Miracle-dz/UniFAR-FTUs huggingface dataset:
Sentiment analysis of Twitter texts using Machine learning algorithms

Since the two last decades social media networks have become a part of our daily life. Today, getting information from social media, tracking trends in social media, learning the feelings and emotions of people on social media is very essential. In this study, sentiment analysis was performed on Twitter text to learn about the subjective polarities of the writings. The polarities are positive, negative, and neutral. At the first stage of the sentiment analysis a public data set has been obtained. Secondly, natural language processing techniques have been applied to make the data ready for machine learning training procedures. Lastly sentiment analysis is performed by using three different machine learning algorithms. We reached 89% accuracy with Support Vector Machines, 88% accuracy with Random Forest, and 72% accuracy with Gaussian Naive Bayes classifier.
‘Our Forest School isn’t just the trees.’ Forest Schools: micro-communities for social and emotional development

ABSTRACT Forest School provision is a growing phenomenon in the UK due to its perceived impact on participant learning and wellbeing. This study sought to understand the impact of Forest School provision on the social and emotional development of participants using practitioner’s reflections. Semi-Structured interviews with six qualified Forest School Leaders explored practitioner experiences working with children and young people. A thematic analysis with a social-constructionist epistemology revealed three interrelated themes, which are inherent in the Forest School ethos. These themes show Forest Schools to be micro-communities constructed by participants. The study concluded that Forest School micro-communities are established by each Forest School that is formed. These micro-communities contribute to the social and emotional development of children and young people through the construction of a shared space, fostering a sense of community and a shared power paradigm between leaders and participants.
The Evolving Role of the Public Information Officer: An Examination of Social Media in Emergency Management

Abstract This work examines how the introduction of social media has affected the role of the Public Information Officer (PIO)—the public relations component of the National Incident Management System (NIMS). Through analysis of 25 PIO interviews, we examine the work practice of PIOs and find that social media expand not only the scope and type of PIO work activity, but also the “information pathways” that exist between PIOs, the media, and members of the public. We model these changes and examine how the presence of social media challenges previous conceptualizations of PIO work. Lastly, we present a view of how PIO work could be better imagined for the future of emergency management organizations.
Voltage-gated potassium channels (Kv) in GtoPdb v.2021.3

The 6TM family of K channels comprises the voltage-gated KV subfamilies, the EAG subfamily (which includes hERG channels), the Ca2+-activated Slo subfamily (actually with 7TM, termed BK) and the Ca2+-activated SK subfamily. These channels possess a pore-forming α subunit that comprise tetramers of identical subunits (homomeric) or of different subunits (heteromeric). Heteromeric channels can only be formed within subfamilies (e.g. Kv1.1 with Kv1.2; Kv7.2 with Kv7.3). The pharmacology largely reflects the subunit composition of the functional channel.
Measuring Tornado Dynamics with In-Situ Instrumentation

Making accurate barometric pressure measurements in tornado cores using an in-situ probe is difficult due to very high wind velocities, heavy rain, and wind driven debris. Special considerations apply to the shape of the probe, as it must remain stationary during tornado passage. In-situ pressure measurements are particularly challenging as wind flow over any object will decrease the local static pressure and cause an erroneous barometric pressure measurement. This is especially important for the wind velocities exceeding 80 meters/second typical inside tornado cores. A specially-designed hardened probe called a “Hardened In-Situ Tornado Pressure Recorder” (HITPR) has been developed by the author at Applied Research Associates Inc. The HITPR has addressed the abovementioned challenges by using a novel probe geometry that compensates for air flow curvature when measuring pressure, and has a high degree of aerodynamic stability. With this method, accurate measurements of the free-stream static pressure, wind speed, wind direction, temperature, and relative humidity can be made inside tornado cores. The measurement technique will be described in the present paper, as well as actual pressure measurements of tornado cores, including the 100 millibar pressure drop measured for a violent F-4 tornado on June 24th, 2003.
MILK LIPIDS AND SUBCLINICAL MASTITIS

This article deals with the process of obtaining quality raw milk by analyzing its lipid composition. The lipid composition of raw milk depends on many factors, among which, first of all, is the species, the composition of the diet and the physiological state of the breast. In recent years, a large amount of data has accumulated on the fluctuations of certain lipid parameters of milk depending on the type, age, lactation, diet, time of year, exercise, animal husbandry technology, physiological state of the lactating organism in general and breast status in particular. Factors of regulation of fatty acid composition of raw milk: genetically determined parameters of quality and safety; fatty acid composition of the diet; synthesis of fatty acids by microorganisms of the digestive tract; synthesis of fatty acids in the breast; physiological state of the breast. The milk of each species of productive animals has its own specific lipid profile and is used in the formulation of certain dairy products to obtain the planned technological and nutritional parameters. Diagnosis of productive animals for subclinical mastitis involves the use of auxiliary (thermometry, thermography, electrical conductivity) and laboratory research methods: counting the number of somatic cells; use of specialized tests; microbiological studies of milk; biochemical studies of milk. The biochemical component in the diagnosis of subclinical forms of mastitis is underestimated. An increase in body temperature implies an increase in the intensity of heat release during the oxidation of substrates, sometimes due to a decrease in the intensity of synthesis of energy-intensive compounds. There are simply no other sources of energy in the body. The situation is the same with certain parts of the metabolism, which are aimed at the development of protective reactions to the etiological factor aimed at the defeat of the breast. That is why the biochemical composition of breast secretions in the absence of clinical signs of mastitis undergoes biochemical changes and the task of scientists is to develop mechanisms for clear tracking of such changes, identification of animals with subclinical forms of mastitis and effective treatment.
IMAGE-DRIVEN COMPUTATIONAL MODELS OF THE HEART FOR TETRALOGY OF FALLOT

In the last decades, researchers have been striving to develop computational models of the beating heart. Shifting from model generality to patient specificity, recent studies are demonstrating the potential impacts of such models on the clinical workflow. This chapter introduces three image-driven computational models of the heart that combine statistical and physiological priors for diagnosis, prognosis and therapy planning in repaired tetralogy of Fallot (rToF), a severe congenital heart disease. We first illustrate how physiological priors about the cardiac mechanics make the estimation of myocardium strain more reli- able, thus improving disease diagnosis. An algorithm that automatically tracks the heart along image sequences is constrained to estimate elastic and incompressible deformations, two fundamental properties of the myocardium. Then, we estimate a generative model of the right ventricular (RV) remodelling in rToF patients for disease prognosis. Computed us- ing statistical shape analyses and partial least squares, the model suggested that the dilation, the basal bulging and the apical dilation typically observed in these patients appear progres- sively as the child grows. These findings could support the cardiologist in predicting the evolution of the pathology for planning pulmonary valve replacement (PVR), the current state-of-the-art therapy in rToF. Finally, we introduce an electromechanical (EM) model of the heart for personalised planning of PVR with RV volume reduction in two patients. The EM model simulates the main features of the beating heart. After personalisation, the virtual heart is used to simulate PVR. As expected, the predicted postoperative function significantly improved in both patients. As illustrated by these results, combining medical
An automatic modelling strategy for the reverse engineering of wrap-around freeform surfaces

In this paper, a modelling strategy is proposed for the reverse engineering of wrap-around freeform surfaces. The method only needs to manually select four boundary corner points from sampled points. Then sampled points are converted into 2D data points based on the viewpoint principle. Four boundaries of the planar point set are automatically extracted by using a boundary-tracing algorithm. A bilinear coons surface is subsequently established with the given curved boundaries. As a result, the parameterisation of sampled points is gained after thinning data points. Experimental results are finally given to testify the feasibility of the proposed approach.
Automatic Target Recognition for Mine Countermeasure Missions Using Forward-Looking Sonar Data

The detection of objects on the seafloor is a complex task. The domain of the detection and classification of naval mines is additionally complicated by the high risk nature of the task. Autonomous underwater vehicles (AUVs) have been used in naval mine countermeasures (MCM) operations to search large areas using sensors such as sidescan or synthetic aperture sonars. These sensors generally have a high coverage rate, while sacrificing spatial resolution. Conversely, sensors with higher resolution but lower coverage (such as forward-looking sonars and electro–optical cameras) are employed for the later classification and identification stages of the MCM mission. However, to autonomously execute a target reacquisition mission, it is important to be able to collect and process data automatically and, in near real time, onboard an AUV. For this purpose, an automatic target recognition (ATR) system is required. This article proposes an ATR, which can be used onboard an autonomous vehicle, capable of detecting mine-like objects in forward-looking sonar data. The ATR combines a detector and a classifier, based on convolutional neural network models, with a probabilistic grid map that filters out false positives and combines reported detections at nearby locations. A strategy, combining a survey pattern with target-mapping maneuvers automatically activated by the ATR, has been designed to maximize the performance of this ATR. The whole system has been tested in simulation as well as using data from previous MCM exercises, the results of which are presented here.
Microwave active filters based on coupled negative resistance method

A novel coupled negative resistance method for building a microwave active bandpass filter is introduced. Based on this method, four microstrip line end-coupled filters were built. Two are fixed-frequency one-pole and two-pole filters, and two are tunable one-pole and two-pole filters. In order to broaden the bandwidth of the end-coupled filter, a modified end-coupled structure is proposed. Using the modified structure, an active filter with a bandwidth up to 7.5% was built. All of the filters show significant passband performance improvement. Specifically, the passband bandwidth was broadened by a factor of 5 to 20. >
Oral Manifestations of a Patient Suffering from a Rare Gilbert’s Syndrome: A Case Report

Gilbert's syndrome is a rare genetic disorder characterized by abnormal glucuronidation of bilirubin in the liver, presenting as unconjugated hyperbilirubinemia in the absence of hepatocellular injury or hemolysis. Diagnosis of this pathology is primarily made during routine examination described as the presence of a yellowish tinge in the eyes and skin in general. Normally, the oral manifestations of Gilbert's syndrome are present but mostly go unnoticed as the teeth are minimally affected which are visible to the patient and surrounding mucosa in the oral cavity, where yellow discoloration can be appreciated. Dental treatments are smoothly carried out for such patients like extractions, root canal treatment, cleaning prophylaxis. The patient in this case safely underwent the root canal treatment after being diagnosed with irreversible pulpitis without any unusual discomfort. Local anesthesia can also be safely administered to such patients such as infiltration and inferior alveolar block anesthesia.
New approach for the low speed operation of the PMSM drives with rotational position sensors

A new approach to the position sensor elimination of permanent magnet synchronous motor (PMSM) drives for low speed operation is presented in this paper. Using the position sensing characteristics of the PMSM itself, the actual rotor position as well as the machine speed can be obtained even in the transient state. Since the essential back-EMF information is obtained from the direct measurement during a special test cycle named 'MCDI', the operating speed range of the sensorless drives can be extended to 10 RPM. Moreover, the chronic starting problem of the PMSM drives can be simply settled by the proposed algorithm. In order to verify the feasibility of the proposed scheme, experimental results on the low speed range about 10-100 RPM are also presented. <<ETX>>
Automated Intelligent Training with a Tactical Decision Making Serious Game

Abstract : The Intelligent Game-Based Evaluation And Review (InGEAR) capability is a game-based training system that affords junior officers the opportunity for self-training in tactical command skills. This leverages two existing technologies: (i) Follow Me, a small unit leader tactical training game used by instructors and cadets at the United States Military Academy at West Point, and (ii) an intelligent tutoring system (ITS) for automated delivery of tailored evaluation and feedback in scenario-based exercises. InGEAR's objective is to combine game-based training capabilities with learner-centric scenario editing, performance assessment, and feedback to enhance learning and simplify instructors' taskload. These capabilities provide instructors with viable options for dealing with time constraints that limit the opportunities most cadets have for direct feedback on their own decisions and performance.
The research of resonant frequency and modulation depth of Metamaterial THz modulator

The fundamental parameters of THz modulators based on the SRR structure metamaterial have been researched and found that the SRR size and opening width have a significant effect on the resonant frequency, meanwhile the thickness and width of this structure are very weak influence on the resonant frequency. The resonant frequency and response time have been calculated theoretically. The resonant frequency fits the simulation results well, and response time is mainly determined by the carrier lifetime which is in nanosecond order. We also proposed a program of experimental measurements of the SRR modulation speed. Finally we simulated a special SRR structure with metal strips on the back of wafer to increase modulation depth significantly.
Power absorption by closely spaced point absorbers in constrained conditions

The performance of an array of closely spaced point absorbers is numerically assessed in a frequency domain model. Each point absorber is restricted to the heave mode and is assumed to have its own linear power take-off (PTO) system. Unidirectional irregular incident waves are considered, representing the wave climate at Westhinder on the Belgian Continental Shelf. The impact of slamming, stroke and force restrictions on the power absorption is evaluated and optimal PTO parameters are determined. For multiple bodies optimal control parameters (CP) are not only dependent on the incoming waves, but also on the position and behaviour of the other buoys. Applying the optimal control values for a single buoy to multiple closely spaced buoys results in a suboptimal solution for the array. Other ways to determine the PTO parameters are diagonal optimisation (DO) and individual optimisation. These methods are applied to two array layouts consisting of 12 buoys in a staggered grid and 21 buoys in an aligned grid. Compared to DO, it was found that individually optimising the CP increased the energy absorption at Westhinder with about 16-18% for the two layouts, respectively.
The P,Q controllable domain of a single phase PWM converter to preserve sinusoidal AC current waveform

The P,Q controllable domain for any single phase utility-interactive voltage source PWM power converter to preserve the AC current waveform as a sinusoid, is derived mathematically to form an ellipse determined by its mains circuit parameters, independent of the PWM types. The elliptical domain has been examined by both digital simulation and experiment.
The conceptualisation and operationalisation of talent management : the case of European internationally operated businesses

Talent management (TM), both as a practice and an academic sub-discipline, lacks a strong conceptual foundation. This limitation significantly inhibits understandings of TM in its international dimensions. Accordingly the overarching aim of this thesis is to contribute to an overdue reassessment of TM within the international context by redressing the empirical and theoretical deficiencies, which are a direct hindrance to development of the field. The philosophy adopted was interpretivist, involving qualitative methods, that is, semi-structured interviews and documentary analysis were employed in data collection from 17 informant companies based in several European countries. This study makes highly significant contributions in four major ways. Firstly, the empirical contribution is made through employing two phases of primary research. Phase One was an exploration of TM practices in 14 internationally operating organisations representing eight industries. Out of Phase One arose the notion of expectations as a key influence shaping TM in practice as well as indicating managerial and individual dimensions. Thus Phase Two explored the conceptualisation and operationalisation of TM from the perspective of management, on the one hand and talented employees, on the other. This was a highly significant step in the understanding of TM, because most empirical studies have tended to focus on managerial views. Secondly, the methodological contribution results from the novel adoption of narratives in analysing case studies. This approach made it possible to gain insights into TM as lived experience especially on the part of employees selected as talented. Thirdly, the conceptual contribution arose from (i) contrasting and distilling the essence of many lax definitions of talent and TM; (ii) identifying the visible and invisible elements of TM in the domain of practice and(iii) employing a dual theoretical framework which integrated human capital theory and expectancy theory. Significantly the dual framework also offers a re-conceptualisation of TM as a social process in which various stakeholders are revealed to have disparate interests. Indeed the framework led to the notion of fracture in TM as a result of misalignment of expectations of management, on the one hand, and talent-managed employees, on the other. Lastly, by dint of the dual theoretical framework the study adds to the understanding of TM a new lens through which senior managers (and researchers) can clearly identify the gap between managerial intentions and the practical reality.
INFORMATION FOR DEVELOPMENT OF AN EDUCATIONAL PROGRAM TO REDUCE FATIGUE-RELATED TRUCK ACCIDENTS

This report provides information for the development of a heavy vehicle driver education package regarding fatigue. Driver fatigue is recognised as a contributory factor in some accidents. It is more likely to be associated with long hours of driving, without adequate rest periods, loss of sleep, food or drug intake and night driving. Various methods are recommended to counteract fatigue. They include limitation of total driving hours, regular rest stops before fatigue sets in, avoidance of alcohol and drugs (although moderate use of caffeine is not harmful), use of radio to maintain alertness and adequate cabin ventilation, as well as introducing variation in the driving environment. (Author/TRRL)
Universal voltage- and current-mode OTAs based biquads

Novel voltage- and current-mode multifunctional biquads using OTAs are presented. The proposed circuits utilize only three OTAs and two capacitors. The voltage-mode circuits are capable of realizing three different simultaneous responses; while the current-mode version can realize four filtering outputs (lowpass, bandpass, highpass and notch) simultaneously.
Polyethylene Glycol Plus Linaclotide is an Effective Bowel Preparation Regimen for Patients with Bristol Stool Scale 1-2: a Randomized Controlled Trial

Background: To evaluate the effect of using linaclotide as an adjunctive agent with 3L polyethylene glycol (PEG) for bowel preparation among patients with Bristol stool form (BSFS) 1-2. Methods: Patients with BSFS 1-2 randomly received either 3L PEG (group A) or linaclotide plus 3L PEG (group B), patients with BSFS 3-7 received 3L PEG (group C) for bowel preparation. The primary outcome was the rate of adequate bowel preparation. The secondary endpoints were the polyp detection rate (PDR), acceptability and tolerability. Results: A total of 315 patients who underwent colonoscopy were enrolled. In per-protocol analysis, patient in group B attained significantly satisfactory bowel preparation rate than group A (77.9% vs 61.8%, PAB=0.049). The PDR in group B was significantly higher than group A (32.7% vs 15.7%, PAB=0.004), especially in rectosigmoid (25.0% vs 8.8%, PAB=0.002). Conclusion: 3L PEG plus 290ug Linaclotide can significantly improve the quality of bowel preparation and the colorectal polyps detection rate in patients with BSFS 1-2. The bowel preparation regimens is an effective and well-tolerated bowel preparation regimen.Trial registration: The study was registered at Chinese ClinicalTrials.gov (ChiCTR2100050437, 27/8/2021)
Optimal design of electronic system utilizing an integrated multidisciplinary process

An investigation is conducted to develop an integrated model for electronic equipment design and to propose a solution method for the generated multi-attribute optimization problem. An integrated system model that incorporates all domain specific knowledge is developed that can track dependencies among the domains under study here. The overall multidisciplinary optimization problem as defined by the objective function, constraint set and design variables are formulated, and nonlinear solution methods are employed. To present the optimal solution for the electronic equipment design, the influence of several design-related functions on the objective function is examined. Additionally, the influence of weighting functions on the value of each individual function is determined. Finally, a multiattribute analysis is performed and the influence of each domain on the overall system is studied. First order and detailed optimization analysis are conducted to understand the sensitivity of each engineering field on the overall design. It is evident that not all the engineering fields are equally important in the design optimization. An amplifier, located on a shelf in a frame, used in the industry was utilized for a case study.