Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of Antennas for RFID Application

As a vital and integrated part of the radio-frequency identification (RFID) system, RFID antennas have been received much attention over years, and their design is very urgent and significant. In fact, the development of RFID antenna is of theoretical significance and practical value for the RFID system. In this chapter, the RFID technology is briefly introduced, and the operating principle of the RFID system is described. The antenna in RFID system is discussed, and the designing principle of the antennas for RFID applications is presented. Some commonly used antennas in the RFID system are also displayed.
Discovery of periodic methanol masers associated with G323.46−0.08

The 6.7 GHz methanol masers associated with G323.46 − 0.08 have undergone signiﬁcant change since their discovery in 1992. After 2009 April, new features with a peak ﬂux density of ∼ 500 Jy in the velocity channel v = − 68.35 km s − 1 , in the velocity range from − 71 to − 68.5 km s − 1 were detected. It is suggestive that it experienced an accretion event similar to that reported in S255-NIRS3 and NGC 6334I. Evidence of periodicity is found in all of the associated methanol masers with a period of ∼ 93.5 d. It is not possible to determine if this source was periodic before 2017. However, all the 6.7 GHz methanol masers are probably amplifying a common background periodic radio source.
Framework to Practical Introductory Classes about Development of Information System

: Many information system students have difficulty to learn how they can develop information systems using tools which already exist. For this reason, the goal of this paper is present a tool which was created to support teachers to conduct introductory practical classes for students who begin to learn how to develop system. For this propose, this work describes a framework that helps these students during their introductory practical learning of information system. This framework follows part of MVC model and uses the PHP programming language. The results presented in this paper show that the framework assists teachers performing introductory practical classes for beginner students. This work aims to contribute for students understand the development of system more quickly and easily.
Fiber Optic Dual-Ring Michelson Interferometer-Based Detection Scheme for the Measurement of Dynamic Signals

A fiber optic dual-ring Michelson interferometer (DRMI) based detection scheme for the measurement of dynamic signals is proposed and experimentally demonstrated. The fiber optic sensor is a single mode fiber between two broadband fiber Bragg gratings (FBGs) with different center wavelengths. The two FBGs are connected to two output ports of a <inline-formula><tex-math notation="LaTeX">$3 \times 3$</tex-math></inline-formula> coupler to compose a DRMI. High responsivity and wide frequency response range can be achieved at the same time. The scheme has high reliability, in which the undesirable external perturbation applied to interferometric arms is removed. A DRMI-based vibration sensor and a DRMI-based acoustic sensor are fabricated and experimentally investigated. For the DRMI-based vibration sensor, a responsivity of 12.8 rad/g is obtained, and the resonant frequency is 825 Hz. The minimum detectable acceleration is 54 μ<italic>g</italic><inline-formula><tex-math notation="LaTeX">$/\surd$</tex-math></inline-formula>Hz at 300 Hz. The acoustic sensor is used to detect signals in the frequency range of 0.5–19 kHz. The detection scheme has properties of wide frequency response range, high responsivity, and high reliability.
Channel Length Biasing for Improving Read Margin of the 8T SRAM at Near Threshold Operation

Reducing a supply voltage in order to minimize power consumption in memory is a major design consideration in this field of study. In static random access memory (SRAM), optimum energy can be achieved by reducing the voltage near the threshold voltage level for near threshold voltage computing (NTC). However, lowering the operational voltage drastically degrades the stability of SRAM. Thus, in conventional 6T SRAM, it is almost impossible to read exact data, even when a small process variation occurs. To address this problem, an 8T SRAM structure is proposed which can be widely used for improving the read stability at lower voltage operation. In this paper, we investigate the channel length biasing effect on the read access transistor of the 8T SRAM in NTC and compare this with 6T SRAM. Read stability can be improved by suppressing the leakage current due to the longer channel length. Simulation results show that, in NTC, up to a 12× read-error reduction can be achieved by the 20 nm channel length biasing in the 8T SRAM compared to 6T SRAM.
The Summarize of Improved HMM Model

The hidden markov model is a kind of important probability model of series data processing and statistical learning and it has been successfully applied in many engineering tasks. This paper introduces the basic principle of hidden markov model firstly, and then discusses the limitations of hidden markov model, as well as the improved hidden markov model which is put forward to solve these problems.
SERS-based sandwich bioassay protocol of miRNA-21 using Au@Ag core–shell nanoparticles and a Ag/TiO2 nanowires substrate

Based on surface-enhanced Raman scattering (SERS) technology, Au@Ag@4MBA@5′-NH2-ssDNA probes and a Ag/TiO2@3′-NH2-ssDNA substrate were prepared and constructed into a sandwich structure to develop a high sensitivity bioassay of miRNA-21.
Live black soldier fly larvae (Hermetia illucens) for turkey poults

Black soldier fly larvae (BSFL; Hermetia illucens) are a suitable protein source for poultry. However the effect of live BSFL supplementation on growth performance and behaviour has never been demonstrated and quantified in turkeys. Wild turkeys eat insects during the first two weeks of life which is in contrast with commercially fed crumbs or pellets. Damaging pecking behaviour is a severe problem in turkeys. More lively diets may improve natural behaviour and decrease damaging pecking behaviour. The aim of the experiment was to stimulate natural behaviour of young non-beak treated turkeys by supply of live BSFL to avoid damaging pecking behaviour. Two treatments with seven replicates were studied in 14 floor pens (1.5 m2/pen and 20 turkeys per pen) from 0 to 35 days of age. Control groups were fed commercial diets and BSFL groups received live BSFL. The daily BSFL intake was calculated to be 10% of the expected daily feed intake (based on fresh weight) and dietary nutrient composition was adjusted in a way that control and BSFL groups were fed iso-nutritious. Daily feed intake and body weight gain of BSFL groups were significantly higher compared to control groups resulting in a significantly higher body weight at five weeks of age (2,190 vs 2,015 g; P=0.003) and a significantly lower feed conversion ratio. In the first week there was a tendency for more foraging related behaviour for the BSFL groups, but in the third and fifth week BSFL groups showed less foraging related behaviour compared to control groups. Provision of BSFL reduced aggressive pecking directed at the back and tail base at 5 weeks of age. Although the incidence of feather and skin damage was low, this type of damage tended to be lower in the BSFL groups.
Robust log-based anomaly detection on unstable log data

Logs are widely used by large and complex software-intensive systems for troubleshooting. There have been a lot of studies on log-based anomaly detection. To detect the anomalies, the existing methods mainly construct a detection model using log event data extracted from historical logs. However, we find that the existing methods do not work well in practice. These methods have the close-world assumption, which assumes that the log data is stable over time and the set of distinct log events is known. However, our empirical study shows that in practice, log data often contains previously unseen log events or log sequences. The instability of log data comes from two sources: 1) the evolution of logging statements, and 2) the processing noise in log data. In this paper, we propose a new log-based anomaly detection approach, called LogRobust. LogRobust extracts semantic information of log events and represents them as semantic vectors. It then detects anomalies by utilizing an attention-based Bi-LSTM model, which has the ability to capture the contextual information in the log sequences and automatically learn the importance of different log events. In this way, LogRobust is able to identify and handle unstable log events and sequences. We have evaluated LogRobust using logs collected from the Hadoop system and an actual online service system of Microsoft. The experimental results show that the proposed approach can well address the problem of log instability and achieve accurate and robust results on real-world, ever-changing log data.
A physical activity intervention in a Bingo club: Significance of the setting

Objective: A Bingo club was selected for the design and delivery of a health intervention (Well! Bingo) in order to engage with older women living in areas of socio-economic disadvantage. In the light of our experience, we discuss the significance of the setting in relation to a typology of health promotion settings. Design and Setting: The Well! Bingo physical activity intervention was piloted in a Bingo club in Scotland. Methods: In a pilot feasibility study, women were recruited face-to-face at a Bingo club over 2 weeks. The 12-week intervention consisted of three different structured exercise sessions per week, followed by refreshments, with trained instructors delivering a schedule of simple pre-defined health messages. Participants completed a baseline questionnaire, and in-depth qualitative interviews were carried out with participants and instructors post-intervention. For this paper, using the framework method, we retrieved and analysed the data coded as relating to the setting. Results: Eighteen women (55-92 years) took part in intervention sessions. Half lived in areas of socio-economic deprivation. Practical and social familiarity with the setting (a sense of belonging and being with people like themselves) encouraged them to take part, and implicit features of the setting may have enhanced recruitment and effectiveness. Discussion: In settings-based health promotion, a Bingo club could be seen as a ‘passive’ setting, simply facilitating access to a target population. It cannot be an ‘active setting’, because health promotion will never be a core activity and features cannot be drawn upon to influence change. However, calling it a passive setting overlooks the importance of characteristics that may enhance recruitment and effectiveness. This highlights the need to extend current concepts of ‘passive’ health promotion settings.
COLOUR IMAGE STEGANOGRAPHY USING MEDIAN MAINTENANCE

Steganographic algorithms in the recent past have been producing stego images with perceptual invisibility, better secrecy and certain robustness against attacks like cropping, filtering etc. Recovering a good quality secret from a good quality stego image may not always be possible. The method proposed in this paper works in transform domain and attempts to extract the secret almost as same as the embedded one maintaining minimal changes to the cover image by using techniques like median maintenance, offset and quantization.
NECESSITY OF LEARNING ANALYTICS IN SOFTWARE ENGINEERING EDUCATION

Computers are necessary and unavoidable part of the modern lifestyle. Software is the key factor to satisfy all the desires and keep up this rock status. Software engineers are the people who develop the software to satisfy the user needs and make their work easier. Software engineers are academically mold up to the industry requirements through the proper software engineering education. Hence software engineering education plays an imperative role in computer education, but it falls short to fabricate the genius software engineers to satisfy the industries need. To overcome these issues researchers proposed number of software engineering learning/teaching methods to egg-on students to reap their depth knowledge in software engineering, albeit these allusions does not utterly conquer this decisive issue since the suggested approaches does not meet with the student’s learning style. Learning analytics plays a vital role to improve the students learning activities. This paper describes the software engineering students’ requirements through learning analytics and proposes a teaching/learning tool to engage the students learning activities to overcome such issues and inspire them in gathering software engineering knowledge.
Results of investigation in corrosion processes in gasifyer gasifying fuels containing straw and lignin

To gasify low quality biofuels it is proposed to use a downdraft gasifier with productivity by gas 6068 m 3 ·h -1 . The research was made for fuel mixtures of chopped straw and hydrolyzed lignin with variable acidity. A multifactor experiment was made to estimate the influence of acidity and the moisture content of fuel mixture as well as temperature in an active zone of the gasification chamber on corrosion rate of an experimental specimen made of 15Cr21N5T. Similar experiments were made for specimens made of S32109, A57036 and Ni70Cr27Al. It was found that the moisture content influences corrosion more than acidity. Minimal corrosion rate was observed for fuel mixture with the moisture content 25 % and pH6. When raising temperature in the gasification chamber active zone from 600 to 1000 oС, the corrosion rate rises by 8 % for the mixture with the moisture content 25 % and pH6 and by 17 % for the mixture with the moisture content 45 % and pH5. Within the interval 900-1000 oС the highest quality producer gas was received having the calorific value of 9.6 MJ·Nm -3 with output of 2.7 m 3 ·kg -1 . It is confirmed that between 900-1000 oС chloride and sulphide corrosion is significant for all types of materials. Raising the nickel content in alloy is lowering its corrosion resistance, which is confirmed with the specimen made of Ni70Cr27Al. Adding superheated steam to blowing gases is intensifying all corrosion processes. The received results of the corrosion processes could form a base of studying and computing other types of thermo-chemical conversion of low quality biofuels with similar chemical composition.
Photovoltaic Three-Dimensional Diamond UV Photodetector With Low Dark Current and Fast Response Speed Fabricated by Bottom-Up Method

Fabrication of a low-dark-current and high-response-speed three-dimensional diamond UV photodetector using the bottom-up method is demonstrated. The photovoltaic detector exhibits typical rectifier <inline-formula> <tex-math notation="LaTeX">${I}$ </tex-math></inline-formula>-<inline-formula> <tex-math notation="LaTeX">${V}$ </tex-math></inline-formula> characteristics. The dark current is 14.2 pA under a reverse bias of 10 V, and it is five-orders-of-magnitude lower than that of photoconductive detectors. Transient response measurement indicates that the decay time of the photovoltaic detector is about 590 ms and the persistent photoconductivity phenomenon is weak. This remarkable reduction of the dark current and persistent photoconductivity can be attributed to the Schottky barrier formation between W and oxygen-terminated diamond. The photovoltaic detector also demonstrates a larger deep UV-to-visible rejection ratio than photoconductive detector.
Validation of phosphodiesterase isozymes as targets for pulmonary hypertension.

Pulmonary hypertension (PH) is a debilitating disease with a very poor prognosis. Increasing lung cyclic GMP (cGMP) levels is clinically effective in treating the disease, but since many endogenous pathways regulate cGMP synthesis and metabolism, there exists considerable scope for further optimising cGMP-based therapy. In this thesis I have explored this possibility focusing on natriuretic peptides, vasoactive mediators that stimulate cGMP synthesis via a membrane-bound guanylate cyclase, and phosphodiesterases (PDE) which inactivate cGMP. Using organ bath pharmacology, I assessed the functional reactivity of systemic (aorta) and pulmonary vessels in response to atrial natriuretic peptide (ANP) and nitric oxide (NO; in the form of an NO-donor) in the absence and presence of isoform-selective PDE inhibitors. This was conducted in tissues from normoxic rats and animals exposed to 2 weeks hypoxia (10% O2). In addition, I undertook RT-PCR studies to determine if expression of specific PDEs changed in these vessels under a hypoxic environment. My data suggest that PDE 2 and PDE 5 are the principal PDE isoforms regulating ANP-dependent vasorelaxation in the pulmonary vasculature (from a functional and expressional standpoint) and that inhibition of these PDEs should bring about a selective pulmonary dilatation, particularly under hypoxic conditions. Using a model of hypoxia-induced PH, I demonstrated that the PDE2 inhibitor, BAY 60-7550, prevents the pulmonary hypertension, pulmonary vascular remodelling and right ventricular hypertrophy characteristic of the disease. Moreover, combination of BAY 60-7550 with the neutral endopeptidase inhibitor ecadotril (augments circulating natriuretic peptide levels) produces an additive, if not synergistic, benefit against disease severity. Finally, I built on published work from our laboratory by investigating the effect of the PDE5 inhibitor sildenafil, in combination with ecadotril, in experimental models of PH and pulmonary fibrosis. Again, my data suggest that targeting PDE5 is also an effective therapeutic approach in these lung disorders.
Web based multimedia communication with session initiation protocol (SIP)

Session Initiation Protocol (SIP) is a signaling protocol, used, for example, in multimedia conferences. SIP is expected to be the dominating solution for telecommunication solutions over the Internet in a near future. This report describes a bachelor’s project at Ericsson AB. The assignment was to investigate if a connection could be established between a web site user and a SIP user. That is, we were supposed to build a web site, where a web user could log on, and from there establish a connection with a SIP user. The major question that we had to ask ourselves, and to investigate, was how to link the HTTP protocol with the SIP protocol. Even though we had some problems, we finally managed to establish a connection between the web user and the SIP user in the end. We almost managed to carry out all of the requirements that were set, but not quite since the signaling between the two parties was not fully completed. We came to the conclusion that a connection between HTTP and SIP is indeed possible.
Molecular analysis of a divergent isolate of Potato virus H from potato reveals novel evolutionary feature of Carlaviruses

Abstract A new Carlavirus in the family Betaflexiviridae was identified from potato plants showing yellow mosaic symptoms. The full genome of this Carlavirus comprises 8,429 nucleotides which shares the highest nucleotide identity (66.7%) with that of Potato virus H (PVH). The virus is closely related to PVH in the phylogenetic trees constructed based on the deduced amino acid sequences of RNA-dependent RNA polymerase (RdRp) and coat protein (CP). The CP of the virus had 71.1–73.1% nucleotide and 79.5–82.2% amino acid sequence identities with those of published PVH sequences, whereas the RdRp was distinctly different from PVH isolates, with about 52.5% nucleotide and 66.3% amino acid sequence identities. A highly divergent region underlying strong positive selection was identified in the RdRp coding region of the virus and other carlaviruses as well. We propose that the most conserved replicase domain at the C-terminal of RdRp is more suitable than the full RdRp for sequence-based species demarcation. The virus was classified as a divergent strain of PVH based on the nucleotide and amino acid sequence identities of the CP and replicase domain of the RdRp and similar host range to PHV.
QoS mechanisms for MAC protocols in wireless sensor networks: a survey

With the rapid development in ubiquitous smart sensors, wireless sensor networks (WSNs) have started to evolve into numerous applications including healthcare, military, agriculture, transportation, industry, internet of things (IOT), and smart cities. However, satisfying quality of service (QoS) requirements of various application domains remains a challenging issue due to the heterogeneous traffic flows, dynamic network conditions, and resource-constrained nature of sensor nodes. In this regard, application-specific QoS provisioning techniques have received considerable research attention at the medium access control (MAC) layer. This study presents a systematic review of the QoS mechanisms employed at the MAC layer in WSN and also highlights their open research issues. In addition, the survey presents a comparative analysis of various QoS-aware MAC protocols with emphasis on their strengths and limitations. Finally, this survey discusses various potential directions for future research in the field of QoS provisioning at the MAC layer.
Bio-Inspired Aerodynamic Noise Control: A Bibliographic Review

It is well-known that many species of owl have the unique ability to fly silently, which can be attributed to their distinctive and special feather adaptations. Inspired by the owls, researchers attempted to reduce the aerodynamic noise of aircraft and other structures by learning their noise reduction features from different viewpoints and then using the gained knowledge to develop a number of innovative noise reduction solutions. Although fruitful results have been achieved in the bio-inspired aerodynamic noise control, as far as the authors know, comparatively little work has been done to summarize the main findings and progresses in this area. In this bibliographic survey, we systematically review the progresses and trends of the bio-inspired aerodynamic noise control, including the macroscopic and microscopic morphological characteristics of the owl wing feathers, the noise measurements on both flying birds in the field and prepared wings in the wind tunnel, as well as theoretical, numerical and experimental studies that explored the feasibility, parameter influence, aerodynamic effects and underlying mechanisms of the four main bio-inspired noise reduction techniques, i.e., leading edge serrations, trailing edge serrations, fringe-type trailing edge extensions and porous material inspired noise reduction. Finally, we also give some suggestions for future work.