Miracle-dz/UniFAR-FTUs huggingface dataset:
Introduction to the rugarch package . ( Version 1 . 3-1 ) Alexios Ghalanos

2 Model Specification 3 2.1 Univariate ARFIMAX Models . 4 2.2 Univariate GARCH Models . 5 2.2.1 The standard GARCH model (’sGARCH’) . 6 2.2.2 The integrated GARCH model (’iGARCH’) . 7 2.2.3 The exponential GARCH model . 7 2.2. 4 The GJR-GARCH model (’gjrGARCH’) . 7 2.2. 5 The asymmetric power ARCH model (’apARCH’) . 8 2.2. 6 The family GARCH model (’fGARCH’) . 9 2.2. 7 The Component sGARCH model (’csGARCH’) . 11 2.2. 8 The Multiplicative Component sGARCH model (’mcsGARCH’) . 12 2.2. 9 The realized GARCH model (’realGARCH’) . 13 2.3 Conditional Distributions . 15 2.3. 1 The Normal Distribution . 16 2.3. 2 The Student Distribution . 16 2.3. 3 The Generalized Error Distribution . 17 2.3. 4 Skewed Distributions by Inverse Scale Factors . 18 2.3. 5 The Generalized Hyperbolic Distribution and Sub-Families . 18 2.3. 6 The Generalized Hyperbolic Skew Student Distribution . 22 2.3. 7 Johnson’s Reparametrized SU Distribution . 22
Characterization of rocket and jet noise using near-field acoustic holography methods

As rockets and jets on military aircraft become more powerful, the noise they produce can lead to structural fatigue, hearing damage, and community disturbances. Noise-reduction technologies and sound radiation prediction require accurate characterization of the noise sources within rocket plumes and jets. Near-field acoustical holography techniques were used to visualize the sound field in the region of the jet exhaust on a high-performance military jet. Holography requires a coherent measurement of the sound field, but the size of the jet made a dense measurement over the entire source region impractical. Thus, a scan-based measurement was performed, after which a partial field decomposition (PFD) procedure was used to tie together incoherent scans. Then, the effective aperture of the measurement was extended utilizing the rigid ground reflection and a processing technique called analytic continuation. Finally, the three-dimensional sound field was reconstructed using statisticallyoptimized near-field acoustical holography (SONAH). This is the first time such a map has been obtained for a full-scale military aircraft. [Work supported by Air Force SBIR. ]
Could Q-Laguerre Equation Explain the Claimed Fractionation of the Principal Quantum Number for Hydrogen Atom?

2 Could q-Laguerre equation explain the claimed fractionation of the principal quantum number for hydrogen atom? 2 2.1 q-Laquerre equation for q = exp(iπ/m) . 3 2.2 Polynomial solutions of q-Laquerre equation . 4 2.3 Non-polynomial solutions of q-Laquerre equation . 4 2.4 Results of numerical calculations . 5 2.5 How to obtain nq) = 1/2 state? 7 2.6 Some comments . 9
Handbook of photochemistry

Photophysics of Organic Molecules in Solution Triplet-State Energies: Ordered Flash Photolysis: Designing Experiments Low Temperature Photophysics of Organic Molecules Ground-State Absorption Spectra ESR and ODMR Parameters of the Triplet State Diffusion-Controlled Rate Constants Rate Constants of Singlet-State Quenching Rate Constants of Triplet-State Quenching Ionization Energies, Electron Affinities, and Redox Potentials of Organic Compounds Bond Dissociation Energies Solvent Properties Chemical Actinometry Transmission Characteristics of Light Filters and Glasses Spectral Distribution of Photochemical Sources Spin-Orbit Coupling Fundamental Constants and Conversion Factors Hammett (T Constants Bibliography and Indexes References Compound Name Index Molecular Formula Index
Tailored treatment in mantle cell lymphoma

Mantle cell lymphoma (MCL) is a heterogeneous disease. For the last 10 years, the recommended frontline therapy has been high dose cytarabine and consolidation with autologous stem cell transplantation (ASCT) for young, otherwise healthy patients, and less intensive chemoimmunotherapy schemes for elderly patients. These therapies are very effective, with high clinical remission rates, but some patients are still refractory or relapse very early. However, less intensive therapy, sparing shortand long-term toxicity, may be sufficient for cases presenting with low tumor burden or more indolent disease. Many clinical and biological prognostic factors have been described in MCL, and patients can be stratified into different classes according to the risk of treatment failure. Nevertheless, being prognostic rather than predictive, these factors have not been used to tailor the therapeutic approach to individual patient risk thus far. However, given the most recent advances in translational research and the availability of many novel and effective drugs for MCL, the scenario is rapidly changing. In particular, the universally recognized dismal outcome associated with TP53 disruption and the availability of diagnostic facilities is prompting clinical researchers to design dedicated, tailored, clinical trials and to intensify the current therapeutic choices for high-risk patients. Moreover, gene expression profiling (GEP) using robust commercial platforms, such as those based on NanoString, may soon become clinical routine for treatment personalization in MCL. In this review, we cover these issues in detail, starting from the description of classical and novel biomarkers, discussing the current possibilities for tailoring treatment in real world clinical practice, and ending with some well-founded hypotheses that may concretize the concept of personalized medicine for MCL patients in the near future.
SUPPLEMENTARY INFORMATION The impact of whole genome duplications on the human gene regulatory networks

2 Robustness of the results 5 2.1 Degree distributions of the STRING and mirDIP networks . 5 2.2 Motif enrichment in the STRING network . 6 2.3 Motif enrichment in the mirDIP network . 7 2.4 Alternative null models for mixed-type motifs . 8
Analysis of prognostic and therapeutic values of drug resistance-related genes in the lung cancer microenvironment

Background The interaction between cancer cells and stromal cells has a significant contribution in tumorigenesis and tumor development, and plays an anti-tumor immune effect under the regulation of drug resistance-related genes, which affects the outcome of patients. Coiled-coil domain-containing protein 73 (CCDC73), DLG associated protein 1 (DLGAP1), dermatan sulfate epimerase like (DSEL), estrogen receptor 1 (ESR1), and SEC14-like 5 (SEC14L5) were identified as drug resistance-related genes in lung cancer. However, these genes have no clear value in lung cancer in terms of expression and prognosis. Methods ONCOMINE, GEPIA, UALCAN, cBioPortal, GeneMANIA, STRING, and TIMER were utilized in this study. Results The transcriptional expression level of DLGAP1 was remarkably decreased in lung cancer tissues, while the transcriptional level of SEC14L5 was significantly increased. The pathological stage of lung adenocarcinoma (LUAD) was tightly correlated with the expression of SEC14L5. The lung cancer patients with high transcription level of CCDC73 gene tended to have a good prognosis. The function of drug resistance-related genes is mainly related to RNA polymerization. Our results showed that infiltration of six types of immune cells (dendritic cells, macrophages, neutrophils, B cells, CD4+ T cells, and CD8+ T cells) significantly correlated with the expression of these drug resistance-related genes. Conclusions Novel screening for immunotherapy targets and prognostic biomarkers in lung cancer may draw inspiration from our results.
Assessing the Impact of the Loss Function and Encoder Architecture for Fire Aerial Images Segmentation Using Deeplabv3+

Wildfire early detection and prevention had become a priority. Detection using Internet of Things (IoT) sensors, however, is expensive in practical situations. The majority of present wildfire detection research focuses on segmentation and detection. The developed machine learning models deploy appropriate image processing techniques to enhance the detection outputs. As a result, the time necessary for data processing is drastically reduced, as the time required rises exponentially with the size of the captured pictures. In a real-time fire emergency, it is critical to notice the fire pixels and warn the firemen as soon as possible to handle the problem more quickly. The present study addresses the challenge mentioned above by implementing an on-site detection system that detects fire pixels in real-time in the given scenario. The proposed approach is accomplished using Deeplabv3+, a deep learning architecture that is an enhanced version of an existing model. However, present work fine-tuned the Deeplabv3 model through various experimental trials that have resulted in improved performance. Two public aerial datasets, the Corsican dataset and FLAME, and one private dataset, Firefront Gestosa, were used for experimental trials in this work with different backbones. To conclude, the selected model trained with ResNet-50 and Dice loss attains a global accuracy of 98.70%, a mean accuracy of 89.54%, a mean IoU 86.38%, a weighted IoU of 97.51%, and a mean BF score of 93.86%.
Growing through chaos in the Matsuyama map via subcritical flip and bistability

Recent publications reconsider the growth model proposed by Matsuyama ("Growing through cycles"), also called M-map, presenting new interpretation of the model as well as new results on its dynamic behaviors. The goal of the present paper is to give the rigorous proof of some results which were remaining open, related to the dynamics of this model. We prove that in the whole parameter range of interest an attracting 2-cycle appears via border collision bifurcation, we give the explicit flip bifurcation value of the 2-cycle proving that it is always of subcritical type. This leads to bistability related to coexistence of an attracting 2-cycle with attracting 4-cyclic chaotic intervals. We give the conditions related to the sharp transition to chaos, proving that the cascade of stable cycles of even periods cannot occur. The parameter range in which repelling cycles of odd period exist is further investigated, giving an explicit boundary, as well as its relation to the non existence of cycles of period three.
Zeros of random analytic functions

iii Acknowledgements v Introduction vii 1 Gaussian analytic functions 1 1.1 Complex Gaussian distribution . 1 1.2 Gaussian analytic functions . 4 2 Isometry-invariant zero sets 11 2.1 The complex plane C . 11 2.2 The sphere S2 . 14 2.3 The Hyperbolic Plane D . 18 2.4 The Paley Wiener space . 22 3 Distribution and intensity of zeros of a GAF 25 3.1 The Edelman Kostlan formula . 25 3.1.1 The Fock space in C . 34 3.1.2 The space of polynomials in S2 . 34 3.1. 3 The weighted Bergman space in D . 35 3.1. 4 The Paley Wiener space with NC(0, 1) random variables . 35 3.1. 5 The Paley Wiener space with NR(0, 1) random variables . 36 3.2 Calabi’s rigidity . 38 4 GAF computation 41 4.1 GAF in the finite space of polynomials endowed with the norm ‖ · ‖FL . 41 4.2 GAF in the finite space of polynomials endowed with the norm ‖ · ‖PL . 44 4.3 GAF in the finite space of polynomials endowed with the norm ‖ · ‖BL . 45 4.4 GAF in the finite Paley Wiener space . 48 5 Annex 51 5.1 Preliminary explanations and concepts . 51
Developing an Advanced Method for Kinship from Ancient DNA Data

The analysis of kinship from ancient DNA (aDNA) data has the potential to provide insight into social structures of prehistoric societies. Kinship analysis is gaining popularity as optimised wet-lab methods allow for studies with sample sizes on the level of whole cemeteries. However, the specifics of ancient DNA require different methods than what would be used for modern DNA. A common way is to use the sites that are identical-by-descent (IBD), however, detecting these is often a challenging task since it is not easy to determine whether a shared locus between two individuals is inherited from the ancestor or if another factor caused the similarity. Most methods used in the field are able to identify up to 2nd or 3rd degree relatives from aDNA data but do not distinguish between different types of relationship for the same degree, for instance not being able to differentiate between parent-offspring and full sibling-sibling relationship in first degree. The aDNA kinship methods often use either of window-based or single-site approaches, however, these two approaches have not been compared formally before in terms of effectivity and efficiency. In this work, READv2 is presented as a re-implementation of a popular kinship analysis method for aDNA studies with additional features such as accepting . bed files as input, which take up less space than the previous input type, plain-text . tped files. It is shown that the new version works more efficiently in terms of runtime. However, the memory requirements seem to be increased with the new implementation. Furthermore, a window-based approach is compared with the single-site approach of READv2, as well as varying window sizes, with benchmarked simulation data which contains approximately 700 individuals with known 1st degree, 2nd degree and 3rd degree relationships. According to the comparison, the sensitivity of the method does not vary between the approaches and different window sizes for high coverages. However, the single-site approach has been shown to be the superior one by a small margin for lower coverages. In addition to these, using the variance of non-shared alleles in windows along the genome has been used to implement a method to differentiate different first-degree relationships, parent-offspring and siblings. The method is tested with an independent dataset from the 1000 Genomes Project which shows that the proposed method is able to work with different datasets with varying sets of SNPs
relationship between hair cortisol concentrations and depressive symptoms in patients with coronary artery disease

Objective: Concentrations of cortisol in hair, a novel marker of longer-term cortisol status, were compared in depressed versus nondepressed patients with coronary artery disease (CAD). Methods: 20 mg hair samples of 3 cm length were collected from 121 patients attending a cardiac rehabilitation program, 34 of whom suffered from depressive symptoms. Results: Controlling for age, gender, coronary artery bypass grafting, history of depression, and time since most recent acute coronary syndrome, cortisol concentrations ( P = 0.162) did not predict severity of depression. Younger age ( P = 0.003) was a significant predictor of depressive symptoms. Perceived stress was not associated with long-term cortisol concentrations ( P = 0.161). Conclusions: Cortisol concentrations in hair do not predict depressive symptoms in CAD patients attending cardiac rehabilitation.
Genetic Evidence for Single-Strand Lesions Initiating Nbs1-Dependent Homologous Recombination in Diversification of Ig V in Chicken B Lymphocytes

Homologous recombination (HR) is initiated by DNA double-strand breaks (DSB). However, it remains unclear whether single-strand lesions also initiate HR in genomic DNA. Chicken B lymphocytes diversify their Immunoglobulin (Ig) V genes through HR (Ig gene conversion) and non-templated hypermutation. Both types of Ig V diversification are initiated by AID-dependent abasic-site formation. Abasic sites stall replication, resulting in the formation of single-stranded gaps. These gaps can be filled by error-prone DNA polymerases, resulting in hypermutation. However, it is unclear whether these single-strand gaps can also initiate Ig gene conversion without being first converted to DSBs. The Mre11-Rad50-Nbs1 (MRN) complex, which produces 3′ single-strand overhangs, promotes the initiation of DSB-induced HR in yeast. We show that a DT40 line expressing only a truncated form of Nbs1 (Nbs1p70) exhibits defective HR-dependent DSB repair, and a significant reduction in the rate—though not the fidelity—of Ig gene conversion. Interestingly, this defective gene conversion was restored to wild type levels by overproduction of Escherichia coli SbcB, a 3′ to 5′ single-strand–specific exonuclease, without affecting DSB repair. Conversely, overexpression of chicken Exo1 increased the efficiency of DSB-induced gene-targeting more than 10-fold, with no effect on Ig gene conversion. These results suggest that Ig gene conversion may be initiated by single-strand gaps rather than by DSBs, and, like SbcB, the MRN complex in DT40 may convert AID-induced lesions into single-strand gaps suitable for triggering HR. In summary, Ig gene conversion and hypermutation may share a common substrate—single-stranded gaps. Genetic analysis of the two types of Ig V diversification in DT40 provides a unique opportunity to gain insight into the molecular mechanisms underlying the filling of gaps that arise as a consequence of replication blocks at abasic sites, by HR and error-prone polymerases.
zkLedger: Privacy-Preserving Auditing for Distributed Ledgers

Distributed ledgers (e.g. blockchains) enable financial institutions to efficiently reconcile cross-organization transactions. For example, banks might use a distributed ledger as a settlement log for digital assets. Unfortunately, these ledgers are either entirely public to all participants, revealing sensitive strategy and trading information, or are private but do not support third-party auditing without revealing the contents of transactions to the auditor. Auditing and financial oversight are critical to proving institutions are complying with regulation. This paper presents zkLedger, the first system to protect ledger participants’ privacy and provide fast, provably correct auditing. Banks create digital asset transactions that are visible only to the organizations party to the transaction, but are publicly verifiable. An auditor sends queries to banks, for example “What is the outstanding amount of a certain digital asset on your balance sheet? ” and gets a response and cryptographic assurance that the response is correct. zkLedger has two important benefits over previous work. First, zkLedger provides fast, rich auditing with a new proof scheme using Schnorr-type noninteractive zero-knowledge proofs. Unlike zk-SNARKs, our techniques do not require trusted setup and only rely on widely-used cryptographic assumptions. Second, zkLedger provides completeness; it uses a columnar ledger construction so that banks cannot hide transactions from the auditor, and participants can use rolling caches to produce and verify answers quickly. We implement a distributed version of zkLedger that can produce provablycorrect answers to auditor queries on a ledger with a hundred thousand transactions in less than 10 milliseconds.
The Effect of Aquatic Exercise on the Peak Torque and Stability of Knee Joints of Elderly Women

Purpose) The purpose of this study was to examine the effect of aquatic exercise using Taekwondo Poomsae motions on the peak torque and stability of elderly women's knee joints. (Subjects) The study subjects were conducted with 23 elderly women who were divided into an Aquatic Exercise Group (AEG, n=12) and a Control Group (CG, n=11). (Methods) The knee joint peak torque was assessed using an ISOMED 2000 (D&R GmbH, Germany) and the stability was analyzed using a Balance System SD (BIODEX, U.S.A). (Results) Based on the results of the analysis of changes in knee joint peak torque and stability, the AEG showed significant improvement in all items of knee joint peak torque (RFF, RFE, LFF, LFE) and stability (O, A/P, M/L) after the intervention compared to before the intervention, while the CG did not show any significant changes. (Conclusion) Aquatic exercises using Taekwondo Poomsae motions can be utilized as a new exercise program to help reinforce
Towards Adapting Information Graphics to Individual Users to Support Recognizing Intended Messages

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Patient's Manual for CBASP

I. The Chronically Depressed Patient 1. Introduction to the CBASP Manual 2. Two Types of Chronic Depression Early-Onset Chronic Depression Late-Onset Chronic Depression 3. Common Problems of the Chronically Depressed Patient The Global Thinking Approach to Coping The "Nothing I Do Matters" Defeatist Approach to Coping Consequences for Global/Defeatist Thinking Goals of Your Treatment II. An Introduction to CBASP Techniques 4. Situational Analysis Dealing with One Problem at a Time Two Case Examples Case 1: Mary Case 2: Ralph 5. The Interpersonal Discrimination Exercise The Early Life of Chronically Depressed Patients Session Two Preparations for Doing IDE Work Significant-Other History Constructing the Transference Hypotheses Treating Interpersonal Hot Spots with the IDE Case 1 (Mary) Case 2 (Ralph) Conclusion
Hard Work: Remaking the American Labor Movement

List of Illustrations Preface 1. Why Labor Matters: The Underside of the "American Model" 2. An Exceptionally Hostile Terrain 3. Bureaucrats, "Strongmen," Militants, and Intellectuals 4. Practices and Possibilities of a Social Movement Unionism 5. Two Futures Notes Works Cited Index
As time goes by: Stakeholder opinions on the implementation and use of a virtual patient simulation system

Background: Stakeholder opinions on the implementation of a particular virtual patient application might prove important for decision-making and implementation efforts in general. This study aimed to capitalize on experiences originated from two post-implementation settings of Web-based Simulation of Patients (Web-SP). Method: We conducted a cross-sectional survey of stakeholder opinions (39 students, teachers, course directors, and university leaders) on the implementation and use of Web-SP in Colombia and Sweden, using a mixed method approach. Results: The respondents did not show equal preference in rating the ranking of the order of importance included in the variables (Friedman's Chi square: 26.5 to 115.1, df = 6, p < 0.001, Kendall's coefficient of concordance ranging from 0.11 to 0.50). The answers provided as free comments supported the statistical findings on the importance of end-user customization, need for authenticity in software design, and use of virtual patient simulations in a curricular context, for clinical reasoning development. Conclusions: Virtual Patient design should allow extensive editing, support case authenticity and enhance clinical reasoning abilities, in an effort for ensuring accountability and sustainable development of the field.
Simultaneous Measurement of Denitrification and Nitrogen Fixation Using Isotope Pairing with Membrane Inlet Mass Spectrometry Analysis

ABSTRACT A method for estimating denitrification and nitrogen fixation simultaneously in coastal sediments was developed. An isotope-pairing technique was applied to dissolved gas measurements with a membrane inlet mass spectrometer (MIMS). The relative fluxes of three N2 gas species (28N2,29N2, and 30N2) were monitored during incubation experiments after the addition of15NO3−. Formulas were developed to estimate the production (denitrification) and consumption (N2 fixation) of N2 gas from the fluxes of the different isotopic forms of N2. Proportions of the three isotopic forms produced from15NO3− and14NO3− agreed with expectations in a sediment slurry incubation experiment designed to optimize conditions for denitrification. Nitrogen fixation rates from an algal mat measured with intact sediment cores ranged from 32 to 390 μg-atoms of N m−2 h−1. They were enhanced by light and organic matter enrichment. In this environment of high nitrogen fixation, low N2 production rates due to denitrification could be separated from high N2 consumption rates due to nitrogen fixation. Denitrification and nitrogen fixation rates were estimated in April 2000 on sediments from a Texas sea grass bed (Laguna Madre). Denitrification rates (average, 20 μg-atoms of N m−2 h−1) were lower than nitrogen fixation rates (average, 60 μg-atoms of N m−2 h−1). The developed method benefits from simple and accurate dissolved-gas measurement by the MIMS system. By adding the N2 isotope capability, it was possible to do isotope-pairing experiments with the MIMS system.