Miracle-dz/UniFAR-FTUs huggingface dataset:
Vision-Based Formation Control of Mobile Robots With FOV Constraints and Unknown Feature Depth

In this the problem of leader-following tracking control of wheeled mobile robots with implicit communication through onboard visual sensing is addressed. New image-based visual servoing (IBVS) control schemes are proposed to ensure prescribed performance and the field-of-view (FOV) constraints in the absence of the feature depth information. First, the error transformation with predefined performance specifications is introduced for handling the visibility constraints. Then, in the setting of control of the uncertain system with unknown control coefficients, a Nussbaum gain adaptive controller and a static nonlinear gain controller are proposed without the need of feature depth information. Finally, both numerical simulations and physical experiments are presented to demonstrate the applicability and performance of the proposed control schemes.
Identification of antifungal compounds from slender amaranth

Background: Antifungal activity of slender amaranth (Amaranthus viridis L.) is well documented but such studies are scarce in Pakistan, especially against plant pathogens. It was hypothesized that A. viridis has antifungal activity against fungal phyto-pathogens also. Objective: Identification of antifungal constituents from leaf extracts of A. viridis. Methods: Different organic solvent extracts of A. viridis leaves were evaluated against 5 plant pathogenic fungal species viz. Alternaria alternata, Aspergillus flavus, Drechslera australiensis, Fusarium oxysporum and Macrophomina phaseolina. Antifungal activity of A. viridis was determined by serial dilution method. Six levels (0, 5, 10, 15, 20 and 25 mg mL-1) of treatments of each n-hexane, chloroform and ethyl acetate were employed against all fungal species in a Completely Randomised Design (CRD). Results: Generally, all organic solvent extracts reduced the fungal biomass significantly with the increase in extract concentration but ethyl acetate leaf fraction exhibited pronounced activity and reduced the fungal growth up to 44% in A. alternata, 39% in A. flavus, 48% in D. australiensis, 48% in F. oxysporum and 45% in M. phaseolina. Gas Chromatography Mass Spectrometry (GCMS) analysis of ethyl acetate leaf fraction revealed 09 compounds. Out of these 9 compounds, one compound identified as 1,2Benzenedicarboxylic acid, mono (2-ethylhexyl) ester) showed 58.5% peak value. Conclusions: It was concluded that 1,2Benzenedicarboxylic acid, mono (2-ethylhexyl) ester) being in the highest concentration in the ethyl acetate leaf fraction of A. viridis may be responsible for antifungal activity. This compound can serve as structural analog to develop ecofriendly fungicides.
Genetic Variability Study in Little Millet (Panicum miliare L.) Genotypes in Relation to Yield and Quality Traits

Little millet belongs to the family Poaceae, sub-family Panicoideae and the tribe Paniceae (Rachie, 1975). Little millet was domesticated in the Eastern Ghats of India occupying a major portion of diet amongst the tribal people and spread to Sri Lanka, Nepal, and Myanmar (De Wet et al.,). Little millet (Panicum miliare L.) is grown in India under various agroecological situations and commonly known as samai, samo, moraio, vari, kutki. India is well International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 06 (2018) Journal homepage: http://www.ijcmas. com
A −20 dBm Passive UHF RFID Tag IC With MTP NVM in 0.13-μm Standard CMOS Process

A fully integrated passive ultrahigh-frequency (UHF) RF identification (RFID) tag integrated circuit (IC) based on Chinese UHF RFID standard (GJB 7377.1) is proposed. An optimized voltage multiplier with threshold compensation and leakage current suppression is designed to improve the RF-DC power conversion efficiency, which is more than 58% for different load current. A system clock constraint condition and proposed digital baseband (BB) algorithm instead of clock calibration is introduced to ensure correct demodulation of the forward link from reader to tag and back link frequency (BLF) tolerance from tag to reader. Moreover, a 2Kb multi-time programmable (MTP) non-volatile memory (NVM) in standard CMOS process without any additional masks and process modification is designed and implemented to significantly save the manufacture cost of the chip. The proposed RFID tag IC is fabricated using a <inline-formula> <tex-math notation="LaTeX">$0.13-\mu \text{m}$ </tex-math></inline-formula> one-poly-five-metal (1P5M) standard CMOS process with an area of <inline-formula> <tex-math notation="LaTeX">$620\times 660\,\,\mu \text{m}^{2}$ </tex-math></inline-formula> and a power consumption of 4.8 <inline-formula> <tex-math notation="LaTeX">$\mu \text{W}$ </tex-math></inline-formula> and 11.5 <inline-formula> <tex-math notation="LaTeX">$\mu \text{W}$ </tex-math></inline-formula> for reading and writing operations, respectively. The tag with antenna gain of 2 dBi shows successful reading detection at distances up to 17 m in the case of 4 W Equivalent Isotropically Radiated Power (EIRP) from reader.
Interface Theory of Benzenoids: Basic Applications

We show that the recently introduced interface theory of benzenoids [Langner and Witek, MATCH Commun. Math. Comput. Chem. (2020)] can be readily applied to characterize various properties of benzenoids and their Clar covers. A carefully selected collection of examples demonstrates how to use interface theory for detecting non-Kekuléan or essentially disconnected character of benzenoids, computing their Clar numbers, constructing and enumerating their Kekulé structures and Clar covers, and determining their Zhang-Zhang polynomials. The exposition has rather pedagogical character and is supposed to familiarize the reader with the basic toolkit of the interface theory of benzenoids.
Interactive effects of temperature, carbon dioxide and watering regime on seed germinability of two genotypes of Arabidopsis thaliana

Abstract We examined the combined effects of temperature, carbon dioxide (CO2) and watering regime during seed maturation on subsequent germinability and total phenolics of Arabidopsis thaliana [wild-type (WT) and abi1-1 mutant] seeds. Mature seeds were collected from plants that were grown under lower (22/18°C, 16 h light and 8 h dark) or higher (28/24°C, 16 h light and 8 h dark) temperatures, at ambient (400 μmol mol–1) or elevated (700 μmol mol–1) CO2 concentration, and well-watered or water-stressed. Germinated and non-germinated (viable, rotten and empty) seed percentages, germination rate and total phenolics were determined for both genotypes. Higher maturation temperatures increased seed germination percentage, but decreased germination rate, percentage of rotten and non-germinated viable seeds, and total phenolics. Elevated CO2 increased seed total phenolics. Water stress decreased the percentage of non-germinated viable seeds. Neither of the two latter factors affected other measured parameters. Seeds of the abi1-1 mutant had higher total phenolics. The fate of seeds was mostly affected by higher temperatures and water stress. Also, seeds of the abi1-1 mutant had higher germination rate, empty seed percentage and total phenolics than seeds of the WT genotype. Germination percentage was highest for the WT seeds that matured on the water-stressed plants that were grown under higher temperatures at ambient CO2. It can be concluded that higher temperatures had highest effects on seed germinability and other parameters, and elevated CO2 did not alleviate the negative effects of higher temperatures on seed viability.
Essential oils of Cymbopogon citratus (DC.) Stapf, Cymbopogon nardus L. and Citrus sp: Insecticidal activity on the Pink Bollworm Pectinophora gossypiella Saunders (Lepidoptera; Gelechiidae) and prospects for cotton pest management in Côte d'Ivoire

In Cote d'Ivoire, the loss of cotton yield is mainly due to attacks caused by pest insects such as, the pink worm, Pectinophora gossypiella Saunders. For decades, the repeated use of chemical insecticides to control these pests has threatened the viability of the production system. Faced with the negative consequences linked to the use of synthetic chemicals, the search for alternative methods is essential. The objective of this study is therefore to evaluate the chemical properties and the insecticidal activity of essential oils extracted from Cymbopogon citratus, Cymbopogon nardus and Citrus sp on P. gossypiella. In the laboratory, nine concentrations (0.25; 0.50; 1; 2; 4; 8; 16; 32 and 64 %) for each of the three essential oils, with three replications, were tested by topical application method on adults of the pest using a micro-applicator. Results showed that the pest developed variable levels of sensitivity to those plant oils. The one extracted from C. citratus was the most toxic to P. gossypiella. The lethal concentrations (LC50 and LC90) measured were 1.67 and 4.07 % respectively. Furthermore, the results of the gas chromatography coupled mass spectrometry (GS/SM) analysis indicated that the essential oils of the three aromatic plants evaluated were strongly composed of monoterpenes (91.57-100 %). C. citratus extract was the richest in oxygenated monoterpenes (73.71 %) followed by C. nardus extract (46.59 %). The essential oil of C. citratus can be used rationally as an alternative option to chemical in the current cotton pest control program in Cote d’Ivoire.
Extent of the annual Gulf of Mexico hypoxic zone influences microbial community structure

Rich geochemical datasets generated over the past 30 years have provided fine-scale resolution on the northern Gulf of Mexico (nGOM) coastal hypoxic (≤ 2 mg of O2 L-1) zone. In contrast, little is known about microbial community structure and activity in the hypoxic zone despite the implication that microbial respiration is responsible for forming low dissolved oxygen (DO) conditioXSns. Here, we hypothesized that the extent of the hypoxic zone is a driver in determining microbial community structure, and in particular, the abundance of ammonia-oxidizing archaea (AOA). Samples collected across the shelf for two consecutive hypoxic seasons in July 2013 and 2014 were analyzed using 16S rRNA gene sequencing, oligotyping, microbial co-occurrence analysis and quantification of thaumarchaeal 16S rRNA and archaeal ammonia-monooxygenase (amoA) genes. In 2014 Thaumarchaeota were enriched and inversely correlated with DO while Cyanobacteria, Acidimicrobiia and Proteobacteria where more abundant in oxic samples compared to hypoxic. Oligotyping analysis of Nitrosopumilus 16S rRNA gene sequences revealed that one oligotype was significantly inversely correlated with dissolved oxygen (DO) in both years and that low DO concentrations, and the high Thaumarchaeota abundances, influenced microbial co-occurrence patterns. Taken together, the data demonstrated that the extent of hypoxic conditions could potentially influence patterns in microbial community structure, with two years of data revealing that the annual nGOM hypoxic zone is emerging as a low DO adapted AOA hotspot.
Stochastic Game in Linear Quadratic Gaussian Control for Wireless Networked Control Systems Under DoS Attacks

Recently, the security problem of wireless networked control systems (WNCSs) has become critical. In this article, we focus on strategies designing problem for sensor and denial-of-service (DoS) attacker in WNCS based on linear quadratic Gaussian (LQG) cost. In this scenario, a sensor measures the output of the system and transmits its local state estimate to the remote estimator via an unreliable channel which may suffer interference from an intelligent DoS attacker. In each step, the sensor demands to determine the power to transmit its packet data, at the same time, the attacker needs to determine the interference power to degrade the performance of the WNCS. To analyze this interactive decision-making process, we construct a two-player zero-sum stochastic game and propose an improved LQG cost considering energy-efficient factors. Then, for continuous power-level setting, we discuss the existence and the structure of equilibrium strategies of the sensor–attacker game. For a discrete power set, an algorithm is developed to solve equilibrium strategies for both players. Finally, we present an example to illustrate our results.
The mystery of high performance – mediation by entrepreneurial orientation and organizational citizenship behavior

The search for high performance is one of the leading themes in management science with a number of frameworks developed over the decades. The purpose of the paper is to investigate if the effect of high performance organization (HPO) characteristics has a direct effect on actual organizational performance or if the effect is mediated by organizational citizenship behavior (OCB) and entrepreneurial orientation (EO). Previous research states that the framework of HPO characteristics answers the question of ‘what’ high performers do, but does not answer the question of ‘how’ they do it, suggesting a mediating effect. The study attempts to establish which of the pair of OCB and EO (if any) has a stronger mediating effect. The hypotheses were tested using a cross-sectional research design with a random and representative sample of 406 enterprises. The research was carried out using the technique of personal interview (CAPI). Established scales were used to measure high performance indicators, organizational citizenship behavior, entrepreneurial orientation, and organizational performance. The conceptual framework with mediated effects was tested using a structural equations modeling approach. Research results indicate that there is a strong direct positive relationship between high performance indicators and organizational effectiveness. Moreover, there is a strong positive effect of high performance indicators on entrepreneurial orientation and organizational citizenship behavior. However, the effect of those two constructs on organizational effectiveness is rather weak, and, in the case of OCB, negative. That leads to the conclusion that the direct effect of high performance indicators is stronger, although the positive mediation by entrepreneurial orientation is statistically significant. The study contributes to the scientific debate in at least three ways. First, it confirms that high performance characteristics have a strong effect on actual performance. Second, it points to entrepreneurial orientation as a partial mediator in that relationship. Finally, it uncovers the very strong effect of high performance characteristics on organizational citizenship behavior. The research results also allow one to formulate practical recommendations. They mainly consider enhancing OCB, EO, and performance by skillful use of high performance factors. The study is novel in its approach to use OCB and entrepreneurial orientation as mediators in the effect of high performance characteristics on organizational performance, as no such attempts were made in the past.
Variations in oil, protein, fatty acids and vitamin E contents of pumpkin seeds under deficit irrigation

In the present study, pumpkin (Cucurbita Pepo L.) was grown under water stress to determine its effects on the chemical composition of the seeds (i.e., oil, protein, fatty acids and vitamin E), in Kayseri, Turkey. Irrigation treatments were designed to supply different portions of depleted moisture within the efficient root zone of the plants (60 cm). The treatments were arranged as supplying 100% (I100), 80% (I80), 60% (I60), 40% (I40), 20% (I20) and 0% (I0) of depleted moisture through a drip irrigation system. The effects of irrigation levels on the oil content of pumpkin seeds were found to be significant (p < 0.01). The oil contents of irrigation treatments varied between 26% (I0, dry) and 64% (I100, full irrigation). However, the effects of deficit irrigation on protein, fatty acids and vitamin E contents were not found to be significant. The vitamin E contents varied from 41.6 – 55.3 mg/100 g; while the protein contents varied from 28.5–37.7%. Six different fatty acids (linolenic, linoleic, oleic, stearic, palmitic and myristic acid) were examined. The average concentration of palmitic, stearic, oleic and linoleic acids ranged from 10.7–12.6%, 6.4–10.4%, 39.6–48.9% and 32.4–35%, respectively. Myristic and linolenic acids were not detected in the pumpkin seeds.
DPWord2Vec: Better Representation of Design Patterns in Semantics

With the plain text descriptions of design patterns, developers could better learn and understand the definitions and usage scenarios of design patterns. To facilitate the automatic usage of these descriptions, e.g., recommending design patterns by free-text queries, design patterns and natural languages should be adequately associated. Existing studies usually use texts in design pattern books as the representations of design patterns to calculate similarities with the queries. However, this way is problematic. Lots of information of design patterns may be absent from design pattern books and many words would be out of vocabulary due to the content limitation of these books. To overcome these issues, a more comprehensive method should be constructed to estimate the relatedness between design patterns and natural language words. Motivated by Word2Vec, in this study, we propose DPWord2Vec that embeds design patterns and natural language words into vectors simultaneously. We first build a corpus containing more than 400 thousand documents extracted from design pattern books, Wikipedia, and Stack Overflow. Next, we redefine the concept of context window to associate design patterns with words. Then, the design pattern and word vector representations are learnt by leveraging an advanced word embedding method. The learnt design pattern and word vectors can be universally used in textual description based design pattern tasks. An evaluation shows that DPWord2Vec outperforms the baseline algorithms by 24.2-120.9 percent in measuring the similarities between design patterns and words in terms of Spearman’s rank correlation coefficient. Moreover, we adopt DPWord2Vec on two typical design pattern tasks. In the design pattern tag recommendation task, the DPWord2Vec-based method outperforms two state-of-the-art algorithms by 6.6 and 32.7 percent respectively when considering <inline-formula><tex-math notation="LaTeX">$Recall@10$</tex-math><alternatives><mml:math><mml:mrow><mml:mi>R</mml:mi><mml:mi>e</mml:mi><mml:mi>c</mml:mi><mml:mi>a</mml:mi><mml:mi>l</mml:mi><mml:mi>l</mml:mi><mml:mo>@</mml:mo><mml:mn>10</mml:mn></mml:mrow></mml:math><inline-graphic xlink:href="jiang-ieq1-3017336.gif"/></alternatives></inline-formula>. In the design pattern selection task, DPWord2Vec improves the existing methods by 6.5-70.7 percent in terms of MRR.
The Soft Vertex Classification for Active Module Identification Problem

Motivation Integrative network methods are commonly used for interpretation of high-throughput experimental biological data: transcriptomics, proteomics, metabolomics and others. One of the common approaches consists in finding a connected subnetwork of a global interaction network that best encompasses significant individual changes in the data and represents a so-called active module. Usually methods implementing this approach find a single subnetwork and thus solve a hard classification problem for vertices. This subnetwork inherently contains erroneous vertices, while no instrument is provided to estimate the confidence level of any particular vertex inclusion. To address this issue, in the current study we consider the active module problem as a soft classification problem. We propose a method to estimate probabilities of each vertex to belong to the active module based on Markov chain Monte Carlo subnetwork sampling. Results The proposed method allows to estimate the probability that an individual vertex belongs to the active module as well as the false discovery rate (FDR) for a given set of vertices. Given the estimated probabilities, it becomes possible to provide a connected subgraph in a consistent manner for any given FDR level: no vertex can disappear when the FDR level is relaxed. We show on simulated dataset that the proposed method has good computational performance and high classification accuracy. As an example of the performance of our method on real data, we run it on a protein-protein interaction network together with a gene expression DLBCL dataset. The results are consistent with the previous studies while, at the same time, the proposed approach is more flexible. Source code is available at https://github.com/ctlab/mcmcRanking under MIT licence.
Trade Liberalization and SO2 Emissions: Firm-Level Evidence from China’s WTO Entry

Is trade liberalization contributing to cleaner production amongst manufacturing firms? Theoretical predictions and empirical evidences are mixed. This study utilizes China's dual trade regime and China's WTO entry in 2001 to construct a unique micro dataset on manufacturing firms for China for the period 2000-2007, and performs a difference-in-difference estimation strategy to directly examine this issue. Specifically, normal exporters that saw tariff changes during the same period form the treatment group; while processing exporters that enjoy tariff-exemptions both pre- and post-WTO entry serve as the control group. Results show that China's WTO entry contributed to a lower SO2 emission intensity for normal exporting firms. We further examine the mechanism and show that the productivity channel accounted for the observed pattern. Specifically, more efficient normal exporters saw greater decline of SO2 emission intensity than average normal exporters. This study contributes to a better understanding of the impact of trade on the environment, especially in developing countries. It also complements the literature in terms of providing China's micro evidence on the impact of trade liberalization on firm's environmental performance.
The Effect of Transformational Leadership and Competence on Employee Performance with Job Satisfaction as Intervening Variable

TThis study aims to see and determine the effect of transformational leadership and competence of PT Waruna Shipyard Indonesia on employee performance through job satisfaction as intervening variable. This research was conducted at PT. Waruna Shipyard Indonesia, located on Bagan Deli Street, Medan Belawan District, North Sumatra. This research was conducted of the month of August 2019-January 2020. The data analysis tool by structural equation modeling (SEM) with smartpls program. The population is employees at PT. Waruna Shipyard Indonesia in 2019, namely as many as 134 employees. This study used slovin formula for the sampling, calculations sample were respondents is 100 permanent employees of PT. Waruna Shipyard Indonesia. Thus taken 30 respondents outside of the sample to validity and reliability test instrument for testing questionnaires. Based on structural equation modeling (SEM) analysis, transformational leadership and competence have positive and significant effect on employee performance with job satisfaction as intervening variable at PT. Waruna Shipyard Indonesia. The contribution of transformational leadership, competence, and job satisfaction explains the employee performance variable of 0.724 or 72.40%. The remaining 0.276 or 27.60% is effect by other independent variables not examined in this study. In effect, it could be said that size of Nigerian financial system is small. So, we recommend that government should enable institutional environment that foster relationship between authorities of fiscal and monetary policies.