bluuebunny/crossref_metadata_2025_split huggingface dataset:
Valorization of Industrial Waste Graphite Fines into Graphene Oxide‐Based Nanohybrids
Authors: Subrati Mohammed , Lyra Kyriaki‐Marina , Spyrou Konstantinos , Magdalini Toliou Ilektra , Petrou George , Manganiaris Petros , Papavasiliou Aggeliki , Sakellis Elias , Athanasekou Chrysoula P. , Glisenti Antonella , Sideratou Zili , Katsaros Fotios 
Published: December 2024

AbstractThe rapid growth of graphite market is highly coupled with the increasing demand for Li‐ion grade graphite, the production of which results in significant losses of the graphitic material in the form of graphite fines. Herein, for the first time, we report an effective strategy to utilize industrial waste graphite fines through the development of graphene oxide‐based nanohybrids as non‐toxic and efficient antibacterial agents. To achieve this, graphene oxide (GO) was initially synthesized using industrial waste graphite fines as a graphitic precursor. Subsequently, hyperbranched polyethyleneimine (PEI), or either of its guanidinylated (GPEI) and N‐sulfopropylated (SPEI) derivatives were successfully and homogenously attached onto GO, as confirmed by various characterization techniques, yielding GO‐PEI, and novel GO‐GPEI and GO‐SPEI nanohybrids. The antibacterial activity of these nanohybrids was assessed against Gram (−) Escherichia coli and Gram (+) Staphylococcus Aureus bacteria. Both GO‐GPEI and GO‐SPEI were found to exhibit higher antibacterial activity, specifically against E. coli bacteria, compared to the pristine GO and GO‐PEI nanohybrid, with GO‐SPEI being more active than GO‐GPEI. Finally, GO‐GPEI and GO‐SPEI were found to exhibit low cytotoxicity against mammalian cells, signifying that they can be used as potential antibacterial agents in various applications, including those in the disinfection industry.
Categorized Side Effect and Complications of Microneedling
Authors: Mohammadnejad Atefeh 
Published: December 2024

ABSTRACTIntroductionFacial microneedling (MN) represents a contemporary approach to skin rejuvenation that has garnered increasing popularity in recent years. This technique is distinguished by its cost‐effectiveness and widespread adoption across various age groups. While MN is associated with substantial improvements in skin appearance and texture, it is also accompanied by a range of potential adverse effects.AimThis paper outlines to present the categorized side effect and complications of MN.MethodsIn this paper, published studies and colleagues’ experiences were used to classify and present the results.ConclusionThere is currently insufficient research on the complications and side effects of MN, highlighting the need for a comprehensive and organized review in this area. This study systematically investigates MN‐related complications in six key areas: operator, patient, procedures and materials, sterile devices and skin, aftercare, and standard device classification and evaluation.
Understanding Early Treatment Response in Brief CBT for Nonunderweight Eating Disorders: A Mixed Methods Study
Authors: Gatley Dana , Millar‐Sarahs Verity , Brown Amy , Brooks Cat Papastavrou , Matcham Faith 
Published: December 2024

ABSTRACTObjectiveEarly change in eating disorder psychopathology is the most robust predictor of treatment outcomes in eating disorders. However, little is known about what predicts early change. Using mixed‐methodology, this study explored predictors of early change in the first four sessions of 10‐session cognitive behavioral therapy (CBT‐T) for nonunderweight eating disorders.MethodPhase 1: interviews were conducted to explore CBT‐T clinicians' perspectives on predictors of early change. Phase 2: robust multiple regressions were undertaken to examine whether any of five variables identified during interviews—diagnosis, wait time, therapeutic alliance, depression, and anxiety—were associated with early change in eating disorder psychopathology. Data were derived from outcome measures for service users (n = 107) receiving CBT‐T in a community eating disorder service.ResultsPhase 1: eight themes were identified: attitudes to making change, diagnosis, external mitigating circumstances, therapeutic alliance, therapist confidence, pretreatment variables, CBT‐T format, and therapeutic suitability. Phase 2: no significant associations were found between the five predictor variables (diagnosis type, wait time, baseline depression, baseline anxiety, and therapeutic alliance) and early change in EDE‐Q scores. These results have been certified as computationally reproducible by an independent statistician.DiscussionQualitative findings identified several potential predictors of early change in eating disorder psychopathology in CBT‐T, however, quantitative data contradicted qualitative findings, finding no significant association for any of the tested variables. Further research is required to clarify theses conflicting findings and to quantitatively explore the additional predictors highlighted during qualitative analysis.
Dietary Restraint Fallacy
Authors: Jansen Anita 
Published: December 2024

ABSTRACTFor decades, the prevailing assumption in the field of eating disorders has been that dietary restraint causes weight gain and eating disorder symptoms, like binge eating. This belief resulted in widespread recommendations to reduce dietary restraint in treatments of eating disorders and obesity. However, recent findings by Grilo and Pittman (2024; International Journal of Eating Disorders xxx:xxxx–xxxx) contradict this view, showing reduced binge frequency and greater weight loss with increased rigid dietary restraint. This commentary critically evaluates the evidence supporting a causal link between dietary restraint and overeating, highlighting the limitations of longitudinal and observational studies and the misinterpretations of early laboratory research. Importantly, randomized controlled trials and experiments that directly manipulate calorie intake show that calorie restriction improves eating control and reduces eating disorder symptoms. Conceptual issues are discussed; self‐reported dietary restraint is not an accurate reflection of actual calorie restriction. It is argued that cognitive processes like learned food cue reactivity, weak executive skills and increased reward sensitivity can explain tendencies to overeat. They are usually followed by attempts to restrain food intake—essentially reverse causality. It is further hypothesized that the eating of healthy whole foods while avoiding unhealthy ultra‐processed foods, could benefit both the prevention and treatment of all eating and weight disorders.
Guidelines for preparation and flow cytometry analysis of human nonlymphoid tissue DC
Authors: Dudziak Diana , Heger Lukas , Agace William W , Bakker Joyce , de Gruijl Tanja D. , Dress Regine J. , Dutertre Charles‐Antoine , Fenton Thomas M. , Fransen Marieke F. , Ginhoux Florent , Heyman Oded , Horev Yael , Hornsteiner Florian , Kandiah Vinitha , Kles Paz , Lubin Ruth , Mizraji Gabriel , Prokopi Anastasia , Saar Or , Sopper Sieghart , Stoitzner Patrizia , Strandt Helen , Sykora Martina M , Toffoli Elisa C. , Tripp Christoph H. , van Pul Kim , van de Ven Rieneke , Wilensky Asaf , Yona Simon , Zelle‐Rieser Claudia 
Published: December 2024

AbstractThis article is part of the Dendritic Cell Guidelines article series, which provides a collection of state‐of‐the‐art protocols for the preparation, phenotype analysis by flow cytometry, generation, fluorescence microscopy, and functional characterization of mouse and human dendritic cells (DC) from lymphoid organs, and various nonlymphoid tissues. Within this article, detailed protocols are presented that allow for the generation of single‐cell suspensions from human nonlymphoid tissues including lung, skin, gingiva, intestine as well as from tumors and tumor‐draining lymph nodes with a subsequent analysis of dendritic cells by flow cytometry. Further, prepared single‐cell suspensions can be subjected to other applications including cellular enrichment procedures, RNA sequencing, functional assays, etc. While all protocols were written by experienced scientists who routinely use them in their work, this article was also peer‐reviewed by leading experts and approved by all co‐authors, making it an essential resource for basic and clinical DC immunologists.
Activation of STAT6 in Intestinal Epithelial Cells Predisposes to Gut Inflammation
Authors: Westermann Stefanie , Radtke Daniel , Kramer Lisa , Wirtz Stefan , Voehringer David 
Published: December 2024

ABSTRACTUlcerative colitis (UC) is an inflammatory bowel disease (IBD) often associated with a Type 2 immune response. Although previous reports hint at a role for signal transducer and activator of transcription (STAT) 6 signaling in non‐immune cells, the contribution of STAT6‐activation particularly in intestinal epithelial cells (IECs) is still unknown. Dextran sodium sulfate (DSS)‐induced colitis is a model for UC in mice that we applied here on animals with expression of a constitutively active version of STAT6 in IECs (VillinCre_STAT6vt mice). We report increased pathology and mortality due to enhanced and systemic inflammation in these mice. Bulk RNA sequencing of colonic tissue from naïve VillinCre_STAT6vt mice showed differential expression of more than 140 genes compared to control mice. Gene set enrichment analysis revealed STAT6‐regulated expression of the unfolded protein response, MTORC‐ and MYC‐signaling, and protein secretion pathways. A comparison of gene expression in the colon of naïve VillinCre_STAT6vt mice and a human single‐cell RNA sequencing dataset of a patient cohort with IBD revealed overlapping changes in the epithelial and macrophage compartment compared to corresponding controls. In conclusion, we found that activation of STAT6 in the intestinal epithelium predisposes to exacerbated colitis and gut inflammation.
Solvent‐Induced Amplification of Chiral Superstructures of Carbazole Porphyrins in Dynamic Supramolecular Aggregates
Authors: Shreechippa Pooja V. , Nadimetla Dinesh N. , Puyad Avinash L , Rode Ambadas B. , Bhosale Sheshanath V. 
Published: December 2024

AbstractHerein, we reported design, synthesis and investigation for supramolecular self‐assembly of two types of carbazole porphyrins one with free base carbazole porphyrin (codes as 1), and second one zinc (II) metalated carbazole porphyrin (codes as 2) in the various ratios of chloroform (CHCl3, non‐polar) and methanol (MeOH, polar) mixed solvent. Typically, in only chloroform both 1 and 2 produce micro‐belt like structures, while increasing polar solvents i. e. 90 % MeOH in CHCl3 (v/v, 9 : 1 ratio), 1 resulted as helical microfibres, however, 2 assembled into twisted helical ribbons, respectively. The solution based solvophobic effect on self‐assembly demonstrated by using circular dichroism (CD), UV‐Vis and emission spectroscopy. Furthermore, X‐ray diffraction was used to confirm amorphous nature of assembly and DFT for computational study used to find energy band gap between carbazole and porphyrin. Importantly, Scanning Electron Microscopy (SEM) was employed to visualise chiral supramolecular superstructures of 1 and 2, respectively. It is clear that growth of chiral superstructures is due to π–π stacking of porphyrin core along with hydrophobic interaction of the ethyl hexyl chain. Thus, it is clear that adjusting the ratio of polar to non‐polar solvent, hydrophobic carbazole porphyrins confirmed formation of chiral superstructures.
How the magnitude and precision of pain predictions shape pain experiences
Authors: Derksen Suzanne M. J. C. , Konttinen Maria , Myronenko Anastasiia , Seymour Ben , Peerdeman Kaya J. 
Published: December 2024

AbstractBackgroundIn Bayesian models including predictive processing, the magnitude and precision of pain expectancies are key determinants of perception. However, relatively few studies have directly tested whether this holds for pain, and results so far have been inconclusive. Here, we investigated expectancy effects on pain experiences and associated affective responses.MethodsIn two studies, healthy participants (n = 30 in each) received painful electrical stimuli preceded by explicit pain predictions. In study 1, the magnitude of pain predictions and administered pain intensities were varied. In study 2, the magnitude and precision of pain predictions were varied, while administered pain intensity was kept constant. Experienced pain intensity was the primary outcome in both studies.ResultsPain experiences assimilated towards both under‐ and overpredictions of pain. In study 1, however, effects were small, if present at all, for non‐painful stimuli and effects were not necessarily larger with predictions of greater magnitude. In study 2, assimilation of pain experiences appeared regardless of precision level, while no significant effects on EMG eyeblink startle responses were observed. Moreover, under‐ and overpredictions caused disappointment and relief, respectively, with greater disappointment upon precise than imprecise predictions.ConclusionsThe influence of pain predictions on pain might be more complex than assumed in simple instantiations of current theoretical frameworks, with no systematically stronger assimilation of pain experiences to larger and more precise predictions. Since overpredictions are associated with relief, but underpredictions with disappointment, these findings underline the importance of providing correct predictions when preparing for upcoming painful procedures.Significance StatementOur work supports, challenges, and extends the application of Bayesian and predictive processing frameworks to the influence of pain predictions on pain. Under‐ and overpredictions of pain yielded assimilation of pain experiences, but assimilation was not systematically stronger with larger prediction errors or greater precision. Moreover, under‐ and overpredictions resulted in disappointment and relief, respectively. This research signifies the importance of establishing accurate predictions of pain in clinical practice.
Different ways to reach the same goal: Are the analgesic effects of different types of tactile stimuli similar?
Authors: Zauberman Rachel B. , Shamay‐Tsoory Simone , Weissman‐Fogel Irit 
Published: December 2024

AbstractBackgroundTactile‐induced analgesia (TIA) is a phenomenon in which different types of tactile stimulation alleviate pain via different mechanisms including empathy. As TIA plays an essential role in therapeutic situations and clinical conditions, it is crucial to determine whether specific tactile stimulations confer distinct benefits.MethodsFifty‐two subjects (31 females; 21–47 years) were exposed to four distinct experimental conditions involving three types of touch provided within a simulated supportive therapeutic setting. First, a contact heat (70 s) at a pain intensity of 60/100 Numerical Pain Scale (NPS) was applied to the forearm. The pain stimulus was then given simultaneously with vibration, gentle stroking, or handholding in random order. Pain ratings were reported at 5 and 65 s of each stimulation. Given the role of empathy in TIA, we also assessed the levels of empathy experienced by the subjects and the experimenter.ResultsHandholding and vibration conditions were associated with a more rapid decrease in pain ratings compared to pain‐alone (B values: handholding = −150.94 vs. pain‐alone = −99.38, p = 0.01; vibration = −163.54 vs. pain‐alone = −99.38, p < 0.001). Higher levels of the experimenter's empathy toward the subjects were associated with greater pain alleviation during vibration vs. pain‐alone condition (B values: vibration = −56.42 vs. B pain‐alone = −9.57, p = 0.04).ConclusionsVibration's potent analgesic effects may be attributed to its multi‐channel analgesic mechanisms, including the therapist's empathy toward the participant. On the other hand, for handholding establishing an empathic interaction should be considered in a therapeutic setting to enhance its analgesic efficacy.SignificanceThis article explores the effectiveness of touch‐based pain relief methods and their association with empathetic therapeutic interactions. The study emphasizes the significance of positive therapeutic interactions in facilitating tactile‐induced analgesia.
Modelling heart rate dynamics in relation to speed and power output in sprint kayaking as a basis for training evaluation and optimisation
Authors: Jasper Gielen , Smets Catherine , Vidts Noor , Schots Stef , Loes Stessens , Jaspers Arne , Romain Meeusen , Jean‐Marie Aerts 
Published: December 2024

AbstractWith the development of power output sensors in the field of paddle sports and the ongoing advancements in dynamical analysis of exercise data, this study aims to model the measurements of external training intensity in relation to heart rate (HR) time‐series during flat‐water kayak sprint. Nine elite athletes performed a total of 47 interval training sessions with incremental intensity (light to (sub‐) maximal effort levels). The data of HR, speed and power output were measured continuously and rating of perceived exertion and blood lactate concentration ([BLa]) were sampled at the end of each interval stage. Different autoregressive‐exogenous (ARX) modelling configurations are tested, and we report on which combination of input (speed or power), model order (1st or 2nd), parameter estimation method (time‐(in)variant) and training conditions (ergometer or on‐water) is best suited for linking external to internal measures. Average model R2 values varied between 0.60 and 0.97, with corresponding average root mean square error values of 15.6 and 3.2 bpm. 1st order models with time‐varying (TV) parameter estimates yield the best model performance (average R2 = 0.94). At the level of the individual athlete, the TV modelling features (i.e., the model parameters and derivatives such as time constant values) show significant repeated measure correlations in relation to measures of exercise intensity. In conclusion, the study provides a comprehensive description of how the dynamic relationship between external load and HR for sprint kayaking training data can be modelled. Such models can be used as a basis for improving training evaluation and optimisation.
Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparameter Tuning, SHAP Analysis, Partial Dependency, and LIME
Authors: Islam Md. Manowarul , Rifat Habibur Rahman , Shahid Md. Shamim Bin , Akhter Arnisha , Uddin Md Ashraf , Uddin Khandaker Mohammad Mohi 
Published: December 2024

ABSTRACTDiabetes is a chronic metabolic disease characterized by elevated blood glucose levels and poses significant health risks, such as cardiovascular disease and cognitive damage. Understanding the causes of diabetes is crucial to managing it and preventing complications. The clinical community has a lot of diabetes diagnostic data. Machine learning algorithms may simplify finding hidden patterns, retrieving data from databases, and predicting outcomes. To tackle the challenge of designing an improved diabetes classification algorithm that is more accurate, random oversampling and hyper‐tuning parameter techniques have been used in this study. Whereas most of the existing methods were built upon considering any single dataset, for getting more acceptability in general, our proposed model has been designed based on two benchmark datasets: the BRFSS dataset, which has multiple classes, and the Diabetes 2019 dataset, which has binary classes. What is more, to improve the comprehensibility of the proposed model, a variety of explainability methodologies such as SHapley Additive Explanations (SHAP), Partial Dependency, and Local Interpretable Model‐agnostic Explanations (LIME) have been implemented which are not often noticed in the previous works. The detailed explainability charts will enable the end users or practitioners to understand the exact factors of any given diagnostic report. This research focused on classifying type 2 diabetes using machine learning and providing an explanation for the outcomes derived from the model predictions. Random oversampling and quantile transform are used to rectify imbalances in the dataset and guarantee the resilience of model training. By meticulously adjusting parameters with gridsearchCV, we successfully optimized our models to attain exceptional accuracy across binary and multi‐class datasets. We evaluate the proposed model using two datasets and performance metrics. The extra trees classifier (ET) performed exceptionally, achieving 97.23% accuracy on the multi‐class dataset and 97.45% on the binary dataset.
Pursuing Synaptic Plasticity From Cortex to LTP in the Hippocampus
Authors: Bliss Tim 
Published: December 2024

ABSTRACTHere I describe how an interest in synaptic plasticity took me from a PhD at McGill, where I worked on activity‐dependent plasticity in the responses of single units in the association cortex of anesthetized cats, to a collaboration with Terje Lømo in Per Andersen's laboratory in Oslo in 1968–9. There we followed up on Lømo's discovery of LTP, published as an abstract in 1966, to produce the first detailed description of the phenomenon. Later, in London, Tony Gardner‐Medwin and I showed that LTP lasting for days could be obtained in the awake rabbit. The two papers were published together in the Journal of Physiology in 1973. I relate how difficulties in replicating our results in English rabbits, and the failure of the first attempts to obtain LTP in slices of the dentate gyrus, led to my abandoning work on LTP for a few years, returning to the fray in the late 1970s through a collaboration with Graham Goddard at Dalhousie University in Halifax, Canada.
Exploring the p‐Factor in Adolescence: A Bifactor Exploratory Structural Equation Modeling Approach and Its Association With Emerging Personality Pathology
Authors: Benzi Ilaria Maria Antonietta , Fontana Andrea , Carone Nicola , Sideli Lucia , Locati Francesca , Parolin Laura , Ensink Karin 
Published: December 2024

ABSTRACTIntroductionTo account for the limitations of categorical taxonomies, a general psychopathology factor (p‐factor) has been proposed as a transdiagnostic dimension that captures the shared variance across various forms of psychopathology. However, further research is required to clarify the specific characteristics that define the p‐factor, particularly in adolescence ‐ a period marked by heightened vulnerability to psychological disorders and significant developmental changes.MethodsThis study utilized a sample of 1366 cisgender adolescents (56% assigned female at birth, Mage = 16.25, SD = 1.44) to examine the structure of the p‐factor using Bifactor Exploratory Structural Equation Modeling. The study also explored the association between the p‐factor and emerging personality pathology, focusing on self and interpersonal dimensions.ResultsThe p‐factor was characterized by items reflecting negative affectivity, emotional dysregulation, and behavioral problems. Greater difficulties in self‐related (e.g., sense of self, self‐acceptance, and goals) and interpersonal dimensions (e.g., family relationships, aggression, and sexuality) were associated with higher levels of general psychopathology. A small but significant negative association was found between the quality of peer relationships and the p‐factor, suggesting a potential protective role of friendships.ConclusionsThe study highlights the multifaceted nature of the p‐factor, confirming its relevance in capturing general psychological maladjustment during adolescence. The p‐factor demonstrated a double‐edged nature, encapsulating externalizing (e.g., impulsive behaviors, aggression) and internalizing symptoms (e.g., feelings of inadequacy and guilt). These findings provide insights into the interplay between general psychopathology and personality pathology, supporting a model that integrates self and interpersonal dimensions to understand adolescent psychopathology.