Miracle-dz/UniFAR-FTUs huggingface dataset:
Determination of Quality Properties of Low-Grade Biodiesel and Its Heating Oil Blends

This research work examined how biodiesel produced from frying oils affects the physicochemical properties of its mixtures with conventional heating oil. Through the characterization of biodiesel blends and heating oil, the purpose is to produce an improved heating oil that will meet the specifications of the existing legislation for heating oil, while positively contributing to reducing the production of pollutants. The percentage of biodiesel added to a conventional diesel fuel contributes to the reduction of the pollutants produced during combustion. The examined biodiesel is considered the residual product, which was produced at a factory in Cyprus, and was deemed unsuitable for export, because it does not meet the legal requirements. Using specific volumes of these mixtures, twelve parameters were determined in order to investigate the effect of the mixtures: kinematic viscosity, sulfur content, micro carbon residue (MCR), distillation curves, density, cloud point (CP), fatty acid methyl esters (FAMEs) content, heat of combustion, iodine value (IV), cetane index (CI) after distillation, oxidation stability, and cold filter plugging point (CFPP). A number of fuel properties including the kinematic viscosity, MCR, distillation temperature—up to 80% distillate—and density showed an increase as the percentage of FAMEs raised from 2.5 to 50%, while others showed a mixed behavior (e.g., IV, CP, CI, CFPP), and the rest an inverse trend (e.g., sulfur content, heat of combustion and oxidation stability). An efficient potential utilization of a residual domestic product is proposed, while the pollutants that accumulate on the urban atmospheres during the winter months, due to increased heating needs of homes and other public or private buildings, will be significantly reduced.
Effect of Intake of Blueberries in Hypertensive Patients

Aim: To study the effect of blueberry in control of blood pressure in hypertensive patients. Objective: To find out whether blood pressure increases or decreases on the consumption of blueberries in 30 hypertensive patients for 2 weeks. Background: Blueberry consumption has been shown to have various health benefits in humans. However, the effect of blueberries on blood pressure is not very much known. Other fruits and plant extracts have not produced the same result. They contain micronutrients with moderate levels. Blueberries contain anthocyanins, other poly phenols and various photochemicals under preliminary research for their potential role in the human body. They are available as fresh or frozen fruit, purée, juice or dried fruits used for making jellies and jams. Reason: This study was conducted to investigate the role of blueberry consumption in modifying of blood pressure in hypertensive patients.
In-Silico Molecular Characterization of Human TSHβ Subunit Protein

Hypothyroidism is a common disorder of endocrine system in which the thyroid gland does not produce enough thyroid hormone. The most common cause of hypothyroidism is inflammation of the thyroid gland, which damages the gland’s cells. It can affect growth, cellular processes and many other body functions. As more damage accumulates, the risk of hypothyroidism increases. The molecular processes, mutations activating the dominant cellular genes and structure-function relationships of TSH permitted better understanding of the role of specific protein and carbohydrate domains in the synthesis, bioactivity, and clearance of the hormone. TSHβ subunit is a protein that in humans is encoded by the TSHB gene. Mutations located within the coding region of the TSHβ subunit gene responsible for hypothyroidism. The normal TSHB gene performs an essential function in normal production of thyroid hormone and the mutation of a TSHB gene is a key step leading to low hormone production. The present investigation was carried out to understand the molecular features of TSHβ protein through In silico characterization by retrieving the protein sequence information from major protein database, analysis of physicochemical properties, prediction of secondary structural elements of normal and mutated TSHβ proteins, tertiary structure prediction and structure visualization of normal and mutated TSHβ. This preliminary analysis forms the base for the detailed understanding of molecular mechanism of TSHβ subunit and further functional analysis of it can pave a new dimension for the treatment of hypothyroidism via structure based drug designing.
Enhanced BankVault (Strong Room) Security System Design

: As Security is one of the most needed and concerning factor while building a vault system, whereby vaults areintended to protect their contents from theft, unauthorized use, fire, natural disasters, and other threats. With lack of more efficient security a vault can be vulnerable to some number of attacks or disasters. The fact that most of the systems are human based supportive security protocol, Then the main purpose of this paper is to propose the design of a microcontroller based automated security system of the bank vault that can give an instant protection against any break-in by hackers or any unauthorized physical intrusion, reacts bylocking the vault door and alerting the control room while sending a warning signal to the law enforcement team immediately. The system consists of the twoworking together microcontrollers PIC16F690&ATmega328that associated with Ultrasonic sensorHC-SR04, 2x Infra-red(IR)sensors FC-51, passive infrared (PIR)sensor, LDR, GSM/ GPRS & GPS shield, Piezo Buzzer and Optical Fingerprint sensor with display panel.
Compact Realization of Combline Bandpass Filter Integrated with Defected Microstrip Structure Bandstop Filter

In this paper, a microstrip combline bandpass fllter (BPF) with a broad upper stopband performance is presented. The proposed fllter is based on the design of a bandpass fllter cascaded with a defected microstrip structure (DMS) bandstop fllter. The bandstop characteristic is realized using T-shaped DMS at the external input and output coupling transformers. The measured and simulated electrical performances are in good agreement and demonstrate broad upper stopband bandwidth. The proposed fllter is also compared with the characteristic of a conventionally designed fllter to highlight the advantages of the proposed approach.
Jorg Karger : Their Individual and Collective Contributions to the Field of Zeolite Science and Engineering

Prof. Doug Ruthven and Prof. Jörg Kärger are two giants in the field of zeolite science and engineering. Over their academic careers encompassing almost forty years each, they have contributed significantly to the advancement of fundamental understanding of adsorption and diffusion in zeolites as well as their industrial applications. The author, in the beginning of his academic career, had an opportunity to spend two years as a post-doctoral fellow in Prof. Ruthven’s laboratory at the University of New Brunswick (1975–1977). This experience actually motivated me to spend my academic career in working in the field of zeolite adsorption and diffusion. Nearly thirty years later, I spent a year as a Gast Mercator Professor at the University of Leipzig in the laboratory of Prof. Kärger (2005– 2006). These two opportunities at two different ends of my academic career provided me with unique perspectives to reflect on the important contributions made by Professors Ruthven and Kärger to the field of zeolite science and technology. This article summarizes my personal perspectives on the breadth and depth of their contributions.
WHY DO PEOPLE AVOID ADVERTISING ON THE INTERNET?

This study was designed to provide insights into why people avoid advertising on the Internet. Recent negative trends in Internet advertising, such as "banner blindness" and extremely low click-through rates, make it imperative to study various factors affecting Internet ad avoidance. Accordingly, this study builds a comprehensive theoretical model explaining advertising avoidance on the Internet. We examined three latent variables of Internet ad avoidance: perceived goal impediment, perceived ad clutter, and prior negative experience. We found that these constructs successfully explain why people cognitively, affectively, and behaviorally avoid advertising messages on the Internet. Perceived goal impediment is found to be the most significant antecedent explaining advertising avoidance on the Internet.
Brazil's Trade Liberalization and Growth: Has it Failed?

Unfulfilled expectations about economic growth in Brazil has led many observers to question the ability of the new, open trade regime to put the economy back on a path of sustainable growth. Whereas the country's growth record has been really poor, the evidence suggests that the underlying causes had nothing to do with trade. Quite the contrary. This paper shows that trade liberalization has given an important contribution to two of the main drivers of growth: productivity and investment in physical capital. It argues that these gains were not turned into growth due to an unfavorable macro and institutional environment. It also claims that Brazil could have enjoyed more gains from trade, had it pursued a more aggressive trade policy at home and abroad. The paper concludes by outlining the main issues of a pro-growth, trade policy agenda for the country.
Deflagration-to-Detonation Transition in Thermonuclear Supernovae

We derive the criteria for deflagration to detonation transition (DDT) in a Type Ia supernova. The theory is based on two major assumptions: (1) detonation is triggered via the Zeldovich gradient mechanism inside a region of mixed fuel and products, and (2) the mixed region is produced by a turbulent mixing of fuel and products either inside an active deflagration front or during the global expansion and subsequent contraction of an exploding white dwarf. We determine the critical size of the mixed region required to initiate a detonation in a degenerate carbon-oxygen mixture. This critical length is much larger than the width of the reaction front of a Chapman-Jouguet detonation. However, at densities greater than ≃5 × 106 g cm-3, it is much smaller than the size of a white dwarf. We derive the critical turbulent intensity required to create the mixed region inside an active deflagration front in which a detonation can form. We conclude that the density ρtr at which a detonation can form in a carbon-oxygen white dwarf is low, less than 2-5 × 107 g cm-3 but greater than 5 × 106 g cm-3.
9-Level voltage source inverter controlled using selective harmonic elimination

This paper presents an efficient cascaded H-bridge inverter topology that is controlled using an optimized selective harmonic elimination pulse width modulation technique. The switching angles are obtained by solving the nonlinear transcendental equation with the aid of genetic algorithm optimization method. Unlike the usual H-bridge converter topologies that require multiple individual direct current (DC) sources and additional switching components per voltage step, the proposed topology utilizes a single DC source to supply two full-bridge modules. The modified topology employs a cascaded multi-winding transformer that has two independent primary windings and series-connected secondary side with 1:E and 1:3E turn ratios. The converter topology and switching function are proven to be reliable and efficient, as the total harmonic distortion (THD) is quite low when compared with the conventional H-bridge topology controlled by other modulation techniques. This feature makes it attractive to renewable energy systems, distributed generation, and highly sensitive equipment such as those used in medical, aerospace, and military applications. The topology is simulated using a PSIM package. Simulation results show that all the 11- level lower order odd harmonics are eliminated or suppressed in compliance with the SHE elimination theorem of (N-1).
Control of Rayleigh-like waves in thick plate Willis metamaterials

Recent advances in control of anthropic seismic sources in structured soil led us to explore interactions of elastic waves propagating in plates (with soil parameters) structured with concrete pillars buried in the soil. Pillars are 2 m in diameter, 30 m in depth and the plate is 50 m in thickness. We study the frequency range 5 to 10 Hz, for which Rayleigh wave wavelengths are smaller than the plate thickness. This frequency range is compatible with frequency ranges of particular interest in earthquake engineering. It is demonstrated in this paper that two seismic cloaks’ configurations allow for an unprecedented flow of elastodynamic energy associated with Rayleigh surface waves. The first cloak design is inspired by some approximation of ideal cloaks’ parameters within the framework of thin plate theory. The second, more accomplished but more involved, cloak design is deduced from a geometric transform in the full Navier equations that preserves the symmetry of the elasticity tensor but leads to Willis’ equations, well approximated by a homogenization procedure, as corroborated by numerical simulations. The two cloaks’s designs are strickingly different, and the superior efficiency of the second type of cloak emphasizes the necessity for rigour in transposition of existing cloaks’s designs in thin plates to the geophysics setting. Importantly, we focus our attention on geometric transforms applied to thick plates, which is an intermediate case between thin plates and semi-infinite media, not studied previously. Cloaking efficiency (reduction of the disturbance of the wave wavefront and its amplitude behind an obstacle) and protection (reduction of the wave amplitude within the center of the cloak) are studied for ideal and approximated cloaks’ parameters. These results represent a preliminary step towards designs of seismic cloaks for surface Rayleigh waves propagating in sedimentary soils structured with concrete pillars.
Fine-scale movement, activity patterns and home-ranges of European lobster Homarus gammarus

Understanding an animal's movement, distribution and activity pattern is vital for effective delivery of evidence-based management; however, such data are sparse for many eco- nomically important fishery targets, particularly the European lobster Homarus gammarus. This study aimed to elucidate high-resolution movement and activity patterns of a large cohort (n = 44; carapace length = 65�98 mm) of adult European lobsters, using a passive fine-scale acoustic telemetry VEMCO Positioning System (VPS) off Northumberland (UK). This is the first application of VPS on this species and the first offshore VPS study within the UK, providing novel positional data generated via triangulation based on time difference of arrival of acoustic signals. Individual home-ranges using kernel density and minimum convex polygons showed seasonal variation: 95% utilisation distribution ranged from 244 to 7722 m 2 during spring (mean ± SE: 11 104 ± 397 m 2 ), and declined to 237�784 m 2 during autumn (mean ± SE: 455 ± 66 m 2 s.e.). The study also provides evidence of behavioural differences between sexes, with males using more space than females. Daily cumulative step-length and daily minimum convex polygons highlighted that while space-use decreased during the autumn, daily distance moved increased for the majority of lobsters observed, coupled with longer durations of diel activity during autumn. These results suggest that using home-range analyses alone to describe lobster movement may inadequately represent its full behaviour. This study demonstrates the potential for passive acoustic telemetry tracking of otherwise cryptic and difficult to study marine benthic animals.
Chromatographic Study of the Ethanol Extract of Cordia myxa L . Fruit

The aim of this study was to perform possible phytochemical screening for the Cordia myxa L. fruit extract by some analytical techniques. Ethanol extract was obtained by treating dried fruit sample with ethanol, the extract was used for GC and the peaks were studied to determine the composition and volatility of the extract. The extract was also analyzed by using HPLC and further analysis was carried out to determine the presence, concentration, and carcinogenic effects of 16 polycyclic aromatic hydrocarbons. The GC analysis revealed the presence of 10 alkaloids with one major component comprising about 64% of the total extract. In addition, 16 compounds were also reported with HPLC analysis. The presence of the following 6 PAHs in the extract was confirmed: Flourene, Pyrene (B2 carcinogen), Chrysene (B2), Phenanthrene (A1), Flouranthene (A1), and Benzo[a]anthracene with total concentration of about 412 ng/g. From the results, we can conclude the presence of many alkaloids and we can predict that most of the medical effects of the fruits are in the major compound which needs more standardization for further identification. The second finding of the study is the probable carcinogenic and toxic effects of the fruit due to the presence of several PAHs. Keyword: GC; HPLC; chromatography; ethanol extract; plant extract; Cordia myxa; PAHs; phytochemistry;
Prions: the danger of biochemical weapons

The knowledge of biotechnology increases the risk of using biochemical weapons for mass destruction. Prions are unprecedented infectious pathogens that cause a group of fatal neurodegenerative diseases by a novel mechanism. They are transmissible particles that are devoid of nucleic acid. Due to their singular characteristics, Prions emerge as potential danger since they can be used in the development of such weapons. Prions cause fatal infectious diseases, and to date there is no therapeutic or prophylactic approach against these diseases. Furthermore, Prions are resistant to food-preparation treatments such as high heat and can find their way from the digestive system into the nervous system; recombinant Prions are infectious either bound to soil particles or in aerosols. Therefore, lethal Prions can be developed by malicious researchers who could use it to attack political enemies since such weapons cause diseases that could be above suspicion.
6H-SiC Transistor Integrated Circuits Demonstrating Prolonged Operation at 500 C

The NASA Glenn Research Center is developing very high temperature semiconductor integrated circuits (ICs) for use in the hot sections of aircraft engines and for Venus exploration where ambient temperatures are well above the approximately 300 degrees Centigrade effective limit of silicon-on-insulator IC technology. In order for beneficial technology insertion to occur, such transistor ICs must be capable of prolonged operation in such harsh environments. This paper reports on the fabrication and long-term 500 degrees Centigrade operation of 6H-SiC integrated circuits based on epitaxial 6H-SiC junction field effect transistors (JFETs). Simple analog amplifier and digital logic gate ICs have now demonstrated thousands of hours of continuous 500 degrees Centigrade operation in oxidizing air atmosphere with minimal changes in relevant electrical parameters. Electrical characterization and modeling of transistors and circuits at temperatures from 24 degrees Centigrade to 500 degrees Centigrade is also described. Desired analog and digital IC functionality spanning this temperature range was demonstrated without changing the input signals or power supply voltages.
Anti-phishing using Big Data

Now a day’s phishing attack has become one of the most serious issues faced by internet users, organizations and service providers. In phishing attack attacker tries to obtain the personal information of the users by using spoofed emails or by using fake websites or both. The internet community is still looking for the complete solution to secure the internet from such attacks. The users will be victim for this kind of activities, because phishing web pages looks very similar to real ones, so finds difficult to distinguish between the fake website and ones, detecting this kind of webpage is very difficult because for identification it takes several attributes into consideration which user might not knowing those things. The existing phishing detection systems are highly dependent on database and they are very time consuming also. In this proposed system, Hadoop-Map Reduce is used for fast retrieval of URL attributes, which plays a key role in identifying phishing web pages and it is known for its time efficiency and throughput also can gained using this.
Trigger Point and Tender Point Injections

 There is a regional pain complaint in the expected distribution of referral pain from a trigger point, AND  There is spot tenderness in a palpable taut band in a muscle, AND  There is restricted range of motion, AND  Conservative therapy (eg, physical therapy, active exercises, ultrasound, heating or cooling, massage, activity modification, or pharmacotherapy) for 6 weeks fails or is not feasible, AND  Trigger point injections are provided as a component of a comprehensive therapy program, AND  No more than 4 injections are given in a 12-month period.
Modeling Spatiotemporal Multimodal Language with Recurrent Multistage Fusion

Computational modeling of human multimodal language is an emerging research application of spatiotemporal modeling spanning the language, visual and acoustic modalities. Comprehending multimodal language requires modeling not only the spatial interactions within each modality (intra-modal interactions) but more importantly the interactions between modalities (cross-modal interactions) from complex temporal data. We propose the Recurrent Multistage Fusion Network (RMFN) which decomposes the spatiotemporal fusion problem into multiple stages, each of them focused on a subset of multimodal signals for specialized, effective fusion. Spatial cross-modal interactions are modeled using this multistage fusion approach which builds upon intermediate representations of previous stages. Temporal and intra-modal interactions are modeled by integrating our proposed fusion approach with a system of recurrent neural networks. The RMFN displays state-of-theart performance in modeling multimodal language across three tasks relating to multimodal sentiment analysis, emotion recognition, and speaker traits recognition. Experiments show that each stage of fusion focuses on a different subset of multimodal signals and learns increasingly discriminative representations.
Individual immune system responds differently.

Each individual immune system is highly specific but extremely distant from other individuals. Based on recent technological advancement whole immune system analysis reveal different immune profiling for every individual. Herein, we clarified the detailed variation in the human immune system with coherence to their respective effecting factors. The most influencing factors include age, time, gender, heritable, non-heritable, non-pathogenic, pathogenic microbes, genetic makeup and environment. Correlating these factors analysis will help us to investigate and treat numerous immune pathological conditions with highest specificity at the doorstep of every individual in the near future.