Miracle-dz/UniFAR-FTUs huggingface dataset:
Acute Pain Assessment Inadequacy in the Emergency Department: Patients’ Perspective

For many patients, acute pain is a common cause to seek treatment in an Emergency Department (ED). An inadequate assessment could cause inappropriate pain management. The aim of this study was to describe and explain patients’ perceptions of acute pain assessment in the Emergency Department. The data were collected from ED patients (n = 114). Patients reported that nurses were asking about intensity of pain at rest, but only 52% during movement. According to the patients, the most common tools to assess acute pain were the verbal rating scale (VRS; 54% of patients), numerical rating scale (NRS; 28% of patients), and visual analogue scale (VAS; 9.7% of patients). Over twenty per cent of patients stated that ED nurses did not ask about the intensity of pain after analgesic administration. Twenty-four per cent of the patients were not pleased with nursing pain assessment in the ED. The assessment of acute pain is still inadequate in the ED. Therefore, ED nurses need to be more attentive to systematic acute pain management of patients in the ED.
International Conference on Indoor Positioning and Indoor Navigation, IPIN 2021

Abstracting is permitted with credit to the source. Libraries are permitted to photocopy beyond the limit of U.S. copyright law for private use of patrons those articles in this volume that carry a code at the bottom of the first page, provided the percopy fee indicated in the code is paid through Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923. For reprint or republication permission, email to IEEE Copyrights Manager at pubspermissions@ieee.org. All rights reserved.
Composição da malacofauna terrestre urbana de União da Vitória, extremo sul do Paraná, Brasil / Composition of the urban terrestrial malacofauna of União da Vitória, extreme south of Paraná, Brazil

Os gastrópodes terrestres enfrentam um grave problema, além das alterações nos ambientes naturais, sofrem a competição direta com espécies exóticas e pela introdução demasiada dessas espécies. Nesse sentido, este estudo teve como objetivo realizar um inventário das espécies de gastrópodes terrestres em União da Vitória, extremo sul do Paraná, com a finalidade de fornecer informações para análises ecológicas e taxonômicas em uma área urbana. Na zona urbana central foram amostradas 20 áreas domiciliares, durante os meses de junho, setembro e dezembro de 2019 e março de 2020. Em cada local, os gastrópodes foram coletados usando três quadrantes com área amostral de 5 m2. As amostragens envolveram padronização de esforço amostral através do método de coleta ativa manual. Um total de 10 famílias, 15 espécies e 1.835 espécimes foram registrados na biocenose estudada. As espécies Leptinaria sp. , Happia insularis, Belocaulus angustipes e Succinea aff. burmeisteri foram encontradas em apenas uma coleta. As espécies dominantes foram Bradybaena similaris (70,3%, n = 1.290), Phyllocaulis soleiformis (10,7%, n = 196) e Achatina fulica (7,85%, n = 144) totalizando 88,85 % dos espécimes coletados. As espécies constantes foram Bradybaena similaris, Achatina fulica, Cornu aspersum, Limax maximus, Limacus flavus, Phyllocaulis soleiformis e Meghimatium pictum. Entre as espécies encontradas, sete são espécies exóticas introduzidas. A utilização de uma metodologia de coleta adequada para ambiente urbano possibilitou a amostragem de espécimes que apresentam preferência por hortas, jardins, plantações, terrenos baldios e solo. De uma maneira geral, a fauna de moluscos foi subrepresentada, entretanto, a riqueza tanto das espécies exóticas quanto as espécies nativas foi equivalente, o que é esperado em centros urbanos.
A Review On The Potential Of Spirulina And Its Application In Nutraceuticals And Pharmaceuticals

Microalgae and lactic acid bacteria have become an innovative and promising resource of nutritional supplements as they are commercially cultivated to produce valuable compounds, including protein, pigments, lipids, essential amino acids, monounsaturated and polyunsaturated fatty acids, carotenoids, steroids and vitamins. The pharmacological actions, such as nutraceutical improvements, lowering LDL cholesterol levels, anti-inflammation, antioxidation, antitumor, immunological enhancement, and hepatorenal protection from Spirulina spp and Lactic acid Bacillus have been reported recently. Based on the therapeutic potential of spriulina fermentation based lactic acid bacteria, different application studies such as, determining the effect of Spirulina fermentation with Lactic acid bacteria (FSL) on enhancing the Nutraceutical properties of Spirulina species, investigating the effect of Spirulina fermentation with Lactic acid bacteria (FSL) on lowering the LDL cholesterol and increasing HDL cholesterol, and evaluating the cytotoxic effect and influence of FSL on human cancer cell line was reviewed in the current article.
Conventional and HD-tDCS May (or May Not) Modulate Overt Attentional Orienting: An Integrated Spatio-Temporal Approach and Methodological Reflections

Transcranial Direct Current Stimulation (tDCS) has been employed to modulate visuo-spatial attentional asymmetries, however, further investigation is needed to characterize tDCS-associated variability in more ecological settings. In the present research, we tested the effects of offline, anodal conventional tDCS (Experiment 1) and HD-tDCS (Experiment 2) delivered over the posterior parietal cortex (PPC) and Frontal Eye Field (FEF) of the right hemisphere in healthy participants. Attentional asymmetries were measured by means of an eye tracking-based, ecological paradigm, that is, a Free Visual Exploration task of naturalistic pictures. Data were analyzed from a spatiotemporal perspective. In Experiment 1, a pre-post linear mixed model (LMM) indicated a leftward attentional shift after PPC tDCS; this effect was not confirmed when the individual baseline performance was considered. In Experiment 2, FEF HD-tDCS was shown to induce a significant leftward shift of gaze position, which emerged after 6 s of picture exploration and lasted for 200 ms. The present results do not allow us to conclude on a clear efficacy of offline conventional tDCS and HD-tDCS in modulating overt visuospatial attention in an ecological setting. Nonetheless, our findings highlight a complex relationship among stimulated area, focality of stimulation, spatiotemporal aspects of deployment of attention, and the role of individual baseline performance in shaping the effects of tDCS.
Asociación entre el peso de mochilas escolares con el modo de desplazamiento al colegio y dolor musculoesquelético

The aims of this study were; 1- Analyze the mode of commuting of the school children to school, the weight and type of school bags they were carrying and musculoskeletal pain separately by sex. 2- Analyze the association between weights of school bags with mode of commuting to school. A total of 76 children (8.8 ± 0.3 years, 50% children) participated in the study. The Pediatric Pain questionnaire was used to determine the presence or absence of pain. The PACO questionnaire was used to know the mode of commuting to school. The results showed that the active commuting were higher in boys than girls (p =0.042). In addition, there was a significant association between meeting the school bags weight recommended and active commuting from school to home (OR =3.88, p =0.039). Meeting with the weight of the school bags recommended may favor the non-appearance of musculoskeletal pain and active commuting to school. Los objetivos del estudio fueron; 1- Analizar el modo de desplazamiento de los escolares al colegio, el peso y tipo de mochilas transportadas y dolores músculos-esqueléticos diferenciados por sexo. 2- Analizar la asociación entre el peso de las mochilas con el modo de desplazamiento al colegio. Un total de 76 escolares (8.8±0.3 años, 50% niños) participaron en el estudio. El cuestionario Pediátrico de Dolor sirvió para determinar la presencia o no de dolor. El cuestionario PACO fue utilizado para determinar el modo de desplazamiento al colegio. Los resultados indicaron que las niños se desplazaron más de forma activa que los niñas (p =0.042). Además, existió una asociación significativa entre cumplir con el peso recomendado de las mochilas y el desplazamiento activo del colegio al hogar (OR =3.88, p =0.039). Cumplir con el peso recomendado de las mochilas está asociado a la ausencia de dolor musculo-esquelético y el desplazamiento activo al colegio.
Method of Heat Balances for Calculating Heat Transfer in Flat Multilayer Nanostructures

We suggest method of calculation of one-dimensional temperature field in multilayer nanostructures. Our method allows obtaining non-stationary temperature distribution in the periodical and non-periodical spatial structures with a different degree of periodicity. Comparison temperature distributions in the multilayer nanostructures and equivalent continuous samples are performed in this study. In addition we suggest experimental application of our method for estimation an average value of thermal Kapitza resistance.
Collision Avoidance of a Snake Robot

This brief presents a control system for a snake robot based on range sensor data that semiautonomously aids the robot in avoiding collisions with obstacles. In the proposed system, an operator indicates the desired velocity of the first link of the robot using a joystick, and the joint input which accomplishes both the desired velocity of the first link and collision avoidance between subsequent links and obstacles is automatically calculated by the controller, which selects the links needed to be grounded and exploits redundancy. The controller uses real-time data from range sensors for obstacle positions. The experimental system, which has range sensors and the function generating environmental map using simultaneous localization and mapping, was developed with decreasing calculation cost, and experiments were performed to verify the effectiveness of the proposed system in unknown environments.
Risks affecting hybrid rice yield in Bangladesh: two-tier approach of appraisal and management

Purpose: Bangladesh faces a growing food demand from a growing population under the continuous shrinking of arable land. Most Bangladeshi farmers produce inbred rice. Hybrid rice has been shown, in China, to be far more productive per hectare. Bangladesh cannot feed itself long-term without ample produce of hybrid rice. Yet, fewer Bangladeshi farmers are growing hybrid rice at present; they perceive hybrid rice cultivation as too risky. The present study was conducted to define the yield risks of hybrid rice and develop management strategies to allow hybrid rice to contribute more to food production. Research Method: Both quantitative and qualitative methods were used to evaluate the risks of hybrid rice production from the farmers’ perspective and the experts’. Three hundred fifty-four randomly-sampled hybrid rice farmers were interviewed with key informants, focus group discussions, experts’ opinion surveys, and workshops. A fuzzy triangular scale was used in calculating the yield risks of hybrid rice production. Findings: From the results, unexpected yield performance, germination failure, unavailability of seed in sowing seasons, and crop failure due to pest infestation were identified as the critical yield risks. A regression model determined that education, family income, innovativeness, hybrid rice cultivation experience, and rice selling in public procurement are lower yield risks in growing hybrid rice. Therefore, educated farmers from high-income families, innovative farmers, experienced farmers, and farmers who sell rice in public procurement face lower yield risk in hybrid rice production. Originality/value: This study mainly identified the critical risk and management strategies for hybrid rice production in Bangladesh. The policy advises encouraging hybrid rice cultivation by reducing yield risk, which is also offered.
A Deep Reinforcement Learning Framework for Fast Charging of Li-ion Batteries

One of the most crucial challenges faced by the Li-ion battery community concerns the search for the minimum time charging without damaging the cells. This goal can be achieved by solving a large-scale constrained optimal control problem which relies on accurate electrochemical models. However, these models are limited by their high computational cost as well as identifiability and observability issues. As an alternative, simple output-feedback algorithms can be employed, but their performance strictly depends on trial and error tuning. Moreover, particular techniques have to be adopted to handle safety constraints. With the aim of overcoming these limitations, we propose an optimal-charging procedure based on deep reinforcement learning. In particular, we focus on a policy gradient method to cope with continuous sets of states and actions. First, we assume full state measurements from the Doyle-Fuller-Newman (DFN) model, which is projected to a lower-dimensional feature space via Principal Component Analysis. Subsequently, this assumption is removed and only output measurements are considered as the agent observations. Finally, we show the adaptability of the proposed policy to changes in the environment’s parameters. The results are compared with other methodologies presented in the literature, such as the reference governor and proportional-integral-derivative approach.
The last missing piece of the Triangle of U: the evolution of the tetraploid Brassica carinata genome

Ethiopian mustard (Brassica carinata) is an ancient crop with significant potential for expanded cultivation as a biodiesel feedstock. The remarkable stress resilience of B. carinata and desirable seed fatty acid profile addresses the ongoing food vs. fuel debate as the crop is productive on marginal lands otherwise not suitable for even closely related species. B. carinata is one of six key Brassica spp. that share three major genomes: three diploid species (AA, BB, CC) that spontaneously hybridized in a pairwise manner, forming three allotetraploid species (AABB, AACC, and BBCC). Each of these genomes has been researched extensively, except for that of B. carinata. In the present study, we report a high-quality, 1.31 Gbp genome with 156.9-fold sequencing coverage for B. carinata var. Gomenzer, completing and confirming the classic Triangle of U, a theory of the evolutionary relationships among these six species that arose almost a century ago. Our assembly provides insights into the genomic features that give rise to B. carinata’s superior agronomic traits for developing more climate-resilient Brassica crops with excellent oil production. Notably, we identified an expansion of transcription factor networks and agronomically-important gene families. Completing the Triangle of U comparative genomics platform allowed us to examine the dynamics of polyploid evolution and the role of subgenome dominance in domestication and agronomical improvement.
Re-FeMAT: A Reconfigurable Multifunctional FeFET-Based Memory Architecture

Most of current processing-in-memory (PIM) architectures are application specific, that is, they can only accelerate particular functions, e.g., matrix-vector dot product for neural network acceleration. However, practical applications usually involve various functions. In order to accelerate different functions, various accelerators, and dedicated circuits have been proposed. In this work, by exploring the similarities among some commonly used dedicated circuits, we adopt ferroelectric field-effect transistors (FeFETs) to build a reconfigurable multifunctional memory architecture named Re-FeMAT. Re-FeMAT is composed of multiple processing elements (PEs). Each PE is not only a nonvolatile memory array, but also can perform logic operations (i.e., the PIM mode), convolutions (i.e., the binary convolutional neural network and the convolutional neural network (CNN) acceleration mode) and content search (i.e., the ternary content-addressable memory (TCAM) mode) without changing the circuit structure. Re-FeMAT can support applications that require multiple functions. As an example, by configuring different PEs to different working modes and using a simulated annealing algorithm or a tabu search algorithm to optimize the task-PE assignment, Re-FeMAT can completely accelerate few-shot learning applications. Our simulation results based on a calibrated FeFET model show that the proposed Re-FeMAT architecture achieves better performance and power efficiency than the previous FeMAT architecture. Compared with FeFET-based single-functional circuits, though the power dissipation of Re-FeMAT is higher in some modes, the power-delay product is still smaller. Compared with a state-of-the-art FeFET-based multifunctional accelerator named attention-in-memory, Re-FeMAT achieves lower power, latency, and energy when accelerating a complete few-shot learning task.
Reduction of Deuterium Level Supports Resistance of Neurons to Glucose Deprivation and Hypoxia: Study in Cultures of Neurons and on Animals

The effect of a reduced deuterium (D) content in the incubation medium on the survival of cultured neurons in vitro and under glucose deprivation was studied. In addition, we studied the effect of a decrease in the deuterium content in the rat brain on oxidative processes in the nervous tissue, its antioxidant protection, and training of rats in the T-shaped maze test under hypoxic conditions. For experiments with cultures of neurons, 7–8-day cultures of cerebellar neurons were used. Determination of the rate of neuronal death in cultures was carried out using propidium iodide. Acute hypoxia with hypercapnia was simulated in rats by placing them in sealed vessels with a capacity of 1 L. The effect on oxidative processes in brain tissues was assessed by changes in the level of free radical oxidation and malondialdehyde. The effect on the antioxidant system of the brain was assessed by the activity of catalase. The study in the T-maze was carried out in accordance with the generally accepted methodology, the skill of alternating right-sided and left-sided loops on positive reinforcement was developed. This work has shown that a decrease in the deuterium content in the incubation medium to a level of −357‰ has a neuroprotective effect, increasing the survival rate of cultured neurons under glucose deprivation. When exposed to hypoxia, a preliminary decrease in the deuterium content in the rat brain to −261‰ prevents the development of oxidative stress in their nervous tissue and preserves the learning ability of animals in the T-shaped maze test at the level of the control group. A similar protective effect during the modification of the 2H/1H internal environment of the body by the consumption of DDW can potentially be used for the prevention of pathological conditions associated with the development of oxidative stress with damage to the central nervous system.
CyberSecurity: Expanded Look at the APT Life Cycle and Mitigation

Cybersecurity attacks will continue to increase in both frequency and sophistication over time – mostly due to the blasé attitudes within the industry about what should be done. While APT tactics, techniques and procedures (TTPs) continue to be refined on a global scale, the targeted organizations either bury their heads in the sand pretending that there is nothing that can be done, or throw their arms up into the air with frustration and despair.
The Molecular Subtype of Adult Acute Lymphoblastic Leukemia Samples Determines the Engraftment Site and Proliferation Kinetics in Patient-Derived Xenograft Models

In acute lymphoblastic leukemia (ALL), conventional cell lines do not recapitulate the clonal diversity and microenvironment. Orthotopic patient-derived xenograft models (PDX) overcome these limitations and mimic the clinical situation, but molecular stability and engraftment patterns have not yet been thoroughly assessed. We herein describe and characterize the PDX generation in NSG mice. In vivo tumor cell proliferation, engraftment and location were monitored by flow cytometry and bioluminescence imaging. Leukemic cells were retransplanted for up to four passages, and comparative analyses of engraftment pattern, cellular morphology and genomic hotspot mutations were conducted. Ninety-four percent of all samples were successfully engrafted, and the xenograft velocity was dependent on the molecular subtype, outcome of the patient and transplantation passage. While BCR::ABL1 blasts were located in the spleen, KMT2A-positive cases had higher frequencies in the bone marrow. Molecular changes appeared in most model systems, with low allele frequency variants lost during primary engraftment. After the initial xenografting, however, the PDX models demonstrated high molecular stability. This protocol for reliable ALL engraftment demonstrates variability in the location and molecular signatures during serial transplantation. Thorough characterization of experimentally used PDX systems is indispensable for the correct analysis and valid data interpretation of preclinical PDX studies.
Optimized Query Algorithms for Top- K Group Skyline

Skyline query is a typical multiobjective query and optimization problem, which aims to find out the information that all users may be interested in a multidimensional data set. Multiobjective optimization has been applied in many scientific fields, including engineering, economy, and logistics. It is necessary to make the optimal decision when two or more conflicting objectives are weighed. For example, maximize the service area without changing the number of express points, and in the existing business district distribution, find out the area or target point set whose target attribute is most in line with the user’s interest. Group Skyline is a further extension of the traditional definition of Skyline. It considers not only a single point but a group of points composed of multiple points. These point groups should not be dominated by other point groups. For example, in the previous example of business district selection, a single target point in line with the user’s interest is not the focus of the research, but the overall optimality of all points in the whole target area is the final result that the user wants. This paper focuses on how to efficiently solve top- k group Skyline query problem. Firstly, based on the characteristics that the low levels of Skyline dominate the high level points, a group Skyline ranking strategy and the corresponding SLGS algorithm on Skyline layer are proposed according to the number of Skyline layer and vertices in the layer. Secondly, a group Skyline ranking strategy based on vertex coverage is proposed, and corresponding VCGS algorithm and optimized algorithm VCGS+ are proposed. Finally, experiments verify the effectiveness of this method from two aspects: query response time and the quality of returned results.
Analysing the Obstacles in Agile Software Development Approach: A Review

The development of reusable and extensible software for business purposes has been the hallmark of the day. More developers are taking advantage of numerous approaches towards reaching their goals. One such approach is the agile approach in the development of extensible applications which has become so popular since its introduction over a decade ago. Using an agile approach that has a defined value in developing applications portray numerous benefits which have been identified by various scholars pointing out their outcomes as motivating factors of its adoption. With all such outline benefits, there exist some potential obstacles to agile developmental approach which has not been fully addressed. Hence, this article is aimed at analysing the obstacles which software developers face during agile development through a database search and also to guide them on ways to overcome such obstacles.