Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF FEEDING CORN DISTILLERS DRIED GRAINS WITH SOLUBLES ON GROWTH PERFORMANCE, NUTRIENTS DIGESTIBILITY, PLASMA METABOLITES, IMMUNOLOGICAL STATUS, AND INTESTINAL HEALTH OF BROILERS

SUMMARY he current study aimed to evaluate the effect of replacing soybean and corn with corn distillers dried grains with solubles (DDGS) in grower and finisher broiler diets on performance, nutrients digestibility, blood constituents, immune response, as well as intestinal health indications. A total of three hundred and sixty 21-day-old broiler chicks (Ross 308) were divided into four groups, each group included six replicates of 15 birds each. The control group (CON) was fed the basal diet, whereas the second (D5), third (D10), and fourth (D15) groups were fed diets with 5%, 10%, and 15% DDGS, respectively at the expense of corn and SBM. Birds fed 5% and 10% DDGS showed an improvement in body weight and feed conversion ratio than those fed 15% DDGS and CON groups.Also, relative economic efficiency records an increase with DDGS treatments. All DDGS levels showed significantly decrease in plasma cholesterol concentration, while increased HDL values compared to the control group. As well, crude protein digestibility is enhanced; while dry matter, ether extract, nitrogen-free extract digestibility, and AMEn were not affected by dietary treatments. Likewise, no variance in carcass characteristics, lymphoid organs (%), and ileal histomorphology were observed by the dietary treatments (p< 0.05). Increased the cecum content of Escherichia coli in birds fed 15% DDGS were observed. According to results observed in this work, it could be concluded that DDGS is a valuable ingredient and might be added in the broiler diet up to 15% without any processing or addition. Also, poultry nutrition experts should investigate the possibility of adding DDGS at higher rates or mixing some suitable bio-additives that might help to improve the nutritional value and increase the utilization of DDGS, as a cheap by-product. blood constituents, immune response, and cecum
The Effects of Traditional Neuromuscular Training and Rider Specific Training on Novice Horse-Rider Position

The equine industry and the competition rider community are increasingly acknowledging that rider strength and fitness contribute to successful performance, and other sporting disciplines are more aware of the potential to improve performance. This study aimed to determine if the rider could maintain the classical position （i.e., with a straight line between the ear, shoulder, hip and heel） pre and post an additional dismounted fitness training programme. Students （N = 16） completed a dismounted training programme. All candidates were self-reported as sedentary and graded ＂＇novice＂ by a qualified riding instructor. Initial measurements of the deviation from the ESHH （ear, shoulder, hip, heel） alignment were carried out prior to the start of the regime, weekly and at the end of the 8-week training programme. An initial data collection was carried out （prior to any additional fitness regime） in walk, rising trot and sitting trot. An exercise session was timetabled into the syllabus as well as an hour riding session to film the candidates on a weekly basis. Each rider had 3D spherical markers attached at specific anatomical landmarks; QuinticTM Sports Biomechanics Video Analysis Software package allowed a vertical line to be drawn; the deviation of each marker from this line was recorded. Deviations from ESHH alignment were not normally distributed. The deviation of the marker in relation to time, marker placement, gait and repeat stride were tested using a Friedman test. The comparison between rider （subject） and marker （factor） was analysed using a Kruskal Wallis test. Additionally, dismounted exercise regimes suggested a significant improvement on novice rider position （P 〈 0.005）, each gait had a significant effect on the deviation from the ESHH alignment （N = 16, H2 = 221.53; P 〈 0.001）. The results suggest that additional exercise programs are effective at improving novice horse rider position, however, which exercise programs are most effective in advancing performanc
Time to vote: Temporal clustering of user activity on Stack Overflow

Question‐and‐answer (Q&A) sites improve access to information and ease transfer of knowledge. In recent years, they have grown in popularity and importance, enabling research on behavioral patterns of their users. We study the dynamics related to the casting of 7 M votes across a sample of 700 k posts on Stack Overflow, a large community of professional software developers. We employ log‐Gaussian mixture modeling and Markov chains to formulate a simple yet elegant description of the considered phenomena. We indicate that the interevent times can naturally be clustered into 3 typical time scales: those which occur within hours, weeks, and months and show how the events become rarer and rarer as time passes. It turns out that the posts' popularity in a short period after publication is a weak predictor of its overall success, contrary to what was observed, for example, in case of YouTube clips. Nonetheless, the sleeping beauties sometimes awake and can receive bursts of votes following each other relatively quickly.
The chronicle of headache treatment throughout human history from trepanation to perisutural botulinum toxin injections

Abstract To provide a historic snapshot as regards the evolution of headache treatment throughout the human history, i.e. starting from trepanation to perisutural botulinum toxin (BoNT) injections. Ancient surgeons had aimed to reach the cranium with trepanation (a surgical operation) for headache. As BoNT inhibits the release of nociceptive and pro-inflammatory neuropeptides, it has been recently suggested as an effective alternative in the prophylactic treatment of chronic migraine headache. Chronic migraine is a complex neurological disorder for which the underlying pathophysiology is yet not totally explained. According to the generally accepted hypotheses, peripheral neurogenic activation and central trigeminal sensitization are the two main mechanisms through which its pain develops. Since the headache most commonly occurs around the perisutural areas, and as the primary pathogenesis stem from the meningeal nerve fibers; collateral sensorial branches of the meningeal nerves can be optimal paths to transport BoNT inside the cranium. Concerning the therapeutic efficacy, we anticipate that perisutural injections would be technically challenging with blind techniques and actually possible only if performed under an imaging guidance, e.g. very conveniently with high frequency ultrasound.
Rheumatoid Arthrities: Etiology Pathophysiology and Modern Treatments

Rheumatoid arthritis (RA) is an autoimmune disease that affects the joints. Age, gender, genetics, and environmental exposure are all factors (cigarette smoking, air pollutants, and occupational). If untreated, felty syndrome, rheumatoid vasculitis, and irreversible joint damage might occur, necessitating splenectomy. Because there is no cure for RA, treatment seeks to reduce pain and prevent further damage. To develop effective RA treatments, researchers must first understand how the disease advances in people and how pathogenic pathways influence this progression. Modern pharmacologic therapy have made tremendous progress in obtaining illness remission without joint deformity (including conventional and biological treatments as well as novel potential small-molecule disease-modifying drugs). Despite this, many RA patients do not respond well to conventional treatments, necessitating the development of novel drugs. This comprehensive review of current advancements covers RA causation, disease-modifying drugs, and prospective RA therapeutics. This section summarises the various RA-related therapies available in the past and now.
Estimating Behavioral Agent-Based Models for Financial Markets through Machine Learning Surrogates

Traditional economic assumptions such as rational, representative agents and efficient market hypothesis failed to explain the macro-behavior of financial markets. On the other hand, agent-based approach proves high potentials in modeling bounded rational and heterogeneous micro-behaviors. This approach captures important stylized facts of financial markets. However, the high complexity of estimating agent-based models parameters precludes using these models in the forecasting process. This problem limits the applicability of agent-based models in decision making and policy formulation processes. Thereafter, this research aims at introducing a prospect for estimating agent-based models for financial markets through surrogate modeling approach. Surrogate models are considered as novel parameter estimation method in economics though it is a well-defined method in engineering. Few efforts have been spent to estimate parameters using surrogate models.
Laser-Induced Breakdown Spectroscopy (LIBS) for Trace Element Detection: A Review

Laser-induced breakdown spectroscopy (LIBS) has emerged as a promising technique for both quantitative and qualitative analysis of elements in a wide variety of samples. However, conventional LIBS suffers from a high limit of detection (LoD) compared with other analytical techniques. This review briefly discusses several methods that demonstrate the applicability and prospects for trace element detection while lowering the LoD when coupled with LIBS. This review compares the enhancement mechanisms, advantages, and limitations of these techniques. Finally, the recent development and application of LIBS coupled techniques for trace element detection are also discussed for various samples such as metal alloys, biomaterials, rare earth elements, explosives, drinking water, and water bodies.
The Inverted Yield Curve, Austrian Business Cycle Theory, and the True Money Supply

Ever since Campbell Harvey’s (1986) doctoral dissertation, academic economists have studied the ability of an inverted yield curve to “predict” an impending recession with impressive accuracy given suitable specifications. Many economists (including Campbell) explain the correlation by neoclassical “consumption smoothing,” while others attribute the connection to monetary policy’s ability to affect the business cycle. We agree with Cwik (2004 and 2005) that the Misesian circulation credit theory of the trade cycle, relying on both monetary and “real” (capital structural) elements, is superior to both flavors of mainstream explanation. In this paper, our contribution is to show that the growth rate of the Rothbard-Salerno measure of the “true money supply” tracks movements in Treasury bond spreads remarkably well. This provides additional support for our claim that the Austrian theory of the business cycle explains the “predictive power” of the yield curve better than the mainstream approach.
Shrinking Lung Syndrome in Systemic Lupus Erythematosus

Shrinking lung syndrome (SLS) is a rare complication of systemic lupus erythematosus (SLE), however it was also reported with other connective tissue diseases (CTDs). It is characterized by its low prevalence with higher incidence in females patients. Although it is much more frequent in advanced stages of the disease, rarely, SLS may be the presenting manifestation of SLE. It was found that it mostly occurs in patients without previous or concomitant major organ involvement, moreover in inactive stages of the disease. Progressive exertional dyspnea accompanied by pleuritic chest pain are considered the dominant symptoms in SLS. Pulmonary function tests (PFTs) with reduced lung volumes and radiographic finding of elevated diaphragmatic copula are the characteristic features in SLS. There are no standardized guidelines for the treatment of SLS in SLE. However, the majority of patients showed good response on medium to high doses of glucocorticoids. Moreover, an immunosuppressive agent should be added if the patient fails to improve on steroids alone.
Harnessing the Immune System with Cancer Vaccines: From Prevention to Therapeutics

Prophylactic vaccination against infectious diseases is one of the most successful public health measures of our lifetime. More recently, therapeutic vaccination against established diseases such as cancer has proven to be more challenging. In the host, cancer cells evade immunologic regulation by multiple means, including altering the antigens expressed on their cell surface or recruiting inflammatory cells that repress immune surveillance. Nevertheless, recent clinical data suggest that two classes of antigens show efficacy for the development of anticancer vaccines: tumor-associated antigens and neoantigens. In addition, many different vaccines derived from antigens based on cellular, peptide/protein, and genomic components are in development to establish their efficacy in cancer therapy. Some vaccines have shown promising results, which may lead to favorable outcomes when combined with standard therapeutic approaches. This review provides an overview of the innate and adaptive immune systems, their interactions with cancer cells, and the development of various different vaccines for use in anticancer therapeutics.
Diagnosis of Chronic Diseases Based on Patients’ Health Records in IoT Healthcare Using the Recommender System

Due to the growth of IoT applications, especially health care, the information of patients’ health records using data collection from IoT-connected devices has been considered. Biological data of patients in the health record helps to monitor the patient’s status and identify various diseases. Chronic diseases are a type of silent disease that, if not diagnosed in time, can cause irreparable damage to patients. The use of patients’ medical record data for early diagnosis of chronic diseases has recently attracted the attention of many researchers. On the other hand, the application of machine learning methods in the form of recommender systems has taken an important step in improving medical services and health care. In this paper, a medical recommender system was presented to identify and treat chronic diseases using an IoT device. In the present method, the electronic patient health record dataset that is loaded in the PhysioNet data repository has been used. In the present dataset, patients’ health records have been recorded according to the identified diseases and the physician’s diagnosis. In the proposed method, the K -nearest neighbor classification method is used to identify the type of disease, and the collaborative filtering method is used to find the appropriate treatment for patients. The results of the implementation of the proposed method show that this approach, based on the use of symptom similarity among patients, has good accuracy in diagnosing and predicting chronic diseases and has provided higher results than previous methods.
The Relationship between Motor Coordination Ability, Cognitive Ability, and Academic Achievement in Japanese Children with Autism Spectrum Disorder and Attention Deficit/Hyperactivity Disorder

Motor coordination abilities are related to cognitive abilities and academic achievement in children with neurodevelopmental disorders. However, the similarities and differences of these relationships in children with autism spectrum disorder (ASD) and attention deficit/hyperactivity disorder (AD/HD) have not been explored. The purpose of this study was to investigate the relationship between motor coordination abilities, cognitive abilities, and academic achievement in Japanese children with ASD and AD/HD. Participants included 20 children with ASD, 20 children with AD/HD, and 20 typically developing children, matched for age and gender. Their motor coordination abilities were assessed with the Movement Assessment Battery for Children-2 (MABC-2). Furthermore, cognitive ability and academic achievement were assessed with the Kauffman Assessment Battery for Children-II (K-ABCII). Results demonstrated that the MABC-2 Total score significantly correlated with the K-ABCII Simultaneous processing, Planning, Total cognitive ability, Writing and Arithmetic scores in children with ASD. However, in children with AD/HD, there was no significant correlation between MABC-2 and K-ABCII subscale scores. The results of this study indicated that the relationship between motor coordination ability, cognitive ability, and academic achievement differs between ASD and AD/HD. This difference might indicate the non-similarity of neurological characteristics and encourage consideration for an approach that accommodates the features of neurodevelopmental disorders in children.
Diagnostic en ligne à base de modèle bond graph

In the present chapter, it will be shown how bond graph tool efficient as multidisciplinary dynamic modeling language can be used for design of diagnosis systems. From an industrial point of view, design of such systems is complex and costly. This is why use of generic and unified approach for this task before industrial start up is needed. Indeed structural and causal properties of bond graph are exploited for diagnosability (ability to detect and isolate faults which may affect pertinent equipments) before design and diagnosis algorithms generation for on line monitoring. Moreover, those procedures can be automated using dedicated software. The methodology is illustrated using a DC motor.
Innovation Networks – Approaches to Derive Nodes and Edges Systematically

Companies do usually not develop highly complex products incorporating extensive product structures on their own. Interoperation beyond the company's borders widens the scope of innovation to innovation networks consisting of various companies and experts aiming at innovative products. Especially customers meet these products in various applications to fulfill their needs. Integration of proper participants in new product development (NPD) furthers the generation of really innovative conceptual designs, products, and services by incorporating specific knowledge and/or experience. The authors propose several approaches to reveal innovation networks by deriving participants and relations systematically. This framework will be applied to analysis an explorative study comprising 40 innovation projects. NPD process, product, and extended product application set the starting points to condense innovation networks systematically. Case studies illustrate the suggested approaches and demonstrate how awareness about innovation networks facilitates innovation.
Design of in-pipe robot based on inertial positioning and visual detection

The horizontal directional drilling technology is widely used to lay the underground pipelines. These pipelines are of small or medium diameters with a dip angle ranging from 10° to 20°, special pipelines to 30°. In-pipe robot is commonly used to detect the pipeline fault. A new type of telescopic in-pipe robot is designed in this article, which is driven by step motor and screw, and supported by wheels. The robot has advantages of waterproof grade of IP68, stable motion state, and larger traction force. The speed is between telescopic robots and wheeled robots. Through force analysis and calculation, its maximum climbing angle is larger than 35°. The robot has good passing ability through the pipelines with bends. The inertial technology is used to locate the robot under the condition of disturbances. The pipeline fault detection algorithm based on the visual identification technology is designed to detect the pipeline fault. It can not only achieve autonomic positioning but also detect the pipeline fault.
Design and optimization of lomefloxacin loaded NLC gel for ophthalmic drug delivery

Lomefloxacin is a fluoroquinolone drug that has broad-spectrum action against Gram-negative as well as Gram Positive pathogens. The drug retention issues of ophthalmic drug delivery are a key parameter to select NLC gel as a deliver system. The purpose of the present investigation was to design, optimize and evaluate Lomefloxacin loaded nano structured lipid gel for Ophthalmic Drug Delivery. Lomefloxacin loaded NLCs were prepared by high-pressure homogenization approach (hot), using Olive oil as liquid lipid, Stearic acid as solid lipid and tween 80 as surfactant. Box-Behnken design was used to optimize Lomefloxacin loaded NLCs using Design-Expert 12 programme. Lipid ratio X1, surfactant concentrationX2, and homogenization cycle X3 are kept as three independent variables particle size (Y1 nm), entrapment efficiency (Y2 percent), and drug release percentage (Y3 percent) as dependent variables. NLCs were characterized for particle size, zeta potential and entrapment efficiency. The effects of composition of lipid materials and surfactant mixture on the particle size, zeta potential, drug entrapment efficiency, and in vitro drug release behavior were investigated.
Effects of Verapamil and Two Bisbenzylisoquinolines, Curine and Guattegaumerine Extracted from Isolona hexaloba, on the Inhibition of ABC Transporters from Pseudomonas aeruginosa

The biological effects of alkaloids, curine, guattegaumerine, and verapamil, on Pseudomonas aeruginosa were investigated. These molecules did not inhibit P. aeruginosa growth but increased the sensitivity of this bacterium to carbenicillin, novobiocin, and erythromycin. The results of another study indicate that curine and guattegaumerine were competitors of verapamil and acted as inhibitors of eukaryotic ABCB1 efflux pump. A BLAST-P carried out between a bacterial MDR transporter LmrA from Lactococcus lactis, a human MDR1/P-glycoprotein (ABCB1), and ABC proteins of P. aeruginosa highlighted five potential candidates that have this bacterium. A study on the sensitivity to carbenicillin in the presence of verapamil allowed us to identify the product of gene PA1113 as the ABC transporter involved in the influx of carbenicillin. Similarly, novobiocin transport performed in the presence of verapamil and a docking analysis highlighted protein MsbA (Lipid A flippase, gene PA4997) as a potential candidate in novobiocin efflux. MsbA has previously been identified as a multidrug transporter in E. coli, and as P. aeruginosa MsbA presented 76% identity with E. coli MsbA, it is possible that novobiocin efflux involves this ABC transporter, accounting for about 30% of the bacterium resistance to this antibiotic.