Miracle-dz/UniFAR-FTUs huggingface dataset:
Impacts of Absolute and Relative Income on Self-Rated Health in Urban and Rural China

This study aims to assess the impacts of absolute and relative income on self-rated health (SRH) of residents in rural and urban China. Data were derived from the China Health and Nutrition Survey. Three distinct measures of relative income were considered (Gini coefficient, Yitzhaki index, and Deaton index) and computed for 3 geographic units (nation, province, and community). Nonlinear dynamic models for panel data were employed to test the absolute and relative income hypotheses. Absolute income was significantly associated with SRH among urban and rural populations. Relative income, as measured by the Gini coefficient, the Yitzhaki index, and the Deaton index, had statistically significant and negative impacts on SRH among the rural population, regardless of the reference group. For the urban population, the Gini coefficient was associated with SRH regardless of the reference group. In contrast, only the Yitzhaki index and the Deaton index at the provincial level were associated with SRH among the urban population. Our findings may provide a reference for policymakers to implement health policies designed to improve population health.
Restoring the Bacloville trial: efficacy and harms.

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Restoring the Bacloville trial: efficacy and harms Florian Naudet, Alain Braillon, Ioana A Cristea, Joel Lexchin
Inter-population variability in Pratylenchus vulnus Allen & Jensen, 1951 (Nematoda: Tylenchida)

Data on morphometric characters of females and males belonging to a set of Pratylenchus vulnus populations and isolates of different geographical origin and cultured under different developmental conditions were analysed. Characters were grouped into three categories (low, medium and high variability) according to a percentage of inter-population variance. The characters included in the low variability category were barely influenced by environmental conditions, whereas those characters with high values were substantially influenced. Some characters are more significant than others for species identification whereas other, more variable, characters would be better considered when comparing isolates and/or populations of P. vulnus .
Morphology and ecology of Phialocephala fortinii in roots of Rhododendron brachycarpum

The morphology of the interaction of three strains of Phialocephala fortinii with the roots of Rhododendron brachycarpum was examined by light, scanning, and transmission electron microscopy using material grown in axenic Petri dish cultures and in nonsterile pot cultures. In Petri dish cultures, Phialocephala fortinii quickly overwhelmed root tips of young seedlings, causing distortion of cells of the root apex and inhibition of elongation. In older roots, mature, vacuolated, and moribund epidermal cells were penetrated. In pot-cultured plants the epidermis was heavily colonized by hyphae growing parallel to the long axis of the root. Microsclerotia formed within individual cells, between the epidermal and the subepidermal layers, and within cells surrounding the point of emergence of lateral roots. Hyphae did not invade the stele. The effects of two strains of Phialocephala fortinii on shoot dry weight accumulation of R. brachycarpum grown in pot culture were examined and compared with the effects of Hy.
Performance of PEth Compared With Other Alcohol Biomarkers in Subjects Presenting For Occupational and Pre-Employment Medical Examination

Abstract Aims To compare the performance of short- and long-term alcohol biomarkers for the evaluation of alcohol drinking in employment-related health controls. Methods The 519 blood samples originated from 509 patients (80% men) presenting at occupational health units and medical centers at employment agencies for the evaluation of risky drinking. The laboratory investigation comprised the measurement of phosphatidylethanol (PEth 16:0/18:1), carbohydrate-deficient transferrin (CDT; % disialotransferrin), gamma-glutamyl transferase (GGT), mean corpuscular volume (MCV), ethanol and ethyl glucuronide (EtG). Results Many samples tested positive for acute (57%) and chronic (69%) alcohol biomarkers. PEth was the single most positive biomarker (64%; cut-off 0.05 μmol/l or 35 μg/l) and the only positive chronic biomarker in 100 cases. The highest PEth concentrations were seen in samples positive for all chronic biomarkers, followed by those also being CDT positive (cut-off 2.0%). All 126 CDT-positive samples were positive for PEth using the lower reporting limit (≥0.05 μmol/l) and for 114 cases (90%) also using the higher limit (≥0.30 μmol/l or 210 μg/l). In the CDT-positive cases, the PEth median concentration was 1.71 μmol/l, compared with 0.45 μmol/l for the CDT-negative cases (P < 0.0001). PEth and CDT values were correlated significantly (r = 0.63, P < 0.0001). Among the EtG-positive cases (≥1.0 ng/ml), 95% were also PEth positive, and all ethanol-positive cases (≥0.10 g/l) were also PEth positive. Conclusions For optimal detection of drinking habits, using a combination of short- and long-term alcohol biomarkers provided best information. PEth was the single most positive alcohol biomarker, whereas GGT and MCV offered little additional value over PEth and CDT.
Prior viral illness increases heat stroke severity in mice

What is the central question of this study? We hypothesized that prior illness would increase the susceptibility to and severity of heat stroke (HS). What is the main finding and its importance? We provide the first experimental evidence, using a mouse model of HS, that recent viral illness increases the severity of HS. Our data indicate that this effect is not attributable to the exacerbation of hyperthermia but is a consequence of ongoing coagulation and systemic inflammatory reactions. Our data suggest that measurement of platelets, cytokines and chemokines before heat exposure might be indicative of susceptibility to HS, with coagulation and inflammation being potential targets for intervention that could improve recovery.
A nurse-led intervention to promote physical activity in sedentary older adults with cardiovascular risk factors: a randomized clinical trial (STEP-IT-UP study)

Background Regular physical activity should constitute the essence of treatment in patients with cardiovascular risk factors. We sought to determine the benefits of nurse-led intervention to promote physical activity in sedentary older adults in a primary care setting. Methods A group of 199 sedentary older adults (mean age 62.7±6.9, 34.2% male) with at least one more cardiovascular risk factor were randomized 1:1 to receive a nurse-led tutorial on lifestyle modification, including pedometer hand-out – with a daily goal of at least 7000 steps – and supporting phone calls (study group), or without a goal or calls (control group). Body weight (BW), resting heart rate, systolic and diastolic blood pressure (SBP/DBP), total cholesterol (TC) and glucose were assessed at baseline and after 3 months. Results Subjects in the study group (n = 86) achieved higher daily step count in comparison to the control group (n = 78), 10,648±3098 vs. 3589±2000, p < 0.0001. The study group presented an improvement in all analysed parameters but glucose, including BW (−2.5±1.9 kg), SBP and DBP (−7.9±7.6 mmHg and −6.2±6.5 mmHg) and TC (−14.7±30.4 mg%), all p < 0.0001. In the control group, all parameters increased or remained unchanged. An inverse correlation between the daily step count and delta of the analysed parameters (r = −0.26 to −0.72, p < 0.001) was found. Conclusion Nurse-led intervention with pedometer, goal setting and supporting phone calls is an effective way to promote physical activity in sedentary older adults and leads to improvement of cardiovascular risk factors within 3 months.
Classification and Sharing Method of Malware Based on Threat Intelligence

In recent years, the number of malware continues to grow, which has a huge impact on individuals, enterprises and so on. In this paper, a method of malware classification and sharing based on Threat Intelligence is proposed, which transforms malware into gray-scale image and uses broad learning system to classify malware. we design a malware intelligence storage system based on IPFS and Ethereum smart contract. For classified intelligence, it is uploaded by user node to realize the prevention from single node to full node. Experiments show that the performance of this algorithm is better than other classification algorithms, and the decentralized storage system based on blockchain is more secure and efficient.
System Strength Improvement Using Reactive Compensation for Enhanced PV Hosting Capacity

The installation of dispersed generation in on the rise in modern power systems, while the investments on conventional large generators are declining. The majority of distributed generators (DG) are non-synchronous type such as photovoltaic generators (PV), which are operated at near unity power factor. These non-synchronous generators lack the capability of reactive power support and hence the strength of the system to withstand disturbances is deteriorating. Therefore, capacity of network to host more PV units is posing a major challenge. Deterioration of system strength is revealed by decreasing fault levels and short circuit ratio (SCR) across the nodes of a network as a result of increasing penetration of PV units. Therefore, utilities have prescribed minimum values of short circuit ratio as an important minimum requirement for the connection of new solar PV generators. This paper investigates the impact of solar PV units’ connection on SCR of an electricity network. Appropriate size of reactive compensation is calculated for the improvement of SCR. The effectiveness of capacitive compensation on the improvement of SCR across the network is also demonstrated.
Tillering, internode development, and dry matter partitioning in creeping bentgrass

High tiller density and stolon development are critical to wear tolerance and persistence of creeping bentgrass (Agrostis palustris Huds. synonym A. stolonifera L.). A better understanding of creeping bentgrass growth and development would be helpful in screening germplasm for improved turf characteristics. The objectives of this study were to determine tiller appearance and main stem elongation and development, and to determine above ground dry matter partitioning, in high and low tillering populations of creeping bentgrass grown under low light (150 μmol m -2 s -1 ). Individual, pregerminated seeds of cv. Emerald and germplasm UM67-10 were transplanted into 10-cm pots containing an 80:20 (v/v) sand:peat media. Two growth cabinet experiments were conducted under 16- and 8-h photoperiod and 20/15°C day/night temperatures. Phenological development was monitored through 35 d after transplanting (DAT). Dry weight per tiller was correlated to tiller age for main stem and primary tillers (r = 0.98 and r = 0.99) and secondary tillers (r = 0.93 and r = 0.99) for UM67-10 and Emerald, respectively, at 35 DAT. Dry weight per tiller was related to tiller elongation. Population differences for dry weight accumulationper day were significant (P = 0.05) for lower order tillers. The germplasm UM67-10 initiated tillering earlier and main stem elongation later than Emerald. Tillers per plant were correlated to tiller appearance date. Elongating tiller weight within populations was related to main stem elongation date and its final length. Late season planting, when daylight is decreasing, will result in a bentgrass stand with fewer tillers per plant and with little elongated stem growth. Screening germplasm for tiller production in a growth cabinet may facilitate identifying grasses with high tiller density and improved wear tolerance.
Benefits of Bias in Crawl-Based Network Sampling for Identifying Key Node Set

We study the problem of identifying a set of key nodes from a network when limited knowledge about its structure is available. Most studies assume complete knowledge of the given network when identifying a set of key nodes, but in current practice, networks of interest are often too huge to obtain their entire topological structures. When the complete structure of a network is not available, network sampling strategies are often used to obtain a partial structure of the network. We investigate how network sampling strategies affect the problem of identifying a key node set. Specifically, we investigate the effect of conventional network sampling strategies on the solutions found for two types of key node set identification problems: the minimum $p$ -median problem and the influence maximization problem. Our results show that when the network is obtained using crawl-based network sampling strategies, both the minimum $p$ -median and the influence maximization problems are effectively solved by simple heuristic algorithms with sampling ratios in the 10–20% range. We also find that among three conventional sampling strategies (random sampling, random walk sampling, and sample edge counts) checked in this paper, random walk sampling is the most robust strategy in terms of effectively identifying the key node sets of diverse types of networks.
A Multivariate Public Key Encryption Scheme With Equality Test

The public key encryption with equality test (PKEET) allows the cloud server to judge whether two different ciphertexts are generated by the same message without decryption. Through this technique, PKEET provides an effective solution for building secure outsourced databases, and has made some rich achievements. This paper combines multivariate public key encryption and equality test, and proposes the first multivariate public key encryption scheme with equality test (MPKEET), which inherits the advantages of both primitives. Moreover, the equality test algorithm proposed in this paper is based on a straight line. Compared with the schemes based on bilinear pairing, it is simpler and easier to implement. And our MPKEET scheme achieves desirable security, which can resist linearization equation attacks, differential attacks, XL attacks, Gröbner basis attacks and the attack of quantum computer, when appropriate parameters are selected.
Characterization of Malassezia spp. in Oral Cavity of Dog

The purpose of this study was to identify and to characterize of Malassezia spp. in the oral cavity of dog. One hundred and seventeen strains of Malassezia spp. were isolated from fresh clinical isolates of fungi from 20 dogs. The isolates grew well on Sabouraud agar, and produced catalase and precipitates on Tween-medium, and hydrolyzed esculin. Colony morphologies and sizes were characteristic on CHROMagar Malassezia (CHROM) : they developed small, violet color, medium, violet color with pink edge, or large, pale pink color colonies. Molecular investigations of 18 isolates in three different morphological colonies on CHROM from 6 subjects were carried out by chitin synthase 2 (CHS2) gene sequence analysis. The results showed that isolates constitute three genetic types (AC, BC, and CC). Type AC, BC, and CC consisted of 3, 8, and 7 isolates, respectively. The three isolates from only one subject were grouped into the same genotype. These results suggest that the isolates in the oral cavity of dog were Malassezia pachydermatis, and the isolates in CHS2 genetic group were diverse. The relationship between colonial morphology and genetic typing was inconsistent.
Influence of the Substrate Material on the Radar Cross Section of Square Loop Unit Cells for Frequency Selective Surfaces

In this paper, we analyze the impact of the substrate material on the Radar Cross Section (RCS) of multi-resonant square loop unit cells. A FSS cell with resonance frequencies at 2GHz, 2.5GHz and 3GHz was simulated for different values of the dielectric permittivity, corresponding to several types of substrate, and materials that yield optimal results were identified.
PTPG: A Poisson Triangular Pattern Generator for Tokens on Tangible Surfaces

We present PTPG (Poisson triangular pattern generator), a method that generates and optimizes triangular patterns for tokens on tangible surfaces. PTPG uses spatial information of markers to form triangular patterns and processes a template-matching algorithm to identify patterns. We introduce Poisson disk sampling to search patterns in the feature vector space and set sampling constraints to obtain patterns that meet the requirements of size, shape, and pattern distance. The patterns optimized by a shape constraint address the marker-loss problem caused by a common design of capacitive tokens, and therefore improve the recognition rate. We manufacture ten sets of prototype tokens based on the patterns generated by Poisson sampling and test these tokens on different devices. Experimental results show that our method provides more unique patterns than other heuristic methods, and the patterns are applicable to different tangible surfaces with high recognition rates.
Ka-Band Slotted SIW Phased Array Antenna

In this paper, a slotted substrate integrated waveguide (SIW) beamforming phased array antenna is investigated. The phased array antenna is fed by a highly integrated Quadchannel RX/TX Ka-band time delay beamforming RFIC. The proposed antenna is 64-element slot array antenna built in three-layer printed circuit board which are connecting through a Microstrip-Coaxial-Microstrip (MCM) transition with surrounding metallic via-holes. Different MCM topologies are investigated through a pervasive parameter studies. The proposed antenna is operating at 30-GHz with bandwidth of 1.4 GHz (-10-dB return loss) and directivity of 15.6 dBi.
Is Centimeter Accuracy Achievable for LTE-CSI Fingerprint-Based Indoor Positioning?

Channel state information (CSI) fingerprint based indoor positioning has been extensively studied. While centimeter-level positioning accuracy has been demonstrated for Wi-Fi systems, only meter-level accuracy was reported for Long-term Evolution (LTE) systems. To investigate whether the centimeter accuracy is achievable or not for LTE systems, we examine the factors that affect the positioning accuracy to guide the implementation of a LTE-CSI fingerprinting system, where a novel phase compensation method is proposed to improve the CSI quality. We demonstrate for the first time that the centimeter-level positioning accuracy is achievable for LTE systems through extensive experiments.
Measurement of 4G LTE Cells with SDR Technology

Today, measurements on wireless mobile systems require specific, high-cost instruments. This hinders both its access from academia for education and research, and its widespread use by service providers for optimization of their networks. To address these problems, we present and demonstrate choices for measurement of 4G LTE access networks through open-source Software Defined Radio (SDR) tools. As first contribution, we survey and sort the most relevant measurements present in commercial equipment for measurement of LTE cells. In second place, we survey and compare available SDR libraries for this application, describing their technical details and trade-offs. As third and main contribution, we combine these tools for selected measurements, demonstrating its application in field measurement cases. The applications of our work go from teaching, research and development, to health monitoring of in-service networks.
Target Recognition and Location Based on Deep Learning

In recent years, more and more people have invested in the research and industrialization of intelligent robots. No matter in the scene of smart home, agriculture, industry or office, the intelligent cognitive level of robot in target recognition and location is far behind that of human. Previous research have relied on computer vision, machine learning and other related technologies. Although a certain effect is achieved, the intelligence level is still low. Using deep learning algorithm and target positioning to explore the real-time and accuracy of target recognition in different environments, and then develop robotic intelligent grasping system, has becoming a research hotspot in the field of computer vision and artificial intelligence. In this paper, based on the improved deep learning algorithm-YOLO, we explored the three-dimensional positioning of the target with a monocular structured light camera. The results show that its performance in real-time, accuracy and other aspects is very significant. It effectively learns the human ability in image recognition and target location, and has the ability of rapid recognition and environmental adaptability.
Synthesis of Gold Glyconanoparticles and Biological Evaluation of Recombinant Gp120 Interactions

As part of our continuing efforts to study the molecular events involved in HIV recognition of mucosal membrane cells, we are studying the interactions of the HIV-associated glycoprotein gp120, with the cellular receptor GalCer. In this work, we report investigations of multivalent interactions of Au glyconanoparticles containing galactosyl and glucosyl headgroups with recombinant gp120. These particles were prepared from disulfides containing C-glycosides linked to triethylene glycol via an amide bond using a modification of the Brust method.1 Results from transmission electron microscopy, atomic force microscopy, and UV−vis absorption spectroscopy data are consistent with an average particle diameter of 2 nm. Elemental analyses indicate that the average composition of the particles is 1.6:1 Au:carbohydrate. A biotin−NeutrAvidin adhesion assay was used to evaluate the relative ability of carbohydrate disulfides and Au glyconanopraticles to displace rgp120 from plate-bound GalCer. The data indicate that d.
Food web design and the effect of species deletion

This paper explores the theoretical and experimental consequences of large perturbations to ecological communities. Previous studies have examined the attributes of model food webs that lead to stability when subjected to small perturbations to the densities of their constituent species. These attributes are numerous and real food webs possess many of them, though the restriction of stability is not their only explanation. One criticism of such studies is that small perturbations may be more of a mathematical convenience than a biological reality. I argue to the contrary. Some species are (1) slow to respond once perturbed and (2) may become extinct if depressed below some critical density. In consequence, a large perturbation may often be modelled by deleting a species from a system. Species deletion stability is defined as a system retaining all of its remaining species at a feasible, locally stable equilibrium after one of the species has been removed. Increasing food web complexity makes the systems more stable only when the plants and herbivores are removed. Removing the carnivores leads to reduced stability with increased complexity. Certain models, where carnivores do not exercise a controlling influence on the density of their prey (donor-control), show increased stability with increasing complexity, simply because the predator removals have no effect. Data on experimental species removals show that many real systems are not species deletion stable. From this I draw two conclusions: (1) real systems do not recover, at least quickly, from large perturbations and so requiring model systems to have this feature unlikely to be informative about food web design, (2) donor-control dynamics do not describe many real systems and, with their rejection goes one of the otherwise more plausible model systems where stability increases with complexity.