Miracle-dz/UniFAR-FTUs huggingface dataset:
NGF-TrkA signaling in sensory nerves is required for skeletal adaptation to mechanical loads in mice

Significance Peripheral sensory nerves expressing TrkA, the high-affinity receptor for NGF, densely innervate the surfaces of long bones, a privileged location for the regulation of biomechanical signaling. In this study, we used several genetically engineered mouse models to examine the role of NGF-TrkA signaling in skeletal adaptation to mechanical loads. Our results support a model in which mechanical signals up-regulate the expression of NGF in osteoblasts on the bone surface that, in turn, activates TrkA sensory nerves, leading to the release of osteogenic cues that modulate osteocytic Wnt/β-catenin signaling and support bone formation. Sensory nerves emanating from the dorsal root extensively innervate the surfaces of mammalian bone, a privileged location for the regulation of biomechanical signaling. Here, we show that NGF-TrkA signaling in skeletal sensory nerves is an early response to mechanical loading of bone and is required to achieve maximal load-induced bone formation. First, the elimination of TrkA signaling in mice harboring mutant TrkAF592A alleles was found to greatly attenuate load-induced bone formation induced by axial forelimb compression. Next, both in vivo mechanical loading and in vitro mechanical stretch were shown to induce the profound up-regulation of NGF in osteoblasts within 1 h of loading. Furthermore, inhibition of TrkA signaling following axial forelimb compression was observed to reduce measures of Wnt/β-catenin activity in osteocytes in the loaded bone. Finally, the administration of exogenous NGF to wild-type mice was found to significantly increase load-induced bone formation and Wnt/β-catenin activity in osteocytes. In summary, these findings demonstrate that communication between osteoblasts and sensory nerves through NGF-TrkA signaling is essential for load-induced bone formation in mice.
Ga(III) Nanoparticles Inhibit Growth of both Mycobacterium tuberculosis and HIV and Release of Interleukin-6 (IL-6) and IL-8 in Coinfected Macrophages

ABSTRACT Treatment of individuals coinfected with human immunodeficiency virus (HIV) type 1 and Mycobacterium tuberculosis is challenging due to the prolonged treatment requirements, drug toxicity, and emergence of drug resistance. Mononuclear phagocytes (MP; macrophages) are one of the natural reservoirs for both HIV and M. tuberculosis. Here, the treatment of HIV and M. tuberculosis coinfection was studied by preloading human macrophages with MP-targeted gallium (Ga) nanoparticles to limit subsequent simultaneous infection with both HIV and M. tuberculosis. Ga nanoparticles provided sustained drug release for 15 days and significantly inhibited the replication of both HIV and M. tuberculosis. Addition of Ga nanoparticles to MP already infected with M. tuberculosis or HIV resulted in a significant decrease in the magnitude of these infections, but the magnitude was less than that achieved with nanoparticle preloading of the MP. In addition, macrophages that were coinfected with HIV and M. tuberculosis and that were loaded with Ga nanoparticles reduced the levels of interleukin-6 (IL-6) and IL-8 secretion for up to 15 days after drug loading. Ga nanoparticles also reduced the levels of IL-6 and IL-8 secretion by ionomycin- and lipopolysaccharide-induced macrophages, likely by modulating the IκB kinase-β/NF-κB pathway. Delivery of Ga nanoparticles to macrophages is a potent long-acting approach for suppressing HIV and M. tuberculosis coinfection of macrophages in vitro and sets the stage for the development of new approaches to the treatment of these important infections.
Semantic Mining based on graph theory and ontologies. Case Study: Cell Signaling Pathways

In this paper we use concepts from graph theory and cellular biology represented as ontologies, to carry out semantic mining tasks on signaling pathway networks. Specifically, the paper describes the semantic enrichment of signaling pathway networks. A cell signaling network describes the basic cellular activities and their interactions. The main contribution of this paper is in the signaling pathway research area, it proposes a new technique to analyze and understand how changes in these networks may affect the transmission and flow of information, which produce diseases such as cancer and diabetes. Our approach is based on three concepts from graph theory (modularity, clustering and centrality) frequently used on social networks analysis. Our approach consists into two phases: the first uses the graph theory concepts to determine the cellular groups in the network, which we will call them communities; the second uses ontologies for the semantic enrichment of the cellular communities. The measures used from the graph theory allow us to determine the set of cells that are close (for example, in a disease), and the main cells in each community. We analyze our approach in two cases: TGF-β and the Alzheimer Disease.
Substance Dependence Constrained Sparse NMF for Hyperspectral Unmixing

Hyperspectral unmixing is one of the most important problems in analyzing remote sensing images, which aims to decompose a mixed pixel into a collection of constituent materials named endmembers and their corresponding fractional abundances. Recently, various methods have been proposed to incorporate sparse constraints into hyperspectral unmixing and achieve advanced performance. However, most of them ignore the complex distribution of substances in hyperspectral data so that they are only effective in limited cases. In this paper, the concept of substance dependence is introduced to help hyperspectral unmixing. Generally, substance dependence can be considered in a local region by K-nearest neighbors method. However, since substances of hyperspectral images are complicatedly distributed, number K of the most similar substances to each substance is difficult to decide. In this case, substance dependence should be considered in the whole data space, and the number of the K most similar substances to each substance can be adaptively determined by searching from the whole space. Through maintaining the substance dependence during unmixing, the abundances resulted from the proposed method are closer to the real fractions, which lead to better unmixing performance. The following contributions can be summarized. 1) The concept of substance dependence is proposed to describe the complicated relationship between substances in the hyperspectral image. 2) We propose substance dependence constrained sparse nonnegative matrix factorization (SDSNMF) for hyperspectral unmixing. Using SDSNMF, we meet or exceed state-of-the-art unmixing performance. 3) Adequate experiments on both synthetic and real hyperspectral data have been tested. Compared with the state-of-the-art methods, the experimental results prove the superiority of the proposed method.
Prevalence of statin use among high-risk patients in urban and rural Vellore, Tamil Nadu: A population-based cross-sectional study

OBJECTIVES: This study assessed statin use among diabetics and those with coronary heart disease (CHD) in Vellore, Tamil Nadu. METHODS: A cross-sectional survey was conducted in rural and urban Vellore, among 6196 participants (30–64 years), in 2010–2012. Statin use among those with known CHD and diabetes (on diabetic medication) was recorded. A randomly selected sample of rural diabetics was resurveyed in 2016 to reassess statin use. RESULTS: Among 61 with CHD, 23 (37.7%) were on statins. Statin use among 422 diabetics aged ≥40 years with low-density lipoprotein ≥70 mg/dl was 13.4% in urban and 7.6% among rural. Statin usage among rural diabetics aged ≥40 years increased from 7.7% in 2010–2012 to 16.6% in 2016. CONCLUSIONS: Statin use for CHD was below 50% although higher than the use among diabetics, indicating the need to address this low rate of usage among these high-risk groups.
Two-level multi-task metric learning with application to multi-classification

Many metric learning approaches neglect that the real world multi-class problems share strong visual similarities, which can be exploited by learning discriminative models. In this paper, a Two-level Multi-task Metric Learning (TMTL) method is presented to learn a distance measure from equivalence constraints. Multiple features are adopted to represent the image information and learn the distance matrices in the first level. Then the task-specific learning paradigm and multi-task voting mechanism make full use of pairwise equivalence labels, which induces knowledge from anonymous pairs to multi-classification. Experiments are conducted on two challenging benchmarks PubFig and OuluVS for face identification and lipreading respectively. The results demonstrate that our method outperforms the recent multi-task learning approaches and multi-class support vector machine.
Histological assessment of hard and soft tissues surrounding a novel ceramic implant: a pilot study in the minipig.

OBJECTIVE The aim of this study was to investigate clinical and soft/hard tissues histomorphological outcomes of a ceramic implant comparatively to a titanium implant in a minipig model. MATERIAL AND METHODS Eighteen soft tissue level implants (9 Ceramic with ZLA(®) surface as test, and 9 titanium SLActive(®) as control, Institut Straumann, Basel, Switzerland) were randomly placed into the mandible of 6 minipigs (n = 6). Two months later, animals were sacrificed and block biopsies were obtained to assess histomorphological outcomes. Unadjusted paired comparisons, of both groups were performed using the Wilcoxon signed rank test. The Dunnett-Hsu test was used to adjust for multiple comparisons. RESULTS All implants showed excellent integration into bone and soft tissue. The fBIC (distance implant shoulder to most coronal implant contact) and BIC% (percentage bone-to-implant contact) were for both groups; test: 3.95 mm and 85.4%; control 3.97 mm and 84.3% respectively. No difference in peri-implant mucosa height was found, however, the sulcular epithelium was significantly shorter for the ZrO2 (mean: 0.76, 95%CI: 0.46-1.06) than for the Ti (mean: 1.40, 95%CI: 1.10-1.70) (p = 0.0090). CONCLUSIONS Within the limits of this pilot study, no difference was found between the ceramic implant with ZLA(®) surface and a titanium implant in terms of bone tissue integration. Furthermore, the epithelial attachment favoured this ceramic implant over titanium.
Natural Course of Human T-Cell Leukemia Virus Type 1 Proviral DNA Levels in Carriers During Pregnancy

The measurement of human T-cell leukemia virus type 1 (HTLV-1) proviral DNA levels by using polymerase chain reaction has been beneficial for confirming HTLV-1 infection during pregnancy. However, the influence of pregnancy on HTLV-1 infection and proviral DNA levels among pregnant women with HTLV-1 has not been clarified. We prospectively gathered blood samples from 36 pregnant women in whom HTLV-1 carriage was previously diagnosed and sequentially measured their proviral DNA levels. The HTLV-1 proviral DNA levels remained at a plateau during pregnancy but were elevated after delivery. Moreover, flow cytometry and serological analyses revealed that the regulatory T-cell population and soluble interleukin 2 receptor levels were similarly elevated after birth in comparison with those in control pregnant women. This study is the first to provide data on sequential changes in HTLV-1 proviral DNA levels during and after pregnancy. These findings will guide the establishment of a better program to prevent mother-to-child transmission of HTLV-1.
Primary Arterial Switch Operation for Late Referral of Transposition of the Great Arteries with Intact Ventricular Septum in the Current Era: Do We Still Need a Rapid Two-Stage Operation?

Objective: We introduced primary arterial switch operation for the patient with transposition of great arteries and intact ventricular septum (TGA-IVS) who had more than 3.5 mm of posterior left ventricle (LV) wall thickness. Methods: Between January 2013 and June 2015, a total of 116 patients underwent arterial switch operation. Of the 116 patients, 26 with TGA-IVS underwent primary arterial switch operation at more than 30 days of age. Results: The age and body weight (mean ± SD) at the operation were 120.4 ± 93.8 days and 4.1 ±1.0 kg, respectively. There was no hospital mortality. The thickness of posterior LV wall (preoperation vs postoperation; mm) was 4.04 ± 0.71 versus 5.90 ± 1.3; P < . 0001; interval: 11.8 ± 6.5 days. The left atrial pressure (mm Hg; postoperative day 0 vs 3) was 20.0 ± 3.2 versus 10.0 ± 2.0; P < . 0001; and the maximum blood lactate level (mmol/dL) was 4.7 ± 1.4 versus 1.4 ± 0.3; P < . 0001, which showed significant improvement in the postoperative course. All cases had delayed sternal closure. The patients who belonged to the thin LV posterior wall group (<4 mm [preoperative echo]: n = 13) had significantly longer ventilation time (days; 10.6 ± 4.8 vs 4.8 ± 1.7, P = .0039), and the intensive care unit stay (days) was 14 ± 9.2 versus 7.5 ± 3.5; P = . 025, compared with thick LV wall group (≥4.0 mm: n = 13). Conclusions: The children older than 30 days with TGA-IVS can benefit from primary arterial switch operation with acceptable results under our indication. However, we need further investigation for LV function.
Effect of a food supplement containing berberine, monacolin K, hydroxytyrosol and coenzyme Q10 on lipid levels: a randomized, double-blind, placebo controlled study

Purpose To evaluate the ability of the new food supplement, Body Lipid (BL), containing red yeast rice, berberine, coenzyme Q10 and hydroxytyrosol, to lower the LDL-C in patients with mild-to-moderate hypercholesterolemia and to assess the overall safety profile of the product. Methods In this multicenter, randomized, double-blind, placebo and active comparator (the marketed Armolipid Plus® [AM]) controlled study, 158 hypercholesterolemic patients were randomized following a 4-week dietary run-in period. After 4 weeks of treatment with a daily oral dose of the new food supplement BL, AM or placebo, plus diet, the main outcome was the decrease of LDL-C, total cholesterol (TC), and triglyceride levels. Findings The absolute changes of LDL-C and TC levels from baseline, at week 4 were: −39.1 mg/dL ±17.76 and −45.9 mg/dL ±21.54, respectively in the BL group; 5.7 mg/dL ±14.98 and 2.4 mg/dL ±18.43, respectively in the placebo group. Results were statistically significant. In terms of mean percentage, BL was shown to be more effective in lowering LDL-C levels as compared to placebo and the active comparator (AM), with a reduction of −26.3%, +4.2%, −18.3%, respectively. Five adverse events (AEs) were reported by five patients after the initiation of the study treatment: two in the BL group (influence and insomnia), two in the AM group (ear pain and rash), and one in the placebo group (back pain). All AEs were mild in intensity, except for back pain (severe). The case of insomnia in the BL group and the case of rash in the AM group were judged as treatment related. The safety review of the laboratory (blood and urine) analyses, vital signs and physical findings did not show any clinical effect of the study products on any of the parameters. Implications BL showed a good efficacy and safety profile and, for this reason, it can be considered an alternative to pharmacological treatment, for patients with mild-to-moderate hypercholesterolemia.
Who is sleepier on the night shift? The influence of bio-psycho-social factors on subjective sleepiness of female nurses during the night shift

Abstract Sleepiness is a common complaint during the night shift and may impair performance. The current study aims to identify bio-psycho-social factors associated with subjective sleepiness during the night shift. Ninety-two female nurses working rotating shifts completed a sociodemographic questionnaire, the Munich ChronoType Questionaire for shift workers, the Pittsburg Sleep Quality Index, and the Pre-sleep Arousal Scale. Subjective sleepiness was measured hourly during two night shifts using the Karolinska Sleepiness Scale, and activity monitors assessed sleep duration 24-h before each shift. Findings showed that increased sleepiness was associated with increased age in nurses with early chronotypes and with more children. High cognitive pre-sleep arousal, but not sleep, was associated with increased sleepiness, especially in late chronotypes. The impact of bio-psycho-social factors on night shift sleepiness is complex, and depends on mutual interactions between these factors. Nurses most prone to increased sleepiness must develop personal strategies for maintaining vigilance on the night shift. Practitioner Summary: This study aims to identify bio-psycho-social factors associated with subjective sleepiness of female nurses during the night shift. Increasing sleepiness was associated with increased age in nurses with early chronotypes and with more children. Increased cognitive pre-sleep arousal, but not sleep, was associated with increased sleepiness, especially in late chronotypes.
Is modified brief assertiveness training for nurses effective? A single‐group study with long‐term follow‐up

AIM To evaluate the long-term effectiveness of modified brief assertiveness training (with cognitive techniques) for nurses. BACKGROUND Most assertiveness training takes a long time to conduct; thus, briefer training is required for universal on-the-job training in the workplace. METHODS In this single-group study, nurses received two 90-min training sessions with a 1-month interval between sessions. The degree of assertiveness was assessed by using the Rathus Assertiveness Schedule as the primary outcome, at four time points: pre- and post-training, 3-month follow-up and 6-month follow-up. RESULTS A total of 33 nurses received the training, and the mean Rathus Assertiveness Schedule score improved from -14.2 (SD = 16.5) pre-training to -10.5 (SD = 18.0) post-training (p < .05). These improvements were maintained until the 6-month follow-up. The pre-post effect size of 0.22 (indicating small effect) was larger than the effect sizes ranging from -0.56 to 0.17 (no effect) reported in previous studies that used brief training. CONCLUSIONS Modified brief assertiveness training seems feasible and may achieve long-term favourable outcomes in improving assertiveness among nurses. IMPLICATIONS FOR NURSING MANAGEMENT The ease of implementation of assertiveness training is important because creating an open environment for communication leads to improved job satisfaction, improved nursing care and increased patient safety.
Maxmin fair scheduling in wireless ad hoc networks

We investigate from an algorithmic perspective the maxmin fair allocation of bandwidth in wireless ad hoc networks. We formalize the maxmin fair objective under wireless scheduling constraints, and present a necessary and sufficient condition for maxmin fairness of a bandwidth allocation. We propose an algorithm that assigns weights to the sessions dynamically such that the weights depend on the congestion in the neighborhood, and schedules the sessions that constitute a maximum weighted matching. We prove that this algorithm attains the maxmin fair rates, even though it does not use any information about the statistics of the packet arrival process.
Data Aggregation in Smart Grid AMI Network for Secure Transfer of Energy User-Consumption Data

In a secured smart grid AMI environment, congestion management during data aggregation with security encryption for privacy preservation is a challenging issue. By introducing data communication network schemes into the Advanced Metering Infrastructure (AMI), network traffic congestion and service rates can be improved while preserving user’s privacy from the grid operator’s end. In this paper, a resilient architecture called Ring Triangulation Communication Architecture (RTCA) for data aggregation and user privacy protection is proposed. To preserve privacy as well as reducing traffic congestion in the architecture, DMF homomorphic encryption algorithms were formulated for local concentrators while using a global concentrator to check for anomalies in the AMI server clusters. With TCP/IP protocol and IEEE 802.11 MAC/PHY on the network, TCP message flooding was contextualized for congestion scenario. Stochastic TCP congestion management schemes with wired equivalent privacy (WEP) and the Data Minimizing Function (DMF) scheme were compared. Our proposed architecture significantly reduced transmission congestion and cryptographic overheads incurred during message aggregation. The results of the performance of the DMF Homomorphic encryption scheme incorporated into our proposed architecture for the SG AMI were discussed. These include service rate and other QoS metrics which are negatively affected by a congestive network condition.Keywords: Advanced Metering Infrastructure (AMI), Data Minimizing Function (DMF), Ring Triangulation Communication Architecture (RTCA), Data Aggregation, Smart Grid (SG), Smart Meter (SM).
Are You Covered? Associations Between Patient Protection and Affordable Care Act Knowledge and Preventive Reproductive Service Use

Purpose: Sexual and reproductive health conditions (eg, infections, cancers) represent public health concerns for American women. The present study examined how knowledge of the Patient Protection and Affordable Care Act (PPACA) relates to receipt of preventive reproductive health services among women. Design: Cross-sectional online survey. Setting: Online questionnaires were completed via Amazon Mechanical Turk, a crowdsourcing website where individuals complete web-based tasks for compensation. Participants: Cisgendered women aged 18 to 44 years (N = 1083) from across the United States. Measures: Participants completed online questionnaires assessing demographics, insurance status, preventive service use, and knowledge of PPACA provisions. Analysis: Chi-squares showed that receipt of well-woman, pelvic, and breast examinations, as well as pap smears, was related to insurance coverage, with those not having coverage at all during the previous year having significantly lower rates of use. Hierarchical logistic regressions determined the independent relationship between PPACA knowledge and use of health services after controlling for demographic factors and insurance status. Results: Knowledge of PPACA provisions was associated with receiving well-woman, pelvic, and breast examinations, human papillomavirus vaccination, and sexually transmitted infections testing, after controlling for these factors. Results indicate that expanding knowledge about health-care legislation may be beneficial in increasing preventive reproductive health service use among women. Conclusion: Current findings provide support for increasing resources for outreach and education of the general population about the provisions and benefits of health-care legislation, as well as personal health coverage plans.