bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analyzing the Functional Interdependence of Verbal Behavior with Multiaxial Radar Charts
Authors: Mason Lee , Otero Maria , Andrews Alonzo 
Published: May 2024

AbstractThe functional analysis of complex verbal behavior requires an evaluation of topographically similar responses under multiple sources of control. Traditional graphical displays of behavior were designed to show the manipulation of isolated controlling variables and may not be amenable to displaying the multidimensional properties of complex behavior. Researchers have recently demonstrated the use of multiaxial radar charts for comparing the functional performance of biological systems. Here we extend the use of multidimensional analyses to compare the relative performance distributions of verbal behavior across four potential controlling variables. First, we provide a conceptual analysis of intraverbal and extraverbal control as continua along which stimuli range from formal to thematic and explain how the intersection of these stimulus fields creates a radar chart for multidimensional analysis. Then we demonstrate how data may be gathered through a verbal operant experimental analysis. We employed repeated measures to map the conditioning history of a child with autism spectrum disorder across 2 years of early intensive behavioral intervention and analyzed the results using shape descriptors for quantitative comparisons. We also compared the polygonal language profiles of children with autism against that of a neurotypical peer. Extending a multidimensional analysis to the field of verbal behavior provides the basis for a language growth chart that researchers and clinicians can use to monitor language acquisition over time. We discuss the use of radar charts as a framework for understanding the interdependence of verbal operants and suggest their use for complex analyses of complex verbal behavior.
The current use of proteomics and metabolomics in glomerulonephritis: a systematic literature review
Authors: Davies Elin , Chetwynd Andrew , McDowell Garry , Rao Anirudh , Oni Louise 
Published: May 2024

Abstract
Background
Glomerulonephritis inherently leads to the development of chronic kidney disease. It is the second most common diagnosis in patients requiring renal replacement therapy in the United Kingdom. Metabolomics and proteomics can characterise, identify and quantify an individual’s protein and metabolite make-up. These techniques have been optimised and can be performed on samples including kidney tissue, blood and urine. Utilising omic techniques in nephrology can uncover disease pathophysiology and transform the diagnostics and treatment options for glomerulonephritis.

Objectives
To evaluate the utility of metabolomics and proteomics using mass spectrometry and nuclear magnetic resonance in glomerulonephritis.

Methods
The systematic review was registered on PROSPERO (CRD42023442092). Standard and extensive Cochrane search methods were used. The latest search date was March 2023. Participants were of any age with a histological diagnosis of glomerulonephritis. Descriptive analysis was performed, and data presented in tabular form. An area under the curve or p-value was presented for potential biomarkers discovered.

Results
Twenty-seven studies were included (metabolomics (n = 9)), and (proteomics (n = 18)) with 1818 participants. The samples analysed were urine (n = 19) blood (n = 4) and biopsy (n = 6). The typical outcome themes were potential biomarkers, disease phenotype, risk of progression and treatment response.

Conclusion
This review shows the potential of metabolomic and proteomic analysis to discover new disease biomarkers that may influence diagnostics and disease management. Further larger-scale research is required to establish the validity of the study outcomes, including the several proposed biomarkers.

Graphical abstract
Lp-slam: language-perceptive RGB-D SLAM framework exploiting large language model
Authors: Zhang Weiyi , Guo Yushi , Niu Liting , Li Peijun , Wan Zeyu , Shao Fei , Nian Cheng , Farrukh Fasih Ud Din , Zhang Debing , Zhang Chun , Li Qiang , Zhang Jianwei 
Published: May 2024

AbstractWith the development of deep learning, a higher level of perception of the environment such as the semantic level can be achieved in the simultaneous localization and mapping (SLAM) domain. However, previous works did not achieve a natural-language level of perception. Therefore, LP-SLAM (Language-Perceptive RGB-D SLAM) is proposed that leverages large language models (LLMs). The texts in the scene can be detected by scene text recognition (STR) and mapped as landmarks with a task-driven selection. A text error correction chain (TECC) is designed with a similarity classification method, a two-stage memory strategy, and a text clustering method. The proposed architecture is designed to deal with the mis-detection and mis-recognition cases of STR and to provide accurate text information to the framework. The proposed framework takes input images and generates a 3D map with sparse point cloud and task-related texts. Finally, a natural user interface (NUI) is designed based on the constructed map and LLM, which gives position instructions based on users’ natural queries. The experimental results validated the proposed TECC design and the overall framework. We publish the virtual dataset with ground truth, as well as the source code for further research. https://github.com/GroupOfLPSLAM/LP_SLAM.
Rethinking Resistance as Relational – Resisting Psychologization in Psychology: Lessons from Carrère’s Between Two Worlds
Authors: Tommasi Francesco , Wolgemuth Jennifer R. , Carey Neil , Koro Mirka , Benozzo Angelo 
Published: May 2024

AbstractPsychology, and in particular mainstream positive psychology, is fuelled by discourses on resistance strategies, understood as the individual capacity to resist and adapt to negative and oppressive thoughts, circumstances, experiences, and social structures. Thisself-strategyof resistance is evident in positive psychology’s notions of resilience: grit, life-crafting, and job-crafting behaviors, for example. While positive psychology would have us believe these strategies are associated with overcoming hardship and living a good life, they risk imbricating people in their own oppressions. In this paper, we engage in a reading of Carrère’sBetween Two Worlds(original titleOuistreham) (2021),a movie featuring multiple examples of resistance. The movie shows how precarious workers enact self-strategies of resistance to fight for a decent and bearable life. They persevere despite ongoing hardships, seek joy amidst tragic life events, and find meaning in menial labor. However, resistance also appears as relational and political, and thus escapes and exceeds self-focused psychological categories of resistance. Resistance appears as the refusal to be understood solely in individual and individualizing ways – as a psychologized and knowable subject – and is characterized by relational, contextual, and political tactics. The movieprofanesestablished positive psychology’s individualist focus on resistance. This profanation of self-strategies of resistance affords an opportunity to rethink resistance beyond the individual and compels us to problematize the tendency to psychologize and individualize social phenomena. In doing so, our paper too resists the determination of psychological language (i.e., psychologization) and advances ideas for alternative resistances in, to, and of psychology.
Utilization of alkali-treated areca fibers for stabilizing silty sand soil for use in pavement subgrades: Analysis using IITPAVE software
Authors: Balreddy Muttana S. , Sajjan Sanjay S. , Pruthviraja Dayananda , Naganna Sujay Raghavendra 
Published: May 2024

AbstractThe increasing growth of urban areas and the rise in infrastructure development activities have put a strain on the availability of land with desirable soil conditions. This has led to the development of several stabilization techniques that can be used to improve the properties of weaker soils for construction. The research presented here explores the impact of inducing randomly oriented alkali-treated areca fibers for stabilization of silty sand soil. A sequence of experiments was carried out on the soil-fiber mixtures to investigate the strength of the soil after stabilization. At increments of 0.2%, the fiber dose varied between 0 – 0.8% of the dry weight of the soil. The tests conducted includes compaction tests, California bearing ratio (CBR), unconfined compression strength (UCS) tests, and unconsolidated undrained (UU) triaxial tests. The results obtained showed a notable increase in the strength of the soil-fiber mixtures. An increase in fiber content was found to increase the OMC (optimum moisture content) values and decrease the MDD (maximum dry unit weight) values. The maximum strength of the soil-fiber mixture was obtained at 0.6% fiber content. This makes it possible to use silty sand soil subgrades for low-volume roads with a traffic of less than 2 million standard axles based on the IITPAVE analysis. In essence, the test findings indicated that the ideal fiber content to be 0.6%. Stabilization of local on-site soils is one of the sustainable practices that can help extend the life of a pavement and lessen the need for more frequent repairs/maintenance.
Feasibility Analysis of a CubeSat Mission for Space Rider Observation and Docking
Authors: Chilin Laura , Bedendo Martina , Banzi Davide , Casara Riccardo , Costa Giovanni , Dolejsi Elisabetta , Quitadamo Vincenzo , Trabacchin Nicolò , Visconi Delia , Visentin Alessia , Basana Federico , Olivieri Lorenzo , Colombatti Giacomo , Francesconi Alessandro 
Published: May 2024

Abstract
In the last few years, the number of orbiting satellites has increased exponentially, in particular due to the development of the New Space Economy. Even if this phenomenon makes the space more accessible, bringing a great contribution to the scientific, economic and technological fields, on the other hand it contributes to the overpopulation of the space background. Therefore, it is necessary to develop new techniques to manage the space environment, such as in orbit servicing, which is a procedure that aims to refuel and repair satellites to extend their operational life. A first step to reach this goal is to inspect closely the object of interest to study its features. In this framework, the Space Rider Observer Cube (SROC) mission is being developed. SROC is a payload that will be deployed by Space Rider (SR), an uncrewed and reusable robotic spacecraft designed by ESA (European Space Agency). SROC is a 12U CubeSat, whose goal is to carry out inspection manoeuvres around SR, then re-enter on board using a safe docking system to come back to Earth. The feasibility of a mission similar to SROC has been simulated during a university class, starting from the definition of the system requirements with particular focus on the analysis of the payloads and subsystems, to ensure the achievement of the mission goals. In particular, the CubeSat is equipped with an imaging payload to capture high resolution images of Space Rider surface and a docking mechanism. Then, the design of the orbit and the simulation of the effects of the space environment on the CubeSat have been studied using GMAT, SYSTEMA, MATLAB and other numerical tools. The results of the study are useful for future missions, aiming to inspect orbiting objects, such as operative satellites for in orbit servicing, space debris and dead satellites to study their geometries and plan their removal.
Examining the opportunities for digital text production in the Australian Curriculum for the first years of school
Authors: Parker Mitchell , Mantei Jessica , Kervin Lisa 
Published: May 2024

AbstractDigital technology has long been ubiquitous in many communities within Australia and internationally, thereby requiring suitable digital proficiencies. While a majority of Australian children experience digital literacies as part of their everyday lives, limitations in access disadvantage others. In educational settings, there is a clear need for teachers to incorporate the digital literacies of learners while also working towards addressing inequities by providing rich literacy experiences that bring together print and digital forms of texts. Well-established understandings about the importance of literacy development early in a child’s life support teachers of the first years of school to teach essential digital literacies. In Australian schools, teachers are mandated by a range of documents, including the Australian Curriculum, that provide content for teachers to teach. Situated within a frame of New Literacies theories, this paper reports findings from analyses of the ways these mandated documents may support teachers in the first years of school to design learning experiences that respond to learners’ needs in producing digital texts. We then determine implications for teachers’ responsiveness to these documents. With the recent release of the Australian Curriculum version 9.0, we argue for the pedagogical knowledge that teachers require to implement digital text production experiences within the mandates of the curriculum and, consequently, the professional learning they need for realising the potential of all children’s digital capabilities in their classrooms.
Determination of heavy metals and health risk assessment in drinking water in Jigjiga City, Ethiopia
Authors: Belew Aderaw Anteneh , Besha Abreham Tesfaye , Belete Aychal Arega 
Published: May 2024

AbstractWater is essential to life on Earth, yet heavy metal concentrations in it can have negative consequences on people's health. This study was designed to measure the levels of seven heavy metals (Fe, Zn, Cu, Pb, Cr, Cd, and Ni) in the drinking groundwater of Jigjiga City and asses the associated health risk. Water samples were collected from 3 boreholes and 7 tap. The levels of the heavy metals were measured using Flame Atomic Absorption Spectroscopy (FAAS). Chronic daily intake (CDI), hazard quotient (HQ), hazard index (HI), and Incremental lifetime risk assessment (ILCR) were employed to assess the health risk. The findings showed that the concentrations of the heavy metals range from 7.77 ± 0.7 to 29.13 ± 7.22 mg/L for Fe; 0.06 ± 0.01–2.72 ± 0.29 mg/L for Zn; 0.65 ± 0.04–2.15 ± 0.63 mg/L for Cu; BDL–0.36; BDL–0.45 ± 0.24 mg/L for Pb; BDL–1.43 ± 0.15 mg/L for Cd; 0.01 ± 0–0.05 ± 0 mg/L for Cr and 0.03 ± 0.01–0.01 ± 0 mg/L for Ni. The HQ indices for heavy metals in various sampling sites were Cd > Ni > Cu > Pb > Fe > Cr > Zn for both adults and children. An elevated HQ indices for Cd emphasizing further data gathering is required. The ILCR showed that cadmium was the major risk factor for cancer particularly in children. This study will help both inhabitants and government bodies in tumbling heavy metals pollution of drinking water.
Hot spots, evolutionary trends, and future prospects for the sustainable development of the marine economy in the past 30 years: a comparative bibliometric analysis based on CiteSpace
Authors: Zheng Hui , Wang Yong 
Published: May 2024

AbstractHow to assess the quality of sustainable development is an important issue for the marine economy. This study examined studies on sustainable development of marine economy over the past 30 years using core databases from China National Knowledge Infrastructure and Web of Science. This study introduced bibliometric analysis methods and CiteSpace software to track and comparatively analyze the hotspots of studies from 1994 to 2023. This study showed that (1) the research on sustainable development of the marine economy has achieved extensive results. Researchers have already collaborated with those in China. (2) Hotspots for Chinese research are mainly focused on building an indicator system of marine economy's sustainable development, realizing the path of sustainable development of regional marine economy, and planning the sustainable development goals of specific marine industries. In contrast, other countries focus on protecting marine ecology and identifying the path of sustainable development of the marine industry. (3) Strengthening exchange and cooperation between institutions and scholars from various countries, and further studies on the micro-paths of blue carbon sinks, marine ecological civilization and high-quality development, low-carbon development of marine industries will become new hotspots for research.
RNA-binding proteins and exoribonucleases modulating miRNA in cancer: the enemy within
Authors: Seo Yoona , Rhim Jiho , Kim Jong Heon 
Published: May 2024

AbstractRecent progress in the investigation of microRNA (miRNA) biogenesis and the miRNA processing machinery has revealed previously unknown roles of posttranscriptional regulation in gene expression. The molecular mechanistic interplay between miRNAs and their regulatory factors, RNA-binding proteins (RBPs) and exoribonucleases, has been revealed to play a critical role in tumorigenesis. Moreover, recent studies have shown that the proliferation of hepatocellular carcinoma (HCC)-causing hepatitis C virus (HCV) is also characterized by close crosstalk of a multitude of host RBPs and exoribonucleases with miR-122 and its RNA genome, suggesting the importance of the mechanistic interplay among these factors during the proliferation of HCV. This review primarily aims to comprehensively describe the well-established roles and discuss the recently discovered understanding of miRNA regulators, RBPs and exoribonucleases, in relation to various cancers and the proliferation of a representative cancer-causing RNA virus, HCV. These have also opened the door to the emerging potential for treating cancers as well as HCV infection by targeting miRNAs or their respective cellular modulators.
A case of T-cell acute lymphoblastic leukemia in retroviral gene therapy for ADA-SCID
Authors: Cesana Daniela , Cicalese Maria Pia , Calabria Andrea , Merli Pietro , Caruso Roberta , Volpin Monica , Rudilosso Laura , Migliavacca Maddalena , Barzaghi Federica , Fossati Claudia , Gazzo Francesco , Pizzi Simone , Ciolfi Andrea , Bruselles Alessandro , Tucci Francesca , Spinozzi Giulio , Pais Giulia , Benedicenti Fabrizio , Barcella Matteo , Merelli Ivan , Gallina Pierangela , Giannelli Stefania , Dionisio Francesca , Scala Serena , Casiraghi Miriam , Strocchio Luisa , Vinti Luciana , Pacillo Lucia , Draghi Eleonora , Cesana Marcella , Riccardo Sara , Colantuono Chiara , Six Emmanuelle , Cavazzana Marina , Carlucci Filippo , Schmidt Manfred , Cancrini Caterina , Ciceri Fabio , Vago Luca , Cacchiarelli Davide , Gentner Bernhard , Naldini Luigi , Tartaglia Marco , Montini Eugenio , Locatelli Franco , Aiuti Alessandro 
Published: May 2024

AbstractHematopoietic stem cell gene therapy (GT) using a γ-retroviral vector (γ-RV) is an effective treatment for Severe Combined Immunodeficiency due to Adenosine Deaminase deficiency. Here, we describe a case of GT-related T-cell acute lymphoblastic leukemia (T-ALL) that developed 4.7 years after treatment. The patient underwent chemotherapy and haploidentical transplantation and is currently in remission. Blast cells contain a single vector insertion activating the LIM-only protein 2 (LMO2) proto-oncogene, confirmed by physical interaction, and low Adenosine Deaminase (ADA) activity resulting from methylation of viral promoter. The insertion is detected years before T-ALL in multiple lineages, suggesting that further hits occurred in a thymic progenitor. Blast cells contain known and novel somatic mutations as well as germline mutations which may have contributed to transformation. Before T-ALL onset, the insertion profile is similar to those of other ADA-deficient patients. The limited incidence of vector-related adverse events in ADA-deficiency compared to other γ-RV GT trials could be explained by differences in transgenes, background disease and patient’s specific factors.
Concomitant human papillomavirus (HPV) vaccination and screening for elimination of HPV and cervical cancer
Authors: Arroyo Mühr Laila Sara , Gini Andrea , Yilmaz Emel , Hassan Sadaf S. , Lagheden Camilla , Hultin Emilie , Garcia Serrano Ainhoa , Ure Agustin E. , Andersson Helena , Merino Roxana , Elfström K. Miriam , Baussano Iacopo , Dillner Joakim 
Published: May 2024

AbstractHPV vaccination with concomitant HPV-based screening of young women has been proposed for faster cervical cancer elimination. We describe the baseline results of a population-based trial of this strategy to reduce the incidence of HPV. All 89,547 women born 1994-1999 and resident in the capital region of Sweden were personally invited to concomitant HPV vaccination and HPV screening with 26,125 women (29.2%) enrolled between 2021-05-03 and 2022-12-31. Baseline HPV genotyping of cervical samples from the study participants finds, compared to pre-vaccination prevalences, a strong decline of HPV16 and 18 in birth cohorts previously offered vaccination, some decline for cross-protected HPV types but no decline for HPV types not targeted by vaccines. Our dynamic transmission modelling predicts that the trial could reduce the incidence of high-risk HPV infections among the 1994-1998 cohorts by 62-64% in 3 years. Baseline results are prevalences of HPV infection, validated transmission model projections, and power estimates for evaluating HPV incidence reductions at follow-up (+/−0.1% with 99.9% confidence). In conclusion, concomitant HPV vaccination and HPV screening appears to be a realistic option for faster cervical cancer elimination. Clinicaltrials.gov identifier: NCT04910802; EudraCT number: 2020-001169-34.
Large-language models facilitate discovery of the molecular signatures regulating sleep and activity
Authors: Peng Di , Zheng Liubin , Liu Dan , Han Cheng , Wang Xin , Yang Yan , Song Li , Zhao Miaoying , Wei Yanfeng , Li Jiayi , Ye Xiaoxue , Wei Yuxiang , Feng Zihao , Huang Xinhe , Chen Miaomiao , Gou Yujie , Xue Yu , Zhang Luoying 
Published: May 2024

AbstractSleep, locomotor and social activities are essential animal behaviors, but their reciprocal relationships and underlying mechanisms remain poorly understood. Here, we elicit information from a cutting-edge large-language model (LLM), generative pre-trained transformer (GPT) 3.5, which interprets 10.2–13.8% of Drosophila genes known to regulate the 3 behaviors. We develop an instrument for simultaneous video tracking of multiple moving objects, and conduct a genome-wide screen. We have identified 758 fly genes that regulate sleep and activities, including mre11 which regulates sleep only in the presence of conspecifics, and NELF-B which regulates sleep regardless of whether conspecifics are present. Based on LLM-reasoning, an educated signal web is modeled for understanding of potential relationships between its components, presenting comprehensive molecular signatures that control sleep, locomotor and social activities. This LLM-aided strategy may also be helpful for addressing other complex scientific questions.