bluuebunny/crossref_metadata_2025_split huggingface dataset:
Advancing the personalized advantage index (PAI): a systematic review and application in two large multi-site samples in anxiety disorders
Authors: Meinke Charlotte , Hornstein Silvan , Schmidt Johanna , Arolt Volker , Dannlowski Udo , Deckert Jürgen , Domschke Katharina , Fehm Lydia , Fydrich Thomas , Gerlach Alexander L. , Hamm Alfons O. , Heinig Ingmar , Hoyer Jürgen , Kircher Tilo , Koelkebeck Katja , Lang Thomas , Margraf Jürgen , Neudeck Peter , Pauli Paul , Richter Jan , Rief Winfried , Schneider Silvia , Straube Benjamin , Ströhle Andreas , Wittchen Hans-Ulrich , Zwanzger Peter , Walter Henrik , Lueken Ulrike , Pittig Andre , Hilbert Kevin 
Published: December 2024

AbstractBackgroundThe Personalized Advantage Index (PAI) shows promise as a method for identifying the most effective treatment for individual patients. Previous studies have demonstrated its utility in retrospective evaluations across various settings. In this study, we explored the effect of different methodological choices in predictive modelling underlying the PAI.MethodsOur approach involved a two-step procedure. First, we conducted a review of prior studies utilizing the PAI, evaluating each study using the Prediction model study Risk Of Bias Assessment Tool (PROBAST). We specifically assessed whether the studies adhered to two standards of predictive modeling: refraining from using leave-one-out cross-validation (LOO CV) and preventing data leakage. Second, we examined the impact of deviating from these methodological standards in real data. We employed both a traditional approach violating these standards and an advanced approach implementing them in two large-scale datasets, PANIC-net (n = 261) and Protect-AD (n = 614).ResultsThe PROBAST-rating revealed a substantial risk of bias across studies, primarily due to inappropriate methodological choices. Most studies did not adhere to the examined prediction modeling standards, employing LOO CV and allowing data leakage. The comparison between the traditional and advanced approach revealed that ignoring these standards could systematically overestimate the utility of the PAI.ConclusionOur study cautions that violating standards in predictive modeling may strongly influence the evaluation of the PAI's utility, possibly leading to false positive results. To support an unbiased evaluation, crucial for potential clinical application, we provide a low-bias, openly accessible, and meticulously annotated script implementing the PAI.
The prolonged process of developing mental state verb use: evidence from a parental questionnaire
Authors: Eilon Inbal , Novogrodsky Rama 
Published: December 2024

AbstractMental state verbs (MSVs) describe people’s knowledge, thoughts, feelings and desires, and develop through early childhood. This study used a cross-sectional design and a parental questionnaire to describe the developmental process of MSV use by exploring different trajectories of semantic categories within MSVs. One-hundred-fourteen typically developing, Hebrew-speaking children, ages 1;6–10;0 participated in the study. Their parents completed a questionnaire developed for the current study, which contains MSVs from five semantic categories: desire, emotion, cognition, perception, and psychological, plus physical verbs as a control category. Among them, 58 children (ages 3;2–10;0 years) participated in a narrative task that prompted production of MSVs. Results showed scores increased with age from early childhood to elementary school, demonstrating prolonged development of using MSVs. A minor advantage for girls was found in the younger ages compared with boys. Both, boys and girls had different developmental trajectories for physical, physiological, and desire verbs compared with cognition and emotion verbs. The correlation found between the questionnaire scores and the narrative task supports the validity of the questionnaire for assessing MSV use in children. The results are explained by the complex syntactic structure and abstract meaning of MSVs.
Adaptive politics, or countering the myth of German transformation after 1945
Authors: Jung Laura 
Published: December 2024

Abstract
International Relations (IR) accounts of the post–World War II international order often claim that after its defeat, Germany ‘transformed’ from a fascist, militaristic, and racist state into a model liberal democracy, facilitating its full rehabilitation and integration into Western institutions and alliances. Yet a closer examination of post-war German domestic and international politics challenges this account: denazification was widely reviled, survivors faced ongoing persecution, and a retooled antisemitism asserted itself in international diplomacy. This article offers the concept of adaptive politics to capture how collectively held beliefs, identities, policies, and conduct travel across incisive political events like defeat in war, occupation, and genocide, outlining the complex concurrence of continuity, adaptation, and change in their aftermath. Drawing on theories of sovereignty, biopolitics, racism, and antisemitism, the article tracks the unfolding of West German adaptive politics in the immediate post-war period, focusing on efforts to exonerate perpetrators, modifications of racism and antisemitism, and the role of the trauma diagnosis in debilitating survivors. By sanitising this history, IR scholarship positions the post-war liberal international order, and the international politics of the West more broadly, as entirely disconnected from the disordered conduct associated with Nazism.
Improved basic elements detection algorithm for bridge engineering design drawings based on YOLOv5
Authors: An Ning , Huang Linsheng , Hu Mengnan , Zhu Junan , Wang Chuanjian 
Published: December 2024

Abstract
Bridge engineering design drawings basic elements contain a large amount of important information such as structural dimensions and material indexes. Basic element detection is seen as the basis for digitizing drawings. Aiming at the problem of low detection accuracy of existing drawing basic elements, an improved basic elements detection algorithm for bridge engineering design drawings based on YOLOv5 is proposed. Firstly, coordinate attention is introduced into the feature extraction network to enhance the feature extraction capability of the algorithm and alleviate the problem of difficult recognition of texture features inside grayscale images. Then, targeting objectives across different scales, the standard 3 × 3 convolution in the feature pyramid network is replaced with switchable atrous convolution, and the atrous rate is adaptively selected for convolution computation to expand the sensory field. Finally, experiments are conducted on the bridge engineering design drawings basic elements detection dataset, and the experimental results show that when the Intersection over Union is 0.5, the proposed algorithm achieves a mean average precision of 93.6%, which is 3.4% higher compared to the original YOLOv5 algorithm, and it can satisfy the accuracy requirement of bridge engineering design drawings basic elements detection.
Disturbances in higher order consciousness encountered in neuropsychological rehabilitation and assessment
Authors: Prigatano George P. 
Published: December 2024

AbstractObjective:The purpose of this invited paper was to summarize my clinical research on disturbances of higher order consciousness (i.e., primarily on self-awareness but including anosognosia and impaired awareness of another person’s cognitive/emotional state) that contributed to my receiving the Distinguished Career Award from the International Neuropsychology Society.Methods:I reviewed my early clinical encounters with disturbances in higher order consciousness and then a series of studies performed with various colleagues over the last 45 years to better understand the nature of these disturbances. The findings obtained are also discussed within the context of other researchers’ observations during this time frame.Results:Disturbances in higher order consciousness include classic anosognosia, impaired self-awareness, denial of disability, and denial of ability. Proposed diagnostic features of each of these disturbances are outlined and a model for understanding their complex relationships suggested. Different treatment/rehabilitation approaches for these disturbances are also summarized.Conclusion:Disturbances in higher order consciousness are often revealed when exploring with the person their subjective experiences of their neurological and neuropsychological functioning following different brain disorders. These subjective experiences have diagnostic value and lead to different rehabilitation approaches. The neuropsychological investigation of disturbances in higher order consciousness should include integrating knowledge from the neurosciences with nonbiological understandings of how cultural and personality features of the person may also influences their subjective experiences associated with a known or suspected brain disorder.
Mobility patterns along the Eastern Silk Roads (tenth to fourteenth centuries): a global-microhistorical perspective
Authors: Vér Márton 
Published: December 2024

Abstract
This study investigates the importance of interregional mobility along the Eastern Silk Roads during the Mongol period, highlighting the interconnectedness of postal and pilgrim networks in eastern Central Asia, with a particular focus on mid-fourteenth-century changes in the multifaceted dynamics of overland mobility under Mongol rule. By referencing an extensive corpus of Old Uyghur and Middle Mongolian administrative texts, as well as pilgrim inscriptions, the research provides a nuanced understanding of the relationship between the Mongol administration and the postal system within it, and how they were connected with pilgrim activities. The article uncovers valuable insights into how mobility patterns changed over time. Furthermore, a comprehensive analysis of the geographical aspects of these networks reveals enduring links between the Eastern Tianshan Region and the Gansu Corridor, whilst also underlining the expansion of pilgrim networks during the Mongol period. The research also explores the societal implications of these mobility networks, highlighting the importance of religious affiliation and social status in overland mobility. This comprehensive analysis illuminates the Eastern Silk Roads and presents a unique perspective on the interplay of political, religious, and socio-economic factors that shaped the history of the region during Mongol rule.
Video call-based cognitive behaviour therapy for adults with common mental health conditions: a systematic review and meta-analysis
Authors: Ebrahimjee Anisah , Hodsoll John , Valmaggia Lucia , Hickling Lauren M. , Riches Simon 
Published: December 2024

Abstract
Implementation of video call-based cognitive behavioural therapy (CBT) has increased significantly since the COVID-19 pandemic, enabling more flexible delivery, but less is known about user experience and effectiveness. This systematic review and meta-analysis investigated feasibility, acceptability, and effectiveness of individual video call-based CBT for adults with mild to moderate mental health conditions (Prospero CRD42021291055). Medline, Embase, PsycINFO and Web of Science were searched until 4 September 2023. The Effective Public Health Practice Project Quality Assessment Tool (EPHPP) assessed methodological quality of studies. Meta-analysis was conducted in R. Thirty studies (n=3275), published 2000 to 2022, mainly in the USA (n=22/30, 73%), were included. There were 15 randomised control trials, one controlled clinical trial, and 14 uncontrolled studies. Findings indicated feasibility, acceptability and effectiveness (effect size range 0.02–8.30), especially in post-traumatic stress disorder (PTSD) for military populations. Other studies investigated depression, obsessive-compulsive disorder, panic with agoraphobia, insomnia, and anxiety. Studies indicated that initial challenges with video call-based CBT subsided as therapy progressed and technical difficulties were managed with limited impact on care. EPHPP ratings were strong (n=12/30, 40%), moderate (n=12/30, 40%), and weak (n=6/30, 20%). Meta-analysis on 12 studies indicated that the difference in effectiveness of video call-based CBT and in-person CBT in reducing symptoms was not significant (SMD=0.044; CI=–0.086; 0.174). Video calls could increase access to CBT without diminishing effectiveness. Limitations include high prevalence of PTSD studies, lack of standardised definitions, and limited studies, especially those since the COVID-19 pandemic escalated use of video calls.

Key learning aims

This review assesses feasibility, acceptability, and effectiveness of individual video call-based CBT for adults with mild to moderate common mental health conditions, as defined by the ICD-11.

Secondary aims were to assess if the therapeutic relationship is affected and identify any potential training needs in delivering video call-based CBT.

The adjunct meta-analysis quantitatively explored whether video call-based CBT is as effective as in-person interventions in symptom reduction on primary outcome measures by pooling estimates for studies that compare these treatment conditions.
How Seven Different “Empathies” Correlate With Personality
Authors: Duong Fred , Hall Judith A. , Schwartz Rachel 
Published: December 2024

Abstract: Self-report measures of empathy capture several distinct facets of the empathy concept. What does this mean for how different “empathies” are correlated with personality? To find out, we measured six empirically derived facets of self-reported empathy in a data-driven approach, plus self-reported global empathy, along with 25 personality variables ( N = 351). The analysis consisted of first correlating each of these seven empathy facets with all of the personality variables, yielding a vector of personality correlates for each empathy facet. Next, we created profile correlations by correlating these vectors of correlates between the empathy facets to show similarities and differences in terms of their pattern of personality correlates. Some of the empathy facets had extremely similar profiles of personality correlates, while others stood apart. These findings indicate that the personality profile of an empathic person depends on the specific facet of empathy that is employed.
The First Global Catalog of Rockfall Locations on Mars
Authors: Bickel V. T. , Daubar I. J. , Sokolowska A. J. , Bonab A. , Haut I. , Conway S. J. 
Published: December 2024

AbstractRockfalls are ubiquitous expressions of present‐day landscape evolution across the solar system. On Mars, their distribution has been proposed to indicate endo‐ and exogenic drivers, such as tectonic activity and solar‐driven thermal fatigue. Here, we present the first global catalog of 1,383 rockfall‐bearing locations on Mars, derived using MRO HiRISE images and a machine learning‐driven and human‐reviewed mapping approach. Rockfalls are documented between 82°N and 53°S, are heterogeneously distributed, and predominantly occur on the steep walls of craters and fossae. Globally, we do not observe a significant relation between rockfall abundance and terrain age, insolation, volatile abundance, wind speed, and impact or tectonic events, implying that rockfall drivers might act on varying spatiotemporal scales and differ across the planet—dissimilar to rockfalls on other bodies, like the Moon. Our results help characterize the current geologic processes that are shaping the surfaces of Mars and other solar system bodies today.
The Water Vapor Origin of a Rainstorm Event in the Taklamakan Desert
Authors: Gong Yongqi , Yu Haipeng , Hu Huancui , Huang Jianping , Ren Yu , Zhou Jie , Peng Ming , Chen Siyu , Alam Khan , Zhao Wen , Cheng Shanling , Zhu Yunsai 
Published: December 2024

AbstractIn July 2021, the Taklamakan Desert (TD) experienced an unprecedented rainstorm with daily precipitation exceeding 61.1 mm, triggering mudslides and landslides, highlighting the increasing frequency of extreme precipitation events even in arid regions under global warming. The water vapor sources and transport paths of this rainstorm are still puzzling due to the insufficient representation of physical processes in previous analytical models, leading to possible deviations from reality. Here, using the online Eulerian Weather Research and Forecasting model with water vapor tracer (WRF‐WVT), we aim for an improved understanding of water vapor sources of the rainfall event. Results demonstrate that the most important water source for this event is water vapor from local evapotranspiration, contributing to 32.77% of the rainstorm moisture. Water vapor from Upstream Westerlies (28.95%) and East Asian Drylands (28.54%) are transported over the precipitation area by the westerlies owing to the strong lower‐level low‐pressure system, being the second‐most important precipitation source. These sources contribute significantly more than other regions, including the Arabian Sea (5.56%), the Tibetan Plateau (2.16%), and the South Asian Monsoon (0.77%). External moisture sources collectively provide over 65.98% of the precipitation, underscoring their important role. Notably, local evapotranspiration significantly influences precipitation, exceeding the contributions from other individual sources. By comparing with the 2016 precipitation event, it is found that a low‐pressure trough extending southward to the west of the TD plays a significant role in the 2021 rainstorm event. The presence of the trough significantly enhances the moisture transport of the westerlies and the upward motion, contributing to the occurrence of extreme precipitation events.
Controls on Lake Pelagic Primary Productivity: Formalizing the Nutrient‐Color Paradigm
Authors: Oleksy Isabella A. , Solomon Christopher T. , Jones Stuart E. , Olson Carly , Bertolet Brittni L. , Adrian Rita , Bansal Sheel , Baron Jill S. , Brothers Soren , Chandra Sudeep , Chou Hsiu‐Mei , Colom‐Montero William , Culpepper Joshua , de Eyto Elvira , Farragher Matthew J. , Hilt Sabine , Holeck Kristen T. , Kazanjian Garabet , Klaus Marcus , Klug Jennifer , Köhler Jan , Laas Alo , Lundin Erik , Parkes Alice H. , Rose Kevin C. , Rustam Lars G. , Rusak James , Scordo Facundo , Vanni Michael J. , Verburg Piet , Weyhenmeyer Gesa A. 
Published: December 2024

AbstractUnderstanding controls on primary productivity is essential for describing ecosystems and their responses to environmental change. In lakes, pelagic gross primary productivity (GPP) is strongly controlled by inputs of nutrients and dissolved organic matter. Although past studies have developed process models of this nutrient‐color paradigm (NCP), broad empirical tests of these models are scarce. We used data from 58 globally distributed, mostly temperate lakes to test such a model and improve understanding and prediction of the controls on lake primary production. The model includes three state variables–dissolved phosphorus, terrestrial dissolved organic carbon (DOC), and phytoplankton biomass–and generates realistic predictions for equilibrium rates of pelagic GPP. We calibrated our model using a Bayesian data assimilation technique on a subset of lakes where DOC and total phosphorus (TP) loads were known. We then asked how well the calibrated model performed with a larger set of lakes. Revised parameter estimates from the updated model aligned well with existing literature values. Observed GPP varied nonlinearly with both inflow DOC and TP concentrations in a manner consistent with increasing light limitation as DOC inputs increased and decreasing nutrient limitation as TP inputs increased. Furthermore, across these diverse lake ecosystems, model predictions of GPP were highly correlated with observed values derived from high‐frequency sensor data. The GPP predictions using the updated parameters improved upon previous estimates, expanding the utility of a process model with simplified assumptions for water column mixing. Our analysis provides a model structure that may be broadly useful for understanding current and future patterns in lake primary production.
Chronic wound management: a liquid diode-based smart bandage with ultrasensitive pH sensing ability
Authors: Wang Xueqi , Cheng Jing , Wang Han 
Published: December 2024

AbstractChronic wounds, which require prolonged healing periods, pose significant impacts on individuals with diabetes, vascular diseases, and high blood pressure. Simultaneous drainage and monitoring of wound exudate are vital for advanced wound management. However, recently reported smart dressings either lack integration of wound cleaning and monitoring functions or fail to achieve dynamic in situ monitoring of wound status, which hinders their ability to meet the demands of wound care. In this study, a smart bandage is introduced, which integrates a biocompatible liquid diode membrane with an ultrasensitive 3D polyaniline mesh (M-PANI)-based pH biosensor. The smart bandage allows for unidirectional drainage of wound exudate while dynamically sensing the wound pH environment. Specifically, the proposed smart bandage effectively cleans excessive wound exudate while providing real-time information on the wound status during the drainage process. The M-PANI-based pH biosensor demonstrates a high sensitivity of 61.5 mV/pH and a wide pH detection range from 4.0 to 10.0, encompassing the pH range of normal and infected wounds. Moreover, the sensing module exhibits excellent stability after 48 hours of dynamic testing and 28 days of storage, with only a 4.8% decline in the detected signal, and high repeatability with a device-to-device relative standard deviation (RSD) of 3.1%. To evaluate the practicality of this smart bandage, simulated skin and rats have been employed, and the results indicate the immense potential of this smart bandage for clinical applications. In conclusion, the present smart bandage demonstrates considerable promise for wound exudate cleaning and monitoring in advanced wound care and offers a promising method for home-based wound management.
Elevated mutation rates in multi-azole resistant Aspergillus fumigatus drive rapid evolution of antifungal resistance
Authors: Bottery Michael J. , van Rhijn Norman , Chown Harry , Rhodes Johanna L. , Celia-Sanchez Brandi N. , Brewer Marin T. , Momany Michelle , Fisher Matthew C. , Knight Christopher G. , Bromley Michael J. 
Published: December 2024

AbstractThe environmental use of azole fungicides has led to selective sweeps across multiple loci in the Aspergillus fumigatus genome causing the rapid global expansion of a genetically distinct cluster of resistant genotypes. Isolates within this cluster are also more likely to be resistant to agricultural antifungals with unrelated modes of action. Here we show that this cluster is not only multi-azole resistant but has increased propensity to develop resistance to next generation antifungals because of variants in the DNA mismatch repair system. A variant in msh6-G233A is found almost exclusively within azole resistant isolates harbouring the canonical cyp51A azole resistance allelic variant TR34/L98H. Naturally occurring isolates with this msh6 variant display up to 5-times higher rate of mutation, leading to an increased likelihood of evolving resistance to other antifungals. Furthermore, unlike hypermutator strains, the G233A variant conveys no measurable fitness cost and has become globally distributed. Our findings further suggest that resistance to next-generation antifungals is more likely to emerge within organisms that are already multi-azole resistant due to close linkage between TR34/L98H and msh6-G233A, posing a major problem due to the prospect of dual use of novel antifungals in clinical and agricultural settings.