Miracle-dz/UniFAR-FTUs huggingface dataset:
Substance Use Disorders as a Critical Element for Decision-Making in Forensic Assertive Community Treatment: A Systematic Review

Introduction: The prevalence of substance use disorders in forensic populations is high. They are an important factor linked to negative outcomes in mentally ill offenders and are detrimental to forensic or non-forensic outcome measures. In contrast, substance use disorders are often underdiagnosed and undertreated, especially in forensic settings. Forensic Assertive Community Treatment is a forensic adaptation of regular assertive community treatment, combined with essential elements of forensic rehabilitation theories. Little is known however on the effectivity of forensic assertive community treatment when it comes to substance use disorders or what their exact role is on the outcome measures. In this paper, we explore how SUD is treated in Forensic assertive community treatment and how it relates to the forensic and non-forensic outcome measures. Methods: We performed a systematic review (PRISMA) of forensic Assertive community treatment teams that followed the main evidence-based principles of regular assertive community treatment and added basic elements of forensic rehabilitation. We analyzed articles the Psychinfo and Medline databases dating from 2005 to 2020. Fifteen studies fit the search criteria and were included in the analysis. The Quality of the studies was assessed using the Newcastle-Ottawa scale. Results: SUD was highly prevalent in all studies. Patients entered FACT through two pathways, either from a care continuum or directly from prison. The severity of SUD at intake emerges as a critical element when deciding which pathway to choose, as a high severity-score at the start of FACT follow-up was linked to recidivism. While differing in method all studies offered integrated SUD treatment. These included evidence-based techniques like CBT, therapeutic communities, and Substance Abuse Management Module. Though results on SUD outcomes were mixed 4 studies mentioned abstinence in 50–75%. The severity of SUD tended to increase initially and to stabilize afterwards. Conclusion: Severity of SUD at intake emerges as a decisive element in decision-making on entering FACT teams directly from prison or through a care-continuum. The ways to provide SUD treatment varied and outcomes for SUD were mixed. SUD was found to be detrimental to forensic and non-forensic outcome measures, such as recidivism or hospitalizations during FACT treatment.
Graphene-Based Scaffolds: Fundamentals and Applications for Cardiovascular Tissue Engineering

Cardiac tissue engineering requires materials that can faithfully recapitulate and support the native in vivo microenvironment while providing a seamless bioelectronic interface. Current limitations of cell scaffolds include the lack of electrical conductivity and suboptimal mechanical properties. Here we discuss how the incorporation of graphene into cellular scaffolds, either alone or in combination with other materials, can affect morphology, function, and maturation of cardiac cells. We conclude that graphene-based scaffolds hold great promise for cardiac tissue engineering.
Security Cost Analysis with Linear Ramp Model using Contingency Constrained Optimal Power Flow

This paper proposes a novel technique for calculating the security costs that properly includes ramping constraints in the operation of a deregulated power system. The ramping process is modeled by a piecewise linear function with certain assumptions. During this process, a ramping cost is incurred if the permissible limits are exceeded. The optimal production costs of the power producers are calculated with the ramping cost included, considering a time horizon with N-1 contingency cases using contingency constrained optimal power flow (CCOPF), which is solved by the primal-dual interior point method (PDIPM). A contingency analysis is also performed taking into account the severity index of transmission line outages and its sensitivity analysis. The results from an illustrative case study based on the IEEE 30-bus system are analyzed. One attractive feature of the proposed approach is that an optimal solution is more realistic than the conventional approach because it satisfies physical constraints, such as the ramping constraint.
Modelling the Yaw Behaviour of a Small Wind Turbine

This paper develops a mathematical model for a small wind turbine responding to changes in the wind direction. Here “small” implies that the turbine has a tail fin. Good yaw behaviour, in terms of tracking the changes in wind direction, is necessary to maximize power extraction. However large rates of change of yaw can lead to large stresses in the turbine components. The unsteady tail fin loads are more complex than implied by the “pseudo-static” assumption that the steady-state lift and drag act instantaneously. The aerodynamic model is applied first to data obtained from a 5 kW experimental turbine when it was not extracting power, because this almost removes the effect of the blades from the yaw behaviour. MATLAB's systems identification toolbox was used to optimise the fit of the model parameters to the data. The resulting values of a number of the parameters are shown to be in good agreement with earlier wind tunnel tests of the tail fin design. Some details of the comparisons, mainly in terms of the higher frequency components, suggest the need to characterise similarly the dynamics of wind vanes. When the turbine was extracting power, the flexible blades were deflected backwards by the aerodynamic loads. A blade element analysis suggests that the stabilizing moment due to this “coning” does not alter the form of the yaw response equation. The optimised fit of the model equations gave changes in the parameters broadly in agreement with the blade element analysis, but the quasi-steady analysis did not predict the measured increase in the damping associated with power extraction.
CONTEXT-AWARE BASED RESTAURANT RECOMMENDER SYSTEM: A PRESCRIPTIVE ANALYTICS

Providing recommendations for products or services based on users’ preferences and current conditions could be more efficient by using a context-based recommender system. It is important and useful to understand the consideration of what should be done by users to visit (prescriptive analytics) based on processed input data optimization. However, discussions and analysis of this system use are still limited. It is noted that prescriptive models can be developed by utilizing or optimizing inputs based on the chosen class rating. In the prediction function, the context-based recommender system can not only be used to predict Good, Neutral, and Bad rating values to produce predictive analytics, but also can be used to optimize input to produce prescriptive analytics. It can be seen that the evaluation of rating predictions using Deep Learning Models showed high accuracy in the performance compared to the Decision Tree and Random Forest. In this model, classification errors were considered the smallest compared to other models. Evaluation of input optimization for prescriptive analytics for class rating predictions showed the highest performance. The research contributes to a better understanding of developing a predictive and prescriptive analytics approach to a context-based recommender system model.
DYNAMIC AMPLIFICATION FACTOR AND RESPONSE SPECTRUM FOR THE EVALUATION OF VIBRATIONS OF BEAMS UNDER SUCCESSIVE MOVING LOADS

Analytic expressions of the dynamic amplification factor and the characteristic response spectrum are derived for weakly damped beams with various boundary conditions subjected to point loads moving at constant speeds. These coefficients are given as functions of the ratio of the span length to the loads wavelength, and the loads wavelength respectively. They allow a rapid calculation of the vibration amplitudes induced by a succession of moving loads on a beam. These results are particularly useful in the context of railway bridges preliminary design and assessment of the expected maximum vibration levels under high-speed trains.
Sparse Group Model Selection

—We study the problem of signal recovery for group-models. We derive model projection complexity results and algorithms for more general group models than the state-of-the-art. We consider the classical Iterative Hard Thresholding algorithm (IHT) and its approximate version (AM-IHT). We apply both variants to group-models and analyse the two cases where the sensing matrix is a Gaussian matrix and a model expander matrix.
Series of radiation-hardened, high efficiency converters for high voltage bus

A review of common switching techniques for dc/dc power conversion is presented. The evolution of the forward converter is discussed, leading naturally to the introduction of the double forward converter. Technical details for a series of radiation-hardened converters are then provided. This series was designed for space power management and distribution (PMAD) applications. The successful development of the PMAD converter demonstrated the viability of high voltage bus.
End of a mystery: Integrative approach reveals the phylogenetic position of an enigmatic Antarctic tardigrade genus Ramajendas (Tardigrada, Eutardigrada)

Phylogenetic position of the enigmatic Antarctic tardigrade genus Ramajendas was clarified using specimens from King George Island, Antarctic. Molecular phylogenetic analysis revealed a close affinity of Ramajendas to the superfamily Isohypsibioidea. At the same time, its standalone position within this clade prompted the erection of a new family Ramajendidae fam. nov. A detailed morphological description of the available specimens is given, and the diagnosis of the genus Ramajendas is amended. Taxonomical status of several previous findings of Ramajendas spp. in West Antarctica is discussed.
A Curation Activity-Based Self-Regulated Learning Promotion Approach as Scaffolding to Improving Learners’ Performance in STEM Courses

Self-regulated learning (SRL) is an important method in STEM courses that can help learners acquire knowledge by discovering, organizing, and integrating materials. However, learners may not perform well without scaffolding, which results in purely participation in tasks without solid knowledge acquisition. To guarantee SRL effectiveness, scaffolding that can support learners’ knowledge discovery, organization and integration is needed when curation is introduced to support high-level cognition in STEM courses focusing on these facets. The researchers analyzed the advantages and procedures of curation and developed a curation tool and a curation activity-based SRL mode. To verify the effects of the proposed tool and mode, 64 Grade 7 students were involved and assigned to the experimental and control groups and learned with specific tasks. The results revealed that the experimental group showed interest in the mode and achieved better learning outcomes. Learners in the experimental group also submitted higher-quality practical work that demonstrated the effectiveness of the mode. Moreover, this approach promoted deep thinking without increasing the learners’ cognitive load. Finally, this study provided an innovative scaffolding tool and mode for SRL that leveraged learners’ knowledge acquisition and task completion. This idea has positive implications for future SRL research.
Types of sedation used in pediatric dentistry

Childhood dental anxiety usually results from painful and frightening dental traumas. Accordingly, children might want to avoid dental treatment if not adequate precautions were not taken during these settings. Thus, sedation is being widely used in different dental settings with favorable outcomes. In the present literature review, we have discussed sedation's different types and approaches in pediatric dentistry settings. We also reviewed the main medications that can be administered in these settings, together with the potential routes of administration, safety and contraindications. As a result, the pediatric dentist should identify patients suitable for sedation, choose the right type of sedation, prepare the media for successful procedures, and select the proper medication. Careful monitoring and adequate preparation are also critical to enhance the prognosis and manage the potential complications. Eventually, sedation might improve the compliance of pediatric patients and reduce the dilemma of fear from painful dental procedures. This has been associated with favorable outcomes for the dentist, as well. Therefore, further research is needed for additional validation and innovation in this field.
Design and Evaluation Function Block of Inserts for Heavy Cutting

This article develops the design and evaluation function block of inserts on the basis of the optimization database system of cutting parameters for large cylinder section. The function block completes the development combining 3D graphics software called SolidWorks with programming language called VB. This article achieves the design and evaluation functions which are inserts shape selection, inserts parameter design, inserts geometric characteristics design and finite element simulation of inserts. Finally, this paper proves the reliability of the result which is achieved from the design and evaluation function block of inserts by comparing with traditional inserts.
The planning and implementation of a site investigation for a highway in tropical conditions in Fiji

Summary The paper outlines the planning and implementation of a site investigation carried out on a limited budget for 110 miles of proposed new highway in Fiji. A comparison is drawn between the cost of investigation of earthworks and general foundation conditions, rock materials, and engineering structures, estimated during the planning stage by allocating funds in the same proportion as the estimated construction cost, and the actual cost of investigation of each. The programming and staffing of the investigation are considered. Examples are quoted showing how economical results were obtained by the use of geotechnical expertise in tropical soils. Attention is drawn to the method of classifying residual soils in grade zones developed during the investigation according to their geotephnical properties. Problems of laboratory investigations of tropical materials are considered. The value of large scale tests such as trial embankments as a means of assisting in the preparation of a realistic compaction specification for residual soils, and also as a means of testing construction methods in swamp areas are discussed.
Assessment of the Performance of the Adaptive Thresholding Algorithm for QRS Detection with the Use of AHA Database

Two modifications of an adaptive thresholding algorithm for heart beat detection have already been developed. The threshold combines three parameters: an adaptive slew- rate value, a second value which rises when high-frequency noise occurs, and a third one intended to avoid missing of low amplitude beats. The current study assesses the performance of a new modification of the combined adaptive thresholding method for heart beat detection with the use of AHA database. The results are: Mod. 1 Se=99.58 %, Sp=99.83 %; Mod. 2 Se=99.73 %, Sp=99.83 %; Mod. 3 Se=99.78 %, Sp=99.85 %. The statistical indices are higher than, or comparable to those, cited in the scientific literature.
The effect of environmental variables on nightly activity patterns of insectivorous bats monitored over ten years in a tropical premontane forest, Costa Rica

ABSTRACT We investigated the role of environmental and temporal variables on the activity of 20 species of aerial insectivorous bats at a site in tropical premontane forest in Monteverde, Costa Rica. The primary study site was an opening in secondary forest adjacent to the Children’s Eternal Rainforest. We passively monitored the echolocation calls of all bats detected by an Anabat II detector all night for 1,147 nights from November 2000 through August 2010, from which we were able to identify the species in more than 250,000 bat passes. Simultaneously, we recorded environmental variables. Five species accounted for most of the activity, but the relative frequency of these species fluctuated widely over the ten-year period. The likelihood of any one of the three most common species being present was significantly influenced by wind, rain, phase of the moon, the time of night, the season of the year, and the presence of the other two species. In general, strong winds are associated with an increase in bat activity, moderate to heavy rain seems to halt bat activity, full moon appears to depress bat activity, and bats seem to be most active early in the evening. The number of bat passes at the study site declined over the ten-year period, possibly at least partially due to bat preference for foraging near bright lights, which increased markedly during the period due to development for tourism.
Assessment of Tug of War pullers competition intensity and physiological response at the 2019 European Championship

Tug of war (TOW) involves 2 teams of eight people, pulling against each other on a rope. The main goal of TOW is to pull the opposing team towards a centre line over a distance of 4 m. The measurement of physiological parameters is key to understanding the demands of an activity and to identifying its limiting performance factors. The main aim of this study was to evaluate the intensity and effort demands of TOW pullers during competition, as follows: Data were collected from 7 male pullers (Height: 175.14±4.85; Body Mass: 77.39±3.92; Age: 39.86±11.68; %Fat: 17.56±5.21; VO2max: 44.24±8.38) in the 560 kg category. The blood lactate concentrations (LAC) were assessed before and at the end of each pull, and the global rating of perceived exertion (RPE) at the end of the pulls. The following week, pullers performed a graded exercise test (GXT). Heart rate, LAC and RPE were assessed before, during and at the end of the GXT to calculate the individual anaerobic threshold. The mean blood lactate concentrations recorded at the end of the pulls (6±1.9 mmol/l) were 32% higher than the mean values recorded for the individual anaerobic threshold intensity (4.1±0.5 mmol/l). For their part, the mean RPE values of athletes after the pulls (6±1.5 mmol/l) were 21% lower than those obtained for intensity of the individual anaerobic threshold (7.6±0.8 mmol/l). The intensity and effort response are greater and kept above the anaerobic threshold during the competition in TOW pullers. Resumen. Tug of war (TOW) involucra a 2 equipos de ocho personas, tirando una contra la otra con una cuerda. El objetivo principal es llevar al equipo contrario hacia una línea central a una distancia de 4 m. La medición de parámetros fisiológicos es clave para comprender las demandas de una actividad y para identificar sus factores limitantes de rendimiento. El objetivo principal de este estudio fue evaluar la intensidad y las demandas de esfuerzo de los tiradores de TOW durante la competición. 7 tiradores masculinos (altura: 175,14 ± 4,85; masa corporal: 77,39 ± 3,92; edad: 39,86 ± 11,68; % de grasa: 17,56 ± 5,21; VO2max: 44,24 ± 8,38) en la categoría de 560 kg. Se evaluaron concentraciones de lactato (LAC) antes y después de cada tirada, y el esfuerzo percibido (RPE) al final. La siguiente semana, los tiradores realizaron una prueba de esfuerzo (GXT). La FC, LAC y RPE se evaluaron antes, durante y después del GXT para calcular el umbral anaeróbico individual. Las concentraciones de LAC registradas medios registrados para la intensidad del umbral anaeróbico individual (VT2) (4,1 ± 0,5 mmol/l). Los valores medios de RPE de los deportistas en competición (6 ± 1,5 mmol/l) fueron un 21% inferiores a los obtenidos para la intensidad del VT2 (7,6 ± 0,8 mmol/l). La intensidad y la respuesta al esfuerzo son mayores y se mantienen por encima del VT2 durante la competición en tiradores TOW al final de los tirones (6 ± 1,9 mmol/l) fueron un 32% más altas que los valores.
A novel method to create intelligent sensors with learning capabilities

A formal theory for the development of a generic model of an autonomous sensor is proposed and implemented. An autonomous sensor not only interprets the acquired data in accordance with an embedded expert system knowledge base, but is also capable of using this data to modify and enhance this knowledge base. Hence, the system is capable of learning and thereby improving its performance over time. The main objective of the model is to combine the capabilities of the physical sensor and an expert operator monitoring the sensor in real-time. The system has been successfully tested using various simulated data sets and a real thermistor that has been developed as an autonomous sensor.
Production of vitamin A and vitamin E: expression of vitreoscilla hemoglobin gene in Erwinia herbicola

Abstract Vitamin A prevents eye problems, blindness and skin problems by strengthening the immune system. Vitamin E is a nutrient that has important roles in many areas such as skin health, eye health and hormonal order. Vitreoscilla hemoglobin (VHb) gives an advantage in later phases of grown conditions to cells. In this study, the intracellular and extracellular production of vitamin A and E in E. herbicola and its recombinant strains (vgb– and vgb+) in the three different M9 mediums with supplemented 0.1% glucose, 0.1% fructose and 0.1% sucrose was investigated. Additionally, the viable cell number and total cell mass (OD600) were measured by the host and the recombinant bacteria in these mediums. The VHb gene expression in E. herbicola enhanced vitamin A under different carbon conditionals. Especially, in the vgb + strain (carrying vgb gene) the production of total vitamin in 0.1% glucose medium was recorded as 0.14 µg/ml, while the production in fructose and sucrose media was recorded as 0.07 µg/ml. The production of intracellular vitamin E in the host strain (0.025 µg/ml) was about 13-fold (0.002 µg/ml) higher than vgb + recombinant strain in 0.1% fructose. The vgb + strain showed about 2-fold higher extracellular vitamin E production than the host strain.
A Spatial Transcriptomics Study of the Brain-Electrode Interface in Rat Motor Cortex

The study of the foreign body reaction to implanted electrodes in the brain is an important area of research for the future development of neuroprostheses and experimental electrophysiology. After electrode implantation in the brain, microglial activation, reactive astrogliosis, and neuronal cell death create an environment immediately surrounding the electrode that is significantly altered from its homeostatic state. To uncover physiological changes potentially affecting device function and longevity, spatial transcriptomics was implemented in this preliminary study to identify changes in gene expression driven by electrode implantation. This RNA-sequencing technique (10x Genomics, Visium) uses spatially coded, RNA-binding oligonucleotides on a microscope slide to spatially identify each sequencing read. For these experiments, sections of rat motor cortex implanted with Michigan-style silicon electrodes were mounted on the Visium slide for processing. Each tissue section was labeled for neurons and astrocytes using immunohistochemistry to provide a spatial reference for mapping each sequencing read relative to the device tract. Results from rat motor cortex at 24 hours, 1 week, and 6 weeks post implantation showed up to 5811 differentially expressed genes between implanted and non-implanted tissue sections. Many of these genes are related to biological mechanisms previously reported in studies of the foreign body response to implanted electrodes, while others are novel to this study. These results will provide a foundation for future work to both improve and measure the effects of gene expression on the long-term stability of recordings from implanted electrodes in the brain. Ongoing work will expand on these initial observations as we gain a better understanding of the dynamic, molecular changes taking place in the brain in response to electrode implantation.