Miracle-dz/UniFAR-FTUs huggingface dataset:
Event-triggered dissipative filtering of fuzzy nonlinear dynamic systems

This paper focuses on the event-triggered dissipative reduced-order filter design problem for continuous-time Takagi-Sugeno (T-S) fuzzy systems. Firstly, the sufficient conditions are given to ensure the concerned filtering error system is asymptotic stability with (X, Y, Z)-θ-dissipative performance by utilizing the reciprocally convex approach and a novel Lyapunov-Krasovskii function. Afterwards, the relevant solvable conditions of the fuzzy-rule-dependent reduced-order filter are established which transform the desired reduced-order filter design into a solvable convex optimization problem by the means of employing the convex linearization method. Finally, a numerical example is given to demonstrate the applicability and validity of the proposed dissipative-based reduced-order filter design technique.
CURRENT TREND IN NAMING BABIES IN JAVANESE COMMUNITY

The process of naming newborn babies is inseparable from the culture where they belong. Among Javanese people, there is a change of trends in naming babies. As western, noble, and religion associated names, such as Amelia, Gupita, Arsyad, gain popularity, modest and old-fashioned names, such as Tugino and Pariyem disappear. This paper discusses the trend in the naming of babies in Javanese community at the present time. Three theories are employed in the analysis. I will apply Saussurean Semiology and Bathesian Semiology and try to relate them to Stuart Hall's Theory of Identity. As a name is just an element of cultural identities, changing trends in naming in Javanese culture does not entirely change their identity as Javanese people.DOI: https://doi.org/10.24071/ijhs.2017. 010107
Optimization of DNA Extraction from Individual Sand Flies for PCR Amplification

Numerous protocols have been published for extracting DNA from phlebotomines. Nevertheless, their small size is generally an issue in terms of yield, efficiency, and purity, for large-scale individual sand fly DNA extractions when using traditional methods. Even though this can be circumvented with commercial kits, these are generally cost-prohibitive for developing countries. We encountered these limitations when analyzing field-collected Lutzomyia spp. by polymerase chain reaction (PCR) and, for this reason, we evaluated various modifications on a previously published protocol, the most significant of which was a different lysis buffer that contained Ca2+ (buffer TESCa). This ion protects proteinase K against autolysis, increases its thermal stability, and could have a regulatory function for its substrate-binding site. Individual sand fly DNA extraction success was confirmed by amplification reactions using internal control primers that amplify a fragment of the cacophony gene. To the best of our knowledge, this is the first time a lysis buffer containing Ca2+ has been reported for the extraction of DNA from sand flies.
Special Education Teachers' Views On Using Technology In Teaching Mathematics

Individuals with special needs require support in acquiring various academic and social skills and mathematical skills are one of the most important skills in which individuals with special needs need to acquire in order to maintain their daily lives. Current approaches in education emphasize the importance of integrating technology into special education classrooms in order to increase achievement and facilitate learning and various technological tools are used in teaching mathematics to individuals with special needs. Therefore, special education teachers need to be competent in using technology in teaching mathematics and aim of this study is to determine the views and recommendations of special education teachers on technology use in teaching mathematics to students with special needs. Qualitative research method was used in the study. A total number of 15 special education teachers working at special education institutions in North Cyprus participated in the study. A semi-structured interview form developed by the researchers was used to collect the data. Data of the study were analyzed using content analysis method through constituting themes based on the answers of special education teachers. According to the results, special education teachers think that they are competent in using technology in teaching mathematics. Results are provided and discussed with reference to relevant literature. Finally, implications for special education practices and recommendations for further research are also presented.
Probabilistic linkage of national immunisation and state-based health records for a cohort of 1.9 million births to evaluate Australia's childhood immunisation program.

Introduction Several countries have developed national immunisation registers, but only the Nordic countries have linked their registers to other health data in order to comprehensively evaluate the `real world' effectiveness of vaccines. Nordic countries can link datasets deterministically using the national person identifier, but most countries, including Australia, don't have such an identifier to enable this type of linkage. Objectives To describe the process for assembling a linked study cohort that will enable the conduct of population-based studies related to immunisation and immunisation policy. Methods National death and immunisation databases along with state health data (notifications of vaccine preventable diseases, perinatal data, hospital admissions and emergency department presentations) up until December 2013 were probabilistically linked (using demographic details) for children born between 1996 and 2012 in two states: Western Australia and New South Wales (42% of Australia's population, combined). Results After exclusions there were 1.95 million children in the study cohort (live born children with both a birth and perinatal record which represents 97.5% of all live births in the state perinatal data collections - our source population) and 18.0 million person years of follow up (mean: 9.2 years per child). The characteristics of children in the cohort were generally similar to those only included in state perinatal databases and outcome measures were in keeping with expected figures from unlinked data sources. However, the lack of a dynamic national population register meant immigrants could not be included. Conclusions We have been able to develop a similarly comprehensive system to the Nordic countries based on probabilistic linkage methods. Our experience should provide encouragement to other countries with national immunisation registers looking to establish similar systems.
Effect of Body Condition Score on Milk Production, Milk Composition and Reproductive Performance of Lactating Murrah Buffaloes

1 Department of Livestock Production Management, 3 Department of Animal Nutrition, College of Veterinary Science & Animal Husbandry, Nanaji Deshmukh Veterinary Science University, Jabalpur-482001, Madhya Pradesh, India 2 Nanaji Deshmukh Veterinary Science University, Jabalpur-482001, Madhya Pradesh, India 4 College of Veterinary Science & Animal Husbandry, Nanaji Deshmukh Veterinary Science University, Jabalpur-482001, Madhya Pradesh, India
A Novel Topical Ophthalmic Formulation to Mitigate Acute Mustard Gas Keratopathy In Vivo: A Pilot Study

Purpose This pilot study investigated the in vivo therapeutic potential and tolerability of a multimodal ophthalmic formulation, topical eye drops (TED), for acute mustard gas keratopathy (MGK) using a rabbit model. Methods Twenty New Zealand White rabbits were used. Only right eyes of 18 rabbits (oculus dexter [OD]) received single sulfur mustard gas (SM) vapor injury, whereas contralateral eyes were left untreated or received TED for tolerabilty evaluation. Two rabbit eyes received no treatment and served as age-matched naive control. The four groups were: Naive (oculus sinister [OS] untreated eyes; n = 9); TED (OS treated only with TED BID for 3 days; n = 9); SM (OD exposed to SM vapor; n = 9); and SM+TED (OD exposed to SM+TED BID for 3 days; n = 9). Ocular examination in live rabbits were performed utilizing slit-lamp biomicroscopy, Fantes grading system, fluorescein staining, Schirmer's tests, pachymetry, and applanation tonometry. Cellular and molecular changes in rabbit corneas were assessed after humane euthanasia on day-3 and day-7 with histopathological and real-time polymerase chain reaction PCR techniques. Results TED to rabbit eyes was found tolerable in vivo. SM-exposed eyes showed significant increase in Fantes scores, central corneal thickness (CCT), Schirmer's test, epithelium-stroma separation, and corneal edema. TED mitigated clinical symptoms by reducing corneal edema, Fantes scores, CCT, and Schirmer's test. Further, TED decreased SM-induced corneal haze, inflammatory and profibrotic markers, transforming growth factor–TGF-β1 and cyclooxygenase-2COX-2, and damage to corneal structure, including epithelial-stromal integrity. Conclusions The developed multimodal eyedrop formulation, TED, has potential to mitigate acute MGK effectively in vivo. Translational Relevance TED is effective against MGK
On wake modeling, wind-farm gradients and AEP predictions at the Anholt wind farm

Abstract. We investigate wake effects at the Anholt offshore wind farm in Denmark, which is a farm experiencing strong horizontal wind-speed gradients because of its size and proximity to land. Mesoscale model simulations are used to study the horizontal wind-speed gradients over the wind farm. From analysis of the mesoscale simulations and supervisory control and data acquisition (SCADA), we show that for westerly flow in particular, there is a clear horizontal wind-speed gradient over the wind farm. We also use the mesoscale simulations to derive the undisturbed inflow conditions that are coupled with three commonly used wake models: two engineering approaches (the Park and G. C. Larsen models) and a linearized Reynolds-averaged Navier–Stokes approach (Fuga). The effect of the horizontal wind-speed gradient on annual energy production estimates is not found to be critical compared to estimates from both the average undisturbed wind climate of all turbines' positions and the undisturbed wind climate of a position in the middle of the wind farm. However, annual energy production estimates can largely differ when using wind climates at positions that are strongly influenced by the horizontal wind-speed gradient. When looking at westerly flow wake cases, where the impact of the horizontal wind-speed gradient on the power of the undisturbed turbines is largest, the wake models agree with the SCADA fairly well; when looking at a southerly flow case, where the wake losses are highest, the wake models tend to underestimate the wake loss. With the mesoscale-wake model setup, we are also able to estimate the capacity factor of the wind farm rather well when compared to that derived from the SCADA. Finally, we estimate the uncertainty of the wake models by bootstrapping the SCADA. The models tend to underestimate the wake losses (the median relative model error is 8.75 %) and the engineering wake models are as uncertain as Fuga. These results are specific for this wind farm, the available dataset, and the derived inflow conditions.
Semantic segmentation of mechanical parts based on fully convolutional network

Machine vision detection and recognition technology has a wide range of advantages such as non-contact, real-time online, fast, strong anti-interference ability. This technology has been used to achieve zero inferior parts production of mechanical parts, to meet the requirements of modern manufacturing progress and development. In the actual production it shows a broad application prospects. In this paper, we apply the Fully Convolutional Networks (FCN) method to the robot vision system for mechanical part inspection. We found that the use of FCN can make the classification accuracy quickly reach a stable value, thus greatly reducing the training time. The proposed method is based on (1)our own database is collected on an industrial conveyor belt, which contains 2248 images of various types of parts with different sizes, (2) Fully Convolutional Networks(FCN) is trained by using back-propagation algorithm to extract valuable features from input training data, and realized pixel-level semantic classification on the validation images.
Optimal R&D investment with learning‐by‐doing: Multiple steady states and thresholds

In this paper, we present an intertemporal optimization problem of a representative R&D firm that simultaneously invests in horizontal and vertical innovations. We posit that learning‐by‐doing makes the process of quality improvements a positive function of the number of existing technologies with the function displaying a convex‐concave form. We show that multiple steady states can arise with 2 being saddle point stable and 1 unstable with complex conjugate eigenvalues. Thus, a threshold with respect to the variety of technologies exists that separates the 2 basins of attractions. From an economic point of view, this implies that a lock‐in effect can occur such that it is optimal for the firm to produce only few technologies at a low quality when the initial number of technologies falls short of the threshold. Hence, history matters as concerns the state of development implying that past investments and innovations determine whether the firm produces a large or a small variety of high‐ or low‐quality technologies, respectively.
A gas ultrasonic flowmeter for low pressure applications

Compared to high pressure gas medium, the signal attenuation in low pressure gas is more serious with low Signal Noise Rate. So the gas flow measurement is more difficult. In order to solve the problem, a ultrasonic gas flow meter with transit time method is presented. The flow measurement model has been derived to reduce the affection of temperature and pressure on ultrasonic sensors and circuits. The method of multipulse driving and digital Automatic Gain Circuit (AGC) are proposed to obtain stable echo waves. The comparator circuit is designed and a noise filtering method is designed to stabilize the transit time measurement result. The time measurement circuit adopts chip TDC-GP22 and the microchip adopts MSP430F448. Finally, the gas flow meter is tested in the standard device. The experimental results show that the accuracy class is 1.5 level and the turndown ratio is 60:1.
China's GDP Growth May be Understated

Concerns about the quality of China’s official GDP statistics have been a perennial question in understanding its economic dynamics. We use data on satellite-recorded nighttime lights as an independent benchmark for comparing various published indicators of the state of the Chinese economy. Using the methodology of Pinkovskiy and Sala-i-Martin (2016a and b), we exploit nighttime lights to compute the optimal weights for various Chinese economic indicators in a best unbiased predictor of Chinese growth rates. Our computations of Chinese growth based on optimal weightings of various combinations of economic indicators provide evidence against the hypothesis that the Chinese economy contracted precipitously in late 2015, and are consistent with the rate of Chinese growth being higher than is reported in the official statistics.
Peculiarities of aromatic composition of three wines made from white grape varieties selected in Moldova

Wine is one of the most complex alcoholic beverages, and its aroma substances are responsible for much of this complexity. Wine flavor can be classified into three groups: varietal, fermentative and wine ageing aroma. Describing the aroma of wines is not a simple task for researchers, because more than 800 aroma compounds such as alcohols, esters organic acids, aldehydes, ethers, ketones and terpenes, etc., have been identified in them, with a wide concentration range varying between hundreds of mg/L to the μg/L or ng/L levels, and their combinations form the character of wine and differentiates one wine from another [1]. The gas chromatography-olfactometry (GC-O) is an analytical method that combines the gas chromatography and sensory evaluation, using the human nose to assess odor components. The human nose has odor detection limit of about 10 moles [2], therefore GC-O is an extremely valuable and sensitive tool for odor detection.
An optimized power terminal communication access network planning based on hierarchical genetic algorithm

Power terminal communication access network (PTCAN) is an important network for smart grid applications due to its ability of monitoring and remotely controlling smart power distribution devices and carrying the consumer information. In this paper, a hierarchical genetic algorithm is proposed to plan and optimize the Industrial Ethernet based PTCAN. The key idea of the algorithm is to transform the tree-form topology of power distribution network to a ring-form topology of PTCAN. A depth-first pre-order traversal based chromosome initialization method is raised in this paper and a hierarchical planning scheme is proposed to simplified the algorithm complexity. Corresponding evaluation and selection function, crossover and mutation method are designed and described in detail. At last, a simulation is performed, the result shows our algorithm is fully feasible and has advantages of faster convergence rate and better performance.
DETERMINAÇÃO DE COMPOSTOS FENÓLICOS POR LC-MS/MS E CAPACIDADE ANTIOXIDANTE DE ACEROLA EM TRÊS ESTÁDIOS DE MATURAÇÃO COMESTÍVEIS

Os frutos de acerola sao reconhecidos principalmente por sua composicao rica em vitamina C, no entanto, estes frutos apresentam outros compostos fitoquimicos responsaveis pela sua capacidade antioxidante, entre eles os compostos fenolicos. Neste sentido, este trabalho objetivou investigar compostos fenolicos por cromatografia liquida acoplada a espectrometria de massas (LC-MS/MS) e avaliar a capacidade antioxidante em frutos de acerola em tres estadios de maturacao comestiveis. Foram avaliados 33 compostos fenolicos, e destes, 16 foram quantificados, sendo os compostos majoritarios a quercetina, acido cafeico, kaempferol e isoramnetina. Os resultados para a capacidade antioxidante pelo o ensaio DPPH foram de 1117,71, 1120,40 e 963,26 mg Trolox g -1 em materia seca para os frutos menos maduro, maduro e completamente maduro, respectivamente; e pelo ensaio FRAP, os valores foram de 400,87, 508,24 e 341,19 µmol Trolox g -1 em materia seca para os frutos menos maduro, maduro e completamente maduro, respectivamente. Foi possivel observar que o processo de maturacao influenciou significativamente a concentracao da maioria dos compostos fenolicos investigados bem como a capacidade antioxidante nos frutos de acerola, ocorrendo, de maneira geral, uma tendencia de diminuicao nestes teores com o avanco da maturacao. No entanto, os resultados encontrados podem ser considerados expressivos sugerindo que os tres estadios de maturacao avaliados podem contribuir na ingestao diaria de antioxidante naturais
Strategies for C-14 Dating the Oxtotitlan Cave Paintings, Guerrero, Mexicofor C-14 Dating the Oxtotitlan Cave Paintings, Guerrero, Mexico

Oxtotitlan Cave paintings have been considered among the earliest in Mesoamerica on stylistic grounds, but confirmation of this hypothesis through absolute dating has not been attempted until now. We describe the application of advanced radiocarbon strategies developed for situations such as caves with high carbon backgrounds. Using a low-temperature plasma oxidation system, we dated both the ancient paint and the biogenic rock coatings that cover the paint layers at Oxtotitlan. Our research has significantly expanded the time frame for the production of polychrome rock paintings encompassing the Early Formative and Late Formative/Early Classic periods, statistically spanning a long era from before ca. 1500 cal B.C. to cal A.D. 600.
Development of monograph and study of variation in chemical constituent of plant Balanites roxburghii

The term "Monographia" is derived from the Greek word "mono" (single) and grapho (to write), meaning "writing on a single subject". Unlike a textbook, which surveys the state of knowledge in a field, the main purpose of a monograph is to present primary research and original scholarship. The difficulty associated with development of herbal monograph is that the availability of huge diversity related herbal plant. For this study sample was collected from three different places at different seasons i.e. rainy season winter season, summer season. This parameters was studied, macroscopic, microscopic study, organoleptic evaluation, phytochemical tests, chemical variation study was done, alkaloids, flavonoids, glycosides, saponins.
FPGA Based Pattern Generation and Synchonization for High Speed Structured Light 3D Camera

Recently, structured light 3D imaging devices have gained a keen attention due to their potential applications to robotics, industrial manufacturing and medical imaging. Most of these applications require high 3D precision yet high speed in image capturing for hard and/or soft real time environments. This paper presents a method of high speed image capturing for structured light 3D imaging sensors with FPGA based structured light pattern generation and projector-camera synchronization. Suggested setup reduces the time for pattern projection and camera triggering to 16msec from 100msec that should be required by conventional methods.
Virus-induced gene silencing in Nicotiana benthamiana triggered by heterologous gene sequences from Viola philippica

Virus-induced gene silencing (VIGS) is a particularly useful tool for functional genomics. In the present study, we attempted to utilize this technology to infer the function of genes from Viola philippica using a tobacco rattle virus (TRV) construct. Firstly, the phytoene desaturase gene from V. philippica (VpPDS) was silenced, and local leaf bleaching was observed but did not exhibit systemic effects, thereby limiting utilization of TRV-mediated gene silencing in the recipient plant. However, we observed systemic gene silencing in Nicotiana benthamiana when the VpPDS sequence was used as a trigger, thereby suggesting that heterologous gene sequences could elicit gene silencing. We then investigated the role of gene PISTILLATA from V. philippica (VpPI) of the B-class MADS-box gene family, which regulates the identity and development of stamens and petals. Using the coding region of VpPI as triggers, we determined the gene silencing efficiency of the corresponding GLOBOSA paralogs in N. benthamiana (NbGLO1 and NbGLO2), and we observed stamen-to-carpel transformation and distorted corollas in N. benthamiana suggesting that VpPI functioned as the NbGLO gene. However, the 3'-untranslated region (3'UTR) of VpPI and each 3'UTR of the NbGLO genes downregulated its own corresponding gene, hardly producing floral homeotic alterations. This work provides a better understanding of gene-specific probe design for gene silencing as well as shows that heterologous sequence-triggered VIGS is an efficient way to investigate functional conservation of orthologous genes.