Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning Sequential General Pattern and Dependency via Hybrid Neural Model for Session-Based Recommendation

Recent study shows that recommendation system not only relys on user’s static preference, but also dynamic preference. Consequently, it leads to the emergence of session-based recommendation. With the development of recurrent neural network, this kind of method can capture representations of users’ sequential behaviors from a large number of sessions. However it is prone to spurious dependency problem. Recently, convolutional neural network has also shown its potential in modelling session, especially in extracting complex local pattern of subsequence. Therefore, we propose a hybrid neural model, called SGPD, for learning sequential general pattern and dependency for session-based recommendation. In SGPD, we propose recurrent residual convolution network to extract general pattern of subsequence in a session. Furthermore, the SGPD scans sequence from forward and reverse direction by bidirectional recurrent neural network, and learns sequential dependency of a session. Finally, the objective function is constructed by cross entropy and the model parameters are learned. The experimental results show that the precision rate, recall rate and mean reciprocal ranking of SGPD are greatly improved compared with the state-of-art methods. It has good application prospect.
Smart Distribution Network with Integrationof Stochastic Renewable Energy Sourcesand Plug-in Electric Vehicles:Challenges and Issues

In order to ensure the longevity of electricity supply for human living and comfort on earth, electric grid should be an intelligent, well established, automated and more importantly environmental friendly energized network. Demand crises and CO2 emissions all over the globe have led to deploy more number of Renewable Energy Sources (RESs). The Smart grid technologies are becoming the most important entities in the electric power sector, in terms of modernizing the legacy grid with high-level penetration of RES and maintain reliability and quality of electric power. Exploitation of advanced technologies to optimize the power usage and reduce greenhouse gasses emission is inevitably the main concerns for the electric utility. RES integration brought so many issues along with their advantages. Plug-in Electric Vehicles (PEV) during last decade has shown drastic market growth with reduced cost and higher energy density storage. Bulk number of PEV integration with uncoordinated charging schedule is a big hurdle to power system operation. This paper mainly focuses on the challenges and issues that will arise in Smart Distribution System (SDS) because of high-level penetration of both RES and PEV. The impacts of intermittent PES and uncoordinated PEVs Journal of Green Engineering, Vol. 8 4, 431–474. River Publishers doi: 10.13052/jge1904-4720.841 This is an Open Access publication. c © 2018 the Author(s). All rights reserved. 432 K. Ramakrishna Reddy and S. Meikandasivam on distribution network stability are discussed. Exploitation of PEV as a storage unit with bi-directional power flow is discussed to mitigate solar and wind power generation fluctuations. Real time data from Danish distribution network is used for case study to demonstrate PEV utilization for grid ancillary support.
Ignite: A New Paradigm For Curriculum Design And Deployment In Undergraduate Industrial Engineering Education

This paper describes a process for achieving major reforms to the undergraduate industrial engineering curriculum at the University of Tennessee – Knoxville (UTK). The work described has been funded by the National Science Foundation (NSF) and has as its main goal the development of a new paradigm for baccalaureate engineering education. The model under development in UTK’s Department of Industrial and Information Engineering is called Ignite and will build on seven years of experience in improving the quality of engineering education through the Engage freshman engineering program, which began as an NSF sponsored activity. Ignite will build on these experiences and also incorporate the findings and specific recommendations of the Boyer Commission on Educating Undergraduates in the Research University. Though discipline-specific, our intent is to develop a curriculum and pedagogy that can form the basis for a new generic template in undergraduate engineering education that can be deployed on a national scale. Ignite’s reformed curriculum will enable the transition from the traditional model of loosely connected individual courses to a modular structure of highly interconnected courses. Teaching methods will also undergo a radical change. An integrated learning experience will replace demonstrate-then-emulate methods. The focus will be on problem-based, cooperative, and service learning exercises; research; information technologies; and faculty teaming. The design methodology described begins with the creation of a knowledge base consisting of program learning outcomes, content elements, and teaching resources. From the knowledge base, a process is implemented leading to a new modularized integrated curriculum that will be team-taught, will include innovations in teaching and assessment methods, and will use graduate teaching assistants in a novel way. The paper is organized in four sections: making the case for change, a proposal for innovation, a paradigm-changing methodology, and roadblocks and keys to success.
Characterization of Nutrient Intake in Biopsy-Confirmed NAFLD Patients

Abstract Objectives: Weight loss improves the liver pathophysiological status of nonalcoholic fatty liver disease (NAFLD) patients. However, there are few studies that investigate the accurate relationships between nutritional intake and disease progression in NAFLD patients. Methods: A total of 37 biopsy-confirmed NAFLD patients were enrolled in this study. Clinical and nutritional control data of 5074 persons were obtained from the National Institute of Health and Nutrition. Each NAFLD subject recorded dietary intake for seven consecutive days using a dietary questionnaire and photographs of each meal. A dietitian analyzed and quantified the nutritional data in each patient. We further analyzed the nutritional intake of NAFLD patients in three groups according to the following criteria: (1) liver fibrosis degree (advanced, early), (2) gender (male, female), and (3) body mass index (BMI) (high, low). Results: Excesses or deficiencies of multiple nutrients were found in NAFLD patients compared with control subjects. In addition, there were variations in nutritional intake. (1) The intake of vitamins A, B6, and E, pantothenic acid, soluble dietary fiber, and salt was lower in the advanced fibrosis group than in the early fibrosis group. (2) Fat intake was higher in male patients, and dietary fiber intake was lower in both male and female patients compared with control subjects. (3) Saturated fatty acid intake was higher, and copper and vitamin E intakes were lower in patients with high BMI than with low BMI. Conclusions: Our study demonstrates that differences were found in some nutrient intake of NAFLD patients and controls and according to the severity of the conditions (liver fibrosis degree, BMI).
Deep Learning-Based Autonomous UAV-BSs for NGWNs: Overview and a Novel Architecture

To address the ever-growing connectivity demand in communications, the adoption of ingenious solutions, such as utilization of unmanned aerial vehicles (UAVs) as mobile base stations, is imperative. In general, the location of a UAV base station (UAV-BS) is determined by optimization algorithms, which have high computationally complexities and are hard to run on UAVs due to energy consumption and time constraints. In this article, we overview the UAV-BS trajectory optimization problem for next generation wireless networks and show that a convolutional neural network (CNN) model can be trained to infer the location of a UAV-BS in real time. To this end, we create a framework to determine the UAV-BS locations considering the deployment of mobile users (MUs) to generate labels by using the data obtained from an optimization algorithm. Performance evaluations reveal that once the CNN model is trained with the given labels and locations of MUs, the proposed approach is, indeed, capable of approximating the results given by the adopted optimization algorithm with high fidelity, outperforming reinforcement learning-based approaches in resource-constrained settings. We also explore future research challenges and highlight key issues.
Secondary Failure of Tocilizumab in Treating Elderly-Onset Rheumatoid Arthritis With Systemic Symptoms Complicated by Diverticulum Perforation

The treatment of rheumatoid arthritis (RA) has advanced from the use of steroids to disease-modifying anti-rheumatic drugs (DMARDs) and biologics such as tumor necrosis factor (TNF) and interleukin-6 (IL-6) inhibitors. Historically, steroids have been the mainstream in the clinical treatment of RA; however, the development of DMARDs has changed the RA treatment structure. In addition, biologics can alleviate RA symptoms. This case report describes the secondary failure of tocilizumab in treating RA with fatigue symptoms. Treatment with tocilizumab decreases C-reactive protein (CRP) levels, which may make detecting RA exacerbation difficult; therefore, obtaining the patient's precise history and thorough physical examinations are necessary. This case demonstrates the complexity of treating elderly-onset RA and reports practical methods for effective treatment.
Influência do programa PMAQ na qualificação da Atenção Básica: revisão de literatura

Objetivo: compreender a respeito da influência do programa PMAQ na qualificação da Atenção Básica. Metodologia: Este estudo diz respeito a uma revisão bibliográfica, de cunho integrativo, sendo os dados somados de maneira qualitativa. A amostragem foi levantada para dar suporte a este trabalho de revisão, tendo como foco a literatura acadêmica especializada, tendo como bases os dados da BVS, SCIELO e LILACS que são as principais ferramentas de pesquisa de artigo de significância literária. Resultados: A principio no filtro geral da temática foram encontrados 214 artigos que abordaram sobre o tema atenção básica com base no PMAQ-AB, após filtro sistemático restaram 50 publicações encontradas que abordaram a temática proposta, sendo que 07 artigos foram selecionados para discussão. Após leitura exploratória e crítica, os artigos foram organizados por título, periódico, autor, ano e objetivo. Considerações finais: É evidenciado neste estudo os resultados do PMAQ para melhoria do acesso a saúde na maioria das pesquisas analisadas, demonstrando que este programa é capaz de provocar nos profissionais e gestores mais necessidade de trabalhar com ações ainda mais qualificadas e que possibilite que as politicas públicas em saúde sejam cumpridas e ampliadas para atender as necessidades da população, apontando que este incentivo provoca influencia no cotidiano da saúde.
Detecting Spatial-Temporal Changes of Urban Environment Quality by Remote Sensing-Based Ecological Indices: A Case Study in Panzhihua City, Sichuan Province, China

Panzhihua City is a typical agricultural-forestry-pastoral and ecologically sensitive city in China. It is also an important ecological defense in the upper Yangtze River. It has abundant mineral resources, including vanadium, titanium, and water supplies. However, ecological and environmental problems emerge due to the excessive development of mining, agriculture, animal husbandry, and other non-natural urban economies. Therefore, a scientific understanding of the spatio-temporal changes of the eco-environment of Panzhihua is critical for environmental protection, city planning, and construction. To objectively evaluate the eco-environmental status of Panzhihua, the remote sensing-based ecological index (RSEI) was first applied to Panzhihua, a typical resource-based city, and its ecological environmental quality (EEQ) was quantitatively assessed from 1990 to 2020. This study explored the effects of mining activities and policies on EEQ and used change detection to reveal the spatial-temporal changes of EEQ in Panzhihua City over the past three decades. In addition, this study also verified the suitability of RSEI for evaluating EEQ in resource-based city using spatial autocorrelation, revealed the spatial heterogeneity of EEQ in Panzhihua City using optimized hot spot analysis, and showed different ecological clustering by hot spot analysis at two scales of urban and mining areas. According to the results: (1) From 1990 to 2020, the general eco-environmental condition of Panzhihua is improving, but there are still regional differences. (2) The Moran’s I value ranges from 0.436 (1990) to 0.700 (2020), indicating that there is autocorrelation in the distribution of eco-environmental quality. (3) At the mine, the mean value of RSEI dropped by 20–40%, and the EEQ decreased significantly due to mining activities. (4) A series of ecological restoration policies can buffer the negative impact of mining activities on the ecosystem, resulting in a slight improvement in the quality of the ecological environment. This study evaluates the EEQ of resource-based city and its spatial-temporal changes using RSEI constructed by the Google Earth Engine (GEE) platform, which can provide theoretical support for ecological and environmental conditions monitoring, development planning, and environmental protection policy-making of a resource-based city.
Altered Expression of TMEM43 Causes Abnormal Cardiac Structure and Function in Zebrafish

Arrhythmogenic cardiomyopathy (ACM) is an inherited heart muscle disease caused by heterozygous missense mutations within the gene encoding for the nuclear envelope protein transmembrane protein 43 (TMEM43). The disease is characterized by myocyte loss and fibro-fatty replacement, leading to life-threatening ventricular arrhythmias and sudden cardiac death. However, the role of TMEM43 in the pathogenesis of ACM remains poorly understood. In this study, we generated cardiomyocyte-restricted transgenic zebrafish lines that overexpress eGFP-linked full-length human wild-type (WT) TMEM43 and two genetic variants (c.1073C>T, p.S358L; c.332C>T, p.P111L) using the Tol2-system. Overexpression of WT and p.P111L-mutant TMEM43 was associated with transcriptional activation of the mTOR pathway and ribosome biogenesis, and resulted in enlarged hearts with cardiomyocyte hypertrophy. Intriguingly, mutant p.S358L TMEM43 was found to be unstable and partially redistributed into the cytoplasm in embryonic and adult hearts. Moreover, both TMEM43 variants displayed cardiac morphological defects at juvenile stages and ultrastructural changes within the myocardium, accompanied by dysregulated gene expression profiles in adulthood. Finally, CRISPR/Cas9 mutants demonstrated an age-dependent cardiac phenotype characterized by heart enlargement in adulthood. In conclusion, our findings suggest ultrastructural remodeling and transcriptomic alterations underlying the development of structural and functional cardiac defects in TMEM43-associated cardiomyopathy.
Isoenzyme study of causative agents of leishmaniasis using glutamate dehydrogenase and hexokinase

Leishmania Spp. are a group of protozoan parasites which cause a wide range of human diseases from localized self-healing cutaneous lesions to fatal visceral infections. Isoenzyme characterization by using various enzyme systems is a reliable and important tool for differentiation between various species of protozoa especially family trypanosomatidae including genus Leishmania. In this study two enzyme systems were evaluated for identification of isolated organisms from patients with cutaneous leishmaniasis (CL) in endemic foci of Fars province South of Iran. In some cases, it was observed that some enzyme systems routinely used in Leishmania parasite identification centers do not differentiate well between species, so it was decided to use non routine enzyme systems. Isoenzyme pattern of two enzyme systems, Gloutamate Dehydrogenase (GDH) and Hexokinase (HK) were compared by Poly Acryl amide Gel Electrophoresis (PAGE) and Cellulose acetate Electrophoresis (CE) in characterization of Leishmania major, Leishmania tropica and Leishmania infantum. Our findings showed the enzymes GDH on PAGE could differentiate L. major from L. tropica and L. infantum. The HK enzymatic system used on CE in this study has ability to differentiate three species of L. major, L. tropica and L. infantum.
Stability study of AC grid-connected quasi-Z-source inverter-based photovoltaic power systems

The presence of photovoltaic power systems is currently increasing as green power sources, and quasi-Z-source inverters are commonly used to connect them to AC grids. However, stability concerns can appear due to inverters. Several studies address these concerns but they are not completely solved yet. This paper contributes with a simulation study about stability of AC grid-connected quasi-Z-source inverter-based photovoltaic power systems. The study is based on the PSCAD/EMTDC model of these systems and analyzes the influence of system parameters on subsynchronous and harmonic instabilities. Several solutions to improve these instabilities are discussed.
An Explainable Data-Driven Framework for Fuel Cell Aging Prediction Under Dynamic Condition

Fuel cells are considered as the preferred future power source due to their environmental friendliness and high efficiency, whereas short lifespan and high cost hinder their large-scale commercialization. Fuel cell prognostic can contribute to prolonging the fuel cell life and reducing the overall cost, and it has attracted research attention recently. However, most of the prognostic methods treat the measured voltage as the health indicator and thus can only be applied to the fuel cell that works under constant current condition. To handle the prognostic under frequent load change condition, this article proposes an attention mechanism-based explainable data-driven framework. In the framework, system parameters are used to construct a virtual voltage as the health indicator for degradation prediction. Attention mechanism is integrated to find the essential parameters that affect fuel cell degradation, which can reduce the sensors and provide an explainable prediction result. The proposed framework is testified using aging data obtained under dynamic condition. Results show that the current, outlet air temperature and time are the most important parameters that affect the prediction. Comparisons with conventional methods indicate the proposed method can get a promising prediction.
An In-Depth Understanding of the Residential Property Value Premium of a Bikesharing Service in Portland, Oregon

Bikesharing (BSS) is an emerging alternative mode of transportation with various benefits, such as reducing reliance on single-occupancy automobiles, boosting public health, lowering pollution levels, and enhancing accessibility. Accordingly, proximity to BSS stations can be factored into residential property values. Thus, this research attempts to explore whether (1) proximity to BSS was positively associated with residential property prices in Portland, Oregon, (2) proximity to BSS and public transportation modes showed synergistic effects on the values, and (3) the magnitude of the BSS premium intensified over time. The findings of spatial hedonic models indicate (1) a premium for proximity to BSS in both single-family and multi-family housing markets with varying magnitudes, (2) synergetic effects between BSS and public transportation modes, including light rail transit, streetcar, and bus, and (3) an unchanged premium for BSS between 2016 and 2019 with a few exceptions. The findings expand discussions around transportation-induced property value premium and offer policy implications.
The Socio-Economic Cost of Diabetes Mellitus in Korea Using National Health Insurance Claim Data, 2017

(1) Purpose: As the economy develops and lifestyles become more westernized, diabetes is on the rise in Korea. This study tried to measure the socio-economic cost of diabetes by estimating the direct medical expenses and indirect costs used in Korea during the year due to diabetes mellitus. (2) Methods: This study extracted the insurance claim records from the Korea National Health Insurance claim database to determine the healthcare services provided to patients with diabetes mellitus in 2017. The total diabetes mellitus-related cost was the sum of the direct medical care costs: the costs paid by insurers and patients, the non-covered care costs and the prescribed pharmaceuticals costs, and also the direct non-medical care costs: the transportation costs for visits in outpatients and inpatients and the guardian’s cost for hospitalized patients, as well as the indirect cost: lost productivity. (3) Findings: The total socio-economic cost of diabetic patients in 2017 measured in this study was KRW 3.2 trillion, of which 48.3% was used for medical expenses, 10% was non-medical expenses, and 41.7% was estimated as indirect expenses. (4) Implications: Korea is considered to be aging significantly, and it is considered that more attention should be paid to reducing medical expenses through diabetes management.
A Broadband Circularly Polarized Planar Antenna Array Using Magneto-Electric Dipole Element With Bent Strips for Ka-Band Applications

This letter proposes a Ka-band broadband circularly polarized (CP) planar array based on the magneto-electric (ME) dipole structure. The antenna element consists of linearly polarized (LP) ME-dipole and two rotationally symmetrical bent strips. The two strips are connected to the opposite side of the LP ME-dipole to obtain a rotating electric field required by CP radiation. A feed structure of microstrip is implemented to excite the antenna element through an H-shaped coupling slot. The tightly coupled array technique is adopted to enhance the axial ratios (ARs) of the element. The proposed CP element realizes an AR bandwidth of 28%. Then, an 8 × 8 array with a 1-to-64 full-corporate feeding network is designed for experimental validation. The test results indicate that the 8 × 8 array prototype exhibits an impedance bandwidth of 50% covering 24 to 40 GHz, a 3 dB AR bandwidth of 28% covering 26.7–35.3 GHz, a gain between 20.6 and 22.1 dBic over the whole overlapped bandwidth, and a radiation efficiency higher than 75%. Attributed to the excellent CP performance and ease of integration with front-end circuits, the designed array is a good select for Ka-band wireless and satellite communications.