Miracle-dz/UniFAR-FTUs huggingface dataset:
Heading control method of unmanned sailing boats based on fuzzy PID

：［ Objectives ］ In order to improve the anti-jamming ability and navigation stability of the unmanned sailing boats in the changeable and unknown environment and to realize accurate control of the heading of sailing boats ， a fuzzy adaptive control method combined with the traditional PID technology is proposed. ［ Methods ］ The Nomoto motion mathematical model with three degrees of freedom was established ， and the fuzzy rules and simulation controller were built with the Simulink modeling tool of Matlab ， which could optimize and adjust the PID control parameters in real time and online. In the case of different speeds and random perturbations ， a comparison with the traditional PID control was made to analyze the influence of different control methods on the heading and validate it by experiments. ［ Results ］ The results show that the fuzzy PID method has good adaptive ability and robustness to control the heading of small unmanned sailing boats. ［ Conclusions ］ The study of this paper can provides references for heading control of unmanned sailing boats.
THE APPLICATION OF THE ELABORATION LIKELIHOOD MODEL IN EXPLAINING E-WOM ADOPTION AND REPURCHASE INTENTION

: The purpose of this study is to apply the elaboration likelihood model in explaining the behaviors in online shopping through social media. This study examined the influence of argument quality, source credibility, and sources attractiveness on e-WOM adoption, and the influence of e-WOM adoption on repurchase intention. The research sample was determined using a non-probability sampling method with a total of 140 people, who are active users of social media in Bali. The data were analyzed using the Partial Least Square (PLS). The analysis results showed that argument quality, source credibility, and attractiveness have a positive and significant influence on e-WOM adoption and e-WOM adoption also has a positive and significant influence on repurchase intention.
Employee Turnover Prediction by Machine Learning Techniques

— Employee turnover in Human Resource (HR) analytic is a term used to describe employees who leave the company due to termination, seek better job, or they are dealt with a bad working environment. Typically, a high turnover rate indicates that employees are dissatisfied with their current work environment. This leads to a high cost in terms of productivity, time and money for the company as they were required to hire, rehire, and retrain the new employees to accustom themselves with their new work environment as well as the tasks assigned. In this paper, we propose a hybrid of machine learning algorithms and a Power BI model to design an Employee Turnover Prediction (ETP) application. Main factor influencing employee exit decisions and employee retention periods will be identified and the retention period for the employees or new applicants will be predicted. Employee dataset with the relevant features will be collected, processed, and analyzed. The analytics results (retention period) act as a benchmark for companies to determine whether they should hire applicants which also would possibly benefit to reduce the turnover rate of their company.
Lower functional redundancy in “narrow” than “broad” functions in global soil metagenomics

Abstract. Understanding the relationship between soil microbial taxonomic compositions and functional profiles is essential for predicting ecosystem functions under various environmental disturbances. However, even though microbial communities are sensitive to disturbance, ecosystem functions remain relatively stable, as soil microbes are likely to be functionally redundant. Microbial functional redundancy may be more associated with “broad” functions carried out by a wide range of microbes than with “narrow” functions in which specific microorganisms specialize. Thus, a comprehensive study to evaluate how microbial taxonomic compositions correlate with broad and narrow functional profiles is necessary. Here, we evaluated soil metagenomes worldwide to assess whether functional and taxonomic diversities differ significantly between the five broad and the five narrow functions that we chose. Our results revealed that, compared with the five broad functions, soil microbes capable of performing the five narrow functions were more taxonomically diverse, and thus their functional diversity was more dependent on taxonomic diversity, implying lower levels of functional redundancy in narrow functions. Co-occurrence networks indicated that microorganisms conducting broad functions were positively related, but microbes specializing in narrow functions were interacting mostly negatively. Our study provides strong evidence to support our hypothesis that functional redundancy is significantly different between broad and narrow functions in soil microbes, as the association of functional diversity with taxonomy was greater in the five narrow than in the five broad functions.
Case Series of Hepatocellular Carcinoma with the Atypical Contrast-Enhancement Ultrasound Enhancement Patterns and a Review of the Literature

Hepatocellular Carcinoma (HCC) is a common cancer with high mortality worldwide, which typically manifests as "early entry and early exit" in CEUS, CECT and CEMRI. The case series in this study was characterized by the non-fading of the contrast agent. A total of 5 cases with atypical CEUS features confirmed by surgery and histopathological results were identified as HCC, and the possible reasons for this phenomenon were analyzed. Therefore, the diagnosis of HCC with atypical contrast pattern requires a combination of multiple aspects.
Optimal Control Theory An Introduction Dover Books On Electrical Engineering

Cost Theory: Introduction, Concepts, Theories and Introduction to Control Theory And Its Application to REINFORCEMENT LEARNING AND OPTIMAL CONTROLOptimal control WikipediaLinear Matrix Inequalities in System and Control TheoryReal-time optimal quantum control of mechanical motion at (PDF) Introduction to the theory of Computation 2nd Arousal Theory Communication TheoryTextbook: Dynamic Programming and Optimal ControlDynamic Programming and Optimal Control – Institute for Theory X, Theory Y, and Theory Z | Introduction to An Introduction to Mathematical Optimal Control Theory Impact of vaccine supplies and delays on optimal control The Polyvagal Theory and Horses: An Introduction — . Optimal Foraging an overview | ScienceDirect TopicsReading: Douglas McGregor’s Theory X and Theory Y TraumaInformed Approaches and Ecological Theory Robust Control Theory Carnegie Mellon UniversityFeedback Control TheoryOptimal Control Theory University of WashingtonCOMPUTER SCIENCE & SYSTEMS TACOMAINVENTORY THEORYIntroduction to Graph Theory | CourseraIntroduction to Game Theory Lecture 4: Extensive Games . Data-driven optimal control with a relaxed linear program Introduction to Immunoglobulins | Thermo Fisher Scientific (PDF) Flow: The Psychology of Optimal Experience(PDF) Introduction to Operations ResearchModern Portfolio Theory: Efficient and Optimal Portfolios Control theory Wikipedia REINFORCEMENT LEARNING AND OPTIMAL CONTROL
The potential of hydroxysafflor yellow a as an adjuvant in covid-19 patients with acute respiratory distress syndrome

Objective: To discuss the potential and molecular mechanism of Carthamus tincorius derived hydroxysafflor yellow A (HSYA) as an alternative herbal adjuvant that may regulate various signaling pathways that might be related to the regulatory effects in COVID-19 patients with ALI and ARDS. Methods: We search Web of Science, PubMed, and Scopus using keywords: Carthamus tinctorius, adjuvant, cytokine storm, COVID-19, SARS-Cov-2, acute lung injury (ALI), and Acute Respiratory Distress Syndrome (ARDS), on 11 September 2020, and 18 December 2020. Results and Discussions: In COVID-19 patients, SARS-CoV-2 replication might be associated with hyper induction of pro-in-flammatory cytokine, which is known as a cytokine storm, and may cause acute lung injury (ALI) that leads to Acute Respiratory Distress Syndrome (ARDS). Carthamus tincorius derived HSYA were used in many studies, in vivo in animal models or in vitro in cell lines and showed inhibition of multiple inflammatory pathways that were involved in ALI and ARDS, which might occur in covid-19 patients. HSYA showed pleiotropic effects in regulating cytokine levels. It regulated TNF-α, IL-1β, IL-6, IFN-β, and showed protective effect by blocking TLR4, MyD88, TRIF, IRF3, NF-κB to avoid cytokine storm and prevent tissue damage. HSYA was showed to reduce oxidative stress-mediated damage, and down-regulate inflammatory cytokines. Further, it was relatively safe when studied as an adjuvant in HIV and cancer patients. Conclusion: We supposed that HSYA could be used as an alternative adjuvant in COVID-19 patients with ARDS. However, clinical trials are needed to prove its efficacy in COVID-19 patients with ARDS.
Current Status of TARE (Trans Arterial Radioembolization) in Clinical Practice – A Review

Transarterial radioembolization has emerged over the last decade as an established locoregional therapy for the management of primary and metastatic liver cancers, with hepatocellular carcinoma accounting for majority of primary liver cancers. TARE began as a treatment for advanced HCC in a palliative setting in patients with intermediate and advanced stage unresectable HCC that over the years has evolved as a curative treatment option. This review discusses the current evidence of TARE in clinical practice, concept of radiation segmentectomy, radiation lobectomy, and its role in tumors other than hepatocellular carcinoma and on personalized dosimetry.
GRUNEISEN PARAMETER OF METALS BASED ON FREE ELECTRON THEORY

G.E. ADESAKIN , O. OLUBOSEDE, A.T. FATIGUN, E.O. ALIYU, E.A. OYEDELE, M.A. ADEKOYA, O. G. EDEMA, A.O. AKINBOLUSERE, S.I. OTOBO, T.O. EWUMI Department of Physics, Ekiti State University, Ado-Ekiti, Nigeria Department of Physics, Federal University OyeEkiti, Nigeria Department of Computer Science, Adekunle Ajasin University, Akungba Akoko Department of Physics, Edo University, Iyamho, Nigeria Department of Physical Sciences, Federal Polytechnic, Auchi, Edo State, Nigeria 9 Department of Basic Sciences, Federal Polytechnic, Auchi, Edo State, Nigeria ABSTRACT
The Autonomic Profile in Postural Orthostatic Tachycardia Syndrome, about 12 Patients

DOI: 10.46998/IJCMCR.2021. 15.000362 Abstract The postural orthostatic tachycardia syndrome is one of the most common autonomic dysfunctions. Although its clinical presentation may be misleading for the practitioner, it can be easily identified using autonomic tests. Our study included 12 patients with postural orthostatic tachycardia syndrome. Autonomic tests were performed to all those patients. The tests included orthostatic test, echo stress, deep breathing, and hand grip. All subjects had increased central and peripheral beta-adrenergic activity. Alpha adrenergic activity was within normal rage.
Diagnosis of DC Bias in Power Transformers with Vibration test Method

This paper deals with a vibration test method to diagnose DC bias in power transformers. Vibration variation process of a 500kV autotransformer is tested under the influence of DC bias. Transformer vibrations in normal and DC-biased conditions are compared. Three features are proposed and is validated by sensitivity analysis. The Principal Component Analysis method is employed for feature de-correlation and dimensionality reduction. The least square support vector machine algorithm is used and verified successful in DC bias recognition. The suggested diagnostic method could be useful in targeted DC bias control and improving the safe operation level of power transformers
Response to reviewers for the paper “ A Systematic Re-evaluation of Methods for Quantification of Bulk Particle-phase Organic Nitrates Using Real-time Aerosol Mass Spectrometry ”

The manuscript by Day et al. compiled an extensive survey of NOx+ ratios measured for various pRONO2 compounds and mixtures from multiple AMS instruments, groups, and laboratory and field measurements. They find that the pRONO2 NOx+ ratio can be estimated using a ratio referenced to the calibrated NH4NO3 ratio (“RoR method”), and explore the basis for quantifying pRONO2 (and NH4NO3) with the RoR method using ground and aircraft field measurements conducted over a large range of conditions. This work will help provide a more consistent and accurate approach to quantification and exploration of bulk particle-phase nitrates in the atmosphere with AMS.
REASSESSMENT OF FIFTY YEARS OF SEISMICITY IN SIMAV-GEDIZ GRABENS (WESTERN TURKEY), BASED ON CALIBRATED EARTHQUAKE RELOCATIONS

Western Turkey is one of the most seismically active and rapidly deforming continental regions with a long history of large normal faulting earthquakes. However, the locations and slip rates of the responsible faults are poorly constrained. Here, we reassess a series of large earthquakes in the Simav-Gediz region, an area exhibiting a strong E-W gradient in N-S extension rates, from low rates bordering the Anatolian Plateau to much higher rates in the west. We start by investigating a recent Mw ~ 5.9 earthquake at Simav (19 May 2011) using Synthetic Aperture Radar interferometry (InSAR), teleseismic body-waveform modeling and field observations. This event provided the impetus to reassess older instrumental events in the region using a calibrated earthquake relocation method based on the hypocentroidal decomposition (HD) technique. These improved locations in turn provide an opportunity to reassess the regional tectonics. One interesting aspect of these earthquakes is that the largest (the Mw 7.2 Gediz earthquake, March 1970) occurred in an area of slow extension and indistinct surface faulting, while the well-defined and more rapidly extending Simav graben is associated with several smaller Mw 5.0 – 5.9 events. Since the faulting is so poorly characterized, the risks posed to nearby cities are also little understood. Whilst our geographical focus is on western Turkey, the strategy we employ in this study could potentially be exploited in other areas in which poorly understood, early instrumental events warrant reinvestigation.
Co-development and evaluation of a community-based telerehabilitation wheelchair training program for children

Independent wheelchair mobility enables children with physical disabilities to explore and interact with their environment, play and participate in school and meaningful activities [1,2-3]. However, wheelchair use is a complex activity requiring children to perform safely and effectively indoor, community and advanced skills [4]. According to the WHO guidelines (2008), training is a critical step of the wheelchair provision process for promoting an independent and safe use [5].
Overview of usefulness analysis of online reviews

: With the prosperity of Internet services, the content of online reviews is also growing. As an important part of online word of mouth, how to efficiently and automatically select from the mass comments can help potential consumers to buy the desired products / services have become an ur - gent problem to be solved. This paper focuses on the research of domestic and foreign scholars in the field of usefulness (quality) of online reviews, and briefly introduces the common research methods and factors.
A meta analysis study: is Problem Based Learning (PBL) effective toward students’ mathematical connections ability?

PBL has become a popular topic in educational research studies. Several studies examine the effect of PBL toward students’ mathematical connection abilities. A total of 8 articles qualified for inclusion. This study analyzed them using Meta Analysis with the Comprehensive Meta-Analysis (CMA) application by selecting the Hedge’s equation to determine its effect size and bias publication was assessed by the funnel plot, and Rosenthal’s fail-safe N (FSN) test. Based on the analysis result, the overall effect size is 0.797 according to random-effect model with a 95% confidence interval (CI). It was classified as a moderate level. The findings of the study showed that the overall implementation of PBL had a larger positive effect significantly compared to conventional learning on the students’ mathematical connection’s ability. Because, in the implementation of the PBL model, students are faced with problems that are closely related to everyday life. This shows that mathematical connection ability is needed one of which is the aspects of the connection between mathematics and daily life. Doing this research can support the development of learning and can be an alternative learning model to improving students’ mathematical connections ability.
DATA MINING AND ITS CONCEPTS: A COMPLETE REVIEW

: The Data mining has gained a great ground in late year however the issue of missing data has remained a great test for data mining algorithms. It is an action of separating some helpful learning from a vast data base, by utilizing any of its techniques. Data mining is utilized to find information out of data and introducing it in a frame that is effortlessly comprehended to people. Data mining is the thought of all strategies and techniques which permit breaking down substantial data sets to separate and find already obscure structures and relations out of such gigantic stacks of points of interest. This paper considered the classification and clustering techniques on the premise of algorithms which is utilized to foresee beforehand obscure class of articles.
Adaptation to saline intrusion for agriculture farming transformation in the coastal Ben Tre province, Vietnam

This study aimed to evaluate the adaptive capacity (AC) of agriculture farming transformation to improve for the adaptability by saline intrusion of those culture systems in the coastal Ben Tre province. The primary data was collected by questionnaires in three coastal districts of Ba Tri, Thanh Phu and Binh Dai with 178 households to distribute on agriculture land use transformations. An Object-Based Image Analysis (OBIA) and multi-temporal image analysis approach was developed to detect how LULC changes during 2010-2020 in the coastal Ben Tre province using Landsat TM and OLI data. The MODIS (MOD09 8-day reflectance) data was processed into monthly NDVI maps with the Time Series Product Tool software package and then used to classify regionally common rice crops LULC types using unsupervised classification by ISODATA algorithm. Based on primary data collection, evaluating adaptation measures was assessed the compilation of modification options based on a detailed description and criteria including human, society, infrastructure and natural conditions by standardized a weight ranges of adaptive indicators in the agriculture land use changes. The results detected five agriculture land use transformation including rice-shrimp crop rotation to aquaculture, single rice crop to aquaculture, double rice crop to perennial plant/orchards, double rice crop to rice-shrimp crop rotation, and triple rice crop to double rice crop. The adaptability of these transformations conducted the shrimp-rice crop rotation to aquaculture in Binh Dai of strongly high adaptability. Next is followed by double rice crops to orchards and double rice crops to rice-shrimp crop rotation with high adaptability while the rice-shrimp crop rotation to aquaculture is only moderate in Thanh Phu. The low adaptability levels were identified on single rice crop to aquaculture and triple rice crop to double rice crop transformations due to tolerant condition of saltwater for rice crop cultivation. The studies results can further contribute to support adaptation planning in these sectors by using, developing and streamlining this framework to additional and different socio-ecological contexts.
Hard-Switching and Soft-Switching Two-Switch Flyback PWM DC-DC Converters and Winding Loss due to Harmonics in High-Frequency Transformers

Murthy Bellur, Dakshina. Ph.D., Engineering Ph.D. Program, Wright State University, 2010. Hard-Switching and Soft-Switching Two-Switch Flyback PWM DC-DC Converters and Winding Loss due to Harmonics in High-Frequency Transformers. The flyback pulse-width modulated (PWM) DC-DC power converter is a very important circuit in switching mode power supply (SMPS) converters for low power applications. The main drawback of the conventional single-switch flyback converter is the high turn-off voltage stress suffered by the switch. The high voltage transients are caused by the resonant behavior of the transformer leakage inductance and the transistor output capacitance, resulting in ringing superimposed on the steady-state switch voltage level. This requires a transistor with higher voltage rating. However, a transistor with higher voltage rating has higher on-resistance causing higher conduction loss. The high voltage ringing also increases the switching loss. In addition, the switch voltage stress is not easily predictable because it is difficult to determine the magnitude of ringing during the design stage. The two-switch flyback DC-DC converter is an extended version of the single-switch flyback converter. The circuit arrangement with an addition of a power transistor and two clamping diodes to the conventional single-switch flyback converter leads to the two-switch flyback PWM DC-DC converter, which effectively reduces the switch overvoltage and eliminates the uncertainty of its value. The clamping diodes in the two-switch flyback converter clamps the voltage across each switch to the DC input voltage and also provide a path to return most of the energy stored in the transformer leakage inductance to the DC input source. In the first part of this research, detailed steady-state analyses of the two-switch flyback PWM DC-DC converter for continuous conduction mode (CCM) and discontinuous conduction mode (DCM) are performed. The transistor output capacitance
The Influence of Emotion Regulation and Neural Cognitive Control on Distress Tolerance

THE INFLUENCE OF EMOTION REGULATION AND NEURAL COGNITIVE CONTROL ON DISTRESS TOLERANCE Alicia L. Milam Old Dominion University, 2021 Director: Dr. Michelle Kelley Tolerance of negative emotions has been associated with transdiagnostic negative mental health outcomes. Theory and research implicate emotion regulation and cognitive control as factors in tolerance of negative emotions. But their unique contributions to tolerance of negative emotions and interdependency have been unclear due to methodological limitations. This study aimed to explicate cognitive and emotional factors affecting distress tolerance in a non-clinical sample of emerging adults. Undergraduate psychology students completed self-report measures of emotion regulation ability and tolerance of negative emotions. The N2 ERP component elicited by a Go-NoGo task was also used as a neurophysiological marker of cognitive control with larger mean difference amplitudes indicating greater cognitive control. Age correlated significantly with tolerance of negative emotions and cognitive control and was included as a covariate. Individuals with high emotion regulation ability were found to have greater tolerance of negative emotions. Larger mean N2 difference amplitudes predicted greater tolerance of negative emotions before age was added to the model, but was no longer significant when age was included as a covariate. No significant interactive effects were found between emotion regulatory ability and cognitive control predicting tolerance of negative emotions. These findings suggest that emotion regulation training may be the most appropriate target to increase tolerance of negative emotions. Future studies should increase power and assess emotional salience and temporal dynamics of self-regulation to further clarify the mechanism of these relationships.