Miracle-dz/UniFAR-FTUs huggingface dataset:
Xenobiotic compounds modulate cytotoxicity of Aβ amyloids and interact with neuroprotective chaperone L-PGDS

A positive association of the exposure to different classes of xenobiotics such as commonly prescribed drugs and polycyclic aromatic hydrocarbons (PAH) typically those found in air pollution-related particulate matter with Alzheimer’s disease (AD) may point to direct physical interaction of those compounds with the amyloid formation and clearance processes. In this study, for the first time, we provide evidence of such interactions for three representative compounds from prescription drugs and air pollution, e.g. anticholinergic drugs Chlorpheniramine, a common antihistamine, and Trazodone, an antidepressant as well as 9,10-PQ, a common PAH anthraquinone abundantly present in diesel exhaust and associated with AD. We demonstrate that these three compounds bind to the lipophilic compound carrier and neuroprotective amyloid beta (Aβ) chaperone lipocalin-type prostaglandin D synthase (L-PGDS) with high affinity attenuating its neuroprotective chaperone function with Chlorpheniramine exhibiting markedly stronger inhibitory effects. We also show that these compounds directly interact with Aβ(1-40) increasing the fibril’s yield with altered fibril morphology and increased the cytotoxicity of the resulting fibrils. We propose that exposure to some xenobiotics in the peripheral tissues such as gut and lungs might result in the accumulation of these compounds in the brain facilitated by the carrier function of L-PGDS. This might lead to attenuation of its neuroprotective function and direct modification of Aβ amyloid morphology and cytotoxicity. This hypothesis might provide a mechanistic link between exposure to xenobiotic compounds and the increased risk of Alzheimer’s disease. Graphical Abstract
Evaluation of calcium lignosulfonate as a acceptable previous cargo for edible fats and oils

Abstract Shipping of edible fats and oils into Europe is permitted in bulk tanks, provided that the previous cargo is included in a positive list. The European Commission requested EFSA to evaluate the acceptability of calcium lignosulfonate as previous cargo for fats and oils. The evaluation was based on the same criteria as those used for the evaluation of the substances currently on the list in the Annex to Commission Directive 96/3/EC as a acceptable previous cargoes for edible fats and oils. In 2017, the EFSA Panel on Contaminants in the Food Chain (CONTAM Panel) concluded that calcium lignosulfonate did not meet the acceptability criteria, due to uncertainties as regards the composition and toxicity of its low‐molecular weight fraction (LMWF) below 1,000 Da. In the current evaluation, new information, showing lack of genotoxicity of the LMWF isolated from a technical grade of calcium lignosulfonate was provided. Due to uncertainties regarding the presence of lignosulfonate components below 200 Da in this LMWF tested for genotoxicity, the CONTAM Panel concluded that the information provided was insufficient to assess the acceptability of calcium lignosulfonate as previous cargo. The Panel recommends a better analysis of the LMWF and a new genotoxicity test using this LMWF, including components < 200 Da, and evidence that the tested material is representative of the LMWF in products intended to be shipped as previous cargo for edible fat and oils.
Multi-Electrode Capacitive and Inductive Sensing Applied to Level Measurement of Multiphase Fluids

Multiphase gravity separators are widely used in the petroleum industry to separate the produced stream of oil, water and natural gas into pure (single-phase) streams. These equipment work based on the density differences of each fluid which tend to settle into layers when dwelled for some time in the separator. It is fundamental to monitor the levels of these phases inside the vessel, so that this information can be used in control strategies in order to increase the efficiency and safety of the process. In this work, we present a novel multiphase level sensor based on capacitance and inductance measurements of planar multi-electrodes and multi-coils. The sensor is low-cost, fast and does not apply ionizing radiation, being therefore simple to operate. The prototype sensor was constructed in standard printed-circuit board (PCB) technology and highly sensitive capacitance and inductance measurements are acquired with modern integrated circuit devices. Since the capacitive sensor readings depend on the water salinity, we perform simultaneous inductance measurements to compensate for such dependence. We have tested the prototype from two different approaches: varying the water salinity and for different water/oil mixtures. Preliminary results have shown the capability of the sensor to differentiate each one of the produced fluids, i.e., salty water, oil and gas, as well as the interfaces between them. A 16 electrodes capacitive-only sensor prototype was also built and tested.
Les phytostérols: Une nouvelle approche dans la prise en charge diététique de l'hypercholestérolémie

La relation entre hypercholesterolemie et morbi-mortalite cardio-vasculaire est desormais etablie. Or, la pierre angulaire de la prise en charge de l'hypercholesterolemie est la dietetique. Cependant, la compliance, en particulier lorsqu'il s'agit d'un regime hypocholesterolemiant au long cours, n'est pas excellente. Les phytosterols et leurs derives sont des substances vegetales structurellement proches du cholesterol, mais suffisamment differentes pour interferer avec son absorption intestinale, provoquant ainsi une diminution de 10 % du cholesterol total et du LDL cholesterol. Les esters de phytosterols ou de phytos-tanol incorpores dans un corps gras, tel que la margarine, a la dose de 1,5 a 3 g/jour ne changent pas le gout ou l'apparence de l'aliment. Ils permettent une amelioration du profil lipidique et leurs effets secondaires se resument a la baisse plasmatique des carotenoides ce qui ne semble pas representer un risque pour la sante.
The Blessings of Multiple Causes: Rejoinder

We thank all the discussants for taking the time and energy to build on this work; and we thank the editors for putting together an engaging and thought-provoking collection of discussions. After reading these contributions, we were struck that these are not mere discussions—indeed, each is an article in itself. This collection pushes forward “The Blessings of Multiple Causes” in significant ways, offering new theory, new criticism, and new application. After highlighting some of the themes of these articles, we will turn to each individually. “The Blessings of Multiple Causes” provide assumptions, theory, and algorithms for multiple causal inference. The deconfounder algorithm involves modeling the causes, using the model to infer a substitute confounder, and then using the substitute confounder in a downstream causal inference. The deconfounder is not a black-box solution to causal inference. Rather, it is a way to use careful domain-specific modeling in the service of causal inference. Causal inference with the deconfounder involves a number of assumptions and trade-offs, and many of the discussants highlighted these. Among them are the following. (1) There can be no unobserved single-cause confounders. (2) When we apply the deconfounder, we trade an increase in estimation variance for a reduction in confounding bias; there is no free lunch. (3) We do not recommend using the deconfounder with causally dependent causes, such as a time series; finding a substitute confounder may be too difficult in these scenarios. There are many directions for further research, and the discussants have pointed out several of the most important ones. We need a more complete picture of identification; D’Amour (2019) and the discussions here make good progress (see Table1). We need to understand the finite-sample properties of the deconfounder, and how to estimate uncertainty about causal inferences when using a substitute multi-cause confounder. We need rigorous methods of model criticism for assessing the validity of the substitute confounder. Deconfounder-like methods have already been used for genome-wide association studies (e.g., Pritchard et al. 2000) and estimating peer effects in networks (Shalizi and McFowland III 2016). More broadly, the deconfounder strategy points to many applications, including in genetics, psychology, education, and marketing, where factor models are routinely fit to largescale data. We hope that statisticians and machine learners will
Comparativa de algoritmos de detección de características para visión artificial

La deteccion de caracteristicas es uno de los componentes esenciales de varias aplicaciones de vision artificial, por lo que ha recibido una creciente atencion en los ultimos anos. Se ha propuesto durante todo este tiempo una gran variedad de detectores y descriptores de caracteristicas atendiendo a los parametros elegidos a la hora de hacer la seleccion de caracteristicas. Todas las aplicaciones de vision artificial dependen de la presencia de caracteristicas fiables y estables, por lo que es importante que estas se seleccionen correctamente. Los objetivos de este proyecto son describir los pasos de la tecnica Structure From Motion (SFM), donde encaja la deteccion de caracteristicas e indica la importancia de seleccionar el algoritmo adecuado para localizarlas. Tambien se analizaran los algoritmos mas conocidos (Moravec, Harris y Shi-Tomasi), mostrando sus ventajas y desventajas, asi como meetodos de evaluar el rendimiento. Abstract: Features detection is one of the essential components of several artifficial vision applications; this is the reason why it has received an increasing attention in the last few years. A wide variety of detectors and feature descriptors have been proposed during all this time, taking into account the parameters chosen when selecting the features. All applications of artifficial vision depend on the presence of reliable and stable features, so it is important that these are selected correctly. The objectives of this project are to describe the steps of the Structure From Motion (SFM) technique, where the detection of characteristics fits and indicate the importance of selecting the appropriate algorithm to locate them. We will also analyze the best known algorithms (Moravec, Harris and Shi-Tomasi algorithms), showing their advantages and disadvantages, as well as methods of evaluating their performance.
Seismic Moment Evolution During Hydraulic Stimulations

Analysis of past and present stimulation projects reveals that the temporal evolution and growth of maximum observed moment magnitudes may be linked directly to the injected fluid volume and hydraulic energy. Overall evolution of seismic moment seems independent of the tectonic stress regime and is most likely governed by reservoir specific parameters, such as the preexisting structural inventory. Data suggest that magnitudes can grow either in a stable way, indicating the constant propagation of self‐arrested ruptures, or unbound, for which the maximum magnitude is only limited by the size of tectonic faults and fault connectivity. Transition between the two states may occur at any time during injection or not at all. Monitoring and traffic light systems used during stimulations need to account for the possibility of unstable rupture propagation from the very beginning of injection by observing the entire seismicity evolution in near‐real time and at high resolution for an immediate reaction in injection strategy.
Pronóstico de la velocidad del viento mediante técnicas de Inteligencia Artificial

N -steps forecasting is not an easy task; it is important to develop and use techniques that simplify this task. This paper tests Artiﬁcial Intelligence models for three diﬀerent multi-step forecasting strategies: Iterative , Direct , and Multiple Input - Multiple Output ( MIMO ). The ﬁrst step preprocesses the time-series to clean (remove outliers and noise) and transform the data into sequences or images; after that, three types of Artiﬁcial Neural Networks (ANN) are used to construct forecasting models: Multilayer Perceptron (MLP), Long Short Term Memory (LSTM) and Convolutional Neural Networks (CNN). Experiments that use data generated from climate stations in Michoacan, Mexico are shown, where the performance obtained with each model and strategy can be observed.
Detection of the CD64 on Neutrophils and CD69 on Lymphocytes by Flowcytometry as a Marker for Early Diagnosis of Neonatal Sepsis

Background : Neonatal sepsis remains one of the main causes of mortality and morbidity despite the progress in hygiene, introduction of new and potent antimicrobial agents for treatment, and advanced measures for diagnosis. The diagnosis of sepsis is difficult because of non-specificity of clinical signs and symptoms and overlapping of symptoms with other noninfectious causes of systemic inflammation. Aim: Identification the CD64 and CD69 markers on the surface of neutrophils and lymphocytes respectively by using flowcytometry assay to evaluate their role in the early diagnoss of bacterial neonatal sepsis. Methods: This study was conducted on 75 neonates who were admitted to Maternity and Childhood Teaching Hospital at neonatal intensive care unit (NICU) at AL-Diwaniyah city, and 75 healthy neonates as a (control group). Flowcytometric analysis was done for detection of CD64 on neutrophils and CD69 on lymphocytes. One ml of EDTA treated blood was freshly processed and analyzed by flowcytometry within 24 hours. Results: The median CD64 neutrophil and CD69 lymphocytes expression was significantly higher among both cases groups compared to healthy controls. In addition, the median for proven sepsis group was significantly higher than that of probable sepsis group. Conclusion : Neutrophil CD64 is a highly sensitive and specific marker for neonatal sepsis. Prospective studies incorporating CD64 into a sepsis scoring system are warranted. However, the important issues of cost and availability are required to be evaluated in routine clinical setting.
Methicillin-resistant Staphylococcus aureus (MRSA) isolated from pet animals and pet and non-pet owners

This study was done to determine the occurrence of methicillin-resistant Staphylococcus aureus (MRSA) among cats and dogs, the pet owners and in persons who did not keep pets and to determine the antibiotic susceptibility of the isolates. MRSA was isolated from 7 (11.7%),18 (30%) and 8 (13.3%) of the 60 samples each collected from 30 cats and dogs, 30 pet owners and 30 persons who did not keep pets respectively. Twenty percent (6/30) of the cats and dogs, 30% (9/30) of pet owners and 20% (8/30) of persons who did not keep pets were positive for MRSA. The S. aureus isolates showed resistance to four other antibiotics, namely ampicillin, erythromycin, tetracycline and streptomycin; all isolates were sensitive to gentamicin. The zoonotic and anthroponotic potentials of MRSA in animals were reviewed.
Clinical and Radiographic Effects of Bone Marrow Derived Mesenchymal Stem Cells Along with Local Insulin Therapy in Healing of Segmental Bone Defect in Diabetic Rabbits

The objective of present study was to investigate the efficacy of cultured allogenic bone marrow derived mesenchymal stem cell (BMMSCs) implant with insulin therapy for increasing osteosynthesis in bone gap defects in diabetic rabbits. Thirty six, clinically healthy New Zealand White rabbits were divided into four groups: A, B, C and D. Diabetes was induced experimentally in all rabbits, except group A. A 5 mm bone defect was created in right radii of all rabbits and following treatment was given: hydroxyapatite granules (group A and B), hydroxyapatite granules and insulin therapy (group C), cultured allogenic BMMSCs in hydroxyapatite scaffold and insulin therapy (group D). Clinical and radiographic parameters were recorded at days 0, 30, 60 and 90. It may be conducted that cultured allogenic bone marrow derived mesenchymal stem cells in hydroxyapatite scaffold along with local insulin therapy produces faster and better healing in alloxan-induced diabetic rabbits compared to healthy control, untreated diabetic and local insulin treated groups.
Effects of Moderate and High Intensity Swimming Exercise on Liver Lipid Metabolism in Rats

The purpose of this paper is to measure the total cholesterol (TC), triglyceride (TG), high densitylipoprotein (HDL) and low density lipoprotein (LDL) in liver tissue by medium and high intensity swimmingintervention. Describe the effects of white mice on lipid metabolism in the middle and high intensity swimming.In this experiment, 30 healthy adult male Sprague-Dawley rats were divided into control group (C group),moderate mild training group (M group) and experimental load group (O group), in which mice were distributedaccording to the equal proportion. The control group was naturally fed for five weeks according to theestablished schedule, the middle control group was swimming for five weeks according to normal operation, andthe experimental load group was swimming for five weeks according to high intensity. Finally, the TC contentand liver tissue HDL levels in the quiet control group and the moderately mild training group and the quietcontrol liver tissue were taken as one of the important judgments of this study, and the difference wasstatistically significant (P<0.05). It was found that the content of HDL in liver tissue of group C wassignificantly higher than that of group C, and the difference was statistically significant (P<0.01). Comparedwith the O group, the HDL content in the liver tissue of the C group also increased, and the difference wasextremely significant (P<0.01). Compared with group C, the LDL content of liver tissue in group M wassignificantly lower than that in group C, and its value was statistically significant (P<0.05). The LDL content inthe liver tissue of group M and group O was significantly lower, and the difference was statistically significant(P<0.05). Experiments have shown that moderate-intensity, periodic, and appropriate aerobic exercise isbeneficial to the liver's lipid metabolism and is more beneficial to the health of the normal population.
Subjetivización, alcance y gramaticalización: de la interruptividad a la admiratividad en construcciones del tipo llegar y + VF1

espanolEl presente trabajo aborda la evolucion semantica de expresiones del tipo llegar y + VF en espanol. Partiendo de su caracterizacion como estructuras monopredicativas, se propone que el valor basico que codifican es el de aspecto interruptivo, el que puede desarrollar de modo secundario un valor admirativo. Desde un punto de vista empirico, se aportan evidencias documentales que muestran la mayor profundidad historica de los usos que expresan la ocurrencia abrupta de un evento, frente a los usos esporadicos y mas recientes en los que de modo inequivoco puede apreciarse un valor admirativo no dependiente de un valor aspectual primario. Desde un punto de vista teorico, el paso de un valor a otro se formula como un proceso de aumento de alcance en la jerarquia de operadores de la clausula, idea comun en aproximaciones tanto funcionales (Hengeveld 2017) como formales (Roberts 2012) a la gramaticalizacion. Finalmente, el analisis muestra que puede mantenerse para las estructuras del tipo llegar y + VF un valor semantico unificado de transicion abrupta que, dependiendo del nivel jerarquico en el que opera, puede desencadenar un valor bien propiamente aspectual –aplicado a un estado de cosas–bien admirativo –aplicado a la proposicion–, especificamente, al tiempo de adquisicion de la evidencia (Carol 2018, Lau y Rooryck 2017). EnglishThis work addresses the semantic evolution of constructions of the llegar y + FV type in Spanish. Taking as a point of departure their characterization as monopredicative structures, we propose that the core meaning they convey is the interruptive aspect, which can develop mirativity as a secondary value. From an empirical point of view, documentary evidence is provided which shows the deeper historical reach of uses marking an event’s abrupt occurrence, in contrast to the recent and still sporadic uses to which an unequivocal mirative value can be attributed. From a theoretical point of view, this process of change is formulated as a process of scope increase in the hierarchy of clausal operators, which appears as a common assumption to both functional (Hengeveld 2017) and formalist (Roberts 2012) approaches. Finally, our analysis shows that a single and unified core semantic value, ‘abrupt transition’, can be suggested to cover all uses of llegar y + FV. This value, depending on the hierarchical level at which it operates, can trigger either an aspectual value –if applied to states of affairs– or a mirative value –if applied to propositions, specifically, the evidence acquisition time– (Carol 2018, Lau y Rooryck 2017).
Establishing a Causal Link between Ankylosing Spondylitis and Inflammatory Bowel Disease: A Review of the Literature

The link between ankylosing spondylitis and inflammatory bowel disease is unclear, however it is hypothesized that there is a causal link between the inheritance of a human leukocyte antigen B27 allele and the development of inflammatory bowel disease symptoms in ankylosing spondylitis patients. Research articles assessing the relationship between ankylosing spondylitis, inflammatory bowel disease and the human leukocyte antigen B27 antigen were collected from the PubMed database. Patients expressing the human leukocyte antigen B27 allele have a demonstrated predisposition to developing symptoms of inflammatory bowel disease and sacroiliitis in ankylosing spondylitis. However, human leukocyte antigen B27 is considered to be just a contributing factor in the disease, as interleukin-23, natural killer cells, and alterations to the microbiome have also demonstrated an active role in the development of symptoms. More longitudinal studies using larger cohorts are needed to further substantiate a direct causal relationship between ankylosing spondylitis and inflammatory bowel disease.
Neonatal Abstinence Syndrome Due To In-Utero Exposure To SSRI: A Case Report

A 4.4-kilogram neonate developed symptoms of Neonatal Abstinence Syndrome (NAS) after in-utero exposure to the selective serotonin reuptake inhibitor (SSRI) sertraline. The neonate developed severe symptoms of irritability, tremulousness, difficulty eating and difficulty sleeping two days after delivery. While conservative management is often undertaken following in-utero SSRI exposure, this neonate required treatment with phenobarbital to control his symptoms. We present this case with a discussion of medication treatments for persistent or severe symptoms following SSRI-exposure in-utero.