Miracle-dz/UniFAR-FTUs huggingface dataset:
Rapid three-dimensional chromoscan system of body surface based on digital fringe projection

This paper proposes a rapid body scanning system that uses optical digital fringe projection method. Twelve cameras and four digital projectors are placed around the human body from four different directions, so that the body surface threedimensional( 3D) point cloud data can be scanned in 5~8 seconds. It can overcome many difficulties in a traditional measurement method, such as laser scanning causes damage to human eye and low splicing accuracy using structured white light scanning system. First, an accurate calibration method based on close-range photogrammetry, is proposed and verified for calibrating the twelve cameras and the four digital projectors simultaneously, where a 1m×2m plate as calibration target with feature points pasted on its two-sides is used. An experiment indicates that the proposed calibration method, with a re-projection error less than 0.05pixels, has a considerable accuracy. The whole 3D body surface color point cloud data can be measured without splice different views of point cloud, because of the high accuracy calibration results. Then, in order to measure the whole body point cloud data with high accuracy, a combination of single and stereo camera measuring method, based on digital fringe projection, has presented to calculating 3D point cloud data. At last, a novel body chromoscan system is developed and a human body 3D digital model was scanned, by which a physical body model was manufactured using 3D printing technology.
Selection, Formulation, and Field Evaluation of Bacillus amyloliquefaciens PMB01 for Its Application to Manage Tomato Bacterial Wilt Disease

Bacterial wilt caused by the soil-borne pathogen Ralstonia solanacearum is one of the most devastating diseases in solanaceous plants. No agrochemicals are available to manage bacterial wilt effectively. A Bacillus amyloliquefaciens strain designated PMB01 was recovered from the cabbage rhizosphere and was found to be capable of inhibiting the growth of R. solanacearum. The PMB01 strain was highly resistant to extreme pH, heat, high salt salinity, and various fungicides. In contrast, PMB01 was sensitive to copper-based compounds, streptomycin, and tetracycline. The efficacy of the PMB01 strain in suppressing R. solanacearum and bacterial wilt in tomatoes was significantly improved when the culture medium was supplemented with 1% (w/v) soybean meal. PMB01 was in a 500-liter tank for the pilot production, and the resultant broth could effectively reduce the severity of tomato bacterial wilt in greenhouse trials. The PMB01 fermentation broth was mixed with 10% corn starch and 30% maltodextrin to make a wettable powder (WP). PMB01 could survive in the wettable powder for more than two years without losing its antagonistic activity. In ten field trials, tomato plants treated with 50, 100, or 200-fold dilutions of PMB01 WP reduced bacterial wilt severity by more than 67% compared to the mock (water control) treatment. This work revealed that the effectiveness of the rhizobacterium PMB01 to antagonize R. solanacearum was greatly improved when the culture medium was supplemented with 1% (w/v) soybean meal, indicating that PMB01 is an ideal bio-agent candidate. A durable format suitable for storage was also developed. Similar concepts may be applied to other bio-agent candidates to improve their effectiveness in disease management.
Ferric Ions Crosslinked Epoxidized Natural Rubber Filled with Carbon Nanotubes and Conductive Carbon Black Hybrid Fillers

Natural rubber with 50 mol % epoxidation (ENR-50) was filled with carbon nanotubes (CNTs) and conductive carbon black (CCB) hybrid fillers with various CCB loadings of 2.5, 5.0, 7.0, 10.0 and 15.0 phr, and the compounds were mixed with ferric ion (Fe3+) as a crosslinking agent. The ENRs filled exclusively with CNTs, and CNT–CCB hybrid fillers exhibited typical curing curves at different CCB loadings, i.e., increasing torque with time and thus crosslinked networks. Furthermore, the incorporation of CNT–CCB hybrid fillers and increasing CCB loadings caused an enhancement of tensile properties (modulus and tensile strength) and crosslink densities, which are indicated by the increasing torque difference and the crosslink densities. The crosslink densities are determined by swelling and temperature scanning stress relaxation (TSSR). Increasing CCB loadings also caused a significant improvement in bound rubber content, filler–rubber interactions, thermal resistance, glass transition temperature (Tg) and electrical conductivity. A combination of 7 phr CNT and CCB with loading higher than 2.5 phr gave superior properties to ENR vulcanizates. Furthermore, the secondary CCB filler contributes to the improvement of CNT dispersion in the ENR matrix by networking the CNT capsules and forming CNT–CCB–CNT pathways and thus strong CNT–CCB networks, indicating the improvement in the tensile properties, bound rubber content and dynamic properties of the ENR composites. Moreover, higher electrical conductivity with a comparatively low percolation threshold of the hybrid composites was found as compared to the ENR filled with CNTs without CCB composite. The superior mechanical and other properties are due to the finer dispersion and even distribution of CNT–CCB hybrid fillers in the ENR matrix.
Role of Temperature and Exposure Time for Controlled and Accelerated Synthesis of Graphene Oxide Using Tour Method

: Synthesis of graphene oxide (GO) with the Tour method has been studied. In this procedure, phosphoric acid was mixed with sulfuric acid in the ratio of 1:9, and then potassium permanganate and graphite with the ratio of 6:1 was added in an ice bath at the variation of oxidation times of 1, 7 and 24 h and temperatures of 40, 50 and 60 °C. The GOs were characterized by UV–Visible spectroscopy, Fourier Transform InfraRed (FT-IR) spectroscopy, X-ray Diffraction (XRD), Scanning Electron Microscopy-Energy Dispersive X-Ray (SEM-EDX), and Transmission Electron Microscopy (TEM). The results show that the GO oxidized at 40 °C for 7 h (GO-7-40) has been successfully formed indicating that GO-7-40 is the most efficient GO. The GO-7-40 is characterized by a peak at 2θ = 10.89° in the XRD diffractogram, resulting calculation of the average distance between graphene layer (d) of 0.81 nm. The average number of graphene layers (n) is 4, the oxidation level (C/O) is 1.50 according to EDX data, λ max at 226 nm attributes to π→π* transitions of C=C bond in UV-Vis spectrum, and the functional groups such as O-H, C=C, C-OH, and C-OC are observed in FT-IR spectrum.
Development of Aerial Interface by Integrating Omnidirectional Aerial Display, Motion Tracking, and Virtual Reality Space Construction

By combining an aerial display, user tracking system, and virtual reality (VR) space, we realized an aerial interface for providing both an immersive user experience and real-time communication with people outside the device. We developed a simple application for detecting user contact and changing the color of an object to measure the latency of our aerial interface system.
Centroid model applied for energy scenarios in regions with limited resources

The necessity of energy renewal sustained by the use of clean and renewable sources is a worldwide reality, the current efforts that direct these natural resources, increasingly linked to the growth of global energy demand, have a direct impact on the environment. This energy production also has a relevant contribution to the economy and, consequently, to the quality of life of the people present in these production spaces, especially in regions with high levels of social fragility, increasingly present due to the pandemic scenario caused by COVID-19, in this sense, considering the mapping of several economic and social indicators, the study seeks to meet the need to increase energy production in regions with great natural potential but low socio-economic development through a mathematical model based on centroids, identifying optimal location as a parameter for the implementation of renewable power plants in the State of Bahia, aiming to broaden the discussions on the social impacts of these investments and that dialogue with a reality present in several countries around the world.
Rapid Simultaneous Determination of Three Synthetic Cannabinoids in Urine and Plasma of Rats Using Ultra-High Performance Liquid Chromatography Tandem Mass Spectrometry

Synthetic cannabinoids, a class of psychoactive compounds, are controlled as new psychoactive substances (NPSs) identified by the early warning system (EWS) of the European Monitoring Centre for Drugs and Drug Addiction (EMCDDA). At present, several new synthetic cannabinoids have appeared in the illegal drug market, including 4-methylnaphthalen-1-yl-(1-pentylindol-3-yl) methanone (JWH-122), methyl (1-(5-fluoropentyl)-1H-indazole-3-carbonyl)-L-valinate (5F-AMB), and methyl 2-(1-(4-fluorobenzyl)-1Hindazole-3-carboxamido)-3-methylbutanoate (AMB-FUBINACA). A convenient, rapid, and highly sensitive analytical method was developed to determine three synthetic cannabinoids in rat plasma and urine. The liquid chromatography tandem mass spectrometry (LC-MS/MS) method was optimized and validated to analyze the three synthetic cannabinoids in rat plasma and urine. The method identified intra-assay precision (1.3–9.0% and 2.8–6.7%), inter-assay precision (3.0–8.6% and 3.9–8.8%), limits of detection (0.003–0.004 ng/mL and 0.00125–0.002 ng/mL) and quantification (0.012–0.016 ng/mL and 0.003–0.005 ng/mL), recovery (95.4–106.8% and 92.0–106.8%) for rat plasma and urine, and the matrix effect (93.4–118.0%) for rat urine, and the correlation coefficients were above 0.99 in the linear range. The established LC-MS/MS method was successfully used to simultaneously detect the JWH-122 and 5F-AMB in rat plasma and JWH-122, 5F-AMB, and AMB-FUBINACA in rat urine. The present study provides methodological support for internal exposure assessment of three synthetic cannabinoids and promotes the quantitative analysis and technical supervision of synthetic cannabinoids.
Can a negative religious causal attribution of mental illness affect the phenomenon of public stigma?

ABSTRACT This study assessed, through an exploratory approach, how religion-based negative causal attributions of mental illness may be associated to stigmatising attitudes and behaviours that contribute to public stigma in an Italian convenience sample. All participants (N = 311; average age = 33 years, 38.6% male) completed a set of three questionnaires: Religious Beliefs and Mental Illness Stigma Scale, the Attribution Questionnaire 27 and the Mental Health Knowledge Schedule. The study found support for two specific models. The Responsibility model involved four key predictors: participant age, the influence of religious beliefs in everyday choices, religious beliefs about the connection between morality/sin and mental illness and having participated in seminars about mental illness stigma. The Dangerousness model involved three exogenous variables: participating in mental illness stigma seminars, religious beliefs about morality/sin and mental illness, and participant age. This study allows the identification of variables that seem to activate or attenuate the models of “Personal Responsibility” and “Dangerousness”.
Materials Perspectives of Integrated Plasmonic Biosensors

With the growing need for portable, compact, low-cost, and efficient biosensors, plasmonic materials hold the promise to meet this need owing to their label-free sensitivity and deep light–matter interaction that can go beyond the diffraction limit of light. In this review, we shed light on the main physical aspects of plasmonic interactions, highlight mainstream and future plasmonic materials including their merits and shortcomings, describe the backbone substrates for building plasmonic biosensors, and conclude with a brief discussion of the factors affecting plasmonic biosensing mechanisms. To do so, we first observe that 2D materials such as graphene and transition metal dichalcogenides play a major role in enhancing the sensitivity of nanoparticle-based plasmonic biosensors. Then, we identify that titanium nitride is a promising candidate for integrated applications with performance comparable to that of gold. Our study highlights the emerging role of polymer substrates in the design of future wearable and point-of-care devices. Finally, we summarize some technical and economic challenges that should be addressed for the mass adoption of plasmonic biosensors. We believe this review will be a guide in advancing the implementation of plasmonics-based integrated biosensors.
Quantum theory of a nematic Fermi fluid

We develop a microscopic theory of the electronic nematic phase proximate to an isotropic Fermi liquid in both two and three dimensions. Explicit expressions are obtained for the small amplitude collective excitations in the ordered state; remarkably, the nematic Goldstone mode (the director wave) is overdamped except along special directions dictated by symmetry. At the quantum critical point we find a dynamical exponent of $z=3,$ implying stability of the Gaussian fixed point. The leading perturbative effect of the overdamped Goldstone modes leads to a breakdown of Fermi-liquid theory in the nematic phase and to strongly angle-dependent electronic self energies around the Fermi surface. Other metallic liquid-crystal phases, e.g., a quantum hexatic, behave analogously.
Posttraumatic Growth and Trauma from Natural Disaster in Children and Adolescents: - A Systematic Literature Review about Related Factors

ABSTRACT Although children and adolescents often experience negative sequelae in the face of even a single adverse childhood event, they may also perceive several positive changes, which reveal posttraumatic growth (PTG). This literature review aims to clarify the definition of posttraumatic growth, associated factors, and application contexts based on the analysis of empirical data. A systematic review of the literature was conducted using different search engines like PsychINFO, PubMed, etc. Articles were screened and assessed for inclusion criteria and methodological quality. Initially, 42 articles were identified and evaluated in the preliminary search using the identified keywords. Of those retrieved, 21 met the criteria and were included in this study. This review identified several risk factors for developing PTG in children and adolescents. This review makes a valuable contribution to mental health care services in developing strategies for children and adolescents to manage traumatic stress from natural disasters. Supplemental data for this article, including all references, is available online at [link].
A Network Traffic Prediction Method for AIOps Based on TDA and Attention GRU

Fault early warning is a challenge in the field of operation and maintenance. Considering the improvement of accuracy and real-time standards, as well as the explosive growth of operation and maintenance data, traditional manual experience and static threshold can no longer meet the production requirements. This research fully digs into the difficulties in fault early warning and provides targeted solutions in several aspects, such as difficulty in feature extraction, insufficient prediction accuracy, and difficulty in determining alarm threshold. The TCAG model proposed in this paper creatively combines the spatiotemporal characteristics and topological characteristics of specific time series data to apply to time series prediction and gives the recommended dynamic threshold interval for fault early warning according to the prediction value. A data comparison experiment of a core router of Ningxia Electric Power Co., Ltd. shows that the combination of topological data analysis (TDA) and convolutional neural network (CNN) enables the TCAG model to obtain superior feature extraction capability, and the support of the attention mechanism improves the prediction accuracy of the TCAG model compared to the benchmark models.
Strategies for improving the stability of polymer solar cells

Organic solar cells (OSCs) have received much attention due to its low cost and lightweight. Many researchers have been down to improve its efficiency, which has recently increased to about 20%. However, the stability of OSCs is still hard to control since different organic materials present various properties. Therefore, the development of stability is one of the most significant directions to promote the commercialization of OSCs. In this paper, recent research on the stability of OSCs is reviewed to introduce the mechanism of degradation. Based on the cause of degradation, the strategies to improve the stability are concluded from the perspective of humidity, temperature and light.
Adaptive minimax estimation in classes of smooth functions

In this thesis we study adaptive methods of estimation for two particular types of statistical problems: regression and density estimation. For all these problems the classes of probabilities are parameterized by real-valued functions. In each model, the underlying function is assumed to belong to some class of smooth functions. In practice the `true' smoothness of the function is unknown and so the actual class is also unknown. We study different regression problems with fixed discrete designs: regression on the real line and regression on a bounded interval. Formally, the distinction here lies just in the definition of the underlying functional classes. The construction of optimal adaptive procedures however is quite different in these cases. This is underlined by the essential difference between these two models; namely, in the case of regression models on bounded observation intervals, the presence of the boundary -- the so called boundary effect -- has to be incorporated in the study of optimal statistical procedures. For each of the three problems: regression on the real line, regression on bounded intervals and density estimation, we introduce corresponding scales of functional classes for which exact -- up to constants -- rates of convergence are obtained, under the classical minimax non-parametric framework, i.e. in the case when the classes are known. We proceed then by constructing adaptive estimators and prove them to be asymptotically optimal, for the corresponding functional scales.
A real-time privacy-preserving scheme based on grouping queries for continuous location-based services

Then, we group these virtual locations and the query location of the user into several queries. Simultaneously, we send these grouping queries to the LBS server. Following the steps outlined above, grouping queries can be used to conceal the true query. Moreover, the results of security analyses and performance evaluations show that the proposed scheme is effective and secure.
Reality Monitoring and Metamemory in Twins and Friends

The current study examined source memory/reality monitoring ability and metamemory accuracy in same-sex twins (n = 60) versus friends (n = 49). Dyads were provided a series of actions and imaginings followed by a reality monitoring and metamemory test that included both reality monitoring questions and appraisals of the likelihood of having made a memory error. There were no significant differences between twins and friends on the number of correct performed action items recalled, but twins were more likely than were friends to confuse whether they or their co-twin was the subject of the imaginings. Friends were more apt than twins to accurately appraise the likelihood of having made a memory error. Implications for twins as eyewitnesses are discussed.
Determining the main factors impacting the differences between soil and air temperatures over China

Knowledge of the difference between soil and air temperatures (ΔT) is helpful to improve our understanding on the land‐atmosphere thermal interactions and temperature‐dependent soil processes. Based on 272 stations across China, this study investigated the spatiotemporal variations of the annual and seasonal ΔT (difference between soil temperature at a depth of 0.4 m and air temperature) from 1981 to 2014, and quantified the relative contributions of multiple environmental variables (snow cover, precipitation, vegetation, soil moisture, and solar radiation) to ΔT variation for the first time. Air temperature primarily controls soil temperature dynamics, but the asynchronous trends of soil and air temperatures may lead to the complexity of the land‐atmosphere relationship. Almost no apparent trends in ΔT were detected for the entire China (except in summer), but the spatial heterogeneity of trends was evident. Snow cover conditions greatly dominated the ΔT dynamics both annually and seasonally (except in summer). The relative contribution of snow cover duration to ΔT variation was significantly greater than that of mean snow depth for the entire China, but the regional differences in the contributions of the two variables were noticeable at different seasons. The greening of vegetation closely associated with the ΔT variation in annual, autumn and winter, and soil moisture exerted a great influence on summer ΔT, associated with sunshine duration (a proxy for surface solar radiation). The amount of precipitation made a slight impact on ΔT at either seasonal or annual scales.
The Analysis of the EDGE Certification System on Residential Complexes to Improve Sustainability and Affordability

In this paper, the characteristics of the Excellence in Design for Greater Efficiencies (EDGE) green building certification system in terms of the scope of certification, and environmental and social strategies focused on 6024 units in the 17 EDGE-certified residential buildings in South Africa was investigated. This research analyzed the efficiency of energy, water, embodied energy in materials, and annual CO2 emissions and their contribution to solving housing issues in the given context. This research revealed that the design of EDGE-certified buildings focuses on the “efficiency first” approach and reduced energy and water demand more than on-site energy production. In energy-saving strategies, energy-saving solutions are three times (69.2%) higher than energy-generating solutions (23.1%). The results on resource savings showed that, on average, embodied energy in materials (54%) is the most reduced resource, followed by water (31%) and energy (29.7%). The statistical analysis indicated that there is no statistically significant correlation between energy, water, embodied energy in materials, and CO2 savings with floor areas of the buildings. In addition, this research highlighted how EDGE certification has positively contributed to solving South Africa’s resource shortage and affordable housing scarcity problems.
Design of High-Frequency CC/CV Output Load-Independent WPT System

This paper presents a high-frequency constant current (CC) and constant voltage (CV) output load-independent wireless power transfer (WPT) system. A single switch component on the rectifier changes the CC and CV modes while maintaining zero-voltage switching (ZVS) operation. The proposed circuit eliminates the need for wireless communication from a receiver to a transmitter against load variations. Therefore, the proposed circuit contributes to reducing cost, simplifying systems, and downsizing circuits. The circuit experiments were conducted to verify the effectiveness of the proposed circuits. The obtained results validated the design approach.