bluuebunny/crossref_metadata_2025_split huggingface dataset:
A “Prime and Expand” strategy using the multifunctional fusion proteins to generate memory-like NK cells for cell therapy
Authors: Shrestha Niraj , Dee Michael J. , Chaturvedi Pallavi , Leclerc Gilles M. , Mathyer Mary , Dufour Celeste , Arthur Laura , Becker-Hapak Michelle , Foster Mark , McClain Ethan , Pena Natalia Valderrama , Kage Karen , Zhu Xiaoyun , George Varghese , Liu Bai , Egan Jack , Echeverri Christian , Wang Meng , You Lijing , Kong Lin , Li Liying , Berrien-Elliott Melissa M. , Cooper Matthew L. , Fehniger Todd A. , Rhode Peter R. , Wong Hing C. 
Published: July 2024

AbstractAdoptive cellular therapy (ACT) using memory-like (ML) natural killer (NK) cells, generated through overnight ex vivo activation with IL-12, IL-15, and IL-18, has shown promise for treating hematologic malignancies. We recently reported that a multifunctional fusion molecule, HCW9201, comprising IL-12, IL-15, and IL-18 domains could replace individual cytokines for priming human ML NK cell programming (“Prime” step). However, this approach does not include ex vivo expansion, thereby limiting the ability to test different doses and schedules. Here, we report the design and generation of a multifunctional fusion molecule, HCW9206, consisting of human IL-7, IL-15, and IL-21 cytokines. We observed > 300-fold expansion for HCW9201-primed human NK cells cultured for 14 days with HCW9206 and HCW9101, an IgG1 antibody, recognizing the scaffold domain of HCW9206 (“Expand” step). This expansion was dependent on both HCW9206 cytokines and interactions of the IgG1 mAb with CD16 receptors on NK cells. The resulting “Prime and Expand” ML NK cells exhibited elevated metabolic capacity, stable epigenetic IFNG promoter demethylation, enhanced antitumor activity in vitro and in vivo, and superior persistence in NSG mice. Thus, the “Prime and Expand” strategy represents a simple feeder cell-free approach to streamline manufacturing of clinical-grade ML NK cells to support multidose and off-the-shelf ACT.
Characterization of chitin and description of its antimicrobial properties obtained from Cydalima perspectalis adults
Authors: Kılcı Leyla , Altun Nurver , Karaoğlu Şengül Alpay , Karaduman Yeşildal Tuğçe 
Published: July 2024

AbstractChitin is the most abundant biopolymer group after cellulose and forms the exoskeleton of arthropods, the largest animal group. The morphology of chitin differs between and within species. In this study, we determined the physicochemical and biological activity of chitin samples obtained from different body parts of the boxwood moth Cydalima perspectalis for its application as a biotechnological material. The collected chitin samples were characterized by scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), and elemental analysis. FTIR confirms that the isolation of chitin is successful. The SEM results showed that the surface morphology of the obtained chitins was both fibrous and porous and had a rough surface. As a result of the elemental analysis, the %N values of chitins were calculated as 6.60 on average, and the values were shown to be close to each other. We also investigated the biocompatibility and antimicrobial properties of these chitin samples. We used L929 (mouse fibroblast) cells to perform indirect cytotoxicity experiments and investigated their viability by performing the MTT assay. Our findings showed that the samples had no cytotoxic effect on the L929 cells at 24, 48, and 72 h. The cytotoxic study showed that Escherichia coli, Bacillus subtilis, Staphylococcus aureus bacteria, and Candida albican fungi adhered to chitin surfaces regarding biofilm production. The chitin contents were determined as 21.02% for the head, 5.74% for the body, 32.22% for the wing, 33.53% for the legs, and 2.65% for the pupal shell. Chitin is a material with high potential for use in various fields. Our findings suggested that Cydalima perspectalis can be used as an alternative source of chitin in biomedical applications.
Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features
Authors: Wenzel Charlotte , Liebig Thomas , Swoboda Adrian , Smolareck Rika , Schlagheck Marit L. , Walzik David , Groll Andreas , Goulding Richie P. , Zimmer Philipp 
Published: July 2024

Abstract
Purpose
Cardiopulmonary exercise testing (CPET) is considered the gold standard for assessing cardiorespiratory fitness. To ensure consistent performance of each test, it is necessary to adapt the power increase of the test protocol to the physical characteristics of each individual. This study aimed to use machine learning models to determine individualized ramp protocols based on non-exercise features. We hypothesized that machine learning models will predict peak oxygen uptake ($$\dot{V}$$

V
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O2peak) and peak power output (PPO) more accurately than conventional multiple linear regression (MLR).

Methods
The cross-sectional study was conducted with 274 (♀168, ♂106) participants who performed CPET on a cycle ergometer. Machine learning models and multiple linear regression were used to predict $$\dot{V}$$

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O2peak and PPO using non-exercise features. The accuracy of the models was compared using criteria such as root mean square error (RMSE). Shapley additive explanation (SHAP) was applied to determine the feature importance.

Results
The most accurate machine learning model was the random forest (RMSE: 6.52 ml/kg/min [95% CI 5.21–8.17]) for $$\dot{V}$$

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O2peak prediction and the gradient boosting regression (RMSE: 43watts [95% CI 35–52]) for PPO prediction. Compared to the MLR, the machine learning models reduced the RMSE by up to 28% and 22% for prediction of $$\dot{V}$$

V
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O2peak and PPO, respectively. Furthermore, SHAP ranked body composition data such as skeletal muscle mass and extracellular water as the most impactful features.

Conclusion
Machine learning models predict $$\dot{V}$$

V
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O2peak and PPO more accurately than MLR and can be used to individualize CPET protocols. Features that provide information about the participant's body composition contribute most to the improvement of these predictions.

Trial registration number
DRKS00031401 (6 March 2023, retrospectively registered).
Pyroptosis-related long-noncoding RNA signature predicting survival and immunotherapy efficacy in patients with lung squamous cell carcinoma
Authors: Zhan Xiang , Li Jixian , Ding Yi , Zhou Fengge , Zeng Renya , Lei Lingli , Zhang Ying , Feng Alei , Qu Yan , Yang Zhe 
Published: July 2024

AbstractPyroptosis-related long-noncoding RNAs (PRlncRNAs) play an important role in cancer progression. However, their role in lung squamous cell carcinoma (LUSC) is unclear. A risk model was constructed using the least absolute shrinkage and selection operator (LASSO) Cox regression analysis based on RNA sequencing data from The Cancer Genome Atlas database. The LUSC cohort was divided into high- and low-risk groups based on the median risk score. For the prognostic value of the model, the Kaplan–Meier analysis, log-rank test, and Cox regression analysis were performed. A nomogram was constructed to predict the prognosis of patients, using a risk score and clinical parameters such as age, sex, clinical stage, and tumor node metastasis classification (TNM) stage. Afterwards, six common algorithms were employed to assess the invasion of immune cells. The Gene Set Enrichment Analysis (GSEA) was conducted to identify differences between patients at high and low risk. Furthermore, the pRRophetic package was employed to forecast the half-maximal inhibitory doses of prevalent chemotherapeutic drugs, while the tumor immune dysfunction and exclusion score was computed to anticipate the response to immunotherapy. The expression levels of the seven PRlncRNAs were examined in both LUSC and normal lung epithelial cell lines using RT-qPCR. Proliferation, migration, and invasion assays were also carried out to investigate the role of MIR193BHG in LUSC cells. Patients in the low-risk group showed prolonged survival in the total cohort or subgroup analysis. The Cox regression analysis showed that the risk model could act as an independent prognostic factor for patients with LUSC. The results of GSEA analysis revealed that the high-risk group showed enrichment of cytokine pathways, Janus tyrosine kinase/signal transducer and activator of the transcription signalling pathway, and Toll-like receptor pathway. Conversely, the low-risk group showed enrichment of several gene repair pathways. Furthermore, the risk score was positively correlated with immune cell infiltration. Moreover, patients in the high-risk category showed reduced responsiveness to conventional chemotherapeutic medications and immunotherapy. The majority of the long noncoding RNAs in the risk model were confirmed to be overexpressed in LUSC cell lines compared to normal lung epithelial cell lines by in vitro tests. Further studies have shown that downregulating the expression of MIR193BHG may inhibit the growth, movement, and infiltration capabilities of LUSC cells, whereas increasing the expression of MIR193BHG could enhance these malignant tendencies. This study found that PRlncRNAs were linked to the prognosis of LUSC patients. The risk model, evaluated across various clinical parameters and treatment modalities, shows potential as a future reference for clinical applications.
MRI of kidney size matters
Authors: Niendorf Thoralf , Gladytz Thomas , Cantow Kathleen , Klein Tobias , Tasbihi Ehsan , Velasquez Vides Jose Raul , Zhao Kaixuan , Millward Jason M. , Waiczies Sonia , Seeliger Erdmann 
Published: July 2024

Abstract
Objective
To highlight progress and opportunities of measuring kidney size with MRI, and to inspire research into resolving the remaining methodological gaps and unanswered questions relating to kidney size assessment.

Materials and methods
This work is not a comprehensive review of the literature but highlights valuable recent developments of MRI of kidney size.

Results
The links between renal (patho)physiology and kidney size are outlined. Common methodological approaches for MRI of kidney size are reviewed. Techniques tailored for renal segmentation and quantification of kidney size are discussed. Frontier applications of kidney size monitoring in preclinical models and human studies are reviewed. Future directions of MRI of kidney size are explored.

Conclusion
MRI of kidney size matters. It will facilitate a growing range of (pre)clinical applications, and provide a springboard for new insights into renal (patho)physiology. As kidney size can be easily obtained from already established renal MRI protocols without the need for additional scans, this measurement should always accompany diagnostic MRI exams. Reconciling global kidney size changes with alterations in the size of specific renal layers is an important topic for further research. Acute kidney size measurements alone cannot distinguish between changes induced by alterations in the blood or the tubular volume fractions—this distinction requires further research into cartography of the renal blood and the tubular volumes.
When Being Bad Feels Good: A Systematic Review of the Relationship Between Positive Emotion and Antisocial Behavior in Children and Adolescents
Authors: Moore Jessica , Tam Lok Yee Chloe , Allen Jennifer L. 
Published: July 2024

AbstractAntisocial behavior in childhood and adolescence is associated with poor family and peer relationships, and a higher risk of mental and physical health problems in adulthood, as well as criminality. Emotions play a central role in children’s moral development, but most research has focused on negative emotions (e.g., shame and guilt), in relation to childhood antisocial behavior. Research in adult populations indicates that positive emotions experienced in anticipation of, during, and after antisocial acts may play an important role in the development and maintenance of antisocial behavior. Consequently, this systematic review aimed to investigate the relationship between positive emotion and antisocial behavior in children and adolescents. A systematic search in five databases was conducted, yielding 52 studies that used different methodological approaches, samples, designs and methods to examine this association. Results provide support for a positive relationship between positive emotion and antisocial behavior across community, forensic and clinical samples. This link appeared to be stronger for younger children, boys, and for children high in social dominance, callous-unemotional or sensation-seeking traits. Results suggested that positive affect may act in concert with negative emotion, cognitive, personality and motivational processes, as well as peer influences to determine the initiation and maintenance of antisocial behavior. This review presents directions for future research and discusses the implications of findings for prevention and intervention programs for youth with antisocial behavior.
Cellulose formulations for hair modelling
Authors: Carvalho José Pedro , Martins Madalena , Cavaco-Paulo Artur 
Published: July 2024

AbstractChemical processes to change the hair shape can lead to damaged hair fibre. Here, we propose benign formulations based on different types of cellulose using imidazolium ionic liquids (ILs) and a commercial serum as solvents. Formulations with concentrations at 3% and 0.5% of HEC (Hydroxyethyl cellulose) and CMC (Carboxymethylcellulose) showed the best results after washing, around 10% of curling effect. Images from fluorescence microscopy enable to observe the coating layer formed on the surface of the hair fiber. ATR-FTIR corroborate the presence of functional groups of cellulose on the coated hair fiber. SEM images revealed that the treated hair fiber preserved it structural integrity, especially for the 3% CMC formulation. Those formulations also presented good mechanical wear determined by mass loss percentage. The novelty of this work is the methodology established associated with the cellulose formulation for hair modelling up to three washes.
Graphical Abstract
Confounded or Controlled? A Systematic Review of Media Comparison Studies Involving Immersive Virtual Reality for STEM Education
Authors: Lawson Alyssa P. , Martella Amedee Marchand , LaBonte Kristen , Delgado Cynthia Y. , Zhao Fangzheng , Gluck Justin A. , Munns Mitchell E. , Wells LeRoy Ashleigh , Mayer Richard E. 
Published: July 2024

AbstractA substantial amount of media comparison research has been conducted in the last decade to investigate whether students learn Science, Technology, Engineering, and Mathematics (STEM) content better in immersive virtual reality (IVR) or more traditional learning environments. However, a thorough review of the design and implementation of conventional and IVR conditions in media comparison studies has not been conducted to examine the extent to which specific affordances of IVR can be pinpointed as the causal factor in enhancing learning. The present review filled this gap in the literature by examining the degree to which conventional and IVR conditions have been controlled on instructional methods and content within the K-12 and higher education STEM literature base. Thirty-eight published journal articles, conference proceedings, and dissertations related to IVR comparison studies in STEM education between the years 2013 and 2022 were coded according to 15 categories. These categories allowed for the extraction of information on the instructional methods and content characteristics of the conventional and IVR conditions to determine the degree of control within each experimental comparison. Results indicated only 26% of all comparisons examined between an IVR and conventional condition were fully controlled on five key control criteria. Moreover, 40% of the comparisons had at least one confound related to instructional method and content. When looking at the outcomes of the studies, it was difficult to gather a clear picture of the benefits or pitfalls of IVR when much of the literature was confounded and/or lacked sufficient information to determine if the conditions were controlled on key variables. Implications and recommendations for future IVR comparison research are discussed.
Co-designing Data-Driven Educational Technology and Practice: Reflections from the Japanese Context
Authors: Ogata Hiroaki , Liang Changhao , Toyokawa Yuko , Hsu Chia-Yu , Nakamura Kohei , Yamauchi Taisei , Flanagan Brendan , Dai Yiling , Takami Kyosuke , Horikoshi Izumi , Majumdar Rwitajit 
Published: July 2024

AbstractThis paper explores co-design in Japanese education for deploying data-driven educational technology and practice. Although there is a growing emphasis on data to inform educational decision-making and personalize learning experiences, challenges such as data interoperability and inconsistency with teaching goals prevent practitioners from participating. Co-design, characterized by involving various stakeholders, is instrumental in addressing the evolving needs of technology deployment. Japan's educational context aligns with co-design implementation, with a learning and evidence analytics infrastructure facilitating data collection and analysis. From the Japanese co-design practice of educational technologies, the paper highlights a 6-phase co-design framework: motivate, pilot, implement, refine, evaluate, and maintain. The practices focus on data-driven learning strategies, technology interventions, and across-context dashboards, covering assorted learning contexts in Japan. By advocating for a co-design culture and data-driven approaches to enhance education in Japan, we offer insights for education practitioners, policymakers, researchers, and industry developers.
Double Trouble! Do Workplace Supports Mitigate Lost Productivity for Young Workers with Both Severe Rheumatic Diseases and Depressive Symptoms?
Authors: Dobson Kathleen G. , Gignac Monique A. M. , Tucker Lori , Jetha Arif 
Published: July 2024

Abstract
Background
The objectives of this longitudinal study were to understand how comorbid rheumatic disease and depression symptoms were associated with at-work productivity among young adults, and to examine whether workplace support modified this association.

Methods
Seventy-six Canadian young adults who were employed and living with a rheumatic disease were surveyed three times over 27 months. Morbidity was defined by whether participants reported severe rheumatic disease symptoms and/or depressive symptoms. Participants were asked about presenteeism, absenteeism, and whether the workplace support needs (accommodation and benefit availability and use) were met. Generalized estimating equations were used to address study objectives.

Results
Seventeen participants experienced neither severe rheumatic disease nor depressive symptoms (no morbidity), 42 participants experienced either severe rheumatic disease or depressive symptoms (single morbidity), and 17 participants reported comorbidity at baseline. Participants with comorbidity reported greater presenteeism scores and were most likely to report absenteeism, compared to the other two morbidity levels. Having workplace support needs met was associated with decreased presenteeism over the 27-month period among participants with no and a single morbidity. Conversely, unmet support need was associated with greater presenteeism for participants with comorbidity. Having workplace support needs met did not modify the association between morbidity and absenteeism.

Conclusion
Comorbid rheumatic disease and depression burden reduce productivity among young adults. A supportive work environment has the potential to address at-work productivity challenges. Additional research is needed to understand how workplace supports coupled with clinical interventions may tackle challenges at work for young adults living with rheumatic disease and depression.
Hadal zones of the Southwest Pacific and east Indian oceans
Authors: Jamieson Alan J. , Giles Gaelen T. , Stewart Heather A. 
Published: July 2024

AbstractThe hadal zone (water depths > 6000 m) are unlike the overlying shallower marine regions (bathyal and abyssal) as it does not follow a continuum from the continental shelves to abyssal plains, but rather exhibits a globally disjunct series of discrete deep-sea habitats confined within geomorphological features. From an ecological perspective, hadal communities are often endemic to individual or adjacent features and are partitioned and isolated by geomorphological structures. To examine the size, shape, depth and degree of isolation of features where hadal fauna inhabit, this study explores the broad seafloor geomorphology, and distinctly partitioned hadal areas, across the Southwest Pacific and East Indian oceans using global bathymetric datasets. This research revealed the area occupied by hadal depths to be 716,915 km2 of which 58% are accounted for by trenches, 37% in basins and troughs, and 5% fracture zones. The largest feature in terms of area > 6000 m depth is the Wharton Basin with 218,030 km2 spanning 376 discrete areas. The largest continuous hadal habitats were the Kermadec and Tonga trenches at 145,103 and 111,951 km2 respectively, whereas features such as the Java Trench comprise two hadal components partitioned by a bathymetric high. Conversely, no physical barrier exists between the New Britain and Bougainville trenches thus any literature pertaining to hadal species or habitats from these trenches can be merged. This study highlights that the hadal zone mainly comprises two main geomorphological features (trenches and basins) that differ in size, depth and complexity. Hadal basins cover vast, generally shallower areas, comparable to abyssal plains, whereas trenches, despite a lesser footprint, represent greater depth ranges and complexity. As such, sampling designs and interpretation of ecological data must differ and hadal basins likely play an increasingly important role in understanding ecological shifts from abyssal to hadal ecosystems.
Learning from disability studies to introduce the role of the individual to naturalistic accounts of disease
Authors: Altinok Ozan Altan 
Published: July 2024

AbstractDisability studies have been successfully focusing on individuals' lived experiences, the personalization of goals, and the constitution of the individual in defining disease and restructuring public understandings of disability. Although they had a strong influence in the policy making and medical modeling of disease, their framework has not been translated to traditional naturalistic accounts of disease. I will argue that, using new developments in evolutionary biology (Extended Evolutionary Synthesis [EES] about questions of proper function) and behavioral ecology (Niche conformance and construction about the questions of reference classes in biostatistics accounts), the main elements of the framework of disability studies can be used to represent life histories at the conceptual level of the two main “non-normative” accounts of disease. I chose these accounts since they are related to medicine in a more descriptive way. The success of the practical aspects of disability studies this way will be communicated without causing injustice to the individual since they will represent the individuality of the patient in two main naturalistic accounts of disease: the biostatistical account and the evolutionary functional account. Although most accounts criticizing the concept of disease as value-laden do not supply a positive element, disability studies can supply a good point for descriptive extension of the concept through inclusion of epistemic agency.