOSL2). Using a patient‐specific iPSC‐based DAn model, our study provides the first evidence that epigenetic deregulation is associated with monogenic and sporadic PD.