bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development and functional testing of a novel in vitro delayed scratch closure assay
Authors: Aw Yi Bing , Chen Sixun , Yeo Aimin , Dangerfield John A. , Mok Pamela 
Published: May 2024

AbstractAs the development of chronic wound therapeutics continues to expand, the demand for advanced assay systems mimicking the inflammatory wound microenvironment in vivo increases. Currently, this is performed in animal models or in in vitro cell-based models such as cell culture scratch assays that more closely resemble acute wounds. Here, we describe for the first time a delayed scratch closure model that mimics some features of a chronic wound in vitro. Chronic wounds such as those suffered by later stage diabetic patients are characterised by degrees of slowness to heal caused by a combination of continued localised physical trauma and pro-inflammatory signalling at the wound. To recreate this in a cell-based assay, a defined physical scratch was created and stimulated by combinations of pro-inflammatory factors, namely interferon, the phorbol ester PMA, and lipopolysaccharide, to delay scratch closure. The concentrations of these factors were characterised for commonly used human keratinocyte (HaCaT) and dermal fibroblast (HDF) cell lines. These models were then tested for scratch closure responsiveness to a proprietary healing secretome derived from human Wharton’s jelly mesenchymal stem cells (MSCs) previously validated and shown to be highly effective on closure of acute wound models both in vitro and in vivo. The chronically open scratches from HaCaT cells showed closure after exposure to the MSC secretome product. We propose this delayed scratch closure model for academic and industrial researchers studying chronic wounds looking for responsiveness to drugs or biological treatments prior to testing on explanted patient material or in vivo.
GALAD score as a prognostic model for recurrence of hepatocellular carcinoma after local ablation
Authors: Qiao Wenying , Li Jiashuo , Xiong Yiqi , Zheng Jiasheng , Jin Ronghua , Hu Caixia 
Published: May 2024

Abstract
Background
Currently, the high recurrence rate still forms severe challenges in hepatocellular carcinoma (HCC) treatment. The GALAD score, including age, gender, alpha-fetoprotein (AFP), lens culinaris agglutinin-reactive AFP (AFP-L3), and des-gamma-carboxyprothrombin (DCP) was developed as a diagnostic model. However, evidence is still lacking to confirm the capability of the GALAD score to predict the recurrence of HCC.

Methods
This study included 390 HCC patients after local ablation at Beijing You'an Hospital from January 1, 2018, to December 31, 2022. Firstly, the area under the receiver operating characteristic (ROC) curve (AUC) was calculated to assess the predictive capability of the GALAD score. Then, the Kaplan–Meier (KM) curve and log-rank test were used to compare the prognosis between two groups classified by GALAD score. Finally, a nomogram for high-risk patients was established by Lasso-Cox regression. It was assessed by ROC curves, calibration curves, and decision curve analysis (DCA).

Results
The ROC curve (AUC: 0.749) and KM curve showed the GALAD score had good predictive ability and could clearly stratify patients into two groups through the risk of recurrence. Prognostic factors selected by Lasso-Cox regression contained tumor number, tumor size, and globulin. The nomogram for high-risk patients showed reliable discrimination, calibration, and clinical utility.

Conclusion
This research displayed that the GALAD score is an effective model for predicting the recurrence of HCC. Meanwhile, we found the poor prognosis of the high-risk group and created a nomogram for these patients.
Sequenzvarianten unklarer Signifikanz bei Small-Fiber-Neuropathie
Authors: Meyer zu Altenschildesche Caren , Egenolf Nadine , Lischka Annette , Üçeyler Nurcan 
Published: May 2024

Zusammenfassung
Hintergrund
Bei etwa der Hälfte der PatientInnen mit Small-Fiber-Neuropathie (SFN) findet sich für die Schmerzsymptomatik keine erklärende und behandelbare Ätiologie. Es häufen sich Berichte zu genetisch-neuropathischen Schmerzsyndromen. Auch einige SFN-PatientInnen weisen Variationen in schmerzassoziierten Genen auf. Teils sind diese bereits als „pathogen“ bestätigt, andere haben eine „unklare pathogenetische Relevanz“. Trotz des hohen Anteils betroffener PatientInnen ist über die genetische SFN bislang wenig bekannt.

Fragestellung
In unserer Arbeit fokussierten wir uns auf diese Kohorte: Durch Sammlung klinischer Daten sollten Charakteristika der PatientInnen mit seltenen Varianten unklarer Signifikanz in schmerzassoziierten Genen gesammelt werden.

Material und Methoden
Von 2015 bis 2020 untersuchten wir 66 PatientInnen mit initial „idiopathischer“ SFN. Bei 13/66 (20 %) wurden Varianten unklarer pathogenetischer Relevanz in schmerzassoziierten Genen detektiert. Alle rekrutierten PatientInnen unterzogen sich einer detaillierten Anamneseerhebung mit Fokus auf Schmerz und beantworteten Fragebögen zu Beschwerden und Belastung.

Ergebnisse
Die Kohorte mit seltener Variante in schmerzassoziierten Genen zeigte gegenüber den anderen PatientInnen subtile klinische Unterschiede: Neben einer höheren physischen und psychischen Belastung konnten eine von außen beeinflussbare Symptomatik und eine herausfordernde Therapie nachgewiesen werden.

Diskussion
Wir sehen eine frühzeitige genetische Diagnostik bei SFN als essenziell: Durch weitere supportive Maßnahmen wie Vermeidung von Einflussfaktoren, Stärkung der Resilienz und eventuell künftig verfügbare zielgerichtete Therapeutika kann die Versorgung der PatientInnen mit seltener Variante in schmerzassoziierten Genen optimiert werden.
Short-term multi-step-ahead sector-based traffic flow prediction based on the attention-enhanced graph convolutional LSTM network (AGC-LSTM)
Authors: Zhang Ying , Xu Shimin , Zhang Linghui , Jiang Weiwei , Alam Sameer , Xue Dabin 
Published: May 2024

AbstractAccurate sector-based air traffic flow predictions are essential for ensuring the safety and efficiency of the air traffic management (ATM) system. However, due to the inherent spatial and temporal dependencies of air traffic flow, it is still a challenging problem. To solve this problem, some methods are proposed considering the relationship between sectors, while the complicated spatiotemporal dynamics and interdependencies between traffic flow of route segments related to the sector are not taken into account. To address this challenge, the attention-enhanced graph convolutional long short-term memory network (AGC-LSTM) model is applied to improve the short-term sector-based traffic flow prediction, in which spatial structures of route segments related to the sector are considered for the first time. Specifically, the graph convolutional networks (GCN)-LSTM network model was employed to capture spatiotemporal dependencies of the flight data, and the attention mechanism is designed to concentrate on the informative features from key nodes at each layer of the AGC-LSTM model. The proposed model is evaluated through a case study of the typical enroute sector in the central–southern region of China. The prediction results show that MAE reduces by 14.4% compared to the best performing GCN-LSTM model among the other five models. Furthermore, the study involves comparative analyses to assess the influence of route segment range, input and output sequence lengths, and time granularities on prediction performance. This study helps air traffic managers predict flight situations more accurately and avoid implementing overly conservative or excessively aggressive flow management measures for the sectors.
A novel artificial intelligence-based endoscopic ultrasonography diagnostic system for diagnosing the invasion depth of early gastric cancer
Authors: Uema Ryotaro , Hayashi Yoshito , Kizu Takashi , Igura Takumi , Ogiyama Hideharu , Yamada Takuya , Takeda Risato , Nagai Kengo , Inoue Takuya , Yamamoto Masashi , Yamaguchi Shinjiro , Kanesaka Takashi , Yoshihara Takeo , Kato Minoru , Yoshii Shunsuke , Tsujii Yoshiki , Shinzaki Shinichiro , Takehara Tetsuo 
Published: May 2024

Abstract
Background
We developed an artificial intelligence (AI)-based endoscopic ultrasonography (EUS) system for diagnosing the invasion depth of early gastric cancer (EGC), and we evaluated the performance of this system.

Methods
A total of 8280 EUS images from 559 EGC cases were collected from 11 institutions. Within this dataset, 3451 images (285 cases) from one institution were used as a development dataset. The AI model consisted of segmentation and classification steps, followed by the CycleGAN method to bridge differences in EUS images captured by different equipment. AI model performance was evaluated using an internal validation dataset collected from the same institution as the development dataset (1726 images, 135 cases). External validation was conducted using images collected from the other 10 institutions (3103 images, 139 cases).

Results
The area under the curve (AUC) of the AI model in the internal validation dataset was 0.870 (95% CI: 0.796–0.944). Regarding diagnostic performance, the accuracy/sensitivity/specificity values of the AI model, experts (n = 6), and nonexperts (n = 8) were 82.2/63.4/90.4%, 81.9/66.3/88.7%, and 68.3/60.9/71.5%, respectively. The AUC of the AI model in the external validation dataset was 0.815 (95% CI: 0.743–0.886). The accuracy/sensitivity/specificity values of the AI model (74.1/73.1/75.0%) and the real-time diagnoses of experts (75.5/79.1/72.2%) in the external validation dataset were comparable.

Conclusions
Our AI model demonstrated a diagnostic performance equivalent to that of experts.
An update on tests used for intraoperative monitoring of cognition during awake craniotomy
Authors: de Zwart Beleke , Ruis Carla 
Published: May 2024

Abstract

Purpose
Mapping higher-order cognitive functions during awake brain surgery is important for cognitive preservation which is related to postoperative quality of life. A systematic review from 2018 about neuropsychological tests used during awake craniotomy made clear that until 2017 language was most often monitored and that the other cognitive domains were underexposed (Ruis, J Clin Exp Neuropsychol 40(10):1081–1104, 218). The field of awake craniotomy and cognitive monitoring is however developing rapidly. The aim of the current review is therefore, to investigate whether there is a change in the field towards incorporation of new tests and more complete mapping of (higher-order) cognitive functions.

Methods
We replicated the systematic search of the study from 2018 in PubMed and Embase from February 2017 to November 2023, yielding 5130 potentially relevant articles. We used the artificial machine learning tool ASReview for screening and included 272 papers that gave a detailed description of the neuropsychological tests used during awake craniotomy.

Results
Comparable to the previous study of 2018, the majority of studies (90.4%) reported tests for assessing language functions (Ruis, J Clin Exp Neuropsychol 40(10):1081–1104, 218). Nevertheless, an increasing number of studies now also describe tests for monitoring visuospatial functions, social cognition, and executive functions.

Conclusions
Language remains the most extensively tested cognitive domain. However, a broader range of tests are now implemented during awake craniotomy and there are (new developed) tests which received more attention. The rapid development in the field is reflected in the included studies in this review. Nevertheless, for some cognitive domains (e.g., executive functions and memory), there is still a need for developing tests that can be used during awake surgery.
Conjunctive surface water and groundwater management in a multiple user environment
Authors: Zhang Z. Y. , Sato M. 
Published: May 2024

AbstractThe conjunctive use of surface water and groundwater is practiced worldwide as a measure to address water supply uncertainty. This paper focuses on a scenario in which an aquifer is open to multiple users and examines the impact of such an open-access environment on the stabilization function of conjunctive management. We construct a non-cooperative stochastic dynamic game model where multiple users utilize groundwater intake from a common aquifer as a complement to fluctuating surface water. We also propose a simpler baseline applicable to dynamic environments to compute the benefits of the stabilization function when users are unable to adjust groundwater intake to surface water uncertainties. We then apply the model to the real-world case of the water supply environment of the Cao’e River in China. Simulation results show that open access leads to diminishing stabilization values as higher pumping costs due to declining stocks lead to a weakening of users’ incentive to utilize groundwater flexibly. Furthermore, the stabilization function itself is destabilized as the number of users increases. This is because greater groundwater intake and a decline in stocks amplify variations in pumping costs caused by different patterns of surface-water fluctuation.
Gilles de la Tourette syndrome as a rare co-morbidity of Klinefelter syndrome
Authors: Cavanna Andrea E. , Paini Giulia , Purpura Giulia , Riva Anna , Nacinovich Renata , Seri Stefano 
Published: May 2024

Abstract
Background
Klinefelter syndrome (47, XXY) is the most common sex chromosome aneuploidy. In addition to male hypergonadotropic hypogonadism, a wide range of neurodevelopmental disorders, anxiety and affective symptoms have been reported in a substantial proportion of cases.

Case description
We document the rare case of a 43-year-old man diagnosed with Klinefelter syndrome and co-morbid Gilles de la Tourette syndrome. He presented with multiple motor and vocal tics since adolescence, as well as anxiety and affective symptoms as his main tic-exacerbating factors. Tic severity was rated as marked (Yale Global Tic Severity Scale score of 78/100), and recommendations for the treatment of both tics and psychiatric co-morbidities were formulated.

Discussion
Neurodevelopmental tics in the context of Klinefelter syndrome have been previously documented in three cases only. Gilles de la Tourette syndrome is 3–4 times more common in males than females and its etiological factors include multiple genetic components (genetic heterogeneity). Our case report widens the spectrum of neurodevelopmental disorders observed in the context of Klinefelter syndrome and contributes to genetic research on the role of the X chromosome in the pathophysiology of tic disorders.
Teaching advanced technology (ADAS) and use of touch screens in driver training in Norway
Authors: Saetren Gunhild Birgitte , Vaag Jonas Rennemo , Saghafian Mina , Wigum Jan Petter , Helde Roger 
Published: May 2024

AbstractAs many as 4,601 people were injured or killed on the roads in Norway in 2022. This number is too high and highlights the necessity of putting road safety on the agenda. The car industry today is represented by a vast increase in advanced technology for drivers to interact with, and knowing how and when to use this technology is crucial for safe driving. Thus, our research question was: Does the Norwegian driver training industry teach advanced driver assistance technology (ADAS) and touch screens in their driver training?A survey was distributed to 1,058 driving schools in Norway, resulting in 333 responses. The results showed that driving instructors spend considerably more effort on teaching inbuilt driving assist technologies that enhance driving safety than on those that are designed to enhance safety but that, if not understood well, could lead to hazardous outcomes. Suggestions on how to improve driver training and driving instructor education are made. Research and practical implications are presented to make sure that driving education is updated and aligned with technological advancements in the automobile industry and to ensure traffic safety for all road users.
A proposed stratification system to address the heterogeneity of Subdural Hematoma Outcome reporting in the literature
Authors: Nisson Peyton L. , Francis John , Michel Michelot , Maeda Takuma , Patil Chirag 
Published: May 2024

AbstractA major challenge within the academic literature on SDHs has been inconsistent outcomes reported across studies. Historically, patients have been categorized by the blood-product age identified on imaging (i.e., acute, subacute, or chronic). However, this schematic has likely played a central role in producing the heterogeneity encountered in the literature. In this investigation, a total of 494 patients that underwent SDH evacuation at a tertiary medical center between November 2013-December 2021 were retrospectively identified. Mechanism of injury was reviewed by the authors and categorized as either positive or negative for a high-velocity impact (HVI) injury. Any head strike injury leading to the formation of a SDH while traveling at a velocity beyond that of normal locomotion or daily activities was categorized as an HVI. Patients were subsequently stratified by those with an acute SDHs after a high-velocity impact (aSDHHVI), those with an acute SDH without a high-velocity impact injury (aSDHWO), and those with any combination of subacute or chronic blood products (mixed-SDH [mSDH]). Nine percent (n = 44) of patients experienced an aSDHHVI, 23% (n = 113) aSDHWO, and 68% (n = 337) mSDH. Between these groups, highly distinct patient populations were identified using several metrics for comparison. Most notably, aSDHHVI had a significantly worse neurological status at discharge (50% vs. 23% aSDHWO vs. 8% mSDH; p < 0.001) and mortality (25% vs. 8% aSDHWO vs. 4% mSDH; p < 0.001). Controlling for gender, midline shift (mm), and anticoagulation use in the acute SDH population, multivariable logistic regression revealed a 6.85x odds ratio (p < 0.001) for poor outcomes in those with a positive history for a high-velocity impact injury. As such, the distribution of patients that suffer an HVI related acute SDH versus those that do not can significantly affect the outcomes reported. Adoption of this stratification system will help address the heterogeneity of SDH reporting in the literature while still closely aligning with conventional reporting.
Back to a resilient future: Digital technologies for a sustainable supply chain
Authors: Winkelmann Stephanie , Guennoun Rajae , Möller Frederik , Schoormann Thorsten , van der Valk Hendrik 
Published: May 2024

AbstractEconomic, political, and societal pressure forces companies to act more sustainably. New legislation and regulation such as the Supply Chain Act, mandates companies to take responsibility for their actions as well as those of their supply chain collaborators. Meeting these requirements demands transparency. Digital technologies along the supply chain have the potential to collect diverse types of data and raise awareness for sustainability purposes. For example, data obtained from multiple supply chain participants can be used to estimate CO2 emissions or optimize resource utilization. Following guidelines for systematically reviewing a body of literature, this paper therefore investigates the distribution of digital technologies in supply chains for sustainability. Based on a collected corpus of 70 articles, we identify seven key digital technologies and indicate how they can be employed to contribute to economic, environmental, and social sustainability. The results show that (1) blockchain is the most used technology for sustainability within the supply chain and (2) the majority of articles on digital technologies in our corpus address the social dimension of sustainability. Our findings advance the understanding of how digitalization can transform supply chains into more sustainable entities and help practitioners decide which technology fits a certain sustainability dimension.
Nonlinear dynamics and game-theoretic modeling in economics and finance
Authors: Bischi Gian Italo , Baiardi Lorenzo Cerboni , Lamantia Fabio , Radi Davide 
Published: May 2024

AbstractIn this foreword to the Special Issue “Nonlinear dynamics and game-theoretical modeling in economics and finance” we review the contributions in the issue highlighting the economic results and the connections with aspects of dynamic analysis. Indeed, the common theme of the contributions is the focus on system dynamics and the latest analytical techniques. This issue is devoted to celebrating the 70th birthday of Professor Laura Gardini, who inspired a generation of scholars in the study of discrete-time systems and global methods of analysis.
Successful invasion: camera trap distance sampling reveals higher density for invasive raccoon dog compared to native mesopredators
Authors: Selonen V. , Brommer J. E. , Klangwald C. , Laaksonen T. 
Published: May 2024

AbstractMonitoring population parameters of invasive species gains importance as these species continue to expand all over the world. Monitoring of invasive mammalian mesopredators is, however, complicated due to their nocturnal and secretive behaviour. In the European Union, the most common invasive mesopredator is the raccoon dog (Nyctereutes procyonoides), which causes concerns for native species, such as endangered waterfowl that may be subject to nest predation. We studied the density of mesopredators in southern Finland with wildlife cameras, using methodology of distance sampling. We deployed in total of 175 camera traps around 11 (spring 2020) and 16 (spring 2021) lakes or wetlands. We inferred densities for raccoon dogs, and for native mesopredators the red fox (Vulpes vulpes) and the European badger (Meles meles) for comparison. Raccoon dogs were found to have higher overall as well as site-specific densities (about 3.7 ind./km2) than badgers (1.2 ind./km2) and red foxes (0.6 ind./km2). The raccoon dogs also were present at every study wetland, while badgers were not found at all sites. The red fox showed more diurnal activity compared to raccoon dogs and badgers. Camera trap distance sampling enabled us to provide a density estimates on a rather small spatial and temporal scale for species of similar size and movement speed. It could therefore prove valuable as a long-term monitoring option, as climate trends are likely to further enable raccoon dog expansion. Currently this invasive species appears to be the most common mesopredator around wetlands in the southern boreal zone of southern Finland.
Do Old Board Directors Promote Corporate Social Responsibility?
Authors: Lee Han-Hsing , Liang Woan-lih , Tran Quynh-Nhu , Truong Quang-Thai 
Published: May 2024

AbstractThis study investigates the influence of old directors on corporate social responsibility (CSR) using roughly 25,000 firm-year observations from 2001 to 2015 in the United States. We employ the widely used selection, optimization, and compensation (SOC) model from psychology to explain the CSR decisions of old directors. Our results indicate that firms with a higher percentage of old directors tend to have lower engagement in CSR activities. To address endogeneity, we adopt the difference-in-differences method and use the event of sudden deaths and unexpected retirements of old directors and find that our results remain robust. Our analysis also reveals that the negative impact of old directors on CSR is more significant in firms where directors receive fewer reputational spillover benefits from CSR initiatives and/or firms exhibiting poor corporate governance. In addition, this adverse impact of old directors comes from two effects: a reduction in efforts to enhance CSR strengths and an increase in inaction to address CSR concerns. Overall, these findings suggest that the CSR decision-making process of old directors involves assessing the costs and benefits of CSR engagements, consistent with our hypothesis derived from the SOC model.