Miracle-dz/UniFAR-FTUs huggingface dataset:
Review: The antidepressant agomelatine improves the quality of life of depressed patients: implications for remission

One of the ongoing clinical challenges associated with the management of major depressive disorder is the fact that many patients do not achieve complete remission and even fewer patients remain in remission. Residual symptoms and poor treatment adherence are two of the main risk factors for relapse with current therapies. In order to face these challenges, clinicians need new treatment strategies that can provide more sustained, longer-term efficacy and adherence. Agomelatine, an innovative antidepressant, is a melatonergic MT1/MT2 agonist with 5HT2C receptor antagonist activity. Randomized, controlled studies have shown that agomelatine reduces depression symptoms and is well tolerated during short-term and long-term treatment strategies. Low relapse rates (21.7% for agomelatine versus 46.6% for placebo after 6 months of continuation treatment; p < 0.0001) have been reported and are believed to be the result of the cumulative effect of agomelatine at all stages of depression. In particular, specific residual symptoms, such as anxiety and sleep disturbances, which increase the rate of relapse, are significantly improved with agomelatine treatment. Furthermore, quality of life during remission, which can affect adherence rates, is likely to be improved because sexual function and weight are preserved. The combination of these unique properties suggests that treatment with agomelatine will provide more sustained, longer-term remission because antidepressant efficacy is combined with fewer residual symptoms and better tolerability and adherence.
Tris(tert-butyl isocyanide-κC)carbonylnickel(0)

The title compound, [Ni(C5H9N)3(CO)], was prepared from Ni(CO)4 and a tenfold excess of tert-butyl isocyanide. It crystallizes with two symmetry-independent molecules per asymmetric unit. The central Ni atom of each independent molecule has a nearly perfect tetrahedral coordination environment, comprising one carbon monoxide and three isocyanide ligands. The title compound is the first structurally characterized Ni0 compound with a mixed CO/RNC coordination.
An Econometric Analysis of Firm Specific Productivities: Evidence from Japanese plant level data

In estimating the production function of firms, problems of endogeneity and self selection exist as a result of firm-specific productivity shocks and entry/exit decisions. Several methods have been proposed to handle these problems, such as those by Olley and Pakes (1996) and Levinsohn and Petrin (1999, 2003). However, the endogeneity of labor input does not seem to be completely solved by these methods. We therefore propose an alternative semiparametric IV estimator. We suppose that firm-specific productivity influences labor input as well as capital input. We adopt the lagged variables of inputs as their instruments instead of investment inputs, unlike Olley and Pakes. Moreover, our econometric model should automatically adapt to the effect of the exit decision of each firm. We applied the model to Japanese plant-level panel data from 1982 to 2004 on the Census of Manufactures provided by the Ministry of Economy, Trade and Industry. We found that our estimator works well in an empirical study in terms of sign and magnitude of the technological parameters. Using the estimation residuals, we decomposed the TFP into firm-specific productivity and other exogenous shocks. We also aggregated the productivity shocks to industry-level productivities to determine the transition. We examined whether negative technological shocks were the main cause of poor economic performance in Japan during the "lost decade", and found that productivity did not decline in most Japanese industries since the 1980s. This implies that the recession might have been caused by demand-side factors rather than supply-side issues.
Learning to Hire Teams

Crowdsourcing and human computation are being employed in sophisticated projects that require the solution of a heterogeneous set of tasks. We explore the challenge of composing or hiring an effective team from an available pool of applicants for performing tasks required for such projects on an ongoing basis. How can one optimally spend budget to learn the expertise of workers as part of recruiting a team? How can one exploit the similarities among tasks as well as underlying social ties or commonalities among the workers for faster learning? We tackle these decision-theoretic challenges by casting them as an instance of online learning for best action selection with side-observations. We present algorithms with PAC bounds on the required budget to hire a near-optimal team with high confidence. We evaluate our methodology on simulated problem instances using crowdsourcing data collected from the Upwork platform.
Archive of SID TEMPORAL GENETIC STRUCTURE OF IRANIAN POPULATIONS OF BEECH, FAGUS ORIENTALIS (FAGACEAE)

Reforestation with autochthonous species should take into account the preservation of the temporal variability and the geographic structure of genetic diversity in forest species. In order to provide empirical data about the suitability of methods of sampling material, genetic comparison of 10 beech populations (at least 40 trees per population) and their progenies (seeds of 10 mother trees per population, each tree 7 seeds) were analysed using four highly polymorphic microsatellite loci. The allelic multiplicity was higher in seed samples than adult trees indicating gene flow from adjacent plant populations. The comparison for genetic diversity measures between adult trees and seed generation revealed no significant differences for allelic richness (Na), effective number of alleles (Ne), and number of rare alleles (Nr), neither observed (Ho) nor expected heterozygosity (He). Genetic differentiation in allelic frequencies between adult trees and seeds generation were rather low (Fst = 0.058). A close genetic relationship between adult trees from seed generation of each population, which revealed by un-weighted pair group method based on arithmetic average (UPGMA) and supported by an analysis of molecular variance (AMOVA), were detected. In this paper some aspects related to seed sampling were discussed.
A Metric for the Evaluation of Imitation

Stick out your tongue at a toddler and she will likely imitate by sticking out her tongue. Imitation is a very common and natural form of learning ubiquitous in humans. Dolphins and some species of apes also show imitative abilities, but only humans are attributed with ‘true’ imitation that enables the acquisition of entirely novel skills (Miklosi 1999). Imitation learning has become a very attractive topic for robotics researchers with the recent advent of humanoid robots and other highly articulated systems (Schaal 1999). Various research groups are working on the problem of endowing robots with the ability to learn and acquire new skills by imitation through demonstration (Atkeson & Schaal 1997; Billard & Mataric 2001; Ijspeert, Nakanishi, & Schaal 2001; Jenkins, Mataric, & Weber 2000; Mataric 2001; Nicolescu & Mataric 2001; Schaal 1997; 1999). One of the primary issues in imitation is finding corresponding actions. When a dolphin nods its head to imitate the nod of its human instructor, it has somehow figured out what action is the one that best corresponds to the demonstration. Similarly, when a child claps her hands to imitate an adult, she has successfully deduced the action that closely corresponds to what the adult did. In both of these cases, the imitators were able to sieve through their motor programs and select a suitable action sequence. This suggests the presence of an intrinsic measure of similarity between actions, which leads us to the correspondence problem. The correspondence problem asks the question: “how similar is an action sequence to the demonstration? ”. This problem lies at the very core of imitation. Despite the significance of this problem in imitation, there is almost no work to date in robotics that explicitly addresses it. The bulk of imitation research in robotics has focused on recognition of actions and learning and execution of motor programs. The correspondence problem has largely been implicitly “solved” by making use of very specific heuristic criteria appropriate for the considered task. We are specifically interested in addressing the correspondence problem in imitation. Our aim is to develop a comprehensive correspondence metric that can provide a scalar measure of dissimilarity/distance between any pair of action
A framework for evaluating wavelet based watermarking for scalable coded digital item adaptation attacks

A framework for evaluating wavelet based watermarking schemes against scalable coded visual media content adaptation attacks is presented. The framework, Watermark Evaluation Bench for Content Adaptation Modes (WEBCAM), aims to facilitate controlled evaluation of wavelet based watermarking schemes under MPEG-21 part-7 digital item adaptations (DIA). WEBCAM accommodates all major wavelet based watermarking in single generalised framework by considering a global parameter space, from which the optimum parameters for a specific algorithm may be chosen. WEBCAM considers the traversing of media content along various links and required content adaptations at various nodes of media supply chains. In this paper, the content adaptation is emulated by the JPEG2000 coded bit stream extraction for various spatial resolution and quality levels of the content. The proposed framework is beneficial not only as an evaluation tool but also as design tool for new wavelet based watermark algorithms by picking and mixing of available tools and finding the optimum design parameters.
Excess and the Mean in Early Modern English Literature

Acknowledgments and Note on Citations vii Introduction: Ancient Paradigms in Modern Conflicts 1 PART ONE: Two Early Modern Revisions of the Mean 19 1. Donne and the Personal Mean 21 2. "Mediocrities "and "Extremities ": Baconian Flexibility and the Aristotelian Mean 48 PART TWO: Means and Extremes in Early Modern Georgic 77 3. Moderation,Temperate Climate,and National Ethos from Spenser to Milton 79 4. Concord, Conquest, and Commerce from Spenser to Cowley 111 PART THREE: Erotic Excess and Early Modern Social Conflicts 143 5. Passionate Extremes and Noble Natures from Elizabethan to Caroline Literature 145 6. Erotic Excess versus Interest in Mid-to Late-Seventeenth-Century Literature 170 PART FOUR: Moderation and Excess in the Seventeenth-Century Symposiastic Lyric 197 7. Drinking and the Politics of Poetic Identity from Jonson to Herrick 199 8. Drinking and Cultural Conflict from Lovelace to Rochester 225 PART FIVE: Reimagining Moderation:The Miltonic Example 253 9. Paradise Lost ,Pleasurable Restraint, and the Mean of Self-Respect 255 Postscript: Sublime Excess, Dull Moderation, and Contemporary Ambivalence 285 Notes 289 Index 353
From grains to powders: From single particle contact mechanics measurements to bulk powder properties

Methods based on atomic force microscopy have been used to measure adhesion and sliding and rolling friction for single micron-sized particles. Model systems with low surface roughness (silica and gold particles) as well as technical products (carbonyl iron powder (CIP) particles) with less defined surface properties were used. For the model substances no significant dependence of adhesion on load was observed. For the CIP particles, plastic deformation was observed at higher loads. Comparison of the microscopic material parameters obtained for the CIP particles showed good agreement with the corresponding values obtained from Jenike shear cell experiments; this is especially true for the maximal attractive (cohesive) force. Computer simulations indicate that the macroscopic cohesion is primarily correlated to this (microscopic) maximal attractive force.
LEAKAGE THROUGH GEOSYNTHETIC DAM LINING SYSTEMS

An experimental testing program was conducted to quantify leakage through a geomembrane liner system when subjected to high hydraulic heads. Leakage through geomembranes is mainly due to the presence of defects, which may occur during installation and operation. Previous studies focused on leakage through landfill liners (i.e., low hydraulic heads) have led to analytical models and simplified equations to estimate and predict the leakage rate through a geomembrane lining system. However, available methods used to estimate leakage are limited to a range of head that is experienced in landfills. The results of the experimental program presented herein are compared to available analytical models. A simplified equation was developed using an analytical model to predict leakage rates for a range of conditions representative of dams, including representative hydraulic heads and soil hydraulic conductivity of the soil. The new equation is compared with data from the experimental program and also with existing models. This paper discusses the advantages of using a geomembrane in tandem with a compacted clay liner as a redundant lining system for earth dams.
Comparing behavior trees and emotional behavior networks for NPCs

Behavior trees have become increasingly popular as an action selection mechanism for non-player characters in games. A different approach to the action selection problem is represented by emotional behavior networks. They are a dynamic, goal-driven decision-making model, which focuses on using emotions for decision making, incorporating various psychological theories concerning emotions. In this paper, we compare behavior trees to emotional behavior networks from a design and functionality point of view.
Likelihood Ratio Based Score Fusion for Audio-Visual Speaker Identification in Challenging Environment

It is well known to enhance the performance of noise robust speaker identification using visual speech information with audio utterances. This paper presents an approach to evaluate the performance of a noise robust audio-visual speaker identification system using likelihood ratio based score fusion in challenging environment. Though the traditional HMM based audio-visual speaker identification system is very sensitive to the speech parameter variation, the proposed likelihood ratio based score fusion method is found to be stance and performs well for improving the robustness and naturalness of human-computerinteraction. In this paper, we investigate the proposed audiovisual speaker identification system in typical office environments conditions. To do this, we investigated two approaches that utilize speech utterance with visual features to improve speaker identification performance in acoustically and visually challenging environment: one seeks to eliminate the noise from the acoustic and visual features by using speech and facial image pre-processing techniques. The other task combines speech and facial features that have been used by the multiple Discrete Hidden Markov Model classifiers with likelihood ratio based score fusion. It is shown that the proposed system can improve a significant amount of performance for audio-visual speaker identification in challenging official environment conditions.
Plasma proteomic changes during hypothermic and normothermic cardiopulmonary bypass in aortic surgeries

Deep hypothermic circulatory arrest (DHCA) is a protective method against brain ischemia in aortic surgery. However, the possible effects of DHCA on the plasma proteins remain to be determined. In the present study, we used novel high-throughput technology to compare the plasma proteomes during DHCA (22°C) with selective cerebral perfusion (SCP, n=7) to those during normothermic cardiopulmonary bypass (CPB, n=7). Three plasma samples per patient were obtained during CPB: T1, prior to cooling; T2, during hypothermia; T3, after rewarming for the DHCA group and three corresponding points for the normothermic group. A proteomic analysis was performed using isobaric tag for relative and absolute quantification (iTRAQ) labeling tandem mass spectrometry to assess quantitative protein changes. In total, the analysis identified 262 proteins. The bioinformatics analysis revealed a significant upregulation of complement activation at T2 in normothermic CPB, which was suppressed in DHCA. These findings were confirmed by the changes of the terminal complement complex (SC5b-9) levels. At T3, however, the level of SC5b-9 showed a greater increase in DHCA compared to normothermic CPB, while 48 proteins were significantly downregulated in DHCA. The results demonstrated that DHCA and rewarming potentially exert a significant effect on the plasma proteome in patients undergoing aortic surgery.
Tal1 regulates osteoclast differentiation through suppression of the master regulator of cell fusion DC‐STAMP

The balance between bone‐forming osteoblasts and bone‐resorbing osteoclasts is crucial to bone homeostasis, an equilibrium that is disturbed in many bone diseases. The transcription factor Tal1 is involved in the establishment of hematopoietic stem cells in the embryo and is a master regulator of hematopoietic gene expression in the adult. Here, we show that Tal1 is expressed in osteoclasts and that loss of Tal1 in osteoclast progenitors leads to altered expression of >1200 genes. We found that DC‐STAMP, a key regulator of osteoclast cell fusion, is a direct target gene of Tal1 and show that Tal1 represses DC‐STAMP expression by counteracting the activating function of the transcription factors PU.1 and MITF. The identification of Tal1 as a factor involved in cell fusion contributes to the understanding of osteoclast‐associated diseases, including osteoporosis. —Courtial, N. , Smink, J. J., Kuvardina, O. N. , Leutz, A. , Göthert, J. R. , Lausen, J. Tal1 regulates osteoclast differentiation through suppression of the master regulator of cell fusion DC‐STAMP. FASEB J. 26, 523–532 (2012). www.fasebj. org
RNAi-mediated inhibition of MSP58 decreases tumour growth, migration and invasion in a human glioma cell line

MSP58, a 58‐kD nuclear microspherule protein, is an evolutionarily conserved nuclear protein implicated in the regulation of gene transcription as well as in malignant transformation. An analysis of mRNA expression by real‐time PCR revealed that MSP58 was significantly up‐regulated in 29% of high‐grade glioblastoma tissues as well as in four glioblastoma cell lines. In the present study, we further evaluated the biological functions of MSP58 in U251 glioma cell proliferation, migration, invasion and tumour growth in vivo by specific MSP58 knockdown using short hairpin RNA (shRNA). We found that MSP58 depletion inhibited glioma cell growth, primarily by inducing cell cycle arrest rather than apoptosis. MSP58 depletion also decreased the invasive capability of glioma cells and anchorage‐independent colony formation in soft agar. Moreover, suppression of MSP58 expression significantly impaired the growth of glioma xenografts in nude mice. Finally, a cell cycle‐associated gene array revealed potential molecular mechanisms contributing to cell cycle arrest in MSP58‐depleted glioma cells. In summary, our data highlight the importance of MSP58 in glioma progression and provided a biological basis for MSP58 as a novel candidate target for treatment of glioma.
Fault Injection Attacks on Cryptographic Devices: Theory, Practice, and Countermeasures

Implementations of cryptographic algorithms continue to proliferate in consumer products due to the increasing demand for secure transmission of confidential information. Although the current standard cryptographic algorithms proved to withstand exhaustive attacks, their hardware and software implementations have exhibited vulnerabilities to side channel attacks, e.g., power analysis and fault injection attacks. This paper focuses on fault injection attacks that have been shown to require inexpensive equipment and a short amount of time. The paper provides a comprehensive description of these attacks on cryptographic devices and the countermeasures that have been developed against them. After a brief review of the widely used cryptographic algorithms, we classify the currently known fault injection attacks into low-cost ones (which a single attacker with a modest budget can mount) and high-cost ones (requiring highly skilled attackers with a large budget). We then list the attacks that have been developed for the important and commonly used ciphers and indicate which ones have been successfully used in practice. The known countermeasures against the previously described fault injection attacks are then presented, including intrusion detection and fault detection. We conclude the survey with a discussion on the interaction between fault injection attacks (and the corresponding countermeasures) and power analysis attacks.
Modeling client arrivals at access points in wireless campus-wide networks

Our goal is to model the arrival of wireless clients at the access points (APs) in a production 802.11 infrastructure. Such models are critical for benchmarks, simulation studies, design of capacity planning and resource allocation, and the administration and support of wireless infrastructures. Our contributions include a novel methodology for modeling the arrival processes of clients at APs and the use of a powerful visualization tool for finding detailed interior features and quantile plots with simulation envelope for goodness-of-fit test. Time-varying Poisson processes can model well the arrival processes of clients at APs. We validate these results by modeling the visit arrivals at different time intervals and APs. Furthermore, we propose a clustering of the APs based on their visit arrival and functionality of the area in which these APs are located
Guided self-help concreteness training as an intervention for major depression in primary care: a Phase II randomized controlled trial

Background The development of widely accessible, effective psychological interventions for depression is a priority. This randomized trial provides the first controlled data on an innovative cognitive bias modification (CBM) training guided self-help intervention for depression. Method One hundred and twenty-one consecutively recruited participants meeting criteria for current major depression were randomly allocated to treatment as usual (TAU) or to TAU plus concreteness training (CNT) guided self-help or to TAU plus relaxation training (RT) guided self-help. CNT involved repeated practice at mental exercises designed to switch patients from an unhelpful abstract thinking habit to a helpful concrete thinking habit, thereby targeting depressogenic cognitive processes (rumination, overgeneralization). Results The addition of CNT to TAU significantly improved depressive symptoms at post-treatment [mean difference on the Hamilton Rating Scale for Depression (HAMD) 4.28, 95% confidence interval (CI) 1.29–7.26], 3- and 6-month follow-ups, and for rumination and overgeneralization post-treatment. There was no difference in the reduction of symptoms between CNT and RT (mean difference on the HAMD 1.98, 95% CI −1.14 to 5.11), although CNT significantly reduced rumination and overgeneralization relative to RT post-treatment, suggesting a specific benefit on these cognitive processes. Conclusions This study provides preliminary evidence that CNT guided self-help may be a useful addition to TAU in treating major depression in primary care, although the effect was not significantly different from an existing active treatment (RT) matched for structural and common factors. Because of its relative brevity and distinct format, it may have value as an additional innovative approach to increase the accessibility of treatment choices for depression.