Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance Analysis for Traffic Offloading with MU-MIMO Enabled AP in LTE-U Networks

In this paper, we investigate the effect of Multiple- User Multiple-Input Multiple-Output (MU-MIMO) enabled WiFi Access Point (AP) on the performance of traffic offloading in LTE-Unlicensed (LTE-U) networks. We first derive closed-form expressions for the downlink rates of both cellular user and offloaded user under limited Channel State Information (CSI) feedback, and obtain the sum-rate of the system. Then, we validate our analysis by numerical simulations and evaluate the system performance under different number of offloaded users and various CSI feedback lengths. The evaluation illustrates that there is a trade-off between the number of users offloaded to WiFi AP and the sum-rate of the system, and performance inflection point lies on the SNR conditions. Meanwhile, increasing CSI feedback length for the cellular Base Station (BS) or the WiFi AP alone helps increase the sum-rate of the system and rate of corresponding users, while it sacrifices the rate of users in the other network. These results suggest that adaptive utilization of antenna numbers on the MU-MIMO enabled AP based on SNR, and deciding CSI feedback length according to practical traffic demand of corresponding users are critical to achieve high rate performance for traffic offloading in LTE-U networks.
Depression in Relation to Early and Recent Parent Death

Freud's Mourning and Melancholia (1917) stimulated much psychoanalytic speculation regarding the relationship between loss of a loved object and subsequent depression. Abraham (1924) considered ‘a severe injury to infantile narcissism brought about by successive disappointments in love’ to be an important factor in melancholia, and used the term ‘primal parathymia’ to describe the disagreeable experiences of childhood which give rise to adult depression. Klein (1940) related all states of depression and mourning in adults to a reawakening of the infant's struggle to make reparation to the mother he fears he has destroyed. She believed that adults who are prone to depression have never successfully worked through this earlier ‘depressive position’. Bowlby (i960) has likened adult grief and mourning to the reaction of children to separation from their mothers. He proposed the view (1961) that children are less capable of coping with death of a parent than adults and adopt the defensive mechanism of ego-splitting by which part of the ego still considers the parent to be alive. This imperfect resolution of the loss situation leads to a fixation on the lost parent and a tendency to react badly to further separations. Brown (1961), extending this theory, maintained that rejections in adult life are likely to release the repressed urges to recover the lost object, and to precipitate a depressive illness.
Aspects of Sum-Product Decoding of Low-Density-Parity-Check Codes on Neural Networks

Neural network rules and coding theory concepts have been associated in the past. It is known that in relation to neural networks, iterative decoding exhibits some nonlinear dynamics. The purpose of this thesis, therefore, is to set forth an evaluation of the concept of neural network design related to Low-Density Parity-Check (LDPC) code structures and algorithmic aspects. A basic introduction to neural networks is given as major aspects of existing network structures are looked into. New ideas relating to the LDPC decoding sum-product algorithm are then introduced and explored in a non-specific manner later in the thesis.
Benchmarking of Power Quality Performance in Transmission Systems - CIGRE WG C4.27 perspective

This paper describes the activities of CIGRE WG C4.27 “Benchmarking of Power Quality Performance in Transmission Systems”. The WG was established in December 2012 in recognition of demand for coherent set of guidelines for benchmarking power quality performance in existing and future transmission networks. During the work the members of the WG have compiled extensive material related to the state of the art of benchmarking power quality performance in transmission systems. This paper summarizes current understanding of benchmarking power quality performance issues and identifies directions in which the WG will continue to work in order to provide resolutions to outstanding questions.
The Potential of an EV and Intelligent Load Management for a Smart home with Integrated PV and Battery

With the increase in home energy consumption due to the electrification of house heating and charging of electric vehicles (EVs), the self-sufficiency and reduced impact on the utility grid from a house has become a more exciting topic. In combination with the price decrease for lithium-ion batteries the potential for storing PV generated energy in batteries has become more beneficial. However, the price for batteries is still a large part of the total investment of a PV system with home battery. Correct sizing of the home battery and PV installation is essential to reduce investment costs and as a result a decrease in payback time. Besides the correct sizing of the home battery and PV installation, these two parameters are also influenced when using an EV in the energy management system of the house. EVs have large batteries (thirty to hundred kWh) to give the EVs an extented driving range. The average EV owner does not use the full capacity of the battery on a regular day. The unused capacity of an EV battery has the potential to reduce the home battery capacity when used as a storage facility. To reduce the impact of the upcoming changes in house consumption, this thesis investigates load shifting in combination with a charged EV as addition to the house with integrated PV and battery. The results show that a charged EV can have a positive contribution to a house on grid energy autonomy, peak shaving capability and electricity cost. In combination with load shifting the benefits are further increased.
Using dual-path allocation for partial traffic protection in Elastic Optical Networks

Multi-path allocation has been proposed as a simple way to achieve traffic protection in different networking domains. In this work dual-path allocation is proposed for Elastic Optical Networks (EON) assuming dynamic offered traffic, and its performance is quantified by simulation. Indeed, dual-path allocation is compared with partial dedicated path protection assuming different scenarios. In addition to a qualitative comparison where advantages and drawbacks of both schemes are analysed, quantitative results for different backbone network scenarios are presented.
Design of biofunctional assemblies on solids through recombinant spherical bacterial protein lumazine synthase.

The stepwise design of large protein assemblies such as actin-myosin complexes on solid supports is presented. The functional entities are anchored to the solid surface or solid-supported membranes through lumazine synthase, a 15 nm icosahedral capsid which can be functionalized by recombinant coupling of different linkers to the protomer, as shown in the cartoon. Separating the protein assemblies from the solid by 15 nm spaces avoids protein denaturing by nonspecific adsorption.
A low-cost vibratory stimulus system to mitigate freezing of gait in Parkinson's disease

Freezing of gait (FOG) is a symptom of advanced Parkinson's disease (PD) that affects the quality of life of these patients. This paper presents a new low-cost stimulus system to support the patient response to FOG episodes by using a vibratory cue. Freezing episodes are automatically detected by using an inertial measurement unit (IMU) placed on the patient's right ankle and a pressure sensor embedded into a shoe insole to reduce false-positive episodes. This data is transmitted using Bluetooth technology to a PC and once a freezing event is detected, a vibratory stimulus is produced on the left sole by triggering a micromotor at 275 Hz, which is embedded into the left shoe insole. The entire system was evaluated over a walking circuit designed to provoke FOG events during acquisition of kinematic data. The average time to perform the complete circuit for PD patient is around 146 seconds (without stimulations) and 96 seconds with vibratory stimulation system; therefore showing that time diminishes by 34%.
Noise-tolerant inverse analysis models for nondestructive evaluation of transportation infrastructure systems using neural networks

The need to rapidly and cost-effectively evaluate the present condition of pavement infrastructure is a critical issue concerning the deterioration of ageing transportation infrastructure all around the world. Nondestructive testing (NDT) and evaluation methods are well-suited for characterising materials and determining structural integrity of pavement systems. The falling weight deflectometer (FWD) is a NDT equipment used to assess the structural condition of highway and airfield pavement systems and to determine the moduli of pavement layers. This involves static or dynamic inverse analysis (referred to as backcalculation) of FWD deflection profiles in the pavement surface under a simulated truck load. The main objective of this study was to employ biologically inspired computational systems to develop robust pavement layer moduli backcalculation algorithms that can tolerate noise or inaccuracies in the FWD deflection data collected in the field. Artificial neural systems, also known as artificial neural networks (ANNs), are valuable computational intelligence tools that are increasingly being used to solve resource-intensive complex engineering problems. Unlike the linear elastic layered theory commonly used in pavement layer backcalculation, non-linear unbound aggregate base and subgrade soil response models were used in an axisymmetric finite element structural analysis programme to generate synthetic database for training and testing the ANN models. In order to develop more robust networks that can tolerate the noisy or inaccurate pavement deflection patterns in the NDT data, several network architectures were trained with varying levels of noise in them. The trained ANN models were capable of rapidly predicting the pavement layer moduli and critical pavement responses (tensile strains at the bottom of the asphalt concrete layer, compressive strains on top of the subgrade layer and the deviator stresses on top of the subgrade layer), and also pavement surface deflections with very low average errors comparable with those obtained directly from the finite element analyses.
Peripheral facial palsy and dysfunction of the oropharynx

The facial nerve contributes to the oropharyngeal phase of deglutition via the buccinator, perioral, digastricus posterior, and stylohyoid muscles. The gustatory and salivatory functions of the facial nerve are also known to contribute to swallowing. The relation between peripheral facial nerve palsy (PFP) and swallowing dysfunction has never been studied systematically. Forty four patients with unilateral Bell's palsy (acute or chronic stages) and 20 normal control subjects were investigated. In 66% of patients with PFP, oropharyngeal swallowing was disturbed as demonstrated electrophysiologically by the patients' dysphagia limit at or below 20 ml of water. In patients with PFP investigated within the first 2 weeks of the palsy, the dysphagia limit normalised during the period of recovery. Normalisation of the dysphagia limit is highly correlated with the recovery of PFP. Thus, subclinical deglutition is very frequent in patients with PFP. The severity of abnormal deglutition increased with the severity of the PFP, especially with the involvement of the perioral and buccinator muscles.
π-TM: Pessimistic invalidation for scalable lazy hardware transactional memory

Lazy hardware transactional memory has been shown to be more efficient at extracting available concurrency than its eager counterpart. However, it poses scalability challenges at commit time as existence of conflicts among concurrent transactions is not known prior to commit. Non-conflicting transactions may have to wait before committing, severely affecting performance in certain workloads. Early conflict detection can be employed to allow such transactions to commit simultaneously. In this paper we show that the potential of this technique has not yet been fully utilized, with design choices in prior work severely burdening common-case transactional execution to avoid some relatively uncommon correctness concerns. The paper quantifies the severity of the problem and develops μ-TM, an early conflict detection - lazy conflict resolution design. This design highlights how, with modest extensions to existing directory-based coherence protocols, information regarding possible conflicts can be effectively used to achieve true parallelism at commit without burdening the common-case. We leverage the observation that contention is typically seen on only a small fraction of shared data accessed by coarse-grained transactions. Pessimistic invalidation of such lines when committing or aborting, therefore, enables fast common-case execution. Our results show that μ-TM performs consistently well and, in particular, far better than previous work on early conflict detection in lazy HTM. We also identify a pathological scenario that lazy designs with early conflict detection suffer from and propose a simple hardware workaround to sidestep it.
Experiments with the ABI (accents of the british isles) speech corpus

The ABI (Accents of the British Isles) speech corpus contains approximately 90 hours of speech from approximately 280 speakers representing 14 different regional accents of British and Irish English. ABI includes a combination of applications-oriented and linguistically-motivated material. This paper describes experiments in which the ABI corpus is used to study the effects of these regional accents on vowel formant frequencies and automatic speech recogniser performance, and to explore inter-accent variability
Light-flash physiology with synthetic photosensitive compounds.

Introduction . 583 Photochemical Strategies . 585 A. Photoisomerization of azobenzenes and related molecules . 586 B. Photolyzable esters . 588 Caged Nucleoside Triphosphates . 590 A. Muscleresearch . 590 B. Activetransportresearch . 591 Caged Cyclic Nucleotides . 592 A. Initial experiments . 592 B. Newer derivatives. 594 C. Heart muscle . 595 D. Other tissues . 596 Nicotinic Acetylcholine Receptors . 597 A. Electrqhorus electroplaques . 597 B. Culturedratmyoballs . 598 C. Futuredirections . 600 Muscarinic Acetylcholine Receptors . 601 Photolabile Calcium Chelators . 602 Calcium Antagonists . 604 A. Heartcells . 606 B. Neurons . 607 C. Calciumagonists . 608 Protons . 608 Commercial Support . 611 Conclusion . 611
Evidence that three dimensions of psychosis have a distribution in the general population

Background. The aims of the study were: first to examine, using clinical symptoms of patients as a template, whether the correlated but independent dimensions of positive, negative and depressive symptoms that have been identified in clinical psychosis, also have a distribution as non-clinical experiences in the general population; and second, to establish to what degree population variation in experience of positive and negative features of psychosis is actually independent of experience of depression. Method. In a representative population sample of 932 young men, we measured experiences of positive, negative and depressive features of psychosis, using a 40-item self-report instrument. Confirmatory factor analysis was used to compare the fit of hypothesized one-, two- and three-factor solutions. Results. A three-factor model of separate depressive, positive and negative dimensions provided a better fit to the data than either a two-factor or unidimensional model. All three dimensions were correlated with each other, but also showed good discriminant validity in relation to established scales, confirming their relative independence. Conclusion. The data suggest that the correlated dimensions of clinical psychosis also have a distribution in the general population, and that depressive symptoms may form an integral part of psychosis-like experiences in the general population.
Modeling exceptional behaviors in commercial workflow management systems

Workflow management systems (WfMSs) are most applicable when processes follow a predictable and repeatable behavior. However exceptional situations may occur in any process. An important class of exceptions is that of expected exceptions, i.e., of those exceptional situations that can be foreseen at design time, are part of the process semantics, but cause deviations from the normal process execution. Expected exceptions often are asynchronous with respect to the normal flow. Recently, a few research prototypes have addressed the problem of supporting exceptional behaviors, while commercial WfMSs do not offer these capabilities yet. In this paper we propose a methodology for modeling exceptions by means of activity graphs, which are the workflow specification formalism supported by most commercial systems. We present a taxonomy of expected exceptions, categorizing them according to how then can be mapped. Finally, we give methodological guidelines in order to support exception analysis and design. We exemplify the introduced concepts by showing how expected exceptions can be mapped on top of Changengine, Hewlett-Packard's WfMS.
A Neuro–Fuzzy Inference System for sEMG-Based Identification of Hand Motion Commands

Surface electromyogram (sEMG) signals, a noninvasive bioelectric signal, can be used for the rehabilitation and control of artificial extremities. Current sEMG pattern-recognition systems suffer from a limited number of patterns that are frequently intensified by the unsuitable accuracy of the instrumentation and analytical system. To solve these problems, we designed a multistep-based sEMG pattern-recognition system where, in each step, a stronger more capable relevant technique with a noticeable improved performance is employed. In this paper, we utilized the sEMG signals to classify and recognize six classes of hand movements. We employed an adaptive neuro-fuzzy inference system (ANFIS) to identify hand motion commands. Training the fuzzy system was performed by a hybrid back propagation and least-mean-square algorithm, and for optimizing the number of fuzzy rules, a subtractive-clustering algorithm was utilized. Furthermore, this paper employed time and time-frequency domains and their combination as the features of the sEMG signal. The proposed recognition scheme utilizing the combined features with an ANFIS classification provided the best result in identifying complex hand movements. The maximum identification accuracy rate of 100% and an average classification accuracy of the proposed ANFIS system of 92% proved to be superior in comparison with relevant studies to date.
Advancing telecare for pain treatment in primary care.

Chronic musculoskeletal pain accounts for an estimated 60 million ambulatory care visits in the United States each year and significantly impairs quality of life.1,2 Management of chronic musculoskeletal pain is frequently frustrating, both for patients and for their primary care physicians. Underrecognition and undertreatment of chronic pain have led to routine measurement and documentation of pain as “the fifth vital sign” as well as efforts to increase awareness of pain symptoms among clinicians.3 However, in the absence of effective systems for implementing evidence-based approaches for treating chronic pain, improved awareness of pain has resulted in increased and sometimes indiscriminate prescribing of chronic opioids, with harmful effects.4 Because of the high prevalence of chronic pain and the limited capacity of specialty pain clinics, effective interventions are needed that can be safely and widely implemented by primary care practices.
Viral and Cellular Proteins Containing FGDF Motifs Bind G3BP to Block Stress Granule Formation

The Ras-GAP SH3 domain–binding proteins (G3BP) are essential regulators of the formation of stress granules (SG), cytosolic aggregates of proteins and RNA that are induced upon cellular stress, such as virus infection. Many viruses, including Semliki Forest virus (SFV), block SG induction by targeting G3BP. In this work, we demonstrate that the G3BP-binding motif of SFV nsP3 consists of two FGDF motifs, in which both phenylalanine and the glycine residue are essential for binding. In addition, we show that binding of the cellular G3BP-binding partner USP10 is also mediated by an FGDF motif. Overexpression of wt USP10, but not a mutant lacking the FGDF-motif, blocks SG assembly. Further, we identified FGDF-mediated G3BP binding site in herpes simplex virus (HSV) protein ICP8, and show that ICP8 binding to G3BP also inhibits SG formation, which is a novel function of HSV ICP8. We present a model of the three-dimensional structure of G3BP bound to an FGDF-containing peptide, likely representing a binding mode shared by many proteins to target G3BP.
Design multiband planar printed monopole antenna with Minkowski and Lollipop defected parasitic structure (DPS) for wireless communication system

A multiband planar printed monopole antenna with Minkowski and Lollipop defected parasitic structure (DPS) for wireless communication system is proposed. The proposed antenna can create and work effectively to covers triband resonance frequencies at 2.4, 3.6 and 5.8 GHz within WLAN/WiMAX range in wireless communication system application. The Minkowski and Lollipop DPS has been place in front of and back of the multiband antenna that easily fed by using a 50 Ω microstrip line. The parametric study has been performed to analyze the best range of DPS from the proposed antenna. The simulated and measured impedance bandwidths for 10 dB return loss at first, second and third operating bands can be seen at (135 and 456) MHz, (380 and 272) MHz and (198 and 283) MHz respectively. The additional DPS helps to improve the return loss, bandwidth, gain, directivity. The simulation and measurement performance are well compared and discussed.
MOSIC: Mobility-Aware Single-Hop Clustering Scheme for Vehicular Ad hoc Networks on Highways

As a new branch of Mobile ad hoc networks, Vehicular ad hoc networks (VANETs) have significant attention in academic and industry researches. Because of high dynamic nature of VANET, the topology will be changed frequently and quickly, and this condition is causing some difficulties in maintaining topology of these kinds of networks. Clustering is one of the controlling mechanism that able to grouping vehicles in same categories based upon some predefined metrics such as density, geographical locations, direction and velocity of vehicles. Using of clustering can make network’s global topology less dynamic and improve the scalability of it. Many of the VANET clustering algorithms are taken from MANET that has been shown that these algorithms are not suitable for VANET. Hence, in this paper we proposed a new clustering scheme that use Gauss Markov mobility (GMM) model for mobility predication that make vehicle able to prognosticate its mobility relative to its neighbors. The proposed clustering scheme’s goal is forming stable clusters by increasing the cluster head lifetime and less cluster head changes number. Simulation results show that the proposed scheme has better performance than existing clustering approach, in terms of cluster head duration, cluster member duration, cluster head changes rate and control overhead.