This study qualitatively examines the efforts of implementing teacher-led collaborative inquiry in American public schools to improve instruction. We focus on a model called Teacher Peer Excellence ...Group (TPEG), designed to capture the essence of Japanese lesson study and Chinese teaching-study groups that involve lesson planning, peer observations, feedback, and revision.
We conduct qualitative case studies in three pilot schools using a constructivist research paradigm.
We identify action steps essential to introducing and sustaining the TPEG model and pathways to local adaptation.
The study contributes to the body of research that seeks to understand the role of instructional leadership and teacher decision-making in successful school-level initiatives.
Firms in the Marche Region, Italy, seem to struggle with understanding the importance of Industry 4.0 technologies, including blockchain technology, and delay the adoption of these innovative ...technologies.
This paper is based on findings of three levels of qualitative analysis: the first one is a literature review; the second uses secondary sources about the diffusion of Industry 4.0 in the Marche Region and the local institutions and policies favouring it, retrieved from institutional websites and web searches; the third uses primary data which has been collected through an explorative survey conducted by sending a questionnaire to local innovative firms between 25th and the 27th of October 2022.
The literature review shows that collaboration between triple helix actors can foster innovation in firms. Secondary data about firms in the Marche Region describes an economy made prevalently of micro enterprises not capable of adopting Industry 4.0 technologies, and individuates some institutions located in the region having the role of innovation intermediaries that help firms innovate. Among the secondary sources, the new Smart Specialisation Strategy 2021-2027 of the Marche Region emphasises the role of Industry 4.0 for economic development which requires the involvement of the research and innovation actors present in the region. The survey conducted for this study shows that the firms that adopted Industry 4.0 technologies have strong ties and collaboration with triple helix institutions.
Based on the findings, a triple helix model is proposed to foster the diffusion of Industry 4.0 technologies in the Marche Region, where innovation intermediaries are called to manage knowledge flows both among them and between academia, government, and industry, to activate a virtuous cycle of innovation adoption and valorisation.
Background The Svalbard Archipelago is commonly believed to have been located at comparable latitude and, possibly, to have been attached to Laurentia in the early Paleozoic (500–420 Ma) based on ...trilobite assemblage similarities. Trilobite assemblage differences and lack of mixing between Laurentia–Svalbard and Baltica were further used to propose that these continents were separated by the Iapetus Ocean at that time. However, recent structural correlation of Timanian (650–550 Ma) thrust systems throughout the Barents Sea show that Svalbard was already attached to Baltica in the latest Neoproterozoic and remained so during the Phanerozoic. Methods The present study presents a new interpretation of seismic reflection data from the DISKOS database, which were tied to nearby exploration wells. The study uses recently acquired knowledge of the seismic facies of intensely deformed pre-Caledonian rocks and principles of sequence stratigraphy to interpret the data. Results The present study reconciles the proximity of Svalbard and Laurentia with the early accretion of Svalbard to Baltica in the latest Neoproterozoic. It also describes the influence of Timanian thrust systems on paleoenvironments and possible effects on trilobite assemblages, e.g. , the lack of mixing between those of Laurentia–Svalbard and Baltica. Conclusions The results suggest that paleontological constraints are robust markers to discuss continent amalgamation but should be considered with greater care when discussing continent separation since other factors, such as major thrust systems, may create major, linear, topographical boundaries, which may act as major faunal barriers within a single tectonic plate. Other factors to consider include paleoclimatic belts.
Background:
The Operational Design Domain (ODD) of an automated driving function defines on which roads and under
which environmental conditions the function is safe to operate. It plays an important ...role in definition, safety analysis and
validation of automated driving. In many cases, users want to determine metrics about ODDs, or about ODDs in combination
with other work products, like collections of validation scenarios. Such metrics could answer questions such as what percentage
of the road network of a given region is inside the ODD. While language formats to specify ODDs have emerged over the last
few years, a solid methodology on how to calculate different sorts of metrics is still on the roadmap for the future.
Methods:
This contribution suggests metrics for ODDs that are mathematically built upon a notion of ontologies, and ODDs
as multi-dimensional cross-products of sets, using standard arithmetic and set operations. To illustrate the idea, a couple of
possible metrics for ODDs are derived as examples and discussed in the light of some real-world use cases.
Results:
To illustrate the application of a ODD metric, we apply an analysis of a sample trip and calculate the theoretical
availability of variants of an automated driving system with different ODDs.
Conclusions:
The metrics presented and the shown sample application present an important next step in discussions around
ODDs of Automated Driving Systems. They make it possible to not only consider an ODD specification as a reference for a
single system, but allow comparing systems with different ODDs, judging the maturity of a system with a certain ODD, or
provide indicators how usable a system is within a real-word application
We present a genome assembly from an individual male
(the common buff snailkiller; Arthropoda; Insecta; Diptera; Sciomyzidae). The genome sequence is 790.4 megabases in span. Most of the assembly is ...scaffolded into 7 chromosomal pseudomolecules, including the X and Y sex chromosomes. The mitochondrial genome has also been assembled and is 17.07 kilobases in length.
We present a genome assembly from an individual female
Parasteatoda lunata
(spider; Arthropoda; Arachnida; Araneae; Theridiidae). The genome sequence is 1,411.4 megabases in span. Most of the ...assembly is scaffolded into 12 chromosomal, including the X
1
and X
2
sex chromosomes. The mitochondrial genome has also been assembled and is 14.29 kilobases in length.
We present a genome assembly from an individual male
(the Fulvous Clothes Moth; Arthropoda; Insecta; Lepidoptera; Tineidae). The genome sequence is 596.6 megabases in span. The whole assembly is ...scaffolded into 45 chromosomal pseudomolecules, with the Z sex chromosome assembled. The mitochondrial genome has also been assembled and is 16.8 kilobases in length. Gene annotation of this assembly on Ensembl has identified 11,516 protein coding genes.
We present a genome assembly from an individual male
(the Leopard Moth, Arthropoda; Insecta; Lepidoptera; Cossidae). The genome sequence is 687 megabases in span. Most of the assembly is scaffolded ...into 31 chromosomal pseudomolecules, including the assembled Z sex chromosome. The mitochondrial genome has also been assembled and is 15.3 kilobases in length. Gene annotation of this assembly on Ensembl identified 22,738 protein coding genes.
We present a genome assembly from an individual female
(the flutter-wing fly; Arthropoda; Insecta; Diptera; Pallopteridae). The genome sequence is 415.6 megabases in span. Most of the assembly is ...scaffolded into 5 chromosomal pseudomolecules. The mitochondrial genome has also been assembled and is 15.93 kilobases in length.
Background
: Irritable bowel syndrome (IBS) is a chronic functional gastrointestinal disorder characterized by recurrent abdominal pain associated with alterations in stool form and/or stool ...frequency. Co-morbidities such as anxiety, depression, fatigue, and insomnia are frequently reported by patients suffering from IBS. Identification of these symptoms should thus be an integral part of an IBS assessment. However, an optimal tool to screen for core psychological symptoms in IBS is still missing. Here, we aim to develop a psychological symptom based machine learning model to efficiently help clinicians to identify patients suffering from IBS.
Methods
: We developed a machine learning workflow to select the most significant psychological features associated with IBS in a dataset including 49 patients with IBS and 35 healthy controls. These features were used to train three different types of machine learning models: logistic regression, decision trees and support vector machine classifiers; which were validated on a holdout validation dataset and an unseen test set. The performance of these models was compared in terms of balanced accuracy scores.
Results
: A logistic regression model including a combination of symptom features associated with anxiety and fatigue resulted in a balanced accuracy score of 0.93 (0.81-1.0) on unseen test data and outperformed the other comparable models. The same model correctly identified all patients with IBS in a test set (recall score 1) and misclassified one non-IBS subject (precision score 0.91). A complementary post-hoc leave-one-out cross validation analysis including the same symptom features showed similar, but slightly inferior results (balanced accuracy 0.84, recall 0.88, precision 0.86).
Conclusions
: Inclusion of machine learning based psychological evaluation can complement and improve existing clinical procedure for diagnosis of IBS.
