bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ustekinumab for type 1 diabetes in adolescents: a multicenter, double-blind, randomized phase 2 trial
Authors: Tatovic Danijela , Marwaha Ashish , Taylor Peter , Hanna Stephanie J. , Carter Kym , Cheung W. Y. , Luzio Steve , Dunseath Gareth , Hutchings Hayley A. , Holland Gail , Hiles Steve , Fegan Greg , Williams Evangelia , Yang Jennie H. M. , Domingo-Vila Clara , Pollock Emily , Wadud Muntaha , Ward-Hartstonge Kirsten , Marques-Jones Susie , Bowen-Morris Jane , Stenson Rachel , Levings Megan K. , Gregory John W. , Tree Timothy I. M. , Dayan Colin ,   USTEKID Study Group, Gevers Evelien , Kanumakala Shankar , Nair Sunil , Gardner Chris , Ajzensztejn Michal , Wei Christina , Mouditis Chris , Campbell Fiona , Greening James , Webb Emma , Chen Mimi , Amin Rakesh , White Billi , Shetty Ambika , Bidder Chris , Conway Nicholas , Mayo Amalia , Christakou Eleni , Sychowska Kamila , Shahrabi Yasaman , Robinson Maximilian , Ahmed Simi , Dutz Jan , Cook Laura 
Published: July 2024

AbstractImmunotherapy targeting the autoimmune process in type 1 diabetes (T1D) can delay the loss of β-cells but needs to have minimal adverse effects to be an adjunct to insulin in the management of T1D. Ustekinumab binds to the shared p40 subunit of interleukin (IL)-12 and IL-23, targeting development of T helper 1 cells and T helper 17 cells (TH1 and TH17 cells) implicated in the pathogenesis of T1D. We conducted a double-blind, randomized controlled trial of ustekinumab in 72 adolescents aged 12–18 years with recent-onset T1D. Treatment was well tolerated with no increase in adverse events. At 12 months, β-cell function, measured by stimulated C-peptide, was 49% higher in the intervention group (P = 0.02), meeting the prespecified primary outcome. Preservation of C-peptide correlated with the reduction of T helper cells co-secreting IL-17A and interferon-γ (TH17.1 cells, P = 0.04) and, in particular, with the reduction in a subset of TH17.1 cells co-expressing IL-2 and granulocyte–macrophage colony-stimulating factor (IL-2+ GM-CSF+ TH17.1 cells, P = 0.04). A significant fall in β-cell-targeted (proinsulin-specific) IL-17A-secreting T cells was also seen (P = 0.0003). Although exploratory, our data suggest a role for an activated subset of TH17.1 cells in T1D that can be targeted with minimal adverse effects to reduce C-peptide loss, which requires confirmation in a larger study. (International Standard Randomised Controlled Trial Number Registry: ISRCTN 14274380).
Predictive value of inflammation and nutritional index in immunotherapy for stage IV non-small cell lung cancer and model construction
Authors: Lei Wenqian , Wang Wei , Qin Shixiang , Yao Weirong 
Published: July 2024

AbstractIdentifying individuals poised to gain from immune checkpoint inhibitor (ICI) therapies is a pivotal element in the realm of tailored healthcare. The expression level of Programmed Death Ligand 1 (PD-L1) has been linked to the response to ICI therapy, but its assessment typically requires substantial tumor tissue, which can be challenging to obtain. In contrast, blood samples are more feasible for clinical application. A number of promising peripheral biomarkers have been proposed to overcome this hurdle. This research aims to evaluate the prognostic utility of the albumin-to-lactate dehydrogenase ratio (LAR), the Pan-immune-inflammation Value (PIV), and the Prognostic Nutritional Index (PNI) in predicting the response to ICI therapy in individuals with advanced non-small cell lung cancer (NSCLC). Furthermore, the study seeks to construct a predictive nomogram that includes these markers to facilitate the selection of patients with a higher likelihood of benefiting from ICI therapy. A research initiative scrutinized the treatment records of 157 advanced NSCLC patients who received ICI therapy across two Jiangxi medical centers. The cohort from Jiangxi Provincial People’s Hospital (comprising 108 patients) was utilized for the training dataset, while the contingent from Jiangxi Cancer Hospital (49 patients) served for validation purposes. Stratification was based on established LAR, PIV, and PNI benchmarks to explore associations with DCR and ORR metrics. Factorial influences on ICI treatment success were discerned through univariate and multivariate Cox regression analysis. Subsequently, a Nomogram was devised to forecast outcomes, its precision gauged by ROC and calibration curves, DCA analysis, and cross-institutional validation. In the training group, the optimal threshold values for LAR, PIV, and PNI were identified as 5.205, 297.49, and 44.6, respectively. Based on these thresholds, LAR, PIV, and PNI were categorized into high (≥ Cut-off) and low (< Cut-off) groups. Patients with low LAR (L-LAR), low PIV (L-PIV), and high PNI (H-PNI) exhibited a higher disease control rate (DCR) (P < 0.05) and longer median progression-free survival (PFS) (P < 0.05). Cox multivariate analysis indicated that PS, malignant pleural effusion, liver metastasis, high PIV (H-PIV), and low PNI (L-PNI) were risk factors adversely affecting the efficacy of immunotherapy (P < 0.05). The Nomogram model predicted a concordance index (C-index) of 0.78 (95% CI: 0.73–0.84). The areas under the ROC curve (AUC) for the training group at 6, 9, and 12 months were 0.900, 0.869, and 0.866, respectively, while the AUCs for the external validation group at the same time points were 0.800, 0.886, and 0.801, respectively. Throughout immunotherapy, PIV and PNI could act as prospective indicators for forecasting treatment success in NSCLC patients, while the devised Nomogram model exhibits strong predictive performance for patient prognoses.
Application of hybridized ensemble learning and equilibrium optimization in estimating damping ratios of municipal solid waste
Authors: Moradi Moghaddam Hossein , Keramati Mohsen , Bahrami Alireza , Ghanizadeh Ali Reza , Amlashi Amir Tavana , Isleem Haytham F. , Navazani Mohsen , Dessouky Samer 
Published: July 2024

AbstractThe dynamic analysis of municipal solid waste (MSW) is essential for optimizing landfills and advancing sustainable development goals. Assessing damping ratio (D), a critical dynamic parameter, under laboratory conditions is costly and time-consuming, requiring specialized equipment and expertise. To streamline this process, this research leveraged several novel ensemble machine learning models integrated with the equilibrium optimizer algorithm (EOA) for the predictive analysis of damping characteristics. Data were gathered from 153 cyclic triaxial experiments on MSW, which examined the age, shear strain, weight, frequency, and percentage of plastic content. Analysis of a correlation heatmap indicated a significant dependence of D on shear strain within the collected MSW data. Subsequently, five advanced machine learning methods—adaptive boosting (AdaBoost), gradient boosting regression tree (GBRT), extreme gradient boosting (XGBoost), random forest (RF), and cubist regression—were employed to model D in landfill structures. Among these, the GBRT-EOA model demonstrated superior performance, with a coefficient of determination (R2) of 0.898, root mean square error of 1.659, mean absolute error of 1.194, mean absolute percentage error of 0.095, and an a20-index of 0.891 for the test data. A Shapley additive explanation analysis was conducted to validate these models further, revealing the relative contributions of each studied variable to the predicted D-MSW. This holistic approach not only enhances the understanding of MSW dynamics but also aids in the efficient design and management of landfill systems.
Ego-depletion and motor skill performance under pressure—experimental effects of a short term virtual-reality based mindfulness breathing meditation with integrated biofeedback
Authors: Wagner Matthias , Wieczorek Alissa 
Published: July 2024

AbstractEgo-depletion describes a state of mind, where the capacity for self-control is temporarily depleted after a primary self-control action. The aim of this study was to investigate whether a brief virtual reality-based mindfulness breathing meditation with integrated biofeedback can be considered an effective strategy to counteract the detrimental effects of ego depletion on motor skill performance under pressure. The study included two experiments, each of them designed as counterbalanced cross-over trials and based on an a priori sample-size calculation. Within each experiment, participants completed two appointments in a randomly assigned order, during which they were asked to perform 20 basketball free throws (N = 18; Experiment 1) or 20 penalty kicks at a football goal in four target squares (N = 16; Experiment 2) under pressure pre and post the following conditions: Stroop-test-induced ego depletion followed by a 15 min resting break, Stroop-test-induced ego depletion followed by a 15 min virtual reality-based mindfulness breathing meditation with integrated biofeedback. Results indicate that, in comparison to a resting break, a brief virtual reality-based mindfulness meditation with integrated biofeedback can counteract the detrimental effects of ego-depletion (Experiment 2) and enhance motor skill performance under pressure (Experiment 1, 2) Implications for researchers and practitioners are derived in light of the identified methodological limitations.
Refined tamoxifen administration in mice by encouraging voluntary consumption of palatable formulations
Authors: Vanhecke Dominique , Bugada Viola , Steiner Regula , Polić Bojan , Buch Thorsten 
Published: July 2024

AbstractDrug administration in preclinical rodent models is essential for research and the development of novel therapies. Compassionate administration methods have been developed, but these are mostly incompatible with water-insoluble drugs such as tamoxifen or do not allow for precise timing or dosing of the drugs. For more than two decades, tamoxifen has been administered by oral gavage or injection to CreERT2–loxP gene-modified mouse models to spatiotemporally control gene expression, with the numbers of such inducible models steadily increasing in recent years. Animal-friendly procedures for accurately administering tamoxifen or other water-insoluble drugs would, therefore, have an important impact on animal welfare. On the basis of a previously published micropipette feeding protocol, we developed palatable formulations to encourage voluntary consumption of tamoxifen. We evaluated the acceptance of the new formulations by mice during training and treatment and assessed the efficacy of tamoxifen-mediated induction of CreERT2–loxP-dependent reporter genes. Both sweetened milk and syrup-based formulations encouraged mice to consume tamoxifen voluntarily, but only sweetened milk formulations were statistically noninferior to oral gavage or intraperitoneal injections in inducing CreERT2-mediated gene expression. Serum concentrations of tamoxifen metabolites, quantified using an in-house-developed cell assay, confirmed the lower efficacy of syrup- as compared to sweetened milk-based formulations. We found dosing with a micropipette to be more accurate than oral gavage or injection, with the added advantage that the method requires little training for the experimenter. The new palatable solutions encourage voluntary consumption of tamoxifen without loss of efficacy compared to oral gavage or injections and thus represent a refined administration method.
The Derlin-1-Stat5b axis maintains homeostasis of adult hippocampal neurogenesis
Authors: Murao Naoya , Matsuda Taito , Kadowaki Hisae , Matsushita Yosuke , Tanimoto Kousuke , Katagiri Toyomasa , Nakashima Kinichi , Nishitoh Hideki 
Published: July 2024

AbstractAdult neural stem cells (NSCs) in the hippocampal dentate gyrus continuously proliferate and generate new neurons throughout life. Although various functions of organelles are closely related to the regulation of adult neurogenesis, the role of endoplasmic reticulum (ER)-related molecules in this process remains largely unexplored. Here we show that Derlin-1, an ER-associated degradation component, spatiotemporally maintains adult hippocampal neurogenesis through a mechanism distinct from its established role as an ER quality controller. Derlin-1 deficiency in the mouse central nervous system leads to the ectopic localization of newborn neurons and impairs NSC transition from active to quiescent states, resulting in early depletion of hippocampal NSCs. As a result, Derlin-1-deficient mice exhibit phenotypes of increased seizure susceptibility and cognitive dysfunction. Reduced Stat5b expression is responsible for adult neurogenesis defects in Derlin-1-deficient NSCs. Inhibition of histone deacetylase activity effectively induces Stat5b expression and restores abnormal adult neurogenesis, resulting in improved seizure susceptibility and cognitive dysfunction in Derlin-1-deficient mice. Our findings indicate that the Derlin-1-Stat5b axis is indispensable for the homeostasis of adult hippocampal neurogenesis.
Role of mitochondria in endogenous renal repair
Authors: Kazeminia Sara , Eirin Alfonso 
Published: July 2024

Abstract
Renal tubules have potential to regenerate and repair after mild-to-moderate injury. Proliferation of tubular epithelial cells represents the initial step of this reparative process. Although for many years, it was believed that proliferating cells originated from a pre-existing intra-tubular stem cell population, there is now consensus that surviving tubular epithelial cells acquire progenitor properties to regenerate the damaged kidney. Scattered tubular-like cells (STCs) are dedifferentiated adult renal tubular epithelial cells that arise upon injury and contribute to renal self-healing and recovery by replacing lost neighboring tubular epithelial cells. These cells are characterized by the co-expression of the stem cell surface markers CD133 and CD24, as well as mesenchymal and kidney injury markers. Previous studies have shown that exogenous delivery of STCs ameliorates renal injury and dysfunction in murine models of acute kidney injury, underscoring the regenerative potential of this endogenous repair system. Although STCs contain fewer mitochondria than their surrounding terminally differentiated tubular epithelial cells, these organelles modulate several important cellular functions, and their integrity and function are critical to preserve the reparative capacity of STCs. Recent data suggest that the microenviroment induced by cardiovascular risk factors, such as obesity, hypertension, and renal ischemia may compromise STC mitochondrial integrity and function, limiting the capacity of these cells to repair injured renal tubules. This review summarizes current knowledge of the contribution of STCs to kidney repair and discusses recent insight into the key role of mitochondria in modulating STC function and their vulnerability in the setting of cardiovascular disease.
Academic Skills Used by College Students Without Brain Injury: A Validation Study
Authors: Isaki Emi , Lininger Monica R. , Cross Evelyn 
Published: July 2024

Purpose:
The purpose of this study was to develop a brief, ecologically valid measure of academic-related skills used by students in both in-person and online higher education.

Method:

Twelve undergraduate (
n
= 7) and graduate (
n =
5) college students without brain injury participated in a pilot study followed by focus group semistructured interviews. Next, preliminary normative data were collected from a larger sample of undergraduate (
n
= 152) and graduate (
n
= 73) students without brain injury, ages 18–35 years. Participants were asked to rate the cognitive, communicative, and academic skills they used for in-person and online instruction. The students completed a 27-item scale (Likert, 1 =
strongly disagree
to 6 =
strongly agree
).

Results:
Following an exploratory factor analysis, seven distinct factors were retained creating the final instrument in the population without brain injury. These included sustained attention, metacognition, working memory, problem solving, reading comprehension, selective attention, and processing speed.

Conclusions:
Responses from college students without brain injury helped to validate items on the College Readiness After Mild Traumatic Brain Injury scale. Undergraduate and graduate students identified the skills they used in both online and in-person academic learning environments. Future plans include the recruitment of students with mild traumatic brain injury returning to higher education to investigate the sensitivity of the scale.
Age-Related Differences in the Effects of Linguistic and Nonlinguistic Masking on Semantic Processing: Evidence From the N400 Component in Young and Middle-Aged Listeners
Authors: Stanley Nicholas , Davis Tara 
Published: July 2024

Purpose:
The purpose of this study was to determine if there are age-related differences in semantic processing with linguistic and nonlinguistic masking, as measured by the N400.

Method:
Sixteen young (19–31 years) and 16 middle-aged (41–57 years) adults with relatively normal hearing sensitivity were asked to determine whether word pairs were semantically related or unrelated in three listening conditions: quiet, forward, and reverse two-talker speech competition at 0 dB SNR. Behavioral data (accuracies and reaction times) and auditory event-related potential data (N400 amplitudes and latencies) were analyzed using separate mixed design multivariate analysis of variances.

Results:
Mean N400 amplitudes for semantically related word pairs were similar between young and middle-aged adults. Although neither group showed N400 amplitude differences between masker types, N400 amplitude was significantly greater in the presence of linguistic and nonlinguistic masking than in quiet. In contrast, mean N400 amplitudes for semantically unrelated words were significantly more negative for young adults and not significantly different among listening conditions.

Conclusions:
Our findings illustrated age-related differences during a semantic processing task, as indexed by the N400, that may not be evident in suprathreshold speech repetition/recognition tasks or behavioral data. Additionally, N400 amplitudes indicated that linguistic masking effects were equivalent to nonlinguistic masking effects on semantic processing.
The Effect of Sampling Context on Preschoolers' Finite Verb Morphology Composite Scores
Authors: Weiler Brian , Guo Ling-Yu 
Published: July 2024

Purpose:
The finite verb morphology composite (FVMC) is a valid measure for charting children's tense development and for differentiating children with and without language impairment during preschool and early elementary years. However, it is unclear whether FVMC scores vary as a function of language sample elicitation contexts. The current study evaluated the performance on FVMC in preschool-aged children across different language sampling contexts.

Method:

Participants were 38 English-speaking children who were between the ages of 3 and 4 years and below the mastery level of tense usage in three language sampling contexts, including conversation (free-play), picture description, and narratives (story retell). FVMC from each sampling context was computed by calculating the overall accuracy of copula
be
, auxiliary
be
, third-person singular present
–s
, and past tense
–ed
combined. A linear mixed-effects model comparison was carried out to determine the effect of sampling context on FVMC scores.

Results:

After controlling for child age, mean length of utterance, and the number of obligatory contexts for FVMC scoring, FVMC scores were significantly higher in conversation than in picture description and narratives. In addition, FVMC scores across the three sampling contexts were significantly correlated (
r
s ≥ .62,
p <
.001).

Conclusions:
Although children's performance on FVMC relative to each other was quite stable across sampling contexts, FVMC scores may vary with sampling contexts. As compared to picture description and narratives, conversation may not adequately capture the limitation in preschoolers' tense development that is important for therapeutic planning.
A day‐ahead energy management strategy for electric vehicles in parking lots considering multi‐scenario simulations and hydrogen storage system
Authors: Avval Armin Mohajeri , Dejamkhooy Abdolmajid 
Published: July 2024

AbstractThis article investigated the charge and discharge management structure of electric vehicles (EVs) in intelligent parking lots (IPLs). It seems that with the expansion of renewable energy sources (RESs) as clean energy and investigation of the effects of EVs on the operation and planning of future distribution networks around the way EVs exchange energy with each other and the upstream network operator, RESs such as solar and wind sources, along with hydrogen storage are essential. Therefore, a new stochastic multi‐scenario approach for charge/discharge management of EVs parked in IPL was proposed, in which a newly developed model for the IPL with a hydrogen storage system (HSS) consisting of a fuel cell, an electrolyzer, and a hydrogen storage tank was presented. In the proposed model, the constraints of upstream network and power balance constraints, with the operating constraints related to the IPL, including EVs, renewable energy sources, and the hydrogen storage system, were formulated as the most important objectives of the optimization problem. The optimization algorithm, Competitive Swarm Optimizer (CSO), was formulated for implementation, and its results were compared with those of the PSO and GWO algorithms. The CSO must handle a variety of practical, large‐scale optimization problems. Based on the obtained results, the excess energy purchased from the upstream network or renewable sources was used as hydrogen storage for consumption during peak hours. As expected, the technical constraints and financial goals of the system were met, and the proposed system was evaluated on a 33‐bus network. As the expected benefits will be the most beneficial with the presence of renewable sources, the final profit will be reduced by taking into account uncertainty for charge/discharge management in EVs such as the uncertainty of electric load, market price, wind turbine, and photovoltaic cell sources. Nonetheless, the profit obtained from renewable resources is preferable to losses resulting from the uncertainty of the system, and according to expectation, the performance of the system for managing the optimal charging and discharging of EVs in the IPL will be acceptable with the maximum profit for the grid.
Aggregate data‐driven dynamic modeling of active distribution networks with DERs for voltage stability studies
Authors: Subedi Sunil , Vasquez‐Plaza Jesus D. , Andrade Fabio , Rekabdarkolaee Hossein Moradi , Fourney Robert , Tonkoski Reinaldo , Hansen Timothy M. 
Published: July 2024

AbstractElectric distribution networks increasingly host distributed energy resources based on power electronic converter (PEC) toward active distribution networks (ADN). Despite advances in computational capabilities, electromagnetic transient models are limited in scalability because of their reliance on exact data about the distribution system and each of its components. Similarly, the use of the DER_A model, which is intended to examine the combined dynamic behavior of many DERs, is limited by the difficulty in parameterization. There is a need for improved dynamic models of DERs for use in large power system simulations for stability analysis. This paper proposes an aggregate model‐free, data‐driven approach for deriving a dynamic partitioned model (DPM) of ADNs. Detailed residential distribution feeders were first developed, including PEC‐based DERs and composite load models (CMLDs), from which the aggregated DPM was derived. The performance was evaluated through various case studies and validated against the detailed ADN model and state‐of‐the‐art DER_A model with CMLD. The data‐driven DPM achieved a of over 90%, accurately representing the aggregated dynamic behavior of ADNs. Furthermore, the DPM significantly accelerated the simulation process with a computational speedup of 68 times compared to the detailed ADN and a 3.5 times speedup compared to the DER_A CMLD model.