Miracle-dz/UniFAR-FTUs huggingface dataset:
A Cooperative Multi-Hop Clustering Protocol for Energy Saving of Mobile Devices

Wireless local area network (WLAN), or IEEE 802.11, has become a most popular because of its sufficient bandwidth and well-constructed infrastructures. But, a serious problem of WLAN is its considerable energy consumption. Mobile devices are driven by limited battery power, so it is essential to reduce the power consumption due to WLAN interface without degrading its performance. This can be achieved by using the co-existence of WLAN and Bluetooth in a single mobile platform to solve the power consumption problem in WLAN based communication systems. This work is based on Multi-Hop Clustering proposed to increase the life time of network. This protocol selects the cluster head considering three factors, maximum energy, the number of neighbouring nodes, and distance to the access point. In this paper, a cluster is a Bluetooth Personal Area Network (PAN), which consists of one cluster head and several regular nodes . The cluster head acts as gateway between the PAN and the WLAN and enabling the regular nodes to access the WLAN. This paper presents a Cooperative Multi-Hop Clustering Protocol , which dynamically reforms clusters according to the each nodes bandwidth requirement, energy use, and application type. This protocol does not require the modifications of existing wireless infrastructures. This protocol simulated for large network more than 200 nodes. But results demonstrate that, this approach is effective in reducing the power consumption of the WLAN.
The association of leisure activities in middle adulthood with cognitive performance in old age: Social capital mediates cognitive reserve effects.

One of the fundamental challenges for neuropsychological aging research is how to maintain and promote cognitive functioning in old age. Previous research revealed thatan active lifestyle, social participation, and emotional support during adulthood seem to be protective against cognitive decline in old age. However, up to now, a detailed examination of the interplay of these relations based on a broader variety of past activities and considering the individual’s available social capital is missing. The present study seeks to extend the literature by investigating the interactions of family based social capital as a mediator between the build-up of cognitive reserve (via the engagement in a broad variety of past leisure activities) and old age cognitive functioning in a large sample of older adults with a wide age range. A total of 2,788 older adults (aged 65–101 years) served as the sample for the present study. A test on verbal abilities, one on processing speed and one on cognitive flexibility were applied. In addition, individuals were retrospectively interviewed regarding their family network and regarding received and given support within it, as well as regarding 18 leisure activities (carried out at age 45). Present results suggest that network size as well as the given support within the family network mediate the relation between having an active lifestyle during middle adulthood and better cognitive functioning in old age. These findings are discussed with respect to models of cognitive reserve and cognitive aging.
Forecasting Job Placements of Economics Graduate Students

Each year, academic departments must decide which applicants to admit to their graduate program. Although departments try to maximize a complex set of objectives through their admissions process, one important consideration is the eventual job placement and professional success of their graduates. Research on predicting successful graduate students-however defined-from the pool of applicants is sparse, and in practice, economics departments are often forced to base admission decisions on ad hoc procedures, partial information, and intuition. In this article, we report on a statistical analysis of the determinants of success among more than 300 graduate students who applied for admission to one particular "top five" economics department. Graduate students' success was measured by the students' job placement nine years after they would have begun graduate study. This is obviously a narrow and incomplete measure of the success of graduate students (e.g., it excludes their teaching contributions), but it is a quantifiable dimension that many graduate programs care about. Although our results are relevant only for the pool of applicants to this particular graduate program, the application pool consisted of many, if not most, of the applicants to top Ph.D. economics programs in the United States, so the results could possibly be generalized beyond this one school. Our main findings were that, although there is considerable uncertainty in predicting which applicants will be placed in high-ranking jobs, the math Graduate Record Examination (GRE) score, economics GRE score, and ratings of the admissions committee are useful predictors of the applicants' subsequent job placement. Perhaps more surprising, a statistical model based on the quantifiable
Grief following miscarriage: a comprehensive review of the literature.

OBJECTIVE The literature exploring the relationship between miscarriage and grief is sparse. This paper summarizes the literature on grief subsequent to an early miscarriage to elucidate the nature, incidence, intensity, and duration of grief at this time and to identify potential moderators. METHODS An electronic search of the Medline and Psych Info databases was conducted. Studies were selected for inclusion if they related to early miscarriage, used a standardized measure to assess perinatal grief, and specified the assessment intervals employed. Qualitative studies were included when helpful to develop hypotheses. RESULTS Descriptions of grief following miscarriage are highly variable but tend to match descriptions of grief used to characterize other types of significant losses. A sizable percentage of women seem to experience a grief reaction, with the actual incidence of grief unclear. Suggestively, grief, when present, seems to be similar in intensity to grief after other types of major losses and is significantly less intense by about 6 months. Few conclusions can be drawn in regard to potential moderators of grief following a miscarriage. CONCLUSIONS Although additional research is clearly needed, guidelines for coping with grief following miscarriage can be based on the data available on coping with other significant types of losses. Given the range of potential meanings for this primarily prospective and symbolic loss, practitioners need to encourage patients to articulate the specific nature of their loss and assist in helping them concretize the experience.
Scale and shift invariant time/frequency representation using auditory statistics: Application to rhythm description

In this paper we propose two novel scale and shift-invariant time-frequency representations of the audio content. Scale-invariance is a desired property to describe the rhythm of an audio signal as it will allow to obtain the same representations for same rhythms played at different tempi. This property can be achieved by expressing the time-axis in log-scale, for example using the Scale Transform (ST). Since the frequency locations of the audio content are also important, we previously extended the ST to the Modulation Scale Spectrum (MSS). However, this MSS does not allow to represent the inter-relationship between the audio content existing in various frequency bands. To solve this issue, we propose here two novel representations. The first one is based on the 2D Scale Transform, the second on statistics (inspired by the auditory experiments of McDermott) that represent the interrelationship between the various frequency bands. We apply both representations to a task of rhythm class recognition and demonstrates their benefits. We show that the introduction of auditory statistics allows a large increase of the recognition results.
Ontology Development Methodology for Semantic Web Systems

Ontology is considered as backbone of every semantic web system. It formally describes data and descriptive knowledge of a domain in machine understandable form for automatic processing and interpreting. Some methodologies have been proposed for developing ontology for semantic web systems. Most of them are based on the ‘built and fixed’ approach. In that, first initial version of ontology is built and improved iteratively until domain requirements are satisfied. In this way the basic principles of software engineering are not followed properly. These methodologies mainly focus on data rather than the descriptive knowledge of domain. These methodologies mainly work on specification and implementation phases and design phase lacks in proper attention. Moreover the design and implementation phases of theses methodologies are difficult to identify and separate. In this paper we present a methodology for ontology development, which may overcome these weaknesses
Moderating Effect of Buyer-Supplier Trust on the Relationship between Outsourced Formal Contracts and Supplier Delivery Performance : An Empirical Study of Public Sector Procurement

This study examines the moderating effect of buyer-supplier trust on the relationship between outsourced formal contracts and supplier delivery performance in the domain of public sector procurement. In so doing, we extend the paradigm that formal contracts and relational governance mechanism function as complements rather than substitutes. Using a cross sectional data from a survey of 612 staff that are involved in managing outsourced contracts in Ugandan public sector, Structural Equation Modelling results support 10 of the 14 hypotheses thus, demonstrating the fundamental preposition of complementarity between formal contracts and relational governance mechanisms. Also, findings revealed that well-structured outsourced formal contracts have a significant positive influence on buyer-supplier trust and supplier delivery performance.However, the path coefficient for the interactioneffect between change characteristics and buyer-supplier trust was initially hypothesised to positively influence supplier delivery performance but did not.The use of case studies and additional surveys in future research might help to explain this phenomenon. Although the two constructs of buyer-supplier trust and supplier opportunism are robust and sufficiently represent the relational aspects, the multidimensional nature of relational practises can be investigated further. This study has managerial and policy implications that are also discussed in this paper.
MicroRNAs in B-cells: from normal differentiation to treatment of malignancies

MicroRNAs (miRNAs) are small non-coding RNAs that play important post-transcriptional regulatory roles in a wide range of biological processes. They are fundamental to the normal development of cells, and evidence suggests that the deregulation of specific miRNAs is involved in malignant transformation due to their function as oncogenes or tumor suppressors. We know that miRNAs are involved in the development of normal B-cells and that different B-cell subsets express specific miRNA profiles according to their degree of differentiation. B-cell-derived malignancies contain transcription signatures reminiscent of their cell of origin. Therefore, we believe that normal and malignant B-cells share features of regulatory networks controlling differentiation and the ability to respond to treatment. The involvement of miRNAs in these processes makes them good biomarker candidates. B-cell malignancies are highly prevalent, and the poor overall survival of patients with these malignancies demands an improvement in stratification according to prognosis and therapy response, wherein we believe miRNAs may be of great importance. We have critically reviewed the literature, and here we sum up the findings of miRNA studies in hematological cancers, from the development and progression of the disease to the response to treatment, with a particular emphasis on B-cell malignancies.
Contrast Pattern Mining with Gap Constraints for Peptide Folding Prediction

In this paper, we propose a peptide folding prediction method which discovers contrast patterns to differentiate and predict peptide folding classes. A contrast pattern is defined as a set of sequentially associated amino acids which frequently appear in one type of folding but significantly infrequent in other folding classes. Our hypothesis is that each type of peptide folding has its unique interaction patterns among peptide residues (amino acids). The role of contrast patterns is to act as signatures or features for prediction of a peptide’s folding type. For this purpose, we propose a two phase peptide folding prediction framework, where the first stage is to discover contrast patterns from different types of contrast datasets, followed by a learning process which uses all discovered patterns as features to build a supervised classifier for folding prediction. Experimental results on two benchmark protein datasets will indicate that the proposed framework can outperform simple secondary structure prediction based approaches for peptide folding prediction.
Formal analysis of pure-join model of chord using alloy

Chord is a popular structured peer-to-peer protocol. In this protocol a hash function is used to identify Nodes ID and data Keys. Therefore, it is possible that different nodes have the same ID; examining the features of this protocol under the condition in which different nodes may have the same ID is important. In this paper, using Alloy, we formally examine two features of Pure-Join model of Chord in such a condition: “Join preserves validity or not” and “The state of Allcycle can be reached with stabilize operation or not”. Our study shows that with high probability, Join preserves validity, and Chord cannot reach “Allcycle” state with stabilize operation in some cases.
FACTORS AFFECTING THE CHAIN LENGTH OF GROUP A STREPTOCOCCI

Minute amounts of M protein were detected in culture supernates of virulent Group A streptococci by type-specific inhibition of the long chain and the bactericidal tests for anti-M antibody. The amount of M protein that was detected by the inhibition of these biological systems was less than could be demonstrated by precipitation tests. All strains of streptococci rich in M protein which were studied formed long chains when grown in sufficient concentrations of anti-M antibody. Very low concentrations of anti-M antibody escaped detection by the long chain test when strains of excessive M protein content were employed. Under such conditions the bactericidal test detected anti-M antibody more sensitively than the long chain test owing to the smaller inoculum employed in the former method. The scission of streptococcal chains may be inhibited by union of antibodies with surface antigens other than M protein. Long chains were formed when M-negative, R-positive strains were grown in sera containing anti-R antibody.
The LIMA Multilingual Analyzer Made Free: FLOSS Resources Adaptation and Correction

At CEA LIST, we have decided to release our multilingual analyzer LIMA as Free software. As we were not proprietary of all the language resources used we had to select and adapt free ones in order to attain results good enough and equivalent to those obtained with our previous ones. For English and French, we found and adapted a full-form dictionary and an annotated corpus for learning part-of-speech tagging models.
Direct Torque Control of Permanent Magnet Synchronous Motor

: Direct torque control (DTC) is a method to control machine with utilizing torque and flux of motor controlled. In recent years Permanent Magnet synchronous motors (PMSMs) are used in many applications that require rapid torque response and high-performance operation. PMSM has no damper windings and excitation is provided by a permanent magnet instead of a field winding. The elimination of field coil, dc supply and slip rings reduce the motor loss and complexity. It is mathematically proven that the increase of electromagnetic torque in a permanent magnet motor is proportional to the increase of the angle between the stator and rotor flux linkages, and, therefore, the fast torque response can be obtained by adjusting the rotating speed of the stator flux linkage as fast as possible. This is achieved by using direct torque control (DTC) technique. This paper introduces the principle of space vector pulse width modulation (SVPWM) ,and closed loop speed control technique namely Direct Torque Control for Permanent Magnet Synchronous Motor Drive.
Speaker adaptation for hybrid MMI/connectionist speech-recognition systems

We present a new adaptation technique for our hybrid large vocabulary continuous speech recognition system. In most adaptation approaches the HMM parameters are reestimated. In our approach, however, we train a speaker independent continuous speech recognizer, then we keep the HMM parameters fixed and we train a second network, which transforms the features of the adaptation data to fit the HMM parameters. Thus, less parameters have to be estimated, and therefore this approach performs well even for a small number of adaptation data. With this approach we achieve relative improvements in recognition rates on the Wall Street Journal (WSJ) task of 16.5%.
Title Pharmacology of Cardiac Potassium Channels

Cardiac K channels are cardiomyocyte membrane proteins that regulate K ion flow across the cell membrane on the electrochemical gradient, and determine the resting membrane potential and the cardiac action potential morphology and duration. Several K channels have been well studied in the human heart. They include the transient outward K current Ito1, the ultra-rapidly delayed rectifier current IKur, the rapidly and slowly delayed rectifier currents IKr and IKs, the inward rectifier K current IK1, and ligand-gated K channels, including ATP-sensitive K current (IKATP) and acetylcholine-activated current (IKACh). Regional differences of K channel expression contribute to the variable morphologies and durations of cardiac action potentials from sinus node and atrial to ventricular myocytes, and different ventricular layers from endocardium and midmyocardium to epicardium. They also show different responses to endogenous regulators and/or pharmacological agents. K channels are well-known targets for developing novel antiarrhythmic drugs that can effectively prevent/inhibit cardiac arrhythmias. Especially atrial specific K channel currents (IKur and IKACh) are the targets for developing atrial-selective anti-atrial fibrillation drugs, which has been greatly progressed in recent years. This chapter concentrates on recent advances in intracellular signaling regulation and pharmacology of cardiac K channels under physiological and pathophysiological
Channel model for a power line communication medium in an LVDC distribution system

It has been shown that power line communication (PLC) in the high frequency (HF) band is a feasible data transmission method for a future smart grid concept - a low-voltage direct current (LVDC) distribution system. Furthermore, PLC is proposed as a basis of the data network architecture in the LVDC system. In the analysis of the communication channel characteristics and the design of the communication system, channel modeling plays an essential role. A PLC channel model in the LVDC system is presented and analyzed in this paper. The channel model is implemented with a circuit simulator, which provides several advantages for the modeling; for instance, channel characteristics can be analyzed and modeled both in the time and frequency domain. In this paper, the PLC channel gain (including signal attenuation in the power cable) in the LVDC system is modeled in the frequency domain. The channel model is verified by and compared with measurements carried out in the PLC channel in an LVDC laboratory system.
Load leveling and dispatchability of a medium voltage active feeder through battery energy storage systems: Formulation of the control problem and experimental validation

This paper proposes and experimentally validates a control algorithm for a grid-connected battery energy storage system (BESS) to level the consumption of a group of prosumers and dispatch their aggregated operation. The control strategy is layered in a two-stage procedure: day-ahead and intra-day operation. During day-ahead operation, the load leveled power consumption profile is determined by applying a scenario-based robust optimization using historical measurements of the aggregated feeder power consumption. In the intra-day phase, the operation of the group of prosumers is dispatched according to the profile defined during the day-ahead stage, which becomes the so-called dispatch plan. The dispatch plan is tracked in real-time by properly adjusting the injections of the BESS using model predictive control (MPC). The proposed control process is experimentally validated using a 750 kW/567 kWh BESS connected to a 20 kV feeder of the EPFL campus that interfaces loads and PV generation.
ION TEMPERATURES IN THE LOW SOLAR CORONA: POLAR CORONAL HOLES AT SOLAR MINIMUM

In the present work we use a deep-exposure spectrum taken by the SUMER spectrometer in a polar coronal hole in 1996 to measure the ion temperatures of a large number of ions at many different heights above the limb between 0.03 and 0.17 solar radii. We find that the measured ion temperatures are almost always larger than the electron temperatures and exhibit a nonmonotonic dependence on the charge-to-mass ratio. We use these measurements to provide empirical constraints to a theoretical model of ion heating and acceleration based on gradually replenished ion-cyclotron waves. We compare the wave power required to heat the ions to the observed levels to a prediction based on a model of anisotropic magnetohydrodynamic turbulence. We find that the empirical heating model and the turbulent cascade model agree with one another, and explain the measured ion temperatures, for charge-to-mass ratios smaller than about 0.25. However, ions with charge-to-mass ratios exceeding 0.25 disagree with the model; the wave power that they require to be heated to the measured ion temperatures shows an increase with charge-to-mass ratio (i.e., with increasing frequency) that cannot be explained by a traditional cascade model. We discuss possible additional processes that might be responsible for the inferred surplus of wave power.
RNA Interference Targeting Snail Inhibits the Transforming Growth Factor β2-Induced Epithelial-Mesenchymal Transition in Human Lens Epithelial Cells

Epithelial-msenchymal transition (EMT) contributes to posterior capsule opacification (PCO) type of cataract. Transcription factors Snail is a key trigger of EMT activated by transforming growth factor β (TGFβ). This study was done to investigate the effect of Snail targeting siRNA on TGFβ2-induced EMT in human lens epithelial cells. TGFβ2 treatment of cultured human epithelial cell line (HLEB3) upregulated the expression of Snail and the EMT relevant molecules such as vimentin and α-SMA but downregulated the expression of keratin and E-cadherin. After the stimulation of TGFβ2, the HLEB3 cells became fibroblast-like in morphology, and the junctions of cell-cell disappeared. TGFβ2 treatment also enhanced migration ability of HLEB3 cells. TGFβ2-induced Snail expression and EMT were significantly inhibited by Snail siRNA. By analyzing the response characteristics of HLEB3 in TGFβ2-induced EMT model with/without Snail-specific siRNA, we concluded that Snail is an element in the EMT of HLEB3 cells induced by TGFβ2. Snail siRNA targeting can block the induced EMT and therefore has the potential to suppress the development of PCO.