Miracle-dz/UniFAR-FTUs huggingface dataset:
Recurrent Circuits in Layer II of Medial Entorhinal Cortex in a Model of Temporal Lobe Epilepsy

Patients and laboratory animal models of temporal lobe epilepsy display loss of layer III pyramidal neurons in medial entorhinal cortex and hyperexcitability and hypersynchrony of less vulnerable layer II stellate cells. We sought to test the hypothesis that loss of layer III pyramidal neurons triggers synaptic reorganization and formation of recurrent, excitatory synapses among layer II stellate cells in epileptic pilocarpine-treated rats. Laser-scanning photo-uncaging of glutamate focally activated neurons in layer II while excitatory synaptic responses were recorded in stellate cells. Photostimulation revealed previously unidentified, functional, recurrent, excitatory synapses between layer II stellate cells in control animals. Contrary to the hypothesis, however, control and epileptic rats displayed similar levels of recurrent excitation. Recently, hyperexcitability of layer II stellate cells has been attributed, at least in part, to loss of GABAergic interneurons and inhibitory synaptic input. To evaluate recurrent inhibitory circuits in layer II, we focally photostimulated interneurons while recording inhibitory synaptic responses in stellate cells. IPSCs were evoked more than five times more frequently in slices from control versus epileptic animals. These findings suggest that in this model of temporal lobe epilepsy, reduced recurrent inhibition contributes to layer II stellate cell hyperexcitability and hypersynchrony, but increased recurrent excitation does not.
A Hybrid Privacy Preserving Approach in Data Mining

Data mining algorithms extracts the unknown interesting patterns from large collection of data set. Some clandestine or secret information may be exposed as part of the data mining process. In this paper we put forward a hybrid approach for achieving privacy during the mining procedure. The first step is to sanitize the original data using a geometrical data transformation. In the second stage this sanitized data is normalized using a min-max normalization approach before publishing. For verifying the experimental results we have used k- means clustering algorithm and it is evident from our results that this hybrid approach preserves privacy and also ensures accuracy.
Software Quality achieved through Coverage Metrics in Database Testing

Code coverage is often deﬁned as a measure of the degree to which the source code of a program has been tested. Various metrics for measuring code coverage exist.The number of defects is an important measure of software quality which is widely used in industry. Software test coverage tools can easily and accurately measure the extent to which the software has been exercised . Both testing time and test coverage can be used as measures to model the defect ﬁnding process. However test coverage is a more direct measure of test effectiveness and can be expected to correlate better with the number of defects found.In majority of software applications,Database systems play an important role. In literature there is good amount of work done in testing database applications [3, 5, and 6]. The levels of quality, maintainability, testability,and stability of software can be improved by performing measures of the testing process and calculating its metrics. In most of the applications coverage metrics plays a major role in predicting the quality of the software.The accuracy of database testing is improved by calculating the coverage percentage of the frequently used SELECT statements.This paper proposes two algorithms for measuring coverage of the SQL queries. An analysis of the two algorithms also performed as to which metric is better so that it would help the test manager to take effective decisions.Our work in this paper details on importance of coverage metrics required to achieve quality of a database application and presents the various coverage metrics that are used for achieving the testing efﬁciency of a database application. We have considered six different database applications and calculated the various coverage metrics thereby achieving quality and efﬁciency in testing.
Mobile-CLOUD-mobile: Is shifting of load intelligently possible when Barriers Encounter?

Mobile phone is no longer a piece of technology for communication only; it turns into a computation, context-aware, intelligent, and multi-media entertainment device. Capable of high performance computing, downloading heavy applications in an instance, watching TV, listening to streamed music, and even playing high quality interactive games, programmable, embedded with powerful sensors. Further capable of enabling personal, group, and community-scale sensing applications. With this influenced consumers of mobile applications are growing fast with dynamic requirements. The most important concept of mobile application is anywhere 24X7 accesses. Mobile phones enable new rich user experiences, limited with hardware in terms of computation, memory, and energy reserves; thus limiting potential applications. However these limitations can be more effectively exceeded by implementing the growing service-centric technology and offloading the execution of high performance processing into the cloud intelligently. The promising feature of cloud is service on-demand, over the internet to all IT needs on best economic model. Research is on and large IT organizations consider cloud services become an ideal alternative and has the potential to offer everything as a service i.e. XaaS. Our research interest (Novel Idea) is: shifting of mobile phone processing load to cloud at barriers, and resumed in to the phone intelligently when barrier ends. Specifically, when a heavy file is downloading and intensive computation is offloading. In this paper our research study focuses this novel idea more elaborately.
Pain Recognition Using Artificial Neural Network

Facial expressions are a key index of emotion. To make use of the information afforded by facial expression for emotion science and clinical practice, reliable, valid, and efficient methods of measurement are critical. Enabling computer systems to recognize facial expressions and infer emotions from them is a challenging research topic. In this paper, we present an efficient video analysis technique for recognition of a specific expression, pain, from human faces. We employ an automatic face detector and facial feature tracker for face detection and feature extraction respectively. The face detector uses skin color modeling approach. For pain recognition, location and shape features of the detected faces are computed. These features are then used as inputs to the artificial neural network which uses standard error backpropagation algorithm for classification of painful and painless faces
Artificial neural networks for in-silico experiments on perception

Here the potential use of artificial neural networks for the purpose of understanding the biological processes behind perception is investigated. Current work in computer vision is surveyed focusing on methods to determine how a neural network utilizes it's resources. Analogies between feature detectors in deep neural networks and signaling pathways in the human brain are made. With these analogies in mind, procedures are outlined for experiments on perception using the recurrent temporal restricted Boltzmann machine as an example. The potential use of these experiments to help explain disorders of human perception is then described.
Motion Prediction Based on Temporal Layering for Layered Video Coding

| In this paper, we proposed a video coding technique which adopts motion estimation and compensation with temporal layering to provide temporal scala-bility. In this proposed video coding scheme, motion estimation is performed over temporal hierarchy of frames. Various motion estimation intervals of diierent layers lead to storage of multiple frames as references. These multiple references are stored and managed in a special buuer. The proposed scheme is able to provide a multi-layered bitstream for heterogeneous environments as well as to further reduce the temporal redundancy and thus admit a higher compression ratio than replenishment scheme.
A cross‐language study of range of voice onset time in the perception of initial stop voicing

A series of experiments was carried out to compare the extent of range effects in the phonetic categorization of voice onset time (VOT) by speakers of Polish and of English, two languages which contrast different VOT categories. Results indicate that Poles are more prone to range effects than are Americans. For acoustic continua with appreciable numbers of prevoiced stimuli, monolingual Polish speakers’ perceptual boundaries fall in the gap between their production categories. For ranges of VOT which include few prevoiced stimuli, their boundaries are substantially shifted. Americans show no shifts of this type, although they do show some small shifts. It was determined that the much smaller shifts shown by the American subjects were not due to expectations about the test. Results are interpreted in terms of the different VOT contrasts involved: their spacing along the VOT continuum, and their psychophysical basis.
Insight and recovery and the stigma of mental illness - analysis of the phenomenon of insight in schizophrenia and its correlations with the processes of stigma and self-stigma

Abstract Does better insight associated with the process of recovery mean a stronger sense of mental illness stigma? This article presents the relationship between a multidimensional construct, which is the insight and the phenomena of stigma and self-stigma of patients diagnosed with schizophrenia. It is well known that the term insight contains: a sense of illness, the patient's attitude to its symptoms, explanation of the causes of the illness, attitude to the rationale of treatment and awareness of the risk of relapse. On the other hand, self-stigma occurs when the patient internalizes and refers to himself/herselfnegative and stigmatizing social attitudes, conditioned by the presence of conventionalbeliefs, strengthened by the media, and this weakens the process of recovery. How much does good insight strengthen the patient on the way to fuller social functioning, and how much does it imprint stigma of mental illness and weaken its positionin society? The authors of the paper are discussing the subject of insight and stigma from the patient's perspective, over the patient’s attitude towards the diagnosis of schizophrenia, the process of recovery and the aspect of hope - important in recovery. These study of construct insight shows that the relationship insight-recovery-stigma is a multi-dimensional plane, dependent on various factors, that needs constant deepening and complementing with further research.
Assisted ventilation for heart failure patients with Cheyne-Stokes respiration

Patients with chronic congestive cardiac failure (CCF) frequently suffer from central sleep apnoea syndrome (CSAS). Continuous positive airway pressure (CPAP) has been suggested as a treatment. The authors hypothesised that bilevel ventilation might be easier to initiate and superior to CPAP at correcting the sleep-related abnormality of breathing in patients with CCF. After excluding those with a history suggestive of obstructive sleep apnoea, 35 patients with CCF (left ventricular ejection fraction <35%) were screened with overnight oximetry and the diagnosis of CSAS was established with polysomnography in 18. Two 14-day cycles of CPAP (0.85 kPa (8.5 mbar)) or bilevel ventilation (0.85/0.3 kPa (8.5/3 mbar)) in random order, were compared in a crossover study. Sixteen patients (13 males), mean age 62.0±7.4 yrs completed the study. The pretreatment apnoea/hypopnoea index of 26.7±10.7 was significantly reduced by CPAP and bilevel ventilation to 7.7±5.6 and 6.5±6.6, respectively. The arousal index fell from 31.1±10.0 per hour of sleep to 15.7±5.4 and 16.4±6.9, respectively. Significant and equal improvements with CPAP and bilevel ventilation were found for sleep quality, daytime fatigue, circulation time and New York Heart Association class. The authors conclude that continuous positive airway pressure and bilevel ventilation equally and effectively improve Cheyne-Stokes respiration in patients with congestive cardiac failure.
Interaction in language based system level design using an advanced compiler generator environment

Computer-aided synthesis of digital circuits from behavioural level specifications offers an effective way to deal with the increasing complexity of digital hardware design. A high-level synthesis tool transforms an abstract algorithmic description into a detailed register transfer level implementation. Even though considerable research has taken place, regarding high-level synthesis, practical implementations are just emerging. This happens due to the fact that designers demand interaction at both the specification and implementation level. This paper describes an efficient implementation of an original idea, for the design of a grammar based interactive design environment, which allows designers to supplement high-level synthesis optimizations and set constraints among the operators in the textual algorithmic description to meet their implementation preferences. The suggested methodology raises the feasibility for high level design space exploration by enabling synthesis results to be directly modifiable by the user.
Read Stability and Write Ability Tradeoff for 6T SRAM Cells in Double-Gate CMOS

This paper presents a comparative study of sub-32 nm CMOS 6T SRAM cells in fully depleted (FD) double-gate (DG) silicon-on-insulator (SOI) technology with planar self-aligned gates. Both independent- and connected- gate operation is analysed by modulating the drain current with both front and back gate voltages. The four studied cells take advantage of their transistor back gates to improve stability while optimizing write operation. These are the two key criteria used in the presented sizing method. The results of read-, retention- and write margins and area are displayed for all cells in the presence of process variability.
The MFF Singular Vectors in Topological Conformal Theories

It is argued that singular vectors of the topological conformal (twisted $N=2$) algebra are identical with singular vectors of the $sl(2)$ Kac--Moody algebra. An arbitrary matter theory can be dressed by additional fields to make up a representation of either the $sl(2)$ current algebra or the topological conformal algebra. The relation between the two constructions is equivalent to the Kazama--Suzuki realisation of a topological conformal theory as $sl(2)\oplus u(1)/u(1)$. The Malikov--Feigin--Fuchs (MFF) formula for the $sl(2)$ singular vectors translates into a general expression for topological singular vectors. The MFF/topological singular states are observed to vanish in Witten's free-field construction of the (twisted) $N=2$ algebra, derived from the Landau--Ginzburg formalism.
Exceptional single strand DNA word symmetry: analysis of evolutionary potentialities

Some previous studies point to the extension of Chargaff’s second rule (the phenomenon of symmetry) to words of large length. However, in random sequences generated by an independent symbol model where the probability of occurrence of complementary nucleotides is the same, we expect that the phenomenon of symmetry holds for all word lengths. In this work, we measure the symmetry above that expected in independence contexts (exceptional symmetry), for several organisms: viruses; archaea; bacteria; eukaryotes. We also create 27 control scenarios with the same length of each genome under study. The results for each organism were compared to those obtained in control scenarios. We created a new organism genomic signature consisting of a vector of the measures of exceptional symmetry for words of lengths 1 through 12. We show that the proposed signature is able to capture essential relationships between organisms.
A self-adaptive improved μ-Tree index structure for flash-based DBMS

As a pure electronic device the flash memory has many outstanding features, such as higher read-write speed, lower noise and better shock-resistance. Flash-based DBMS soon becomes the area that attracts the most attention. A Flash-based DBMS FDBMS1.0 is implemented by us. The index is very important to improve the efficiency of flash-based DBMS, and researchers have put forward many index algorithm about it, among them, μ-Tree is a higher efficiency index. The μ-Tree is improvement of B+-tree for flash memory. One of great strengths of μ-Tree is the ability to remove the phenomenon of “wandering trees” that bring by traditional B+ Tree in flash memory. There is a scent of trouble to deal with update of index and the maintenance of tree's structure for intensive update or small record update operations. This paper proposes an improved μ-Tree structure to reduce cost in update index and the maintenance of tree's structure. The update-area and self-adaptive mechanism is utilized in the improved μ-Tree structure. The experimental results show that our method is effective.
Understanding BitTorrent Download Performance

We conducted in this paper an experimental study on BitTorrent (BT) download performance. Although BT has been widely deployed, many important features about it are not clear yet. For example, what parameter configuration is optimal for its download performance and to what extent is its incentive mechanism efficient in preventing free-riding. We focused our study on two aspects in this paper: the impact of maximum concurrent upload number on download speed; the efficiency of BT's incentive mechanism on fairness and download performance in the face of free-riders. Our results reveal that there is not an uniform value for the optimal maximum concurrent upload number, and that BT's incentive mechanism is robust to free-riders at a large scale, however seed's upload capacity should be good engineered and BT's incentive mechanism deserve to be improved in some aspects, e.g., optimistic unchoke.
Spatio-temporal action localization for human action recognition in large dataset

Human action recognition has drawn much attention in the field of video analysis. In this paper, we develop a human action detection and recognition process based on the tracking of Interest Points (IP) trajectory. A pre-processing step that performs spatio-temporal action detection is proposed. This step uses optical flow along with dense speed-up-robust-features (SURF) in order to detect and track moving humans in moving fields of view. The video description step is based on a fusion process that combines displacement and spatio-temporal descriptors. Experiments are carried out on the big data-set UCF-101. Experimental results reveal that the proposed techniques achieve better performances compared to many existing state-of-the-art action recognition approaches.
Application of inkjet printing to tissue engineering

Recent advances in organ printing technology for applications relating to medical interventions and organ replacement are described. Organ printing refers to the placement of various cell types into a soft scaffold fabricated according to a computer‐aided design template using a single device. Computer aided scaffold topology design has recently gained attention as a viable option to achieve function and mass transport requirements within tissue engineering scaffolds. An exciting advance pioneered in our laboratory is that of simultaneous printing of cells and biomaterials, which allows precise placement of cells and proteins within 3‐D hydrogel structures. This advance raises the possibility of spatially controlling not only the scaffold structure, but also the type of tissue that can be grown within the scaffold and the thickness of the tissue as capillaries and vessels could be constructed within the scaffolds. Here we summarize recent advances in printing cells and materials using the same device.
Coverage overlapping problems in applications of IEEE 802.15.4 wireless sensor networks

IEEE 802.15. 4 standard is a relatively new standard designed for low power low data rate wireless sensor networks (WSN), which has a wide range of applications, e.g., environment monitoring, e-health, home and industry automation. In this paper, we investigate the problems of hidden devices in coverage overlapped IEEE 802.15. 4 WSNs, which is likely to arise when multiple 802.15. 4 WSNs are deployed closely and independently. We consider a typical scenario of two 802.15. 4 WSNs with partial coverage overlapping and propose a Markov-chain based analytical model to reveal the performance degradation due to the hidden devices from the coverage overlapping. Impacts of the hidden devices and network sleeping modes on saturated throughput and energy consumption are modeled. The analytic model is verified by simulations, which can provide the insights to network design and planning when multiple 802.15. 4 WSNs are deployed closely.
CEO-Kommunikation auf Twitter. Differenzierung des Nutzungsverhaltens unter Berücksichtigung von Repräsentation und Reputation

Die Kommunikationsabteilung von Opel positioniert den neuen CEO Karl-Thomas Neumann als obersten Reputationsmanager und macht ihn mit einem persönlichen Twitter-Account zum Gesicht der Automobilmarke im Social Web. Dieser Satz beinhaltet die wichtigsten theoretischen Aspekte der hier vorgestellten Untersuchung: Unternehmenskommunikation als organisa‐ tionale Ausprägungsform von Public Relations, Reputation als Zielgröße von Unternehmenskommunikation, die Personalisierung von Unterneh‐ menskommunikation auf CEOs als strategische Option sowie das Social Web als Raum für Interaktion im Internet. Unter großer Beachtung durch die Fachpresse begannen 2013 zwei gro‐ ße deutsche Unternehmen, ihre Kommunikationsstrategie zu personalisie‐ ren. Dabei richteten sie für ihre Vorstandsvorsitzenden Twitter-Accounts ein. Bertelsmann ging mit Thomas Rabe an der Spitze die Aufgabe der di‐ gitalen Transformation des im 19. Jahrhundert gegründeten Traditionsun‐ ternehmens an. Der Tatsache, dass Rabe auf Twitter aktiv ist, wurde große symbolische Bedeutung für das Unternehmen zugesprochen (Kalt, 2014). Opel positionierte CEO Neumann als „Chief Reputation Officer“, um das gute Ansehen des Autoherstellers in der Öffentlichkeit wiederherzustellen und mit Stakeholdern über Twitter und andere Kommunikationskanäle auf Augenhöhe zu kommunizieren (Hamprecht, 2014). CEOs, die im Social Web kommunizierten, kannte die Fachwelt aus den Beispielen charismatischer Spitzenführungskräfte globaler Marken, wie Virgin-CEO Richard Branson und Hotelketten-Chef Bill Marriott, die als Twitterer und Blogger der Kommunikation ihrer Unternehmen ihre Stem‐ pel aufdrückten. Nicht nur das: Die Kommunikation des Topmanagements beeinflusst über die CEO-Reputation und die Unternehmensreputation sehr konkret die (immateriellen) Vermögenswerte des Unternehmens 1.
The LDL System Prototype

The logic data language (LDL) system provides a declarative logic-based language and integrates relational database and logic programming technologies so as to support advanced data and knowledge-based applications. A comprehensive overview of the system and a description of LDL language and the compilation techniques employed to translate LDL queries into target query execution plans on the stored data are presented. The architecture and runtime environment of the system and the optimization techniques employed in order to improve the performance and assure the safety of the compiled queries are given. The experience gained so far with the system and application areas where the LDL approach appears to be particularly effective are discussed. >