Miracle-dz/UniFAR-FTUs huggingface dataset:
PHYLOGENY OF DERMANYSSOIDEA (ACARI: PARASITIFORMES) SUGGESTS MULTIPLE ORIGINS OF PARASITISM

The Dermanyssoidea is an extremely diverse lineage of mites that are found as free-living predators as well as facultative and obligate parasites of mammals, birds, lepidosaurs, and various arthropod groups. The primitive condition in the group is assumed to be that of free-living predators, and parasitism is thought to have evolved numerous times throughout Dermanyssoidea. In non-phylogenetic treatments, the subfamily Hypoaspidinae (Laelapidae) has been hypothesized as the most primitive group within Dermanyssoidea, and the subfamily Laelapinae has been was suggested as the source of most parasitic lineages. This study uses the 28S region (domains 1-3) of the nuclear rDNA array to address phylogenetic relationships within Dermanyssoidea and the evolution of parasitism. Results suggest parasitism of vertebrates and arthropods has evolved a minimum of eight independent times, and the majority of these events have occurred outside of the Laelapinae.
Personalized Decision-Making and Learning under High-dimensional Data With Limited Samples

Limited Samples Individual-level data have become increasingly accessible in the Internet era, and decision-makers have accelerated data accumulation with extraordinary speed in a variety of industries, such as health-care, retail, and advertising. The growing availability of user-specific data, such as medical records, demographics, geographic, browsing/shopping history, etc. provides decision-makers with unprecedented opportunities to tailor decisions to individual users. For example, doctors (i.e., decision-makers) can personalize treatments for patients (i.e., users) based on their medical history, clinical tests, and biomarkers (i.e., user-specific data). These data are often collected sequentially over time, during which decision-makers adaptively learn to predict users’ responses to each available decision as a function of users’ covariates (i.e., the exploration phase) and optimally adjust decisions (e.g., treatments) to maximize their rewards (i.e., the exploitation phase) – an online learning and decision-making process. We adopt the multi-armed bandit model (Robbins 1952) to study this process. Individual-level data are typically presented in a high-dimensional fashion, which poses significant computational and statistical challenges for decision-makers. In particular, traditional statistic methods, such as Ordinary Least Squares (OLS), require a substantial number of samples (e.g., the sample size must be larger than the dimension of all covariates) in order to be deemed computationally feasible. Yet, under the highdimensional data structure, learning the accurate predictive models requires even more data samples, which are obtained through costly trials or experiments. Learning algorithms, such as Lasso (Tibshirani 1996) and Minimax Concave Penalized (MCP) (Zhang et al. 2010), have been developed to recover the latent sparse data structure for high-dimensional data. Therefore, compared to traditional statistic methods, Lasso and MCP use significantly fewer data samples and deliver better performance in high-dimensional settings. In this paper, we propose a new algorithm, the MCP-Bandit algorithm, for online learning and decisionmaking processes in high-dimensional settings. Our algorithm follows the ideas of the bandit model to balance the exploration-and-exploitation trade-off and adopts the MCP estimator to expedite the convergence of our parameter estimations to their true values and to improve their statistical performances. Since we focus on the multi-arm bandit model that mixes the exploitation and exploration phases, samples generated under
Feature selection on heterogeneous graph

Heterogeneous graph based information recommendation have been proved useful in recent studies. Given a heterogeneous graph scheme, there are many possible meta paths between the query node and the result node, and each meta path addresses a hypothesis‐based ranking function. In prior researches, meta paths are manually selected by domain experts. However, when the graph scheme becomes complex, this method can be inefficient. In this study, we propose feature generation tree, a novel feature selection method for heterogeneous graph mining based recommendation algorithms, which adds graph structure information into the original “feature selection for ranking” algorithm and saves a fair amount of time for feature computation. In our preliminary experiment, the proposed method outperforms the original “feature selection for ranking” algorithm in both efficiency and effectiveness.
Offshore surface geochemical exploration

Surface geochemical exploration is based on the premise that the detection of upward migrated hydrocarbons in near-surface sediments from deep sourced rocks, natural gas, or crude oil accumulations is useful information for the petroleum explorationist. Surface geochemical data historically have been used both to map fields (Horvitz, 1985) and as regional indicators of whether an area is oil or gas prone (Faber and Stahl, 1985; Gervirtz et al., 1983).
On the Origin of the HTEM Species

By the year 2000, the airborne EM world was mainly dominated by two types of systems mounted on two very different types of platforms: the fixed wing AEM time domain systems and the HFEM systems. The idea of breeding fixed wing time domain AEM systems with HFEM systems became a reality. The objective was to get the best of the two worlds by combining the high transmitter power of fixed wing systems for depth penetration with the slower speed and flying altitude of the HFEM systems for higher spatial resolution and/or surveys over more rugged topography. During the last 5 years, the helicopter time-domain (HTEM) systems evolved rapidly to meet customer needs and finally took over their parent systems for most applications. Between 2000 and 2002, three HTEM systems were commercially operational: the AeroTEM by Aeroquest Ltd, the VTEM by Geotech Ltd, and the THEM by THEM Geophysics Inc. At about the same time, three major mining companies were developing their own in-house systems: Normandy Exploration Ltd with the HoisTEM, Newmont Mining Corp. with the NewTEM and Anglo with the ExplorHEM. A short while later, two additional systems were born: the SkyTEM of SkyTEM ApS and the HeliGEOTEM of Fugro Airborne Survey. The improvement in data quality, signal to noise ratio, depth of investigation, spatial resolution, conductance aperture and conductance discrimination, these systems achieved in such a short period of time is remarkable. However adaptation is context-sensitive; an evolutionary change that increases fitness in one exploration environment may decrease its ability to survive in another. This is why some systems have been designed to be more universal, whereas others are more target specific. In all cases, improvement in system efficiency can be attributed to major changes or fine tuning of basic specifications such as the increase of the dipole moment, a proper selection of the pulse waveform and base frequency, the possibility of measuring the on-time secondary field for B-field calculation and an efficient rejection of different sources of noise. Over the last 5 years the HTEM systems have adapted quickly and successfully to their exploration environment and to the client’s needs. However clients will always need more bandwidth, better resolution and greater depth of penetration at lower cost.
Factorial Experimental Design for the Optimization of β-Naphthol Photocatalytic Degradation in TiO2 Aqueous Suspension

A factorial experimental design was developed to describe the photocatalytic degradation of βnaphthol in a circulating photo-reactor using TiO2 aqueous suspension. The main and interaction factors studied were the initial concentration of β-naphthol, TiO2 dosage, pH and circulation flow. The parameters coded as X1, X2, X3 and X4, consecutively, and were investigated at two levels (−1 and +1). The effects of individual variables and their interaction effects for dependent variables, namely, photocatalytic degradation efficiency (%) were determined. The experimental results and statistical analysis show that increasing in the initial concentration of β-naphthol decreases the photocatalytic degradation efficiency whereas the increase of TiO2 dosage, pH and the circulation flow have a positive effect on the photocatalytic degradation. The interaction between TiO2 dosage and circulation flow was the most influencing interaction. However, the interaction between TiO2 dosage and pH was the least influencing interactions. The variance analysis (ANOVA) was applied and the statistic data showed adequate model.
BIOARCHAEOLOGY , CONSERVATION AND DISPLAY OF A 16 K-HUMAN SKELETON , JORDAN

The Jordanian Museum of Cultural Heritage houses the oldest human skeleton unearthed in Jordan; Radiocarbon analysis revealed a date of approximately 16000 years BP. The purpose of the study is to reconstruct the biology and way of life of an individual who lived in an era that is still ignored by archaeologists in the region. The methods of the reconstruction include bioarchaeological investigation, XRD, XRF, FTIR, pH meter, and microbiology. The reults indicate a 31-years-old male with an estimated height of about 172.4-175.2 cm. The bone pathology on the vertebrae and long bones suggests that the individual endured hard daily life activites. His teeth showed oblique dental wear that is attributed to using them as tools. The cause of death was probably due to a blunt force trauma to the left side of the skull. The bone analyses using XRD, XRF, FTIR, and pH meter ruled out bone diagenesis, which nominate the skeleton for further chemical analyses. The microbiological tests revealed the presence of a wide range of microorganisms: Aspergillus viger, Pencillium chryogenum, Penicillum digitatum, yeasts, Corynebacterium equantium, Corynebacterium pyogemes, Escherichia coli, Pseudomonas pseudoaclingenes, Staphylcococus aureus, Salmonella enterica, and Corynebacterium pseudodiphthriticum. For the purpose of exhibiting the skeleton at the Museum and ensuring longer survival, the previous conservation materials (P.V.A) were replaced by new ones (Paraloid B 72).
Modelling and simulating for coupling development mechanism of regional logistics-economic complex system

The concept and composing parts of Regional Logistics-Economic Complex System have been established firstly. System dynamics model for the coupling interactive development of RLECS has been constructed. According to Heilongjiang Province Economic and logistics data, the effectivity of the model has been tested. Coupling development evolution paths for adaptive development, logistics system exceed moderately and other industry priority have been simulated. The results show that adaptive adjustment mechanism exists in RLECS. Logistics system exceed moderately is the most favorable for priority to the long-term growth of the regional economy.
SYNTHESIS OF THERMALLY STABLE METAL-OXIDE HYBRID NANOCATALYST WITH ENCAPSULATION OF Pt and Ru NANOPARTICLES

There has been significant progress recently in the synthesis of nanocatalysts of tunable particle size, shape and composition [1-3]. The advantages of nanoparticles in catalyzing chemical reactions have long been recognized. Catalytic studies of metal nanoparticles have shown that dispersion on an oxide or other support yields higher activity and selectivity [4]. However, thermal and chemical stability are crucial for nanoparticle use in industrial reactions. Organic capping agents, which are widely used in colloidal chemistry to stabilize nanoparticles at mild conditions, decompose at temperatures above 300–400C, leaving the uncapped nanoparticles unprotected against sintering and deactivation [4]. To overcome sintering effects, various designs for high-temperature stable nanocatalysts have been reported [5-12] and developed, including alloying metal nanoparticles to increase the melting point, encapsulation of metals, core-shell models, loading of metals into the pores of mesoporous structures, and rare earth metal oxide supports, despite any disadvantages. Core-shell structures form a barrier layer, usually mesoporous oxides on the metal nanoparticle to prevent them from coming into contact with each other [6,7,10], and surface protected etching for encapsulation of the supported metal nanoparticles [10]. Mesoporoous silica can be formed by the removal of long-chain hydrocarbonbased capping molecules used on nanoparticles, silica precursor-containing long hydrocarbon chains, or etching of the silica layer [7,11,12]. However, it is challenging to form an oxide layer on smaller nanoparticles (<2 nm) and to achieve high dispersion of the metal in core-shell models to attain maximum catalytic performance. To overcome lengthy synthesis steps and to get a high dispersion of metal, a facile synthesis of high-temperature stable hybrid nanocatalysts by coating ultra-thin titania on silica supported Pt nanoparticles has been developed [10]. This approach involves the design of a metal-oxide hybrid nanocatalyst, including coating an ultra-thin active-titania layer on supported nanoparticles, which prevents sintering and provides high thermal stability while maximizing the metal-oxide interface for higher catalytic activity. In addition, our hybrid nanocatalyst can be characterized by surface sensitive techniques, as the nanoparticles are covered by an ultra-thin oxide (few nanometers) that exposes metals on the surface. In this paper, we present the synthesis of ultra-thin titania-coated supported-Pt and Ru hybrid nanocatalysts. It is highly desirable to explore the feasibility of our design to transform various important metal nanoparticles (Pt, Ru, Rh, PtNi etc.) into high-temperature stable catalysts. Herein, we focus on Ptand Ru Ru-based nanocatalysts, and investigate their relative thermal stability and surface analysis by XPS. This structural investigation could be helpful for the rational design of heterogeneous catalysts that have high thermal and chemical stability.
Enhanced Cutaneous Wound Healing In Vivo by Standardized Crude Extract of Poincianella pluviosa

Wound healing is a complex process that involves several biological events, and a delay in this process may cause economic and social problems for the patient. The search continues for new alternative treatments to aid healing, including the use of herbal medicines. Members of the genus Caesalpinia are used in traditional medicine to treat wounds. The related species Poincianella pluviosa (DC.) L.P. Queiroz increases the cell viability of keratinocytes and fibroblasts and stimulates the proliferation of keratinocytes in vitro. The crude extract (CE) from bark of P. pluviosa was evaluated in the wound-healing process in vivo, to validate the traditional use and the in vitro activity. Standardized CE was incorporated into a gel and applied on cutaneous wounds (TCEG) and compared with the formulation without CE (Control) for 4, 7, 10, or 14 days of treatment. The effects of the CE on wound re-epithelialization; cell proliferation; permeation, using photoacoustic spectroscopy (PAS); and proteins, including vascular endothelial growth factor (VEGF), superoxide dismutase 2 (SOD-2) and cyclooxygenase 2 (COX-2) were evaluated. The TCEG stimulated the migration of keratinocytes at day 4 and proliferation on the following days, with a high concentration of cells in metaphase at 7 days. Type I collagen formed more rapidly in the TCEG. PAS showed that the CE had permeated through the skin. TCEG stimulated VEGF at day 4 and SOD-2 and COX-2 at day 7. The results suggest that the CE promoted the regulation of proteins and helped to accelerate the processes involved in healing, promoting early angiogenesis. This led to an increase in the re-epithelialized surface, with significant mitotic activity. Maturation of collagen fibers was also enhanced, which may affect the resistance of the extracellular matrix. PAS indicated a correlation between the rate of diffusion and biological events during the healing process. The CE from P. pluviosa appears promising as an aid in healing.
Muscle fiber conduction velocity and fractal dimension of EMG during fatiguing contraction of young and elderly active men

Over the past decade, linear and nonlinear surface electromyography (EMG) variables highlighting different components of fatigue have been developed. In this study, we tested fractal dimension (FD) and conduction velocity (CV) rate of changes as descriptors, respectively, of motor unit synchronization and peripheral manifestations of fatigue. Sixteen elderly (69 ± 4 years) and seventeen young (23 ± 2 years) physically active men (almost 3–5 h of physical activity per week) executed one knee extensor contraction at 70% of a maximal voluntary contraction for 30 s. Muscle fiber CV and FD were calculated from the multichannel surface EMG signal recorded from the vastus lateralis and medialis muscles. The main findings were that the two groups showed a similar rate of change of CV, whereas FD rate of change was higher in the young than in the elderly group. The trends were the same for both muscles. CV findings highlighted a non-different extent of peripheral manifestations of fatigue between groups. Nevertheless, FD rate of change was found to be steeper in the elderly than in the young, suggesting a greater increase in motor unit synchronization with ageing. These findings suggest that FD analysis could be used as a complementary variable providing further information on central mechanisms with respect to CV in fatiguing contractions.
Growth of wheat as affected by fresh and composted poultry manure, urea and beneficial microbes

Organic manures can be used to increase crop growth, productivity and sustainability. Organic manures applications without processing have low potential to supply nutrients in short time. In this experiment different treatments were applied as source of nitrogen and 120 kg N ha was desired from each single treatment or combination of treatments. The different treatments were comprised of poultry manure composted (PMC) for various durations i.e. 5, 10, 15 and 20 days. Two composting conditions were used i.e. one sole composted poultry manure and the other was integrated with half nitrogen from urea. Beneficial microbes (BM) were applied in two levels i.e. no BM and 50 L ha. Sole treatment of poultry manure only, machine compost, urea only, a combination of urea and poultry manure in 50:50 ratio and a control treatment for mean comparisons were also used. The results of the experiment indicated that different composting duration significantly affected days to anthesis, leaf area tiller, leaf area index, days to maturity and plant height. Higher values were recorded with compost duration of 15 days except days to anthesis and plant height which were higher with compost duration of 20 days. Moreover addition of compost along with urea in 50:50 ratio increased days to anthesis, leaf area, leaf area index, days to maturity and plant height. Application of beneficial microorganisms at the rate of 50 L ha increased crop growth. The fertilized treatment in comparison with control treatment was found superior in terms of growth. The pit compost in comparison with machine compost performs better and increased growth and yield. It is concluded that compost duration of 15 days when applied in 50:50 ratio with urea increased crop growth and yield and thus recommended for general cultivation of wheat crop.
BW-CAR | SINCOM SYMPOSIUM ON INFORMATION AND COMMUNICATION SYSTEMS

The aim of non-intrusive load monitoring is to determine the individual energy consumption of different devices on the basis of the total energy consumption. The individual energy consumption of a device is measured at a central point without the need of individual measuring instruments on the devices themselves. In this work we present a signal representation frequency invariant transformation of periodic signals (FIT-PS) [1] on high sampled signals. We present a new method for signal separation, decomposition of the signal into individual states and feature extraction. Frequency invariant transformation of periodic signals (FIT-PS) is based on a signal diagram similar to the concept of trajectories [2]–[4] utilizing the periodicity of voltage and current, and their correlation. This approach breaks down the current signal into its individual periods using the voltage as a reference signal for the determination of trigger points. Thereby, the phase information between current and voltage is maintained and is inherently part of the new signal representation. In common approaches with high sample rates several signal forms must be combined to achieve good results. The advantage of this method is that the information contained in the signal is preserved entirely. Hence, this single signal representation is sufficient to create similar or even better results by using high sample rates. The efficiency of the new signal representation and signal separation is demonstrated by the example of an event detection algorithm. For testing the BLUED dataset [5] was used reaching a sensitivity in event detection of 99.45%.
THE ANTECEDENTS AND OUTCOME OF HALAL COSMETIC PRODUCTS : A CASE STUDY IN JAKARTA INDONESIA

A model for halal cosmetics products with the antecedents and outcome was developed and empirically investigated in this paper. The purpose of this paper is to identify the effect of knowledge, religiosity, and social identity on attitude toward halal cosmetic products, and attitude toward halal cosmetic products on the brand to purchase intention for halal cosmetic products. A model for the halal cosmetics products with the antecedents and outcome was developed and empirically investigated for this paper. The theoretical model was tested using structural equation modeling with Partial Least Squares (SEM-PLS). This study used nonprobability sampling with purposive sampling methods and required 200 respondents. The findings of the study show that knowledge factors have strongest effect on the antecedent variables; and attitude toward halal cosmetic products has a direct effect on purchase intention. This study is a preliminary one investigating the consumer perception of halal cosmetic products. In spite of the importance of the halal cosmetic market for both producers and consumers, the existing literature focuses on halal food products, and only a limited number of studies exists about halal cosmetic products.
Supporting Student-Parents: A Qualitative Exploration of the Online Presence of Support at Postsecondary Institutions

Increasing numbers of nontraditional students, including student-parents, are enrolling in postsecondary education. These students are raising dependent children while pursuing a degree and often require specialized support services, such as childcare, flexible course schedules, family housing, and financial assistance. Qualitative document analysis of the online resources at 50 postsecondary institutions’ revealed the presence and absence of student support services at these campuses. An initial analysis of the documents generated five themes regarding support for student-parents: (1) structured support services and offices; (2) family housing options or assistance; (3) specific financial aid options for student-parents; (4) the availability of parenting resources to both employees and students of the institution; and (5) other considerations suggested by the data. The study recorded frequencies of support as appropriate for each theme, which generated implications for practice as well as future research when considering how to better support student-parents on campus.