Miracle-dz/UniFAR-FTUs huggingface dataset:
Fault Detection Filtering Design for Discrete-Time Interval Type-2 T–S Fuzzy Systems in Finite Frequency Domain

This article focuses on the problem of fault detection filtering design for discrete-time interval type-2 Takagi–Sugeno (T–S) fuzzy systems in finite frequency domain. Considering the fact that external disturbances and faults are usually reside in finite frequency ranges, the finite frequency <inline-formula><tex-math notation="LaTeX">$\mathscr H_{\infty }$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$\mathscr H_{-}$</tex-math></inline-formula> performances are introduced to reflect the disturbance robustness and fault sensitiveness in finite frequency domain, respectively. Based on discrete-time Fourier transform and its properties, finite frequency performance analysis results are first obtained. Then, by exploiting the information on upper and lower membership functions, the membership-function-dependent filtering design conditions in the form of linear matrix inequalities are established for discrete-time interval type-2 T–S fuzzy systems in finite frequency domain. With the obtained filter, a fault detection scheme is then proposed and it is shown that the resulting fault detection system is asymptotically stable with prescribed finite frequency <inline-formula><tex-math notation="LaTeX">$\mathscr H_{\infty }$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$\mathscr H_{-}$</tex-math></inline-formula> performances. Finally, the effectiveness of the proposed method is validated by simulation studies.
Overview of past, current, and future ecosystem and biodiversity trends of inland saline lakes of Europe and Central Asia

ABSTRACT This review of trends in inland saline lakes of Europe and Central Asia is based on the relevant section of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) Regional Assessment Report for Europe and Central Asia (ECA). We assessed the present status of ECA saline lakes and the effects of direct drivers (climate change, land use, pollution, resource exploitation, invasive species) on ecosystem health and biodiversity. We also assessed past, current and future trends using habitat area and degradation, species richness, and endangered species as indicators. No uniform scenario is applicable to saline lakes in the region. The desiccation of the Aral Sea is caused mainly by land use change and water extraction. In the Caspian Sea, river modifications, water pollution, overfishing and poaching, and species invasions have led to a decrease in species richness and have threatened endemic species. Although trends for smaller saline lakes vary, our analysis demonstrates that land use change, over-exploitation, and pollution are more important direct drivers of ecosystem health and biodiversity than climate change. The establishment of baseline biodiversity values for saline lakes is, however, complicated because biodiversity and the food-web structure are variable and depend strongly on salinity. Thus, there is a need to classify the ecological quality, biodiversity and ecosystem services of saline lakes along a salinity gradient. The improvement of water management and reuse of water, conservation measures, and introduction of climate-smart agriculture are basic conditions for the sustainable use of saline lakes in the region.
Features of the formation and monitoring of the microclimate in non-insulated barns: unresolved issues

Modern non-insulated barns (NB) for free-stall housing of dairy cows differ from traditional (typical) capital buildings. The formation of the microclimate in such farms is significantly dependent on the state of the environment and their design features. The aim of the work was to give a review of the literature and the results of our own research on creating comfortable conditions for dairy cows in the NB. Our studies indicate the heterogeneity of the microclimate formation in different parts of the NB, which was largely due to the state of the external environment. The use of only natural ventilation through open side curtains and light ridges, as well as additional mechanical ventilation (due to horizontal axial fans) cannot always provide comfortable conditions for animals, especially in hot periods of the year. The literature analysis showed that this can be caused by factors affecting the formation and movement of air masses in the building itself (depending on the number of animals, the condition of the litter, the operation of internal equipment, including space-planning and design features, type and quality of materials of enclosing structures) as well as the weather conditions outside buildings (temperature, humidity, wind strength and also relief). Investigations related to remote methods of microclimate control (using appropriate portable devices) and identification of (critical) control points of deterioration of the air environment in NBs will be promising. Monitoring of them will allow timely to adopt the necessary management decisions for ensuring the comfort of dairy cows in extreme weather conditions. Climate prediction methods based on meteorological data in the area of the NB location and the development of intelligent ventilation systems using mathematical modeling that take into account the behavioral and physiological responses of animals to environmental changes will be especially in monitoring systems, forecasting and normalization of the air environment in NB taking into account the biological characteristics of animals.
Microbiological Study on Nosocomial Acinetobacter baumannii Infection with Molecular Characterization of Metallo Beta- Lactamases

Acinetobacter baumannii is a nosocomial pathogen which the World Health OrganizationI s considered number one critical priority pathogen. It has become a growing problem in hospitals as a predominant multi-drug resistant that left clinicians with limited treatment options. Its main mechanisms for β-lactam resistance are the production of carbapenems especially Amber class D β-lactamases followed by B β-lactamases. NDM-1 which is an example of the later poses a major health concern particularly in the light of its spread through population. To precede our study, 74 Acinetobacter baumannii isolates were collected from hospital laboratories during the period from July 2017 till June 2018. Antimicrobial susceptibility testing was done by Kirby-Bauer Disc Diffusion method (KBDD) and Minimum Inhibitory Concentration (MIC) was detected using E-test method. CRAB ones were tested by both of Modified Hodge Test (MHT) and Imipenem EDTA Combined Disc Test (CDT) to detect metallo βeta-lactams (MBL) producers. Then existence of NDM-1 gene was further identified. All of the 74 Acinetobacter baumannii isolates were found to be multi-drug resistant (MDR). 36 of them (48.65%) were resulted as carbapenem resistant and 27 (36.49%) were metallo βeta-lactams (MBL) producers. 12/27 (44.44%) MBL poses NDM-1 gene in the first detection procedure while the other negative 15 ones the percentage of NDM-1 was found to be 10/15 (66.67%) when using different primer. PCR products were then verified by DNA sequencing. The final consensus sequences were analyzed and submitted to NCBI GenBank data base, representing accession numbers are JF838352.1, MK682768.1 and MN251667.1. The alignments showed similarity ranged from 94%-96.4% amino acids identity. We concluded that detection of antibiotic resistant Acinetobacter baumannii revealed that multi-drug resistance arises dramatically due to the indiscriminate use of antibiotics and the poor applying of infection control precautions. These results emphasize the importance of implementation and comply both of antibiotic and infection control policies.
Nonlinear Suboptimal Guidance Law With Impact Angle Constraint: An SDRE-Based Approach

In this article, a guidance law with impact angle constraint is developed using the state-dependent Riccati equation (SDRE) technique. First, the nonlinear guidance dynamics consisting of line-of-sight (LOS) angle rate and error is formulated under a planar engagement scenario. After the state-dependent coefficient parameterization, a nonlinear regulator problem is formed to concurrently zero LOS angle rate and error. Second, a preliminary guidance law is directly developed under the framework of the SDRE technique. By applying the Lyapunov stability analysis, a nonlinear suboptimal guidance law is obtained through further parameter modifications. Then, the proposed guidance law is extended to attack maneuvering targets. Finally, the effectiveness of the proposed guidance law is demonstrated through numerical simulations.
Correlation and path analysis in recombinant inbred lines (RILs) of wheat (Trticum aestivum L.)

Correlation and path coefficient analysis were studied in 22 heat tolerant Recombinant Inbred Lines (RILs) of wheat. Analysis of variance revealed the significant difference among genotypes for all the characters. Suggested that there was ample scope for selection of promising RILs for yield improvement. A wide range of variability was exhibited by most of the traits. The results of correlation studies indicated that genotypic correlation coefficients were higher in magnitude than their corresponding phenotypic correlation coefficients for all the traits which indicated that association among these characters was under genetic control and indicating the preponderance of genetic variance in expression of characters. Grain yield per plant had high, significant and positive association with number of grains per spike, spike weight, spike length, canopy temperature depression, tillers per plant, grain filling period and chlorophyll content both at genotypic and phenotypic levels indicating that these traits were main yield attributing traits. Path analysis revealed that grains per spike, tillers per plant, spike length, had the highest positive direct effect on grain yield followed by flag leaf length, flag leaf width, days 50% heading, plant height, grain filling period, membrane stability and days to maturity at genotypic level. The selection of characters such as grains per spike, tillers per plant, spike length and spike weight would be helpful for further improvement in RILs of wheat.
Relationship Between Risk Management Disclosures and Financial Performance of Listed Companies in Thailand

The study aimed to investigate the extent and level of risk management disclosures of listed companies in the Stock Exchange of Thailand (SET), and to examine the relationship between risk management disclosures and financial performance. Using quota sampling, 160 firms were used as the samples. Content analysis by word counting was used to quantify risk management disclosures in corporate annual reports during 2017 to 2019, while financial performance and corporate characteristics were collected from samples’ websites. Descriptive analysis, correlation matrix, and panel data analysis by pooled OLS regression were used to analyze data. As the results, the study found that the average level of risk management disclosures in annual reports of Thai listed companies during 2017 to 2019 were 2226.11 words. In more details, operational risk management disclosure was the most common disclosure following by following by financial risk, legal and regulatory risk, contingency risk, and major shareholder risk. Moreover, the study found the positive relationship between major shareholder risk management disclosure and financial performance, while financial risk management disclosure had negative influenced on financial performance. The study demonstrated agency theory that can be used to explain risk management disclosures in Thailand where the disclosures were not mandatory reporting yet.
EMI teacher training with a multimodal and interactive approach: A new horizon for LSP specialists

Teresa MorellUniversitat d’Alacant, Spain ABSTRACT El creixent us de l’angles com a mitja d’instruccio (EMI, per les seves sigles angleses) a les aules universitaries no anglofones ha proporcionat als especialistes en angles per a fins especifics (AFE) una major perspectiva d’investigacio y docencia. Als experts en AFE se’ls demana investigacio per millorar la formacio en EMI i, alhora, que formin als formadors que canvien la seva llengua vehicular de l’aula a l’angles. En aquest estudi, una professional de l’AFE explora en que consisteix una llico interactiva eficac segons els participants del seu taller interdisciplinari per a la formacio del professorat en EMI. La investigacio s’ha portat a terme per mitja de l’analisi del discurs verbal, no verbal i interactiu a les gravacions audiovisuals de les mini-llicons seleccionades com les millors entre els participants del curs. Els resultats indiquen que les mini-llicons mes apreciades van fer major us de preguntes i modes verbals i no verbals de comunicacio que les menys valorades. En consequencia, els resultats suporten a la formacio en EMI amb un enfocament interactiu i multimodal.
Different levels of fertigation, growth regulators and their interaction effects on floral characters of rose cultivars under polyhouse condition

Increased concentration of gibberellic acid combined with 120 percent of recommended dose of fertilizers as fertigation significantly increased the number of petals per flower, bud diameter, bud length and mean weight of flower respectively. Though all the varieties positively responded for the treatments but variety Grand gala produced significantly superior quality of flower when plants were treated with 120 per cent of fertigation in combination with 300 ppm of GA3.
Composicao da biocenose e abundancia relativa de peixes capturados com covos nos Estados do Rio Grande do Norte e Pernambuco (Brasil)

The estimation of fishing effort and yield, in order to determine the biocenosis structure and relative abundance of trap-caught fish, makes up a routine procedure in the project "Biology and fishing for spotted goatfish, Pseudupeneus maculatus (Bloch, 1793) on the continental shelf of Rio Grande do Norte, Paraiba and Pernambuco States, Brazil". Fishing effort and yield were measured through the control of landings made by 36 fishing boats in Barra de Maxaranguape/RN and Itamaraca/PE Counties, by using two types of traps (rectangular and V-shaped). The analyses were performed for a number of species of Acanthuridae, Lutjanidae, Mullidae, Scaridae and Serranidae, taking into account variations in fishing effort, catch composition and abundance index(CPUE), by state and type of trap, in the year 2003. In respect to spotted goatfish and redtail parrotfish, Sparisoma frondosum, the length composition of the stock was determined from samples of 3,027 and 1,755 individuals, respectively, with the following results: spotted goatfish – range = 11.5 – 34.0 cm; mean = 22.5 cm; mode = 20.0 cm; redtail parrotfish – range = 14.2 – 38.0 cm; mean = 26.5 cm; mode = 27.0 cm. The overall conclusion is that the biocenosis and relative abundance of species from the five studied families vary in accordance with the fishing grounds in each state where its respective fleet has been operating
Environmental impact of plant-based foods – data collection for the development of a consumer guide for plant-based foods

The current food system puts enormous pressures on natural ecosystems. To mitigate these pressures, three overarching strategies are necessary – improvements in production, reductions in food waste and food losses, and dietary change (Willett et al., 2019; Roos et al., 2017). The focus has long been on reductions in meat and dairy in Westernized diets, as animal products have substantially higher climate impacts than most plant-based foods (Moberg et al., 2020). However, there is increasing interest in the sustainability of plant-based foods, reaching beyond the climate impact. For example, concerns have been raised about water and pesticide use in fruit, nut, and vegetable production, high energy use in ready-made food production, and high emissions from products transported over long distances. To provide guidance on such issues, WWF Sweden initiated development of a new consumer guide for plant-based products in a project called ‘World-class Veggie’ (‘Vego i varldsklass’). The Vego-guide will complement their current consumer guides on meat (Spendrup et al., 2019; Roos et al., 2014) and fish. This report was prepared for WWF Sweden, to provide scientific background information for its consumer guide on plant-based products targeting Swedish consumers. The remainder of the report is structured as follows: Chapter 2 describes the methodology used for collecting data for the Vego-guide. Chapter 3 presents the results obtained for individual plant-based products and Chapter 4 presents more general results. A short concluding discussion is provided in Chapter 5. A comprehensive set of appendices (Appendix A1-A8), providing examples of data from all underlying studies for all individual products and specific details on the methodology used in the studies, is provided at the end of the report. Motives and reasoning behind selection of environmental impact categories, the establishment of limits and criteria for the different environmental impact categories, and a description of the underlying work in development of the consumer guide are presented in a separate scientific paper (Karlsson Potter & Roos, manuscript).
What about STEMI in COVID-19 Women?

There is no doubt that in the last 2 months during COVID-19 pandemic a smaller number of ST-elevation Myocardial Infarction (STEMI) and Stroke arrived to cardiological and neurological departments. The pathophysiology of STEMI in COVID-19 women is not fully understood; it could be thrombus recanalization, catecholamine storm or Type 2 Myocardial infarction in case of severe respiratory distress or direct myocardial damage (viral myocarditis). Because most of them have normal coronary arteries an invasive strategy with coronary angiography is important to rule out atherosclerotic severe coronary disease.
Morphometric and histopathologic evaluation of the effects of cloprostenol and equine chorionic gonadotropin administration on the reproductive organs of female rats

The aim of this study was to determine the short-, mid- and long-term effects of cloprostenol (a synthetic analogue of prostoglandin F2α, PG) and equine chorionic gonadotropin (E) administration on reproductive organs (uterine tissue and ovaries) in female rats. Three different groups, PG, E, and control (C), were created, as well as six subgroups of the PG and E groups. After the treatment procedure, reproductive organs were removed surgically 7, 14, and 21 days after the last injection. Morphometric and histopathological changes in tissues were evaluated. It was shown that PG and E had a moderate proliferative effect on epithelial cells and endometrial glands, especially in the mid-term. It was also observed that, regardless of the time of application, some pathological changes can result from hormone administration.
Enhanced Quasi-Maximum Likelihood Decoding Based on 2D Modified Min-Sum Algorithm for 5G LDPC Codes

We propose a two-dimensional modified min-sum algorithm for the LDPC codes in the fifth generation (5G) networks standard to approach the error performance of the sum-product algorithm (SPA). In the proposed decoding algorithm, we adopt a partial self-correction method followed by message amplification to improve the reliability of the variable-to-check (V2C) messages. To further approach the performance of the maximum likelihood decoding for 5G short LDPC codes, we propose an enhanced quasi-maximum likelihood (EQML) decoding method. The proposed decoding method performs multiple rounds of decoding tests once the first decoding attempt fails, where the decoder inputs of the selected unreliable variable nodes are modified in each decoding test. A novel node selection method based on the sign fluctuation of V2C messages is proposed for the EQML decoding method. We also present a partial pruning stopping (PPS) rule to reduce the decoding complexity by deactivating part of the decoding tests once a valid codeword is found. A lower bound on the error performance is also derived by using the semi-analytical method. Simulation results show that the EQML decoding method outperforms the SPA with the same decoding complexity and other QML decoding methods, and it approaches the Polyanskiy-Poor-Verdú bound within 0.4 dB.
Essays on Credit, Macroprudential Regulation, and Monetary Policy

This dissertation consists of four essays that investigate the economic consequences of frictions in credit markets and the implications for macroprudential and monetary policies. The first essay addresses the following question: How do excessive debt holdings on borrower balance sheets impede economic activity? To address this question, we estimate a non-linear panel threshold model on a large-scale panel data set for euro area non-financial corporates. We account for non-linearities in the debt-investment link and find that excessive corporate leverage negatively affects firm investment if the debt-to-asset ratio exceeds 80 to 85 percent. These non-linearities are economically meaningful and robust across firm size, sector, and profitability, and were aggravated during the European sovereign debt crisis. The second and third essay address the following questions: How does the presence of unregulated shadow banks affect credit markets and the economy? What implications follow for prudential regulation and monetary policy? In the second essay, we develop a quantitative New Keynesian DSGE model for the euro area and estimate the model with full-information Bayesian techniques. We show that changes in bank capital requirements lead to credit leakage between shadow and commercial banks, and that monetary policy can partly mitigate undesired leakage to the shadow banking sector when banking regulation is tightened. In the third essay, I turn to the optimal design of macroprudential regulation when credit is intermediated by traditional banks and unregulated shadow banks. I derive welfare loss functions and show that both cyclical variations and inefficient levels of credit have welfare implications. Regulators face a trade-off related to the composition of credit when deciding on optimal regulation. I find that they lower capital requirements more strongly under optimal policy in response to adverse shocks that trigger credit leakage to risky non-banks. Furthermore, the optimal static level of capital requirements is lower once shadow banks are considered. In the fourth essay, we address the following question: How much do market participants gain from a European Deposit Insurance Scheme (EDIS)? To this end, we develop an open-economy regime-switching DSGE model with bank default and study the effectiveness of EDIS in comparison to national fiscal policies. We find that reinsurance by both national fiscal policy and EDIS is effective in stabilizing the macro economy, even though welfare gains are slightly larger with EDIS and debt-to-GDP ratios rise under fiscal policy reinsurance. We demonstrate that risk-weighted contribution to EDIS are welfare-beneficial and discuss policy trade-offs during the implementation of EDIS.