bluuebunny/crossref_metadata_2025_split huggingface dataset:
Strategies implemented by South African teachers to ensure continuing mathematics education during COVID-19
Authors: Vale Pamela , Graven Mellony 
Published: September 2022

AbstractThe COVID-19 pandemic continues to present severe challenges to the education sector more than 2 years after the first case was detected. We explore the strategies South African teachers used to support continued mathematics learning at home during the COVID-19 pandemic across different stages of the response to it and across different contexts. We explore these strategies, first, in relation to the initial shift to emergency remote teaching when learners needed to be reached in their homes under severe lockdown regulations, then through the gradual reopening of schools later as regulations were relaxed. Activity theory informs our perspective on the way in which teachers worked to mediate learning across school and home activity systems. Twenty-five Grade 4–7 mathematics teachers from the Eastern Cape responded to two questionnaires given at the start of the COVID-19 lockdown period and during the phased return to school. Questions focused on the strategies used to support mathematics learning. The results show that strategies focused on engaging caregivers through various technologies and getting resources into the home. WhatsApp, a free internet-based messaging service, was the most frequently used communication app across all types of schools for both messaging parents and sending instructional material and support in the form of videos, pictures and text messages. Department issued workbooks and teacher designed work packs were key resources sent to homes. Differences are evident in the range of use of different technologies across wealthier and poorer schools. Primary teachers’ voices inform possible ways forward for the purpose of managing young student mathematical learning gaps and meeting ongoing learning needs.
Platformization and Publishing: Changes in Literary Publishing
Authors: Spjeldnæs Kari 
Published: September 2022

AbstractThis article explores the influence of platformization on literary publishing, focusing on the impact of audiobooks and streaming services on editorial processes and business objectives. Increased importance of some genres, sliding concepts of quality, increasing dependency on social media, diminishing economic margins, and stricter editorial decisions are transitioning traits highlighted in this study on Norwegian trade publishers. Further, the analysis brings forward three central challenges to today's publishers: dependence on digital platforms to obtain readership, favoring simple narrative structures countering broader catalogues, and increased press on prioritizing in a market characterized by customization.
A multiclass CNN cascade model for the clinical detection support of cardiac arrhythmia based on subject-exclusive ECG dataset
Authors: Liotto Carmine , Petrillo Alberto , Santini Stefania , Toscano Gianluca , Tufano Vincenza 
Published: September 2022

AbstractThe accurate analysis of Electrocardiogram waveform plays a crucial role for supporting cardiologist in detecting and diagnosing the heartbeat disorders. To improve their detection accuracy, this work is devoted to the design of a novel classification algorithm which is composed of a cascade of two convolutional neural network (CNN), i.e a Binary CNN allowing the detection of the arrhythmic heartbeat and a Multiclass CNN able to recognize the specific disorder. Moreover, by combining the cascade architecture solution with a rule-based data splitting, which leverages the subject-exclusive and balances among the classes criteria, it is possible predicting the health status of unseen patients. Numerical results, carried out considering Massachusetts Institute of Technology-Beth Israel Hospital arrhythmia database, disclose a classification accuracy of $$96.2\%$$

96.2
%

. Finally, a cross-database performance evaluation and a comparison analysis w.r.t. the current state-of-art further disclose the effectiveness and the efficiency of the proposed solution, as well as its benefits in terms of patient health status prediction.
Numerical approximation of nonlinear SPDE’s
Authors: Ondreját Martin , Prohl Andreas , Walkington Noel J. 
Published: September 2022

AbstractThe numerical analysis of stochastic parabolic partial differential equations of the form $$\begin{aligned} du + A(u)\, dt = f \,dt + g \, dW, \end{aligned}$$

d
u
+
A
(
u
)

d
t
=
f

d
t
+
g

d
W
,

is surveyed, where A is a nonlinear partial operator and W a Brownian motion. This manuscript unifies much of the theory developed over the last decade into a cohesive framework which integrates techniques for the approximation of deterministic partial differential equations with methods for the approximation of stochastic ordinary differential equations. The manuscript is intended to be accessible to audiences versed in either of these disciplines, and examples are presented to illustrate the applicability of the theory.
Estimation of Behavioral Addiction Prevalence During COVID-19 Pandemic: A Systematic Review and Meta-analysis
Authors: Alimoradi Zainab , Lotfi Aida , Lin Chung-Ying , Griffiths Mark D. , Pakpour Amir H. 
Published: September 2022

AbstractPurpose of ReviewThe COVID-19 pandemic changed people’s lifestyles and such changed lifestyles included the potential of increasing addictive behaviors. The present systematic review and meta-analysis aimed to estimate the prevalence of different behavioral addictions (i.e., internet addiction, smartphone addiction, gaming addiction, social media addiction, food addiction, exercise addiction, gambling addiction, and shopping addiction) both overall and separately.Recent FindingsFour databases (PubMed,Scopus, ISI Web of Knowledge, andProQuest) were searched. Peer-reviewed papers published in English between December 2019 and July 2022 were reviewed and analyzed. Search terms were selected using PECO-S criteria: population (no limitation in participants’ characteristics), exposure (COVID-19 pandemic), comparison (healthy populations), outcome (frequency or prevalence of behavioral addiction), and study design (observational study). A total of 94 studies with 237,657 participants from 40 different countries (mean age 25.02 years; 57.41% females). The overall prevalence of behavioral addiction irrespective of addiction type (after correcting for publication bias) was 11.1% (95%CI: 5.4 to 16.8%). The prevalence rates for each separate behavioral addiction (after correcting for publication bias) were 10.6% for internet addiction, 30.7% for smartphone addiction, 5.3% for gaming addiction, 15.1% for social media addiction, 21% for food addiction, 9.4% for sex addiction, 7% for exercise addiction, 7.2% for gambling addiction, and 7.2% for shopping addiction. In the lockdown periods, prevalence of food addiction, gaming addiction, and social media addiction was higher compared to non-lockdown periods. Smartphone and social media addiction was associated with methodological quality of studies (i.e., the higher the risk of boas, the higher the prevalence rate). Other associated factors of social media addiction were the percentage of female participants, mean age of participants, percentage of individuals using the internet in country, and developing status of country. The percentage of individuals in the population using the internet was associated with all the prevalence of behavioral addiction overall and the prevalence of sex addiction and gambling addiction. Gaming addiction prevalence was associated with data collection method (online vs. other methods) that is gaming addiction prevalence was much lower using online methods to collect the data.SummaryBehavioral addictions appeared to be potential health issues during the COVID-19 pandemic. Healthcare providers and government authorities should foster some campaigns that assist people in coping with stress during COVID-19 pandemics to prevent them from developing behavioral addictions during COVID-19 and subsequent pandemics.
Vibration of an axially loaded heterogeneous fixed–fixed beam with an intermediate roller support
Authors: Kiss L. P. , Szeidl G. , Messaoudi A. 
Published: September 2022

AbstractThe present paper investigates how an axial load can change the natural frequencies of heterogeneous fixed–fixed beams with an intermediate roller support. The problem is treated as a three-point boundary value problem (eigenvalue problem) that is paired with homogeneous boundary conditions. The Green functions are determined for the unloaded and pre-loaded beams as well—in the later case, both for compression and tension. With these, the eigenvalue problems can be transformed into eigenvalue problems governed by a homogeneous Fredholm integral equations. It is then replaced by an algebraic eigenvalue problem, that is solved numerically with an effective solution algorithm which is based on the boundary element method.
Membrane creation and symport/antiport rules solving QSAT
Authors: Orellana-Martín David , Valencia-Cabrera Luis , Pérez-Jiménez Mario J. 
Published: September 2022

AbstractIn Membrane Computing, different variants of devices can be found by changing both syntactical and semantic ingredients. These devices are usually called membrane systems or P systems, and they recall the structure and behavior of living cells in the nature. In this sense, rules are introduced as a way for objects to interact with membranes, giving P systems the ability to solve computational problems. Some of these rules, as division, separation and creation rules are inspired by the membrane division through the mitosis process or new membranes are created through gemmation. These rules seem to be crucial in the path to solve computationally hard problems. In this work, creation rules are used in classical P systems with symport/antiport rules, where objects travel through membranes without changing to achieve enough computational power to efficiently solve PSPACE-complete problems. More precisely, a solution to the problem is given by means of a uniform family of these systems. This paper was originally submitted to the International Conference on Membrane Computing 2021.
Mycorrhiza, Charcoal, and Rocket Salad Powder as Eco-friendly Methods for Controlling Broomrape Weed in Inter-planted Faba Bean with Flax
Authors: Saudy Hani Saber , El-Metwally Ibrahim Mohamed , Telb Sara Telb Sobieh , Abd-Alwahed Saaeid Helmy Abd-Alhalim 
Published: September 2022

AbstractTill now, there is no complete program that could be implemented to eradicate the parasitic weeds such as broomrape because of their complex life cycle. Therefore, the current research aimed to find new and safe agricultural practices to solve, partially at least, the issues of broomrape in faba bean fields. The experiment was conducted for two winter seasons of 2018/2019 and 2019/2020 in naturally infested field with broomrape. Treatments involved application of mycorrhiza, charcoal and rocket salad powder, glyphosate–isopropylammonium herbicide, and weedy check applied whether with sole planting of faba bean and interplanting with flax. The experiment was designed in a strip plot based on completely randomized block arrangement with six replicates. Broomrape number and weight, infested faba bean plants, faba bean agronomic traits, and seed nutrient uptake were estimated. In both seasons, glyphosate whether with sole or interplanting patterns recorded the lowest values of broomrape number plot‒1and broomrape weight plot‒1without significant variation with charcoal and rocket salad applied in interplanted plots. The maximum increases in faba bean seed yield were observed with application of charcoal × sole or interplanting pattern and rocket salad × interplanting pattern in the 2018/2019 season as well as charcoal, mycorrhiza, and rocket salad with sole pattern in the 2019/2020 season. Charcoal, mycorrhiza, and rocket salad were effective practices whether under sole or interplanting patterns for improving nutrient uptake, especially in the first season. In the second season, rocket salad with sole or interplanting pattern was the stable interaction for enhancing all nutrient uptake. Reducing broomrape hazards expressed in low number and weight with less infested faba bean plants was confined by application of mycorrhiza, charcoal, and rocket salad powder whether with sole planting of faba bean and interplanting with flax. Hence, faba bean farmers are advised to apply such promising safe practices for sustaining faba bean cultivation in lands infested by broomrape.
Physical Characteristics Explain Ball-Carrying Capability in Sub-Elite Rugby Union Players
Authors: Hart Alexander S. , Erskine Robert M. , Mclaughlin Tom J. , Clark David R. 
Published: September 2022

Abstract
Purpose
The aims of the present study were two-fold: (i) to investigate the relationship between physical characteristics and the game statistics associated with ball-carrying capability amongst sub-elite rugby union players, and (ii) to predict the level of change in these physical characteristics required to improve the associated game statistic via regression analysis.

Methods
Thirty-eight senior professional players (forwards, n = 22; backs, n = 16) were assessed for body mass (BM), back squat (BS) single-repetition maximum (1RM) normalised to BM (1RM/BM), 10 m sprint velocity (S10), 10 m sprint momentum (SM10), and the game statistics from 22 games within the 2019/20 RFU Championship season. The relationship between these measures and the predicted level of change in a physical measure required to improve the total number of the associated game statistic by one were assessed by Pearson’s correlation coefficient and simple regression analyses.

Results
In forwards, an ~ 11.5% reduction in BM, an ~ 11.8% improvement in BS 1RM/BM, or an ~ 11.5% increase in S10 was required to improve the game statistics associated with ball-carrying capability. In backs, a ~ 19.3% increase in BM or a ~ 15.6% improvement in SM10 was required.

Conclusions
These findings demonstrate that improvements in lower-body relative strength, acceleration performance, and position-specific alterations in body mass are required to maximise the ball-carrying capability and therefore match outcome of sub-elite rugby union players.
Light history modulates growth and photosynthetic responses of a diatom to ocean acidification and UV radiation
Authors: Li Wei , Wang Tifeng , Campbell Douglas A. , Gao Kunshan 
Published: September 2022

AbstractTo examine the synergetic effects of ocean acidification (OA) and light intensity on the photosynthetic performance of marine diatoms, the marine centric diatom Thalassiosira weissflogii was cultured under ambient low CO2 (LC, 390 μatm) and elevated high CO2 (HC, 1000 μatm) levels under low-light (LL, 60 μmol m−2 s−1) or high-light (HL, 220 μmol m−2 s−1) conditions for over 20 generations. HL stimulated the growth rate by 128 and 99% but decreased cell size by 9 and 7% under LC and HC conditions, respectively. However, HC did not change the growth rate under LL but decreased it by 9% under HL. LL combined with HC decreased both maximum quantum yield (FV/FM) and effective quantum yield (ΦPSII), measured under either low or high actinic light. When exposed to UV radiation (UVR), LL-grown cells were more prone to UVA exposure, with higher UVA and UVR inducing inhibition of ΦPSII compared with HL-grown cells. Light use efficiency (α) and maximum relative electron transport rate (rETRmax) were inhibited more in the HC-grown cells when UVR (UVA and UVB) was present, particularly under LL. Our results indicate that the growth light history influences the cell growth and photosynthetic responses to OA and UVR.
Combining Machine Learning with Metabolomic and Embryologic Data Improves Embryo Implantation Prediction
Authors: Cheredath Aswathi , Uppangala Shubhashree , C. S Asha , Jijo Ameya , R Vani Lakshmi , Kumar Pratap , Joseph David , G.A Nagana Gowda , Kalthur Guruprasad , Adiga Satish Kumar 
Published: September 2022

AbstractThis study investigated whether combining metabolomic and embryologic data with machine learning (ML) models improve the prediction of embryo implantation potential. In this prospective cohort study, infertile couples (n=56) undergoing day-5 single blastocyst transfer between February 2019 and August 2021 were included. After day-5 single blastocyst transfer, spent culture medium (SCM) was subjected to metabolite analysis using nuclear magnetic resonance (NMR) spectroscopy. Derived metabolite levels and embryologic parameters between successfully implanted and failed groups were incorporated into ML models to explore their predictive potential regarding embryo implantation. The SCM of blastocysts that resulted in successful embryo implantation had significantly lower pyruvate (p<0.05) and threonine (p<0.05) levels compared to medium control but not compared to SCM related to embryos that failed to implant. Notably, the prediction accuracy increased when classical ML algorithms were combined with metabolomic and embryologic data. Specifically, the custom artificial neural network (ANN) model with regularized parameters for metabolomic data provided 100% accuracy, indicating the efficiency in predicting implantation potential. Hence, combining ML models (specifically, custom ANN) with metabolomic and embryologic data improves the prediction of embryo implantation potential. The approach could potentially be used to derive clinical benefits for patients in real-time.
On connections between Amplitude Flow and Error Reduction for phase retrieval and ptychography
Authors: Melnyk Oleh 
Published: September 2022

AbstractIn this paper, we consider two iterative algorithms for the phase retrieval problem: the well-known Error Reduction method and the Amplitude Flow algorithm, which performs minimization of the amplitude-based squared loss via the gradient descent. We show that Error Reduction can be interpreted as a scaled gradient method applied to minimize the same amplitude-based squared loss, which allows to establish its convergence properties. Moreover, we show that for a class of measurement scenarios, such as ptychography, both methods have the same computational complexity and sometimes even coincide.
The status and development proposal of carbon sources and sinks monitoring satellite system
Authors: Meng Guang , Wen Yuan , Zhang Miaomiao , Gu Yilei , Xiong Wei , Wang Zijun , Niu Shengda 
Published: September 2022

AbstractIn order to mitigate global warming, the international communities actively explore low-carbon and green development methods. According to the Paris Agreement that came into effect in 2016, there will be a global stocktaking plan to carry out every 5 years from 2023 onwards. In September 2020, China proposed a "double carbon" target of carbon peaking before 2030 and carbon neutrality before 2060. Achieving carbon peaking and carbon neutrality goals requires accurate carbon emissions and carbon absorptions. China's existing carbon monitoring methods have insufficient detection accuracy, low spatial resolution, and narrow swath, which are difficult to meet the monitoring requirement of carbon sources and sinks monitoring. In order to meet the needs of carbon stocktaking and support the monitoring and supervision of carbon sources and sinks, it is recommended to make full use of the foundation of the existing satellites, improve the detection technical specifications of carbon sources and sinks monitoring measures, and build a multi-means and comprehensive, LEO-GEO orbit carbon monitoring satellite system to achieve higher precision, higher resolution and multi-dimensional carbon monitoring. On this basis, it is recommended to strengthen international cooperation, improve data sharing policy, actively participate in the development of carbon retrieval algorithm and the setting of international carbon monitoring standards, establish an independent and controllable global carbon monitoring and evaluation system, and contribute China's strength to the global realization of carbon peaking and carbon neutrality.
Biomedical Materials and Devices with Focus on Orthopaedic and Cardio-vascular Problems
Authors: Stanzl-Tschegg Stefanie E. 
Published: September 2022

AbstractMaterials and developments of medical devices are discussed based on trying to understand nature’s construction principles. A roadmap explaining the papertopics is shown in Fig. 1 of the introduction. Guidelines for producing biomedical materials and devices are discussed. Finally, future development of new technological procedures are mentioned helping human beings to become older and remain healthier during their higher age. Serious problems are pointed out, which will lead to serious social conflicts.
Sequence of U-Shaped Convolutional Networks for Assessment of Degree of Delamination Around Scribe
Authors: Rozsivalova Veronika , Dolezel Petr , Stursa Dominik , Rozsival Pavel 
Published: September 2022

AbstractThe application of protective layers is the primary method of keeping metallic structures resistant to degradation. The measurement of the layer resistance to delamination is one of the important indicators of the protection quality. Therefore, ISO 4628 standard has been issued to handle and quantify the main coating defects. Here, an innovative assessment of degree of delamination around a scribe according to ISO 4628 standard has been practically realized. It utilizes an computer-driven deep learning-based method. The assessment method is composed of two shallow U-shaped convolutional networks in a row; the first for preliminary and the second for refined detection of delamination area around a scribe. The experiments performed on 586 samples showed that the proposed sequence of U-shaped convolutional networks meets the edge computing standards, provides good generalization capability, and provides precise delamination area detection for a large variability of surfaces.
European Social History
Authors: Drayton Richard 
Published: September 2022

Abstract
Why did European history come so late to the global turn? Europe’s past had of course always been constructed relative to its Islamic or Mongol peripheries, and later its colonial offshore. But only recently has it been understood that European and extra-European history are in a dynamic relationship of reciprocal influence. Intellectual and economic history recognized this before social history, which in its post-1960 flowering took it for granted that European social forms were both more advanced and categorically different from others. During the 1970s and 1980s, however, a generation after political decolonization, new work began to explore the impact of peripheries on the European core, and to measure Europe from the outside. After 2000, a globalized European social history became visible. Its evasion of the constraints of the national paradigm has opened up striking new pan- and trans-European historical projects and methods. These are provoking new questions of how we might reconfigure European history in ways which understand eastern and central Europe in their own terms, rather than simply as the retarded extensions of “advanced” western European phenomena.