bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structured early childhood education exposure and childhood cognition – Evidence from an Indian birth cohort
Authors: Koshy Beena , Srinivasan Manikandan , Srinivasaraghavan Rangan , Roshan Reeba , Mohan Venkata Raghava , Ramanujam Karthikeyan , John Sushil , Kang Gagandeep 
Published: June 2024

AbstractExperiences in early childhood form the bedrock of future human potential. In impoverished settings, structured early childhood education (ECE) in preschool years can augment overall childhood and later human abilities. The current study evaluates preschool learning exposure and childhood cognition, using longitudinal follow-up of a community-based birth cohort in Vellore, south India. The birth cohort study site in Vellore recruited 251 newborns between 2010 and 2012 from dense urban settlements and further followed up into childhood. Preschool enrolment details were obtained from parents. Childhood cognition was assessed by Weschler’s preschool primary scale of intelligence (WPPSI) and Malin’s intelligence scale for Indian Children (MISIC) at 5 and 9 years of age respectively. Bivariate and multivariate regression analyses were performed with adjustments for socio-economic status (SES), maternal education, stunting status and home environment. Out of 251 new-borns recruited into the MAL-ED birth cohort, 212 (84.46%) and 205 (81.7%) children were available for the 5 year and 9 year follow-up respectively. At 5 years, structured ECE of 18 to 24 months duration was significantly associated with higher cognition scores, with the highest increase in processing speed [β: 19.55 (11.26–27.77)], followed by full-scale intelligence [β: 6.75 (2.96–10.550)], even after adjustments for SES, maternal cognition, home factors and early childhood stunting status. Similarly adjusted analysis at 9 years showed that children who attended 1.5–2 years of structured ECE persisted to have higher cognition, especially in the performance domain [β: 8.82 (2.60–15.03)], followed by the full-scale intelligence [β: 7.24 (2.52–11.90)]. Follow-up of an Indian birth cohort showed that structured ECE exposure was associated with better school entry cognition as well as mid-childhood cognition. Strengthening ECE through a multi-pronged approach could facilitate to maximize cognitive potential of human capital.
Dysbiosis not observed in Canadian horses with free fecal liquid (FFL) using 16S rRNA sequencing
Authors: Wester Robert J. , Baillie Lyndsey L. , McCarthy Garrett C. , Keever Carson C. , Jeffery Lauren E. , Adams Paul J. 
Published: June 2024

AbstractFree Fecal Liquid (FFL), also termed Fecal Water Syndrome (FWS), is an ailment in horses characterized by variable solid and liquid (water) phases at defecation. The liquid phase can be excreted before, during, or after the solid defecation phase. While the underlying causes of FFL are unknown, hindgut dysbiosis is suggested to be associated with FFL. Three European studies investigated dysbiosis in horses with FFL using 16S rRNA sequencing and reported results that conflicted between each other. In the present study, we also used 16S rRNA sequencing to study the fecal microbial composition in 14 Canadian horses with FFL, and 11 healthy stable mate controls. We found no significant difference in fecal microbial composition between FFL and healthy horses, which further supports that dysbiosis is not associated with FFL.
Aqueductal CSF stroke volume is associated with the burden of perivascular space enlargement in chronic adult hydrocephalus
Authors: Gallina Pasquale , Porfirio Berardino , Caini Saverio , Lolli Francesco , Scollato Antonio 
Published: June 2024

AbstractThe inflow of CSF into perivascular spaces (PVS) in the brain is crucial for clearing waste molecules. Inefficiency in PVS flow leads to neurodegeneration. Failure of PVS flushing is associated with CSF flow impairment in the intracranial hydrodynamic condition of CSF hypo-pulsatility. However, enlarged PVS (ePVS), a finding indicative of PVS flow dysfunction, is also present in patients with derangement of CSF dynamics characterized by CSF hyper-pulsatility, which increases CSF flow. Intriguingly, two opposite intracranial hydrodynamic conditions would lead to the same result of impairing the PVS flushing. To investigate this issue, we assessed the subsistence of a dysfunctional interplay between CSF and PVS flows and, if the case, the mechanisms preventing a hyper-pulsatile brain from providing an effective PVS flushing. We analyzed the association between phase contrast MRI aqueductal CSF stroke volume (aqSV), a proxy of CSF pulsatility, and the burden of ePVS in chronic adult hydrocephalus, a disease involving a broad spectrum of intracranial hydrodynamics disturbances. In the 147 (85 males, 62 females) patients, the age at diagnosis ranged between 28 and 88 years (median 73 years). Ninety-seven patients had tri-ventriculomegaly and 50 tetra-ventriculomegaly. According to the extent of ePVS, 113 patients had a high ePVS burden, while 34 had a low ePVS burden. aqSV, which ranged between 0 and 562 μL (median 86 μL), was increased with respect to healthy subjects. Patients presenting with less ePVS burden had higher aqSV (p < 0.002, corrected for the multiple comparisons) than those with higher ePVS burden. The present study confirmed the association between CSF dynamics and PVS flow disturbances and demonstrated this association in intracranial hyper-pulsatility. Further studies should investigate the association between PVS flow failure and CSF hypo- and hyper-pulsatility as responsible/co-responsible for glymphatic failure in other neurodegenerative diseases, particularly in diseases in which CSF disturbances can be corrected, as in chronic adult hydrocephalus.
Effect of locomotor preference on the evolution of mitochondrial genes in Bovidae
Authors: Shi Lupeng , Wang Xibao , Yang Xiufeng , Lyu Tianshu , Wang Lidong , Zhou Shengyang , Dong Yuehuan , Wu Xiaoyang , Shang Yongquan , Zhang Honghai 
Published: June 2024

AbstractLocomotor preferences and habitat types may drive animal evolution. In this study, we speculated that locomotor preference and habitat type may have diverse influences on Bovidae mitochondrial genes. We used selection pressure and statistical analysis to explore the evolution of mitochondrial DNA (mtDNA) protein-coding genes (PCGs) from diverse locomotor preferences and habitat types. Our study demonstrates that locomotor preference (energy demand) drives the evolution of Bovidae in mtDNA PCGs. The habitat types had no significant effect on the rate of evolution in Bovidae mitochondrial genes. Our study provides deep insight into the adaptation of Bovidae.
Targeting the DYRK1A kinase prevents cancer progression and metastasis and promotes cancer cells response to G1/S targeting chemotherapy drugs
Authors: Laham Amina Jamal , El-Awady Raafat , Saber-Ayad Maha , Wang Ni , Yan Gang , Boudreault Julien , Ali Suhad , Lebrun Jean-Jacques 
Published: June 2024

AbstractMetastatic cancer remains incurable as patients eventually loose sensitivity to targeted therapies and chemotherapies, further leading to poor clinical outcome. Thus, there is a clear medical gap and urgent need to develop efficient and improved targeted therapies for cancer patients. In this study, we investigated the role of DYRK1A kinase in regulating cancer progression and evaluated the therapeutic potential of DYRK1A inhibition in invasive solid tumors, including colon and triple-negative breast cancers. We uncovered new roles played by the DYRK1A kinase. We found that blocking DYRK1A gene expression or pharmacological inhibition of its kinase activity via harmine efficiently blocked primary tumor formation and the metastatic tumor spread in preclinical models of breast and colon cancers. Further assessing the underlying molecular mechanisms, we found that DYRK1A inhibition resulted in increased expression of the G1/S cell cycle regulators while decreasing expression of the G2/M regulators. Combined, these effects release cancer cells from quiescence, leading to their accumulation in G1/S and further delaying/preventing their progression toward G2/M, ultimately leading to growth arrest and tumor growth inhibition. Furthermore, we show that accumulation of cancer cells in G1/S upon DYRK1A inhibition led to significant potentiation of G1/S targeting chemotherapy drug responses in vitro and in vivo. This study underscores the potential for developing novel DYRK1A-targeting therapies in colon and breast cancers and, at the same time, further defines DYRK1A pharmacological inhibition as a viable and powerful combinatorial treatment approach for improving G1/S targeting chemotherapy drugs treatments in solid tumors.
Deployment and validation of the CLL treatment infection model adjoined to an EHR system
Authors: Agius Rudi , Riis-Jensen Anders C. , Wimmer Bettina , da Cunha-Bang Caspar , Murray Daniel Dawson , Poulsen Christian Bjorn , Bertelsen Marianne B. , Schwartz Berit , Lundgren Jens Dilling , Langberg Henning , Niemann Carsten Utoft 
Published: June 2024

AbstractResearch algorithms are seldom externally validated or integrated into clinical practice, leaving unknown challenges in deployment. In such efforts, one needs to address challenges related to data harmonization, the performance of an algorithm in unforeseen missingness, automation and monitoring of predictions, and legal frameworks. We here describe the deployment of a high-dimensional data-driven decision support model into an EHR and derive practical guidelines informed by this deployment that includes the necessary processes, stakeholders and design requirements for a successful deployment. For this, we describe our deployment of the chronic lymphocytic leukemia (CLL) treatment infection model (CLL-TIM) as a stand-alone platform adjoined to an EPIC-based Danish Electronic Health Record (EHR), with the presentation of personalized predictions in a clinical context. CLL-TIM is an 84-variable data-driven prognostic model utilizing 7-year medical patient records and predicts the 2-year risk composite outcome of infection and/or treatment post-CLL diagnosis. As an independent validation cohort for this deployment, we used a retrospective population-based cohort of patients diagnosed with CLL from 2018 onwards (n = 1480). Unexpectedly high levels of missingness for key CLL-TIM variables were exhibited upon deployment. High dimensionality, with the handling of missingness, and predictive confidence were critical design elements that enabled trustworthy predictions and thus serves as a priority for prognostic models seeking deployment in new EHRs. Our setup for deployment, including automation and monitoring into EHR that meets Medical Device Regulations, may be used as step-by-step guidelines for others aiming at designing and deploying research algorithms into clinical practice.
Apoptosis signal-regulating kinase 1 promotes inflammation in senescence and aging
Authors: Odawara Takeru , Yamauchi Shota , Ichijo Hidenori 
Published: June 2024

AbstractCellular senescence is a stress-induced, permanent cell cycle arrest involved in tumor suppression and aging. Senescent cells secrete bioactive molecules such as pro-inflammatory cytokines and chemokines. This senescence-associated secretory phenotype (SASP) has been implicated in immune-mediated elimination of senescent cells and age-associated chronic inflammation. However, the mechanisms regulating the SASP are incompletely understood. Here, we show that the stress-responsive kinase apoptosis signal-regulating kinase 1 (ASK1) promotes inflammation in senescence and aging. ASK1 is activated during senescence and increases the expression of pro-inflammatory cytokines and chemokines by activating p38, a kinase critical for the SASP. ASK1-deficient mice show impaired elimination of oncogene-induced senescent cells and an increased rate of tumorigenesis. Furthermore, ASK1 deficiency prevents age-associated p38 activation and inflammation and attenuates glomerulosclerosis. Our results suggest that ASK1 is a driver of the SASP and age-associated chronic inflammation and represents a potential therapeutic target for age-related diseases.
Light painting photography makes particulate matter air pollution visible
Authors: Pope Francis D. , Price Robin , Woolley Katherine E. , Luiu Carlo , Alam Mohammed S. , Avis William R. , Bartington Suzanne E. , Debebe Dawit , Getaneh Zerihun , Greenfield Sheila M. , Howells Rachel , Khare Mukesh , Weldetinsae Abel , Lawson Chloe , Mishra Sumit K. , Neal Ben , Newman Karen , Singh Ajit , Teklu Wodajo Bikila , Thomas G. Neil , Wilder Faye 
Published: June 2024

AbstractThe World Health Organization estimates that air pollution causes approximately seven million premature deaths worldwide each year. Solutions to air pollution are well known, yet this rarely equates to easily actionable. Here we demonstrate how art science collaboration can successfully highlight the issue of air pollution and create wider civic discourse around its amelioration. We document a light painting photographic technique that uses data from calibrated low-cost particulate matter sensors to measure and depict air pollution. We also use a postcard technique to grasp individuals’ sentiments regarding air pollution. The photographs from three countries, Ethiopia, India and United Kingdom, visually highlight the importance of location and occupation upon human exposure. The photographs are used as a proxy to communicate and create dialogues, spaces and places about air pollution. The sentiment analysis shows how this approach can foster awareness and create agency for stakeholders to take actions to tackle air pollution.
Machine learning and hydrodynamic proxies for enhanced rapid tsunami vulnerability assessment
Authors: Scorzini Anna Rita , Di Bacco Mario , Sugawara Daisuke , Suppasri Anawat 
Published: June 2024

AbstractCoastal communities in various regions of the world are exposed to risk from tsunami inundation, requiring reliable modeling tools for implementing effective disaster preparedness and management strategies. This study advocates for comprehensive multi-variable models and emphasizes the limitations of traditional univariate fragility functions by leveraging a large, detailed dataset of ex-post damage surveys for the 2011 Great East Japan tsunami, hydrodynamic modeling of the event, and advanced machine learning techniques. It investigates the complex interplay of factors influencing building vulnerability to tsunami, with a specific focus on the hydrodynamic effects associated to tsunami propagation on land. Novel synthetic variables representing shielding and debris impact mechanisms prove to be suitable proxies for water velocity, offering a practical solution for rapid damage assessments, especially in post-event scenarios or large-scale analyses. Machine learning then emerges as a promising approach to tackle the complexities of vulnerability assessment, while providing valuable and interpretable insights.
Deficiency of CAMSAP2 impairs olfaction and the morphogenesis of mitral cells
Authors: Zhou Zhengrong , Yang Xiaojuan , Mao Aihua , Xu Honglin , Lin Chunnuan , Yang Mengge , Hu Weichang , Shao Jinhui , Xu Peipei , Li Yuejia , Li Wenguang , Lin Ruifan , Zhang Rui , Xie Qi , Xu Zhiheng , Meng Wenxiang 
Published: June 2024

AbstractIn developing olfactory bulb (OB), mitral cells (MCs) remodel their dendrites to establish the precise olfactory circuit, and these circuits are critical for individuals to sense odors and elicit behaviors for survival. However, how microtubules (MTs) participate in the process of dendritic remodeling remains elusive. Here, we reveal that calmodulin-regulated spectrin-associated proteins (CAMSAPs), a family of proteins that bind to the minus-end of the noncentrosomal MTs, play a crucial part in the development of MC dendrites. We observed that Camsap2 knockout (KO) males are infertile while the reproductive tract is normal. Further study showed that the infertility was due to the severe defects of mating behavior in male mice. Besides, mice with loss-of-function displayed defects in the sense of smell. Furthermore, we found that the deficiency of CAMSAP2 impairs the classical morphology of MCs, and the CAMSAP2-dependent dendritic remodeling process is responsible for this defect. Thus, our findings demonstrate that CAMSAP2 plays a vital role in regulating the development of MCs.
Bioactivity, hemocompatibility, and inflammatory response of calcium incorporated sulfonated polyether ether ketone on mouse-derived bone marrow cells
Authors: Saravanabhavan Shanmuga Sundar , Narayanaswamy Venkatesan Prabhu , Jonna Narendranath , Vasantha Palaniappan Kamalakannan , Sarang Zsolt , Natesan Balasubramanian , Sergi Consolato M. 
Published: June 2024

Abstract
Natural and synthetic polymeric materials, particularly soft and hard tissue replacements, are paramount in medicine. We prepared calcium-incorporated sulfonated polyether-ether ketone (SPEEK) polymer membranes for bone applications. The bioactivity was higher after 21 days of immersion in simulated body fluid (SBF) due to calcium concentration in the membrane. We present a new biomaterial healing system composed of calcium and sulfonated polyether ether ketone (Ca-SPEEK) that can function as a successful biomaterial without causing inflammation when tested on bone marrow cells. The Ca-SPEEK exhibited 13 ± 0.5% clot with low fibrin mesh formation compared to 21 ± 0.5% in SPEEK. In addition, the Ca-SPEEK showed higher protein adsorption than SPEEK membranes. As an inflammatory response, IL-1 and TNF-α in the case of Ca-SPEEK were lower than those for SPEEK. We found an early regulation of IL-10 in the case of Ca-SPEEK at 6 h, which may be attributed to the down-regulation of the inflammatory markers IL-1 and TNF-α. These results evidence the innovative bioactivity of Ca-SPEEK with low inflammatory response, opening venues for bone applications.
Spatiotemporal regulation of the hepatocyte growth factor receptor MET activity by sorting nexins 1/2 in HCT116 colorectal cancer cells
Authors: Garcia Delgado Laiyen , Derome Amélie , Longpré Samantha , Giroux-Dansereau Marilyne , Basbous Ghenwa , Lavoie Christine , Saucier Caroline , Denault Jean-Bernard 
Published: June 2024

Abstract
Cumulative research findings support the idea that endocytic trafficking is crucial in regulating receptor signaling and associated diseases. Specifically, strong evidence points to the involvement of sorting nexins (SNXs), particularly SNX1 and SNX2, in the signaling and trafficking of the receptor tyrosine kinase (RTK) MET in colorectal cancer (CRC). Activation of hepatocyte growth factor (HGF) receptor MET is a key driver of CRC progression. In the present study, we utilized human HCT116 CRC cells with SNX1 and SNX2 genes knocked out to demonstrate that their absence leads to a delay in MET entering early endosomes. This delay results in increased phosphorylation of both MET and AKT upon HGF stimulation, while ERK1/2 (extracellular signal-regulated kinases 1 and 2) phosphorylation remains unaffected. Despite these changes, HGF-induced cell proliferation, scattering, and migration remain similar between the parental and the SNX1/2 knockout cells. However, in the absence of SNX1 and SNX2, these cells exhibit increased resistance to TRAIL-induced apoptosis. This research underscores the intricate relationship between intracellular trafficking, receptor signaling, and cellular responses and demonstrates for the first time that the modulation of MET trafficking by SNX1 and SNX2 is critical for receptor signaling that may exacerbate the disease.
Data collection in IoT networks: Architecture, solutions, protocols and challenges
Authors: Abba Ari Ado Adamou , Aziz Hamayadji Abdoul , Njoya Arouna Ndam , Aboubakar Moussa , Djedouboum Assidé Christian , Thiare Ousmane , Mohamadou Alidou 
Published: June 2024

AbstractThe Internet of Things (IoT) is the recent technology intended to facilitate the daily life of humans by providing the power to connect, control and automate objects in the physical world. In this logic, the IoT helps to improve our way of producing and working in various areas (e.g. agriculture, industry, healthcare, transportation etc). Basically, an IoT network comprises physical devices, equipped with sensors and transmitters, that are interconnected with each other and/or connected to the Internet. Its main objective is to gather and transmit data to a storage system such as a server or cloud to enable processing and analysis, ultimately facilitating rapid decision‐making or enhancements to the user experience. In the realm of Connected Objects, an effective IoT data collection system plays a vital role by providing several benefits, such as real‐time data monitoring, enhanced decision‐making, increased operational efficiency etc. However, because of the resource limitations linked to connected objects, such as low memory and battery, or even single‐use devices etc. IoT data collecting presents several challenges including scalability, security, interoperability, flexibility etc. for both researchers and companies. The authors categorise current IoT data collection techniques and perform a comparative evaluation of these methods based on the topics analysed and elaborated by the authors. In addition, a comprehensive analysis of recent advances in IoT data collection is provided, highlighting different data types and sources, transmission protocols from connected sensors to a storage platform (server or cloud), the IoT data collection framework, and principles for streamlining the collection process. Finally, the most important research questions and future prospects for the effective collection of IoT data are summarised.