Miracle-dz/UniFAR-FTUs huggingface dataset:
Prediction of Heart Disease using an Ensemble Learning Approach

—The ability to predict diseases early is essential for improving healthcare quality and can assist patients in avoiding potentially dangerous health conditions before it is too late. Various machine learning techniques are used in the medical field. Nonetheless, machine learning is critical in determining the future of pharmaceuticals and patients’ health. This is because the various classification techniques provide a high level of accuracy. However, because so much data are being gathered from patients, it becomes harder to find meaningful cardiac disease predictions. A vital research task is to identify these characteristics. Individual classification algorithms in this situation cannot generate flawless models capable of reliably predicting heart disease. As a result, higher performance might be achieved by using ensemble learning approaches (ELA), producing accurate cardiac disease predictions. In the present research work, we utilized an ELA for the early prediction of heart disease, using a new combination including four machine learning algorithms—adaptive boosting, support vector machine, decision tree, and random forest—to increase the accuracy of the prediction results. We used two wrapper methods for feature selection: forward selection and backward elimination. We used the proposed model with three datasets: the StatLog UCI dataset, the Z-Alizadeh Sani dataset, and the Cardiovascular Disease (CVD) dataset. We obtained the highest accuracy when using our proposed model with the Z-Alizadeh Sani dataset, where it was 0.91, while the StatLog UCI dataset was 0.83. The CVD dataset obtained the lowest accuracy, 0.73.
A Framework for Agriculture Plant Disease Prediction using Deep Learning Classifier

—The agricultural industry in Saudi Arabia suffers from the effects of vegetable diseases in the Central Province. The primary causes of death documented in this analysis were 32 fungal diseases, two viral diseases, two physiological diseases, and one parasitic disease. Because early diagnosis of plant diseases may boost the productivity and quality of agricultural operations, tomatoes, Pepper and Onion were selected for the experiment. The
A prospective before‐and‐after trial of a medical emergency team

“It often has been said that it is not work but worry that kills. ” This statement, from an early 20thcentury JAMA editorial entitled Physicians and longevity, argued that hard work and a resolute focus on unravelling the unknown in medicine were rewarded with living to an advanced age. Paragons of this phenomenon included Virchow, the famed pathologist (nearly 81 years), Harvey, discoverer of the circulation (79 years), and the French surgeon Ambroise Paré, who, “in spite of a life of trials and years of unhealthy camp life, lived to be nearly 75”.
Advancing eddy parameterizations: Dynamic energy backscatter and the role of subgrid advection and stochastic forcing

A universal approach to overcome resolution limitations in the ocean is to parametrize physical processes. The traditional method of parametrizing mesoscale range processes on eddy-permitting mesh resolutions, known as a viscous momentum closure, tends to over-dissipate eddy kinetic energy. To return excessively dissipated energy to the system, the viscous closure is equipped with a dynamic energy backscatter, which amplitude is based on the amount of unresolved kinetic energy (UKE). Our study suggests including the ad-vection of UKE to consider the eﬀects of nonlocality on the subgrid. Furthermore, we suggest incorporating a stochastic element into the subgrid energy equation to account for variability, which is not present in a fully deterministic approach. This study demonstrates increased eddy activity and highlights improved ﬂow characteristics. In addition, we provide diagnostics of optimal scale separation between dissipation and injection operators. The implementations are tested on two intermediate complexity setups of the global ocean model FESOM2: an idealized channel setup and a double-gyre setup.
Current perspectives on the optimal age to spay/castrate dogs and cats

: Spaying and castrating of dogs and cats has been considered for decades to be a routine standard of practice in veterinary medicine in the US for the prevention of numerous undesirable behaviors, medical conditions, and diseases. Additionally, the procedures have been promoted as a method of curbing the severe pet-overpopulation problem in the US. Recently, however, this routine practice has come under scrutiny and become a very controversial topic. The general wisdom and safety of the procedures have been questioned by those who are concerned that the procedures may have some unintended consequences that are only recently being recognized. The purpose of this paper is to critically examine the scientific literature regarding elective spay/castration procedures and present both risks and benefits of elective gonadectomy. After the literature is examined, it becomes clear that there may not be a single absolute optimal age to spay or castrate all dogs and cats, but that the optimal age may be dependent upon several factors, including spe-cies, breed, body size, and breed-specific diseases, among others. Determining the optimal age to perform elective gonadectomy is much clearer in cats, and the literature demonstrates that the procedures can typically be safely performed at any age after 6–8 weeks of age. The optimal age to spay or castrate dogs of certain breeds (rottweiler, golden retriever, Labrador retriever, and vizsla) is becoming less clear as studies are being conducted as to the health benefits and risks in those breeds. This review will examine these controversies and make recommendations as to the optimal age to spay/castrate dogs based upon the scientific literature.
Brain region-specific gene expression profiles in freshly isolated rat microglia

Copyright It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content licence (like Creative Commons). UvA-DARE is a service provided by the library of the University of Amsterdam (http://dare.uva.nl) and van Dam AM (2015) Brain region-specific gene expression profiles in freshly isolated rat microglia. Microglia are important cells in the brain that can acquire different morphological and functional phenotypes dependent on the local situation they encounter. Knowledge on the region-specific gene signature of microglia may hold valuable clues for microglial functioning in health and disease, e.g., Parkinson's disease (PD) in which microglial phenotypes differ between affected brain regions. Therefore, we here investigated whether regional differences exist in gene expression profiles of microglia that are isolated from healthy rat brain regions relevant for PD. We used an optimized isolation protocol based on a rapid isolation of microglia from discrete rat gray matter regions using density gradients and fluorescent-activated cell sorting. Application of the present protocol followed by gene expression analysis enabled us to identify subtle differences in region-specific microglial expression profiles and show that the genetic profile of microglia already differs between different brain regions when studied under control conditions. As such, these novel findings imply that brain region-specific microglial gene expression profiles exist that may contribute to the region-specific differences in microglia responsivity during disease conditions, such as seen in, e.g., PD.
Anti-Inﬂammatory Beneﬁts of Antibiotic-Induced Neutrophil Apoptosis: Tulathromycin Induces Caspase-3-Dependent Neutrophil Programmed Cell Death and Inhibits NF- (cid:1) B Signaling and CXCL8 Transcription (cid:1)

Clearance of apoptotic neutrophils is a central feature of the resolution of inﬂammation. Findings indicate that immuno-modulation and induction of neutrophil apoptosis by macrolide antibiotics generate anti-inﬂam-matory beneﬁts via mechanisms that remain obscure. Tulathromycin (TUL), a new antimicrobial agent for bovine respiratory disease, offers superior clinical efﬁcacy for reasons not fully understood. The aim of this study was to identify the immuno-modulating effects of tulathromycin and, in this process, to establish tulathromycin as a new model for characterizing the novel anti-inﬂammatory properties of antibiotics. Bronchoalveolar lavage specimens were collected from Holstein calves 3 and 24 h postinfection, challenged intra- tracheally with live Mannheimia haemolytica (2 (cid:1) 10 7 CFU), and treated with vehicle or tulathromycin (2.5 mg/kg body weight). Terminal deoxynucleotidyltransferase-mediated dUTP-biotin nick end labeling (TUNEL) staining and enzyme-linked immunosorbent assay (ELISA) revealed that tulathromycin treatment signiﬁcantly increased leukocyte apoptosis and reduced levels of proinﬂammatory leukotriene B 4 in M. haemolytica -chal- lenged calves. In vitro , tulathromycin concentration dependently induced apoptosis in freshly isolated bovine neutrophils from healthy steers in a capase-3-dependent manner but failed to induce apoptosis in bovine ﬁbroblasts, epithelial cells, and endothelial cells, as well as freshly isolated bovine blood monocytes and monocyte-derived macrophages. The proapoptotic effects of TUL were also, in part, drug speciﬁc; equimolar concentrations of penicillin G, oxytetracycline, and ceftiofur failed to cause apoptosis in bovine neutrophils. In addition, tulathromycin signiﬁcantly reduced levels of phosphorylated I (cid:2) B (cid:3) , nuclear translocation of NF- (cid:2) B p65, and mRNA levels of proinﬂammatory interleukin-8 in lipopolysaccharide (LPS)-stimulated bovine neu- trophils. The ﬁndings illustrate novel mechanisms through which tulathromycin confers anti-inﬂammatory beneﬁts. as previously described was at (cid:3) g the were 20 ml and spun again at (cid:3) g for Contaminating erythrocytes were eliminated 20 ml hypotonic lysis (10.6 mM Na 2 HPO 4 , 2.7 2 PO and isotonicity was restored by adding 10 ml of cold 3 (cid:3) hypertonic restoring solution (10.6 mM Na 2 HPO 4 , 2.7 mM NaH 2 PO 4 , 462 mM NaCl). The lysing procedure was repeated two more times. After centrifugation at 1,200 (cid:3) g , the was resuspended in HBSS containing 10% heat-inactivated bovine (HI-FBS; to optimize the cell Using a he- mocytometer, neutrophil viability was determined, excluded assess monocytes centrifugation (cid:3) g reverse Super- Script ﬁrst-strand synthesis system MyCycler
An Optimized Technique for Plant Identification Through Deep Residual Networks

Advancing our knowledge and understanding of the plants around us is very significant and crucial in medical, economic, and sustainable agriculture. Plant image recognition has been an interdisciplinary emphasis in the science of computer vision. Convolutional neural networks (CNN) are used to learn feature representation of 185 classes of leaves, under the benign conditions of rapid advancement in computer vision and deep learning algorithms. A 50-layer deep residual learning framework with 5 steps is built for large-scale plant classification in the natural environment. On the leaf snap data set, the proposed model achieves a recognition rate of 93.09 percent as accuracy of testing, demonstrating that deep learning is a highly promising forestry technology.
Feature-Oriented Cache Designs

We propose a novel methodology for designing and implementing caches. Instead of a monolithic specification of all features, we compose features to arrive at a desired implementation. To achieve this goal, we leverage programming language types and finite-state machine states as hooks for feature specification and deployment. Our approach accommodates immediate integration of cache components and their variations, as each feature is woven automatically into a base implementation. WedesignedandimplementedsuchacacheusingtheRISC-V-mini implementation, presenting resource usage for 10 distinct endpoints across both the instruction and data caches.
effect of administration of water enriched in O 2 by injection or electrolysis on transcutaneous oxygen pressure in anesthetized pigs

Background: Oral administration of oxygenated water has been shown to improve blood oxygenation and could be an alternate way for oxygen (O 2 ) supply. In this experiment, tissue oxygenation was compared in anesthetized pigs receiving a placebo or water enriched in O 2 by injection or a new electrolytic process. Methods: Forty-two pigs randomized in three groups received either mineral water as placebo or water enriched in O 2 by injection or the electrolytic process (10 mL/kg in the stomach). Hemodynamic parameters, partial pressure of oxygen in the arterial blood (PaO 2 ), skin blood flow, and tissue oxygenation (transcutaneous oxygen pressure, or TcPO 2 ) were monitored during 90 minutes of general anesthesia. Absorption and tissue distribution of the three waters administered were assessed using dilution of deuterium oxide. Results: Mean arterial pressure, heart rate, PaO 2 , arteriovenous oxygen difference, and water absorption from the gut were not significantly different among the three groups. The deuterium to protium ratio was also similar in the plasma, skin, and muscle at the end of the protocol. Skin blood flow decreased in the three groups. TcPO 2 slowly decreased over the last 60 minutes of the experiment in the three groups, but when compared to the control group, the values remained significantly higher in animals that received the water enriched in O 2 by electrolysis. Conclusions: In this protocol, water enriched in O 2 by electrolysis lessened the decline of peripheral tissue oxygenation. This observation is compatible with the claim that the electrolytic process generates water clathrates which trap O 2 and facilitate O 2 diffusion along pressure gradients. Potential applications of O 2 -enriched water include an alternate method of oxygen supply.
Combining metformin and esomeprazole is additive in reducing sFlt-1 secretion and decreasing endothelial dysfunction #_#x2013; implications for treating preeclampsia

The discovery of new treatments that prevent or treat preeclampsia would be a major advance. Antiangiogenic factors soluble fms-like tyrosine kinase-1 (sFlt-1) and soluble endoglin (sENG) are secreted in excess from the placenta, causing hypertension, endothelial dysfunction, and multiorgan injury. We recently identified metformin and esomeprazole as potential treatments for preeclampsia. Both reduce placental and endothelial secretion of sFlt-1 and soluble endoglin, and reduce endothelial dysfunction.
Leaf side determines the relative importance of dispersal versus host filtering in the phyllosphere microbiome

Leaf surface-associated bacterial communities play a significant role in plant health and have therefore been the focus of increasing interest. Despite this, we currently lack a predictive understanding of how leaf-associated bacterial communities are structured within and across hosts, including how leaf traits shape this variation and how community assembly processes may differ across distinct microbial habitats on a leaf. In this study, we characterize the composition of bacterial phyllosphere communities from the upper and lower leaf surfaces of 66 plants across 24 species grown at a common site using 16S rRNA amplicon sequencing. By comparing leaves that vary in pH and stomatal densities and analyzing the leaf surfaces separately, we were able to test the key factors shaping the phyllosphere across host plant species from diverse geographical origins. We found a surprisingly large shared/core microbiome across species, as well as a strong effect of plant species and native origin in shaping composition. Importantly, we found the lower leaf side, where pH values are generally lower and stomatal densities higher, to have lower taxonomic richness relative to the upper leaf side. While the upper leaf side community appears to be more strongly influenced by dispersal effects, the lower leaf appears to be more strongly influenced by plant host filtering effects, as supported by higher relative abundance of shared core taxa and higher signatures of endemism. This work highlights important differences in community assembly processes across the upper and lower leaf microbiomes and underscores the importance of considering differences among habitats within a host when explaining microbial community assembly and composition.
TROPOSPHERIC REFRACTION CORRECTIONS USING A MICROWAVE RADIOMETER.

Abstract : The accuracy of radar tracking systems has increased to the stage where one of the the major limiting factors is tropospheric refraction, especially at low elevation angles. Much effort has been expended to establish realistic error models and to correlate ground measurements with refraction over the ray path. Because of the variability, both in space and in time, of the refractive index of the atmosphere, these efforts have net with only limited success. This report discusses a technique which shows promise of considerably improving this situation. (Author)
Financial security of macro regions in the period of military aggression

Purpose. Formulation of the main factors affecting the internal migration of the population during the period of military aggression, creation of an economic-mathematical model that will reproduce the number of internally displaced persons (IDPs) for forecasting the financial support of macro-regions. Methodology. The research used general scientific and special research methods: the method of critical analysis, scientific abstraction and generalization of scientific experience of modern theoretical studies, methods of statistical analysis, expert evaluations, system-complex approach. Findings. The main differences in the reasons for the country citizens’ migration are identified in peacetime and in wartime. The factors that increase the behavioral uncertainty of displaced persons are outlined. It is proposed to create economic and mathematical models that will reproduce the dynamics of the number of displaced persons people to forecast the financial provision of macro-regions using the method of correlation-regression analysis. Invariable indicators that have the greatest impact on the number are determined for new arrivals in the specified territories. Originality. The economic and mathematical models presented in the article reproduce the dynamics of the number of internally displaced persons based on statistical data of a representative survey. Unlike the existing ones, they take into account the main factors that affect the internal migration of the population during the period of military aggression. Practical value. The economic-mathematical models presented in the article can be applied in practice in the methods for calculating the financial needs of regions, individual regions and settlements to forecast the number of forced migrants. The method proposed in the article for calculating the forecast quantity of internal migrants allows timely adjustment of the components of economic and mathematical models, which contributes to increasing their reliability.
Low Altitude Large Scale Reconnaissance: A Method of Obtaining High Resolution Vertical Photographs for Small Areas Revised Edition

Low altitude large scale reconnaissance (LALSR) has grown from a marriage of engineering design, photo interpretation, radio controlled model aircraft, and photography. It has the capability of vertical high resolution recording of small areas for analysis. This volume is an attempt to pull all these disciplines together in such a way as to make LALSR a useful tool to all who have the need for it. It is not an answer to all reconnaissance problems, just another tool to use in the field. ACKNOWLEDGEMENTS As in any endeavor, this volume is not the work of one individual. Many listed below could be co-editors. It started 23 years ago when two associates suggested there was a better way to photograph close to the ground from the air. Their encouragement and the challenge of others have been greatly appreciated. To Ray Matheny, Thomas Hinckley, Arthur Ireland, Larry Gillen, Jim Judge, and Steve DeVore, I give thanks for being those people. Special thanks to Jule Caylor for his constant challenging without ever being offensive. His constant positive questioning will make this book outdated before it ever gets into print. Wally Barrus had to teach me to fly the machines. His patience with a one eyed photographer never ceased to amaze me. Special thanks goes to my "Boss," Dean vanUitert who has more faith in me than 1 do. Special help and understanding came from our editors, Don Norton, Kim Greenhaugh, and Kekoa Kaluhiokalani who make the whole thing understandable. And last but not least, my undying gratitude goes to my wife, Marlene, to whom I will be eternally grateful. To her and our children goes the "Medal of Patience. " Ninety-five percent of all the LALSR imagery used in this book were originally in color.
Restoration of remote sensing images based on nonconvex constrained high-order total variation regularization

Abstract. Convex total variation (TV) regularization models have been widely used in remote sensing image restoration problems; however, these models tend to produce staircase effects. We consider a nonconvex second-order TV regularization model with linear constraints for remote sensing image restoration. To solve the nonconvex second-order TV regularization model, we propose an efficient alternating minimization algorithm based on generalized iterated shrinkage algorithm and alternating direction method of multipliers. Experimental results demonstrate the effectiveness of the proposed model, which can reduce staircase effects while preserving edges. In terms of signal-to-noise ratio and structural similarity index measure, the experimental results show that our proposed model and algorithm can give better performance compared with some state-of-the-art methods.
Smooth Anosov actions on T 3 and other nilmanifolds by surface groups

Constructing Anosov actions on nilmanifolds: starting with the case of tori, we explore ways to classify Anosov automorphisms and groups acting by Anosov automorphisms. Starting with the construction of examples, we study how all of these symmetries of a given algebraic structure, a nilmanifold, can be classified.
Auditory prosthesis using stimulation rate as a multiple of periodicity of sensed sound

A method is described for an auditory prosthesis system to generate electrical stimulation signals to stimulation contacts on an outer surface of an implanted electrode array. An input audio signal having a prominent sensed frequency is pre-processed to produce multiple representative frequency band signals. Each of the frequency band signals is then processed to generate corresponding electric stimulation signals for the stimulation contacts. Each of the electric stimulation signals has an associated stimulation frequency, and for at least one of the electric stimulation signals, the stimulation frequency is varied to maintain an integer ratio between the stimulation frequency and the prominent sensed frequency of the input audio signal.