Tracing Methodology Research Articles

Macro-level language policy and planning to promote and maintain English-taught programmes in Turkish higher education: a Process Tracing perspective

ABSTRACT This paper explores how higher education governance and macro-level (governmental) language policy and planning (LPP) impact (a) the growth and (b) sustainability of English-medium instruction (EMI) programmes in the Turkish higher education context, an Expanding Circle country (Kachru, 1985). We examine higher education policy documents and regulations and interview elite participants (N = 20), i.e. higher education administrative and governance staff who play significant roles in the decision-making processes of the universities. We make innovative use of a Process Tracing methodology to provide a broader perspective on the growth of EMI. We also examine the impact of macro-level LPP on the regulation and sustainability of EMI programmes. Regarding the growth of EMI programmes in Turkiye, we identify three significant milestones, namely the foundation of the Council of Higher Education, massification, and privatisation. While sustaining the quality and quantity of EMI programmes, higher education actors also implement some language policies. By employing Process Tracing, this study goes beyond simply identifying the relationship between policies and their impact: it sheds light on the causal mechanisms at play, revealing how adopting a ‘steering at a distance’ approach can have unintended consequences that fuel the growth of EMI programmes.

Semaphorin7A patterns neural circuitry in the lateral line of the zebrafish

In a developing nervous system, axonal arbors often undergo complex rearrangements before neural circuits attain their final innervation topology. In the lateral line sensory system of the zebrafish, developing sensory axons reorganize their terminal arborization patterns to establish precise neural microcircuits around the mechanosensory hair cells. However, a quantitative understanding of the changes in the sensory arbor morphology and the regulators behind the microcircuit assembly remain enigmatic. Here, we report that Semaphorin7A (Sema7A) acts as an important mediator of these processes. Utilizing a semi-automated three-dimensional neurite tracing methodology and computational techniques, we have identified and quantitatively analyzed distinct topological features that shape the network in wild-type and Sema7A loss-of-function mutants. In contrast to those of wild-type animals, the sensory axons in Sema7A mutants display aberrant arborizations with disorganized network topology and diminished contacts to hair cells. Moreover, ectopic expression of a secreted form of Sema7A by non-hair cells induces chemotropic guidance of sensory axons. Our findings propose that Sema7A likely functions both as a juxtracrine and as a secreted cue to pattern neural circuitry during sensory organ development.

Semaphorin7A patterns neural circuitry in the lateral line of the zebrafish.

In a developing nervous system, axonal arbors often undergo complex rearrangements before neural circuits attain their final innervation topology. In the lateral line sensory system of the zebrafish, developing sensory axons reorganize their terminal arborization patterns to establish precise neural microcircuits around the mechanosensory hair cells. However, a quantitative understanding of the changes in the sensory arbor morphology and the regulators behind the microcircuit assembly remain enigmatic. Here, we report that Semaphorin7A (Sema7A) acts as an important mediator of these processes. Utilizing a semi-automated three-dimensional neurite tracing methodology and computational techniques, we have identified and quantitatively analyzed distinct topological features that shape the network in wild-type and Sema7A loss-of-function mutants. In contrast to those of wild-type animals, the sensory axons in Sema7A mutants display aberrant arborizations with disorganized network topology and diminished contacts to hair cells. Moreover, ectopic expression of a secreted form of Sema7A by non-hair cells induces chemotropic guidance of sensory axons. Our findings propose that Sema7A likely functions both as a juxtracrine and as a secreted cue to pattern neural circuitry during sensory organ development.

Optical analysis and design of a novel solar beam down concentrator for indoor cooking

This investigation provides the design and optical analysis of an innovative solar beam-down configuration, which can be a promising passive solution for indoor solar-based cooking, offering an eco-friendly and sustainable approach. The system uses a beam-down parabolic dish concentrator to concentrate the solar radiation onto a ground-mounted receiver module, which has a secondary optical module consisting of a secondary reflector-light pipe system. The receiver module is a well-insulated tank consisting of a receiver in contact with a primary heat transfer fluid. The thermal energy stored in the receiver module is transported via a secondary heat transfer fluid to and from the cooktop via a tube-in-tube arrangement, which induces a thermosyphon effect. A multi-variable optical analysis through an efficient ray tracing methodology has been adopted to identify optimal design values of optical components such as parabolic dish concentrators, secondary reflectors, and light pipe-receiver assemblies. The optimal optical design parameters and their corresponding ray trace analysis results are elaborated. It was found that the designed beam-down parabolic dish concentrator system provides an ideal thermal energy of 10.3 kWh per day at an average DNI of 650 W/m2. Further, this investigation provides a design for a beam-down parabolic dish concentrating system that may be used for efficient and sustainable solar energy solutions.

Impacts of straw mulching in longitudinal furrows on hillslope soil erosion and deposition in the Chinese Mollisol region

In the Northeast Mollisol region of China, straw mulching has a great effect on preventing soil loss from ridge tillage, but how furrow straw mulching (FSM) impacts the spatial distribution of erosion-deposition and sediment sources in longitudinal ridge tillage systems is still unclear. Therefore, this study was to quantify the effects of the FSM on the spatial distribution of soil erosion-deposition and sediment sources in longitudinal ridge tillage systems by using the magnetism tracing methodology and indoor simulation rainfall experiments. The experimental treatments included two surface treatments: without the FSM (NFSM) and with the FSM of 0.30 kg·m−2 amount, two rainfall intensities of 50 and 100 mm h−1 were included; each experiment was run for 60 min at a soil pan with a 5° slope gradient, 6.2 m length, 1.3 m width and 0.7 m depth. The results indicated that, compared with the NFSM treatment, the total slope runoff and soil loss in the FSM treatment at two rainfall intensities were decreased by 41.6 % and 99.5 % and by 37.9 % and 97.7 %, respectively, and the reduction in slope runoff and soil loss decreased with an increase of rainfall intensity. The total mass of sediments intercepted by straw mulching on the entire slope accounted for 36.9 % and 10.4 % of the total soil loss in the NFSM treatment, respectively. Erosion regimes dominated on the hillslope of the NFSM treatment with strong-weak alternation at two rainfall intensities, while for the FSM treatment, only deposition regime was observed at 50 mm h−1 rainfall intensity; a slight change with erosion-deposition on the ridge tops was observed and deposition in the furrows was observed at 100 mm h−1 rainfall intensity. Furthermore, the FSM treatment changed the main sediment source from ridge tops to furrows on the hillslope compared to the NFSM treatment, whose sediment contributions from the ridge tops and the furrows at the two rainfall intensities were approximately 16.4 % and 83.6 %, respectively. In conclusion, FSM should be promoted due to its high efficiency in decreasing slope runoff and intercepting sediments. The findings of this study served as a scientific reference for effectively controlling soil erosion along slopes in the Chinese Mollisol region.

The anglophone crisis in Cameroon and sustainable development: A causal‐process tracing approach

AbstractArmed conflict is perceived to be detrimental to sustainable development while underdevelopment is seen as the cause of armed conflict. However, little is known about the cause of the ongoing armed conflict in Southern Cameroon and its effects on the pace of sustainable development in Cameroon. This study seeks to close this gap by employing a causal‐process tracing methodology and trend analysis. The empirical results obtained suggest that there is no end to the conflict any time soon due to the divide between the Anglophone political elite, lack of international support, and repression from the government. In addition, the conflict has very minimal quantitative significant impact on the pace of development in Cameroon. By empirically analyzing the case of Cameroon, the current study lends an understanding of the causes and effects of the conflict on sustainable development and further highlights the steps that are necessary to safeguard the socio‐economic well‐being of the masses.

DBGCN

Given the extensive use of online learning in educational settings, Knowledge Tracing (KT) is becoming increasingly essential. KT primarily aims to predict a student's future knowledge acquisition based on their past learning activities, thus enhancing the efficiency of student learning. However, the effective acquisition of dynamic and evolving student representations from their historical records presents a formidable challenge. This paper introduces a Knowledge Tracing methodology predicated on Dynamic Broadth Graph Convolutional Networks (DBGCN). DBGCN leverages the mechanisms of breadth graph convolutional networks to proficiently acquire representations of questions and knowledge points from dynamically constructed topological graphs. It employs student state information as an attention query vector to augment student representations, thereby partially mitigating the challenge of capturing the dynamic shifts in user states. The effectiveness of our proposed DBGCN method has been demonstrated through extensive experimentation.

Synthetic gravitational lens image of the Sagittarius A* black hole with a thin disc model

ABSTRACT The images of Sagittarius A* published by the Event Horizon Telescope (ETH) Collaboration in 2022 present features that were associated with an emission ring consistent with what is expected from an accretion disc surrounding the supermassive black hole at the centre of our Galaxy. Here, we generate images of Sgr A* across different configurations of a simple accretion disc model that became successful, in our previous work, in reproducing the main features observed in M87*. Their best image, here reproduced in Fig. 1, suggests a geometric configuration of an inclined disc with three bright regions; which we have considered as our first configuration. Since we were not convinced with the results of this first configuration, we also explore in detail the case of nearly edge-on orientations which are a priori the expected geometry for a relaxed disc, as seen from the plane of the Galaxy. We have produced simulated images using an efficient ray tracing and geodesic deviation methodology that allows to account for deformation, relativistic, and magnification effects. We compare our synthetic images with the EHT images reconstructed with data from April 6 and 7 of 2017. We found that, although the EHT Collaboration seems to discard the image from April 6, our best suggested image resembles the output from the themis pipeline for April 6; which for us gives support for the edge-on configuration.

How conventional arms control failures caused the Russo-Ukraine War

ABSTRACT What role did conventional arms control (CAC) agreements failures play in Russia's decision to invade Ukraine? Using a process tracing and counterfactual mixed methodology analyzing Russia's invasion motivations, this article attempts to answer the question by assessing Russian strategic policies, proposals, and arms control agreements. These demonstrate that Russia, seeing its sense of “indivisible security” being violated, sought to adjust or establish new CAC agreements to address a growing conventional military imbalance between NATO and Russia. Having failed to establish a fixed and stable conventional military balance through CAC, and as Ukraine edged closer to NATO membership, Russia resorted to the use of force shortly after their December 2021 proposals were not accepted. The article concludes by suggesting that this case supports arms racing and arms-control related causes of war theories, and that dissonant perceptions of the actual or ideal military balance can lead to conflict.

Performance evaluation of a parabolic cylinder collector applying the Monte Carlo ray tracing method

The purpose of this article is to evaluate the performance of a prototype parabolic trough collector for three proposed scenarios, where geometric designs with optical characteristics are tested according to the appropriate technological paradigm; low cost of maintenance and implementation, intensive local labor, materials and resources of the implementation area. The device was developed by the Energy, Automation and Control Systems Research Group GISEAC of the Unidades Tecnológicas de Santander for low-cost water heating; using materials and labor for its fabrication easily available locally. Monte Carlo ray tracing methodology was applied using the open-access software SolTrace and Tonatiuh. To select the geometric scenario to be simulated, the edge angle and the width of the primary reflection system of the device were varied. The results obtained showed that the aperture of the parabola has a direct impact on the drop in the concentration ratio (CR) percentage value and the performance of the prototype.

Parallel GPU Optimization of the Shooting and Bouncing Ray Tracing Methodology for Propagation Modeling

Parallel GPU Optimization of the Shooting and Bouncing Ray Tracing Methodology for Propagation Modeling

Fall risk management in interventional prenatal diagnosis perioperative pregnant women based on tracking methodology and failure mode and effect analysis application.

The aim was to explore the effectiveness of a tracing methodology combined with failure mode and effect analysis (FMEA) for managing falls in pregnant women during the perioperative period of interventional prenatal diagnosis. Using the tracing methodology, the process was evaluated and analyzed using FMEA after reviewing data, on-site interview, case tracking and on-site inspection, and improvement measures were proposed for the existing risk factors, and the fall-related quality indicators, satisfaction with fall-related health education, and risk priority number were compared before and after implementation. Effectiveness analysis for interventional prenatal diagnosis of perioperative maternal falls risk management resulted in a significant decrease in risk priority number (P < .01), a significant increase in the rate of correct fall risk identification and assessment, correct handover rate of pregnant women at risk of falls, correct intervention rate of pregnant women at high risk of falls, and effective coverage of falls-related health education (P < .01), a significant increase in satisfaction with falls-related health education (P < .001), and the incidence of falls among pregnant women decreased from 0.12% to 0%. The use of tracking methodology combined with FMEA can reduce the risk of perioperative maternal falls in interventional prenatal diagnosis and improve the safety of maternal visits.

Reflector design for the optimization of photoactivated processes in tubular reactors for water treatment

Photoactivated advanced oxidation processes have excellent performance in removing recalcitrant pollutants from water. However, the high operating cost associated with the energy consumption of UV lamps is a big drawback. In this work, the design and optimization of the reflector in a tube-in-tube membrane photoreactor were carried out using a ray tracing methodology to maximize the light deployed to the reactor. Simulations were carried out using different lamps/reactor arrangements with 1, 2 and 3-sided flat reflectors and with circular and parabolic geometries. Results showed that direct radiation is maximized when the distance reactor-lamps is minimized, increasing optical efficiency. On the other hand, it was observed that for the flat reflectors, the closer the furthest point of the reflector to the center of the reactor, the higher optical efficiency is achieved due to the reduction in the number of bouncing rays in the reflector. In the case of parabolic geometries, some additional considerations are necessary, since not only the distance at which the reflector is placed matters, but also its geometrical focus. The best performance is achieved for those in which the distance from the furthest point of the reflector to the center of the reactor was lower and the lamps placed near the focus of the parabola. For the studied reflector geometries, the calculated optical efficiencies when using anodized aluminum were 46.1%, 56.5%, 60.0%, 41.8%, and 65.9% for reflectors of 1, 2, and 3 sides, cylinder, and parabola, respectively. Model predictions were successfully validated using experimental ferrioxalate actinometry data, confirming the huge potential of this simple simulation methodology for photoreactor design purposes.

An efficient ray tracing methodology for the numerical analysis of powder bed additive manufacturing processes

An efficient ray tracing methodology for the numerical analysis of powder bed additive manufacturing processes

Power Flow Tracing in Power Systems with Active and Reactive Circulating Power Flows

Active and reactive power tracing can play an important role in achieving a fair electricity market because system operating, usage, and service costs are appropriately apportioned. However, the presence of power flows around a closed circular trajectory causes the application of commonly used tracing algorithms to fail, leaving power tracing an open question. To overcome this drawback, a novel methodology for tracing the active and reactive power considering the existence of circulating power flows (CPFs) is presented in this paper. The strategy consists of identifying branches possibly involved in this kind of flow and merging the involved buses into a supernode allowing the tracing algorithm to perform normally. Furthermore, the approach properly classifies transmission lines according to their behavior to accurately trace the reactive power flow. The methodology is tested using two power systems presenting diverse operating scenarios. The results demonstrate that the proposed tracing methodology appropriately handles CPFs, representing an advantage over previously proposed approaches.

Quantitative identification of groundwater contamination sources by combining isotope tracer technique with PMF model in an arid area of northwestern China

Nowadays, groundwater quality has deteriorated because of intensive human activities. It is important to accurately identify the pollution source for controlling the deterioration of groundwater quality. However, the accuracy of the current source analysis method needs to be improved. In this study, we combined hydrochemical method, isotope tracing technique and PMF model, for the first time, to trace the source of groundwater pollution in Beichuan River basin, Qinghai Province, China. According to the results, there were 35.8% of Fe, 34.1% of total hardness, 24.3% of SO42− and 8.09% of NO3− samples exceeded the Grade III standards for Groundwater quality in China, which indicated that the groundwater in the study area has been significantly affected by human activities. Hydrochemical method suggested that the chemical component originated from rock weathering, cation exchange and mineral dissolution. Based on isotope tracing technique (δ15N–NO3-, δ18O–NO3-, δ34S–SO42− and δ18O–SO42−), the primary sources of nitrate and sulfate in groundwater were soil nitrogen and oxidation of sulfide minerals in the forest area, domestic sewage and oxidation of sulfide minerals in the urban and industrial area, and mixed sources in the village and agricultural area. Finally, the pollution source of groundwater was distinguished by combining the PMF model, isotope tracing technique and hydrochemical method. Results showed that the main pollutant of groundwater is domestic sewage in the urban, village and industrial area. The contribution rates to groundwater pollution were 60.7%, 60.8% and 57.8%, respectively. However, in the forest and agricultural area, the main source changed to water-rock interaction and chemical fertilizer, and the contribution rates to groundwater quality were 53.5% and 61.0%, respectively. Our results suggested that the coupling tracing methodology can improve the accuracy of source resolution in the water environment and it can be applied to other areas of the world.

Weaving an innovation network from the middle-out: the case of the renewable energy ecosystem

BackgroundRenewable energy (RE) systems are becoming a central component of the clean energy transition and are often seen as the way to combat climate change. Their establishment requires innovation, investments, and deployment policies for emerging technologies. Governments around the world are increasingly trying to create and support the energy-tech and climate-tech innovation ecosystems in their attempt to promote an innovation-supporting environment. However, energy innovation policies are often aligned with the dichotomous notion of technology-push and market-pull and overlook the social, political, and cultural contexts in which RE innovative technologies are embedded, and the multiple actors and interactions that are associated with their development. By combining the Middle-Out Perspective (MOP) and innovation literature, this paper argues that an innovation ecosystem could be weaved from the middle-out.MethodsThis paper analyzes the case of ‘Eilat-Eilot Renewable Energy Initiative’ and Israel’s RE innovation ecosystem creation through the lens of the MOP and applies a socio-technical interpretation to the push and pull terminology. Process tracing methodology was applied to trace a sequence of events to determine whether an actor was pushed or pulled, the formation of a network of actors, and its evolvement to an energy innovation ecosystem from the middle-out. Data for the analysis were collected from interviews, policy papers, media articles, and Governmental decisions.ResultsThe analysis demonstrates how middle actors push the implementation of RE technologies in Israel, and at the same time pull decision-makers and other middle actors to promote the low carbon transition. The push and pull forces and the interactions between actors lead to the engagement of new stakeholders in the innovation network, the adoption of more ambitious RE targets and supporting policies, and the creation of an effective RE innovation ecosystem.ConclusionsThis paper uses the MOP as an analytical framework and the push and pull terminology to demonstrate how a middle actor initiates and develops an actor-network by interacting with other actors. As this network broadens, it forms an effective innovation ecosystem. A network of actors has the potential to lead change, provide innovative ideas, initiate research, encourage investments, create employment possibilities, and promote regional sustainable development.

Analysis of Ray Tracing Methodology and Techniques and its Distinction from other Render Models

Abstract: In 3D computer-generated graphics, ray tracing is a form of rendering technique for calculating light transport for the purpose of giving a photo-realistic image. This survey paper mainly focuses on the brief working of ray tracing methodology and various techniques available to achieve this. This helps to understand one how ray tracing can be applied in the field of computer graphics to produce stunning realistic renders. At present time ray tracing is primarily available for gaming (real-time ray tracing) and also for visual effects in cinema industry. This paper also gives a detailed study about hardware and software components used for ray tracing

Tracing COVID-19 Source of Infection Among Health Personnel in a Pediatric Hospital.

Health personnel (HP) have been universally recognized as especially susceptible to COVID-19. In Mexico, our home country, HP has one of the highest death rates from the disease. From the beginning of the SARS-CoV-2 pandemic, an office for initial attention for HP and a call center were established at a COVID-19 national reference pediatric hospital, aimed at early detection of COVID-19 cases and stopping local transmission. The detection and call center implementation and operation, and tracing methodology are described here. A total of 1,042 HP were evaluated, with 221 positive cases identified (7.7% of all HP currently working and 26% of the HP tested). Community contagion was most prevalent (46%), followed by other HP (27%), household (14%), and hospitalized patients (13%). Clusters and contact network analysis are discussed. This is one of the first reports that address the details of the implementation process of contact tracing in a pediatric hospital from the perspective of a hybrid hospital with COVID-19 and non-COVID-19 areas.

Normal sex and age-specific parameters in a multi-ethnic population: a cardiovascular magnetic resonance study of the Canadian Alliance for Healthy Hearts and Minds cohort

BackgroundDespite the growing utility of cardiovascular magnetic resonance (CMR) for cardiac morphology and function, sex and age-specific normal reference values derived from large, multi-ethnic data sets are lacking. Furthermore, most available studies use a simplified tracing methodology. Using a large cohort of participants without history of cardiovascular disease (CVD) or risk factors from the Canadian Alliance for Healthy Heart and Minds, we sought to establish a robust set of reference values for ventricular and atrial parameters using an anatomically correct contouring method, and to determine the influence of age and sex on ventricular parameters.Methods and resultsParticipants (n = 3206, 65% females; age 55.2 ± 8.4 years for females and 55.1 ± 8.8 years for men) underwent CMR using standard methods for quantitative measurements of cardiac parameters. Normal ventricular and atrial reference values are provided: (1) for males and females, (2) stratified by four age categories, and (3) for different races/ethnicities. Values are reported as absolute, indexed to body surface area, or height. Ventricular volumes and mass were significantly larger for males than females (p < 0.001). Ventricular ejection fraction was significantly diminished in males as compared to females (p < 0.001). Indexed left ventricular (LV) end-systolic, end-diastolic volumes, mass and right ventricular (RV) parameters significantly decreased as age increased for both sexes (p < 0.001). For females, but not men, mean LV and RVEF significantly increased with age (p < 0.001).ConclusionUsing anatomically correct contouring methodology, we provide accurate sex and age-specific normal reference values for CMR parameters derived from the largest, multi-ethnic population free of CVD to date.Clinical trial registrationClinicalTrials.gov, NCT02220582. Registered 20 August 2014—Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT02220582.