Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical Characteristics of Patients with Glaucoma Presenting to Bharatpur Eye Hospital: An Observational Study.

INTRODUCTION Glaucoma is the second leading cause of blindness worldwide. Glaucoma will affect 79.6 million individuals by 2020, according to projections. Improved glaucoma screening and treatment approaches are urgently needed. The purpose of this study is to determine the clinical characteristics of glaucoma patients who visit Bharatpur Eye Hospital and aims to calculate the number of new diagnoses of glaucoma from 01 February 2020 to 15 March 2020. MATERIALS AND METHODS This is a hospital-based, cross-section study. All patients with a diagnosis of glaucoma were invited to participate. The examination findings, diagnosis, and management were all documented. A standardized questionnaire was used to collect patient knowledge and understanding of glaucoma. RESULTS Among 127 patients 52.8% were newly diagnosed with glaucoma. Many patients (59.8%) were symptomatic for more than 6 months. The mean presenting intraocular pressure was 20.86 mm Hg with an SD of 11.55 mm Hg. Only 44.9% of the participants had heard about glaucoma. Many participants (65.4%) did not have knowledge of glaucoma. Among 127 participants 9.4% had a family history of glaucoma. CONCLUSION Glaucoma is a significant burden that presents challenges to ophthalmic services in Chitwan. Many people have a poor understanding of their condition and have limited access to services. There is a need to build a treatment infrastructure and raise public awareness.
The Transformation of Residential Segregation in the Pearl River Delta, China: A Planning-Driven Form

Constrained by the hukou system and market mechanisms, Chinese rural migrants normally live in dormitories and urban villages (villages-in-the-city or chengzhongcun) quite distinct from the dwellings of more privileged social groups yet they are often located quite close together. This pattern may be described as a hukou-based yet market-driven form of residential segregation. This paper addresses an extreme level of segregation in China’s newest urban developments. By examining six key development zones in the Pearl River Delta (PRD), this paper argues that besides hukou and the market, urban planning contextualized in state-market engagement and socialist features is a crucial factor creating extreme residential segregation in these zones. This paper also argues that two planning instruments—large-scale land use zoning and the provision of public housing to migrants—play a significant role in creating segregation. The extreme segregation created by the state’s dominant planning practices in new urban developments demonstrates a transformation of China’s prevalent market-driven segregation.
Developing Design Principles for a Service System for Crowd-Based Business Model Validation

The high uncertainty of creating business models demands entrepreneurs to re-evaluate and continuously adapt them. Therefore, incubators offer validation services. However, systematic, and scalable information systems to enable interaction with a crowd of potential customers, investors, or other stakeholders and entrepreneurs do not exist. Our aim is thus to develop tentative design principles for crowd-based business model validation (CBMV) systems. Such systems should support entrepreneurs to reduce the uncertainty about the validity of their business model. Thus, we apply a theory-driven design approach based on knowledge drawn from literature and complemented by empirical insights. For developing such information systems, we combine the concept of crowdsourcing with findings from research on decision support systems to propose theory-grounded design principles for a CBMV system. The identified design principles describe a potential solution to a problem that previous research proved as viable.
DOA Estimation of Mixed Circular and Noncircular Sources Using Nonuniform Linear Array

In this article, an algorithm for accurately estimating the directions-of-arrival (DOAs) of mixed circular and noncircular signals with a nonuniform linear array is devised. Via applying coarray interpolation on the difference and sum coarrays, we first formulate two nuclear norm minimization problems to reconstruct an augmented covariance matrix and an augmented unconjugated covariance matrix, respectively. Based on the reconstructed matrices, we further build the extended covariance matrix in the coarray domain. Finally, we construct several spectral functions to successively estimate the DOAs of the nonstrictly noncircular, strictly noncircular, and circular signals. Unlike the existing schemes, the proposed algorithm can identify accurately circular, strictly noncircular, and nonstrictly noncircular signals. Numerical results demonstrate the superiority of the proposed algorithm over existing techniques.
Guillain-Barré Syndrome and Unilateral Optic Neuritis Following Vaccination for COVID-19: A Case Report and Literature Review

ABSTRACT A 71-year-old woman presented 2 weeks after vaccination with the first dose of Vaxzevria (AstraZeneca, Oxford) for COVID-19 with a left lower motor neuron facial nerve palsy, which progressed to bilateral involvement. This was accompanied by bilateral proximal leg weakness. She was diagnosed with the ‘facial diplegia with paraesthesia’ variant of Guillain-Barré syndrome. Seven weeks post vaccination she developed painless loss of vision in the right eye. The visual acuity in that eye was light perception only with a right relative afferent pupillary defect and right optic disc swelling. A diagnosis of optic neuritis was made and she received pulsed intravenous methylprednisolone for 3 days, followed by oral prednisolone. The optic neuritis recurred following initial cessation of steroids requiring an extended course of steroids. Despite this, she made a good visual recovery to 6/6 in the affected eye. We present this case and a review of the literature surrounding vaccination and the development of these conditions.
Modelling of Effective Minority Carrier Lifetime in 4H-SiC n-Type Epilayers

We present an extended model for the simulation of the effective minority carrier lifetime in 4H-SiC epiwafers after optical excitation. This multilayer model uses measured values (such as doping profile, point defect concentration and capture cross sections, epilayer thickness) as input parameters. The bulk lifetime and the diffusion constant are calculated from the actual time dependent excess carrier profiles, resulting in more realistic transients having different decay regimes than in other models. This enables a better understanding of optical lifetime measurements.
Application of Ant Colony Optimisation Algorithm on Solid Waste Collection: A Case of University of Port Harcourt

Ants are social insects and their behaviour is geared towards the survival of the colony rather than the survival of the individual. Because ants are almost blind, they move along by building chemical trails using a chemical substance called pheromone. These trails are used by ants to find the way to food or back to the colony, using the shortest or otherwise optimised path. This informed the development of The Ant Colony Optimization (ACO) Algorithm. This algorithm was applied to the waste collection system of the University of Port Harcourt so as to optimize the route for solid waste collection within the Institution. University of Port Harcourt has three campuses, namely Choba, Delta and University Park campuses which are networked within a radius of about 1.5 km, separated by two expressed ways. University Park was split into two, Section 1 and Section 2 for this study. The primary data used for this study was gotten with the help of the Global Information System, personal observation and monitoring of waste collection points and tours within the Institution. At the end of the optimization process, the ACO was able to reduce the tour path for Choba Park by 937.66 m, Delta Park by 1255.99 m, Abuja Park section 1 by 3779.89 m and Abuja Park Section 2 by 1875.15 m representing 33.5%, 31.43%, 51.48% and 32.16%, respectively. However, considering the physical nature of the built environment, a Best Tour Path (BTP) rather than the optimized path was chosen. This gave a total distance reduction of about 16% cumulatively.
Implementing Corporate University Learning Methods to Accelerate the Foreign Language Competency of Indonesian Government Employees

Programs focusing on improving working practices during the pandemic, including competency development programs in higher education and government institutions, have been marked by a sense of urgency and creativity. This study explored the planned implementation of corporate university learning methods to help Indonesian government employees improve their foreign language skills. The research began with examining the training environment prior to the pandemic and how the pandemic altered the learning models. We wanted to know how the ASN Corporate University learning model influenced motivation to learn foreign languages. Secondly, we wanted to explore which learning experiences could help Indonesian State Civil Apparatus employees improve their foreign language skills. According to our review of the literature, systems likely will not return to their pre-pandemic state. As a result, future methods will need to include both substance-based and project-based approaches. The corporate university learning model best exemplifies the application of techniques focused on employees. As a result, the study only looked at a small portion of the competency development offered by the corporate university model: job-related competency development. Data were collected through an online survey of 126 State Civil Apparatus employees who worked for the Indonesian National Institute of Public Administration. Learning methods examined included giving a presentation in a foreign language, participating in international events, and fostering international cooperation. Across all methods, intrinsic motivation was found to be more prevalent than extrinsic motivation. Of all the methods tested, respondents were the most eager to participate in international events. These results should be considered in the design of future workplace foreign language learning. Keywords: corporate university, competency, development, motivation
Calidad de melón cantaloupe (Cucumis melo) cubierto con una película comestible de alginato-hpmc-parafina

Introduction : Melon is a fruit with a short storage period. An alternative to extend the shelf-life of this fruit is the application of an edible film. In present study was evaluated the effect of the application of an edible coating based on alginate-hydroxypropilmethyl-cellulose-parafine over the quality of Cantaloupe melon under two storage types. Method : Cantaloupe melon fruits were covered by an alginate-hydroxypropilmethyl-cellulose-parafine edible coating (ALG-HPMC-PAR), and uncovered (CONTROL). Experimental melons were stored for 21 days at 5 oC and 95 % relative humidity. Every seven days, the fruits were subjected to analysis of chilling injury index, loss of weight, texture, and CO 2 and ethylene concentration of internal atmosphere of the fruit. In addition, to simulate commercial management, at the end of each period of seven days in refrigeration, a sample of melons was extracted from the refrigerator and exposed to environmental conditions of temperature and relative humidity (25oC and 21-25% respectively) during three days (combined storage), and measured the parameters mentioned above. Results : The application of the edible coating induced that melons had a higher CO 2 and lower ethylene concentration in the fruit inner atmosphere, contributing to maintain their quality for a longer storage time than the control fruits, since the covered melons were firmer, had a lower weight loss, and suffered a lower chilling injury index. Discussion or Conclusion : The obtained results prove the feasibility of the application of edible coatings to maintain the Cantaloupe melon quality in cooling and combined storage.
Tunable microstrip bandpass filter with constant fractional bandwidth based on cascade triplet topology

ABSTRACT This paper presents an approach for designing 3-pole tunable microstrip bandpass filter with constant fractional bandwidth (CFBW). To achieve sharp roll-off responses, a cross-coupling scheme is adopted in the filter design. Cascade triplet (CT) topology and source-load coupling scheme are used to introduce three transmission zeros (TZs) in the design of 3-pole tunable filters. Thanks to tunable coupling coefficient Kc, the TZs allocated at the low-end of passbands can be tuned, which providing a reconfigurable selectivity. For the purpose of demonstration, the 3-pole tunable bandpass filters with CFBW are designed, fabricated, and measured. The proposed filter can be tuned over a wide fractional range up to 50%. The measured 3-pole filter shows a tuning range of 950–1460 MHz, with a fractional bandwidth (FBW) of 13.1% ± 2.5% and an insertion loss of 1.8–3.6 dB. Measured results of the filter present sharp roll-offs, which agree well with the simulated counterparts.
Identifying the Moderating Effect of Hyperconnectivity on the Relationship between Job Demand Control Imbalance, Work-to-Family Conflict, and Health and Well-Being of Office Employees Working in the Oil and Gas Industry, Malaysia

There is an increasing acknowledgment of the added value obtained by integrating technological efforts to engage employees round the clock for organizational productivity. Hyperconnectivity is the demand of time for competitive advantage in businesses, but studies on its impact on the health and well-being of the employees have been neglected in academic research. Hence, in this study, we investigated the effect of hyperconnectivity on health and well-being, and in moderating the effect of work-to-family conflict and job demand control imbalance on the health and well-being of the office employees. An online questionnaire survey was used to collect data from 410 office employees working in the oil and gas industry in Malaysia. Respondents were approached through the LinkedIn forum. Statistical tests, principal component analysis, structural equation modeling, and path analysis were conducted. It is found that hyperconnectivity has a negatively insignificant effect on health and well-being. In addition, hyperconnectivity significantly strengthens the negative effect of job demand control imbalance (22%) and work-to-family conflict (24%) on health and well-being. It is concluded that hyperconnectivity decreases health and expedites other psychosocial hazards related to the health and well-being of the employees. Urgent measures should be taken to reduce unnecessary and frequent online notifications, messages, emails, and phone calls, both during and off-working hours. In this way, the effect of job demand control imbalance and work-to-family conflict can be reduced on the health and well-being of the office employees. Considering the negative consequences of hyperconnectivity, this problem should be addressed in health and safety policies in organizations. Future studies can investigate the effect of hyperconnectivity on job demands and control separately.
Integration of Software Architecture in Requirements Elicitation for Rapid Software Development

Software Architecture describes system components and their connections. Requirement elicitation catering the perspective of software architecture is quite challenging and relatively less explored research area for the rapid software development. It has gain growing interest due to reusability of existing modules with less cost and quick developmental time. Software architecture in the context of requirement engineering is an abstraction of software system performing a particular task with the help of group of executable architectural components. In this paper, systematic literature review is adapted as a methodology to explore software architectural elements that provides better performance and simplicity in requirement engineering. We analyzed, reviewed and listed the strategies, tools & techniques along with state-of-the-art mechanisms, pros and cons and application areas. Architectural components that are already implemented in the requirement elicitation process for effective software architectural design are briefly analyzed. Purpose of the paper is to explore and discuss the elements that make software architecture more integral and flexible for traceability of requirements. Another purpose is to identify relation between the software requirements and architecture along with exploring the components to bridge gap between requirements and architecture by critically evaluating industrially and academically proposed methods, tools and frameworks. We also highlighted the open research challenges of Software architecture in requirement elicitation for better software development. In the later section, a resource bank is created acting as a valuable model that encompasses targeted relevant groups, sub-groups with latest software architecture tools & techniques, methods and framework sources to facilitate effective requirement engineering.
High Efficiency and Voltage Conversion Ratio Bidirectional Isolated DC-DC Converter for Energy Storage System

This paper proposes a high efficiency and conversion ratio bidirectional isolated DC-DC converter with three-winding coupled inductor, which can fulfil storage system charging and discharging. The proposed topology is improved from traditional Buck-Boost converter. By integrating coupled inductor and switched-capacitor into power stage, the proposed converter can achieve the merits of isolation and bidirectional power flow. The proposed topology has only four switches and a common core coupled inductor, which greatly reduces design costs and achieves high step-up/step-down voltage gain without excessive duty cycles or high turns ratios. In addition, the proposed also has the function of leakage inductance energy recovery, which can recover all the energy stored in the leakage inductance to improve efficiency, and the main switches has a zero voltage switching (ZVS) feature. This paper implements a 500 W converter to verify the feasibility of the proposed topology through software simulation and experiment results, and conducts theoretical analysis, formula derivation, operation principle analysis, and non-ideal analysis. Finally, the experimental results show that the highest efficiency of the step-up and step-down modes are 96.8% and 96.4%, respectively.
Agile quadrotor maneuvering using tensor-decomposition-based globally optimal control and onboard visual-inertial estimation

Over the last few years, quadrotors have become increasingly popular amongst researchers and hobbyist. Although tremendous progress has been made towards making drones autonomous, advanced capabilities, such as aggressive maneuvering and visual perception, are still confined to either laboratory environments with motion capture systems or drone platforms with large size, weight, and power requirements. We identify two recent developments that may help address these shortcomings. On the one hand, new embedded high-performance computers equipped with powerful Graphics Processor Units (GPUs). These computers enable real-time onboard processing of vision data. On the other hand, recently introduced compressed continuous computation techniques for stochastic optimal control allow designing feedback control systems for agile maneuvering. In this thesis, we design, implement and demonstrate a micro unmanned aerial vehicle capable of executing certain agile maneuvers using only a forward-facing camera and an inertial measurement unit. Specifically, we develop a hardware platform equipped with an Nvidia Jetson embedded super-computer for vision processing. We develop a low-latency software suite, including onboard visual marker detection, visual-inertial estimation and control algorithms. The fullstate estimation is set up with respect to a visual target, such as a window. A nonlinear globally-optimal controller is designed to execute the desired flight maneuver. The resulting optimization problem is solved using tensor-train-decomposition-based compressed continuous computation techniques. The platform’s capabilities and the potential of these types of controllers are demonstrated in both simulation studies and in experiments. Thesis Supervisor: Sertac Karaman Title: Associate Professor of Aeronautics and Astronautics Mechanical Engineering Faculty Thesis Reader: John Leonard Title: Professor of Mechanical and Ocean Engineering 3
Game Theoretic Merging Behavior Control for Autonomous Vehicle at Highway On-Ramp

In the most of previous studies, social interactions between vehicles are not considered explicitly when designing decision making and motion planning module. Nevertheless, the strong interaction exists in the most of driving scenarios, especially in highway junction. This paper presents a game theoretic merging behavior control system for autonomous vehicle at on-ramp junction considering the interaction between the merging vehicle and following vehicle in the main lane. In this work, a driving style estimation is proposed to deal with the heterogeneity of driving style. Then we adopt a model predictive control (MPC) method to plan the optimal merging trajectory based on the game theoretic decision making result. Finally, simulation and Human-in-the-loop (HIL) experiment result shows the effectiveness of our approach in on-ramp merging scenario.
Transformational Potential of Blended Learning to Personalize Foreign Language Teaching in a Non-Linguistic Higher School

The article investigates the importance of personalization of teaching a foreign language in a non-linguistic higher school through blended learning. The important role of dynamic syllabus, information and communication technology and electronic language portfolio is examined and analysed. The authors come to the conclusion that blended learning is a new educational model with great potential to increase students' outcomes and create exciting new roles for teachers. Key words blended learning, foreign language teaching, electronic language portfolio, information and communication technology, dynamic syllabus Introduction The model of a university graduate is understood as a conceptual description of learning goals, learning content and the principles of organizing the educational process in undergraduate programs. One of the major objectives of modern educational system is developing personal intellectual abilities, critical thinking skills essential for university studies across disciplines and independent learning strategies. Skills of self-study, willingness and ability to adapt to ever-changing social and economic situations are very important for modern graduates (http://www.consultant. ru/law/). Federal target program on education for 2011-2015 is aimed at ensuring accessibility of high-quality education to satisfy the requirements of innovative social- oriented development of the Russian Federation. Solving these problems involves extending the teaching environment and creating virtual classrooms through online and blended learning related to students' cognitive needs, interests and abilities. Centred on purposeful, real-life objectives universities are working to get closer to the golden ideal of every student getting exactly what they need, when they need it. It is also very important to ensure learner- centered approach in the context of generality of educational environment (Sazonov, 2011). A student-centred approach in the Russian educational system