bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding Selfhood to Elucidate the Phenomenology of Mindfulness
Authors: Higgins Joe 
Published: February 2022

AbstractThe health benefits of practising mindfulness are well documented, yet the phenomenological mechanisms of such practice remain under-theorised from both ontogenetic and social perspectives. By leveraging an enactive perspective on selfhood, these lacunae can be addressed: firstly, it is argued that proper understanding of mindfulness – and the health benefits that mindfulness practices seek – relies on recognising thesocio-embodiednature of the self; consequently, occasions in which the therapeutic need for mindfulness are most pressing will be shown to be inextricably tied to socio-embodied fluctuations across different stages of life. What emerges is a phenomenological understanding of mindfulness as allowing one to dwell in the sensuous density of the present and, through this, remain connected to the social world of open possibilities.
“We constantly have to navigate”: Indigenous students’ and professionals’ strategies for navigating ethical conflicts in STEMM
Authors: Castagno Angelina E. , Ingram Jani C. , Camplain Ricky , Blackhorse Davona 
Published: February 2022

AbstractThis paper reports on a research project that explored ethical, cultural, and/or spiritual conflicts and the various strategies used to navigate the conflicts among over 400 Indigenous students and professionals in science, technology, engineering, mathematics, and medicine [Our initial project was conceptualized as including STEM fields (not including the final M for medicine/health-related fields). However, our work included survey respondents and interviewees in medicine/health-related fields, so our subsequent analysis and discussion uses the more inclusive acronym of STEMM.] (STEMM) fields. These navigational strategies include teaching others and leveraging their support, engaging in ceremonial practices to provide protection and correction when needed, being in the right mindset and/or acting in the right ways, and—for some—changing pathways altogether. By centering Indigenous students' and professionals’ voices and experiences, we learn how intentional, complex, and thoughtful their strategies must be.
Quantitative Comparison of HSF1 Activators
Authors: Steurer Christoph , Kerschbaum Sarah , Wegrostek Christina , Gabriel Stefan , Hallaj Ali , Ortner Viktoria , Czerny Thomas , Riegel Elisabeth 
Published: February 2022

AbstractThe heat shock response (HSR) pathway is a highly conserved rescue mechanism, which protects the cells from harmful insults disturbing the cellular protein homeostasis via expression of chaperones. Furthermore, it was demonstrated to play crucial roles in various diseases like neurodegeneration and cancer. For neurodegenerative diseases, an overexpression of chaperones is a potential therapeutic approach to clear the cells from non-functional protein aggregates. Therefore, activators of the HSR pathway and its master regulator HSF1 are under close observation. There are numerous HSR activators published in the literature using different model systems, experimental designs, and readout assays. The aim of this work was to provide a quantitative comparison of a broad range of published activators using a newly developed HSF responsive dual-luciferase cell line. Contrary to natural target genes, which are regulated by multiple input pathways, the artificial reporter exclusively reacts to HSF activity. In addition, the results were compared to endogenous heat shock protein expression. As a result, great differences in the intensity of pathway activation were observed. In addition, a parallel viability assessment revealed high variability in the specificity of the drugs. Furthermore, the differences seen compared to published data indicate that some activators exhibit tissue-specific differences leading to interesting assumptions about the regulation of HSF1.
The periodic table of the elements: the search for transactinides and beyond
Authors: Terranova Maria Letizia , Tavares Odilon A. P. 
Published: February 2022

AbstractThe periodic table of Mendeleev, initially proposed on the basis of 66 elements, and containing 82 elements at the time of Moseley (1887–1915), describes nowadays 118 elements. The huge challenge of this scientific adventure was, and still is, the development of technologies and methods capable of producing elements of atomic numberZ > 103, known as superheavy elements (SHE), or transactinides. This paper presents a survey of experiments and theoretical approaches that led physicists and chemists of today to discover and characterize a number of SHE isotopes. A glance is also given to the feasibility studies performed by scientists aiming to going beyondZ = 118, building up further neutron-rich nuclides and reaching the ultimate goal of creating long-living new elements at the edge of the Periodic Table.
On the Catlin Multitype of Sums of Squares Domains
Authors: Aidoo Nicholas 
Published: February 2022

AbstractFor a sum of squares domain of finite D’Angelo 1-type at the origin, we show that the polynomial model obtained from the computation of the Catlin multitype at the origin of such a domain is likewise a sum of squares domain. We also prove, under the same finite type assumption that the multitype is an invariant of the ideal of holomorphic functions defining the domain. Both results are proven using Martin Kolář’s algorithm for the computation of the multitype introduced in Kolář (Int Math Res Not (IMRN) 18:3530–3548, 2010). Given a sum of squares domain, we rewrite the Kolář algorithm in terms of ideals of holomorphic functions and also introduce an approach that explicitly constructs the homogeneous polynomial transformations used in the algorithm.
Analysis of seed-associated bacteria and fungi on staple crops using the cultivation and metagenomic approaches
Authors: Tkalec Valerija , Mahnic Aleksander , Gselman Peter , Rupnik Maja 
Published: February 2022

AbstractOne of the key factors affecting seed quality is microbial communities residing on and in the seeds. In this study, microbial populations of seeds of conventionally and organically produced wheat, barley, and maize were analyzed using two different approaches: the cultivation method and metagenomics. For cultivation, three basic media were used: DG18 (for fungi), and nutrient agar or tryptic soy agar supplemented with cycloheximide or nystatin (for bacteria). Metagenomic sequencing was performed using the Illumina MiSeq platform. A total of 452 bacterial isolates comprising 36 genera and 5 phyla and 90 fungal isolates comprising 10 genera and 3 phyla were obtained from the seed surfaces. Among bacteria, representatives from the genera Bacillus, Pantoea, Paenibacillus, and Curtobacterium predominated, and among fungi, Aspergillus predominated. A total of 142 fungal OTUs and 201 bacterial OTUs were obtained from all the samples. Proteobacteria, Firmicutes, Bacteroides, and Actinobacteria comprised most of the bacterial OTUs, and Ascomycota comprised most of the fungal OTUs. Only 3 fungal OTUs (representatives of Curvibasidium, Venturia, and Dermateaceae) were exclusively present only within seeds and not on the seed surfaces. Barley seeds had the highest microbial load and richness, whereas corn had the lowest. Wheat and barley shared a higher number of OTUs than either of them did with corn with higher overlap between conventionally grown cereals than between organically grown cereals. Some OTUs were farming specific. This study demonstrates that the microbiome of cereal seeds is greatly dependent on the species of the host and is less affected by agricultural practices.
Physical Activity, Quality of Life, and Nursing Workload in Colorectal Surgery
Authors: Martin David , Guarnero Valentine , St-Amour Pénélope , Addor Valérie , Romain Benoît , Demartines Nicolas , Hübner Martin 
Published: February 2022

AbstractPostoperative recovery depends on a complex interplay of patient-related factors of which mobility is an essential part. The aim of this study is to evaluate correlations between perioperative physical activity, quality of life, and postoperative nursing workload in colorectal surgery. A prospective study was used to assess footsteps, quality of life, and nursing workload. Number of footsteps was recorded from preoperative day 5 to postoperative day 3. Patients with reduced and good mobilization were compared, and the cut-off defined by the median daily preoperative footsteps. Quality of life was assessed by the Cleveland Global Quality of Life (CGQL). Nursing workload was calculated using the Project Research in Nursing (PRN) score. Statistical correlation was measured by use of the Pearson coefficient. Fifty patients were included. Mean age was 59 years, mean body mass index was 25 kg/m2, and 68% of them were males. Demographics, surgical details, and clinical outcomes were comparable between the group of patients with poor mobilization compared to those with good mobilization. No correlation was found between pre- or post-operative footsteps and CGQL (r =  − 0.072, p = 0.640 and r =  − 0.127, p = 0.407), as well as between the number of pre- or post-operative footsteps and PRN (r = 0.060, p = 0.687 and r =  − 0.095, p = 0531). In conclusion, no correlation was found between the number of perioperative footsteps, quality of life, and nursing workload after colorectal surgery.
Intelligent prediction of coal mine water inrush based on optimized SAPSO-ELM model under the influence of multiple factors
Authors: Zhang Yong-gang , Xie Yuan-lun , Yang Li-ning , Liao Rao-ping , Qiu Tao 
Published: February 2022

AbstractMine water inrush is affected by many factors such as geological structure and fracture zone. However, there may be overlap among these factors, leading to uncertainty, fuzzy similarity and nonlinear relationship among most of them. Therefore, the traditional mathematical model is not ideal to predict water inrush. This paper proposes an intelligent model for predicting water inrush from coal floor based on simulated annealing particle swarm optimization-extreme learning machine (SAPSO-ELM). Based on 144 groups of learning data and 36 groups of predictive validation data, the proposed model extracted common factors from 14 geological factors that might be related to water inrush in a mining area, so as to reduce information interaction among discriminant indexes. In this paper, simulated annealing particle swarm optimization (SAPSO) is innovatively used to optimize the model parameters and compared with other intelligent models (SVM, BPNN, PSO-ELM and ELM) for the learning prediction of the same data. The results show that the common factors extracted from the original variables contain most of the comprehensive information and can reduce information redundancy. Compared with traditional intelligent models (SVM, BPNN, PSO-ELM and ELM), the proposed model improves the computational efficiency of convergence, and the prediction accuracy is higher. It is proved that SAPSO-ELM intelligent algorithm is indeed scientific and has broad application prospect in result prediction induced by complex multi-factors.
Is HPS a valuable component of a STEM education? An empirical study of student interest in HPS courses within an undergraduate science curriculum
Authors: Lusk Greg 
Published: February 2022

AbstractThis paper presents the results of a survey of students majoring in STEM fields whose education contained a significant history, philosophy and sociology (HPS) of science component. The survey was administered to students in a North American public 4-year university just prior to completing their HPS sequence. The survey assessed students’ attitudes towards HPS to gauge how those attitudes changed over the course of their college careers, and to identify the benefits and obstacles to studying HPS as a component of their STEM education. The survey reveals that students generally found unexpected value in taking HPS within their STEM curriculum. It also reveals that framing HPS courses as a means of gaining communication skills necessary to be an influential scientist seems to resonate with students. However, students also identified several factors limiting engagement with HPS content, including the length and density of required readings and assessment via essays and papers.
Nutrient-depended metabolic switching during batch cultivation of Streptomyces coelicolor explored with absolute quantitative mass spectrometry-based metabolite profiling
Authors: Kumar Kanhaiya , Bruheim Per 
Published: February 2022

AbstractThe well-known secondary metabolite-producing bacterium Streptomyces coelicolor is a natural choice for the development of super-hosts optimized for the heterologous expression of antibiotic biosynthetic gene clusters (BGCs). In this study, we used S. coelicolor M145 and its derivative strain M1146 where all active BGCs have been deleted and generated high-resolution quantitative time series metabolite profiles under two cultivation conditions (phosphate and nitrogen limitation to cease growth and trigger secondary metabolism). Five targeted LC–MS/MS-based methods were used to quantify intracellular primary metabolites covering phosphorylated metabolites, amino acids, organic acids, (deoxy) nucleoside/sugar phosphates, Nicotinamide adenine dinucleotide (NAD), and Coenzyme A (CoA). The nitrogen limitation resulted in a sharp decline in respiration and an immediate drop in the cell mass concentration. Intracellularly, a reduction in the level of the metabolites next to α-ketoglutarate in the tricarboxylic acid cycle and a decrease in the NADH pool were among the most prominent adaptation to this nutrient limitation. Phosphate limitation evoked a different adaptation of the metabolite pools as most of the phosphorylated metabolite pools except 6-phosphogluconic acid (6PG) pool were downregulated. 13C-isotope-labeling experiments revealed the simultaneous activity of both glycolysis and gluconeogenesis during the co-utilization of glucose and glutamate. The S. coelicolor M1146 strain had similar time-series metabolite profile dynamics as the parent M145 strain, except for a visibly increased 6PG pool in the stationary phase. In general, the nutrient limitation had a larger effect on the metabolite pool levels than the absence of secondary metabolite production in M1146. This study provides new insight into the primary carbon metabolism and its link to the secondary metabolism which is needed for further optimization of both super-host genotype and cultivation conditions.
Genome-wide CRISPR screen identifies synthetic lethality between DOCK1 inhibition and metformin in liver cancer
Authors: Feng Junru , Lu Hui , Ma Wenhao , Tian Wenjing , Lu Zhuan , Yang Hongying , Cai Yongping , Cai Pengfei , Sun Yuchen , Zhou Zilong , Feng Jiaqian , Deng Jiazhong , Shu Ying , Qu Kun , Jia Weidong , Gao Ping , Zhang Huafeng 
Published: February 2022

AbstractMetformin is currently a strong candidate anti-tumor agent in multiple cancers. However, its anti-tumor effectiveness varies among different cancers or subpopulations, potentially due to tumor heterogeneity. It thus remains unclear which hepatocellular carcinoma (HCC) patient subpopulation(s) can benefit from metformin treatment. Here, through a genome-wide CRISPR-Cas9-based knockout screen, we find that DOCK1 levels determine the anti-tumor effects of metformin and that DOCK1 is a synthetic lethal target of metformin in HCC. Mechanistically, metformin promotes DOCK1 phosphorylation, which activates RAC1 to facilitate cell survival, leading to metformin resistance. The DOCK1-selective inhibitor, TBOPP, potentiates anti-tumor activity by metformin in vitro in liver cancer cell lines and patient-derived HCC organoids, and in vivo in xenografted liver cancer cells and immunocompetent mouse liver cancer models. Notably, metformin improves overall survival of HCC patients with low DOCK1 levels but not among patients with high DOCK1 expression. This study shows that metformin effectiveness depends on DOCK1 levels and that combining metformin with DOCK1 inhibition may provide a promising personalized therapeutic strategy for metformin-resistant HCC patients.
Commentary: “Whiteness and Colourblindness”
Authors: Bayer Gerd 
Published: February 2022

AbstractThis commentary argues that, in discussing the racial and cultural identities of cinematic representations of humanoid AI robots, nuances and differentiations are beneficial. It suggests that the essay on which the present text comments does not sufficiently acknowledge the range of identities found in AI films, in particular in Alex Garland's Ex Machina (2014).
A relation calculus for reasoning about t-probing security
Authors: Molteni Maria Chiara , Zaccaria Vittorio 
Published: February 2022

AbstractIn the context of side-channel attacks against cryptographic circuits, t-probing security characterizes the amount of information derivable about sensitive values (e.g., keys) by observing t output/internal values. Non-interference is a useful mathematical tool used by researchers to assess the probing security of a circuit which employs Boolean masking to protect itself from attacks. However, reasoning about non-interference still requires either difficult ratiocination or complex automatic tools. In this work, we propose a novel point of view to reason about non-interference, by exploiting the Walsh transform of a Boolean function. To this end, we introduce a calculus for mechanically reasoning about the shares of a variable and show that this formalism provides a lean algebraic explanation of known compositional patterns allowing for the discovery of new ones. Eventually, we show how this formalism can be applied to study the probing security of known cryptographic gadgets.
Hemophagocytic lymphohistiocytosis after SARS-CoV-2 vaccination
Authors: Hieber Marie-Lisa , Sprute Rosanne , Eichenauer Dennis A. , Hallek Michael , Jachimowicz Ron D. 
Published: February 2022

Abstract
Purpose
The coronavirus disease 2019 (COVID-19) pandemic has led to the approval of novel vaccines with different mechanisms of action. Until now, more than 4.7 billion persons have been vaccinated around the world, and adverse effects not observed in pre-authorization trials are being reported at low frequency.

Methods
We report a case of severe hemophagocytic lymphohistiocytosis (HLH) after SARS-CoV-2 immunization and performed a literature search for all reported cases of COVID-19 vaccine-associated HLH.

Results
A 24-year-old female developed HLH after immunization with the mRNA COVID-19 vaccine Comirnaty. Diagnosis was made according to HLH-2004 criteria; the HScore was 259 (> 99% HLH probability) with maximum ferritin of 138.244 µg/L. The patient was initially treated with intravenous immunoglobulins (IVIGs) and dexamethasone without response. The addition of the human interleukin 1 receptor antagonist Anakinra resulted in full recovery within 6 weeks after vaccination.
A literature search revealed 15 additional cases of HLH after SARS-CoV-2 vaccination, the majority after immunization with Comirnaty (n = 7) or the viral vector vaccine Vaxzevria (n = 6). Treatment modalities included corticosteroids (n = 13), Anakinra (n = 5), IVIGs (n = 5), and etoposide (n = 2). Eight patients underwent combination treatment. Three of 16 patients died.

Conclusion
COVID-19 vaccines may occasionally trigger HLH, and Anakinra may be an efficacious treatment option for this condition.
Evaluating feature combination strategies for hate-speech detection in Spanish using linguistic features and transformers
Authors: García-Díaz José Antonio , Jiménez-Zafra Salud María , García-Cumbreras Miguel Angel , Valencia-García Rafael 
Published: February 2022

AbstractThe rise of social networks has allowed misogynistic, xenophobic, and homophobic people to spread their hate-speech to intimidate individuals or groups because of their gender, ethnicity or sexual orientation. The consequences of hate-speech are devastating, causing severe depression and even leading people to commit suicide. Hate-speech identification is challenging as the large amount of daily publications makes it impossible to review every comment by hand. Moreover, hate-speech is also spread by hoaxes that requires language and context understanding. With the aim of reducing the number of comments that should be reviewed by experts, or even for the development of autonomous systems, the automatic identification of hate-speech has gained academic relevance. However, the reliability of automatic approaches is still limited specifically in languages other than English, in which some of the state-of-the-art techniques have not been analyzed in detail. In this work, we examine which features are most effective in identifying hate-speech in Spanish and how these features can be combined to develop more accurate systems. In addition, we characterize the language present in each type of hate-speech by means of explainable linguistic features and compare our results with state-of-the-art approaches. Our research indicates that combining linguistic features and transformers by means of knowledge integration outperforms current solutions regarding hate-speech identification in Spanish.
State of the Art and Prospects in Metal-Organic Framework-Derived Microwave Absorption Materials
Authors: Ren Shuning , Yu Haojie , Wang Li , Huang Zhikun , Lin Tengfei , Huang Yudi , Yang Jian , Hong Yichuan , Liu Jinyi 
Published: February 2022

AbstractMicrowave has been widely used in many fields, including communication, medical treatment and military industry; however, the corresponding generated radiations have been novel hazardous sources of pollution threating human’s daily life. Therefore, designing high-performance microwave absorption materials (MAMs) has become an indispensable requirement. Recently, metal–organic frameworks (MOFs) have been considered as one of the most ideal precursor candidates of MAMs because of their tunable structure, high porosity and large specific surface area. Usually, MOF-derived MAMs exhibit excellent electrical conductivity, good magnetism and sufficient defects and interfaces, providing obvious merits in both impedance matching and microwave loss. In this review, the recent research progresses on MOF-derived MAMs were profoundly reviewed, including the categories of MOFs and MOF composites precursors, design principles, preparation methods and the relationship between mechanisms of microwave absorption and microstructures of MAMs. Finally, the current challenges and prospects for future opportunities of MOF-derived MAMs are also discussed."Image missing"