Miracle-dz/UniFAR-FTUs huggingface dataset:
A Recurrent Neural Network Model for Weather Forecasting

This paper compares data mining approaches for weather forecasting from one-dimensional and multidimensional meteorological weather data. Linear and nonlinear methods are applied and more successful results are obtained from nonlinear methods. The best result is obtained with LSTM(Long short-term memory). RFE(Recursive Feature Elimination) is used for subset feature selection and it increases one-dimensional MLP(Multi Layer Perceptron) model accuracy. In addition, Grid Search is used for hyperparameter tuning and early stopping is used to avoid overfitting and underfitting.
Throughput of the Random Linear Network Coding for Broadcast Erasure Channel

This paper considers throughput of an unreliable single-hop broadcast channel by employing random linear network coding technology at the source node. Closed form expressions of the total broadcast throughput for each transmission time slot are derived for system random linear network coding and non-systematic random linear network coding, respectively. Furthermore, the expressions of the total broadcast throughput are also presented in a recursive manner. These expressions is related to the link erasure probability, the number of subscribers in the broadcast link, the number of packets per generation, and the field size. We then investigate the impact of the link erasure probability, the number of receivers, the generation size, and the field size on the throughput performance gains of system random linear network coding and non-systematic random linear network coding over the round robin transmission scheme.
VARIATION IN THE SUSCEPTIBILITY OF FIELD AND LABORATORY POPULATIONS OF CULEX TARSALIS TO EXPERIMENTAL INFECTION WITH WESTERN EQUINE ENCEPHALOMYELITIS VIRUS

: Four field populations and four laboratory colonies of Culex tarsalis from California were evaluated for their susceptibility to infection with western equine encephalomyelitis (WEE) virus by intrathoracic inoculation and by feeding on pledgets soaked with a virus-blood-sucrose mixture. All mosquito strains were uniformly susceptible to infection by intrathoracic inoculation, but 50% infective doses for field and colonized strains varied as much as 1000- to 1500-fold, respectively, by pledget feeding. Moreover, dose-response curves obtained by pledget feeding revealed that some field and laboratory strains of C. tarsalis were quite heterogeneous for susceptibility since some individual females could be infected after ingestion of small concentrations of virus and others could not 0e infected by increasing the concentration of virus by 1000- to 10,000-fold. Variability in viral susceptibility of different mosquito strains could not be correlated with differences in autogeny rates or organophosphorus insecticede resistance.
Constructing Minimal Maintenance Virtual Backbones over Low-Cost Wireless Networks

Virtual backbones are often used to provide a form of hierarchical infrastructure to ad-hoc and Wireless Sensor Networks, facilitating various demanding operations, such as routing. Virtual backbones are often constructed using Connected Dominating Sets (CDSs). The degree of mobility and chance of node failure present in such networks cause frequent network topology changes that require the maintenance and reconstruction of the virtual backbone, which can hinder the network. Therefore, the ability of the CDS to mitigate and avoid changes in topology should be a major concern during its construction. The approach proposed in this paper aims at minimizing the need for CDS maintenance, achieving its construction by selecting the most reliable nodes, when possible. Additionally, the construction of d-hop CDS is examined, as a way to restrict the resulting virtual backbone networks to reliable core infrastructure. The assessment of this approach is done through experiments, which are conducted on a low-cost wireless network deployed on a university campus testbed, which comprises 25 low-cost devices. Each node is assigned an appropriateness parameter used to describe the node’s reliability. The experiments focus on 1-CDS and 2-CDS construction, comparing the virtual backbones resulting from construction where the appropriateness parameter is taken into account, to those where it is not. The results indicate that utilizing the appropriateness parameter yields virtual backbones that are more reliable when 1-CDS is considered, whereas a small decrease in overall reliability is observed in 2-CDS construction.
Determinants of unintended pregnancy and its impact on the health of women in some governorates of Upper Egypt

Background/aim Worldwide, more than half of all unintended pregnancies end in abortion, indicating the preference for increasingly smaller families. The present work aimed to assess the determinants of unintended pregnancy and its impact on women′s health in El Fayoum and Benisuef governorates. Participants and methods A community-based cross-sectional household survey was conducted among 827 married women of reproductive age. The study was conducted in two governorates, El Fayoum and Benisuef, for a period of 6 months. Results The current study revealed that 15.9% of women who participated in the study had an unmet need for family planning, with subsequent unintended pregnancy. Higher age of women and her age at the time of marriage, illiteracy, short interpregnancy spacing, exceeding the desired number of children, negative attitude of husbands toward the use of family planning methods, and absence of discussion between partners on the use of means to postpone pregnancy increased the number of unintended pregnancies. Also, women with unintended pregnancy were at a higher risk of experiencing health problems during her pregnancy. Conclusion Despite the efforts taken by family planners, the problem of unintended pregnancy continues to increase in Egypt, with its adverse effect on pregnancy and maternal outcomes. Therefore, the strategy for maternal mortality reduction in Egypt should focus on addressing the unmet needs of high-parity, uneducated, nonworking women.
Developing Of Health Promotion Of District Hospitals In Thailand

The aim of this research is to investigate the health promotion services provided by district hospitals in the northeast of Thailand in order to improve health promotion guideline for district hospitals. The qualitative research was conducted from January 2009 to March 2010. Informants were the managers, the staff members responsible for developing and providing services of health promotion from 19 small, medium and large-sized district hospitals in the Northeastern region of Thailand. The in-depth interview was employed to gather the information analyzed by using content analysis. It was found that the new health promotion trends in district hospitals in the northeast were as follows. The organizational structures for promoting health were obviously defined while active services inside and outside the hospitals were clearly developed which bring health promotion practices to serviced users. Public policy for health was offered in the form of quality control, information management and active services while environmental management emphasized on creating comfort and learning environments for the hospital staff members and serviced users. Collaborations between professional organizations and multi-level networks had been established by district hospitals resulting in services with more accessibility and strengthening local communities. In addition, personal skill development and public health education yielded change to the health behaviors of hospital staff members, serviced users and people in local communities. For health service reorientation, there was emphasis on development of the quality of local community services in forms of professional standard development and assessment of health behavior outcome. The forms of health promotion provided by district hospitals in the northeast that were found were public policy for health promotion, active services, environmental management for health, community strengthening in form of collaboration networks, personal skill development and public health education for changing behavior, and change of health services. In order to improve health promotion, health promotion policies must be clearly defined and collaboration between stakeholders both inside and outside hospitals must be supported.
Speech Emotion Recognition with Hybrid Neural Network

With rapid development of deep learning technology, great progress has been made in many areas. Convolutional Neural Networks(CNNs) has achieved unprecedented success in the field of computer vision. Recurrent Neural Network(RNNs) and the Attention Mechanism work well for time series tasks. Through investigation a speech emotion recognition(SER) model is proposed in this paper, which based on the CNN, the Long short-term memory(LSTM) and the Attention Mechanism without using any traditional hand-crafted features. Meanwhile, to expand the data set, a new flipping method was proposed for data enhancement. By applying the proposed model and the new data enhancement method to the emotional speech database, the classification result was verified to have better accuracy.
SWIPT-based Mobile Edge Computing Systems: A Stochastic Geometry Perspective

In this paper, we have considered a simultaneous wireless information and power transfer (SWIPT)-enabled mobile edge computing (MEC) system where a low power device (LPD) has to decide either to perform local computation or offloading. A decision strategy has been proposed and the impact of this strategy on a triple trade-off between energy, local computation and offloading has been evaluated. Moreover, in the local computation case, due to the existence of an uploading phase in which results are sent to the MEC server, another communication-computation trade-off has been analysed. In order to provide a system-level perspective on the performance of such a SWIPT-MEC network, we have employed stochastic geometry to characterise these communication-computation trade-offs of the system and we have investigated joint success probability of local computation and offloading.
CS-Based Multiuser Detector for SCMA Systems

In this paper, compressed sensing (CS) based new multiuser detector for sparse code multiple access (SCMA) systems is proposed. Since CS is the theory of sparse signal reconstruction with fewer samples, the proposed method consists of two steps. Firstly, in the initial detection, message passing algorithm (MPA) with several iterations is used. Then, based on the initial detection, the sparse error correction is applied to obtain the error vector more accurately. At this step, compressive sampling matching pursuit (CoSaMP) algorithm, which is one of the greedy algorithms, is used for sparse error correction. The final estimated vector is obtained from combining two vectors from these two steps. The developed method provides better symbol-error ratio (SER) performance with less iteration and less complexity than the original MPA.
Collective Superspin Glass State of Interacting Cobalt Ferrite Nanoparticles

In this article, magnetic and structural characteristics of CoFe<sub>2</sub>O<sub>4</sub> nanopowders with mean diameter 17.8(4) and 63.7(2.4) nm [denoted as NM(18) and CP(60), respectively] were studied by applying X-ray diffraction method (XRD), transmission electron microscopy (TEM), and vibrating sample magnetometer (VSM). It was established that for NM(18), the nanoparticle size corresponds to one crystallite while CP(60) nanoparticle forms a multi-crystallite system which means certain kind of averaging of magnetic moments. Magnetic analysis was performed according to the ZFC-FC protocol in the temperature range of 10–380 K, and magnetization curves <inline-formula> <tex-math notation="LaTeX">$M(H)$ </tex-math></inline-formula> were recorded at the magnetic field up to 7 T. It was shown that, independently on nanoparticle size distribution, the magnetic response of both nanopowders is mainly determined by superspin glass type interaction of magnetic moments corresponding to a single crystallite. In addition, basic magnetic characteristics such as anisotropy constant <inline-formula> <tex-math notation="LaTeX">$K_{1} =$ </tex-math></inline-formula> (3.9–12.5) <inline-formula> <tex-math notation="LaTeX">$\times 10^{5}$ </tex-math></inline-formula> J/<inline-formula> <tex-math notation="LaTeX">$\text{m}^{3}$ </tex-math></inline-formula>, anisotropy field <inline-formula> <tex-math notation="LaTeX">$\mu _{0}H_{\mathrm {A}} = 1.80$ </tex-math></inline-formula>–5.80 T, or magnetic moment per formula unit <inline-formula> <tex-math notation="LaTeX">$\mu =3.45$ </tex-math></inline-formula>(5)<inline-formula> <tex-math notation="LaTeX">$\mu _{\mathrm {B}}$ </tex-math></inline-formula> [for CP(60)] and <inline-formula> <tex-math notation="LaTeX">$\mu =3.50$ </tex-math></inline-formula>(5)<inline-formula> <tex-math notation="LaTeX">$\mu _{\mathrm {B}}$ </tex-math></inline-formula> [for NM(18)] were also determined and discussed.
Metabolic Bone Disease in Very Low-Birth-Weight Neonates

Background: Metabolic bone diseases (MBD), including rickets and osteopenia, are important neonatal complications among preterm infants. This study aimed to determine the prevalence and risk factors of MBD in neonates with very low birth weight (VLBW). Methods: This prospective study was conducted on VLBW infants from January 2012 to July 2013. Inclusion criteria were birth weight of ≤1500 g and age of ≤7 days, and the exclusion criteria were cholestatic disorders, skeletal anomalies and genetic syndromes. Serum calcium, phosphorus and alkaline phosphatase (ALP) concentrations were measured regularly until the 12th week of birth. In addition, wrist and chest radiographs were obtained from the neonates at 8-12 weeks of age. Results: In total, 58 neonates with the mean gestational age of 30.6±2.65 weeks, weight of 1265±262 g and height of 38.06±2.49 cm were enrolled in this study. The correlation between biochemical parameters in multiple analysis and radiological findings of rickets was examined, and a significant association was observed between serum phosphorus level at the first week of age and the incidence of rickets. Moreover, 14 infants had only one radiologic sign of rickets (e.g. fraying, cupping, widening or lack of provisional zone of calcification (PZC), and 8 subjects (13.7%) showed at least two radiologic signs. The prevalence of osteopenia and rickets among infants with birth weight of 1200 g had normal X-rays (P=0.036). Conclusion: Despite the remarkable advances in the management of VLBW infants, MBD is still a prevalent complication during the neonatal period. According to the results of this study, birth weight and gestational age are the most significant risk factors for MBD.
Statistical Channel Modeling for Short Range Line–of–Sight Terahertz Communication

Underutilized spectrum constitutes a major concern in wireless communications especially in the presence of legacy systems and the prolific need for high–capacity applications as well as consumer expectations. From this perspective, Terahertz frequencies provide a new paradigm shift in wireless communications since they have been left unexplored until recently. Such a vast frequency spectrum region extending all the way up to visible light and beyond points out significant opportunities from dramatic data rates on the order of tens of Gbps to a variety of inherent security and privacy mechanisms, and techniques that are not available in the traditional systems. Thus, in this paper, we investigate statistical parameters for short–range line– of–sight channels of Terahertz communication. Short–range measurement campaign within the interval of [3cm, 20cm] are carried out between 275GHz to 325GHz range. Path loss model is examined for different frequencies and distances to provide the insight regarding the effect of the operating frequency. Measurement results are provided with relevant discussions and future directions.
The Social and Cultural Adjustment of Nepalese Students in Pakistan

With the increase in the number of student exchange, programs and scholarships offered by governments in recent years, student mobility across borders has also increased. The Pakistani government also offers different exchange programs and scholarships for foreign students and a number of international students come to Pakistan for their higher studies. This research was conducted to understand the essence of the social and cultural adjustment experiences of Nepalese students enrolled in the University of the Punjab and the study has employed a hermeneutic phenomenological approach for the purpose. The sample consisted of Nepalese female students and the data collection techniques of in-depth interviewing, focus group discussion and review of available literature was used for the study. A triangulation scheme was employed to increase the credibility and validity of the data. The thematic analysis of the data gathered showed that adjustment is an on-going process. The Nepalese students encounter challenges and adjustment issues but parallel with these,
Understanding vaccination refusal: a qualitative study of parents' health beliefs and practices

I DECLARATION II DEDICATION III ACKNOWLEDGEMENTS IV TABLE OF CONTENTS V INTRODUCTION TO THE THESIS 8 THE BACKGROUND TO THE STUDY 8 AIMS OF THE RESEARCH 9 THE STRUCTURE OF THE THESIS 9 THE LITERATURE REVIEW CHAPTER 1 & 2 11 CHAPTER 1. 11 A SHORT HISTORY OF VACCINATION AND A SHORT HISTORY OF DISSENT 1
Design and Validation of a Multifunctional Android-Based Smart Home Control and Monitoring System

Users often need to control and monitor the environmental variables of their homes, even when they are not at home. In this paper, we present a multifunctional, low-cost, and flexible system for smart home control and environmental monitoring. This system employs an embedded micro web server based on an Arduino Yún microcontroller with Internet connectivity that allows remote device control. The proposed system can be controlled via the Internet through an Android-based mobile app. To guarantee access regardless of Internet availability, the proposed system can also be controlled via standalone manual operation using a touch display. The proposed system transmits sensor data to a cloud platform and can receive commands from the server, allowing many devices to be automatically controlled. To demonstrate the feasibility and effectiveness of this system, devices such as light switches, power plugs, and various sensors, including temperature, gas, 2.5- $\mu \text{m}$ particulate matter (PM2.5) and motion sensors, were integrated into a prototype of the proposed home control system. Finally, we implemented the prototype in a model home to validate the flexibility, scalability, usability and reliability of the system.
Supraspinal And Spinal Mechanisms Of Morphine-Induced Hyperalgesia

SUPRASPINAL AND SPINAL MECHANISMS OF MORPHINE-INDUCED HYPERALGESIA by Caroline A. Arout Adviser: Benjamin Kest, Ph.D. Morphine is the most prominent pharmacological treatment for moderate to severe pain in both acute and chronic paradigms. However, morphine notoriously elicits a paradoxical state of increased pain sensitivity known as hyperalgesia that complicates its use in clinical application. Research over the past three decades has reported that morphine-induced hyperalgesia is doseand sex-dependent, and likely involves the synchronous activity of several neural networks beyond the opioid system. Whereas systemic, supraspinal, and spinal administration of morphine all cause hyperalgesia that is differentially reversible by N-methyl-D-aspartate receptor (NMDAR) antagonists or melanocortin-1 receptor (MC1R) antagonists, it is unknown as to whether or not these non-opioid systems that contribute to this state are located supraspinally or spinally. The current studies were performed with the goal of elucidating the precise location of regulatory action of this sexand dosedependent state of morphine hyperalgesia. In all studies, outbred CD-1 male and female mice were pretreated with the general opioid receptor antagonist, naltrexone (NTX) 24 hours prior to morphine treatment. All mice were subsequently implanted with osmotic pumps, continuously dispensing a low (1.6mg/kg/24h) or
FDD Multiuser Massive MIMO Systems with Adaptive Channel Covariance Feedback

Multiple works that address training and pre-coding in FDD massive MIMO systems are based on the assumption that the base station (BS) has a priori knowledge of the users’ downlink (DL) channel covariance matrices. It is already known that columns of DFT (resp. Kronecker product of DFT) matrices approximate covariance eigen-vectors of large uniform linear (resp. rectangular) arrays in the large system limit. Therefore, DFT-based codebooks can be used for covariance eigenvector feedback from the user to the BS in FDD mode for the aforementioned arrays. It is not known, however, how much feedback is required, i.e., how many eigenvectors need to be fed back to the BS for a given DL signal-to-noise-ratio (SNR). The main paper contribution is discussing how the number of fed back covariance eigenvectors should be adapted to the DL SNR to achieve increasing sum rates with increasing SNR, and further discussing the feedback implications on training design. Numerical results scheme show only negligible sum rate losses compared to the case with perfect covariance knowledge at the BS.
Inter-regional comparisons in the pattern of use and needs for institutional care

As the percentage of elderly people increases so does the demand for long-term care services. To ensure that the elderly will be properly cared for in the future, the efficiency of resource utilization needs to be maximized. As a result, the current study looked at the appropriateness of client placement and the annual demands for long-term care in both Western and Labrador health care regions of Newfoundland and Labrador. Comparisons were then made to findings in the St. John's region. -- The appropriateness of client placement, the efficiency of the single entry system and an estimate of the annual demands for long-term care were determined for both Western and Labrador using study populations of 178 and 51 respectively. A tendency to recommend clients for a higher level of care than they required was consistent with previous findings in the St. John's region. The percentage of clients suffering from impaired cognition was also high and Labrador had long waiting times for placement and a high occupancy rate of acute care beds by clients awaiting placement. -- To overcome the issue of inappropriate placement, minimal criteria for placement into supervised care and nursing home care facilities may need to be established. Alternate housing facilities for those with low to modest disability and those suffering from impaired cognition may also reduce the number of inappropriate nursing home placements. To reduce waiting list sizes and time to placement, waiting lists must follow some management scheme, such as placement based on assessed need, and target times for placement must be developed.
Introducing the RODeCAR Database for Deceptive Speech Detection

This work introduces the Romanian Deva Criminal Investigation Audio Recordings (RODeCAR) database, a dataset of truthful and untruthful speech, constructed by analyzing, processing, and cross-examining archived original criminal investigation recordings. The most important advantage to be leveraged when using this database is the casework nature of the content, i.e. all the speakers were suspects or witnesses in real criminal investigations, and all interactions are spontaneous and are part of actual law enforcement activity. Around 5 hours of recorded material have been extracted from archives and processed. With a total number of 19 speakers (4 female, 15 male), 39% of the content is objectively annotated as untruthful, in a global sense. Using a standard framing scheme (25 ms frames with 15 ms overlap), the 1,225,464 available segments would create a large and reliable dataset.