bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact assessment framework of PV‐BES systems to active distribution networks
Authors: Pippi Kalliopi D. , Papadopoulos Theofilos A. , Kryonidis Georgios C. 
Published: October 2021

AbstractPassive distribution networks tend to become active, due to the high penetration of photovoltaic units, battery energy storage utilization and their combined active participation to distribution network operation. In this paper, a framework for the assessment of the impact of photovoltaic and battery energy storage systems on voltage profiles, power losses and reverse power flow phenomena of active distribution networks is proposed. Also, the utilization of photovoltaic and battery energy storage systems is evaluated. The proposed methodology is applied to statistically analyse results obtained from annual timeseries power flow calculations in a real 18‐bus low‐voltage network over a range of operating conditions; the obtained results are quantified using a set of probabilistic indices. The proposed framework can be a useful tool for distribution system operators to identify operational challenges and ensure the optimal exploitation of end‐user and network assets.
Platelets and COVID-19
Authors: Rohlfing Anne-Katrin , Rath Dominik , Geisler Tobias , Gawaz Meinrad 
Published: October 2021

AbstractIn 2019 first reports about a new human coronavirus emerged, which causes common cold symptoms as well as acute respiratory distress syndrome. The virus was identified as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and severe thrombotic events including deep vein thrombosis, pulmonary embolism, and microthrombi emerged as additional symptoms. Heart failure, myocardial infarction, myocarditis, and stroke have also been observed. As main mediator of thrombus formation, platelets became one of the key aspects in SARS-CoV-2 research. Platelets may also directly interact with SARS-CoV-2 and have been shown to carry the SARS-CoV-2 virus. Platelets can also facilitate the virus uptake by secretion of the subtilisin-like proprotein convertase furin. Cleavage of the SARS-CoV-2 spike protein by furin enhances binding capabilities and virus entry into various cell types. In COVID-19 patients, platelet count differs between mild and serious infections. Patients with mild symptoms have a slightly increased platelet count, whereas thrombocytopenia is a hallmark of severe COVID-19 infections. Low platelet count can be attributed to platelet apoptosis and the incorporation of platelets into microthrombi (peripheral consumption) and severe thrombotic events. The observed excessive formation of thrombi is due to hyperactivation of platelets caused by the infection. Various factors have been suggested in the activation of platelets in COVID-19, such as hypoxia, vessel damage, inflammatory factors, NETosis, SARS-CoV-2 interaction, autoimmune reactions, and autocrine activation. COVID-19 does alter chemokine and cytokine plasma concentrations. Platelet chemokine profiles are altered in COVID-19 and contribute to the described chemokine storms observed in severely ill COVID-19 patients.
Fear and Perception of People to Visit Dentists during COVID-19 Pandemic and Their Suggestions
Authors: Majeed Muhammad Mansoor , Sidiqqui Zarah , Uzair Muhammad , Shahzad Azam , Rafique Sara , Durrani Shoaib 
Published: October 2021

Abstract
Objectives This study was performed to determine patients' fear and perception of visiting dentists during the COVID-19 pandemic.
Materials and Methods This cross-sectional study was performed online using Google forms. Participants included individuals who had been to dental clinics for treatment. The data of 407 participants were analyzed. SPSS 21 was used for data entry and analysis. Demographic variables were expressed in numbers and percentages. The Chi-squared test was applied to analyze the difference between the demographic variables and fear among genders, age, and level of education.
Results Due to the coronavirus's contagious nature, fear is prevalent among a significant number of patients (χ2 = 31.373, p < 0.001). Females are more afraid to visit the dentist than males (χ2 = 7.065, p = 0.008). The majority of the patients are not willing to go for dental treatment other than an emergency. Around two-thirds of the participants reported that their visit to the dentist during the current pandemic was reduced.
Conclusion Due to the fear of COVID-19, patients are not willing to visit dentists for treatments. Therefore, dentists should build confidence by ensuring cross-infection control.
Upslope migration of snow avalanches in a warming climate
Authors: Giacona Florie , Eckert Nicolas , Corona Christophe , Mainieri Robin , Morin Samuel , Stoffel Markus , Martin Brice , Naaim Mohamed 
Published: October 2021

Significance
Snow avalanches represent a major threat in mountain environments, where they cause damage to critical infrastructure and claim hundreds of lives every year. Here, we document an unambiguous upslope migration of snow avalanches with climate change, a physical mechanism whose existence could previously not be demonstrated. In the Vosges Mountains, we show evidence that winter warming of +1.35 °C induced a sevenfold reduction in the number of avalanches, as well as a reduction of their magnitude and shortening of the avalanche season. These results show that low-to-medium elevation mountain ranges may serve as sentinels to anticipate future changes in snow processes and related risks in higher mountain environments and could thus help in the design of efficient adaptation strategies.
Epoxidation of juvenile hormone was a key innovation improving insect reproductive fitness
Authors: Nouzova Marcela , Edwards Marten J. , Michalkova Veronika , Ramirez Cesar E. , Ruiz Marnie , Areiza Maria , DeGennaro Matthew , Fernandez-Lima Francisco , Feyereisen René , Jindra Marek , Noriega Fernando G. 
Published: October 2021

SignificanceMosquitoes are a global threat to human health. Mosquito female reproduction depends on juvenile hormone (JH), synthesized from inactive precursors through methylation and subsequent epoxidation. The latter occurs in insects but not in earlier-diverging arthropod lineages, such as crustaceans. Our work on genetic knockout mosquitoes lacking either the methylating or the epoxidating enzyme revealed a vital requirement of JH precursor methylation for mosquito development and a key contribution of JH epoxidation to reproductive fitness. Both sexes underperformed in reproduction when deprived of the epoxidated hormone. This finding advances our understanding of mosquito reproductive endocrinology. More generally, our data unveil the importance of JH epoxidation as an evolutionary innovation improving the reproductive performance and increasing the success of insects.
“If it wasn’t absolutely true, it couldn’t be published”
Authors: Verkest Sofie , Jacobs Geert 
Published: October 2021

Abstract
Engaging audiences and collaborating with elite members
of the public (e.g. scientists) have become increasingly important in
newsrooms across the globe (Harbers
2016). In this chapter, we zoom in on collaborative journalism
(in which journalists work together with non-journalists) with a
postfoundational lens. We present a case in which a newspaper, university
and environmental government agency set up a citizen science project on air
quality in a Western European country. This chapter offers a thematic
analysis of three retrospective interviews with key players, which were
conducted at the end of seven months of ethnographic fieldwork behind the
scenes of this citizen science project. We demonstrate how collaboration
plays out in (re)defining the boundaries of the cultural spaces of media,
science and politics as they are constructed by our informants.
“Somehow I'm Always Writing”
Authors: Perrin Daniel 
Published: October 2021

Abstract
This paper shows the value that transdisciplinarity can add to media linguistics. It does so by analyzing – through a postfoundational lens – how journalistic writing changed during the last two decades, from the predominance of a writing mode that we have termed focused writing to a mode we have called writing-by-the-way. Large corpora of writing process data have been generated and analyzed with the multi-method approach of progression analysis to combine analytical depth with breadth. On the object level of doing writing in journalism, results show that the general trend toward writing-by-the-way opens new niches for focused writing. On a meta-level of doing research, findings explain why transdisciplinarity allows for deeper insights into the media-linguistic object of investigation.
On agency and affiliation in second assessments
Authors: Auer Peter , Lindström Jan 
Published: October 2021

Abstract
In this chapter, we discuss design features of second
assessments in German and Swedish conversation. We focus on
opinion-verb constructions (finden,
tycka) in full and reduced clausal formats. The
study shows that reduced formats are followed by sequence closure
while full formats are followed by more talk on the topic. We
explain this finding by arguing that by using reduced formats,
second speakers claim less agency and display low affiliation with
the first assessment, whereas full formats work in the opposite way.
The full and reduced opinion-verb constructions represent
standardized action patterns with recognizable implications, leading
to predictable interactional trajectories and coordinated
intersubjective behavior.
Brokering co-participants’ volition in request and offer
sequences
Authors: Harjunpää Katariina 
Published: October 2021

Abstract
This chapter examines multilingual interactions where
bilingual participants engage in advancing mutual understanding
between other participants by language brokering
(e.g. Bolden 2012)
requests and offers from Finnish to Brazilian Portuguese. Brokering
turns involve either (i) declarative statements regarding the prior
speaker’s volition towards the requested/offered matter or (ii)
questions concerning the recipient’s volition. The use of these
formats displays the broker’s intersubjective interpretation of
locally relevant features of the action, such as the distribution of
benefits and agency, and contingencies in its realization. The
investigation of language brokering in this context also contributes
to research on requests, offers and related social actions (e.g.
Couper-Kuhlen 2014),
action ascription (Levinson
2013; Deppermann &
Haugh forthcoming), and on verbs expressing volition
(Sacks 1992: 181;
Schulze-Wenck
2005).
MAIN story comprehension
Authors: Bohnacker Ute , Lindgren Josefin 
Published: October 2021

Abstract
This study investigates story comprehension in 124 typically-developing children aged 4–6 growing up in Sweden, using the LITMUS Multilingual Assessment Instrument for Narratives (MAIN, Gagarina et al. 2012). 72 Swedish monolinguals and 52 Swedish-English bilinguals from similar socio-economic backgrounds told two MAIN stories each and answered standardised questions that probe inferencing of goals, thoughts and emotions of story characters. Overall comprehension scores were calculated, and responses to individual questions were analysed. Results were compared across age groups, languages, and tasks. Already at age 4, and certainly at age 6, overall comprehension scores were high, indicating good general understanding of the stories. Scores differed significantly between tasks, suggesting that comprehension of MAIN Cat/Dog is easier than Baby Birds/Baby Goats. On all tasks, protagonists’ goals were understood well at age 4, approaching ceiling (> 90%) at age 5–6. Internal states as initiating events were also relatively well understood. However, many children struggled to infer emotional reactions of protagonists when this necessitated taking the whole plotline into account. We suggest that the processing abilities of the average 6-year-old are not yet developed enough to master every aspect of inferential understanding probed on the MAIN. Results held across languages and mono-/bilinguals, suggesting that they generalise.
Non–human primate epidural ECoG analysis using explainable deep learning technology
Authors: Choi Hoseok , Lim Seokbeen , Min Kyeongran , Ahn Kyoung-ha , Lee Kyoung-Min , Jang Dong Pyo 
Published: October 2021

Abstract

Objective. With the development in the field of neural networks, explainable AI (XAI), is being studied to ensure that artificial intelligence models can be explained. There are some attempts to apply neural networks to neuroscientific studies to explain neurophysiological information with high machine learning performances. However, most of those studies have simply visualized features extracted from XAI and seem to lack an active neuroscientific interpretation of those features. In this study, we have tried to actively explain the high-dimensional learning features contained in the neurophysiological information extracted from XAI, compared with the previously reported neuroscientific results. Approach. We designed a deep neural network classifier using 3D information (3D DNN) and a 3D class activation map (3D CAM) to visualize high-dimensional classification features. We used those tools to classify monkey electrocorticogram (ECoG) data obtained from the unimanual and bimanual movement experiment. Main results. The 3D DNN showed better classification accuracy than other machine learning techniques, such as 2D DNN. Unexpectedly, the activation weight in the 3D CAM analysis was high in the ipsilateral motor and somatosensory cortex regions, whereas the gamma-band power was activated in the contralateral areas during unimanual movement, which suggests that the brain signal acquired from the motor cortex contains information about both contralateral movement and ipsilateral movement. Moreover, the hand-movement classification system used critical temporal information at movement onset and offset when classifying bimanual movements. Significance. As far as we know, this is the first study to use high-dimensional neurophysiological information (spatial, spectral, and temporal) with the deep learning method, reconstruct those features, and explain how the neural network works. We expect that our methods can be widely applied and used in neuroscience and electrophysiology research from the point of view of the explainability of XAI as well as its performance.
Virtual Microscopic Simulation (VMS) Design on Light Waves: Interference and Diffraction
Authors: Anggraini D , Wibowo F C , Delina M 
Published: October 2021

Abstract
The properties of light waves are only looking indirectly through physic phenomena, such as interference and diffraction of light. This causes light waves to become of the physics materials that are difficult for students to understand. This study aims to produce a Virtual Microscopic Simulation (VMS) design on light wave material. The research method used in this research is research and development using the ADDIE development model. However, the ADDIE development model used is only to Design stage. The instrument used to measure the feasibility of VMS media is a validation test by media and materials experts. The results showed that characteristics of VMS design in light waves consist of two topics, namely interference and diffraction of light. VMS has a positive impact on students in the physics learning, especially about microscopic materials. VMS expected to effective in helping students to understand the light wave material, especially about the concept of interference and diffraction of light.
Identifying High School Students’ Misconceptions Using Digital Four-Tier Diagnostic Tests in Distance Learning
Authors: Munggarani M E , Supriyati Y , Astra I M 
Published: October 2021

Abstract
The pandemic of the spread of a new virus, namely the corona virus disease (Covid-19) in Indonesia, has forced the government to use an education virtualization system which has been expanded into online learning or distance learning. This makes it difficult for teachers to identify how big the misconceptions experienced by students in Physics subjects with harmonious vibration material during learning take place, so teachers and students need an online assessment instrument that is able to identify the student’s misconceptions. This study aims to analyze the misconceptions of high school students using a digital four-tier diagnostic test in distance learning. The method used is a single case study. The research analysis used the Rasch model. The instrument used is a conceptual understanding test using a digital four-tier diagnostic test instrument which consists of 10 questions on the Harmonic Vibration material to identify students’ misconceptions. This research was conducted in three stages; (1) the planning stage, (2) the implementation stage, and (3) the final stage. Based on the results of data analysis, there is a percentage of students who understand the concept of 54%, 23% less understanding of the concept, 21% of misconceptions, and 2% non-code (error). The average value of misconceptions experienced by students shows a low category for Harmonic Vibration material.
Faraday’s Law Teaching Aids Using Magnetometers on Smartphone and Infrared Sensors for Electromagnetic Induction Learning
Authors: Andrianto B , Iswanto B H , Indrasari W 
Published: October 2021

Abstract
Faraday’s law is one of the abstract physics materials. This research aims to develop Faraday’s Law teaching aids by combining smartphones and infrared sensors. This study uses the Research and Development method, which refers to the ADDIE model. The teaching aids consist of a 45 cm coil whose area is, a 4000 µT neodymium permanent magnet, an Arduino integrated infrared sensor, and a smartphone’s magnetometer sensor using the Phyphox application. The research trials were carried out by varying the number of coils and the height of the falling magnet. The test results obtained data in a magnetic field, the magnetic time passing through the coils, and voltage. Based on the induced emf obtained from observations and calculation results, there is an increase in the number of coils and the height of the falling magnet. This study concludes that Faraday’s law teaching aids can show the effect of the number of coils and the distance of the magnet falling on the magnitude of the induced emf. The developed Faraday’s law teaching aids can be used in the learning process of Faraday’s law.
Analysing Students’ Problem Solving Skills on The Topics of Modern Physics
Authors: Santosa I E 
Published: October 2021

Abstract
The study of problem solving skill has been performed on the subject of Modern Physics. The main objective of this study was to investigate the student’s ability in solving physics problems. Here 45 students were involved in this study. The students worked on two essay tests consisting of two numerical problems and two explanation questions within each test. The score distributions were then analysed qualitatively. It was found that the student’s achievement in the numerical problem is higher than that of the explanation question. The students possess a low skill in selecting and using the data.
The Improvement of Critical Thinking Skills Through Problem Based Learning Models Assisted by Trackers Video on Parabolic Movements
Authors: Supriyanto E , Mustika  
Published: October 2021

Abstract
This study aims to improve critical thinking skills using a problem-based learning model assisted by video tracker on parabolic movements. This research was conducted in class X Senior High School Pandeglang. This study uses one group pretest-posttest design with paired sample t-test analysis technique. Learning is done by conducting demonstration activities of parabolic movement based on problem based learning. The results of the video footage of the parabolic motion demonstration were then analyzed using a video tracker application. Based on the results of the study obtained the average score of critical thinking skills increased by 53.936% with a moderate N-Gain average (0.536) at a confidence level of 95%. These results show that learning using a tracker can improve critical thinking skills well. Based on the test results obtained signification of 0.00, it can be concluded that there are significant differences in critical thinking skills before and after learning using the tracker.
Development of Electronic Physics Learning Module With Phet (Physical Education and Technology) Simulation on Elasticity and Hooke Law in Class Xi Senior High School
Authors: Rahma V N , Rustana C E , Umiatin  
Published: October 2021

Abstract
One way to use technology in learning is by using Simulation Physics Education and Technology (PhET). This article describes the results of the development of an electronic module for learning physics about elasticity and Hooke’s law in class XI SMA. This research method is Research and Development with ADDIE model. The steps in this development are making needs assessments, analyzing materials, designing electronic modules, developing assessment tools, realizing electronic module designs, product validation by experts, testing electronic modules by teachers and students and performing evaluations. Based on the needs analysis conducted in class XI MIPA SMAN 107 Jakarta on 58 students, the results were obtained: 98.23% of students have difficulty understanding the physics material during PJJ, 94.83% of students are interested in the use of electronic modules as a companion for self-study at home and 87.72% of the students chose a module with instructions for independent practicum. The electronic module supported by that simulation is an alternative teaching material that can be used by students for self-study and can be used to conduct virtual experiments. The results of this research have been validated by physicists, learning experts and media experts.
Analysis of Students’ Misconception and Strategic Thinking Skill on Parabolic Motion Material Using Two-Tier Multiple Choice Items Instrument
Authors: Susanti D , Supriyati Y , Maulana S , Hakim A R 
Published: October 2021

Abstract
This study aims to develop an instrument test in the form of two-tier multiple-choice items that can be used to analyze students’ misconceptions and measure students’ strategic thinking skills. This research uses the research and development method with the ADDIE model. The resulting test instrument has ten questions that refer to indicators of strategic thinking skills. The results of the validation of the average score of 89.20% with very good criteria. The results of the Rasch Model analysis report that the test instrument that has been developed is declared feasible with acceptable criteria, all items that have been developed have reliability in the good category, and all items that have been developed are valid. The results of the Rasch Model analysis are also informed that in the implementation of the test, it is implausible that cheating, carelessness, and lucky phenomena will occur when doing the test. The results of the Rasch Model analysis also group students into three, namely high, medium, and low abilities, which convey information on students’ strategic thinking skills. The analysis results showed that 13.64% of students understood the overall concept of parabolic motion, 69.32% of students had misconceptions about the parabolic motion material, and 11.36% of students did not understand the parabolic motion material at all. The remaining 5.68% cannot be predicted with certainty whether the student understands, has misconceptions, or does not understand at all. This study concludes that the two-tier multiple choice items instrument developed is valid, reliable, and feasible to be used in analyzing students’ misconceptions and measuring students’ strategic thinking skills on parabolic motion material.