Miracle-dz/UniFAR-FTUs huggingface dataset:
The Value of Extracellular Cold-Inducible RNA-Binding Protein (eCIRP) in Predicting the Severity and Prognosis of Patients After Cardiac Arrest: A Preliminary Observational Study

ABSTRACT Background: Extracellular cold-inducible RNA-binding protein (eCIRP) acting as a novel damage-associated molecular pattern molecule promotes systemic inflammatory responses, including neuroinflammation in cerebral ischemia. We aimed to observe the changes of serum eCIRP and evaluate whether the increased serum eCIRP was associated with the severity and prognosis in patients with restoration of spontaneous circulation (ROSC). Methods: A total of 73 patients after ROSC were divided into non-survivor (n = 48) and survivor (n = 25) groups based on 28-day survival. Healthy volunteers (n = 25) were enrolled as controls. Serum eCIRP, procalcitonin (PCT), the pro-inflammatory mediators tumor necrosis factor (TNF)-α, interleukin-6 (IL)-6 and high mobility group protein (HMGB1), the neurological damage biomarkers neuron-specific enolase (NSE), and soluble protein 100β (S100β) were measured on days 1, 3, and 7 after ROSC. Clinical data and laboratory findings were collected, and the Sequential Organ Failure Assessment (SOFA) score and Acute Physiology and Chronic Health Evaluation (APACHE II) were calculated concurrently. Cerebral performance category scores on day 28 after ROSC were recorded. Results: Serum eCIRP, IL-6, TNF-α, PCT, and HMGB1, NSE and S100β were significantly increased within the first week after ROSC. The increased levels of eCIRP were positively correlated with IL-6, TNF-α, lactate, NSE, S100β, CPR time, SOFA score, APACHE II score, and HMGB1 after ROSC. Serum eCIRP on days 1, 3, and 7 after ROSC could predict 28-day mortality and neurological prognosis. Serum eCIRP on day 3 after ROSC had a biggest AUC [0.862 (95% CI: 0.741–0.941)] for 28-day mortality and a biggest AUC [0.807 (95% CI: 0.630–0.981)] for neurological prognosis. Conclusions: Systemic inflammatory response with increased serum eCIRP occurred in patients after ROSC. Increased eCIRP level was positively correlated with the aggravation of systemic inflammatory response and the severity after ROSC. Serum eCIRP serves as a potential predictor for 28-day mortality and poor neurological prognosis after ROSC.
Identification of Illegal Construction using Image Processing

Every major city in the world faces the problem of illegal construction—owners building extra floors or people encroaching on reserved land. Not only does this cause problems for the people living in the house but can also cause major problems to the environment, public safety and are a huge fire hazard. As of today, most of the checking for illegal constructions happens manually through site visits and inspection. Many of these defaulters get away with their acts for decades before it is discovered that the house, they are living in is not approved/is illegally constructed. Also, it is a major loss of money for government authorities. This paper describes a method, using drones to capture aerial images and store them in a secure database. Once that is done, an algorithm is described that can comb through the millions of images that are present in the database and flag all those images that can be possible or positive illegal construction with the help of image processing using computer vision. The algorithm would flag the images which may have possible faults and present them to the supervisor who can then manually approve the flagged sites for further physical inspection or can deem them as having no faults. This paper only presents a method to reduce the time spent by the person who is manually checking each of the sites' images and automatically presents him/her only ones that have a high risk of faulting them. This will not only significantly reduce the time spent on checking but can also save the authorities lots of money and help them to tackle more such defaulters. This paper describes a method, using drones to capture aerial images and store them in a secure database. Once that is done, an algorithm is described that can comb through the millions of images that are present in the database and flag all those images that can be possible or positive illegal construction with the help of image processing using computer vision. The algorithm would flag the images which may have possible faults and present them to the supervisor who can then manually approve the flagged sites for further physical inspection or can deem them as having no faults. This paper only presents a method to reduce the time spent by the person who is manually checking each of the sites’ images and automatically presents him/her only ones that have a high risk of faulting them. This will not only significantly reduce the time spent on checking but can also save the authorities lots of money and help them to tackle more such defaulters. General Terms SSIM (Structural Similarity Index), OpenCV, Imutils, Greyscaling, Thresholding, Contours
Associação da técnica ENNS ao algoritmo LBG

Edson Mata da Silva Filho Centro de Ciências e Tecnologia Universidade Católica de Pernambuco Recife, PE, Brasil Email: edsonmata@hotmail.com Waslon Terllizzie Araújo Lopes Departamento de Engenharia Elétrica Universidade Federal de Campina Grande Campina Grande, PB, Brasil Email: waslon@ieee.org Francisco Madeiro Centro de Ciências e Tecnologia Universidade Católica de Pernambuco Recife, PE, Brasil Email: madeiro@dei.unicap. br
Classificação do Modo de Transporte e Propósito de Viagem Baseada em Dados Socioeconômicos

Socioeconomic characteristics, such as income and age, can influence the mobility patterns observed in the residents of a city, which in turn can be restricted by the options and quality of the modes of transportation available. Given this, one of the main tasks during the characterization of mobility data is the identification of the travel modes most frequently used during the movement of citizens, as well as the purposes of their trips. This work proposes a technique for identifying the modes of transportation used in a trip as well as its purpose, based only on socioeconomic variables. The proposed method is evaluated through cross-validation experiments using a public dataset from New York City. By comparing the confusion matrices obtained with different supervised learning algorithms, it is possible to conclude that the proposed method presents a performance similar to the other techniques in the classification of the purpose of the trip, with an overall accuracy of 67%, and higher for the classification of the travel mode, with an overall accuracy of 82%. Resumo. Caracterı́sticas socioeconômicas, como renda e idade, podem influenciar os padrões de mobilidade observados nos residentes de uma cidade que por sua vez podem ser restringidos pelas opções e qualidade dos meios de transporte disponibilizados. Dado isso, uma das principais tarefas durante a caracterização de dados de mobilidade é a identificação dos meios de transporte utilizados mais frequentemente durante o deslocamento dos cidadãos, assim como dos propósitos de suas viagens. Este trabalho, propõe uma técnica para identificação dos meios de transporte utilizados em uma viagem assim como o seu propósito, baseando-se somente em variáveis socioeconômicas. O método proposto é avaliado através de experimentos de validação cruzada utilizando uma base de dados pública da cidade de Nova Iorque. Através da comparação das matrizes de confusão da obtidas com diferentes algoritmos de aprendizado supervisionado é possı́vel concluir que o método proposto apresenta um desempenho similar as demais técnicas na classificação do propósito da viagem, com acurácia de 67%, e superior para a classificação do modo de transporte, com acurácia de 82%.
Experimental approach for the study of SOFC cathodes

Experimental approach for the study of SOFC cathodes M.P. Carpanese, A. Giuliano, M. Panizza, E. Mercadelli, A. Sanson, A. Gondolini, A. Bertei, A. Barbucci,* Department of Civil, Chemical and Environmental Engineering, University of Genova, P. le J. F. Kennedy 1, 16129 Genova, Italy 2 Institute for Energetics and Interphases, CNR, Via De Marini 6, 16149 Genova, Italy Institute of Science and Technology for Ceramics, CNR, Via Granarolo 64, 48018 Faenza, Italy Department of Civil and Industrial Engineering, University of Pisa, Largo L. Lazzarino 2, 56126 Pisa, Italy
Charging management of plug‐in electric vehicles in San Francisco applying Monte Carlo Markov chain and stochastic model predictive control and considering renewables and drag force

: The charging management of plug-in electric vehicles (PEVs) in San Francisco considering the effect of drag force on the vehicles, the real driving routes of vehicles, the social aspects of drivers' behaviour, the type of PEVs and the PEV penetration level is presented in this study. In this study, the drivers' responsiveness probability, to provide vehicle-to-grid service at the parking lot, is modelled with respect to the value of the incentive, drivers' social class and the real driving routes in San Francisco. Herein, the Monte Carlo Markov Chain is applied to estimate the hourly probability distribution function of the state of charge (SOC) of the PEV fleet in the day. The main data set applied in this study includes the real longitude and latitude of driving routes of vehicles in San Francisco, recorded in every four-minute interval of the day. In this study, a stochastic model predictive control is applied in the optimisation problem to address the variability and uncertainty issues of PEVs' SOC and renewables' power. Herein, quantum-inspired simulated annealing algorithm is applied as the optimisation technique. It is demonstrated that the type of PEVs, the PEV penetration level and even the social class of drivers can affect the problem results.
(A falta de) Poder de definição de agenda do parlamento sobre a agenda de decisões executivas: evidências da Bélgica, França e Portugal

Abstract One of the functions of parliamentary questions in modern legislatures is to pressure executives to pay attention to specific issues. But can these questions effectively influence executive decisions? There is surprisingly little empirical research in this area. Adopting an agenda-setting perspective, this article examines the extent to which issue attention in oral parliamentary questions influences the issues addressed in the weekly meetings of the Council of Ministers in three countries (Belgium, France and Portugal). Our findings suggest that the agenda-setting power of parliaments vis-à-vis the executive is usually weak in the contexts studied here. In Belgium, we find evidence that the executive does pick up on issues debated in parliament but that the media seems to play a crucial role in focusing attention. These conclusions testify to the dominance of the executive power in many Western democracies. The findings also demonstrate that agenda-setting patterns are more complex than single-country studies often suggest, and that comparative research is the way forward.
Solving Bid-Based Dynamic Economic Dispatch in Competitive Electricity Market Using Improved Simulated Annealing Algorithm

Electricity markets are open after the deregulation of power systems due to competition. An optimization problem based on dynamic economic dispatch has recently come up in the new context of deregulated power systems known as bid-based dynamic economic dispatch (BBDED). It is one of the major operations and control functions in the electricity markets used to determine the optimal operations of market participants with scheduled load demands during a specified period. BBDED involves power generation companies (GENCOs) and customers to submit energy and price bids to the independent system operator (ISO) in a day-ahead market. The ISO clears the market with the objective of social profit maximization. In this paper, a BBDED problem is solved using an improved simulated annealing algorithm (ISA), including system constraints with different periods under bidding strategies. The proposed ISA technique is implemented in MATLAB and applied on a 3-unit system, a 6-unit system, and a 40-unit large-scale system. The proposed ISA is evaluated by comparison with relevant methods available in the literature, to demonstrate and confirm its potential in terms of convergence, robustness, and effectiveness for solving the BBDED problem.
The Simple Charge-Controlled Grounded/Floating Mem-Element Emulator

In this brief, a simple charge-controlled emulator for achieving three types of memory element is proposed, and each type can be further divided into the grounded and floating forms. All the mathematical models are represented by the first-order polynomial function. The memristor (MR), memcapacitor (MC), and meminductor (ML) can be obtained via the connection combination of three switches (<inline-formula> <tex-math notation="LaTeX">$\text{S}_{1} \sim {\mathrm{ S}}_{3}$ </tex-math></inline-formula>) and preserved positions (<inline-formula> <tex-math notation="LaTeX">$\text{P}_{1}\sim {\mathrm{ P}}_{3}$ </tex-math></inline-formula>). So far, this is the simplest emulator with the widest bandwidth and the highest operating frequency. Especially, the frequency of floating ML emulator exceeds 1.5MHz. The proposed emulator can be configured by several off-the-shelf components and utilized to design the high density, high speed, low power, non-volatility, and good scalability integrated circuits, which hopefully makes the cornerstones to build the new generation of intelligent and neuromorphic computers.
Estudo da Viabilidade da Compressão de Dados em Rádios Definidos por Software

Software-defined radios — or SDR — bring a series of benefits such as fast prototyping of new wireless communication techniques. One of the open questions in using these devices is how to facilitate the transfer, processing, and storage of samples provided by an SDR. This paper aims to study the feasibility of implementing a lossless data compression algorithm in the internal FPGA (Field Programmable Gate Array)commonly found on SDR in order to increase the sample throughput between the radio and the host processor, as well as reducing the storage space. The results show that it is possible to obtain an average compression ratio of 1.55 times, considering the limited capacity of existing SDR to compute such algorithms. Resumo. Os Rádios Definidos por Software — ou SDR — trazem uma série de benefı́cios como a rápida prototipagem de novas técnicas de comunicação sem fio. Uma das questões em aberto na utilização destes equipamentos é como possibilitar a transferência, processamento e armazenamento das amostras fornecidas por um SDR. O objetivo deste trabalho é estudar a viabilidade de implementar um algoritmo de compressão de dados sem perdas na FPGA (Field Programmable Gate Array) comumente encontrada nas SDR com o objetivo de aumentar a taxa de transmissão de envio das amostras entre o rádio e o processador do hospedeiro, assim como reduzir o espaço de armazenamento. Os resultados mostram que é possı́vel obter uma taxa de compressão de 1,55 vezes considerando a capacidade limitada de SDR existentes para computar tais algoritmos.
EFFECT OF USE DIFFERENT PELLET LENGTHS ON PERFORMANCE OF BROILER CHICKEN

The objective of this study was to evaluate the effect of Different pellet lengths on digestive tract development and performance of broilers. In this experiment 300 day old broiler chicks (Ross-308) were used in a completely randomized design for 42 days in two periods include grower (10-21d) and finisher (22-42 d) with 4 treatments in 3 replicates and 25 chicks in each replicate. The length levels of inclusion pellet was based on T1= 3mm (control group), T2 = 4mm, T3 = 5mm, and T4 = 6mm. while pellet diameter was same to all treatments =4.5mm. From 0 to 9 d of age, all birds were offered a common starter diet pelleted with a 3-mm diameter die and 3-mm length. According to the results, mortality during the performance experiment was negligible. During the grower period (10 to 21 d), weight gain was influenced (P < 0.05) by pellet length, with gain of birds fed pellets of 6-mm length being greater than that fed 3-mm length pellets (control group). Neither effects of pellet length were insignificant (P > 0.05) for feed intake. Feeding longer pellets decreased (P < 0.05) feed per gain compared to control brids. And there was no effect of pellet diameter for feed per gain . During the finisher (22 to 42 d) and whole trial (10 to 42 d) periods, effects of pellet length were insignificant (P > 0.05) for weight gain and feed intake. A significant (P < 0.05, finisher period; P < 0.05, whole trial period) pellet length effect was observed for feed per gain with increasing pellet length from 3to 6-mm. There were significant effects of pellet length (P < 0.05) for relative length of duodenum. Increasing pellet length reduced the relative length of duodenum. Neither effects were insignificant (P > 0.05) for relative length of jejunum, ileum and small intestine. While the effect of pellet length for the relative length of caeca (P < 0.05) was observed. Sothat increasing pellet length reduced the relative length of caeca. And effect of pellet length was observed for relative weight of proventriculus (P < 0.05), with birds fed 3-mm length pellets having heavier proventriculus compared to those fed 4,5,6-mm length pellets. And effects were insignificant (P > 0.05) for relative weight of gizzard, small intestine and
Unravelling Climate and Anthropogenic Forcings on the Evolution of Surface Water Resources in Southern France

In the Mediterranean, climate change and human pressures are expected to significantly impact the availability of surface water resources. In order to quantify these impacts during the last 60 years (1959–2018), we examined the hydro-climatic and land use change evolution in six coastal river basins of the Gulf of Lion in southern France. By combining observed water discharge, gridded climate, mapped land use and agricultural censuses data, we propose a statistical regression model which successfully reproduces the variability of annual water discharge in all basins. Our results clearly demonstrate that, despite important anthropogenic water withdrawals for irrigation, climate change is the major driver for the detected reduction of water discharge. The model can explain 78–88% of the variability of annual water discharge in the study catchments. It requires only two climatic indices that are solely computed from monthly temperature (T) and precipitation (P) data, thus allowing the estimation of the respective contributions of both parameters in the detected changes. According to our results, the study region experienced on average a warming trend of 1.6 °C during the last 60 years which alone was responsible for a reduction of almost 25% of surface water resources.
Parasitic Anisakid Nematode Isolated from Stranded Fraser’s Dolphin (Lagenodelphis hosei Fraser, 1956) from Central Philippine Waters

Cetaceans, including dolphins, serve as definitive hosts of zoonotic anisakid nematodes, which are important etiological agents for human anisakiasis and allergy-associated health risks. With limited knowledge of these zoonotic parasites from the marine environment in the Philippine waters, the stranding of a Fraser’s dolphin (Lagenodelphis hosei Fraser, 1956) off the central Philippines made it possible to identify the worm species isolated from its gut. Parasitological examinations were carried out using morphological and molecular tools. Morphologically, the SEM and LM data revealed that the specimens belong to the genus Anisakis of the Type 1 group. Molecularly, PCR-RFLP results of the ITS region generated only a single fragment pattern on all worm samples corresponding to the reported molecular keys for A. typica. Further sequence and phylogenetic analyses of both ITS rDNA and mtDNA COX2 genes confirmed the anisakid nematodes’ identity as A. typica. The molecular data obtained in this study support previous findings on the possible existence of local variants of A. typica in this region.
Pseudopolymorphs – a variety of self-organization of para-sulphonato-calix[8]arene and phenanthroline in the solid state

The paper presents results concerning construction of inclusion complexes of para-sulphonato-calix[8]arene with 1,10-phenanthroline. Structures of crystalline host–guest complexes were determined by means of X-ray diffraction. Intermolecular interactions were analyzed and the organization of ions and molecules in the crystal lattice was described.
OVERALL WATER LOSSES DURING SPRINKLER IRRIGATION IN ARID AREA:CASE OF TOUGGOURT - ALGERIA

Received : 20 / 10 / 2020 Final Revision : 6 / 11 /2020 Abstract: In recent years, the development of agriculture in Algeria Southeast grew rapidly, which increased demand for agricultural products. Since this region has difficult agro-climatic conditions, irrigation seems to be a necessary factor to ensure optimal development and higher agricultural production. Like many irrigation techniques that are widely used, the performance of sprinkler irrigation is significantly affected by these conditions (mainly evaporation) which cause colossal water losses. The purpose of this study is to evaluate, through the experimental approach, the global losses of water caused by evaporation and wind drift on two irrigated surfaces in the arid zone of Touggourt. Here we propose adequate predictive equations and explore the effect of irrigated area on overall water loss values. These are measured on two blocks (A and B) the rain gauge method. Block A contains four lateral lines while Block B has only two. For both, each lateral line has four sprinklers. The results showed that the overall water losses of block A are about 24.13 to 50.46%, while those of Block B range from 29.52 to 49.5 %. Two obtained models are adopted for both blocks which can be useful tools for determining overall water losses in environmental conditions (air temperature, relative humidity and wind speed). Noting that when the irrigated area was larger, the water losses will be lass.
INFORMATION SYSTEM'S CAPABILITY AND INFLUENCE IN THE MODERN TECHNOLOGY DRIVEN ORGANIZATION USING BUSINESS PROCESS AS AN INTERMEDIARY FACTOR IN THE CONTEMPORARY TECHNOLOGY ORIENTED ORGANIZATION

Information System (IS) has become very crucial in running an organization in a successful way. Companies are investing millions in IS in order to stay competitive and earn profits. There are so many studies which has dwelled on the importance of IS and its impact on the organizational performance. While most of the studies have taken the overall organizational performance as the dependent variable and System Quality, Service quality, Information Quality and user satisfaction as the independent variable. After a reviewing numerous studies we have found that Business performance sbe included between the independent variable and dependent variable as this acts as bridge between these two and also influence the success of the IS.