bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ein neuer Textzeuge zu einem neunköpfigen Wesen (pBM EA 10669)
Authors: Mahlich Elena , Theis Christoffer 
Published: November 2023

The present contribution is the editio princeps of pBM EA 10669, of which, despite its very interesting content, no notice has been taken thus far. The papyrus bears a text about a nine-headed figure with the main head in the form of a human being. Various passages inscribed on the papyrus can be paralleled directly with other texts from Egypt and thus offer an informative insight into the religious history of multi-headed beings, particularly during the Late Period in Egypt. [Formula: see text]
Construction and Validation of a Chinese Translation of the Devereux Early Childhood Assessment, Second Edition (DECA-P2)
Authors: Siu Angela F. Y. , KEUNG Chrysa P. C. , TO Alastair H. K. 
Published: November 2023

This study analyzed the psychometric properties of a Chinese version of the teacher-reported Devereux Early Childhood Assessment, Second Edition (DECA-P2) using a sample of 246 children aged between 2 and 6 years old. Confirmatory factor analysis was used to examine its construct validity. Reliability was evaluated based on the internal consistency of the scale items, as well as discriminant and convergent validities were assessed using the Strengths and Difficulties Questionnaire. The findings provide emerging evidence of a four-factor structure (i.e., attachment, initiative, self-regulation, and behavioral concern) and support the use of this Chinese DECA-P2 as a screening instrument to identify social-emotional strengths and behavioral problems among Chinese preschool children. The limitations of this study and its implications concerning the dimensionality of the Chinese DECA-P2 for future research are discussed.
Study on the vibration reduction characteristics of shock absorber throttle orifice in tractor suspension
Authors: Zhang Xin , Xiao Zengliang , Li Zhanlong , Liu Yuanyou 
Published: November 2023

The hydraulic shock absorber of a certain tractor suspension system is analyzed to determine the influence of the cross-sectional area ratio of the throttling holes of the restoration valve and the compression valve on the vibration damping performance of the whole vehicle, using a new method of machine-hydraulic co-simulation. First, the AMESim model of the hydraulic shock absorber is established, and the Kriging model is used to approximate the parameters of the AMESim hydraulic shock absorber model; the multi-island genetic algorithm and the gradient descent algorithm are used to obtain the three scenarios in which the cross-sectional area ratios of the throttle orifices of the same equivalent damping coefficients are greater than, equal to, or less than one. Then, a co-simulation model of 1/4 vehicle Recurdyn/AMESim and a co-simulation model of the whole vehicle with 162 degrees of freedom were established. The result show that, compared with the traditional method, this machine-hydraulic co-simulation method improves the calculation accuracy, calculation speed, and co-simulation model parameter accuracy. For low-speed conditions, when the throttle orifice area ratio equals 0.32, the minimum vehicle body center acceleration (root mean square value equal to 1.78 m/s2) is achieved. For high-speed driving conditions, when the throttle orifice area ratio is approximately 3.1, the minimum vehicle body center acceleration (root mean square value equal to 3.52 m/s2) is achieved.
Shear Wave Tensiometry Can Detect Loading Differences Between Operated and Unaffected Achilles Tendon
Authors: Schneebeli Alessandro , Barbero Marco , Filardo Giuseppe , Testa Enrique , Riegger Martin , Sangiorgio Alessandro , Cescon Corrado , Soldini Emiliano , Falla Deborah 
Published: November 2023

Background: The clinically relevant healing process of a ruptured and repaired Achilles tendon (AT) can last more than a year. The purpose of this cross-sectional study was to test if shear wave tensiometry is able to detect AT loading changes between a surgically managed AT rupture versus the unaffected contralateral tendon. Our secondary aims were to evaluate differences in mechanical properties when measured with myotonometry and morphological properties of the tendons measured with ultrasonographic imaging. Methods: Twenty-one patients with surgically treated AT ruptures were investigated 12-37 months after surgery. Tendon load was measured using a shear wave tensiometer composed of an array of 4 accelerometers fixed on the tendon. Shear wave speed along the Achilles tendon was evaluated at different levels of ankle torque for both the operated and the unaffected side. Mechanical properties of the tendons were evaluated using MyotonPRO and morphological properties using ultrasonographic imaging. Friedman test was used to assess differences in AT wave speed, stiffness, thickness, and cross-sectional area between the operated and the unaffected tendon. Results: We found a significant shear wave speed difference between sides at every ankle joint torque ( P < .05) with a large effect size for the lowest ankle torque and small to medium effect sizes for higher ankle torque. Stiffness, thickness, and cross-sectional area of the operated tendon remained significantly higher compared to the unaffected side. Conclusion: In this cohort, we found that shear wave tensiometry can detect differences between operated and unaffected AT during a standardized loading procedure. The shear wave speed along the operated tendon, as well as the mechanical and morphologic properties, remains higher for 1-3 years after a rupture. Level of Evidence: Level III, case-control study.
Tomographic Evaluation of Bone Height Between the Mandibular Canal and the Inferior Cortex of the Mandible Related to Bicortical Screws Fixation
Authors: Fares Raissa Dias , Leal João Victor Borges , Areas Manuella Zanela da Silva , Valentim da Rocha Hernando , de Moraes Sylvio Luiz Costa , Homsi Nicolas , Ribeiro da Silva Jonathan 
Published: November 2023

Study Design: Original Article. Objective: The surgical treatment of mandibular fractures has undergone several changes over the past 100 years, since the use of wires and intermaxillary fixation, until today where most of the fractures are treated with internal fixation using plates and screws. For the correct use of this hardware, the surgeon must have adequate knowledge of jaw anatomy to prevent complications during the insertion of screws like in fractures of the mandibular body and angle, when the screws of the plate installed in the compression zone can damage the inferior alveolar nerve within the mandibular canal. Methods: To minimize this complication, 66 hemimandibles of adult patients were analyzed in CT scans and manipulated with Dental Slice® software, (BioParts®, Brazil) and measured the shortest distance from the inferior cortex of the mandibular canal to the inferior cortex of the mandibular body during the path of the inferior alveolar nerve, since the mandibular foramen until the mental foramen. Results: The result obtained showed a wide variation of the shortest distance measured (3.52 mm–11.5 mm) with an average of 7.99 mm. Conclusion: The conclusion demonstrated a minimum distance of 3.52 mm below the cortical mandibular canal to the lower border of the mandible and should be considered as a safety margin during the application of fixing the material in the region of the mandibular body.
Disclosure of suicidal ideation in non-psychiatric clinical research: Experience using a novel suicide risk management algorithm in a multi-center smoking cessation trial
Authors: Schertz Kelsey L , Petrik Megan , Branson Mariah , Fu Steven S , Rothman Alexander J , Begnaud Abbie , Joseph Anne M 
Published: November 2023

Background Clinical trials involving pharmacologic or behavioral treatments often assess depression and suicidal ideation for purposes of screening, baseline assessment of potential moderators or mediators of treatment, or as a study outcome, even if the primary condition under study is not a mental health disorder. Suicide risk management in the context of clinical research poses significant clinical, ethical, and practical challenges, and the literature provides little guidance with respect to outcomes of suicide risk management protocols (SRMPs) or suicide risk assessment instruments deployed in the clinical research setting. Methods We report our experience using a novel SRMP in the Program for Lung Cancer Screening and Tobacco Cessation (PLUTO) trial through in-person and remote interactions. Results An SRMP was developed for non-clinical research staff to assess and respond to participants who express suicidal ideation. Between September 2016 and April 2021, the SRMP was used 61 times for 59 individuals. The SRMP was activated by explicit probing of suicidal ideation in 46 of 61 uses (75%). Subject risk was categorized as high-risk in 6 of 61 SRMP uses (10%). Conclusion Our findings demonstrate a useful tool for the management of suicidal ideation and behavior in a clinical trial. Suicidal ideation may be endorsed by only a small number of study participants, however participant safety dictates the need to develop and implement a practical SRMP. These findings may be of relevance to researchers collecting patient reported outcomes remotely. Researchers should consider available resources for SRMPs during design and start-up phases of research.
Water level prediction using long short-term memory neural network model for a lowland river: a case study on the Tisza River, Central Europe
Authors: Vizi Zsolt , Batki Bálint , Rátki Luca , Szalánczi Szabolcs , Fehérváry István , Kozák Péter , Kiss Tímea 
Published: November 2023

Abstract
Background
Precisely predicting the water levels of rivers is critical for planning and supporting flood hazard and risk assessments and maintaining navigation, irrigation, and water withdrawal for urban areas and industry. In Hungary, the water level of rivers has been recorded since the early nineteenth century, and various water level prediction methods were developed. The Discrete Linear Cascade Model (DLCM) has been used since 1980s. However, its performance is not always reliable under the current climate-driven hydrological changes. Therefore, we aimed to test machine learning algorithms to make 7-day ahead forecasts, choose the best-performing model, and compare it with the actual DLCM.

Results
According to the results, the Long Short-Term Memory (LSTM) model provided the best results in all time horizons, giving more precise predictions than the Baseline model, the Linear or Multilayer Perceptron Model. Despite underestimating water levels, the validation of the LSTM model revealed that 68.5‒76.1% of predictions fall within the required precision intervals. Predictions were relatively accurate for low (≤ 239 cm) and flood stages (≥ 650 cm), but became less reliable for medium stages (240–649 cm).

Conclusions
The LSTM model provided better results in all hydrological situations than the DLCM. Though, LSTM is not a novel concept, its encoder–decoder architecture is the best option for solving multi-horizon forecasting problems (or “Many-to-Many” problems), and it can be trained effectively on vast volumes of data. Thus, we recommend testing the LSTM model in similar hydrological conditions (e.g., lowland, medium-sized river with low slope and mobile channel) to get reliable water level forecasts under the rapidly changing climate and various human impacts.

Graphical Abstract
The impact of heating systems scenarios on air pollution at selected residential zone: a case study using AERMOD dispersion model
Authors: Salva Jozef , Poništ Juraj , Rasulov Oqil , Schwarz Marián , Vanek Miroslav , Sečkár Michal 
Published: November 2023

AbstractThe present case study considers fuel base substitution in operation of actual district heating system and in other scenario replacing of district heating system by individual heating system in each apartment building and non-residential building in selected residential zone Zvolen-Sekier, Slovakia. The impact of each heating system was assessed with focus on ambient air quality based on air dispersion modelling of NO2 and CO pollutans using the AERMOD dispersion model. To identify the exposure level on residents, the magnitude and duration of exposure to the hazard were considered according to human health risk assessment method. Results showed that the individual heating systems released significantly higher NO2 and CO concentrations directly in the residential zone compared to district heating system. The obtained results were highly variable for individual scenarios and averaged periods of pollutants concentration. Investigated heating systems scenarios showed low (< 1.0) hazard quotient value, however, individual heating systems would lead to adverse health effects, especially in infants and children population.
Identifying barriers and enablers to participation in infection surveillance in Australian residential aged care facilities
Authors: Watson Eliza , Dowson Leslie , Dunt David , Thursky Karin , Worth Leon J. , Sluggett Janet K. , Appathurai Amanda , Bennett Noleen ,   for the National Infection Surveillance Program in Aged Care (NISPAC) Advisory Group
Published: November 2023

AbstractBackgroundInfection surveillance is a vital part of infection prevention and control activities for the aged care sector. In Australia there are two currently available infection and antimicrobial use surveillance programs for residential aged care facilities. These programs are not mandated nor available to all facilities. Development of a new surveillance program will provide standardised surveillance for all facilities in Australia.MethodsThis study aimed to assess barriers and enablers to participation in the two existing infection and antimicrobial use surveillance programs, to improve development and implementation of a new program. A mixed-methods study was performed. Aged Care staff involved in infection surveillance were invited to participate in focus groups and complete an online survey comprising 17 items. Interviews were transcribed and analysed using the COM-B framework.ResultsTwenty-nine staff took part in the focus groups and two hundred took part in the survey. Barriers to participating in aged care infection surveillance programs were the time needed to collect and enter data, competing priority tasks, limited understanding of surveillance from some staff, difficulty engaging clinicians, and staff fatigue after the COVID-19 pandemic. Factors that enabled participation were previous experience with surveillance, and sharing responsibilities, educational materials and using data for benchmarking and to improve practice.ConclusionStreamlined and simple data entry methods will reduce the burden of surveillance on staff. Education materials will be vital for the implementation of a new surveillance program. These materials must be tailored to different aged care workers, specific to the aged care context and provide guidance on how to use surveillance results to improve practice.
Exploring recent patterns of migration of doctors to the United Kingdom: a mixed-methods study
Authors: Brennan N. , Langdon N. , Gale T. , Humphries N. , Knapton A. , Bryce M. 
Published: November 2023

Abstract
Introduction
A shortage of doctors is currently one of the biggest challenges faced by the healthcare workforce in the United Kingdom (UK). While plans are in place to increase the number of medical school places, in the short-term this gap will need to continue to be filled by the international recruitment of doctors. The aim of this study is to identify key factors that explain the patterns of migration of doctors to the UK, in order to aid the development of policies to recruit and retain a sustainable workforce.

Methods
We analysed General Medical Council (GMC) secondary data on the patterns of migration of internationally trained doctors (2009–2019). Qualitative interviews were conducted with 17 stakeholders by videoconferencing which were audio-recorded, transcribed and thematically analysed using NVivo.

Results
In 2019, 34.5% of UK doctors were trained internationally mainly in India, Pakistan, Italy, Nigeria, Greece, Romania and Egypt. Most new registrations by internationally trained doctors from 2009–2019 did not have a specialty at the time of initial registration (96.2% in 2019). Only a relatively small number of these doctors go on to gain specialist or GP registration (11.6% within 5 years and 27.2% within 10 years of registration). The stakeholder interviews highlighted training opportunities and career progression as the main drivers of migration. The barriers internationally trained doctors face regarding specialty training included differences between UK and destination health systems, systematic bias, bureaucracy and selection processes not being accessible.

Conclusion
This study makes a contribution to the literature by identifying recent patterns in the migration of doctors to the UK. The UK’s dependence on internationally trained doctors has important global implications as source countries are losing skilled health workers which is undermining their health systems. In keeping with the WHO Global Code on the International Recruitment of Healthcare Personnel, policymakers need to consider how to reduce the UK’s reliance on internationally trained doctors, particularly from countries on the safeguard list whilst continuing the drive to increase medical school places. Additional support is required for internationally trained doctors, to ensure that they get on the training programmes they seek, enabling their career progression.
Human airway tuft cells influence the mucociliary clearance through cholinergic signalling
Authors: Hollenhorst Monika I. , Husnik Thomas , Zylka Malin , Duda Nele , Flockerzi Veit , Tschernig Thomas , Maxeiner Stephan , Krasteva-Christ Gabriela 
Published: November 2023

Abstract
Background
Airway tuft cells, formerly called brush cells have long been described only morphologically in human airways. More recent RNAseq studies described a chemosensory cell population, which includes tuft cells, by a distinct gene transcription signature. Yet, until which level in the tracheobronchial tree in native human airway epithelium tuft cells occur and if they function as regulators of innate immunity, e.g., by regulating mucociliary clearance, remained largely elusive.

Methods
We performed immunohistochemistry, RT-PCR and immunoblotting analyses for various tuft cell markers to confirm the presence of this cell type in human tracheal samples. Immunohistochemistry was conducted to study the distribution of tuft cells along the intrapulmonary airways in humans. We assessed the influence of bitter substances and the taste transduction pathway on mucociliary clearance in mouse and human tracheal samples by measuring particle transport speed.

Results
Tuft cells identified by the expression of their well-established marker POU class 2 homeobox 3 (POU2F3) were present from the trachea to the bronchioles. We identified choline acetyltransferase in POU2F3 expressing cells as well as the transient receptor potential melastatin 5 (TRPM5) channel in a small population of tracheal epithelial cells with morphological appearance of tuft cells. Application of bitter substances, such as denatonium, led to an increase in mucociliary clearance in human tracheal preparations. This was dependent on activation of the TRPM5 channel and involved cholinergic and nitric oxide signalling, indicating a functional role for human tuft cells in the regulation of mucociliary clearance.

Conclusions
We were able to detect tuft cells in the tracheobronchial tree down to the level of the bronchioles. Moreover, taste transduction and cholinergic signalling occur in the same cells and regulate mucociliary clearance. Thus, tuft cells are potentially involved in the regulation of innate immunity in human airways.
Advanced glycation end products impair bone marrow mesenchymal stem cells osteogenesis in periodontitis with diabetes via FTO-mediated N6-methyladenosine modification of sclerostin
Authors: Zhou Jie , Zhu Yanlin , Ai Dongqing , Zhou Mengjiao , Li Han , Li Guangyue , Zheng Leilei , Song Jinlin 
Published: November 2023

Abstract
Background
Diabetes mellitus (DM) and periodontitis are two prevalent diseases with mutual influence. Accumulation of advanced glycation end products (AGEs) in hyperglycemia may impair cell function and worsen periodontal conditions. N6-methyladenosine (m6A) is an important post-transcriptional modification in RNAs that regulates cell fate determinant and progression of diseases. However, whether m6A methylation participates in the process of periodontitis with diabetes is unclear. Thus, we aimed to investigate the effects of AGEs on bone marrow mesenchymal stem cells (BMSCs), elucidate the m6A modification mechanism in diabetes-associated periodontitis.

Methods
Periodontitis with diabetes were established by high-fat diet/streptozotocin injection and silk ligation. M6A modifications in alveolar bone were demonstrated by RNA immunoprecipitation sequence. BMSCs treated with AGEs, fat mass and obesity associated (FTO) protein knockdown and sclerostin (SOST) interference were evaluated by quantitative polymerase chain reaction, western blot, immunofluorescence, alkaline phosphatase and Alizarin red S staining.

Results
Diabetes damaged alveolar bone regeneration was validated in vivo. In vitro experiments showed AGEs inhibited BMSCs osteogenesis and influenced the FTO expression and m6A level in total RNA. FTO knockdown increased the m6A levels and reversed the AGE-induced inhibition of BMSCs differentiation. Mechanically, FTO regulated m6A modification on SOST transcripts, and AGEs affected the binding of FTO to SOST transcripts. FTO knockdown accelerated the degradation of SOST mRNA in presence of AGEs. Interference with SOST expression in AGE-treated BMSCs partially rescued the osteogenesis by activating Wnt Signaling.

Conclusions
AGEs impaired BMSCs osteogenesis by regulating SOST in an m6A-dependent manner, presenting a promising method for bone regeneration treatment of periodontitis with diabetes.
Deep neural network based tissue deconvolution of circulating tumor cell RNA
Authors: Yan Fengyao , Jiang Limin , Ye Fei , Ping Jie , Bowley Tetiana Y. , Ness Scott A. , Li Chung-I , Marchetti Dario , Tang Jijun , Guo Yan 
Published: November 2023

AbstractPrior research has shown that the deconvolution of cell-free RNA can uncover the tissue origin. The conventional deconvolution approaches rely on constructing a reference tissue-specific gene panel, which cannot capture the inherent variation present in actual data. To address this, we have developed a novel method that utilizes a neural network framework to leverage the entire training dataset. Our approach involved training a model that incorporated 15 distinct tissue types. Through one semi-independent and two complete independent validations, including deconvolution using a semi in silico dataset, deconvolution with a custom normal tissue mixture RNA-seq data, and deconvolution of longitudinal circulating tumor cell RNA-seq (ctcRNA) data from a cancer patient with metastatic tumors, we demonstrate the efficacy and advantages of the deep-learning approach which were exerted by effectively capturing the inherent variability present in the dataset, thus leading to enhanced accuracy. Sensitivity analyses reveal that neural network models are less susceptible to the presence of missing data, making them more suitable for real-world applications. Moreover, by leveraging the concept of organotropism, we applied our approach to trace the migration of circulating tumor cell-derived RNA (ctcRNA) in a cancer patient with metastatic tumors, thereby highlighting the potential clinical significance of early detection of cancer metastasis.