LLukas22/scidocs huggingface dataset:
Extratemporal hypometabolism on FDG PET in temporal lobe epilepsy as a predictor of seizure outcome after temporal lobectomy

 We investigated the relationship between the presence of extratemporal hypometabolism on fluorine-18 fluorodeoxyglucose positron emission tomography (FDG PET) and seizure outcome after temporal lobectomy in patients with medically intractable temporal lobe epilepsy (TLE). In 47 patients with intractable unilateral mesial TLE, regional metabolic changes on FDG PET images obtained during the 2 months preceding anterior temporal lobectomy were compared with postoperative seizure outcome. Postoperative seizure outcome was evaluated with a mean follow-up period of 6.1±0.6 years (range 5.2−7.2 years). Forty-two (89%) of the 47 patients achieved a good postoperative seizure outcome (Engel class I or II). All patients had hypometabolism in the temporal cortex ipsilateral to the epileptogenic region on FDG PET scans. Fourteen (78%) of the 18 patients with hypometabolism only in the ipsilateral temporal cortex were completely seizure free (Engel class Ia) after surgery. In contrast, five (45%) of the 11 patients with extratemporal cortical hypometabolism confined to the ipsilateral cerebral hemisphere and only four (22%) of the 18 patients with hypometabolism in the contralateral cerebral cortex were completely seizure free after surgery. The postoperative seizure-free rates were significantly different across the three groups of patients with different cortical metabolic patterns (P<0.005). Furthermore, all of the nine patients with a non-class I outcome (Engel class II−IV) had extratemporal (including contralateral temporal) cortical hypometabolism. Thalamic hypometabolism was noted in 20 (43%) of the 47 patients (ipsilateral in 12, bilateral in 8). Sixteen (59%) of the 27 patients with normal thalamic metabolism were completely seizure free after surgery, while only seven (35%) of the 20 patients with thalamic hypometabolism became completely seizure free (P<0.05). Multivariate analysis revealed that among variables including clinical, EEG, magnetic resonance imaging, pathological and FDG PET metabolic findings, only cortical metabolic pattern was an independent factor for the prediction of postoperative seizure outcome (P<0.005). It is concluded that extratemporal cortical hypometabolism outside the seizure focus, in particular hypometabolism in the contralateral cerebral cortex, may be associated with a poorer postoperative seizure outcome in TLE and may represent underlying pathology that is potentially epileptogenic. Thalamic hypometabolism, which was associated, but not independently, with a higher likelihood of postoperative seizures, may be secondary to extratemporal or temporal pathology.
Planar embedded pick-up coil sensor for power electronic modules

This paper proposes a planar embedded structure pick-up coil current sensor for integrated power electronic modules technology. It has compact size, excellent linearity, stability, noise immunity and wide bandwidth without adding significant losses or parasitics. Preliminary test results and discussions are presented in this paper.
Neuromuscular adaptations to 4 weeks of intensive drop jump training in well-trained athletes

This study examined the effects of 4 weeks of intensive drop jump training in well-trained athletes on jumping performance and underlying changes in biomechanics and neuromuscular adaptations. Nine well-trained athletes at high national competition level within sprinting and jumping disciplines participated in the study. The training was supervised and augmented feedback on performance was used to ensure maximal training intensity. The drop jumps were performed with minimal contact time and maximal jumping height. Assessment of performance during training showed effects of motor learning. Before and after the training intervention maximal isometric muscle strength, the biomechanics, muscle activity pattern of the lower extremities and the soleus H-reflex and V-wave during drop jumping were measured. Maximal jump height and performance index (PI) defined as jumping height divided by contact time improved significantly by 11.9% (P = 0.024) and 16.2% (P = 0.009), respectively. Combined ankle and knee joint peak power was significantly increased by 7% after training (P = 0.047). The preactivity in the soleus muscle decreased 16% (P = 0.015). The soleus H-reflex was unchanged after training, while the soleus V-wave increased significantly at 45 msec after touchdown. This may indicate an increased drive to the α-motor neuron pool following training. Muscle strength parameters were unaffected by the training. The results demonstrate that 4 weeks of intensive drop jump training can improve jumping performance also in well-trained athletes without concomitant changes in muscle strength. It is suggested that the behavioral improvement is primarily due to neural factors regulating the activation pattern controlling the drop jump movement.
A new mathematical representation of Game Theory II

In another paper with the same name[1], we proposed a new representation of Game Theory, but most results are given by specific examples and argument. In this paper, we try to prove the conclusions as far as we can, including a proof of equivalence between the new representation and the traditional Game Theory, and a proof of Classical Nash Theorem in the new representation. And it also gives manipulation definition of quantum game and a proof of the equivalence between this definition and the general abstract representation. A Quantum Nash Proposition is proposed but without a general proof. Then, some comparison between Nash Equilibrium (NE) and the pseudo-dynamical equilibrium (PDE) is discussed. At last, we investigate the possibility that whether such representation leads to truly Quantum Game, and whether such a new representation is helpful to Classical Game, as an answer to the questions in [2]. Some discussion on continuous-strategy games are also included.
Effect of Extended-Release Niacin/Laropiprant Combination on Plasma Adiponectin and Insulin Resistance in Chinese Patients with Dyslipidaemia

OBJECTIVES
This study examined whether the increase of adiponectin associated with extended-release (ER) niacin/laropiprant combination attenuates the adverse effect of niacin on glucose and insulin resistance in Hong Kong Chinese patients with dyslipidaemia.


METHODS
Patients (N = 121) were treated with ER niacin/laropiprant 1 g/20 mg for 4 weeks and then the dose was doubled for an additional 8 weeks. Measurements of fasting lipids, glucose, insulin, and adiponectin were performed at baseline and during the study.


RESULTS
There were significant (P < 0.001) increases in glucose (9.4 ± 13.1%), insulin (70.2 ± 91.0%), HOMA-IR (87.8 ± 103.9%), and adiponectin (169.3 ± 111.6%). The increase in adiponectin was significantly associated with increase in glucose (r = 0.221, P < 0.05), insulin (r = 0.184, P < 0.05), and HOMA-IR (r = 0.237, P < 0.01) and the association remained significant after adjustment for changes in body weight or body fat mass.


CONCLUSION
Treatment with ER niacin/laropiprant led to a significant increase in adiponectin levels but worsening of glucose levels and insulin resistance, and the increase in adiponectin and insulin resistance were correlated suggesting the increase in adiponectin did not ameliorate the deterioration in insulin resistance. Clinical trial is registered with number on WHO-ICTRP: ChiCTR-ONC-10001038.
The aNALoGuE Challenge: Non Aligned Language GEneration

We propose a shared task based on recent advances in learning to generate natural language from meaning representations using semantically unaligned data. The aNALoGuE challenge aims to evaluate and compare recent corpus-based methods with respect to their scalability to data size and target complexity, as well as to assess predictive quality of automatic evaluation metrics.
SAD: web session anomaly detection based on parameter estimation

Web attacks are too numerous in numbers and serious in potential consequences for modern society to tolerate. Unfortunately, current generation signature-based intrusion detection systems (IDS) are inadequate, and security techniques such as firewalls or access control mechanisms do not work well when trying to secure web services. In this paper, we empirically demonstrate that the Bayesian parameter estimation method is effective in analyzing web logs and detecting anomalous sessions. When web attacks were simulated with Whisker software, Snort, a well-known IDS based on misuse detection, caught only slightly more than one third of web attacks. Our technique, session anomaly detection (SAD), on the other hand, detected nearly all such attacks without having to rely on attack signatures at all. SAD works by first developing normal usage profile and comparing the web logs, as they are generated, against the expected frequencies. Our research indicates that SAD has the potential of detecting previously unknown web attacks and that the proposed approach would play a key role in developing an integrated environment to provide secure and reliable web services. a 2004 Elsevier Ltd. All rights reserved. KEYWORDS
Two-Stage Ant Colony Optimization for Solving the Traveling Salesman Problem

In this paper, a multilevel approach of Ant Colony Optimization to solve the Traveling Salesman Problem is introduced. The basic idea is to split the heuristic search performed by ants into two stages; in this case we use both the Ant System and Ant Colony System algorithms. Also, the effect of using local search was analyzed. We have studied the performance of this new algorithm for several Traveling Salesman Problem instances. Experimental results obtained conclude that the Two-Stage approach significantly improves the Ant System and Ant Colony System in terms of the computation time needed.
An optimal current vector control for synchronous reluctance motors incorporating field weakening

In this paper, a new approach to the synchronous reluctance motor control that ensures the production of maximum torque over the entire field weakening region is presented. In other words, this paper presents an optimal control scheme for wide speed range operation of synchronous reluctance motor drives, where current vector is directly controlled. The proposed scheme possesses some attractive features when compared to the conventional current-controlled drives. The scheme incorporates optimal control strategies, such as the maximum torque per ampere operation in constant torque region and maximum torque per flux operation in field-weakening region, and operates the drive within the voltage and current limits of the motor/inverter. The control scheme has been verified by simulation tests with a prototype synchronous reluctance motor.
The effectiveness of individual placement and support for people with mental illness new on social benefits: a study protocol

BACKGROUND
In Switzerland, people with a severe mental illness and unable to work receive disability benefits ('IV-pension'). Once they are granted these benefits, the chances to regain competitive employment are usually small. However, previous studies have shown that individual placement and support (IPS) supports a successful reintegration into competitive employment. This study focuses on the integration of newly appointed IV-pensioners, who have received an IV-pension for less than a year.


METHOD/DESIGN
The present pilot project ZHEPP (Zürcher Eingliederungs-Pilot Projekt; engl.: Zurich integration pilot project) is a randomized controlled trial (RCT). The 250 participants will be randomized to either the intervention or the control group. The intervention group receives support of a job coach according to the approach of IPS. Participants in the control group do not receive IPS support. Participation takes a total of two years for each participant. Each group is interviewed every six months (T0-T4). A two-factor analysis of variance will be conducted with the two factors group (intervention versus control group) and outcome (employment yes/no). The main criterion of the two-factor analysis will be the number of competitive employment contracts in each group.


DISCUSSION
This study will focus on the impact of IPS on new IV-pensioners and aims to identify predictors for a successful integration. Furthermore, we will examine the effect of IPS on stigma variables and recovery orientation.


TRIAL REGISTRATION
ISRCTN54951166.
Recent Advances in Fabrication and Characterization of Graphene-Polymer Nanocomposites

Graphene has attracted considerable interest over recent years due to its intrinsic mechanical, thermal and electrical properties. Incorporation of small quantity of graphene fillers into polymer can create novel nanocomposites with improved structural and functional properties. This review introduced the recent progress in fabrication, properties and potential applications of graphene-polymer composites. Recent research clearly confirmed that graphene-polymer nanocomposites are promising materials with applications ranging from transportation, biomedical systems, sensors, electrodes for solar cells and electromagnetic interference. In addition to graphene-polymer nanocomposites, this article also introduced the synergistic effects of hybrid graphene-carbon nanotubes (CNTs) on the properties of composites. Finally, some technical problems associated with the development of these nanocomposites are discussed.
Surface displacements and source parameters of the 2003 Bam ( Iran ) earthquake from Envisat advanced synthetic aperture radar imagery

[1] The Mw 6.6, 26 December 2003 Bam (Iran) earthquake was one of the first earthquakes for which Envisat advanced synthetic aperture radar (ASAR) data were available. Using interferograms and azimuth offsets from ascending and descending tracks, we construct a three-dimensional displacement field of the deformation due to the earthquake. Elastic dislocation modeling shows that the observed deformation pattern cannot be explained by slip on a single planar fault, which significantly underestimates eastward and upward motions SE of Bam. We find that the deformation pattern observed can be best explained by slip on two subparallel faults. Eighty-five percent of moment release occurred on a previously unknown strike-slip fault running into the center of Bam, with peak slip of over 2 m occurring at a depth of 5 km. The remainder occurred as a combination of strike-slip and thrusting motion on a southward extension of the previously mapped Bam Fault 5 km to the east.
Mobile augmented reality, an advanced tool for the construction sector

Augmented reality is nowadays a novel technology that is acquiring great relevancy as a research area. This technology complements the perception and interaction with the real world and allows placing the user in a real environment augmented with additional information generated by computer. Throughout last years it is increasing the interest and the results reached in the technologies of augmented reality on desktop environments. However there are numerous environments of application of these technologies that require mobility of the user, need of access to the information at any time and any place, in these cases there becomes necessary the utilization of mobile devices. Construction Sector is a clear example. The development of mobile computing solutions is crucial in construction sites. The permanent change of the site (workers, activities, work place, etc.) implies that users need to get permanently updated information. Mobile computing solutions make this information available without reducing or disturbing the mobility and agility of the users. In this paper we present the mobile augmented reality as an advanced and innovative tool for the construction sector. This technology has a high potential to achieve more sustainability, profitability and higher quality level in this sector. It is structured in two main sections. An initial one that analyses the current status of the augmented reality technologies using mobile devices and describes the benefits provided by these technologies, the most recent challenges achieved, the novel applications and the problems not yet solved. And a second one that analyses the potential applications of the mobile augmented reality in the construction sector and describes a scenario in which the use of mobile computing solutions makes possible to increase efficiency and safety in construction sites.
User trends modeling for a content-based recommender system

Recommender systems have been developed to overcome the information overload problem by retrieving the most relevant resources. Constructing an appropriate model to estimate the user interests is the major task of recommender systems. The profile matching and latent factors are two main approaches for user modeling. Although a notion of timestamps has already been applied to address the temporary nature of recommender systems, the evolutionary behavior of such systems is less studied. In this paper, we introduce the concept of trend to capture the interests of user in selecting items among different group of similar items. The trend based user model is constructed by incorporating user profile into a new extension of Distance Dependent Chines Restaurant Process (dd-CRP). dd-CRP which is a Bayesian Nonparametric model, provides a framework for constructing an evolutionary user model that captures the dynamics of user interests. We evaluate the proposed method using a real-world data-set that contains news tweets of three news agencies (New York Times, BBC and Associated Press). The experimental results and comparisons show the superior recommendation accuracy of the proposed approach, and its ability to effectively evolve over time. ∗Corresponding author at: Faculty of Computer Engineering and Information Technology, Shahrood University of Technology, P.O. Box 316, Shahrood, Iran. Tel/Fax: +98(23) 32300251. Email addresses: rc_bagher@yahoo.com (Bagher Rahimpour Cami), h.hassanpour@shahroodut.ac.ir (Hamid Hassanpour ), hmashayekhi@shahroodut.ac.ir (Hoda Mashayekhi) Preprint submitted to Expert Systems with Applications June 13, 2017
AN IMPROVED ANT COLONY SYSTEM ALGORITHM FOR THE VEHICLE ROUTING PROBLEM

The vehicle routing problem (VRP), a well-known combinatorial optimization problem, holds a central place in logistics management. Many meta-heuristic approaches like Simulated Annealing (SA), Genetic Algorithms (GA), Tabu Search (TS), and Ant Colony Optimization (ACO) have been proposed to solve VRP. Ant Algorithm is a distributed meta-heuristic approach that has been applied to various combinatorial optimization problems, including traveling salesman problem, quadratic assignment problem. In this research, we proposed an improved ant colony system (IACS) algorithm that possesses a new state transition rule, a new pheromone updating rule and diverse local search approaches. The computational results on 14 VRP benchmark problems show that our IACS yields better solutions than those of other ant algorithms in the literature and is competitive with other meta-heuristic approaches in terms of solution quality.
CORPORATE GOVERNANCE OF BANKS: A SURVEY

This paper reviews the empirical literature on the corporate governance of banks. We start by highlighting the main differences between banks and non-financial firms and focus on three characteristics which make banks special: (i) regul ation, (ii) the capital structure of banks, and (iii) the complexity and opacity of their business and structure. Next, we discuss the characteristics of corporate governance in banks an d how they differ from the governance of non-financial firms. We then review the evidence on three governance mechanisms: (i) boards, (ii) ownership structures, and (iii) execut ive compensation. Our review suggests that some of the empirical regularities found in the lit rature on corporate governance of nonfinancial institutions, such as the positive (negat ive) association between board independence (size) and performance, do not hold for banks. Also , existing work provides less than conclusive results regarding the relation between d ifferent governance mechanisms and various measures for banks’ performance. We discuss potential explanations for these mixed results. JEL classification: G21, G34, G35
EteRNA-RL : Using reinforcement learning to design RNA secondary structures

We use reinforcement learning to target the task of designing ribonucleic acid (RNA) sequences that fold into target multi-dimensional structures, which has broad applications in biology. Although we do not successfully solve the complete task, we demonstrate that it is possible to train an agent that gains some level of ‘intuition’ about the problem.
Cohort Profile: A prospective cohort study of objective physical and cognitive capability and visual health in an ageing population of men and women in Norfolk (EPIC-Norfolk 3)

The European Prospective Investigation of Cancer (EPIC) is a 10-country collaborative study in which EPIC-Norfolk is one of the UK centres. EPIC-Norfolk examined 25 639 men and women resident in East Anglia (aged 40-79 years), between 1993 and 1997. The EPIC collaboration was set up to examine the dietary determinants of cancer, but the remit in the EPIC-Norfolk cohort was broadened from the outset to include determinants of other health conditions and chronic diseases. EPIC-Norfolk completed a third round of health examinations (EPIC-Norfolk 3 or 3HC) in December 2011, on 8623 participants in the age range 48-92 years. EPIC-Norfolk focused on objective measures of cognitive function, physical capability and visual health, adapting this existing mid-life cohort to the current need to investigate healthy and independent living for ageing societies. With a wealth of longitudinal data and a biobank (including DNA) collected at up to three separate time points, EPIC-Norfolk offers the unique opportunity to investigate the association of lifestyle and biological factors, including genetic exposures, with a range of health outcomes in middle and later life. Information for data access can be found on the study website, details as given in this cohort profile.
Symmetric Key Cryptography: Current Trends

The present day & age is the time when Information has become the most powerful commodity & communication online or through wireless networks has become an integral part of our lives. The data being transmitted is prone to various passive and active attacks. Thus, information security is in all likelihood the most formidable part of correspondence today. The solution to this problem is the use of cryptography techniques. Cryptography is the art and science of secret writing that changes the message from its typical structure into a garbled structure. The point of this paper is to portray an expansive review of Encryption & Decryption & provide an involved review of the various Symmetric Key Cryptography algorithms. Keywords— Cryptography, Encryption, Decryption, Survey, Symmetric Key
A High-Precision On-Chip Path Delay Measurement Architecture

In this paper, we present a novel on-chip path delay measurement architecture for efficiently detecting and debugging of delay faults in the fabricated integrated circuits. Several delay stages are employed in the proposed on-chip path delay measurement (OCDM) circuit, whose delay ranges are increased by a factor of two gradually from the last to the first delay stage. Thus, the proposed OCDM circuit can achieve a large delay measurement range with a small quantity of delay stages. A calibration circuit is incorporated into the proposed on-chip path delay measurement technique to calibrate the delay range of the delay stage under process variations. In addition, delay calibration for import lines is conducted to improve the precision of path delay measurement. Experimental results are presented to validate the proposed path delay measurement architecture.