bluuebunny/crossref_metadata_2025 huggingface dataset:
Association of ulcerative colitis and acute gastroenteritis with prostate specific antigen: results from National Health and Nutrition Examination Survey from (2009 to 2010) and Mendelian randomization analyses
Authors: Li Hongxiao , Zheng Jiefang , Dong Weimin , Huang Yiqiao , Su Zhengming , Jiang Xianhan
Published: December 2023

Background

An increasing number of studies have demonstrated that gastrointestinal inflammation may increase prostate cancer risk and raise the prostate-specific antigen (PSA) level. However, the association between ulcerative colitis (UC) and acute gastroenteritis (AGE) with PSA remains unclear and complicated. Herein, we evaluated the relationship between UC and AGE with PSA concentration using the National Health and Nutrition Examination Survey (NHANES) database and Mendelian randomization (MR) analyses.

Materials and methods

A total of 1,234 participants fit into the study after conducting the screening based on the NHANES survey conducted from 2009 to 2010. UC and AGE were the independent variables, and PSA was the dependent variable. Weighted multiple linear regressions were utilized to estimate the association of UC and AGE with PSA concentration. To detect the causal relationship between UC and AGE with PSA, a two-sample Mendelian randomized analysis was conducted.

Results

After controlling for all covariates, PSA (log2 transform) concentrations in the UC group were increased by 0.64 (0.07, 1.21). AGE was not independently associated with PSA levels after adjusting potential confounders. In patients with coronary artery disease, AGE promotes elevated PSA (log2 transform) concentrations (β = 1.20, 95% CI: 0.21–2.20, p < 0.001). Moreover, an IVW MR analysis indicated that genetically predicted UC was associated with increased PSA, and that AGE was not associated with PSA.

Conclusion

This study indicated that a positive causal association exists between UC and the PSA level. However, there is no evidence to support the relationship between AGE and the PSA level.
PD-L1 expression complements CALGB prognostic scoring system in malignant pleural mesothelioma
Authors: Avilés-Salas Alejandro , Cabrera-Miranda Luis , Hernández-Pedro Norma , Vargas-Lías Diana Sofía , Samtani Suraj , Muñoz-Montaño Wendy , Motola-Kuba Daniel , Corrales-Rodríguez Luis , Martín Claudio , Cardona Andrés F. , Palomares-Palomares Cittim B. , Arrieta Oscar
Published: December 2023

Background

Programmed death ligand-1 (PD-L1) expression is a predictive biomarker in patients with lung cancer, but its role in malignant pleural mesothelioma (MPM) remains unclear. Evidence suggests that higher PD-L1 expression is correlated with worse survival. CALGB is the main scoring system used to predict the benefit of chemotherapy treatment. This study aimed to determine the prognostic value of PD-L1 expression and its addition to CALGB scoring system in patients with MPM.

Methods

In this retrospective analysis, we evaluated samples with confirmed locally advanced or metastatic MPM. PD-L1 Tumor Proportional Score (TPS) was determined by immunohistochemistry at diagnosis.

Results

73 patients were included in this study. A cutoff value of 15 was set for a high or low PD-L1 TPS. In total, 71.2% (n=52) and 28.8% (n=21) of individuals harbored low or high PD-L1 expression, respectively. PD-L1High was associated with worse median progression-free Survival (mPFS) [4.9 vs. 10.8 months; HR 2.724, 95% CI (1.44-5.14); p = 0.002] and Overall Survival (OS) [6.0 vs. 20.9 months; HR 6.87, 95% CI (3.4-8.7); p<0.001] compared to patients with PD-L1Low. Multivariate analysis confirmed that PD-L1 expression was an independent factor for PFS and OS in patients with MPM and CALGB score of 5-6.

Conclusion

PD-L1 addition to CALGB scale improves its prognostic estimation of MPM survival and should be considered in future research.
One more rep! The case for resistance training in young cancer survivors
Authors: Lakicevic Nemanja , Ficarra Salvatore , Ortega-Gómez Sonia , Jiménez-Pavón David , Asimakopoulou Zoi , Vantarakis Apostolos , Tavares Paula , Vaz Vasco , Thaller Joshua , Papakonstantinou Sofia , Kirkar Musa , Glorioso Francesca , Palma Antonio , Bianco Antonino
Published: December 2023

Resistance training is now seen as a powerful tool to improve the health and functionality of cancer survivors. Literature shows that it can be implemented both during and after cancer treatment, with the intent of preserving muscle mass in the former and increasing muscle mass in the latter case. However, currently available data on this matter are predominantly derived from adult cancer survivors (ACS), and it is questionable whether the exact same raining regimen should be implemented in young cancer survivors (YCS) given the unique challenges they experience throughout their disease trajectory. Therefore, the goal of this work is to distill the existing evidence on resistance training (RT) interventions in ACS and facilitate discussion on whether the same patterns of RT can be applied in YCS.
Polyadenosine diphosphate-ribose polymerase inhibitors: advances, implications, and challenges in tumor radiotherapy sensitization
Authors: Zhang Yi , Liang Lijie , Li Zheng , Huang Ying , Jiang Ming , Zou Bingwen , Xu Yong
Published: December 2023

Polyadenosine diphosphate-ribose polymerase (PARP) is a key modifying enzyme in cells, which participates in single-strand break repair and indirectly affects double-strand break repair. PARP inhibitors have shown great potential in oncotherapy by exploiting DNA damage repair pathways, and several small molecule PARP inhibitors have been approved by the U.S. Food and Drug Administration for treating various tumor types. PARP inhibitors not only have significant antitumor effects but also have some synergistic effects when combined with radiotherapy; therefore they have potential as radiation sensitizers. Here, we reviewed the advances and implications of PARP inhibitors in tumor radiotherapy sensitization. First, we summarized the multiple functions of PARP and the mechanisms by which its inhibitors exert antitumor effects. Next, we discuss the immunomodulatory effects of PARP and its inhibitors in tumors. Then, we described the theoretical basis of using PARP inhibitors in combination with radiotherapy and outlined their importance in oncological radiotherapy. Finally, we reviewed the current challenges in this field and elaborated on the future applications of PARP inhibitors as radiation sensitizers. A comprehensive understanding of the mechanism, optimal dosing, long-term safety, and identification of responsive biomarkers remain key challenges to integrating PARP inhibition into the radiotherapy management of cancer patients. Therefore, extensive research in these areas would facilitate the development of precision radiotherapy using PARP inhibitors to improve patient outcomes.
Impact of early heparin therapy on outcomes in patients with solid malignancy associated sepsis: a marginal structural model causal analyse
Authors: Huang Jia-jia , Cai Ji-zhen , Zhou Zhi-peng , Liu Yan , Yang Zhen-jia , Li Da-zheng , Chen Yu-hua , Luan Ying-yi , Yao Yong-ming , Wu Ming
Published: December 2023

Background: Previous studies documented that heparin can inhibit the invasion and metastasis of tumors, but its role on outcomes in patients with solid malignancy complicated sepsis remains unclear.

Methods: A retrospective cohort study was conducted in critically ill patients with solid malignancy associated sepsis from the Medical Information Mart for Intensive Care (MIMIC)-IV database. The primary endpoint was intensive care unit (ICU) mortality, secondary outcomes were thrombosis and hospital mortality. Propensity score matching (PSM), marginal structural Cox model (MSCM), cox proportional hazards model, stratification analysis and E-value were used to account for baseline differences, time-varying confounding and unmeasured variables.

Results: A total of 1,512 patients with solid malignancy complicated sepsis were enrolled, of which 683 in the heparin group with intensive care unit mortality, thrombosis rate and hospital mortality were 9.7%, 5.4%, 16.1%, and 829 in the non-heparin group with ICU mortality, thrombosis rate and hospital mortality were 14.6%, 12.5%, 22.6%. Similar results were observed on outcomes for patients with PSM (ICU mortality hazard ratio [HR] 0.61, 95% confidence interval [CI] 0.41–0.92), thrombosis rate (HR 0.42, 95% confidence interval 0.26–0.68); hospital mortality HR 0.70, 95% CI 0.50–0.99). marginal structural Cox model further reinforced the efficacy of heparin in reducing ICU mortality (HR 0.48, 95% CI 0.34–0.68). Logistic regression and Cox regression model showed heparin use also markedly reduced thrombosis (HR 0.42; 95% CI 0.26–0.68; p < 0.001) and hospital mortality (HR 0.70; 95% CI 0.50–0.99; p = 0.043). Stratification analysis with the MSCM showed an effect only those with digestive system cancer (HR 0.33, 95% CI 0.16–0.69).

Conclusion: Early heparin therapy improved outcomes in critically ill patients with solid malignancy complicated sepsis. These results are evident especially in those with digestive system cancer. A prospective randomized controlled study should be designed to further assess the relevant findings.
The RNA landscape of Dunaliella salina in response to short-term salt stress
Authors: Zhang Bingbing , Deng Caiyun , Wang Shuo , Deng Qianyi , Chu Yongfan , Bai Ziwei , Huang Axiu , Zhang Qinglian , He Qinghua
Published: December 2023

Using the halotolerant green microalgae Dunaliella salina as a model organism has special merits, such as a wide range of salt tolerance, unicellular organism, and simple life cycle and growth conditions. These unique characteristics make it suitable for salt stress study. In order to provide an overview of the response of Dunaliella salina to salt stress and hopefully to reveal evolutionarily conserved mechanisms of photosynthetic organisms in response to salt stress, the transcriptomes and the genome of the algae were sequenced by the second and the third-generation sequencing technologies, then the transcriptomes under salt stress were compared to the transcriptomes under non-salt stress with the newly sequenced genome as the reference genome. The major cellular biological processes that being regulated in response to salt stress, include transcription, protein synthesis, protein degradation, protein folding, protein modification, protein transport, cellular component organization, cell redox homeostasis, DNA repair, glycerol synthesis, energy metabolism, lipid metabolism, and ion homeostasis. This study gives a comprehensive overview of how Dunaliella salina responses to salt stress at transcriptomic level, especially characterized by the nearly ubiquitous up-regulation of the genes involving in protein folding, DNA repair, and cell redox homeostasis, which may confer the algae important mechanisms to survive under salt stress. The three fundamental biological processes, which face huge challenges under salt stress, are ignored by most scientists and are worth further deep study to provide useful information for breeding economic important plants competent in tolerating salt stress, other than only depending on the commonly acknowledged osmotic balance and ion homeostasis.
An integrated feature selection approach to high water stress yield prediction
Authors: Li Zongpeng , Zhou Xinguo , Cheng Qian , Zhai Weiguang , Mao Bohan , Li Yafeng , Chen Zhen
Published: December 2023

The timely and precise prediction of winter wheat yield plays a critical role in understanding food supply dynamics and ensuring global food security. In recent years, the application of unmanned aerial remote sensing has significantly advanced agricultural yield prediction research. This has led to the emergence of numerous vegetation indices that are sensitive to yield variations. However, not all of these vegetation indices are universally suitable for predicting yields across different environments and crop types. Consequently, the process of feature selection for vegetation index sets becomes essential to enhance the performance of yield prediction models. This study aims to develop an integrated feature selection method known as PCRF-RFE, with a focus on vegetation index feature selection. Initially, building upon prior research, we acquired multispectral images during the flowering and grain filling stages and identified 35 yield-sensitive multispectral indices. We then applied the Pearson correlation coefficient (PC) and random forest importance (RF) methods to select relevant features for the vegetation index set. Feature filtering thresholds were set at 0.53 and 1.9 for the respective methods. The union set of features selected by both methods was used for recursive feature elimination (RFE), ultimately yielding the optimal subset of features for constructing Cubist and Recurrent Neural Network (RNN) yield prediction models. The results of this study demonstrate that the Cubist model, constructed using the optimal subset of features obtained through the integrated feature selection method (PCRF-RFE), consistently outperformed the RNN model. It exhibited the highest accuracy during both the flowering and grain filling stages, surpassing models constructed using all features or subsets derived from a single feature selection method. This confirms the efficacy of the PCRF-RFE method and offers valuable insights and references for future research in the realms of feature selection and yield prediction studies.
The positive education of challenge: innovative integration of challenge based learning and positive education
Authors: Horikoshi Keisuke
Published: December 2023

Challenge based learning is not generally considered part of positive education. This study argues that challenge based learning should be considered and integrated with positive education to advance it from three perspectives. First, the aims of both educational approaches emphasize the promotion of engagement, meaning, achievement, and learning. Second, empirical studies suggest that challenge based learning is likely to enhance well-being and learning outcomes, aligning with positive education’s impact. Third, incorporating challenge based learning in positive education will likely address multiple criticisms of positive education and help advance it by incorporating real-life challenges, meaningful contexts, experiential learning, collective perspectives, and educational studies. To advance positive education, more empirical studies should be conducted on the impact of challenge based learning on well-being to fill the research gap in quantity, scope of variables, and longitudinal studies, with due consideration of its variety in implementation. Furthermore, innovative integration of challenge based learning and existing positive education interventions should be explored based on comparative analyses of both approaches to develop positive education that enables learners to flourish with challenges at the individual and collective levels. Positive education that explicitly incorporates challenges is called the positive education of challenge. To advance the positive education of challenge, more educational approaches (other than challenge based learning) that focus on challenges (e.g., challenge courses and pedagogy of challenge) should also be explored for integration with positive education.
Estimation of peer effect in university students’ employment intentions: randomization evidence from China
Authors: Wu Wenwen , Zhong Yongyou , Zeng Guohua
Published: December 2023

As a key determinant of employment behavior, employment intention is easily affected by the environment, others and their subconsciousness, thus deviating from the optimal decision predicted by the classical economic model. Peers are an important environmental factor that directly affects individual behavior, but their effect on employment intentions has not been fully verified. The paper analyzes the class peer effect on university students’ employment intentions using random class assignment data from a central province in China. It is found that positive peer employment behavior has a significant positive effect on university students’ employment intentions, and this result remains robust after replacing the proxy variables. Further analysis of the peer effect mechanism reveals that the provision and dissemination of school employment information enhances the peer effect in employment intentions, while the help given by parents and family background weakens the peer effect. The results of the dose effect of the peer effect show that the peer effect tends to increase over time.
The effects of emotion and COVID-19 context priming on the size and color of drawings: based on human figure drawings and tree drawings
Authors: Cao Huijing , Zhang Xiaohan , Zhang Xinlei , Yan Wenhua
Published: December 2023

Introduction

This study aimed to investigate the effects of emotional themes and the COVID-19 pandemic context priming on the size and color of drawings.

Methods

A 3 (emotion: peacefulness, gratitude, loneliness) × 2 (context: pandemic, regular) mixed design was used and 113 university students in Shanghai were recruited to draw human figures and trees using 10 marker colors.

Results

The size of the drawings depicting loneliness was smaller than that of the those depicting peacefulness and gratitude. Drawings depicting loneliness used more cool and non-preferred colors; drawings depicting gratitude used more warm and preferred colors. Drawings in the pandemic context were larger, which may reflect the more significant threat perceived by individuals. Drawings in the pandemic context used more red colors, showing symbolic meanings such as danger.

Discussion

The drawing size and drawing color are influenced by emotional themes and the pandemic context priming.
Early predictors in language-based learning disabilities: a bibliometric analysis
Authors: Alabbad Maryam , Khan Muhammad Ajmal , Siddique Nadeem , Hassan Jaber Abou , Bashir Shahid , Abualait Turki
Published: December 2023

Introduction

Language-based learning disabilities (LBLD) refers to a spectrum of neurodevelopmental-associated disorders that are characterized by cognitive and behavioral differences in comprehending, processing and utilizing spoken and/or written language. The focus of this work was on identifying early predictors of three main specific LBLD including dyslexia, dyscalculia, and dysgraphia.

Methods

The Web of Science (WoS) was searched for literature related to (neurocognitive, neurophysiological, and neuroimaging) measurements used to identify early predictors of LBLD from 1991 to 25 October 2021. A retrospective bibliometric analysis was performed to analyze collaboration among countries, institutions, authors, publishing journals, reference co-citation patterns, keyword co-occurrence, keyword clustering, and burst keywords using Biblioanalytics software.

Results

In total, 921 publications related to the identification of LBLD using (neurocognitive, neurophysiological, and neuroimaging) modalities were included. The data analysis shows a slow growth in research on the topic in the 90s and early 2000 and growing trend in recent years. The most prolific and cited journal is Neuroimage, followed by Neuropsychologia. The United States and Finland’s Universities Jyvaskyla and Helsinki are the leading country and institution in this field, respectively. “Neuroimaging,” “brain,” “fMRI,” “cognitive predictor,” “comorbidity,” “cortical thickness” were identified as hotspots and trends of (neurocognitive, neurophysiological, and neuroimaging) modalities in the identification of LBLD.

Discussion

Early predictors of LBLDs would be useful as targets for specific prevention and intervention programs to be implemented at very young ages, which could have a significant clinical impact. A novel finding of neuroimaging predictors combined with neurocognitive and neuropsychological batteries may have implications for future research.
Psychological screening, providing social security or strengthening training? How can government and labor unions protect the mental health of young employees
Authors: Bai Yuntao , Wang Lan , Bi Yanzhe
Published: December 2023

As the mental health problems of young employees become more and more prominent, the government and labor unions need to take measures to protect the mental health of young employees. Considering that the main mental health safeguard measures are divided into psychological screening, providing social security and strengthening training, this article constructs a differential game model under these three modes. The balanced efforts and social benefits of the government and labor unions under the three modes are obtained, and the applicable conditions of various mental health protection modes are compared. The results show that if the government pays a lower cost, the government gets the highest economic benefit under the training mode, followed by the security mode, and the government gets the lowest economic benefit under the psychological screening mode. If the reputation of the labor unions improved by its efforts is low, the equilibrium benefits of the labor unions under psychological screening and providing security are the same, and greater than the equilibrium benefits under the intensive training mode. If the labor unions have a higher reputation enhanced by its efforts, the balance return of the labor unions under the guarantee mode is the highest, followed by the balance return under the intensive training mode, and the balance return of the labor unions under the psychological screening mode is the lowest.
Bcl-2 inhibition in the treatment of hematologic malignancies
Authors: Wei John X. , Konopleva Marina
Published: December 2023

Apoptosis is a tightly regulated process of cell death occurring through extrinsic and intrinsic pathways. The Bcl-2 family of proteins is implicated in the intrinsic pathway and encompasses both pro-apoptotic and anti-apoptotic proteins. Anti-apoptotic Bcl-2 proteins are frequently overexpressed in hematologic malignancies and so Bcl-2 inhibitors have been developed to combat these malignancies. The first and so-far only FDA-approved Bcl-2 inhibitor has been venetoclax, initially for treatment of chronic lymphocytic leukemia (CLL) with 17-p deletion as a second-line agent, followed by later expansion to all CLL and selected acute myeloid leukemia (AML) indications. Venetoclax and inhibitors of other Bcl-2 family members have demonstrated significant potential. However, their use requires careful consideration of disease indication, along with biomarkers associated with disease and optimal drug combinations. Side-effect profiles and specific patterns of resistance must be considered as well. In this review, we examine in detail the characteristics of the Bcl-2 family of proteins and their role in apoptosis. We discuss the drug development process that led to the first-in-class approval of venetoclax, along with relevant use considerations. Finally, we examine future directions in this domain of pharmaceutical development.
Catching Excess CO2 From the Atmosphere
Authors: Arjona-Jaime Paola , Rangel-Mendez Rene
Published: December 2023

Carbon dioxide (CO2) plays an important role on Earth. But right now, there is too much! Burning fossil fuels increases the CO2 emissions into the atmosphere, causing global warming. Friend or foe, reducing CO2 is crucial. One way to do this is to capture CO2 before it is released from factory chimneys, or to take it directly from the air. These strategies not only reduce CO2, but also offer a way to reuse it in daily life products. Can you imagine captured CO2 being used to create the bubbles in your soda or growing the vegetables you eat? Current efforts are focused on designing new materials that can powerfully attract CO2. These materials have spaces inside where CO2 can enter and stick to the surface through a process called adsorption. The objective is to capture CO2 that can later be released to use for other purposes!
Understanding and mitigating global change with aquatic sensors: current challenges and future prospects
Authors: Diamond Dermot , Relyea Rick A. , McCaul Margaret
Published: December 2023

Human activities are causing global change around the world including habitat destruction, invasive species in non-native ecosystems, overexploitation, pollution, and global climate change. While traditional monitoring has long been used to quantify and aid mitigation of global change, in-situ autonomous sensors are being increasingly used for environmental monitoring. Sensors and sensor platforms that can be deployed in developed and remote areas and allow high-frequency data collection, which is critical for parameters that exhibit important short-term dynamics on the scale of days, hours, or minutes. In this article, we discuss the benefits of in-situ autonomous sensors in aquatic ecosystems as well as the many challenges that we have experienced over many years of working with these technologies. These challenges include decisions on sensor locations, sensor types, analytical specification, sensor calibration, sensor drift, the role of environmental conditions, sensor fouling, service intervals, cost of ownership, and data QA/QC. These challenges result in important tradeoffs when making decisions regarding which sensors to deploy, particularly when a network of sensors is desired to cover a large area. We also review recent advances in designing and building chemical-sensor platforms that are allowing researchers to develop the next-generation of autonomous sensors and the power of integrating multiple sensors into a network that provides increased insight into the dynamics of water quality over space and time. In the coming years, there will be an exponential growth in data related to aquatic sensing, which will be an essential part of global efforts to monitor and mitigate global change and its adverse impacts on society.
Learning journeys – student learning development in the first years of a medical degree: an analysis of student conversations
Authors: Gilbert Kerry G.
Published: December 2023

Introduction

Students starting medical school generally come from a learning background that expects them to learn content, which is reproduced to pass an exam. As a part of their learning development, they must adapt and become self-motivated learners who can determine the underlying principles or concepts and use these to problem solve in the uncertainty of real-life clinical practice. Whilst much has been written about designing curricula to promote learning development, there is no one-size fits all approach to facilitating this type of learning, thus an analysis of what helps and hinders learning development is indicated.

Methods

Student pairs in Y2 and Y3 of an undergraduate Bachelor of Medicine, Bachelor of Surgery (BMBS) programme of a South-West UK medical school, were asked to audio record a conversation about their learning through a facilitated problem-based learning approach during the BMBS course so far. They were provided with a brief to aid them in their discussion in the style of the outside broadcast method of BBC Radio 4s listening project. Using this method, the conversation was unfacilitated and allowed to take its natural course. Conversations were transcribed and coded to determine emerging themes with respect to the developing understanding of the students about what and how they were learning.

Results

Four student pairs volunteered for the project one from Y2 and three from Y3. Five key themes were identified including: from ‘learning it all, to structured learning’; ‘developing understanding and the spiral curriculum’; ‘working alone versus working with others’; ‘integrated learning and understanding context’ and ‘assessment and resources.’ Narrative analysis within these themes suggested that over the course of the first two to three years of study, participants developed a better understanding of how best to learn, although there were differences in both time and order that participants reached a point where learning felt more natural to them.

Discussion

Analysis of the data suggested that students develop independently towards being self-motivated lifelong learners. There were several key aspects of curriculum design that could be used to facilitate this development, which could easily be incorporated into developing or creating problem- / enquiry-based curricula.
Deep Error-Correcting Output Codes
Authors: Wang Li-Na , Wei Hongxu , Zheng Yuchen , Dong Junyu , Zhong Guoqiang
Published: December 2023

Ensemble learning, online learning and deep learning are very effective and versatile in a wide spectrum of problem domains, such as feature extraction, multi-class classification and retrieval. In this paper, combining the ideas of ensemble learning, online learning and deep learning, we propose a novel deep learning method called deep error-correcting output codes (DeepECOCs). DeepECOCs are composed of multiple layers of the ECOC module, which combines several incremental support vector machines (incremental SVMs) as base classifiers. In this novel deep architecture, each ECOC module can be considered as two successive layers of the network, while the incremental SVMs can be viewed as weighted links between two successive layers. In the pre-training procedure, supervisory information, i.e., class labels, can be used during the network initialization. The incremental SVMs lead this procedure to be very efficient, especially for large-scale applications. We have conducted extensive experiments to compare DeepECOCs with traditional ECOC, feature learning and deep learning algorithms. The results demonstrate that DeepECOCs perform, not only better than existing ECOC and feature learning algorithms, but also related to deep learning ones in most cases.
Outcomes from the First European Planetary Health Congress at ARTIS in Amsterdam
Authors: Kort Remco , Arts Koen , Antó Josep M. , Berg Matty P. , Cepella Gabrielle , Cole Jennifer , van Doorn Amarylle , van Gorp Tomás , Grootjen Milo , Gupta Joyeeta , Hill Colin , van der Heide Eva , Huisman Jef , Janmaat Jopke , O’Callaghan-Gordo Cristina , Mattijsen Juliette , Modi Tulsi , Nowak Evanne , Ossebaard Hans C. , den Outer Jessica , Pot Bruno , Praasterink Frederike , Prass Marju , Robert Alexandre , Roelse Michiel , Seidell Jaap , Slabbekoorn Hans , Spek Wouter , Stappen Ralf Klemens , Stikker Marleen , van der Stelt Jorieke , Stuiver Marian , Sutorius Rembrandt , van Trommel Jip , Veenman Martine , Weij Christian , Martens Pim
Published: December 2023

The First European Planetary Health Congress, held from 5 to 7 July 2023 at ARTIS in Amsterdam, represented a significant milestone in the global movement of Planetary Health. The event brought together 121 attendees from academia and the private sector dedicated to addressing the impact of human disruptions to natural systems on the well-being of life on Earth. Co-organized by Natura Artis Magistra (ARTIS) and the European Hub of the Planetary Health Alliance (PHA), the Congress featured five workshops: The Future of Planetary Health Cities, Impact through Synergy, Planetary Health Education, Movement Building, and Food and Microbes. Oral presentations addressed the theme of how human health and the health of human civilization depend on the natural environment, including subthemes on Earth, Water, and Food. Additionally, the subtheme of Humans reflected on how humanity can thrive within Planetary Boundaries and how to imagine a prosperous future for all life on Earth. The First European Planetary Health Congress offered a platform for fostering sustainable, just, and equitable societies within ecological limits. Accordingly, ARTIS and the European Hub aim to shape a hopeful future for generations to come.
Quantitative Analysis of Prostate MRI: Correlation between Contrast-Enhanced Magnetic Resonance Fingerprinting and Dynamic Contrast-Enhanced MRI Parameters
Authors: Choi Moon-Hyung , Lee Young-Joon , Han Dongyeob , Kim Dong-Hyun
Published: December 2023

This research aimed to assess the relationship between contrast-enhanced (CE) magnetic resonance fingerprinting (MRF) values and dynamic contrast-enhanced (DCE) MRI parameters including (Ktrans, Kep, Ve, and iAUC). To evaluate the correlation between the MRF-derived values (T1 and T2 values, CE T1 and T2 values, T1 and T2 change) and DCE-MRI parameters and the differences in the parameters between prostate cancer and noncancer lesions in 68 patients, two radiologists independently drew regions-of-interest (ROIs) at the focal prostate lesions. Prostate cancer was identified in 75% (51/68) of patients. The CE T2 value was significantly lower in prostate cancer than in noncancer lesions in the peripheral zone and transition zone. Ktrans, Kep, and iAUC were significantly higher in prostate cancer than noncancer lesions in the peripheral zone (p < 0.05), but not in the transition zone. The CE T1 value was significantly correlated with Ktrans, Ve, and iAUC in prostate cancer, and the CE T2 value was correlated to Ve in noncancer. Some CE MRF values are different between prostate cancer and noncancer tissues and correlate with DCE-MRI parameters. Prostate cancer and noncancer tissues may have different characteristics regarding contrast enhancement.
Modeling the Consumption of Main Fossil Fuels in Greenhouse Gas Emissions in European Countries, Considering Gross Domestic Product and Population
Authors: Kolasa-Więcek Alicja , Pilarska Agnieszka A. , Wzorek Małgorzata , Suszanowicz Dariusz , Boniecki Piotr
Published: December 2023

Poland ranks among the leading European countries in terms of greenhouse gas (GHG) emissions. Many European countries have higher emissions per capita than the EU average. This research aimed to quantify the complex relationships between the consumption variables of the main fossil fuels, accounting for economic indicators such as population and gross domestic product (GDP) in relation to GHG emissions. This research attempted to find similarities in the group of 16 analyzed European countries. The hypothesis of an inverted U-shaped environmental Kuznets curve (EKC) was tested. The resulting multiple regression models showed similarities in one group of countries, namely Poland, Germany, the Czech Republic, Austria and Slovakia, in which most of the variables related to the consumption of fossil fuels, including HC and BC simultaneously, are statistically significant. The HC variable is also significant in Denmark, Estonia, the Netherlands, Finland and Bulgaria, and BC is also significant in Lithuania, Greece and Belgium. Moreover, results from Ireland, the Netherlands, and Belgium indicate a negative impact of population on GHG emissions, and in the case of Germany, the hypothesis of an environmental Kuznets curve can be accepted.
Numerical Investigation of Unsteady Rotor–Stator Interaction Mechanism and Wake Transportation Characteristics in a Compressor with Non-Uniform Tip Clearance Rotor
Authors: Zhang Guochen , Li Zhipeng , Wang Qijiao , Xu Zhihui , Cao Zhiyuan
Published: December 2023

This study aims to numerically investigate a transonic compressor by solving the unsteady Reynolds-averaged Navier–Stokes equations. The flow mechanisms related to unsteady flow were carefully examined and compared between rotors with non-uniform tip clearance (D1) and small-value tip clearance (P1). The unsteady flow field near the 50% and 95% blade span characterized by unsteady rotor–stator interaction was analyzed in detail for near-stall (NS) conditions. According to the findings, the perturbation of unsteady aerodynamic force for the stator is much bigger than that of the rotor. At the mid-gap between the rotor and stator, the perturbation of tangential velocity of the D1 scheme in the rotor and stator frame is reduced. At the rotor’s outlet region, the perturbation intensity is divided into three main perturbation regions, which are respectively concentrated in the TLV near the upper endwall, the corner separation at the blade root, and the wake of the whole blade span. Through the analysis of the wake transportation characteristics, it was found that when the wake passes through the stator blade surface, the wake exerts a substantial influence on the flow within the stator passage. It further leads to notable pressure perturbations on the stator’s surface, as well as affecting the development and flow loss of the boundary layer. The negative jet effect induces opposite secondary flow velocity on both sides of the wake near the stator’s surfaces. Therefore, the velocity at a specific point on the stator’s suction surface will decrease and then increase. Conversely, the velocity at a particular point on the pressure surface will increase and then decrease.
Numerical Study on the Effects of Partial Oxidation Fuel Reforming (POFR) on the Performance of a Natural Gas Engine
Authors: Wang Mingda , Zhou Rui , Guan Min , Zheng Jian , Yi Fei
Published: December 2023

Due to the issues of low flame speed and high CH4 emissions for a natural gas engine, investigations into the partial oxidation fuel reforming (POFR) method used in natural gas engines to blend H2 have become increasingly valuable. In this paper, the combustion process, engine performance, and emissions of a natural gas engine with fuel-reforming gases blended together have been numerically studied. The results show that a higher fuel-reforming ratio can effectively improve the engine combustion performance, especially at lean-burn conditions. Combustion with reformed gases can increase the thermal efficiency by almost 2% at the full-load condition, whereas fuel reforming significantly affects the natural gas engine’s power performance. Furthermore, CH4 and NOX emissions decrease significantly with increasing fuel-reforming ratio. In conclusion, fuel reforming for a natural gas engine has a promising future in reducing greenhouse gas emissions and improving economic performance.
Experimental and Numerical Evaluation of Solar Receiver Heat Losses of a Commercial 9 MWe Linear Fresnel Power Plant
Authors: Montanet Edouard , Rodat Sylvain , Falcoz Quentin , Roget Fabien
Published: December 2023

Evaluating the heat losses of linear Fresnel concentrator (LFC) receivers is crucial for determining plant efficiency and managing the flow rate in solar lines. This becomes particularly significant when operating in direct steam generation to manage the steam quality at the line outlet. In general, the LFC receiver heat losses are determined experimentally on prototype systems to control the inlet condition or numerically using 3D computational fluid dynamics models or 1D mathematical models. The originality of this work is in reporting the study of heat losses of a commercial 9 MWe solar Fresnel power plant without impacting its electricity production. The experimentally measured receiver’s linear heat losses were found to be well represented by a second-degree polynomial function of the difference between the inlet/outlet fluid temperature average and the ambient temperature. Finally, to express the strong influence of wind speed on the receiver heat losses, a 1D single-phase model was developed and adapted to include the current receiver degradation. To conclude, the model was validated by comparing the experimental and theoretical results. Based on this comparison, it can be concluded that the model accurately predicts experimental heat losses with an acceptable uncertainty of ±30%, regardless of the wind velocity.
Barriers to the Utilization of Low-Vision Rehabilitation Services among Over-50-Year-Old People in East and Southeast Asian Regions: A Scoping Review
Authors: Takashi Saito , Kumiko Imahashi
Published: December 2023

East and Southeast Asia (ESEA) are facing age-related eye health issues. Low-vision rehabilitation (LVR), which is a special rehabilitation service for individuals with vision impairment, is a promising solution for these health issues; however, poor accessibility to LVR services has been reported globally, including ESEA. Therefore, this scoping review aimed to summarize and understand the barriers to accessing LVR services in ESEA. In total, 20 articles were ultimately considered eligible for this scoping review after an electronic database search using MEDLINE (PubMed), Web of Science, Academic Search Ultimate (EBSCO), and Ichushi-Web (Japanese medical literature database), and an independent review by two reviewers. Twenty-one potential barrier factors were identified in the full-text review. Notably, age, education, economic status, “previous experience using eye care service”, and “knowledge, information, and awareness” were the possible barrier factors that were examined for their association with LVR utilization, with supportive evidence in many eligible studies. We also identified research gaps relating to geographical and ethnic diversity, the scope of LVR services, and barriers among eligible articles. Therefore, by conducting further studies addressing the research gaps identified in this scoping review, these findings can be used to make LVR services more accessible to people in ESEA.
miR-195-5p as Regulator of γ-Catenin and Desmosome Junctions in Colorectal Cancer
Authors: Piccinno Emanuele , Scalavino Viviana , Armentano Raffaele , Giannelli Gianluigi , Serino Grazia
Published: December 2023

Desmosomes play a key role in the regulation of cell adhesion and signaling. Dysregulation of the desmosome complex is associated with the loss of epithelial cell polarity and disorganized tissue architecture typical of colorectal cancer (CRC). The aim of this study was to investigate and characterize the effect of miR-195-5p on desmosomal junction regulation in CRC. In detail, we proposed to investigate the deregulation of miR-195-5p and JUP, a gene target that encodes a desmosome component in CRC patients. JUP closely interacts with desmosomal cadherins, and downstream, it regulates several intracellular transduction factors. We restored the miR-195-5p levels by transient transfection in colonic epithelial cells to examine the effects of miR-195-5p on JUP mRNA and protein expression. The JUP regulation by miR-195-5p, in turn, determined a modulation of desmosome cadherins (Desmoglein 2 and Desmocollin 2). Furthermore, we focused on whether the miR-195-5p gain of function was also able to modulate the expression of key components of Wnt signaling, such as NLK, LEF1 and Cyclin D1. In conclusion, we have identified a novel mechanism controlled by miR-195-5p in the regulation of adhesive junctions, suggesting its potential clinical relevance for future miRNA-based therapy in CRC.
Plasma Exchange Reduces Aβ Levels in Plasma and Decreases Amyloid Plaques in the Brain in a Mouse Model of Alzheimer’s Disease
Authors: Ramirez Santiago , Koerich Suelyn , Astudillo Natalia , De Gregorio Nicole , Al-Lahham Rabab , Allison Tyler , Rocha Natalia Pessoa , Wang Fei , Soto Claudio
Published: December 2023

Alzheimer’s disease (AD) is the most common type of dementia, characterized by the abnormal accumulation of protein aggregates in the brain, known as neurofibrillary tangles and amyloid-β (Aβ) plaques. It is believed that an imbalance between cerebral and peripheral pools of Aβ may play a relevant role in the deposition of Aβ aggregates. Therefore, in this study, we aimed to evaluate the effect of the removal of Aβ from blood plasma on the accumulation of amyloid plaques in the brain. We performed monthly plasma exchange with a 5% mouse albumin solution in the APP/PS1 mouse model from 3 to 7 months old. At the endpoint, total Aβ levels were measured in the plasma, and soluble and insoluble brain fractions were analyzed using ELISA. Brains were also analyzed histologically for amyloid plaque burden, plaque size distributions, and gliosis. Our results showed a reduction in the levels of Aβ in the plasma and insoluble brain fractions. Interestingly, histological analysis showed a reduction in thioflavin-S (ThS) and amyloid immunoreactivity in the cortex and hippocampus, accompanied by a change in the size distribution of amyloid plaques, and a reduction in Iba1-positive cells. Our results provide preclinical evidence supporting the relevance of targeting Aβ in the periphery and reinforcing the potential use of plasma exchange as an alternative non-pharmacological strategy for slowing down AD pathogenesis.
Laser-Synthesized Elemental Boron Nanoparticles for Efficient Boron Neutron Capture Therapy
Authors: Zavestovskaya Irina N. , Kasatova Anna I. , Kasatov Dmitry A. , Babkova Julia S. , Zelepukin Ivan V. , Kuzmina Ksenya S. , Tikhonowski Gleb V. , Pastukhov Andrei I. , Aiyyzhy Kuder O. , Barmina Ekaterina V. , Popov Anton A. , Razumov Ivan A. , Zavjalov Evgenii L. , Grigoryeva Maria S. , Klimentov Sergey M. , Ryabov Vladimir A. , Deyev Sergey M. , Taskaev Sergey Yu. , Kabashin Andrei V.
Published: December 2023

Boron neutron capture therapy (BNCT) is one of the most appealing radiotherapy modalities, whose localization can be further improved by the employment of boron-containing nanoformulations, but the fabrication of biologically friendly, water-dispersible nanoparticles (NPs) with high boron content and favorable physicochemical characteristics still presents a great challenge. Here, we explore the use of elemental boron (B) NPs (BNPs) fabricated using the methods of pulsed laser ablation in liquids as sensitizers of BNCT. Depending on the conditions of laser-ablative synthesis, the used NPs were amorphous (a-BNPs) or partially crystallized (pc-BNPs) with a mean size of 20 nm or 50 nm, respectively. Both types of BNPs were functionalized with polyethylene glycol polymer to improve colloidal stability and biocompatibility. The NPs did not initiate any toxicity effects up to concentrations of 500 µg/mL, based on the results of MTT and clonogenic assay tests. The cells with BNPs incubated at a 10B concentration of 40 µg/mL were then irradiated with a thermal neutron beam for 30 min. We found that the presence of BNPs led to a radical enhancement in cancer cell death, namely a drop in colony forming capacity of SW-620 cells down to 12.6% and 1.6% for a-BNPs and pc-BNPs, respectively, while the relevant colony-forming capacity for U87 cells dropped down to 17%. The effect of cell irradiation by neutron beam uniquely was negligible under these conditions. Finally, to estimate the dose and regimes of irradiation for future BNCT in vivo tests, we studied the biodistribution of boron under intratumoral administration of BNPs in immunodeficient SCID mice and recorded excellent retention of boron in tumors. The obtained data unambiguously evidenced the effect of a neutron therapy enhancement, which can be attributed to efficient BNP-mediated generation of α-particles.
Phenylbutyrate and Dichloroacetate Enhance the Liquid-Stored Boar Sperm Quality via PDK1 and PDK3
Authors: Guo Zhihua , Zhang Yan , Huang Anqi , Ni Qingyong , Zeng Changjun
Published: December 2023

Artificial insemination (AI) with liquid-stored semen is the most prevalent and efficient assisted reproduction technique in the modern pork industry. Pyruvate dehydrogenase complex component X (PDHX) was demonstrated to be associated with sperm metabolism and affected the boar sperm viability, motility, and fertility. Pyruvate Dehydrogenase Kinases (PDKs) are the key metabolic enzymes that regulate pyruvate dehydrogenase complex (PDHC) activity and also the conversion from glycolysis to oxidative phosphorylation. In the present study, two PDK inhibitors, Dichloroacetate (DCA) and Phenylbutyrate (4-PBA), were added to an extender and investigated to determine their regulatory roles in liquid-stored boar sperm at 17 °C. The results indicated that PDK1 and PDK3 were predominantly located at the head and flagella of the boar sperm. The addition of 2 mM DCA and 0.5 mM 4-PBA significantly enhanced the sperm motility, plasma membrane integrity (PMI), mitochondrial membrane potential (MMP), and ATP content. In addition, DCA and 4-PBA exerted their effects by inhibiting PDK1 and PDK3, respectively. In conclusion, DCA and 4-PBA were found to regulate the boar sperm metabolic activities via PDK1 and PDK3. These both can improve the quality parameters of liquid-stored boar sperm, which will help to improve and optimize liquid-stored boar semen after their addition in the extender.