Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison Topologies of Resonant Tank from Class-C Wireless Power Transfer

In this paper shows modified circuit of class-c amplifier as transmitter part and comparison of four resonant tank topologies as state of the art. The circuit design and power efficiency calculation using LTspice simulation software. The transmitter circuit is consist of 5 volt as input voltage, class-c amplifier, modified circuit LTC6992 as a gate drive n-mosfet and resonant tank. On the other hand, the receiver circuit consist of resonant tank, full wave rectifier with diode schottky which is a high efficiency diode and resistor variable as load which the value changed from 1 to $\mathbf{2, k}\Omega$. The result shows resonant tank parallel in transmitter and series in receiver has the highest power efficiency and output voltage compared to the other topology with value 32.74% when resistance around $\mathbf{63}, \Omega$ and coupling coefficient 0.99. In addition the circuit design has resonant frequency transmitter and receiver in 250 kHz which included in power matters alliance regulation and broadband wireless forum Japan guidelines.
Evaluating the optimal radiation dose for definitive chemoradiotherapy for esophageal squamous cell carcinoma

Abstract The optimal radiation dose for definitive chemoradiotherapy in inoperable esophageal squamous cell carcinoma (ESCC) has been long debated. In this study, we evaluated the effect of doses greater than the conventional radiation dose (50.4 Gy) on tumor control, tumor response, overall survival (OS), and disease-free survival (DFS). The database of patients diagnosed with inoperable ESCC from 2007 to 2015 was obtained from the cancer registry of Chi-Mei Medical Center. All categorical variables were compared using Chi-squared test. The risk of OS and DFS were estimated using Cox proportional hazards regression, and Kaplan–Meier plots presented the trend of OS and DFS with log-rank tests used to compare differences. All significance levels were set at P < . 05. A total of 84 patients were retrospectively analyzed, with 42 (50%) receiving >50.4 Gy and 42 (50%) receiving ⩽50.4 Gy (50%) concurrently with chemotherapy. Univariate and multivariate analysis revealed no significant differences between higher dose and conventional dose in OS (P = .21) and DFS (P = .26). Further dose analysis of <50, 50 to 50.4, 51 to 60, and >60 Gy showed no significant differences in OS or DFS. Higher doses conveyed no significant benefit on the failure pattern, either local regional failure or distant failure (P = .42). Major prognostic factors associated with better OS on multivariate analysis were stages I and II patients (P = .03) and radiation technique using arc therapy (P = .04). No acute toxicity of grade III or higher was recorded. The results of our study show that providing higher than conventional radiation doses concurrent with chemotherapy for inoperable ESCC does not impact OS or DSF, nor does it improve locoregional failure or distant failure. Although tumor response might be improved by radiation doses >50.4 Gy, the impact on OS and DFS remain to be studied.
Assessing Non-Visual SSL Certificates with Desktop and Mobile Screen Readers

Effective SSL warnings can point out network attacks or potential phishing sites. Much focus has been placed on tweaking text, colours, and symbols to improve users' comprehension and adhesion. These optimized visualizations do not necessarily aid people with visual disabilities who hear warnings rather than see them. To assess the non-visual aspects of these security warnings, we conducted an expert evaluation of Google Chrome and Mozilla Firefox's SSL certificate dialogues with JAWS and Apple VoiceOver screen readers. Our findings suggest that warnings are mostly unreadable with assistive technology and, when accessible, do not effectively describe threat sources, at-risk data, or false positives. Future work will explore the effectiveness of potential non-visual redesigns through usability studies with visually impaired screen reader users.
Robust and Safe Control of a Knee Joint Orthosis

This paper concerns the control of a knee joint orthosis for rehabilitation and assistive purpose. The dynamics of shank-orthosis system can be represented as a second order nonlinear model which takes viscous, inertial and gravitational properties into consideration and the human effort is considered as an external torque. In this paper, an adaptive proxy-based sliding mode control (APSMC) is proposed to guarantee an accurate and robust tracking performance of shank-orthosis system. The main advantages of this control law are 1) online parameters regulation which ensures a better tracking performance and robustness with respect to parameter uncertainties and external disturbance. 2) the safety of the robot is guaranteed in the presence of a large tracking error which results from the abnormal operation. The effectiveness of the APSMC is verified by comparison with three control methods, PID control, adaptive PID control and traditional proxy-based sliding mode control, in the real-time experiments using knee orthosis with two healthy subjects. The experiment results show that APSMC improves tracking accuracy and robustness. Last but not least, the intrinsic safety is guaranteed by APSMC.
Relapsed subcutaneous panniculitis-like T cell lymphoma evaluated by FDG PET/CT

Rationale: Subcutaneous panniculitis-like T cell lymphoma (SPTCL) is a rare primary cutaneous T cell lymphomas expressing &agr;/&bgr; T cell receptors that preferentially involves subcutis, and few reports have investigated the diagnosis of suspicious relapsed SPTCL using 18F-fluoro-2-deoxy-D-glucose (18F-FDG) positron emission tomography/computed tomography (PET/CT). Patient concerns: A 15-year-old woman complaining of a growing painless subcutaneous mass on perinaeum recurred 2 months ago, suggestive of suspicious relapsed SPTCL, underwent FDG PET/CT for diagnosis and treatment follow-up. Diagnosis: Based on the feature of FDG PET/CT images which revealed multiple increased FDG-avid subcutaneous adipose tissue lesions on the left upper arm, the left chest and perinaeum, involvement of bilateral inguinal lymph nodes, and the effective chemotherapy, she was diagnosed with relapsed SPTCL. Interventions and Outcomes: Fortunately, the patient's skin lesions subsided gradually after 3 cycles of cyclophosphamide, doxorubicin, vincristine, and prednisolone (CHOP) regimen. Besides, complete remission was observed on interim-FDG PET/CT after 3 cycles of CHOP treatment. Lessons: FDG PET/CT can clarify the diagnosis in suspicious relapsed SPTCL, avoiding performing skin biopsy again.
Visibility Graph Feature Model of Vibration Signals: A Novel Bearing Fault Diagnosis Approach

Reliable fault diagnosis of rolling bearings is an important issue for the normal operation of many rotating machines. Information about the structure dynamics is always hidden in the vibration response of the bearings, and it is often very difficult to extract them correctly due to the nonlinear/chaotic nature of the vibration signal. This paper proposes a new feature extraction model of vibration signals for bearing fault diagnosis by employing a recently-developed concept in graph theory, the visibility graph (VG). The VG approach is used to convert the vibration signals into a binary matrix. We extract 15 VG features from the binary matrix by using the network analysis and image processing methods. The three global VG features are proposed based on the complex network theory to describe the global characteristics of the binary matrix. The 12 local VG features are proposed based on the texture analysis method of images, Gaussian Markov random fields, to describe the local characteristics of the binary matrix. The feature selection algorithm is applied to select the VG feature subsets with the best performance. Experimental results are shown for the Case Western Reserve University Bearing Data. The efficiency of the visibility graph feature model is verified by the higher diagnosis accuracy compared to the statistical and wavelet package feature model. The VG features can be used to recognize the fault of rolling bearings under variable working conditions.
Enterprise Architecture 4.0 – A Vision, an Approach and Software Tool Support

Industry 4.0 has begun to shape the way organizations operate by emphasizing the need for a duality between physical machines and sensors, and the (big) data they generate, exchange and use. Manufacturing is one of several industries which is expected to be impacted by this technological revolution. Increasing the information flows and integration of systems within organizations, and along the supply chain is considered one of the main challenges that needs to be addressed by these organizations. One approach for addressing this challenge is to investigate how this abundance of (big) operational data can be used in combination with IT-driven design approaches, such as Enterprise Architecture. Therefore, in this paper we propose our vision for Enterprise Architecture 4.0, i.e. an extended Enterprise Architecture approach for the context of Industry 4.0, and we give an account of our (work-in-progress) efforts to design a model management and analytics software platform supporting this vision. The usage of the software tool is exemplified with the help of a case study with an organization that develops IT and automation systems for the husbandry sector.
Managing Product Lines Variability in Rich Internet Applications

Rich Internet Applications refers to Web applications resembling desktop solutions with sophisticated user interactions, client-side processing, and asynchronous communications. Rich Internet applications have been evolved from traditional multi-page Web applications to single page applications which handle users' interactions without the need of full-refresh at each interaction. Although many techniques, methodologies, and technologies have been proposed in the rich Internet applications literature, the need for managing variability has not yet been conveniently addressed in this domain. According to software product lines research and practice, handling variability and commonality plays an important role in decreasing the development time and improving the quality of nal products. To this end, in this paper, we aim at employing the variability management techniques in the domain of rich Internet applications. We propose a variability modeling technique based on well-known feature modeling approach and provide a method for annotating rich Internet applications with variability and deriving final application based the given con guration. The proposed method is implemented in a tool named Varion which can be used along with existing rich Internet application tools and approaches. We applied the proposed approach on Angular, a well-known Model-View-Controller framework for developing rich Internet applications.
Contact-less Measurement by Using Glide-symmetric Holes on Flanges

We present a cost-effective solution for contact-less measurement of waveguiding structures at high frequencies. Drilling glide-symmetric holey EBG (electromagnetic band gap) on the flanges, the leakage caused by undesired air-gaps, by the result of human mistakes or instrumental errors, between the flanges can be minimized considerably and contact-less measurement becomes possible.
SAR-Based Indoor Localization of UHF-RFID Tags via Mobile Robot

This paper presents a localization method exploiting a mobile robot equipped with an Ultra High Frequency Radio Frequency IDentification (UHF-RFID) reader to locate stationary tags in warehouse scenarios. The measurement method is based on the Synthetic Aperture Radar (SAR) approach and the robot trajectory knowledge is achieved through a calibrated vision-based system suitable for indoor environments. The technique capability is demonstrated through an experimental analysis employing commercial UHF-RFID hardware and a wheeled robot. Localization accuracy is evaluated on the field by using a calibrated vision system, used to both locate the robotic vehicle and the tags when detected.
Opportunistic relaying for low-altitude UAV swarm secure communications with multiple eavesdroppers

In this study, we investigate the secrecy outage performance achieved by opportunistic relaying for a low-altitude unmanned aerial vehicle (UAV) swarm secure communication system in the presence of multiple UAV-eavesdroppers. In the primary channel, multiple UAV-transmitters are connected to a ground station via the ground-to-air (G2A) wireless backhaul and a UAV-transmitter and UAV-relay are selected to transmit the source signal to a far ground destination under air-to-air and air-to-ground Nakagami-m fading links. In the eavesdropping channel, maximum ratio combining is applied across multiple UAV-eavesdroppers for intercepting the legitimate transmissions from both the selected UAV-transmitter and UAV-relay. The backhaul reliability and eavesdropping probability are introduced to reflect the practical constraints on the G2A wireless backhaul and UAV-eavesdropper cooperation, respectively. The closed-form expression for the secrecy outage probability is derived in terms of the UAV cooperation, backhaul reliability, eavesdropping probability, and Nakagami-m fading parameters. In the high signal-to-noise ratio region, the asymptotic secrecy outage probability is also derived. It is shown that the secrecy diversity gain achieved by opportunistic relaying is jointly determined by the UAV cooperation and shape factors of Nakagami-m fading links in the primary channel. The analytical secrecy outage metrics achieved by opportunistic relaying are verified by Monte Carlo simulation results.
3D Loose-Coupled Fusion of Inertial Sensors for Pedestrian Localization

This work focuses on the development of a position tracking algorithm for pedestrians using, simultaneously, two inertial sensors. Our goal is to extend, from 2D to 3D, a loosely-coupled system that combines a foot-mounted inertial navigation system (INS) and a pocket-mounted INS. In order to estimate the vertical displacement of the pedestrian's walked trajectory, we use the pocket INS to detected when the user is walking the stairs. Upon stairs detection, the vertical displacement is estimated through the position estimated by the foot INS. The vertical displacement is then integrated in the filter of the loosely coupled system. The results show an improvement of 48% regarding the average height error of the foot INS. In fact, the estimated height drifts less than the foot INS estimated height when the user walks on a horizontal surface. Nevertheless, the proposed approach does not outperform the pocket INS. In conclusion, the 3D loose coupling has a reduced height drift in horizontal surfaces, while it estimates vertical displacements without any height model.
Copper Nanoparticles Show Obvious in vitro and in vivo Reproductive Toxicity via ERK Mediated Signaling Pathway in Female Mice

Copper nanoparticles (Cu-NPs) and other inorganic nanomaterials have caused increasing concern owing to be widely used. Early studies have reported that they can result in injuries to the kidney, liver and spleen of mice; cause embryonic damage; and inhibit the reproductive capacity of red worms. However, few studies have reported the toxicity of Cu-NPs on the reproductive systems of mammals. In the present work, we explored the cytotoxicity of Cu-NPs in human extravillous trophoblast cells and in the reproductive organs of mice. Cu-NPs induced ovarian and placental pathophysiology and dysfunction in mice. These nanoparticles also induced apoptosis and suppressed the proliferation of human extravillous trophoblast cells and caused cell cycle arrest at the G2/M phase in a time-and dose-dependent manner. Cu-NPs can significantly damage the mitochondrial membrane potential (MMP), which suggests that Cu-NPs can activate the mitochondria-mediated apoptosis signaling pathway. We also observed that Cu-NPs significantly inhibit the expression of BRAF, ERK, and MITF expression, all of which are important genes in the ERK signaling pathway. Our research demonstrated that Cu-NPs exert obvious reproductive toxicity in mice by disrupting the balance of sex hormones and exert cytotoxicity on human extravillous trophoblast cells, and ERK signaling and the mitochondrial apoptosis pathway made great contribution to the toxicity of Cu-NPs on female mice.
A Novel 6-D Tracking Method by Fusion of 5-D Magnetic Tracking and 3-D Inertial Sensing

Pose tracking based on a permanent magnet is not limited by line of sight. In general, a high-remanence and axially magnetized cylindrical permanent magnet is utilized as the magnetic source, which is regarded as a magnetic dipole model. However, this magnetic tracking approach cannot estimate the rotation information along the direction of the magnetic moment. Thus, only 3-D linear motion and 2-D rotational motion of the magnet can be tracked. On the other hand, inertial sensors provide effective 3-D orientation tracking. In this paper, an inertial measurement unit was attached on the surface of a permanent magnet. Then, the tracking information of these two modes was fused based on the adaptive weighted fusion algorithm. Experiments show that the full 6-D pose is acquired with an improved orientation accuracy, where the average orientation errors for <inline-formula> <tex-math notation="LaTeX">$\alpha $ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$\beta $ </tex-math></inline-formula>, and <inline-formula> <tex-math notation="LaTeX">$\gamma $ </tex-math></inline-formula>, obtained by the fusion algorithm, were 0.81°, 0.93°, and 1.26°, respectively. This paper is helpful to those who want to accurately track the full 6-D pose of an object.
Design of a Compact Neutron Spectrometer Using the CLYC Scintillator

Astronauts and spacecraft are exposed to space radiation from a variety of sources, including cosmic rays, cosmic-ray-induced neutrons and gamma rays. To determine the neutron dose to astronauts and spacecraft, an onboard neutron spectrometer with small size and low consumption design is required. The time-of-flight spectrometer and the moderation spectrometer are rejected for its long flight path and for its heavy-mass moderators, respectively. The organic scintillators have an ill-conditioned response matrix to reconstruct neutron spectrum as the responses to neutrons in different energies are highly similar. This paper presents a new design of compact neutron spectrometer using the newly developed CLYC (Cs2LiYCl6: Ce) scintillator which is sensitive to both thermal neutrons and fast neutrons. An anti-coincidence scintillator is used to reject the incident charged particle events, and the Pulse Shape Discrimination (PSD) ability of CLYC scintillator was utilized to reject gamma events. This compact neutron spectrometer uses the response matrix of monoenergetic neutrons ranging from thermal to 100 MeV and the response to incident neutrons to determine the neutron spectrum with the Iteratively Reweighted Least Squares (IRLS) algorithm. The work is verified by the simulation results of Geant4.10. 02 code, it shows that the constructed neutron spectrum agrees well with the incident spectrum.
NLOS Detection and Mitigation in Differential Localization Topologies Based on UWB Devices

Ultra-wideband systems (UWB) are a common technology which is used for indoor localization applications due to its accuracy. However there are some challenges to implement these systems in indoor area with obstacles and barriers. One of the challenges is non-line of sight conditions (NLOS) between two communicating nodes which results in large localization error. Many techniques have been proposed in the literature for NLOS detection and mitigation but most of them are deployed in time of arrival (ToA) cases. This paper extends the NLOS detection and mitigation techniques to time difference of arrival cases (TDoA). The proposed method is a parametric technique based on the probability distribution function (PDF) of features collected from received signal characteristics. An innovative method is used to apply the parametric detection method on TDoA cases both in detection and mitigation stages. The mitigation technique is based on a modified and biased extended Kalman filter (BEKF) which is used in TDoA localization method. The results prove that this technique successfully detects the NLOS cases, mitigates the error up to a factor of 10 and leads to stability of the EKF method.
Investigating Adoption Factors of Wearable Technology in Health and Fitness

Since the mid 2000's wearable technology (WT) has been available for consumers to use for health and fitness purposes. WT fitness devices are small, easily portable and can be worn on clothing or any part of the body. These devices have an interactive display which allows its users to track and record their physical activities. With the advancement in technology for WT devices and the exponential consumer adoption rate, it is important to understand the various factors that would lead a consumer to adopt these devices for health and fitness purposes. There are many international studies, focusing on using smart watches and smart wristbands, to test the devices' features during physical activities. However, there is minimal research conducted from a South African consumer perspective around adoption of these devices. This research study uses the second generation of the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to investigate the factors of adoption which would influence an individual's behavioural intention towards using a wearable device, focusing on health and fitness purposes. The results from the study identify Performance Expectancy and Habit as important factors of adoption of wearable devices for health and fitness purposes. An important outcome of the results however, indicates that individuals did not enjoy using their wearable devices during physical activity and therefore Hedonic Motivation was not shown as an important contributing factor for the intention to adopt these devices.
Global Information Spillovers

The amount of information produced in an economy varies over time. Stock prices in particular are informative but their degree of informativeness changes over time. Agents do not produce the same amount of information in every macroeconomic state of the world or in anticipation of every state. Although a baseline level of information is always produced spending additional resources on information production is not always beneficial. In fact it is so only when the expected benefits exceed the costs. In particular more information is produced when distinguishing between firms is more important.