Miracle-dz/UniFAR-FTUs huggingface dataset:
WiFi SLAM algorithms: an experimental comparison

SUMMARY Localization and mapping in indoor environments, such as airports and hospitals, are key tasks for almost every robotic platform. Some researchers suggest the use of Range-Only (RO) sensors based on WiFi (Wireless Fidelity) technology with SLAM (Simultaneous Localization And Mapping) techniques to solve both problems. The current state of the art in RO SLAM is mainly focused on the filtering approach, while the study of smoothing approaches with RO sensors is quite incomplete. This paper presents a comparison between filtering algorithms, such as EKF and FastSLAM, and a smoothing algorithm, the SAM (Smoothing And Mapping). Experimental results are obtained in indoor environments using WiFi sensors. The results demonstrate the feasibility of the smoothing approach using WiFi sensors in an indoor environment.
Robust Object Tracking with Compressive Sensing and Patches Matching

Object tracking is one of the fundamental problems in computer vision. However, there is still a need to improve the overall capability in various tracking circumstances. In this letter, a patchescollaborative compressive tracking (PCCT) algorithm is presented. Experiments on various challenging benchmark sequences demonstrate that the proposed algorithm performs favorably against several state-of-the-art algorithms. key words: object tracking, compressive sensing, patches matching, feature extraction
Prenatal Exposure to Fine Particulate Matter and Birth Weight: Variations by Particulate Constituents and Sources

Background: Exposure to fine particles (PM2.5) during pregnancy has been linked to lower birth weight; however, the chemical composition of PM2.5 varies widely. The health effects of PM2.5 constituents are unknown. Methods: We investigated whether PM2.5 mass, constituents, and sources are associated with birth weight for term births. PM2.5 filters collected in 3 Connecticut counties and 1 Massachusetts county from August 2000 through February 2004 were analyzed for more than 50 elements. Source apportionment was used to estimate daily contributions of PM2.5 sources, including traffic, road dust/crustal, oil combustion, salt, and regional (sulfur) sources. Gestational and trimester exposure to PM2.5 mass, constituents, and source contributions were examined in relation to birth weight and risk of small-at-term birth (term birth <2500 g) for 76,788 infants. Results: Road dust and related constituents such as silicon and aluminum were associated with lower birth weight, as were the motor-vehicle-related species such as elemental carbon and zinc, and the oil-combustion-associated elements vanadium and nickel. An interquartile range increase in exposure was associated with low birthweight for zinc (12% increase in risk), elemental carbon (13%), silicon (10%), aluminum (11%), vanadium (8%), and nickel (11%). Analysis by trimester showed effects of third-trimester exposure to elemental carbon, nickel, vanadium, and oil-combustion PM2.5. Conclusions: Exposures of pregnant women to higher levels of certain PM2.5 chemical constituents originating from specific sources are associated with lower birth weight.
OPTIMUM INTERFEROGRAMS STACK VERSUS PS : MULTIFREQUENCY ANALYSIS

where: f {} is the linear operator accounting for SAR acquisition and focusing; θ is the vector of the unknown parameters, assmed constant in the L pixels; φn (θ) is a known function of the unknowns; sn(l) represents the source in the n −th image, the observed reflectivity; αn represents the atmospheric phase noise, usually referred to as atmospheric phase screen (APS); wn(l) is the thermal noise in the n −th image. The source in each image is assumed an homogenous target, i.e., a fully developed speckle [1]. Therefore, we model the statistics of the sources as a multivariate normal pdf, with cross-correlation matrix Γ, whose elements express the coherence between image pairs.
cNV SRAM: CMOS Technology Compatible Non-Volatile SRAM Based Ultra-Low Leakage Energy Hybrid Memory System

A CMOS technology compatible non-volatile SRAM (cNV SRAM) is proposed in this paper to achieve energy efficient on-chip memory. cNV SRAM works as conventional 8T SRAM to keep high speed in work mode; in sleep mode, it backs up the data in its NV component and switches off the power supply, thereby minimizing the leakage energy without data loss. The circuit- and architectural- level implementation schemes of cNV SRAM are developed considering multiple key performance parameters including energy dissipation, access time, write time, noise margin, layout area, restoration time, and injection charges. Simulation results on SPEC 2000 benchmark suite demonstrate that cNV SRAM realizes 86 percent energy savings on average with negligible performance impact and small hardware overhead as compared to conventional SRAM. Finally, the impact of the sleep time and memory size on the effectiveness of cNV SRAM is analyzed in detail and it shows that cNV SRAM is particularly effective to implement large on-chip memories with long idle time.
Research Outlier Detection Technique Based on Clustering Algorithm

In this paper, in clustering and outlier detection as a starting point, it put forward a kind of DBSCAN-LOF algorithm, to the core definition of object DBSCAN, then the LOF only need to operate on noncore object, thereby reducing the number of the original LOF algorithm for global object operation, the results show that the algorithm improve the running efficiency of the LOF, and the clustering effect of DBSCAN, and the at the same time, the clustering and outlier detection results is produced.
Expression of p53, Bcl-2, and Bax in Cd34+ cells recovering after chemotherapy.

To the Editor: We read with interest the report of Wlodarski et al[1][1]published in a recent issue of Blood concerning the role of p53 in the recovery of hematopoieis after cytotoxic treatment. The investigators used as an experimental model p53 wild-type and p53 knock-out mice treated with 5-
National estimates of the quantity and cost of informal caregiving for the elderly with dementia

AbstractOBJECTIVE: Caring for the elderly with dementia imposes a substantial burden on family members and likely accounts for more than half of the total cost of dementia for those living in the community. However, most past estimates of this cost were derived from small, nonrepresentative samples. We sought to obtain nationally representative estimates of the time and associated cost of informal caregiving for the elderly with mild, moderate, and severe dementia. DESIGN: Multivariable regression models using data from the 1993 Asset and Health Dynamics Study, a nationally representative survey of people age 70 years or older (N=7,443). SETTING: National population-based sample of the community-dwelling elderly. MAIN OUTCOME MEASURES: Incremental weekly hours of informal caregiving and incremental cost of caregiver time for those with mild dementia, moderate dementia, and severe dementia, as compared to elderly individuals with normal cognition. Dementia severity was defined using the Telephone Interview for Cognitive Status. RESULTS: After adjusting for sociodemographics, comorbidities, and potential caregiving network, those with normal cognition received an average of 4.6 hours per week of informal care. Those with mild dementia received an additional 8.5 hours per week of informal care compared to those with normal cognition (P<.001), while those with moderate and severe dementia received an additional 17.4 and 41.5 hours (P<.001), respectively. The associated additional yearly cost of informal care per case was $3,630 for mild dementia, $7,420 for moderate dementia, and $17,700 for severe dementia. This represents a national annual cost of more than $18 billion. CONCLUSION: The quantity and associated economic cost of informal caregiving for the elderly with dementia are substantial and increase sharply as cognitive impairment worsens. Physicians caring for elderly individuals with dementia should be mindful of the importance of informal care for the well-being of their patients, as well as the potential for significant burden on those (often elderly) individuals providing the care.
Clinical and neuropsychological follow up at 12 months in patients with complicated Parkinson’s disease treated with subcutaneous apomorphine infusion or deep brain stimulation of the subthalamic nucleus

Background: The clinical condition of advanced Parkinson’s disease (PD) patients is often complicated by motor fluctuations and dyskinesias which are difficult to control with available oral medications. Objective: To compare clinical and neuropsychological 12 month outcome following subcutaneous apomorphine infusion (APO) and chronic deep brain stimulation of the subthalamic nucleus (STN-DBS) in advanced PD patients. Methods: Patients with advanced PD and medically untreatable fluctuations underwent either APO (13 patients) or STN-DBS (12 patients). All patients were clinically (UPDRS-III, AIMS, 12 h on-off daily) and neuropsychologically (MMSE, Hamilton-17 depression, NPI) evaluated at baseline and at 12 months. APO was discontinued at night. Results: At 12 months APO treatment (74.78±24.42 mg/day) resulted in significant reduction in off time (−51%) and no change in AIMS. Levodopa equivalent medication doses were reduced from 665.98±215 mg/day at baseline to 470±229 mg/day. MMSE, NPI, and Hamilton depression scores were unchanged. At 12 months STN-DBS resulted in significant clinical improvement in terms of reduction in daily off time (−76%) and AIMS (−81%) as well as levodopa equivalent medication doses (980±835 to 374±284 mg/day). Four out of 12 patients had stopped oral medications. MMSE was unchanged (from 28.6±0.3 to 28.4±0.6). Hamilton depression was also unchanged, but NPI showed significant worsening (from 6.58±9.8 to 18.16±10.2; p<0.02). Category fluency also declined. Conclusions: Both APO and STN-DBS resulted in significant clinical improvement in complicated PD. STN-DBS resulted in greater reduction in dopaminergic medications and provided 24 h motor benefit. However, STN-DBS, unlike APO, appears to be associated with significant worsening on NPI resulting from long term behavioral problems in some patients.
Improved Synthesis of ADAM10 Inhibitor GI254023X

Background: The metalloproteinases ADAM10 and ADAM17 are involved in various diseases: neurodegeneration, cancer and inflammation. Objective: The inhibition of these proteases is a promising target in the treatment of inflammation and cancer. Methods and Results: In this study, we present an improved synthesis of the ADAM10 reference inhibitor GI254023X with a higher overall yield, enhanced detection ability and increased acid stability, providing easier handling. Conclusion: This upscaled synthesis, free of diastereomeric intermediates, ensures single-batch identity, thus warranting its reproducibility in further biological investigations.
Multi-Dimensional Conversation Analysis Across Online Social Networks

With the advance of the Internet, ordinary users have created multiple personal accounts on online social networks, and interactions among these social network users have recently been tagged with location information. In this work, we observe user interactions across two popular online social networks, Facebook and Twitter, and analyze which factors lead to retweet/like interactions for tweets/posts. In addition to the named entities, lexical errors and expressed sentiments in these data items, we also consider the impact of shared user locations on user interactions. In particular, we show that geolocations of users can greatly affect which social network post/tweet will be liked/ retweeted. We believe that the results of our analysis can help researchers to understand which social network content will have better visibility.
Epigenetic Regulation of Neural Gene Expression and Neuronal Function

The development and function of the CNS requires accurate gene transcription control in response to proper environmental signals. Epigenetic mechanisms, including DNA methylation, histone modifications, and other chromatin-remodeling events, are critically important in mediating precise neural gene regulation. This review focuses on discussing the role of DNA methylation and histone modifications in neural lineage differentiation, synaptic plasticity and neural behavior. We postulate that DNA methylation– and histone modification–mediated gene regulation is not only important for neural cell differentiation but also crucial for high-order cognitive functions such as learning and memory.
TamaRISC-CS: An ultra-low-power application-specific processor for compressed sensing

Compressed sensing (CS) is a universal technique for the compression of sparse signals. CS has been widely used in sensing platforms where portable, autonomous devices have to operate for long periods of time with limited energy resources. Therefore, an ultra-low-power (ULP) CS implementation is vital for these kind of energy-limited systems. Sub-threshold (sub-VT) operation is commonly used for ULP computing, and can also be combined with CS. However, most established CS implementations can achieve either no or very limited benefit from sub-VT operation. Therefore, we propose a sub-VT application-specific instruction-set processor (ASIP), exploiting the specific operations of CS. Our results show that the proposed ASIP accomplishes 62x speed-up and 11.6x power savings with respect to an established CS implementation running on the baseline low-power processor.
Hierarchy-driven Visual Exploration of Multidimensional Data Cubes

Analysts interact with OLAP data in a predominantly "drill-down" fashion, i.e. gradually descending from a coarsely grained overview towards the desired level of detail. Analysis tools enable visual exploration as a sequence of navigation steps in the data cubes and their dimensional hierarchies. However, most state-of-the-art solutions are limited either in their capacity to handle complex multidimensional data or in the ability of their visual metaphors to provide an overview+details context. This work proposes an explorative framework for OLAP data based on a simple but powerful approach to analyzing data cubes of virtually arbitrary complexity. The data is queried using an intuitive navigation in which each dimension is represented by its hierarchy schema. Any granularity level can be dragged into the visualization to serve as an disaggregation axis. The results of the iterative exploration are mapped to a specified visualization technique. We favor hierarchical layouts for their natural ability to show step-wise decomposition of aggregate values. The power of the tool to support various application scenarios is demonstrated by presenting use cases from different domains and the visualization techniques suitable for solving specific analysis tasks.
Synergist effect of sucrose fatty acid esters on nisin inhibition of Gram‐positive bacteria

L.V. THOMAS, E.A. DAVIES, J. DELVES‐BROUGHTON AND J.W. T. WIMPENNY. 1998. Nisin in combination with the sucrose fatty acid esters, sucrose palmitate (P‐1570 and P‐1670) or sucrose stearate (S‐1570 and S‐1670) was tested against a range of Gram‐negative and Gram‐positive bacteria. Initial liquid culture investigation showed that the sugar ester P‐1670 resulted in a synergist enhancement of the bacteriostatic activity of nisin against Gram‐positive bacteria and not Gram‐negative bacteria. Some enhancement of the bactericidal activity of nisin against Listeria monocytogenes was also observed. This increased nisin inhibitory effect was confirmed on solid media using plates with gradients of pH and NaCl. Synergism was observed with all four sucrose fatty acid esters, which enhanced the antimicrobial activity of nisin against several strains of L. monocytogenes, Bacillus cereus (both cells and spores), Lactobacillus plantarum and Staphylococcus aureus. The combination of nisin and the sucrose fatty acid esters showed no inhibition of Gram‐negative bacteria (Salmonella enteritidis, Salm. typhimurium and Pseudomonas aeruginosa).
Increased prevalence of depression in cohorts of the elderly: an 11-year follow-up in the general population – the HUNT study

ABSTRACT Background: Depression is a common disorder in late life. As the elderly population continues to grow worldwide, depression is also likely to become an increasing health problem. The aim of this study was to examine changes in prevalence of depression in various age cohorts over an 11-year period. Methods: This study involved two cross-sectional studies (HUNT 2 and HUNT 3) of all adult inhabitants of the Norwegian county of Nord-Trøndelag with an 11 year-interval between the two studies. The participants aged 45 years or above at HUNT 2 and with a valid depression rating at both HUNT 2 (baseline) and HUNT 3 (follow-up) (N = 16517), were included and divided into five-year age cohorts. Depression was measured by the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D). Results: A significant increase in depression was found in all age cohorts from 76 years at follow-up, with the greatest increase (9.6%) in the oldest age cohort (86–90 years at follow-up). The incidence of depression is increasing with age, with over 10% new cases in all age cohorts aged 81 years and above at follow-up. About 5% of the participants in all age cohorts reported depression at both measure points, and there is a decrease in recovery from depression from baseline to follow-up with increasing age. Conclusions: We found increased prevalence of depression and a large number of new cases of depression in the oldest age cohorts.
Impact of a pharmaceutical care program on clinical evolution and antiretroviral treatment adherence: a 5-year study

Background Antiretroviral treatments (ART) form the basis of adequate clinical control in human immunodeficiency virus-infected patients, and adherence plays a primary role in the grade and duration of the antiviral response. The objectives of this study are: (1) to determine the impact of the implementation of a pharmaceutical care program on improvement of ART adherence and on the immunovirological response of the patients; and (2) to detect possible correlations between different adherence evaluation measurements. Methods A 60-month long retrospective study was conducted. Adherence measures used were: therapeutic drug monitoring, a simplified medication adherence questionnaire, and antiretroviral dispensation records (DR). The number of interviews and interventions related to adherence made for each patient in yearly periods was related to the changes in the adherence variable (measured with DR) in these same yearly periods. The dates when the laboratory tests were drawn were grouped according to proximity with the study assessment periods (February–May, 2005–2010). Results A total of 528 patients were included in the study. A significant relationship was observed between the simplified medication adherence questionnaire and DR over the 60-month study period (P < 0.01). Improvement was observed in the mean adherence level (P < 0.001), and there was a considerable decrease in the percentage of patients with CD4+ lymphocytes less than 200 cells/mm3 (P < 0.001). A relationship was found between the number of patients with optimum adherence levels and the time that plasma viral load remained undetected. The number of interviews and interventions performed in each patient in the first 12 months from the onset of the pharmaceutical care program (month 6), was related to a significant increase in adherence during this same time period. Conclusion The results suggest that the establishment and permanence of a pharmaceutical care program may increase ART adherence, increase permanence time of the patient with undetectable plasma viral loads, and improve patients’ lymphocyte count.
Mitochondrial dysfunction and neurodegeneration in multiple sclerosis

Multiple sclerosis (MS) has traditionally been considered an autoimmune inflammatory disorder leading to demyelination and clinical debilitation as evidenced by our current standard anti-inflammatory and immunosuppressive treatment regimens. While these approaches do control the frequency of clinical relapses, they do not prevent the progressive functional decline that plagues many people with MS. Many avenues of research indicate that a neurodegenerative process may also play a significant role in MS from the early stages of disease, and one of the current hypotheses identifies mitochondrial dysfunction as a key contributing mechanism. We have hypothesized that pathological permeability transition pore (PTP) opening mediated by reactive oxygen species (ROS) and calcium dysregulation is central to mitochondrial dysfunction and neurodegeneration in MS. This focused review highlights recent evidence supporting this hypothesis, with particular emphasis on our in vitro and in vivo work with the mitochondria-targeted redox enzyme p66ShcA.
Using Coreference Chains for Text Summarization

We describe the use of coreference chains for the production of text summaries, using a variety of criteria to select a 'best' chain to represent the main topic of a text. The approach has been implemented within an existing MUC coreference system, which constructs a full discourse model of texts, including information about changes of focus, which can be used in the selection of chains. Some preliminary experiments on the automatic evaluation of summaries are also described, using existing tools to attempt to replicate some of the recent SUMMAC manual evaluations.
Surface Roughness Based Characterization of Slip Band for Damage Initiation in a Nickel Base Superalloy

This work presents a computational protocol, based on a variance analysis integrated with the bootstrap method, to investigate surface damage resulting from localization of plastic deformation in slip bands of a Ni-base superalloy. For assessment of fatigue crack initiation, surface roughness is introduced to quantify the degree of slip irreversibility. The contribution of this study is to provide a most relevant roughness parameter that can extract the salient features of slip bands within damaged grains, and thus enabling the discrimination of damaged and undamaged grains for description of fatigue-induced surface damage. Results suggest that the maximum peak height ( S p ) is the most relevant parameter. And a very pronounced variability of S p values is observed for damaged grains. DOI: http://dx.doi. org/10.5755/j01.ms.24.1. 17684
Tracer kinetics analysis of dynamic contrast‐enhanced CT and MR data in patients with squamous cell carcinoma of the upper aerodigestive tract: comparison of the results

Purpose: (i) To evaluate the feasibility of tracer kinetics analysis of dynamic contrast‐enhanced (DCE) CT and T2‐weighted MR data of squamous cell carcinoma (SCCA) of the upper aerodigestive tract. (ii) To compare functional parameters derived by both modalities and examine the interchangeability of them as well as the intra‐ and inter‐rater agreement.
Editorial: Pitfalls in the Neuro-Imaging of Glioblastoma in the Era of Antiangiogenic and Immune-Targeted Therapy—Detecting Elusive Disease, Defining Response

Citation: New PZ and Rosenfeld MR (2017) Editorial: Pitfalls in the Neuro-Imaging of Glioblastoma in the Era of Antiangiogenic and Immune-Targeted Therapy—Detecting Elusive Disease, Defining Response. Front. Neurol. 8:311. doi: 10.3389/fneur.2017. 00311 Editorial: Pitfalls in the Neuro-imaging of Glioblastoma in the Era of antiangiogenic and immune-targeted therapy—detecting Elusive disease, defining response