Miracle-dz/UniFAR-FTUs huggingface dataset:
S-inflation:a testable, minimal model of inflation and dark matter

This thesis describes work on inflationary cosmology, specifically in relation to observations. After reviewing the theory of inflation and dark matter, we introduce a model, ‘S-inflation’, in which a gauge singlet scalar S (with quartic self-coupling s) is both thermal relic dark matter and the inflaton. This is made possible by its non-minimal coupling s to gravity, where s √ s ∼ 4.6 × 10 at tree level. Reheating occurs primarily through a stochastic resonance to Higgs bosons, which then annihilate to relativistic particles. Primary importance is given to the predictions the model makes for the Higgs mass (mh), spectral index (n) and S mass (ms). Under reasonable assumptions, 130 GeV 0.966. All of these are in principle within reach of the LHC, Planck and direct detection dark matter experiments, such as XENON100. We then show that the renormalization group improved effective potential is a superior method to the standard Coleman Weinberg potential for calculating inflation observables. Then, we compare the predictions of S-inflation to those of pure Higgs inflation and Higgs inflation with an additional scalar. For mh ≳ 130 GeV, the models are in general distinguishable through the spectral index n, with n > ncl for S-inflation models and n < ncl for Higgs inflation. For N e-foldings of inflation, ncl ≈ 1− 2 N − 3 2N2 ≈ 0.966. We next explain the origin of the apparent violation of unitarity at energy scales greater than Λ ∼ Mp s (Mp is the reduced Planck mass). As we demonstrate, the calculation of the unitarity bound is done perturbatively, while the theory is non-perturbative at the energy of unitarity violation. Therefore, it is not possible to conclude whether or not unitarity is violated in the model. The model may instead be strongly coupled, meaning that the calculation of scattering amplitudes at E ∼ Λ becomes non-perturbative, while the analysis of inflation is unchanged. If unitarity is shown to be violated in the original model, a new, unitarity conserving version i of the model can be considered. This has a simple form in the Einstein frame, and predicts a larger spectral index (n ≈ 0.975) than the original model.
Potential triggering factors associated with aneurysmal subarachnoid hemorrhage: A large single‐center retrospective study

Controlling blood pressure levels is critical to preventing intracranial aneurysm rupture, and a summary review of induced rupture events allows better health education for patients. We retrospectively reviewed all medical records of consecutive patients with aneurysmal subarachnoid hemorrhage (aSAH) admitted to Beijing Tiantan Hospital from 2015 to 2020. We collected patients’ demographic information, aneurysm morphology, blood pressure level on admission, time to onset, and events at the time of aneurysm rupture to analyze the factors precipitating aneurysmal rupture. A total of 764 patients were enrolled for analysis, including 461 (60.3%) female patients and 303 (39.7%) male patients. The mean age of onset in this cohort was 55, and 465 (60.9%) patients had hypertension history. Autumn (245/764 [32.1%]) was the most frequent season for aneurysm rupture, and 07:00–12:59 (277/764 [36.3%]) was the most frequent time frame for aneurysm rupture. The five most prevalent events when aneurysm rupture happened were: (1) daily behaviors that may induce hypertension (181/764 [23.7%]), especially defecation or micturition (116/181 [64.1%]); (2) sporting (162/764 [21.2%]), especially high‐intensity sports (108/162 [66.7%]); (3) mood and mental factors (112/764 [14.7%]), especially arguing or quarreling (61/112 [54.5%]); (4) sudden postural changes (93/764 [12.2%]), especially getting up (69/93 [74.2%]); and (5) sleeping (72/764 [9.4%]). Patients should avoid behaviors that may cause fluctuations in blood pressure, including keeping warm during seasonal alternation, keeping their urine and defecation unobstructed, avoiding high intensity physical exercise, maintaining a happy mood, avoiding sudden postural changes, and should not bathe with too cold or too hot water.
Diagnostic Value of Quantitative Contrast‐Enhanced Ultrasound in Comparison to Endoscopy in Children With Crohn's Disease

Quantitative contrast‐enhanced US (CEUS) provides objective evaluation of bowel wall perfusion and has been reported as a useful method for evaluating Crohn's disease (CD) activity in children. We tested its' diagnostic accuracy in comparison to endoscopy and evaluated its' usefulness in comparison to Pediatric Crohn's Disease Activity Index (PCDAI) and fecal Calprotectin (FC).
Mesenchymal Stem Cell Exosomes Encapsulated Oral Microcapsules for Acute Colitis Treatment

Mesenchymal stem cells derived exosomes (MSC‐exos) exhibit an intrinsic and directed efficiency for multiple diseases, while their versatile and effective delivery to the target site is still a challenge. Herein, inspired by the acids and enzymes resistant property of sealing gelatin capsules, novel MSC‐exo‐encapsulated oral microcapsules are presented for colitis treatment. Based on a microfluidic electrospray technique, MSC‐exos are first encapsulated in sodium alginate (SA) hydrogel microspheres with sustainable bioactivity. The resultant SA microspheres are then coated with a middle gelatin layer to protect MSC‐exos from degradation. Especially, with an enteric coating‐Eudragit FS30D on the outer layer, the resistance of the microcapsules in gastric juice is further enhanced. The prepared microcapsules maintain the stability and bioactivity of the MSC‐exos during storage, protect them from the harsh conditions in the gastrointestinal tract, and enable the release of actives in the suitable sites for exerting their biological functions. In addition, these MSC‐exos encapsulated microcapsules reduce the proinflammatory cytokines levels of inflammatory macrophages and impaired colonic epithelial cells, which exhibit superior damage repair ability in injured colon sites. Thus, it is believed that the proposed oral MSC‐exos encapsulated microcapsules are valuable for many practically clinical treatments.
cDNA sequence for the aM subunit of the human neutrophil adherence receptor indicates homology to integrin a subunits

The receptor on human neutrophils (poly-morphonuclear leukocytes) that mediates cellular adherence consists of two noncovalently associated subunits, designated aM (Mac-la, Mola, or CD11b; Mr, 170,000) and ( (Mac-1fl, Mol(3, or CD18; Mr, 100,000). We isolated a cDNA clone for the human neutrophil aM subunit by screening a Agt11 cDNA library made from chronic myelogenous leukemia neutrophils by using an affinity-purified rabbit polyclonal antibody directed against the aM subunit. We used this cDNA clone to obtain additional clones from cDNA libraries made from differentiated HL-60 promyelocytic leukemia cells. Together these cDNAs constitute the complete 1137-amino acid sequence for the mature human aM subunit protein. The deduced amino acid sequence indicates the preseice of an extensive extracellular domain with three putative metal-binding regions, (i) an amino acid region that is homologous to the A domain of von Willebrand factor, (ii) a 26-amino acid hydrophobic sequence that is a potential transmembrane domain, and (iii) a 19-amino acid cytoplasmic region. The amino acid sequence for the human neutrophil aM subunit contains regions that are closely related to amino acid sequences of adhesion receptors belong-ing to the integrin family.
Influence of ICT Use on Body Composition and Sedentary Death Syndrome (SeDS) Risk among University of Ilorin Sandwich Students

The ever-increasing demand for ICT has made it a leading cause of sedentariness, which is deleterious to health and wellbeing in several ways. The study examined Influence of ICT Use on Body Composition and Sedentary Death Syndrome (SeDS) Risk among University of Ilorin sandwich students. Ex-post facto research design was adopted. The population was all University of Ilorin sandwich students registered in 2015 contact session. Simple random sampling and proportionate stratified sampling was adopted to select 426 students. Standardized instruments, which consisted of portable stadiometer, body fat/hydration monitor scale and non-elastic tape rule, were used to assess body composition. Self-reported ICT use and physical activity level were obtained using modified Global Physical Activity Questionnaire (GPAQ). Pilot test was conducted to recalibrate and ascertain functionality of the body composition instruments while the questionnaire was validated by experts and subjected to test retest for reliability. A coefficient of 0.77r was obtained as evidence of its reliability. Data were analyzed using charts, descriptive statistics of percentage, mean, and standard deviation as well as inferential statistics of Pearson Product Moment Correlation. Hypotheses were tested at statistical significance of 0.05. A significant relationship was found between ICT use and sedentariness while excessive body fat was a major indicator for SeDS among University of Ilorin sandwich students. The researchers recommended that student should habitually exercise for at least 30 minutes on 3-5 days weekly; sit less and move more daily and take 3-5 minutes of physical activity breaks after every hour of continuous ICT use.
Simulink Modeling of DC-DC Converter with Solar Cell for Distributed Generating System

— This paper presents the modeling of high efficiency DC-DC converter for distributed generating system with the input voltage of 15V taken from PV cell. To maintain the power generation closer to the consumer, distributed generation is installed and in that distributed PV is one type. Here, that system is modeled and the DC-DC converter is plotted. Using the MATLAB/SIMULINK the is
Geometric modeling using high-order derivatives

Modeling of high quality surfaces is the core of geometric modeling. Such models are used in many computer-aided design and computer graphics applications. Irregular behavior of higher-order differential parameters of the surface (e.g. curvature variation) may lead to aesthetic or physical imperfections. In this work, we consider methods for constructing surfaces with high degree of smoothness. One direction is based on a manifold-based surface definition which ensures well-defined high-order derivatives that can be explicitly computed at any point. We extend previously proposed manifold-based construction to surfaces with piecewise-smooth boundary. We show that growth of derivative magnitudes with order is a general property of constructions with locally supported basis functions, derive a lower-bound for derivative growth and numerically study flexibility of resulting surfaces at arbitrary points. An alternative direction to using high-order surfaces is to define an approximation to high-order quantities for meshes, with high-order surface implicit. These approximations do not necessarily converge point-wise, but can nevertheless be successfully used to solve surface optimization problems. Even though fourth-order problems are commonly solved to obtain high-quality surfaces, in many cases, these formulations may lead to reflection line and curvature discontinuities. We consider two approaches to further increasing control over surface properties. The first approach is to consider data-dependent functionals leading to fourth-order problems but with explicit control over desired surface properties. Our fourth-order functional is based on reflection line behavior. Reflection lines are commonly used for surface interrogation and high-quality reflection line patterns are well-correlated with high-quality surface appearance. We demonstrate how these can be discretized and optimized accurately and efficiently on general meshes. A more direct approach is to consider a polyharmonic function on a mesh, such as the fourth-order biharmonic or the sixth-order triharmonic. These equations can be thought of as linearizations of curvature and curvature variation Euler-Lagrange equations respectively. We present a novel discretization for both problems based on the mixed finite element framework and a regularization technique for solving the resulting, highly ill-conditioned systems. We show that this method, compared to more ad-hoc discretizations, has higher degree of mesh independence and yields surfaces of better quality.
SimGenex: A System for Concisely Specifying Simulation of Biological Processes and Experimentation

—Computational models enable advances in understanding essential features of living systems. Such models can be used to simulate data that can also be measured empirically. Generating such simulated data is frequently a key step in developing and validating models. However, precisely specifying a complex procedure of simulating data is notoriously difﬁcult. The SimGenex language reported here is designed to simplify this task as it is applicable in research scenarios where several candidate models are considered, the mathematical details of regulatory interactions are only known partially or described semiquantitatively, the majority of kinetic parameters are not empirically measured, and a gene expression matrix is available as a basis of identifying the best model. SimGenex enables succinct and ﬂexible descriptions of simulating the biological processes and experimental procedures that are the building blocks of most current wet lab experimental protocols. It enables speciﬁcation of reproducibly executable workﬂows for validating computational models of biological systems, it facilitates pre-processing and transformation of data as it is frequently applied in gene expression data analysis and it provides support for comparing and discriminating alternative candidate models based on their ability to approximate the empirical dataset. The result of applying a SimGenex program to a computational model is a simulated dataset that can directly be compared to empirically measured omic data through the speciﬁcation of a distance measure which can be used to discriminate the best model among a number of candidates.
Domain CR9 of Low-Density Lipoprotein Receptor-Related Protein 1 (LRP1) Is Critical for Aggregated LDL-Induced Foam Cell Formation from Human Vascular Smooth Muscle Cells

Background : LRP1 plays a major role in foam cell formation from human vascular smooth muscle cells (hVSMC). Results : Antibodies generated against the C-terminal half of cluster II CR9 domain (Gly 1127 Cys 1140 ) efficiently prevented hVSMC-foam cell formation. Conclusion : CR9 is key for AgLDL binding and internalization. Significance : Our results open new avenues for treating vascular lipid deposition in atherosclerosis. ABSTRACT Low-density lipoprotein receptor-related protein (LRP1) mediates the internalization of aggregated LDL (AgLDL), which in turn increases the expression of LRP1 in human vascular smooth muscle cells (hVSMC). This positive feedback mechanism is thus highly efficient to promote the formation of hVSMC-foam cells, a crucial vascular component determining
-58-Effects of Inspiratory Muscle Training on Hand and Mobility Functions in Subacute Stroke

Objectives: To study the effects of inspiratory muscle training (IMT) on peripheral muscle functions in subacute stroke patients. Setting: Clinics of Neurology and Physical Medicine and Rehabilitation at Hasan Sadikin General Hospital, Bandung. Study design: Double blinded clinical trial. Subjects: Consecutive sampling of 32 subacute stroke patients were recruited into the study and 31 completed the study. Methods: Participants were divided into two groups of an intervention (n=15) and a control (n=16). Both groups received a conventional exercise and ambulatory program. The intervention group performed an 8-week home-based IMT program with intensity of 40% of PI-max (maximal inspiratory pressure) whereas the control group performed IMT program with intensity of 10% of PI-max. Primary outcomes indicating peripheral muscle functions were grip strength of the paretic side assessed with a hand grip dynamometer and mobility function assessed with a sit-to-stand test. Secondary outcome was inspiratory muscle strength measured as PI-max. Outcome measurements were done before and after the intervention ended. Results: After 8 weeks the grip strength of the paretic hand and the score of the sit-to-stand test increased signi ﬁ cantly in both groups but there were no differences between the two groups. However, the PI-max signi ﬁ cantly increased only in the intervention group ( p =0.000) and there was signi ﬁ cantly different between the two groups ( p =0.003). Conclusion: A home-based inspiratory muscle training was effective in increasing inspiratory muscle strength. However, it did not demon-strate any effect on peripheral muscle functions, grip strength and ability of sit-to-stand in subacute stroke patients.
The impact of anger on donations to victims

This article investigates if and when anger appeals (communications that elicit anger in people), can be used to increase donations to charity. In an experimental study the idea was tested that anger leads to higher charitable donations, under the condition that people can restore equity with that donation (i.e., restore the harm done to the victim). Results indeed show that when one’s donation serves a specific restorative function (i.e., compensates the suffering of women so that they can start a new life) as compared to a non-restorative function (i.e., offers help in special crisis centers for women, to alleviate their suffering and not worsen their situation), angry participants donated more to charity. This difference was absent when people did not experience anger. Furthermore, angry people donated more to the restorative charity than people not experiencing this emotion. The effect of anger on charitable donations occurred independently from people’s empathic concern. These results thus suggest that anger can act as an emotional appeal in soliciting charitable donations.
Fake Content Delivery Using Replacement Algorithm In Wireless Sensor Networks

: Security and Lifetime optimization are two conflicting design issues for multi-hop wireless sensor networks (WSNs) with non-replenishable energy resources. A novel secure and efficient Cost-Aware Secure Routing (CASER) protocol to deal with these two conflicting issues through two adjustable parameters: energy balance control (EBC) and probabilistic-based random walking. In the network topology given, energy consumption is disproportional to uniform energy deployment which reduces the lifetime of the sensor networks. To solve this problem, an efficient non-uniform energy deployment strategy used to optimize the lifetime and message delivery ratio under the same energy resource and security requirement. The theoretical analysis results demonstrate that the proposed CASER protocol can provide an excellent tradeoff between routing efficiency and energy balance and can significantly extend the lifetime of the sensor networks in all scenarios. And also it delivery some meaningless file which is we declared inside virtual buffer to the hacker.
Refinancing in the Australian Mortgage Market

This thesis examines the growth in home loan refinancing since 1991. We examine the causes of the growth in refinancing, test whether the abolition of mortgage stamp duty in some states caused an increase in refinancing, and investigate whether the growth in refinancing has caused home loan lending rates to move more closely with changes in the cost of bank funding. Our main findings are that the level of refinancing is influenced by the spread between the standard variable mortgage rate and the three-year fixed mortgage rate, and movements in house prices. We find no conclusive evidence that the abolition of stamp duty on refinanced mortgages caused a rise in activity. We also find that movements in the variable mortgage rate have become more responsive to changes in the marginal cost of funds, suggesting that risk sharing has become less important in the mortgage market. Section 1: Introduction Section 2: Literature Review 2.1: Introduction CONTENTS 2.2: Theories oflnterest Rate Determination 2.2.1: Adverse Selection 2.2.2: Switching Costs
An Admission Control Mechanism in a Distributed Multimedia System

The rate at which people watch video this day is very high, especially now that people were locked down as a result of Convid-19 pandemic. As many are streaming for educational training and knowledge acquisition, some are watching it just to relax and gain energy for another work. The thirst for video consumption by people, this day, seems to be voracious. Basically, streaming comes from multimedia server and there is possibility of it being overloaded. Admission control algorithm is therefore needed to prevent server overload. Different approaches have been proposed in the past to achieve admission control which can highly guarantee a quality of service (QoS) in distributed multimedia systems, yet, this paper propose a new method for admission control in distributed multimedia systems by using a logistic regression method on the processors’ busy values of a typical multicore server. The result of the proposed method shows 96% of accepted requests with 4% in rejected requests. The method was implement on Linux with kernel 4.0. 2 version.
for Drug Development Heart

be better to adapt to exercise phys-iological remodeling as compared to with adverse LV remodeling at baseline. Our study ﬁ ndings could have important implica-tions. The present study suggests that low ﬁ t participants with adverse LV remodeling, who are at a greater risk for nonresponse to exercise, may require alternative exercise training strategies (e.g., higher intensity and/or dose of exercise training) to improve ﬁ tness. Our study represents an important step in this direction with characterization of distinct cardiac phenotypes associated with heterogeneity in response to exercise training. Further studies are needed to characterize the underlying cardiovascular mechanisms and optimal treatment for the nonresponse to moderate-intensity exercise training.
Improving Travel Recommendation Accuracy using Fusion of Machine Learning Techniques

Data recommendation is a multi-processing task, which requires a set of operations ranging from input pre-processing, clustering, similarity analysis to prediction of data-trend. The trend prediction unit performs different kinds of calculations like classification, pattern analysis, error correction, etc. In order to develop a highly accurate recommendation system, the software designers have to accurately measure the performance of each of these algorithms and then identify the best fitting method that optimizes the accuracy of prediction. In our research, we many different combinations of these algorithms, and came up with a list of algorithms which may be best suited for obtaining higher level of prediction accuracy. These algorithms were later implemented, interfaced and integrated with each other in order to evaluate their performance. The performance of the proposed hybrid recommender is found to be 20% more effective than the existing state-of-the art recommenders. This paper also suggests improvement in the proposed system in order to further enhance the performance in terms of speed of operation and accuracy of recommendation.