Miracle-dz/UniFAR-FTUs huggingface dataset:
Innovations in bridging and foundation education in a tertiary institution

A 2006 survey of programs at Unitec, New Zealand concluded that, in the main, Unitec programs and courses were not meeting student needs in the area of foundation and bridging education. Invoking international research and practice, a report was compiled proposing a number of recommendations to remedy this situation. Academic Board, in accepting recommendations that were based on developing and re-developing foundation and bridging courses and programs to better staircase students into degree programs, and to support first-year students in undergraduate degree programs, has challenged the Unitec community to think in new ways about the needs of students entering the institution. It was argued in the report that the key determinant in developing these strategies should be the need to provide students with bridging/foundation education that supports them to develop the contextualised discipline knowledge and academic literacies they need in order to transition to the next level of study as independent, critical learners - as students who know 'how to learn'. Over the last few months, many exciting and challenging developments have occurred in relation to this initiative. This paper begins by examining the research that informed the recommendations in the report. Initiatives that are proposed or underway arel then outlined, and discussed in conjunction with examples of the challenges associated with making this shift in institutional thinking and practice.
Level of Service Analysis of Freeway Weaving Segments

This paper reports on the product of NCHRP Project 3-75, which resulted in the development and calibration of new models for freeway weaving segments, including a draft chapter for the forthcoming Highway Capacity Manual (HCM). The most critical element of the current procedures in the HCM 2000 is the prediction of the average speeds of weaving and nonweaving vehicles in the weaving segment. These speeds are converted to an overall density for the segment that determines the prevailing or expected level of service. The proposed method does away with the strict assignment of weaving geometries to one of three configuration categories and also the need to determine whether the operation of the weaving segment is constrained or unconstrained. That approach led to the need to calibrate 12 equations to predict speeds. In research, this greatly increased the size of the desirable database for calibration. The new approach relies on the prediction of lane-changing activity within the weaving segment to quantify the impact of configuration and type of operation on resulting speeds and densities.
Literature Review: Transplacental Transmission of COVID-19 and Its Teratological Aspect

Coronavirus disease 2019 (Covid-19) pandemic affects all populations, including pregnant women. Severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) infection in pregnancy needs to be a concern because of the risk of transplacental transmission to the fetus and the potential to interfere with fetal development. The objective of this study is to review the transplacental transmission of COVID-19 and the teratological aspects of the event. This article is a literature study. Based on the literature obtained, placental infection, vertical transmission, and fetal infection have been identified in some cases. However, there is still no consistent and enough scientific evidence to show that those condition causes fetal damage or causes congenital anomalies. Virus and host characteristics are thought to explain why SARS-Cov-2 infection has not shown a teratological effect. SARS-CoV-2, similar to severe acute respiratory syndrome (SARS) and the Middle East respiratory syndrome (MERS) infection, does not indicate maternal-fetal transmission. The low-level expression of angiotensin-converting enzyme 2 (ACE2) and S protein priming proteases type II transmembrane serine protease (TMPRSS 2) in the placenta is also considered to be the factor that plays a role in inhibiting the vertical transmission of COVID-19. Adverse outcome of fetal death is more due to pathophysiological conditions of maternal health caused by SARS-CoV-2 infection during gestation.
BIDIRECTIONAL MODELLING OF HIGH-DAMPING RUBBER BEARINGS

High-damping rubber (HDR) bearings are used in seismic isolation applications for buildings and bridges, although no models are currently available for the accurate description of the shear force-deformation response under bidirectional loading. A strain rate-independent, phenomenological model is presented which effectively represents the stiffness, damping, and degradation response of HDR bearings. The model decomposes the resisting force vector as the sum of an elastic component in the direction of the displacement vector and a hysteretic force component parallel to the velocity vector. The elastic component is obtained from a generalised Mooney—Rivlin strain energy function, and the hysteretic component is described by an approach similar to bounding sur-face plasticity. Degradation is decomposed into long term (“scragging”) and short term (“Mullins' effect”) components. Calibration is carried out over a series of bidirectional test data, and the model is shown to provide a good match of slow strain-rate experimental data using a unique set of material parameters for all tests. A testing protocol and calibration of the model for use in design of structures with HDR bearings are discussed.
Covid-19 Pandemi Sürecinde Havacılık Sektöründe Çalışanların Karar Verme Stillerinin Motivasyonlarına Etkisinin İncelenmesi (Investigation of the Effect of Decision Making Styles of Employees in the Airline Sector on Employee Motivation in the Covid-19 Pandemic Process)

Doğal afetler, salgınlar ve benzeri kriz durumlarının tüm dünya ülkelerinde hem sosyal hem de ekonomik etkilerinin kaçınılmaz olduğu görülmektedir. Bu araştırmada Covid-19 pandemi sürecinde havacılık sektöründe çalışanların karar verme stillerinin motivasyonlarına olan etkisi incelenmiştir. Türkiye’de görev yapmakta olan havayolu çalışanları, araştırmanın evrenini oluşturmaktadır. Araştırmada tüm evrene ulaşılması mümkün olmadığı için örneklem alma yoluna gidilmiştir. Araştırma amacı kapsamında 392 havayolu çalışanına kolayda örneklem yöntemiyle anket formu doldurtulmuştur. Katılımcılara çalışan karar verme stili ve çalışan motivasyonuna yönelik ifadeler yöneltilmiştir. Araştırmanın analiz aşamasında Smart PLS-SEM istatistik programı kullanılmıştır. Araştırma sonuçlarına göre sezgisel, kaçınma ve kendiliğinden-anlık karar verme stillerinin çalışan motivasyonuna olumlu yönde etkisi olduğu gözlemlenmiştir. Diğer yandan rasyonel ve bağımlı karar verme stillerinin çalışan motivasyonuna olumlu yönde anlamlı bir etkisine rastlanılmamıştır.
Response of Bulk Flowmeters to Multiphase Flows

This review has attempted to select the most recent references with the most useful data. It does not cover local velocity measurements or related parametric measurements. The nature of multiphase and multi-component flow is briefly considered. Data on existing flowmeter designs in two-component flow suggest that the most likely contenders for fiscal measurement precision are venturi, positive displacement, electromagnetic and correlation flowmeters. There are inadequate data so far to determine the eventual usefulness of the Coriolis mass flowmeter. Flowmeter combinations of volume and momentum sensing have been used to deduce mass flow, as have combinations of volume flowmeter and densitometer. Major systems under development incorporate many sensors to measure both combined and separated flows. The discussion section seeks to give a general insight into the topic and the associated problems by identifying common themes across a number of meters. Various topics are discussed which relate to the problem of precise multi-component flow measurement: what to measure; gas entrapment; ancillary equipment; dynamic modelling; damage; physical effects; whether to separate the components; the need for calibration. The review concludes by identifying future areas where academe and industry can contribute, particularly if they do so collaboratively.
Effect of Postharvest Application of Edible Coatings and Packaging on Acid Lime Fruit var. SunKagati 1 Quality at Ambient Storage Condition

Sunkagati-1 is one of the commonly grown acid limes recommended for terai region of Nepal with main season production from Shrawan to Poush. In recent year, area of acid lime is increasing while no appropriate technology of postharvest is available for it. An experiment was carried out with an objective to assess the influence of edible oil coatings and packaging on storage life of acid lime fruit. Fruits were harvested at physiologically mature stage with smooth and shiny appearance and treated with four edible oils (coconut oil, mustard oil, sesamum oil and castor oil), liquid paraffin 10% wax emulsion and 25 micron low density polyethylene (LDPE) packaging. The study was conducted in completely randomized block design (CRD) with seven treatments and three replications. Fruits were kept at ambient condition (20±1.55 ºC, 65±6.5 % RH) till 24 days and analyzed for various postharvest physical, chemical and physiological parameters after 8th, 16th and 24th days of storage. The result showed that LDPE packaging has significant effect on reduction of physiological loss in weight (1.69 %), spoilage loss (5.17 %), higher vitamin C content (60.11 mg/100g), Titratable acidity (6.71 %) and development of marketable color viz., 100% yellow color. Also, coconut oil showed significantly better postharvest quality retention with reduced physiological loss in weight (10.83 %) and spoilage loss (10.45 %). This study concluded that LDPE packaging and coconut oil coating are the appropriate method to extend the storage life of acid lime in ambient condition of mid hills situation.
Seismic attributes combination to enhance detection of bright spot associated with hydrocarbons

This paper describes a seismic object detection method using supervised neural networks to combine seismic attributes and transform them into a single ‘object probability’ attribute. Unlike other widely used methods, the approach incorporates interpreter's knowledge into the well-known process of combination of multiple attributes. In fact, the interpreter decides the anomaly to be addressed and picks examples of anomalies for the neural networks. The approach completely relies on the interpreter to select the input attributes. However, the limitation that this approach has over other approaches is that it does not incorporate machine intelligence to validate attribute selection. Thus, the present study attempts to overcome this limitation and uses neural networks in the process. The integration of a neural network has played a key role in determining the type and number of attributes used in the prediction and, thus, gives the approach more reliability and confidence. Furthermore, with the help of the neural network, an appropriate group of attributes could be successfully determined and they could be combined into one object probability attribute that made it possible to clearly localize and delineate three bright spots associated with shallow gas in the Upper Pliocene-Pleistocene off the Dutch coast.
Hierarchy in language interpretation: evidence from behavioural experiments and computational modelling

ABSTRACT It has long been recognised that phrases and sentences are organised hierarchically, but many computational models of language treat them as sequences of words without computing constituent structure. Against this background, we conducted two experiments which showed that participants interpret ambiguous noun phrases, such as second blue ball, in terms of their abstract hierarchical structure rather than their linear surface order. When a neural network model was tested on this task, it could simulate such “hierarchical” behaviour. However, when we changed the training data such that they were not entirely unambiguous anymore, the model stopped generalising in a human-like way. It did not systematically generalise to novel items, and when it was trained on ambiguous trials, it strongly favoured the linear interpretation. We argue that these models should be endowed with a bias to make generalisations over hierarchical structure in order to be cognitively adequate models of human language.
Implementation of a controlled rectifier using AC-AC matrix converter theory

Current optimum PWM (pulse-width-modulation) strategies are often difficult to physically implement or not easily extended to regenerative operation. The authors propose an alternative PWM strategy based on current AC-AC matrix converter theory, which generates only high-order switching harmonics, presents a unity power factor load to the supply, implicitly extends to regeneration (and operation with a center-tapped DC output), and is feasible to physically implement for real-time output voltage control. Both the theory and physical simulation results are presented. <<ETX>>
ELEMENTARY SCHOOL TEACHERS’ PERCEPTION OF INCLUSIVE EDUCATION IN EAST JAVA, INDONESIA

Teachers' perception of inclusive education becomes an important indicator in evaluating the success of inclusive education. Teachers who have a positive perception of inclusive education will have a more controlled learning environment. This study used a survey method that investigates the current views of elementary school teachers toward inclusive education by exploring their perceptions. The respondents of this study are 70 elementary school teachers in East Java Province. This study found that: (1) There was no difference perception of teachers in primary schools concerning the concept of inclusive education, placement of students with disabilities, and processing of learning in inclusive classrooms; (2) Teachers' perceptions in primary schools towards inclusive education was not influenced by their duties as regular and special education teachers; (3) There are differences in perceptions of inclusive education based on the amount of training they followed; (4) There are differences in teachers' perceptions of inclusive education based on the length of teachers' experience teaching students with disabilities. Teachers' perceptions of inclusive education can be measured from three dimensions: the inclusion concept, disability student placement, and learning management.
An efficient hybrid approach based on multi agent system and emergence method for the integration of systematic preventive maintenance policies in hybrid flow-shop scheduling to minimize makespan

This paper proposes a novel hybrid algorithm for the integration of systematic preventive maintenance policies in hybrid flow shop scheduling to minimize makespan. We have implemented a problem-solving approach for optimizing the processing time and methods based on metaheuristics. The proposed approach is inspired by the behavior of the human body. This hybridization is between a multi agent system and inspirations of the human body, especially genetics. The effectiveness of our approach has been demonstrated repeatedly in this paper. The proposed approach is applied to three preventive maintenance policies. These policies are intended to maximize the availability or to maintain a minimum level of reliability during the production chain. The results show that our algorithm outperforms existing algorithms. We assumed that the machines might be unavailable periodically during the production scheduling. Key words: Multi agent systems, emergence, genetic algorithm, makespan, systematic maintenance, scheduling, hybrid flow shop scheduling.
Superinfections in critically ill COVID-19 patients - an association with Dexamethasone?

BacgroundSuper-infections in COVID-19 patients with acute respiratory distress syndrome (ARDS) on mechanical ventilation were initially reported to be rare. Little is known of their incidence after dexamethasone was introduced as standard care. We aimed to determine the incidence and characteristics of superinfections in mechanically ventilated COVID-19 patients during the course of the COVID-19 pandemic, and explore the possible impact of the introduction of dexamethasone as standard therapy. MethodsIn this national, multi-center, observational, retrospective study we included patients ≥ 18 years admitted from March 1 st 2020 to January 31 st 2021 with polymerase chain reaction (PCR)-confirmed SARSCoV-2 infection treated with invasive mechanical ventilation. Data was collected from electronic health records. Patient characteristics, clinical findings, microbiology, length of stay and 90-day survival were examined with backwards stepwise multiple regression. Results155 patients (115 men, mean age 62 years, range 26-84 years) were included. 73 patients (47%) had a total of 101 superinfections where pneumonia dominated (70%). Superinfections were more commonly observed in patients receiving dexamethasone (67% vs 30%, p<0.0001), and in patients with pre-existing autoimmune disease (18% vs 5%, p<0.01). Invasive fungal infections were reported exclusively in dexamethasone-treated patients [9/72 (13%) vs 0/83 (0%), p<0.0001]. There was no difference in 90-day survival between patients with and patients without superinfections (64% versus 73%, p=0.238). In multiple regression analysis, superinfection was associated with dexamethasone use [OR 5.35 (2.62–11.35), p<0.001], pre-existing autoimmune disease [OR 4.90 (1.50–19.4), p=0.008] and higher lymphocyte count at the time of admission [OR 2.31 (1.23–4.86), p=0.009]. ConclusionIn critically ill COVID-19 patients receiving invasive ventilation, introduction of dexamethasone as standard of care was strongly and independently associated with superinfections. A focus on this complication is warranted when studying alternative anti-inflammatory therapy.
The analysis of multiple linear chirp signals

This paper presents a technique for the analysis and extraction of multiple linear chirps in a time signal. These signals occur in nature and are becoming increasingly important in sonar, geophysical, ultrasonic and radar applications. The work is based on and closely related to the fractional Fourier transform (FrFT). The paper considers discrete analysis and synthesis of complex signals containing linear chirps with various characteristics. We show how individual chirps in a mixture of chirps (not necessarily linear) can be extracted and investigate the filtering and reconstruction of mixed chirp signals. Examples are presented to illustrate the concepts using both synthetic signals and real data. A visual interpretation of the magnitude and phase of the analytic results is introduced allowing a range of transform orders to be viewed simultaneously. The filtering of linear and 'near-linear' chirp signals is also discussed alongside the efficient pulse compression characteristics of the FrFT.
Impacts of Human Development Index and Percentage of Total Population on Poverty using OLS and GWR models in Central Java, Indonesia

Central Java province is one of the provinces with the highest number of poor people on the island of Java, with the number of poor people in 2020 increasing by 0.44 million people from the previous year. Poverty is caused by several factors, one of which is the Human Development Index (HDI) and the Total Population level. Each region has different characteristics from other regions. These differences in characteristics cause more specific spatial effects, namely spatial heterogeneity. Geographically Weighted Regression (GWR) is a statistical method that can analyze spatial heterogeneity by assigning different weights and models to each observation location. This study aims to determine whether the HDI variable and percentage of total population significantly impact the number of poor people in Central Java Province in 2020 without eliminating the spatial effect. There are three groupings of variables that affect the Number of Poor People for GWR with the Adaptive Kernel Bisquare weighting function and four groups for the Adaptive Kernel Tricube weighting function. The Key Performance Indicators (KPI) used are Mean , Akaike Information Criterion (AIC), Absolute Error (MAE), Mean Square Error (MSE), and Mean Absolute Percentage Error (MAPE). Based on these KPIs, the GWR model with the Adaptive Kernel Bisquare weighting function provides better results when compared to the OLS model.
Lateral Control for UAVs using Sliding Mode Technique

Abstract This paper presents sliding mode based lateral control for UAVs using a nonlinear sliding approach. The control is shown to perform well in different flight conditions including straight and turning flight and can recover gracefully from large track errors. Saturation constraints on the control input are met through the nonlinear sliding surface, while maintaining high performance for small track errors. Stability of the nonlinear sliding surface is proved using an appropriate Lyapunov function. The main contribution of this work is to develop a robust lateral control scheme that uses readily available sensor information and keeps the track error as small as possible without violating control constraints. In the proposed scheme the only information used in the control law is the lateral track error and the heading error angle. No information is required about the desired path/mission, which therefore can be changed online during run-time. This scheme is implemented on a high fidelity nonlinear 6-degrees-of-freedom (6-dof) simulation and different scenarios are simulated with large and small track errors in windy and calm conditions. Simulation results illustrate the robustness of the proposed scheme for straight and turning flight, in the presence of disturbances, both for large and small track errors. Furthermore it is shown that the saturation limits of the control input are not exceeded in all cases.
Influence of Mainstream Turbulence on Leading Edge Film Cooling Heat Transfer Through Two Rows of Inclined Film Slots

The effect of film slot injection on leading edge heat transfer coefficient and film cooling effectiveness under high mainstream turbulence conditions was experimentally studied for flow across a blunt body with a semi-cylinder leading edge and a flat afterbody. High mainstream turbulence levels were generated by a bar grid (Tu = 5.07%) and a passive grid (Tu = 9.67%). The incident mainstream Reynolds number based on the cylinder diameter was about 100,000. The spanwise and streamwise distributions of the heat transfer coefficient and film effectiveness in the leading edge and on the flat sidewall were obtained for three blowing ratios (B = 0.4, 0.8 and 1.2) with two rows of film slots located at ±15° and ±40° from stagnation line. The cross-sectional slot length-to-width ratio was two. The slots in each row were spaced three cross-sectional slot lengths apart and were angled 30° and 90° to the surface in the spanwise and streamwise direction, respectively. The results show that the heat transfer coefficient increases with increasing blowing ratio, but the film effectiveness reaches the maximum at an intermediate blowing ratio of B = 0.8 for both low (Tu = 0.75%) and high (Tu = 9.67%) mainstream turbulence conditions. The leading edge heat transfer coefficient increases and the film effectiveness decreases with mainstream turbulence level for the low blowing ratio; however, the mainstream turbulence effect reduces for the high blowing ratio. The leading edge heat load is significantly reduced with two rows of film slot injection. The blowing ratio of B = 0.4 provides the lowest heat load in the leading edge region for the low mainstream turbulence but B = 0.8 gives the lowest heat load for the high mainstream turbulence conditions.Copyright © 1991 by ASME