bluuebunny/crossref_metadata_2025_split huggingface dataset:
T-cell Cholesterol Accumulation, Aging, and Atherosclerosis
Authors: Bazioti Venetia , Halmos Benedek , Westerterp Marit 
Published: July 2023

Abstract
Purpose of Review
The majority of leukocytes in advanced human atherosclerotic plaques are T-cells. T-cell subsets exert pro- or anti-atherogenic effects largely via the cytokines they secrete. Tregulatory cells (Tregs) are anti-inflammatory, but may lose these properties during atherosclerosis, proposed to be downstream of cholesterol accumulation. Aged T-cells also accumulate cholesterol. The effects of T-cell cholesterol accumulation on T-cell fate and atherosclerosis are not uniform.

Recent findings
T-cell cholesterol accumulation enhances differentiation into pro-atherogenic cytotoxic T-cells and boosts their killing capacity, depending on the localization and extent of cholesterol accumulation. Excessive cholesterol accumulation induces T-cell exhaustion or T-cell apoptosis, the latter decreasing atherosclerosis but impairing T-cell functionality in terms of killing capacity and proliferation. This may explain the compromised T-cell functionality in aged T-cells and T-cells from CVD patients.

Summary
The extent of T-cell cholesterol accumulation and its cellular localization determine T-cell fate and downstream effects on atherosclerosis and T-cell functionality.
Glucose-dependent inflammatory responses in obese compared to lean individuals
Authors: Lundqvist Martin H. , Pereira Maria J. , Eriksson Jan W. 
Published: July 2023

Abstract
Purpose
Obesity is characterized by chronic inflammation that may contribute to insulin resistance and promote type 2 diabetes. We have investigated whether inflammatory responses to glycemic and insulinemic variations are altered in obese individuals.

Methods
Eight obese and eight lean individuals without diabetes had undergone hyperinsulinemic-euglycemic-hypoglycemic and hyperglycemic clamps in a previous study. Using Proximity Extension Assay, 92 inflammatory markers were analyzed from plasma samples at fasting, hyperinsulinemia-euglycemia, hypoglycemia and hyperglycemia.

Results
In all participants, hyperinsulinemia, hypoglycemia and hyperglycemia led to reductions of 11, 19 and 62 out of the 70 fully evaluable biomarkers, respectively. FGF-21 increased during both hypoglycemia and hyperglycemia while IL-6 and IL-10 increased during hypoglycemia. In obese vs lean participants, Oncostatin-M, Caspase-8 and 4E-BP1 were more markedly suppressed during hypoglycemia, whereas VEGF-A was more markedly suppressed during hyperglycemia. BMI correlated inversely with changes of PD-L1 and CD40 during hyperinsulinemia, Oncostatin-M, TNFSF14, FGF-21 and 4EBP-1 during hypoglycemia and CCL23, VEGF-A and CDCP1 during hyperglycemia (Rho ≤ -0.50). HbA1c correlated positively with changes of MCP-2 and IL-15-RA during hyperinsulinemia (Rho ≥ 0.51) and inversely with changes of CXCL1, MMP-1 and Axin-1 during hypoglycemia (Rho ≤ -0.55). M-value correlated positively with changes of IL-12B and VEGF-A during hyperglycemia (Rho ≥ 0.51). Results above were significant (p < 0.05).

Conclusion
Overall, hyperinsulinemia, hypo- and hyperglycemia led to suppression of several inflammatory markers and this tended to be more marked in individuals with obesity, insulin resistance and dysglycemia. Thus, acute glycemic or insulinemic variations do not seem to potentiate possible inflammatory pathways in the development of insulin resistance and disturbed glucose metabolism.
Heritability of morphological and behavioural traits in evolving robots
Authors: De Carlo Matteo , Ferrante Eliseo , Zeeuwe Daan , Ellers Jacintha , Eiben A. E. 
Published: July 2023

AbstractIn the field of evolutionary robotics, choosing the correct genetic representation is a complicated and delicate matter, especially when robots evolve behaviour and morphology at the same time. One principal problem is the lack of methods or tools to investigate and compare representations. In this paper we introduce and evaluate such a tool based on the biological notion of heritability. Heritability captures the proportion of phenotypic variation caused by genotypic variation and is often used to better understand the transmissibility of traits in real biological systems. As a proof of concept, we compare the heritability of various robot traits in two systems, one using a direct (tree based) representation and one using an indirect (grammar based) representation. We measure changes in heritability during the course of evolution and investigate how direct and indirect representation can be biased towards more exploration or exploitation throughout the course of evolution. The empirical study shows that heritability can be a useful tool to analyze different representations without running complete evolutionary processes using them.
Glioblastoma research on zebrafish xenograft models: a systematic review
Authors: Pliakopanou Alexandra , Antonopoulos Ilias , Darzenta Nikolia , Serifi Iliana , Simos Yannis Vasilios , Katsenos Andreas Panagiotis , Bellos Stefanos , Alexiou George Athanasios , Kyritsis Athanasios Petros , Leonardos Ioannis , Vezyraki Patra , Peschos Dimitrios , Tsamis Konstantinos Ioannis 
Published: July 2023

AbstractGlioblastoma (GBM) constitutes the most common primary brain tumor in adults. The challenges in GBM therapeutics have shed light on zebrafish used as a promising animal model for preclinical GBM xenograft studies without a standardized methodology. This systematic review aims to summarize the advances in zebrafish GBM xenografting, compare research protocols to pinpoint advantages and underlying limitations, and designate the predominant xenografting parameters. Based on the PRISMA checklist, we systematically searched PubMed, Scopus, and ZFIN using the keywords “glioblastoma,” “xenotransplantation,” and “zebrafish” for papers published from 2005 to 2022, available in English. 46 articles meeting the review criteria were examined for the zebrafish strain, cancer cell line, cell labeling technique, injected cell number, time and site of injection, and maintenance temperature. Our review designated that AB wild-type zebrafish, Casper transparent mutants, transgenic Tg(fli1:EGFP), or crossbreeding of these predominate among the zebrafish strains. Orthotopic transplantation is more commonly employed. A number of 50–100 cells injected at 48 h post-fertilization in high density and low infusion volume is considered as an effective xenografting approach. U87 cells are used for GBM angiogenesis studies, U251 for GBM proliferation studies, and patient-derived xenograft (PDX) to achieve clinical relevance. Gradual acclimatization to 32–33 °C can partly address the temperature differential between the zebrafish and the GBM cells. Zebrafish xenograft models constitute valuable tools for preclinical studies with clinical relevance regarding PDX. The GBM xenografting research requires modification based on the objective of each research team. Automation and further optimization of the protocol parameters could scale up the anticancer drug trials.
Rapid identification of endometrial hyperplasia and endometrial endometrioid cancer in young women
Authors: Kuai Dan , Tang Qingtao , Tian Wenyan , Zhang Huiying 
Published: July 2023

Abstract
Purpose
We investigated endometrial hyperplasia (EH) and endometrial endometrioid cancer (EEC) and developed a nomogram model to predict the EH/EEC risk and improve patients’ clinical prognosis.

Methods
Data were collected from young females (age: ≤ 40 years) who complained of abnormal uterine bleeding (AUB) or abnormal ultrasound endometrial echoes. The patients were randomly divided into training and validation cohorts at a 7:3 ratio. The risk factors for EH/EEC were determined through the optimal subset regression analysis and a prediction model was developed. We used the concordance-index (C-index), and calibration plots in the training and validation sets to assess the prediction model. We drew the ROC curve in the validation set and calculated the area under the curve (AUC), as well as its accuracy, sensitivity, specificity, negative predictive value, and positive predictive value, and finally, converted the nomogram into a web page dynamic nomogram.

Results
Predictors included in the nomogram model were body mass index (BMI), polycystic ovary syndrome (PCOS), anemia, infertility, menostaxis, AUB type, and endometrial thickness. The C-index of the model in the training and validation sets were 0.863 and 0.858. The nomogram model had good discriminatory power and was well-calibrated. According to the prediction model, the AUC of EH/EC, EH without atypia, and AH/EC were 0.889, 0.867, and 0.956, respectively.

Conclusions
The nomogram of EH/EC is significantly associated with risk factors, namely BMI, PCOS, anemia, infertility, menostaxis, AUB type, and endometrial thickness. The nomogram model can be used to predict the EH/EC risk and rapidly screen risk factors in a women population with high risk.
Real-time in vivo dose measurement using ruby-based fibre optic dosimetry during internal radiation therapy
Authors: Birajdar S. , Zhang W. , Santos A. , Hickson K. , Afshar Vahid S. 
Published: July 2023

AbstractIn vivo dosimetry (IVD) in a commonly used liver cancer treatment of selective internal radiation therapy (SIRT) has been done based on the post-treatment image-based dosimetry approach. Real-time IVD is necessary to verify the dose delivery and detect errors during the treatment for better patient outcomes. This study aims to develop a fibre optic dosimeter (FOD) for in vivo real-time dose rate measurement during internal beta radiation therapy, e.g., SIRT. A ruby fibre optic probe was prepared and studied the radioluminescence (RL) characteristics, including its major challenge of stem effect arising from Cherenkov radiation and luminescence from the irradiated fibre. The stem signal was suppressed adequately using the stem removal technique of optical filtering, and only 2.3 ± 1.1% stem signal was contributed to the measured RL signal. A linear dose rate response was observed during the exposure of the ruby probe to varying dose rates using a 6 MeV electron beam and a positron-emitting radionuclide fluorine-18. The ruby exhibited a temporally non-constant RL signal, which increased the RL signal by 0.84 ± 0.29 counts/sec2 during the irradiation of the maximum dose rate used in this study of 9 Gy/min for 2 min. The ability of ruby FOD to measure the absolute dose rate with sufficient stem effect suppression and the linear RL dose rate response indicates its suitability for real-time IVD during internal beta radiation therapy. Future work will investigate the time-dependent RL characteristic of ruby and validate post-treatment image-based dosimetry using ruby-based FOD.
Validated and selective potentiometric analysis of anti-coagulant edoxaban via a screen-printed electrode: green assessment by Eco-Scale and Complex-GAPI
Authors: Rizk Mohamed , Abou El-Alamin Maha Mahmoud , Abd Elkhalek Ola , Shallan Aliaa I. 
Published: July 2023

AbstractThromboembolism because of coronavirus infection (COVID-19) resulted in increasing the number of sudden deaths after recovery. So, patients were switched to edoxaban tosylate monohydrate (EDTM) therapy after low molecular weight heparin to shorten the hospitalization period. In response to increase the demand for EDTM, we developed a home-made screen-printed electrode to determine EDTM in its pure form and pharmaceutical dosage form. Optimized conditions were achieved with a screen-printed electrode utilizing EDTM-Phosphotungstic acid (EDTM-PTA) as an ion pair complex and a plasticizer dibutyl phthalate with a Nernstian slope of 58.78 ± 0.1 mV decade−1 at the concentrations ranging from 5.0 × 10–6 to 1.0 × 10–2 M EDTM (R2 = 0.9985). The detection limit was 4.3 × 10–6 M. Our method was proven to be eco-friendly after assessment by Eco-Scale and Complex-GAPI. The results obtained were validated according to ICH guidelines and were found to agree with those gained from the reference method.
The regulation of threshold levels for prohibited substances in the world anti-doping program
Authors: Duffy James , Henderson Therese , O’Brien John 
Published: July 2023

AbstractTechnological advancements in the equipment and laboratories used by anti-doping bodies means that minute levels of prohibited substances can be detected in an athlete's blood or urine. This had led to an increase in athletes testing positive for prohibited substances where the quantity of that substance in the athlete's sample is very low. This article will consider the role that decision limits and minimum reporting levels play with respect to prohibited substances identified in the World Anti-Doping Program. Recent CAS awards are analyzed to determine whether, and how, the issue of threshold requirements for prohibited substances should be further regulated.
The association of dietary approaches to stop hypertension (DASH) and Mediterranean diet with mental health, sleep quality and chronotype in women with overweight and obesity: a cross-sectional study
Authors: Shiraseb Farideh , Mirzababaei Atieh , Daneshzad Elnaz , Khosravinia Darya , Clark Cain C. T. , Mirzaei Khadijeh 
Published: July 2023

Abstract
Purpose
Mental and sleep disorders are global public health problems, especially in Middle Eastern countries, and are significantly associated with circadian rhythm. This study sought to investigate the association between the dietary approaches to stop hypertension (DASH) and Mediterranean diet scores and mental health, sleep quality, and circadian rhythm.

Methods
We enrolled 266 overweight and obese women, and depression, anxiety, and stress scale (DASS) score, Pittsburgh Sleep Quality Index (PSQI), and Morning–Evening Questionnaire (MEQ), were assessed. The Mediterranean and DASH diet score was measured using a validated semi-quantitative Food Frequency Questionnaire (FFQ). The physical activity was evaluated using the International Physical Activity Questionnaire (IPAQ). Analysis of variance and analysis of covariance, chi-square, and multinomial logistic regression tests were used as appropriate.

Results
Our results showed that there was a significant inverse association between adherence to the Mediterranean diet and mild and moderate anxiety scores (p < 0.05). In addition, there was an inverse association between adherence to the DASH diet and the risk of severe depression and extremely severe stress scores (p < 0.05). Moreover, higher adherence to both dietary scores was associated with good sleep quality (p < 0.05). There was a significant relationship between circadian rhythm and the DASH diet (p < 0.05).

Conclusion
A significant association exists between a DASH and Mediterranean diet with sleep status, mental health, and chronotype in women of childbearing age with obesity and overweight.

Level of evidence
Level V, Cross-sectional observational study.
Efficacy of osteoporosis pharmacological treatments in men: a systematic review and meta-analysis
Authors: Beaudart Charlotte , Demonceau Céline , Sabico Shaun , Veronese Nicola , Cooper Cyrus , Harvey Nicholas , Fuggle Nicholas , Bruyère Olivier , Rizzoli René , Reginster Jean-Yves 
Published: July 2023

Abstract
Introduction
The objective of this systematic review and meta-analysis is to systematically identify and review the efficacy of pharmacological treatments in men with osteoporosis.

Methods
Medline (via Ovid) and Cochrane CENTRAL were searched up to May 2023 for any randomized controlled trial (RCT) evaluating the efficacy of osteoporotic treatment on the evolution of Bone Mineral Density (BMD) and incidence of fractures of men suffering from primary osteoporosis. If at least two studies used the same pharmacological treatment and evaluated the same outcome, a random effect model meta-analysis was applied to reported pooled mean difference (MD) and 95% confidence interval (CI).

Results
From the 1,061 studies identified through bibliographic search, 21 RCTs fitted the inclusion criteria. Bisphosphonates (k = 10, n = 2992 men with osteoporosis) improved all three BMD sites compared to placebo; lumbar spine: MD + 4.75% (95% CI 3.45, 6.05); total hip: MD + 2.72% (95% CI 2.06; 3.37); femoral neck: MD + 2.26% (95% CI 1.67; 2.85). Denososumab (k = 2, n = 242), Teriparatide (k = 2, n = 309) and Abaloparatide (k = 2, n = 248) also produced significant improvement of all sites BMD compared to placebo. Romosozumab was only identified in one study and was therefore not meta-analysed. In this study, Romosozumab increased significantly BMD compared to placebo. Incident fractures were reported in 16 RCTs but only four reported fractures as the primary outcome. Treatments were associated with a lower incidence of fractures.

Conclusions
Medications used in the management of osteoporosis in women appear to provide similar benefits in men with osteoporosis. Therefore, the algorithm for the management of osteoporosis in men could be similar to the one previously recommended for the management of osteoporosis in women.
A strategy for lightweight designing of a railway vehicle car body including composite material and dynamic structural optimization
Authors: Cascino Alessio , Meli Enrico , Rindi Andrea 
Published: July 2023

AbstractRolling stock manufacturers are finding structural solutions to reduce power required by the vehicles, and the lightweight design of the car body represents a possible solution. Optimization processes and innovative materials can be combined in order to achieve this goal. In this framework, we propose the redesign and optimization process of the car body roof for a light rail vehicle, introducing a sandwich structure. Bonded joint was used as a fastening system. The project was carried out on a single car of a modern tram platform. This preliminary numerical work was developed in two main steps: redesign of the car body structure and optimization of the innovated system. Objective of the process was the mass reduction of the whole metallic structure, while the constraint condition was imposed on the first frequency of vibration of the system. The effect of introducing a sandwich panel within the roof assembly was evaluated, focusing on the mechanical and dynamic performances of the whole car body. A mass saving of 63% on the optimized components was achieved, corresponding to a 7.6% if compared to the complete car body shell. In addition, a positive increasing of 17.7% on the first frequency of vibration was observed. Encouraging results have been achieved in terms of weight reduction and mechanical behaviour of the innovated car body.
Adversarial attacks on cooperative multi-agent deep reinforcement learning: a dynamic group-based adversarial example transferability method
Authors: Zan Lixia , Zhu Xiangbin , Hu Zhao-Long 
Published: July 2023

AbstractExisting research shows that cooperative multi-agent deep reinforcement learning (c-MADRL) is vulnerable to adversarial attacks, and c-MADRL is increasingly being applied to safety-critical domains. However, the robustness of c-MADRL against adversarial attacks has not been fully studied. In the setting of c-MADRL, unlike the single-agent scenario, an adversary can attack multiple agents or all agents at each time step, but the attacker needs more computation to generate adversarial examples and will be more easily detected. Therefore, how the attacker chooses one or several agents instead of all agents to attack is a significant issue in the setting of c-MADRL. Aiming to address this issue, this paper proposes a novel adversarial attack approach, which dynamically groups the agents according to relevant features and selects a group to attack based on the group’s contribution to the overall reward, thus effectively reducing the cost and number of attacks, as well as improving attack efficiency and decreasing the chance of attackers being detected. Moreover, we exploit the transferability of adversarial examples to greatly reduce the computational cost of generating adversarial examples. Our method is tested in multi-agent particle environments (MPE) and in StarCraft II. Experimental results demonstrate that our proposed method can effectively degrade the performance of multi-agent deep reinforcement learning algorithms with fewer attacks and lower computational costs.
Towards a Better Understanding of Fractional Brownian Motion and Its Application to Finance
Authors: Zhuang Yuanying , Song Xiao 
Published: July 2023

AbstractThe aim of this work is to first build the underlying theory behind fractional Brownian motion and applying fractional Brownian motion to financial market. By incorporating the Hurst parameter into geometric Brownian motion in order to characterize the long memory among disjoint increments, geometric fractional Brownian motion model is constructed to model S &P 500 stock price index. The empirical results show that the fitting effect of fractional Brownian motion model is better than ordinary Brownian motion.
The Will-to-Live among Adult Workers
Authors: Neto Joana , Neto Félix 
Published: July 2023

Abstract
The will-to-live is a specific indicator of subjective well-being. This article aimed to test the psychometric features of the Will-to-Live Scale (WTLS) for adult workers, and the relations of different psycho-social variables with will-to-live. The sample included 402 full-time workers, aged between 18 and 65 years. Confirmatory factor analysis revealed that the one-dimensional model of the WTLS is good. Measurement invariance by gender and reliability were adequate. Subsequent analysis showed that the WTLS scores were significantly and negatively related to workplace loneliness, and positively associated with self-esteem and satisfaction with life. Satisfaction with job life was linked to increased will-to-live. Psychological measures accounted for a larger proportion of the explained variance in WTLS than the demographic measures.
Granger causality-based cluster sequence mining for spatio-temporal causal relation mining
Authors: Pavasant Nat , Morita Takashi , Numao Masayuki , Fukui Ken-ichi 
Published: July 2023

AbstractWe proposed a method to extract causal relations of spatial clusters from multi-dimensional event sequence data, also known as a spatio-temporal point process. The proposed Granger cluster sequence mining algorithm identifies the pairs of spatial data clusters that have causality over time with each other. It extended the cluster sequence mining algorithm, which utilized a statistical inference technique to identify the occurrence relation, with a causality inference based on the Granger causality. In addition, the proposed method utilizes a false discovery rate procedure to control the significance of the causality. Based on experiments on both synthetic and semi-real data, we confirmed that the algorithm is able to extract the synthetic causal relations from multiple different sets of data, even when disturbed with high level of spatial noise. False discovery rate procedure also helps to increase the accuracy even more under such case and also make the algorithm less-sensitive to the hyperparameters.