“Conceptual Reverse Engineering” of Online Learning Objects and Sequences for Practical Applications

For instructional designers, one of the early steps in any design involves an environmental scan to see what publicly available online learning objects, sequences, and raw materials exist for the topic. “Conceptual reverse engineering” involves analyzing the online learning objects and sequences to infer how those objects may have been created, what technologies were likely used, the probable learning objectives, the apparent target audience, the prospective costs/inputs, and other factors. This information may be used to understand the state of the art, to inform a competing design methods, to inform the selection of technologies, to budget design and development work, to decide whether or not to adopt available third-party learning objects, and other applications. This chapter describes the creation of the conceptual reverse engineering of online learning objects and sequences (CREOLOS), which includes a step for validating/invalidating the reverse-engineered design.

Alloy Digest ◽  
2013 ◽  
Vol 62 (9) ◽  

Abstract Böhler (or Boehler) W403 VMR is a tool steel with outstanding properties, based not only on a modified chemical composition, but on the selection of highly clean raw materials for melting, remelting under vacuum (VMF), optimized diffusion annealing, and a special heat treatment. This datasheet provides information on composition, physical properties, and elasticity. It also includes information on forming and heat treating. Filing Code: TS-721. Producer or source: Böhler Edelstahl GmbH.


Author(s):  
Eric Golson

ABSTRACTIn September 1939, Portugal made a realist strategic choice to preserve the Portuguese Empire maintaining by its neutrality and also remaining an ally of Great Britain. While the Portuguese could rely largely on their colonies for raw materials to sustain the mainland, the country had long depended on British transportation for these goods and the Portuguese military. With the British priority now given to war transportation, Portugal's economy and Empire were particularly vulnerable. The Portuguese dictator Antonio Salazar sought to mitigate this damage by maintaining particularly friendly financial relations with the British government, including increased exports of Portuguese merchandise and services and permission to accumulate credits in Sterling to cover deficits in the balance of payments. This paper gives an improved set of comprehensive statistics for the Anglo-Portuguese and German–Portuguese relationships, reported in Pounds and according to international standards. The reported statistics include the trade in merchandise, services, capital flows, loans and third-party transfers of funds in favour of the British account. When compared with the German statistics, the Anglo-Portuguese figures show the Portuguese government favoured the British in financial relations, an active choice by Salazar to maintain the Portuguese Empire.


2021 ◽  
Vol 11 (1) ◽  
pp. 24
Author(s):  
Victoria Abou-Khalil ◽  
Samar Helou ◽  
Eliane Khalifé ◽  
MeiRong Alice Chen ◽  
Rwitajit Majumdar ◽  
...  

We aim to identify the engagement strategies that higher education students, engaging in emergency online learning in low-resource settings, perceive to be effective. We conducted a sequential mixed-methods study based on Moore’s interaction framework for distance education. We administered a questionnaire to 313 students engaging in emergency online learning in low-resource settings to examine their perceptions of different engagement strategies. Our results showed that student–content engagement strategies, e.g., screen sharing, summaries, and class recordings, are perceived as the most effective, closely followed by student–teacher strategies, e.g., Q and A sessions and reminders. Student–student strategies, e.g., group chat and collaborative work, are perceived as the least effective. The perceived effectiveness of engagement strategies varies based on the students’ gender and technology access. To support instructors, instructional designers, and researchers, we propose a 10-level guide for engaging students during emergency online classes in low-resource settings.


2021 ◽  
Vol 6 (1) ◽  
pp. 2
Author(s):  
Liliana Anchidin-Norocel ◽  
Sonia Amariei ◽  
Gheorghe Gutt

The aim of this paper is the development of a sensor for the quantification of nickel ions in food raw materials and foods. It is believed that about 15% of the human population suffers from nickel allergy. In addition to digestive manifestations, food intolerance to nickel may also have systemic manifestations, such as diffuse dermatitis, diffuse itching, fever, rhinitis, headache, altered general condition. Therefore, it is necessary to control this content of nickel ions for the health of the human population by developing a new method that offers the advantages of a fast, not expensive, in situ, and accurate analysis. For this purpose, bismuth oxide-screen-printed electrodes (SPEs) and graphene-modified SPEs were used with a very small amount of dimethylglyoxime and amino acid L-histidine that were deposited. A potentiostat that displays the response in the form of a cyclic voltammogram was used to study the electrochemical properties of nickel standard solution with different concentrations. The results were compared and the most sensitive sensor proved to be bismuth oxide-SPEs with dimethylglyoxime (Bi2O3/C-dmgH2) with a linear response over a wide range (0.1–10 ppm) of nickel concentrations. Furthermore, the sensor shows excellent selectivity in the presence of common interfering species. The Bi2O3/C-dmgH2 sensor showed good viability for nickel analysis in food samples (cocoa, spinach, cabbage, and red wine) and demonstrated significant advancement in sensor technology for practical applications.


Materials ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3365
Author(s):  
Justyna Zygmuntowicz ◽  
Magdalena Gizowska ◽  
Justyna Tomaszewska ◽  
Paulina Piotrkiewicz ◽  
Radosław Żurowski ◽  
...  

This work focuses on research on obtaining and characterizing Al2O3/ZrO2 materials formed via slip casting method. The main emphasis in the research was placed on environmental aspects and those related to the practical use of ceramic materials. The goal was to analyze the environmental loads associated with the manufacturing of Al2O3/ZrO2 composites, as well as to determine the coefficient of thermal expansion of the obtained materials, classified as technical ceramics. This parameter is crucial in terms of their practical applications in high-temperature working conditions, e.g., as parts of industrial machines. The study reports on the four series of Al2O3/ZrO2 materials differing in the volume content of ZrO2. The sintering process was preceded by thermogravimetric measurements. The fabricated and sintered materials were characterized by dilatometric study, scanning electron microscopy, X-ray diffraction, and stereological analysis. Further, life cycle assessment was supplied. Based on dilatometric tests, it was observed that Al2O3/ZrO2 composites show a higher coefficient of thermal expansion than that resulting from the content of individual phases. The results of the life cycle analysis showed that the environmental loads (carbon footprint) resulting from the acquisition and processing of raw materials necessary for the production of sinters from Al2O3 and ZrO2 are comparable to those associated with the production of plastic products such as polypropylene or polyvinyl chloride.


2016 ◽  
Vol 66 (2) ◽  
pp. 289-295
Author(s):  
Borche Stamatoski ◽  
Miroslava Ilievska ◽  
Hristina Babunovska ◽  
Nikola Sekulovski ◽  
Sasho Panov

AbstractMicrobiological control is of crucial importance in the pharmaceutical industry regarding the possible bacterial contamination of the environment, water, raw materials and finished products. Molecular identification of bacterial contaminants based on DNA sequencing of the hypervariable 16SrRNA gene has been introduced recently. The aim of this study is to investigate the suitability of gene sequencing using our selection of PCR primers and conditions for rapid and accurate bacterial identification in pharmaceutical industry quality control.DNA was extracted from overnight incubated colonies from 10 bacterial ATCC strains, which are common contaminants in the pharmaceutical industry. A region of bacterial 16SrRNA gene was analyzed by bidirectional DNA sequencing. Bacterial identification based on partial sequencing of the 16SrRNA gene is the appropriate method that could be used in the pharmaceutical industry after adequate validations. We have successfully identified all tested bacteria with more than 99 % similarity to the already published sequences.


2012 ◽  
Vol 503-504 ◽  
pp. 498-502 ◽  
Author(s):  
Lan Qing Feng ◽  
Yan Jun Liu

Based on the main features of coolsmart fiber and the theory of knitted fabric structures, two structures of sports and leisure knitted fabrics with fast moisture absorption, description and anti-bacterial function are introduced in this article, detailing the selection of raw materials, pattern formation effect, the machine code organization and cam set out.


2018 ◽  
Vol 10 (8) ◽  
pp. 1285 ◽  
Author(s):  
Reza Attarzadeh ◽  
Jalal Amini ◽  
Claudia Notarnicola ◽  
Felix Greifeneder

This paper presents an approach for retrieval of soil moisture content (SMC) by coupling single polarization C-band synthetic aperture radar (SAR) and optical data at the plot scale in vegetated areas. The study was carried out at five different sites with dominant vegetation cover located in Kenya. In the initial stage of the process, different features are extracted from single polarization mode (VV polarization) SAR and optical data. Subsequently, proper selection of the relevant features is conducted on the extracted features. An advanced state-of-the-art machine learning regression approach, the support vector regression (SVR) technique, is used to retrieve soil moisture. This paper takes a new look at soil moisture retrieval in vegetated areas considering the needs of practical applications. In this context, we tried to work at the object level instead of the pixel level. Accordingly, a group of pixels (an image object) represents the reality of the land cover at the plot scale. Three approaches, a pixel-based approach, an object-based approach, and a combination of pixel- and object-based approaches, were used to estimate soil moisture. The results show that the combined approach outperforms the other approaches in terms of estimation accuracy (4.94% and 0.89 compared to 6.41% and 0.62 in terms of root mean square error (RMSE) and R2), flexibility on retrieving the level of soil moisture, and better quality of visual representation of the SMC map.


2017 ◽  
Vol 2017 ◽  
pp. 1-11
Author(s):  
Qian Meng ◽  
Jianfeng Ma ◽  
Kefei Chen ◽  
Yinbin Miao ◽  
Tengfei Yang

User authentication has been widely deployed to prevent unauthorized access in the new era of Internet of Everything (IOE). When user passes the legal authentication, he/she can do series of operations in database. We mainly concern issues of data security and comparable queries over ciphertexts in IOE. In traditional database, a Short Comparable Encryption (SCE) scheme has been widely used by authorized users to conduct comparable queries over ciphertexts, but existing SCE schemes still incur high storage and computational overhead as well as economic burden. In this paper, we first propose a basic Short Comparable Encryption scheme based on sliding window method (SCESW), which can significantly reduce computational and storage burden as well as enhance work efficiency. Unfortunately, as the cloud service provider is a semitrusted third party, public auditing mechanism needs to be furnished to protect data integrity. To further protect data integrity and reduce management overhead, we present an enhanced SCESW scheme based on position-aware Merkle tree, namely, PT-SCESW. Security analysis proves that PT-SCESW and SCESW schemes can guarantee completeness and weak indistinguishability in standard model. Performance evaluation indicates that PT-SCESW scheme is efficient and feasible in practical applications, especially for smarter and smaller computing devices in IOE.


2010 ◽  
Vol 46 (4) ◽  
pp. 679-685 ◽  
Author(s):  
Oscar Flórez-Acosta ◽  
Gloria Tobón-Zapata ◽  
Jaime Valencia-Velasquez

With the purpose of enabling the analysis by digital methods of particles of multisource pharmaceutical raw materials, this study analyzed different crystal habits of ampicillin particles, by grouping the external shapes obtained from 3 different solvents (acetonitrile, ethanol, and methanol), thereby reducing the number of descriptors necessary to adequately represent each shape. For this purpose, a selection of morphological descriptors was used including: circularity, roughness, roundness, compactness, aspect ratio, effective diameter, solidity, convexity, fractal dimension, and 10 Complex Fourier descriptors. These measures cover highly diverse morphological properties and define the crystal habit of a particle. Principal Component Analysis (PCA) and the Cluster Analysis (CA) were the grouping techniques used, which demonstrated the possibility of using between 2 and 4 descriptors instead of the 18 proposed initially.


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