bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stramenopile microalgae as “green biofactories” for recombinant protein production
Authors: de Grahl Imke , Reumann Sigrun 
Published: August 2021

AbstractPhotoautotrophic microalgae have become intriguing hosts for recombinant protein production because they offer important advantages of both prokaryotic and eukaryotic expression systems. Advanced molecular tools have recently been established for the biotechnologically relevant group of stramenopile microalgae, particularly for several Nannochloropsis species and diatoms. Strategies for the selection of powerful genetic elements and for optimization of protein production have been reported. Much needed high-throughput techniques required for straight-forward identification and selection of the best expression constructs and transformants have become available and are discussed. The first recombinant proteins have already been produced successfully in stramenopile microalgae and include not only several subunit vaccines but also one antimicrobial peptide, a fish growth hormone, and an antibody. These research results offer interesting future applications in aquaculture and as biopharmaceuticals. In this review we highlight recent progress in genetic technology development for recombinant protein production in the most relevant Nannochloropsis species and diatoms. Diverse realistic biotechnological applications of these proteins are emphasized that have the potential to establish stramenopile algae as sustainable green factories for an economically competitive production of high-value biomolecules.
The Landscape of Immunotherapy in Advanced NSCLC: Driving Beyond PD-1/PD-L1 Inhibitors (CTLA-4, LAG3, IDO, OX40, TIGIT, Vaccines)
Authors: De Giglio Andrea , Di Federico Alessandro , Nuvola Giacomo , Deiana Chiara , Gelsomino Francesco 
Published: August 2021

Abstract
Purpose of Review
In this review, we analyzed the current landscape of non-PD-(L)1 targeting immunotherapy.

Recent Findings
The advent of immunotherapy has completely changed the standard approach toward advanced NSCLC. Inhibitors of the PD-1/PD-L1 axis have quickly taken place as first-line treatment for NSCLC patients without targetable “driver” mutations. However, a non-negligible portion of patients derive modest benefit from immune-checkpoint inhibitors, and valid second-line alternatives are lacking, pushing researchers to analyze other molecules and pathways as potentially viable targets in the struggle against NSCLC.

Summary
Starting from the better characterized CTLA-4 inhibitors, we then critically collected the actual knowledge on NSCLC vaccines as well as on other emerging molecules, many of them in their early phase of testing, to provide to the reader a comprehensive overview of the state of the art of immunotherapy in NSCLC beyond PD-1/PD-L1 inhibitors.
Identification of New Transcription Factors that Can Promote Pluripotent Reprogramming
Authors: Huang Ping , Zhu Jieying , Liu Yu , Liu Guihuan , Zhang Ran , Li Dongwei , Pei Duanqing , Zhu Ping 
Published: August 2021

Abstract
Background
Four transcription factors, Oct4, Sox2, Klf4, and c-Myc (the Yamanka factors), can reprogram somatic cells to induced pluripotent stem cells (iPSCs). Many studies have provided a number of alternative combinations to the non-Yamanaka factors. However, it is clear that many additional transcription factors that can generate iPSCs remain to be discovered.

Methods
The chromatin accessibility and transcriptional level of human embryonic stem cells and human urine cells were compared by Assay for Transposase-Accessible Chromatin with high-throughput sequencing (ATAC-seq) and RNA sequencing (RNA-seq) to identify potential reprogramming factors. Selected transcription factors were employed to reprogram urine cells, and the reprogramming efficiency was measured. Urine-derived iPSCs were detected for pluripotency by Immunofluorescence, quantitative polymerase chain reaction, RNA sequencing and teratoma formation test. Finally, we assessed the differentiation potential of the new iPSCs to cardiomyocytes in vitro.

Results
ATAC-seq and RNA-seq datasets predicted TEAD2, TEAD4 and ZIC3 as potential factors involved in urine cell reprogramming. Transfection of TEAD2, TEAD4 and ZIC3 (in the presence of Yamanaka factors) significantly improved the reprogramming efficiency of urine cells. We confirmed that the newly generated iPSCs possessed pluripotency characteristics similar to normal H1 embryonic stem cells. We also confirmed that the new iPSCs could differentiate to functional cardiomyocytes.

Conclusions
In conclusion, TEAD2, TEAD4 and ZIC3 can increase the efficiency of reprogramming human urine cells into iPSCs, and provides a new stem cell sources for the clinical application and modeling of cardiovascular disease.

Graphical abstract
The origin of end flare in roll formed profiles
Authors: Moneke M. , Groche P. 
Published: August 2021

AbstractRoll forming is a continuous manufacturing process designed for large batch sizes. In order to economically produce roll formed parts with smaller batch sizes, the process setup times have to be reduced. During the setup, profile defects and especially the deformation caused by the release of the process-inherent residual stresses, also known as end flare, have to be counteracted. However, the knowledge regarding the creation of residual stresses is limited and the ability to reduce end flare usually depends on the experience of the process designer and the machine operator, which makes the setup time-consuming and cost-intensive. Therefore, in this paper the creation of end flare during the roll forming process is investigated in depth. As a result of this study explanation models for U-, C- and Hat-profiles, which link the creation of residual stresses to the local deformation during the forming process, are developed. Knowing how changes in the forming curve affect the creation of end flare allows to use a knowledge-based approach during the design and setup process, thereby reducing time and costs.
Bullying and Cyberbullying in Spain and Poland, and Their Relation to Social, Emotional and Moral Competencies
Authors: Llorent Vicente J. , Diaz-Chaves Adriana , Zych Izabela , Twardowska-Staszek Estera , Marín-López Inmaculada 
Published: August 2021

AbstractBullying and cyberbullying have been intensively studied in many countries, and research on the topic has been fruitful. Nevertheless, it is still necessary to advance knowledge on bullying and cyberbullying in many geographical areas and to discover their risk and protective factors. The objective of this study was to describe and compare the involvement in different bullying and cyberbullying roles in Spain and Poland, identifying risk and protective factors such as moral disengagement, social and emotional competencies, moral emotions and empathy. This study was carried out with a sample of 2535 primary and secondary school students from Spain and Poland. More bullying and cyberbullying involvement were found in Poland in comparison with Spain. Different moral disengagement mechanisms were found to be risk factors for involvement in bullying and cyberbullying in both countries. Low moral emotions were a risk factor for bullying and cyberbullying perpetration in Spain and Poland. Different social and emotional competencies were protective against bullying and cyberbullying in both countries. These results suggest the need to design and implement more programs to promote social, emotional and moral competencies in Spain and Poland to protect children against bullying and cyberbullying.
A Comparison of Deep Learning Techniques for Arterial Blood Pressure Prediction
Authors: Paviglianiti Annunziata , Randazzo Vincenzo , Villata Stefano , Cirrincione Giansalvo , Pasero Eros 
Published: August 2021

AbstractContinuous vital signal monitoring is becoming more relevant in preventing diseases that afflict a large part of the world’s population; for this reason, healthcare equipment should be easy to wear and simple to use. Non-intrusive and non-invasive detection methods are a basic requirement for wearable medical devices, especially when these are used in sports applications or by the elderly for self-monitoring. Arterial blood pressure (ABP) is an essential physiological parameter for health monitoring. Most blood pressure measurement devices determine the systolic and diastolic arterial blood pressure through the inflation and the deflation of a cuff. This technique is uncomfortable for the user and may result in anxiety, and consequently affect the blood pressure and its measurement. The purpose of this paper is the continuous measurement of the ABP through a cuffless, non-intrusive approach. The approach of this paper is based on deep learning techniques where several neural networks are used to infer ABP, starting from photoplethysmogram (PPG) and electrocardiogram (ECG) signals. The ABP was predicted first by utilizing only PPG and then by using both PPG and ECG. Convolutional neural networks (ResNet and WaveNet) and recurrent neural networks (LSTM) were compared and analyzed for the regression task. Results show that the use of the ECG has resulted in improved performance for every proposed configuration. The best performing configuration was obtained with a ResNet followed by three LSTM layers: this led to a mean absolute error (MAE) of 4.118 mmHg on and 2.228 mmHg on systolic and diastolic blood pressures, respectively. The results comply with the American National Standards of the Association for the Advancement of Medical Instrumentation. ECG, PPG, and ABP measurements were extracted from the MIMIC database, which contains clinical signal data reflecting real measurements. The results were validated on a custom dataset created at Neuronica Lab, Politecnico di Torino.
Short-term exercise affects cardiac function ex vivo partially via changes in calcium channel levels, without influencing hypoxia sensitivity
Authors: Uurasmaa Tytti-Maria , Streng Tomi , Alkio Milla , Heinonen Ilkka , Anttila Katja 
Published: August 2021

AbstractExercise is known to improve cardiac recovery following coronary occlusion. However, whether short-term exercise can improve cardiac function and hypoxia tolerance ex vivo independent of reperfusion injury and the possible role of calcium channels in improved hypoxia tolerance remains unknown. Therefore, in the current study, heart function was measured ex vivo using the Langendorff method at different oxygen levels after a 4-week voluntary wheel-running regimen in trained and untrained male mice (C57Bl/6NCrl). The levels of cardiac Ca2+-channels: L-type Ca2+-channel (CACNA1C), ryanodine receptor (RyR-2), sarco(endo)plasmic reticulum Ca2+-ATPase (SERCA2), and sodium-calcium exchanger were measured using western blot. Trained mice displayed lower cardiac afterload pressure generation capacity (rate and amplitude), but unaltered hypoxia tolerance when compared to untrained mice with similar heart rates. The level of CACNA1C positively correlated with the pressure generation rate and amplitude. Furthermore, the CACNA1C-RYR-2 ratio also positively correlated with the pressure generation rate. While the 4-week training period was not enough to alter the intrinsic cardiac hypoxia tolerance, interestingly it decreased pressure generation capacity and slowed pressure decreasing capacity in the mouse hearts ex vivo. This reduction in pressure generation rate could be linked to the level of channel proteins in sarcolemmal Ca2+-cycling in trained mice. However, the Ca2+-channel levels did not differ significantly between the groups, and thus, the level of calcium channels cannot fully explain all the functional alterations, despite the detected correlations. Therefore, additional studies are warranted to reveal further mechanisms that contribute to the reduced intrinsic capacity for pressure production in trained mouse hearts.
Application of market–basket analysis on healthcare
Authors: Rao Abishek B. , Kiran Jammula Surya , G Poornalatha 
Published: August 2021

AbstractData analysis plays a vital role in the present era as it helps us to understand the patterns by exploring it in meaningful ways. Market—basket is one of the main methods used to find frequently occurring items in a transactional database and many researchers use the Apriori algorithm for this purpose. This paper presents the application of Market Basket Analysis to the healthcare section. The present work tries to find frequent diseases that occur together in an area by using the Apriori algorithm. This could help the residents of an area to be more cautious about the frequently occurring diseases and take all possible precautionary measures to safeguard their health. In addition, it could also help the doctors so that, they are ready with required medications to treat the patients.
Research progress and prospect of Ordovician carbonate rocks in Tahe oilfield: karst feature
Authors: Xu Xinyu , Chen Qinghua , Zhang Yinguo , Wang Jing , Li Yang , Kang Zhijiang , Wei Hehua , Quan Lianshun , Zhang Yun 
Published: August 2021

AbstractInspired by structural geology, karstology, geomorphology, as well as petroleum geology, coupling excellent documented research works and the field investigation, the status and prospect for the studies on karst feature of Tahe oilfield are discussed comprehensively. Results indicate: (a) the majority of research works have appeared since 2000 and can be classified as three categories and 12 subclasses, in which caves, fracture cave systems and fault-karst reservoirs are considered as the main research topics, (b) existed studies can be divided into four stages, and fault-karst reservoir analysis is a hot spot recently, focusing on the scale of the formed reservoir. It is the common sense that faults control both fractures and caves. Originally, there exist close relationships among karst phenomena whether they're on the ground or underground. Revealing these relationships mentioned above is the important direction for the studies of Tahe oilfield in the future. As for the areas where faults are widely distributed in karst, there exist hierarchical properties in karstology: (1) fault controls topography and landform, (2) fault, topography and landform control the water system and (3) fault, topography, landform and water system control karst. These hierarchical properties are the basic connotation of the laws for karst evolution, and the vital goals of the karst study of Tahe oilfield as well. Applications of methods and techniques and field-karst investigation are the solid guarantees to achieve these goals.
Cycle Length Evaluation in Persistent Atrial Fibrillation Using Kernel Density Estimation to Identify Transient and Stable Rapid Atrial Activity
Authors: Nagy Szabolcs Z. , Kasi Patrick , Afonso Valtino X. , Bird Nathaniel , Pederson Brian , Mann Ian E. , Kim Steven , Linton Nicholas W. F. , Lefroy David C. , Whinnett Zachary I. , Ng Fu Siong , Koa-Wing Michael , Kanagaratnam Prapa , Peters Nicholas S. , Qureshi Norman A. , Lim Phang Boon 
Published: August 2021

Abstract
Purpose
Left atrial (LA) rapid AF activity has been shown to co-localise with areas of successful atrial fibrillation termination by catheter ablation. We describe a technique that identifies rapid and regular activity.

Methods
Eight-second AF electrograms were recorded from LA regions during ablation for psAF. Local activation was annotated manually on bipolar signals and where these were of poor quality, we inspected unipolar signals. Dominant cycle length (DCL) was calculated from annotation pairs representing a single activation interval, using a probability density function (PDF) with kernel density estimation. Cumulative annotation duration compared to total segment length defined electrogram quality. DCL results were compared to dominant frequency (DF) and averaging.

Results
In total 507 8 s AF segments were analysed from 7 patients. Spearman’s correlation coefficient was 0.758 between independent annotators (P < 0.001), 0.837–0.94 between 8 s and ≥ 4 s segments (P < 0.001), 0.541 between DCL and DF (P < 0.001), and 0.79 between DCL and averaging (P < 0.001). Poorer segment organization gave greater errors between DCL and DF.

Conclusion
DCL identifies rapid atrial activity that may represent psAF drivers. This study uses DCL as a tool to evaluate the dynamic, patient specific properties of psAF by identifying rapid and regular activity. If automated, this technique could rapidly identify areas for ablation in psAF.
Philosophical Potencies of Postphenomenology
Authors: Ritter Martin 
Published: August 2021

AbstractAs a distinctive voice in the current philosophy of technology, postphenomenology elucidates various ways of how technologies “shape” both the world (or objectivity) and humans (or subjectivity) in it. Distancing itself from more speculative approaches, postphenomenology advocates the so-called empirical turn in philosophy of technology: It focuses on diverse effects of particular technologies instead of speculating on the essence of technology and its general impact. Critics of postphenomenology argue that by turning to particularities and emphasizing that technologies are always open to different uses and interpretations, postphenomenology becomes unable to realize how profoundly technology determines our being in the world. Seeking to evaluate the postphenomenological (in)ability to radically reflect on the human being conditioned by technology, I discuss the two most pertinent criticisms of postphenomenology: an “existential” one by Robert C. Scharff and an “ontological” one by Jochem Zwier, Vincent Blok, and Pieter Lemmens. Assessing the ontological alternative, I point to incapacity of Heidegger’s concept of Enframing to do justice to material technologies. Simultaneously, I acknowledge the necessity of speculating on (the concept of) technology as transcending concrete technologies. Such speculating would be instrumental in reviving Ihde’s idea of non-neutrality of technology in its full philosophical potency.
Preconception and Diabetes Information (PADI) App for Women with Pregestational Diabetes: a Feasibility and Acceptability Study
Authors: Nwolise Chidiebere H. , Carey Nicola , Shawe Jill 
Published: August 2021

AbstractDiabetes mellitus increases the risk of adverse maternal and fetal outcomes. Preconception care is vital to minimise complications; however, preconception care service provision is hindered by inadequate knowledge, resources and care fragmentation. Mobile health technology, particularly smartphone apps, could improve preconception care and pregnancy outcomes for women with diabetes. The aim of this study is to co-create a preconception and diabetes information app with healthcare professionals and women with diabetes and explore the feasibility, acceptability and preliminary effects of the app. A mixed-methods study design employing questionnaires and semi-structured interviews was used to assess preliminary outcome estimates (preconception care knowledge, attitudes and behaviours), and user acceptability. Data analysis included thematic analysis, descriptive statistics and non-parametric tests. Improvements were recorded in knowledge and attitudes to preconception care and patient activation measure following the 3-month app usage. Participants found the app acceptable (satisfaction rating was 72%), useful and informative. The app’s usability and usefulness facilitated usage while manual data input and competing priorities were barriers which participants felt could be overcome via personalisation, automation and use of daily reminders. This is the first study to explore the acceptability and feasibility of a preconception and diabetes information app for women with diabetes. Triangulated data suggest that the app has potential to improve preconception care knowledge, attitudes and behaviours. However, in order for women with DM to realise the full potential of the app intervention, particularly improved maternal and fetal outcomes, further development and evaluation is required.
The NN’s souls-cult: a case study of catholicism and popular religion in Colombia
Authors: Bastidas Meneses Luis , Kaden Tom , Schnettler Bernt 
Published: August 2021

AbstractThis article analyzes the cult of the souls in Purgatory in Puerto Berrío, Colombia, and its relationship with the Catholic Church. Through empirical evidence, it identifies three characteristics of this cult, namely, its relative independence from the Catholic Church, its heterogeneity and its utilitarian character, and compares them with other cases of Latin American popular Catholicism. The particularities of the cult enable an analysis of how popular religion, rather than generating a conflict with the Catholic Church, maintains an ambiguous relationship with it. The case shows that popular religion not only incorporates the symbolic structure of the Catholic Church to legitimize itself, but also that the church tolerates it, contributing to the peaceful coexistence of the popular and the institutionalized. Consequently, this leads believers, instead of adhering to a supposed binary opposition, to shift between popular and institutionalized religion.
Groups' contribution to shaping ethnic residential segregation: a dynamic approach
Authors: Tapia Eduardo 
Published: August 2021

AbstractSome have argued it is possible to infer different groups’ contributions to ethnic residential segregation from their individual neighborhood preferences. From this perspective, natives tend to be more segregation-promoting than non-natives, since they prefer neighborhoods where they are the majority. It remains unclear, however, whether this holds when one evaluates their contributions to segregation within a dynamic perspective. Using register data from Statistics Sweden, I define and model ten different groups’ residential behavior based on their ethnicity and family composition. I thereby simulate the residential mobility of the full population of Stockholm municipality residents from 1998 to 2012. Even though my results at the micro-level are consistent with previous studies, the simulation results show that foreign singles’ mobility patterns are more segregation-promoting than any other groups, since this group shows a greater in-group feedback effect regarding choice of new neighborhoods, an effect that increases their flow from low-to-high segregated neighborhoods progressively. My results suggest that (1) integration initiatives would be more efficient if focused on this particular group and (2) a proper evaluation of micro-behaviors’ implications for macro-patterns of segregation requires a dynamic approach accounting for groups’ heterogeneous behaviors and their main interdependencies on shaping segregation over time.
Using and Abusing Moorean Arguments
Authors: SCARFONE M. 
Published: August 2021

AbstractMetaethical Mooreanism is the view that without being able to explain how we know certain moral claims we can nevertheless be sure that we do know them. In this article I focus on the Moorean argument against moral error theory. I conclude that it fails. To show this failure, I first distinguish Moorean claims from Moorean arguments, and then so-called presumptive support from dialogical support. With these distinctions in place, I argue that the key Moorean claim requires dialogical support in order to be used within the Moorean argument against moral error theory, but metaethical Mooreans have provided only presumptive support for the Moorean claim. Not only is this presumptive support inadequate for fending off the moral error theory, it is doubtful that Mooreans can actually provide dialogical support for the key Moorean claim.