bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cohort profile: the China surgery and anesthesia cohort (CSAC)
Authors: Yang Lei , Chen Wenwen , Chen Dongxu , He Junhui , Wang Junren , Qu Yuanyuan , Yang Yao , Tang Yuling , Zeng Huolin , Deng Wanxin , Liu Hongxin , Huang Lining , Li Xuze , Du Lei , Liu Jin , Li Qian , Song Huan 
Published: January 2024

AbstractThe China Surgery and Anaesthesia Cohort (CSAC) study was launched in July 2020 and is an ongoing prospective cohort study recruiting patients aged 40–65 years who underwent elective surgeries with general anaesthesia across four medical centres in China. The general objective of the CSAC study is to improve our understanding of the complex interaction between environmental and genetic components as well as to determine their effects on a wide range of interested surgery/anaesthesia-related outcomes. To achieve this goal, we collected enriched phenotypic data, e.g., sociodemographic characteristics, lifestyle factors, perioperative neuropsychological changes, anaesthesia- and surgery-related complications, and medical conditions, at recruitment, as well as through both active (at 1, 3, 7 days and 1, 3, 6, 12 months after surgery) and passive (for more than 1 year after surgery) follow-up assessments. We also obtained omics data from blood samples. In addition, COVID-19-related information was collected from all participants since January 2023, immediately after COVID-19 restrictions were eased in China. As of July 18, 2023, 12,766 participants (mean age = 52.40 years, 57.93% were female) completed baseline data collection (response rate = 94.68%), among which approximately 70% donated blood and hair samples. The follow-up rates within 12 months after surgery were > 92%. Our initial analyses have demonstrated the incidence of and risk factors for chronic postsurgical pain (CPSP) and postoperative cognitive dysfunction (POCD) among middle-aged Chinese individuals, which may prompt further mechanistic exploration and facilitate the development of effective interventions for preventing those conditions. Additional studies, such as genome-wide association analyses for identifying the genetic determinants of CPSP and POCD, are ongoing, and their findings will be released in the future.
The effects of a green monetary policy on firms financing cost
Authors: Bacchiocchi Andrea , Ille Sebastian , Giombini Germana 
Published: January 2024

AbstractThe monetary policy operations of a central bank (CB) involve allocation decisions when purchasing assets and taking collateral. A green monetary policy aims to steer or tilt the allocation of assets and collateral toward low-carbon industries, to reduce the cost of capital for these sectors in comparison to high-carbon ones. Starting from a corporate bonds purchase program (e.g., CSPP) that follows a carbon-neutral monetary policy, we analyze how a shift in the CB portfolio allocation toward bonds issued by low-carbon companies can favor green firms in the market. Relying on optimal portfolio theory, we study how the CB might include the risk related to the environmental sustainability of firms in its balance sheet. In addition, we analyze the interactions between the neutral or green CB re-balancing policy and the evolutionary choice (i.e., by means of exponential replicator dynamics) of a population of firms that can decide to be green or not according to bonds borrowing cost.
Oncostatin M: Dual Regulator of the Skeletal and Hematopoietic Systems
Authors: Sims Natalie A. , Lévesque Jean-Pierre 
Published: January 2024

Abstract
Purpose of the Review
The bone and hematopoietic tissues coemerge during development and are functionally intertwined throughout mammalian life. Oncostatin M (OSM) is an inflammatory cytokine of the interleukin-6 family produced by osteoblasts, bone marrow macrophages, and neutrophils. OSM acts via two heterodimeric receptors comprising GP130 with either an OSM receptor (OSMR) or a leukemia inhibitory factor receptor (LIFR). OSMR is expressed on osteoblasts, mesenchymal, and endothelial cells and mice deficient for the Osm or Osmr genes have both bone and blood phenotypes illustrating the importance of OSM and OSMR in regulating these two intertwined tissues.

Recent Findings
OSM regulates bone mass through signaling via OSMR, adaptor protein SHC1, and transducer STAT3 to both stimulate osteoclast formation and promote osteoblast commitment; the effect on bone formation is also supported by action through LIFR. OSM produced by macrophages is an important inducer of neurogenic heterotopic ossifications in peri-articular muscles following spinal cord injury. OSM produced by neutrophils in the bone marrow induces hematopoietic stem and progenitor cell proliferation in an indirect manner via OSMR expressed by bone marrow stromal and endothelial cells that form hematopoietic stem cell niches. OSM acts as a brake to therapeutic hematopoietic stem cell mobilization in response to G-CSF and CXCR4 antagonist plerixafor. Excessive OSM production by macrophages in the bone marrow is a key contributor to poor hematopoietic stem cell mobilization (mobilopathy) in people with diabetes. OSM and OSMR may also play important roles in the progression of several cancers.

Summary
It is increasingly clear that OSM plays unique roles in regulating the maintenance and regeneration of bone, hematopoietic stem and progenitor cells, inflammation, and skeletal muscles. Dysregulated OSM production can lead to bone pathologies, defective muscle repair and formation of heterotopic ossifications in injured muscles, suboptimal mobilization of hematopoietic stem cells, exacerbated inflammatory responses, and anti-tumoral immunity. Ongoing research will establish whether neutralizing antibodies or cytokine traps may be useful to correct pathologies associated with excessive OSM production.
Silver Nanoparticles Loaded with Oleuropein Reduce Doxorubicin-Induced Testicular Damage by Regulating Endoplasmic Reticulum Stress, and Apoptosis
Authors: Erbaş Elif , Gelen Volkan , Kara Hülya , Gedikli Semin , Yeşildağ Ali , Özkanlar Seçkin , Akarsu Serkan Ali 
Published: January 2024

Abstract
Doxorubicin (DOX) is the most used chemotherapeutic agent for treating solid tumors. DOX treatment may lead to testicular damage using oxidative stress, resulting in infertility. These adverse effects may be prevented by the activation of antioxidant systems.
Oleuropein (OLE) is a powerful flavonoid with several ameliorative effects, including antioxidative, antiproliferative, and anti-inflammatory. It would be more efficient and applicable in treating chronic human diseases if its poor bioavailability improves with a nano-delivery system. The current study aims to assess the histopathological changes and antioxidative effects of OLE loaded with silver nanoparticles oleuropein (OLE-AgNP) on the testicular injury triggered by DOX in rats.
Forty-eight male albino rats were randomly divided into six groups as follows: the control, DOX (2.5 mg/kg), OLE (50 mg/kg), AgNP (100 mg/kg), OLE + AgNP (50 mg/kg), OLE (50 mg/kg) + DOX (2.5 mg/kg), AgNP (100 mg/kg) + DOX (2.5 mg/kg), and OLE-AgNP (50 mg/kg) + DOX (2.5 mg/kg) for 11 days. Oxidative stress, inflammation, apoptosis, endoplasmic reticulum stress markers, sperm analysis, and histopathological analyses were performed on testicular tissues taken from rats decapitated after the applications and compared between the experimental groups. The tissue MDA level was lower in the OLE and OLE+AgNP-treated groups than in the DOX-treated group. In addition, SOD and GSH levels significantly increased in both the OLE and OLE+AgNP-treated groups compared to the DOX group.
Both OLE and OLE+AgNP, particularly OLE+AgNP, ameliorated DOX-induced testicular tissue injury, as evidenced by reduced injury and improved seminiferous tubules and spermatocyte area. In addition, OLE and OLE+AgNP, especially OLE+AgNP, inhibited DOX-induced testicular tissue inflammation, apoptosis, and endoplasmic reticulum stress.
The findings suggest that nanotechnology and the production of OLE+AgNP can ameliorate DOX-induced testicular damage.

Graphical abstract
Challenges to Fundamental Human Rights in the age of Artificial Intelligence Systems: shaping the digital legal order while upholding Rule of Law principles and European values
Authors: Shaelou Stéphanie Laulhé , Razmetaeva Yulia 
Published: January 2024

AbstractRecently, the concept of the ‘European digital legal order’ seems to have gained more importance than the overarching concept of European legal order, of which the former is arguably a modern manifestation. The European legal order traditionally entails a set of fundamental human rights, Rule of Law principles and Democratic values as enshrined in the multinational legal order. From maintaining the Rule of Law derive the sustainability of Democratic values, and freedoms under the law enshrined in fundamental human rights. To the extent that the European digital legal order is the manifestation of the European legal order in the modern digital world, the fundamental question of the nature, scope and upholding of fundamental human rights, Rule of Law principles and Democratic values remains. Without disputing the need for digital transformation and its proper regulation, this paper will turn its attention to the current status of fundamental principles in the modern setting of democratic societies.Artificial Intelligence or Artificial Intelligence Systems are technologies that have and will have a serious impact on the European legal order at large. Without dismissing the value of a human-centered regulatory approach in the field of AI, in this paper we discuss why this may be difficult as digitisation and algorithmisation deepen. This paper reviews the regulatory framework of AI and proposes potential new/renewed/modernised rights that should enhance and/or supplement the current catalogue of fundamental human rights, as contained inter alia in the EU Charter and the ECHR. This paper also argues that regulatory standards regarding AI should be clearer and stronger as well as suggests a new wording of some standards. The particular new rights and/or their new wording will be suggested in the paper.
Competence or morality? Investigating how psychological distance moderates individuals’ attitudes toward organizations’ behavioral ambivalence
Authors: Hung Yi-Sheng , Lo Shih-Yu 
Published: January 2024

AbstractConstrual level theory (CLT) asserts that far psychological distances trigger abstract thoughts, whereas near psychological distances trigger concrete thoughts. Moreover, according to CLT, consumers prioritize the abstract perspective (e.g., the moral perspective) of an organization that is perceived to be distant. Thus, a moral-but-incompetent organization is favored over a competent-but-immoral one, although this trend reverses for an organization that is perceived to be near. Such an assertion has been corroborated by a previous study, albeit only with regard to the temporal and social dimensions of psychological distance. Therefore, the present study experimentally tested the other two dimensions of psychological distance—namely, the spatial dimension and the hypothetical dimension. The results revealed that the participants prioritized an organization’s moral performance over its competence in relation to a spatially distant organization, although the order of prioritization was reversed for a spatially near organization. By contrast, the participants’ prioritization of an organization’s moral or competence performance did not vary between the hypothetically near and hypothetically far conditions. These findings provide insights relevant to the development of an organization’s public relations and communications strategies concerning consumers.
Modelling the effect of context-specific greenhouse gas and nitrogen emission mitigation options in key European dairy farming systems
Authors: Díaz de Otálora Xabier , del Prado Agustín , Dragoni Federico , Balaine Lorraine , Pardo Guillermo , Winiwarter Wilfried , Sandrucci Anna , Ragaglini Giorgio , Kabelitz Tina , Kieronczyk Marek , Jørgensen Grete , Estellés Fernando , Amon Barbara 
Published: January 2024

AbstractUnderstanding the environmental consequences associated with dairy cattle production systems is crucial for the implementation of targeted strategies for emission reduction. However, few studies have modelled the effect of tailored emission mitigation options across key European dairy production systems. Here, we assess the single and combined effect of six emission mitigation practises on selected case studies across Europe through the Sustainable and Integrated Management System for Dairy Production model. This semi-mechanistic model accounts for the interacting flows from a whole-farm perspective simulating the environmental losses in response to different management strategies and site-specific conditions. The results show how reducing the crude protein content of the purchased fraction of the diet was an adequate strategy to reduce the greenhouse gas and nitrogen emission intensity in all systems. Furthermore, implementing an anaerobic digestion plant reduced the greenhouse gas emissions in all tested case studies while increasing the nitrogen emissions intensity, particularly when slurry was applied using broadcast. Regarding the productivity increase, contrasting effects were observed amongst the case studies modelled. Moreover, shallow slurry injection effectively mitigated the intensity of nitrogen losses from the fields due to strong reductions in ammonia volatilisation. When substituting urea with ammonium nitrate as mineral fertiliser, site-specific conditions affected the mitigation potential observed, discouraging its application on sandy-loam soils. Rigid slurry covers effectively reduced the storage-related nitrogen emissions intensity while showing a minor effect on total greenhouse gas emission intensity. In addition, our results provide novel evidence regarding the advantages of cumulative implementation of adapted mitigation options to offset the negative trade-offs of single-option applications (i.e. slurry covers or anaerobic digestion and slurry injection). Through this study, we contribute to a better understanding of the effect of emission mitigation options across dairy production systems in Europe, thus facilitating the adoption of tailored and context-specific emission reduction strategies.
Communicability cosine distance: similarity and symmetry in graphs/networks
Authors: Estrada Ernesto 
Published: January 2024

AbstractA distance based on the exponential kernel of the adjacency matrix of a graph and representing how well two vertices connect to each other in a graph is defined and studied. This communicability cosine distance (CCD) is a Euclidean spherical distance accounting for the cosine of the angles spanned by the position vectors of the graph vertices in this space. The Euclidean distance matrix (EDM) of CCD is used to quantify the similarity between vertices in graphs and networks as well as to define a local vertex invariant—a closeness centrality measure, which discriminate very well vertices in small graphs. It allows to distinguish all nonidentical vertices, also characterizing all identity (asymmetric) graphs–those having only the identity automorphism–among all connected graphs of up to 9 vertices. It also characterizes several other classes of identity graphs. We also study real-world networks in term of both the discriminating power of the new centrality on their vertices as well as in ranking their vertices. We analyze some dictionary networks as well as the network of copurshasing of political books, remarking some of the main advantages of the new approaches studied here.
Selection of landslide treatment alternatives based on LSGDM method of TWD and IFS
Authors: Liu Fang , Zhou Zhongli , Wu Jin , Liu Chengxi , Liu Yi 
Published: January 2024

AbstractThe disaster caused by landslide is huge. To prevent the spread of the disaster to the maximum extent, it is particularly important to carry out landslide disaster treatment work. The selection of landslide disaster treatment alternative is a large scale group decision-making (LSGDM) problem. Because of the wide application of social media, a large number of experts and the public can participate in decision-making process, which is conducive to improving the efficiency and correctness of decision-making. A IF-TW-LSGDM method based on three-way decision (TWD) and intuitionistic fuzzy set (IFS) is proposed and applied to the selection of landslide treatment alternatives. First of all, considering that experts and the public participate in the evaluation of LSGDM events, respectively, the method of obtaining and handling the public evaluation information is given, and the information fusion approach of the public and experts evaluation information is given. Second, evaluation values represented by fuzzy numbers are converted into intuitionistic fuzzy numbers (IFNs), and the intuitionistic fuzzy evaluation decision matrix described by IFNs is obtained. Then, a new LSGDM method of alternatives classification and ranking based on IFS and TWD is proposed, the calculation steps and algorithm description are given. In this process, we first cluster the experts, then consider the identification and management of non-cooperative behavior of expert groups. This work provides an effective method based on LSGDM for the selection of landslide treatment alternatives. Finally, the sensitivity of parameters is analyzed, and the feasibility and effectiveness of this method are compared and verified.
Microscopic traffic models, accidents, and insurance losses
Authors: Kim Sojung , Kleiber Marcel , Weber Stefan 
Published: January 2024

AbstractThe paper develops a methodology to enable microscopic models of transportation systems to be accessible for a statistical study of traffic accidents. Our approach is intended to permit an understanding not only of historical losses but also of incidents that may occur in altered, potential future systems. Through such a counterfactual analysis, it is possible, from an insurance, but also from an engineering perspective, to assess the impact of changes in the design of vehicles and transport systems in terms of their impact on road safety and functionality.Structurally, we characterize the total loss distribution approximatively as a mean-variance mixture. This also yields valuation procedures that can be used instead of Monte Carlo simulation. Specifically, we construct an implementation based on the open-source traffic simulator SUMO and illustrate the potential of the approach in counterfactual case studies.
Clinical trials landscape in a lower-middle-income country (Pakistan)
Authors: Mumtaz Hassan , Haider Syed Muhammad Ali , Neha Fnu , Saqib Muhammad , Nadeem Abdullah , Fahim Ammad , Allahuddin Zoha 
Published: January 2024

Abstract
In recent times, there have been calls from within the developing nations for increased ownership by governmental research bodies and universities of the priority research setting and research that aligns with national health strategies. This is a review paper of the studies that have been published on clinical trials in developing countries, with a focus mainly on Pakistan. The literature review used online databases such as PubMed, Scopus, and Google Scholar, World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP), and ClinicalTrials.gov trial registries to search for clinical trials conducted in Pakistan between January 2000 and December 2022 and analyzed. The results revealed that clinical research in Pakistan is hindered by a number of barriers, including a lack of funding, skilled personnel, and regulatory issues. Lack of funding is a common obstacle, and the majority of funding for clinical trials originates from Western countries or pharmaceutical companies established in the West. In conclusion, clinical studies in developing countries, especially in Pakistan, are hindered by a plethora of barriers, and to improve the current state, increasing funding, streamlining ethical approval procedures, simplifying regulatory systems, addressing cultural and religious concerns, and participating in global efforts to bridge the gap in health-based research are crucial.
Spectres of European money and Stefan Eich’s Currency of Politics
Authors: Roufos Pavlos 
Published: January 2024

AbstractThis paper aims at discussing the historical trajectory of European money and the way it can be illuminated through a dialogue with Stefan Eich’s The Currency of Politics. Fleshing out the different theories, visions, and conceptualisations of money in Eich’s book, this paper utilises this exposition to evaluate the development and operationalisation of European money. With an eye to contemporary debates about the re-politicisation or democratisation of money, the paper will critically assess the way in which Eich’s account can be used as a framework to explain European money.
Party-System Polarization and Individual Perceptions of Party Differences: Two Divergent Effects on Turnout
Authors: Rossteutscher Sigrid , Stövsand Lars-Christopher 
Published: January 2024

AbstractIn this article, we argue that party-system polarization and subjective perceptions of ideological party differences are conceptually and empirically distinct phenomena that affect electoral participation differently. Looking at 84 elections worldwide, we show that party-system polarization, and the sharp conflicts associated with it, depresses turnout because many citizens are put off by extreme party positions and unrewarding polemics. By contrast, the individual perception of differences between parties increases turnout because more citizens can find a party that is close to their own position and identify others as being further away. These opposite effects are possible because party-system polarization leads only some individuals to perceive differences between parties but leads others to avoid the emotionalized political arena. Moreover, individuals' ability to recognize differences between parties is not necessarily a consequence of party-system polarization. The contradictory findings in previous research are due to a conceptual and empirical blurring of these two essentially different aspects.