Miracle-dz/UniFAR-FTUs huggingface dataset:
Smart Meter Data Privacy

Smart grids (SGs) promise to deliver dramatic improvements compared to traditional power grids thanks primarily to the large amount of data being exchanged and processed within the grid, which enables the grid to be monitored more accurately and at a much faster pace. The smart meter (SM) is one of the key devices that enable the SG concept by monitoring a household's electricity consumption and reporting it to the utility provider (UP), i.e., the entity that sells energy to customers, or to the distribution system operator (DSO), i.e., the entity that operates and manages the grid, with high accuracy and at a much faster pace compared to traditional meters. However, the very availability of rich and high-frequency household electricity consumption data, which enables a very efficient power grid management, also opens up unprecedented challenges on data security and privacy. To counter these threats, it is necessary to develop techniques that keep SM data private, and, for this reason, SM privacy has become a very active research area. The aim of this chapter is to provide an overview of the most significant privacy-preserving techniques for SM data, highlighting their main benefits and disadvantages.
Gas exchange and putrescine content as drought stress indicators in corn cultivars fertilized with silicon

The effects of drought stress on maize have been extensively reported in tropical and subtropical areas, including morphological changes in plants and reductions in the grain yield. The development of sustainable alternatives that help mitigate the negative impacts of water stress is indispensable for the development of agricultural crops. This study evaluates the effect of silicon fertilization in two irrigation blades, on gas exchange, putrescine content, quantification of Ca, K, Zn, and Fe by neutron activation and grain yield in two maize cultivars, tolerant and sensitive to drought stress. Two experiments were conducted, the first using BR1010 (sensitive to drought stress) and the second using DKB-390 (tolerant to drought stress), in 19 dm -3 pots with one plant in each pot. The experiment was organized in randomized blocks, in a factorial scheme, combining two irrigation blades (30 percent and 100 percent of necessary water replacement) and two silicon conditions per pots: control (-Si), and 27g Si (+Si) using calcium silicate (10.5 percent Si) with four replicates. The contents of putrescine, Ca, K, Zn, and Fe, as well as transpiration rate, stomatal conductance, and net photosynthetic contents were quantified. Maize yield was measured at the end of the study. It was concluded that supplementation with Si contributes to a 12 percent increase in yield for BR-1010 (drought sensitive) and 14 percent for DKB-390 (drought tolerant). Si increased the net photosynthetic rate, transpiration rate, and stomatal conductance in DKB-390. The content of putrescine increased in plants submitted to drought stress and can be considered as an indicator of drought stress. The leaf contents of Ca, K, Zn, and Fe varied according to the cultivars and water blade studied.
Applied Ridge and LASSO Methods in Cox Proportional Hazard Modelling

Cox Proportional Hazard (PH) is used to estimate the relationship between some variables of failure in an examination. We assess the survival for the patients of cardiovascular disease in the ICCU RSMY Bengkulu. There are 10 variables used in order to predict survival in patients, taken from the respondent demographic and laboratory test results. The more explanatory variables are used, causing correlations among variables (multicollinearity). Multicollinnearity Become a problem in data analysis Because It causes less precise results. The use of ridge regression and LASSO are Able to overcome the problem of multicollinearity. In this study, using Cox PH when there are three variables that significantly affect the survival of Patients with cardiovascular disease. The results of Cox LASSO, also indicates three variables affect the survival significantly, while the other variables become selected (0). The results of Cox Ridge only Able to shrink variable close to 0. The smallest error test using RMSEP, Indicating that the method of Cox Ridge is the best estimation models in predicting survival in patients with cardiovascular disease.
Effects of Terpenoids from Salvia Willeana in Delayed-type Hypersensitivity, Human Lymphocyte Proliferation and Cytokine Production

The effect of the lipophilic extract of S. willeana and three terpenoids isolated therefrom, camphor, lupeol and oleanolic acid, on oxazolone-induced hypersensitivity was evaluated. The extract reduced the ear edema by 46% at 24 h after challenge. All three terpenoids inhibited the edema and suppressed cytokines release at different rates. Lupeol inhibited the swelling by over 50% and reduced the production of IL-1β by 62%. Camphor caused inhibition of the efferent phase (45% inhibition at 72 h) and the levels of IL-1β, IL-4 and TNF-α (around 80% inhibition). Oleanolic acid diminished moderately the reaction and the levels of IL-4 and TNF-α. We also demonstrated that the three terpenoids inhibited human T-lymphocytes proliferation in a concentration-dependent manner and induced their apoptosis. Thus, these terpenoids could be considered anti-inflammatory constituents of S. willeana.
Supplementary Materials: Doubly Stochastic Variational Inference for Neural Process with Hierarchical Latent Variables

where xi is M -dimensional vector, x1:N = [x1, x2, . , xN ] is a set, operation π : [1, 2, . , N ] 7→ [π1, π2, . , πN ] imposes a permutation over the order of elements in the set. The PIF suggests the image of the map is regardless of the element order. Another related concept permutation equivariant function (PEF) keeps the order of elements in the output consistent with that in the input under any permutation operation π.
Dislocation of the hips in children with bilateral spastic cerebral palsy, 1985–2000

The aim of this study was to assess the rate of hip dislocation at different ages in children with bilateral spastic cerebral palsy attending special schools in southern Derbyshire, UK, between 1985 and 2000. The medical notes of 110 individuals (68 males, 42 females) were obtained. They were divided into four groups according to the Gross Motor Function Classification System (GMFCS). We determined whether or not their hips were dislocated at the ages of 5, 10, and 15 years, and the kind of surgery performed in each case. The percentage of individuals with one or both hips dislocated increased with age and with severity of disease. Of those in GMFCS Level II (n= 18), none had dislocations; Level III (n= 16), none had dislocations at ages 5 and 10, but 11% had by the age of 15; Level IV (n= 35), 8% had dislocations by age 5, 19% by age 10, and 30% by age 15; Level V (n= 41), 22% had dislocations by age 5, 48% by age 10, and 50% by age 15. Forty‐two per cent of individuals with hip dislocation had not had previous preventive surgery. Twenty‐one per cent of hips operated on still proceeded to dislocation. We conclude that there was a high rate of hip dislocation, especially in GMFCS groups Levels IV and V, and that this often occurred very early. Preventive surgery avoided dislocation in many children. However, orthopaedic referral was often not made before dislocation was discovered, or the referral was made too late for surgery on soft tissue to be successful. These results may be compared with those from current programmes of hip management, involving radiological surveillance and early use of conservative and surgical interventions.
Signaling from {beta}1- and {beta}2-adrenergic receptors is defined by differential interactions with PDE4

b 1 - and b 2 -adrenergic receptors ( b ARs) are highly homologous, yet they play clearly distinct roles in cardiac physiology and pathology. Myocyte contraction, for instance, is readily stimulated by b 1 AR but not b 2 AR signaling, and chronic stimulation of the two receptors has opposing effects on myocyte apoptosis and cell survival. Differences in the assembly of macromolecular signaling complexes may explain the distinct biological outcomes. Here, we demonstrate that b 1 AR forms a signaling complex with a cAMP-speciﬁc phosphodiesterase (PDE) in a manner inherently different from a b 2 AR/ b -arrestin/PDE complex reported previously. The b 1 AR binds a PDE variant, PDE4D8, in a direct manner, and occupancy of the receptor by an agonist causes dissociation of this complex. Conversely, agonist binding to the b 2 AR is a prerequisite for the recruitment of a complex consisting of b -arrestin and the PDE4D variant, PDE4D5, to the receptor. We propose that the distinct modes of interaction with PDEs result in divergent cAMP signals in the vicinity of the two receptors, thus, providing an additional layer of complexity to enforce the speciﬁcity of b 1 - and b 2 -adrenoceptor signaling.
Development of a Tool for the Determination of Simultaneity Factors in PEV Charging Processes

In this paper, an open-source Tool for the calculation of simultaneity factors of Electric Vehicles (EV) (i.e. battery electric vehicles (BEV) and plug-in hybrid electric vehicles (PHEV)) charging processes is presented. In addition, the peak loads of EV and households can also be displayed, taking into account the EV and household specific simultaneities. In the following, the underlying input parameters and calculations of the Tool are explained. Based on this, different results are generated and discussed in detail.
Stimulating the Human Visual System Beyond Real World Performance in Future Augmented Reality Displays

New augmented-reality near-eye displays provide capabilities for enriching real-world visual experiences with digital content. Most current research focuses on improving both hardware and software to provide digital content that seamlessly blends with the real world. This is believed to not only contribute to the visual experience but also increase human task performance. In this work, we take a step further and ask the question of whether the capabilities of current and future display designs combined with efficient perception-inspired content optimizations can be used to improve human task performance beyond the human capabilities in the natural world. Based on an in-depth analysis of previous literature, we hypothesize here that such enhancements can be achieved when the human visual system is provided with content that optimizes the oculomotor responses. To further investigate possible gains, we present a series of perceptual experiments that built upon this idea. More specifically, we focus on speeding up accommodation response, which significantly contributes to the eye-adaptation when a new stimulus is shown. Through our experiments, we demonstrate that such speedups canbe achieved, and more importantly, they can lead to significant improvements in human task performance. While not all of our results give definite answers, we believe that they reveal plentiful opportunities for further enhancing the human experience and task performance when using new augmented-reality displays.
Object Detection from Images using Convolutional Neural Network based on Deep Learning

: According to the object detection definition object detection can be defined by identifying different objects automatically from image files. Implementing by multiple deep learning technique, many problems which occur frequently and disturb the accuracy can be improved. Convolutional neural network are currently the state of the art solution for object detection. To improve and test object detection system is the main task of this project. This system is applied for images based on convocational neural network. In this arena there are two parts. From theoretical part, relevant literature and how convocational neural network improved computer vision are studied and from the experimental part how easily a convocational neural network can be implemented for object detection will be shown.
Eight Weeks of Interval Training Led to no Improvement in Cardiovascular Variables in the Elderly

Postgraduate Program in Physical Education, Federal University of Juiz de Fora, Juiz de Fora, MG, Brazil. Strength Training Studies and Research Laboratory, Federal University of Juiz de Fora, Juiz de Fora, MG, Brazil Laboratory of Sport and Exercise Sciences, Catholic University of Petrópolis, Petrópolis, RJ, Brazil Department of Physical Education, Estácio de Sá University, Petrópolis, RJ, Brazil Postgraduate Program in Physical Education, Federal University of Rio de Janeiro, Brazil Laboratory of Physical Activity Neuroscience, Salgado de Oliveira University, Niterói, Brazil Laboratory of Physical Activity Neuroscience, Neurodiversity Institute, Queimados, RJ, Brazil
Molecular mechanisms of microtubule plus end regulation in Drosophila

Microtubule plus ends are occupied and controlled by a special group of proteins. The first microtubule plus end tracking protein to be described was human CLIP170, a member of a conserved protein family. In spite of the large number of studies devoted to the CLIP proteins their function is still poorly understood, especially in the context of a developing metazoan organism. In order to study the function of CLIP190 in Drosophila development, two P-element insertion alleles were characterised. They were found to be hypomorphic, decreasing the expression of the gene, which, however, had no effect on fly viability or development. Other efforts to disrupt CLIP-190 demonstrated that flies are tolerant to substantial deviations from the normal levels of the protein. Studies of the subcellular behaviour of CLIP190 in Drosophila cell culture revealed its distinct localisation during the cell cycle. Its interphase microtubule plus end binding ability was found to depend on the presence of another microtubule regulator, EB 1, and a direct interaction between the two proteins was demonstrated. In prometaphase CLIP190 localises to unattached kinetochores, which depends on the Dynein-Dynactin complex and associated proteins. The cell cycle regulation of CLIP190 was investigated and several possible regulators were tested. An RNAi screen in Drosophila cell culture was undertaken to identify new microtubule regulators. Thirty proteins were selected on the basis of their ability to bind to microtubules or tubulin. Their systematic depletion in tissue culture cells, followed by immunofluorescence examination of the mjcrotubule cytoskeleton identified four proteins required for normal microtubule organisation. This study revealed the molecular mechanisms that control the localisation of CLIP-190 during the cell cycle and identified four new microtubule regulators. It will therefore increase our understanding of microtubule regulation in Drosophila
Map Merging for UAV Swarms

In this thesis, we present an implementation of a genetic-algorithm-based method for merging occupancy grid maps. This method finds the relative pose of agents by iteratively evolving a population of relative poses using a fitness function to evaluate each individual pose. We apply the method on two datasets, which shows that the approach can merge maps with relatively high noise and initial poses of agents being up to 20 meters apart. With known local poses of agents in their respective maps and with the common merged map, we can approximate the pose of agents relative to each other. Another benefit of the map merging is that we can significantly reduce the time needed for exploration tasks by using multiple agents with a shared map at once.
PSYCHOLOGICAL FACTORS AFFECTING VISITOR'S VISITATION DECISION OF MUSEUMS IN KEDAH

Museums have been preserving and conserving thousands of artefacts that contributed to our generation current knowledge of the past. Kedah has 6 museums with different purposes and the most significant and profitable museum is the Muzium Padi. Despite having 6 museums scattered in the district, on an estimated 301,045 visitors were recorded in 2016. This depressing numbers could clearly show that the Kedah Museum Management faces problems in attracting visitors although efforts were said to have been made by them. Ringgits spent on attractive marketing promotions and events were not able to change people’s perspective of Kedah museums. Based on that fact as well as on observation, it is fair to say that museums in Kedah are unable to attract visitors because they failed to understand reasons behind decision making of museum visitation. The management holds a responsibility to understand that people engage in museum visits for different reasons or motives. In this study, psychological influence in visitation is examined and is defined into 6 different perspective. These perspectives include motivation, perception, lifestyle, learning, personality and value, belief and attitude. Understanding all these perspectives are the key factors in capturing visitor’s visitation. This research was done in the state of Kedah to find out what psychological perspective has an effect on visitor’s visitation decision. Findings showed that personality perspective is the most dominant and significance psychological that influence visitor’s visitation to museum.
Qualitative properties for solutions to subcritical fourth order systems

We prove some qualitative properties for singular solutions to a class of strongly coupled system involving a Gross--Pitaevskii-type nonlinearity. Our main theorems are vectorial fourth order counterparts of the classical results due to J. Serrin \cite{MR0170096}, P.-L. Lions \cite{MR605060}, P. Aviles \cite{MR711867}, and B. Gidas and J. Spruck \cite{MR615628}. On the technical level, we use the moving sphere method to classify the limit blow-up solutions to our system. Besides, applying asymptotic analysis, we show that these solutions are indeed the local models near the isolated singularity. We also introduce a new fourth order nonautonomous Pohozaev functional, whose monotonicity properties yield improvement for the asymptotics results due to R. Soranzo \cite[Theorem~5]{MR1436822}.
Essential components in vector spaces over finite fields

A subset H of non-negative integers is called an essential component, if d(A+H) > d(A) for all A ⊂ N with 0 < d(A) < 1, where d(A) is the lower asymptotic density of A. How sparse can an essential component be? This problem was solved completely by Ruzsa. Here, we generalize the problem to the additive group (Fp[t],+), where p is prime. Our result is analogous to but more precise than Ruzsa’s result in the integers. Like Ruzsa’s, our method is probabilistic. We also construct an explicit example of an essential component in Fp[t] with a small counting function, based on an argument of Wirsing.
The Import Trade Forecasting Model Based on PCA: Evidence from Rwanda

A developing country like Rwanda heavily is keen on international trade for several essential goods in the development of an economy. This study investigated the influence of various factors affecting import trade, and use principal component analysis to determine an empirical model for a comprehensive analysis of the influencing factors of import trade of Rwanda using secondary data over the period from 1980-2017. The PCA model showed that Rwanda’s import trade is principally littered with investment fundamental factors, income consumption factors, price factors, inflation factors, and savings factors and the empirical results showed that Rwanda’s import trade is negatively correlated with the investment fundamental and savings factors, the income consumption factors, price factor, and the inflation are positively correlated and therefore the forecast for the period 2018-2025 revealed that the import trade of Rwanda may experience an increase. The implication is that unstable price and currency depreciation cause high income consumption and increased import trade volume. The study advises policy makers on international trade first to pay attention to the accumulation of investment and savings checking if providing support for import trade control and enhance economic security. Second, stabilize the price and manage to keep inflation low and stable. Third, better focus on improving domestic production by not permitting Rwandan currency (Frw) to lose the worth, thus directly forming the necessity for foreign merchandise for investment purposes to increase the level of production exportation, which might have a giant positive impact on saving culture linked to economic growth.
Improved Chandrayaan-1 M data: A northwest portion of the Aristarchus Plateau and contiguous maria

We provide and test a method to obtain significant improvement of available Chandrayaan-1 M data. The advance is achieved using the Gaussian λ-convolution of spectra and Fourier filtration of images. The main result is imagery of the reflectance across different wavelengths as well as parameters of 1 μm and 2 μm absorption bands with unprecedented quality. This approach can be particularly useful for further investigations using M data, since it produces improved imagery of various lunar surface characteristics. We studied a region comprising a portion of the Aristarchus Plateau, Montes Agricola, and a small part of the mare surface in Ocean Procellarum to the north of Montes Agricola. We found that the lava flows in the area between the Aristarchus Plateau and Montes Agricola have a chemical/mineral composition different in comparison with mare areas to the northwest of the ridge Montes Agricola. We also identified distinct spectral properties of morphologically young craters located on the plateau and mare surface. A correlation diagram for positions of the minima of the 1 μm and 2 μm bands allows a cluster analysis of the region, and we map areas associated with a cluster corresponding to pyroclastic glasses. Relationships between geologic and spectral parameter maps were estab-
Laboratory Model of Delta Robot

This thesis had the aim to design a delta robot that is able to pick and place objects. The central controller used in this project was an Arduino Mega 2560; this controller is responsible for the movement of the motors. The motors used for this thesis were servo motors. Furthermore, Python and OpenCV were used in order to implement image recognition. With the help of a camera, image recognition was responsible for the shape detection and the position of the objects, where lately this position would be sent as an input to calculate the inverse kinematics. The objects used were circles and rectangles, and they had similar colour and sizes. The inverse kinematics were implemented using the Arduino IDE. As a result, the robot was able to pick and place objects, defining if there is a circle or rectangle and setting it in different boxes determined by the shapes.
Etiological Spectrum of Anaemia of Elderly

Purpose: The elderly population has been rising in recent years all over the globe. Anemia of Elderly (AOE) or geriatric anemia in old age group is being widely observed. Independent of its cause anemia has shown to affect physical function among elderly. Various studies have shown the prevalence of anemia in elderly aged >65 years as approximately 10% which rises to 50% in individuals aged >80 years. The study was conducted with the aim to evaluate and study hematological profile and etiological spectrum of anemia in elderly. Method: It was a cross-sectional study conducted from November 2014 to February 2016.Elderly anemics aged 60 years and above visiting Department of Medicine, GTB hospital were evaluated and studied. Results: Nutritional anemia was the most common cause of anemia in elderly. Folic acid deficiency was the most common nutritional deficiency. Conclusions: Nutritonal anemia is the most common cause of anemia in elderly living in low to medium group countires while Nutritional anemia, ACD and unexplained anemia are in equal proportion in west.Folic acid reserves deplete early in elderly and their monitoring can help in predicting poor dietary intake in at risk elderly and those living in senior citizen homes.