Miracle-dz/UniFAR-FTUs huggingface dataset:
Gauge/Gravity Duality: Foundations and Applications

Gauge/gravity duality creates new links between quantum theory and gravity. It has led to new concepts in mathematics and physics, and provides new tools to solve problems in many areas of theoretical physics. This book is the first textbook on this important topic, enabling graduate students and researchers in string theory and particle, nuclear and condensed matter physics to get acquainted with the subject. Focusing on the fundamental aspects as well as on the applications, this textbook guides readers through a thorough explanation of the central concepts of gauge/gravity duality. For the AdS/CFT correspondence, it explains in detail how string theory provides the conjectured map. Generalisations to less symmetric cases of gauge/gravity duality and their applications are then presented, in particular to finite temperature and density, hydrodynamics, QCD-like theories, the quark-gluon plasma and condensed matter systems. The textbook features a large number of exercises, with solutions available online at www.cambridge. org/9781107010345.
Advanced glycation end products (AGEs) downregulate the miR-4429/PTEN axis to promote apoptosis of fibroblasts in pelvic organ prolapse

Background Pelvic organ prolapse (POP) is a common degenerative disease among females. We previously reported that advanced glycation end products (AGEs), compounds derived from nonenzymatic glycoxidation reactions, accumulated in the human vaginal wall and impaired the function of fibroblasts in the pathogenesis of POP. This study investigated the apoptosis induced by AGEs in human uterosacral ligament fibroblasts and the underlying mechanism. Methods Human uterosacral ligament fibroblasts were cultured and identified. Quantitative real-time polymerase chain reaction (qRT-PCR) analysis was performed to identify the expression of miR-4429, phosphatase and tensin homolog (PTEN), and caspase-3. Flow cytometric analysis was applied to detect the apoptosis rate of fibroblasts. Dual-luciferase reporter assay was performed to verify the relationship between miR-4429 and PTEN. The overexpression of miR-4429 and the inhibition of PTEN were achieved by cell transfections. Western blot analysis was used to detect the protein levels of PTEN, phosphoinositide 3-kinase (PI3K), and protein kinase B (Akt). Results The AGEs promoted fibroblast apoptosis both in the POP and the non-POP groups. The expression of PTEN increased in fibroblasts from the POP group or fibroblasts treated with AGEs. It was confirmed that miR-4429 interacted with PTEN messenger RNA (mRNA), and the expression level of miR-4429 was reduced in fibroblasts from the POP group or fibroblasts treated with AGEs. Further, overexpression of miR-4429 alleviated increased PTEN expression and fibroblast apoptosis induced by AGEs. Similarly, inhibition of PTEN expression alleviated increased fibroblast apoptosis induced by AGEs. In addition, the protein expressions of PI3K and phosphorylated Akt were reduced in fibroblasts exposed to AGEs. Conclusions We proposed that AGEs induced fibroblast apoptosis by regulating the miR-4429/PTEN/PI3K/Akt pathway in POP. Our results revealed a novel mechanism by which AGEs contributed to the molecular pathological alteration in POP.
On relationships between the Lyapunov spectrum and the Morse spectrum

We consider dynamical systems on manifolds and explore the relationship between the Lyapunov and the Morse spectra. The concept of Morse spectrum is based on a study of the exponential growth rates associated with the t — T chains in the chain recurrent components of the flow on the projective bundle. It is known that the Morse spectrum contains the Lyapunov spectrum and the Morse spectrum is a union of closed intervals whose boundary points are Lyapunov exponents. Here we present a treatment for the case of a flow on a two dimensional compact manifold under the assumption that the chain recurrent components coincide with the limit sets. For this case we investigate the equality of the two spectra and provide methods to calculate them in practice. For planar flows there are only three possible types of nonwandering sets: fixed points, periodic orbits and cycles. We consider the case where these are isolated chain recurrent components. For these three types of sets we perform a case by case study by first linearizing the system over the solutions and then by computing the Lyapunov and the Morse spectra. The Lyapunov spectrum over a fixed point consists of the real parts of the eigenvalues of the Jacobian matrix of partial derivatives. For periodic orbit, they are the characteristic exponents. For a cycle we prove that the Lyapunov spectrum consists of the Lyapunov exponents for the fixed points in the cycle. Belgrade's theorem gives a relationship between the chain recurrent components in the base and the chain recurrent components for the flow in the projective bundle. We use this theorem to find Morse spectrum. We prove that for an isolated fixed point, a connected set of fixed points and a periodic orbit the Lyapunov and the Morse spectra coincide. For a
Accelerate bit manipulation in XiangShan processer using RISC-V B extension and instruction fusion

In the field of high-performance computing, some application scenarios make extensive use of bit manipulation. RISC-V foundation issues B extension to reduce the number of instructions during the static compilation. But this extension does not cover the more frequent operations fully. Instruction fusion technology can fuse multiple instructions into one instruction at the decode stage to dynamically reduce the number of instructions. Therefore, this technology can supplement RISC-V B extension uncovered instruction, enhancing the processor’s capabilities for bit manipulation. This paper implements the RISC-V B extension 1.0 version on the Xiangshan processor. For accelerating more bit manipulation, we profiled general benchmarks by the simulator, proposed ten new instructions fusion targets, and implemented a fusion decode unit. Finally, we use Coremark and SPEC CPU 2006 integer to evaluate the performance. The Coremark results show that dynamic instructions reduce by 18.14%, and the performance improves by 12.09%.
Magneto-electronic transport theory in ferromagnets above the Curie temperature and in semiconductors

Quantitative differences of Lagrange multipliers between standard Fermi-Dirac statistics (FDS) and Ionization energy ($E_I$) based FDS (iFDS) are analyzed in detail to obtain reasonably accurate interpretations without violating the standard FDS. The resistivity and Hall-resistance models in 1D, 2D and 3D are also derived to illustrate the transport phenomena in semiconducting manganites. It is shown via calculation that the charge carriers in these materials seem to be strongly correlated in term of electron-ion attraction or simply, fermions in those materials are somewhat gapped due to Coulomb attraction. This Coulomb attraction naturally captures the polaronic effect in manganites. $E_I$ is found to be the only essential parameter that predicts $\rho(T,doping,pressure,magnetic field)$ quite accurately. However, this model as will be pointed out, is not suitable for metals with free-electrons and strong electron-phonon scattering. It is to be noted that iFDS and $\rho(T,doping,pressure,magnetic field)$ model are only valid in the paramagnetic region of ferromagnetic manganites and other doped-semiconductors. Recent X-ray photoemission spectroscopy (XPS) studies have indicated that there exists a critical crossover from Mn(2+) to Mn(3+) depending upon Mn's concentrations in (Ga(1-x)Mnx)As diluted magnetic semiconductors (DMS). Such phenomenon occuring at certain critical concentration directly point towards the applicability of $E_I$ based Fermi-liquid (iFLT). As such, iFDS is also discussed with respect to DMS above Curie temperature.
Degenerate transition pathways for screw dislocations: implications for migration

In body-centred-cubic (bcc) metals migrating 1/2 screw dislocations experience a periodic energy landscape with a triangular symmetry. Atomistic simulations, such as those performed using the nudged-elastic-band (NEB) method, generally predict a transition-pathway energy-barrier with a double-hump; contradicting Ab Initio findings. Examining the trajectories predicted by NEB for a particle in a Peierls energy landscape representative of that obtained for a screw dislocation, reveals an unphysical anomaly caused by the occurrence of monkey saddles in the landscape. The implications for motion of screws with and without stress are discussed.
A Study of Texture Classification Using Spectral Features

Abstract : Prior spectral feature study was not successful because of inaccuracy in 2-D spectral estimation. In this report, a generalization of Lim-Malik method is used to accurately estimate the ring and wedge spectral features for classification of textural images with a typical performance of over 80 percent correct classification for six texture classes. The results compare favorably with other texture features but require less computation using iterative algorithm. (Author)
Hairy Root Cultures as a Source of Polyphenolic Antioxidants: Flavonoids, Stilbenoids and Hydrolyzable Tannins

Due to their chemical properties and biological activity, antioxidants of plant origin have gained interest as valuable components of the human diet, potential food preservatives and additives, ingredients of cosmetics and factors implicated in tolerance mechanisms against environmental stress. Plant polyphenols are the most prominent and extensively studied, albeit not only group of, secondary plant (specialized) metabolites manifesting antioxidative activity. Because of their potential economic importance, the productive and renewable sources of the compounds are desirable. Over thirty years of research on hairy root cultures, as both producers of secondary plant metabolites and experimental systems to investigate plant biosynthetic pathways, brought about several spectacular achievements. The present review focuses on the Rhizobium rhizogenes-transformed roots that either may be efficient sources of plant-derived antioxidants or were used to elucidate some regulatory mechanisms responsible for the enhanced accumulation of antioxidants in plant tissues.
Regulation of Interleukin-36γ/IL-36R Signaling Axis by PIN1 in Epithelial Cell Transformation and Breast Tumorigenesis

Simple Summary Members of the interleukin (IL)-1 cytokine family exhibit dual functions in the regulation of inflammation and cancer. Recent studies have shown the critical role of IL-36γ, the newly identified IL-1 family member, in the regulation of cellular processes implicated in the progression of cancer. Therefore, the underlying mechanism of IL-36γ in tumor development is of considerable interest. Here, we identified the pivotal role of IL-36γ in the proliferation of breast cancer cells. Consistently, IL-36γ was found to promote epithelial cell transformation via the activation of c-Fos, c-Jun, and AP-1 transcription factors, followed by the IL36R-mediated MEK/ERK and JNK/c-Jun cascades. Furthermore, our findings demonstrate the critical role of PIN1 in the regulation of IL-36γ-induced mammary gland tumorigenesis. Abstract Given the increasing recognition of the relationship between IL-1 cytokines, inflammation, and cancer, the significance of distinct members of the IL-1 cytokine family in the etiology of cancer has been widely researched. In the present study, we investigated the underlying mechanism of the IL-36γ/IL-36R axis during breast cancer progression, which has not yet been elucidated. Initially, we determined the effects of IL-36γ on the proliferation and epithelial cell transformation of JB6 Cl41 mouse epidermal and MCF7 human breast cancer cells using BrdU incorporation and anchorage-independent growth assays. We found that treatment with IL-36γ increased the proliferation and colony formation of JB6 Cl41 and MCF7 cells. Analysis of the mechanism underlying the neoplastic cell transformation revealed that IL-36γ induced IL-36R-mediated phosphorylation of MEK1/2, ERK1/2, JNK1/2, and c-Jun, resulting in increased c-Fos, c-Jun, and AP-1 activities in JB6 Cl41 and MCF7 cells. Furthermore, the IL-36γ-induced tumorigenic capacity of MCF7 cells was considerably enhanced by PIN1, following MEK/ERK and JNK/c-Jun signaling. Interestingly, blocking PIN1 activity using juglone suppressed the IL-36γ-induced increase in the anchorage-independent growth of 4T1 metastatic mouse breast cancer cells. Finally, in a syngeneic mouse model, IL-36γ-induced tumor growth in the breast mammary gland was significantly inhibited following PIN1 knockout.
MS-SRALAT: Multi-granularity SubStructure-aware Representation Learning Algorithm for Time-series

Time-series representation is essential in many data mining algorithms, such as clustering, classification, motif discovery, which have been used to discover knowledge from the time-series data. In this paper, we propose an algorithm to learn the semantic representation of a symbol sequence which is generated corresponding to a time-series by an approximation algorithm that can capture the structure of original data. However, the granularity of structure (coarse-to fine-grained) approximated by such an algorithm is defined by a parameter which affects the quality of resulting representation, and therefore impacts the performance of its subsequent tasks. We then propose a multi-granularity substructure-aware representation learning algorithm for time-series (MS-SRALAT) which is an ensemble model that incorporates the trained models with different granularity to produce more robust representations. The resulted experiments on the benchmark datasets showed the superiority of MS-SRALAT over single-granularity learning models, and comparable performances compared to the exact baseline methods while suggesting good scalability for the similar search task.
Factors That Influence the Behavioural Intention to Use E-Payments in Indonesia

This study aims to investigate the factors that influence the intention to use electronic payment in Indonesia. In this study eights variables were identified as influence factors, they are perceived usefulness, perceived ease of use, consumer’s perception, enjoyment, trust, social influence, perceived security, and attitude toward behaviour. Based on data from 403 respondents collected through online questionnaire which was then analysed by Lisrel 8.8, it was found that six of the eight variables, namely perceived ease of use, enjoyment, trust, social influence, perceived security, and attitude toward behaviour have significant relationship with the behavioural intention to use e-payment system. Furthermore, this study also found that the behavioural intention significantly leads to the e-payment adoption and e-payment adoption also significantly influences the continuance intention to use e-payment
ANALYSIS OF THE INFLUENCE OF KNOWLEDGE, PLEASURE, ON CUSTOMER BEHAVIORAL INTENTION IN USING MOBILE BANKING WITH ATTITUDES AS INTERVENING VARIABLES IN JAMBI PROVINCE

This study aims to test and investigate the direct and indirect influence of knowledge, pleasure on attitudes, regarding mobile banking and Behavioral Intention (intention) to use Jambi mobile banking services. This research uses survey and verifiability methods. The sample used 400 units. Analyze the data using Path Analisys. The results showed that knowledge, pleasure had a direct and significant effect on attitudes; knowledge, pleasure and direct and significant attitudes towards Behavioral Intention; knowledge, pleasure have an indirect and significant effect on Behavioral Intention through attitudes; The results of the study recommend that management in the future needs to improve and maintain customer knowledge, pleasure, attitude, and customer in using mobile banking by means of direct or indirect education through multi-media.
Theory and practice of error control codes

To understand the theoretical framework upon which error-control codes are built and then Algebraic Codes for Data Transmission By Richard E. Blahut. Hamid Jafarkhani, “Space-Time Coding: Theory and Practice”, Cambridge. Textbook, Richard E. Blahut, Algebraic Codes for Data Transmission. Bibliography Peter Sweeney, Error Control Coding: From Theory to Practice Juergen. 2Automatic Control Laboratory, ETH Zurich, Switzerland several examples to illustrate the performance of the approximation scheme in practice. Information theory says that there exists operational quantities called channel (9) Richard E. Blahut, “Computation of channel capacity and rate-distortion functions,” IEEE.
Analysis and Design of Single-Ended Resonant Converter for Wireless Power Transfer Systems

Single-ended resonant converters such as Class-E inverters have been widely considered as a potential topology for small- and medium-power wireless power transfer (WPT) applications, which feature compact circuits, low switching losses, and cost benefits, as they only use a low-side switch with a simple gate driver. However, there remains a practical challenge in the design of voltage stress, efficiency, and power density. In this paper, a single-ended resonant converter with a primary parallel resonant-matching network is investigated to absorb the bulky input-choke inductors of the Class-E inverters into the coil inductance. The analytical expressions for all the converter parameters are derived based on time-domain resonant waveforms, including: (1) analysis of critical zero-voltage switching (ZVS) conditions and (2) power transfer capabilities under the given maximum switch voltage stress. Furthermore, this paper elaborates on the design methodology of the proposed single-ended resonant converters, and an optimal operating point is chosen to ensure soft-switching operation and rated power. Finally, the accuracy of the proposed model is verified by simulation and experimental results.
Novel computational methods for stochastic design optimization of high-dimensional complex systems

The primary objective of this study is to develop new computational methods for robust design optimization (RDO) and reliability-based design optimization (RBDO) of high-dimensional, complex engineering systems. Four major research directions, all anchored in polynomial dimensional decomposition (PDD), have been defined to meet the objective. They involve: (1) development of new sensitivity analysis methods for RDO and RBDO; (2) development of novel optimization methods for solving RDO problems; (3) development of novel optimization methods for solving RBDO problems; and (4) development of a novel scheme and formulation to solve stochastic design optimization problems with both distributional and structural design parameters. The major achievements are as follows. Firstly, three new computational methods were developed for calculating design sensitivities of statistical moments and reliability of high-dimensional complex systems subject to random inputs. The first method represents a novel integration of PDD of a multivariate stochastic response function and score functions, leading to analytical expressions of design sensitivities of the first two moments. The second and third methods, relevant to probability distribution or reliability analysis, exploit two distinct combinations built on PDD: the PDD-SPA method, entailing the saddlepoint approximation (SPA) and score functions; and the PDD-MCS method, utilizing the embedded Monte Carlo simulation (MCS) of the PDD approximation and score functions. For all three methods devel-
A generic approach to the definition of low-level components for multi-architecture binary analysis

Cette these propose une methode permettant la description des jeux d'instructions des architectures binaires suivant le formalisme des grammaires. Cette approche permet de simplifier la mise en oeuvre des encodeurs et decodeurs pour les nouvelles architectures et leurs mises a jours ulterieures. Cette theorie est ensuite validee par la mise en oeuvre d'un desassembleur base sur l'analyseur syntaxique genere. Nous montrons que ce desassembleur repond aux besoins des outils d'analyse en permettant le support d'architectures multiples et en presentant les resultats sous un format unifie. Nous presentons ensuite une application des resultats du desassemblage sous forme d'un outil de reecriture binaire. Cet outil utilise un assembleur base sur l'encodeur genere depuis la representation de la grammaire et permet d'effectuer des operations de patch bas niveau sur les fichiers binaires
Temporal Changes in Extracellular Vesicle Hemostatic Protein Composition Predict Favourable Left Ventricular Remodeling after Acute Myocardial Infarction

The subset of plasma extracellular vesicles (EVs) that coprecipitate with low-density lipoprotein (LDL-EVs) carry coagulation and fibrinolysis pathway proteins as cargo. We investigated the association between LDL-EV hemostatic/fibrinolysis protein ratios and post-acute myocardial infarction (post-AMI) left ventricular (LV) remodeling which precedes heart failure. Protein concentrations of von Willebrand factor (VWF), SerpinC1 and plasminogen were determined in LDL-EVs extracted from plasma samples obtained at baseline (within 72 h post-AMI), 1 month and 6 months post-AMI from 198 patients. Patients were categorized as exhibiting adverse (n = 98) or reverse (n = 100) LV remodeling based on changes in LV end-systolic volume (increased or decreased ≥15) over a 6-month period. Multiple level longitudinal data analysis with structural equation (ML-SEM) model was used to assess predictive value for LV remodeling independent of baseline differences. At baseline, protein levels of VWF, SerpinC1 and plasminogen in LDL-EVs did not differ between patients with adverse versus reverse LV remodeling. At 1 month post-AMI, protein levels of VWF and SerpinC1 decreased whilst plasminogen increased in patients with adverse LV remodeling. In contrast, VWF and plasminogen decreased whilst SerpinC1 remained unchanged in patients with reverse LV remodeling. Overall, compared with patients with adverse LV remodeling, higher levels of SerpinC1 and VWF but lower levels of plasminogen resulted in higher ratios of VWF:Plasminogen and SerpinC1:Plasminogen at both 1 month and 6 months post-AMI in patients with reverse LV remodeling. More importantly, ratios VWF:Plasminogen (AUC = 0.674) and SerpinC1:Plasminogen (AUC = 0.712) displayed markedly better prognostic power than NT-proBNP (AUC = 0.384), troponin-I (AUC = 0.467) or troponin-T (AUC = 0.389) (p < 0.001) to predict reverse LV remodeling post-AMI. Temporal changes in the ratios of coagulation to fibrinolysis pathway proteins in LDL-EVs outperform current standard plasma biomarkers in predicting post-AMI reverse LV remodeling. Our findings may provide clinical cues to uncover the cellular mechanisms underpinning post-AMI reverse LV remodeling.