Miracle-dz/UniFAR-FTUs huggingface dataset:
Regeneration and Phenotype That Promote Muscle Growth IL-10 Triggers Changes in Macrophage

We examined the function of IL-10 in regulating changes in macrophage phenotype during muscle growth and regeneration following injury. Our ﬁndings showed that the Th1 cytokine response in inﬂamed muscle is characterized by high levels of expression of CD68, CCL-2, TNF- a , and IL-6 at 1 d postinjury. During transition to the Th2 cytokine response, expression of those transcripts declined, whereas CD163, IL-10, IL-10R1, and arginase-1 increased. Ablation of IL-10 ampliﬁed the Th1 response at 1 d postinjury, causing increases in IL-6 and CCL2, while preventing a subsequent increase in CD163 and arginase-1. Reductions in muscle ﬁber damage that normally occurred between 1 and 4 d postinjury did not occur in IL-10 mutants. In addition, muscle regeneration and growth were greatly slowed by loss of IL-10. Furthermore, myogenin expression increased in IL-10 mutant muscle at 1 d postinjury, suggesting that the mutation ampliﬁed the transition from the proliferative to the early differentiation stages of myogenesis. In vitro assays showed that stimulation of muscle cells with IL-10 had no effect on cell proliferation or expression of MyoD or myogenin. However, coculturing muscle cells with macrophages activated with IL-10 to the M2 phenotype increased myoblast proliferation without affecting MyoD or myogenin expression, showing that M2 macrophages promote the early, proliferative stage of myogenesis. Collectively, these data show that IL-10 plays a central role in regulating the switch of muscle macrophages from a M1 to M2 phenotype in injured muscle in vivo, and this transition is necessary for normal growth and regeneration of muscle. The Journal of Immunology 2012, 189:
Differential Privacy via Group Shufﬂing

The past decade has seen data privacy emerge as a fundamental and pressing issue. Among the tools developed to tackle it, differential privacy has emerged as a central and principled framework, with speciﬁc variants capturing various threat models. In particular, the recently proposed shufﬂe model of differential privacy allows for promising tradeoffs between accuracy and privacy. However, the shufﬂe model may not be suitable in all situations, as it relies on a distributed setting where all users can coordinate and trust (or simulate) a joint shufﬂing algorithm. To address this, we introduce a new model, the group shufﬂe model, in which users are partitioned into several groups, each group having its own local shufﬂer. We investigate the privacy/accuracy tradeoffs in our model, by comparing it to both the shufﬂe and local models of privacy, which it some sense interpolates between. In addition to general relations between group shufﬂe, shufﬂe, and local privacy, we provide a detailed comparison of the cost and beneﬁt of the group shufﬂe model, by providing both upper and lower bounds for the speciﬁc task of binary summation.
Deteksi Penyakit Mata Pada Citra Fundus Menggunakan Convolutional Neural Network (CNN) Ocular Disease Detection on Fundus Images Using Convolutional Neural Network

In 2020, there was 1.1 billion people who have lost their sight worldwide. This number will continue to grow until it reaches 1.76 billion people by 2050. The main cause of blindness for children and adolescents is ocular disease, which can be done if detected and treated early. Therefore, in this study, we proposed a method based on convolutional neural network (CNN) to detect ocular disease in fundus images. The proposed method uses transfer learning method with MobileNetV2 network architecture as the base model. The proposed head model architecture, which consists of a global average pooling layer followed by 2 fully-connected layers, is able to provide the highest accuracy and best efficiency compared to other head model architectures. Experiments on a fundus image dataset consisting of 601 images with various ocular diseases show that the proposed method is able to provide good performance with an accuracy of 72%, precision of 72%, recall of 72%, and F1-score of 72%. The experimental results show that the proposed method provides higher accuracy and efficiency compared to other CNN architectures, such as ResNet50V2, InceptionV3, InceptionResNetV2, VGG16, and VGG19.
Returns to Cloud Computing Investments: The Role of Environmental Uncertainty

Although a substantial portion of IT spending has shifted to the cloud, empirical evidence on economic value of cloud computing is lacking. This study examines the effect of cloud computing on productivity and scrutinizes how its effect differs depending on environmental uncertainty. Using publicly available data on the product sales and the inter-industry purchase flows, we measure purchased cloud services in U.S. industries during 1997-2018 and distinguish between software-as-a-service (SaaS) and infrastructure-as-a-service (IaaS). Employing a production function approach, our findings suggest that cloud computing investments do not always lead to productivity gains, but its effect varies by the level of environmental uncertainty. Specifically, while cloud computing contributes to productivity under high environmental uncertainty, it may have an adverse effect under stable environments. Further, this positive impact under uncertain environments is found to be driven mainly by IaaS, rather than SaaS. This study provides important implications on cloud computing investment strategies.
Microencapsulation drug delivery system - an overview

Microencapsulation is a process in which a very tiny droplet of particle such as solid, liquid or even gas can be entrapped, coated or surrounded with a polymeric particle. There are different technique to encapsulate the material by chemical method which includes coacervation method, polymeric-polymeric incompatibility, and physical method which include air suspension method, pan coating, spray drying, and centrifugal extrusion. The main important material used in microencapsulation is core material (which is specified material to be coated) and coating material (which is capable of forming film). Since it is applicable in pharma industry, agriculture industry, food industry, construction industry. As it is better drug delivery system than conventional drug delivery system with minimum side effect and having targeted action.
Fingerprint enhancement using modified short-time fourier transform

In this paper, a Modified Short-time Fourier Transform (M-STFT) fingerprint enhancement technique for non-stationary ridges has been proposed. It improves the local section of image as the fingerprint ridges fade or change with the passage of time. Freely available data-base (FVC2002 DB3) was used to evaluate the method. To choose the appropriate process window, various experiments on a subset of database were performed. The proposed approach based on the use of Tukey window analyses the transient data more effectively compared with other windows. The non-stationary nature of images are more efficiently enhanced using Tukey window. This scheme not only promises better fingerprint enhancement but also results in lesser computational cost than the existing methods
A Stochastic Performance Model For Dense Vehicular Ad-Hoc Networks

Network level modeling of vehicular networks usually takes one of two paths. Either a mobility simulator is used to generate vehicular movement traces, combined with a network simulator to simulate packet transmissions. Or, simple stochastic assumptions, such as Poisson Point Processes and Manhattan Grids are imposed to allow analytical modeling. In this paper, we use the combination of mobility and network simulations to derive more accurate analytical models for vehicular ad-hoc networks in dense urban scenarios. Our results show that cars tend to group in clusters with approximately exponential geometric densities. Furthermore, we demonstrate that the process of interference in a dense network can be accurately modeled based on a linear function of the numbers of neighbors, as well as a Gamma distributed random process.
Start-Up Ecosystem (StUpEco): A Conceptual Framework and Empirical Research

Start-up development, success, and sustainability are affected by contextual factors that constitute a regional entrepreneurship ecosystem. Based on previous literature, we propose the conceptual framework Start-Up Ecosystem (StUpEco) that highlights the contextual drivers of a start-up business affected by the entrepreneurial ecosystem entities involved within the quadruple helix model. Furthermore, the proposed framework is tested according to the perceptions of Greek start-uppers through an empirical survey. According to our findings, the start-uppers’ motivation is explained mainly through opportunity rather than necessity. The study identifies government issues, such as tax incentives and acceleration of starting procedures, availability of funding opportunities, connectivity of stakeholders, entrepreneurship education, previous start-up experience, incubator support, as well as mentoring, as the most significant issues affecting the successful development of start-ups.
Relationships between greenhouse gas production and landscape position during short-term permafrost thaw under anaerobic conditions in the Lena Delta

Abstract. Soils in the permafrost region have acted as carbon sinks for thousands of years. As a result of global warming, permafrost soils are thawing and will potentially release greenhouse gases (GHGs) such as methane (CH4) and carbon dioxide (CO2). However, small-scale spatial heterogeneities of GHG production have been neglected in previous incubation studies. Here, we used an anaerobic incubation experiment to simulate permafrost thaw along a transect from upland Yedoma to the floodplain on Kurungnakh Island. Potential CO2 and CH4 production was measured during incubation of the active layer and permafrost soils at 4 and 20 ∘C, first for 60 d (approximate length of the growing season) and then continuing for 1 year. An assessment of methanogen abundance was performed in parallel for the first 60 d. Yedoma samples from upland and slope cores remained in a lag phase during the growing season simulation, while those located in the floodplain showed high production of CH4 (6.5×103 µg CH4-C g−1 C) and CO2 (6.9×103 µg CO2-C g−1 C) at 20 ∘C. The Yedoma samples from the permafrost layer started producing CH4 after 6 months of incubation. We conclude that landscape position is a key factor triggering CH4 production during the growing season time on Kurungnakh Island.
Curriculum Data Augmentation for Low-Resource Slides Summarization Anonymous ACL submission

Data augmentation is commonly used in train-001 ing in low-resource scenarios. However, there 002 are sometimes large discrepancy between dis-003 tributions of augmented data and target data. 004 How to bridge the gap between the augmented 005 and target data, especially when target data is 006 harder-to-learn? In this paper, we study im-007 proved data augmentation strategies in the sce-008 nario of scientiﬁc slides text summarization, 009 where we generate a textual summary based 010 on texts of presentation slides. Since slides are 011 messy and difﬁcult to understand by current 012 models, we introduce an easier form of data, 013 i.e., articles in natural language. The basic 014 idea is that we generate the transition data be-015 tween slides and articles, and all three of them 016 form a curriculum for neural models to learn 017 the distribution transition from article data to 018 slides data. We ﬁnd that our approach achieves 019 consistent improvements over different back-020 bone summarization models. The curriculum-021 oriented data augmentation method can gener-022 ate data that ﬁll the gap between the easy-to-023 obtain data and the low-resource task data. We 024 show that curriculum learning and data aug-025 mentation can be combined to help NLP mod-026 els learn from otherwise hard-to-learn data. 1 027
Reactive oxygen species, but not Ca 2 (cid:1) overloading, trigger pH-and mitochondrial permeability transition-dependent death of adult rat myocytes after ischemia-reperfusion

Reactive oxygen species, but not Ca 2 (cid:1) overloading, trigger pH- and mitochondrial permeability transition-dependent death of adult rat myocytes after ischemia-reperfusion. Am J Physiol Heart Circ Physiol 290: H2024–H2034, 2006. investigated the role of pH, reactive oxygen species (ROS), Ca 2 (cid:1) , and the mitochondrial permeability transition (MPT) in pH-dependent ischemia-reperfusion injury to adult rat myocytes. Myocytes were incubated in anoxic Krebs-Ringer-HEPES buffer at pH 6.2 for 3 h to simulate ischemia. To simulate reperfusion, myocytes were reoxygenated at pH 6.2 or 7.4 for 2 h. Some myocytes were treated with MPT blockers (cyclosporin A and N -methyl-4-isoleucine cyclosporin) and antioxidants (desferal, diphenylphenylene diamine, and 2-mercaptopropionyl glycine). Mitochondrial membrane potential, inner membrane permeabilization, and ROS formation were imaged with tetramethylrhodamine methyl ester, calcein, and chloromethyldichloroﬂuorescein diacetate, respectively. For Ca 2 (cid:1) imaging, myocytes were coloaded with rhod-2 and ﬂuo-4 to evaluate mitochondrial and cytosolic Ca 2 (cid:1) , respectively. After 10 min of reperfusion at pH 7.4, calcein redistributed across the mitochondrial inner membrane, an event preceded by mitochondrial ROS formation and accompanied by hypercontracture, mitochondrial depolarization, and then cell death. Acidotic reperfusion, antioxidants, and MPT blockers each prevented the MPT, depolarization, hyper-contraction, and cell killing. Antioxidants, but neither MPT blockers nor acidotic reperfusion, inhibited ROS formation after reperfusion.
Predicted formation and deposition of slag from lignite combustion on pulverized coal boilers

Lignite is the main source of energy used to generate electricity in Thailand. Slag in pulverized coal boilers is normally the main problem associated with combustion of this solid fuel. In this work, numerical simulation was applied to Mae Moh coal fired power plant. Prediction of ash melting points was used to identify possibility of slag formation. CFD simulation of the boilers’ wall temperatures and coal particle trajectories were used to predict and assess deposition potential of slag inside the boiler. It was found to have great potential to quantitatively and qualitatively predict and identify formation and deposition of slag in the boilers. Keywords—slag, pulverized coal combustion, ash deposition, CFD simulation
Desktop 3D Printer Material Properties and Dimensional Accuracy

Three dimensional (3D) printing is a rapidly expanding manufacturing method. Initially, 3D printing was used for prototyping but now this method is being employed to create functional final products. In recent years, desktop 3D printers have become commercially available to academics and hobbyists as a means of rapid component manufacturing. Although these desktop printers are able to facilitate reduced manufacturing times, material costs and labor costs; relatively little literature exists to quantify the physical properties of the printed material as well as the dimensional consistency of the printing processes. This paper evaluates the material properties and dimensional accuracy of a MakerBot Replicator II desktop 3D printer. A design of experiments (DOE) test protocol was applied to determine the effect of the following variables on the material properties of 3D printed part: layer height, percent infill and print orientation. DOE results suggest that percent infill has a significant effect on the longitudinal elastic modulus and ultimate strength of the test specimens whereas print orientation and layer thickness failed to achieve significance. Dimensional analysis of test specimens shows that the test specimen varied significantly (p<0.05) from the nominal print dimensions. Although desktop 3D printers are an attractive manufacturing option to quickly produce functional components, this study suggests
Single-Domain Antibodies as Therapeutic and Imaging Agents for the Treatment of CNS Diseases

Antibodies have become one of the most successful therapeutics for a number of oncology and inflammatory diseases. So far, central nervous system (CNS) indications have missed out on the antibody revolution, while they remain ‘hidden’ behind several hard to breach barriers. Among the various antibody modalities, single-domain antibodies (sdAbs) may hold the ‘key’ to unlocking the access of antibody therapies to CNS diseases. The unique structural features of sdAbs make them the smallest monomeric antibody fragments suitable for molecular targeting. These features are of particular importance when developing antibodies as modular building blocks for engineering CNS-targeting therapeutics and imaging agents. In this review, we first introduce the characteristic properties of sdAbs compared to traditional antibodies. We then present recent advances in the development of sdAbs as potential therapeutics across brain barriers, including their use for the delivery of biologics across the blood–brain and blood–cerebrospinal fluid (CSF) barriers, treatment of neurodegenerative diseases and molecular imaging of brain targets.
Deep-Bed Filtration Under Multiple Particle-Capture Mechanisms

This paper (SPE 98623) was accepted for presentation at the International Symposium and Exhibition on Formation Damage Control, Lafayette, Louisiana, 15–17 February 2006, and revised for publication. Original manuscript received for review 24 October 2005. Revised manuscript received for review 1 March 2009. Paper peer approved 21 March 2009. Summary Severe injectivity decline during seawater injection and producedwater reinjection is a serious problem in offshore waterflood projects. The permeability impairment occurs because of the capture of particles from injected water by the rock, both internally in the pores and externally in a filter cake. The reliable modeling-based prediction of injectivity decline is important for injected-watertreatment design and management (injection of seawater or produced water, water filtering, etc.). The classical deep-bed filtration model includes a single overall description of particle capture. During laboratory or field data interpretation using this model, it is usually assumed that several simultaneously occurring capture mechanisms are represented in the model by a single overall mechanism. The filtration coefficient, obtained by fitting the model to the laboratory or field data, represents the total kinetics of the particle capture. The purpose of this study is to justify this approach of using an aggregated single filtration coefficient. A multiple-retention deep-bed filtration model needs to describe several simultaneous capture mechanisms. The kinetics of the different capture mechanisms can differ from one another by several orders of magnitude. This greatly affects the particle propagation in natural reservoirs and the resulting formation damage. In this study, a model for deep-bed filtration taking into account multiple particle-retention mechanisms is discussed. It is proven that the multicapture model can be reduced to a single-capture-mechanism deep-bed filtration model. The method for determination of the capture kinetics for all individual capture processes from the breakthrough curve is discussed. As an example, the complete characterization of filtration with monolayer and multilayer deposition of iron oxide colloids is performed using particle-breakthrough curves from coreflooding.
Neurofeedback effects on cognitive performance in children with attention deficit

The objective of this research was to analyze the effects ofan intervention program through neurofeedback, on the cognitiveperformance in children with inattention indicators. Aquasi-experimental pretest-posttest study was used under apositivist epistemology, with a comparative analysis for eachevaluated cognitive process. A sample of 29 cases was intentionallyselected from a group of children and young adolescentswith low performance indicators from a TherapeuticCenter from Cucuta-Colombia. The neurofeedback programwas developed in 20 sessions with the purpose of increaselow-beta waves (12-16 Hz) and inhibition theta waves (4-7Hz). A comparative statistically analysis with five months ofdifference was carried out using Wilcoxon test, finding significantdifferences between the pretest and the posttest inneuropsychological tests of auditory-visual attention, encodingmemory and planning. The results are discussed with empiricalbackgrounds that have shown positive effects in thistype of interventions.
2 : 1 Spatial Resonance in Langmuir Circulation

Langmuir circulation in the upper layer of the ocean is studied as 2 : 1 spatial resonance problem with steady state-steady state modal interaction and O(2) symmetry. A center manifold reduction using asymptotic analysis results in a dynamical system with a structurally stable and attracting heteroclinic orbit in an invariant subspace of the center manifold. This heteroclinic orbit is used to illustrate the persistent switching between a two-roll state and a four-roll state in the crosswind plane. Lastly, a set of coupled PDEs are derived to study the Y junctions which mark transitions between these two states.
Coordinated alpha-crystallin B phosphorylation and desmin expression indicate adaptation and deadaptation to resistance exercise-induced loading in human skeletal muscle

S. Coordinated alpha-crystallin B phosphorylation and desmin expression indicate adaptation and deadaptation to resistance exercise-induced loading in human skeletal muscle. Am J Physiol Cell Physiol 319: muscle is a target of contraction-induced loading (CiL), leading to protein unfolding or cellular perturbations, respectively. While cytoskeletal desmin is re- sponsible for ongoing structural stabilization, in the immediate response to CiL, alpha-crystallin B (CRYAB) is phosphorylated at serine 59 ( p CRYAB S59 ) by P38, acutely protecting the cytoskeleton. To reveal adaptation and deadaptation of these myoﬁbrillar subsys- tems to CiL, we examined CRYAB, P38, and desmin regulation following resistance exercise at diverse time points of a chronic training period. Mechanosensitive JNK phosphorylation ( p JNK T183/ Y185 ) was determined to indicate the presence of mechanical compo- nents in CiL. Within 6 wk, subjects performed 13 resistance exercise bouts at the 8–12 repetition maximum, followed by 10 days detrain- ing and a ﬁnal 14th bout. Biopsies were taken at baseline and after the 1st, 3rd, 7th, 10th, 13th, and 14th bout. To assess whether potential desensitization to CiL can be mitigated, one group trained with progressive and a second with constant loading. As no group differ- ences were found, all subjects were combined for statistics. Total and phosphorylated P38 was not regulated over the time course. p CRYAB S59 and p JNK T183/Y185 strongly increased following the unaccustomed ﬁrst bout. This exercise-induced p CRYAB S59 / p JNK T183/Y185 increase disappeared with the 10th until 13th bout. As response to the detraining period, the 14th bout led to a renewed increase in p CRYAB S59 . Desmin content followed p CRYAB S59 inversely, i.e., was up- when p CRYAB S59 was downregulated and vice versa. In conclusion, the p CRYAB S59 response indicates increase and decrease in resistance to CiL, in which a reinforced desmin network could play an essential role by structurally stabilizing the cells.