scholarly journals A Novel Approach to Professional Development in Middle School Science: Instructional Coaching by University Professors to Improve the Instructional Core

2017 ◽  
Vol 6 (2) ◽  
pp. 59
Author(s):  
Nadine Mchenry ◽  
Laurie Borger ◽  
Louise Liable-Sands
Keyword(s):  
Instructional Coaching ◽  
School Science ◽  
District Leadership ◽  
Middle Level ◽  
University Professors ◽  
Novel Approach ◽  
Instructional Core ◽  
Science Proficiency ◽  
Upper Level ◽  
Curricular Materials

The current study was constructed based on the recommendations of a previous study (McHenry & Borger, 2013).Though inquiry-based teaching has long been touted as an effective pedagogy, its application by middle schoolscience teachers has been problematic. Using tools developed from the previous study in conjunction withprofessional development grounded in instructional coaching, the program attempted to support middle schoolteachers in making informed instructional decisions that enhance classroom practices to support students in reachingfull science proficiency. Over the two and one-half year span of the program, researchers found that middle schoolteachers were able to embrace major facets of the 5E model of inquiry. While their view of the nature of scienceexpanded slightly, they still struggle with ideas related to argumentation and theory building. The impediments thatinfluenced the success and continuation of the program were three-fold. There was a lack of administrativepartnership due to a change in upper-level district leadership. The decision to adopt new curricular materials wascounter to the goals of the inquiry-based teaching model and was adopted without discussion with the universitycoaches. There was inadequate time allotted to the program in the last year. Though administrative difficulties led tothe discontinuation of the program, the enthusiasm exhibited by the middle level teachers speaks to the need for aninstructional coaching partnership that provides this type of sustained, reform-based, transformational professionaldevelopment that enhances the instructional core.

scholarly journals THE COMPOSITION OF THE POPULATION BURIED AT THE SCYTHIAN AGE CEMETERY NEAR SVITLOVODSK CITY (ACCORDING TO CRANIOLOGY)

2021 ◽  
Vol 40 (3) ◽  
pp. 282-292
Author(s):  
S. I. Kruts ◽  
T. O. Rudych
Keyword(s):  
Middle Level ◽  
Medium Size ◽  
Forest Steppe ◽  
Left Bank ◽  
Burial Ground ◽  
Male Population ◽  
The Face ◽  
Burial Mounds ◽  
Upper Level ◽  
The Village

The anthropological composition of the population buried at the cemetery of the Scythian Age near Svitlovodsk city (Kirovograd region) is analyzed in the paper. The burial ground is located on the border of the Forest-Steppe and Steppe Zones of the Right Bank of the Dnieper. The anthropological material under study comes from cemetery without mounds. Archaeologists date the main massif of burials to the 4th century BC. The anthropological composition of the population that was buried at this burial ground was not homogenous. The male series of skulls is characterized by a long, medium-wide, high, dolichocranic skull. The face is of medium size, it is mesognathic. The horizontal profile of the face at the upper level is medium, but with a tendency to the sharp; at the middle level, the face is strongly profiled. The orbital and nasal indexes are medium. The bones of the nose are moderately protruding. The average characteristics of the male population fit into the range of variations of the Scythian series. The male series belongs morphologically and statistically to the circle of the steppe Scythian groups. The male group from the burial ground near the city of Svitlovodsk is close to the series from the Nikolaevka burial ground on the Dnister River, the group of skulls from the burial mounds near the village of Shirokoe (Left Bank of the Dnieper River), the group of skulls from the burial mounds near the village of Vyshchetarassivka, a series of skulls from the Mykhailivka burial ground. Of the forest-steppe series, only the combined group of skulls from the Trypillya region is somewhat close to it. All these statistically and morphologically similar groups originate from different territories. This illustrates the specifics of the settlement and demonstrates the mobility of the Scythian groups. The female series from the burial ground is characterized by a long, narrow, medium-high skull, mesocranic in shape. The size of the face is small, it is mesognathic. The horizontal profile of the face at the upper level is moderate, at the zygomaxilar level it belongs to the category of sharp, but with a tendency to moderate. The orbital index is medium, the nasal index belongs to the large category. The bones of the nose are medium protruding. The female series from Svitlovodsk burial ground turns out to be the most gracile among the Scythian series in Ukraine. For this reason, it differs significantly from the entire massif of the steppe Scythian series. The closest to the Svitlovodsk series is a group from mounds near Nikopol.

scholarly journals Assessing the Effects of Microphysical Scheme on Convective and Stratiform Characteristics in a Mei-Yu Rainfall Combining WRF Simulation and Field Campaign Observations

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Lin Liu ◽  
Chunze Lin ◽  
Yongqing Bai ◽  
Dengxin He
Keyword(s):  
Wrf Model ◽  
Cloud Microphysics ◽  
Middle Level ◽  
Weather Research And Forecasting ◽  
Field Campaign ◽  
Microphysical Properties ◽  
Double Moment ◽  
Storm Dynamics ◽  
Precipitation Structure ◽  
Upper Level

Microphysics parameterization becomes increasingly important as the model grid spacing increases toward convection-resolving scales. Using observations from a field campaign for Mei-Yu rainfall in China, four bulk cloud microphysics schemes in the Weather Research and Forecasting (WRF) model were evaluated with respect to their ability to simulate precipitation, structure, and cloud microphysical properties over convective and stratiform regimes. These are the Thompson (THOM), Morrison graupel/hail (MOR_G/H), Stony Brook University (SBU_YLIN), and WRF double-moment six-class microphysics graupel/hail (WDM6_G/H). All schemes were able to predict the rain band but underestimated the total precipitation by 23%–35%. This is mainly attributed to the underestimation of stratiform precipitation and overestimation of convective rain. For the vertical distribution of radar reflectivity, many problems remain, such as lower reflectivity values aloft in both convective and stratiform regions and higher reflectivity values at middle level. Each bulk scheme has its advantages and shortcomings for different cloud regimes. Overall, the discrepancies between model output and observations mostly exist in the midlevel to upper level, which results from the inability of the model to accurately represent the particle size distribution, ice processes, and storm dynamics. Further observations from major field campaigns and more detailed evaluation are still necessary.

scholarly journals Elements of Cyber-Socially Physical Systems in “Smart Cities”

2020 ◽  
Vol 19 ◽  
Keyword(s):  
Data Storage ◽  
Smart Cities ◽  
Middle Level ◽  
Transport Infrastructure ◽  
Environmental Sensors ◽  
Maximum Throughput ◽  
Physical Systems ◽  
Level Data ◽  
Upper Level ◽  
Single Data

The implementation of plans to create "smart cities" as one of the most important areas of the digital economy requires the priority development of transport infrastructure, ensuring the movement of people and goods within the city and adjacent territories. Safe operation and maximum throughput of the resulting cyberphysical system are possible provided that a diagnostic technology is created for transport infrastructure facilities, including video-based road conditions. The author's vision of the problems of mathematical modeling of cyber-physical systems in transport is presented as a three-level hierarchical structure, including environmental sensors at the lower level, data processing centers (DPC) at the middle level and a single data storage center for developing management decisions at the upper level. Prospects for data center modeling based on a multi-agent approach and a technical vision algorithm that is proposed to be implemented as a program on a mobile device to identify objects of transport infrastructure and their defects using stereometry are explored. The presented algorithm can be used in the planning of road repairs and buildings construction, in the analysis of road and buildings' accidents by expert engineers, in the processing of applications of inhabitants’ complaints, etc.

Immersing Future Middle-Level Science Educators in a Blended Learning Environment

2020 ◽  
pp. 227-245
Author(s):  
Christine Anne Royce
Keyword(s):  
Preservice Teachers ◽  
Learning Environment ◽  
Blended Learning ◽  
School Science ◽  
Lessons Learned ◽  
Middle Level ◽  
Methods Course ◽  
Future Teachers ◽  
Pedagogical Content ◽  
Use Of Technology

Current pre-service teachers are considered digital natives in that they have grown up with the use of technology. However, these future teachers often need explicit and modeled experiences to become a digital educator as they will be the future teachers in what has become an increasingly technological world that utilizes digital tools and applications. This chapter delves into the literature related to blended learning and preparing these preservice teachers to utilize technological pedagogical content knowledge (TPACK) within a blended learning environment (BLE). Through immersion in a middle school science methods course that utilized a BLE, preservice teachers were provided with relative experiences for their future teaching career. Lessons learned and reflections from the preservice teachers provide foundational information for future planning.

A relational analysis of drivers and barriers of lean manufacturing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bharat Singh Patel ◽  
Murali Sambasivan ◽  
R. Panimalar ◽  
R. Hari Krishna
Keyword(s):  
Lean Manufacturing ◽  
Structural Model ◽  
Middle Level ◽  
Lean Management ◽  
Content Type ◽  
Structural Hierarchy ◽  
Bottom Level ◽  
Lean Practices ◽  
Novel Approach ◽  
The Impact

PurposeThe purpose of this study is to categorize and analyse the drivers and barriers of Lean Manufacturing (LM) and subsequently, based on the structural model develop a house of lean management which will give an idea to the academicians and practitioners about the factors that are critical to implement lean practices in an organization.Design/methodology/approachA list of drivers and barriers was prepared based on the literature review and opinions from experts. Total Interpretive Structural Modelling (TISM) was utilized to build a structural hierarchy of the drivers and barriers of LM. The structural hierarchy was utilized to build the house of lean management.FindingsBased on the hierarchy developed, the elements (drivers and barriers) of LM are classified into three groups: bottom-level, middle-level and top-level elements. To develop a house of lean management, bottom-level of elements were considered as a foundation, middle-level elements were considered as pillars and top-level elements were considered as a beam. Finally, foundation, pillars and beam of the house were used to support the roof (which is value to customers and profitability to firm).Practical implicationsThe outcome of this research can assist researchers as well as practitioners to enhance the significant drivers and to reduce the impact of hazardous barriers for the better implementation of lean practices.Originality/valueThis research is a novel approach, as it visibly demonstrates both the drivers and barriers, examines the interrelationships among them in order and shows them pictorially as the house of lean management.

scholarly journals The Implications of Organizational Structure, Political Control, and Internal System Responsiveness on Whistleblowing Behavior

2018 ◽  
Vol 40 (1) ◽  
pp. 155-177 ◽  
Author(s):  
Hongseok Lee
Keyword(s):  
Organizational Structure ◽  
Social Factors ◽  
Middle Level ◽  
Political Control ◽  
Federal Employees ◽  
Internal System ◽  
Level Versus ◽  
System Responsiveness ◽  
Upper Level ◽  
Internal Whistleblowing

This study examines how organizational structure, political control, and internal system responsiveness to employee complaints or grievances influence U.S. federal employees’ internal and external whistleblowing. Although prior research has investigated a number of personal, organizational, and social factors that affect whistleblowing, very little research has examined the three factors that are the focus of this study and the roles that they might play in whistleblowing behavior. The results show that (a) wider spans of control of middle-level versus upper-level managers have opposite effects on internal whistleblowing, (b) fixed terms for agency leaders are negatively related to internal whistleblowing, and (c) internal system responsiveness to employee complaints or grievances has mixed effects on internal whistleblowing. This study concludes by discussing the implications of these findings and proposing effective ways to manage whistleblowing within public organizations.

scholarly journals Precursors to Convection over Peninsular India during March–May in AMSU-B Data

2006 ◽  
Vol 21 (5) ◽  
pp. 781-801 ◽  
Author(s):  
Dileep M. Puranik ◽  
R. N. Karekar
Keyword(s):  
Middle Level ◽  
The Other ◽  
Infrared Images ◽  
Peninsular India ◽  
Dry Air ◽  
Microwave Sounding Unit ◽  
Prior Literature ◽  
Microwave Sounding ◽  
Upper Level ◽  
High Level

Abstract In the present work the locations of precursors to summer thunderstorms over peninsular India are sought in images from the Advanced Microwave Sounding Unit-B (AMSU-B). At these locations, moisture maxima and brightness temperature (BT) minima may be expected. Prior literature suggests that the 150-GHz channel is useful in detecting the BT minima due to moisture in the lowest 1 km, the 183.3 ± 7- GHz channel is useful for detecting middle-level moist layers and clouds, and the other 183.3-GHz channels are useful for upper-air features such as high-level dry air incursion or upper-air troughs. Cloudy or moist pixels and low-emissivity ground pixels have similar BTs. The extraction of the locations of BT minima is therefore difficult. The scale 1 or 2 à trous wavelet transform (WT) allows unambiguous location of the BT minima due to clouds or moist regions from AMSU-B images. On 3–4 April 2001 there was a middle-level moisture incursion over the peninsula and on 17–18 April 2001 there was an upper-level dry air incursion. The wavelet components of AMSU-B data were extracted during these two events. From the Meteosat-5 infrared images it was verified that convection occurred within 2 h of the AMSU-B pass in the low-BT regions separated by the à trous WT. On the other hand, peninsular discontinuities on 3–4 April 2001 and 7 April 2002 and other days in 2002 showed that useful precursors could not be extracted from the 150-GHz signal. The BTs for the 150-GHz channel in dry air are affected significantly by ground altitude and by changes in surface emissivity. Failure and success in precursor detection are both attributed to the variability in the BTs.

Collaboration optimization model of dynamic traffic control and guidance based on Internet of Vehicles

2018 ◽  
Vol 32 (22) ◽  
pp. 1850253
Author(s):  
Zhi-Yuan Sun ◽  
Yue Li ◽  
Wen-Cong Qu ◽  
Yan-Yan Chen
Keyword(s):  
Travel Time ◽  
Traffic Control ◽  
Optimization Model ◽  
Programming Model ◽  
Urban Traffic ◽  
Middle Level ◽  
Internet Of Vehicles ◽  
Model Based ◽  
Level Model ◽  
Upper Level

In order to improve the comprehensive effect of Urban Traffic Control System (UTCS) and Urban Traffic Flow Guidance System (UTFGS), this paper puts forward a collaboration optimization model of dynamic traffic control and guidance based on Internet of Vehicles (IOV). With consideration of dynamic constraints of UTCS and UTFGS, UTCS is taken as the fast variable, and UTFGS is taken as the slow variable in the collaboration optimization modeling. The conception of Variable Cycle Management (VCM) is presented to solve the mathematical modeling problem under the background of the two variables. A unified framework for VCM is proposed based on IOV. The delay and travel time are calculated based on lane-group-based cell transmission model (LGCTM). The collaboration optimization problem is abstracted into a tri-level programming model. The upper level model is a cycle length optimization model based on multi-objective programming. The middle level model is a dynamic signal control decision model based on fairness analysis. The lower level model is a user equilibrium model based on average travel time. A Heuristic Iterative Optimization Algorithm (HIOA) is set up to solve the tri-level programming model. The upper level model is solved by Non-dominated Sorting Genetic Algorithm II (NSGA II), the middle level model and the lower level model are solved by Method of Successive Averages (MSA). A case study shows the efficiency and applicability of the proposed model and algorithm.

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