Washington State Public Teachers\u27 Ambient Positional Instability From A Statistical Approach of Retrospective Study & Prospective Study

The purpose of this research is to study the movements of teachers’ churn rate in the state of Washington over the past 14 years. The research of teachers’ churn rate is an integrative study, with retrospective part and prospective part. Retrospective study includes the analysis of descriptive statistics (level I), statistical inference (level II) and causal inference (level III) (Berk, R.A. (2016) Statistical Learning from a Regression Perspective. Philadelphia, PA: Springer). Prospective study is mainly about forecasting and statistical inference that generated from the predictions. In this research, we are using longitudinal data analysis. The good point of longitudinal data analysis is that it provides us with the data in the past fifteen years with keeping track of the status of all K-12 teachers in the State of Washington. A Comprehensive meta-analysis research on teacher career trajectories conducted by Borman and Dowling shows that very a few previous studies used long-term longitudinal data to properly track the movement of teachers (Borman & Dowling, 2008). From statistical respect, longitudinal studies always provide better results than other approaches when time is a factor in the analysis. Our research is the holistic contribution from the whole project panel, especially under the advising of Professor Robert Boruch, who is also the director of the whole research project series. Bowen Cai takes the responsibility of retention & churn rate calculating, statistical modeling (including machine learning algorithms and time series forecasting) and statistical analysis from the respects of survey methods and design

Panorama - Caring for the Palace Museum, Bejing, China

Shi Zhimin discusses his work as Director of the Ancient Building Management Office of The Palace Museum in Beijing, still also recognized by many visitors as the former Chinese imperial palace known as The Forbidden City, with Cai Bowen and Professor James Hagy, Director of The Rooftops Project.https://digitalcommons.nyls.edu/rooftops_project/1024/thumbnail.jp

Hodnocení finanční výkonnosti společnosti Dongfeng Hongtai

Import 22/07/2015Financial analysis, which refers to profitability, solvency, liquidity, stability, history and the prospects for growth, trade comparison and other financial indicators and methods, analysis of enterprise, project or investment. The aim of submitted bachelor thesis is provide the financial analysis of Dongfeng Hongtai Company during 2009 to 2013 period. Financial analysis is divided to five chapters, including introduction and conclusion. The most important is chapter four, because there is used financial analysis for Dongfeng Hongtai Company.Financial analysis, which refers to profitability, solvency, liquidity, stability, history and the prospects for growth, trade comparison and other financial indicators and methods, analysis of enterprise, project or investment. The aim of submitted bachelor thesis is provide the financial analysis of Dongfeng Hongtai Company during 2009 to 2013 period. Financial analysis is divided to five chapters, including introduction and conclusion. The most important is chapter four, because there is used financial analysis for Dongfeng Hongtai Company.154 - Katedra financívelmi dobř

Phononic transport in 1T prime-MoTe2: anisotropic structure with an isotropic lattice thermal conductivity

Molybdenum ditelluride (MoTe2) is an unique transition metal dichalcogenide owing to its energetically comparable 1H and 1T prime phases. This implies a high chance of coexistence of 1H-1T prime heterostructures which poses great complexity in the measurement of the intrinsic lattice thermal conductivities (kappa). In this work, via first-principles calculations, we examine the lattice-wave propagation and thermal conduction in this highly structurally anisotropic 1T prime MoTe2. Our calculation shows that the 1T prime phase has a sound velocity of 2.13 km/s (longitudinal acoustic wave), much lower than that of the 1H phase (4.05 km /s), indicating a staggered transmission of lattice waves across the boundary from 1H to 1T prime phase. Interestingly, the highly anisotropic 1T prime MoTe2 shows nearly isotropic and limited kappa_L of 13.02 W/mK, owing to a large Gruneisen parameter of acoustic flexural mode, heavy masses of Mo and Te elements and a low phonon group velocity. Accumulative kappa_L as a function of mean free path (MFP) indicates phonons with MFP less than ~300 nm contribute 80% of kappa_L and an inflection point at ~600 nm. Our results will be critical for understanding of the size dependent kappa_L of nanostructured 1T prime MoTe2

NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction

This paper studies implicit surface reconstruction leveraging differentiable ray casting. Previous works such as IDR and NeuS overlook the spatial context in 3D space when predicting and rendering the surface, thereby may fail to capture sharp local topologies such as small holes and structures. To mitigate the limitation, we propose a flexible neural implicit representation leveraging hierarchical voxel grids, namely Neural Deformable Anchor (NeuDA), for high-fidelity surface reconstruction. NeuDA maintains the hierarchical anchor grids where each vertex stores a 3D position (or anchor) instead of the direct embedding (or feature). We optimize the anchor grids such that different local geometry structures can be adaptively encoded. Besides, we dig into the frequency encoding strategies and introduce a simple hierarchical positional encoding method for the hierarchical anchor structure to flexibly exploit the properties of high-frequency and low-frequency geometry and appearance. Experiments on both the DTU and BlendedMVS datasets demonstrate that NeuDA can produce promising mesh surfaces.Comment: Accepted to CVPR 2023, project page: https://3d-front-future.github.io/neud

Ultrasound regulated flexible protein materials: Fabrication, structure and physical-biological properties.

Ultrasound can be used in the biomaterial field due to its high efficiency, easy operation, no chemical treatment, repeatability and high level of control. In this work, we demonstrated that ultrasound is able to quickly regulate protein structure at the solution assembly stage to obtain the designed properties of protein-based materials. Silk fibroin proteins dissolved in a formic acid-CaCl solution system were treated in an ultrasound with varying times and powers. By altering these variables, the silks physical properties and structures can be fine-tuned and the results were investigated with Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), scanning electron microscopy (SEM), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), dynamic mechanical analysis (DMA), gas permeability and water contact angle measurements. Ultrasonic treatment aids the interactions between the calcium ions and silk molecular chains which leads to increased amounts of intermolecular β-sheets and α-helix. This unique structural change caused the silk film to be highly insoluble in water while also inducing a hydrophilic swelling property. The ultrasound-regulated silk materials also showed higher thermal stability, better biocompatibility and breathability, and favorable mechanical strength and flexibility. It was also possible to tune the enzymatic degradation rate and biological response (cell growth and proliferation) of protein materials by changing ultrasound parameters. This study provides a unique physical and non-contact material processing method for the wide applications of protein-based biomaterials

EduChain: A Blockchain-based Education Data Management System

The predominant centralized paradigm in educational data management currently suffers from several critical issues such as vulnerability to malicious tampering, a high prevalence of diploma counterfeiting, and the onerous cost of certificate authentication. Decentralized blockchain technology, with its cutting-edge capabilities, presents a viable solution to these pervasive problems. In this paper, we illuminate the inherent limitations of existing centralized systems and introduce EduChain, a novel heterogeneous blockchain-based system for managing educational data. EduChain uniquely harnesses the strengths of both private and consortium blockchains, offering an unprecedented level of security and efficiency. In addition, we propose a robust mechanism for performing database consistency checks and error tracing. This is achieved through the implementation of a secondary consensus, employing the pt-table-checksum tool. This approach effectively addresses the prevalent issue of database mismatches. Our system demonstrates superior performance in key areas such as information verification, error traceback, and data security, thereby significantly improving the integrity and trustworthiness of educational data management. Through EduChain, we offer a powerful solution for future advancements in secure and efficient educational data management