Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel 16-Channel Wireless System for Electroencephalography Measurements With Dry Spring-Loaded Sensors

Understanding brain function using electroencephalography (EEG) is an important issue for cerebral nervous system diseases, especially for epilepsy and Alzheimer's disease. Many EEG measurement systems are used reliably to study these diseases, but their bulky size and the use of wet sensors make them uncomfortable and inconvenient for users. To overcome the limitations of conventional EEG measurement systems, a wireless and wearable multichannel EEG measurement system is proposed in this paper. This system includes a wireless data acquisition device, dry spring-loaded sensors, and a size-adjustable soft cap. We compared the performance of the proposed system using dry versus conventional wet sensors. A significant positive correlation between readings from wet and dry sensors was achieved, thus demonstrating the performance of the system. Moreover, four different features of EEG signals (i.e., normal, eye-blinking, closed-eyes, and teeth-clenching signals) were measured by 16 dry sensors to ensure that they could be detected in real-life cognitive neuroscience applications. Thus, we have shown that it is possible to reliably measure EEG signals using the proposed system. This paper presents novel insights into the field of cognitive neuroscience, showing the possibility of studying brain function under real-life conditions.
Infall, Outflow, Rotation, and Turbulent Motions of Dense Gas within NGC 1333 IRAS 4

Millimeter wavelength observations are presented of NGC 1333 IRAS 4, a group of highly embedded young stellar objects in Perseus, that reveal motions of infall, outflow, rotation, and turbulence in the dense gas around its two brightest continuum objects, 4A and 4B. These data have finest angular resolution of ~2'' (0.0034 pc) and finest velocity resolution of 0.13 km s-1. Infall motions are seen from inverse P Cygni profiles observed in H2CO 312-211 toward both objects, but also in CS 3-2 and N2H+ 1-0 toward 4A, providing the least ambiguous evidence for such motions toward low-mass protostellar objects. Outflow motions are probed by bright line wings of H2CO 312-211 and CS 3-2 observed at positions offset from 4A and 4B, likely tracing dense cavity walls. Rotational motions of dense gas are traced by a systematic variation of the N2H+ line velocities, and such variations are found around 4A but not around 4B. Turbulent motions appear reduced with scale, given N2H+ line widths around both 4A and 4B that are narrower by factors of 2 or 3 than those seen from single-dish observations. Minimum observed line widths of ~0.2 km s-1 provide a new low, upper bound to the velocity dispersion of the parent core to IRAS 4 and demonstrate that turbulence within regions of clustered star formation can be reduced significantly. A third continuum object in the region, 4B', shows no detectable line emission in any of the observed molecular species.
Labor Productivity Divergence : Role of Age Dependency

This study finds strong empirical evidence in favor of the hypothesis that age composition of population matters for labor productivity growth. We applied the fixed effects panel model using data of large number of countries over the period 1980-2005. Our results suggest that higher age dependency impacts the labor productivity negatively not only directly but also modifies the impact of other determinants of labor productivity. Child dependency has more adverse effect on labor productivity as compared to old age dependency. We specifically find that marginal effect of gross capital formation, labor market reforms and information and communication technology investment on labor productivity is high and significant at lower level of age dependency. However, the marginal effect of stock market capitalization on labor productivity increases at high level of age dependency in developing economies. Diversity in size and nature of age dependency across regions and different income groups helps to explain labor productivity differential across them. JEL Classifications: C22, C23, O47
CFT Faculty: Self-Assessment of LGB-Affirming Stances and Programs

iii DEDICATION . iv LIST OF APPENDIX TABLES. vi CHAPTER ONE: INTRODUCTION . 1 CHAPTER TWO: LITERATURE REVIEW . 4 CHAPTER THREE: METHODS . 17 CHAPTER FOUR: RESULTS . 21 CHAPTER FIVE: DISCUSSION . 37 REFERENCES . 55 APPENDIX. TABLES . 64
Antisense c-myc and immunostimulatory oligonucleotide inhibition of tumorigenesis in a murine B-cell lymphoma transplant model.

BACKGROUND Because the development of drug-resistant cells can lead to relapses in patients with lymphoma treated with chemotherapy, new approaches are needed for effective disease management, such as those targeting the c-MYC proto-oncogene with antisense oligonucleotides. Our goal was to investigate whether antisense c-myc oligonucleotides could prevent tumorigenesis in a B-cell lymphoma model. METHODS Immunocompetent mice received subcutaneous injections of tumor cells from a transgenic mouse model of Burkitt's lymphoma. For 7 consecutive days, beginning 1 day after tumor cell transplantation, the mice were given either a DNA phosphorothioate oligonucleotide complementary to c-myc codons 1-5 (myc6) or other c-myc-related oligonucleotides at a dose of 0.76 mg per day subcutaneously. Myc protein expression, normalized to beta-actin expression, was measured by western blotting of tumor and splenic proteins. To determine whether tumor inhibition by myc6 could be a result of B-cell activation, we compared the activity of myc6 with that of an immunostimulatory oligonucleotide, mcg. RESULTS In comparison with control treatments (saline vehicle, scrambled-sequence oligonucleotide, or double-mismatch oligonucleotide), treatment with myc6 delayed tumor onset by 3 days, decreased total tumor mass at sacrifice (i.e., 17 days after tumor cell transplantation) by 40% +/- 16% (mean +/- standard error), and decreased the splenic Myc-to-actin ratio. Inhibition of tumors by myc6 and mcg (both of which share a dACGTT motif) was comparable. Administration of an oligonucleotide sequence complementary to c-myc codons 384-388 (myc55) delayed tumor onset by 5-6 days, decreased total tumor mass at sacrifice by 65% +/- 6%, and reduced the splenic Myc-to-actin ratio to below that produced by myc6. A 14-day treatment regimen of myc55 alternating with mcg completely inhibited tumor formation during the therapeutic schedule. CONCLUSIONS A combined oligonucleotide regimen, based on antisense c-MYC and immunostimulatory oligonucleotides, should be investigated to increase the number and duration of complete remissions obtained after standard chemotherapy for B-cell lymphoma.
Recognition of Voice signals for Oriya Language using wavelet Neural Network

Speech recognition is both speech oriented and speaker oriented. Both have fuzzy effect on them which adds to the hardness. During speech recognition, separation of the words and again redundancy of the voice responsible for the creation of words due to the vowels makes it difficult for analysis. We are trying with the wavelet neural network model to make an effective analysis for the recognition of speech signals. Here the main characteristics of speech/voice like frequency, intensity, accent and quality are analyzed for better output limiting the associated noise. Here we have used the concept of "wavelon" and "scalon". Using the control parameter of the network we have designed the wavelet network for two characters at the beginning and also we are extending for the rest of the character.
Quantification of the Effect of Security on Performance in Wireless LANs

This paper investigates and quantifies the effect of different security protocols on the performance of a wireless LAN. Experiments were performed on a wireless test-bed and the data obtained was analyzed for throughput, delay and packet loss under different security scenarios. Both TCP and UDP traffic streams were analyzed at three different data rates. The effect of congestion is also quantified. The results reveal that no significant degradation in performance occurs by enabling security protocols in a wireless LAN.
Estimation of Time-Varying Hedge Ratios for Corn and Soybeans: BGARCH and Random Coefficient Approaches

This paper deals with the estimation of optimal hedge ratios. A number of recent papers have demonstrated that the ordinary least squares (OLS) method which gives constant hedge ratio is inappropriate and recommended the use of bivariate autoregressive conditional heteroskedastic (BGARCH) model. In this paper we introduce the use of a random coefficient autoregressive (RCAR) model to estimate time varying hedge ratios. Using daily data of spot and futures prices of corn and soybeans we find substantial presence of conditional heteroskedasticity, and also of random coefficients in the regressions of return from the spot market on the return from the futures markets. Hedging performance in terms of variance reduction of returns from alternative models are also conducted. For our data set diagonal vech presentation of BGARCH model provides the largest reduction in the variance of the return portfolio.
Safety and handling concept for assistive robotic devices with pneumatic rotary soft-actuators

Compliance and assistive behavior are essential properties for safe physical human-robot interaction (HRI), an illustrative example for which is robot aided motion therapy. These requirements can be easily fulfilled using inherent compliant and back-drivable (i.e. soft) actuators. This paper describes a fully functional prototype for assistive robotic knee MTD with novel inherent compliant (soft) fluidic actuators of rotary type, which has been developed for orthopedic rehabilitation purposes. Assistive acting motion therapy devices (MTD) are mainly used for neurologic treatment until now, but become increasingly important for orthopedic rehabilitation as well. Device capabilities provide human-like treatment and allow individual adjustable assistance to accomplish desired motions. Utilization of pneumatic soft-actuators demands a special safety concept which is merged with control algorithms to provide sufficient safeness and to catch any possible system errors and sudden emergency situations. A self descriptive user interface allows easy intuitive handling and the prototype can be used very comfortable due to several imperceptible working routines in the background. The same safety and handling concept is used for assistive robotic shoulder MTD, which is currently being developed.
Cryptochrome 2 extensively regulates transcription of the chloroplast genome in tomato

Light plays a key role in the regulation of many physiological processes required for plant and chloroplast development. Plant cryptochromes (crys) play an important role in monitoring, capturing, and transmitting the light stimuli. In this study, we analyzed the effects of CRY2 overexpression on transcription of tomato chloroplast genome by a tiling array, containing about 90 000 overlapping probes (5‐nucleotide resolution). We profiled transcription in leaves of wild‐type and CRY2‐overexpressing plants grown in a diurnal cycle, to generate a comprehensive map of chloroplast transcription and to monitor potential specific modulations of the chloroplast transcriptome induced by the overexpression of CRY2. Our results demonstrate that CRY2 is a master gene of transcriptional regulation in the tomato chloroplast. In fact, it modulates the day/night mRNA abundance of about 58% of the 114 ORFs. The effect of CRY2 includes a differential extension of some transcripts at their 5′‐end, according to the period of the day. We observed that the influence of CRY2 on chloroplast transcription is not limited to coding RNA; a great number of putative noncoding micro RNA also showed differential accumulation pattern. To our knowledge, this is the first study that highlights how a photoreceptor affects the day/night transcription of the chloroplast genome.
Educator perceptions of dance/movement therapy in the special education classroom

Abstract This qualitative study examined educator perspectives of the influence of group dance/movement therapy (DMT) sessions on their students’ behaviours, symptoms, and academic engagement within their special education classroom. Audio-recorded and semi-structured interviews were conducted with 13 educators who had observed and/or participated in their students’ group DMT sessions at one public school in an urban region in the United States. Results of the interviews revealed four overarching themes: (a) The process of a DMT session is perceived to improve regulatory behaviour; (b) DMT can meet individual needs as a part of a group experience; (c) DMT techniques and tools utilised can influence sensory systems (d) limitations in time, duration, and space may influence long-term benefits. While more research is necessary, results suggest that educators value the use of DMT within school settings to assist the children in gaining focus, modulating energy, and supporting healthy social engagement skills.
Model based thermal evaluation of a modular power inverter system

Modular power inverter systems for auxiliary drives in utility vehicles can meet various different customer requirements. A model based approach can be used for validating the thermal design of those systems in any suitable modular configuration. This contribution is focused on an equivalent lumped thermal network model for a modular inverter system on a given heat sink concept. The proposed network representation is based on spatial splitting of the heat sink geometry whereby the lumped network elements are parametrized by means of the heat sink geometry. Since the proposed network is easy and straightforward, a minimum of variables are introduced to adjust the temperature results empirically with FEM results on certain reference operation points. Furthermore, modularity is considered due to the coolant and therefore, customer specific placement of modules can be investigated. Finally, the proposed model is compared with FEM results of a worst case system configuration, the influence of the introduced adjustment variables is shown and further validation results with thermal measurements and FEM results of different system configurations are given.
A random finite set approach to multiple lane detection

Robust lane detection is the precondition for advanced driver assistance systems like lane departure warning and overtaking assistants. While detecting the vehicle's lane is sufficient for lane departure warning, overtaking assistants or autonomous driving functions also need to detect adjacent lanes. In this contribution, a novel approach to multiple lane detection based on multi-object Bayes filtering is presented. This method allows for directly considering the dependencies between multiple lanes without explicit data association in post processing. Furthermore, the proposed lane detection algorithm is applied to a challenging scenario of a rural road.
Considering eye movement type when applying random forest to detect cognitive distraction

Eye movements are well known to express cognitive distraction. Detecting cognitive distraction can help to prevent work-related accidents; thus, it is very useful to detect cognitive distraction using eye movements. Eye movements can be classified into various types. In this paper, we apply an identification-based machine learning algorithm considering eye movement types. We apply Random Forest as the machine learning algorithm. We show the effectiveness of considering eye movement types when applying Random Forest to detect cognitive distraction.
On the security of an efficient TTP-free mental poker protocol

Using commutative cryptosystems is a way to obtain efficient mental poker protocols which do not require using a trusted third party (TTP). However, the security of such protocols depends on the particular cryptosystem used. We show that a TTP-free mental poker protocol using an ElGamal-like commutative cryptosystem is insecure.
Client-server implementation: some management pointers

Using a sample of 350 companies, this paper investigates the benefits of client-server systems and links them to a set of implementation factors. The paper reveals that companies can expect competitive, operational, financial and technical benefits. It reports several important steps, activities and tasks that are positively related to those benefits, including defining clear organizational objectives and strategies, re-organizing corporate data and testing multiple levels of clients and servers. Furthermore, they list some of the problems that companies may encounter during a client-server implementation. The paper is relevant to managers and academicians who want to better understand the implementation of client-server.
Bipolar disorder and disruptive mood dysregulation in children and adolescents: assessment, diagnosis and treatment

Bipolar disorder (BD) is a heritable psychiatric condition, that is, associated with lifelong distress and impairment. There has been a long-standing interest in the early-life origins of BD, not least because as many as 50% of adults with BD report onset of their symptoms during childhood and adolescence.1 In this article, we present evidence on the assessment and treatment of BD and related conditions in young people. We also discuss the recent controversy about BD in children and adolescents that has led to the introduction of the diagnosis of disruptive mood dysregulation disorder (DMDD) by the Diagnostic and Statistical Manual for Mental Disorders (DSM)-5. ### Diagnostic features BD is characterised by episodes, that is, distinct periods of abnormally and persistently elevated, expansive or irritable mood. During these episodes, patients experience symptoms such as grandiosity, distractibility, decreased need for sleep, pressure of speech, an increase in activity, flight of ideas and psychomotor agitation. These episodes are required to last by at least 4 days to diagnose hypomania or at least 7 days to diagnose mania. The insistence on episodic mood changes is crucial and prevents clinicians from rating symptoms such as the chronic concentration problems of a child with attention deficit hyperactivity disorder (ADHD) as evidence for mania.2 Manic episodes are extremely rare in children and relatively rare in adolescents according to epidemiological studies in the UK and the USA.3 ### Acute treatment Pharmacotherapy is the mainstay of treatment for acute mania. Aripiprazole, quetiapine and risperidone are approved by the US Food and Drug Administration (FDA) for the treatment of mania in children and adolescents, and olanzapine in approved only for adolescents. A comparative analysis of randomised, placebo-controlled trials in youth BD established that atypical antipsychotics have better efficacy and tolerability compared with anticonvulsants and lithium (effect size atypical antipsychotics 0.65, CI 0.53 to 0.78 vs …
RDF triples in XML

RDF/XML does not layer RDF on top of XML ina useful way. We use a simple direct representation of the RDF abstract syntax in XML. We add the ability to name graphs, noting that in practice this is already widely used. We use XSLT as a general syntactic extensibility mechanism to provide human friendly macros for our syntax. This provides a simple serialization solving a persistent problem in the Semantic Web.
Securing Materialized Views: a Rewriting-Based Approach

Plusieurs modeles et techniques ont ete proposes pour controler l'acces aux bases de donnees. Nous nous interessons dans ce papier au probleme de generer automatiquement a partir des politiques de controle d'acces definies sur les relations de base, les politiques de controle d'acces qui seront attachees aux vues materialisees. Nous avons choisi d'exprimer des regles de controle d'acces a grains fins a travers l'utilisation des vues d'autorisations. Nous nous basons dans notre approche sur l'adaptation des techniques de reecriture de requetes aux specificites de notre probleme. Nous nous concentrons principalement sur les vues exprimees en requetes conjonctives avec egalites. Nous montrons que notre approche est securisee (aucune divulgation d'information) et sous certaines conditions, l'approche est maximale (toutes les donnees autorisees sont accessibles).
Robust Multiplexed Model Predictive Control for agent-based conflict resolution

Multiplexed Model Predictive Control (MMPC) was originally developed for a multi-input system as a strategy to reduce online computation. In this paper, we demonstrate how distributed control of a system of agents can be posed as a Multiplexed Model Predictive Control problem. Specifically, we consider using robust multiplexed MPC for controlling a system of agents in the presence of coupling constraints in the form of a collision avoidance requirement. The system is subject to persistent unknown, but bounded disturbances. The contribution of this paper is the extension of the original robust multiplexed MPC algorithm to include a disturbance feedback policy in between updates. This facilitates finding feasible solutions and inherits the property of rapid response to disturbances from multiplexing the control. In addition, it is observed that the computational time of the proposed MMPC scheme scales favourably with the number of agents.
3D vs. 2D analysis of FinFET logic gates under process variations

Among various multi-gate structures, FinFETs have emerged dominant owing to their ease of fabrication. Thus, characterization of FinFET devices/gates needs immediate attention for them to become the industry driver in this decade. Ideally, 3D device simulation should be done to enable accurate circuit synthesis. However, this is impractical due to the huge CPU times required. Simulating a 2D cross-section of the device yields 100–1000× reduction in CPU time. However, this introduces significant error, in the range of 10% to 50%, while evaluating the on/off current (ION/IOFF) for a single device and leakage current or propagation delay (ILEAK/tD) for logic gates. In this work, we develop accurate 2D models of FinFET devices to capture 3D simulation accuracy with 2D simulation efficiency. We report results for the 22nm FinFET technology node. As far as we know, this is the first such attempt. We establish the validity of the model even under process variations. We target variations in gate length (LG), workfunction (ΦG) and fin thickness (TSI) that are known to have the most impact on leakage and delay. We adjust their values in the 2D model in order to mimic the actual 3D device behavior. When the 2D models are employed in mixed-mode simulation of FinFET logic gates, the error in the evaluation of ILEAK/tD is quite small.
Enhanced Interior Gateway Routing Protocol for OMNeT + + Preparation of Camera-Ready Contributions to SCITEPRESS Proceedings

Cisco’s EIGRP is a hybrid routing protocol between distance vector and link-state routing protocols. EIGRP offers routing based on composite metric, which takes into account multiple factors and allows more granular and precise routing decisions based on the current state of the network. Cisco released basic specification of EIGRP as IETF’s RFC draft in the beginning of 2013. This paper introduces one of the first freely available EIGRP design and a simulation model implementation that can be run and tested within OMNeT++ discrete
In‐Plane Deformation Mechanics for Highly Stretchable Electronics

Scissoring in thick bars suppresses buckling behavior in serpentine traces that have thicknesses greater than their widths, as detailed in a systematic set of analytical and experimental studies. Scissoring in thick copper traces enables elastic stretchability as large as ≈350%, corresponding to a sixfold improvement over previously reported values for thin geometries (≈60%).