Miracle-dz/UniFAR-FTUs huggingface dataset:
USING ASTER AND GEOCHEMICAL DATA FOR GOLD EXPLORATION, SAMUT AREA, SOUTH EASTERN DESERT, EGYPT

This study investigates the use of ASTER and geochemical data in the exploration of new gold occurrences in altered granodiorite rocks at Samut area in the Eastern Desert of Egypt. The mapping approach developed and applied in this study integrates image (ASTER) and field data sets to produce a map showing the alteration zones within granitoid rocks in the Samut area. Due to the differences in hydrothermally mineral components as well as intensities and influences of these hydrothermal activities on the surrounding rocks, various alteration processes have occurred within the host granodiorite rock. These alteration processes include sericitization, chloritization, silicification and ferrugination, resulted from the chemical interaction between the host rock minerals and mineral bearing ascending solutions. Each of the alteration processes is characterised by significantly altered minerals, in which the sericite and altered plagioclase minerals characterise the sericitization process. The biotite, muscovite, chlorite and hornblende minerals are related to chloritization. The silicification process is manifested by the quartz veins and fractured quartz grains. As well as the iron oxide (magnetite altered to goethite) minerals are characterize the ferrugination process. The chemical analyses of the unaltered granodiorites country rocks yielded Au content between 0.01 ppm and 1.61 ppm, while in the altered granodiorite, Au content is around 0.02 to 14.79 ppm. The presence of gold in the unaltered and altered granodiorite even in a low percentage, but in huge tonnages gives an importance and makes the study area worthy of gold exploration and possible exploitation and hence international propagation. Samut district is made up of intermediate to acidic metavolcanics intruded by a hornblende granodioritic pluton and cut by acidic dykes and quartz veins and veinlets. The associated hydrothermal activity to the plutonic intrusion led to the formation of promising alteration zones for gold in the granodiorite. The clarity and studying of these alterations represent the core and target of this study.
Design and Development of Virtual Reality Environments for Biomedical and Engineering Applications

Virtual Reality (VR) is one of the areas of knowledge that have taken advantage of the computer technological development and scientific visualization. It has been used in different applications such as engineering, medicine, education, entertainment, astronomy, archaeology and arts. A main issue of VR and computer assisted applications is the design and development of the virtual environment, which comprises the virtual objects. Thus, the process of designing virtual environment requires the modelling of the virtual scene and virtual objects, including their geometry and surface characteristics such as colours, textures, etc.This research work presents a new methodology to develop low-cost and high quality virtual environments and scenarios for biomechanics, biomedical and engineering applications. The proposed methodology is based on open-source software. Four case studies corresponding to two applications in medicine and two applications in engineering are presented. The results show that the virtual environments developed for these applications are realistic and similar to the real environments. When comparing these virtual reality scenarios with pictures of the actual devices, it can be observed that the appearance of the virtual scenarios is very good. In particular the use of textures greatly helps in assessing specific features such as simulation of bone or metal. Thus, the usability of the proposed methodology for developing virtual reality applications in biomedical and engineering is proved. It is important to mention that the quality of the virtual environment will also depend on the 3D modelling skills of the VR designer.Copyright © 2015 by ASME
Exploring Turnover Intentions and Work Engagement: A Mediation-Moderation Approach in the Malaysian Hospitality Industry

In the hospitality industry, staff turnover is a big problem. The aim of this paper is to explain how, using career construction theory (CCT), turnover intentions are linked to work engagement. An analysis of 36 independent star-rated hotels in Peninsular Malaysia finds that the root cause is orientation to happiness (OTH). OTH found a negative association between work engagement and employee attrition intentions in the report. Furthermore, perceived organizational support (POS) was established as a major boundary condition, with lower levels of POS resulting in a poorer mediated relationship. This study’s theoretical and practical results would benefit the hospitality industry
Formation of O2 and CO2 reduction without Sunlight using Weak Energy of Water with pico-sized Particle

They have researched photosynthesis for approx. 250 years. They found the structure of chlorophyll in the 20th century, and photosynthesis has been elucidated as the total system by the Calvin cycle. Hereafter, they discussed the electron transfer in the chlorophyll. Since COP21, carbon-neutral has rapidly been a topic to decrease CO2, and they study even artificial photosynthesis repeatedly. Their researches are solar beam, CO2, and H2O involving plants. The discussion has not developed from there up to today. The chlorophyll receives sunlight leading to an electron transfer, when the manganese cluster dissociates H2O, then makes ATP. The enzyme catches CO2 and forms glucose. This system is the well-known Calvin-Benson cycle. Here is a point that we report, namely, non-sunlight. We may dissociate the hydrogen bonds of water and assume to form the pico-sized particles that help plants absorb water from their roots, and they are easy to get around in stems and leaves, resulting in reaction with CO2. The particles can emit far-infrared and terahertz under no sunlight, where we propose the agriculture factory with sustainable energy sources.
Adaptation of the Behavioural Regulation in Active Commuting to School (BR-ACS) Questionnaire in Portuguese Youth

This study aimed to translate and adapt the psychometric properties of the Behavioural Regulation in Active Commuting to School (BR-ACS) questionnaire to young Portuguese students. This study had two stages: (1) translation and adaptation of the questionnaire; (2) evaluation of the psychometric properties. A sample of 338 participants (212 female, 126 male) aged 11 to 19 years (Mage = 15.6 ± 2.1) from 31 cities and Madeira island participated in this study. The confirmatory factor analysis suggested an acceptable fit to the data for the first-order and third-order measurement models. The composite reliability values ranged from 0.71 (identified regulation) to 0.90 (integrated regulation), demonstrating internal consistency. The AVE values ranged from 0.40 (amotivation) to 0.69 (integrated regulation), demonstrating an acceptable convergent validity for all constructs. The model estimation had an acceptable fit, with values akin to those of the first-order tested model. Finally, the results of the multigroup analysis for the successive restricted models (CFI < 0.010 and RMSEA < 0.015) point out that the null hypothesis of factor invariance between gender cannot be rejected. The psychometric properties demonstrates the suitability of this questionnaire among Portuguese youths aged 11 to 19. This questionnaire will help understand the motivation aspects that underpin active commuting to school and consequently help to increase physical activity among Portuguese adolescents.
B-box containing protein 1 from Malus domestica (MdBBX1) is involved in the abiotic stress response

B-box proteins (BBXs), which act as transcription factors, mainly regulate photomorphogenesis. However, the molecular functions underlying the activity of plant BBXs in response to abiotic stress remain largely unclear. In this investigation, we found that a BBX from Malus domestica (MdBBX1) was involved in the response to various abiotic stresses. The expression of MdBBX1 was significantly upregulated in response to abiotic stresses and abscisic acid (ABA). Recombinant MdBBX1 increased stress tolerance in Escherichia coli cells. In addition, overexpression of MdBBX1 in Arabidopsis decreased sensitivity to exogenous ABA, resulting in a germination rate and root length that were greater and longer, respectively, than those of wild-type (WT) plants. Moreover, the expression of ABI5 was decreased in MdBBX1-overexpressing lines under ABA treatment. After salt and drought treatments, compared with the WT plants, the MdBBX1 transgenic plants displayed enhanced tolerance and had a higher survival rate. Furthermore, under salt stress, increased proline (PRO) contents, decreased levels of malondialdehyde (MDA), increased activity of antioxidant enzymes (superoxide dismutase (SOD), peroxidase (POD), catalase (CAT) and ascorbate peroxidase (APX)) and decreased accumulation of reactive oxygen species (ROS) were observed in the MdBBX1-overexpressing plants. Overall, our results provide evidence that MdBBX1 might play a critical role in the regulation of abiotic stress tolerance by reducing the generation of ROS.
The Role of Genetic Factors in Reading and its Development Across Languages and Writing Systems

ABSTRACT This mini-review attempts to provide a capsule overview of the role of genetic factors in reading and its development across languages and writing systems. The review is conceived and executed with a scoping review approach, synthesizing the methods employed in the existing research rather than producing a summary of evidence to answer a discrete research question. Specifically, major research approaches in the field of quantitative- and molecular-genetic studies of (a)typical reading development are briefly reviewed and interpreted. Current frontiers of the field are described and places where evidence is insufficient to generate explicit statements about indisputable findings are highlighted. Overall, the resulting vector of the review points to the necessity of the relevant empirical work. Based on the available data at this point, it is impossible to comment authoritatively on the role of languages and writing systems as specifiers or modifiers of the genetic machinery underlying the development of reading skills, as a critical mass of relevant research does not currently exist. More relevant studies are needed to provide evidence-based conclusions about this role.
Ultra-wideband Spatio-temporal Channel Sounding with Use of an OFDM Signal in an Indoor Environment

Microwave vector network analyzers (VNAs) have been widely used as ultra wide- band (UWB) channel sounders. However, channel sounders using VNAs have some limitations: there is only one snapshot and incoming waves tend to be strongly correlated due to sounding signals of sine waves. To overcome the above issues, a UWB spatio-temporal channel sounder, employing an orthogonal frequency division multiplexing (OFDM) signal and virtual array an- tenna, was developed along with a proposed technique for estimating time-of-arrival (TOA) and angle-of-arrival (AOA) of UWB OFDM signals. In the prototype sounder, the bandwidth of the OFDM signal was 500MHz (3.25{3.75GHz). The received collinear virtual array antenna con- sisted of 8 elements with spacing of 40mm. The TOAs were calculated by correlating the received waveforms with a transmitting template waveform. The AOAs were derived by extending a mul- tiple signal classiflcation (MUSIC) algorithm and an angular histogram method. Comparisons were carried out between the VNA- and the OFDM-based channel sounders in terms of experi- mental estimation of TOAs and AOAs in an indoor three-path environment. Delay proflles and AOA estimation results agreed reasonably well with ray tracing calculations and the proposed design of the OFDM-based channel sounder was validated.
Risk-averse multi-objective generation dispatch considering transient stability under load model uncertainty

Maintaining transient stability is one essential requirement for power system reliable operations. However, there is usually a conflict between the stability level and the economic objective. This study presents a new generation dispatch model to balance the two concerns. A risk-based criterion is proposed to quantify system transient stability on a probabilistic basis, and a multi-objective programming model is proposed to achieve best trade-off between transient stability requirement and economic operation. In the meantime, the load dynamics have a substantial impact on the transient stability but has not well accounted in the generation dispatch stage. In this study, the dynamic load models and their uncertain variation are taken into account through a strategically selected set of load composition scenarios to approximate the whole uncertainty space. A multi-objective evolutionary algorithm-based hybrid solution process is then developed. The proposed method is verified on the New England 10-machine 39-bus system. Numeric results show that the model can effectively obtain Pareto solutions which are free from instability risk and robust to stochastic load composition variations.
Multistage Deep Transfer Learning for EmIoT-Enabled Human–Computer Interaction

Emotional Internet of Things (EmIoT), which provides Internet of Things (IoT) devices cognitive and socialization capabilities, has been regarded as a future direction to improve users’ experiences. With the development of intelligent techniques, the requirement of EmIoT is not only sensing the users’ emotional states but also providing emotional feedbacks. Human–computer interaction has been studied to achieve speech interaction with IoT devices. The recent advances in neural text-to-speech (TTS) have made “human parity” synthesized speech possible for IoT-enabled human–computer interaction. Furthermore, emotion control can be achieved by using the emotional codes in a unified model, referred to as emotional TTS (or ETTS for short). Such ETTS models have achieved promising emotional expressiveness using large-scale emotion-annotated English data set; however, they are not practical in IoT environments with other mainstream languages, especially for Chinese. In fact, the limited available large-scale emotion-annotated data set is challenging the development of Chinese ETTS. To address that we propose a multistage deep transfer learning scheme to design a high-quality Chinese ETTS system under a small-scale training corpus to achieve EmIoT in Mandarin environments. In this scheme, the pretrained knowledge from the former stages corresponding to a large-scale neutral English and a medium-scale emotional English corpora is transferred to a Mandarin ETTS model. Thereby, the trained model can achieve high-quality emotional speech with limited available emotional corpus, which is able to serve various EmIoT-oriented applications. The experiments have been conducted to demonstrate the effectiveness and superiority of the proposed model as compared to other counterparts in terms of naturalness and emotional expressiveness. We refer readers to visit our demo Webpage1 enjoy the synthesized speech samples.
Disturbance Observer-Based Nonlinear Friction Compensation in Servo Drive System

Solid friction in various machines is one of dominant nonlinearities limiting the control performance of servo drive systems. Nonlinear friction gives tracking errors and undesired stick-slip motion due to stiction (breakaway friction) and/or Stribeck effect. A wide variety of studies have been reported, which formulated nonlinear friction models, identified its parameters, and compensated for the friction. Those compensation schemes can significantly improve the conventional control performance, however, deterioration of the control accuracy is still the problems due to the inaccurate friction model and/or the restricted bandwidth of the compensation control loop.This paper presents the disturbance observer-based compensation for nonlinear friction in servo drive systems to improve the control performance. The proposed scheme uses a new disturbance observer which is designed on the basis of Coulomb friction characteristics. This scheme can realize the precise speed/position control without response delay which is caused by the restricted bandwidth in the conventional compensation scheme. Experimental results and analytical studies show the distinct performance improvement of the proposed scheme, comparing to the conventional compensation schemes.
Structural relationships between safety attachment, experiential co-creation and future experiential intentions in the tourism industry

ABSTRACT This paper aims to explore the relationships between the dimensions of safety attachment, the dimensions of experiential co-creation and future experiential intentions. A convenience sample of 505 tourists who had departed from Hartsfield–Jackson Atlanta International Airport via direct flights to a destination outside the USA during the 2019-nCoV (COVID-19) outbreak was surveyed. The results will assist tourism managers in developing and implementing market-orientated service strategies to increase safety identity, safety dependence, safety affect, safety social bonding, experiential trust, experiential commitment and experiential connection in order to enable tourists to have future intentions to experience the destination during the COVID-19 outbreak. Findings are generalizable only to the tourism industry investigated.
Sunflower genotypes tolerance to charcoal rot (Macrophomina phaseolina (Tassi) Goid.) under the field conditions

Sunflower (Helianthus annuus L.) is one of the most important crops grown in the world, but it can be attacked by more than 30 different pathogens. The areal of Macrophomina phaseolina (Tassi) Goid. , one of the sunflower pathogens nowadays often found in temperate regions, has been spreading over the last few years due to climate change. The most effective eco-friendly method for controlling charcoal rot caused by M. phaseolina is growing resistant sunflower cultivars. Due to that, 24 commercially available hybrids and 70 inbred lines were tested for M. phaseolina tolerance in a two-year trial. Under the field conditions, two different inoculation methods were used - the Unwounded Stem Base Inoculation (USBI) and Toothpick (TP) method. This study identified five highly tolerant hybrids and 12 inbred lines that can be used in breeding programs for improvement of future genotypes. Sunflower genotype screening tests for Macrophomina tolerance indicated that both inoculation methods should be applied together to provide reliable results, and that stem lesion length is a reliable trait for disease severity assessments.
Granularity-Aware Area Prototypical Network With Bimargin Loss for Few Shot Relation Classification

Relation Classification is one of the most important tasks in text mining. Previous methods either require large-scale manually-annotated data or rely on distant supervision approaches which suffer from the long-tail problem. To reduce the expensive manually-annotating cost and solve the long-tail problem, prototypical networks are widely used in few-shot RC tasks. Despite their remarkable performance, current prototypical networks ignore the different granularities of relations, which degrades the classification performance dramatically. Moreover, the optimization of current prototypical networks simply relies on the cross-entropy loss, which cannot consider the intra-relation compactness and the dispersion among relations in a semantic space. It is not robust enough for the current prototypical network in real-world and complicated scenarios. In this paper, we propose an area prototypical network with a granularity-aware measurement, aiming to consider the different granularities of relations. Each relation is represented as an area whose width can reflect the granularity level of relation. Moreover, to improve the robustness, bimargin loss is designed to force area prototypical network to improve the intra-relation compactness and inter-relation dispersion for the feature representation in a semantic space. Extensive experiments on two public datasets are conducted and evaluate the effectiveness of our proposed model.
Genome Signals and Evolution for Fidelity and Regulation of Pre-mRNA Splicing

Stony Brook University Libraries. SBU Graduate School in Biomedical Engineering. Lawrence Martin (Dean of Graduate School), Michael Q. Zhang – Dissertation Advisor Professor, Biomedical Engineering & Cold Spring Harbor Laboratory, Michael Hadjiargyrou – Chairperson of Defense Associate Professor, Biomedical Engineering, Scott Powers, Associate Professor Biomedical Engineering & Cold Spring Harbor Laboratory, John Castle, Merck Research Fellow Rosetta Inpharmatics LLC, a wholly owned subsidiary of Merck & Co., Inc, Adrian R. Krainer, Professor Cold Spring Harbor Laboratory.
Hybrid Scheme for CFO Cancellation in OFDM Systems

Abstract In this paper, we combine maximum likelihood estimation (MLE) technique with improved sinc power (ISP) pulse shaping to cancel inter-carrier interference caused by carrier frequency offset in coded orthogonal frequency division multiplexing (OFDM) systems, thereby achieving an improved bit error rate (BER) performance as compared to the above two schemes. The BER performance of the OFDM system was checked for ISP pulse shaping alone, MLE technique with low pass filtering, and a hybrid scheme of MLE technique with ISP pulse shaping. It has been shown that, at normalized carrier frequency offset of 0.2 and BER of 10−5, the hybrid scheme with convolutional coding could achieve a BER performance improvement of around 1.78 and 4.83 dB, respectively, as compared to MLE technique with low pass filtering and ISP pulse shaping alone.
Design and development of DC high current sensor using Hall-Effect method

This paper report a newly developed high DC current sensor by using a Hall effect method and also the measurement system. The Hall effect sensor receive the magnetic field generated by a current carrying conductor wire. The SS49E (Honeywell) magnetoresistive sensor was employed to sense the magnetic field from the field concentrator. The voltage received from SS49E then converted into digital by using analog to digital converter (ADC-10 bit). The digital data then processed in the microcontroller to be displayed as the value of the electric current in the LCD display. In addition the measurement was interfaced into Personal Computer (PC) using the communication protocols of RS232 which was finally displayed in real-time graphical form on the PC display. The performance test on the range ± 40 Ampere showed that the maximum relative error is 5.26%. It is concluded that the sensors and the measurement system worked properly according to the design with acceptable accuracy.
Advances in Regulatory Strategies of Differentiating Stem Cells towards Keratocytes

Corneal injury is a commonly encountered clinical problem which led to vision loss and impairment that affects millions of people worldwide. Currently, the available treatment in clinical practice is corneal transplantation, which is limited by the accessibility of donors. Corneal tissue engineering appears to be a promising alternative for corneal repair. However, current experimental strategies of corneal tissue engineering are insufficient due to inadequate differentiation of stem cell into keratocytes and thus cannot be applied in clinical practice. In this review, we aim to clarify the role and effectiveness of both biochemical factors, physical regulation, and the combination of both to induce stem cells to differentiate into keratocytes. We will also propose novel perspectives of differentiation strategy that may help to improve the efficiency of corneal tissue engineering.