Miracle-dz/UniFAR-FTUs huggingface dataset:
Entwurf und Auslegung eines Funksystems für dichte Netzwerke in der Fabrikautomatisierung

In der Industrieautomatisierung gibt es eine beständige Entwicklung hin zu drahtlosen Kommunikationssystemen. Flächendeckende Funkversorgung, hohe Zuverlässigkeit und geringe Verzögerungszeiten sind die wichtigsten Eigenschaften von Kommunikationstechnologien für die Fabrikautomatisierung. Mit steigender Anzahl von vernetzten Maschinenteilen und Werkstücken steigt die Teilnehmerdichte der Automatisierungsnetzwerke stark an und wird eine entscheidende Größe für den Einsatz drahtloser Technologien. In diesem Paper wird ein Mehrzellsystem mit örtlicher Frequenzwiederverwendung vorgestellt und für die Fabrikautomatisierung ausgelegt. Dabei wird die systeminhärente Interferenz unter Annahme verschiedener Kanalmodelle analysiert. Die Auswertung zeigt, dass der verwendete Empfängertyp Einfluss auf den Netzwerkentwurf hat.
Parathyroid Hormone Related-Protein Promotes Epithelial-to-Mesenchymal Transition in Prostate Cancer

Parathyroid hormone-related protein (PTHrP) possesses a variety of physiological and developmental functions and is also known to facilitate the progression of many common cancers, notably their skeletal invasion, primarily by increasing bone resorption. The purpose of this study was to determine whether PTHrP could promote epithelial-to-mesenchymal transition (EMT), a process implicated in cancer stem cells that is critically involved in cancer invasion and metastasis. EMT was observed in DU 145 prostate cancer cells stably overexpressing either the 1-141 or 1-173 isoform of PTHrP, where there was upregulation of Snail and vimentin and downregulation of E-cadherin relative to parental DU 145. By contrast, the opposite effect was observed in PC-3 prostate cancer cells where high levels of PTHrP were knocked-down via lentiviral siRNA transduction. Increased tumor progression was observed in PTHrP-overexpressing DU 145 cells while decreased progression was observed in PTHrP-knockdown PC-3 cells. PTHrP-overexpressing DU 145 formed larger tumors when implanted orthoptopically into nude mice and in one case resulted in spinal metastasis, an effect not observed among mice injected with parental DU 145 cells. PTHrP-overexpressing DU 145 cells also caused significant bone destruction when injected into the tibiae of nude mice, while parental DU 145 cells caused little to no destruction of bone. Together, these results suggest that PTHrP may work through EMT to promote an aggressive and metastatic phenotype in prostate cancer, a pathway of importance in cancer stem cells. Thus, continued efforts to elucidate the pathways involved in PTHrP-induced EMT as well as to develop ways to specifically target PTHrP signaling may lead to more effective therapies for prostate cancer.
IoT-Based State Estimation for Microgrids

In contrast to traditional centralized estimation methods, this letter proposes a distributed dynamic state estimation method for microgrids incorporating distributed energy resources. Specifically, distributed filter structure is designed in an interconnected way, where packet losses obviously occur between them. Then the error function is written in a compact form using the matrix property of the Kronecker product. Afterwards, it can be transformed into a linear matrix inequality. Finally, the local and neighboring gains for the distributed estimator are effectively computed after solving the convex optimization problem. Simulation result shows that the proposed method can well estimate the system state within 10 iterations.
Molecular Characterization, Evolution, and Expression Profiling of the Dirigent (DIR) Family Genes in Chinese White Pear (Pyrus bretschneideri)

Stone cells content and size are the key factors determining the internal quality of the pear fruit. Synthesis of lignin and thickening of secondary cell wall are the keys to the development of stone cells. The polymerization of monolignols and secondary cell wall formation requires the participation of dirigent proteins (DIRs). In recent years, DIR family have been studied in higher plants, but lack of comprehensive study in the pear DIR (PbDIR) family. This study focuses on the identification and analysis of PbDIR family for the first time. We identified 35 PbDIRs from the pear genome, 89% of which are intronless genes. Phylogenetic tree and chromosome localization analysis showed that 35 PbDIRs were divided into four subfamilies (DIR-a, -b/d, -e, and -g) and irregularly distributed among 10 chromosomes. In addition, we identified 29, 26, and 14 DIRs from the other three Rosids (peach, Mei, and grape), respectively. Interspecies microsynteny analysis revealed the collinear gene pairs between pear and peach are the most. Temporal expression analysis showed that the expression changes of seven PbDIRs (DIR-a subfamily: PbDIR4 and PbDIR5; DIR-b/d subfamily: PbDIR11; DIR-g subfamily: PbDIR19; DIR-e subfamily: PbDIR23, 25 and 26) in fruits were consistent with the changes of fruit lignin and stone cells contents. In addition, the subfamily of PbDIRs in fruits showed significant responses after treatment with ABA, SA, and MeJA. According to the protein tertiary structure, key amino acid residues and expression patterns analysis found that PbDIR4 might be involved in the metabolism of lignin and related to stone cells contents in pear fruits. In this study, we systematically analyzed the structure, evolution, function and expression of PbDIR family, which not only confirmed the characteristics of PbDIR family, but also laid the foundation for revealing the role of DIR in pear stone cell development and lignin polymerization.
Structure evolution of ZrB_2–SiC during the oxidation in air

The structure evolution and oxidation behavior of ZrB_2–SiC composites in air from room temperature to ultrahigh temperature were investigated using furnace testing, arc jet testing, and thermal gravimetric analysis (TGA). The oxide structure changed with the increasing temperature. SiC content has no apparent influence on the evolution of structure during the oxidation of ZrB_2–SiC below 1600 °C. However, the evolution of structure for ZrB_2–SiC above 1800 °C was significantly affected by the SiC content. The formation of the SiC depleted layer in the ZrB_2–SiC system not only depends on the surrounding conditions of pressure and temperature but also on the structure distribution of the SiC in the ZrB_2 matrix. The apparent recrystallization of the ZrO_2 occurred above 1800 °C. The SiC content should be controlled at ∼16% in the ZrB_2–SiC system for the ultrahigh-temperature application. The mechanisms of the structure evolution during oxidation in air were also analyzed.
Efficient analysis-by-synthesis in vision : A computational framework , behavioral tests , and comparison with neural representations

A glance at an object is often sufficient to recognize it and recover fine details of its shape and appearance, even under highly variable viewpoint and lighting conditions. How can vision be so rich, but at the same time fast? The analysisby-synthesis approach to vision offers an account of the richness of our percepts, but it is typically considered too slow to explain perception in the brain. Here we propose a version of analysis-by-synthesis in the spirit of the Helmholtz machine (Dayan, Hinton, Neal, & Zemel, 1995) that can be implemented efficiently, by combining a generative model based on a realistic 3D computer graphics engine with a recognition model based on a deep convolutional network. The recognition model initializes inference in the generative model, which is then refined by brief runs of MCMC. We test this approach in the domain of face recognition and show that it meets several challenging desiderata: it can reconstruct the approximate shape and texture of a novel face from a single view, at a level indistinguishable to humans; it accounts quantitatively for human behavior in “hard” recognition tasks that foil conventional machine systems; and it qualitatively matches neural responses in a network of face-selective brain areas. Comparison to other models provides insights to the success of our model.
Machine vision based physical fitness measurement with human posture recognition and skeletal data smoothing

A machine vision based measurement system for physical fitness is designed and implemented. Compared with other existing systems, our system only utilizes one Kinect sensor without bulky wearable sensors, thus enabling testees limber and free. To improve the test accuracy, a series of skeletal data smoothing methods and posture recognition algorithms are developed or used. The tests among university students and experimental results show that the performance of our system is increased and it is comparable with human beings, and therefore more practical and labor-saving.
Mass Spectrometry Imaging Reveals Heterogeneous Efavirenz Distribution within Putative HIV Reservoirs

ABSTRACT Persistent HIV replication within active viral reservoirs may be caused by inadequate antiretroviral penetration. Here, we used mass spectrometry imaging with infrared matrix-assisted laser desorption–electrospray ionization to quantify the distribution of efavirenz within tissues from a macaque dosed orally to a steady state. Intratissue efavirenz distribution was heterogeneous, with the drug concentrating in the lamina propria of the colon, the primary follicles of lymph nodes, and the brain gray matter. These are the first imaging data of an antiretroviral drug in active viral reservoirs.
SemwidgJS: A Semantic Widget Library for the Rapid Development of User Interfaces for Linked Open Data

In this paper we introduce SemwidgJS, a JavaScript based library for displaying Linked Open Data via Semantic Widgets. SemwidgJS can be integrated in almost any website and handles the querying, processing and displaying of semantic data. SemwidgJS facilitates the retrieval of semantic data with its own simplified query language SemwidgQL, a Path Query Language that allows the traversal of the Linked Data graph. For complex queries, standard SPARQL can be used as well. We pursue two objectives with this development: first, we want to provide appropriate widgets for the full range of different data types in semantic databases, second, we aim at enabling Web content publishers who are not experts in semantic technologies to make use of these data in their ordinary Web development activities.
Violence Victimization, Social Support, and Papanicolaou Smear Outcomes: A Longitudinal Study from Adolescence to Young Adulthood.

BACKGROUND African American youth are among those at greatest risk for experiencing violence victimization. Notably, the mortality rate of cervical cancer for African American women is also twice that of white women. To date, we know of no literature using longitudinal data to examine how violence victimization relates to Papanicolaou (Pap) smear results or cervical cancer in this population. Our study examines how violence victimization during adolescence (age 15 to 18) influences psychological distress, perceived social support, heavy substance abuse, and sexual risk behaviors during emerging adulthood (age 20 to 23), and subsequent Pap smear outcomes during young adulthood (age 29 to 32). METHOD This study is based on 12 waves of data collected in a longitudinal study of 360 African American women from mid-adolescence (ninth grade, mean age = 14.8 years) to young adulthood (mean age = 32.0 years). We used structural equation modeling analysis to examine the hypothesized model. RESULT Violence victimization during adolescence had a direct effect on decreased social support, increased psychological distress, and increased heavy cigarette use during emerging adulthood. Better social support was also associated with fewer sexual partners during emerging adulthood and lower odds of abnormal Pap smear results during young adulthood. The effect of violence victimization on abnormal Pap smear was mediated by social support. CONCLUSION Our results show that violence victimization during adolescence has long-term negative effects through multiple pathways that persist into adulthood. Our findings also suggest that social support may help to compensate against other risk factors. Interventions designed to address the perceived support may help victims cope with their experience.
Rate of Symptomatic Intracerebral Hemorrhage Related to Intravenous tPA Administered Over Telestroke Within 4.5-Hour Window.

BACKGROUND Intravenous tissue plasminogen activator (tPA) remains the cornerstone medical treatment for acute ischemic stroke. The establishment of telestroke technology has allowed patients presenting to hospitals that lack expert stroke care to be evaluated and receive tPA. The safety of tPA administered through telestroke has been evaluated only when tPA is given within the 3-h window of last known normal. The purpose of this study is to evaluate the safety of tPA when administered through telestroke within a 4.5-h window. METHODS A retrospective analysis on the prospectively collected database for all patients who received tPA at the Medical University of South Carolina Comprehensive Stroke Center (MUSC) (hub), as well as the MUSC telestroke network partner hospitals (spokes), was performed. Collected data included demographics, baseline characteristics, time from last known well to tPA administration, and symptomatic intracerebral hemorrhage (sICH) rates. Logistic regression was used to examine the odds of a sICH in patients at spoke sites compared with the hub controlling for patient stroke severity, gender, age, and race. RESULTS A total of 830 patients were identified. Median National Institute of Health Stroke Scale was significantly higher among patients treated at the hub (9 vs. 8, p = 0.013), and the hub treated a higher percentage of nonwhite patients (p = 0.039). sICH occurred in 27 (4.8%) in the spoke group and 10 (3.8%) in the hub group (p = 0.523). Logistic regression results found no significant difference in the odds of sICH if tPA is given in a spoke site. CONCLUSIONS Our study shows similar rates of sICH when intravenous tPA is administered at spokes through telestroke network compared with the hub.
Dropping Activation Outputs With Localized First-Layer Deep Network for Enhancing User Privacy and Data Security

Deep learning methods can play a crucial role in anomaly detection, prediction, and supporting decision making for applications like personal health-care, pervasive body sensing, and so on. However, current architecture of deep networks suffers the privacy issue that users need to give out their data to the model (typically hosted in a server or a cluster on Cloud) for training or prediction. This problem is getting more severe for those sensitive health-care or medical data (e.g., fMRI or body sensors measures like EEG signals). In addition to this, there is also a security risk of leaking these data during the data transmission from user to the model (especially when it is through the Internet). Targeting at these issues, in this paper, we proposed a new architecture for deep network in which users do not reveal their original data to the model. In our method, feed-forward propagation and data encryption are combined into one process: we migrate the first layer of deep network to users’ local devices and apply the activation functions locally, and then use the “dropping activation output” method to make the output non-invertible. The resulting approach is able to make model prediction without accessing users’ sensitive raw data. The experiment conducted in this paper showed that our approach achieves the desirable privacy protection requirement and demonstrated several advantages over the traditional approach with encryption/decryption.
Association of Hematological Variables with Team-Sport Specific Fitness Performance

Purpose We investigated association of hematological variables with specific fitness performance in elite team-sport players. Methods Hemoglobin mass (Hbmass) was measured in 25 elite field hockey players using the optimized (2 min) CO-rebreathing method. Hemoglobin concentration ([Hb]), hematocrit and mean corpuscular hemoglobin concentration (MCHC) were analyzed in venous blood. Fitness performance evaluation included a repeated-sprint ability (RSA) test (8 x 20 m sprints, 20 s of rest) and the Yo-Yo intermittent recovery level 2 (YYIR2). Results Hbmass was largely correlated (r = 0.62, P<0.01) with YYIR2 total distance covered (YYIR2TD) but not with any RSA-derived parameters (r ranging from -0.06 to -0.32; all P>0.05). [Hb] and MCHC displayed moderate correlations with both YYIR2TD (r = 0.44 and 0.41; both P<0.01) and RSA sprint decrement score (r = -0.41 and -0.44; both P<0.05). YYIR2TD correlated with RSA best and total sprint times (r = -0.46, P<0.05 and -0.60, P<0.01; respectively), but not with RSA sprint decrement score (r = -0.19, P>0.05). Conclusion Hbmass is positively correlated with specific aerobic fitness, but not with RSA, in elite team-sport players. Additionally, the negative relationships between YYIR2 and RSA tests performance imply that different hematological mechanisms may be at play. Overall, these results indicate that these two fitness tests should not be used interchangeably as they reflect different hematological mechanisms.
Drosophila larvae synthesize the putative oncometabolite L-2-hydroxyglutarate during normal developmental growth

Significance Oncometabolites are small molecules that promote tumor formation and growth. L-2-hydroxyglutarate (L-2HG) is a putative oncometabolite that is associated with gliomas and renal cell carcinomas, as well as a severe neurometabolic disorder known as L-2-hydroxyglutaric aciduria. However, despite that L-2HG is commonly considered a metabolic waste product, this compound was recently discovered to control immune cell fate, thereby demonstrating that it has endogenous functions in healthy animal cells. Here, we find that the fruit fly, Drosophila melanogaster, also synthesizes high concentrations of L-2HG during normal larval growth. Our discovery establishes the fly as a genetic model for studying this putative oncometabolite in healthy animal tissues. L-2-hydroxyglutarate (L-2HG) has emerged as a putative oncometabolite that is capable of inhibiting enzymes involved in metabolism, chromatin modification, and cell differentiation. However, despite the ability of L-2HG to interfere with a broad range of cellular processes, this molecule is often characterized as a metabolic waste product. Here, we demonstrate that Drosophila larvae use the metabolic conditions established by aerobic glycolysis to both synthesize and accumulate high concentrations of L-2HG during normal developmental growth. A majority of the larval L-2HG pool is derived from glucose and dependent on the Drosophila estrogen-related receptor (dERR), which promotes L-2HG synthesis by up-regulating expression of the Drosophila homolog of lactate dehydrogenase (dLdh). We also show that dLDH is both necessary and sufficient for directly synthesizing L-2HG and the Drosophila homolog of L-2-hydroxyglutarate dehydrogenase (dL2HGDH), which encodes the enzyme that breaks down L-2HG, is required for stage-specific degradation of the L-2HG pool. In addition, dLDH also indirectly promotes L-2HG accumulation via synthesis of lactate, which activates a metabolic feed-forward mechanism that inhibits dL2HGDH activity and stabilizes L-2HG levels. Finally, we use a genetic approach to demonstrate that dLDH and L-2HG influence position effect variegation and DNA methylation, suggesting that this compound serves to coordinate glycolytic flux with epigenetic modifications. Overall, our studies demonstrate that growing animal tissues synthesize L-2HG in a controlled manner, reveal a mechanism that coordinates glucose catabolism with L-2HG synthesis, and establish the fly as a unique model system for studying the endogenous functions of L-2HG during cell growth and proliferation.
The effects of cash transfers and vouchers on the use and quality of maternity care services: A systematic review

Background Cash transfers and vouchers are forms of ‘demand-side financing’ that have been widely used to promote maternal and newborn health in low- and middle-income countries during the last 15 years. Methods This systematic review consolidates evidence from seven published systematic reviews on the effects of different types of cash transfers and vouchers on the use and quality of maternity care services, and updates the systematic searches to June 2015 using the Joanna Briggs Institute approach for systematic reviewing. The review protocol for this update was registered with PROSPERO (CRD42015020637). Results Data from 51 studies (15 more than previous reviews) and 22 cash transfer and voucher programmes suggest that approaches tied to service use (either via payment conditionalities or vouchers for selected services) can increase use of antenatal care, use of a skilled attendant at birth and in the case of vouchers, postnatal care too. The strongest evidence of positive effect was for conditional cash transfers and uptake of antenatal care, and for vouchers for maternity care services and birth with a skilled birth attendant. However, effects appear to be shaped by a complex set of social and healthcare system barriers and facilitators. Studies have typically focused on an initial programme period, usually two or three years after initiation, and many lack a counterfactual comparison with supply-side investment. There are few studies to indicate that programmes have led to improvements in quality of maternity care or maternal and newborn health outcomes. Conclusion Future research should use multiple intervention arms to compare cost-effectiveness with similar investment in public services, and should look beyond short- to medium-term service utilisation by examining programme costs, longer-term effects on service utilisation and health outcomes, and the equity of those effects.
Routing protocol design for drone-cell communication networks

This paper is concerned with the design of routing protocol capable of congestion mitigation for drone-cells communication networks where drone-cells remain stationary in the sky as relays. All of the (distance or hop-count based) existing routing protocols can perform well when the network is lightly loaded. Once the network is heavily loaded, a large number of packets might be backlogged in queues of network nodes since these protocols can not be aware of the network congestion condition. In this paper, we propose a queuing delay and transmission delay based routing protocol (QDTD) to relieve the network congestion caused by heavily loaded traffic. First, QDTD designs a novel ForWard-Back (FWB) queue architecture that significantly reduces the number of queues maintained at each network node. Second, both queuing delay and transmission delay are leveraged as a routing metric to enhance the performance of QDTD. Experimental results show that QDTD can effectively relieve the network congestion and reduce the overall network delay and achieve high throughput.