bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impacts of classroom teaching practices on students’ mathematics learning interest, mathematics self-efficacy and mathematics test achievements: a secondary analysis of Shanghai data from the international video study Global Teaching InSights
Authors: Zhu Yan , Kaiser Gabriele 
Published: March 2022

AbstractTeaching effectiveness is a core issue in educational research; however, there is little consensus about the most important results of classroom teaching from an international perspective. The effectiveness of teaching has remained a ‘black box’ for a long time. In the secondary study described in this paper we used empirical data for Shanghai taken from the international Organization for Economic Co-operation and Development (OECD) study Global Teaching InSights (GTI)—initially the Teaching and Learning International Survey (TALIS) Video Study—which was based on videotaped direct observations of classroom teaching. Eighty-five junior high school mathematics teachers and their students in Shanghai were observed to explore the impact of specific teaching practices on students’ interest, self-efficacy, and mathematics achievement scores. The results revealed that social-emotional support and instruction quality were the key dimensions relating to the characteristics and differences of mathematics lessons in Shanghai. While the former had a significantly positive impact on students’ general mathematics self-efficacy, the latter had a significantly positive impact on students’ mathematics interest. Although specific teaching practices had no significant direct impact on students’ mathematics achievement scores, social-emotional support and instruction quality considerably influenced students’ academic performance in an indirect way via general self-efficacy.
Free Cholesterol Bioavailability and Atherosclerosis
Authors: Abe Rei J. , Abe Jun-ichi , Nguyen Minh T. H. , Olmsted-Davis Elizabeth A. , Mamun Abrar , Banerjee Priyanka , Cooke John P. , Fang Longhou , Pownall Henry , Le Nhat-Tu 
Published: March 2022

Abstract
Purpose of Review
As both a cholesterol acceptor and carrier in the reverse cholesterol transport (RCT) pathway, high-density lipoprotein (HDL) is putatively atheroprotective. However, current pharmacological therapies to increase plasma HDL cholesterol (HDL-c) concentration have paradoxically failed to prevent or reduce atherosclerosis and cardiovascular disease (CVD). Given that free cholesterol (FC) transfer between surfaces of lipoproteins and cells is reversible, excess plasma FC can be transferred to the cells of peripheral tissue sites resulting in atherosclerosis. Here, we summarize potential mechanisms contributing to this paradox and highlight the role of excess free cholesterol (FC) bioavailability in atherosclerosis vs. atheroprotection.

Recent Findings
Recent findings have established a complex relationship between HDL-c concentration and atherosclerosis. Systemic scavenger receptor class B type 1 (SR-B1) knock out (KO) mice exhibit with increased diet-induced atherosclerosis despite having an elevated plasma HDL-c concentration compared to wild type (WT) mice. The greater bioavailability of HDL-FC in SR-B1 vs. WT mice is associated with a higher FC content in multiple cell types and tissue sites. These results suggest that dysfunctional HDL with high FC bioavailability is atheroprone despite high HDL-c concentration.

Summary
Past oversimplification of HDL-c involvement in cholesterol transport has led to the failures in HDL targeted therapy. Evidence suggests that FC-mediated functionality of HDL is of higher importance than its quantity; as a result, deciphering the regulatory mechanisms by which HDL-FC bioavailability can induce atherosclerosis can have far-reaching clinical implications.
Increasing use of sodium nitrite in suicides—an emerging trend
Authors: Stephenson Lilli , Wills Stephen , van den Heuvel Corinna , Humphries Melissa , Byard Roger W. 
Published: March 2022

AbstractSodium nitrite (NaNO2) is a compound with broad practical applications in food preservation, automotive maintenance, and animal control. Sodium nitrite is also potentially fatal when ingested, as it interferes with the ability of red blood cells to transport oxygen. While incidents of accidental consumption have been reported in the literature, case reports of sodium nitrite being used as a pharmacological suicide agent are becoming more frequent. Therefore, a study was undertaken to evaluate trends in sodium nitrite deaths in South Australia between 2000 and 2019. All cases of fatal sodium nitrite ingestion were identified in the Toxicology database and autopsy reports at Forensic Science SA (FSSA). Ten cases of fatal sodium nitrite ingestion were identified, with the rate of cases increasing significantly over the study period (p > .001). Of the ten deaths attributed to sodium nitrite toxicity, eight were male, and two were female. The age range of decedents was 22–74 years (mean 51.9, SD 21.1), 22–74 years for males (mean 58.4, SD 18.2) and 23–29 years for females (mean 26.0, SD 4.2). Males (80%) and those with a history of depression and/or suicidal ideation (70%) were over-represented within the study population. While autopsy findings were generally consistent with the literature, scene findings emphasized the accessibility of sodium nitrite to the general public. This study highlights both a significant increasing trend in the use of sodium nitrite in suicides and important analytical limitations in the evaluation of suspected cases.
Overcoming Barriers to Service Access: Refugees’ Professional Support Service Utilization and the Impact of Human and Social Capital
Authors: Heidinger Ellen 
Published: March 2022

AbstractAfter arriving in a new country, refugees are typically dependent on professional support to re-establish their livelihood. However, it is well documented that refugees face barriers when seeking access to services aimed at facilitating their settlement. This study examines refugees’ support service needs, their actual utilization, and investigates the impact of social and human capital on service utilization. Using data from the IAB-BAMF-SOEP Survey of Refugees (2016–2019; N=7662), this paper, employing nested logistic regression models, highlights the diversity of refugees’ support service needs as well as large differences in utilization across eight different domains during the first couple of years after arriving in Germany. It provides evidence for an overall positive association between human and social capital and service utilization in general while also revealing differences in service domains. While language proficiency is positively associated with service utilization across all service domains, previous work experience in the country of origin particularly increases utilization of employment-related services. The analyses also find a positive association of inter-ethnic networks, whereas intra-ethnic connections are negatively associated with service utilization across many domains. The findings are especially relevant since they support the hypothesis of exclusive host community knowledge that benefits those refugees who engage with individuals outside their own ethnic network. The findings of this study accentuate the need to acknowledge the diversity of refugees’ service needs as well as the barriers to service utilization that only well-equipped refugees seem to be able to overcome.
Explaining short-term memory phenomena with long-term memory theory: Is a special state involved?
Authors: Humphreys Michael S. , Tehan Gerald , Baumann Oliver , Loft Shayne 
Published: March 2022

AbstractThe idea that some recently encountered items reside in a special state where they do not have to be retrieved has come to be a critical component of short-term memory theories. In the current work, the existence of such a special state was tested using the probe-recognition paradigm followed by a delayed recognition test. Across two experiments participants received a series of probe recognition trials where list lengths of 1-, 4- and 8-items were intermixed. Delayed recognition performance for non-target probes was poorer for the only item in 1-item lists than for the last item in multi-item lists. At the same time, the delayed recognition of studied-but-not probed items was better for the 1-item list, compared to the last item in a multi-item list, indicating that some form of a retrieval effect was involved and not lower levels of attention/initial learning. An examination of the size of the testing effect as it varied across list lengths and experiments also indicated that residence in a special state was not playing an important role. Overall, the data are not in support of the assumption that items at the focus of attention are in a special state that do not require retrieval. Our conclusions are that special states cannot be used to define STM memory and that the probe recognition paradigm may be useful in determining how testing affects memory.
From Thriving Developers to Stagnant Self-Doubters: An Identity-Centered Approach to Exploring the Relationship Between Digitalization and Professional Development
Authors: Wallin Anna , Nokelainen Petri , Kira Mari 
Published: March 2022

AbstractThis article reports a study illustrating the relationship between digitalization and professional development from an identity-centered perspective. Drawing on a unique data set of 101 empathy-based stories from 81 Finnish government workers, the findings show how workers might experience and respond to work-identity alignments and misalignments in a digitalized working life and how this might influence their professional development. We identify four typifications—the thriving developer, the loyal transformer, the stagnant self-doubter, and the career crafter— and illustrate how digitalization can either support or hinder professional development by inducing work-identity (mis)alignments and how workers may respond to these in different ways by engaging in identity work and job crafting. In particular, our findings emphasize the role professional identity and agency play in professional development and highlight the importance of recognizing how digitalization of work can threaten or support workers’ professional identities to build a supportive working environment where the workers feel like they are valued and able to develop in a meaningful way.
A linear classification of Cyperaceae
Authors: Larridon Isabel 
Published: March 2022

SummaryThis paper provides a linear classification of two subfamilies, 24 tribes, 10 subtribes and 95 genera of the monocot family Cyperaceae (Poales), based on a stable phylogenetic framework resulting from years of morphological, molecular phylogenetic and phylogenomic studies. The family includes c. 5687 species. The most species-rich tribes are the monogeneric tribe Cariceae with c. 2003 species, and tribe Cypereae with c. 1131 species. The highest generic diversity is found in tribe Schoeneae (25 genera), which resulted in the recognition of eight subtribes to facilitate studying this group. The linear classification will help the organisation of Cyperaceae specimens in herbaria according to a systematic order and provides an easy-to-use summary of the current classification of the family.
The Bodies in the ‘Bog’: A Multi-Isotope Investigation of Individual Life-Histories at an Unusual 6th/7th AD Century Group Burial from a Roman Latrine at Cramond, Scotland
Authors: Czére Orsolya , Lawson John A. , Müldner Gundula , Evans Jane , Boyle Angela , Britton Kate 
Published: March 2022

AbstractThis study utilises multi-isotope approaches to investigate early medieval diet and childhood origins of individuals interred in an unusual group burial from Lothian, Scotland. In 1976, the skeletal remains of nine adults and five infants were unearthed from the infill of a latrine of a bathhouse at the Roman fort at Cramond, Edinburgh. Originally thought to be later medieval (14th/15thcentury), but recently dated to the 6thcentury AD, these remains represent a rare opportunity to gain deeper insights into the dietary histories and lifetime mobility of the inhabitants of early medieval south-central Scotland. Bone and teeth from the adults (n=9) were sampled, along with local faunal bone from a range of species (n=12). Long-term dietary trends were explored using stable carbon (δ13C), nitrogen (δ15N) and sulphur (δ34S) isotope analyses of bone collagen, focusing on inter-individual variability and the potential inclusion of marine protein in the diet. Sulphur (δ34S) was also utilised as a possible indicator of later-life mobility. Strontium (87Sr/86Sr) and oxygen (δ18OCARB) ratios of tooth enamel were employed to identify potential locals and non-locals, as well as possible locations of childhood origin. No intra-group dietary variability was detected, and the results are similar to other contemporary populations from southern Britain. The sulphur isotope data indicate that all of the individuals likely lived locally in their last few decades of life. However, based on isotopic data from tooth enamel, at least one or perhaps two of the individuals likely spent their childhoods in other locations.
Digital health RCT interventions for cardiovascular disease risk reduction: a systematic review and meta-analysis
Authors: Devani Rohan Neil , Kirubakaran Arushan , Molokhia Mariam 
Published: March 2022

AbstractHeart disease is a leading cause of UK mortality. Evidence suggests digital health interventions (DHIs), such as smartphone applications, may reduce cardiovascular risk, but no recent reviews are available. This review examined the effect of DHIs on cardiovascular disease (CVD) risk scores in patients with increased CVD risk, compared to usual care alone. PubMed, Cochrane Database, Medline, and Google Scholar were searched for eligible trials published after 01/01/2010, involving populations with at least one CVD risk factor. Primary outcome was change in CVD risk score (e.g. QRISK3) between baseline and follow-up. Meta-analysis was undertaken using Revman5/STATA using random-effects modelling. Cochrane RoB-2 tool determined risk-of-bias. 6 randomised controlled trials from 36 retrieved articles (16.7%) met inclusion criteria, involving 1,157 patients treated with DHIs alongside usual care, and 1,127 patients offered usual care only (control group). Meta-analysis using random-effects model in STATA showed an inconclusive effect for DHIs as effective compared to usual care (Mean Difference, MD -0.76, 95% CI -1.72, 0.20), with moderate certainty (GRADEpro). Sensitivity analysis by DHI modality suggested automated email messaging was the most effective DHI (MD -1.09, 95% Cl -2.15, -0.03), with moderate certainty (GRADEpro). However, substantial study heterogeneity was noted in main and sensitivity analyses (I2 = 66% and 64% respectively). Quality assessment identified risk-of-bias concerns, particularly for outcome measurement. Findings suggest specific DHIs such as automated email messaging may improve CVD risk outcomes, but were inconclusive for DHIs overall. Further research into specific DHI modalities is required, with longer follow-up.
CubeSat measurements of thermospheric plasma: spacecraft charging effects on a plasma analyzer
Authors: Reddy Sachin , Kataria Dhiren , Lewis Gethyn , Aruliah Anasuya , Verscharen Daniel , Baby Abraham Joel , Deprez Gregoire , Mahammod Rifat 
Published: March 2022

AbstractSpacecraft charging affects the accuracy of in-situ plasma measurements in space. We investigate the impact of spacecraft charging on upper thermospheric plasma measurements captured by a 2U CubeSat called Phoenix. Using the Spacecraft Plasma Interactions Software (SPIS), we simulate dayside surface potentials of − 0.6 V, and nightside potentials of − 0.2 V. We also observe this charging mechanism in the distribution function captured by the Ion and Neutral Mass Spectrometer (INMS) on-board Phoenix. Whilst negative charging in the dense ionosphere is known, the diurnal variation in density and temperature has resulted in dayside potentials that are smaller than at night. We apply charging corrections in accordance with Liouville’s theorem and employ a least-squares fitting routine to extract the plasma density, bulk speed, and temperature. Our routine returns densities that are within an order of magnitude of the benchmarks above, but they carry errors of at least 20%. All bulk speeds are greater than the expected range of 60–120 m/s and this could be due to insufficient charging corrections. Our parameterised ion temperatures are lower than our empirical benchmark but are in-line with other in-situ measurements. Temperatures are always improved when spacecraft charging corrections are applied. We mostly attribute the shortcomings of the findings to the ram-only capture mode of the INMS. Future work will improve the fitting routine and continue to cross-check with other in-flight data.
Hydrochemistry of nutrients in groundwater under farmland in the Benue River Basin, North-Cameroon
Authors: Jokam Nenkam Therese L. L. , Kringel Robert , Fantong Wilson Y. , Nbendah Pierre , Fouépé Takoundjou Alain , Elisabeth Zocpé , Kamtchueng Brice T. 
Published: March 2022

AbstractIn this study, we investigated the distribution and the principal sources of macronutrients (N, P, K, S) in groundwater in agro-pastorally dominated North Cameroon. Graphical methods and multivariate statistics were used to understand the impact of land use and regional geology on nutrient concentrations (K+, NO3−, SO42−, PO43−). Groundwater was acidic (median pH 6.8) and more mineralized (EC range = 35–2500 µS/cm, median = 376 µS/cm) than surface water (EC range = 50–222 µS/cm, median = 81 µS/cm). The median concentration of nutrients was (in mg/L) in the order NO3− (41.3) > SO42− (7.7) > K+ (5.2) > PO43− (0.1) in groundwater and rather K+ (3.3) > NO3− (0.3) > SO42− (0.2) > PO43− (0.2) in surface water. Using hierarchical cluster analysis and Schoeller diagram, we identified three distinct water quality groups. Group I, which contained cluster 1 and 2 were generally less mineralized and characterised as Na + K − HCO3 water type found in the urban area such as Garoua and Lagdo. Group II, containing cluster 3 was much higher mineralized and characterised as the Na + K − HCO3 water type with elevated nitrate. The occurrence of these groups is linked to the outcrops of cretaceous terrestrial sediments of the Garoua basin. Group III, which contained cluster 4 were heavily mineralized and characterised as the Ca + Mg − NO3 water type. The occurrence was controlled by the outcrop of the crystalline Proterozoic basement. The nitrate median (41 mg/L) found in groundwater demonstrates the influence exerted by anthropogenic activities. Management strategies are required for the whole study area to limit further deterioration of groundwater resources in the wake of the planned expansion of agricultural productivity in the North Region of Cameroon.
The impact of sensing parameters on data management and anomaly detection in structural health monitoring
Authors: Favarelli Elia , Testi Enrico , Giorgetti Andrea 
Published: March 2022

AbstractThe massive and autonomous structural health monitoring (SHM) of bridges is a problem that is of growing interest due to its importance and topicality. However, a considerable amount of data must be elaborated and managed in such an application. This paper proposes a set of machine learning (ML) tools to detect anomalies in a bridge from vibrational measurements using the minimum amount of data. The proposed framework starts from the fundamental frequencies extracted through operational modal analysis (OMA) and clustering, followed by a density-based time-domain tracking algorithm. The fundamental frequencies extracted are then fed to one-class classification (OCC) algorithms that perform anomaly detection. Then, to reduce the amount of data, we analyze the effect of the number of sensors, the number of bits per sample, the observation time, and the measurement noise on damage detection performance. As a case study, the Z-24 bridge is considered because of the extensive database of accelerometric measurements in both standard and damaged conditions. A comparison of OCC algorithms, such as principal component analysis (PCA), kernel principal component analysis (KPCA), Gaussian mixture model (GMM) and one-class classifier neural network (OCCNN)$$^2$$

2

is performed, and their robustness to data shrinking is evaluated. In many cases, OCCNN$$^2$$

2

increases the performance with respect to classical anomaly detection techniques in terms of accuracy.
Similarities and differences between real and complex Banach spaces: an overview and recent developments
Authors: Moslehian M. S. , Muñoz-Fernández G. A. , Peralta A. M. , Seoane-Sepúlveda J. B. 
Published: March 2022

AbstractThere are numerous cases of discrepancies between results obtained in the setting of real Banach spaces and those obtained in the complex context. This article is a modern exposition of the subtle differences between key results and theories for complex and real Banach spaces and the corresponding linear operators between them. We deeply discuss some aspects of the complexification of real Banach spaces and give several examples showing how drastically different can be the behavior of real Banach spaces versus their complex counterparts.
Multilayer Strategy for Photoelectrochemical Hydrogen Generation: New Electrode Architecture that Alleviates Multiple Bottlenecks
Authors: Seenivasan Selvaraj , Moon Hee , Kim Do-Heyoung 
Published: March 2022

AbstractYears of research have demonstrated that the use of multiple components is essential to the development of a commercial photoelectrode to address specific bottlenecks, such as low charge separation and injection efficiency, low carrier diffusion length and lifetime, and poor durability. A facile strategy for the synthesis of multilayered photoanodes from atomic-layer-deposited ultrathin films has enabled a new type of electrode architecture with a total multilayer thickness of 15–17 nm. We illustrate the advantages of this electrode architecture by using nanolayers to address different bottlenecks, thus producing a multilayer photoelectrode with improved interface kinetics and shorter electron transport path, as determined by interface analyses. The photocurrent density was twice that of the bare structure and reached a maximum of 33.3 ± 2.1 mA cm−2 at 1.23 VRHE. An integrated overall water-splitting cell consisting of an electrocatalytic NiS cathode and Bi2S3/NiS/NiFeO/TiO2 photoanode was used for precious-metal-free seawater splitting at a cell voltage of 1.23 V without degradation. The results and root analyses suggest that the distinctive advantages of the electrode architecture, which are superior to those of bulk bottom-up core–shell and hierarchical architectures, originate from the high density of active sites and nanometer-scale layer thickness, which enhance the suitability for interface-oriented energy conversion processes.