Miracle-dz/UniFAR-FTUs huggingface dataset:
An Experimental Investigation of Principal Selection Decisions Made by Teachers Serving on School Councils.

Public school teachers (N=189) role-played as members of school councils making principal selection decisions by rating simulated candidates for principal vacancies. The independent variables were principal candidate job experience, candidate person characteristics (communication, management, instructional leadership), and teacher school level. The dependent variable was teacher rating of the job candidate. A three-way ANOVA detected a significant main effect (F [2, 162] = 7.34, p < .001) for candidate job experience. Teachers rated the most experienced candidates higher than the least experienced candidates, but failed to rate the medium experienced candidate higher than the least experienced candidate or the most experienced candidate higher than the medium experienced candidate. The findings from this investigation should cause school reformers to revisit personnel policies with respect to principal selection. Study results strongly suggest that teachers on school councils, who lack administrative experience in the personnel function, have difficulty making optimal principal selection decisions that will maximally benefit the school. Results of such poor decision-making can jeopardize school performance and school reform. This study uncovered new knowledge about principal selection and did so using an innovative simulation approach that may serve to guide future selection investigations. (Contains 46 references and 3 tables.) (RT) Reproductions supplied by EDRS are the best that can be made from the original document. Principal Selection 1 An Experimental h. ,Lstigation of Principal Selection Decisions Made by Teachers Serving on School Councils
Deep learning : a brief overview

In the era of big data, transformation of biomedical big data into valuable knowledge has been one of the most important challenges in bioinformatics. Deep learning has advanced rapidly since the early 2000s and now demonstrates state-of-theart performance in various fields. Accordingly, application of deep learning in bioinformatics to gain insight from data has been emphasized in both academia and industry. Here, we review deep learning in bioinformatics, presenting examples of current research. To provide a useful and comprehensive perspective, we categorize research both by the bioinformatics domain (i.e. omics, biomedical imaging, biomedical signal processing) and deep learning architecture (i.e. deep neural networks, convolutional neural networks, recurrent neural networks, emergent architectures) and present brief descriptions of each study. Additionally, we discuss theoretical and practical issues of deep learning in bioinformatics and suggest future research directions. We believe that this review will provide valuable insights and serve as a starting point for researchers to apply deep learning approaches in their bioinformatics studies.
Image segmentation algorithm based on the second clustering and level set method

Improve the level set algorithm by Lagrangian particle enhanced replanting algorithm and increase the reduced segmentation accuracy brought about by the algorithm for uneven image pixel for medical CT image. Based on Literature [4], the combination of Lagrangian particle enhanced replanting algorithm and level set algorithm is adopted, the convergence of velocity field for singular point is promoted through increase of velocity vector and unit normal vector and the medical CT image segmentation method of hybrid level set (LPRLS) based on Lagrangian particle enhanced replanting algorithm is proposed in the Thesis. Calculate the Lagrangian labeled particle before calculating the formula of horizontal set to rebuild the embedded interface in order to improve the mass conservation property of level set algorithm; improve the convergence of velocity field for singular point and topological change point through increasing velocity vector and unit normal vector in order to handle the singularity of interface and complicated geometric correlation. The simulation results of algorithm indicate that the performance of the proposed algorithm is greatly improved compared with the original algorithm. It can be concluded from the simulation results that the existing insufficiency is the proportion of error identification of the algorithm. Introduction In recent years, Osher and Sethian, etc., the scholars in image processing direction jointly studied and proposed the segmentation algorithm for level set (LS) and the main idea was to map the low-dimensional closed two-dimension curve to the high-dimensional level set for processing with a view to strengthening the stability of image segmentation algorithm. Even so, the singularity and complicated geometric correlation of image interface play a significant influence on the level set algorithm; so the proper handling of the above problems is very important to improve the application effect of level set segmentation algorithm in medical imaging such as CT and X-ray and favorable to improving the performance of the algorithm in dealing with the problems such as poor contrast, uneven pixel and fuzzy boundary with image segmentation problems in medical imaging[2-3]. Level set algorithm based on particle The essence of level set algorithm is to turn the image segmentation problem to hyper curved surface activity in high-dimensional space as shown in Fig.1. The embedded interface 3 Γ∈ can be defined as the signed distance function of zero level set,φ . So the formula for iterative evolution algorithm of standard level set is as follows[11-12]: , 0 V t φ φ ∂ + ∇ = ∂ 
Clinical Practice Guidelines EASL Clinical Practice Guidelines : The diagnosis and management of patients with primary biliary cholangitis q European Association for the Study of the Liver ⇑

Primary biliary cholangitis (PBC) is a chronic inflammatory autoimmune cholestatic liver disease, which when untreated will culminate in end-stage biliary cirrhosis. Diagnosis is usually based on the presence of serum liver tests indicative of a cholestatic hepatitis in association with circulating antimitochondrial antibodies. Patient presentation and course can be diverse and risk stratification is important to ensure all patients receive a personalised approach to their care. The goals of treatment and management are the prevention of end-stage liver disease, and the amelioration of associated symptoms. Pharmacologic approaches in practice, to reduce the impact of the progressive nature of disease, currently include licensed therapies (ursodeoxycholic acid and obeticholic acid) and off-label therapies (fibric acid derivatives, budesonide). These clinical practice guidelines summarise the evidence for the importance of a structured, life-long and individualised, approach to the care of patients with PBC, providing a framework to help clinicians diagnose and effectively manage patients. 2017 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.
Evaluation of ACPs in China Fusion Engineering Test Reactor Using CATE 2.1 Code

Activated corrosion products (ACPs) are the dominant radiation hazard in water-cooled fusion reactor under normal operation conditions and directly determine the occupational radiation exposure during operation and maintenance. Recently, the preliminary design of China Fusion Engineering Test Reactor (CFETR) has been just completed. Evaluation of ACPs is an important work for the safety of CFETR. In this paper, the ACPs analysis code CATE 2.1 was used to simulate the spatial distribution of ACPs along the blanket cooling loop of CFETR, in which the influence of adopting different pulse handling methods was researched. At last, the dose rate caused by ACPs around the blanket cooling loop was calculated using the point kernel code ARShield. The results showed that the dose rate under normal operation for 1.2 years at contact is 1.02 mSv/h and at 1 m away from pipe is 0.45 mSv/h. And after shutting down the reactor, there will be a rapid decrease of dose rate, because of the rapid decay of short-lived ACPs.
A short endoscopic Secretin test for the diagnosis of chronic pancreatitis

Background: The diagnosis of CP is not yet clearly defined. Many national guidelines exist, but as in many other not clearly defined diseases there is no worldwide consensus. In CP, evaluation of exocrine pancreatic function is crucial because symptoms are often diffuse and overlooked by the doctors. Additionally, early diagnosis of exocrine pancreatic failure is important as its consequence, malnutrition and commonly abdominal pain, leads to serious complications and reduced life expectancy. Direct pancreas function testing with analyses of enzymes in duodenal juice may give this information. Aims: The main aim was to develop and establish a multimodal algorithm for the diagnoses of CP, accurate and easy to handle in clinical practice. Secondary, we wanted to simplify direct pancreas function testing including a): the performance of a short endoscopic test (article I) and b): the analyses of ingredients in duodenal juice by automation: bicarbonate (article II), Amylase (article III) and Lipase (article IV). Materials and Methods: We examined consecutively healthy controls and patients referred to our outpatient clinic due to symptoms suspicious of CP. We assessed patients with a modified Layer (Mayo) score, which includes imaging, pancreas function testing and medical history. We established a short endoscopic secretin test and analysed bicarbonate, Amylase and Lipase in duodenal juice as markers for ductal and acinar exocrine pancreatic function. In article I, we determined sensitivity, specificity and accuracy of bicarbonate and faecal-elastase, using our modified secretin-stimulated upper endoscopy (short endoscopic secretin test, or EST). In article II, III, IV, we describe correlation between automation of analyses of Bicarbonate, Amylase and Lipase in duodenal juice to labour-intensive manual methods.
TOPQS measure as a decision making factor in adaptive wavelet image compression

The paper presents the wavelet adaptive compression for color images which is targeted to ensure good quality of the resultant picture. In described adaptive compression method the best wavelet transform for an image or a part of it is selected based on perceptual measure TOPQS. Two types of the adaptive compression are described: the block compression and compression on the resolution levels.
Towards accurate rescaling of a halo mass function

Abstract We investigate the precision within which a simulated dark matter halo mass function can be rescaled to a different set of cosmological parameters. Our tests show that the accuracy almost linearly depends on the difference of the cosmological parameters and amounts to few percent in the case of WMAP5 and PLANCK parameters. The rescaling thus allows us to obtain a mass function with better precision than the one given by the Sheth-Mo-Tormen approximation and even more modern fits currently used in the literature.
The Effect of Anoxia on Mitochondrial Function in a Hibernator (Ictidomys tridecemlineatus)

i CO-AUTHORSHIP STATEMENT . ii ACKNOWLEDGEMENTS . iii TABLE OF CONTENTS . iv LIST OF FIGURES . vii LIST OF APPENDICES . viii LIST OF ABBREVIATIONS AND SYMBOLS . ix CHAPTER 1 . 1
Small-Animal Model Small Cell Lung Cancer Using an Orthotopic − Re on Human Non 188 Embedded − Evaluation of the Therapeutic and Diagnostic Effects of PEGylated Liposome

Published online: October 27, 2014. 2014;55:1864-1870. J Nucl Med. Te-Wei Lee and Yi-Jang Lee Liang-Ting Lin, Chih-Hsien Chang, Hsiang-Lin Yu, Ren-Shyan Liu, Hsin-Ell Wang, Shu-Jun Chiu, Fu-Du Chen, Small-Animal Model Small Cell Lung Cancer Using an Orthotopic − Re on Human Non 188 Embedded − Evaluation of the Therapeutic and Diagnostic Effects of PEGylated Liposome http://jnm.snmjournals. org/content/55/11/1864 This article and updated information are available at: http://jnm.snmjournals. org/site/subscriptions/online.xhtml Information about subscriptions to JNM can be found at: http://jnm.snmjournals. org/site/misc/permission.xhtml Information about reproducing figures, tables, or other portions of this article can be found online at:
Landslide hazard zonation (LHZ) mapping on meso-scale for systematic town planning in mountainous terrain

Planning and execution of development schemes in Himalayan terrain is always challenging because of inbuilt fragile nature of mountain ecosystem. Landslide hazard zonation (LHZ) mapping on meso-scale (1: 5000-10,000) may guide planners to choose suitable locations for urbanization and expansion in hills. In present work, scope of regional scale LHZ mapping technique has been increased to accommodate more detailed aspects of inherent causative factors responsible for slope instability. This technique also incorporates effects of external causative factors such as seismicity and rainfall as correction ratings. This technique has been effectively applied to prepare a LHZ map on meso-scale in Nainital area. It will be useful for town planners to plan civil constructions in relatively safe zones. In addition, environmentally unstable slopes can be given adequate attention by planning suitable control measures.
The Role of Jasmonates in the Formation of a Compound of Chalcones and Flavans with Phytoalexin-Like Properties in Mechanically Wounded Scales of Hippeastrum × Hybr. Bulbs

Mechanical damage to scales of Hippeastrum × hybr. bulbs leads to the formation of phytoalexin-like compounds which redden the wounded tissue. The reaction is accompanied by an increase in methyl jasmonate (JAMe). Applying 2-(4-isobutylphenyl) propionic acid, a jasmonate biosynthesis inhibitor, decreases the level of endogenous jasmonates and decreases the plant's ability to produce the red pigment. Experimental results indicate that jasmonates are involved in the defense response to wounding in Hippeastrum, which is manifested in the formation of red pigment, a compound of chalcones and flavans with phytoalexin-like properties.
Separation for Offshore Operating Conditions using Membrane Process

The increasing demands of natural gas pushes energy industries to explore the reservoirs contain high CO2 concentration and impurities including heavy hydrocarbons. High efficiency of using membrane technology in CO2-natural gas separation has extended its potential application to offshore environment. Due to the limited studies related with the separation of CO2 under offshore conditions, the present work has investigated the separation performance of a commercial membrane in removing bulk CO2 from methane at elevated pressure condition. A wide range of offshore operating conditions including pressure from 10 to 50 bar, CO2 concentration from 25 to 70% and temperature of 30 oC, 40oC and 50oC were studied. High relative CO2 permeance and relative CO2/CH4 selectivity were observed when the pressure and the CO2 concentration increased. This work, therefore substantial is to bridge the gap and facilitates the application of membrane technology for offshore operating conditions.
Soil Matters: Improving Forest Landscape Planning and Management for Diverse Objectives with Soils Information and Expertise

Most forest managers would agree that soils are a fundamental resource of forestlands, yet many planning and management decisions continue to be made without a detailed and spatially explicit understanding of this unique and vital resource. We discuss the value of soil data and interpretations in forest planning. We emphasize that soil types differ widely in their inherent capacity to perform various ecological functions as well as in their dynamic response to and recovery from disturbances—concepts that can greatly enhance the quality of forest management decisions. We make a case for applying these concepts by introducing an adaptive management model that targets the use of soil information during forest planning and management. Our goal is to help bridge the gap between soil science and decisionmaking by helping forest managers better understand the value of soil information in project planning. A case study highlights applications and potential benefits.
Finite Element Analysis of Beam with Smart Materials

Impedance-based structural health-monitoring techniques are developed by utilizing a number of smart material technologies and represent a new non-destructive evaluation (NDE) method. The basic concept of this approach is monitoring the variations in mechanical impedance of the structure resulted by the presence of damage. Since it is very difficult to measure the structural mechanical-impedance, the new impedance methods utilize the electromechanical coupling properties of piezoelectric materials. The impedance-based structural health monitoring is done by using piezoelectric patches which are bonded to the host structure that act as both sensors and actuators on the system. When a PZT comes under a change in environment, it produces an electric charge. Conversely when an electric field is applied the PZT undergoes a mechanical strain. A sinusoidal voltage is used for the excitation of the PZT patch. As the patch is surface bonded to the host structure, the structure deforms along with it and gives a local dynamic response to the vibration. That response is then transmitted back from the PZT patch as an electrical response. The electrical response is then analysed where damage is shown as a phase shift or magnitude change in the impedance. In this project finite element simulation of the interaction between a PZT patch and a structure utilizing the electromechanical impedance (EMI) technique is studied. Simulation of the host structure with a piezoelectric patch at a high frequency range (up to 1000 kHz) using ANSYS version 13, was successfully performed. Advantages over the traditional FEA based impedance model and the impedance based analytical models include higher accuracy, direct acquisition of electrical admittance/impedance. This study proves that the FEM could emerge as an excellent alternative to structural health monitoring by visual inspection method.
Counting Seabirds at Sea from Ships: A Review of Methods Employed and a Suggestion for a Standardized Approach

--We review the methods used to study seabirds at sea from ships, discuss the problems posed in making reliable observations in relation to the design of research programs, and describe a method currently in use around the seas of Great Britain. We suggest a framework for future studies, incorporating features likely to stabilize bias. The key items in this recommendation are (1) the use of a band transect in order to provide density estimates, and (2) a method to correct for movement of flying birds in the band transect in order to minimize bias caused by such movement. Received 13 October 1982, accepted 5 December 1983. THE recent upsurge in studies of seabirds at sea has often been in response to the need to assess the potential impact of hydrocarbon developments offshore. Marine biologists are also realizing that seabirds play an important part in marine ecosystems, and seabird ornithologists are becoming aware of the fact that studies of seabird biology must extend beyond the colonies. Attempts to produce systematic ounts of seabirds at sea have resulted in almost as many methods as there have been studies. In this paper, we review these methods and discuss associated problems. If studies are to become more comparable, the methods used will have to become more standardized; therefore, we suggest an approach that may help achieve this aim. DEVELOPMENT OF QUANTITATIVE SURVEYS
DIAGNOSTIC CONSIDERATIONS DECISION MAKING IN ADULT DEFORMITY SPINAL DEFORMITY

SPINAL DEFORMITY AFFECTS adults and adolescents in different ways. Adult deformity patients are skeletally mature and tend to have relatively fixed curves, whereas adolescent patients are skeletally immature with flexible curves. As a result, adult patients typically present with back pain and neurological concerns, whereas adolescents present with cosmetic complaints. The goals of surgery on the adult deformity patient are to treat pain and relieve neurological problems while maintaining or achieving three-dimensional balance. The absolute degree of coronal curve correction in an adult deformity patient is less important than maintaining good sagittal balance. Issues that must be addressed in the preoperative decision-making process include the approach to the surgery, the timing of the surgery, and the location of the end of the construct. Twenty years ago, anteroposterior surgery was the most common procedure used for adults with fixed curves; however, recent advances in technology and techniques have led to more frequent use of purely posterior approaches. The posterior approach allows for greater curve correction owing to two major advances in the surgical method: osteotomy techniques, which release fixed deformities, and pedicle screw instrumentation in the thoracolumbar spine, which achieves greater curve correction with fewer levels of fixation. The optimal timing of surgery and the levels to be treated remain open to debate. Each adult patient’s treatment must be individualized to achieve the best coronal correction possible while maintaining sagittal balance to preserve the three-dimensional balance of the spine.
2 Some Issues about Association Rules

Association Rules are one of the most widespread data mining tools because they can be easily mined, even from very huge database, and they provide valuable information for many application fields such as marketing, credit scoring, business, etc. The counterpart is that a massive effort is required (due to the large number of rules usually mined) in order to make actionable the retained knowledge. In this framework vizualization tools become essential to have a deep insight into the association structures and interactive features have to be exploited for highlighting the most relevant and meaningful rules.
Anonymous On-line Communication Between Program Analyses ( Regular paper )

We propose a light-weight client-server model of communication between program analyses. Clients are individual analyses and the server mediates their communication. A client cannot see properties of any other and the communication is anonymous. There is no central algorithm standing above clients which would tell them when to communicate what information. Clients communicate with others spontaneously, according to their actual personal needs. The model is based on our observation that a piece of information provided to an analysis at a right place may (substantially) improve its result. We evaluated the proposed communication model for all possible combinations of three clients on more than 400 benchmarks and the results show that the communication model performs well in practice.
Cohesin binding − intragenic CTCF Gene-specific repression of the p 53 target gene PUMA via Material Supplemental

Material Supplemental http://genesdev.cshlp. org/content/suppl/2010/05/05/24.10. 1022.DC1. html References http://genesdev.cshlp. org/content/24/10/1022.full. html#ref-list-1 This article cites 68 articles, 25 of which can be accessed free at: Open Access Freely available online through the Genes & Development Open Access option. service Email alerting click here top right corner of the article or Receive free email alerts when new articles cite this article sign up in the box at the