bluuebunny/crossref_metadata_2025 huggingface dataset:
New GATE Digitizer Unit for versions post v9.3
Authors: Kochebina Olga , Bonifacio Daniel A. B. , Konstantinou Georgios , Paillet Adrien , Pommranz Christian M. , Razdevšek Gašper , Sharyy Viatcheslav , Yvon Dominique , Jan Sebastien
Published: March 2024

The Digitizer Unit plays an important role in modeling using Geant4 Application for Tomographic Emission (GATE), a Geant4-based platform used for numerical simulations in medical imaging and radiotherapy. It simulates the response of the photodetection components using a sequence of analytical and semi-analytical models. The Digitizer Unit was written for the first version of GATE approximately 20 years ago. Since then, it has in parts grown in a code that can be hardly maintained. Some parts of the code were unused or duplicated; some of the functionalities were not working anymore. Therefore, the GATE Digitizer Unit update is required in order to incorporate the novelties of Geant4 to update its current version and add new features. In this article, the implementation of the new GATE Digitizer Unit (since version 9.3) is presented. Added functionalities, the impact of changes on users, the current status of the work, and perspectives are discussed.
Rice OseIF6.1 encodes a eukaryotic translation initiation factor and is essential for the development of grain and anther
Authors: Guo Hongming , Lv Jianqun , Su Xiangwen , Chen Liang , Ren Juansheng , Liu Liping , Ren Mingxin , Liu Song , Dai Mingli , Ren Guangjun , Gao Fangyuan
Published: March 2024

The eIF6 proteins are distributed extensively in eukaryotes and play diverse and essential roles. The bona fide eIF6 protein in Arabidopsis, At-eIF6;1, is essential for embryogenesis. However, the role of eIF6 proteins in rice growth and development remains elusive and requires further investigation. Here, we characterized the functions of OseIF6.1, which is homologous to At-eIF6;1. OseIF6.1 encodes an eukaryotic translation initiation factor with a conserved eIF6 domain. The knockdown of OseIF6.1 resulted in a decrease in grain length and pollen sterility, whereas the overexpression of OseIF6.1 displayed opposite phenotypes. Further studies revealed that OseIF6.1 regulates grain shape by influencing cell expansion and proliferation. In addition, OseIF6.1 interacts with OsNMD3, which is a nuclear export adaptor for the 60S ribosomal subunit. The knockdown of OsNMD3 in plants exhibited reduced fertility and seed setting. Therefore, our findings have significantly enriched the current understanding of the role of OseIF6.1 in rice growth and development.
Mitogen-activated protein kinase phosphatase 1 controls broad spectrum disease resistance in Arabidopsis thaliana through diverse mechanisms of immune activation
Authors: Berlanga Diego José , Molina Antonio , Torres Miguel Ángel
Published: March 2024

Arabidopsis thaliana Mitogen-activated protein Kinase Phosphatase 1 (MKP1) negatively balances production of reactive oxygen species (ROS) triggered by Microbe-Associated Molecular Patterns (MAMPs) through uncharacterized mechanisms. Accordingly, ROS production is enhanced in mkp1 mutant after MAMP treatment. Moreover, mkp1 plants show a constitutive activation of immune responses and enhanced disease resistance to pathogens with distinct colonization styles, like the bacterium Pseudomonas syringae pv. tomato DC3000, the oomycete Hyaloperonospora arabidopsidis Noco2 and the necrotrophic fungus Plectosphaerella cucumerina BMM. The molecular basis of this ROS production and broad-spectrum disease resistance controlled by MKP1 have not been determined. Here, we show that the enhanced ROS production in mkp1 is not due to a direct interaction of MKP1 with the NADPH oxidase RBOHD, nor is it the result of the catalytic activity of MKP1 on RBHOD phosphorylation sites targeted by BOTRYTIS INDUCED KINASE 1 (BIK1) protein, a positive regulator of RBOHD-dependent ROS production. The analysis of bik1 mkp1 double mutant phenotypes suggested that MKP1 and BIK1 targets are different. Additionally, we showed that phosphorylation residues stabilizing MKP1 are essential for its functionality in immunity. To further decipher the molecular basis of disease resistance responses controlled by MKP1, we generated combinatory lines of mkp1-1 with plants impaired in defensive pathways required for disease resistance to pathogen: cyp79B2 cyp79B3 double mutant defective in synthesis of tryptophan-derived metabolites, NahG transgenic plant that does not accumulate salicylic acid, aba1-6 mutant impaired in abscisic acid (ABA) biosynthesis, and abi1 abi2 hab1 triple mutant impaired in proteins described as ROS sensors and that is hypersensitive to ABA. The analysis of these lines revealed that the enhanced resistance displayed by mkp1-1 is altered in distinct mutant combinations: mkp1-1 cyp79B2 cyp79B3 fully blocked mkp1-1 resistance to P. cucumerina, whereas mkp1-1 NahG displays partial susceptibility to H. arabidopsidis, and mkp1-1 NahG, mkp1-1 aba1-6 and mkp1-1 cyp79B2 cyp79B3 showed compromised resistance to P. syringae. These results suggest that MKP1 is a component of immune responses that does not directly interact with RBOHD but rather regulates the status of distinct defensive pathways required for disease resistance to pathogens with different lifestyles.
Machine Learning for prediction of violent behaviors in schizophrenia spectrum disorders: a systematic review
Authors: Parsaei Mohammadamin , Arvin Alireza , Taebi Morvarid , Seyedmirzaei Homa , Cattarinussi Giulia , Sambataro Fabio , Pigoni Alessandro , Brambilla Paolo , Delvecchio Giuseppe
Published: March 2024

Background

Schizophrenia spectrum disorders (SSD) can be associated with an increased risk of violent behavior (VB), which can harm patients, others, and properties. Prediction of VB could help reduce the SSD burden on patients and healthcare systems. Some recent studies have used machine learning (ML) algorithms to identify SSD patients at risk of VB. In this article, we aimed to review studies that used ML to predict VB in SSD patients and discuss the most successful ML methods and predictors of VB.

Methods

We performed a systematic search in PubMed, Web of Sciences, Embase, and PsycINFO on September 30, 2023, to identify studies on the application of ML in predicting VB in SSD patients.

Results

We included 18 studies with data from 11,733 patients diagnosed with SSD. Different ML models demonstrated mixed performance with an area under the receiver operating characteristic curve of 0.56-0.95 and an accuracy of 50.27-90.67% in predicting violence among SSD patients. Our comparative analysis demonstrated a superior performance for the gradient boosting model, compared to other ML models in predicting VB among SSD patients. Various sociodemographic, clinical, metabolic, and neuroimaging features were associated with VB, with age and olanzapine equivalent dose at the time of discharge being the most frequently identified factors.

Conclusion

ML models demonstrated varied VB prediction performance in SSD patients, with gradient boosting outperforming. Further research is warranted for clinical applications of ML methods in this field.
The cost-effectiveness of syphilis screening in pregnant women: a systematic literature review
Authors: Zhang Meng , Zhang Hongyan , Hui Xiaoqing , Qu Huimin , Xia Junfen , Xu Feng , Shi Cannan , He Junjian , Cao Yuan , Hu Mengcai
Published: March 2024

Introduction

The cost-effectiveness study of syphilis screening in pregnant women has not been synthesized. This study aimed to synthesize the economic evidence on the cost-effectiveness of syphilis screening in pregnant women that might contribute to making recommendations on the future direction of syphilis screening approaches.

Methods

We systematically searched MEDLINE, PubMed, and Web of Science databases for relevant studies published before 19 January 2023 and identified the cost-effectiveness analyses for syphilis screening in pregnant women. The methodological design quality was appraised by the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) 2022 checklist.

Results

In total, 17 literature met the eligibility criteria for a full review. Of the 17 studies, four evaluated interventions using different screening methods, seven assessed a combination of syphilis testing and treatment interventions, three focused on repeat screening intervention, and four evaluated the interventions that integrated syphilis and HIV testing. The most cost-effective strategy appeared to be rapid syphilis testing with high treatment rates in pregnant women who were positive.

Discussion

The cost-effectiveness of syphilis screening for pregnancy has been widely demonstrated. It is very essential to improve the compliance with maternal screening and the treatment rates for positive pregnant women while implementing screening.
Digital economy and institutional dynamics: striving for equitable public service in a digitally transformed era
Authors: Lyu Yuwen , Xie Junxian , Meng Xulei , Wang Xiang
Published: March 2024

Background

The rapid emergence of China’s digital economy has sparked profound interest in the complex interplay between digitalization and the provision of public services. This study aims to delve deeper into how the development of the digital economy impacts the level of equalization in public service delivery and evaluates whether institutional factors can moderate this transformation. Against the backdrop of pursuing “common prosperity,” this research provides valuable guidance for policymaking and strategic planning. It ensures that the ascent of the digital economy not only elevates the standards of public services but also fosters their equitable distribution, thereby advancing the cause of social equity.

Methodology

The study utilized the System Generalized Method of Moments (GMM) model along with longitudinal trend data spanning from 2009 to 2018. This approach facilitated an in-depth analysis of the relationship between the digital economy and the level of equalization in public service delivery. The application of this model provided deeper insights into the impact of the digital economy on public service equalization and the identification of underlying mechanisms.

Findings

This study reveals a complex paradox that the digital economy is exacerbating regional disparities in the provision of basic public services. Furthermore, the research underscores the pivotal role of institutional environments in mitigating the adverse effects of the digital economy on public service provision. By examining the interplay between digital economy growth and institutional frameworks, the study suggests that adaptable and robust institutions are essential for harnessing the digital economy’s benefits while minimizing its potential drawbacks.

Conclusion

In conclusion, the findings from this study offer substantial insights into the dual impact of the digital economy on public service provision, enriching the ongoing discourse on digital transformation and social equity. The research underscores the significance of strategic policy reforms and institutional adjustments to harness the transformative power of the digital economy, promoting equitable access to public services and advancing the goal of “common prosperity” in the digital age.
Functional fitness benchmark values for older adults: a systematic review
Authors: Cossio-Bolaños Marco , Vidal-Espinoza Ruben , Villar-Cifuentes Ignacio , de Campos Luis Felipe Castelli Correia , de Lázari Marcela Silva Ramos , Urra-Albornoz Camilo , Sulla-Torres Jose , Gomez-Campos Rossana
Published: March 2024

Introduction

The use of normative values and/or standards of functional fitness in adults is relevant to overall health and well-being. The objectives of the study were: to identify the physical tests of the senior fitness test (SFT) that have been applied since its proposal and to describe the proposed percentiles according to age, sex and country.

Methods

A systematic review study was conducted in the Pubmed and Scopus databases. As eligibility criteria, we considered the period from 1999 to 2022 that presented data on SFT test used in the population over 60  years of age and that described normative values through percentiles. MeSH were used as: (1) Physical fitness, Exercise test, Senior Fitness Test, Functional fitness, Cardiorespiratory fitness, (2) older adult, aged, (3) Reference standards, standards, standards of care. Boolean operators “AND” and “OR” were included. Data extracted from the selected studies included: year of publication, country, sample age, sample size, sample sex, fitness component.

Results and discussion

Seven studies were identified in five countries (03 in China, 01 in Poland, 01 in Portugal, 01 in Spain and 01 in United States). The age range ranged from 60 to 103  years. The studies were conducted in both sexes. The study with the smallest sample size was by Chung et al. (China) with 944 participants and the largest number of participants was the study by Rikli and Jones in the United States with 7,183 participants. In general, no study was able to complete 100% (8 components) of the tests proposed in the SFT. Normative values were presented through percentile distribution (p10, p50 and p90) organized by age ranges. Males presented better performance in FPF tests than females in all tests. Since the first publication of the SFT until 2022, seven articles have been published in countries such as United States, China (three regional studies), Poland, Portugal and Spain. No study has published the complete battery with its eight components. The percentiles of functional fitness reflect decline with advancing age.

Systematic review registration

PROSPERO (CRD42023441294: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023441294).
From service design thinking to the third generation of activity theory: a new model for designing AI-based decision-support systems
Authors: Marocco Silvia , Talamo Alessandra , Quintiliani Francesca
Published: March 2024

Introduction

The rise of Artificial Intelligence (AI), particularly machine learning, has brought a significant transformation in decision-making (DM) processes within organizations, with AI gradually assuming responsibilities that were traditionally performed by humans. However, as shown by recent findings, the acceptance of AI-based solutions in DM remains a concern as individuals still strongly prefer human intervention. This resistance can be attributed to psychological factors and other trust-related issues. To address these challenges, recent studies show that practical guidelines for user-centered design of AI are needed to promote justified trust in AI-based systems.

Methods and results

To this aim, our study bridges Service Design Thinking and the third generation of Activity Theory to create a model which serves as a set of practical guidelines for the user centered design of Multi-Actor AI-based DSS. This model is created through the qualitative study of human activity as a unit of analysis. Nevertheless, it holds the potential for further enhancement through the application of quantitative methods to explore its diverse dimensions more extensively. As an illustrative example, we used a case study in the field of human capital investments, with a particular focus on organizational development, which involves managers, professionals, coaches and other significant actors. As a result, the qualitative methodology employed in our study can be characterized as a “pre-quantitative” investigation.

Discussion

This framework aims at locating the contribution of AI in complex human activity and identifying the potential role of quantitative data in it.
Case report: Donor lymphocyte infusion and blinatumomab as treatment for acute lymphoblastic leukemia relapse after allogeneic hematopoietic stem cell transplantation
Authors: Antonucci Flavia , Marotta Serena , Celentano Maria , Pedata Mariangela , Riccardi Cira , Luise Cristina , Carobene Angela , Muggianu Simona Maria , Viola Assunta , Caputo Mafalda , Leone Stefania , Migliaccio Ilaria , Pocali Barbara , Alberti Mirella , Falco Claudio , Toriello Mario , Ferrara Felicetto , Picardi Alessandra
Published: March 2024

To date, the effect of blinatumomab and donor lymphocyte infusion association as a salvage treatment for acute lymphoblastic leukemia (ALL) relapse after allogeneic transplant procedure is still unknown. Here, we report a case report of a patient with early relapse of ALL after allogeneic hematopoietic stem cell transplant successfully treated with a combination of blinatumomab and DLI.
Water dynamics in solutions of linear poly (N-isopropyl acrylamide) studied by 2H NMR field-cycling relaxometry
Authors: Säckel Christoph , von Klitzing Regine , Siegel Renée , Senker Jürgen , Vogel Michael
Published: March 2024

We use 2H nuclear magnetic resonance to study the dynamics of deuterated water in a solution of linear poly (N-isopropyl acrylamide) (pNIPAM, 4 wt%) across its coil-to-globule transition at a lower critical solubility temperature (LCST) around 32°C. In agreement with previous studies, we find that the 2H spin-lattice (T1) and, in particular, spin-spin (T2) relaxation times abruptly decrease when heating through the LCST, indicating that the polymer collapse causes an emergence of a water fraction with strongly reduced mobility. To quantify the dynamics of this slow water fraction, we exploit the fact that 2H field-cycling relaxometry allows us to measure the spectral density of the water reorientation in a broad frequency range. We find that the slow water fraction is characterised by a broad logarithmic Gaussian distribution of correlation times (σLG = 2.3), which is centred about τLG ≈ 10–9 s near the LCST. Hence, the common assumption of a Debye spectral density does not apply. We argue that a minor water fraction, which is located inside the pNIPAM globules and shows dynamics governed by the disordered polymer matrix, accompanies a major water fraction with bulk-like dynamics above the LCST. The former fraction amounts to about 0.4 water molecules per NIPAM monomer. Several findings indicate fast exchange between these bound and free water fractions on the T1 and T2 time scales.
PDEC: A Framework for Improving Knowledge Graph Reasoning Performance through Predicate Decomposition
Authors: Tian Xin , Meng Yuan
Published: March 2024

The judicious configuration of predicates is a crucial but often overlooked aspect in the field of knowledge graphs. While previous research has primarily focused on the precision of triples in assessing knowledge graph quality, the rationality of predicates has been largely ignored. This paper introduces an innovative approach aimed at enhancing knowledge graph reasoning by addressing the issue of predicate polysemy. Predicate polysemy refers to instances where a predicate possesses multiple meanings, introducing ambiguity into the knowledge graph. We present an adaptable optimization framework that effectively addresses predicate polysemy, thereby enhancing reasoning capabilities within knowledge graphs. Our approach serves as a versatile and generalized framework applicable to any reasoning model, offering a scalable and flexible solution to enhance performance across various domains and applications. Through rigorous experimental evaluations, we demonstrate the effectiveness and adaptability of our methodology, showing significant improvements in knowledge graph reasoning accuracy. Our findings underscore that discerning predicate polysemy is a crucial step towards achieving a more dependable and efficient knowledge graph reasoning process. Even in the age of large language models, the optimization and induction of predicates remain relevant in ensuring interpretable reasoning.
Trust-Aware Reflective Control for Fault-Resilient Dynamic Task Response in Human–Swarm Cooperation
Authors: Guo Yibei , Pang Yijiang , Lyons Joseph , Lewis Michael , Sycara Katia , Liu Rui
Published: March 2024

Due to the complexity of real-world deployments, a robot swarm is required to dynamically respond to tasks such as tracking multiple vehicles and continuously searching for victims. Frequent task assignments eliminate the need for system calibration time, but they also introduce uncertainty from previous tasks, which can undermine swarm performance. Therefore, responding to dynamic tasks presents a significant challenge for a robot swarm compared to handling tasks one at a time. In human–human cooperation, trust plays a crucial role in understanding each other’s performance expectations and adjusting one’s behavior for better cooperation. Taking inspiration from human trust, this paper introduces a trust-aware reflective control method called “Trust-R”. Trust-R, based on a weighted mean subsequence reduced algorithm (WMSR) and human trust modeling, enables a swarm to self-reflect on its performance from a human perspective. It proactively corrects faulty behaviors at an early stage before human intervention, mitigating the negative influence of uncertainty accumulated from dynamic tasks. Three typical task scenarios {Scenario 1: flocking to the assigned destination; Scenario 2: a transition between destinations; and Scenario 3: emergent response} were designed in the real-gravity simulation environment, and a human user study with 145 volunteers was conducted. Trust-R significantly improves both swarm performance and trust in dynamic task scenarios, marking a pivotal step forward in integrating trust dynamics into swarm robotics.
Perception of Animal Abuse among Adolescents: Influence of Social and Demographic Factors
Authors: Estévez-Pérez Laura , Zumbado Manuel , Luzardo Octavio P. , Henríquez-Hernández Luis Alberto
Published: March 2024

Animal welfare is inherited in each society, shaped by the surrounding environment and upbringing of each individual. This influence becomes particularly significant during adolescence. Due to its cultural context, Spain is among the European Union nations with the highest number of cases of animal abuse. The Canary Islands, the scenario of this study, show the highest rates of intentional poisoning of wildlife and pets’ abandonment. The aim of the present study was to explore the perception of animal welfare among adolescents, studying the influence of the main socio-demographic factors that may condition it. A validated questionnaire on animal abuse was used and distributed to adolescents aged 14–18 years in two public study centers. Animal abuse rates were correlated with socio-demographic variables. In total, 302 subjects answered the questionnaire. The perception of animal welfare was influenced by socio-demographic variables, gender being the most important. The demographic profile of the least responsive adolescent to animal abuse was a male engaged in sports, not owning a dog, and hailing from a family involved in hunting. Awareness should be raised at an early age, promoting artistic activities, encouraging contact with animals and sporting practices that do not generate a lack of empathy for animals.
Chronic Undernutrition in Ovine Twin Pregnancies Abolishes Differences in Birth Weight Due to Sex: An Evaluation of the Role of Nutritional and Antioxidant Supplementation
Authors: Sales Francisco , Peralta Óscar A. , De los Reyes Mónica , Sandoval Camila , Martínez-Ros Paula , Rojas Carolina , Gonzáles-Bulnes Antonio , Parraguez Víctor H.
Published: March 2024

In twin pregnancies of discordant sex, the male fetus grows larger than the female co-twin. Our study aimed to determine the effect of the sex of co-twins on lambs’ birth weight in ovine pregnancies developed under natural undernourishment. Additionally, we investigated whether the nutritional and/or antioxidant supplementation provided to ewes during pregnancy could modulate the potential effects associated with the sex of co-twins. Ninety-six birth records of twin pregnancies of sheep grazing the natural Patagonian prairies were analyzed. The animals were divided into four groups: control (no supplementation), N (concentrate supplementation, 100% NRC), A (antioxidant supplementation), and NA (concentrate + antioxidant supplementation). Supplementation occurred from day 35 of gestation onwards until lambing. There were no differences in female or male birth weight in the control undernourished group. However, in group N, females or males with sex-discordant co-twins had a higher birth weight than did those with co-twins of the same sex. Group A males with female co-twins had a higher birth weight compared to males whose co-twins were also males. In NA lambs, males had a higher birth weight compared to females, regardless of their co-twin’s sex. Therefore, chronic undernutrition abolished the differences in birth weight due to fetal sex. Restoring maternal nutrition or antioxidant supplementation tends to normalize birth weight and restore the differences between females and males. This effect is enhanced with the combined supplementation of concentrated food and antioxidants.
Multi-Locus Sequence Analysis Indicates Potential Cryptic Speciation in the Chigger Mite Neoschoengastia gallinarum (Hatori, 1920) Parasitising Birds in Asia
Authors: Rajasegaran Praveena , Koosakulnirand Sirikamon , Tan Kim-Kee , Khoo Jing Jing , Suliman Youseuf , Mansor Mohammad Saiful , Ahmad Khusaini Mohd K. S. , AbuBakar Sazaly , Chaisiri Kittipong , Morand Serge , Ya’cob Zubaidah , Makepeace Benjamin L.
Published: March 2024

Neoschoengastia gallinarum is widely distributed in Asia, preferentially parasitising birds, and heavy infestations have clinical impacts on domestic fowl. In common with other trombiculid mites, the genetic diversity and potential variation in host preferences or pathology induced by N. gallinarum are poorly understood. This study aimed to unravel the geographical variation and population structure of N. gallinarum collected from galliform birds in Peninsular Malaysia and Thailand by inference from concatenated mitochondrial-encoded cytochrome c oxidase subunit I (COI), and nuclear-encoded internal transcribed spacer 2 (ITS2) and 18S ribosomal DNA gene sequences, including a comparison with previously published data from southeastern China. Our multi-locus sequence analysis revealed three monophyletic clades comprising (A) specimens from Peninsular Malaysia, (B) the samples from Thailand together with a minority of Chinese sequences, and (C) the majority of sequences from China. Similarly, most species delimitation approaches divided the specimens into three operational taxonomic units. Analysis of molecular variance revealed 96.41% genetic divergence between Malaysian and Thai populations, further supported by the absence of gene flow (Nm = 0.01). In conclusion, despite the two countries sharing a land border, populations of N. gallinarum from Peninsular Malaysia and Thailand appear to be genetically segregated and may represent distinct cryptic species.
A Comparative Analysis of the Venom System between Two Morphotypes of the Sea Anemone Actinia equina
Authors: Alcaide Maria , Moutinho Cabral Inês , Carvalho Lara , Mendes Vera M. , Alves de Matos António P. , Manadas Bruno , Saúde Leonor , D’Ambrosio Mariaelena , Costa Pedro M.
Published: March 2024

The current study investigates the venom-delivery system of green and red morphotypes of the sea anemone Actinia equina to disclose its potential as a source of bioactive compounds. We compared the two morphotypes using electron and optical microscopy, proteomics, and toxicity assessment on zebrafish embryos. Specialized venom-injecting cells (nematocysts) are equally distributed and found in the tentacles of both varieties. Proteomics revealed proteins of interest in both red and green Actinia, yielding the three most abundant Gene Ontology (GO) terms related to the biological processes “proteolysis”, “hemolysis in another organism” and “lipid catabolic process”. Neurotoxins and cytolytic toxins similar to known cnidarian toxins like PsTX-60A and AvTX-60A, for instance, were identified in both types. Extracts from green and red anemones were toxic to zebrafish embryos, with green anemone venom appearing to be more potent. The findings highlight the presence of proteinaceous toxins in A. equina and the potential for different varieties to possess distinct bioactive compounds. Notably, pore-forming toxins are suggested for molecular probes and immunotoxins, making them valuable assets for potential biotechnological and biomedical purposes.
The In Vitro Effects of Carprofen on Lipopolysaccharide-Induced Neutrophil Extracellular Trap Formation in Dairy Cows
Authors: Zhi Jianbo , Qiao Kaixi , Xie Lei , Pascottini Osvaldo Bogado , Opsomer Geert , Dong Qiang
Published: March 2024

The objective of this study was to develop an in vitro model that mimics inflammatory reactions and neutrophil extracellular traps (NETs) formation by polymorphonuclear leukocytes (PMNs) in dairy cows. This model was used to examine the effect of carprofen (CA) on lipopolysaccharide (LPS)-induced NETs formation and expression of inflammatory factors. Peripheral blood samples were collected from 24 Holstein cows (3–11 days postpartum) and PMNs were isolated. In three replicates, PMNs were exposed to various treatments to establish an appropriate in vitro model, including 80 μg/mL of LPS for 2 h, followed by co-incubation for 1 h with 60 μmol/L CA and 80 μg/mL LPS. The effects of these treatments were evaluated by assessing NETs formation by extracellular DNA release, gene expression of pro-inflammatory cytokines, reactive oxygen species (ROS) production, and the expression of NETs-related proteins, including histone3 (H3), citrullinated histone (Cit-H3), cathepsin G (CG), and peptidyl arginine deiminase 4 (PAD4). The assessment of these parameters would elucidate the specific mechanism by which CA inhibits the formation of NETs through the PAD4 pathway instead of modulating the Nox2 pathway. This highlights CA’s effect on chromatin decondensation during NETs formation. Statistical analyses were performed utilizing one-way ANOVA with Bonferroni correction. The results demonstrated that LPS led to an elevated formation of NETs, while CA mitigated most of these effects, concurrent the PAD4 protein level increased with LPS stimulating and decreased after CA administration. Nevertheless, the intracellular levels of ROS did not change under the presence of LPS. LPS supplementation resulted in an upregulation of H3 and Cit-H3 protein expression levels. Conversely, the CA administration inhibited their expression. Additionally, there was no change in the expression of CG with either LPS or LPS + CA co-stimulation. The gene expression of pro-inflammatory cytokines (tumor necrosis factor -α, interleukin (IL)-18, IL-1β, and IL-6) upregulated with LPS stimulation, while the treatment with CA inhibited this phenomenon. In conclusion, CA demonstrated a pronounced inhibitory effect on both LPS-induced NETs formation as well as the associated inflammatory response.
Research on Joint Optimization of Task Offloading and UAV Trajectory in Mobile Edge Computing Considering Communication Cost Based on Safe Reinforcement Learning
Authors: Dai Yu , Fu Jiaming , Gao Zhen , Yang Lei
Published: March 2024

Due to CPU and memory limitations, mobile IoT devices face challenges in handling delay-sensitive and computationally intensive tasks. Mobile edge computing addresses this issue by offloading tasks to the wireless network edge, reducing latency and energy consumption. UAVs serve as auxiliary edge clouds, providing flexible deployment and reliable wireless communication. To minimize latency and energy consumption, considering the limited resources and computing capabilities of UAVs, a multi-UAV and multi-edge cloud system was deployed for task offloading and UAV trajectory optimization. A joint optimization model for computing task offloading and UAV trajectory was proposed. During model training, a UAV communication mechanism was introduced to address potential coverage issues for mobile user devices through multiple UAVs or complete coverage. Considering the fact that decisions made by UAVs during trajectory planning may lead to collisions, a MADDPG algorithm with an integrated safety layer was adopted to obtain the safest actions closest to the joint UAV actions under safety constraints, thereby avoiding collisions between UAVs. Numerical simulation results demonstrate that the optimization method based on safety reinforcement learning considering communication cost outperforms other optimization methods. Communication between UAVs effectively addresses the issue of redundant or incomplete coverage for mobile user devices, reducing computation latency and energy consumption for task offloading. Additionally, the introduction of safety reinforcement learning effectively avoids collisions between UAVs.
Pairwise Likelihood Estimation of the 2PL Model with Locally Dependent Item Responses
Authors: Robitzsch Alexander
Published: March 2024

The local independence assumption is crucial for the consistent estimation of item parameters in item response theory models. This article explores a pairwise likelihood estimation approach for the two-parameter logistic (2PL) model that treats the local dependence structure as a nuisance in the optimization function. Hence, item parameters can be consistently estimated without explicit modeling assumptions of the dependence structure. Two simulation studies demonstrate that the proposed pairwise likelihood estimation approach allows nearly unbiased and consistent item parameter estimation. Our proposed method performs similarly to the marginal maximum likelihood and pairwise likelihood estimation approaches, which also estimate the parameters for the local dependence structure.
“[…] Un Tout Petit Peu de Dufayel”—Picasso, 1910–1914
Authors: Madeline Laurence
Published: March 2024

Picasso twice quoted the name of Dufayel, once in relation with the name of the Louvre and once for the same period of his career, between 1910 and 1914. This essay explores the universe created by the businessman Georges Dufayel in order to understand the role it played in Picasso’s evolving cubism from that of analytic to synthetic.
Indoor Thermal Environment Evaluation for Emergency Medical Tents in Heating Season: Onsite Testing and Case Study in China
Authors: Han Meng , Jin Zhineng , Zhao Ying , Zhang Yin , Han Wenyang , Zhang Menglong
Published: March 2024

In this study, the standard tent used by the China International Medical Team (Sichuan) was used as the research object to study the internal temperature change in medical tents in a low-temperature environment relying on heating equipment. Method: Four temperature sensors were arranged along the horizontal direction at a 1.2 m height in the medical tent, and more sensors were installed at heights of 0.1, 0.2, 0.6, 1.2, 1.8, 2.4, and 2.5 m. A total of 11 temperature sensors were set. Temperature tests were conducted in January and February 2021 in Chengdu, Sichuan Province. During the test, the running time of the heating equipment was controlled in real time according to the temperature change trend. A Kolmogorov–Smirnov(K-S) test was used to verify the reliability of the experimental data. The temperature change trend was used to characterize the influence of the heating and cooling equipment on the temperature change inside the tent. Results: Due to the position angle of the heating equipment and the influence of the external environment, the spatial distribution of the ambient temperature inside the medical tent was obviously uneven. In winter, an electric heater with a heating power of about 2500 W can increase the internal temperature of the tent to 16.7 °C, significantly improving the internal thermal environment of the medical tent. The ambient temperature in the medical tent is positively correlated with the height and the installation position of the heating equipment. Conclusion: Medical tents can maintain the ambient temperature well to meet medical needs with the support of heating equipment with sufficient power. The temperature distribution law of medical tents in this experiment has good guiding significance for the placement angle of heating equipment and the configuration position of medical equipment and provides a reference for the development of thermal insulation materials for medical tents.
Wearable 12-Lead ECG Acquisition Using a Novel Deep Learning Approach from Frank or EASI Leads with Clinical Validation
Authors: Fu Fan , Zhong Dacheng , Liu Jiamin , Xu Tianxiang , Shen Qin , Wang Wei , Zhu Songsheng , Li Jianqing
Published: March 2024

The 12-lead electrocardiogram (ECG) is crucial in assessing patient decisions. However, portable ECG devices capable of acquiring a complete 12-lead ECG are scarce. For the first time, a deep learning-based method is proposed to reconstruct the 12-lead ECG from Frank leads (VX, VY, and VZ) or EASI leads (VES, VAS, and VAI). The innovative ECG reconstruction network called M2Eformer is composed of a 2D-ECGblock and a ProbDecoder module. The 2D-ECGblock module adaptively segments EASI leads into multi-periods based on frequency energy, transforming the 1D time series into a 2D tensor representing within-cycle and between-cycle variations. The ProbDecoder module aims to extract Probsparse self-attention and achieve one-step output for the target leads. Experimental results from comparing recorded and reconstructed 12-lead ECG using Frank leads indicate that M2Eformer outperforms traditional ECG reconstruction methods on a public database. In this study, a self-constructed database (10 healthy individuals + 15 patients) was utilized for the clinical diagnostic validation of ECG reconstructed from EASI leads. Subsequently, both the ECG reconstructed using EASI and the recorded 12-lead ECG were subjected to a double-blind diagnostic experiment conducted by three cardiologists. The overall diagnostic consensus among three cardiology experts, reaching a rate of 96%, indicates the significant utility of EASI-reconstructed 12-lead ECG in facilitating the diagnosis of cardiac conditions.
Enhanced Nuclei Segmentation and Classification via Category Descriptors in the SAM Model
Authors: Luna Miguel , Chikontwe Philip , Park Sang Hyun
Published: March 2024

Segmenting and classifying nuclei in H&E histopathology images is often limited by the long-tailed distribution of nuclei types. However, the strong generalization ability of image segmentation foundation models like the Segment Anything Model (SAM) can help improve the detection quality of rare types of nuclei. In this work, we introduce category descriptors to perform nuclei segmentation and classification by prompting the SAM model. We close the domain gap between histopathology and natural scene images by aligning features in low-level space while preserving the high-level representations of SAM. We performed extensive experiments on the Lizard dataset, validating the ability of our model to perform automatic nuclei segmentation and classification, especially for rare nuclei types, where achieved a significant detection improvement in the F1 score of up to 12%. Our model also maintains compatibility with manual point prompts for interactive refinement during inference without requiring any additional training.
Gene-Expression Patterns of Tumor and Peritumor Tissues of Smoking and Non-Smoking HPV-Negative Patients with Head and Neck Squamous Cell Carcinoma
Authors: Soboleva Anna , Arutyunyan Irina , Jumaniyazova Enar , Vishnyakova Polina , Zarubina Daria , Nimatov Eldar , Elchaninov Andrey , Fatkhudinov Timur
Published: March 2024

We studied the gene-expression patterns in specimens of tumor and peritumor tissue biopsies of 26 patients with head and neck carcinomas depending on smoking status. Histological and immunohistochemical examinations verified that all tumors belonged to the “classical” subgroup of head and neck carcinomas, and the HPV-negative tumor status was confirmed. The expression of 28 tumor-associated genes determined by RT-PCR was independent of patients’ sex or age, TNM status, degree of differentiation, or tissue localization. Moreover, in peritumor tissue, none of the 28 genes were differentially expressed between the groups of smoking and nonsmoking patients. During oncotransformation in both studied groups, there were similar processes typical for HNSCC progression: the expression levels of paired keratins 4 and 13 were reduced, while the expression levels of keratin 17 and CD44 were significantly increased. However, further investigation revealed some distinctive features: the expression of the genes EGFR and TP63 increased significantly only in the nonsmoking group, and the expression of IL6, CDKN2A, EGF, and PITX1 genes changed only in the smoking group. In addition, correlation analysis identified several clusters within which genes displayed correlations in their expression levels. The largest group included 10 genes: TIMP1, TIMP2, WEE1, YAP, HIF1A, PI3KCA, UTP14A, APIP, PTEN, and SLC26A6. The genetic signatures associated with smoking habits that we have found may serve as a prerequisite for the development of diagnostic panels/tests predicting responses to different therapeutic strategies for HNSCC.
Cerebrospinal Fluid Dynamics and Partial Pressure of Carbon Dioxide as Prognostic Indicators in Hypoxic–Ischemic Brain Injury Following Cardiac Arrest
Authors: Jeon So Young , Ahn Hong Joon , Kang Changshin , You Yeonho , Park Jung Soo , Min Jin Hong , Jeong Wonjoon , In Yong Nam
Published: March 2024

Changes in cerebrospinal fluid (CSF) dynamics can have adverse effects on neuronal function. We hypothesized that patients with hypoxic–ischemic brain injury (HIBI) showing poor neurological outcomes after cardiac arrest (CA) would exhibit changes in CSF dynamics, leading to abnormalities in gas diffusion within the CSF. Therefore, we investigated the prognostic value of the CSF partial pressure of carbon dioxide (PcsfCO2) in CA survivors who underwent targeted temperature management (TTM). We retrospectively analyzed the 6-month neurological outcomes, CSF, and arterial blood gas parameters of 67 CA survivors. Patients were divided into good and poor neurological outcome groups, and the predictive value of PcsfCO2 for poor neurological outcomes was assessed using receiver operating characteristic curve analysis. Among all patients, 39 (58.2%) had poor neurological outcomes. Significant differences in PcsfCO2 levels between the groups were observed, with lower PcsfCO2 levels on Day 1 showing the highest predictive value at a cutoff of 30 mmHg (area under the curve, sensitivity, and specificity were 0.823, 77.8%, and 79.0%, respectively). These results suggest that PcsfCO2 might serve not only as a unique marker for the severity of hypoxic–ischemic brain injury (HIBI), independent of extracorporeal CO2 levels, but also as an objective indicator of changes in CSF dynamics. This study highlights the potential prognostic and diagnostic utility of PcsfCO2 during TTM in CA survivors, emphasizing its importance in evaluating CSF dynamics and neurological recovery post CA. However, larger multicenter studies are warranted to address potential limitations associated with sample size and outcome assessment methods.
Research on Temperature Field of Cement-Mixing Pile-Reinforced Soft Soil Foundation
Authors: Wang Zhe , Xu Weisheng , Xu Qing , Wang Yangming , Zhu Yingna
Published: March 2024

To investigate the mechanism of reinforcing soft soil with cement-mixing pile, based on ABAQUS secondary development, a numerical simulation study of the hydration reaction of cement-mixing piles was conducted. In this study, the influence of ground temperature variations on the distribution patterns of the temperature field in and around the pile was also considered. The temperature field of the pile–soil model can be primarily divided into two stages: the temperature rise stage (0~5 d) and the temperature decrease stage (5~90 d). The following observations were made: (1) The temperature of the pile body rapidly increased within the first 5 days, dissipating heat to the surrounding soil, leading to an elevation of the temperature in the soil around the pile and a decrease in soil moisture content. Around the 5th day, the temperature reached its maximum value, and the heat release rate of the pile body was higher than that of the surrounding soil. (2) With a 15% cement admixture, under the influence of 425# cement hydration, the temperature inside the pile increased by 5 °C, and the temperature in the soil around the pile increased by 4.2 °C. After considering the ground temperature, the temperature in the soil around the pile increased by 4.6 °C. (3) The maximum temperature generated during the hydration of 425# Portland cement is higher than that of 525#; the temperature of the soil around piles made with 425# cement is consistently higher than that made with 525#. (4) The hydration temperature of piles with a 10% cement admixture increased by 4.4 °C; for piles with a 15% cement admixture, the hydration temperature increased by 6.6 °C; and for piles with a 20% cement admixture, the hydration temperature increased by 9.1 °C. The temperature field of this structure gradually stabilizes after 7 days with increasing time and cement admixture. The results indicate that the hydration of cement-mixing piles raises the temperature of the soil around the piles. Additionally, the temperature resulting from the hydration of cement-mixing pile increases with the addition of cement.
Regulation of PD-L1 Expression by YY1 in Cancer: Therapeutic Efficacy of Targeting YY1
Authors: Dillen Ana , Bui Indy , Jung Megan , Agioti Stephanie , Zaravinos Apostolos , Bonavida Benjamin
Published: March 2024

During the last decade, we have witnessed several milestones in the treatment of various resistant cancers including immunotherapeutic strategies that have proven to be superior to conventional treatment options, such as chemotherapy and radiation. This approach utilizes the host’s immune response, which is triggered by cancer cells expressing tumor-associated antigens or neoantigens. The responsive immune cytotoxic CD8+ T cells specifically target and kill tumor cells, leading to tumor regression and prolongation of survival in some cancers; however, some cancers may exhibit resistance due to the inactivation of anti-tumor CD8+ T cells. One mechanism by which the anti-tumor CD8+ T cells become dysfunctional is through the activation of the inhibitory receptor programmed death-1 (PD-1) by the corresponding tumor cells (or other cells in the tumor microenvironment (TME)) that express the programmed death ligand-1 (PD-L1). Hence, blocking the PD-1/PD-L1 interaction via specific monoclonal antibodies (mAbs) restores the CD8+ T cells’ functions, leading to tumor regression. Accordingly, the Food and Drug Administration (FDA) has approved several checkpoint antibodies which act as immune checkpoint inhibitors. Their clinical use in various resistant cancers, such as metastatic melanoma and non-small-cell lung cancer (NSCLC), has shown significant clinical responses. We have investigated an alternative approach to prevent the expression of PD-L1 on tumor cells, through targeting the oncogenic transcription factor Yin Yang 1 (YY1), a known factor overexpressed in many cancers. We report the regulation of PD-L1 by YY1 at the transcriptional, post-transcriptional, and post-translational levels, resulting in the restoration of CD8+ T cells’ anti-tumor functions. We have performed bioinformatic analyses to further explore the relationship between both YY1 and PD-L1 in cancer and to corroborate these findings. In addition to its regulation of PD-L1, YY1 has several other anti-cancer activities, such as the regulation of proliferation and cell viability, invasion, epithelial–mesenchymal transition (EMT), metastasis, and chemo-immuno-resistance. Thus, targeting YY1 will have a multitude of anti-tumor activities resulting in a significant obliteration of cancer oncogenic activities. Various strategies are proposed to selectively target YY1 in human cancers and present a promising novel therapeutic approach for treating unresponsive cancer phenotypes. These findings underscore the distinct regulatory roles of YY1 and PD-L1 (CD274) in cancer progression and therapeutic response.