Miracle-dz/UniFAR-FTUs huggingface dataset:
Fixed Mobile Convergence Architectures for Broadband Access: Integration of EPON and WiMAX [Topics in Optical Communications]

EPON and WiMAX are two promising broadband access technologies for new-generation wired and wireless access. Their complementary features motivate interest in using EPON as a backhaul to connect multiple dispersed WiMAX base stations. In this article we propose four broadband access architectures to integrate EPON and WiMAX technologies. The integrated architectures can take advantage of the bandwidth benefit of fiber communications, and the mobile and non-line-of-sight features of wireless communications. Based on these integrated architectures, we elaborate on related control and operation issues to address the benefits gained by this integration. Integration of EPON and WiMAX enables fixed mobile convergence, and is expected to significantly reduce overall design and operational costs for new-generation broadband access networks.
Development of antisense oligonucleotide (ASO) technology against Tgf‐β signaling to prevent scarring during flexor tendon repair

Flexor tendons (FT) in the hand provide near frictionless gliding to facilitate hand function. Upon injury and surgical repair, satisfactory healing is hampered by fibrous adhesions between the tendon and synovial sheath. In the present study we used antisense oligonucleotides (ASOs), specifically targeted to components of Tgf‐β signaling, including Tgf‐β1, Smad3 and Ctgf, to test the hypothesis that local delivery of ASOs and suppression of Tgf‐β1 signaling would enhance murine FT healing by suppressing adhesion formation while maintaining strength. ASOs were injected in to the FT repair site at 2, 6 and 12 days post‐surgery. ASO treatment suppressed target gene expression through 21 days. Treatment with Tgf‐β1, Smad3 or Ctgf ASOs resulted in significant improvement in tendon gliding function at 14 and 21 days, relative to control. Consistent with a decrease in adhesions, Col3a1 expression was significantly decreased in Tgf‐β1, Smad3 and Ctgf ASO treated tendons relative to control. Smad3 ASO treatment enhanced the maximum load at failure of healing tendons at 14 days, relative to control. Taken together, these data support the use of ASO treatment to improve FT repair, and suggest that modulation of the Tgf‐β1 signaling pathway can reduce adhesions while maintaining the strength of the repair. © 2015 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 33:859–866, 2015.
Transporter‐Mediated Alterations in Patients With NASH Increase Systemic and Hepatic Exposure to an OATP and MRP2 Substrate

The expression of hepatic transporters, including organic anion transporting polypeptides (OATPs) and multidrug resistance‐associated proteins (MRPs), is altered in nonalcoholic steatohepatitis (NASH); however, functional data in humans are lacking. In this study, 99mTc‐mebrofenin (MEB) was used to evaluate OATP1B1/1B3 and MRP2 function in NASH patients. Healthy subjects (n = 14) and NASH patients (n = 7) were administered MEB (∼2.5 mCi). A population pharmacokinetic model was developed to describe systemic and hepatic MEB disposition. Study subjects were genotyped for SLCO1B1 variants. NASH increased systemic and hepatic exposure (median ± 2 SE, healthy vs. NASH) to MEB (AUC0‐300,blood: 1,780 ± 242 vs. 2,440 ± 775 μCi*min/L, P = 0.006; AUC0‐180,liver: 277 ± 36.9 vs. 433 ± 40.3 kcounts*min/sec, P < 0.0001) due to decreased biliary clearance (0.035 ± 0.008 vs. 0.017 ± 0.002 L/min, P = 0.0005) and decreased Vcentral (11.1 ± 0.57 vs. 6.32 ± 1.02 L, P < 0.0001). MEB hepatic CLuptake was reduced in NASH and also in healthy subjects with SLCO1B1 *15/*15 and *1A/*15 genotypes. The pharmacokinetics of drugs that are OATP1B1/1B3 and MRP2 substrates may be substantially altered in NASH.
Force Sensing and Control in Micromanipulation

In micromanipulation, the size of the manipulated object is usually much less than 1 mm in a single dimension, in which case gravitational and inertial forces are no longer dominant. This leads to problems (for manipulation through force) that are not evident in the macroworld, and for which the macroworld techniques alone may not be adequate to provide solutions. This paper surveys critical issues and their available solutions related to force control in micromanipulation. It focuses on: 1) techniques for dealing with adhesion forces and 2) methods for force sensing and control
IHIDS: Introspection-based hybrid intrusion detection system in cloud environment

Cloud Computing offers on demand services of infrastructure (servers, storage and network), platform (operating systems and databases) and software (applications) over the Internet on pay-as-you-use model. Security is of pre-eminent interest in this new era of computing as many e-commerce and social networking sites move their operations to the Cloud. One of the approaches to protect the Cloud Environment is to create a highly efficient system for Intrusion Detection which can handle both outsider as well as insider attacks. This paper proposes a misuse detection system at hypervisor layer to detect the inter-VM attacks in a virtual environment. It is named as Introspection-based Hybrid approach for Intrusion Detection System for Cloud (IHIDS). Virtual Machine Introspection (VMI) provides the needed system call sequences at the hypervisor layer. The proposed Hybrid model integrates information and evidence from system-wide process monitoring and the virtual network traffic analysis. The main focus of the paper is to detect intrusion at hypervisor layer by simultaneously analyzing network traffic and system calls. Anomalous behavior among tenant VMs caused because of Flooding and Port Scanning attacks is detected. The proposed technique is light-weight as there is no need to hold a large amount of data at any instance of time. It is efficient as well, in terms of complexity and resources it utilizes. It is validated against the dataset created in our lab and results are encouraging.
Adiponectin: Novelties in Metabolism and Hormonal Regulation

Abstract Adiponectin is a protein secreted exclusively by white adipose tissues and is abundantly present in human plasma. Adiponectin was found decreased in obese and diabetes mellitus type 2 patients and increased with weight reduction. A negative correlation between circulating adiponectin levels and body mass index and insulin resistance has been demonstrated. Plasma adiponectin concentrations were found lower in diabetes mellitus type 2 patients with coronary artery disease. Moreover, studies in aortic endothelial cells revealed that the protein exerts a dose-dependent decrease of the surface expression of vascular adhesion molecules and cytokine production from macrophages, suggesting the implication of adiponectin in atherosclerosis and inflammation. Weight loss and treatment with thiazolidinediones stimulate endogenous adiponectin production. Peripheral administration of adiponectin leads to reduction of visceral adiposity and increase of free fatty acid oxidation and insulin resistance. Furthermore, it enhances the expression of uncoupling proteins and sympathetic nerve activity in adipose tissues. Experimental studies in mice have shown that intraperitoneal administration of adiponectin lowers plasma glucose. These data show adiponectin to be an important factor in the issue of obesity and its associated disorders, and indicate a potential future utilization of adiponectin as a drug in the treatment of metabolic syndrome.
Increasing daily walking lowers blood pressure in postmenopausal women.

PURPOSE The American College of Sports Medicine and the Centers for Disease Control and Prevention (ACSM-CDC) recommend 30 min of daily moderate-intensity physical activity for health; however, the effectiveness of this recommendation in lowering blood pressure (BP) in hypertensives is unclear. The present study tested the hypothesis that walking activity following the ACSM-CDC physical activity recommendation would lower BP in postmenopausal women with high BP. METHODS Resting BP was measured in 24 postmenopausal women with borderline to stage 1 hypertension at baseline, 12 wk, and 24 wk. Fifteen women in the exercise (EX) group walked 3 km.d-1 above their daily lifestyle walking, whereas 9 women in the control (CON) group did not change their activity. Walking activity was self-measured with a pedometer in both groups. RESULTS Resting systolic BP was reduced in the EX group after 12 wk by 6 mm Hg (P < 0.005) and was further reduced by 5 mm Hg at the end of 24 wk (P < 0.005). There was no change in diastolic BP with walking. The CON group experienced no change in BP at either 12 or 24 wk. Body mass was modestly reduced by 1.3 kg in the EX group after 24 wk (P < 0.05); however, it was not correlated with the change in BP. There were no changes in selected variables known to impact BP including percent body fat, fasting plasma insulin, or dietary intake. CONCLUSION In conclusion, a 24-wk walking program meeting the ACSM-CDC physical activity recommendation is effective in lowering systolic BP in postmenopausal women with borderline to stage 1 hypertension.
Research on electromagnetic performance of a novel radial magnetic-field-modulated brushless double-rotor machine

A novel radial magnetic-field-modulated brushless double-rotor machine (MFM-BDRM), which is the key part of compound-structure permanent-magnet synchronous motor (CS-PMSM), is proposed in this paper. The speed and torque relations of the first-stator magnetic field, the first PM rotor and the modulating ring rotor are investigated by analytical method. The harmonic components of magnetic field in the inner and outer air gap are analyzed by finite-element method (FEM), when the PM magnetic field and armature field work independently. Furthermore, electromagnetic performances of two typical schemes are analyzed, which shows that torque ripples are the major problem of the radial MFM-BDRM. Some methods are proposed to reduce the torque ripples and validated by FEM.
A liquid conductivity measurement system based on electromagnetic induction

Electromagnetic measurement method was a non-contact biological tissue conductivity measurement technology. This paper presented a liquid conductivity measurement system based on electromagnetic induction; phase difference information of induced magnetic field was used as detection signal in the system. Firstly, the system was composed of excitation source based on directly digital synthesis, phase detector based on SR844 RF lock-in amplifier, excitation-detection coils sensor and signal processing circuit. Secondly, the maximum error of exciting source frequency accuracy was 2.4%, the phase drift of system was 0.001° /min, the phase resolution was 0.02°, the minimum conductivity could be detected by this system was 0.004S/m. Finally, the saline solution experiments of different concentration and different kinds of drinking water were made by this system, the experimental results demonstrated that the system could obviously identify category of water, and measurement results were consistent with the theory of electromagnetic field.
Active repression of transcription by the engrailed homeodomain protein.

The Drosophila engrailed gene product (En) is a homeodomain‐containing protein that contributes to segmental patterning. In transfection assays it acts as a transcriptional repressor. We show that En is an active repressor, blocking activation by mammalian and yeast activators that bind to sites some distance away from those bound by En. Active repression is distinct from the effects of passive homeodomain‐containing proteins, which repress when competing with activators for binding sites and activate when competing with En. Active repression activity maps outside the En homeodomain, and this activity can be transferred to a heterologous DNA binding domain.
A Framework for Assessment of the Influence of China’s Urban Underground Space Developments on the Urban Microclimate

The paper aims to establish the framework for linking underground space projects and the urban microclimate, in order to construct an interdisciplinary research framework. Based on the combination of underground space, urban form and the urban microclimate, the impacts of underground space on urban microclimate factors above ground and underground are summarized and the internal mechanism is investigated. The above ground factor refers to the impact of a new urban form induced by the underground space planning on the urban microclimate. The underground factor refers to the impact of the control of the internal environment of underground space on the ground environment. This study mainly addresses two aspects. Firstly, to identify the influencing factors of urban underground space microclimate and define the research entry point and classify the indicator of the external space environment; secondly, to address the key issues of the research areas and their influence on the urban underground space project and the urban microclimate in the current phase and establish the direction of future research. The microclimate case of the Nanjing underground planning is provided to preliminarily analyze how underground space development improves the urban microclimate. By the comparative analysis of microclimate parameters, air quality parameters, and outdoor thermal environment parameters (Mean Radiant Temperature, MRT), the influences and benefits of underground space projects on the urban microclimate is quantitatively explored.
Variant Priorization and Analysis Incorporating Problematic Regions of the Genome

In case-control studies of rare Mendelian disorders and complex diseases, the power to detect variant and gene-level associations of a given effect size is limited by the size of the study sample. Paradoxically, low statistical power may increase the likelihood that a statistically significant finding is also a false positive. The prioritization of variants based on call quality, putative effects on protein function, the predicted degree of deleteriousness, and allele frequency is often used as a mechanism for reducing the occurrence of false positives, while preserving the set of variants most likely to contain true disease associations. We propose that specificity can be further improved by considering errors that are specific to the regions of the genome being sequenced. These problematic regions (PRs) are identified a-priori and are used to down-weight constitutive variants in a case-control analysis. Using samples drawn from 1000-Genomes, we illustrate the utility of PRs in identifying true variant and gene associations using a case-control study on a known Mendelian disease, cystic fibrosis(CF).
Maximizing dual cell connectivity opportunities in LTE small cells deployment

Most of the LTE (Long Term Evolution) network operators are deploying low power small cells in hotspots like airports, shopping malls and corporate offices to meet increasing data demands. Since users are not deemed to fixed locations in such places, the network experiences uneven distribution of traffic load across the cells which degrades the average user throughput. This problem is even more severe if the deployment of small cells is unplanned. In order to address this, in this work, we propose two variant of small cell placement models: an optimal Femto placement with full power (OPT-FP) model and an opportunistic Femto placement with power control (OPPRPC) model. These models incorporate a constraint which helps small cells providing dual cell connectivity (DCC) for as many number of users as possible and then schedule them jointly for improving their throughputs.
CS 280 A Project : Automatic Prediction of Human Attractiveness

We apply computer vision methods to the task of automatically predicting human attractiveness from frontal face images. A dataset of thousands of images and corresponding scores was obtained from a popular website that asks viewers to rate the attractiveness of the people appearing in the images. Using a combination of radial basis functions and specialized feature detectors, we achieved moderate success in estimating female attractiveness. However, male attractiveness proved more difficult to predict. We believe significant improvements are possible through future development of new feature types.
Achievement in Relation to Phonological Coding and Awareness in Deaf Readers : A Meta-analysis

The relation between reading ability and phonological coding and awareness (PCA) skills in individuals who are severely and profoundly deaf was investigated with a metaanalysis. From an initial set of 230 relevant publications, 57 studies were analyzed that experimentally tested PCA skills in 2,078 deaf participants. Half of the studies found statistically significant evidence for PCA skills and half did not. A subset of 25 studies also tested reading proficiency and showed a wide range of effect sizes. Overall PCA skills predicted 11% of the variance in reading proficiency in the deaf participants. Other possible modulating factors, such as task type and reading grade level, did not explain the remaining variance. In 7 studies where it was measured, language ability predicted 35% of the variance in reading proficiency. These meta-analytic results indicate that PCA skills are a low to moderate predictor of reading achievement in deaf individuals and that other factors, most notably language ability, have a greater influence on reading development, as has been found to be the case in the hearing population.
Molecular genetics of retinal degeneration

Inherited retinal degeneration in Drosophila has been explored for insights into similar processes in humans. Based on the mechanisms, I divide these mutations in Drosophila into three classes. The first consists of genes that control the specialization of photoreceptor cells including the morphogenesis of visual organelles (rhabdomeres) that house the visual signaling proteins. The second class contains genes that regulate the activity or level of the major rhodopsin, Rh1, which is the light sensor and also provides a structural role for the maintenance of rhabdomeres. Some mutations in Rh1 (NinaE) are dominant due to constitutive activity or folding defects, like autosomal dominant retinitis pigmentosa (ADRP) in humans. The third class consists of genes that control the Ca2+ influx directly or indirectly by promoting the turnover of the second messenger and regeneration of PIP2, or mediate the Ca2+-dependent regulation of the visual response. These gene products are critical for the increase in cytosolic Ca2+ following light stimulation to initiate negative regulatory events. Here I will focus on the signaling mechanisms underlying the degeneration in norpA, and in ADRP-type NinaE mutants that produce misfolded Rh1. Accumulation of misfolded Rh1 in the ER triggers the unfolded protein response (UPR), while endosomal accumulation of activated Rh1 may initiate autophagy in norpA. Both autophagy and the UPR are beneficial for relieving defective endosomal trafficking and the ER stress, respectively. However, when photoreceptors fail to cope with the persistence of these stresses, a cell death program is activated leading to retinal degeneration.
Fission‐Fusion Dynamics

Renewed interest in fission‐fusion dynamics is due to the recognition that such dynamics may create unique challenges for social interaction and distinctive selective pressures acting on underlying communicative and cognitive abilities. New frameworks for integrating current knowledge on fission‐fusion dynamics emerge from a fundamental rethinking of the term “fission‐fusion” away from its current general use as a label for a particular modal type of social system (i.e., “fission‐fusion societies”). Specifically, because the degree of spatial and temporal cohesion of group members varies both within and across taxa, any social system can be described in terms of the extent to which it expresses fission‐fusion dynamics. This perspective has implications for socioecology, communication, cognitive demands, and human social evolution.
Analyse automatique de sondages téléphoniques d’opinion

Cette étude présente la problématique de l’analyse automatique de sondages téléphoniques d’opinion. Cette analyse se fait en deux étapes : tout d’abord extraire des messages oraux les expressions subjectives relatives aux opinions de utilisateurs sur une dimension particulière (efficacité, accueil, etc.) ; puis sélectionner les messages fiables, selon un ensemble de mesures de confiance, et estimer la distribution des diverses opinions sur le corpus de test. Le but est d’estimer une distribution aussi proche que possible de la distribution de référence. Cette étude est menée sur un corpus de messages provenant de vrais utilisateurs fournis par France Télécom R&D.
Cursor movement control development by using ANFIS algorithm

Our non-invasive brain computer interface uses EEG signals and beta frequency bands over sensorimotor cortex to control cursor movement horizontally (i.e., one-dimension). The main goal of this study is to help people with sever motor disabilities (i.e., Spinal cord injuries) and provide them a new way of communication and control options by which they can move the cursor in one dimension. In this study, offline analysis of the data collected was used to make the user able of controlling the movement of the cursor horizontally (i.e., one dimension). The data was collected during a session in which the user selected among two targets by thinking and moving either the right hand little finger or the left hand little finger. The Adaptive-Network based fuzzy inference system algorithm was examined for the classification method with some parameters. In the offline analysis, the method used showed a significant performance in the classification accuracy level and it gave an accuracy level of more than 80%. This result suggests that using the adaptive-network based fuzzy inference system algorithm will improve online operation of the current BCI system.
Unified stereovision for ground, road, and obstacle detection

This paper presents a method for road detection and obstacle detection entirely based on stereovision. The ground plane is estimated online by least square fitting of disparity data. This operation allows deleting road features for obstacle detection, estimating directly camera roll and pitch, and deriving some clues on road-surface image regions. A model-based algorithm employing only disparity information is demonstrated to be able to segment the whole road surface without knowledge of infrastructures and features like lane markings. This helps navigation in suburban and country-road environments, and recovery from critical failure of lane-markings trackers.