bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ultrasmall 2D Sn‐Doped MAPbBr3 Nanoplatelets Enable Bright Pure‐Blue Emission
Authors: Chun Fengjun , Jang Kyung Yeon , Zhou Huanyu , Kim Sungjin , Yoon Eojin , Lee Tae‐Woo 
Published: June 2024

AbstractSynthesis of perovskites that exhibit pure‐blue emission with high photoluminescence quantum yield (PLQY) in both nanocrystal solutions and nanocrystal‐only films presents a significant challenge. In this work, a room‐temperature method is developed to synthesize ultrasmall, monodispersed, Sn‐doped methylammonium lead bromide (MAPb1‐xSnxBr3) perovskite nanoplatelets (NPLs) in which the strong quantum confinement effect endows pure blue emission (460 nm) and a high quantum yield (87%). Post‐treatment using n‐hexylammonium bromide (HABr) repaired surface defects and thus substantially increased the stability and PLQY (80%) of the NPL films. Concurrently, high‐precision patterned films (200‐µm linewidth) are successfully fabricated by using cost‐effective spray‐coating technology. This research provides a novel perspective for the preparation of high PLQY, highly stable, and easily processable perovskite nanomaterials.
Crowdsourced bug report severity prediction based on text and image understanding via heterogeneous graph convolutional networks
Authors: Wu Yifan , Lin Chendong , Liu An , Zhao Lei , Zhang Xiaofang 
Published: June 2024

AbstractIn the process of crowdsourced testing, massive bug reports are submitted. Among them, the severity level of the bug report is an important indicator for traigers of crowdsourced platforms to arrange the order of reports efficiently so that developers can prioritize high‐severity defects. A lot of work has been devoted to the study of automatically assigning severity levels to a large number of bug reports in crowdsourcing test systems. The research objects of these works are standard bug reports, focusing on the text part of the report, using various feature engineering methods and classification techniques. However, while achieving good performance, these methods still need to overcome two challenges: no consideration of image information in mobile testing and discontinuous semantic information of words in bug reports. In this paper, we propose a new method of severity prediction by using heterogeneous graph convolutional networks with screenshots (SPHGCN‐S), which combines text features and screenshots information to understand the report more comprehensively. In addition, our approach applies the heterogeneous graph convolutional network (HGCN) architecture, which can capture the global word information to alleviate the semantic problem of word discontinuity and underlying relations between reports. We conduct a comprehensive study to compare seven commonly adopted bug report severity prediction methods with our approach. The experimental results show that our approach SPHGCN‐S can improve severity prediction performance and effectively predict reports with high severity.
Large language model ChatGPT versus small deep learning models for self‐admitted technical debt detection: Why not together?
Authors: Li Jun , Li Lixian , Liu Jin , Yu Xiao , Liu Xiao , Keung Jacky Wai 
Published: June 2024

SummaryGiven the increasing complexity and volume of Self‐Admitted Technical Debts (SATDs), how to efficiently detect them becomes critical in software engineering practice for improving code quality and project efficiency. Although current deep learning methods have achieved good performance in detecting SATDs in code comments, they lack explanation. Large language models such as ChatGPT are increasingly being applied to text classification tasks due to their ability to provide explanations for classification results, but it is unclear how effective ChatGPT is for SATD classification. As the first in‐depth study of ChatGPT for SATD detection, we evaluate ChatGPT's effectiveness, compare it with small deep learning models, and find that ChatGPT performs better on Recall, while small models perform better on Precision. Furthermore, to enhance the performance of these approaches, we propose a novel fusion approach named FSATD which combines ChatGPT with small models for SATD detection so as to provide reliable explanations. Through extensive experiments on 62,276 comments from 10 open‐source projects, we show that FSATD outperforms existing methods in performance of F1‐score in cross‐project scenarios. Additionally, FSATD allows for flexible adjustment of fusion strategies, adapting to different requirements of various application scenarios, and can achieve the best Precision, Recall, or F1‐score.
Federsteifigkeit von Kopfbolzendübeln und Ermittlung der Längsschubkräfte in langen Schwertkonstruktionen
Authors: Hanswille Gerhard , Illmann Marc , Dobelmann Berthold 
Published: June 2024

AbstractBei integralen Brückenbauwerken werden oft lange Schwertanschlüsse mit vielen hintereinander angeordneten Dübeln ausgeführt. Bei derartigen Anschlusskonstruktionen sind insbesondere im Grenzzustand der Gebrauchstauglichkeit und im Grenzzustand der Ermüdung die Einflüsse aus der Nachgiebigkeit der Dübel und der damit verbundenen nichtlinearen Längsschubkraftverteilung für die Bemessung von Bedeutung. Grundlage für die Berechnung derartiger Anschlüsse ist die Kenntnis der Steifigkeit der Dübel im Grenzzustand der Tragfähigkeit und im Grenzzustand der Gebrauchstauglichkeit. Hierzu werden in der Literatur veröffentliche Versuchsergebnisse und Last‐Schlupfbeziehungen neu ausgewertet. Die Untersuchungen zeigen, dass bei langen Schwertanschlüssen die ersten Dübel sehr hoch beansprucht werden und diese hohen Beanspruchungen dazu führen, dass die Grenzzustände der Gebrauchstauglichkeit und der Ermüdung bei langen Schwertanschlüssen bemessungsmaßgebend werden können. Es wird ein Näherungsverfahren vorgestellt, mit dem eine realistische Erfassung der Dübelbeanspruchungen in Abhängigkeit von der Federsteifigkeit der Dübel, der Anzahl der hintereinanderliegenden Dübel sowie in Abhängigkeit von der Steifigkeit der Schwerter und des umgebenden Betons möglich ist.
Intentions and Side Effects
Authors: Feltz Adam , Cokely Edward T. 
Published: June 2024

AbstractJudging that somebody does something intentionally is a key element in interpersonal relationships. If somebody does something good intentionally, they are more apt targets for praise and rewards. If somebody does something bad intentionally, they are more apt targets for blame and punishment. But what is involved in acting intentionally? Again, there is substantial philosophical disagreement about the right answer to that question. Important cases that have been used to test theories about intentional action involve side effects of actions. Research shows there is a tendency for good side effects to be judged as not intentionally brought about, yet bad side effects are judged to be intentionally brought about. This chapter documents that this judgment asymmetry is predicted by the global personality trait extraversion. Those who are extraverted tend to judge that bad side effects are intentionally brought about whereas introverts do not agree that bad side effects are intentional, even after controlling for a host of other factors including concepts of intuitional action, other personality traits, and cognitive skills. We also present evidence that we can predictably manipulate intentionality judgments of side effects based on what we know about judgment tendencies of extraverts.
Rényi mutual information in quantum field theory, tensor networks, and gravity
Authors: Kudler-Flam Jonah , Nie Laimei , Vijay Akash 
Published: June 2024

Abstract
We explore a large class of correlation measures called the α − z Rényi mutual informations (RMIs). Unlike the commonly used notion of RMI involving linear combinations of Rényi entropies, the α − z RMIs are positive semi-definite and monotonically decreasing under local quantum operations, making them sensible measures of total (quantum and classical) correlations. This follows from their descendance from Rényi relative entropies. In addition to upper bounding connected correlation functions between subsystems, we prove the much stronger statement that for certain values of α and z, the α − z RMIs also lower bound certain connected correlation functions. We develop an easily implementable replica trick which enables us to compute the α − z RMIs in a variety of many-body systems including conformal field theories, free fermions, random tensor networks, and holography.
Multiply charged magnetic black branes
Authors: Meiring Ben , Shyovitz Ido , Waeber Sebastian , Yarom Amos 
Published: June 2024

Abstract
We discuss analytic solutions describing magnetically charged black branes in d dimensional AdS space. Focusing on d = 5, we study the response of the brane to an external short lived electric field. We argue that when the theory possesses an ’t Hooft anomaly then at sufficiently low temperature a long lived oscillatory current will be observed long after the electric field has been turned off. We demonstrate this “anomalous resonance” effect via a numerical study.
The impact of polydioxanone (PDS) foil thickness on reconstruction of the orbital geometry after isolated orbital floor fractures
Authors: Winnand Philipp , Ooms Mark , Ayoub Nassim , Schick Daniel , Paulßen von Beck Felix , Hölzle Frank , Mücke Thomas , Modabber Ali 
Published: June 2024

Abstract
Purpose
The orbital floor is frequently involved in head trauma. Current evidence on the use of reconstruction materials for orbital floor repair is inconclusive. Accordingly, this study aimed to compare the impact of polydioxanone (PDS) foil thickness on reconstruction of the orbital geometry after isolated orbital floor fractures.

Methods
Standardized isolated orbital floor fractures were symmetrically created in 11 cadaver heads that provided 22 orbits. PDS foils with thicknesses of 0.25–0.5 mm were inserted. Computed tomography (CT) scans of the native, fractured, and reconstructed orbits were obtained, and orbital volume, orbital height, and foil bending were measured.

Results
Orbital volume and height significantly (p < 0.01) increased after the creation of isolated orbital floor fractures and significantly (p = 0.001) decreased with overcorrection of the orbital geometry after orbital floor reconstruction with PDS 0.25 mm or PDS 0.5 mm. The orbital geometry reconstruction rate did not differ significantly with respect to foil thickness. However, compared to PDS 0.5 mm, the use of PDS 0.25 mm resulted in quantitatively higher reconstructive accuracy and a restored orbital volume that did not significantly differ from the initial volume.

Conclusion
Orbital floors subjected to isolated fractures were successfully reconstructed using PDS regardless of foil thickness, with overcorrection of the orbital geometry. Due to its lower flexural stiffness, PDS 0.25 mm appeared to provide more accurate orbital geometry reconstruction than PDS 0.5 mm, although no significant difference in reconstructive accuracy between PDS 0.25 mm and PDS 0.5 mm was observed in this cadaveric study.
A Dyadic Nosology for Osteogenesis Imperfecta and Bone Fragility Syndromes 2024
Authors: Sillence David Owen 
Published: June 2024

AbstractIn 2023 following extensive consultation with key stakeholders, the expert Nosology Working Group of the International Skeletal Dysplasia Society (ISDS) published the new Dyadic Nosology for Genetic Disorders of the Skeleton. Some 770 entities were delineated associated with 552 genes. From these entities, over 40 genes resulting in distinct forms of Osteogenesis Imperfecta (OI) and Bone Fragility and/or Familial Osteoporosis were identified. To assist clinicians and lay stake holders and bring the considerable body of knowledge of the matrix biology and genomics to people with OI as well as to clinicians and scientists, a dyadic nosology has been recommended. This combines a genomic co-descriptor with a phenotypic naming based on the widely used Sillence nosology for the OI syndromes and the many other syndromes characterized in part by bone fragility.This review recapitulates and explains the evolution from the simple Congenita and Tarda subclassification of OI in the 1970 nosology, which was replaced by the Sillence types I–IV nosology which was again replaced in 2009 with 5 clinical groups, type 1 to 5. Qualitative and quantitative defects in type I collagen polypeptides were postulated to account for the genetic heterogeneity in OI for nearly 30 years, when OI type 5, a non-collagen disorder was recognized. Advances in matrix biology and genomics since that time have confirmed a surprising complexity both in transcriptional as well as post-translational mechanisms of collagens as well as in the many mechanisms of calcified tissue homeostasis and integrity.
Sub-seasonal prediction skill: is the mean state a good model evaluation metric?
Authors: Ryu Jihun , Wang Shih-Yu , Jeong Jee-Hoon , Yoon Jin-Ho 
Published: June 2024

AbstractEvaluating forecast models encompasses assessing their ability to accurately depict observed climate states and predict future climate variables. Various evaluation methods, from computationally efficient measures like the anomaly correlation coefficient to more intricate approaches, have been formulated. While simpler methods provide limited information, climatology, due to its simplicity and immediate linkage to model performance, is a commonly utilized primary evaluation metric. In this study focusing on temperature and precipitation, we propose a novel metric based on the model’s mean state, integrating both climatology and the seasonal cycle for a more accurate assessment of the relationship between mean state performance and prediction skill on weather and sub-seasonal time scales compared to relying solely on climatology. This integrated metric reveals a robust correlation between temperature and precipitation across diverse geographical locations, with a more pronounced effect in tropical areas when considering the seasonal cycle. Additionally, we find that temperature exhibits higher prediction skill compared to precipitation. The discovered relationship serves as a potential early indicator for predicting the efficacy of Seasonal to Sub-seasonal (S2S) models and offers valuable insights for model development, emphasizing the significance of this integrated metric in enhancing S2S model performance and advancing climate prediction capabilities.
Motoneuron persistent inward current contribution to increased torque responses to wide-pulse high-frequency neuromuscular electrical stimulation
Authors: Popesco Timothée , Bet da Rosa Orssatto Lucas , Hug François , Blazevich Anthony John , Trajano Gabriel Siqueira , Place Nicolas 
Published: June 2024

Abstract
Purpose
To assess the effect of a remote handgrip contraction during wide-pulse high-frequency (WPHF) neuromuscular electrical stimulation (NMES) on the magnitude of extra torque, progressive increase in torque during stimulation, and estimates of the persistent inward current (PIC) contribution to motoneuron firing in the plantar flexors.

Methods
Ten participants performed triangular shaped contractions to 20% of maximal plantar flexion torque before and after WPHF NMES with and without a handgrip contraction, and control conditions. Extra torque, the relative difference between the initial and final torque during stimulation, and sustained electromyographic (EMG) activity were assessed. High-density EMG was recorded during triangular shaped contractions to calculate ∆F, an estimate of PIC contribution to motoneuron firing, and its variation before vs after the intervention referred to as ∆F change score.

Results
While extra torque was not significantly increased with remote contraction (WPHF + remote) vs WPHF (+ 37 ± 63%, p = 0.112), sustained EMG activity was higher in this condition than WPHF (+ 3.9 ± 4.3% MVC EMG, p = 0.017). Moreover, ∆F was greater (+ 0.35 ± 0.30 Hz) with WPHF + remote than control (+ 0.03 ± 0.1 Hz, p = 0.028). A positive correlation was found between ∆F change score and extra torque in the WPHF + remote (r = 0.862, p = 0.006).

Discussion
The findings suggest that the addition of remote muscle contraction to WPHF NMES enhances the central contribution to torque production, which may be related to an increased PIC contribution to motoneuron firing. Gaining a better understanding of these mechanisms should enable NMES intervention optimization in clinical and rehabilitation settings, improving neuromuscular function in clinical populations.
Thermal implant removal in a pig jaw: a proof of concept study
Authors: Kniha Kristian , Haas Lorenz , Al-Sibai Faruk , Kneer Reinhold , Möhlhenrich Stephan Christian , Hermanns-Sachweh Benita , Hölzle Frank , Modabber Ali 
Published: June 2024

Abstract
Objectives
The aim of this study was to evaluate whether thermal implant removal of osseointegrated implants is possible using a diode laser with an specific temperature–time interval.

Materials and methods
First, tooth extraction of the first three premolars was performed in the maxilla and mandible on both sides of 10 pig. After 3 months, implants were inserted into the upper and lower jaws of 10 pigs. After 3 more months, osseointegrated implants were heated with a laser device to a temperature of 50 °C for 1 min. After 14 days, the implant stability quotient (ISQ), torque-out values, and bone-to-implant contact (BIC) ratio were assessed using resonance frequency analysis.

Results
ISQ values showed no significant differences within each group or between the control and test groups. Furthermore, torque-out and BIC value measurements presented no significant differences between the groups.

Conclusions
At 50°C, changes in the BIC values were noticeably smaller; however, these differences were not significant. Future studies should evaluate the same procedures at either a higher temperature or longer intervals.

Clinical relevance
With only 50 °C for 1 min, a dental implant will not de-integrate predictably.
Subcutaneous immunoglobulins (SCIG) for chronic inflammatory demyelinating polyneuropathy (CIDP): A comprehensive systematic review of clinical studies and meta-analysis
Authors: Ramzi Ahmed , Maya Subhia , Balousha Nadeen , Sabet Haneen , Samir Ahmed , Roshdy Merna Raafat , Aljarrah Ghalia , Saleh Sireen , Kertam Ahmed , Serag Ibrahim , Shiha Mostafa Ramzi 
Published: June 2024

Abstract
Background
Chronic Inflammatory Demyelinating Polyneuropathy (CIDP) presents significant treatment challenges due to its chronic nature, varied clinical presentations, and rarity. Subcutaneous immunoglobulin (SCIG) has emerged as a maintenance therapy, offering potential advantages in administration and patient experience over the previously recognized intravenous immunoglobulin (IVIG). Methods: We included all clinical studies involving CIDP patients treated with SCIG from eleven databases up to March 2024.

Results
50 clinical studies were included in the systematic review, with 22 involved in the meta-analysis. These studies offer clinical data on around 1400 CIDP patients. Almost all studies considered SCIG a maintenance therapy, with the majority of results suggesting it as a viable substitute that may offer comparable or enhanced advantages. Studies covered aspects such as efficacy, safety, quality of life, practicality, economic evaluation, and patient preference. Meta-analysis showed SCIG significantly improved muscle strength and sensory function, had fewer and milder side effects, reduced relapse rates, and received a strong preference.

Conclusions
Findings suggest that SCIG for CIDP maintenance not only provides a more feasible alternative, with economic evaluations showing considerable cost reductions over time, and patient preference for SCIG being pronounced, but may also deliver comparable or superior health outcomes. Ongoing research lines on formulations, techniques, and direct comparative studies are critical to further illuminate, enhance, and expand SCIG's role in treatment.
The role of bacterial metabolism in human gut colonization
Authors: Muñoz-Cazalla Ada , de Quinto Ignacio , Álvaro-Llorente Laura , Rodríguez-Beltrán Jerónimo , Herencias Cristina 
Published: June 2024

AbstractCan we anticipate the emergence of the next pandemic antibiotic-resistant bacterial clone? Addressing such an ambitious question relies on our ability to comprehensively understand the ecological and epidemiological factors fostering the evolution of high-risk clones. Among these factors, the ability to persistently colonize and thrive in the human gut is crucial for most high-risk clones. Nonetheless, the causes and mechanisms facilitating successful gut colonization remain obscure. Here, we review recent evidence that suggests that bacterial metabolism plays a pivotal role in determining the ability of high-risk clones to colonize the human gut. Subsequently, we outline novel approaches that enable the exploration of microbial metabolism at an unprecedented scale and level of detail. A thorough understanding of the constraints and opportunities of bacterial metabolism in gut colonization will foster our ability to predict the emergence of high-risk clones and take appropriate containment strategies.
Optimal portfolios with anticipating information on the stochastic interest rate
Authors: D’Auria Bernardo , Salmeron José A. 
Published: June 2024

AbstractBy employing the technique of enlargement of filtrations, we demonstrate how to incorporate information about the future trend of the stochastic interest rate process into a financial model. By modeling the interest rate as an affine diffusion process, we obtain explicit formulas for the additional expected logarithmic utility in solving the optimal portfolio problem. We begin by solving the problem when the additional information directly refers to the interest rate process, and then extend the analysis to the case where the information relates to the values of an underlying Markov chain. The dynamics of this chain may depend on anticipated market information, jump at predefined epochs, and modulate the parameters of the stochastic interest rate process. The theoretical study is then complemented by an illustrative numerical analysis.