Miracle-dz/UniFAR-FTUs huggingface dataset:
Statistics of correlation functions in the random Heisenberg chain

Ergodic quantum many-body systems satisfy the eigenstate thermalization hypothesis (ETH). However, strong disorder can destroy ergodicity through many-body localization (MBL) -- at least in one dimensional systems -- leading to a clear signal of the MBL transition in the probability distributions of energy eigenstate expectation values of local operators. For a paradigmatic model of MBL, namely the random-field Heisenberg spin chain, we consider the full probability distribution of eigenstate correlation functions across the entire phase diagram. We find gaussian distributions at weak disorder, as predicted by pure ETH. At intermediate disorder -- in the thermal phase -- we find further evidence for anomalous thermalization in the form of heavy tails of the distributions. In the MBL phase, we observe peculiar features of the correlator distributions: a strong asymmetry in $S_i^z S_{i+r}^z$ correlators skewed towards negative values; and a multimodal distribution for spin-flip correlators. A quantitative quasi-degenerate perturbation theory calculation of these correlators yields a surprising agreement of the full distribution with the exact results, revealing, in particular, the origin of the multiple peaks in the spin-flip correlator distribution as arising from the resonant and off-resonant admixture of spin configurations. The distribution of the $S_i^zS_{i+r}^z$ correlator exhibits striking differences between the MBL and Anderson insulator cases.
Effective Half-Life of 131I of Whole-body and Individual Organs for Thyroidectomy Patient Using Scintigraphic Images of γ-camera

A 35-year-old male patient had undergone near-total thyroidectomy was selected for re-estimating T(subscript eff) Effective half-life (T (subscript eff)) of 131I of whole-body and individual organs was evaluated by in-vivo scintigraphic medical imaging with a γ-camera. Post-treatment whole-body scans (WBS) were subsequently performed from day 2 to day 8 after administration of 1.1 GBq of 131I. Pixels of scintigraphic images were obtained from bladder, salivary gland, stomach, testes, thigh, thyroid, and whole-body during 8-day intervals. T(subscript eff) of these organs could be derived using weighting factor intensification methodology. T(subscript eff) ranged from 0.99 to 2.83 days in the whole body as well as individual organs. Our results indicate that T(subscript eff) of the whole body of our thyriodetomy patient was similar to that of those who undergo complete ablation but quite different from normal adults, as reported for ICRP 30. In this study, we established a protocol for evaluating T(subscript eff) with clear scintigraphic images with a γ-camera. Our findings are important as establishing a protocol for re-estimating T(subscript eff) in the whole body, thyroid and some organs of interest.
TREATMENT FOR WEIGHT LOSS OF GRADE III OBESE PATIENTS IN THE HOSPITAL ENVIRONMENT: COMPARATIVE STUDY BETWEEN HOSPITALIZATION AND AMBULATORY PROGRAMS

Introduccion: La obesidad es una enfermedad caracterizada por la acumulacion excesiva de grasa corporal, con efectos nocivos para la salud. Objetivo: Evaluar el impacto de dos programas para el tratamiento de la obesidad grado III: hospitalizacion y ambulatorio, en la perdida de peso y composicion corporal. Metodo: Se realizo un estudio retrospectivo basado en el analisis de las historias clinicas de los pacientes sometidos a los dos programas, entre 1990 y 2005, con la evaluacion de la evolucion del peso, circunferencias corporales (cadera, abdominal, y del brazo), la masa grasa (MG, kg) y masa libre de grasa (MLG, kg). Resultados: Un total de 50 historias clinicas fueron evaluadas, siendo la mayoria (54%), de los pacientes del programa de hospitalizacion (PH). Los dos programas fueron eficaces en la promocion de la perdida de peso, pero esta perdida fue mayor para el PH; que llevo a una reduccion de todas las medidas de las circunferencias corporales y de la MG. Sin embargo, su costo fue 80 veces mayor que el del programa de ambulatorio. Conclusion: Sobre la base de los datos evaluados, a pesar de su costo mucho mas alto, el HP dio resultados mas eficaces en terminos de perdida de peso y en el cambio de la composicion corporal.
Hyperlipidemia and insulin resistance are induced by protease inhibitors independent of changes in body composition in patients with HIV infection.

Although protease inhibitor (PI) therapy has improved the clinical status of patients with HIV infection, concerns have arisen that such treatment may have deleterious effects on glucose control, lipid metabolism, and body fat distribution. To determine whether initiation of PI therapy uniquely affects glucose and lipid metabolism, we analyzed paired data in HIV-infected patients before and after beginning antiretroviral therapy that included a PI (PI; N = 20) or lamivudine (3TC) but no PI (3TC; N = 9); and a control group on stable regimens that included neither of these agents (CONT: N = 12). Measurements included fasting glucose; insulin; triglycerides; total, high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol; HIV RNA; CD4+ lymphocytes; weight; and total and regional body composition. Neither weight nor total or regional fat content changed significantly in any group during the period of observation. Nonetheless, in patients beginning PI therapy, there were significant increases in glucose (+9+/-3 mg/dl; p = .0136), insulin (+12.2+/-4.9 U/ml; p = .023), triglycerides (+53+/-17 mg/dl; p = .0069), and total and LDL cholesterol (+32+/-11 and +18+/-5 mg/dl; p = .0082 and .0026, respectively). None of these parameters changed significantly in the 3TC or CONT groups. The PI and 3TC groups experienced comparable increases in CD4+ lymphocytes, suggesting that the observed metabolic effects may be associated with PIs uniquely, rather than improvement in clinical status. However, it is also possible that the metabolic effects of PIs are associated with more effective viral suppression, because a greater proportion of patients in the PI group achieved undetectable levels of virus. We conclude that changes in glucose and lipid metabolism are induced by PI therapy in the absence of significant changes in weight or fat distribution. Longer periods of follow-up will be required to determine the clinical significance of these changes. However, at the moment, the risks associated with these metabolic effects do not appear to outweigh improvements in survival seen with PI therapy.
Samples of anonymised records from the 1991 census.

The statistical output from the 1991 Census of Great Britain will for the first time include two Samples of Anonymised Records (SARs)--a one per cent hierarchical sample of households and individuals in those households and a two per cent sample of individuals. Differing from traditional census output SARs contain statistics at the individual record level about anonymised households and individuals. This article explains the background to the decision to release SARs the associated confidentiality considerations the uses to which the SARs could be put and the content of the two samples. The SARs are being. [exclusively disseminated] through a special centre at the University of Manchester. (EXCERPT)
Utility of near-infrared spectroscopy in the diagnosis of lower extremity compartment syndrome.

OBJECTIVE To determine the utility of near-infrared spectroscopy in the diagnosis of lower extremity compartment syndrome (CS). METHODS Nine patients with CS confirmed by physical examination and elevated compartment pressures (64 +/- 17 mm Hg) were evaluated before and after fasciotomy. Control readings were also performed on 33 surgical patients who had no evidence of CS. The deltoid muscle was used as a reference value. RESULTS The deltoid muscle oxygen saturation (StO2) readings revealed a mean = 84 +/- 17% prefasciotomy and mean = 83 +/- 12% postfasciotomy in the CS group. The control group had a mean StO2 of 83 +/- 11%. In the CS group, the leg compartment with the highest pressure had a StO2 mean = 56 +/- 27% before fasciotomy. This value was statistically significantly lower (p < 0.05) than either the postfasciotomy mean StO2 in that compartment (82 +/- 16%) or the values found in matched control patients with no evidence of CS (87 +/- 7%). CONCLUSION Near-infrared spectroscopy-derived StO2 values in the lower extremities of trauma patients with CS were diminished relative to the control patients and usually normalized after fasciotomy. Near-infrared spectroscopy evaluation may offer a rapid, noninvasive method of assessing extremities at risk for CS.
Reports and Ratings of Experiences of Hospitalized Smokers and Non-smokers in a Tobacco-free Academic Medical Center

ii Dedication . iii Acknowledgments. iv Vita . v List of Tables . vii Chapter 1: Statement of the Problem . 1 Chapter 2: Background and Significance . 9 Chapter 3: Research Design and Methods . 35 Chapter 4: Results . 59 Chapter 5: Discussion . 108 References . 128
Genotype of Hepatitis B Virus Isolates from Iranian Chronic Carriers of the Virus

Background and Aims: Determination of the genotypes and subtypes of hepatitis B virus (HBV) provides epidemiological data, which can contribute further to vaccination and antiviral treatment strategies, diagnostic development, and prediction of the disease course. The aim of this study was to describe the molecular characterization and phylogenetic analysis of 60 HBV S-region isolated from native Iranian patients with chronic HBV infection. Methods: HBV-positive sera were collected from Iranian patients with hepatitis B infection in Tehran Hepatitis Center. HBV-DNA was extracted and the partial HBV S ORF (677bp) were chosen for amplification and sequencing. Results: By comparing the sequences of HBV isolated from Iranian patients with 50 complete sequences of HBV retrieved from the GenBank database, representing all other existing genotypes, the sequences of all 60 patients were consistent with that of genotype D. All HBV isolates from Iranian patients were clustered in genotype D branch with high bootstrap values. Conclusions: Sixty HBV isolates from Iranian patients with chronic hepatitis B represent homogenous genotypic diversity. These sequences of Iranian HBV genomes may contribute to the information on the genetic diversity of HBV worldwide.
Citation Analysis of Postgraduate Students as a Measure of their Resource Preference

The study was designed to analyze citation of postgraduate masters’ theses produced between the year 2000 and 2008 in the School of Agriculture and Agricultural Technology of Federal University of Technology Owerri with a view to determine their resource preference. It was undertaken as an update of similar study carried out in 2003 and 2004. Using checklist data contained thirty one (31) theses which were submitted in the University library between the year 2000 and 2008 were collated and analyzed using tables, graph, frequency count and percentages. The result revealed that: though the students cited monographs, journals , conference proceedings and; unpublished theses/ dissertations , newspapers, technical reports and newsletters, journals are cited most. The mean number of cited resources for each of the theses is 75.8 out of which 34.12% are journals hence, the students demonstrated preference for journal to other resources for research; current resources were not used by students for research since 53.23% of the resources cited were 20years older than the year the theses were produced; and the most preferred journal for research by the students was the Journal of Animal Production. Other journals which the students preferred for research included Journal of Science of Food and Agriculture, Agronomy Journal and Journal of Agriculture and Food Chemistry. Most of the preferred journals which were available in the Library had their subscription suspended before 1997. Recommendations were made based on the findings.
Dual Communications in MIMO SCMA-Based Secure HetNets

This paper studies a novel dual-mode scheduling framework that jointly performs power allocation, beamforming, and sparse code multiple access (SCMA) based scheduling over microwave and millimeter wave (mmW) bands. We propose a robust secure transmission scheme assuming imperfect channel state information for the eavesdropper links. The proposed scheduling framework allows users to schedule simultaneously on each dual-mode BS, based on SCMA, to maximize the joint access secrecy and backhaul rates under transmit power constraints. It is shown that the proposed scheduling framework can find an effective scheduling solution over both microwave and mmW in polynomial time. Simulation results show that the dual connectivity, and joint solutions have 22.5%, and 20% performance gain compared to only microwave, and the disjoint solution, respectively.
An Analysis of Sender-driven WebRTC Congestion Control Coexisting with QoS Assurance Applied in IEEE 802.11 Wireless LAN

Multimedia communication in the Internet shows evolution from SIP-based to WebRTC architecture which is also related to migration of QoS solutions from RSVP-based to DiffServ-based, supported also in IEEE 802.11. In order to figure out the efficiency of WEbRTC implementation in mobile network, the QoS parameters were used: throughput of media streams, error rate, delay and jitter. During experiments, 4K video streams were transmitted with the use of WebRTC technology via an IEEE 802.11ac network. The results of the experiments were compared with the ones obtained for non-responsive (not congestion controlled) UDP streams. WebRTC transmissions were live transmissions from a web camera, and UDP transmissions were emulated with the use of the iPerf tool. Results of the comparative analysis show that if the total throughput of simultaneously transmitted video streams exceeds the available throughput of the wireless link, the WebRTC is able to scale down the transmitted stream to preserve the real-time character of the stream and significantly reduce the error rate. As a result, the observed bit error rate achieved by the WebRTC was about three orders of magnitude lower than the bit error rate of non-responsive UDP streams. However, this improvement of the quality of service of the WebRTC media streams is at a cost of quality of experience (lower frame rate).
SCAPY- A powerful interactive packet manipulation program

This research paper looks into a state of the art tool for interactive packet manipulation named Scapy which is written in Python language; detail out some vital commands, strengths and weakness, protocols supported, usage explained with snapshots, tracking packets being sent and received using wireshark and scope of future integration with newer protocols. The research paper, tries to give a brief introduction and readable usage and applications using the Scapy tool.
Deep Learning Based Couple-like Cooperative Computing Method for IoT-based Intelligent Surveillance Systems

Given vast expansion of video/data in many Internet of things (IoT) based intelligent surveillance systems, transferring data consumes many internet resources. Real-time intelligent analysis of multichannel digital video streams also poses substantial challenges to traditional central-based computing when applying ubiquitous IoT. In this paper, we put forth a couple-like computing method using cooperative computing between a central server and edge terminal for timely detection of potential risks at construction sites. Specifically, we assemble NVIDIA Jetson TX2 on each surveillance terminal and compute video at 3 frames per second for coarse detection. If the target is identified, the video is then transmitted to the central server for precise detection. The main contributions of this paper are twofold: reducing network traffic and reducing the computational burden for the central server. Our experiment is conducted using IoTbased intelligent surveillance systems at a real construction site to confirm the feasibility of the proposed method.
A Probabilistic Method to Find and Visualize Distinct Regions in Protein Sequences

Studies on identification of species-specific protein regions, i.e., unique or highly dissimilar regions with respect to close species, will lead us to understanding of evolutionary traits, which can be related to novel functionalities or diseases. In this paper, we propose an alignment-free method to find and visualize distinct regions between two collections of proteins. We applied the proposed method, FRUIT, on multiple synthetic and real datasets to analyze its behavior when different rates of substitutional mutation occur. Testing with different k-mer sizes showed that the higher the mutation rate, the higher the relative uniqueness. We also employed FRUIT to find and visualize distinct regions in modern human proteins relatively to the proteins of Altai, Sidron and Vindija Neanderthals. The results show that four of the most distinct proteins, named ataxin -8, 60S ribosomal protein L26, NADH-ubiquinone oxidoreductase chain 3 and cytochrome c oxidase subunit 2 are involved in SCA8, DBAII, LS and MT-CID, and MT-C4D diseases, respectively. There is also Interferon-induced transmembrane protein 3, among others, which is part of the immune system. Besides, we report the most similar primate exomes to the found modern human one, in terms of identity, query cover and length of sequences. The reported results can give us insight to the evolution of proteomes.
Investigation of Bent PCB Laminates for Conformal Antennas at 80 GHz

In automotive radar systems, conformal antennas can increase the view angle of a single sensor and improve the performance. However, if PCBs (printed circuit boards) are used, a curved surface or bends are necessary to connect the antenna with the chip. Therefore, this work focuses on a sharp bend as a worst case scenario and investigates angles between 0° and 30° up to 110 GHz for three materials (PTFE and resin-based). For the sake of the measurement, a meander structure is mounted on holders with different bending angles. The properties of a single bend are extracted by creating a cascaded model of the line with discontinuities. The results show that the bending over an edge causes only a phase degradation due to a longer way of the signal. An explanation for that behaviour is found in an arc around the edge.
Hybrid Terrestrial-Aerial Network for Ultra-Reliable Low-Latency Communication

Ultra-reliable low latency communication (URLLC) is undoubtedly the toughest service class in 5G-NR from the network service provider’s perspective. Different methodologies have been utilized to meet the reliability and latency requirements of URLLC including proposition of various diversity techniques. This paper envisages a hybrid network using terrestrial and flying base stations to provide ubiquitous and reliable service to URLLC users. We propose utilizing the macro-diversity in the hybrid environment by exploiting the significant differences in path loss and shadowing characteristics of flying base stations (FBSs) as compared to the terrestrial base stations (TBSs). Preliminary results are presented to this effect and recommendations are made to their inclusion in the networks for supporting URLLC users in the future.
FI-Net: A Speech Emotion Recognition Framework with Feature Integration and Data Augmentation

Speech emotion recognition, as an important auxiliary component of speech interaction technology, has always been a research hotspot. In this work, we propose a novel framework for speech emotion recognition based on deep neural network. The proposed framework is composed of two main modules: a local feature extractor module that utilizes deep recurrent layers to extract frame-level feature representations and a global feature integration module that learns utterance-level representations for emotion recognition. Two architectures, one multi-granularity convolutional layer and one multi-scale attentive layer are constructed for the feature integration module. Furthermore, we adopt two data augmentation approaches, noise injection and vocal tract length perturbation which both improve the performance and robustness of models and reduce the influence of individual variations. The proposed models achieve recognition accuracies of 92.08% and 90.41% on Emo-DB and CASIA dataset, respectively. In addition, ablation experiments are conducted to show the effectiveness of the proposed feature integration module and data augmentation approaches.
A Multi-Model-based Approach to Detect Cyber Stealth Attacks in Industrial Internet of Things

The Industrial Internet of Things (IIoT) combines industrial systems, the Internet of Things (IoT), and Cloud Computing. Consequently, IIoT enables a more agile and efficient automation, control and orchestration of future industrial systems, while improving the energy efficiency in smart factories. Unfortunately, while the benefits of IIoT are undeniable, their pervasive adoption as key enablers for future industries also paved the way for new security risks. As a response to newly emerging threats and disruptive cyber attacks, this paper documents a methodology for detecting cyber stealth attacks against IIoT. Cyber stealth attacks denote the ability of the attacker to remain in a stealth state (i.e., not to be detected) during the execution of a cyber attack. The developed methodology leverages a two-tiered approach, where the first tier uses individual anomaly detection engines implemented with the help of artificial neural networks, while the second tier adopts Dempster-Shafer's “Theory of Evidence” in order to aggregate the evidence from a distributed set of detection engines. Experimental results against a continuous stirred-tank reactor (CSTR) model demonstrate the applicability to IIoT.
A Hybrid Filter for Wideband Frequency Harmonics Eliminating

A hybrid filter (HF) which contains a passive part and an active part is proposed to eliminate wideband frequency harmonics ranging from low-order harmonics to high-order harmonics in high-voltage occasions. To decrease the capacity of the active part, the active part is connected in series with the fundamental parallel resonance circuit and, thus, greatly reduces its voltage ratings of active part. The passive part made up of fundamental parallel resonance circuit (PRC1), resistance R1, 3rd harmonic parallel resonance circuit (PRC3) and 5th harmonic parallel resonance circuit (PRC5) connected in series, acts as a filter which filtering the high-order harmonics. Furthermore, the configuration of PRC3 and PRC5 can block 3rd and 5th harmonic currents flowing through itself, which ensures a better compensation for the low-order harmonic currents. The simulation and a small-scale protype are built. The simulation and experimental results verify that the proposed HF has a better compensation effect to the wideband frequency harmonics.
Harmonic Filtering in DFIG-based Offshore Wind Farm through Resonance Damping

Stimulation of resonance in large-scale DFIG-based Offshore Wind Farm (OWF) may induce large harmonic distortions. To identify and damp resonance effectively, Resonance Mode Analysis (RMA) is conducted to a DFIG-based OWF. Participation Factors (PF) are used to identify the most contributing system buses to certain resonances. On this basis, a Medium Voltage (MV) LC-filtered active damper is proposed and applied on buses with the largest PFs. Active dampers are controlled to adaptively damp resonances at up to several kHz through emulating virtual resistances at detected resonance frequencies. Numerical simulations in MATLAB/Simulink demonstrate the RMA results and effectiveness of the proposed damping strategy.
A Radar Target Simulator for Generating Micro-Doppler-Signatures of Vulnerable Road Users

In this contribution, a radar target simulator for generating time-varying Doppler shifts to simulate micro-Doppler signatures of vulnerable road users, is presented. The radar target simulator is designed to evaluate automotive radar sensors used in the near surroundings of vehicles. The maximum bandwidth of the radar signals that can be tested is 1.5 GHz. By using a DAC it is possible that arbitrary micro-Doppler signatures can be generated.