Miracle-dz/UniFAR-FTUs huggingface dataset:
A Hybrid Event Trigger Mechanism and Time-Delay Partitioning Are Applied to Event-Driven Control Systems

This paper proposes an idea of using time-delay partitioning to construct a Lyapunov–Krasovskii functional (LKF) to analyse event-driven network control systems (NCSs) with the H∞ performance. Firstly, select a mixed event-driven mechanism, in which an adjustable absolute trigger mechanism is added to the trigger condition. Trigger term can be indicated to use a delay model. Secondly, a suitable LKF is created, which makes use of time-delay partitioning. Based on Wirtinger inequality and linear matrix inequalities (LMI), the close system with H∞ performance index level is global uniform ultimate bounded. Finally, a numerical simulation example proves the effectiveness of the proposed method.
ROLE OF NITRIC OXIDE IN CARDIAC PERFORMANCE DURING EXPERIMENTAL ISCHEMIC CARDIAC ARREST AND RE- PERFUSION

Background: Re-perfusion strategies are the current standard therapy for acute myocardial infarction, despite the spectrum of re-perfusionassociated pathologies that may contribute to irreversible myocardial injury. Aim of the work: The aim of present study is to clarify the alterations in intrinsic cardiac functions in response to cardiac ischemic arrest followed by re-perfusion in isolated hearts perfused with nitric oxide (NO) donor, Larginine, or NO inhibitor, Nω-Nitro-L-arginine methyl ester hydrochloride (L-NAME), to shed light on the possible role of NO in re-perfusion process. Materials and Methods: Cardiac activities of hearts isolated from Adult albino rats of both sexes were studied on Langendorff preparation under basal conditions and during 30 min re-perfusion following 30 min of total global ischemia. Rats were randomly allocated into three groups; control and L-arginine or L-NAME infused heart groups. Both L-arginine and LNAME were infused over 20 min during the baseline activity before induction of total global ischemia. Thereafter, cardiac tissue levels of malondialdhyde, catalase and nitrite were assessed. Results: Compared to the control, both L arginine and L-NAME infused hearts showed increased basal chronotropy and myocardial flow rate. Significantly depressed basal inotropic state was only observed in L-arginine group. The three studied groups demonstrated significant deterioration in the inotropic activity and compromised myocardial flow rate during the whole period of reperfusion. L-arginine infused hearts demonstrated depressed inotropy and chronotropy, weak systolic and diastolic functions with compromised myocardial flow at early 5 min of reperfusion, yet with significantly higher myocardial flow rate % recovery by the end of reperfusion (82.7% ±3.01 in L-arginine vs. 56.4% ± 2.32 in control and 62.6% ±2.17 in L-NAME). The chronotropic activity was maintained in both the control and L-NAME infused hearts. Cardiac tissue NO showed the highest level in L-arginine group and the lowest level in L-NAME one. Both catalase and MDA were insignificantly changed among the three studied groups. Conclusion: Reducing NO availability by L-NAME revealed mild impact on the ischemia re-perfusion induced contractile dysfunction. Excess NO worsens cardiac performance at early re-perfusion. However, it may have potentially protective effect by acquiring higher the myocardial flow rate during the reperfusion.
The Analysis of Intention and Use of Financial Technology

The rapid development of technologies affects the financial technology sector, especially e-money in Indonesia. This research aims to analyze the determinant from intention and use behavior of financial technology (e-money) using UTAUT2 as the model. This research took place in Jabodetabek, with a total sample of 300 people as the respondents. The purposive sampling method is used as the sampling method in this study. The scale which is used in this study is the Likert scale with a range of 1-5. Data were analyzed using descriptive and Structural Equation Modeling (SEM). The results show that performance expectations, effort expectancy, social influence, facilitation conditions, and habits are factors that influence the intention and use of e-money. On the other hand, hedonic motivation and price value do not affect behavioral intention. It indicates that using financial technology is a must and not depend on user motivation or the price of the technology. These results provide implications about several factors as the determinant of e-money for stakeholders to develop the strategy for e-money based on the most influential factor that affects consumers as users. While developing e-money technology, the developer should take into account factors such as performance expectations, effort expectancy, social influence, facilitation conditions, and habits.
MODELING CRACK PATTERNS BY MODIFIED STIT TESSELLATIONS

Random planar tessellations are presented which are generated by subsequent division of their polygonal cells. The purpose is to develop parametric models for crack patterns appearing at length scales which can change by orders of magnitude in areas such as nanotechnology, materials science, soft matter, and geology. Using the STIT tessellation as a reference model and comparing with phenomena in real crack patterns, three modifications of STIT are suggested. For all these models a simulation tool, which also yields several statistics for the tessellation cells, is provided on the web. The software is freely available via a link given in the bibliography of this article. The present paper contains results of a simulation study indicating some essential features of the models. Finally, an example of a real fracture pattern is considered which is obtained using the deposition of a thin metallic film onto an elastomer material – the results of this are compared to the predictions of the model.
A Generic Scheduling Algorithm for Low-Frequency Switching in Modular Multilevel Converters With Parallel Functionality

Since the introduction of modular multilevel converters (MMC), various additional features have been introduced for MMCs, among them parallel inter-module connectivity. However, such a parallel mode requires appropriate modulation and switching strategies to exploit its full potential. Low-frequency switching modulation is widely used with half-bridge modules and a large body of research focusses on the optimum control and scheduling of these methods. However, so far, a suitable adaptation for MMCs with parallel mode is missing, and existing methods perform suboptimum. This article proposes a generic scheduling algorithm for simple and low-cost integration with low-frequency switching modulation. The proposed method reduces control complexity, minimizes power loss, and can be combined with most modulation techniques, including nearest-level modulation (NLM) and selective harmonic elimination. The text in this article provides a general algorithm for integrating this method with other control levels and analyzes its effect on MMCs with parallel functionality. Moreover, it examines the performance of the system with NLM combined with the proposed scheduler and compares it to other alternatives. Results show up to a 50% reduction in power loss with a similar modulation technique as well as significantly lower THD and power loss compared to optimized phase-shifted carrier modulation as another sensorless alternative method.
COMPRESSING SENTIMENT ANALYSIS CNN MODELS FOR EFFICIENT HARDWARE PROCESSING

Convolutional neural networks (CNNs) were created for image classiﬁcation tasks. Shortly after their creation, they were applied to other domains, including natural language processing (NLP). Nowadays, solutions based on artiﬁcial intelligence appear on mobile devices and embedded systems, which places constraints on memory and power consumption, among others. Due to CNN memory and computing requirements, it is necessary to compress them in order to be mapped to the hardware. This paper presents the results of the compression of eﬃcient CNNs for sentiment analysis. The main steps involve pruning and quantization. The process of mapping the compressed network to an FPGA and the results of this implementation are described. The conducted simulations showed that the 5-bit width is enough to ensure no drop in accuracy when compared to the ﬂoating-point version of the network. Additionally, the memory footprint was signiﬁcantly reduced (between 85 and 93% as compared to the original model).
Genetic population structure of the toxigenic dinoflagellate Alexandrium catenella in the Patagonian Fjords System, southern Chile

Alexandrium catenella is the main species that form harmful algae blooms (HABs) in southern Chile. Since its first record in 1972 in the Magallanes region this species apparently has increased its range distribution from south to north. In this study, we investigate the influence of the range expansions distribution on the A. catenella populations genetic diversity and structure. This was achieved by isolating 33 clones from different localities along the Magallanes and Aysen region which were genetically characterized with Amplified Fragment Length Polymorphism (AFLPs) molecular markers. Results showed a latitudinal genetic diversity gradient from the south to north populations. Inter-populations genetic divergences were low but significant between both geographically close and distant populations. Results indicated that the genetic diversity differentiation could be generated by a founder effect, which is expected in populations that have expanded their distribution range. On the other hand, low levels of genetic divergences between distant populations seems point out that high gene flow occurs along coast of the Pacific Ocean, but also, seems hints the connectivity route between the Magallanes and Aysen populations i.e. , the vegetative cells dispersion among populations, would occur through coastal Pacific coast and Boca del Guafo. Finally, the high values of multilocus linkage disequilibrium found between closer population of Aysen indicates that divergence could be influenced along with the reproductive dynamic of the vegetative cells.
SYMPTOMS VARIATION OF VIRAL INFECTIONS IN YARDLONG BEAN

Yardlong bean (Vigna unguiculata subsp. sesquipedalis L.) is an important horticultural commodity in Indonesia. During the last ten years, yardlong bean planting areas in Indonesia especially in Java often suffered from epidemics of viral disease showing typical symptoms of yellow mosaic on their leaves. Some researchers have separately reported that the symptoms associated with some viral infections. This research aimed to examine viruses associated with the symptoms of yellow mosaic on yardlong bean in endemic areas in Sukoharjo, Central Java, Indonesia. Yardlong bean leaves were taken from the district by purposive sampling method, then the virus was detected by nucleic acid amplification using specific primers for Begomovirus, Bean common mosaic virus (BCMV) and Cucumber mosaic virus (CMV). The results showed that one sample of yardlong bean could be infected by more than one virus. Infection of two kind of virus in a yardlong bean showed symptoms of each virus plus a synergistic effect where the symptoms become more severe.
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This paper proposes a novel high step-up nonisolated DC-DC converter, suitable for regulating dc bus in various inherent low voltage micro sources especially for photovoltaic (PV) and fuel cell sources. This novel high voltage Non-isolated Boost DC-DC converter topology is best replacement, where high voltage conversion ratio is required without the transformer and also need continuous input current. Since the proposed topology utilizes the stack-based structure, the voltage gain, and the efficiency are higher than other conventional non-isolated converters. Switches in this topology is easier to control since its control signal is grounding reference. Also, there is no need of extra gate driver and extra power supply for driver circuit, which reduces the cost and size of system. In order to show the feasibility and practicality of the proposed topology principle operation, steady state analysis and simulation result is presented and analyzed in detail. To verify the performance of proposed converter and theoretical analysis 360W laboratory prototype is implemented.
Evaluation of soluble expression of recombinant granulocyte macrophage stimulating factor (rGM-CSF) by three different E. coli strains

Background and purpose: Granulocyte-macrophage colony-stimulating factor (GM-CSF) is a cytokine with a wide range of therapeutic applications although expression of GM-CSF in Escherichia coli (E. coli) usually leads to formation of insoluble aggregates mostly lack biological activity. The aim of this study was to compare the soluble expression level of GM-CSF in three E. coli strains, BL21 (DE3), SHuffle® T7 and Origami™ 2 (DE3). Experimental approach: The effect of different temperatures and inducer concentrations on soluble expression of GM-CSF was evaluated. The soluble GM-CSF was subjected to endotoxin removal and purification using nickel-nitrilotriacetic acid (Ni-NTA) affinity chromatography, ultrafiltration. The biological activity of produced GM-CSF was evaluated based on its growth promotion effect on TF-1 cell lines by MTT assay method. Findings / Results: A significant improvement of the soluble yield of GM-CSF (about 30% of GM-CSF was expressed as soluble proteins) was observed when protein expression was induced at 30 °C with 0.5 mM isopropyl β- d-1-thiogalactopyranoside (IPTG) in E. coli Shuffle T7. The soluble GM-CSF with a high purity up to 95 % and specific activity of 1.25 × 104 IU/μg was obtained. Conclusion and implications: The proposed strategy here can be used to improve the soluble expression of other hard-to-express proteins with similar structural properties (i.e., containing disulfide binds or cysteine).
The Relationship Between Acute Kidney Injury and Inflammation-Based Parameters and Mortality in Oncologic Intensive Care Patients

Background and Aims: Cancer patients are admitted to intensive care units (ICU) due to primary diseases, treatment-related conditions or comorbid diseases. Acute kidney injury (AKI) and infections appear to be factors affecting mortality and morbidity in ICU follow-up. Therefore, in our study, we investigated the effect of AKI and inflammation-based parameters on mortality in cancer patients admitted to the ICU. Materials and Methods: In this study, 386 patients diagnosed with malignancy hospitalized between 2010 and 2014 in Dicle University Medical Faculty Internal Medicine ICU were included. The study was designed retrospectively. The demographic characteristics and clinical information of the patients were obtained from the files. Subsequently, patients were classified as nonsurvivors (group 1) and survivors (group 2). Both groups were compared in terms of the presence and stage of AKI by KDIGO definition, neutrophil / lymphocyte ratio (NLR) and platelet / lymphocyte ratio (PLR). Results: Creatinine, CRP, neutrophil counts were found to be significantly higher and albumin, hemoglobin, platelet and lymphocyte counts were found to be lower in group 1 (n=276) compared to group 2 (n=110). Length of ICU was longer in group 2 patients. There was a positive correlation between mortality and KDIGO stages and NLR. Mortality rate was increased 1.9 fold in KDIGO stage 1, 2.3 fold in stage 2, 2.4 fold in stage 3 and 1.5 fold if NLR>5. There was no statistically significant relationship between PLR and mortality. Conclusion: The presence of AKI and elevated inflammation-based parameters were associated with mortality in oncologic patients admitted to the ICU.
Influence of Mechanical Scarification and Open-Field Sowing Procedure over Cassia ferruginea Germination Process

Seed dormancy implicates on delay and hampers seedling production. The increasing demand for greater seedlings production favors techniques that overcome seed dormancy. Cassia ferruginea is an economically relevant species that seeds present tegumentar dormancy, and there is no registry of the best sowing approach. In order to evaluate the influence of the mechanical scarification procedure, and open-field production method in the germination process of Cassia ferruginea, about five thousand seeds were evenly distributed between control and mechanical scarification with emery. The control group presented a low germination rate during the period of analysis. However, mean germination time and mean time to stabilize germination were remarkably lower to scarified seeds, also presenting higher germination rates and synchronization. The sporadic and low germination pattern observed in the control group is associated with ecological implications. The open-field production process presented significant differences to important indexes when compared to the greenhouse production process. Thus, mechanical scarification with emery is an appropriate method to overcome Cassia ferruginea seed dormancy, providing a faster, synchronized, and better seed lot exploitation. Favorable aspects of commercial seedling production. While the open-field production process was not adequate for seedling production.
Second Language Writing Strategies: A Case Study with EFL Senior Students at An International University

The study aimed to investigate the English language writing strategies used by Business English major students in Academic Writing course at an international university in Thailand. There were two major areas of concern, which were hoped to be addressed in the course of the research. The study applied a mixed-method approach; it combined the quantitative analysis of the Likert scale statements in the writing strategy questionnaires and the students' writing samples with the qualitative analysis of the open-ended questions in the questionnaires and the semi-structured interviews. The collected qualitative data would provide an in-depth insight into the nature of the students’ writing. The implications of the research were as follows: to raise the students' awareness of the English writing compositional skills, to emphasize the communicative purpose of writing in English, and to train them to use the peer collaboration strategy to facilitate their English writing most effectively.
EXPERIMENTAL AND THEORETICAL EVALUATION OF SIDE TAMPING METHOD FOR BALLASTED RAILWAY TRACK MAINTENANCE

Michal PRZYBYLOWICZ, Mykola SYSYN* TU Dresden, Institute of Railway Systems and Public Transport CHettnerstraße 1, Dresden 01069, Germany Vitalii KOVALCHUK, Olga NABOCHENKO Lviv branch of Dnipro National University of Railway Transport, Department of the rolling stock and track 12а, Ivanny Blazhkevych, Lviv 79052, Ukraine Bogdan PARNETA Lviv Polytechnic National University, Department of Construction industry 12, Stepan Bandera, Lviv 79013, Ukraine *Corresponding author. E-mail: mykola.sysyn. @tu-dresden.de
Residential Location, Mobility, and Travel Time: A Pilot Study in a Small-Size Italian Metropolitan Area

This research concerns the topic of Land Use and Transport Interaction (LUTI) models. In particular, the patterns between residential households’ location and mobility choices are analyzed and simulated. The attributes that influence household residential location choices belong to four categories: socioeconomic and mobility attributes of households and/or of their components; land use; real-estate market; transport system. The paper presents the results of a pilot study on households’ location and mobility patterns in the metropolitan area of Reggio Calabria (Southern Italy). The pilot study is divided into two stages. In the first stage, a survey allowed to collect information and identify existing patterns about residential and mobility choices of a sample of households. In the second stage, a residential location model is proposed and some preliminary calibrations are presented in a prototypal way. The pilot study could be extended and improved in terms of spatial extension and sample dimension in order to allow a complete specification-calibration-validation process of the model. The model development can support the land use-transport planning process in the Metropolitan City of Reggio Calabria.
Optimization of Fuzzy Radiotherapy ThroughCognitive

: in this article, a Fleiay Cbgnitive Mbp model used for the supervision and monitoring of the radietherapyprocess, is optimized through the minimization ofan objective.fitnction. using the Dtfilerential Evotution aigorithm. The Dtt7irrential Evolution aigorithm is a Cbmputational lntetligence technigue and belongs to the.fields ofEvolutionarJ, Computotion. 7Jbepteposed approach detetvnines the appropriate values ofthe causal links (iveightsp ofthe Supervisor;Fuzry Cbgnitive Mbp model ofthe system in order to succeed aeceptable resultsfor the radiation thertuly. 7)iis method is useflilfor doctons-radiotherapisls to manage a clinical case and make decisions for the successul or not oj'the radiotheupy. Kayirords: Fleiay thgnitive Mbps,
Differential Evolution Approach for Performance Enhancement of Field-Oriented PMSMs

In a field-oriented vector-controlled permanent magnet synchronous motor (PMSM) control system, the d-axis current control loop can offer a free degree of freedom which can be used to improve control performances. However, in the industry the desired d-axis current command is usually set as zero without using the free degree of freedom. This paper proposes a method to use the degree of freedom for control performance improvement. It is assumed that both the inner loop proportionalintegral (PI) current controller and the q-axis outer loop PI speed controller are tuned by the wellknown tuning rules. This paper gives an optimal d-axis reference current command generator such that some useful performance indexes are minimized and/or a tradeoff between conflicting performance criteria is made. This paper uses a differential evolution algorithm to autotune the parameter values of the optimal d-axis reference current command generator. This paper implements the proposed control system in real time on a Texas Instruments TMS320F28335 floating-point DSP. This paper also gives experimental results showing the practicality and feasibility of the proposed control system, along with simulation results.
PHYTOCHEMICAL SCREENING AND FREE RADICAL SCAVENGING ACTIVITIES OF METHANOL LEAF AND FLOWER EXTRACT OF Securidaca longipedunculata

Securidaca longipedunculata is one of the known medicinal plants in Africa belonging to the Polygalaceae family. The objective of this study was to investigate the phytochemical contents as well as the free radical scavenging properties of methanol leaf and flower extract of the plant. The plant material was extracted using methanol for 72 hours. Extraction yielded 24.432% and 19.88% (w/w) of leaf and flower respectively. The preliminary phytochemical screening for leaf extract revealed the presence of phenols, tannins, flavonoids, saponins, glycosides, steroids, terpenoids, quinones and fixed oil while alkaloids, coumarin and xanthoproteins were not detected. The flower extract showed the presence of alkaloids, tannins, flavonoids, terpenoids and phenols while steroids and saponins were absent. The leaf and flower extracts revealed significant DPPH free radical scavenging activity. The total flavonoid content of leaf extract was found to be 17.0867 ± 0.268 mg Quercetin Equivalent/g extract while total phenolics content was found to be 22.73 ± 0.04583mg Gallic Acid Equivalent/g extract. The total flavonoid content of flower extract was found to be 6.0 ± 0.273 mg Quercetin Equivalent//g extract while total phenolics content was found to be 18.17 ± 0.017mg Gallic Acid Equivalent /g extract. Our study showed that S. longipedunculata leaf and flower extracts have important bioactive constituents and possess potent in vitro antioxidant activity. These parts of the plant may therefore be used as source of important pharmacological compounds for the treatment of oxidative stress related ailments