Alignment Process Research Articles

Technological Pedagogical Content Knowledge (TPACK) Framework for Science Teachers’ Comptences in Facing Global Challenges and Issues: A Narrative Literature Review

<span lang="EN-US">Technological developments have made technology-assisted learning an essential part of educational areas. However, integrating technology in education requires teachers’ competency, called technological pedagogical content knowledge (TPACK). This study reviews the current body literature of TPACK regarding teachers’ challenges and demands of learning with global issues, such as the Industrial Revolution 4.0 and the SDGs 2030 agenda. Researchers employed Narrative Literature Review (NLR), where we reviewed TPACK, teacher competence, and challenges to global issues in education studies from various published articles. This study found a total of 27 articles published in the last ten years. In this study, NLR was carried out in 4 main stages: determining the topic, finding sources and references, analyzing relevant sources, and synthesizing the findings into a structured and informative narrative. The NLR results show that: 1) the form and type of technology integration in education needs to pay attention to aspects of pedagogy and content knowledge so the determination and use of technology in education can work effectively according to the characteristics of students and the content being taught; 2) forms and types of technology integration have been used include virtual labs, molecular and particle animation media, smartphone applications, and augmented reality; and 3) technology integration in the learning process indicated initial, core, and closing activities requiring various approach. Utilizing technology in education within the initial, core, and closing activities requires considering type and form of technology used according to pedagogical aspects (setting learning objectives) and content aspects (depth and breadth of material at each stage). The study results highlighted teachers' competencies on TPACK to effectively support teaching and learning processes in alignment with global needs and challenges.</span>

Bub1 and Bub3 regulate metabolic adaptation via macrolipophagy in Drosophila

Lipophagy, the process of selective catabolism of lipid droplets (LDs) by autophagy, maintains lipid homeostasis and provides cellular energy under metabolic adaptation, yet its underlying mechanism remains largely ambiguous. Here, we show that the Bub1-Bub3 complex, the crucial regulator involved in the whole process of chromosome alignment and separation during mitosis, controls the fasting-induced lipid catabolism in the fat body (FB) of Drosophila. Bidirectional deviations of the Bub1 or Bub3 level affect the consumption of triacylglycerol (TAG) of fat bodies and the survival rate of adult flies under starving. Moreover, Bub1 and Bub3 work together to attenuate lipid degradation via macrolipophagy upon fasting. Thus, we uncover physiological roles of the Bub1-Bub3 complex on metabolic adaptation and lipid metabolism beyond their canonical mitotic functions, providing insights into the invivo functions and molecular mechanisms of macrolipophagy during nutrient deprivation.

P‐12.13: Novel Phase Separation Reactive Mesogen for Speeding Polymer‐stabilized Vertical Alignment Process

Well known the polymer‐stabilized vertically aligned (PS‐VA) liquid crystal display (LCD) has been extensively using for TV application. However, for the purpose of energy saving during the UV exposure process, there is still no available reactive mesogen solution at PS‐VA mode. In this paper, through the Gaussian program calculation, we have investigated the novel reactive mesogen with high reactivity at the wavelength of 313 nm compared to the current commercial reactive mesogen. By using this novel reactive mesogen at PS‐VA process, there is a positive performance to shorten 74% both UV1 and UV2 curing time. The polymer bump size of novel reactive mesogen is quite smaller after UV curing process. After UV curing process by using both novel reactive mesogen and current commercial reactive mesogen under the same host mixture separately, the optical and reliability performance are also comparable in between.

An Improved In-Motion Coarse Alignment Method for SINS/GPS Integration with Initial Velocity Error Suppression.

The integrated system with the strapdown inertial navigation system (SINS) and the global positioning system (GPS) is the most popular navigation mode. It has been used in many navigation fields. Before the integrated system works properly, it must determine the initial attitude for SINS. In SINS/GPS-integrated systems, the navigational velocity can be used to carry out the initial alignment when the system is installed in the in-motion vehicle. However, the initial velocity errors are not considered in the current popular in-motion alignment methods for SINS/GPS integration. It is well-known that the initial velocity errors must exist when the initial velocity is obtained from the GPS outputs. In this paper, an improved method was proposed to solve this problem. By analyzing the original observation vectors in the in-motion coarse alignment method, an average operation was used to construct the intermediate vectors, and the new observation vector can be calculated by subtracting the intermediate vector from the original observation vector. Then, the initial velocity errors can be eliminated from the newly constructed observation vector. Thus, the interferences of the initial velocity errors for the initial alignment process can be suppressed. The simulation and field tests are designed to verify the performance of the proposed method. The tests results showed that the proposed method can obtain the higher accurate results than the current methods when the initial velocity is considered. Additionally, the results of the proposed method were similar to the current methods when the initial velocity errors were not considered. This shows that the initial velocity errors were eliminated effectively by the proposed method, and the alignment accuracy were not decreased.

Rapid gemstone mineral identification using portable Raman spectroscopy

AbstractMineral identification is the first step in gemstone characterization, which is the foundation for maintaining transparency in gemstone trading. Current techniques have complex protocols and require expensive instrumentation, severely restricting their use to trained experts or large gemological laboratories and limiting the processing speed. A simple and inexpensive automatic identification instrument can fulfill the needs of the Gemology Society. Hence, we propose a portable setup for the automatic mineral identification of gemstones based on a custom‐built 405 nm Raman spectroscopy probe system. This device enables the noninvasive mineral identification of commonly encountered loose or mounted gemstone materials in the market and generates the results in seconds. It is mechanically designed to allow safe operation under normal office conditions, and the pre‐aligned sample stage significantly simplifies the sample alignment process. Fifty‐seven types of gemstone materials in the trading market were tested with the device to prove the usability of the system. The primary purpose of this device is to automatically identify the types of minerals in the gemstones. It can also be extended to identify lab‐grown gemstones in the selected mineral species.

PENYELARASAN KURIKULUM SMK KOMPETENSI KEAHLIAN TEKNIK KENDARAAN RINGAN OTOMOTIF DENGAN KOMPETENSI INDUSTRI

<p>The development of this fast era makes competition to get a job to increase and become more difficult. In the current competition in the industrial world, it demands an increase in the quality of Human Resources through education. Vocational High School Education also prepares its graduates to go directly into the world of industry, but there are still limitations between the need for human resources in industry and the human resources produced by educational institutions. So therefore<strong> </strong>Curriculum development in Vocational High Schools is developed by prioritizing the needs of society, one of which is the need to be able to compete directly in industry. The aims of this research are: (1) To find out the alignment process between the SMK curriculum and industry. (2) Knowing how far the curriculum in SMK is aligned with the world of work in industry. (3) Knowing whether the SMK curriculum with industry is feasible. The method used in the automotive concentration curriculum alignment activities at SMKs uses a qualitative approach with descriptive research. Data collection techniques using techniquespupose sampling. Data collection techniques in this study used data collection techniques in the form of interviews, documents, and observations. The research documents include the Merdeka Curriculum, K13 Curriculum, service books, vehicle inspection sheets, and the results of the FGD minutes. Data analysis techniques in this study used content analysis techniques (analysis content). The research locations were limited to 2 SMK, namely: SMKN 2 Surakarta and SMK Warga Surakarta and three industries, namely: Toyota Nasmoco Ringroad, Daihatsu Adi Sucipto, and Suzuki Pabelan (PT. Solo Indonesia Utama). The data obtained is then juxtaposed between the curriculum and competencies in the industry in tabular form so that it can be seen which curriculum and competencies are not aligned. The results of this study are: The curriculum between automotive engineering vocational schools and industrial competencies is aligned, this is evidenced by the existenceforum grub discussion (FGD) between the SMK and the automotive industry.<em></em></p>

How to facilitate the implementation of 3D models in China by applying good in vitro method practice for regulatory use.

The Organization for Economic Co-operation and Development (OECD) Guidance Document No. 34 and No. 286 on Good In Vitro Method Practices (GIVIMPs) for the development and implementation of in vitro methods for regulatory use in human safety assessment have been endorsed. Considering that China is accelerating the development of alternative approaches in both research and acceptance, early application of these principles is beneficial to the implementation and acceptance of in vitro alternative methods in China. To promote the replacement of animal testing for regulatory use, L'Oréal initiated the EpiSkin™ skin irritation test (SIT) implementation program in China. More than 50 external scientists participated, and the method has been established in 34 organizations including authorities, industries, and testing service laboratories. Taking two collaborations with Guangdong CDC and Shanghai SGS for in vitro SIT as examples, we demonstrated a method implementation process in good alignment with the OECD principles. The current study illustrated the practical way in which both OECD Guidance documents assisted in the transfer and establishment of in vitro approaches and further promoted the future scientific recognition and acceptance of new OECD-accepted alternative testing methodologies in China.

Laser Tracker-Based on-the-Fly Machine Tool Calibration without Real-Time Synchronization

Consistent high volumetric performance of machine tools is an essential requirement for high-quality machining. Periodic machine tool calibration ensures said performance and allows for timely corrective actions preventing scrap or rework. Reducing the duration of the calibration process decreases associated cost through non-productive downtime and allows for data acquisition in thermal real-time. The authors enhance an indirect calibration method based on measuring points within the machine volume using a laser tracker by removing the necessity for standstill. To circumvent requiring high fidelity space and time synchronization between metrology system and machine tool, only deviations perpendicular to the path are considered. To do so, the 3D laser tracker data are rotationally transformed such that one axis aligns with the motion direction and can subsequently be omitted as input data for the system of equations solving for geometric errors. Due to the absence of unique measurement-point-to-machine-point mapping, data alignment between nominal path and measurement data is proposed as an iterative alignment process of points to path. The method is tested simulatively and experimentally. It demonstrated conformity to the simulation as well as to the pre-existing calibration method based on laser trackers and shows good agreement with the direct calibration device API XD Laser.

An Adaptive Multiple Backtracking UKF Method Based on Krein Space Theory for Marine Vehicles Alignment Process

The large misalignment errors of horizontal and azimuthal angle cannot be converged rapidly on the sea surface due to extra disturbance of linear and angular motions caused by wind and waves, which increases the time cost of marine vehicles alignment process and ultimately limits the SINS quick working capability. In order to solve the above problem, an adaptive multiple backtracking UKF method based on Krein space theory is proposed in this paper. Firstly, considering time-varying calibration errors of inertial sensors, a novel robust posterior filtering equation in Krein space is designed to improve the matching degree between the physical process and the mathematical model. Moreover, combined with the multiple forward and reverse navigation processes, an adaptive calculation times control method in backtracking UKF based on the innovation is constructed to solve the nonlinear fast alignment problem in the case of large misalignment angle errors with the purpose of further intelligently shortening the alignment time and ensuring alignment accuracy simultaneously in different periods and working environments. The physical experiment results demonstrate that the horizontal and azimuthal alignment accuracy of the proposed algorithm are improved compared with standard CKF alignment algorithm.

Improving performance of medical image alignment through super-resolution.

Medical image alignment is an important tool for tracking patient conditions, but the quality of alignment is influenced by the effectiveness of low-dose Cone-beam CT (CBCT) imaging and patient characteristics. To address these two issues, we propose an unsupervised alignment method that incorporates a preprocessing super-resolution process. We constructed the model based on a private clinical dataset and validated the enhancement of the super-resolution on alignment using clinical and public data. Through all three experiments, we demonstrate that higher resolution data yields better results in the alignment process. To fully constrain similarity and structure, a new loss function is proposed; Pearson correlation coefficient combined with regional mutual information. In all test samples, the newly proposed loss function obtains higher results than the common loss function and improve alignment accuracy. Subsequent experiments verified that, combined with the newly proposed loss function, the super-resolution processed data boosts alignment, can reaching up to 9.58%. Moreover, this boost is not limited to a single model, but is effective in different alignment models. These experiments demonstrate that the unsupervised alignment method with super-resolution preprocessing proposed in this study effectively improved alignment and plays an important role in tracking different patient conditions over time.

Interaction Multi-Agent Models' Automatic Alignment with MDA Higher Abstraction Level

With the massive growth of the software sector as well as the erratic needs of end users, agent-based information systems and Model Driven Architecture (MDA) approach are among the liveliest and significant fields of experimentation and improvement to emerge in the recent decade. In this vein, we suggest in this research an innovative method that automates the construction and the generation processes of the interaction multi-agent models from the business requirements engineering models at the MDA highest abstraction levels. So, our defiance is to align the Agent Modeling Language (AML) Communicative Interaction diagram with the E3value model dealing with the MDA approach. The ATLAS-Transformation Language (ATL) is applied to automate the model alignment process. The goal is to reduce project effort, time, and development costs as all alignment process is automatically done, boosting the chances of being more competitive in the software business.

Ultra-Highly Cross-Aligned AgNWs Network by a Facile Liquid-Bridge Assisted Couette-Flow Solution Process: Toward Mass-Producing High-Performance Flexible Transparent Electrodes

Open AccessCCS ChemistryRESEARCH ARTICLES18 Jan 2023Ultra-Highly Cross-Aligned AgNWs Network by a Facile Liquid-Bridge Assisted Couette-Flow Solution Process: toward Mass-Producing High-Performance Flexible Transparent Electrodes Xiaoxun Li, Lili Meng, Min Zhang, Kejie Zhang, Lei Jiang and Huan Liu Xiaoxun Li Google Scholar More articles by this author , Lili Meng Google Scholar More articles by this author , Min Zhang Google Scholar More articles by this author , Kejie Zhang Google Scholar More articles by this author , Lei Jiang Google Scholar More articles by this author and Huan Liu Google Scholar More articles by this author https://doi.org/10.31635/ccschem.023.202302694 SectionsSupplemental MaterialAboutPDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareFacebookTwitterLinked InEmail Cross-aligned silver nanowires (CA-AgNWs), a unique network widely used in flexible transparent electrodes (FTEs), have been well developed using various solution processes. However, these approaches suffered from limitations of both the large alignment deviation and the solution waste, especially in large-area fabrication, which deteriorates the performance of FTEs. Here, we developed a facile liquid-bridge assisted Couette-flow solution shearing approach, which enables aligning AgNWs into a highly ordered horizontal array in a large area (120 cm2). Particularly, the alignment deviation, evaluated by the statistic full width at half-maximum (FWHM), is rather small with a value of ca. 12.6, by several times lower than those made by other solution processes. The fibrous liquid-bridge is responsible for transferring liquid steadily onto the substrate, during which process AgNWs are aligned roughly by the solution shearing. Worthnoting is the following further aligning process under the enhanced shearing force by the Couette-flow. Consequently, the ultra-highly CA-AgNWs network was prepared, leading to a high-performance FTE with high conductivity (7 Ω sq-1), high transparency (93 %), long lifetime (over 180 days), good adhesion-stability (200 times tape test) and good flexibility. Moreover, the strategy is applicable for the mass-production, benefiting for the practical application of high-performance optoelectronic devices. Download figure Download PowerPoint Previous articleNext article FiguresReferencesRelatedDetails Issue AssignmentVolume 0Issue jaPage: 1-32Supporting Information Copyright & Permissions© 2023 Chinese Chemical Society Downloaded 0 times PDF downloadLoading ...

Dynamics Modeling and Redundant Force Optimization of Modular Combination Parallel Manipulator

The limb-driving force mutation of the modular combination parallel manipulator (MCPM) affects the alignment process of optical axis. In this paper, a novel optimization method based on the force mutation penalty term is proposed to solve the problem of driving force mutation. The kinematics and dynamics models of the manipulator are established using a modularization idea, reducing the complexity of the modeling process, and verified using co-simulation. Moreover, particle swarm optimization (PSO) is applied as an optimization tool. The effectiveness of the proposed method is confirmed by comparing it with the minimize-the-maximum and Moore–Penrose (M–P) methods, which are widely used to solve parallel manipulators with redundant drives.

Aligning heterogeneous optimization problems with optimal correspondence assisted affine transformation for evolutionary multi-tasking

Evolutionary multi-tasking optimization (EMTO) aims to boost the overall efficiency of optimizing multiple tasks by triggering knowledge transfer among them. Unfortunately, it may suffer from negative transfer on heterogeneous composite tasks that have low similarity. Some studies try to learn an intertask alignment transformation based on the paired samples from the involved tasks, but risk a failed alignment with improper pairwise methods. To solve this issue, this study proposes an optimal correspondence assisted affine transformation (OCAT) algorithm. OCAT explicitly constructs a mathematical model for the intertask alignment problem and theoretically deduces its optimal solution in an iterative method. As a result, the sample correspondences that enable the learned transformation to achieve the maximum intertask similarity can be located. Besides, a novel approach to deriving the affine transformation formula is also developed for OCAT. The resulting affine alignment transformation will not impair the knowledge contained in the tasks during the alignment process. By integrating OCAT with the estimation of distribution algorithm, this study finally develops a many-tasking optimization algorithm named MaT-EDA, where the solutions from other tasks are explicitly transferred as the samples for estimating the current distribution model. Extensive simulation studies have indicated that OCAT can significantly enhance the performance of EMTO, and MaT-EDA also achieves impressive many-tasking optimization performance.

Institutionalization of European Union membership of the Republic of Moldova

Moldova is a parliamentary democracy that has recently embarked on a strong reform agenda despite a series of exogenous crises. The parliamentary nature of the democracy has been confirmed by recent competitive elections at parliamentary and presidential level. The country’s legal and constitutional framework largely corresponds to European and international standards. As regards the political criteria, Moldova has a solid foundation in place to reach the stability of institutions guaranteeing democracy, the rule of law, human rights and respect for and protection of minorities. As regards the economic criteria, Moldova has pursued reasonably sound macroeconomic policies, significantly strengthened financial sector stability, and improved the business environment. Speaking about capacity to fulfil the obligations of membership, Moldova has worked since 2016 on the implementation of the EU-Moldova Association Agreement, including a Deep and Comprehensive Free Trade Area (AA/DFCTA). These agreements already capture significant amount of the EU acquis and Moldova has gradually taken up the alignment process across many sectors and has a satisfactory track record of implementation. Overall, Moldova is a European State committed to respecting and promoting the values on which the European Union is founded.

Investigation of the Process of Plant Swath Alignment in the Second Stage of the Fiber Flax Swath Harvesting

Investigation of the Process of Plant Swath Alignment in the Second Stage of the Fiber Flax Swath Harvesting

To Align or Misalign?: Interpreting INGO-State Partnership in Cambodia

ABSTRACT This article uses ethnographic and interview methods to compare two international nongovernmental organizations (INGOs) implementing public health programs in Cambodia. Both INGOs formally adopt the same policy, developing state partnership, but implement this policy very differently. One INGO successfully aligns the policy with on-the-ground practice, while the other organization is unable and unwilling to successfully cooperate with local state officials. I argue that previous research on international development organizations, policy convergence, and divergence in implementation needs to be expanded to analytically specify the process of policy alignment and misalignment. Drawing on the inhabited institutions perspective, I illustrate how global policies are made meaningful in intra- and inter-organizational interactions through a two-step process: (1) operationalization in which the broad policy is translated into specific programming and (2) implementation in which local actors do or do not align the policy with actual practice in Cambodia. This article offers a method for systematically theorizing policy alignment or misalignment with practice in international organizations.

Semantic-aware alignment and label propagation for cross-domain arrhythmia classification

Cross-domain arrhythmia classification (CAC) aims to transfer the model trained on a label-sufficient source domain to a label-scarce target domain. To the best of our knowledge, almost all existing CAC models focus on the unsupervised setting, where no labeled target samples are available. However, in most practical scenes, acquiring limited annotated target samples is feasible, which can provide reliable target semantic information for model learning directly. Consequently, we first propose a more realistic semi-supervised CAC setting, where only the source samples and extremely limited target samples are annotated. Most previous CAC models realize cross-domain learning by aligning the feature distributions of source and target domains coarsely and globally, where the semantic invariance within each class is not taken into consideration during the domain alignment process. Additionally, the semantic information contained in the feature space is not fully utilized for target pseudo label mining. To address the above two issues, a unified framework containing the semantic-aware feature alignment (SAFA) and prototype-based label propagation (PBLP) modules is proposed. In the proposed framework, SAFA and PBLP are complementary to each other. Specifically, SAFA provides more robust prototypes for PBLP by performing semantic-aware feature alignment, and PBLP offers more reliable target pseudo labels for more effective semantic-aware feature alignment learning. Comprehensive qualitative and quantitative experimental results on different benchmarks verify the effectiveness of the proposed method.

A Novel Policy Alignment and Enhancement Process to Improve Sustainment of School-Based Physical Activity Programming.

The purpose of the current study was twofold: (1) to evaluate the strength and comprehensiveness of district wellness policies in one central Michigan intermediate school district (ISD; 16 districts), and (2) to pilot a novel policy alignment and enhancement process in one district within the ISD to improve sustainment of district-wide physical activity (PA) programming. Policy evaluation and alignment were determined using WellSAT 3.0. The Exploration, Preparation, Implementation, Sustainment (EPIS) framework was used to guide a seven-step policy alignment and enhancement process. Initial evaluation of the PA policy for the ISD revealed a strength score of 19/100 (i.e., included weak and non-specific language) and 31/100 for comprehensiveness (i.e., mentioned few components of the Comprehensive School Physical Activity Program). For the pilot school district, initial strength scores were 19/100 and 38/100 for comprehensiveness (exploration). An alignment of the tailored PA policy with current practices resulted in a 100% increase in strength (score of 38/100), and 132% increase in comprehensiveness (score of 88/100; preparation). However, district administrators encountered barriers to adopting the tailored policy and subsequently integrated the PA requirements into their curriculum guide and school improvement plan (implementation and sustainment). Future research should examine the effectiveness of our EPIS-informed policy evaluation, alignment, and enhancement process to promote widespread increases in student PA.

Evolutionary Image Registration: A Review.

Image registration is one of the most important image processing tools enabling recognition, classification, detection and other analysis tasks. Registration methods are used to solve a large variety of real-world problems, including remote sensing, computer vision, geophysics, medical image analysis, surveillance, and so on. In the last few years, nature-inspired algorithms and metaheuristics have been successfully used to address the image registration problem, becoming a solid alternative for direct optimization methods. The aim of this paper is to investigate and summarize a series of state-of-the-art works reporting evolutionary-based registration methods. The papers were selected using the PRISMA 2020 method. The reported algorithms are reviewed and compared in terms of evolutionary components, fitness function, image similarity measures and algorithm accuracy indexes used in the alignment process.