Miracle-dz/UniFAR-FTUs huggingface dataset:
HDR SMISS

Nowadays, increasing interest in computer graphics leads to higher demand for digital 3D models. It motivates the research in area of automatic 3D reconstruction. We present a system SMISS (Scalable Multifunctional Indoor Scanning System) based on structured light projection for automatic 3D reconstruction in metric space. We address the problem of low dynamic range of similar systems, which leads to incorrect measurements and we propose a novel approach to scan high dynamic range scenes with just a constant increase in scanning time using simple additional hardware. Our designed method uses the dynamic range of digital projector to suppress a scanning scene dynamic range. In result, our setup can be used as a flexible tool for future improvements of structured light scanning systems.
Power, roles and adding value: reflecting on the challenges of bridging across research and action on an international community networking project

The three year EU-funded MAZI research project (www.mazizone.eu) brought together universities, civil society organizations, and neighbourhood groups to design, develop and trial a digital toolkit for supporting local sustainability in four European countries. Funder constraints, partner ambitions and community needs had to be balanced to both adhere to academic research protocols while making a difference in the neighbourhoods where research and action took place. These sometimes conflicting ambitions caused partners to continuously question whose agendas were best being served by the project activities. They had to confront asymmetries of power, capacity, and credibility both within the consortium and within the community settings. Local circumstances changed; partners had to negotiate new, unfamiliar, and changing roles; and guises had to be adopted to progress sometimes conflicting ambitions. In this paper, we report on the challenges encountered in two of the pilot locations, Berlin and London. These two pilots were similar as they consisted at the outset of a university partner previously unconnected to the locality, working with a civil society partner that was deeply embedded in the setting though long-term engagement. In both cases, the pairings sought to work closely together both on the ground and in research tasks. Finding acceptable compromises stimulated considerable self-reflection and required ongoing negotiation. We offer insights on the potentials and pitfalls of civil society activists and academic researchers collaborating within a research framework from the perspectives of both, with the goal of building a bridge of understanding between these two viewpoints.
Context-Aware Placement of Industry 4.0 Applications in Fog Computing Environments

The fourth industrial revolution, widely known as Industry 4.0, is realizable through widespread deployment of Internet of Things (IoT) devices across the industrial ambiance. Due to communication latency and geographical distribution, Cloud-centric IoT models often fail to satisfy the Quality of Service requirements of different IoT applications assisting Industry 4.0 in real time. Therefore, Fog computing focuses on harnessing edge resources to place and execute these applications in the proximity of data sources. Since most of the Fog nodes are heterogeneous, distributed, and resource-constrained, it is challenging to place Industry 4.0-oriented applications (I4OAs) over them ensuring time-optimized service delivery. Diversified data sensing frequency of different industrial IoT devices and their data size further intensify the application placement problem. To address this issue, in this article we propose a context-aware application placement policy for Fog environments. Our policy coordinates the IoT device-level contexts with the capacity of Fog nodes and minimizes the service delivery time of various I4OAs such as image processing and robot navigation applications. It also ensures that the streams of input data flowing toward the placed applications neither congest the network nor increase the computing overhead of host Fog nodes significantly. Performance of the proposed policy is evaluated in both real-world and simulated Fog environments and compared with the existing placement policies. The experiment results show that our policy offers overall 16% improvement in service latency, network relaxation, and computing overhead management compared to other placement policies.
A BRIEF REVIEW ON GINKGO BILOBA L. (MAIDENHAIR TREE) A RARE MULTIPURPOSE MEDICINAL PLANT

Ginkgo biloba, a native of China, was probably a member of the mixed-mesophytic forest community that once covered the hill country. In developing countries a large proportion of the population relied heavily on traditional practitioners and medicinal plants to meet health care needs. Growing interest in the field of Complementary and Alternative medicine places new obligations on the clinicians. To assist in this process, a comprehensive review of Ginkgo biloba, the well studied botanical medicine, was provided. Studies so far indicated the efficacy of Ginkgo biloba in tinnitus, schizophrenia, psychotic organic brain syndrome, vertigo of undetermined origin. Also double blind research showed Ginkgo biloba’s efficacy in conditions including cerebro-vascular insufficiency, memory impairment, Alzheimer’s disease, multi-infarct dementia, resistant depression, peripheral arterial insufficiency, venous insufficiency and asthma was summarized.
First record of Trissolcus basalis (Hymenoptera:

‡ Department of Entomology and Plant Pathology, Auburn University, Auburn, AL, United States of America § Florida State Collection of Arthropods, Gainesville, United States of America | USDA/SEL, Washington, DC, United States of America ¶ United States Department of Agriculture, Agricultural Research Service, Southeastern Fruit & Nut Tree Research Laboratory, Byron, GA, United States of America # Department of Entomology, University of Georgia, Tifton, GA, United States of America ¤ Department of Entomology, University of Georgia, Athens, GA, United States of America « Department of Entomology, University of Georgia, Griffin, GA, United States of America » United States Department of Agriculture, Agricultural Research Service, Crop Protection & Management Research Laboratory, Tifton, GA, United States of America
The sexual assault examination: overview and lessons learned in one program

This is a description of the process used by the Sexual Assault Nurse Clinician (SANC) in Emergency Departments in Minneapolis, Minnesota, after the rape victim's injuries have been treated. The task of the SANC is to evaluate the care of injuries, collect and protect the chain of evidence, and handle other special concerns of the patient such as risk of pregnancy, sexually transmitted diseases, and crisis intervention. The victim is re-examined for injuries and questioned about the degree of force used. The SANC nurse only needs a brief summary of the assault, since the police obtained the detailed sequence of events. Evidence is collected in 3 categories: documentation of the use of force (photos); identification of the assailant (swabs of sperm, blood, hair); and proof that sexual contact occurred (motile sperm, acid phosphatase). The chain of evidence is a rigid protocol involving signed routing sheets and constant visualization of the evidence when it is not under locks. After the SANC nurse evaluates the patient's risk of pregnancy, she is counseled about postcoital contraceptive treatment and back-up termination. The victim is given the option of taking STD treatment, but is not routinely cultured or treated because of changing legal status of such practices. Most women choose immediate treatment because they feel contaminated and do not want another pelvic exam. If the victim comes for treatment after 36 hours, she is only given treatment of her injuries and referral for testing and counseling. In 417 rape cases in Minneapolis in 1990, 193 assailants were processed by the country attorney, 14 went to trail, and 6 of these were found guilty. Even though a small proportion of the evidence collected is ever used in court, it is important, as is the total care given the victim by the SANC nurse. Language: en
Single Camera 3D Human Pose Estimation for Tele-rehabilitation

—The need of using advanced remote devices to promote effective self-management of rehabilitation has rapidly grown in developed countries. The widely spread camera-equipped mobile devices and Internet of Things (IoT) have been expected to deliver professional services by connecting clinician to client for assessment and consultation. This study proposes an IoT-based Tele-Rehabilitation (TR) framework using a single camera to observe the body joints of the client in three- dimensional (3D) space on performing Activities of Daily Living (ADL). Our experiments show that the proposed framework is capable to measure joint and orientation angles of elbow and knee comparable with the measurements using the Kinect. A waterproof camera was used to show that the proposed system can be extended to do the joint measurements during aquatic therapy and fitness pools.
THE ROLE OF GREECE, IRELAND, ITALY, AND SPAIN AS ECONOMIC COMPETITORS ACCORDING TO THE WEF INDEX

The purpose of this paper is to investigate the existence of positive or negative causality among variables that are part of the economic competitiveness methodology used by World Economic Forum (WEF) Index. The analysis is aimed at the data from Greece, Ireland, Italy, and Spain. Results from the VAR method show that, indeed, there is a significant level of causality, and therefore, the variables are rightly used for the construction of the WEF index. JEL: E66, F41, H62, H63
Design of a PV Based Power Supply with a NonInverting Buck-Boost Converter

This paper presents the design of a photovoltaic based power supply using a non-inverting buck-boost converter to charge batteries. The batteries can be used to power a load as back-up power when there is no sunlight. This approach presents a constant output of 48 V charging voltage for the batteries even though the input voltage may vary depending on the amount of solar irradiation falling on the solar panel. Solar charge controllers are important components in such an off-grid system because they can be used to protect the battery bank from overcharging and regulate the charging current. The buck-boost converter is used as a solar charge controller to maximize the charging voltage when the solar irradiation provides less than the required output voltage. The DC-DC converter (buck-boost converter) was modelled using the SIMetrix software to demonstrate the expected output waveforms before building the complete PV power supply.
Interplay of relational governance, task conflict, opportunism and their effect on the performance of projects.

Practitioners and academics have been perplexed over the years by low efficiency and bad performance in construction projects. Several critical factors have been uncovered by previous studies which are governance mechanism, task conflict and opportunism. But an obvious question arises how the mechanism of governance in the presence of conflict can mitigate opportunism. The overarching objective of this study is therefore to create a model to study the effectiveness of these mechanisms of governance in the presence of task conflict. This paper is based on a positivist study philosophy in which a quantitative deductive method was used to collect data from 139 participants. Hypotheses were tested using structural equation modeling (SEM) through SmartPLS3.The research findings show that relational governance affects project efficiency considerably and is helpful in decreasing opportunism and conflict. In addition, there is proof that opportunistic behavior will increase the task conflict among parties but both task conflict and opportunism doesn’t have direct impact on the performance of project
Senescence in Lemna turionifera: the influence of stress on fitness

Senescence is a process of physiological deterioration occurring in a wide spectrum of species and is characterized by decreases in survival and fecundity of organisms as they advance in age. Within the Kingdom Plantae there exists large variation in observed lifespans with some plants possibly being non-senescent due to the indeterminate growth of apical meristems. However, many plants do exhibit senescence, and the phenomenon may be prevalent in species with determinate growth. Trophic interactions may play a significant role in the evolution of senescence in plants communities. Plants are often tolerant of herbivory; utilizing intact meristematic tissue to regenerate lost tissue. Herbivory pressure has the potential to influence senescence in plants if the damage causes an imbalance in resource allocation between somatic repair and reproduction. To test for the effects of gross damage on senescence in plants I conducted an experiment simulating herbivory by applying a mechanically induced excision to an aquatic macrophyte, Lemna turionifera. Focal specimens were selected after reaching the desired birth-order (n = 112 in each of the excision and control treatments; initial total n = 224, final total n = 209), placed in a growth chamber with a 15:9 photoperiod at 25 °C, and given fresh growth medium every four days. Measures used to test for differences between control and excision samples included total lifespan, total offspring produced, daily offspring production, and the intrinsic rate of increase (Ir). Two-sample t-tests revealed no significant differences in selected fitness measures between treatment groups. Continued investigations into the effects of injury on plant fitness could take into
Space Vector vs. Sinusoidal Carrier-Based Pulse Width Modulation for a Seven-Phase Voltage Source Inverter

The paper presents an extensive comparison between two pulse width modulation (PWM) control schemes, namely carrier-based and space vector based PWM for a seven-phase voltage source inverter. Sinusoidal carrier-based PWM and space vector PWM techniques are employed to control multiphase power converters supplying variable speed multiphase motor drive systems. Implicit relationships that exist between the two PWM techniques are comprehensively explored; this paper, reveal the underlying relationship between the two PWM techniques in terms of several parameters such as modulating signals and space voltage vectors, modulating signals and space voltage vector sectors, switching pattern of space vector and type of carrier. Furthermore, sharing of zero vectors among different chosen space vectors is elaborated that leads to the formulation of different types of modulation. Digital implementation of the two modulation schemes is elaborated. Simulation results are validated using experimental investigation.
International Journal of Robotics and Mechatronics

CSIR-National Aerospace Laboratories (CSIR-NAL) is having a major program on development of Micro Air Vehicles (MAV) for civil, surveillance, and defense use. Under this program, MAV components development has been undertaken in various divisions of NAL. Propulsion system for one of the configurations of NAL MAV having fixed wing is battery-driven miniature motor and mini propellers. Efficient propulsion system plays a major role in deciding the endurance, payload, and maneuverability of MAV’s. Design of efficient propellers for these classes of vehicles is a challenging task because of their lower operating Reynolds number as well as conservative power utilization to enhance the endurance. Earlier, 2-bladed, fixed pitch, variable speed, 6-inch diameter propellers with different plan form has been carried out and reported. The present requirement is for 3-bladed, fixed pitch, variable speed mini propellers to augment thrust within the geometrical constraints as envisaged in the design of two-bladed propellers. To meet the mission requirements, design of three-bladed, fixed pitch, variable speed mini propellers were carried out using minimum induced loss method, and Eppler-193 airfoil is used in the design in view of its higher lift to drag ratios at low Reynolds numbers. This resulted in slight penalty on weight as well as power consumption and reduced noise level. Propeller CAD model is generated using SOLID WORKS and used for analysis as well as for fabrication. Performance estimation for this propeller is carried out using blade element momentum theory and ANSYS FLUENT. Fabrication of this propeller is carried out using three methods namely rapid prototype (RPT) using poly carbonate and conventional vacuum casting using poly urethane material and CFRP material with conventional casting using aluminum mold. The overall performance parameters like thrust, propulsive efficiency and motor power are evaluated for CFRP propeller and tested at uninstalled condition. Overall performance of the propellers is evaluated at MAV Aerodynamics Research Tunnel (MART), CSIR-NAL for different wind velocities and propeller rotational speeds in uninstalled conditions. This paper brings out the work carried out on design, development and testing of three-bladed miniature propeller for MAVs and its analysis using computational tools at propulsion division, CSIR-NAL. Keywords—MAV propellers, propeller aerodynamics, blade element momentum theory, propeller testing. NOMENCLATURE = area, m = number of blades = coefficient of drag = coefficient of lift = coefficient of power = coefficient of torque = coefficient of thrust = Prandtl’s circulation correction = propeller diameter, m = elemental thrust, N/m = elemental torque, N.m/m
Effectiveness of Connectionist Q-learning Strategies on Agent Performance in Asteroids

This research proposes a higher-order state extraction algorithm serving as input for neural networks to learn to play the Atari game Asteroids. Asteroids is a 1980's space shooter, and poses a challenging environment due to its continuous and stochastic nature. Learning capabilities of the reinforcement learning algorithms Q-learning, Q-learning combined with a target network, Double Q-learning, QV-learning and QVMAX-learning are compared at a constant difficulty level, both using online learning and experience replay. Q-learning combined with a target network achieved the highest win rate of 0.76, in both the online and experience replay setting. Furthermore, the influence of incremental learning on agent performance is compared to learning at a constant difficulty. Incremental learning did not show a significant improvement in performance. Finally, state modeling in combination with Monte Carlo rollouts is used to learn from predictions about the future. Results show that learning from predictions is ineffective in its current implementation. The agent effectively learns to play the game Asteroids using the higher-order state extraction algorithm in combination with the described reinforcement learning algorithms.
Detecting context abusiveness using hierarchical deep learning

Abusive text is a serious problem in social media and causes many issues among users as the number of users and the content volume increase. There are several attempts for detecting or preventing abusive text effectively. One simple yet effective approach is to use an abusive lexicon and determine the existence of an abusive word in text. This approach works well even when an abusive word is obfuscated. On the other hand, it is still a challenging problem to determine abusiveness in a text having no explicit abusive words. Especially, it is hard to identify sarcasm or offensiveness in context without any abusive words. We tackle this problem using an ensemble deep learning model. Our model consists of two parts of extracting local features and global features, which are crucial for identifying implicit abusiveness in context level. We evaluate our model using three benchmark data. Our model outperforms all the previous models for detecting abusiveness in a text data without abusive words. Furthermore, we combine our model and an abusive lexicon method. The experimental results show that our model has at least 4% better performance compared with the previous approaches for identifying text abusiveness in case of with/without abusive words.
Feature Extraction Method for Hydraulic Pump Fault Signal Based on Improved Empirical Wavelet Transform

There are many interference components in Fourier amplitude spectrum of a contaminated fault signal, and thus the segment obtained based on the spectrum can lead to serious over-decomposition of empirical wavelet transform (EWT). Aiming to resolve the above problems, a novel method named improved empirical wavelet transform (IEWT) is proposed. Because the power spectrum is less sensitive to the contaminated interference and manifests the presence of fault feature information, IEWT replaces the Fourier amplitude spectrum of EWT with power spectrum in segment acquirement, and threshold processing is also introduced to eliminate the bad influence on the acquirement, and thus the best decomposition result of IEWT can be obtained based on feature energy ratio (FER). The loose slipper fault signal of hydraulic pump is tested and verified. The result demonstrates that the proposed method is superior and can extract the fault feature information accurately.
Surface Chemical Structures of CoO

−An earlier sample of 5% CoO x /TiO2 used for the wet oxidation of TCE at 310 K for ca. 6 h has been characterized with a fresh catalyst via XRD and XPS measurements. The binding energy for Co 2p3/2 of the fresh sample appeared at 781.3 eV, which was very similar to the chemical states of CoTiO x such as Co2TiO4 and CoTiO3, whereas the spent catalyst indicated a 780.3-eV main peak for Co 2p3/2 with a satellite structure at a higher energy region. This binding energy was almost equal to that of Co3O4 among reference Co compounds used. The phase structure of Co3O4 was revealed upon XRD measurements for all the catalyst samples. Based on these XPS and XRD results, a surface chemical structure of CoO x species existing with the fresh catalyst can be proposed to be predominantly Co3O4 encapsulated completely by very thin filmlike CoTiO x consisting of Co2TiO4 and/or CoTiO3, with a tiny amount of Co3O4 particles covered partially by such cobalt titanates which may be responsible to the initial catalytic activity. Those CoTiO x overlayers on Co3O4 particles may be readily removed into the wet media within 1 h at 310 K based on our earlier study, thereby giving rapid increase in the catalytic activity for that period.
Hierarchy of calibrated global models reveals improved distributions and fluxes of biogeochemical tracers in models with explicit representation of iron

Iron is represented in biogeochemical ocean models by a variety of structurally different approaches employing generally poorly constrained empirical parameterizations. Increasing the structural complexity of iron modules also increases computational costs and introduces additional uncertainties, with as yet unclear benefits. In order to demonstrate the benefits of explicitly representing iron, we calibrate a hierarchy of iron modules and evaluate the remaining model-data misfit. The first module includes a complex iron cycle with major processes resolved explicitly, the second module applies iron limitation in primary production using prescribed monthly iron concentration fields, and the third module does not explicitly include iron effects at all. All three modules are embedded into the same circulation model. Models are calibrated against global data sets of NO3, PO4 and O2 applying a state-of-the-art multi-variable constraint parameter optimization. The model with fully resolved iron cycle is marginally (up to 4.8%) better at representing global distributions of NO3, PO4 and O2 compared to models with implicit or absent parameterizations of iron. We also found a slow down of global surface nutrient cycling by about 30% and a shift of productivity from the tropics to temperate regions for the explicit iron module. The explicit iron model also reduces the otherwise overestimated volume of suboxic waters, yielding results closer to observations.