bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural design and synthesis of naphthalene‐containing phthalonitrile polymer with excellent processability and high temperature properties
Authors: Jia Zhiyi , Zhang Xinyang , Wang Xinyang , Zhao Tao , Chen Xinggang , Wu Minjie , Rong Jianxin , Jia Dianqiu , Yu Xiaoyan , Zhang Qingxin 
Published: August 2023

AbstractCurrently, there is limited literature on the introduction of naphthalene ring into phthalonitrile. In this study, we have successfully synthesized a novel phthalonitrile monomer (CPND) by incorporating a symmetrical rigid naphthalene ring structure, long flexible chains, and high‐density cyano groups into the resin. The monomer is being cured with two different agents and procedures to investigate the impact of curing agent structure and ramp‐up procedure on polymer properties. The structure of the monomer is being verified using nuclear magnetic resonance (NMR), infrared spectroscopy (FTIR), and wide‐angle X‐ray diffraction (WAXD). Differential scanning calorimetry (DSC) results reveal that the monomer has a low melting point of 111°C, making it easily processable. After mixing with the curing agent in the appropriate proportion, it has a calculated processing window of 129–135°C. Thermogravimetric analysis (TGA) reveals that the polymers exhibit remarkable thermal stability, with all T5% above 470°C under a nitrogen atmosphere. Additionally, the results obtained from dynamic mechanical analysis (DMA) indicate that the polymer, which is cured using APPH as a curing agent, displays favorable thermo‐mechanical properties. The storage modulus of the polymers at room temperature is all higher than 3330 MPa, respectively. Moreover, the glass transition temperature is found to be higher than 400°C, signifying the excellent thermo‐mechanical properties of the polymer.
Proteomics and bioinformatics investigations to improve serological diagnosis of canine brucellosis
Authors: Luciani Mirella , Krasteva Ivanka , Di Febo Tiziana , Perletta Fabrizia , D'Onofrio Federica , De Massis Fabrizio , D'Alterio Nicola , Sacchini Flavio , Tittarelli Manuela 
Published: August 2023

AbstractPurposeBrucella canis is pathogenic for dogs and humans. Serological diagnosis is a cost‐effective approach for disease surveillance, but a major drawback of current serological tests is the cross‐reactivity with other bacteria that results in false positive reactions. Development of indirect tests with improved sensitivity and specificity that use selected B. canis proteins instead of the whole antigen remain a priority.Experimental DesignA western blotting assay was developed to define the serum antibody patterns associated to infection using a panel of positive and negative dog sera. B. canis positive sera recognized immunogenic bands ranging from 7 to 30 kDa that were then submitted to ESI–LC‐MS/MS and analyzed by bioinformatics tools.ResultsA total of 398 B. canis proteins were identified. Bioinformatics tools identified 16 non cytoplasmic immunogenic proteins predicted as non‐homologous with the most important Brucella cross‐reactive bacteria and nine B. canis proteins non‐homologous to B. ovis; among the latter, one resulted non‐homologous to B. melitensis. Data are available via ProteomeXchange with identifier PXD042682.Conclusions and Clinical RelevanceThe western blotting test developed was able to distinguish between infected and non‐infected animals and may serve as a confirmatory test for the serological diagnosis of B. canis. The mass spectrometry and in silico results lead to the identification of specific candidate antigens that pave the way for the development of more accurate indirect diagnostic tests.
Risk‐sensitive stochastic maximum principle for forward‐backward systems involving impulse controls
Authors: Xu Ruimin , Zhou Ying 
Published: August 2023

AbstractIn this article, we study a risk‐sensitive stochastic optimal control problem driven by forward‐backward systems in which the control variable consists of two components: the continuous control and the impulse control. The control domain is assumed to be convex. We establish the maximum principle (i.e., necessary condition) for this kind of control problem. Under some additional assumptions, the necessary optimality conditions turn out to be sufficient. To explain the theoretical results, a linear‐quadratic risk‐sensitive control problem is solved by using the maximum principle derived and the optimal control is obtained.
Dimensional effect of graphene nanostructures on cytoskeleton‐coupled anti‐tumor metastasis
Authors: Du Qiqige , Li Na , Lian Jiaqi , Guo Jun , Zhang Yi , Zhang Feng 
Published: August 2023

AbstractInteractions between inorganic materials and living systems can be strongly influenced by the dimensional property of the materials, which can in turn impact biological activities. Although the role of biomaterials at the molecular and cellular scales has been studied, research investigating the effects of biomaterials across multiple dimensional scales is relatively scarce. Herein, comparing the effectiveness of two‐dimensional graphene oxide nanosheets (GOs) and three‐dimensional graphene oxide quantum dots (GOQDs) (though not zero‐dimensional because of their significant surface area) in cancer therapies, we have discovered that GOs, with the same mass concentration, exhibit stronger anti‐cancer and anti‐tumor metastasis properties than GOQDs. Our research, which employed liquid‐phase atomic force microscopy, revealed that lower‐dimensional GOs create a more extensive nano‐bio interface that impedes actin protein polymerization into the cytoskeleton, leading to the prevention of tumor metastasis. These results help to better understand the underlying mechanisms and offer a dimensional perspective on the potential of optimizing the properties of graphene‐based materials for clinical applications, e.g., cancer therapy.
W. E. B. Du Bois as Interactionist: Reflections on the Canonical Incorporation of a Marginalized Scholar
Authors: Ruiz‐Junco Natalia , Vidal‐Ortiz Salvador 
Published: August 2023

Recent scholarship explores the relevance and canonical status of W. E. B. Du Bois in sociological theory; yet less is said about his contributions to symbolic interactionism. This paper interrogates the emerging meaning of W. E. B. Du Bois for sociology, and the nature of his canonical incorporation. We explore the less “official” dimensions of Du Boisian theory, and in particular two of his contributions to symbolic interactionism: double consciousness and autoethnography. In the last part of the paper, we suggest that Du Bois's incorporation into the sociological canon can be viewed as a process of “centering,” and argue that this form of sponsoring of Du Bois's work can elevate some interpretations of Du Bois to the detriment of others.
Recent insights explaining susceptibility to endometriosis—From genetics to environment
Authors: Pais Ana Sofia , Almeida‐Santos Teresa 
Published: August 2023

AbstractEndometriosis is a disease with a heterogeneous pathogenesis, explained by multiple theories, and also with a polymorphic presentation. The purpose of this literature review is to systematize the genetic, inflammatory, and environmental factors related to the pathophysiology of endometriosis. Current evidence suggests that endometriosis is a complex inherited genetic condition, in which the genes that determine susceptibility to the disease interact with the environment to develop different phenotypes. Genetic variants associated with risk of endometriosis have been identified in several genome‐wide association studies, in addition to a group of genes related to the pathophysiology of endometriosis, namely the estrogen, progesterone and androgen receptors and the cytochrome P450 gene, as well as the p53 gene. The role of inflammation is controversial; however, it is an essential process, both in the initiation and perpetuation of the disease, in and outside the pelvis. Alterations in reactive oxygen species pathways that consequently determine oxidative stress are typical in the inflammatory environment of endometriosis. The role of environmental factors is a relatively new and broad‐spectrum topic, with inconsistent evidence. Multiple factors have been studied such as endocrine‐disrupting chemicals, metals, intrauterine exposure to diethylstilbesterol and lifestyle risk factors. In conclusion, endometriosis remains a mysterious condition, with multifactorial factors involved in its pathophysiology. The progress that has been made in the genetic predisposition to endometriosis may allow the establishment of new therapeutic targets. On the other hand, understanding the role of the environment in this disease may allow preventive intervention, minimizing its incidence and/or severity.This article is categorized under:
Reproductive System Diseases > Molecular and Cellular Physiology
Reproductive System Diseases > Environmental Factors
Reproductive System Diseases > Genetics/Genomics/Epigenetics
Recommender Systems, Manipulation and Private Autonomy: How European Civil Law Regulates and Should Regulate Recommender Systems for the Benefit of Private Autonomy
Authors: Grisse Karina 
Published: August 2023

AbstractRecommender systems determine the content that users see and the offers they receive in digital environments. They are necessary tools to structure and master large amounts of information and to provide users with information that is (potentially) relevant to them. In doing so, they influence decision-making. The chapter examines under which circumstances these influences cross a line and can be perceived as manipulative. This is the case if they operate in opaque ways and aim at certain decision-making vulnerabilities that can comprise the autonomous formation of the will. Used in that way, they pose a danger to private autonomy that needs to be met by law. This chapter elaborates where the law of the European Union already adequately addresses these threats and where further regulation is needed.
Arbuscular mycorrhizal fungi influence the intraspecific competitive ability of plants under field and glasshouse conditions
Authors: Groten Karin , Yon Felipe , Baldwin Ian T. 
Published: August 2023

Abstract
Main conclusion
Nicotiana attenuata’s capacity to interact with arbuscular mycorrhizal fungi influences its intraspecific competitive ability under field and glasshouse conditions, but not its overall community productivity.

Abstract
Arbuscular mycorrhizal (AM) fungi can alter the nutrient status and growth of plants, and they can also affect plant–plant, plant–herbivore, and plant–pathogen interactions. These AM effects are rarely studied in populations under natural conditions due to the limitation of non-mycorrhizal controls. Here we used a genetic approach, establishing field and glasshouse communities of AM-harboring Nicotiana attenuata empty vector (EV) plants and isogenic plants silenced in calcium- and calmodulin-dependent protein kinase expression (irCCaMK), and unable to establish AM symbioses. Performance and growth were quantified in communities of the same (monocultures) or different genotypes (mixed cultures) and both field and glasshouse experiments returned similar responses. In mixed cultures, AM-harboring EV plants attained greater stalk lengths, shoot and root biomasses, clearly out-competing the AM fungal-deficient irCCaMK plants, while in monocultures, both genotypes grew similarly. Competitive ability was also reflected in reproductive traits: EV plants in mixed cultures outperformed irCCaMK plants. When grown in monocultures, the two genotypes did not differ in reproductive performance, though total leaf N and P contents were significantly lower independent of the community type. Plant productivity in terms of growth and seed production at the community level did not differ, while leaf nutrient content of phosphorus and nitrogen depended on the community type. We infer that AM symbioses drastically increase N. attenuata’s competitive ability in mixed communities resulting in increased fitness for the individuals harboring AM without a net gain for the community.
Effects of aminophylline therapy on urine output and kidney function in children with acute kidney injury
Authors: Nyann Beatrice I. , Nourse Peter , Masu Adelaide , Agyabeng Kofi , McCulloch Mignon I. 
Published: August 2023

Abstract

Background
Acute kidney injury (AKI) is a frequent complication of children admitted to the paediatric intensive care unit. One key management modality of AKI is the use of diuretics to reduce fluid overload. Aminophylline, a drug that is well known for its use in the treatment of bronchial asthma, is also purported to have diuretic effects on the kidneys. This retrospective cohort study assesses the effect of aminophylline in critically ill children with AKI.

Methods
A retrospective chart review of children admitted to the paediatric intensive care unit of the Red Cross War Memorial Children’s Hospital (RCWMCH) with AKI who received aminophylline (from 2012 to June 2018) was carried out. Data captured and analyzed included demographics, underlying disease conditions, medications, urine output, fluid balance, and kidney function.

Results
Data from thirty-four children were analyzed. Urine output increased from a median of 0.4 mls/kg/hr [IQR: 0.1, 1.1] at six hours prior to aminophylline administration to 0.6 mls/kg/hr [IQR: 0.2, 1.9] at six hours and 1.6 mls/kg/hr [IQR:0.2, 4.2] at twenty-four hours post aminophylline therapy. The median urine output significantly varied across the age groups over the 24-h time period post-aminophylline, with the most response in the neonates. There was no significant change in serum creatinine levels six hours post-aminophylline administration [109(IQR: 77, 227)—125.5(IQR: 82, 200) micromole/l] P-value = 0.135. However, there were significant age-related changes in creatinine levels at six hours post-aminophylline therapy.

Conclusions
Aminophylline increases urine output in critically ill children with AKI.

Graphical abstract
Strategic product compatibility in network industries
Authors: Buccella Domenico , Fanti Luciano , Gori Luca 
Published: August 2023

AbstractThis article considers a product’s compatibility as a strategic variable in a Cournot duopoly with network consumption externalities. It develops a non-cooperative compatibility decision game (CDG) in which firms choose whether to let products be (in)compatible. With costless compatibility, the unique (Pareto-efficient) sub-game perfect Nash equilibrium (SPNE) of the CDG is universal compatibility. With quasi-fixed compatibility costs, the SPNE depends on whether product compatibility is an endogenous (i.e., a profit-maximising) or exogenous (i.e., given by technical constraints) variable. In the case of endogenous compatibility, the SPNE can vary from one unique to multiple regimes of (in)compatibility, such as the anti-prisoner’s dilemma (deadlock), prisoner’s dilemma, and coordination game. In the case of exogenous compatibility, the SPNE can become an anti-coordination game as well. The article also discusses the welfare outcomes corresponding to the SPNE.
Quantitative analysis of the formation of monodisperse cello-oligomers obtained by phosphoric acid hydrolysis
Authors: Isobe Noriyuki , Ono Yuko , Nishiyama Yoshiharu , Roux Denis , Isogai Akira 
Published: August 2023

AbstractHydrolysis of cellulose in concentrated phosphoric acid is known to give two distinctive mono-disperse cello-oligomers: the degree of polymerization (DP) of 7 and 15. To understand the formation mechanism of monodisperse cello-oligomers, the transition of DP during phosphoric hydrolysis was monitored by size-exclusion chromatography combined with multiangle laser-light scattering analyses (SEC/MALLS). The obtained results suggested that not the hydrolysis at a specific length but random hydrolysis was likely. The rate of hydrolysis slowed down when the DP reached around 40, and the pool of cello-oligomers appeared at the incubation of 35 days. Then, the mono-disperse cello-oligomers were recovered from the pool of cello-oligomers by fractionation based on the solubility difference.
Cobalt-containing borate bioactive glass fibers for treatment of diabetic wound
Authors: Zhang Minhui , Yao Aihua , Ai Fanrong , Lin Jian , Fu Qingge , Wang Deping 
Published: August 2023

AbstractImpaired angiogenesis is one of the predominant reasons for non-healing diabetic wounds. Cobalt is well known for its capacity to induce angiogenesis by stabilizing hypoxia-inducible factor-1α (HIF-1α) and subsequently inducing the production of vascular endothelial growth factor (VEGF). In this study, Co-containing borate bioactive glasses and their derived fibers were fabricated by partially replacing CaO in 1393B3 borate glass with CoO. Fourier transform infrared (FTIR) spectroscopy and nuclear magnetic resonance (NMR) analyses were performed to characterize the effect of Co incorporation on the glass structure, and the results showed that the substitution promoted the transformation of [BO3] into [BO4] units, which endow the glass with higher chemical durability and lower reaction rate with the simulated body fluid (SBF), thereby achieving sustained and controlled Co2+ ion release. In vitro biological assays were performed to assess the angiogenic potential of the Co-containing borate glass fibers. It was found that the released Co2+ ion significantly enhanced the proliferation, migration and tube formation of the Human Umbilical Vein Endothelial Cells (HUVECs) by upregulating the expression of angiogenesis-related proteins such as HIF-1α and VEGF. Finally. In vivo results demonstrated that the Co-containing fibers accelerated full-thickness skin wound healing in streptozotocin (STZ)-induced diabetic rat model by promoting angiogenesis and re-epithelialization.
Graphical Abstract
Outcome of glioblastoma patients after intensive care unit admission with invasive mechanical ventilation: a multicenter analysis
Authors: Neumann Bernhard , Onken Julia , König Nicole , Stetefeld Henning , Luger Sebastian , Luger Anna-Luisa , Schlachetzki Felix , Linker Ralf , Hau Peter , Bumes Elisabeth 
Published: August 2023

Abstract
Purpose
Patients with glioblastoma are exposed to severe symptoms and organs failures (e.g., coma or acute respiratory failure), that may require intensive care unit (ICU) admission and invasive mechanical ventilation (IMV). However, only limited data are available concerning the prognosis of patients with glioblastoma receiving IMV. We sought to describe the reasons for ICU admission, and outcomes of patients with glioblastoma requiring IMV for unplanned critical complications.

Methods
In this retrospective analysis, four certified interdisciplinary brain tumor centers performed a retrospective review of their electronic data systems. All patients with glioblastoma admitted to an in-house ICU and receiving IMV between January 2015 and December 2019 were included. Clinical and prognostic factors as well as relevant outcome parameters were evaluated by group comparisons and Kaplan Meier survival curves.

Results
We identified 33 glioblastoma patients with a duration of IMV of 9.2 ± 9.4 days. Main reasons for ICU admission were infection (n = 12; 34.3%) including 3 cases of Pneumocystis jirovecii pneumonia, status epilepticus (31.4%) and elevated intracranial pressure (22.9%). In-hospital mortality reached 60.6%. Younger age, low number of IMV days, better Karnofsky Performance Status Scale before admission and elevated intracranial pressure as cause of ICU admission were associated with positive prognostic outcome.

Conclusion
We conclude that less than 50% of patients with glioblastoma have a favorable short-term outcome when unplanned ICU treatment with IMV is required. Our data mandate a careful therapy guidance and frequent reassessment of goals during ICU stay.
DFGR: Diversity and Fairness Awareness of Group Recommendation in an Event-based Social Network
Authors: Liang Yuan 
Published: August 2023

AbstractAn event-based social network is a new type of social network that combines online and offline networks, and one of its important problems is recommending suitable activities to users. However, the current research seldom considers balancing the accuracy, diversity and fairness of group activity recommendations. To solve this problem, we propose a group activity recommendation approach that considers fairness and diversity perception. Firstly, we calculate activity similarity based on the context and construct an activity similarity graph. We define the weighted coverage on the similarity graph as a submodular function and transform the problem of fair and diverse group activity recommendation into maximizing the weighted coverage on the similarity graph while considering accuracy, fairness, and diversity. Secondly, we employ a greedy algorithm to find an approximate solution that maximizes the weighted coverage with an approximation ratio. Finally, we conducted experiments on two real datasets and demonstrate the superiority of our method compared to existing approaches. Specifically, in the domain of diversity-based recommendation algorithms, our method achieves a remarkable 0.02% increase in recall rate. Furthermore, in the domain of fairness-based recommendation algorithms, our proposed method outperforms the latest approach by 0.05% in terms of overall metrics. These results highlight the effectiveness of our method in achieving a better balance among accuracy, fairness, and diversity.
A deep reinforcement learning control approach for high-performance aircraft
Authors: De Marco Agostino , D’Onza Paolo Maria , Manfredi Sabato 
Published: August 2023

AbstractThis research introduces a flight controller for a high-performance aircraft, able to follow randomly generated sequences of waypoints, at varying altitudes, in various types of scenarios. The study assumes a publicly available six-degree-of-freedom (6-DoF) rigid aeroplane flight dynamics model of a military fighter jet. Consolidated results in artificial intelligence and deep reinforcement learning (DRL) research are used to demonstrate the capability to make certain manoeuvres AI-based fully automatic for a high-fidelity nonlinear model of a fixed-wing aircraft. This work investigates the use of a deep deterministic policy gradient (DDPG) controller agent, based on the successful applications of the same approach to other domains. In the particular application to flight control presented here, the effort has been focused on the design of a suitable reward function used to train the agent to achieve some given navigation tasks. The trained controller is successful on highly coupled manoeuvres, including rapid sequences of turns, at both low and high flight Mach numbers, in simulations reproducing a prey–chaser dogfight scenario. Robustness to sensor noise, atmospheric disturbances, different initial flight conditions and varying reference signal shapes is also demonstrated.
On computing modified moments for half-range Hermite weights
Authors: Laudadio Teresa , Mastronardi Nicola , Dooren Paul Van 
Published: August 2023

AbstractIn this paper, we consider the computation of the modified moments for the system of Laguerre polynomials on the real semiaxis with the Hermite weight. These moments can be used for the computation of integrals with the Hermite weight on the real semiaxis via product rules. We propose a new computational method based on the construction of the null-space of a rectangular matrix derived from the three-term recurrence relation of the system of orthonormal Laguerre polynomials. It is shown that the proposed algorithm computes the modified moments with high relative accuracy and linear complexity. Numerical examples illustrate the effectiveness of the proposed method.