bluuebunny/crossref_metadata_2025_split huggingface dataset:
The treatment of a femoral shaft fracture in patients with a previous post-traumatic femoral deformity using a Clamshell osteotomy
Authors: Zhang Congming , Wang Chaofeng , Duan Ning , Zhou Dawei , Ma Teng 
Published: March 2023

AimsThe aim of this study was to assess the safety and clinical outcome of patients with a femoral shaft fracture and a previous complex post-traumatic femoral malunion who were treated with a clamshell osteotomy and fixation with an intramedullary nail (IMN).MethodsThe study involved a retrospective analysis of 23 patients. All had a previous, operatively managed, femoral shaft fracture with malunion due to hardware failure. They were treated with a clamshell osteotomy between May 2015 and March 2020. The mean age was 42.6 years (26 to 62) and 15 (65.2%) were male. The mean follow-up was 2.3 years (1 to 5). Details from their medical records were analyzed. Clinical outcomes were assessed using the quality of correction of the deformity, functional recovery, the healing time of the fracture, and complications.ResultsThe mean length of time between the initial injury and surgery was 4.5 years (3 to 10). The mean operating time was 2.8 hours (2.05 to 4.4)), and the mean blood loss was 850 ml (650 to 1,020). Complications occurred in five patients (21.7%): two with wound necrosis, and three with deep vein thrombosis. The mean coronal deformity was significantly corrected from 17.78° (SD 4.62°) preoperatively to 1.35° (SD 1.72°) postoperatively (p < 0.001), and the mean sagittal deformity was significantly corrected from 20.65° (SD 5.88°) preoperatively to 1.61° (SD 1.95°; p < 0.001) postoperatively. The mean leg length discrepancy was significantly corrected from 3.57 cm (SD 1.27) preoperatively to 1.13 cm (SD 0.76) postoperatively (p < 0.001). All fractures healed at a mean of seven months (4 to 12) postoperatively. The mean Lower Extremity Functional Scale score improved significantly from 45.4 (SD 9.1) preoperatively to 66.2 (SD 5.5) postoperatively (p < 0.001). Partial cortical nonunion in the deformed segment occurred in eight patients (34.8%) and healed at a mean of 2.4 years (2 to 3) postoperatively.ConclusionA clamshell osteotomy combined with IMN fixation in the treatment of patients with a femoral shaft fracture and a previous post-traumatic femoral malunion achieved excellent outcomes. Partial cortical nonunions in the deformed segment also healed satisfactorily.Cite this article: Bone Joint J 2023;105-B(4):449–454.
Mid-high-frequency error suppression of small optical aspheric molds
Authors: Zhang Jiarong , Wang Han , Zhuo Shaomu , Kuang Jiaqi , Wu Yuchang , Zhang Jiahang , Zhu Xiangyou , Ma Shuaijie , Yao Honghui 
Published: March 2023

To suppress the mid-high-frequency error of small optical tungsten carbide aspheric molds, it is proposed to quickly select the critical process parameters by simulating the residual error after convolution of the tool influence function (TIF). After polishing for 10.47 min by the TIF, two simulation optimizations, RMS and Ra, converge to 9.3 and 5.347 nm, respectively. Their convergence rates are improved by 40% and 7.9%, respectively, compared to ordinary TIF. Then, a faster and more high-quality multi-tool combination smoothing suppression method is proposed, and the corresponding polishing tools are designed. Finally, the global Ra of the aspheric surface converges from 5.9 to 4.5 nm after smoothing for 5.5 min with a disc-shaped polishing tool with a fine microstructure and maintains an excellent low-frequency error (PV 0.0781 µm).
Registered report: Survey on attitudes and experiences regarding preregistration in psychological research
Authors: Spitzer Lisa , Mueller Stefanie 
Published: March 2023

BackgroundPreregistration, the open science practice of specifying and registering details of a planned study prior to knowing the data, increases the transparency and reproducibility of research. Large-scale replication attempts for psychological results yielded shockingly low success rates and contributed to an increasing demand for open science practices among psychologists. However, preregistering one’s studies is still not the norm in the field. Here, we conducted a study to explore possible reasons for this discrepancy.MethodsIn a mixed-methods approach, we conducted an online survey assessing attitudes, motivations, and perceived obstacles with respect to preregistration. Respondents (N= 289) were psychological researchers that were recruited through their publications on Web of Science, PubMed, PSYNDEX, and PsycInfo, and preregistrations on OSF Registries. Based on the theory of planned behavior, we predicted that positive attitudes (moderated by the perceived importance of preregistration) as well as a favorable subjective norm and higher perceived behavioral control positively influence researchers’ intention to preregister (directional hypothesis 1). Furthermore, we expected an influence of research experience on attitudes and perceived motivations and obstacles regarding preregistration (non-directional hypothesis 2). We analyzed these hypotheses with multiple regression models and included preregistration experience as a control variable.ResultsResearchers’ attitudes, subjective norms, perceived behavioral control, and the perceived importance of preregistration significantly predicted researchers’ intention to use preregistration in the future (see hypothesis 1). Research experience influenced both researchers’ attitudes and their perception of motivations to preregister, but not the perception of obstacles (see hypothesis 2). Descriptive reports on researchers’ attitudes, motivations and obstacles regarding preregistration are provided.DiscussionMany researchers had already preregistered and had a rather positive attitude toward preregistration. Nevertheless, several obstacles were identified that may be addressed to improve and foster preregistration.
Characteristics of inflammatory response and repair after experimental blast lung injury in rats
Authors: Hamacher Jürg , Hadizamani Yalda , Huwer Hanno , Moehrlen Ueli , Bally Lia , Stammberger Uz , Wendel Albrecht , Lucas Rudolf 
Published: March 2023

Background and objectives
Blast-induced lung injury is associated with inflammatory, which are characterised by disruption of the alveolar-capillary barrier, haemorrhage, pulmonary infiltrateration causing oedema formation, pro-inflammatory cytokine and chemokine release, and anti-inflammatory counter-regulation. The objective of the current study was to define sequence of such alterations in with establishing blast-induced lung injury in rats using an advanced blast generator.

Methods
Rats underwent a standardized blast wave trauma and were euthanised at defined time points. Non-traumatised animals served as sham controls. Obtained samples from bronchoalveolar lavage fluid (BALF) at each time-point were assessed for histology, leukocyte infiltration and cytokine/chemokine profile.

Results
After blast lung injury, significant haemorrhage and neutrophil infiltration were observed. Similarly, protein accumulation, lactate dehydrogenase activity (LDH), alveolar eicosanoid release, matrix metalloproteinase (MMP)-2 and -9, pro-Inflammatory cytokines, including tumour necrosis factor (TNF) and interleukin (IL) -6 raised up. While declining in the level of anti-inflammatory cytokine IL-10 occurred. Ultimately, pulmonary oedema developed that increased to its maximum level within the first 1.5 h, then recovered within 24 h.

Conclusion
Using a stablished model, can facilitate the study of inflammatory response to blast lung injury. Following the blast injury, alteration in cytokine/chemokine profile and activity of cells in the alveolar space occurs, which eventuates in alveolar epithelial barrier dysfunction and oedema formation. Most of these parameters exhibit time-dependent return to their basal status that is an indication to resilience of lungs to blast-induced lung injury.
A single center experience of adjusting valve pressure ventriculoperitoneal shunts for the treatment of hydrocephalus in infants under 6 months old
Authors: Cattani Adriano , Schwarzer Franziska , Schwarzer Mario , Spyrantis Andrea , Marquardt Gerhard , Schubert-Bast Susanne , Seifert Volker , Freiman Thomas M. 
Published: March 2023

Introduction
Ventriculoperitoneal shunt (VPS) with adjustable differential pressure valves are commonly used to treat infants with hydrocephalus avoiding shunt related under- or overdrainage. The aim of this study was to analyse the influence of VPS adjustable differential pressure valve on the head circumference (HC) and ventricular size (VS) stabilization in infants with post intraventricular haemorrhage, acquired and congenital hydrocephali.

Methods
Forty-three hydrocephalic infants under 6 months old were prospectively included between 2014 and 2018. All patients were treated using a VPS with adjustable differential pressure valve. HC and transfontanelle ultrasonographic VS measurements were regularly performed and pressure valve modifications were done aiming HC and VS percentiles between the 25th and 75th. The patients were divided into two groups: infants with hydrocephalus due to an intraventricular haemorrhage (IVH-H), and infants with hydrocephalus due to other aetiologies (OAE-H).

Results
The mean of pressure valve modification was 3.7 per patient in the IVH-H group, versus 2.95 in the OAE-H group. The median of last pressure valve value was higher at 8.5 cm H2O in the IVH-H group comparing to 5 cm H2O in the OAE-H group (p = 0.013).

Conclusion
Optimal VPS pressure valve values could be extremely difficult to settle in order to gain normalisation of the HC and VS in infants. However, after long term follow up (mean of 18 months) and several pressure valve modifications, this normalisation is possible and shows that infants with IVH-H need a higher pressure valve value comparing to infants with OAE-H.
Network pharmacology predicts combinational effect of novel herbal pair consist of Ephedrae herba and Coicis semen on adipogenesis in 3T3-L1 cells
Authors: Lim Dong-Woo , Yu Ga-Ram , Kim Jai-Eun , Park Won-Hwan 
Published: March 2023

Background
Herbal combinations are regarded as basic strategy in oriental medicine with various purposes. Ephedrae herba (EH) and Coicis semen (CS) are two herbal medicines used to treat obesity in many herbal prescriptions, yet the effect and significance of this herbal pair have not been evaluated.

Purpose
This study is to elucidate the effect of a novel herbal pair, EH-CS, on obesity and identify the key synergistic mechanism underlying it.

Methods
We investigated the network of herbs comprising the anti-obesity herbal prescriptions. Using the tools of network pharmacology, we investigated the compound-target interactions of EH and CS in combination to predict their effects in combination. Five EH-CS samples with different EH to CS ratios were prepared to investigate their efficacies in adipocytes.

Results
1-mode network analysis of herbs in prescriptions based on literature review revealed the importance of EH-CS in anti-obesity prescriptions. The herbal combination comprised of equivalent weights (1:1) of EH and CS most potently reduced mature adipocyte adiposity, although several markers of adipogenesis and lipid synthesis were more suppressed by pure EH. PTGS2 (COX-2 gene) expression, a common target of EH and CS as deduced by compound-target network analysis, was affected by EH-CS extract treatments. However, EH at high concentration (25 μg/ml) notably increased PTGS2 expression without adversely affecting cell viability. However, EH-CS combination of the same concentration markedly decreased PTGS2 gene expression.

Conclusion
These results show that the compounds in CS and EH act in concert to enhance the pharmacological effect of EH, but control unexpected effects of EH treatment.
Factors impacting the pre-analytical quality of blood cultures—Analysis at a tertiary medical center
Authors: Romann Lucas , Werlen Laura , Rommers Nikki , Hermann Anja , Gisler Isabelle , Bassetti Stefano , Bingisser Roland , Siegemund Martin , Roloff Tim , Weisser Maja , Muigg Veronika , Hinic Vladimira , Osthoff Michael , Franzeck Fabian C. , Egli Adrian 
Published: March 2023

Background
Blood cultures (BC) are critical for the diagnosis of bloodstream infections, pathogen identification, and resistance testing. Guidelines recommend a blood volume of 8–10 mL per bottle as lower volumes result in decreased sensitivity. We aimed to evaluate factors for non-adherence to recommended volumes and assess the effects on diagnostic performance.

Methods
From February to April 2020, we measured collected blood volumes by weighing all BC containers from inpatient samples at the University Hospital Basel. Information on BC volumes was merged with clinical and microbiological data, as well as nursing staff schedules. We analyzed factors associated with (i) BC sampling volume, (ii) reaching recommended volumes (≥8 mL), (iii) BC positivity, and (iv) time to positivity using linear and generalized linear mixed effect models.

Results
We evaluated a total of 4’118 BC bottles collected from 686 patients. A total of 1’495 (36.3%) of all bottles contained the recommended filling volume of ≥8 mL. Using a central venous and arterial catheter for drawing blood resulted in an increase of filling volume by 0.26 mL (95% CI 0.10, 0.41) and 0.50 mL (95% CI 0.31, 0.69) compared to peripheral venipuncture, respectively. Each additional nursing staff working at the time of blood drawing was associated with 6% higher odds of achieving the recommended filling volume. We found no significant correlation between the filling volume and the positivity rate.

Conclusion
Our results indicate critical pre-analytical quality markers linked to BC collection procedures to reach recommended collection volumes. No significant impact on the positivity rate was found.
Machine learning models trained on synthetic datasets of multiple sample sizes for the use of predicting blood pressure from clinical data in a national dataset
Authors: Arora Anmol , Arora Ananya 
Published: March 2023

Introduction
The potential for synthetic data to act as a replacement for real data in research has attracted attention in recent months due to the prospect of increasing access to data and overcoming data privacy concerns when sharing data. The field of generative artificial intelligence and synthetic data is still early in its development, with a research gap evidencing that synthetic data can adequately be used to train algorithms that can be used on real data. This study compares the performance of a series machine learning models trained on real data and synthetic data, based on the National Diet and Nutrition Survey (NDNS).

Methods
Features identified to be potentially of relevance by directed acyclic graphs were isolated from the NDNS dataset and used to construct synthetic datasets and impute missing data. Recursive feature elimination identified only four variables needed to predict mean arterial blood pressure: age, sex, weight and height. Bayesian generalised linear regression, random forest and neural network models were constructed based on these four variables to predict blood pressure. Models were trained on the real data training set (n = 2408), a synthetic data training set (n = 2408) and larger synthetic data training set (n = 4816) and a combination of the real and synthetic data training set (n = 4816). The same test set (n = 424) was used for each model.

Results
Synthetic datasets demonstrated a high degree of fidelity with the real dataset. There was no significant difference between the performance of models trained on real, synthetic or combined datasets. Mean average error across all models and all training data ranged from 8.12 To 8.33. This indicates that synthetic data was capable of training equally accurate machine learning models as real data.

Discussion
Further research is needed on a variety of datasets to confirm the utility of synthetic data to replace the use of potentially identifiable patient data. There is also further urgent research needed into evidencing that synthetic data can truly protect patient privacy against adversarial attempts to re-identify real individuals from the synthetic dataset.
Influence of different data-averaging methods on mean values of selected variables derived from preoperative cardiopulmonary exercise testing in patients scheduled for colorectal surgery
Authors: Franssen Ruud F. W. , Sanders Bart H. E. , Takken Tim , Vogelaar F. Jeroen , Janssen-Heijnen Maryska L. G. , Bongers Bart C. 
Published: March 2023

Introduction
Patients with a low cardiorespiratory fitness (CRF) undergoing colorectal cancer surgery have a high risk for postoperative complications. Cardiopulmonary exercise testing (CPET) to assess CRF is the gold standard for preoperative risk assessment. To aid interpretation of raw breath-by-breath data, different methods of data-averaging can be applied. This study aimed to investigate the influence of different data-averaging intervals on CPET variables used for preoperative risk assessment, as well as to evaluate whether different data-averaging intervals influence preoperative risk assessment.

Methods
A total of 21 preoperative CPETs were interpreted by two exercise physiologists using stationary time-based data-averaging intervals of 10, 20, and 30 seconds and rolling average intervals of 3 and 7 breaths. Mean values of CPET variables between different data averaging intervals were compared using repeated measures ANOVA. The variables of interest were oxygen uptake at peak exercise (VO2peak), oxygen uptake at the ventilatory anaerobic threshold (VO2VAT), oxygen uptake efficiency slope (OUES), the ventilatory equivalent for carbon dioxide at the ventilatory anaerobic threshold (VE/VCO2VAT), and the slope of the relationship between the minute ventilation and carbon dioxide production (VE/VCO2-slope).

Results
Between data-averaging intervals, no statistically significant differences were found in the mean values of CPET variables except for the ventilatory equivalent for carbon dioxide at the ventilatory anaerobic threshold (P = 0.001). No statistically significant differences were found in the proportion of patients classified as high or low risk regardless of the used data-averaging interval.

Conclusion
There appears to be no significant or clinically relevant influence of the evaluated data-averaging intervals on the mean values of CPET outcomes used for preoperative risk assessment. Clinicians may choose a data-averaging interval that is appropriate for optimal interpretation and data visualization of the preoperative CPET. Nevertheless, caution should be taken as the chosen data-averaging interval might lead to substantial within-patient variation for individual patients.

Clinical trial registration
Prospectively registered at ClinicalTrials.gov (NCT05353127).
The impact of the COVID-19 pandemic on the mental health of families dealing with attention-deficit hyperactivity disorder
Authors: Winfield Alexis , Sugar Carly , Fenesi Barbara 
Published: March 2023

Background
The COVID-19 pandemic uprooted regular routines forcing many children to learn from home, requiring many adults to work from home, and cutting families off from support outside the home. Public health restrictions associated with the pandemic caused widespread psychological distress including depression and anxiety, increased fear, panic, and stress. These trends are particularly concerning for families raising neuroatypical children such as those with Attention-Deficit Hyperactivity Disorder (ADHD), as these children are already more likely than their typically developing peers to experience comorbid mental health issues, and to experience greater distress when required to stay indoors. Families with children who have ADHD are also at greater risk for experiencing heightened familial stress due to the challenges associated with managing ADHD behavioural symptoms, greater parental discord and divorce, and greater financial difficulties compared to other families. The current study engaged families comprised of at least one child diagnosed with ADHD to elucidate 1) the unique ways that the COVID-19 pandemic affected their mental health and 2) the specific barriers these families faced to maintaining optimal mental wellbeing.

Methods and findings
A total of 33 participants (15 parent-child dyads) engaged in virtual interviews. Content analysis revealed that the most frequently identified mental health effects for families were increased child anxiety and disconnectedness, as well as deteriorating parental mental health. The most frequently identified barriers to maintaining optimal mental wellbeing were lack of routine, lack of social interaction and social supports, and uncertainty and fear.

Conclusions
Findings underscore areas of need during times of large-scale social isolation, specifically for families with children who have ADHD. This work contributes to a growing body of research aimed at creating safeguards to support mental wellbeing for vulnerable families during times of crisis.
Does the Functional Load Principle Predict How Important Phonemic Contrasts Are to Intelligibility Among ELF Users? A Partial Replication of Munro and Derwing (2006) From an ELF Perspective
Authors: O’Neal George , Latham Lance 
Published: March 2023

Abstract
The Functional Load (FL) principle predicts that high FL phonemic contrasts, such as /i:/ and /ɪ/, contribute more to the mutual intelligibility of pronunciation than low FL phonemic contrasts, such as /u:/ and /ʊ/. In order to assess whether the FL principle accurately predicts intelligibility under English as a Lingua Franca (ELF) conditions, this study partially replicated the first study to empirically support the FL principle: Munro and Derwing (2006). Chinese speakers of English recorded 24 sentences containing target words with high and low FL phoneme substitutions, and 171 Japanese university students listened to the sentences and transcribed the target words into standard orthography. The hypothesis of this study is that the target words with high FL phoneme substitutions will be less intelligible than the target words with low FL phoneme substitutions. The results showed that the target words with high FL phoneme substitutions were indeed lower in intelligibility than the target words with low FL phoneme substitutions, and furthermore cumulative high FL phoneme substitutions lower intelligibility even more. The results are consistent with Munro and Derwing’s (2006) finding that high FL phoneme substitutions lower comprehensibility more than low FL phoneme substitutions, and thus this study claims to have replicated one aspect of their study even under ELF conditions.