Miracle-dz/UniFAR-FTUs huggingface dataset:
Survey-based Evaluation of the Use of Picture Archiving and Communication Systems in an Eye Hospital—Ophthalmologists’ Perspective

Purpose: Picture archiving and communication system (PACS) is a medical imaging system for sharing, storage, retrieval, and access of medical images stored. Our study aimed to identify ophthalmologists’ views on PACS, with the comparison between 3 platforms, namely electronic patient record (ePR), HEYEX (Heidelberg Engineering, Switzerland), and FORUM (Zeiss, US), following their implementation in an eye hospital for common ophthalmic investigations [visual field, optical coherence tomography (OCT) of retinal nerve fiber layer and macula, and fluorescein/indocyanine green angiography (FA/ICG)]. Methods: An online survey was distributed among ophthalmologists in a single center. Primary outcome included comparison of PACS with paper-based system. Secondary outcomes included pattern of use and comparison of different PACS platforms. Results: Survey response rate was 28/37 (75.7%). Images were most commonly accessed through ePR (median: 80% of time, interquartile range: 50 to 90%). All systems scored highly in information display items (median scores ≥7.5 out of 10) and in reducing patient identification error in investigation filing and retrieval during consultation compared to paper (score ≥7.0). However, ePR was inferior to paper in “facilitating comparison with previous results” in all investigation types (scores 3.0 to 4.5). ePR scored significantly higher in all system quality items than HEYEX (P < 0.001) and FORUM (P < 0.022), except login response time (P = 0.081). HEYEX scored significantly higher among vitreoretinaluveitis members (VRU) for information quality items for OCT macula and FA/ICG [VRU: 10.0 (8.0 to 10.0), non-VRU: 8.0 (6.75 to 9.25), P = 0.042]. Conclusions: Overall feedback for PACS among ophthalmologists was positive, with limitations of inefficiency in use of information, for example, comparison with previous results. Subspecialty played an important role in evaluating PACS.
Development of high temperature superconducting power cable prototype system

A 30 m prototype of 100 MVA (66 kV-1 kA) high temperature superconducting (HTSC) power cable system was developed for the first time ever. This system consists of a 30 m long single phase cable, terminations, a 66 kV XLPE cable for a current loop, and a closed cycle liquid nitrogen cooling system. After being cooled down, 40 kV-1 kA AC was successfully applied in sub-cooled liquid nitrogen (72 K, 1.2 kg/cm/sup 2//sub abs/) regardless of mechanical stress, such as handling in the factory, transportation, laying and the axial force due to contraction during cooling down.
Comparison of DC-DC Converter in PV System Using Soft Computing Technique

To improve the tracking capability of the PV, soft computing technique is used to utilize the PV power effectively. Here, DPSO is used to maximize the PV power. In this paper Performance of SEPIC converter compared with buck-boost converter under both normal and partial shading conditions of PV system. This paper gives the new intelligent control technique in order to track the global maxima of PV power effectively and also gives MATLAB-Simulink to control the system parameters via DPSO method.
Spatiotemporal Pattern Evolution in Global Green Trade Networks: Implications for Health Economics

Big health industry is an industry that provides whole process and all factor products and services for human comprehensive physical and mental health. With the increasingly close relationship between health and environment, green products take into account the characteristics of environmental protection, resource intensification, safety, and health, so that the green product industry for the purpose of health and environmental protection has become an important branch of the big health industry. To give a clear portrayal of changes in the global green product trade system, this study derives relevant trade data from the World Bank and the UN Comtrade and by analyzing the spatiotemporal evolution characteristics of the global green product trade pattern from 2001 to 2018, and it explores the product structure and status changes of countries (regions) in the global trading system for green products. According to the research findings, the closely connected global trade network for green products continues to expand. This is a typical network comprising “smaller worlds”; the focus of green product exports has largely stayed unchanged, while imports are shifting from North America and East Asia towards North America, Europe, and the Middle East; the spatial structure of the network shows a transition away from the original transcontinental “dual arch” pattern with the United States at the core towards a “transcontinental + intracontinental” one characterized by the coexistence of “multiple arches” centering around Europe and Asia; the trade network adopts a “point-to-point” model, with no obvious interdependence and competition between countries (regions); furthermore, geographically proximate and culturally similar countries are prone to have closer trade ties. By clarifying the global trade network of green products industry under the background of big health industry, it will help to deepen the understanding of the relationship between participating countries, promote the long-term and stable development of national health industry trade, provide the public with more safe and harmless products, better meet the global public’s health needs, and effectively enhance the sustainability of public health.
An adaptive digital control of current source inverter suitable for parallel processing inverter systems

This paper presents a description, steady state analysis, modeling and digital control design of a single-phase CSI power supply system in stand-alone mode. The multi-functional features associated with modern parallel processing inverter systems can be realized with the proposed bidirectional power conversion scheme. A detailed power circuit and controller description of the proposed power supply system are given. The steady-state analysis of the system is performed. Continuous-time state-space model of the system and discrete-time and DARMA models of a single-phase CSI are derived. An adaptive discrete-time controller for CSI is designed in order to obtain fast transient response and low total harmonic distortion of the output voltage waveform. An adaptive controller for DC choppers is designed in order to reduce the DC link inductor and optimize its dynamic performance. DC link and output filter design is performed and a systematic design procedure with a design example are presented. A number of simulations are presented to illustrate the performance of the system.
Strategic Environmental Assessment: Effective Planning Instrument or Lost Concept?

Throughout the 1980s and 1990s, strategic environmental assessment (SEA) attracted increasing attention from planners, politicians , academics and other interested parties worldwide. However, it is probably fair to say that during the same period it lost much of its original clarity. At the end of the 1980s, SEA was portrayed as an extension of project environmental impact assessment (EIA) principles to the levels of policies, plans and programmes, originally mainly in spatial and land-use planning (Wood & Djeddour, 1992). By the end of the 1990s, however, the term SEA was used in an interchangeable manner for a wide range of different kinds of assessments, ranging from policy assessment for complex multi-sectoral systems to the assessment of large projects (Tomlinson, 2000; see also Partidário, 2001). In particular, SEA’s promotion as an instrument for supporting decision making for sustainable development necessitated the consideration of a much wider range of issues than solely the biophysical environment (Koernoev & Thissen, 2000). Further, whilst some SEAs have dealt mainly with spatial alternatives, others have considered comprehensive policy options. Procedural characteristics have also varied greatly, with some SEAs based on EIA procedural stages, while others do not appear to have had any clearly de ned procedure at all. In addition, the optimal level of integration into the underlying policy, plan and programme, that is, the place in the decisionmaking hierarchy, is usually unclear. The role of the sector of SEA application has also not been clearly de ned. The lack of a clear SEA theory and the wide range of different approaches to applying SEA has led to confusion as to the nature and form of SEA. Despite this confusion, SEA literature has often failed to provide the reasons for the procedural and substantive differences between different forms of assessment and frequently not even the differences themselves have been clearly identi ed.
Augmenting television narratives using interactive home appliances

ABSTRACT This study focuses on the use of everyday objects as new media for enriching digital storytelling experiences, especially as they pertain to viewing television narratives in living room environments. Through a design ideation workshop, we develop a strategy for augmenting television narratives using interactive home appliances. The ideas obtained through the workshop revealed that interactive home appliances connected to television systems can serve as both input and output channels capable of delivering narrative elements as additional output and can support active viewer engagement in narrative manipulation. Another strategy involved mirroring the environments of television narratives with the physical world to enable spatial immersion into such narratives. Based on the strategies, we discuss the criteria valued by the designers when it comes to designating interactions between home appliances and television narratives and the critical aspects that should be considered in further configurations and applications of such strategies.
Optimization of double patterning split by analyzing diffractive orders in the pupil plane

In double patterning technology (DPT), two adjacent features must be assigned opposite colors, corresponding to different exposures if their pitch is less than a predefined minimum coloring pitch. However, certain design orientations for which pattern features separated by more than the minimum coloring pitch cannot be imaged with either of the two exposures. In such cases, there are no aerial images formed because in these directions there are no constructive interferences between diffractive orders in the pupil plane. The 22nm and 16nm nodes require the use of pixelized sources that will be generated using SMO (source mask co-optimization). Such pixelized sources while helpful in improving the contrast for selected configurations can lead to degraded contrast for configurations which have not been set during the SMO process. Therefore, we analyze the diffractive orders interactions in the pupil plane in order to detect limited orientations in the design and thus propose a decomposition to overcome the problem.
Cooling Load Prediction Based on the Combination of Rough Set Theory and Support Vector Machine

Load forecasting is key for the optimal control of heating, ventilating, and air-conditioning. However, accurate forecasting modeling requires the ability of selecting relevant factors so that the influences of the irrelevant factors can be reduced substantially. This paper presents a novel hybrid method combining rough set theory and support vector machine network (RSSV). Rough set (RS) theory is applied to find the relevant factors of the load, which are used as the inputs of support vector machine (SVM) to predict cooling load. To improve the accuracy and enhance the robustness of load forecasting results, a general load prediction model synthesizing multi-RSSV (MRSSV) is presented so as to make full use of redundant information. Optimum principle is employed to deduce the weights of each RSSV model. Actual prediction results for a real HVAC system show that the MRSSV forecasting model, whose relative error turned out to be within 4%, may be better than those models using individual RSSV, recursive least squares (RLS), and autoregressive integrated moving average (ARIMA). In addition, individual RSSV forecasting results are also better than that of ARIMA.
Library automation and use of open source software to maximize library effectivenss

Automation of library services and the use of open source software are essential for efficiency and effectiveness and at a minimal cost, too. Library automation benefits both the library staff and the users as it reduces the level of job stress on the staff and enhances remote and timely provision of up-to-date information to the users. This literature based opinion paper majorly aimed to establish the relevance of using open source software in library automation. To achieve this goal, the paper was divided into subheadings that respectively highlighted the relevance of library automation, spelt out the salient issues to consider in library software selection, discussed the characteristics of OSS that qualify them to be effective library automation software, and enumerated and briefly discussed the various OSS available for integrated library management. Recommendations on the key factors that should be prioritized for the achievement of a successful automation of the library services with the open source software is equally made in the paper.
Low genetic diversity and population connectivity fuel vulnerability to climate change for the Tertiary relict pine Pinus bungeana

Endemic species are important components of regional biodiversity and hold the key to understanding local adaptation and evolutionary processes that shape species distributions. This study investigated the biogeographic history of a relict conifer Pinus bungeana Zucc. ex Endl. confined to central China. We examined genetic diversity in P. bungeana using genotyping‐by‐sequencing and chloroplast and mitochondrial DNA markers. We performed spatial and temporal inference of recent genetic and demographic changes, and dissected the impacts of geography and environmental gradients on population differentiation. We then projected P. bungeana's risk of decline under future climates. We found extremely low nucleotide diversity (average π 0.0014), and strong population structure (global FST 0.234) even at regional scales, reflecting long‐term isolation in small populations. The species experienced severe bottlenecks in the early Pliocene and continued to decline in the Pleistocene in the western distribution, whereas the east expanded recently. Local adaptation played a small (8%) but significant role in population diversity. Low genetic diversity in fragmented populations makes the species highly vulnerable to climate change, particularly in marginal and relict populations. We suggest that conservation efforts should focus on enhancing gene pool and population growth through assisted migration within each genetic cluster to reduce the risk of further genetic drift and extinction.
βLact-Pred: A Predictor Developed for Identification of Beta-Lactamases Using Statistical Moments and PseAAC via 5-Step Rule

Beta-lactamase (β-lactamase) produced by different bacteria confers resistance against β-lactam-containing drugs. The gene encoding β-lactamase is plasmid-borne and can easily be transferred from one bacterium to another during conjugation. By such transformations, the recipient also acquires resistance against the drugs of the β-lactam family. β-Lactam antibiotics play a vital significance in clinical treatment of disastrous diseases like soft tissue infections, gonorrhoea, skin infections, urinary tract infections, and bronchitis. Herein, we report a prediction classifier named as βLact-Pred for the identification of β-lactamase proteins. The computational model uses the primary amino acid sequence structure as its input. Various metrics are derived from the primary structure to form a feature vector. Experimentally determined data of positive and negative beta-lactamases are collected and transformed into feature vectors. An operating algorithm based on the artificial neural network is used by integrating the position relative features and sequence statistical moments in PseAAC for training the neural networks. The results for the proposed computational model were validated by employing numerous types of approach, i.e., self-consistency testing, jackknife testing, cross-validation, and independent testing. The overall accuracy of the predictor for self-consistency, jackknife testing, cross-validation, and independent testing presents 99.76%, 96.07%, 94.20%, and 91.65%, respectively, for the proposed model. Stupendous experimental results demonstrated that the proposed predictor “βLact-Pred” has surpassed results from the existing methods.
An innovative system of coupled steel plate shear wall with pin FUSE in link beam: Cyclic behavior and energy dissipation

Coupled steel plate shear wall (C-SPSW) is one of the resisting systems with high ductility and energy absorption capacity. Energy dissipation in the C-SPSW system is accomplished by the bending and shear behavior of the link beams and SPSW. Energy dissipation and floor displacement control occur through link beams at low seismic levels, easily replaced after an earthquake. In this study, an innovative coupled steel plate shear wall with a yielding FUSE is presented. The system uses a high-ductility FUSE pin element instead of a link beam, which has good replaceability after the earthquake. In this study, four models of coupled steel plate shear walls were investigated with I-shaped link beam, I-shaped link beam with reduced beam section (RBS), box-link beam with RBS, and FUSE pin element under cyclic loading. The finite element method was used through ABAQUS software to develop the C-SPSW models. Two test specimens of coupled steel plate shear walls were validated to verify the finite element method results. Comparative results of the hysteresis curves obtained from the finite element analysis with the experimental curves indicated that the finite element model offered a good prediction of the hysteresis behavior of C-SPSW. It is demonstrated in this study that the FUSE pin can improve and increase the strength and energy dissipation of a C-SPSW system by 19% and 20%, respectively.
Experimental research in construction

Humans' unique use of tools originated with their capability to observe, to link causes with effects and to conduct trial and error experiments. Experimental research today is still using these same basic elements albeit augmented by sophisticated tools and methods. Researchers conducting scientific experiments in the construction arena, however, face a "harsh" environment to work in. This paper draws from 20 years of experimental work in construction and engineering education. It provides a short historic background before discussing a framework useful to categorize the various ways researchers conducted experiments that provided meaningful results. Many examples are used to underscore the most important points.
Identification and modelling of a three phase arc furnace for voltage disturbance simulation

This paper presents a new arc furnace model which copes with the two main voltage disturbances normally associated with arc furnaces: voltage fluctuations; and harmonics. The model is based on the stochastic nature of the electric arc current-voltage characteristic. The model has been estimated from measurements made in two actual electric plants. Although a single-phase model has been normally proposed, this paper develops a three-phase model in order to fully represent the unbalances that are present in real industrial plants and which play a central role in the behavior of compensation devices such as SVCs. The model has been implemented using the SIMULINK environment in order to facilitate later simulation of advanced disturbance control systems. Finally, the simulation results are compared with actual data in order to validate the accuracy of the model.
Dynamic structural cell responses in the thymus to acute injury, regeneration, and age

The thymus, the primary site of T cell development, is extremely sensitive to insult but also harbors tremendous capacity for repair. Using single cell sequencing of thymic structural cells, as well as functional and structural analyses, we revealed distinct regenerative programs by endothelial and mesenchymal subsets after injury that stimulated epithelial repair; the compartment primarily supporting T cell development. Thymic function not only declined over lifespan, contributing to immune aging, but the capacity of the thymus to regenerate after damage also declined in old mice. This could be attributed to an inability of the old microenvironment to induce reparative programs; leading to reduced ability to restore tissue structure and function. These findings provide a detailed framework for the response of structural cells to aging and acute damage, which could have considerable implications for our understanding of aging immunity and recovery from treatments such as chemotherapy and bone marrow transplant.
Development on muscle suit: realization of abduction motion

We have been developing a "muscle suit" providing muscular support to the paralyzed or those otherwise unable to move on their own, as well as for manual workers. Muscle suit is a wear without a metal frame and it uses a McKibben actuator driven by compressed air. Because actuators are sewn into the garment, no metal frame is needed, making the muscle suit very light and cost-efficient. Most medical and welfare apparatuses were developed for caregivers rather than patients in need of nursing, causing patients to lose their own identity and a positive attitude. With muscle suit, patients could control their movement on their own will. Muscle suits are very helpful for both muscular and mental support.
Proteolytic Cleavage of the Extracellular Domain Affects Signaling of Parathyroid Hormone 1 Receptor

Parathyroid hormone 1 receptor (PTH1R) is a member of the class B family of G protein-coupled receptors, which are characterized by a large extracellular domain required for ligand binding. We have previously shown that the extracellular domain of PTH1R is subject to metalloproteinase cleavage in vivo that is regulated by ligand-induced receptor trafficking and leads to impaired stability of PTH1R. In this work, we localize the cleavage site in the first loop of the extracellular domain using amino-terminal protein sequencing of purified receptor and by mutagenesis studies. We further show, that a receptor mutant not susceptible to proteolytic cleavage exhibits reduced signaling to Gs and increased activation of Gq compared to wild-type PTH1R. These findings indicate that the extracellular domain modulates PTH1R signaling specificity, and that its cleavage affects receptor signaling.