bluuebunny/crossref_metadata_2025_split huggingface dataset:
A better start literacy approach: effectiveness of Tier 1 and Tier 2 support within a response to teaching framework
Authors: Gillon Gail , McNeill Brigid , Scott Amy , Arrow Alison , Gath Megan , Macfarlane Angus 
Published: June 2022

AbstractThe Better Start Literacy Approach (BSLA) is a strengths-based approach to supporting children’s literacy learning in their first year of school. Previous research has shown the approach is effective at accelerating foundational literacy knowledge in children with lower levels of oral language. This study examined the impact of the BSLA for children with varied language profiles and across schools from diverse socioeconomic communities. Additionally, a controlled analysis of the impact of Tier 2 teaching within a response to teaching framework was undertaken. Participants included 402 five-year-old children from 14 schools in New Zealand. A randomised delayed treatment design was utilised to establish the effect of Tier 1 teaching. Analyses showed a significant Tier 1 intervention effect for phoneme awareness, letter-sound knowledge, non-word reading and non-word spelling. There was no difference in intervention effects across socioeconomic groupings. Children were identified for Tier 2 teaching after 10 weeks of Tier 1 implementation. The progress of 98 children in response to Tier 2 teaching was compared to 26 children who met Tier 2 criteria but received only Tier 1 teaching within this study. Children in the Tier 2 group scored significantly higher on phonological awareness, non-word reading, and spelling than the control group at the post-Tier 2 assessment point, after controlling for pre-Tier 2 scores. The results suggest that a proactive strengths-based approach to supporting foundational literacy learning in children’s first year of school benefits all learners. The findings have important implications for early provision of literacy learning support in order to reduce current inequities in literacy outcomes.
Evidence that conserved essential genes are enriched for pro-longevity factors
Authors: Oz Naci , Vayndorf Elena M. , Tsuchiya Mitsuhiro , McLean Samantha , Turcios-Hernandez Lesly , Pitt Jason N. , Blue Benjamin W. , Muir Michael , Kiflezghi Michael G. , Tyshkovskiy Alexander , Mendenhall Alexander , Kaeberlein Matt , Kaya Alaattin 
Published: June 2022

AbstractAt the cellular level, many aspects of aging are conserved across species. This has been demonstrated by numerous studies in simple model organisms like Saccharomyces cerevisiae, Caenorhabdits elegans, and Drosophila melanogaster. Because most genetic screens examine loss of function mutations or decreased expression of genes through reverse genetics, essential genes have often been overlooked as potential modulators of the aging process. By taking the approach of increasing the expression level of a subset of conserved essential genes, we found that 21% of these genes resulted in increased replicative lifespan in S. cerevisiae. This is greater than the ~ 3.5% of genes found to affect lifespan upon deletion, suggesting that activation of essential genes may have a relatively disproportionate effect on increasing lifespan. The results of our experiments demonstrate that essential gene overexpression is a rich, relatively unexplored means of increasing eukaryotic lifespan.
Checkpoint Inhibitors and the Changing Face of the Relapsed/Refractory Classical Hodgkin Lymphoma Pathway
Authors: Zhang Xiao-Yin , Collins Graham P. 
Published: June 2022

Abstract

Purpose of Review
Checkpoint inhibitors (CPIs) targeting PD1 are highly active in relapsed/refractory classical Hodgkin lymphoma. A plethora of recent studies, often small and non-randomised, have raised many questions about how to optimally integrate these into clinical practice. We aim to discuss the use of CPIs in different relapsed/refractory settings in an effort to better define their role and highlight areas of research.

Recent Findings
CPIs have shown efficacy at first relapse, as salvage pre- and post-autologous (ASCT) and allogeneic stem cell transplant (alloSCT) and as maintenance post-ASCT. Immune-related adverse events require careful attention, especially when used peri-alloSCT, where it is associated with hyperacute graft-versus-host disease. Newer PD1 inhibitors, as well as strategies to overcome CPI resistance, are being tested.

Summary
CPIs are increasingly deployed at earlier points in the classical Hodgkin lymphoma pathway. Whilst progress is clearly being made, randomised studies are required to more clearly define the optimal positioning of these agents.
Design of an All-Fiber Fabry-Perot Sensor for Strain Measurement in Radiative Environment
Authors: Yang Tingting , Ran Zengling , He Xiu , Gan Lupeng , He Zhengxi , Zhu Jialiang , He Peng , Li Zhuoyue , Sun Dong 
Published: June 2022

AbstractA length-matched micro Fabry-Perot (FP) interferometer is proposed for strain measurement under irradiation environment. Theoretical simulation shows that a well length-matched FP sensor can achieve a very low drift of the cavity length and strain sensitivity in irradiation environment. In experiment, such an FP cavity is realized by laser micromachining. It shows a low cavity length drift of −0.037 µm and a strain sensitivity deviation of 0.52%, respectively, under gamma irradiation. Meanwhile, the intensity of interference fringes is also stable. As a result, such a length-matched FP cavity is a very promising candidate for strain sensing in radiative environments.
Side Polished Fiber: A Versatile Platform for Compact Fiber Devices and Sensors
Authors: Zhuo Linqing , Tang Jieyuan , Zhu Wenguo , Zheng Huadan , Guan Heyuan , Lu Huihui , Chen Yaofei , Luo Yunhan , Zhang Jun , Zhong Yongchun , Yu Jianhui , Chen Zhe 
Published: June 2022

AbstractSide polished fiber (SPF) has a controllable average roughness and length of the side-polishing region, which becomes a versatile platform for integrating multiple materials to interact with the evanescent field to fabricate all-fiber devices and sensors. It has been widely used in couplers, filters, polarizers, optical attenuators, photodetectors, modulators, and sensors for temperature, humidity, strain, biological molecules, chemical gas, and vector magnetic monitoring. In this article, an overview of the development history, fabrication techniques, fiber types, transmission characteristics, and varied recent applications of SPFs are reviewed. Firstly, the fabrication techniques of SPFs are reviewed, including the V-groove assisted polishing technique and wheel polishing technique. Then, the different types of SPFs and their characteristics are discussed. Finally, various applications of SPFs are discussed and concluded theoretically and experimentally, including their principles and structures. When designing the device, the residual thickness and polishing lengths of the SPF need to be appropriately selected in order to obtain the best performance. Developing all-fiber devices and sensors is aimed at practical usability under harsh environments and allows to avoid the high coupling loss between optical fibers and on-chip integrated devices.
High-Precision Magnetic Field Sensor Based on Fiber Bragg Grating and Dual-Loop Optoelectronic Oscillator
Authors: Sun Wei , Liu Xiangyu , Deng Ming 
Published: June 2022

AbstractA novel fiber-optic magnetic field sensor with high interrogation speed and resolution by using an etched fiber Bragg grating (FBG) in conjunction with a dual-loop optoelectronic oscillator (OEO) is proposed and experimentally demonstrated. A commercial FBG is firstly dipped into mixed hydrofluoric acid solution to remove the cladding layer and then is embedded with the magnetic fluid (MF) as a sensing element. The central wavelength reflected from the FBG is related to the overall time delay of the dual-loop OEO, which determines the oscillating frequency of the OEO. Therefore, the magnetic field can be estimated by measuring the oscillating frequency shift of OEO. The experimental results show that the oscillating frequency linearly increases with the increment of the magnetic field, achieving the sensitivity of 16.3 Hz/Oe with a R-square of 0.991 in the range of 5 mT–10 mT. In addition, the maximum error is within ±0.05 mT in the range of 7 mT–8 mT, which offers potentials in many fields where the high-precision magnetic field measurement is required.
Future perspectives for advancing regulatory science of nanotechnology-enabled health products
Authors: Halamoda-Kenzaoui Blanka , Geertsma Robert , Pouw Joost , Prina-Mello Adriele , Carrer Moreno , Roesslein Matthias , Sips Adrienne , Weltring Klaus Michael , Spring Kathleen , Bremer-Hoffmann Susanne 
Published: June 2022

AbstractThe identification of regulatory challenges for nanotechnology-enabled health products, followed by discussions with the involved stakeholders, is the first step towards a strategic planning of how such challenges can be successfully addressed in the future. In order to better understand whether the identified regulatory needs are sector-specific for health products or might also hinder the progress in other domains, the REFINE consortium reached out to communities representing other sectors that also exploit the potential of nanotechnology, i.e. industrial chemicals, food and cosmetics. Through a series of trans-sectorial workshops, REFINE partners identified common as well as sector-specific challenges and discussed possible ways forward. Potential solutions lie in a more strengthen collaboration between regulatory and research communities resulting in a targeted production and exploitation of academic data for the regulatory decision-making. Furthermore, a coordinated use of knowledge sharing platforms and databases, trans-sectorial standardisation activities and harmonisation of regulatory activities between geographical regions are possible ways forward, in line with the upcoming European political initiatives such as the Chemical Strategy for Sustainability (CSS). Finally, we also discuss the perspectives for further development and sustainability of methods and tools developed in the REFINE project.
Graphical abstract
Lubrication mechanism of a strong tribofilm by imidazolium ionic liquid
Authors: Song Wei , Zhang Jie , Campen Sophie , Yan Jincan , Ji Hongbing , Wong Janet S. S. 
Published: June 2022

AbstractFriction modifiers (FMs) are surface-active additives added to base fluids to reduce friction between rubbing surfaces. Their effectiveness depends on their interactions with rubbing surfaces and may be mitigated by the choice of the base fluid. In this work, the performance of an imidazolium ionic liquid (ImIL) additive in polyethylene-glycol (PEG) and 1,4-butanediol for lubricating steel/steel and diamond-like-carbon/diamond-like carbon (DLC—DLC) contacts were investigated. ImIL-containing PEG reduces friction more effectively in steel—steel than DLC—DLC contacts. In contrast, adding ImIL in 1,4-butanediol results in an increase in friction in steel—steel contacts. Results from the Raman spectroscopy, X-ray photoelectron spectroscopy (XPS), and focused ion beam-transmission electron microscopy (FIB-TEM) reveal that a surface film is formed on steel during rubbing in ImIL-containing PEG. This film consists of two layers. The top layer is composed of amorphous carbon and are easily removed during rubbing. The bottom layer, which contains iron oxide and nitride compound, adheres strongly on the steel surface. This film maintains its effectiveness in a steel—steel contact even after ImIL additives are depleted. Such film is not observed in 1,4-butanediol where the adsorption of ImIL is hindered, as suggested by the quartz crystal microbalance (QCM) measurements. No benefit is observed when the base fluid on its own is sufficiently lubricious, as in the case of DLC surfaces.This work provides fundamental insights on how compatibilities among base fluid, FM, and rubbing surface affect the performance of IL as surface active additives. It reveals the structure of an ionic liquid (IL) surface film, which is effective and durable. The knowledge is useful for guiding future IL additive development.
Patient perspectives on chronic kidney disease and decision-making about treatment. Discourse of participants in the French CKD-REIN cohort study
Authors: Montalescot Lucile , Dorard Géraldine , Speyer Elodie , Legrand Karine , Ayav Carole , Combe Christian , Stengel Bénédicte , Untas Aurélie 
Published: June 2022

Abstract
Background
Little is known about psychological issues in patients with chronic kidney disease (CKD) facing transition to kidney failure and the involvement of their family in decision-making about kidney replacement therapy (KRT). This study investigated patients’ experience of their illness, their views on KRT choice and their perception of the influence of their relatives.

Methods
We conducted a qualitative study nested in the CKD-REIN prospective cohort study which included non-dialysis CKD patients from 40 nationally representative nephrology clinics. Among 1555 patients who returned a self-administered questionnaire, we used purposive sampling to select 50 participants who underwent semi-structured phone interviews with a psychologist.

Results
The patients' mean age was 62.2 ± 12 years, 42% were women, and 68% had CKD stage 4–5. The analysis yielded four lexical classes: “illness rhythm”, “considering dialysis”, “family and transplantation”, and “disease, treatment choice and introspection”. When experiencing few or mild symptoms, patients tended to avoid thinking about CKD, for the prospect of dialysis was the most stressful part of their experience. Surprisingly, the importance of family appeared when they talked about transplantation decision-making, but not about choice of dialysis modality.

Conclusions
Cognitive avoidance seems common in patients with advanced CKD. Transplantation and dialysis decision-making appear to be two distinct processes, with different levels of family involvement. More research is needed to better understand the frequency and impact of cognitive avoidance on patients’ well-being and decision-making.

Graphic abstract
Alternaria species causing pomegranate and citrus fruit rots in Albania
Authors: Cara Magdalena , Toska Mirela , Frasheri Dajana , Baroncelli Riccardo , Sanzani Simona Marianna 
Published: June 2022

AbstractThe fungal genus Alternaria is a relevant pathogen for several commodities including citrus and pomegranate fruits. On citrus, it mainly causes brown spots on fruits and leaves, whereas on pomegranate, it mostly causes a fruit heart rot. In the present study the presence of Alternaria rots on citrus and pomegranate fruits cultivated in Albania was assessed. Representative fruits were collected from different regions. Nineteen and thirteen Alternaria spp. isolates were obtained from pomegranate and citrus samples, respectively. The isolates were identified at species and morphotype level. Micro and macroscopic features separated isolates into four morphotypes. BLAST and phylogenetic analysis using the SCAR Marker OPA1-3 confirmed the isolate identity. All 32 isolates proved to be Alternaria alternata and belonged mainly to morphotype alternata, followed by limoniasperae and tenuissima. All Alternaria strains proved to possess the pksI gene of alternariol biosynthesis. Citrus isolates were tested for the presence of genes of the biosynthesis of the phytotoxins ACT and ACR, but none of them proved to possess them. Concluding, Alternaria spp. might represent a treat to pomegranate and citrus production in Albania, and thus effective control means are needed.
Cascading socio-environmental sustainability risks of agricultural export miracle in Peru
Authors: Lashkari Azam , Irannezhad Masoud , Liu Junguo , Schulthess Urs 
Published: June 2022

AbstractThis commentary sheds light on the integration of cascading environmental, economic, and social risks into conscious sustainable development strategies. For this, we investigated the Andean Trade Preference Act (ATPA), which was established in 1991 to simultaneously fight against the production, processing, and trafficking of illegal drugs while also developing alternative industries to expand economic opportunities in the Andean countries (Bolivia, Colombia, Ecuador, and Peru); which are being faced with decades of narcotic violence and corruption. Accordingly, we unfolded the chains of mechanisms by which, cascading like toppling dominoes, the ATPA has led to a profitable economy but unsustainable environment and social inequality in the hyper-arid region of Ica in Peru. To pioneer Peru in sustainability risk management in Ica, hence, it is recommended to act towards regional sustainable irrigation expansion by employing efficient water-saving irrigation technologies. Finally, we indicated that freshwater should be considered as both natural and human rights in sustainable alternative development strategies.
A critical review of biochar-based nitrogen fertilizers and their effects on crop production and the environment
Authors: Gao Yurong , Fang Zheng , Van Zwieten Lukas , Bolan Nanthi , Dong Da , Quin Bert F. , Meng Jun , Li Fangbai , Wu Fengchang , Wang Hailong , Chen Wenfu 
Published: June 2022

Abstract
Globally, nitrogen (N) fertilizer demand is expected to reach 112 million tonnes to support food production for about 8 billion people. However, more than half of the N fertilizer is lost to the environment with impacts on air, water and soil quality, and biodiversity. Importantly, N loss to the environment contributes to greenhouse gas emissions and climate change. Nevertheless, where N fertilizer application is limited, severe depletion of soil fertility has become a major constraint to sustainable agriculture. To address the issues of low fertilizer N use efficiency (NUE), biochar-based N fertilizers (BBNFs) have been developed to reduce off-site loss and maximize crop N uptake. These products are generally made through physical mixing of biochar and N fertilizer or via coating chemical N fertilizers such as prilled urea with biochar. This review aims to describe the manufacturing processes of BBNFs, and to critically assess the effects of the products on soil properties, crop yield and N loss pathways.

Graphical Abstract
Characterization of two constitutive promoters RPS28 and EIF1 for studying soybean growth, development, and symbiotic nodule development
Authors: Chen Shengcai , Peng Yaqi , Lv Qi , Liu Jing , Wu Zhihua , Wang Haijiao , Wang Xuelu 
Published: June 2022

AbstractNative promoters that can drive high and stable transgene expression are important tools for modifying plant traits. Although several such promoters have been reported in soybean (Glycine max), few of them function at multiple growth and development stages and during nodule development. Here, we report that the promoters of 40S RIBOSOMAL PROTEIN SMALL SUBUNIT S28 (RPS28) and EUKARYOTIC TRANSLATION INITIATION FACTOR 1 (EIF1) are ideal for high expression of transgene. Through bioinformatic analysis, we determined that RPS28 and EIF1 were highly expressed during soybean growth and development, nodule development, and various biotic and abiotic stresses. Fusion of both RPS28 and EIF1 promoters, with or without their first intron, with the reporter gene β-GLUCURONIDASE (uidA) in transgenic soybean, resulted in high GUS activity in seedlings, seeds, and nodules. Fluorimetric GUS assays showed that the RPS28 promoter and the EIF1 promoter yielded high expression, comparable to the soybean Ubiquitin (GmUbi) promoter. RPS28 and EIF1 promoters were also highly expressed in Arabidopsis thaliana and Nicotiana benthamiana. Our results indicate the potential of RPS28 and EIF1 promoters to facilitate future genetic engineering and breeding to improve the quality and yield of soybean, as well as in a wide variety of other plant species.
Ecovillages and other community-led initiatives as experiences of climate action
Authors: Schwab Anne-Kathrin , Roysen Rebeca 
Published: June 2022

AbstractThis editorial aims to clarify the role of community-led initiatives such as ecovillages in the global efforts to mitigate climate change. The response to the climate crises prefigured by these initiatives is based on relocalisation, cultural diversity and social empowerment. In this paper, we describe their commonalities, limitations and their potentials towards a decarbonisation of everyday life and the emergence of a decentralised and empowered civil society. We see community-led initiatives as laboratories and transformative learning fields on sustainable practices, interpersonal competencies, personal development, and the creation of plural ways of living, relating and knowing. We underline the need for greater recognition of community-led initiatives by scientific, economic and political actors in the framework of a concerted climate governance from the top-down and from the bottom-up.
Whole-genome sequencing surveillance and machine learning for healthcare outbreak detection and investigation: A systematic review and summary
Authors: Sundermann Alexander J. , Chen Jieshi , Miller James K. , Martin Elise M. , Snyder Graham M. , Van Tyne Daria , Marsh Jane W. , Dubrawski Artur , Harrison Lee H. 
Published: June 2022

Abstract

Background:
Whole-genome sequencing (WGS) has traditionally been used in infection prevention to confirm or refute the presence of an outbreak after it has occurred. Due to decreasing costs of WGS, an increasing number of institutions have been utilizing WGS-based surveillance. Additionally, machine learning or statistical modeling to supplement infection prevention practice have also been used. We systematically reviewed the use of WGS surveillance and machine learning to detect and investigate outbreaks in healthcare settings.

Methods:
We performed a PubMed search using separate terms for WGS surveillance and/or machine-learning technologies for infection prevention through March 15, 2021.

Results:
Of 767 studies returned using the WGS search terms, 42 articles were included for review. Only 2 studies (4.8%) were performed in real time, and 39 (92.9%) studied only 1 pathogen. Nearly all studies (n = 41, 97.6%) found genetic relatedness between some isolates collected. Across all studies, 525 outbreaks were detected among 2,837 related isolates (average, 5.4 isolates per outbreak). Also, 35 studies (83.3%) only utilized geotemporal clustering to identify outbreak transmission routes. Of 21 studies identified using the machine-learning search terms, 4 were included for review. In each study, machine learning aided outbreak investigations by complementing methods to gather epidemiologic data and automating identification of transmission pathways.

Conclusions:
WGS surveillance is an emerging method that can enhance outbreak detection. Machine learning has the potential to identify novel routes of pathogen transmission. Broader incorporation of WGS surveillance into infection prevention practice has the potential to transform the detection and control of healthcare outbreaks.