bluuebunny/crossref_metadata_2025 huggingface dataset:
Autoinflammatory diseases and the kidney
Authors: Hegazy Mohamed Tharwat , Fayed Ahmed , Nuzzolese Rossana , Sota Jurgen , Ragab Gaafar
Published: March 2023

The kidney represents an important target of systemic inflammation. Its involvement in monogenic and multifactorial autoinflammatory diseases (AIDs) vary from peculiar and relatively frequent manifestations to some rare but severe features that may end up requiring transplantation. The pathogenetic background is also very heterogeneous ranging from amyloidosis to non-amyloid related damage rooted in inflammasome activation. Kidney involvement in monogenic and polygenic AIDs may present as renal amyloidosis, IgA nephropathy, and more rarely as various forms of glomerulonephritis (GN), namely segmental glomerulosclerosis, collapsing glomerulopathy, fibrillar, or membranoproliferative GN. Vascular disorders such as thrombosis or renal aneurysms and pseudoaneurysms may be encountered in patients with Behcet’s disease. Patients with AIDs should be routinely assessed for renal involvement. Screening with urinalysis, serum creatinine, 24-h urinary protein, microhematuria, and imaging studies should be carried out for early diagnosis. Awareness of drug-induced nephrotoxicity, drug-drug interactions as well as addressing the issue of proper renal adjustment of drug doses deserve a special mention and should always be considered when dealing with patients affected by AIDs. Finally, we will explore the role of IL-1 inhibitors in AIDs patients with renal involvement. Targeting IL-1 may indeed have the potential to successfully manage kidney disease and improve long-term prognosis of AIDs patients.
The Fragile X Protein Family in Amyotrophic Lateral Sclerosis
Authors: Mueller Sarah , Decker Lorena , Menge Sonja , Ludolph Albert C. , Freischmidt Axel
Published: March 2023

The fragile X protein (FXP) family comprises the multifunctional RNA-binding proteins FMR1, FXR1, and FXR2 that play an important role in RNA metabolism and regulation of translation, but also in DNA damage and cellular stress responses, mitochondrial organization, and more. FMR1 is well known for its implication in neurodevelopmental diseases. Recent evidence suggests substantial contribution of this protein family to amyotrophic lateral sclerosis (ALS) pathogenesis. ALS is a highly heterogeneous neurodegenerative disease with multiple genetic and unclear environmental causes and very limited treatment options. The loss of motoneurons in ALS is still poorly understood, especially because pathogenic mechanisms are often restricted to patients with mutations in specific causative genes. Identification of converging disease mechanisms evident in most patients and suitable for therapeutic intervention is therefore of high importance. Recently, deregulation of the FXPs has been linked to pathogenic processes in different types of ALS. Strikingly, in many cases, available data points towards loss of expression and/or function of the FXPs early in the disease, or even at the presymptomatic state. In this review, we briefly introduce the FXPs and summarize available data about these proteins in ALS. This includes their relation to TDP-43, FUS, and ALS-related miRNAs, as well as their possible contribution to pathogenic protein aggregation and defective RNA editing. Furthermore, open questions that need to be addressed before definitively judging suitability of these proteins as novel therapeutic targets are discussed.
Improved prehospital triage for acute cardiac care: results from HART-c, a multicentre prospective study
Authors: de Koning Enrico R. , Beeres Saskia L. M. A. , Bosch Jan , Backus Barbra E. , Tietge Wouter J. , Alizadeh Dehnavi Reza , Groenwold Rolf H. H. , Silvius Allena M. , van Lierop Pepijn T. S. , Jukema J. Wouter , Schalij Martin J. , Boogers Mark J.
Published: March 2023

Background

Cardiac symptoms are one of the most prevalent reasons for emergency department visits. However, over 80% of patients with such symptoms are sent home after acute cardiovascular disease has been ruled out.

Objective

The Hollands-Midden Acute Regional Triage—cardiology (HART-c) study aimed to investigate whether a novel prehospital triage method, combining prehospital and hospital data with expert consultation, could increase the number of patients who could safely stay at home after emergency medical service (EMS) consultation.

Methods

The triage method combined prehospital EMS data, such as electrocardiographic and vital parameters in real time, and data from regional hospitals (including previous medical records and admission capacity) with expert consultation. During the 6‑month intervention and control periods 1536 and 1376 patients, respectively, were consulted by the EMS. The primary endpoint was the percentage change of patients who could stay at home after EMS consultation.

Results

The novel triage method led to a significant increase in patients who could safely stay at home, 11.8% in the intervention group versus 5.9% in the control group: odds ratio 2.31 (95% confidence interval (CI) 1.74–3.05). Of 181 patients staying at home, only 1 (< 1%) was later diagnosed with ACS; no patients died. Furthermore the number of interhospital transfers decreased: relative risk 0.81 (95% CI 0.67–0.97).

Conclusion

The HART‑c triage method led to a significant decrease in interhospital transfers and an increase in patients with cardiac symptoms who could safely stay at home. The presented method thereby reduced overcrowding and, if implemented throughout the country and for other medical specialties, could potentially reduce the number of cardiac and non-cardiac hospital visits even further.
The information-theoretic view of quantum mechanics and the measurement problem(s)
Authors: Laudisa Federico
Published: March 2023

Until recently Jeffrey Bub and Itamar Pitowsky, in the framework of an information-theoretic view of quantum mechanics, claimed first that to the measurement problem in its ordinary formulation there correspond in effect two measurement problems (simply called the big and the small measurement problems), with a different degree of relevance and, second, that the analysis of a quantum measurement is a problem only if other assumptions – taken by Pitowsky and Bub to be unnecessary ‘dogmas’ – are assumed. Here I critically discuss this unconventional stance on the measurement problem and argue that the Bub-Pitowsky arguments are inconclusive, mainly because they rely on an unwarranted extension to the quantum realm of a distinction concerning the foundations of special relativity which is in itself rather controversial.
Bias Mitigation for Capturing Potentially Illegal Hate Speech
Authors: Schäfer Johannes
Published: March 2023

Hate speech is a persistent issue in social media. Researchers have analyzed and developed detection methods for hate speech on the basis of example data, even though the phenomenon is only rather vaguely defined. This paper provides an approach to identify hate speech in terms of German laws, which are used as a basis for annotation guidelines applied to real world data. We annotate six labels in a corpus of 1,385 German short text messages: four subcategories of illegal hate speech, offensive language and a neutral class. We consider hate speech expressions as illegal if the linguistic content could be interpreted in a given context possibly violating a specific law. This interpretation and a check by lawyers would be the next step which is not yet included in our annotation. In this paper, I report on strategies to avoid certain biases in data for illegal hate speech. These strategies may serve as a model for building a larger dataset. In experiments, I investigate the capability of a Transformer-based neural network model to learn our classification. The results show that this multiclass classification is still difficult to learn, probably due to the small size of the dataset. I suggest that it is crucial to be aware of data biases and to apply bias mitigation techniques when training hate speech detection systems on such data. Data and scripts of the experiments are made publicly available.
Evolution, Investment, and Bargaining
Authors: Robles Jack
Published: March 2023

We present an evolutionary model which allows us to study the impact relationship-specific investment has on bargaining. Agents are matched to play an investment and bargaining game. During bargaining, agents have an outside option to form a new relationship, but in exercising this option loses their current investment. We find that the stochastically stable post-investment bargaining convention is dependent on the cost of investment. In particular, the larger the cost of investment, the lower is the share of gross surplus that is received. This stands in contrast with previous studies. In addition, we find that there is under-investment. We disentangle the forces which lead to these two results.
Strategies to improve swine manure hydrochar: HCl-assisted hydrothermal carbonization versus hydrochar washing
Authors: Ipiales Ricardo Paul , Sarrion Andres , Diaz Elena , Diaz-Portuondo Emiliano , Mohedano Angel F. , de la Rubia Angeles
Published: March 2023

The work focuses on the study of hydrochar upgrading from hydrothermal carbonization (HTC) of swine manure by HCl-assisted HTC or washing with HCl or acetone, as a post-treatment to conventional HTC. Conventional HTC of swine manure yields a low-quality hydrochar (C content ~ 38 wt.%, higher heating value (HHV) ~ 15 MJ kg−1, and ash content up to 32 wt.%). HCl-assisted HTC (0.5 M HCl at 230 ℃) substantially reduced the ash content up to ~10 wt.% in the hydrochar and increased the C content to 58 wt.%, reaching a HHV of 23 MJ kg−1. However, the N and S contents remained at values similar to those of the swine manure. Washing post-treatment of conventional hydrochars with HCl or acetone significantly improved the C content and the HHV in the range 47–58 wt.% and 19–25 MJ kg−1, respectively, as well as the ash removal with values 7-11 wt.%. Washing the hydrochar with acetone significantly reduced the N and S contents, obtaining a carbonaceous material with properties suitable for solid biofuel according to ISO/TS 17225–8, (N < 3 wt.%; S < 0.15 wt.%; HHV > 17 MJ kg−1; and ash < 10 wt.%). Hydrochars obtained by HCl-assisted HTC and HCl/acetone washing post-treatment yielded higher thermal stability, as well as better reactivity and low ash agglomeration indexes than compared to conventional hydrochars. Washing post-treatment with acetone proved to be the best strategy to obtain improved hydrochars from swine manure for industrial use as a solid biofuel.
Connecting Sunken Actors: Social Network Analysis in Maritime Archaeology
Authors: Aragon Enrique
Published: March 2023

The concept of a “social network” has become a popular term thanks to online tools such as Facebook or Twitter, allowing us to connect with everyone. Specific to archaeology, social network analysis (SNA) is well established as a method, but its theoretical application in maritime archaeology is an incipient initiative. This paper presents the use of SNA in maritime archaeology as a potential instrument to reinterpret underwater sites by integrating spatial and nonspatial patterns of cultural contact. The method implies an abstraction of an historical phenomenon in concepts of network analysis to be represented as network data. Using early Australian shipwrecks as examples, this paper shows how the application of SNA in maritime archaeological contexts can help to analyze and visualize flow of material goods, power, influence, and social control. As a result, it can be argued that exploring the structural position of actors in a network can reveal information about developing relationships in maritime contexts during the past.
Digitalisierung christlicher Verkündigungsformate während der Covid19-Pandemie: Empirische Befunde und theoretische Systematisierungen aus religionswissenschaftlicher Perspektive
Authors: Neumaier Anna
Published: March 2023

Mit den Kontaktbeschränkungen zu Beginn der Covid19-Pandemie mussten auch religiöse Institutionen geradezu über Nacht ihre bisherigen Angebote neu denken. Gerade für Gottesdienste sind dabei häufig digitale Alternativen entwickelt worden. Der Aufsatz beleuchtet dieses emergierende Feld der Digitalisierung christlicher Verkündigungsformate und die Anschlussstellen zu bestehender religionswissenschaftlicher Forschung zu Religion und digitalen Medien. Dafür wird zunächst ein empirisch orientierter Überblick über die Digitalisierungsbemühungen der christlichen Kirchen im deutschsprachigen Raum unter Corona-Bedingungen gegeben, insbesondere unter Rückgriff auf die bisher vorliegenden statistischen Erhebungen. Auf der Grundlage qualitativer Interviews wird dann der Blick auf die Rezipient*innenperspektive auf digitale Gottesdienste gerichtet. Diese empirischen Befunde werden schließlich in Verbindung gesetzt zu bestehenden systematischen Querschnittsthemen der Forschung zu Religion und Medien, insbesondere zu den Konsequenzen digitalisierter religiöser Kommunikation für Formen religiöser Vergemeinschaftung, Raum und Ritual sowie die Selbstermächtigung religiöser Lai*innen und den Wandel religiöser Autorität. Der Aufsatz will damit auf empirischer Grundlage eine Einordnung der gegenwärtigen, Corona-induzierten Entwicklungen in den bestehenden Forschungsstand anbieten und Anschlussüberlegungen aufzeigen.
The Language of Fake News
Authors: Grieve Jack , Woodfield Helena
Published: March 2023

In this Element, the authors introduce and apply a framework for the linguistic analysis of fake news. They define fake news as news that is meant to deceive as opposed to inform and argue that there should be systematic differences between real and fake news that reflect this basic difference in communicative purpose. The authors consider one famous case of fake news involving Jayson Blair of The New York Times, which provides them with the opportunity to conduct a controlled study of the effect of deception on the language of a single reporter following this framework. Through a detailed grammatical analysis of a corpus of Blair's real and fake articles, this Element demonstrates that there are clear differences in his writing style, with his real news exhibiting greater information density and conviction than his fake news. This title is also available as Open Access on Cambridge Core.
Chinese GI Schizophrenia: Impacts of EU-US GI Contestations
Authors: Cheng Wenting
Published: March 2023

Geographical Indications (GIs) have been a ‘must-have’ element for EU FTAs in the last decade. Contemporaneously, the USA has contested these EU GI provisions in its own FTAs often with the same countries. The impacts of the EU-US contestation on GIs on a third country are not sufficiently understood. China has been a long-standing example of the EU-US GI contestation. This article examines how the competing demands of EU-US GI contestation have contributed to the ‘Chinese GI Schizophrenia’, which features triplicate GI protection mechanisms coexisting simultaneously and independently. It discusses how the symptom has developed when China was navigating GI regulations bilaterally and multilaterally in the last four decades, how China has made efforts to manage this schizophrenia through institutional integration, and how recent agreements with the EU and the USA respectively further worsened the situation. Using the case of Chinese GI Schizophrenia, this article warns of similar consequences for any country signing bilateral GI agreements with both the EU and the USA: a compliance dilemma that can ultimately cast doubts on the legitimacy of GI rules and create rule complexity that can bring enormous uncertainty to agri-food producers and exporters.
The problem of varying annotations to identify abusive language in social media content
Authors: Seemann Nina , Lee Yeong Su , Höllig Julian , Geierhos Michaela
Published: March 2023

With the increase of user-generated content on social media, the detection of abusive language has become crucial and is therefore reflected in several shared tasks that have been performed in recent years. The development of automatic detection systems is desirable, and the classification of abusive social media content can be solved with the help of machine learning. The basis for successful development of machine learning models is the availability of consistently labeled training data. But a diversity of terms and definitions of abusive language is a crucial barrier. In this work, we analyze a total of nine datasets—five English and four German datasets—designed for detecting abusive online content. We provide a detailed description of the datasets, that is, for which tasks the dataset was created, how the data were collected, and its annotation guidelines. Our analysis shows that there is no standard definition of abusive language, which often leads to inconsistent annotations. As a consequence, it is difficult to draw cross-domain conclusions, share datasets, or use models for other abusive social media language tasks. Furthermore, our manual inspection of a random sample of each dataset revealed controversial examples. We highlight challenges in data annotation by discussing those examples, and present common problems in the annotation process, such as contradictory annotations and missing context information. Finally, to complement our theoretical work, we conduct generalization experiments on three German datasets.
Do 20-minute neighbourhoods moderate associations between work and commute hours with food consumption?
Authors: Oostenbach Laura Helena , Lamb Karen Elaine , Crawford David , Timperio Anna , Thornton Lukar Ezra
Published: March 2023

Objective:

To examine associations between work and commute hours with food consumption and test whether neighbourhood type (20-minute neighbourhood (20MN)/non-20MN) moderate associations.

Design:

Cross-sectional analysis of the Places and Locations for Activity and Nutrition study (ProjectPLAN). Exposures were work hours (not working (0 h), working up to full-time (1–38 h/week), working overtime (> 38 h/week)), and among those employed, combined weekly work and commute hours (continuous). Outcomes were usual consumption of fruit, vegetables, takeaway food, snacks and soft drinks, and number of discretionary food types (takeaway, snacks and soft drinks) consumed weekly. Generalised linear models were fitted to examine associations between each exposure and outcome. The moderating role of neighbourhood type was examined through interaction terms between each exposure and neighbourhood type (20MN/non-20MN).

Setting:

Melbourne and Adelaide, Australia, 2018–2019.

Participants:

Adults ≥ 18 years old (n 769).

Results:

Although all confidence intervals contained the null, overall, patterns suggested non-workers and overtime workers have less healthy food behaviours than up-to-full-time workers. Among those employed, analysis of continuous work and commute hours data suggested longer work and commute hours were positively associated with takeaway consumption (OR = 1·014, 95 % CI 0·999, 1·030, P-value = 0·066). Patterns of better behaviours were observed across most outcomes for those in 20MN than non-20MN. However, differences in associations between work and commute hours with food consumption across neighbourhood type were negligible.

Conclusions:

Longer work and commute hours may induce poorer food behaviours. There was weak evidence to suggest 20MN moderate associations between work and commute hours with food consumption, although behaviours appeared healthier for those in 20MN.
On Bayesian credibility mean for finite mixture distributions
Authors: Jahanbani Ehsan , Payandeh Najafabadi Amir T. , Masoumifard Khaled
Published: March 2023

Consider the problem of determining the Bayesian credibility mean$E(X_{n+1}|X_1,\cdots, X_n),$whenever the random claims$X_1,\cdots, X_n,$given parameter vector$\boldsymbol{\Psi},$are sampled from the K-component mixture family of distributions, whose members are the union of different families of distributions. This article begins by deriving a recursive formula for such a Bayesian credibility mean. Moreover, under the assumption that using additional information$Z_{i,1},\cdots,Z_{i,m},$one may probabilistically determine a random claim$X_i$belongs to a given population (or a distribution), the above recursive formula simplifies to an exact Bayesian credibility mean whenever all components of the mixture distribution belong to the exponential families of distributions. For a situation where a 2-component mixture family of distributions is an appropriate choice for data modelling, using the logistic regression model, it shows that: how one may employ such additional information to derive the Bayesian credibility model, say Logistic Regression Credibility model, for a finite mixture of distributions. A comparison between the Logistic Regression Credibility (LRC) model and its competitor, the Regression Tree Credibility (RTC) model, has been given. More precisely, it shows that under the squared error loss function, it shows the LRC’s risk function dominates the RTC’s risk function at least in an interval which about$0.5.$Several examples have been given to illustrate the practical application of our findings.
Learning From Within
Authors: Suchodoletz Antje von , McNaboe Tessa J.
Published: March 2023

Abstract: Most developmental science occurs within a so-called WEIRD narrative: Western, Educated, Industrialized, Rich, Democratic. Although developmental psychology has long relied on cross-cultural research to enrich and inform theories of human development, the narrow focus on children from WEIRD countries creates a biased understanding of how children develop. It is critical to diversify developmental science and ensure it reflects and responds to local contexts and cultures. In this article, we discuss how community-based participatory research (CBPR) can be integrated into theoretical frameworks of human development and used to increase the representation of traditionally marginalized populations in developmental science. We argue that a CBPR-informed approach can ensure that child development priorities are culturally sensitive, which can support the development of programs aimed at enhancing children’s development which are embedded in local cultural norms and become part of the social fabric of the community under study.
Morphodynamic Resilience of the Tide‐Dominated Estuary With Interference From Tidal Flat Reclamations
Authors: Zhang Min , Wu Hangxing , Dai Zhijun , Mi Jie , Cai Huayang
Published: March 2023

Most tide‐dominated estuaries worldwide are among the morphodynamic shrinking types heavily disturbed by anthropogenic interventions like embankments and reclamations. A typical example is North Branch (NB), the northern first‐order distributary of Yangtze (Changjiang) Estuary, showed a rapid alteration from river‐dominated to tide‐dominated character in less than 50 years after intensive reclamations, resulting in serious morphodynamic shrinkage, thus attracted great concern of its evolutionary fate. Here, we explored this issue based on historical bathymetry data and hydro‐morphodynamic modeling to examine the morphology‐hydrology interactions and the suggested equilibrium re‐adjustment mechanism after intensive reclamations. Results demonstrated a mechanism of geomorphological resilience for the tide‐dominated estuary, evolving from preliminary estuarine shrinking to dynamic equilibrium after reclamations. Although reclamation could destabilize the system, leading to temporary positive feedback between tidal pumping and morphology shrinking, driving the estuary vanishing quickly in a short time. A substantial loss in the intertidal areas, changing the estuary geometry from a highly‐curved bank to a highly‐constrained channel, weakened flood tidal asymmetry of NB, which in turn altered sediment dynamics from deposition to erosion. Such negative feedback process tends to drive the estuary toward a new dynamic equilibrium morphology. The discovered nonlinear feedback mechanism is supported by the evidence of system efficiency adjustment, which was substantially gained during the first 30 years, then stayed in a low entropy production and minimum work state, indicating a more efficient dynamic equilibrium. If further estuary preservation policies are implemented, the dynamic equilibrium of NB is expected to continue for a long time in the future.
The Late Miocene‐Early Pliocene Biogenic Bloom: An Integrated Study in the Tasman Sea
Authors: Gastaldello M. E. , Agnini C. , Westerhold T. , Drury A. J. , Sutherland R. , Drake M. K. , Lam A. R. , Dickens G. R. , Dallanave E. , Burns S. , Alegret L.
Published: March 2023

The Late Miocene‐Early Pliocene Biogenic Bloom (∼9–3.5 Ma) was a paleoceanographic phenomenon defined by anomalously high accumulations of biological components at multiple open ocean sites, especially in certain regions of the Indian, and Pacific oceans. Its temporal and spatial extent with available information leaves fundamental questions about driving forces and responses unanswered. In this work, we focus on the middle part of the Biogenic Bloom (7.4–4.5 Ma) at International Ocean Discovery Program Site U1506 in the Tasman Sea, where we provide an integrated age model based on orbital tuning of the Natural Gamma Radiation, benthic foraminiferal oxygen isotopes, and calcareous nannofossil biostratigraphy. Benthic foraminiferal assemblages suggest changes in deep water oxygen concentration and seafloor nutrient supply during generally high export productivity conditions. From 7.4 to 6.7 Ma, seafloor conditions were characterized by episodic nutrient supply, perhaps related to seasonal phytoplankton blooms. From 6.7 to 4.5 Ma, the regime shifted to a more stable interval characterized by eutrophic and dysoxic conditions. Combined with seismic data, a regional change in paleoceanography is inferred at around 6.7 Ma, from stronger and well‐oxygenated bottom currents to weaker, oxygen‐depleted bottom currents. Our results support the hypothesis that the Biogenic Bloom was a complex, multiphase phenomenon driven by changes in ocean currents, rather than a single uniform period of sustained sea surface water productivity. Highly resolved studies are thus fundamental to its understanding and the disentanglement of local, regional, and global imprints.
3D Geophysical and Geological Modeling of the South Orkney Microcontinent (Antarctica): Tectonic Implications for the Scotia Arc Development
Authors: Morales‐Ocaña Cecilia , Bohoyo Fernando , Escutia Carlota , Marín‐Lechado Carlos , Rey‐Moral Carmen , Druet María , Galindo‐Zaldívar Jesús , Maestro Adolfo
Published: March 2023

The opening of the Scotia Arc resulted in the final breakup of the land bridge between South America and the Antarctic Peninsula. The South Orkney Microcontinent (SOM) constituted part of this former connection and it is now the largest continental block in the Southern Scotia Arc. We present the first 3D model of the SOM that, given its strategic position and characteristics, allows us to advance the knowledge of the tectonic processes involved in the development of the Scotia Arc. Due to the scarcity of reliable geological data, the initial approximation of the deep structure of the SOM was supported by the calculation of three main geological boundaries from geophysical data: the acoustic basement, the boundary of the magnetic anomaly source and the Moho depth. The 3D model was built, refined and validated by forward modeling and joint inversion of gravity and magnetic data. We have accurately defined the geometry of the sedimentary cover, determined the geometry of the intrusive igneous body causing the Pacific Margin Anomaly (PMA) and mapped the heterogeneity of the crustal thickness. These structural features show a clear relationship to each other and are consistent with an important E‐W extension to the east of the SOM during early stages of the Scotia Arc formation, prior to the opening of the Powell Basin.
Craniofacial therapy: advanced local therapies from nano-engineered titanium implants to treat craniofacial conditions
Authors: Gulati Karan , Ding Chengye , Guo Tianqi , Guo Houzuo , Yu Huajie , Liu Yan
Published: March 2023

Nano-engineering-based tissue regeneration and local therapeutic delivery strategies show significant potential to reduce the health and economic burden associated with craniofacial defects, including traumas and tumours. Critical to the success of such nano-engineered non-resorbable craniofacial implants include load-bearing functioning and survival in complex local trauma conditions. Further, race to invade between multiple cells and pathogens is an important criterion that dictates the fate of the implant. In this pioneering review, we compare the therapeutic efficacy of nano-engineered titanium-based craniofacial implants towards maximised local therapy addressing bone formation/resorption, soft-tissue integration, bacterial infection and cancers/tumours. We present the various strategies to engineer titanium-based craniofacial implants in the macro-, micro- and nano-scales, using topographical, chemical, electrochemical, biological and therapeutic modifications. A particular focus is electrochemically anodised titanium implants with controlled nanotopographies that enable tailored and enhanced bioactivity and local therapeutic release. Next, we review the clinical translation challenges associated with such implants. This review will inform the readers of the latest developments and challenges related to therapeutic nano-engineered craniofacial implants.
Programmable protein delivery with a bacterial contractile injection system
Authors: Kreitz Joseph , Friedrich Mirco J. , Guru Akash , Lash Blake , Saito Makoto , Macrae Rhiannon K. , Zhang Feng
Published: March 2023

Endosymbiotic bacteria have evolved intricate delivery systems that enable these organisms to interface with host biology. One example, the extracellular contractile injection systems (eCISs), are syringe-like macromolecular complexes that inject protein payloads into eukaryotic cells by driving a spike through the cellular membrane. Recently, eCISs have been found to target mouse cells1–3, raising the possibility that these systems could be harnessed for therapeutic protein delivery. However, whether eCISs can function in human cells remains unknown, and the mechanism by which these systems recognize target cells is poorly understood. Here we show that target selection by the Photorhabdus virulence cassette (PVC)—an eCIS from the entomopathogenic bacterium Photorhabdus asymbiotica—is mediated by specific recognition of a target receptor by a distal binding element of the PVC tail fibre. Furthermore, using in silico structure-guided engineering of the tail fibre, we show that PVCs can be reprogrammed to target organisms not natively targeted by these systems—including human cells and mice—with efficiencies approaching 100%. Finally, we show that PVCs can load diverse protein payloads, including Cas9, base editors and toxins, and can functionally deliver them into human cells. Our results demonstrate that PVCs are programmable protein delivery devices with possible applications in gene therapy, cancer therapy and biocontrol.
Chromosome-level genome assembly of the critically endangered Baer’s pochard (Aythya baeri)
Authors: Zhang Lei , Gao Xiaodong , Xia Tian , Yang Xiufeng , Sun Guolei , Zhao Chao , Liu Guangshuai , Zhang Honghai
Published: March 2023

Baer’s pochard (Aythya baeri) is a critically endangered species historically widespread throughout East Asia, whose population according to a recent estimate has decreased to between 150 and 700 individuals, and faces a long-term risk of extinction. However, the lack of a reference genome limits the study of conservation management and molecular biology of this species. We therefore report the first high-quality genome assembly of Baer’s pochard. The genome has a total length of 1.14 Gb with a scaffold N50 of 85,749,954 bp and a contig N50 of 29,098,202 bp. We anchored 97.88% of the scaffold sequences onto 35 chromosomes based on the Hi-C data. BUSCO assessment indicated that 97.00% of the highly conserved Aves genes were completely present in the genome assembly. Furthermore, a total of 157.06 Mb of repetitive sequences were identified and 18,581 protein-coding genes were predicted in the genome, of which 99.00% were functionally annotated. This genome will be useful for understanding Baer’s pochard genetic diversity and facilitate the conservation planning of this species.
Study of the solid–gas–stress coupling model and its application
Authors: Shi Xianzhi , Song Dazhao
Published: March 2023

Coal mines may change from non-outburst mines into coal and gas outburst mines with increasing mining depth. Therefore, scientific and rapid prediction of the coal seam outburst risk and effective prevention and control measures could ensure coal mine safety and production. This study aimed to propose a solid–gas–stress coupling model and assessed its applicability in predicting the coal seam outburst risk. Based on a large amount of outburst case data and the research results of previous scholars, coal and coal seam gas constitute the material basis of outbursts, and gas pressure is the energy source of coal seam outbursts. A solid–gas–stress coupling model was proposed, and a solid–gas–stress coupling equation was established via regression. Among the three major outburst factors, the sensitivity to the gas content during outbursts was the lowest. The causes of coal seam outbursts with a low gas content and the effect of the structure on outbursts were explained. It was theoretically revealed that the coupling of the coal firmness coefficient, gas content and gas pressure determined whether coal seams could experience outbursts. This paper provided a basis for assessing coal seam outbursts and classifying outburst mine types and listed application examples of solid–gas–stress theory.
The dependence of particle size on cell toxicity for modern mining dust
Authors: Chen Yi-Hsuan , Nguyen Dorothy , Brindley Stephen , Ma Tiancong , Xia Tian , Brune Jürgen , Brown Jared M. , Tsai Candace Su-Jung
Published: March 2023

Progressive massive pulmonary fibrosis among coal miners has unexpectedly increased. It would likely due to the greater generation of smaller rock and coal particles produced by powerful equipment used in modern mines. There is limited understanding of the relationship between micro- or nanoparticles with pulmonary toxicity. This study aims to determine whether the size and chemical characteristics of typical coal-mining dust contribute to cellular toxicity. Size range, surface features, morphology, and elemental composition of coal and rock dust from modern mines were characterized. Human macrophages and bronchial tracheal epithelial cells were exposed to mining dust of three sub- micrometer and micrometer size ranges at varying concentrations, then assessed for cell viability and inflammatory cytokine expression. Coal had smaller hydrodynamic size (180–3000 nm) compared to rock (495–2160 nm) in their separated size fractions, more hydrophobicity, less surface charge, and consisted of more known toxic trace elements (Si, Pt, Fe, Al, Co). Larger particle size had a negative association with in-vitro toxicity in macrophages (p < 0.05). Fine particle fraction, approximately 200 nm for coal and 500 nm for rock particles, explicitly induced stronger inflammatory reactions than their coarser counterparts. Future work will study additional toxicity endpoints to further elucidate the molecular mechanism causing pulmonary toxicity and determine a dose–response curve.
Simultaneous multimodal fNIRS-EEG recordings reveal new insights in neural activity during motor execution, observation, and imagery
Authors: Su Wan-Chun , Dashtestani Hadis , Miguel Helga O. , Condy Emma , Buckley Aaron , Park Soongho , Perreault John B. , Nguyen Thien , Zeytinoglu Selin , Millerhagen John , Fox Nathan , Gandjbakhche Amir
Published: March 2023

Motor execution, observation, and imagery are important skills used in motor learning and rehabilitation. The neural mechanisms underlying these cognitive-motor processes are still poorly understood. We used a simultaneous recording of functional near-infrared spectroscopy (fNIRS) and electroencephalogram (EEG) to elucidate the differences in neural activity across three conditions requiring these processes. Additionally, we used a new method called structured sparse multiset Canonical Correlation Analysis (ssmCCA) to fuse the fNIRS and EEG data and determine the brain regions of neural activity consistently detected by both modalities. Unimodal analyses revealed differentiated activation between conditions; however, the activated regions did not fully overlap across the two modalities (fNIRS: left angular gyrus, right supramarginal gyrus, as well as right superior and inferior parietal lobes; EEG: bilateral central, right frontal, and parietal). These discrepancies might be because fNIRS and EEG detect different signals. Using fused fNIRS-EEG data, we consistently found activation over the left inferior parietal lobe, superior marginal gyrus, and post-central gyrus during all three conditions, suggesting that our multimodal approach identifies a shared neural region associated with the Action Observation Network (AON). This study highlights the strengths of using the multimodal fNIRS-EEG fusion technique for studying AON. Neural researchers should consider using the multimodal approach to validate their findings.
Study of the distribution of Glycyrrhiza uralensis production areas as well as the factors affecting yield and quality
Authors: Cui Xinping , Lou Lin , Zhang Yan , Yan Binbin
Published: March 2023

Wild licorice in China is mainly distributed in northern China, such as Gansu, Ningxia, and Inner Mongolia Provinces. The origin of wild licorice has varied among historical periods. The cultivated origin of planted licorice has the same as 59.26% of wild licorice. The distribution of cultivated licorice was shifted to the northwest relative to that of wild licorice. The yield and quality of cultivated licorice vary greatly from different origins, showing a certain pattern of variation from west to east. The same batch of licorice seedlings was planted at 8 sites overlapping the main licorice production areas in China. The yield and quality of licorice in the Baicheng experimental plot were low. The yield of licorice in the Jingtai and Altay experimental plots was high, but the quality was poor. The quality of licorice in Chifeng and Yuzhong experimental sites was high, but the yield was low. Principal component analysis of environmental and soil factors generated five characteristic roots with a cumulative contribution rate of 80%, three of which were related to soil and referred to as the soil charge factor, soil water factor, and soil nutrient factor, and the load coefficients of the water and nutrient factor were the largest. Soil conditions, especially water and nutrients, might have a substantial effect on the observed changes in the licorice production area. Generally, the regulation of water and nutrients merits special attention when selecting areas for the production and cultivation of licorice. This study can provide reference for the selection of cultivated licorice production areas and the research of high-quality cultivation techniques.
2.5D printing of a yield-stress fluid
Authors: Colanges Simon , Tourvieille Jean-Noël , Lidon Pierre , Leng Jacques
Published: March 2023

We report on direct ink writing of a model yield-stress fluid and focus on the printability of the first layer, the one in contact with the supporting substrate. We observe a diversity of deposition morphologies that depends on a limited set of operational parameters, mainly ink flow rate, substrate speed and writing density, and also on material properties (e.g., yield-stress). Among these morphologies, one of them does not depend on fluid properties (as long as the fluid displays some yield-stress) and consists of flat films whose thickness is controllable in a significant range, about $$0.1{-}1$$

0.1
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1

 mm, and tunable in real time during printing. We thus demonstrate the ability to print films with thickness gradients and prove that the printing fidelity is mainly due to a competition between yield-stress and capillarity.
A high-sensitivity rotatable 3D displacement sensor
Authors: Cai Jianxian , Jiang Tao , Gao Zhitao , Shi Yan
Published: March 2023

Aiming at the problems of low sensitivity and low accuracy caused by the displacement transfer mechanism of three displacement sensors used simultaneously in the 3D displacement monitoring of seismic isolation bearings, the paper has proposed a high-sensitivity rotatable 3D displacement sensor. The sensor adds through holes on the surface of the equal-strength cantilever beam to form a cross beam, which increases the bending strain on the beam surface to improve the sensitivity. By adding a gyroscope and a mechanical rotation structure, a single sensor can measure the 3D displacement at the same time, reducing the adverse effects displacement transmission mechanism on the accuracy of the measurement. ANSYS software was used to simulate and optimize the parameters of the size of through-hole of the sensor beam to determine the appropriate size and location of the through-hole. Finally, the sensor was developed and its static characteristics and displacement measurement performance in static and dynamic 3D space were tested based on the simulation results. The test results have shown that the sensor has a sensitivity of 16.29 mV/mm and an accuracy of 0.9% in the range of 0–160 mm. Its static and dynamic 3D spatial displacement measurement errors are less than 2 mm, which can meet the accuracy requirements of 3D displacement measurement and sensitivity for structural health monitoring of seismic isolation bearings.
Association between lipid levels and all-cause and cause-specific mortality in critically ill patients
Authors: Li Shan , Zhang Wei , Liu Hongbin
Published: March 2023

Extremely low lipid levels are considered a sign of debilitation and illness. The association between lipid levels and the risk of mortality in critically ill patients has not been well investigated. This study was designed to evaluate the association between lipid levels and all-cause and cause-specific mortality in critically ill patients using a large collaborative research database known as the eICU database. In total, 27,316 individuals with low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC) and triglyceride (TG) measurements were analyzed. A J-shaped association was observed between LDL-C, HDL-C, and TC levels and all-cause and noncardiovascular mortality, with low concentrations associated with higher risk. LDL-C, HDL-C and TC levels in the first quintile were associated with higher all-cause and noncardiovascular mortality but not with cardiovascular mortality compared to the reference quintile. There was a marked synergistic effect between low LDL-C combined with low HDL-C on the risk of mortality. Individuals with LDL-C ≤ 96 mg/dL and HDL-C ≤ 27 mg/dL had an increased risk of all-cause mortality (OR 1.52, 95% CI: 1.26–1.82), cardiovascular mortality (OR 1.07, 95% CI: 1.37–1.76) and noncardiovascular mortality (OR 1.82, 95% CI: 1.37–2.43). The results of this observational cohort showed that low LDL-C, HDL-C and TC levels were independently associated with higher all-cause and noncardiovascular mortality in critically ill patients.
Association between familial aggregation of chronic kidney disease and its incidence and progression
Authors: Kim Jae Young , Chun Sung-youn , Lim Hyunsun , Chang Tae Ik
Published: March 2023

This study aimed to examine the association between familial aggregation of chronic kidney disease (CKD) and risk of CKD development and its progression. This nationwide family study comprised 881,453 cases with newly diagnosed CKD between 2004 and 2017 and 881,453 controls without CKD matched by age and sex, using data from the Korean National Health Insurance Service with linkage to the family tree database. The risks of CKD development and disease progression, defined as an incident end-stage renal disease (ESRD), were evaluated. The presence of any affected family member with CKD was associated with a significantly higher risk of CKD with adjusted ORs (95% CI) of 1.42 (1.38–1.45), 1.50 (1.46–1.55), 1.70 (1.64–1.77), and 1.30 (1.27–1.33) for individuals with affected parents, offspring, siblings, and spouses, respectively. In Cox models conducted on patients with predialysis CKD, risk of incident ESRD was significantly higher in those with affected family members with ESRD. The corresponding HRs (95% CI) were 1.10 (1.05–1.15), 1.38 (1.32–1.46), 1.57 (1.49–1.65), and 1.14 (1.08–1.19) for individuals listed above, respectively. Familial aggregation of CKD was strongly associated with a higher risk of CKD development and disease progression to ESRD.
The impact of biosynthesized ZnO nanoparticles from Olea europaea (Common Olive) on Pseudomonas aeruginosa growth and biofilm formation
Authors: Al-Momani Hafez , Al Balawi Dua’a , Hamed Saja , Albiss Borhan Aldeen , Almasri Muna , AlGhawrie Hadeel , Ibrahim Lujain , Al Balawi Hadeel , Al Haj Mahmoud Sameer , Pearson Jeffrey , Ward Christopher
Published: March 2023

There is a limitation in the range of effectual antibiotics due to the Pseudomonas aeruginosa (PA) infection due to its innate antimicrobial resistance. Researchers have therefore been concentrating their efforts to discover advanced and cost effective antibacterial agents among the ever-increasing PA bacterial resistance strains. It has been discovered that various nanoparticles can be employed as antimicrobial agents. Here, we evaluated the antibacterial properties of the Zinc Oxide nanoparticles (ZnO NPs), which was biosynthesized, being examined on six hospital strains of PA alongside a reference strain (ATCC 27853). A chemical approach was applied to biosynthesize the ZnO NPs from Olea europaea was performed, and confirmed by using X-ray diffraction and Scanning Electron Microscopes. The nanoparticles then applied their antibacterial properties to examine them against six clinically isolated PA strains alongside the reference strain. This process tested for the results of the minimum inhibitory concentration (MIC) and the minimum bactericidal concentration (MBC). The Growth, biofilm formation and eradication were analyzed. The influence of the differentiating degrees ZnO NPs in regard to Quorom sensing gene expression were further examined. The ZnO NPs exhibited a crystalline size and diameter (Dc) of 40–60 nm and both the MIC and MBC tests revealed positive outcomes of concentrations of 3 and 6 mg/ml for each PA strain, respectively. At sub inhibitory concentration, The ZnO NPs were found to significantly inhibit the growth and biofilm formation of all PA strains and decreases in the biomass and metabolic behavior of PA established biofilms; these decreases varied depending on the dosage. At ZnO NPs concentrations of 900 µg/ml, the expression of majority of quorum sensing genes of all strains were significantly reduced, at ZnO NPs concentrations of 300 µg/ml, few genes were significantly impacted. In conclusion, the treatment of PA and could be other antibiotic resistant bacteria can therefore be approached by using ZnO NPs as it has been uncovered that they withhold advanced antibacterial properties.