Miracle-dz/UniFAR-FTUs huggingface dataset:
Photovoltaic-assisted self-Vth-cancellation CMOS rectifier for synergistic RF energy harvesting

A highly eﬃcient CMOS rectiﬁer for RF energy harvesting has been developed (using 0.18- (cid:22) m CMOS technology). To operate with high eﬃciency even under extremely low input power conditions, the voltage- doubler-based rectiﬁer was implemented using an eﬀective combination of self-Vth-cancellation (SVC) and photovoltaic (PV)-assisted techniques. In this rectiﬁer, the threshold voltage (Vth) of the diode-connected MOSFET was compensated for by a DC bias voltage generated from not only the on-chip PV cells, but also from the output voltage of the rectiﬁer itself. Therefore, the rectiﬁer operated with high eﬃciency even under low input power conditions. Furthermore, a bias voltage limiter using simple pn diodes was adopted to regulate the excessive Vth compensation eﬀectively and realize a high eﬃciency in the operation of the rectiﬁer over a wide powerrange. TheradiofrequencytoDCpowerconversioneﬃciency(PCE) of 30.8% was achieved at an input power level of (cid:0) 15 dBm, a frequency of 1 GHz, an output load resistance of 10 k Ω , and a light irradiance of 10 mW/m 2 .
Spread of Tomato Brown Rugose Fruit Virus in Sicily and Evaluation of the Spatiotemporal Dispersion in Experimental Conditions

Tomato brown rugose fruit virus (ToBRFV) is an emerging pathogen that causes severe disease in tomato (Solanum lycopersicum L.) crops. The first ToBRFV outbreak in Italy occurred in 2018 in several Sicilian provinces, representing a serious threat for tomato production. In the present work, the spatiotemporal displacement of ToBRFV in Sicily was evaluated, analyzing a total of 590 lots of tomato seed, 982 lots of plantlets from nurseries and 100 commercial greenhouses. Furthermore, we investigated the ToBRFV spreading dynamic in a greenhouse under experimental conditions. Results showed several aspects related to ToBRFV dispersion in protected tomato crops. In detail, an important decrease of the ToBRFV-infected seed and plantlet lots was detected. Regarding the examined commercial greenhouses, ToBRFV still appears to be present in Sicily, although there has been a decrease during monitoring. In experimental conditions, it was demonstrated that the presence of few infected plants are sufficient to damage the entire crop in a short time, reaching almost 100% of infection.
Goat Immunity to Helminthes

Goat hematology, especially, shares considerable attention since the last 1980s. Large number of discrepant normal hematologic values is reported. The discrepancies resulted came from the differences in age group, breed, and health standing of goats. This makes it further complex with variances in climate of the region, its environment, and size and methodology applied. With time, many inconsistencies, reasonably standardization in normal caprine kinetic hematologic values, are in place. Both goats and sheep are infested by the same key digestive tract helminthes (DTHs) diseases. Helminthes are exceedingly ubiquitous worm parasites that progressed to adopt with many erudite means to evade host immune system.
Exosomal Long Non-Coding RNA: Interaction Between Cancer Cells and Non-Cancer Cells

Exosomes are small membranous vesicles released by many kinds of cells, and are indispensable in cell-to-cell communication by delivering functional biological components both locally and systemically. Long non-coding RNAs (lncRNAs) are long transcripts over 200 nucleotides that exhibit no or limited protein-coding potentials. LncRNAs are dramatic gene expression regulators, and can be selectively sorted into exosomes. Exosomal lncRNAs derived from cancer cells and stromal cells can mediate the generation of pre-metastatic niches (PMNs) and thus promote the progression of cancer. In this review, we summarized the fundamental biology and characteristics of exosomal lncRNAs. Besides, we provided an overview of current research on functions of exosomal lncRNAs between cancer cells and non-cancer cells. A deep understanding of exosomal lncRNAs’ role in cancer will be facilitated to find important implications for cancer development and treatment.
Non-Heme Iron Content and Antioxidant Activities of Wistar Rats Fed Aqueous Extract of Elaeis guineensis (Banga Soup) Cooked Using Different Utensils

Cooking utensils may leach toxic metals or trace elements into food. Iron is an essential nutrient and both iron deficiency and iron excess can affect optimal health. The aim of the study was to determine non-heme iron (NHI) and some antioxidant parameters of rats fed banga soup (BS) prepared using different utensils. Twentyfive Wistar albino rats were used for the study. They were allowed to acclimatize for one week before commencement of the experiment. Group 1 served as control. Rats in Group 2, 3, 4 and 5 were administered BS cooked using cast iron pot (CIP), aluminium pot (AP), blended mixture (BM) of BS and aqueous tween 80 respectively. Rats in Group 1 to 5 received tap water daily and standard laboratory diet (feed) throughout the experiment period of 28 days. There were no significant difference in aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP) activities, albumin (Alb) and total protein (TP) in the serum and liver of the entire experimental Groups. Significant decrease were observed in total phenol content (TPC), total antioxidant capacity (TAC), ferric reducing antioxidant power (FRAP) and ascorbic oxidase (AO) activity in the serum and NHI content in the serum, liver and kidney of Group 2, 3 and 4 when compared with Group 1 and 5. DOI: https://dx.doi. org/10.4314/jasem.v24i6. 20 Copyright: Copyright © 2020 Otuaga et al. This is an open access article distributed under the Creative Commons Attribution License (CCL), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Dates: Received: 21 April 2020; Revised: 26 May 2020; Accepted: 20 June 2020
Identification of microbial contaminants in drinking water samples of Ahmedabad using PCR

Quality of drinking water is one of the greatest anxiety of water consumers with contamination of different pathogenic microorganisms especially fungi and bacteria. Water-borne pathogen contamination in water resources and related diseases are a major water quality concern throughout the world. A motivation for this study was the numerous reports about these contaminations of drinking water and the associated diseases. Water samples were collected from various locations of Ahmedabad in February 2017. The samples were analyzed by 16S rDNA PCR and ITS rDNA PCR since the DNA sequence polymorphisms in the 16S ribosomal DNA and ITS rDNA can be used for the identification of bacterial and fungal species respectively. The PCR amplicons were obtained for each water samples, were sequenced and the species identity was determined using NCBI-BLAST. Bacterial species of Aeromonas, Citrobacter and E. coli along with two fungal species were obtained from municipal water supplies and parab waters. Species of Aspergillus and Penicillium represented the most common fungi in municipal water supplies. This is the first report of molecular study from drinking water facilities of Ahmedabad. This study has clearly revealed that currently, the microbiological quality of the water is inferior for drinking purpose due to bacterial and fungal contamination. This study also showed the potential PCR based identification as a rapid technique for identifying microorganisms in drinking water samples.
A Survey on Driver Behavior Detection Techniques

The objective of this paper is to detect the car driver behavior. Many factors can influence the behavior of the driver that includes fatigue, distraction, eye-blinking, taking eyes off from the road, time of the driving etc. The in appropriate behavior while driving the car can leads to accidents that in return damages one’s life or the vehicle. The papers discuss the various techniques to monitor the driver behaviors and describes the advantages and disadvantages of the methods used to detect the driver behavior in a car.
Changing Patronage and Informality Configurations in Ukraine: From the Shop floor Upwards

This article examines hegemonic norms of political and moral economy in Ukraine today acting at the level of the workplace. My research is based on fieldwork I conducted in a large industrial city in the east of Ukraine from January to June 2019. Using the general Gramsci-inspired theoretical framework and the insights of Hillel Ticktin, Simon Clarke and Michael Burawoy regarding Soviet and post-Soviet factory regimes, I analyse differences between the life-worlds of workers, relating them to the structurally different context in which they find themselves. All enterprises feature path-dependent informal bargaining and underinvestment as cornerstones of their factory regimes. However, they differ in the ways in which these traits combine in practice. These configurations, in turn, elicit different strategies and attitudes from the workers, each of them more typical at one enterprise than at others: an archaic manufactory attitude at a new window factory, exit in mines torn between owners, voice at the foreign-owned metalworking factory, and loyalty at a ‘native’ oligarchic holding. The general trend is not towards eliminating informality as a ‘post-Soviet residue’ but rather towards renegotiating it with different outcomes.
Bioinformatic Identification and Analysis of Hydroxyproline-rich Glycoproteins in Plants

LIU, XIAO, Ph.D., August 2017, Environmental and Plant Biology Bioinformatic Identification and Analysis of Hydroxyproline-rich Glycoproteins in Plants Director of Dissertation: Allan M. Showalter Hydroxyproline-rich glycoproteins (HRGPs) are a superfamily of plant cell wall proteins that function in diverse aspects of plant growth and development. This superfamily consists of three members: arabinogalactan-proteins (AGPs), extensins (EXTs), and proline-rich proteins (PRPs). A bioinformatic software program, BIO OHIO 2.0, was developed to expedite the genome-wide identification and classification of HRGPs based on characteristic motifs and biased amino acid compositions. Principles of HRGPs identification and a stepwise tutorial for using this program with proteomic data was provided to facilitate and guide basic and applied research on HRGPs. Firstly, bioinformatic identification of EXTs was conducted in plants. A total of 758 EXTs were identified in 16 species, including 87 classical EXTs, 97 short EXTs, 61 leucine-rich repeat extensins (LRXs), 75 proline-rich extensin-like receptor kinases (PERKs), 54 forminhomolog EXTs (FHXs), 38 long chimeric EXTs, and 346 other chimeric EXTs. Classical EXTs were likely derived after the terrestrialization of plants; LRXs, PERKs, and FHXs were derived earlier than classical EXTs; monocots have fewer classical EXTs than eudicots; green algae have no classical EXTs but have a number of long chimeric EXTs that are absent in embryophytes. Phylogenetic analysis was conducted which shed light on the evolution of three EXT classes. In a second study, bioinformatic identification of HRGPs was conducted in poplar (Populus trichocarpa) which identified and classified 271
Mass Accommodation and Gas-Particle Partitioning in Secondary Organic Aerosols: Dependence on Diffusivity, Volatility, Particle-phase Reactions, and Penetration Depth

Abstract. Mass accommodation is an essential process for gas-particle partitioning of organic compounds in secondary organic aerosols (SOA). The mass accommodation coefficient is commonly described as the probability of a gas molecule colliding with the surface to enter the particle phase. It is often applied, however, without specifying if and how deep a molecule has to penetrate beneath the surface to be regarded as incorporated into the condensed phase (adsorption vs. absorption). While this aspect is usually not critical for liquid particles with rapid surface-bulk exchange, it can be important for viscous semisolid or glassy solid particles to distinguish and resolve the kinetics of accommodation at the surface, transfer across the gas-particle interface, and further transport into the particle bulk. For this purpose, we introduce a novel parameter: an effective mass accommodation coefficient αeff that depends on penetration depth and is a function of surface accommodation coefficient, volatility, bulk diffusivity, and particle-phase reaction rate coefficient. Application of αeff in the traditional Fuchs-Sutugin approximation of mass-transport kinetics at the gas-particle interface yields SOA partitioning results that are consistent with a detailed kinetic multilayer model (KM-GAP, Shiraiwa et al., 2012) and two-film model solutions (MOSAIC, Zaveri et al., 2014) but deviate substantially from earlier modeling approaches not considering the influence of penetration depth and related parameters. For highly viscous or semisolid particles, we show that the effective mass accommodation coefficient remains similar to the surface accommodation coefficient in case of low-volatile compounds, whereas it can decrease by several orders of magnitude in case of semi-volatile compounds. Such effects can explain apparent inconsistencies between earlier studies deriving mass accommodation coefficients from experimental data or from molecular dynamics simulations. Our findings challenge the approach of traditional SOA models using the Fuchs-Sutugin approximation of mass transfer kinetics with a fixed mass accommodation coefficient regardless of particle phase state and penetration depth. The effective mass accommodation coefficient introduced in this study provides an efficient new way of accounting for the influence of volatility, diffusivity, and particle-phase reactions on SOA partitioning in process models as well as in regional and global air quality models.
Biology of Palaearctic Wainia bees of the subgenus Caposmia including a short review on snail shell nesting in osmiine bees (Hymenoptera, Megachilidae)

Wainia, a species-poor genus of osmiine bees, contains two Palaearctic species, whose biologies are unknown. In the present publication, we describe the nesting site and nest architecture ofW.sexsignataand analyse the pollen host spectra ofW.sexsignataandW. eremoplanaby microscopical analysis of larval faeces and female scopal contents.W. sexsignatanests in empty snail shells. It uses large petal pieces of yellow flowered Asteroideae to separate the linearly arranged brood cells and to construct a series of partitions between the outermost cell and the final nest closure, which consists of masticated green leaves.W. sexsignatais recorded as a new host of the meloid beetleSitarobrachysthoracica. Both PalaearcticWainiaspecies have a strong preference for Asteraceae as pollen hosts, but occasionally also collect pollen on other plant taxa. A literature survey revealed that nesting in empty snail shells is widespread among osmiine bees: obligate snail shell nesting is assumed to have independently evolved at least twelve times in their evolutionary history and to occur in at least 56 species belonging to 4 genera and 14 subgenera.
A recontextualização de materiais curriculares educativos por professores de Matemática moçambicanos

This research aimed to identify and understand processes of pedagogical recontextualization of educative curriculum materials by mathematics secondary teachers who participated in a continuous teacher education program. Observation of lessons and interviews were used to collect data. Data analysis was based on the concept of recontextualization, from Basil Bernstein's theory. The results of the research show that the teachers implemented a pedagogical practice that resulted in a recontextualization of some of the principles underlying the material they implemented, in terms of the contents of the tasks and their sequencing. Our analysis suggests that this recontextualization was simultaneously a consequence of the interlocution of pedagogical principles of different recontextualization fields (for example, the designers of the educative curriculum materials and the continuous training program) and the identification of the teachers with routine pedagogical principles that had already been guiding their teaching work.
Longitudinal Performance in Basic Numerical Skills Mediates the Relationship Between Socio-Economic Status and Mathematics Anxiety: Evidence From Chile

Socio-economic status (SES) and mathematical performance seem to be risk factors of mathematics anxiety (MA) in both children and adults. However, there is little evidence about how exactly these three constructs are related, especially during early stages of mathematical learning. In the present study, we assessed longitudinal performance in symbolic and non-symbolic basic numerical skills in pre-school and second grade students, as well as MA in second grade students. Participants were 451 children (average pre-school age = 5 years, 6 months) from 12 schools in Chile, which differed in school vulnerability index (SVI), an indicator of SES. We tested an explanatory model of MA that included SES and longitudinal performance in basic numerical skills as predictors. The results showed a direct effect of SES on MA and a mediating effect of performance in symbolic and non-symbolic comparison tasks in pre-school. However, in second grade, only performance in symbolic comparison significantly mediated the SES-MA relationship. These findings suggest that performance in non-symbolic comparison plays an important role in explaining MA at initial stages, but that its influence is no longer significant by the time children reach formal instruction in second grade. By contrast, as children’s formal educational experience in mathematics increases, MA becomes linked primarily to symbolic numerical tasks. In sum, SES affects MA and this is due in part to the effect of SES on the development of numerical learning in pre-school, which in turn has an impact on subsequent, more complex learning, ultimately leading to differences in MA. We discuss the implications of these findings for preventing and acting upon the emergence of MA.
Effect of Zilpaterol Hydrochloride on Performance and Meat Quality in Finishing Lambs

Twenty-four Dorper x Pelibuey lambs were housed in individual pens during a 31-d feeding period and assigned to four treatments (n = 6) under a randomized complete block design with different daily doses of zilpaterol hydrochloride (ZH): 0 (control), 0.1, 0.2, and 0.3 mg/kg BW to determine the effects of ZH supplementation on productive performance, meat quality, and wholesale cut yields. Final BW (p = 0.02) and average daily gain (ADG, p = 0.04) were greater in lambs supplemented with 0.2 mg/kg BW. Supplemental ZH tended to improve dry matter intake (DMI, p = 0.008) and ADG:DMI ratio (p = 0.078). Wholesale cut yields were not affected by ZH supplementation. Percentage of head was greater (p = 0.04) in lambs treated with ZH. The ZH supplementation did not affect carcass characteristics. However, longissimus thoracis et lumborum (LTL) presented a linear trend (p = 0.08) of increasing with ZH supplementation. Percentage of blood presented a trend (p = 0.051) of decreasing with ZH supplementation. Also, liver decreased in size (p < 0.05) for treatments where ZH was included. Values of luminosity decreased (p < 0.02) when ZH dosage increased. The value of protein Lowry was greater, with 0.3 mg kg−1 (p = 0.04). Cathepsin B + L was greater in the lambs from the control treatment (p = 0.05). In conclusion, using a daily ZH dosage of 0.2 mg per kg of BW produced the best productive performance, carcass characteristics, and some changes in the meat of hair-breed lambs.
Effect of Ground Granulated Blast Slag(GGBS) on Characteristics of Concrete

Concrete in its various forms is probably the most widely used construction material in the world for construction works. The development of the construction industry at the global level needs more and more quantity of cement for construction works. But, the production of each one tone of cement clinker releases one tonne of carbon dioxide, which affects the earth's ecosystem. Thus, increasing the production of cement worldwide is aggravating the problems associated with its production kind use. The construction industry is now slowly becoming aware of the environmental issues and other sustainable development issues for cement and concrete industries. This paper emphasizes on effect of Ground Granulated Blast Slag (GGBS) on characteristics of concrete which is a recent advancement in the field of concrete. GGBS is carried out which is a by-product of the iron industry and also can be used as a replacement with ordinary Portland cement in concrete. Use of GGBS as cement replacement can simultaneously reduce the cost of concrete and help to reduce the rate of cement consumption and has rapidly drawn the attention of the concrete industry due to its cement saving, energy-saving, cost-saving, and environmental benefits. In this study cube specimens (150mm×150mm×150mm) are casted using 0%, 10%, 20%, 30%, 40%& 50% replacement of cement with GGBS to assess the compressive strength at 7th& 28th day for M40 grade concrete. Based on the results of this investigation, it is concluded that GGBS has the potential to replace cement in concrete as its physical properties are well within the range specified by IS 455:1989. Hence the can be safely used in the concrete composition. Keywords: Cement, Ground Granulated Blast Slag, Workability, Compressive Strength Test
APPLICATION OF XGBOOST ALGORITHM AND DEEP LEARNING TECHNIQUES FOR SEVERITY ASSESSMENT OF SOFTWARE DEFECT REPORTS

Software is present in every aspect of our everyday life, and defects are bound to be found during the testing of the software, no matter how small. It is therefore imperative for software testing engineers to assess the severity of software defects to allocate proper resources for the correction of the defects and prevent software crashes. In this paper, we have proposed the use of the Extreme Gradient Boosting Technique (XGBoost) and deep learning techniques: CNN (Convolutional Neural Network) and RNN (Recurrent Neural Network) to predict the severity of the defects occurring in the software. AUC and sensitivity are the metrics used to evaluate the results. All three techniques: XGBoost algorithm, CNN and RNN have performed really well in predicting the severities for all the defects. It has also been noted that XGBoost algorithm is the most efficient in predicting high severity defects, while the performance of deep learning techniques is excellent for the highest as well as the lowest severity defects. For the rest of the severity values, the performance of all the three classifiers is fairly consistent.
A dynamic multilevel ecological approach to drinking event modelling and intervention

Correspondence Danielle Madden, USC Suzanne DworakPeck School of Social Work, University of Southern California, Los Angeles, CA, USA. Email: dmadden@usc.edu Abstract The complex and dynamic interplay between an individual's psychophysiological processes and multilevel interactions with his/her group and environment during alcohol drinking events is analysed in this work. Our aim is to provide a system dynamics model to accurately represent a drinking event and provide guidelines for feedback-based behavioural interventions. We employ a pharmacodynamics model of alcohol metabolism, with a self-regulation approach of decision-making to characterize the individual's drinking behaviour. The nonlinearities introduced by the acute effects of alcohol in cognition, along with social perception and influence, complete the individual's model, which serves as a basis for the group and environment's behaviour models. A sensitivity analysis revealed that influenceability and overestimation via descriptive social norms are key drivers of higher blood alcohol content levels. Furthermore, simulations showed that intervening early in the event, before cognition processes are inhibited, and targeting groups of individuals result in efficient implementations.