bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nintedanib Ameliorates Bleomycin-Induced Pulmonary Fibrosis, Inflammation, Apoptosis, and Oxidative Stress by Modulating PI3K/Akt/mTOR Pathway in Mice
Authors: Pan Lin , Cheng Yiju , Yang Wenting , Wu Xiao , Zhu Honglan , Hu Meigui , Zhang Yuquan , Zhang Menglin 
Published: May 2023

Abstract
Idiopathic pulmonary fibrosis (IPF) seriously threatens human life and health, and no curative therapy is available at present. Nintedanib is the first agent approved by the US Food and Drug Administration (FDA) in order to treat IPF; however, its mechanism of inhibition of IPF is still elusive. According to recent studies, nintedanib is a potent inhibitor. It can antagonize platelet-derived growth factor (PDGF), basic fibroblast growth factor (b-FGF), vascular endothelial growth factor (VEGF), etc., to inhibit pulmonary fibrosis. Whether there are other signaling pathways involved in IPF remains unknown. This study focused on investigating the therapeutic efficacy of nintedanib in bleomycin-mediated pulmonary fibrosis (PF) mice through PI3K/Akt/mTOR pathway. Following the induction of pulmonary fibrosis in C57 mice through bleomycin (BLM) administration, the mice were randomized into five groups: (1) the normal control group, (2) the BLM model control group, (3) the low-dose Nintedanib administration model group, (4) the medium-dose nintedanib administration model group, and (5) the high-dose nintedanib administration model group. For lung tissues, morphological changes were found by HE staining and Masson staining, ELISA method was used to detect inflammatory factors, alkaline water method to estimate collagen content, and western blotting for protein levels. TUNEL staining and immunofluorescence methods were used to analyze the effect of nintedanib on lung tissue and the impacts and underlying mechanisms of bleomycin-induced pulmonary fibrosis. After 28 days, bleomycin-treated mice developed significant pulmonary fibrosis. Relative to bleomycin-treated mice, nintedanib-treated mice had markedly reduced degrees of PF. In addition, nintedanib showed lung-protective effects by up-regulating antioxidant levels, down-regulating inflammatory protein expression, and reducing collagen accumulation. We demonstrated that nintedanib ameliorated bleomycin-induced lung injury by inhibiting the P13K/Akt/mTOR pathway as well as apoptosis. In addition, significant improvement in pulmonary fibrosis was seen after nintedanib (30/60/120 mg/kg body weight/day) treatment through a dose-dependent way. Histopathological results further corroborated the effect of nintedanib treatment on remarkably attenuating bleomycin-mediated mouse lung injury. According to our findings, nintedanib restores the antioxidant system, suppresses pro-inflammatory factors, and inhibits apoptosis. Nintedanib can reduce bleomycin-induced inflammation by downregulating PI3K/Akt/mTOR pathway, PF, and oxidative stress (OS).
Devo-Aging: Intersections Between Development and Aging
Authors: Silva-García Carlos Giovanni 
Published: May 2023

Abstract
There are two fundamental questions in developmental biology. How does a single fertilized cell give rise to a whole body? and how does this body later produce progeny? Synchronization of these embryonic and postembryonic developments ensures continuity of life from one generation to the next. An enormous amount of work has been done to unravel the molecular mechanisms behind these processes, but more recently, modern developmental biology has been expanded to study development in wider contexts, including regeneration, environment, disease, and even aging. However, we have just started to understand how the mechanisms that govern development also regulate aging. This review discusses examples of signaling pathways involved in development to elucidate how their regulation influences healthspan and lifespan. Therefore, a better knowledge of developmental signaling pathways stresses the possibility of using them as innovative biomarkers and targets for aging and age-related diseases.
Development and Characterization of Soy Lecithin Liposome as Potential Drug Carrier Systems for Doxorubicin
Authors: Ahmed Shaimaa A. , Salama Aida A. , Gaber Mohamed H. , Ali Said A. 
Published: May 2023

Abstract
Purpose
The phospholipids from plant origins play an important role in different techniques, especially in drug delivery applications. The purpose of this study is to investigate the effect of liposomes prepared from plant origin as a cheap source of lipids as drug carriers.

Methods
Soy lecithin liposomes (SLP) were prepared and loaded with doxorubicin (DOX) to use as a drug delivery system. DOX was used as the model drug and DOX/SLP was successfully combined. The characteristics of these liposomes, zeta potential, size distribution, drug encapsulation efficiency (EE%), drug release, Fourier transform infrared (FTIR), and transmission electron microscopy (TEM) were checked followed by in vitro study. The cytotoxicity study by using free DOX and DOX/SLP is done on Mcf-7, human breast cancer as a cell line.

Results
The optimal DOX/SLP formulation had a mean size of 342 nm, a negative zeta potential of −22.3 mV, the loaded DOX/SLP showed EE% (83.68%), and a drug release profile of 35 h, all are recorded. Cytotoxicity assay showed that the IC50 of DOX/SLP is smaller than that of free DOX.

Conclusion
These results give evidence of the efficacy of using drug carriers from plant origin combined with drugs to increase the effective therapies against cancer medically and economically.

Graphical Abstract
Swarm Exploration Mechanism-Based Distributed Water Wave Optimization
Authors: Li Haotian , Yang Haichuan , Zhang Baohang , Zhang Han , Gao Shangce 
Published: May 2023

AbstractUsing sparrow search hunting mechanism to improve water wave algorithm (WWOSSA), which combines the water wave optimization (WWO) algorithm and the sparrow search algorithm (SSA), has good optimization ability and fast convergence speed. However, it still suffers from insufficient exploration ability and is easy to fall into local optimum. In this study, we propose a new algorithm for distributed population structure, called swarm exploration mechanism-based distributed water wave optimization (DWSA). In DWSA, an information exchange component and an optimal individual evolution component are designed to improve information exchange between individuals. This multi-part information interaction and distributed population structure algorithm can help the population algorithm to establish a balance between exploitation and exploration more effectively. We contrast DWSA with the original algorithms WWOSSA and other meta-heuristics in order to show the effectiveness of DWSA. The test set consists of 22 actual optimization issues from the CEC2011 set and 29 benchmark functions from the CEC2017 benchmark functions. In addition, an experimental comparison of the parameter values introduced in DWSA is included. According to experimental results, the proposed DWSA performs substantially better than its competitors. Assessments of the population diversity and landscape search trajectory also confirmed DWSA’s outstanding convergence.
Host Genetic Factors, Comorbidities and the Risk of Severe COVID-19
Authors: Zhu Dongliang , Zhao Renjia , Yuan Huangbo , Xie Yijing , Jiang Yanfeng , Xu Kelin , Zhang Tiejun , Chen Xingdong , Suo Chen 
Published: May 2023

Abstract
Background
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was varied in disease symptoms. We aim to explore the effect of host genetic factors and comorbidities on severe COVID-19 risk.

Methods
A total of 20,320 COVID-19 patients in the UK Biobank cohort were included. Genome-wide association analysis (GWAS) was used to identify host genetic factors in the progression of COVID-19 and a polygenic risk score (PRS) consisted of 86 SNPs was constructed to summarize genetic susceptibility. Colocalization analysis and Logistic regression model were used to assess the association of host genetic factors and comorbidities with COVID-19 severity. All cases were randomly split into training and validation set (1:1). Four algorithms were used to develop predictive models and predict COVID-19 severity. Demographic characteristics, comorbidities and PRS were included in the model to predict the risk of severe COVID-19. The area under the receiver operating characteristic curve (AUROC) was applied to assess the models’ performance.

Results
We detected an association with rs73064425 at locus 3p21.31 reached the genome-wide level in GWAS (odds ratio: 1.55, 95% confidence interval: 1.36–1.78). Colocalization analysis found that two genes (SLC6A20 and LZTFL1) may affect the progression of COVID-19. In the predictive model, logistic regression models were selected due to simplicity and high performance. Predictive model consisting of demographic characteristics, comorbidities and genetic factors could precisely predict the patient’s progression (AUROC = 82.1%, 95% CI 80.6–83.7%). Nearly 20% of severe COVID-19 events could be attributed to genetic risk.

Conclusion
In this study, we identified two 3p21.31 genes as genetic susceptibility loci in patients with severe COVID-19. The predictive model includes demographic characteristics, comorbidities and genetic factors is useful to identify individuals who are predisposed to develop subsequent critical conditions among COVID-19 patients.
Neuromodulation and Opioid Use Disorder: Ethical Opportunities for Canada
Authors: Boyle Quinn , Illes Judy 
Published: May 2023

ABSTRACT:Despite increased efforts of government and non-government organisations to intervene via harm reduction and education initiatives, the opioid crisis has continued to worsen and has been exacerbated by the COVID-19 pandemic. In British Columbia, Canada, opioid overdose deaths in 2021 are the highest ever recorded. Neuromodulation procedures such as deep brain stimulation and repetitive transcranial magnetic stimulation have gained traction as treatments for opioid use disorder in various countries such as Germany, the Netherlands, the United States and China. However, these treatment options have been met with apprehension from both clinicians and patients, likely owing to fear, stigma and reluctance to label addiction as a brain disorder. Further complicating this landscape are socio-demographic factors, as marginalised communities are disproportionately burdened by addiction, while having poor access to care and a history of distrust in the health system. This multifactorial challenge involving many sociocultural factors requires culturally sensitive, interdisciplinary approaches to ensure direct-to-brain innovations are implemented ethically and equitably. This review summarises the state of the science for using neuromodulation to treat opioid use disorder, as well as the available ethical discourse surrounding the expansion of clinical trials and eventual widespread clinical implementation. Additional ethics discussions highlight opportunities for the engineering and clinical evolution of neuromodulation for opioid use disorder trials.
Interventional Psychiatry and Neurotechnologies: Education and Ethics Training
Authors: Giacobbe Peter , Burhan Amer M. , Waxman Robyn , Ng Enoch 
Published: May 2023

ABSTRACT:The last two decades have seen dramatic growth in the application of procedurally based interventions for treating refractory psychiatric conditions, leading to interest in developing the foundations for the subspecialty of “Interventional Psychiatry.” However, there is cause for concern that the rate of expansion of clinical advances in this field may be outpacing the ability of postgraduate curricula to provide sufficient exposure to and teaching and supervision of these treatments. The paucity of adequately trained practitioners in Interventional Psychiatry further exacerbates inequities in the ability of eligible patients to access and benefit from these approaches. This paper explores the rates of utilization of Interventional Psychiatry treatments, the current state of education in these treatments, and the role that training can play in translating scientific advances in this area to ensure equitable access and maximum impact at a population level. The majority of the discussion is centered on electroconvulsive therapy (ECT), the most established and available of these treatments, highlighting how enhancing education and training in ECT can reduce barriers to its utilization. It is argued that innovations in pedagogical approaches for disseminating the learning of these procedures are needed to increase the current low rates of competency in these treatments and can facilitate the more rapid dissemination of other Interventional Psychiatry approaches and neurotechnologies, such as repetitive transcranial magnetic stimulation, ketamine, deep brain stimulation, and focused ultrasound.
Populist Memory Politics and the Performance of Victimhood: Analysing the Political Exploitation of Historical Injustice in Central Europe
Authors: Meijen Jens , Vermeersch Peter 
Published: May 2023

AbstractRight-wing populists often mobilize popular support by employing a people-versus-elite dichotomy in which they cast ‘the people’ as the underdog, or by ‘performing’ crisis to discredit the elite. Such ‘underdogism’, and the reliance on crisis more broadly, remains an effective strategy for as long as populists are in opposition. But what happens when populists gain power? One would expect that they would not be able to exploit their position as effectively and their appeal would weaken drastically. In certain cases, however, they still manage to sustain the underdog illusion. This article argues that memory politics are an important locus for populists to maintain their underdog rhetoric, and within that field the performance of victimhood is key. Building on theories about the performance of crisis and recent trends in research on memory politics in Central Europe, we propose a framework for understanding how governing right-wing populists justify vindictive policies and thus try to cement their power.
Populism and emotions: a comparative study using Machine Learning
Authors: Caiani Manuela , Di Cocco Jessica 
Published: May 2023

AbstractThis study aims to unpack the mobilization of emotions in the political discourse of populist and non-populist parties and above all, across ‘varieties of populism’ (right wing vs. left wing or hybrid). Is there an empirical connection between emotions and populism? Are all types of populisms alike with regards to the emotional appeals within their political discourse? Focusing on Italy as a crucial case for populist communication and using a novel methodological approach based on supervised machine learning, it systematically investigates the intensity and trends of specific emotions in political discourses (institutional and informal, i.e. leaders’ speeches) of all Italian political parties over the last 20 years, for a corpus of more than 13,000 sentences analysed. The findings confirm that (i) populists tend to use more (and a broader repertoire of) emotional appeals than non-populist parties; however (ii) overall, there is an increase in the use of these appeals in the Italian political party discourse over time, especially in terms of negative emotions; and, most importantly, (iii) different types of emotions are mobilized by different types of populisms. Right wing populism mainly uses negative emotions while left wing or hybrid populism employs positive emotional appeals. The communication arena (party manifestoes vs. speeches) nevertheless does matter in the degree and types of emotions mobilized by political actors. This study identifies important implications for research on emotional appeals in politics, populist communication and political campaigning, and populist contagion from an emotion-based perspective.
Military Intimacies: Peruvian Veterans and Narratives about Sex and Violence
Authors: Boesten Jelke , Gavilán Lurgio 
Published: May 2023

AbstractThis article explores how sex and violence were part of the everyday making of the soldier in the Peruvian armed forces during the internal armed conflict between 1980 and 2000. In-depth interviews with Peruvian veterans indicate the importance of sex and violence in soldiers’ experience of becoming a combatant. The article analyzes the ambiguity in soldiers’ narratives about sex and violence, coercion, and consent, and how they are implicated in both receiving and enacting sexualized violence. In particular, authors discuss veterans’ accounts of collective experiences of sexualized hazing, abuse of women and girls, porn and prostitution, and references to gang rape. Soldiers, while in the army, experience intimacy through performative practices of sex and violence—which profoundly affect their interactions with one another—and the violence they perpetrate against enemy populations. These military intimacies, encouraged through institutional as well as cultural practices, help explain the prevalence of widespread sexual violence during the conflict.
Factual and counterfactual learning in major adolescent depressive disorder, evidence from an instrumental learning study
Authors: Shen Qiang , Fu Shiguang , Jiang Xiaoying , Huang Xiaoyu , Lin Doudou , Xiao Qingyan , Khadijah Sitti , Yan Yaping , Xiong Xiaoxing , Jin Jia , Ebstein Richard P. , Xu Ting , Wang Yiquan , Feng Jun 
Published: May 2023

AbstractBackgroundThe incidence of adolescent depressive disorder is globally skyrocketing in recent decades, albeit the causes and the decision deficits depression incurs has yet to be well-examined. With an instrumental learning task, the aim of the current study is to investigate the extent to which learning behavior deviates from that observed in healthy adolescent controls and track the underlying mechanistic channel for such a deviation.MethodsWe recruited a group of adolescents with major depression and age-matched healthy control subjects to carry out the learning task with either gain or loss outcome and applied a reinforcement learning model that dissociates valence (positive v. negative) of reward prediction error and selection (chosen v. unchosen).ResultsThe results demonstrated that adolescent depressive patients performed significantly less well than the control group. Learning rates suggested that the optimistic bias that overall characterizes healthy adolescent subjects was absent for the depressive adolescent patients. Moreover, depressed adolescents exhibited an increased pessimistic bias for the counterfactual outcome. Lastly, individual difference analysis suggested that these observed biases, which significantly deviated from that observed in normal controls, were linked with the severity of depressive symoptoms as measured by HAMD scores.ConclusionsBy leveraging an incentivized instrumental learning task with computational modeling within a reinforcement learning framework, the current study reveals a mechanistic decision-making deficit in adolescent depressive disorder. These findings, which have implications for the identification of behavioral markers in depression, could support the clinical evaluation, including both diagnosis and prognosis of this disorder.
What works in co-producing assistive technology solutions with older people: a scoping review of the evidence
Authors: Rolfe Steve , McCall Vikki , Gibson Grant , Pusram Angela , Robertson Jane 
Published: May 2023

AbstractAssistive technology for older people promises much, but the research evidence suggests that it delivers little. One hypothesis to explain the lack of positive impact is that assistive technology is often implemented with little involvement of older people or other stakeholders, such as family members or care staff. The suggestion is that co-production may ensure that assistive technology solutions are better tailored to people's needs, capacities and living situations. In this article, we review existing studies to examine what works in co-production in relation to processes of design and implementation of assistive technology for older people. Our results show a growing interest in co-production as an approach in this field, with a wide range of approaches being employed. We highlight a number of key lessons from the research, including key issues around who needs to be engaged in the co-production, as well as essential elements of the process itself. Our review suggests that there is considerable potential in using co-production to improve effectiveness of technological solutions to the challenges of age-related impairments. However, we also emphasise the need for more longitudinal research in this area, to examine whether such collaborative approaches can truly deliver the promise of assistive technology for older people.
Performance on the African neuropsychology battery using the learning ratio in a sample of healthy Congolese
Authors: Ikanga Jean , Taiwo Zinat , Lengu Ketrin , Epenge Emmanuel , Esambo Herve , Gikelekele Guy , Esselakoy Christian , Kavugho Immaculée , Mampunza Samuel M. , Hammers Dustin , Stringer Anthony , Spencer Robert J. 
Published: May 2023

AbstractObjective:Using the African Neuropsychology Battery (ANB), we seek to develop normative data by examining the demographic effects for two learning process scores: initial learning (Trial One) and learning ratio (LR, the percentage of items learned relative of to-be-learned material following Trial 1).Methods:Healthy participants from the Democratic Republic of Congo completed the four memory tests of the ANB: the African Story Memory Test (ASMT), African List Memory Test (ALMT), African Visuospatial Memory Test (AVMT), and African Contextual Visuospatial Memory Test (ACVMT). We developed indices of learning for each subtest, as well as aggregate learning indices for Trial 1 and LR, and composite indices examining verbal, visual, contextual, and noncontextual learning, and grand indices comprising all four subtests.Results:Trial 1 and LR scores each demonstrated acceptable intercorrelations across memory tests. We present normative data for Trial 1 and LR by age and education.Conclusion:These data provide normative standards for evaluating learning in Sub-Saharan Africa.
Characterizing the Role of Moisture and Smoke on the 2021 Santa Coloma de Queralt Pyroconvective Event Using WRF‐Fire
Authors: Eghdami Masih , Juliano Timothy W. , Jiménez Pedro A. , Kosovic Branko , Castellnou Marc , Kumar Rajesh , Vila‐Guerau de Arellano Jordi 
Published: May 2023

AbstractSmoke from wildfires or burning biomass directly affects air quality and weather through modulating cloud microphysics and radiation. A simple wildfire emission coupling of black carbon (BC) and organic carbon (OC) with microphysics was implemented using the Weather Research and Forecasting model's fire module. A set of large‐eddy simulations inspired by unique surface and upper atmospheric observations from the 2021 Santa Coloma de Queralt Fire (Spain) were conducted to investigate the influence of background conditions and interactions between atmospheric and fire processes such as fire smoke, ambient moisture, and latent heat release on the formation and evolution of pyroconvective clouds. While the microphysical impact of BC and OC emissions on the dynamics of fire behavior is minimal on short time scales (<6 hr), their presence increased the cloud water content and decreased the rain rates in our case study. In our case study, atmospheric moisture played an important role in the formation and development of pyroconvective clouds, which in turn enhanced the surface winds (8%) and fire spread rate (25%). The influence of fuel moisture on the pyroconvective cloud formation is smaller when compared with the atmospheric moisture content. A better representation of cloud processes can improve the mesoscale forecasts, which is important for better fire behavior modeling.