bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improved reference genome of the arboviral vector Aedes albopictus
Authors: Palatini Umberto , Masri Reem A. , Cosme Luciano V. , Koren Sergey , Thibaud-Nissen Françoise , Biedler James K. , Krsticevic Flavia , Johnston J. Spencer , Halbach Rebecca , Crawford Jacob E. , Antoshechkin Igor , Failloux Anna-Bella , Pischedda Elisa , Marconcini Michele , Ghurye Jay , Rhie Arang , Sharma Atashi , Karagodin Dmitry A. , Jenrette Jeremy , Gamez Stephanie , Miesen Pascal , Masterson Patrick , Caccone Adalgisa , Sharakhova Maria V. , Tu Zhijian , Papathanos Philippos A. , Van Rij Ronald P. , Akbari Omar S. , Powell Jeffrey , Phillippy Adam M. , Bonizzoni Mariangela 
Published: August 2020

Abstract
Background
The Asian tiger mosquito Aedes albopictus is globally expanding and has become the main vector for human arboviruses in Europe. With limited antiviral drugs and vaccines available, vector control is the primary approach to prevent mosquito-borne diseases. A reliable and accurate DNA sequence of the Ae. albopictus genome is essential to develop new approaches that involve genetic manipulation of mosquitoes.

Results
We use long-read sequencing methods and modern scaffolding techniques (PacBio, 10X, and Hi-C) to produce AalbF2, a dramatically improved assembly of the Ae. albopictus genome. AalbF2 reveals widespread viral insertions, novel microRNAs and piRNA clusters, the sex-determining locus, and new immunity genes, and enables genome-wide studies of geographically diverse Ae. albopictus populations and analyses of the developmental and stage-dependent network of expression data. Additionally, we build the first physical map for this species with 75% of the assembled genome anchored to the chromosomes.

Conclusion
The AalbF2 genome assembly represents the most up-to-date collective knowledge of the Ae. albopictus genome. These resources represent a foundation to improve understanding of the adaptation potential and the epidemiological relevance of this species and foster the development of innovative control measures.
Intravenous iron isomaltoside versus oral iron supplementation for treatment of iron deficiency in pregnancy: protocol for a randomised, comparative, open-label trial
Authors: Markova Veronika , Hansen Rebecka , Thomsen Lars Lykke , Pinborg Anja , Moos Torben , Holm Charlotte 
Published: August 2020

Abstract
Background
Iron deficiency is common in pregnancy. If left untreated, iron deficiency can lead to iron deficiency anaemia, which is a condition related to maternal and neonatal morbidity. The prevalence of iron deficiency increases through the trimesters, which means that women with iron deficiency in the beginning of pregnancy also have a great risk of developing iron deficiency anaemia during pregnancy. Standard treatment is oral iron in individualised intensified doses based on screening values in 1st trimester.
Maternal symptoms of iron deficiency and iron deficiency anaemia include fatigue, reduced physical performance, and restless legs syndrome (RLS). Severe anaemia may cause dizziness, dyspnea, palpitation, orthostatism, and syncope, and it decreases the woman’s ability to cope with blood loss during delivery. The anaemia may also compromise contractility in the uterine musculature increasing the risk for prolonged labour, caesarean section, and postpartum haemorrhage. Foetal iron deficiency may cause low birthweight and adversely affect foetal and early childhood brain development with long-term deficits.

Methods
In this randomised comparative, open-label, single-centre, phase IV trial, 200 pregnant women between 14 and 21 weeks of gestation who have iron deficiency after 4 weeks of standard treatment will be randomised 1:1 to either a single 1000 mg dose of intravenously administered ferric derisomaltose/iron isomaltoside 1000 or a fixed dose of 100 mg oral ferrous fumarate containing 60 mg ascorbic acid.
The primary endpoint is to prevent iron deficiency anaemia defined by a low level of haemoglobin throughout the trial. Other endpoints include other haematological indices of iron deficiency and anaemia, clinical outcomes by questionnaires, and collection of adverse events. Explorative endpoints by medical record follow-up include complications up to 7 days after delivery.

Discussion
This trial will provide evidence on how to prevent iron deficiency anaemia. The trial population represents a clinical reality where pregnant women often have sustained iron deficiency despite an increased oral iron dose. Thus, this evidence can be used to consider the optimal 2nd line of treatment in iron-deficient pregnant women.

Trial registration
European Union Drug Regulating Authorities Clinical Trials Database 2017-000776-29. Registered on 3 May 2017.
ClinicalTrials.gov NCT03188445. Registered on 15 June 2017.
“Protocol for a phase 2, randomized, double-blind, placebo-controlled, safety and efficacy study of dutogliptin in combination with filgrastim in early recovery post-myocardial infarction”: study protocol for a randomized controlled trial
Authors: von Lewinski Dirk , Selvanayagam Joseph B. , Schatz Richard A. , Jilma Bernd , Kubica Jacek , Povsic Thomas J. , Nix Darrell , Henauer Stephan , Wallner Markus ,   on behalf of the REC-DUT-002 study group
Published: August 2020

Abstract
Background
Regenerative therapies offer new approaches to improve cardiac function after acute ST-elevation myocardial infarction (STEMI). Previous trials using bone marrow cells, selected stem cell populations, or cardiac stem cell progenitors require invasive procedures and had so far inconclusive results. A less invasive approach utilizes granulocyte-colony stimulating factor (G-CSF) to mobilize stem cells to circulating blood and induce neovascularization and differentiation into endothelial cells and cardiomyocytes. Stromal cell-derived factor 1 alpha (SDF-1α) is an important chemokine for initiating stem cell migration and homing to ischemic myocardium. SDF-1α concentrations can be increased by inhibition of CD26/DPP4. Dutogliptin, a novel DPP4 inhibitor, combined with stem cell mobilization using G-CSF significantly improved survival and reduced infarct size in a murine model.

Methods
We test the safety and tolerability and efficacy of dutogliptin in combination with filgrastim (G-CSF) in patients with STEMI (EF < 45%) following percutaneous coronary intervention (PCI). Preliminary efficacy will be analyzed using cardiac magnetic resonance imaging (cMRI) to detect > 3.8% improvement in left ventricular ejection fraction (LV-EF) compared to placebo. One hundred forty subjects will be randomized to filgrastim plus dutogliptin or matching placebos.

Discussion
The REC-DUT-002 trial is the first to evaluate dutogliptin in combination with G-CSF in patients with STEMI. Results will lay the foundation for an appropriately powered cardiovascular outcome trial to test the efficacy of this combined pharmacological strategy.

Trial registration
EudraCT no.: 2018-000916-75. Registered on 7 June 2018. IND number: 123717
Delivery of a Mental Health First Aid training package and staff peer support service in secondary schools: a process evaluation of uptake and fidelity of the WISE intervention
Authors: Fisher Harriet , Harding Sarah , Bell Sarah , Copeland Lauren , Evans Rhiannon , Powell Jillian , Araya Ricardo , Campbell Rona , Ford Tamsin , Gunnell David , Murphy Simon , Kidger Judi 
Published: August 2020

Abstract
Background
Improving children and young people’s provision for mental health is a current health priority in England. Secondary school teachers have worse mental health outcomes than the general working population, which the Wellbeing in Secondary Education (WISE) cluster randomised controlled trial aimed to improve. The WISE intervention comprised a Mental Health First Aid (MHFA) training package delivered to at least 16% of staff, a short mental health awareness session to all teachers and development of a staff peer support service. Twenty-five schools were randomised to intervention or control arms. This paper reports findings regarding the extent of uptake and fidelity of the intervention.

Methods
Mixed methods data collection comprised researcher observations of training delivery, training participant evaluation forms, trainer and peer supporter interviews, peer supporter feedback meetings, logs of support provided, and teacher questionnaires. Quantitative data were summarised descriptively, while thematic analysis was applied to the qualitative data.

Results
In the 12 schools assigned to the intervention arm, 113 (8.6%) staff completed the 2-day standard MHFA training course, and a further 146 (11.1%) staff completed the 1-day MHFA for schools and colleges training. In seven (58.3%) schools, the required 8% of staff completed the MHFA training packages. A 1-h mental health awareness-raising session was attended by 666 (54.5%) staff. Delivery of the MHFA training package was achieved with high levels of fidelity and quality across schools. All schools set up the peer support service following training, with a majority adhering to most of the operational guidelines developed from the pilot study at the outset. Teachers reported limited use of the peer support service during follow-up. At the 1-year follow-up, only three (25.0%) schools indicated they had re-advertised the service and there was evidence of a reduction in support from senior leadership.

Conclusion
The MHFA training package was delivered with reasonably high fidelity, and a staff peer support service was established with general, but not complete, adherence to guidelines. In some schools, insufficient staff received MHFA training and levels of delivery of the peer support service compromised intervention dose and reach.

Trial registration
ISRCTN 95909211. Registered on 15 January 2016
Quantitative analysis of the effects of morphological changes on extracellular electron transfer rates in cyanobacteria
Authors: Okedi Tonny I. , Fisher Adrian C. , Yunus Kamran 
Published: August 2020

Abstract
Background
Understanding the extracellular electron transport pathways in cyanobacteria is a major factor towards developing biophotovoltaics. Stressing cyanobacteria cells environmentally and then probing changes in physiology or metabolism following a significant change in electron transfer rates is a common approach for investigating the electron path from cell to electrode. However, such studies have not explored how the cells’ concurrent morphological adaptations to the applied stresses affect electron transfer rates. In this paper, we establish a ratio to quantify this effect in mediated systems and apply it to Synechococcus elongatus sp. PCC7942 cells grown under different nutritional regimes.

Results
The results provide evidence that wider and longer cells with larger surface areas have faster mediated electron transfer rates. For rod-shaped cells, increase in cell area as a result of cell elongation more than compensates for the associated decline in mass transfer coefficients, resulting in faster electron transfer. In addition, the results demonstrate that the extent to which morphological adaptations account for the changes in electron transfer rates changes over the bacterial growth cycle, such that investigations probing physiological and metabolic changes are meaningful only at certain time periods.

Conclusion
A simple ratio for quantitatively evaluating the effects of cell morphology adaptations on electron transfer rates has been defined. Furthermore, the study points to engineering cell shape, either via environmental conditioning or genetic engineering, as a potential strategy for improving the performance of biophotovoltaic devices.
Controlling stem cell fate using cold atmospheric plasma
Authors: Tan Fei , Fang Yin , Zhu Liwei , Al-Rubeai Mohamed 
Published: August 2020

AbstractThe stem cell is the foundation of regenerative medicine and tissue engineering. Regulating specific stem cell fate, such as cell attachment, proliferation, differentiation, and even death, undergoes continuous development. Cold atmospheric plasma (CAP), the core technology of plasma medicine, is attracting tremendous attention due to its ability and versatility to manipulate various types of cells, including stem cells. Specifically, the direct and indirect applications of CAP in controlling cell fate are best exemplified by upfront irradiation of the stem cells and modification of the stem cell niche, respectively. This review will describe the recent advances in various CAP strategies, both direct and indirect, and their influence on the fate of healthy and cancer stem cells. Particular emphasis will be placed on the mechanism of connecting the physical and chemical cues carried by the plasma and biological changes presented by the cells, especially at the transcriptomic level. The ultimate goal is to exploit CAP’s potential in regenerative medicine.
Reversible data hiding in encrypted binary image with shared pixel prediction and halving compression
Authors: Li Fengyong , Zhang Lianming , Wei Weimin 
Published: August 2020

AbstractIn this paper, a new reversible data hiding scheme in encrypted binary image is proposed by shared pixel prediction and halving compression. We first divide binary image into non-overlapping pure color blocks and non-pure color blocks, and then partition each non-pure color block as shared pixels and embeddable pixels by a cross-segmentation mechanism. Then, a location sequence which marked all blocks is further compressed by halving compression and is considered as auxiliary data. Subsequently, after performing image encryption, data hider embeds additional data into the pixels of pure color blocks and embeddable pixels of non-pure color blocks. Finally, separable operations of data extraction, direct image decryption, and image recovery are conducted by the receiver. With shared pixel prediction mechanism, perfect image recovery can be achieved. Extensive experiments demonstrate that compared with existing methods, our scheme can obtain a higher visual quality of decrypted images, while maintaining a larger embedding capacity.
Predictive biomarkers for cancer immunotherapy with immune checkpoint inhibitors
Authors: Bai Rilan , Lv Zheng , Xu Dongsheng , Cui Jiuwei 
Published: August 2020

AbstractAlthough the clinical development of immune checkpoint inhibitors (ICIs) therapy has ushered in a new era of anti-tumor therapy, with sustained responses and significant survival advantages observed in multiple tumors, most patients do not benefit. Therefore, more and more attention has been paid to the identification and development of predictive biomarkers for the response of ICIs, and more in-depth and comprehensive understanding has been continuously explored in recent years. Predictive markers of ICIs efficacy have been gradually explored from the expression of intermolecular interactions within tumor cells to the expression of various molecules and cells in tumor microenvironment, and been extended to the exploration of circulating and host systemic markers. With the development of high-throughput sequencing and microarray technology, a variety of biomarker strategies have been deeply explored and gradually achieved the process from the identification of single marker to the development of multifactorial synergistic predictive markers. Comprehensive predictive-models developed by integrating different types of data based on different components of tumor-host interactions is the direction of future research and will have a profound impact in the field of precision immuno-oncology. In this review, we deeply analyze the exploration course and research progress of predictive biomarkers as an adjunctive tool to tumor immunotherapy in effectively identifying the efficacy of ICIs, and discuss their future directions in achieving precision immuno-oncology.
Prediction of probable backorder scenarios in the supply chain using Distributed Random Forest and Gradient Boosting Machine learning techniques
Authors: Islam Samiul , Amin Saman Hassanzadeh 
Published: August 2020

AbstractPrediction using machine learning algorithms is not well adapted in many parts of the business decision processes due to the lack of clarity and flexibility. The erroneous data as inputs in the prediction process may produce inaccurate predictions. We aim to use machine learning models in the area of the business decision process by predicting products’ backorder while providing flexibility to the decision authority, better clarity of the process, and maintaining higher accuracy. A ranged method is used for specifying different levels of predicting features to cope with the diverse characteristics of real-time data which may happen by machine or human errors. The range is tunable that gives flexibility to the decision managers. The tree-based machine learning is chosen for better explainability of the model. The backorders of products are predicted in this study using Distributed Random Forest (DRF) and Gradient Boosting Machine (GBM). We have observed that the performances of the machine learning models have been improved by 20% using this ranged approach when the dataset is highly biased with random error. We have utilized a five-level metric to indicate the inventory level, sales level, forecasted sales level, and a four-level metric for the lead time. A decision tree from one of the constructed models is analyzed to understand the effects of the ranged approach. As a part of this analysis, we list major probable backorder scenarios to facilitate business decisions. We show how this model can be used to predict the probable backorder products before actual sales take place. The mentioned methods in this research can be utilized in other supply chain cases to forecast backorders.
Muscle-strengthening Exercise Epidemiology: a New Frontier in Chronic Disease Prevention
Authors: Bennie Jason A. , Shakespear-Druery Jane , De Cocker Katrien 
Published: August 2020

AbstractThis current opinion provides an overview of the emerging discipline of muscle-strengthening exercise epidemiology. First, we define muscle-strengthening exercise, and discuss its recent addition into the global physical activity guidelines, which were historically mainly focused on aerobic physical activity (walking, running, cycling etc.). Second, we provide an overview of the current clinical and epidemiological evidence on the associations between muscle-strengthening exercise and health, showing a reduced mortality risk, and beneficial cardiometabolic, musculoskeletal, functional and mental health-related outcomes. Third, we describe the latest epidemiological research on the assessment, prevalence, trends and correlates of muscle-strengthening exercise. An overview of recent population estimates suggests that the proportion of adults meeting the current muscle-strengthening exercise guideline (10-30%; ≥ 2 sessions/week) is far lower than adults reporting meeting the aerobic exercise guideline (~ 50%; ≥ 150 min/week). Fourth, we discuss the complexity of muscle-strengthening exercise promotion, highlighting the need for concurrent, coordinated, and multiple-level strategies to increase population-level uptake/adherence of this exercise modality. Last, we explore key research gaps and strategies that will advance the field of muscle-strengthening exercise epidemiology. Our objective is to provide a case for increased emphasis on the role of muscle-strengthening exercise for chronic disease prevention, and most importantly, stimulate more research in this currently understudied area of physical activity epidemiology.
Diversity of Indonesian soto
Authors: Yudhistira Bara , Fatmawati Ani 
Published: August 2020

AbstractAs an archipelago country, Indonesia has a variety of ethnicities and cultures. In addition to local cultures, Indonesian culture has been influenced by a diversity of external cultures and foods in its development. One of the foods influenced by a culture from abroad is soto. Soto is varied, and its varieties are found in different regions throughout Indonesia. Soto is a food of Chinese origin that has been acculturated and adopted by Indonesian local cultures such as the Javanese, as well as by several other countries including India and Europe. During its development, soto was adapted to the cultures and natural resources found in each region of Indonesia, forming unique varieties of soto according to the ingredients used. Up to 75 unique forms of soto were identified in this study. Varieties of soto are distinguished by the type of broth and herbs used.
Open versus blind peer review: is anonymity better than transparency?
Authors: Shoham Natalie , Pitman Alexandra 
Published: August 2020

SUMMARYPeer review is widely accepted as essential to ensuring scientific quality in academic journals, yet little training is provided in the specifics of how to conduct peer review. In this article we describe the different forms of peer review, with a particular focus on the differences between single-blind, double-blind and open peer review, and the advantages and disadvantages of each. These illustrate some of the challenges facing the community of authors, editors, reviewers and readers in relation to the process of peer review. We also describe other forms of peer review, such as post-publication review, transferable review and collaborative review, and encourage clinicians and academics at all training stages to engage in the practice of peer review as part of continuing professional development.
Peer reviewing made easier: your questions answered
Authors: Halder Neel , Tyrer Peter , Casey Patricia 
Published: August 2020

SUMMARYPeer reviewing is a hugely important part of the scientific process that ensures published articles are of sufficient quality to deserve dissemination to the wider scientific community. Building on a previous article published in this journal, this article addresses topics that potential or practising peer reviewers may find useful. These include what peer reviewing is, why do peer reviews, how to become a reviewer, what to write in a review and where to find more information. It includes a template for writing a review, and lists various websites and guidelines that can help ease the entire process depending on what type of article is being reviewed. Peer reviewing can be enormously rewarding and help clinicians diversify their scope of work while also benefiting the scientific community by contributing to the quality control of published work.