Miracle-dz/UniFAR-FTUs huggingface dataset:
ALERT: Adversarial Learning With Expert Regularization Using Tikhonov Operator for Missing Band Reconstruction

The Earth observation using remote sensing is one of the most important technologies to assimilate key attributes about the Earth’s surface. To achieve tangible consequence, the internal building blocks of such a complex system must operate flawlessly. However, due to a dynamically changing environment, degradation in sensor electronics, and extreme weather condition remotely sensed images often miss essential information. As the sensors operate over several years in space the likelihood of sensor degradation persists. This results in commonly observed issues, such as stripe noise, missing partial data, and missing band. Various ground-based solutions have been developed to address these technological bottlenecks individually. In this article, we devise a method, which we call ALERT, to tackle missing band reconstruction. The proposed method reconstructs the missing band with the sole supervision of spectral and spatial priors. We compare the proposed framework with state-of-the-art methods and show compelling improvement both qualitatively and quantitatively. We provide both theoretical and empirical evidence of better performance by regularized adversarial learning as compared to complete supervision. Furthermore, we propose a new residual-dense-block (RDB) module to preserve geometric fidelity and assist in efficient gradient flow. We show that ALERT captures essential features such that the spatial and spectral characteristics of the reconstructed band remains preserved. To critically analyze the generalization we test the performance on two different satellite data sets: Resourcesat-2A and WorldView-2. As per our extensive experimentation, the proposed method achieves 20.72%, 13.81%, 1.05%, 15.91%, and 2.94% improvement in the root mean square error (RMSE), SAM, SSIM, PSNR, and SRE, respectively, over the state-of-the-art model.
Creating a Hospital-Based Nursing Research Fellowship Program for Staff Nurses

Description: This partnership will provide a two year (part-time) graduate program in pediatric oncology. Classes from the University of Pennsylvania are transmitted to St. Jude in a classroom setting via room-based video conference (interactive television). At St. Jude, a pediatric oncology nurse practitioner coordinates student activity and clinical placement. The program is in its first year, with seven St. Jude nurses enrolled. In addition, the faculty at the University of Pennsylvania and St. Jude will partner in defining and expanding the role of the advanced practice nurse. Thus, the partnership extends beyond the traditional curriculum focus to implementation and practice setting change. Target Audience: Alternative means of education would be of interest to staff nurses,
Travel Attractions Recommendation based on Max-negative the Gated Recurrent Unit trajectory mining Representation

Although the traditional recommendation algorithm has achieved good results in the field of travel recommendation, due to the lack of data, the cold start and data sparseness problems and the neglect of the semantic problems hidden in the travel track, the low recommendation accuracy remains unresolved. Recently, the RNN model performed very well in recommending system sequence learning. We use RNN to model the travel sequence in the travel recommendation. In the pairwise, we can achieve a more accurate recommendation by effectively processing the negative samples and then training to generate a smaller loss function. Our method (Max-GRU) is optimized by adding additional negative sample and finding Max-negative on the Gated Recurrent Unit trajectory mining Representation Model. On the Shanghai tourism data and Guilin tourism data, both MRR@10 and RECALL@10 have been significantly improved compared to the use of the RNN model and baselines.
Increasing market power in Slovenia: Role of diverging trends between exporters and non‐exporters

This paper documents the evolution of markups in a small open economy, Slovenia, using a comprehensive data set covering the full population of firms. It makes three novel contributions to the literature. First, in contrast to other work for Europe, we find that markups have increased from 1.05 to 1.19 between 1994 and 2015. Second, while other research so far found exporters typically to have higher markups, we find the opposite in Slovenia. Though the rise in markups occurs both with exporters and non‐exporters, there is a consistent diverging trend in markups in favour of non‐exporters since 1999. This can be attributed to increased competitive pressure faced by exporters following the comprehensive trade liberalisation after 1999 and their increased participation in global value chains. Third, we decompose aggregate markups and show that the increase in markups, for both exporters and non‐exporters, is mainly driven by the within component rather than the reallocation effect. This suggests that all firms were increasing their markups, rather than high‐markup firms increasing their market share over time.
Effectiveness of essential oils of medicinal plants at reducing the amounts of allergen produced by the European house dust mite, Dermatophagoides pteronyssinus (Trouessart) (Acarology XIV : Proceedings of the International Congress)

Essential oils obtained from three medicinal plant species, namely, cinnamon ( Cinnamomum bejolghota [Buch.-Ham.] Sweet), citronella grass ( Cymbopogon nardus Rendle), and clove ( Syzygium aromaticum [L.] Merr. & L. M. Perry), were sprayed on allergenic materials (house dust plus spent mite medium produced by the European house dust mite, Dermatophagoides pteronyssinus [Trouessart]) to evaluate the effects of the oils on allergen levels. A 1% solution of each essential oil in 95% ethanol was sprayed on the allergenic materials (which contained about 50 µg of allergen per gram of material), and 95% ethanol, water, and untreated allergenic materials were used as controls. The sprayed materials were allowed to stand for 48 h, and then allergen levels were analyzed by means of an enzyme-linked immunosorbent assay method. The results showed that the essential oil from C. bejolghota reduced the amount of allergen ＞ 99.4%, and the essential oils from C. nardus and S. aromaticum reduced the amounts by 77.1% and 74.0%, respectively. In contrast, the 95% ethanol control reduced the amount of allergen by only 9.8%.
A measurement system based on internal cooperation of cameras in binocular vision

In this paper, a measurement system based on internal cooperation of cameras in binocular vision is proposed. In terms of the hardware structure, the system is composed of a binocular vision module, a controllable platform and an electronic gradienter, which can be used to collect binocular images and measure horizontal and vertical angles between the binocular vision module and objects. In terms of data processing, a new measurement method based on the cooperation of monocular and binocular vision (MBC) is put forward. Firstly, the depth values of some effective points are obtained according to feature point matching results. Then, a depth propagation algorithm based on MBC is adopted to compute other depth information of the object region. After that, the actual size of unit pixels is computed on the basis of the corresponding disparity value, and it is corrected according to the horizontal and vertical angles. Finally, accurate size measurement of the object is achieved by accumulating the number of pixels. Experimental results show that the proposed system can achieve more accurate measurement results compared to the traditional binocular vision measurement method. For all the experimental objects, the absolute relative measurement errors with our method are all lower than 3.5%.
A novel improved symbiotic organisms search algorithm

For last two decades, nature‐inspired metaheuristic algorithms together with their modified, improved, and hybrid versions have been gaining huge popularity in the field of optimization in solving continuous and complex real‐life optimization problems. In this work, a novel improved symbiosis organism search (SOS) algorithm, called self‐adaptive beneficial factor‐based improved SOS (SaISOS, in short) is suggested. The self‐adaptive benefit factors and a modified mutualism phase (called “Three‐way mutualism phase”) have been introduced here to upgrade the performance of SOS algorithm. A random weighted reflection coefficient and a new control operator have also been introduced. To validate the proposed algorithm and to compare its performance with other state‐of‐the‐art algorithms, 15 IEEE‐CEC 2015 functions have been employed and the experimental results confirm that SaISOS provides competitive results on most occasions. Also, the proposed algorithm is used to solve five real‐world optimization problems. Considering the average output, it is observed that the proposed method performs significantly better in solving the real‐world problems compared to the alternative state‐of‐the art techniques considered in this work.
Nursing Diagnoses Using the International Classification for Nursing Practice (ICNP®) for Institucionalized Elderly

Introduction: Nursing care for institutionalized elderly should be done through systematized actions and by using the nursing process, directing the care actions to the affected needs with theoretical support and use of classification systems. In this context, the objective was to develop nursing diagnoses of the International Classification for Nursing Practice for institutionalized elderly.Method: This is a descriptive study, developed in a Long-stay Institution for Elderly People in Northeast Brazil. The survey was conducted from April to May 2016, with 28 institutionalized elderly. Data collection was guided by a form based in Henderson’s theory and carried out through physical examination, clinical interview and records consultation. The nursing diagnoses were developed by using the International Classification for Nursing Practice version 2015. Data were analyzed using SPSS version 20.0. Results: Authors found 81 types of diagnoses, among which there was highlight to: impaired heart condition, productive cough, obesity, urinary incontinence, constipation, diarrhea, risk for falls, impaired sleep, impaired ability to perform hygiene, edema in the lower limbs and impaired vision, lack of recreational activity, positive socialization and positive religious belief. Most nursing diagnoses belonged to the needs of moving and maintaining desirable posture and communicating.Conclusion: There was an increased frequency of diagnoses related to biological needs.
Wastage amidst shortage: Strategies for the mitigation of standby electricity in residential sector in Nigeria

Due to rising population and the increasing rate of urbanization, residential electricity usage accounts for a large chunk of Nigeria’s electricity consumption. However, little attention is paid to electricity conservation in the country. In response to this, several studies are been tailored to ensure a rapid reduction in energy consumption through various alternatives including energy efficient technologies given the current state of inadequate electricity supply in the country. On this note, this article discusses the significance of standby electricity in Nigeria. The electricity generation and consumption patterns were briefly discussed while the current electricity saving behaviour and practices among the urban dwellers were detailed with a case study analysed. Based on the case study, it was discovered that the mean standby load across the 30 households were estimated at 60 W ranging from 34-144 W. Also, standby consumption accounts for 13-44% of the annual electricity consumption across the households. Finally, the strategies for electricity saving and sustainable consumption, most especially the mitigation of standby electricity were highlighted.
Voltage Stability Constrained OPF in Multi-Micro-Grid Considering Demand Response Programs

In this article, a new approach is proposed for the voltage stability constrained optimal power flow in a multi-micro-grid (MMG) environment. In the proposed optimization problem, locational marginal pricing (LMP), demand response (DR) programs, active and reactive power generation cost for different types of renewable energy resources such as photovoltaic, wind turbine, microturbine, diesel generator, and combined heat and power (CHP) systems are used for real simulation of the MMG system. Two main types of DR programs, namely peak clipping and load shifting DR programs, are considered in the proposed methodology. In the peak clipping DR programs, LMP is calculated for each bus of the MMG. Then, the candidate loads, selected to be curtailed by the market mechanism, are paid based on the LMP values. In load shifting DR programs, the loads are paid for decreasing their amount of active power at peak hours. In this approach, the decreased active and reactive powers are shifted to off-peak times. The optimization method is formulated as nonlinear programing in GAMS software and simulated on a 55-bus MMG test system. The results of the proposed method are compared with the existing methods and the outcomes confirm that superior results in cost function are obtained using the proposed approach.
Uncertainty Analysis of Two Methods in Hydrocarbon Prediction under Different Water Saturation and Noise Conditions

The uncertainty of two recently proposed methods, “new fluid factor” and “delta K”, is analyzed under different water saturation and noise conditions through Monte Carlo modelling. The new fluid factor performs reliably (all metric parameters are above 0.9) when the water saturation is up to 95%. The delta K has better performance (all metric parameters are close to 1) such that it is able to distinguish hydrocarbon from brine without the interference of high water saturation. The results prove the performances of the two methods are stable in a high water-saturation scenario. The analysis of noise indicates the methods are sensitive to noise in the input data in that the performance is excellent when the noise is relatively low (−20 dB) and decreases with increasing noise energy. The new fluid factor, which is in the interface domain, is more sensitive than delta K in the impedance domain. The metric parameters of the new fluid factor and delta K are in the range of 0.5 to 0.8 when the noise is high (−7 dB). High-quality input data and integration with other geophysical methods can effectively reduce these risks. In addition, two widely used traditional methods (fluid factor and Lambda-Rho) are analyzed as comparisons. It turns out the new fluid factor and delta K have better performance than traditional methods in both high water saturation and noise conditions.
An OpenMP-Based Algorithm for Multi-Nodes Computational of Super-Resolution

A new common OpenMP based parallel programming method MPMC (multi-node paralleling model base on multiprocessor devices) is proposed and implemented for data separation based to accelerate Super-Resolution (SR) task. PanguOS, a common parallel programming system designed with MPMC, is deployed with Secure Shell (SSH) to control devices and Secure Copy (SCP) to transmit the data stream on Ubuntu 16.04, and it has a good performance for SR task with remote sensing images. Experiments with images from geostationary-orbit earth observing satellite GaoFen(GF)-4, the method proposed can achieve almost 2.95 times acceleration at PanguOS, deployed with 3 Jetson TX2s, than a single Jetson TX2.
A Survey on Research of Code Comment Auto Generation

A code comment is an explanation of the code. As an important part of software development process, code comment plays an important role in software maintenance, software reuse and other fields. Automatic generation of code comment aims to study the automatic method of comment generation so as to improve the efficiency of software development. This paper summarizes the related concepts and researches of code comment, discusses the automatic generation technology of code comment and the evaluation of comment quality, introduces the application of code comment generation in the software domain, and finally analyzes the challenges of automatic generation of code comment, and looks forward to the future research in this field.
Comparison of diffusion-weighed MRI findings of the testis in patients with the advanced stage unilateral testicular varicocele -

The aim of this study was to compare the testicular apparent diffusion coefficient (ADC) values of the patients with unilateral advanced stage varicocele and healthy volunteers. Twenty-seven patients with unilateral advanced stage varicocele and twenty-seven healthy volunteers were included in the study. Those with a diagnosis of clinical varicocele and the healthy volunteers were examined clinical and color Doppler ultrasonography. Patients with a unilateral (left) varicocele clinically grade III, color Doppler ultrasound grade IV-V were included in the study. All the patients and healthy volunteers were obtained ADC values. Mean values were calculated and statistical comparison was performed. ADC values were analysed by using an independent t test for each participant. Pearson's correlation test was used for the comparison of left pampiniform venous diameter and both testicular parenchymal ADC values. Left testicular ADC values were observed to be significantly lower when a comparison of the testicular parenchymal with left advanced stage varicocele and healthy volunteers revealed significantly low left testicular ADC values in patients (p
Strong Medicine: How to Save Canada's Health Care System

stressing e.g. brain theory as an argument for holistic pastoral ministeries to persons experiencing the inherent brokeness of contemporary society (p. 27). I also wonder what can be the Church’s mystical yet nurturing influence to the predictable assurances of scientific thought (p. 47). These kind of Journals do more evil than good to the process of multidisciplinary clarification of the role of religion in our contemporary society. In that sense, this new Journal can perhaps function between the limits of a religious. denomination, but is not intellectually strong enough to support multidisciplinary dialogue on disease and health.
Knowledge, Attitude and Practice of Inclusive Education; Case Study of Young Person with Autism Spectrum Disorder in Nigeria

This thesis explores the impact of knowledge and attitude in the practice of inclusive education in Lagos State, Nigeria through the case study of a young person with autism spectrum disorder (ASD) in a mainstream primary school. The study looked at how the inclusive education policy adopted by the country in their National education policy (2004, 2008) is formulated and implemented in schools. The study identified the mechanisms that were constraining the process of inclusive education at the different levels of the social systems in which the schools are embedded and the reasons for the poor implementation of the policy. The survey of the teachers which was carried out by questionnaire revealed that their knowledge and understanding of Autism Spectrum Disorder is generally low. The age and qualification of the teachers were linked to the level of knowledge of ASD. The interviews of the key professionals around the young person with ASD confirmed the link between the age and qualifications of the professionals to their knowledge and attitudes towards young people with ASD and disabilities in general. The professionals, including the teachers who have knowledge and understanding of ASD are not sharing them with those who do not have because of the lack of leadership at the school, local authority and the national level needed in promoting inclusive education. The education administrators at the local authority level who are supposed to monitor the implementation of the policy in schools are constrained by their low level of knowledge and negative attitude. The Federal ministry of education that is responsible for the special needs education in the country stopped at the formulation of the policy without clear guidance on its implementation at the different levels of local authority and school. The study concluded with recommendations for the implementation of the recently formulated Special Needs Education Policy that is accompanied by guidelines. The negative attitudes from the cultural beliefs and values can be addressed through knowledge and understanding of SEND. The knowledge is needed by all involved in education of people with special needs as this will enhance their practice of inclusive education. This knowledge that the country needs is already available through the professionals and teachers that were trained in the teacher training colleges and universities specially designated for that purpose. The training of teachers can be done by the teachers and professionals who have the knowledge of the different types of SEND. All the education administrators from the school, local authority level up to the national level that are responsible for the implementation of the policy need the knowledge that can come through training and continuing professional development as well as multi-agency approach to management of people with disabilities.
2 Bit Reconfigurable Unit-Cell and Electronically Steerable Transmitarray at $Ka$ -Band

This communication presents the design, optimization, fabrication, and characterization of an electronically steerable transmitarray (TA) with 2 bits of phase quantization per unit cell. The proposed TA operates in linear polarization at <italic>Ka</italic>-band and is composed of <inline-formula> <tex-math notation="LaTeX">$14\times14$ </tex-math></inline-formula> reconfigurable unit-cells. Four p-i-n diodes are integrated on each unit-cell to control the radiated field phase distribution across the TA aperture. The prototype demonstrates experimentally pencil beam scanning over a <inline-formula> <tex-math notation="LaTeX">$120^{\circ } \times 120^{\circ }$ </tex-math></inline-formula> window, a maximum gain at broadside of 19.8 dBi, and a 3 dB fractional bandwidth of 16.2%.
Weight-Free Multi-Objective Predictive Cruise Control of Autonomous Vehicles in Integrated Perturbation Analysis and Sequential Quadratic Programming Optimization Framework

Adaptive cruise control of autonomous vehicles can be posed as a multi-objective optimization problem where several conflicting criteria, e.g., fuel economy, tracking capability, ride comfort, and safety, need to be satisfied simultaneously. In order to reconcile these conflicting criteria, this paper presents a novel multi-objective predictive cruise control (MOPCC) approach in the feasible perturbation-based real-time iterative optimization framework. The longitudinal dynamics of vehicles are described as nonlinear car-tracking models. The new cost function for MOPCC is defined as the distance of the criteria vector to the vector of separately minimized criteria (i.e., a utopia point of the criteria). The weight-free MOPCC is then obtained by solving a constrained nonlinear optimal control problem in receding horizon fashion. Due to the difficulty in solving the optimization problem, the integrated perturbation analysis and sequential quadratic programming (InPA-SQP) is employed to compute the cruise controller. The merit of the proposed MOPCC is that it can systematically handle different cruise scenarios regardless of the weights of the predictive cruise control (PCC) criteria. Several driving cases are used to demonstrate the effectiveness and benefits of the proposed approach via comparing to weighted PCC approaches.