Miracle-dz/UniFAR-FTUs huggingface dataset:
An overview of fish visceral waste pollution and its eco-friendly management practices

The fisheries division occupies a very important place in the socio-economic expansion of our country. It has been documented as a dominant profits and service generator as it stimulates enlargement of a number of subsidiary industries and is also a source of low-priced and healthy food besides being a foreign trade earner. However, there is an increase in fish production as a consequence of a rise in demand for fishery products. This means that the volumes of fish processing by-products and fish wastes have also increased. These fishery wastes are highly perishable, owing chiefly to the action of microorganisms that find the wastes to be an excellent growth medium. The discarding of fish waste creates environmental problems as well as disposal problems. Therefore, there is a necessity to find ecologically acceptable means for reutilization of these wastes. Various scientific research have been found that a large quantity of bioactive substances can be extracted and purified from fish waste such as bioactive peptides, oligosaccharides, fatty acids, enzymes, water-soluble minerals and biopolymers. Now fish waste fertilizer is new trend to boost the crop yield.
Simulation of the Interplanetary Bz Using a Data-driven Heliospheric Solar Wind Model

Aimed to be ready for the transition from research to operation, we have developed a solar wind model by coupling a data-driven empirical coronal model with a magnetohydrodynamics heliospheric model. We performed a data-driven simulation of the solar wind for a two-year period during the declining and minimum phases of solar cycle 23. Comparisons with OMNI and Ulysses spacecraft data show that the model can reproduce the large-scale variations of the solar wind plasma parameters. The evolution of geocentric solar magnetospheric (GSM) Bx and Bz components are also reasonably duplicated by the model in terms of polarity and strength. Apparent signatures of the Russell–McPherron (R-M) effect are found from both observed data and simulated results, indicating that during the investigated interval the R-M effect is the dominant mechanism that controls the large-scale evolution of the north–south component of the interplanetary magnetic field in the GSM frame. The results demonstrate that the established model can provide valuable space weather information about the solar wind.
Política de gasto real constante: Efectos macroeconómicos de la composición del presupuesto y el superávit primario

En este articulo se analiza la politica fiscal de gasto real constante adoptada recientemente por las autoridades fiscales del Brasil. Tambien se compara la politica de mantener un superavit primario como proporcion del producto interno bruto con la de modificar la composicion del gasto en favor de la inversion, a fin de determinar cual de las dos politicas es mas eficiente para promover el crecimiento economico. Se investigan los efectos de estas politicas en el consumo, la inversion, la oferta de mano de obra y la produccion a largo y corto plazo, y la reaccion de la estructura temporal de los tipos de interes. Tambien se analiza la relacion entre estas politicas fiscales y el bienestar. Se utiliza un modelo de agente representativo de maximizacion de la utilidad intertemporal sujeto a restricciones presupuestarias, con una prevision perfecta y un horizonte infinito.
Immune checkpoint inhibitors and irAEs

COPyRIGHT Copyright © 2018 by author(s) and EnPress Publisher LLC. This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). http://creativecommons.org/licenses/ by/4.0/ In the development of medicine, there are not many cases that advanced in a direction different from the original purpose. Sometimes it is practical in areas that no one expected. The immune checkpoints programmed cell death 1 (PD-1) is exactly that example. Dr. Hiroyuki Nishimura showed the development of lupus-like autoimmune diseases by disruption of the PD-1 gene encoding an ITIM motif-carrying immunoreceptor. Because of the wide range of ligand distribution in the body, its biological significance pervades almost every aspect of immune responses including autoimmunity, tumor immunity, infectious immunity, transplantation immunity, allergy and immunological privilege. Immune checkpoints inhibitors (ICIs) have opened promising avenues in the treatment of cancer. Various blocking antibodies targeting PD-1 and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) are approved for human use. They significantly improved disease outcome in a number of cancer patients by boosting anti-tumor immune responses. As Seidel et al. described in their review article, mortality among advanced stage patients and the frequency of treatment-related adverse events remain high with current treatment.
Monitoring the Spatio-temporal Evolution of a Reconnection X-line in Space

Inherently, magnetic reconnection—the process responsible for stellar flares and magnetospheric substorms—is very dynamic in space, owing to magnetic fluctuations and unsteady inflows. However, this process was always explained as a static picture in spacecraft measurements, neglecting the temporal evolution. This picture is not correct. Here we provide the first dynamic picture of magnetic reconnection in space, by monitoring the spatio-temporal evolution of a reconnection X-line at the magnetopause. Surprisingly, we find that the angle of a reconnection X-line can change from 44. °8 to 24. °9 during tens of milliseconds, which is significantly smaller than the characteristic timescale of the reconnection process (t = di/VA ∼ 410 ms). Meanwhile, the spacecraft moves from the inflow region to the outflow region (spatial evolution). This result demonstrates that the magnetic reconnection in space can develop rapidly during tens of milliseconds, and thus that the concept of dynamic reconnection should be invoked instead of a static diagram.
Gerenciamento de Frequência Escolar Usando Visão Computacional e Redes Neurais Convolucionais

Monitoring students in the classroom plays a key role in the academicfollow-up. In addition to attendance control, it also allowsstudying the impact of absences on learning. In this context, thispaper presents the development of a school attendance managementsystem using computer vision techniques and convolutionalneural networks. A camera captures images from the classroom.The system then detects the faces of the people in the image, andrecognizes students using pre-trained convolutional neural networkmodels. The frequency data generated is stored in the systemdatabase and accessed through a web page. In addition, a mobileapp has been developed to notify student attendance. The initialresults show that the system identifies the registered students andnotifies the mobile device of responsible.
Review on Removing color & dehazing using Underwater Image enhancement.

Typical underwater images exhibit poor visibility because of light scattering and absorption in turbid water. To resolve the illposed problem, a novel underwater image enhancement method based on Removing Light Source Color and Dehazing (RLSCD) is proposed. Scene depth, which his assumed strongly correlated with attenuations, is often ignored in most of the previous methods. A new scene depth estimation, which takes the attenuations of the different light conditions into account, is first presented. Additionally, the background light is estimated based on gray open operation and scene depth to avoid that the pixels in the white objects and artificial lighting regions may be wrongly estimated as the background light. With the estimated background light and transmission map, the dehazed image is achievable. Moreover, the theoretical analysis of the Lambertian Model indicates that the disturbance of the light source color in dehazed image can be estimated, this phenomenon enables us to correct color distortion and light overcompensation by removing the disturbance. Experimental results demonstrate the RLSCD method outperforms state-of-the art methods in terms of relatively genuine color, increased contrast, and brightness. Keywords/ Index Term — Light source color, Lambertian model, underwater image enhancement, gray open.
Fotoinhibición: Respuesta fisiológica de los vegetales al estrés por exceso de luz

La luz es esencial para el crecimiento y desarrollo de las plantas, pero en alta intensidad, puede hacerse nociva. La fotoinhibicion, definida como la inhibicion de la fotosintesis causada por el exceso de radiacion, afecta la produccion en condiciones de campo, en gran medida. La exposicion adicional a factores de estres durante la exposicion a la radiacion alta, aumenta el potencial del efecto fotoinhibitorio, de este modo, la inhibicion de fotosintesis indica que la planta esta sometidaa condiciones estresantes. La fotoinhibicion puede ser reversible, jugando un papel de proteccion de los fotosistemas, pero tambien puede reflejar un dano que ya ha sucedido en el aparato fotosintetico, caso en el cual, es irreversible. En esta revision, se presentan algunos mecanismos fisiologicos y moleculares de la fotoinhibicion y la interaccion entre la luz y otros factores causantes de estres y se discuten sus efectos en las plantas.
Fitness Testing Parameters for Alpine Ski Racing

Alpine ski racing requires high levels of isometric, eccentric, and concentric muscle actions through wide ranges of hip, knee, and ankle mobility. The course duration of ;40 seconds for slalom racing to upward of 2.5 minutes for downhill racing necessitates high levels of anaerobic endurance, aerobic power, and force production to be successful. In addition, due to the highly technical skill aspect of ski racing, neuromuscular coordination is of utmost importance. This review identifies the most effective performance testing methods for alpine ski racing, as well as highlighting their relevance to the physiological parameters of the sport.
Multivariate Analysis of Genetic Divergent of Ethiopian Mustard ( Brasica carinata A. Braun) Landraces in Relation to Leafy Vegetative Agro morphological Traits

The experiment was carried out to assess the extent and patterns of genetic variability of Ethiopian mustard land races in relation to topped plant seed yield and its related leafy vegetative traits at Holetta Agricultural research Center, Ethiopia. Information on the leaves of morphological traits of Ethiopian mustards as a leaf vegetable crop is lacking specifically that of time of defoliation to get dual purpose of the crop (leaf and seed). Therefore forty nine genotypes of Ethiopian mustard land races collected from different agro ecologies were evaluated for agro morphological traits in order to assess the genetic diversity that exists among these materials. The experiment was carried out in a simple lattice design. Univariate analysis of variance showed that there were significant differences among genotypes for leaf length, Length of Petiole, leaf width and leaf area traits but seed yield per plant leaf topped at 40, 50th and 60 growth stages of days of topping, leaf weight per plant topped to these similar days of topping and number of intact leaves at flowering showed non-significant differences. The significant difference indicates the existence of genetic variability among the accessions which is important for improvement of these traits. Average weight of 2.7g of seed yield per plant of defoliated could be attained by utilization of leaves in the 50 th day of growth stage of topping. Multivariate analyses resulted in the formation of four clusters and have shown the presence of substantial genetic diversity among the genotypes. The present study revealed the presence of considerable variability among genotypes for leaf length, Length of Petiole, leaf width and leaf area traits except seed yield per plant, leaf biomass per plant topped at 40 , 50 and 60 growth stage days of topping and number of intact leaves at flowering. The significant difference of results indicates that the presence of good opportunity to improve these characters using the tested genotypes.
A high monocyte-to-lymphocyte ratio predicts poor prognosis in patients with radical cystectomy for bladder cancer

Background At present, it is well known that many hemogram parameters were related to the prognosis of a variety of cancers. Among them, monocyte-to-lymphocyte ratio (MLR), neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) have attracted more and more attention. The purpose of this study was to investigate the prognostic value of MLR, NLR, PLR, especially MLR, in patients with bladder cancer (BC) treated with radical cystectomy (RC). Methods Between January 2009 and October 2018, 203 BC patients who underwent RC participated in the survey, and various clinical and hematological parameters were recorded. The optimal cutoff of MLR, NLR and PLR were determined by X-tile software, and Cox regression analysis was performed to investigated the effect of MLR, NLR and PLR on the overall survival (OS) and disease-free survival (DFS). Results The optimal cutoff values of MLR, NLR and PLR were 0.54, 4.10 and 164.63, respectively. Patients with high MLR (>0.54) predicted shorter OS [hazard ratio (HR): 2.30; 95% confidence interval (CI): 1.36–3.89; P=0.002] and DFS (HR: 2.13; 95% CI: 1.21–3.75; P=0.009) compared with patients with low MLR (≤0.54). Multivariate Cox regression analysis showed that only MLR was an independent risk factor for OS and DFS in MLR, NLR and PLR. In addition, receiver operating characteristic (ROC) analysis showed that at most time points, the area under the curve (AUC) of MLR was greater than that of NLR and PLR used to predict OS and DFS. Conclusions Our results show that MLR can be independently used as a poor prognostic factor for OS and DFS in BC patients with RC. The prognosis of BC patients after RC can be predicted by measuring the level of MLR.
Isolation of γ-Aminobutyric Acid Producing Lactobacillus brevis T118 from Sun-Tae Jeotgal and Its Glutamate Decarboxylase Gene Cloning

A γ-aminobutyric acid (GABA) producing microorganism was isolated from Sun-Tae Jeotgal, a Korean traditional fermented seafood. Two thousand presumptive lactic acid bacteria (LAB) isolates were screened for GABA production by thin layer chromatography. One isolate, T118, produced GABA profusely, and identified as Lactobacillus brevis. Growth of Lb. brevis T118 was examined during 120 h cultivation in MRS broth under different conditions. Lb. brevis T118 grew well at 30-37℃, initial pH of 4-7, and up to 5% NaCl (w/v). A gene, gadB, encoding glutamate decarboxylase (GAD) was cloned by PCR. gadC encoding a glutamate/GABA antiporter was cloned and gadC located immediately upstream of gadB, indicating gadCB operon structure. The operon structure was confirmed by reverse transcription (RT)-PCR. gadB was overexpressed in Escherichia coli BL21 (DE3) and recombinant GAD was purified. The size of recombinant GAD was 54.4 kDa by SDS-PAGE, which matched well with the calculated size from the nucleotide sequence.
Insights Into Diet and Foraging Behavior of Imperial Shags (Phalacrocorax atriceps) Breeding At Staten and Becasses Islands, Tierra Del Fuego, Argentina

ABSTRACT Diet and behavior are essential aspects of ecological studies, and are even more informative if both aspects are studied together. We collected samples of feathers (n = 10 of unknown sex at Becasses Island in 2013) and of both feathers and blood at Staten Island (n = 5 males and n = 5 females in 2011 and in 2013) from Imperial shags (Phalacrocorax atriceps). In addition, GPS devices were deployed on two individuals at each location that allowed us to record one or two foraging trips each. Stable isotope composition of carbon and nitrogen in blood differed amongst years and between sexes, albeit marginally within each year at Staten Island. Feather stable isotopes of carbon and nitrogen did not differ amongst sexes or years at Staten Island and between Staten and Becasses islands to show individuals did not have significantly different diets amongst locations during pre-molt. Foraging behavior parameters did not differ between individuals as they all searched in shallow waters and close to shore. Individuals flew to their feeding grounds and searched intensively at the furthest point reached by diving interspersed with floating on the surface. These results show individuals feed on similar prey, at least during pre-molt, and would seem to behave in a similar way at both locations while breeding, though sample size is too small to generalize on their behavior. The differences in isotopic compositions amongst years for Staten Island could be showing the fluctuations that occur among seasons in the isotopic signatures of prey, and in consequence, in seabirds over time.
Reactive drone pursuit and obstacle avoidance based in parallel navigation

A simple and reactive algorithm for drone pursuit and collision avoidance for non-cooperative agents, not requiring global path planning is proposed in this paper. The pursuit algorithm is based on the geometrical rule PN- Parallel Navigation, using the same principle to track the target and for evading obstacles. Besides, our strategy does not require separate modes for pursuit and collision avoidance, as common in numerous works. The algorithm is validated numerically when tracking a mobile target in a confined environment in the presence of dynamic objects. Results show the good performance of the algorithm and confirm that the collision route property can be used to avoid reactively un-predicted and dynamic objects.
The impact of malnutrition on host-microbe interactions in the intestine

ii Preface . iv Table of Contents . viii List of Tables . xiii List of Figures . xiv List of Symbols . xviii List of Abbreviations . xix Acknowledgements . xxiii Dedication . xxviii Chapter 1: Introduction . 1 1.1 The global burden of malnutrition and enteric disease . 1 1.1.1 The vicious cycle of early-life malnutrition and enteric disease . 1 1.1.2 Environmental enteropathy . 6 1.2 Interactions between the microbiome, immunity and metabolism in the intestine . 13 1.2.1 Diet-induced microbiota shifts shape immunity and metabolism in the intestine 13 1.2.2 The role mucosal immune system in maintaining intestinal homeostasis . 19 1.3 Conclusion . 26 Chapter 2: Characterizing the impact of malnutrition on the intestinal microbiome, metabolism and epithelial barrier function . 28 2.1 Introduction . 28 2.2 Materials and methods . 32
Therapeutic Effects of Gymnema (Gymnema sylvestre) and Sea Grape (Coccoloba uvifera L.) on Carbon Tetrachloride Induced Hepatotoxicity in Rats

This investigation aimed to study the effect of gymnema (Gymnema sylvestre) and sea grape (Coccoloba uvifera L.) on carbon tetrachloride (CcL4) induced hepatotoxicity in rats. Thirty male albino rats weighing 150±5g were divided into 6 equal groups (n=5 rats); one group kept as control negative, while the other 5 groups injected s/c by CcL4 in parrafin oil 50% V/V (2ml / kg b.wt.) twice a week for two weeks for liver intoxication incidence, one of them left as (C +ve) while the rest four groups orally administered using two doses 5 & 10% of gymnema and sea grape each. At the end of experimental period (45 days), blood samples were collected for serum separation to determine serum liver enzymes, total cholesterol, triglycerides, atherosclerosis index, lipoprotein fractions and kidney functions. The obtained results demonstrated that gymnema and sea grape at two doses 5 &10%, especially at high dose for each herb caused significant improvement in liver enzymes, lipid profiles, serum glucose and kidney functions in hepatotoxic rats. According to the results, gymnema and sea grape could improve the levels of liver enzymes, lipid profiles, glucose and kidney functions in CcL4 induced hepatotoxicity in rats.
Trainable Kalman Filter Based on Recurrent Neural Network and its Application in Aviation Surveillance

The most commonly used algorithm for aviation surveillance is Kalman filter. The accuracy of Kalman filter is affected by the accuracy of its parameters. When the parameters may change with environment change, the accuracy of traditional linear Kalman filter will be affected, in severe cases, filtering divergence will occur. This paper proposes an aviation surveillance filtering model that treats Kalman filter as the kernel of Recurrent Neural Network, uses Back Propagation Neural Network to predict parameters of Kalman filter. Which let Kalman filter be trainable and have ability to estimate parameters dynamically. Moreover, actual radar measurement data is used for radar filtering experiment, and the experiment results show the feasibility of this model, and show that this model has better accuracy and adaptability than traditional Kalman filter.
The Correlation Analysis of Futures Pricing Mechanism in China’s Carbon Financial Market

China, taking the concept of sustainable development as the premise, puts forward Intended Nationally Determined Contributions (INDC) to reduce the greenhouse gas emissions in response to climate change. In this context, with the purpose of seeking solutions to a carbon financial market pricing mechanism to build China’s carbon finance market actively and thus achieving the goal of sustainable development, this paper, based on the autoregressive integrated moving average (ARIMA) model, established a carbon price prediction model for the carbon financial market, and studied the relationship between Certified Emission Reduction (CER) futures prices and spot prices, as well as the relationship between European Union allowances (EUA) futures prices and CER futures prices in an empirical manner. In this paper, EUA and CER futures prices of the European Climate Exchange (ECX) and EUA and CER spot prices of the BlueNext Environmental Exchange were selected as research objects. Granger causality test, co-integration test, and ECM were used to form a progressive econometric analysis framework. The results show that firstly, the ARIMA model can effectively predict carbon futures prices; secondly, CER futures prices cannot guide spot price, and the futures pricing function does not play a role in this market; thirdly, EUA futures price can, in the short term, effectively guide the trend of CER futures prices, with the futures pricing function between the two markets. In the long run, however, the future pricing function of the two markets is not obvious. Therefore, great differences among maturity of the two markets, degree of policy influence, and market share lead to the failure of long-run futures pricing functions.
Anti-Diabetic and Anti-Energy Harvesting Properties of Common Traditional Herbs, Spices and Medicinal Plants from India

Excessive caloric intake, hyperglycemia, irregular blood lipid levels and resulting oxidative stress are accepted etiologies of Diabetes mellitus (DM) and associated co-morbidities including cardiovascular disease (CVD) and obesity (OB). These diseases are fast becoming leading causes of mortality in the developed and developing world. One important strategy for managing DM is managing postprandial hyperglycemia by reducing the digestion of carbohydrates by α-glucosidases. The risk factors for CVD and obesity can further be managed by regulating postprandial increases in blood triglyceride and fatty acid levels by modulating the activity of lipase. We investigated the potential of 18 different herbs, spices and medicinal plants (HSMP) commonly used in traditional medicine to reduce the energy harvest capacity of the mammalian gut by α-glucosidases and lipases in different model systems. In addition, we also assessed their abilities to confer antioxidant protection in biological systems. Our results indicate that several HSMP had the ability to prevent the digestion of carbohydrates by inhibiting α-amylase, maltase and sucrase. These HSMP were also effective in inhibiting the activity of lipase and therefore digestion of triglycerides in the mammalian gut. Based on our results, we have identified HSMP from different traditional medicines that can be used as an alternative and complimentary strategy to manage risk factors of DM and associated co-morbidities.