Miracle-dz/UniFAR-FTUs huggingface dataset:
A Capacitive Pressure Sensor Interface Using

An interface for a capacitive pressure sensor which accommodates digital encoding and linearization functions has been developed. The front-end is a switched-capacitor bridge which converts the sensor capacitance into a proportional volt- age. This voltage is applied to a pulse-width modulator to be compared with a model signal generated by a digital waveform synthesizer (DWS). This model-based signal processing provides the digital equivalent of the pressure being measured. For high- yield, monolithic implementation of the interface, oversampling - demodulation techniques are used for the DWS. In addition to the digital functions, offset and scale adjustment, and cross- parameter compensation are also possible with this architecture. A prototype interface is described to demonstrate these capabil- ities.
Design of circularly polarized implantable antenna for wireless intracranial pressure monitoring system

Monitor of intracranial pressure (ICP) system is a life‐saving instrument that monitors changes in brain pressure in real time. To implement wireless data transfer, antenna is an indispensable device. In this paper, an implantable antenna is designed with circularly polarized, wideband and compact in size to adapt the application of the ICP monitoring system. First, a one‐layer human skin model to verify the basic characteristics of this antenna; and then a multilayered human head model is built to demonstrate the system performance of the designed antenna. In addition, we also considered the human safety to calculate the specific absorption rate value of the proposed antenna. The antenna can transmit different rates over to 1.5 m distance verified by the wireless communication link, which proved it has a good transitions characteristic. Finally, the sample of the antenna is fabricated and tested with help of fresh minced pork. Experiment results shows the antenna with a good property in the ICP monitoring system, as well as other remote medical telemetry system.
LMS Vs. SNS: Can Social Networking Sites Act as a Learning Management Systems?

The popularity of using social networking sites as an educational tool is increasing every day. Many educators are now trying to integrate these online teaching platforms that were provided by commercial services such as Google, LinkedIn and Facebook into learning environment. On the other side, Learning Management Systems also have great potential that makes learning environment readily available at any time and at any place. The main purpose of this paper is to consider whether social networking sites guaranteed as a formal e-learning platform as an alternative to the institutions' current Learning Management Systems. This report documents the educational value of using social networking sites as a Learning Management System. First part of the paper discusses Learning Management Systems a function of learning tool. Subsequently, this paper provides in-depth discussion of the power of Social Networking System as an educational tool. In the end, this paper concludes with the comparison of SNS and LMS.
Efficient Delivery of Hydrophilic Small Molecules to Retinal Cell Lines Using Gel Core-Containing Solid Lipid Nanoparticles

In this study, we developed a novel solid lipid nanoparticle (SLN) formulation for drug delivery of small hydrophilic cargos to the retina. The new formulation, based on a gel core and composite shell, allowed up to two-fold increase in the encapsulation efficiency. The type of hydrophobic polyester used in the composite shell mixture affected the particle surface charge, colloidal stability, and cell internalization profile. We validated SLNs as a drug delivery system by performing the encapsulation of a hydrophilic neuroprotective cyclic guanosine monophosphate analog, previously demonstrated to hold retinoprotective properties, and the best formulation resulted in particles with a size of ±250 nm, anionic charge > −20 mV, and an encapsulation efficiency of ±60%, criteria that are suitable for retinal delivery. In vitro studies using the ARPE-19 and 661W retinal cell lines revealed the relatively low toxicity of SLNs, even when a high particle concentration was used. More importantly, SLN could be taken up by the cells and the release of the hydrophilic cargo in the cytoplasm was visually demonstrated. These findings suggest that the newly developed SLN with a gel core and composite polymer/lipid shell holds all the characteristics suitable for the drug delivery of small hydrophilic active molecules into retinal cells.
Creative Stimulation in Conceptual Design: An Analysis of Industrial Case Studies

When retrospectively analyzing the design process of a creative product, the creative leap or moment of inspiration is often described by the designer in an ‘idealized way’ [1]. There is little evidence within literature describing when the ideas behind promising concepts were conceived. This study tracks several real industrial design projects in the early conceptual design phase. The development and manipulation of ideas captured during the initial group brainstorm meeting are assessed in terms of the concepts at the following stage gate meeting. In addition, several different forms of stimulus were introduced to the different groups and compared to a control group. The results showed that the frequency of idea production remained virtually constant for the first 60 minutes. However, the number of ideas to form part of a concept at the stage gate meeting dropped markedly after the first 20 minutes. The frequency of appropriate ideas featuring within stage gate concepts increased with the introduction of stimuli, highlighting the positive effect of introducing stimuli.Copyright © 2008 by ASME
Optical Vortices Sharp Focusing by Silicon Ring Gratings Using High-Performance Computer Systems

The diffraction of vortex laser beams with circular polarization (with different direction of polarization rotation) by silicon ring gratings was investigated in this paper. The silicon diffractive axicons with different numerical apertures (NA) were considered as such ring gratings. The considered diffractive axicons are compared with single silicon circular protrusion (cylinder). The finite difference time domain method was used for Light propagation (3D) through the proposed silicon ring gratings and silicon cylinder. The possibility of subwavelength focusing by varying the height of the elements is demonstrated. In particular, it is numerically shown that a silicon cylinder forms a light spot with the minimum size (intensity) of the longitudinal component of the electric field FWHM is 0. 32λ.
Convexification of Permutation-Invariant Sets and an Application to Sparse Principal Component Analysis

We develop techniques to convexify a set that is invariant under permutation and/or change of sign of variables and discuss applications of these results. First, we convexify the intersection of the unit ball of a permutation and sign-invariant norm with a cardinality constraint. This gives a nonlinear formulation for the feasible set of sparse principal component analysis (PCA) and an alternative proof of the K-support norm. Second, we characterize the convex hull of sets of matrices defined by constraining their singular values. As a consequence, we generalize an earlier result that characterizes the convex hull of rank-constrained matrices whose spectral norm is below a given threshold. Third, we derive convex and concave envelopes of various permutation-invariant nonlinear functions and their level sets over hypercubes, with congruent bounds on all variables. Finally, we develop new relaxations for the exterior product of sparse vectors. Using these relaxations for sparse PCA, we show that our relaxation closes 98% of the gap left by a classical semidefinite programming relaxation for instances where the covariance matrices are of dimension up to 50 × 50.
Extreme wave height detection based on the meteorological data, using hybrid NOF-ELM method

ABSTRACT The realization of accurate extreme wave height occurrence prediction is essential for offshore and onshore structures. In this paper, a new hybrid Natural Outlier Factor-Extreme Learning Machine (NOF-ELM) method is proposed to predict the extreme wave height occurrence based on the meteorological data. Four major hurricanes in the Gulf of Mexico are used to evaluate the performance of the proposed model. Moreover, the effect of metrological parameters on the occurrence of extreme wave height is investigated. The results of the ELM classifier are then compared with traditional classification techniques, including Logistic Regression, C4.5 Decision Trees, Discriminant Analysis, k-Nearest Neighbours, classic Multi-Layer Perceptron neural networks, and Support Vector Machines. The results show that the proposed method performs well in extreme wave height detection based on metrological parameters by mean accuracy higher than 99%. Furthermore, the results indicate that radial basis ELM has the best performance in extreme wave detection.
Environmental factors influencing requirement engineering in global software development: a review

Today's software organizations have to operate in an environment which is highly networked. With this it has an increase concern not only for integrating various technologies but also for economic, environmental and social aspects. Environmental factors are considered to be very influential while performing requirement engineering (RE) process in global software development (GSD) paradigm. Our focus in this study is towards environmental aspects of RE in GSD paradigm where the teams are geographically distributed from each other. In specific we want to explore the environmental factors which may impact the software RE process in GSD paradigm. The information used for this identification is taken from the literature by performing systematic literature review (SLR). In order to have unique identification of each of the environmental factor, Grounded theory's constant comparison and memoing steps are adopted. The initial list of environmental factors may leads to progressive enhancement for assisting in RE activities in GSD paradigm.
Adaptive sliding mode observer–based integral sliding mode model-free torque control for elastomer series elastic actuator–based manipulator

In this brief, an adaptive nonsingular terminal sliding mode observer–based adaptive integral terminal sliding mode model-free control is proposed for the trajectory tracking control of the output torque of elastomer series elastic actuator–based manipulator. Considering the tip load and its external disturbance, an elastomer series elastic actuator–based manipulator model is established. In order to realize the output torque tracking control of elastomer series elastic actuator–based manipulator, by using the characteristics of elastomer series elastic actuator, the output torque control is transformed into position control. Based on the idea of model-free control, an ultra-local model is applied to approximate the dynamic of the manipulator, and all the model information is considered as an unknown lumped disturbance. The adaptive nonsingular terminal sliding mode observer is designed to estimate the lumped disturbance, and the absolute value of the tracking error is introduced into the sliding surface to make the selection of parameters more flexible. Then, on the basis of adaptive nonsingular terminal sliding mode observer, the adaptive integral terminal sliding mode model-free control is proposed under model-free control framework. The design and analysis of both observer and controller do not rely on accurate model information. Finally, the performance of the proposed method is verified by simulation results.
Deep Learning-based Video Summarization

— With the development of communication technology, many different kinds of media transmission have become popular. Among various media, video is the most popular media these days. However, users need to spend much time watching the whole video content. Due to the characteristics of video media, many users tend to playback video content quickly or even stop watching in the middle. Some websites provide summary images by capturing only important frames of video content, which is called a video summary. Users can shorten the viewing time by only watching the summary results. In particular, it is highly useful because content such as news articles or speeches can be delivered and utilized quickly. Since video summarization is a labor-intensive task, there is an increasing demand for research on automation techniques. In this paper, an automated process to solve the temporary problem of existing video summary techniques is proposed. The proposed method improves the existing video summarization methods that have been performed manually through human labor by developing artificial intelligence technology that can effectively perform content delivery using video summary automation. In the preprocessing process, the information transfer unit is partitioned using optical flow. In the following process, CNN (Convolutional Neural Network) is used as an in-depth learning method for feature extraction. The results show the efficiency of the proposed algorithm, and some future work will be given in the end.
MULTIPLE SYNCHRONOUS SMALL BOWEL ADENOCARCINOMAS IN A CASE OF BOWEL OBSTRUCTION DUE TO FAECALOMAS SECONDARY TO MULTIPLE STRICTURES - A DIAGNOSTIC SURPRISE

Small bowel adenocarcinoma(SBA)is a rare neoplasm presenting usually in elderly patients as a single tumour. Multiple synchronous SBA is unique and difficult to diagnose due to non-specific presentations.Faecalomas have been described in association with Hirschsprungs disease, psychiatric patients, Chagas disease, both inflammatory and neoplastic conditions, and in patients suffering with chronic constipation.We herein report a case of multiple faecalomas secondary to multiple small bowel strictures leading to small bowel obstruction in a patient with previous history of pulmonary tuberculosis.Thepatient was successfully treated surgically. The strictures on histopathology turned out to be low grade adenocarcinoma. Multiple synchronous SBA as well as multiple fecalomas are individually rare entities, and their combined occurrence is even rarer.
A Novel Calibration Method for Gyro-Accelerometer Asynchronous Time in Foot-Mounted Pedestrian Navigation System

Pedestrian Navigation System (PNS) is one of the research focuses of indoor positioning in GNSS-denied environments based on the MEMS Inertial Measurement Unit (MIMU). However, in the foot-mounted pedestrian navigation system with MIMU or mobile phone as the main carrier, it is difficult to make the sampling time of gyros and accelerometers completely synchronous. The gyro-accelerometer asynchronous time affects the positioning of PNS. To solve this problem, a new error model of gyro-accelerometer asynchronous time is built. The effect of gyro-accelerometer asynchronous time on pedestrian navigation is analyzed. A filtering model is designed to calibrate the gyro-accelerometer asynchronous time, and a zero-velocity detection method based on the rate of attitude change is proposed. The indoor experiment shows that the gyro-accelerometer asynchronous time is estimated effectively, and the positioning accuracy of PNS is improved by the proposed method after compensating for the errors caused by gyro-accelerometer asynchronous time.
AWGN Channel Capacity for Multi-Cell Interference Model in WCDMA-FDD Systems

Summary Cellular phones have experienced an exponential growth worldwide over the last decade with more than one billion cell phone users projected in the near future. Indeed, cellular phones have become a critical business tool and part of everyday life in most developed countries. Moreover, wireless services give us the capability of being "always on". On the other hand, service providers must support new technology and infrastructure in order to fulfill their customers' requirements. These requirements include the better quality of service (QoS), and the insurance of full service reachability without temporal or spatial restrictions, i.e., insurance of any time any where communications. Moreover, these requirements put cellular service providers in great challenge due to the limited spectrum resources and the increased number of mobile users. Hence, the wireless operators have to increase the capacity of their systems in order to meet the level of demand but with data rates not are more than maximum channel data rate. In This Paper, the effect of increasing channel bandwidth and transmitted signal power on the maximum data rate that can be transmitted on the channel with small amount of errors (Maximum channel capacity) was considered. The analysis was carried out for speech and data users with different data rates for two types of channels: AWGN channel neglecting inter-cell and intra-cell interference , and AWGN channel with both inter-cell and intra-cell interference for Multi-cell WCDMA-FDD interference parameters (7-cells). It was noticed as a conclusion drawn from this Paper that to increase the number of users it is required to increase the channel bandwidth or increase the received signal power by increasing the transmitted signal power.
Using a New Combination of P&O and ICM Methods for the Experimental Validation of MPPT Efficacy

Received: 6 September 2021 Accepted: 19 November 2021 All over the world, photovoltaic (PV) systems have now become a hopeful way to obtain transition to sustainable energy. Under different operating conditions, the voltage and maximum power generated by PV arrays can differ. The present study aims to employ a PV experimental model to propose a technique for tracking the maximum power point using a new control method for DC-DC converters. The Perturb and Observe (P&O) and Incremental Conductance Method (ICM) were combined to obtain a new combination method. The test system comprises a PV model, a DC-DC converter, a battery, an inverter, and a load. Simulation and experimental results that are totally compatible with each other demonstrate that the devised method can be used as a platform for the PV maximum power point tracking (MPPT) systems.
Does Route of Full Feeding Affect Outcome among Ventilated Critically Ill COVID-19 Patients: A Prospective Observational Study

The outbreak of the new coronavirus strain SARS-CoV-2 (COVID-19) highlighted the need for appropriate feeding practices among critically ill patients admitted to the intensive care unit (ICU). This study aimed to describe feeding practices of intubated COVID-19 patients during their second week of hospitalization in the First Department of Critical Care Medicine, Evaggelismos General Hospital, and evaluate potential associations with all cause 30-day mortality, length of hospital stay, and duration of mechanical ventilation. We enrolled adult intubated COVID-19 patients admitted to the ICU between September 2020 and July 2021 and prospectively monitored until their hospital discharge. Of the 162 patients analyzed (52.8% men, 51.6% overweight/obese, mean age 63.2 ± 11.9 years), 27.2% of patients used parenteral nutrition, while the rest were fed enterally. By 30 days, 34.2% of the patients in the parenteral group had died compared to 32.7% of the patients in the enteral group (relative risk (RR) for the group receiving enteral nutrition = 0.97, 95% confidence interval = 0.88–1.06, p = 0.120). Those in the enteral group demonstrated a lower duration of hospital stay (RR = 0.91, 95% CI = 0.85-0.97, p = 0.036) as well as mechanical ventilation support (RR = 0.94, 95% CI = 0.89–0.99, p = 0.043). Enteral feeding during second week of ICU hospitalization may be associated with a shorter duration of hospitalization and stay in mechanical ventilation support among critically ill intubated patients with COVID-19.
Evaluation of User Experience on Using the "MoLearn" Application in Learning Activities of High School Students

— The shift of paradigm in learning certainly impacts the demands of changing the ability of educators. Educators need to hone their material/scientific fields' abilities, and the methods and media used, especially those using information technology such as Hybrid Learning Model. Hybrid Learning Model is learning to provide content for learning models in various media. In order to support the Hybrid Learning Model, a mobile-based learning application was designed. It is a mobile-based software application to support high school students' learning known as the MoLearn application. The development of the MoLearn application continues to be done by also taking into account the User Experience. Some applications for education were developed with no appropriate design. For this reason, it was necessary to evaluate the MoLearn application with an Evaluation of User Experience from the use of MoLearn application. This study measured using tools such as the User Experience Questionnaire. The results of the User Experience Questionnaire for evaluation showed that 200 respondents (high school students) from 6 different schools of East Java Province, Indonesia. Students gave good marks on attributes of attractiveness, clarity, efficiency, and accuracy scales, while the attributes of stimulation and novelty are excellent. Students' perceptions of websites and Android-based application design are considered to meet the creative, innovative, interesting, easy, and informative attributes.
Piezoelectric capacitive power generator from vibration energy

A vibration-powered micro-power-generator has been presented in this paper, which has integrated two different energy harvesting mechanisms, e.g., Capacitive and Piezoelectric Mechanisms. The periodic vibration of the mass on movable electrode causes the variation of the capacitance, and the strain in the piezoelectric film. These two mechanisms can harvest the vibration energy and generate current in the output circuit. By using two different metals with large difference in working function as the two electrodes of the capacitor, our design, the combination of these two different scavenge mechanisms, can overcome the dependence of the traditional capacitive converter on the separate voltage source and improve the efficiency of power conversion. The volume of the designed device is less than 0.8 cm3. The simulated results reveal that this energy converter can provide an average output power of 82. 21μW at an external vibration with a frequency of 111.4 Hz and amplitude of 0.2g.