Miracle-dz/UniFAR-FTUs huggingface dataset:
A Joint Coded Two-Step Multiuser Detection Scheme for MIMO OFDM System

Multiple-input, multiple-output (MIMO) communication is an effective scheme to improve wireless communication performance of multiuser applications. However, reliable communication in multiuser systems is affected by the presence of both multi-access interference (MAI) and inter-symbol interference (ISI) in multi-path channels. In this paper, we therefore investigate a transceiver design for a wideband multiuser-MiMO communication system, where the co-channel users are equipped with multiple transmit and multiple receive antennas. In particular, we propose a two-step interference cancellation scheme with an error correction coding technique for the receiver of a multiuser uplink system. The scheme employs orthogonal frequency division multiplexing (OFDM) modulation and space-time block codes (STBC). The receiver performs as a soft output multiuser detector based on minimum mean-squared error (MMSE) interference suppression at the first stage, and then, MAI cancellation is implemented with a bank of single-user channel decoders. The paper also includes computer simulations which help to improve the understanding of specific issues involved in the design of multiuser STBC-OFDM systems, and confirm the utility of the proposed approach.
Patient perceptions of a comprehensive telemedicine intervention to address persistent poorly controlled diabetes

Objective We studied a telemedicine intervention for persistent poorly controlled diabetes mellitus (PPDM) that combined telemonitoring, self-management support, and medication management. The intervention was designed for practical delivery using existing Veterans Affairs (VA) telemedicine infrastructure. To refine the intervention and inform the delivery of the intervention in other settings, we examined participants’ experiences. Methods We conducted semistructured interviews with 18 Veterans who completed the intervention. We analyzed interview text using directed content analysis and categorized themes by hemoglobin A1c (HbA1c) improvement (<1% or ≥1%). Results Participants generally reported greater awareness of their blood glucose levels; however, they described dissatisfaction with the telemonitoring interface and competing demands during the intervention. Participants with <1% HbA1c improvement reported that these challenges interfered with their engagement. Participants with ≥1% HbA1c improvement reported new self-management routines despite challenges. Conclusion Despite competing demands and frustration with the telemonitoring interface, many participants demonstrated intervention engagement and substantial improvement in HbA1c ($1%). Differences in engagement may reflect differing capacity to manage treatment burden. Because it relies on existing infrastructure, this intervention is a promising model for addressing PPDM within VA. Future work should focus on optimizing systems’ telemedicine infrastructure; while reliance on existing infrastructure may facilitate practical delivery, and it may also limit intervention engagement by excessively contributing to treatment burden.
A Switch Architecture Guaranteeing QoS Provision and HOL Blocking Elimination

Both QoS support and congestion management techniques become essential to achieve good network performance in current high-speed interconnection networks. The most effective techniques traditionally considered for both issues, however, require too many resources for being implemented. In this paper we propose a new cost-effective switch architecture able to face the challenges of congestion management and, at the same time, to provide QoS. The efficiency of our proposal is based on using the resources (queues) used by RECN (an efficient Head-Of-Line blocking elimination technique) also for QoS support, without increasing queue requirements. Provided results show that the new switch architecture is able to guarantee QoS levels without any degradation due to congestion situations.
A New Global Routing Algorithm For FPGAs

As in traditional ASIC technologies, FPGA routing usually consists of two steps: global routing and detailed routing. Unlike existing FPGA detailed routers, which can take full advantage of the special structures of the programmable routing resources, FPGA global routing algorithms still greatly resemble their counterparts in the traditional ASIC technologies. In particular, the routing congestion information of a switch block essentially is still measured by the numbers of available rows and columns in the switch block. Since the internal architecture of a switch block decides what can route through the block, the traditional measure of routing capacity is no longer accurate. In this paper, we present an accurate measure of switch block routing capacity. Our new measure considers the exact positions of the switches inside a switch block. Experiments with a global router based on these ideas show an average improvement of 38% in the channel width required to route some benchmark circuits using a popular switch block, compared with an algorithm based on the traditional methods for congestion control.
Spiritual Struggles and Religious Cognitive Behavioral Therapy: A Randomized Clinical Trial in those with Depression and Chronic Medical Illness

Objectives Compared the effectiveness of religious cognitive-behavioral therapy (RCBT) versus conventional CBT (CCBT) on reducing spiritual struggles in persons with major depressive disorder (MDD) and medical illness. Methods Participants were randomized to receive 10 sessions of RCBT (n = 65) or CCBT (n = 67). Spiritual struggles were assessed at baseline, 12, and 24 weeks using the Brief RCOPE. Mixed effects growth curve models compared the effects of treatment on change in spiritual struggles. Results RCBT and CCBT reduced spiritual struggles to a similar degree over time (B = −0.48, SE = 0.31, df = 151, t = −1.53, p = .127, d = 0.25). Similar results were found in those with high religiosity and with high spiritual struggles at baseline. Higher baseline spiritual struggles predicted a slower decline in MDD (B = 0.47, SE = 0.20, t = 2.30, p = .022) independent of treatment group. Conclusions RCBT and CCBT are equally effective in reducing spiritual struggles in persons with MDD and medical illness. High spiritual struggles decrease the response of MDD to both RCBT and CCBT. These findings have treatment implications.
HypoxiaDB: a database of hypoxia-regulated proteins

There has been intense interest in the cellular response to hypoxia, and a large number of differentially expressed proteins have been identified through various high-throughput experiments. These valuable data are scattered, and there have been no systematic attempts to document the various proteins regulated by hypoxia. Compilation, curation and annotation of these data are important in deciphering their role in hypoxia and hypoxia-related disorders. Therefore, we have compiled HypoxiaDB, a database of hypoxia-regulated proteins. It is a comprehensive, manually-curated, non-redundant catalog of proteins whose expressions are shown experimentally to be altered at different levels and durations of hypoxia. The database currently contains 72 000 manually curated entries taken on 3500 proteins extracted from 73 peer-reviewed publications selected from PubMed. HypoxiaDB is distinctive from other generalized databases: (i) it compiles tissue-specific protein expression changes under different levels and duration of hypoxia. Also, it provides manually curated literature references to support the inclusion of the protein in the database and establish its association with hypoxia. (ii) For each protein, HypoxiaDB integrates data on gene ontology, KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway, protein–protein interactions, protein family (Pfam), OMIM (Online Mendelian Inheritance in Man), PDB (Protein Data Bank) structures and homology to other sequenced genomes. (iii) It also provides pre-compiled information on hypoxia-proteins, which otherwise requires tedious computational analysis. This includes information like chromosomal location, identifiers like Entrez, HGNC, Unigene, Uniprot, Ensembl, Vega, GI numbers and Genbank accession numbers associated with the protein. These are further cross-linked to respective public databases augmenting HypoxiaDB to the external repositories. (iv) In addition, HypoxiaDB provides an online sequence-similarity search tool for users to compare their protein sequences with HypoxiaDB protein database. We hope that HypoxiaDB will enrich our knowledge about hypoxia-related biology and eventually will lead to the development of novel hypothesis and advancements in diagnostic and therapeutic activities. HypoxiaDB is freely accessible for academic and non-profit users via http://www.hypoxiadb. com. Database URL: http://www.hypoxiadb. com
Improved Cyberbullying Detection Through Personal Profiles

Online social networks brought a new definition to relationships and communications. One may have hundreds of friends in cyberspace without even having seen their real faces. Along with this transition there is increasing evidence that bullying has transformed as well, from school yards to internet precincts – cyberbullying. Although bullying draws a lot of attention, due to its technical aspects, cyberbullying is not fully understood yet. State-of-the-art studies in cyberbullying detection have mainly focused on the sentiment of terms and the content of conversations, while largely ignoring the involved actors and their interactions. A funny chat between teenage friends, just because of having foul words, can be flagged as bullying while a tenacious intruder with subtle but hurtful comments sneaks out. We hypothesize that incorporation of the potential victim’s profile and their characteristics, into cyberbullying detection improves the discrimination capacity of the procedure. This study outlines a framework for this faceted approach. Our study demonstrated that deploying gender-specific and age-specific features improve the cyberbullying detection accuracy for the MySpace dataset, compared to the conventional approaches. Analysis showed that authors’ information can be leveraged to discriminate between harassing posts and the bullying ones. The main limitation of our experiment was the limited size of the dataset. A larger and more diverse dataset should be developed for future work in cyberbullying detection. Other features which may differentiate writing styles, such as profession, and educational level can also be investigated in this matter. In future stages this approach will be extended by considering the behaviour of actors across social networks, and how they react to a potentially cyberbullying incident. A second line of future research will be to address the various use scenarios for the detection of bullying as well as the corresponding detection approaches that may be required in each of the different types of cyber contexts.
A general model for bidirectional associative memories

This paper proposes a general model for bidirectional associative memories that associate patterns between the X-space and the Y-space. The general model does not require the usual assumption that the interconnection weight from a neuron in the X-space to a neuron in the Y-space is the same as the one from the Y-space to the X-space. We start by defining a supporting function to measure how well a state supports another state in a general bidirectional associative memory (GBAM). We then use the supporting function to formulate the associative recalling process as a dynamic system, explore its stability and asymptotic stability conditions, and develop an algorithm for learning the asymptotic stability conditions using the Rosenblatt perceptron rule. The effectiveness of the proposed model for recognition of noisy patterns and the performance of the model in terms of storage capacity, attraction, and spurious memories are demonstrated by some outstanding experimental results.
Production and PFM Characterization of Barium Titanate Nanofibers

Continuous nanofibers of barium titanate (BaTiO3) with average diameter of 150–300 nm have been produced by means of mutual sol-gel and electrospinning routines with subsequent calcination step. The structural characterization of the obtained nanofibers has been performed by XRD and Raman spectroscopy. Their individual grain and domain structures were studied by piezoresponse force microscopy (PFM). The results show that the fibers consist of stacked tetragonal ferroelectric BaTiO3 grains with average size of about 50–100 nm and random initial orientations. The piezoelectric response is similar to that obtained for domain model in ferroelectric tetragonal perovskites.
Low-Temperature Au-to-Au Bonding for LiNbO3/Si Structure Achieved in Ambient Air

A lithium niobate (LiNbO3)/silicon (Si) hybrid structure has been developed by the surface-activated bonding of LiNbO3 chips with gold (Au) thin film to Si substrates with patterned Au film. After organic contaminants on the Au surfaces were removed using argon radiofrequency plasma, Au-to-Au bonding was carried out in ambient air. Strong bonding at significantly low temperatures below 100◦C without generating cracks has been demonstrated. key words: low-temperature bonding, Au-to-Au bonding, surface-activated bonding, lithium niobate/silicon structure, hybrid integration
Detect of Novel Alternative Form at Development Stages in Brain

The total size of mouse genomic DNA sequences in GenBank exceeds 100 million bases and is risingexponentially [5]. But the function of mouse genome is uncharacterized in many elds. The mostof DNA sequences in GenBank consist of EST(Expression Sequence Taq)s and mRNA. Databases ofmouse ESTs derived from more than 600 distinct tissue-speci c libraries, and from largely di erencesdevelopment stage (from embryos to age 75). These are involved so many information which is need tostudy of analysis biological mechanism. Especially, EST is a rich source of distinct alternative splicingthat is one of the important biological mechanisms of the functional complexity of the mouse genome.Recently, the study of alternative splicing is increased in genome research by the development ofcomputational analysis; software tool. Most of the splice variant is used to study of ESTs, especiallytissue speci c but don’t use the information of development stage.In this paper, we use the development information of ESTs to detect novel alternative form inBrain. We explain the expression pattern of gene for each development stage. Moreover, we expectthat speci c splice variants are associated with mouse disease of brain speci c.
Cloud Computing-Based Building Energy Management System with ZigBee Sensor Network

As the Smart Grid is spreading, the importance of BEMS (Building Information Management System) is also increasing. For providing various and high quality services in the existing BEMS, each entity consisting of BEMS is improved. According to coverage area of a building, the number of the entity can be huge so it causes a burden of users. In this paper, we propose the Cloud computing-based BEMS. This system lessens a burden of each entity such as compute and storage resources, and the burden is taken by a centralized server, called System Manager in this paper. Therefore, every entity's performance is minimized, and quality of services maintains.
Development of Semi-Circular Bending (SCB) Fracture Test for Bituminous Mixtures

Granted that most distresses in asphalt (flexible) concrete (AC) pavements are directly related to fracture, it becomes clear that identifying and characterizing fracture properties of AC mixtures is a critical step towards a better pavement design. This thesis examines the testing variables of a reliable and practical semicircular bending (SCB) test for evaluating the fracture characteristics of asphalt concrete mixtures at intermediate service temperature conditions. The first part of this thesis investigates the repeatability of the SCB fracture test method by integrating a statistical-experimental approach to identify testing variables of the SCB test that result in repeatable test results. Toward this end, five testing variables (the number of testing specimens, specimen thickness, notch length, loading rate, and testing temperature) of the SCB test were investigated due to their significant effects on mixture fracture characteristics. After statistical analysis of 18 specimens tested a typical testing variables, approximately, five to six specimens/replicates were found to be a reasonable sample size that could properly represent asphalt concrete fracture behavior using the SCB test method. The coefficient of variation (COV) of the mixture fracture energy was used to evaluate the effect of each variable on the repeatability of test results. A range of 1 mm/min. to 5 mm/min. for the loading rate, a notch length from 5 mm to 25 mm, and a specimen thickness of 40 mm to 60 mm and a testing temperature of 15-40°C showed the lowest variation of fracture energy. The second part of this work is to investigate the sensitivity of the SCB test using the previously determined testing variables. Fourteen different asphalt concrete (AC) mixtures collected from 12 field construction projects in Nebraska were used in this task. The ANOVA test showed statistically significant differences between mixtures at a 95% confidence level. Tukey's HSD multiple-comparison analysis found similarities within mixtures of same types and significant difference between mixtures types. In addition, the fracture energy of bituminous mixtures increased with increasing amount of virgin asphalt content in mixture. Overall, the SCB test method developed herein proved to be repeatable and sensitive to changes in mixtures, and thus a promising tool for evaluating the fatigue fracture resistance of AC mixtures. iv DEDICATION To my beloved mother and my late father. v ACKNOWLEDGEMENT I would like to thanks my adviser and committee member Yong-Rak Kim for the invaluable insights that opened my eyes on my research and academic life. He always …
Frequent Promoter Hypermethylation of the APC and RASSF1A Tumour Suppressors in Parathyroid Tumours

Background Parathyroid adenomas constitute the most common entity in primary hyperparathyroidism, and although recent advances have been made regarding the underlying genetic cause of these lesions, very little data on epigenetic alterations in this tumour type exists. In this study, we have determined the levels of promoter methylation regarding the four tumour suppressor genes APC, RASSF1A, p16INK4A and RAR-β in parathyroid adenomas. In addition, the levels of global methylation were assessed by analyzing LINE-1 repeats. Methodology/Principal Findings The sample collection consisted of 55 parathyroid tumours with known HRPT2 and/or MEN1 genotypes. Using Pyrosequencing analysis, we demonstrate APC promoter 1A and RASSF1A promoter hypermethylation in the majority of parathyroid tumours (71% and 98%, respectively). Using TaqMan qRT-PCR, all tumours analyzed displayed lower RASSF1A mRNA expression and higher levels of total APC mRNA than normal parathyroid, the latter of which was largely conferred by augmented APC 1B transcription levels. Hypermethylation of p16INK4A was demonstrated in a single adenoma, whereas RAR-β hypermethylation was not observed in any sample. Moreover, based on LINE-1 analyses, parathyroid tumours exhibited global methylation levels within the range of non-neoplastic parathyroid tissues. Conclusions/Significance The results demonstrate that APC and RASSF1A promoter hypermethylation are common events in parathyroid tumours. While RASSF1A mRNA levels were found downregulated in all tumours investigated, APC gene expression was retained through APC 1B mRNA levels. These findings suggest the involvement of the Ras signaling pathway in parathyroid tumorigenesis. Additionally, in contrast to most other human cancers, parathyroid tumours were not characterized by global hypomethylation, as parathyroid tumours exhibited LINE-1 methylation levels similar to that of normal parathyroid tissues.
Music conductor gesture recognized interactive music generation system

In the research of interactive music generation, we propose a music generation method, that the computer generates the music automatically, and then the music will be arranged under the human music conductor's gestures, before it outputs to us. In this research, the generated music is processed from chaotic sound, which is generated from the network of chaotic elements in realtime. The music conductor's hand motions are detected by Microsoft Kinect in this system. Music theories are embedded in the algorithm, as a result, the generated music will be richer. Furthermore, we constructed the music generation system and performed the experiment for generating the music composed by human beings.
Title: Differential Coding by Two Olfactory Subsystems in the Honey Bee Brain Abbreviated Title: Odor Coding in Parallel Olfactory Subsystems 2 3 4

Authors’ Addresses: 7 1 Université de Toulouse (UPS); Centre de Recherches sur la Cognition Animale; 118 route de 8 Narbonne, F-31062 Toulouse Cedex 9, France 9 2 Centre National de la Recherche Scientifique (CNRS); Centre de Recherches sur la Cognition 10 Animale; 118 route de Narbonne, F-31062 Toulouse Cedex 9, France 11 3 Evolution, Genomes and Speciation Lab, CNRS (UPR 9034), 1 avenue de la Terrasse, F-91198 12 Gif-sur-Yvette Cedex, France. 13 14 15
Controlling for confounding network properties in hypothesis testing and anomaly detection

Ph.D., Purdue University, August 2016. Controlling For Confounding Network Properties in Hypothesis Testing and Anomaly Detection. Major Professor: Jennifer Neville. An important task in network analysis is the detection of anomalous events in a network time series. These events could merely be times of interest in the network timeline or they could be examples of malicious activity or network malfunction. Hypothesis testing using network statistics to summarize the behavior of the network provides a robust framework for the anomaly detection decision process. Unfortunately, choosing network statistics that are dependent on confounding factors like the total number of nodes or edges can lead to incorrect conclusions (e.g., false positives and false negatives). In this dissertation we describe the challenges that face anomaly detection in dynamic network streams regarding confounding factors. We also provide two solutions to avoiding error due to confounding factors: the first is a randomization testing method that controls for confounding factors, and the second is a set of size-consistent network statistics which avoid confounding due to the most common factors, edge count and node count.
Chapter 6, Economic Indicators of Sustainable Development in Fish Culture

This chapter presents a number of micro and institutional economic indicators for fish farming that arguably satisfy the basic criteria for measuring sustainable development as a human-centred and development-oriented concept. The indicators are suggested as supplements to the Total Factor Productivity (TFP) and the Relative Labour Productivity (RLP) methods, which can evaluate aquaculture from a macro, sectoral and firm perspective, to measure the economic dimension of sustainability of the fish culture industry.