Miracle-dz/UniFAR-FTUs huggingface dataset:
What's It Like to Be a Universe: Implications of Being In, Of, and About a Brain, or a Speculative Panconsciousness Approach to Quantum Nonlocality

abstract:The problem of quantum nonlocality references instantaneous entanglements happening between particles at great distances, putting under question physical assumptions about time and local effects. Despite a wide range of proposed solutions in physics, the problem persists; however, due to the recent interest in panconsciousness and panpsychism in philosophy as well as numerous suggestions that consciousness and quantum physics are intimately related, I argue in favor of thinking strange quantum effects—and nonlocality as case in point—in lieu of conscious activity happening at a universal scale. Drawing on the mind-brain problem or "the hard problem" as an intellectual resource and particularly pertinent metaphor in the case helps to illuminate the argument; briefly stated, I argue that a conscious universe eliminates the necessity of thinking distance as a problem needing to be resolved to comprehend disparate physical observations. In other words, I offer a speculative vision for quantum nonlocality and ultimately aim to encourage scholars to more carefully consider what it is like to be In, Of, and About a brain when thinking about the universe.
Development an active electrodes system for acquisition and wireless transmission of electrocardiography signal lead II

This article presents the design and construction of a wireless electrocardiograph of one derivation using active electrodes, the stages of adequacy of the signal originated from the electrodes, the digitization stage, digital filtering, transmission using Bluetooth towards an Android mobile device, where there is located an apk which was developed using the IDE Processing, are described. The tests determine that noise and harmonic distortion do not affect in a significant way the system, also prove a right functionality from the system through comparisons made using signal to noise ratio (SNR), total harmonic distortion (THD) and signal to noise ratio and distortion (SINAD) from multiple electrocardiography signals which were acquire by the prototype and a Cassy Sensor ECG device used as a reference.
Generative Adversarial Network Combined with SE-ResNet and Dilated Inception Block for Segmenting Retinal Vessels

This study develops an accurate method based on the generative adversarial network (GAN) that targets the issue of the current discontinuity of micro vessel segmentation in the retinal segmentation images. The processing of images has become increasingly efficient since the advent of deep learning method. We have proposed an improved GAN combined with SE-ResNet and dilated inception block for the segmenting retinal vessels (SAD-GAN). The GAN model has been improved with respect to the following points. (1) In the generator, the original convolution block is replaced with SE-ResNet module. Furthermore, SE-Net can extract the global channel information, while concomitantly strengthening and weakening the key features and invalid features, respectively. The residual structure can alleviate the issue of gradient disappearance. (2) The inception block and dilated convolution are introduced into the discriminator, which enhance the transmission of features and expand the acceptance domain for improved extraction of the deep network features. (3) We have included the attention mechanism in the discriminator for combining the local features with the corresponding global dependencies, and for highlighting the interdependent channel mapping. SAD-GAN performs satisfactorily on public retina datasets. On DRIVE dataset, ROC_AUC and PR_AUC reach 0.9813 and 0.8928, respectively. On CHASE_DB1 dataset, ROC_AUC and PR_AUC reach 0.9839 and 0.9002, respectively. Experimental results demonstrate that the generative adversarial model, combined with deep convolutional neural network, enhances the segmentation accuracy of the retinal vessels far above that of certain state-of-the-art methods.
IMPACTO DE FATORES METEOROLÓGICOS SOBRE AS CONCENTRAÇÕES DE OZÔNIO MODELADOS POR ANÁLISE DE SÉRIES TEMPORAIS E MÉTODOS ESTATÍSTICOS MULTIVARIADOS

O objetivo desta pesquisa foi de desenvolver um modelo para prever as concentracoes de ozonio em funcao das variaveis climaticas. As medidas de concentracao do ozonio foram realizadas na Universidade Federal de Mato Grosso do Sul, utilizando dados do periodo de janeiro a dezembro de 2014. As variaveis preditoras referentes ao clima (umidade relativa, velocidade do vento, chuva, aeerossois, indice de claridade, radiacao solar global e temperatura) foram cedidas pela CEMTEC-Campo Grande-MS. Foram realizadas analise de componentes principais (PCA) e analise de regressao linear multipla (MLR) aplicadas a estas series temporais. As principais relacoes observadas nestas analises foram entao usadas para obter uma equacao de regressao que liga as concentracoes de ozonio diurnas com parâmetros climaticos. O modelo desenvolvido e capaz de explicar 99% da variabilidade nas concentracoes de ozonio de superficie com um erro de 0,2%
Solar-Driven Thermochemical Water-Splitting by Cerium Oxide: Determination of Operational Conditions in a Directly Irradiated Fixed Bed Reactor

Concentrated solar energy can be transformed into electricity, heat or even solar fuels, such as hydrogen, via thermochemical routes with high exergetic efficiency. In this work, a specific methodology and experimental setup are described, developed to assess the production of hydrogen by water splitting making use of commercial cerium oxide, ceria (CeO2), in a solarized reactor. A fixed bed reactor, directly irradiated by a 7 kWe high flux solar simulator (HFSS) was used. Released H2 and sample temperature levels were continuously monitored. Three tests were carried out consisting of three consecutive redox cycles each, with irradiances in the range of 1017–2034 kWm−2. It was necessary to achieve a compromise between sample temperatures (higher temperatures lead to higher reduction rates) and sample stability, since absorbed radiation can degrade a sample at lower temperature (1280–1480 °C) than in a conventional infrared oven (T > 2000 °C). Irradiating the surface of the sample with an irradiance of 2034 kWm−2 (270 W of total radiation power) during 9.5 min eventually degraded the sample, resulting in a conversion into stoichiometrically reduced oxide (Ce2O3) of 11%. A similar conversion was achieved (9.7%) after 2 min of irradiation at 270 W (100% of radiation), but without irreversibly damaging the sample.
Point Cloud Key Point Extraction Algorithm Based on Feature Space Value Filtering

With the rapid development of 3-dimensional (3D) acquisition technology, point clouds have a wide range of application prospects in the fields of computer vision, autonomous driving, and robotics. Point cloud data is widely used in many 3D scenes, and deep learning has become a mainstream research method for classification with the advantages of automatic feature extraction and strong generalization ability. In this paper, a hierarchical key point extraction framework is proposed to solve the problem of modeling the local geometric structure between points. Various point cloud models such as PointNet, PointNet++, and DGCNN are analyzed and their features in local key point are extracted. Based on these analyses, an indexed edge geometric feature spatial value screening neural network (IEGCNN) is proposed. This network extracts features from each point and its neighborhood, calculates the distance between the center point and the points within its neighborhood, and adds the point orientation information to the edge feature spatial value screening network. The relationship between points in the edge network architecture is projected onto a 3D coordinate system and decomposed into three orthogonal bases. The geometric structure between two points is modeled by feature aggregation based on the angle between the edge vector and the base vector and the distance between the center point and the neighboring points. The proposed method has the capability of fast processing of point cloud data by significantly reducing the training and recognition time. The experimental results show that this method achieved high classification accuracy value. This work also provides an idea to solve the problem of real-time target detection network, which has a broad applications prospect in the deployment of movable devices and real-time processing.
Adaptive neuro-fuzzy interface system based performance monitoring technique for hydropower plants

ABSTRACT Energy has played a significant role in developing civilization, but the continuous use of fossil fuels has hampered the environment. Hydropower is the alternative to fossil fuels. But most of the hydropower plants in hilly areas suffer from silt erosion problems. Erosion of underwater parts creates vibration and noise and reduces machine efficiency. Therefore, online monitoring of turbines and other equipment is necessary to minimize losses due to erosion and part-load operation. Various studies are reported in the literature and found that correlation-based machine efficiency monitoring is one of the popular techniques. ANN method is useful for system modeling with a wide range of applications. However, despite the excellent classification capacities, its development can be time-consuming, computer-intensive, and prone to overfitting. In this paper, an Adaptive Neuro-Fuzzy Interface System (ANFIS) has been utilized to develop a correlation that removes the drawbacks of ANN and can predict the efficiency of the machine with an R2-value of 0. 99,976 having a Mean Absolute Percentage Error (MAPE) of 0.0108% at 0.06482% Root Mean Square Percentage Error (RMSPE).
Android-Based Mobile Learning in Genetics Subject

The use of ICT-based learning media can make learning more effective. One of the ICT-based learning media that can be used as a learning medium that is operated on a smartphone device is mobile learning (m-learning). M-learning is developed with a multimedia format that provides text, images, audio, and video. The ease of internet access through cellular phone devices such as blackberries, iPhones, PDAs, and smartphones makes it easier to make learning applications using an Android-based system. The results of developing learning media based on android mobile smartphones show that student’s motivation and learning outcomes increase. Learning media based on an android mobile smartphone is produced as a supplement to the Genetics course. Learning media based on an android mobile smartphone is a positive impact and a breakthrough from ICT advances to improve the quality of learning.
Phenolic Compounds with Anti-virulence Properties Phenolic Compounds with Anti-virulence Properties

Natural products represent the major source of approved drugs and still play an impor- tant role in supplying chemical diversity as well as new structures for designing more efficient antimicrobials. They are also the basis for the discovery of new mechanisms of antibacterial action. In this regard, a large number of substances, mainly extracts from natural sources, have been obtained in order to identify their anti-virulence activity. In recent years, there is an increase in the study of anti-virulence natural product deriva tives. Different targets have been proposed as a solution to the serious problem of bacte - rial antibiotic resistance. Inhibition of bacterial quorum-sensing systems has been one of the most studied; however, there are other mechanisms involved in virulence regulation, damage to the host and bacterial survival, which suggests that there are another good targets such as bacterial secretion systems, biofilm formation, two-component systems, flagellum, fimbriae, toxins and key enzymes. Within the natural products, the main anti-virulence compounds are phenolic in nature, so that the next chapter describes and analyzes the relationship between chemical structure and activity of the main phenolic compounds reported.
Risk Factors for Development of Multiple-Class Resistance to Streptococcus pneumoniae Strains in Belgium over a 10-Year Period: Antimicrobial Consumption, Population Density, and Geographic Location (cid:1)

We investigated the impact of the usage of antibiotics in ambulatory patients in Belgium in 147 deﬁned geographical circumscriptions and at the individual isolate level. The study included 14,448 Streptococcus pneumoniae strains collected by the Belgium national reference lab from 1994 to 2004. Additional risk factors for resistance, such as population density/structure and day care attendance, were investigated for the same time-space window. A statistical model that included resistance to two or more antimicrobial classes offered the best ﬁt for measuring the changes in nonsusceptibility to penicillin, macrolides, and tetracycline over time and place in Belgium. Analysis at the geographic level identiﬁed antimicrobial consumption with a 1-year lag (0.5% increase per additional deﬁned daily dose) and population density as independent predictors of multiple resistance. Independent risk factors at the isolate level were age (odds ratio [OR], 1.55 for children aged <5 years), population density (7% increase in
Student Designers’ Interactions with Users in Capstone Design Projects: A Comparison Across Teams

Users play an important role in engineering design projects, from providing the basis for user requirements to defining how designs will be used in practice. However, student designers often struggle when interacting with users to elicit requirements or solicit design feedback. This study explored how three capstone design teams perceived the role of user interactions in their design projects, as well as the way each team approached their user interactions. One team viewed their project primarily as a technical challenge that did not require user input and consequently never met with their user. Another team saw user interactions as important mainly for informing user requirements and met with their user at the start of the semester to iterate on these requirements. However, this did not meet with their user again until after their prototype was completed. The third team viewed user interactions as important both for informing requirements and for soliciting design feedback. This team met with their user regularly while developing their prototype but were not always intentional in how they planned or conducted their interactions. These three perspectives point to specific gaps in student knowledge related to user interactions that future design pedagogy might target to help students elicit requirements and solicit design feedback from users more effectively.
Study on Path Planning of Urban Sharing-bike Connecting Rail Transit

Sharing-bikes are characterized by health, greenness and environmental protection, effectively solving the "last kilometer" problem. It is of great significance to reasonably plan the sharing-bike connecting rail transit routes to meet the traveler's needs, build safe urban traffic travel environment, and guide bicycle travel. Based on the shared bicycle trip data, this paper proposes an optimal paved lane path planning model for a sharing-bike connected rail transit based on traffic network. Based on spatial clustering and improved Dijkstra's algorithm, the steps and principles for solving the model are given. The results of the example of Beijing No. 2 Line as a planning example show that this model has the characteristics of convenience of route layout and deployment cost, and has certain feasibility, which enriches the path planning method of bicycle lanes.
Conﬁdence Metric in Critical Systems

The advent of portable computing devices and miniature sensing devices presents many new opportunities for personal healthcare. Formerly, most medical sensing devices were used in a hospital setting under the care of trained medical and technical personnel; soon, many devices will be worn throughout a patient’s daily life or installed at home and in assisted-living settings. These devices will collect health-related data for many purposes, by patients with chronic medical conditions (such as blood-sugar sensors for diabetics), people seeking to change behavior (e.g., losing weight or quitting smoking), or athletes wishing to monitor their condition and performance. The resulting data may be used directly by the person, or shared with others: with a physician for treatment, with an insurance company for coverage, with the adult children of elderly parents, or by a coach. Such systems have huge potential benefit to the quality of healthcare and quality of life for many people, but there are many opportunities for the sensor data to be tampered or otherwise inaccurate. Outside the hospital setting, in particular, the sensors may be applied by the patient or family members; the data may be gathered through a personal mobile device (such as a mobile phone), over a personal network (such as a wireless network at home), or over the public Internet. Therefore, the accuracy and availability of sensor data is difficult to ensure. To evaluate the trustworthiness of medical data gathered in this manner, we need a holistic system view that inspects contributions to risk and error in medical data as it flows from the patient to the caregiver. To be useful, systems must assure that high-quality information reaches the data user – or, at least, the system must be able to express some degree of confidence in the data being presented. Knowing the degree of confidence in data can be beneficial. First, caregivers can make more accurate decisions based on an understanding of confidence in the data. A quantifiable metric for confidence also allows for quality control of the system. A well-designed system can detect an anomaly in data, whether accidental or malicious, and alarm the caregivers for further verification.
Neural Control of Cell Cycle Events in Regenerating Salamander Limbs

SYNOPSIS. Nerves, wound epidermis, and injury are indispensable for salamander limb regeneration, but their mechanism of action is not understood. A hypothesis has been presented (Tassava and Mescher, 1975) which suggests that injury is important to dedifferen- tiation and entry of limb stump cells into the cell cycle, nerves are required for one or more G 2 events in order that cells can proceed to mitosis, and the wound epidermis maintains the daughter cells in the cell cycle. The resultant cells accumulate to form the blastema. Complete and partial denervation experiments, which attempted to test this hypothesis, are discussed. Blastema cell cycle parameters, measured after complete denervation, did not vary greatly from innervated controls, even though denervated blastemas were resorbed. Blastema cell cycle parameters of partially denervated limbs, which exhibited delayed regeneration, were likewise not lengthened when compared to completely innervated controls. These results are consistent with the view that after either complete or partial denervation, some blastema cells continue to cycle and reach the M phase in the same time as controls. Other blastema cells block completely, never reach M, and are then removed. A possible mechanism for resorption of denervated blastemas is presented.
Mixotrophy in chlorophytes and haptophytes

Chlorophytes and haptophytes are key contributors to global phytoplankton biomass and productivity. Mixotrophic bacterivory has been detected for both groups, but a shortage of studies with cultured representatives hinders a consistent picture of the ecological relevance and regulation of this trophic strategy. Here, the growth, primary production, fraction of feeding cells (acidotropic probes) and bacterivory rates (surrogate prey) are tested for two species of the chlorophyte genus Nephroselmis and the haptophyte Isochrysis galbana under contrasting regimes of light (high vs. low) and nutrients (non-limited and macronutrient-, micronutrient- and vitamin-limited), at low bacterial concentrations ( < 10 7 bacteria mL − 1 ). All three species were obligate phototrophs, unable to compensate for low light conditions through feeding. Under nutrient limitation, N. rotunda and I. galbana fed, but growth ceased or was signiﬁcantly lower than in the control. Thus, mixotrophic bacterivory could be a survival rather than a growth strategy for certain species. In contrast, nutrient-limited N. pyriformis achieved growth rates equivalent to the control through feeding. This strikingly differs with the classical view of chlorophytes as primarily non-feeders and indicates mixotrophic bacterivory can be a signiﬁcant trophic strategy for green algae, even at the low bacterial concentrations found in oligotrophic open oceans.
SOLANUM ERIANTHUM; ANALYSIS OF PHYTOCHEMICAL COMPOSITION

Solanum erianthum is a medicinal plant traditionally used all over the world to treat various human ailments. There is a very limited data available on phytochemical profile of Solanum erianthum. The present study evaluates complete phytochemical profile of the plant using standard methods. The results of the qualitative phytochemical analysis indicated the presence of saponins, tannins, alkaloids, steroids in the plant. The quantitative analysis showed the phytochemical groups present were in a significant amount viz., saponins (30.2 mg/g), tannins (45.9 µg/mg), flavanoids (148 µg/mg) and alkaloids (120µg/mg). The study supports Solanum erianthum as a good source of phytochemicals with potential pharmacological value.
THE EFFECT OF PROBIOTIC BACTERIA ON HIGH SUGAR DIET INDUCED DIABETES TYPE-2 SYMPTOMS IN FRUIT FLY: WITH FOCUS ON LIPID METABOLISM

As the prevalence of type 2 diabetes has increased globally, so has the need to further investigate the disorder’s underlying features and a potential target for treatment. Drosophila melanogaster has proven to be an excellent model organism to study type 2 diabetes (T2D). To see whether it can serve as a model organism to identify the treatment of T2D, a type 2 diabetes like model were created in Drosophila t hrough high sugar diet (HSD). The aim of the study was to investigate the therapeutic effects of six different probiotic bacteria strains on T2D characteristics markers. Longevity, size, and weight measurement were performed. Followed by verification of HSD effects on these phenotypes. It was demonstrated that probiotics could improve weight and lifespan. Treatment using probiotics showed statistically increased body weight in both 3 rd instar larvae and adult flies (p-value <0.05). There was no statistically significant difference in length between any of the groups including controls (p-value 0.25). However, the triglyceride assay showed a slightly significant difference between control low sugar diet and few of the treatment groups ( L. paracasei with p-value 0.037, and L. acidophilus with p-value 0.025) fed larvae/adult flies, and there was no statistically significant difference between controls (high and low sugar diets), and probiotics treatment groups ( L. plantarum, B. animalis and B. breve) fed larvae/adult flies with a p-value >0.05. To investigate the effect on gene expression of four genes (FASN CG3523 , FASN CG3524 , CG17374 & dsREBP) important in lipid metabolism, qPCR was performed using the Taqman method. All probiotic treatment groups had significantly decreased gene expression of FASN compared to the control groups. Findings of this study suggest that Drosophila melanogaster can be utilized as a model organism to study T2D and that further studies concerning the effects of probiotic treatment in Drosophila are required to fully understand the interactions and mechanism of action.