Miracle-dz/UniFAR-FTUs huggingface dataset:
Powering E-Textiles Using a Single Thread Radio Frequency Energy Harvesting Rectenna

Radio frequency energy harvesting (RFEH) and wireless power transfer (WPT) are increasingly seen as a method of enabling sustainable computing, as opposed to mechanical or solar EH WPT does not require special materials or resonators and can be implemented using low-cost conductors and standard semiconductor devices. This work revisits the simplest antenna design, the wire monopole to demonstrate the lowest-footprint, lowest-cost rectifying antenna (rectenna) based on a single Schottky diode. The antenna is fabricated using a single Litz-wire silk-coated thread, embroidered into a standard textile substrate. The rectifier is fabricated on a compact low-cost flexible printed circuit board (PCB) using ultra-thin polyimide copper laminates to accommodate low-footprint surface mount components. The antenna maintains its bandwidth across the 868/915 MHz license-free band on- and off-body with only −4.7 dB degradation in total efficiency in human proximity. The rectenna achieves up to 55% RF to DC efficiency with 1.8 V DC output, at 1 mW of RF power, demonstrating its suitability as a power-supply unit for ultra-low power e-textile nodes.
General Reuse-Centric CNN Accelerator

This article introduces the first general reuse-centric accelerator for CNN inferences. Unlike prior work that exploits similarities only across consecutive video frames, general reuse-centric accelerator is able to discover similarities among arbitrary patches within an image or across independent images, and translate them into computation time and energy savings. Experiments show that the accelerator complements both prior software-based CNN and various CNN hardware accelerators, producing up to 14.96X speedups for similarity discovery, up to 2.70X speedups for overall inference.
Combining Ultrasonic Signals And Multi-Colored Images To Perform Object Tracking And Recognition In Low-Cost Robotic Platforms

– Robotics research focuses on a broad range of interdisciplinary aspects. Regarding robot-driven application development, different purposes and complexities may be considered. State-of-the-art platforms are usually adopted for developing non-trivial tasks, however, their high costs occasionally inhibit robotics application for education and research purposes. Some tasks, such as pattern recognition, are usually designed without considering low-cost requirements. In order to fully explore the capabilities of low-cost platforms, this article presents an empirical analysis of object tracking and recognition accuracy, non-trivial and essential tasks for Robotics. This task is performed by an autonomous robot equipped with camera and ultrasonic sensor. Three experimental scenarios are deﬁned for further observation and comparison. Object tracking and representation ac-quirement are achieved in these scenarios only by camera, only by ultrasonic sensor and by combining both, respectively. 10-fold cross validation has been carried on a MLP neural network with different learning rates. Image-based recognition got an average f-measure above 0.9 and an area under ROC curve above 0.95, which proved to be better than ultrasonic-based recognition with a f-measure around 0.8 and area under ROC curve around 0.85. Experiments have also validated low-cost platforms adoption for object tracking and recognition
Comparative chemical constituents of some desert fruits in Northern Nigeria

Aqueous extract of the fruits of Borassus aethiopum, Borassus flabellifer, Balanite aegyptiaca, Phoenix dactylifera and Tamarindus indica were subjected to preliminary screening for chemical constituents using generally accepted laboratory technique for qualitative phytochemical screening. The constituents screened for were tannins, saponins, phlobotannins, terpenoids, flavonoids, cardiac glycosides,glycosides,phenol, anthracene, free-anthraquinone, carotenoids, steroid, reducing compounds and alkaloids. The distribution of these constituents were assessed and compared. All the plant specimen were found to contain saponin, flavonoids, reducing compound, terpenoids, alkaloids and free-anthraquinone. Phlobotannin, carotenoids, anthracene and glycoside was absent in all the plant specimen. All the plant specimen seem to potential as a source of useful drugs.
Climate Change and Vibrio cholerae in Herring Eggs: The Role of Indigenous Communities in Public Health Outbreak Responses

Climate change brings about novel types of public health emergencies. Unforeseen challenges put additional pressure on health systems and require innovative approaches to address emerging needs. The health of Indigenous Peoples is particularly impacted by the changing climate, because of their close connection to the land. For instance, the physical, emotional, mental, and spiritual well-being of coastal First Nations in British Columbia (BC), Canada, is interconnected with the abundance of healthy marine food sources that form the base of local traditional diets. The 2018 discovery of Vibrio cholerae illness in those who had eaten contaminated herring eggs not only had a clinical health impact but also created concerns for the safety of local food systems. The limited magnitude of the outbreak demonstrates the critical importance of collaborative partnerships between coastal First Nations communities in BC and health authorities working together in outbreak investigations. Yet, the lack of procedures that address cultural and institutional differences led to unnecessary discrepancies in the approach. This paper introduces the public health intervention used during the first ever Vibrio cholerae outbreak in coastal BC. The intervention has the potential to inform best practices when developing emergency response protocols potentially affecting Indigenous people and traditional foods. In this qualitative case study of the formal institutional documents and narratives of the key partners involved in the response, we assess the intervention, highlight the challenges and enablers, share lessons learned, and identify knowledge requirements to improve confidence in the traditional food system and support early warning systems.
Recent Progress on Preparation of Transition Metal Compound as Counter Electrodes for Dye-sensitized Solar Cells

Dye-sensitized solar cells (DSSCs) have attracted extensive attention in recent years due to their simple fabrication, low cost and environmental friendliness. The production process for counter electrode (CE) as one of the key components of DSSC, will significantly affect the DSSCs development and application. Therefore, it is important to develop low cost and high performance catalytic materials instead of noble metal Pt to reduce the production cost of DSSC. Transition metal compounds with Pt-like catalytic activity have become a hot research area for CEs of DSSC in recent years, due to their wide variety and simple preparation. This review briefly addresses recent progresses of transition metal compound CEs of DSSC, focusing on their preparation methods and performance. In addition, the development trends and application prospects of CEs were also discussed.
Effect of Learning Abroad on the Students’ Career Direction and Employability through Australian-Indonesian Student Mobility Programs

Among key features of the internationalization of higher education, student mobility has been given a big attention by universities and relevant stakeholder to achieve advance knowledge, intercultural skills, intellectual capital, and prospective labour market benefit. The increasing number of Indonesian students studying in Australian universities indicates the development of student mobility collaboration between both nations. Australia has become the most popular destination country for Indonesian students to pursue better education and Indonesia also become one of the destination countries for Australian students to participate in international student mobility program under the New Colombo Plan (NCP). Yet, little is known, about the impact of student mobility program or learning abroad on students’ career direction and employability within the context of both nations. This article is aimed to address this gap by examining the perspectives of participating students and other relevant stakeholders from both countries. It uses Bourdieu’s thinking tools of capital, habitus, field, and the idea of cultural and social reproduction, to capture the picture of how this student mobility program affects the students in relation to their career direction and employability. Findings generated from this research will be beneficial to HEIs and policy makers in Indonesia and Australia so that all involving parties can acquire expected outcomes of this student mobility program.
Partial Discharge Type Detection utilizing Statistical Techniques (n-q) and Random Forest Method

Partial Discharge (PD) designs are critical instrument for the findings of high voltage (HV) protection frameworks. Human specialists can find conceivable protection absconds in different portrayals of the PD information. One of the most broadly utilized portrayals is Phase-Resove,d PD (PRPD) designs. So as to guarantee the dependable activity of H.V hardware, it is vit,al to rela,te the noticeable measurable attributes of P.Ds to t,he prope,rties of the imperfection and at last to decide the kind of the deformity. In present work, we have obtained and analyzed PRPD pattern (n-q) using statistical parameters such as mean, standard deviation, variance, skew-ness and kurtosis to detect type of PD & we have verified the obtained results by providing obtained statistical para-meters as an in-put for training of Artificial Neural Net-work (ANN) in Google colaboratory using Python for Random Forest Method to detect type of discharge such as either void, surface or corona.
A Review of Data Mining Applications in Semiconductor Manufacturing

For decades, industrial companies have been collecting and storing high amounts of data with the aim of better controlling and managing their processes. However, this vast amount of information and hidden knowledge implicit in all of this data could be utilized more efficiently. With the help of data mining techniques unknown relationships can be systematically discovered. The production of semiconductors is a highly complex process, which entails several subprocesses that employ a diverse array of equipment. The size of the semiconductors signifies a high number of units can be produced, which require huge amounts of data in order to be able to control and improve the semiconductor manufacturing process. Therefore, in this paper a structured review is made through a sample of 137 papers of the published articles in the scientific community regarding data mining applications in semiconductor manufacturing. A detailed bibliometric analysis is also made. All data mining applications are classified in function of the application area. The results are then analyzed and conclusions are drawn.
Study of mechanical properties of pultruded jute-glass reinforced unsaturated polyester bio-composites with hybrid filler loading

Purpose The purpose of this study is to develop jute-glass hybrid fibre reinforced polyester-based bio-composites using an indigenously developed pultrusion set-up and to present a detailed discussion on their mechanical characterization. Design/methodology/approach The work was carried out to observe the hybridization effect of natural and synthetic fibres in combination with hybrid fillers loading mainly on strength and other properties. The used hybrid fillers were a combination of 9 Wt. % of carbon black%, 6 Wt. % of eggshell ash powder and 6 Wt. % of coconut coir ash powder. A lab-based developed pultrusion set-up was used to develop these hybrid GJFRP composites of 1,500 mm length. The developed composites were tested for tensile strength, compressive strength and impact strength. Findings The maximum tensile, compressive and impact strength obtained are 88.37 MPa, 56.13 MPa and 731.91 J/m from 9 Wt. %, 9 Wt. % and 0 Wt. % of hybrid fillers loading, respectively. Breaking energy was found maximum as 7.31 J in hybrid glass-jute hybrid fibre reinforced plastic composites with no filler loading and it was observed that filler loading was decreasing the impact strength of developed hybrid composites. Shrinkage and its variations in the diameter of the finally developed cylindrical shape composites were observed after cooling and solidification. Scanning electron microscopy was used to observe the internal cracks, bonding of fibres and resin, voids, etc. Originality/value Development of hybrid filler based novel eco-friendly bio-composites and its experimental investigation on the impact strength, tensile strength and compressive strength has not been attempted yet.
Web-Based Online Study Plan Card Application Design

Filling in the Study Plan Card (KRS) is a part that plays an important role in the academic system. The KRS filling system that has been running so far is still using the manual system. The development of a web-based online KRS application aims to replace the manual KRS system that is running so that later lecture activities can run smoothly. The system development method used is WebE, the system design method uses UML (unified modeling language), and the system test uses a black box system. This application is made with the programming language PHP and MySQL as a database. The results of this study indicate that the application of web-based online KRS applications can make it easier for students to fill in KRS compared to manual filling. This application can also assist the campus in managing data on the number of students who are active in the current semester. However, it is necessary to develop the system that has been made to become a better and perfect system, such as adding the KRS menu for short semesters so that this system makes it easier for students.
Basin inversion: Reactivated rift structures in the Ligurian Sea
revealed by OBS

Abstract. The northern margin of the Ligurian Basin shows notable seismicity at the Alpine front, including frequent magnitude 4 events. Seismicity decreases offshore towards the Basin centre and Corsica, revealing a diffuse distribution of low magnitude earthquakes. We analyse data of the amphibious AlpArray seismic network with focus on the offshore component, the AlpArray OBS network, consisting of 24 broadband ocean bottom seismometers deployed for eight months, to reveal the seismicity and depth distribution of micro-earthquakes beneath the Ligurian Sea. Two clusters occurred between ~10 km to ~16 km depth below sea surface, within the lower crust and uppermost mantle. Thrust faulting focal mechanisms indicate compression and an inversion of the Ligurian Basin, which is an abandoned Oligocene rift basin. The Basin inversion is suggested to be related to the Africa-Europe plate convergence. The locations and focal mechanisms of seismicity suggest reactivation of pre-existing rift structures. Slightly different striking directions of faults in the basin centre compared to faults further east and hence away from the abandoned rift may mimic the counter-clockwise rotation of the Corsica-Sardinia block during ~20–16 Ma. The observed cluster events support the hypothesis of strengthening of crust and uppermost mantle during rifting related extension and thinning of continental crust.
The impact of system quality on satisfaction to use learning management system: E-campus perspective

The use of online learning applications is becoming increasingly popular in higher education institutions. However, it requires a considerable amount of investment and, if consumers do not make use of it, the investment would not benefit and would be considered a failure. In order to prevent such failure, this research will identify the factors that contribute to the user satisfaction on e-campus. Data were collected from 500 undergraduate and postgraduate students from private university in Kuantan Malaysia using a validated set of questionnaire. A series of regression statistics has been performed to answer the research question. The findings indicate that the system quality (β= 0.63, p < 0.01) was positively related to user satisfaction of using e-campus, which explains a total variance of 40%.
Impacts of Job Standardisation on Restaurant Frontline Employees: Mediating Effect of Emotional Labour

Managers of food service operations standardise various aspects of operations to sustain consistent service quality. Frontline employees in these operations are expected to carry out tasks as per standards. Standards demand that frontline employees regulate their behaviours and emotions to complete their duties. Therefore, referring to the organisational role theory and the emotion regulation theory as the directing basis, this study examined the impact of job standardisation on emotional labour, as well as the effect of emotional labour on emotional exhaustion and job satisfaction of frontline employees in the hospitality sector. This study also examined the mediating effect of emotional labour on the relation between job standardisation, on one hand, and emotional exhaustion and job satisfaction on the other hand. The data collection was carried out in food service operations in Lebanon. Structural equation modelling (SEM) was used to assess the relations. The results showed that job standardisation negatively affected emotional labour and that emotional labour had a positive effect on emotional exhaustion and a negative effect on job satisfaction. Furthermore, emotional labour mediated the relation between job standardisation and emotional exhaustion and job satisfaction. Practical and theoretical implications and directions for future research are also provided.
Spectroscopic Confirmation of an M6 Dwarf Companion to the Nearby Star BD-08 2582

We report resolved optical spectroscopy for the nearby low-mass stellar system BD-08 2582AB. We confirm prior unpublished reports of the existence of the secondary, and the spectral data indicate a secondary type of M6 Ve, consistent with spectrophotometric estimates from Gaia astrometry. The secondary exhibits Hα emission at a level equivalent to other M6 dwarfs, and has a metallicity index in line with its well-studied solar-metallicity K7/M0 primary.
Kinetic models applied to soluble vitamins delivery systems prepared by spray drying

ABSTRACT The incorporation of bioactive nutrient compounds such as vitamins into food systems can provide a simple way to develop new functional foods. In this work, the controlled release of two vitamins (vitamins B12 and C), microencapsulated by a spray-drying process, is studied. With a properly designed controlled-release system, the compounds are released at the desired site and time, and at a desired rate. The main kinetic release models are applied and discussed. Also, the main mechanisms associated to the release were identified. The use of models to predict in vivo bio-performance is an advantage in the development of new products.
Longitudinal Associations between Cyberbullying Victimization, Mindfulness, Depression, and Anxiety: A Mediation Analysis

ABSTRACT The purpose of this study was to examine the mediational role of mindfulness in the linkage between cyberbullying victimization and depression and anxiety among Chinese adolescents in longitudinal data. A total of 1274 Chinese high school students completed the measures at Time 1 (T1) and Time 2 (T2). Adolescents’ self-reports of cyberbullying victimization, mindfulness, depression, and anxiety were used in the analyses. The results showed that our model fit the data well and revealed that mindfulness partially mediated the relationship between cyberbullying victimization and depression and anxiety. This study highlights the potential key role of mindfulness in the relationship between the experience of being cyberbullied with both depressive and anxious symptoms.
NEOWISE Observed CO and CO2 Production Rates of 46P/Wirtanen During the 2018–2019 Apparition

We present measurements of comet 46P/Wirtanen obtained by the NEOWISE spacecraft in 2017 through 2019. We detected signal in excess of the dust in the 4.6 μm channel attributable to the presence of CO, or more likely, CO2 emission. The excess, when the comet was outbound at a heliocentric distance of 1.9 au, was consistent with a CO2 production rate of 1.3(±0.07) × 1026 molecules per second, which is equivalent to an active area on the order of a percent of the comet nucleus’ total surface.
Power in the U.S. political economy: A network analysis

Many features of the U.S. political economy arise from the interactions between large political and economic institutions, and yet we know little about the nature of their interactions and the power distribution between these institutions. In this paper, we present a detailed analysis of networks of U.S.‐based organizations, where edges represent three different kinds of relationships, namely owner–owned (ownerships), donor–donee (donations), and service provider–payee (transactions). Our findings suggest that in the ownerships network, the financial organizations form the core, and banking organizations hold strategic locations in the network. In the transactions network, the government organizations and agencies form the core, and defense‐related organizations form the backbone. In contrast, with the donations network, no specific domain of organizations forms either the core or the backbone.
Approximate Fokker–Planck–Kolmo-gorov equation analysis for asymmetric multistable energy harvesters excited by white noise

Due to the broadband response characteristics at low levels of excitations, nonlinear multistable systems have garnered a great deal of attention in the area of energy harvesting. Moreover, various performance enhancement strategies of multistable harvesters have been proposed and discussed extensively for systems with perfectly symmetric potentials. However, it is very difficult or even impossible in practice to modulate a nonlinear system with completely symmetric potentials. Therefore, this paper investigates the stochastic response characteristics of asymmetric potential multistable harvesters excited by Gaussian white noise. Approximate Fokker–Planck–Kolmogorov equation for multistable harvester is provided, and solved by the method of detailed balance. Numerical simulations are carried out to characterize the probability distribution and power output of the response of the harvesters. Results indicate that the theoretical method could well predict the response probability distribution of the systems under white noise excitations. To be more specific, the probability distribution of velocity response at a given excitation level is not affected by the asymmetry of potentials, while the probability density function of displacement is very dependent on the shape of potentials. In terms of the power output, the numerical results agree well with the theoretical results. However, the error between numerical and theoretical results increases with the increase in the number of the steady states and the degree of asymmetry of the harvesters.