Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance analysis of turbo code for CDMA 2000 with convolutional coded IS-95 system in wireless communication system

Improvement in hostile wireless communication highly varying channel with is done by several ways like channel coding, diversity and equalization. Recently a new family of codes known as turbo codes is incorporated in 3G and 4G wireless standards. It has capability of performing close to Shannon Limit. In this paper we compare performance of convolution code for IS −95 and turbo coded CDMA 2000 over Rayleigh fading channel. Due to its constructional capabilities, turbo codes provide better performance because of recursive nature. Simulation is carried out in Rayleigh fading environment and it is observed that the turbo code performs better than convolution codes. Turbo code drastically improves the performance compared to convolutional codes even at low SNRs also. For the SNRs in the range of 6 dB turbo codes outperform both the IS-95 and CDMA 2000.
A novel node mobility(NoM) approach of cognitive Radio Networks (CRNs) communication in beyond 4g spectrum management (SM)

The amount of signaling needed to maintain the CRNs topology has been estimated with regard to different radius of clusters size management scenarios. The node mobility for the recommended network model has been simulated according to a Random Waypoint mobility model (RWP). The simulation results show that only a portion of the network hosts simultaneously traverse their respective cluster boundaries. Additionally, this amount is heavily impacted by the cluster sizes, which must be properly dimensioned based on factors like, local, geographical or regulatory considerations. The sides (vertices) of a large cluster become longer, which further increases the probability of nodes traversing them. Consequently, this signifies the need for a more flexible and dynamic allocation of the spectrum resources, which requires a new approach to cognitive radio network management. This can be achieved with the help of mobile devices capable of accurately sensing the spectrum occupancy, learning about temporarily unused frequency bands and able to reconfigure their transmission parameters in such a way that the spectral opportunities can be effectively exploited.
Uncovering the Role of Gender Stereotypes in Speech Perception

This work examines the effect of gender stereotypes on the perception of language by drawing together findings from the fields of speech perception, gender studies, and social psychology. Results from two speech perception experiments are reviewed that show that listeners’ stereotypes about gender, as activated by the faces and voices of speakers, alter the listeners’ perception of the fricatives /s/ and /∫/ . One experiment employs auditory-only consonant-vowel-consonant (CVC) tokens and the other employs audiovisual stimuli created from the same tokens synthesized with talking faces. This effect of stereotypes on low-level speech processing must be accounted for in models of perception, cognition, and the relationship between the physical and social environment.
Cooperative elliptic instability of a vortex pair

In this paper, we investigate the three-dimensional instability of a counter-rotating vortex pair to short waves, which are of the order of the vortex core size, and less than the inter-vortex spacing. Our experiments involve detailed visualizations and velocimetry to reveal the spatial structure of the instability for a vortex pair, which is generated underwater by two rotating plates. We discover, in this work, a symmetrybreaking phase relationship between the two vortices, which we show to be consistent with a kinematic matching condition for the disturbances evolving on each vortex. In this sense, the instabilities in each vortex evolve in a coupled, or ‘cooperative’, manner. Further results demonstrate that this instability is a manifestation of an elliptic instability of the vortex cores, which is here identified clearly for the first time in a real open flow. We establish a relationship between elliptic instability and other theoretical instability studies involving Kelvin modes. In particular, we note that the perturbation shape near the vortex centres is unaffected by the finite size of the cores. We find that the long-term evolution of the flow involves the inception of secondary transverse vortex pairs, which develop near the leading stagnation point of the pair. The interaction of these short-wavelength structures with the long-wavelength Crow instability is studied, and we observe significant modifications in the longevity of large vortical structures.
Third-line docetaxel chemotherapy for recurrent and metastatic gastric cancer

Background/Aims To determine the efficacy and toxicity of docetaxel as a third-line therapy for patients with relapsed gastric cancer who have undergone modified oxaliplatin-fluorouracil (m-FOLFOX)-4 and modified irinotecan-fluorouracil (m-FOLFIRI) regimens. Methods We analyzed 33 patients who had been histologically diagnosed with adenocarcinoma of the stomach and who had progressed after m-FOLFOX-4 and m-FOLFIRI regimens. Patients were treated with cycles of 75 mg/m2 docetaxel on day 1 every 3 weeks. Results The median age of the patients was 56.0 years (range, 31.0 to 74.0), and 73% of the patients (24/33) had an Eastern Cooperative Oncology Group performance status of 0 or 1. All patients were evaluated in terms of tumor response: five (15%), nine (27%), and 19 (58%) patients experienced a partial response, stable disease, and progressive disease, respectively. The median time to progression was 2.1 months (95% confidence interval [CI], 1.63 to 2.58), and overall survival was 4.7 months (95% CI, 3.20 to 6.20), from the start of the docetaxel regimen. Assessing patients' toxicity profiles, the median number of cycles was 2.0 (range, 1.0 to 12.0). The major hematologic toxicities included grade 3 to 4 neutropenia (19/33, 58%), grade 3 to 4 thrombocytopenia (2/33, 6%), and grade 3 to 4 anemia (5/33, 15%). Neutropenic fever developed in three patients (3/33, 9%). The nonhematological toxicities were nausea and vomiting (10/33, 30%), abdominal pain (4/33, 12%), skin rash (1/33, 3%), and fluid retention (3/33, 9%). Conclusions Docetaxel is a feasible third-line therapy regimen for patients with advanced gastric cancer after m-FOLFIRI and m-FOLFOX-4 regimens.
Sleep Hunter: Towards Fine Grained Sleep Stage Tracking with Smartphones

Sleep quality plays a vital role in personal health. A great deal of effort has been paid to design sleep quality monitoring systems, providing services ranging from bedtime monitoring to sleep activity detection. However, as sleep quality is closely related to the distribution of sleep duration over different sleep stages, neither the bedtime nor the intensity of sleep activities is able to reflect sleep quality precisely. We present Sleep Hunter, a mobile service that provides a fine-grained detection of sleep stage transition for sleep quality monitoring and intelligent wake-up call. The rationale is that each sleep stage is accompanied by specific body movements and acoustic signals. Leveraging the built-in sensors on smartphones, Sleep Hunter integrates these physical activities with sleep environment, inherent temporal relation, and personal factors by a statistical model for a fine-grained sleep stage detection. Based on the duration of each sleep stage, Sleep Hunter further provides sleep quality report and smart call service for users. Experimental results from over 30 sets of nocturnal sleep data show that our system is superior to existing actigraphy-based sleep quality monitoring systems, and achieves satisfying detection accuracy compared with dedicated polysomnography-based devices.
Inter-Access point communications for distributed resource management in 802.11 networks

Due to the increasing number of IEEE 802.11 networks, the presence of interference is becoming an important problem to solve. In a single multicell network, the harmful effect of interference is minimized thanks to network planning; but if there are different wireless networks coexisting, which besides, belong to different owners, the presence of a distributed resource management mechanism becomes the best choice. A distributed management system involves communication among all participant devices. In the present paper two mechanisms are proposed: channel allocation algorithm and load balancing through cell breathing. The questions raised by these new communication needs are analyzed and also, different solutions are proposed based on a common idea: use of Access Points (APs) with two radio interfaces adopting ad-hoc networking mechanisms for inter-AP signaling purposes.
A permafrost glacial hypothesis to explain atmospheric CO 2 and the ice ages during the Pleistocene

tion of increased oceanic carbon storage during glacials. Here we present results from the first permafrost loess sequence in Siberia spanning two glacial cycles (∼240 ka), which reveal that permafrost soils repeatedly sequestered huge amounts of terrestrial carbon during glacial periods. This can be explained with permafrost favouring more intensive waterlogging conditions and better preservation of soil organic matter. Ter10
Factors affecting the adoption of integrated cloudbased e- health record in healthcare organizations: a case study of Jordan

Cloud computing is one of the most prominent technological trends as it allows modernization of healthcare organization. The purpose of this study is to explore the factors that affect adoption of integrated cloud-based e-health record EHR system in healthcare organizations in Jordan based on TOE framework. The study is done by conducting interviews with IT experts in healthcare organization in Jordan. The three contexts of TOE that affect adoption of cloud-based EHR are: Technological context “privacy, security, and reliability”, Organizational context “top management support, and technology readiness”, and Environmental context “government policy, legal environment, and competition”.
Visualizing Data-Flows in Functional Programs

Comprehension of a program, either written by oneself or by someone else, is an important part of the daily life of a programmer. While many approaches support program comprehension of object-oriented programming languages, e.g., by providing slicing or reengineering the program into visual designs, there are fewer research activities targeting functional programming languages. For the specific case of Haskell programs, we see a need in program comprehension to understand how functions interact with each other with respect to the data and its type they exchange. In this paper, we present an approach to aid in understanding by providing an automatic transformation of Haskell programs into data-flow diagrams. These data-flow diagrams visualize the manipulation of values by the different functions which comprise the program. Because types are a very important part of writing and understanding Haskell programs, the data-flows in the diagrams are explicitly enriched with type information. This allows us to display intermediary types that usually are not visible to the programmer. The approach is based on category theory and illustrated by examples.
What Makes the UAE a Knowledge Society

Introduction IWhat is a knowledge society? Why is it important to understand knowledge societies? IIWhat are the pillars of building a knowledge society? i. Guaranteeing the key freedoms of opinion, speech and assembly through good governance bounded by the law. ii. Disseminating high quality education for all iii. Embedding and ingraining science, and building and broadening the capacity for research and development in all societal activities. iv. Shifting rapidly towards knowledge based production in Arab socioeconomic structures v. Developing an authentic, broadminded and enlightened Arab knowledge model. IIIThe role of teachers in building knowledge societies Conclusion References What Makes the UAE a Knowledge Society? 3 | P a g e What makes the UAE a knowledge society?
Target coordinates calculation using GPS/inertial-aided sensors

Target Localization using small unmanned aerial vehicles (UAVs) has emerged in the recent decades as an effective and essential option in surveillance, military and other fields. Often, UAV holds a camera and with the aid of different sensors it can determine the target location. This research represents a mathematical method for calculating the distance between the UAV and the target using UAV coordinates and the tilt angle of the camera while posing to the target. Then, with knowing the heading of the UAV, it obtains the coordinates of the target. This proposed method assumes that the target altitude is known or estimated from previous background about the geographical nature of the field.
An Overview of Industrial Model Predictive Control Technology

This paper provides an overview of commercially available Model Predictive Control (MPC) technology, based primarily on data provided by MPC vendors. A brief history of industrial MPC technology is presented rst, followed by results of our vendor survey of MPC control and identiication technology. A general MPC control algorithm is presented, and approaches taken by each vendor for the diierent aspects of the calculation are described. Identiication technology is then reviewed to determine similarities and diierences between the various approaches. MPC applications performed by each vendor are summarized by application area. The nal section presents a vision of the next generation of MPC technology, with an emphasis on potential business and research opportunities.
The Economic Burden of Head and Neck Cancers in Denmark

Introduction: The incidence of head and neck cancers has increased markedly over the last decade. A Danish study of the costs of head and neck cancers has not been undertaken. Such studies have again become relevant due to the development of the HPV vaccines, as some cases are attributable to high-risk HPV 16 or 18. The objective of study was to estimate the incidence of head and neck cancers and their health care costs. Methods: Data on incidence and health care use related to head and neck cancer were obtained from Danish health care registers. New cancer patients were identified in the Danish National Cancer Register. Resource use per year in the hospital sector was estimated using data from the National Patient Register applying charges as cost estimates. Health care consumption by cancer patients was compared with that by an age- and sex-matched cohort without cancer. Results: We found that nearly 1000 new cases of oral cavity, oropharyngeal, hypopharyngeal and laryngeal cancer are diagnosed annually. In total the cost of these cancers to the Danish hospital sector constituted 31.6 million Euros per year, with the majority of costs (74%) occurring in men. The total costs associated with HPV16/18-related head and neck cancers were estimated to be 6.1 million Euros per year. Conclusion: This study provides the first Danish estimates of the costs associated with non-cervical and non-genital HPV-related cancers based on very reliable, individual-based data. It is expected that the current HPV vaccination programme will reduce this burden.
A Nonlinear Approach to Modeling of Software Aging in a Web Server

Software aging refers to the phenomenon that the performance degradation, increasing failure rate or massive resource usage demonstrated in long-running software systems such as web servers. It was reported that software aging has a significant relationship with resource usage. To study the software aging phenomenon in web servers, we built an experimental platform with a server and multiple clients to collect the data of system resource usage on the server. In this paper, we present several experiments based on the platform and study software aging phenomenon of a widely used web server software system - the Apache HTTP server. Some repeatable software aging phenomena are observed in our experiments. The process of software aging is shown to be nonlinear and chaotic. In order to better present the nonlinear interplay of various resource parameters of web server and forecast resource exhaustion, a nonlinear dynamic model of software aging is constructed to formulate software aging process.
Performance evaluation of non linear phase shift and chromatic dispersion in DWDM network

Wavelength-division multiplexing (WDM) is a technology which multiplexes multiple optical carrier signals on a single optical fiber by using different wavelengths (colors) of laser light to carry different signals. It has been previously found that using polarized light decreases crosstalk in DWDM systems. Explicit expressions and simulations, based on parameters which enable a quick evaluation of feasibility may be used for the optimization of DWDM network and how to maintain data rate throughout the system, so that the effects of chromatic dispersion and non linear phase shift are minimum.
Modes and Regulation of Endocytic Membrane Retrieval in Mouse Auditory Hair Cells

Synaptic vesicle recycling sustains high rates of neurotransmission at the ribbon-type active zones (AZs) of mouse auditory inner hair cells (IHCs), but its modes and molecular regulation are poorly understood. Electron microscopy indicated the presence of clathrin-mediated endocytosis (CME) and bulk endocytosis. The endocytic proteins dynamin, clathrin, and amphiphysin are expressed and broadly distributed in IHCs. We used confocal vglut1–pHluorin imaging and membrane capacitance (Cm) measurements to study the spatial organization and dynamics of IHC exocytosis and endocytosis. Viral gene transfer expressed vglut1–pHluorin in IHCs and targeted it to synaptic vesicles. The intravesicular pH was ∼6.5, supporting only a modest increase of vglut1–pHluorin fluorescence during exocytosis and pH neutralization. Ca2+ influx triggered an exocytic increase of vglut1–pHluorin fluorescence at the AZs, around which it remained for several seconds. The endocytic Cm decline proceeded with constant rate (linear component) after exocytosis of the readily releasable pool (RRP). When exocytosis exceeded three to four RRP equivalents, IHCs additionally recruited a faster Cm decline (exponential component) that increased with the amount of preceding exocytosis and likely reflects bulk endocytosis. The dynamin inhibitor Dyngo-4a and the clathrin blocker pitstop 2 selectively impaired the linear component of endocytic Cm decline. A missense mutation of dynamin 1 (fitful) inhibited endocytosis to a similar extent as Dyngo-4a. We propose that IHCs use dynamin-dependent endocytosis via CME to support vesicle cycling during mild stimulation but recruit bulk endocytosis to balance massive exocytosis.
RoboParrot: A robotic platform for human robot interaction, case of autistic children

This paper presents a robotic platform suitable for Human-Robot Interactions (HRI), with focus on verbal interactions. It is obvious that interactive and social skills are two indispensable requirements in many application areas where robots and humans need to interact with each other. Consequently, we have developed a cognitive robot companion, i.e. a parrot like robot, with main focus on verbal interaction with humans. A possible educational or therapeutic aspects of this robot for children who suffer from Autism Spectrum Disorders (ASD) have been considered. In other words the robot is designed intended to comfort and emotionally interact with autistic children. Different types of functionalities are introduced and discussed in the light of their potential investigation in humanrobot experiments. The platform is intended for research in other HRI applications, such as concept learning and robotainment. The initial results show the attractiveness of the designed robot for humans and its great potential for success in using this platform for rehabilitation in social interaction, edutainment and entertainment.
Forecasting Fossil Fuel Energy Consumption for Power Generation Using QHSA-Based LSSVM Model

Accurate forecasting of fossil fuel energy consumption for power generation is important and fundamental for rational power energy planning in the electricity industry. The least squares support vector machine (LSSVM) is a powerful methodology for solving nonlinear forecasting issues with small samples. The key point is how to determine the appropriate parameters which have great effect on the performance of LSSVM model. In this paper, a novel hybrid quantum harmony search algorithm-based LSSVM (QHSA-LSSVM) energy forecasting model is proposed. The QHSA which combines the quantum computation theory and harmony search algorithm is applied to searching the optimal values of and C in LSSVM model to enhance the learning and generalization ability. The case study on annual fossil fuel energy consumption for power generation in China shows that the proposed model outperforms other four comparative models, namely regression, grey model (1, 1) (GM (1, 1)), back propagation (BP) and LSSVM, in terms of prediction accuracy and forecasting risk.
Kayur Patel Area: Hci, Machine Learning Area: Hci, Machine Learning Qualifying Project: Examining the Developer Adoption of Statistical Machine Learning Research Experience

As statistical machine learning algorithms and techniques continue to mature, many researchers and developers see statistical machine learning not only as a topic of expert study, but also as a tool for software development. Extensive prior work has studied software development, but little prior work has studied software developers applying statistical machine learning. This paper presents interviews of eleven researchers experienced in applying statistical machine learning algorithms and techniques to human-computer interaction problems, as well as a study of ten participants working during a five-hour study to apply statistical machine learning algorithms and techniques to a realistic problem. We distill three related categories of difficulties that arise in applying statistical machine learning as a tool for software development: (1) difficulty pursuing statistical machine learning as an iterative and exploratory process, (2) difficulty understanding relationships between data and the behavior of statistical machine learning algorithms, and (3) difficulty evaluating the performance of statistical machine learning algorithms and techniques in the context of applications. This paper provides important new insight into these difficulties and the need for development tools that better support the application of statistical machine learning. Author