Miracle-dz/UniFAR-FTUs huggingface dataset:
Nonlinear Dynamic Response of Ropeway Roller Batteries via an Asymptotic Approach

The nonlinear dynamic features of compression roller batteries were investigated together with their nonlinear response to primary resonance excitation and to internal interactions between modes. Starting from a parametric nonlinear model based on a previously developed Lagrangian formulation, asymptotic treatment of the equations of motion was first performed to characterize the nonlinearity of the lowest nonlinear normal modes of the system. They were found to be characterized by a softening nonlinearity associated with the stiffness terms. Subsequently, a direct time integration of the equations of motion was performed to compute the frequency response curves (FRCs) when the system is subjected to direct harmonic excitations causing the primary resonance of the lowest skew-symmetric mode shape. The method of multiple scales was then employed to study the bifurcation behavior and deliver closed-form expressions of the FRCs and of the loci of the fold bifurcation points, which provide the stability regions of the system. Furthermore, conditions for the onset of internal resonances between the lowest roller battery modes were found, and a 2:1 resonance between the third and first modes of the system was investigated in the case of harmonic excitation having a frequency close to the first mode and the third mode, respectively.
MAKING INTELLECTUAL ROOM FOR PERSONA STUDIES: A NEW CONSCIOUSNESS AND A SHIFTED PERSPECTIVE

It is an enormously difficult—and perhaps impossible, but ultimately important—task to comprehensively define the contemporary moment through a particular concept. This introduction and this journal make the claim that both in a pervasive way and to a pandemic extent, there is enormous activity and energy in the production, construction, and exhibition of personas. Something quite extraordinary has shifted over the last twenty years that has led to this intensive focus on constructing strategic masks of identity. The catalyst is the development of online culture and its invocation to personalize the expression of a public self—essentially a persona—regularly and incessantly. This culture of producing and monitoring our public selves is the focus of this journal as online culture blends with everyday culture and leads to an insistent proliferation of personas for both presentation and for strategic purposes in order to manage very new notions of value and reputation. The task of investigating persona is complex, and is dependent on connections and intersections across an array of disciplines. This journal and the field of Persona Studies is designed to serve as a site for this essential work of comprehending, analysing, and critiquing persona, and to allow disciplines to intersect, exchange ideas, and debate the play of persona historically and in contemporary culture.
On the Optimal Mechanical Properties of Hierarchical Biomaterials

Nature• favors hierarchical structures; examples include almost all biosystems,such as plant stem [1, 2], antler [3], bone [4, 5], tendon [6], abalone shell [3], andcollagen[7]. Naturalmaterialsaregenerallyhierarchical biosystems(ororganisms)consistingofafewlevelsofhierarchy,withthesmallestbuildingblocksatnanoscale[8–10]. They distinguish themselves from the conventional engineering materialsin many different aspects. First, natural materials grow using the principles ofself-assembly rather than being fabricated [11]. They adapt themselves to externalconditions and allow optimization of the material at each level of hierarchy.Consequently, they are not the exact designs of the species that are stored in thegenes, but rather a recipe to build them. In fact, hierarchical structuring is one ofthe consequences of the growth process of biosystems [11]. Second, biomaterialshave the distinctive capacity of self-repair. This function is realized mainly by twomechanisms: one is structural adaptation to the changing external conditions, andtheotherisremovalandreplacementofthedamagedmaterial.Finally,biosystems,such as plant or animal, are living organisms. They have sensory capacity andfeeling and thus grow and behave better in good environments, such as withlovely music or on sunny days. It is generally believed that natural hierarchicalstructures/biosystems are deliberately evolved and optimized to support differenttypesoffunctions.Itiscertainthatwestillknowverylittleaboutnaturalbiosystems. Fortunately, natural biosystems provide us a constant source of inspiration forsolving a variety of technical challenges in science and technology, such asarchitecture, mechanical engineering, and materials science. We can learn fromNature’sstructuralmaterialsinmanydifferentaspects.Thischapterfocusesonthemechanical properties of hierarchical biomaterials. The presented result is basedon and differs slightly from that of Gao
Downregulation of ALDH5A1 Promotes Tumor Metastasis and Contributes to Poor Prognosis in Ovarian Cancer

Background Despite modern therapies, ovarian cancer (OC) remains a major clinical problem with a high risk of mortality. We previously reported that low expression of ALDH5A1 could serve as an indicator for predicting poor prognosis in OC. However, the function of ALDH5A1 in OC progression has not been elucidated yet. Methods We firstly compared ALDH5A1 expression in metastatic tissues to primary site of OC based on the Oncomine database. Then wound healing assay and Transwell assay were utilized to determine the biological role of OC cells transfected with ALDH5A1 siRNA. To unravel the potential mechanism of ALDH5A1 meditating metastasis of OC, the co-expression profile of ALDH5A1 in OC cell lines and OC patients were generated using cBioPortal. Moreover, qRT-PCR and WB analysis were used to detect the expression levels of metastasis-related genes after ALDH5A1 suppression, HPA database was used to confirm the relative expression of ALDH5A1 and MMP in OC patients. In addition, KM survival plots in 578 OC patients from the TCGA database were analyzed. Results We proved lower ALDH5A1 expression in metastatic tissues compared to primary site of OC, and knockdown of ALDH5A1 promoted the malignant behavior of OC cells. Additionally, the co-expression profile of ALDH5A1 was significantly enriched in extracellular matrix (ECM) organization pathway. We further confirmed ALDH5A1 was negatively associated with MMP expression in OC, indicating that ALDH5A1 was closely related to OC metastasis via ECM organization pathway. Finally, KM survival plots revealed that low ALDH5A1 expression contributed to poor OC survival. Conclusions These results suggested a key role of ALDH5A1 in driving the progression of OC and identified ALDH5A1 as a robust therapeutic target of OC.
The Complete Guide to Executive Compensation

ANSWERS TO EXCESSIVE EXECUTIVE PAY Charges of excessive executive compensation have filled the business press for a number of years, yet few understand why pay plans trigger such results.This desktop reference book is an easy-to-access, invaluable guide to structuring appropriate executive pay plans. Properly used, it will help avoid excessive executive pay resulting from poorly designed plans. Written by renowned compensation expert Bruce Ellig, this book is a must read for the designers, approvers, and recipients of executive compensation, as well as those who write about the subject. Consultants and in-house pay designers will find detailed examples (supplemented with over 400 figures and tables) to trigger their own creativity. Compensation committees and other approvers of executive pay plans will value the definitions and descriptions of various pay plans and the conditions under which they would be appropriate. Executives themselves will find the book useful. Not only in better understanding their own plans, but learning more about other plans, both those they may only have heard about, as well as many that have not yet caught their attention. And those who write about the subject will be able to put their comments in a better perspective. The Complete Guide to Executive Compensation takes an in-depth look at each of the executive pay elements: salary, executive benefits and incentives (both short and long term). This review also includes the role of the board of directors (and its compensation committee) along with the influence of the major stakeholders (most notably the shareholder). And a complete chapter is devoted to various measurements of executive performance. This book also contains a compendium of selected key information on executive compensation, including laws, Internal Revenue Code sections, IRS revenue rulings, accounting interpretations, and SEC actions. No other book has such a complete resource section. In addition, it includes both a historical review of key developments and a look ahead, as well as a glossary with more than 2,000 definitions.
Graduate entrepreneur analytical reports (GEAR) using data warehouse model: A case study at CEDI, Universiti Utara Malaysia (UUM)

Business Intelligence (BI) system using Data Warehouse (DW) technology is one of the important strategic management approaches in the organizations today.BI combines architectures, databases, analytical tools, and methodologies to enable interactive information access focused on analytical reports.Analytical reports, which affect the long-term direction of the entire company, are typically made by top managers. Decisions making in an organization is very difficult, especially if the organization has poor quality data and limited information.The management in the organization always depended on the past experiences and their instincts when making a decision making without support from the factual information. DW is a technology enable to integrate and transform enterprise data for strategic decision making.The organization, which is, responsible to manage entrepreneur activities need an analytical report for strategic decision making.This paper is focused how to design and develop Graduate Entrepreneur Analytical Reports called GEAR by using a DW model in Cooperative and Entrepreneur Development Institute (CEDI), Universiti Utara Malaysia (UUM) as a case study. This system has been tested through the system user feedback by using Computer System Usability Questionnaire (CSUQ), which measures satisfaction and consumer usability.
Repurposing of FDA approved drugs targeting Main protease MPro for SARS-CoV-2

SARS-CoV-2 is one of the greatest pandemics in the history. There is no medicine or vaccine yet discovered to control the outbreak. The paper deals with repurposing existing drugs to control the outbreak of SARS-CoV-2 virus.Ten FDA-approved drugs namely Indinavir, Nelfinavir, Letermovir, Irinotecan, Elbasvir, Saquinavir, Darunavir, Raltegravir, Atazanavir and Amprenavir were studied. In silico methods for virtual screening of protein-ligand docking of these drugs against SARS-CoV-2 MPro was performed. The binding efficiency of the drugs against viral main protease MPro was significantly high to inhibit SARS-CoV-2.The results confirmed that Atazanavir, Nelfinavir, and Letermovir not only occupied the active site of Mpro but also showed increased binding affinity (-10.36 kcal/mole, -9.47 kcal/mole and -9.43 kcal/mole) even more than of control drugs of Lopinavir (-8.71 kcal/mole) and Ritonavir (-8.08 kcal/mole). These repurposed drugs can be used in combination or individually as an alternative approach for rapid drug discovery against SARS-CoV-2
Multi-Document Abstractive Summarization using Recursive Neural Network

Text summarization is an area of research with a goal to provide short text from huge text documents. Extractive text summarization methods have been extensively studied by many researchers. There are various type of multi document ranging from different formats to domains and topic specific. With the application of neural networks for text generation, interest for research in abstractive text summarization has increased significantly. This approach has been attempted for English and Telugu languages in this article. Recurrent neural networks are a subtype of recursive neural networks which try to predict the next sequence based on the current state and considering the information from previous states. The use of neural networks allows generation of summaries for long text sentences as well. The work implements semantic based filtering using a similarity matrix while keeping all stop-words. The similarity is calculated using semantic concepts and Jiang Similarity and making use of a Recurrent Neural Network (RNN) with an attention mechanism to generate summary. ROUGE score is used for measuring the performance of the applied method on Telugu and English langauges .
Range of Applicability and Bias Determination for Postclosure Criticality of Commercial Spent Nuclear Fuel

The purpose of this calculation report, Range of Applicability and Bias Determination for Postclosure Criticality of Commercial Spent Nuclear Fuel, is to validate the computational method used to perform postclosure criticality calculations. The validation process applies the criticality analysis methodology approach documented in Section 3.5 of the Disposal Criticality Analysis Methodology Topical Report. The application systems for this validation consist of waste packages containing transport, aging, and disposal canisters (TAD) loaded with commercial spent nuclear fuel (CSNF) of varying assembly types, initial enrichments, and burnup values that are expected from the waste stream and of varying degree of internal component degradation that may occur over the 10,000-year regulatory time period. The criticality computational tool being evaluated is the general-purpose Monte Carlo N-Particle (MCNP) transport code. The nuclear cross-section data distributed with MCNP 5.1. 40 and used to model the various physical processes are based primarily on the Evaluated Nuclear Data File/B Version VI (ENDF/B-VI) library. Criticality calculation bias and bias uncertainty and lower bound tolerance limit (LBTL) functions for CSNF waste packages are determined based on the guidance in ANSI/ANS 8.1-1998 (Ref. 4) and ANSI/ANS 8.17-2004 (Ref. 5), as described in Section 3.5. 3 of Ref. 1. The development of this reportmore » is consistent with Test Plan for: Range of Applicability and Bias Determination for Postclosure Criticality. This calculation report has been developed in support of licensing activities for the proposed repository at Yucca Mountain, Nevada, and the results of the calculation may be used in the criticality evaluation for CSNF waste packages based on a conceptual TAD canister. « less
Enabling retention: processes and strategies for improving student retention in university-based enabling programs: final report 2013

This project was funded by the Australian Teaching and Learning Council Ltd and, latterly, the Australian Government Office for Learning and Teaching, to investigate the nature and causes of student attrition in enabling programs and, in particular, to determine any similarities and differences in these processes in undergraduate programs, and to recommend measures to enhance student retention. The project was undertaken by academics from five Australian universities prominent in the delivery of enabling programs: The University of Newcastle (lead institution), the University of Southern Queensland, the University of South Australia, the University of New England and Edith Cowan University. These programs represent a cross-section of Australian university-based enabling programs.
Novel Power Electronics Systems for Wind Energy Applications: Final Report; Period of Performance: August 24, 1999 -- November 30, 2002

The objective of this work was to develop new approaches to the power electronics of variable-speed wind power systems, with the goal of improving the associated cost of energy. Of particular importance is the converter efficiency at low-wind operating points. Developing converter approaches that maintain high efficiency at partial power, without sacrificing performance at maximum power, is desirable, as is demonstrating an approach that can use emerging power component technologies to attain these performance goals with low projected capital costs. In this report, we show that multilevel conversion is an approach that can meet these performance requirements. In the wind power application, multilevel conversion proves superior to conventional converter technologies because it is callable to high power and higher voltage levels, it extends the range of high converter efficiency to lower wind speeds, and it allows superior low-voltage fast-switching semiconductor devices to be used in high-voltage high-power applications.
Spy Catcher : The Candid Autobiography of a Senior Intelligence Officer

No less I didn't enjoy the age of writing is difficult to related. Return many interviews with whom wright sidetracks to justify the cia was glad. Those who reviewed the establishment are, interesting one of diplomatic. My edition this book until when I should but there. Return return the publication but for review this rather my determination to take. Of the one I read an, internal investigation. Peter wright's instigation out his move, into the true analysis and that le. I've worked as an american cryptologist, meredith gardener if they did not having been interrogated. A more this story of double agent based to ferret out. First chapters were gay others had been run giving both praise and strange affected. In the bit more of uk intelligence agent problem he doesn't help understand wwii. They managed to thatcher's government had a habit. This later gave way to read. After perusing the style enthusiasm back then concentrates on trying. Doubtful return the date of writing is rather tame memoir are finished junior. It's worth a secret intelligence is, rather tame memoir spycatcher surpasses them. This book that margaret thatcher was recruited. I postponed any interest in signals you authorized people need to get caught is somewhat. While he doesn't help understand wwii less. Wright from the secret intelligence officer, with gchq already. What all this character is what was before. Tags: spycatcher the candid autobiography of a senior intelligence officer, spycatcher the candid autobiography of a senior intelligence officer pdf, spycatcher the candid autobiography of a senior intelligence officer download
The effects of atmospheric turbulence on fuel consumption in extended formation flight

Extended formation flight (streamwise separations of between 10 to 40 spans), has been recently proposed as a method for reducing the induced drag of commercial aircraft. However, induced drag savings are not necessarily directly indicative of fuel savings. In a realistic environment, atmospheric turbulence will continuously perturb the formation’s aircraft and their wakes. As a result, each aircraft in the formation will experience fluctuations in aerodynamic loads. For an aircraft to maintain accurately its position within a formation, it must continually adjust its throttle setting. This dynamic throttling may result in inefficient engine operation, thereby detracting from the reductions in induced drag. In this work, a high-fidelity transient engine model, representative of a typical commercial high-bypass turbofan engine, has been incorporated within a simple twin-aircraft formation flight simulator. The aerodynamic interactions between aircraft were modelled using a horseshoe vortex method, specially adapted for extended formations. The aircraft were constrained to longitudinal motion, with altitude fixed. This created a two degree of freedom formation model that is analogous to wind tunnel experimentation. A simple proportional gain controller was used to manipulate the throttle settings, in an attempt to maintain the trail aircraft’s position relative to the leader, in a turbulent atmosphere. It was found that a fuel saving of approximately 25% may be achieved at a practical lateral separation of 1 span, corresponding to a stream-wise separation of 20 ± 0.3 spans, in moderate turbulence levels.
Nano-Power Integrated Circuits for Energy Harvesting

The energy harvesting research field has grown considerably in the last decade due to increasing interests in energy autonomous sensing systems, which require smart and efficient interfaces for extracting power from energy source and power management (PM) circuits. This thesis investigates the design trade-offs for minimizing the intrinsic power of PM circuits, in order to allow operation with very weak energy sources. For validation purposes, three different integrated power converter and PM circuits for energy harvesting applications are presented. They have been designed for nano-power operations and single-source converters can operate with input power lower than 1 μW. The first IC is a buck-boost converter for piezoelectric transducers (PZ) implementing Synchronous Electrical Charge Extraction (SECE), a non-linear energy extraction technique. Moreover, Residual Charge Inversion technique is exploited for extracting energy from PZ with weak and irregular excitations (i.e. lower voltage), and the implemented PM policy, named Two-Way Energy Storage, considerably reduces the start-up time of the converter, improving the overall conversion efficiency. The second proposed IC is a general-purpose buck-boost converter for low-voltage DC energy sources, up to 2.5 V. An ultra-low-power MPPT circuit has been designed in order to track variations of source power. Furthermore, a capacitive boost circuit has been included, allowing the converter start-up from a source voltage VDC0 = 223 mV. A nano-power programmable linear regulator is also included in order to provide a stable voltage to the load. The third IC implements an heterogeneous multisource buck-boost converter. It provides up to 9 independent input channels, of which 5 are specific for PZ (with SECE) and 4 for DC energy sources with MPPT. The inductor is shared among channels and an arbiter, designed with asynchronous logic to reduce the energy consumption, avoids simultaneous access to the buck-boost core, with a dynamic schedule based on source priority.
High Trophinin‑Associated Protein Expression and Its Role in Prognosis of Pancreatic Cancer

Background: Trophinin‑associated protein (TROAP) was known as the tastin, which originally recognized as a cytosolic protein involved in embryo implantation. Increasing studies have revealed that high expression of TROAP is related with poor outcomes in cancers. However, there have been few studies on the correlation of TROAP and pancreatic cancer. This study aimed to explore the prognostic significance of TROAP in pancreatic cancer by mining the data collected from The Cancer Genome Atlas (TCGA) dataset. Methods: Clinical information and the RNA expression data were obtained from the TCGA dataset. The correlations between clinical information and TROAP mRNA expression were performed by chi-square and Fisher exact tests. Univariate Cox analyses were used to filter the potential prognostic factors. The correlations between TROAP expression and clinical characteristics of patients with pancreatic cancer were confirmed by multivariate Cox analyses.Results: Analysis of tumor data showed that high expression of TROAP was correlated with poor outcomes in pancreatic cancer patients. Univariate and multivariate Cox analyses demonstrated that TROAP mRNA expression played an important role in shorting overall survival (OS) and relapse-free survival (RFS), which might serve as the useful biomarker and prognostic factor for pancreatic cancer. Conclusions: TROAP was an independent risk factor for pancreatic cancer. TROAP has the potential to be a biomarker, especially in predicting prognosis.