bluuebunny/crossref_metadata_2025_split huggingface dataset:
Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI data
Authors: Powell Stephen J. , Withey Stephanie B. , Sun Yu , Grist James T. , Novak Jan , MacPherson Lesley , Abernethy Laurence , Pizer Barry , Grundy Richard , Morgan Paul S. , Jaspan Tim , Bailey Simon , Mitra Dipayan , Auer Dorothee P. , Avula Shivaram , Arvanitis Theodoros N. , Peet Andrew 
Published: February 2023

Objective:
Investigate the performance of qualitative review (QR) for assessing dynamic susceptibility contrast (DSC-) MRI data quality in paediatric normal brain and develop an automated alternative to QR.

Methods:
1027 signal–time courses were assessed by Reviewer 1 using QR. 243 were additionally assessed by Reviewer 2 and % disagreements and Cohen’s κ (κ) were calculated. The signal drop-to-noise ratio (SDNR), root mean square error (RMSE), full width half maximum (FWHM) and percentage signal recovery (PSR) were calculated for the 1027 signal–time courses. Data quality thresholds for each measure were determined using QR results. The measures and QR results trained machine learning classifiers. Sensitivity, specificity, precision, classification error and area under the curve from a receiver operating characteristic curve were calculated for each threshold and classifier.

Results:
Comparing reviewers gave 7% disagreements and κ = 0.83. Data quality thresholds of: 7.6 for SDNR; 0.019 for RMSE; 3 s and 19 s for FWHM; and 42.9 and 130.4% for PSR were produced. SDNR gave the best sensitivity, specificity, precision, classification error and area under the curve values of 0.86, 0.86, 0.93, 14.2% and 0.83. Random forest was the best machine learning classifier, giving sensitivity, specificity, precision, classification error and area under the curve of 0.94, 0.83, 0.93, 9.3% and 0.89.

Conclusion:
The reviewers showed good agreement. Machine learning classifiers trained on signal–time course measures and QR can assess quality. Combining multiple measures reduces misclassification.

Advances in knowledge:
A new automated quality control method was developed, which trained machine learning classifiers using QR results.
Deep learning-based prediction of rib fracture presence in frontal radiographs of children under two years of age: a proof-of-concept study
Authors: Ghosh Adarsh , Bose Saurav , Patton Daniella , Kumar Ishaan , Khalkhali Vahid , Henry M. Katherine , Ouyang Minhui , Huang Hao , Vossough Arastoo , Sze Raymond W , Sotardi Susan , Francavilla Michael 
Published: February 2023

Objective:
In this proof-of-concept study, we aimed to develop deep-learning-based classifiers to identify rib fractures on frontal chest radiographs in children under 2 years of age.

Methods:
This retrospective study included 1311 frontal chest radiographs (radiographs with rib fractures, n = 653) from 1231 unique patients (median age: 4 m). Patients with more than one radiograph were included only in the training set. A binary classification was performed to identify the presence or absence of rib fractures using transfer learning and Resnet-50 and DenseNet-121 architectures. The area under the receiver operating characteristic curve (AUC-ROC) was reported. Gradient-weighted class activation mapping was used to highlight the region most relevant to the deep learning models’ predictions.

Results:
On the validation set, the ResNet-50 and DenseNet-121 models obtained an AUC-ROC of 0.89 and 0.88, respectively. On the test set, the ResNet-50 model demonstrated an AUC-ROC of 0.84 with a sensitivity of 81% and specificity of 70%. The DenseNet-50 model obtained an AUC of 0.82 with 72% sensitivity and 79% specificity.

Conclusion:
In this proof-of-concept study, a deep learning-based approach enabled the automatic detection of rib fractures in chest radiographs of young children with performances comparable to pediatric radiologists. Further evaluation of this approach on large multi-institutional data sets is needed to assess the generalizability of our results.

Advances in knowledge:
In this proof-of-concept study, a deep learning-based approach performed well in identifying chest radiographs with rib fractures. These findings provide further impetus to develop deep learning algorithms for identifying rib fractures in children, especially those with suspected physical abuse or non-accidental trauma.
Radiomic analysis in contrast-enhanced mammography using a multivendor data set: accuracy of models according to segmentation techniques
Authors: Savaridas Sarah L , Agrawal Utkarsh , Fagbamigbe Adeniyi Francis , Tennant Sarah L , McCowan Colin 
Published: February 2023

Objective:
Radiomic analysis of contrast-enhanced mammographic (CEM) images is an emerging field. The aims of this study were to build classification models to distinguish benign and malignant lesions using a multivendor data set and compare segmentation techniques.

Methods:
CEM images were acquired using Hologic and GE equipment. Textural features were extracted using MaZda analysis software. Lesions were segmented with freehand region of interest (ROI) and ellipsoid_ROI. Benign/Malignant classification models were built using extracted textural features. Subset analysis according to ROI and mammographic view was performed.

Results:
269 enhancing mass lesions (238 patients) were included. Oversampling mitigated benign/malignant imbalance. Diagnostic accuracy of all models was high (&gt;0.9). Segmentation with ellipsoid_ROI produced a more accurate model than with FH_ROI, accuracy:0.947 vs 0.914, AUC:0.974 vs 0.86, p &lt; 0.05. Regarding mammographic view all models were highly accurate (0.947–0.955) with no difference in AUC (0.985–0.987). The CC-view model had the greatest specificity:0.962, the MLO-view and CC + MLO view models had higher sensitivity:0.954, p &lt; 0.05.

Conclusions:
Accurate radiomics models can be built using a real-life multivendor data set segmentation with ellipsoid-ROI produces the highest level of accuracy. The marginal increase in accuracy using both mammographic views, may not justify the increased workload.

Advances in knowledge:
Radiomic modelling can be successfully applied to a multivendor CEM data set, ellipsoid_ROI is an accurate segmentation technique and it may be unnecessary to segment both CEM views. These results will help further developments aimed at producing a widely accessible radiomics model for clinical use.
Effect of ACTH4-10Pro8-Gly9-Pro10 on anti-inflammatory cytokine (IL-4, IL-10, IL-13) expression in acute spinal cord injury models (male Sprague Dawley rats)
Authors: Asadullah Asadullah , Bajamal Abdul Hafid , Parenrengi Muhammad Arifin , Turchan Agus , Utomo Budi , Sudiana I Ketut , Subagio Eko Agus 
Published: February 2023

Background: Spinal cord injury (SCI) is a damage to the spinal cord caused mainly by trauma resulting in major motor, sensory and autonomic dysfunctions. Its final neurological outcome is determined by both primary and secondary injury processes. A key component of secondary injury mechanisms after initial trauma is neuroinflammation. A neuroprotective compound, ACTH4-10Pro8-Gly9-Pro10 (ACTH4-10) also known as semax, has shown neuroprotective and anti-inflammatory properties. ACTH4-10 has also been actively used in the treatment of brain ischemia without serious complication reported. Here, we analyzed the effects of ACTH4-10 at regulating the inflammatory cascade in SCI by looking at anti-inflammatory cytokine (IL-4, IL-10 and IL-13) levels after acute SCI. Method: We carried out laminectomies in male Sprague Dawley rats at the second thoracic vertebrae. After laminectomy, we exposed the myelum and created mild SCI models with 20-g, and severe SCI with 35-g aneurysm clips. ACTH4-10 was administered intranasally to the treatment group and 0.9% NaCl to the control group (placebo). Both groups were kept alive and terminated at 3 and 6 hours. The tissue sample preparations were fixed in formalin and examined for immunohistochemistry. Quantitative measurement of the cytokines was done in the posterior horn area with specific associated anti-monoclonal antibodies. Results: Rats with mild SCI that were given ACTH4-10 showed greater anti-inflammatory levels at 3 hours post-compression but only IL-10 and IL-13 were elevated significantly at 6 hours. Rats with severe compression in ACTH4-10 group showed greater levels of IL-10, IL-13 at 3 hours and IL-4, IL-10 at 6 hours compared with the placebo group. Conclusions: Administration of ACTH4-10Pro8-Gly9-Pro10 intranasal can increase anti-inflammatory cytokine expression in Sprague Dawley rat models with mild and severe SCI. Expression of anti-inflammatory cytokines was greater in mild compression and 3-hour termination. Further research is needed to determine the optimal dose and clinical outcome in vivo.
Development and implementation of self-supportive intervention on post-traumatic stress symptoms and quality of life among battered wives of Madhya Pradesh, India: A pilot study
Authors: Joseph Joji , Canlas Rodel P. 
Published: February 2023

Background: In India, intimate partner violence against women is a major problem that leads to terrible physical, sexual, emotional, psychological and economic consequences. In 55-92% of women who have a history of being abused wives, high levels of symptoms of post-traumatic stress disorder have been discovered. Therefore, the quality of life is significantly low among them regardless of regions and countries. The purpose of the current study was to create and evaluate the effectiveness of a self-supportive intervention on the quality of life and post-traumatic stress symptoms among abused wives in Madhya Pradesh, India. Methods: The post-traumatic Symptoms Scale Interview version for DSM-5 (PSS-I-5) and WHO Quality of Life-BREF (WHOQOL) were used in this study as assessment tools. The Need assessment results showed that 51% of battered wives met the criteria of PTSD symptoms from moderate to severe and 83% experienced low quality of life. This study utilized a mixed research method and was executed in three phases, based on the main three elements of Conklin’s (1997) program development model, namely (1) planning; (2) design and implementation; and (3) evaluation of the newly created Self-Supportive Intervention program (SSI). The SSI program consisted of six modules, focused on addressing the issues that emerged through qualitative data and need assessments. Results: Excellent inter-rater reliability (.845) was found in the expert evaluation's findings, which supported the recommendation to use the SSI as it is with minor modification. The SSI was further pilot-tested for its feasibility with 10 battered wives and validated through the paired sample t-test, which showed a substantial decrease in post-traumatic stress symptoms and enhanced quality of life at 0.05 level of significance. Conclusion: This is an indication that the SSI program can be recommended as a psychological intervention in eliminating the PTSD symptoms and improving the quality of life.
Investigating immersion and migration decisions for agent-based modelling: A cautionary tale
Authors: Bijak Jakub , Modirrousta-Galian Ariana , Higham Philip A , Prike Toby , Hinsch Martin , Nurse Sarah 
Published: February 2023

Background: Agent-based modelling provides an appealing methodological choice for simulating human behaviour and decisions. The currently-dominant approaches based on static transition rates or unverified assumptions are restrictive, and could be enhanced with insights from cognitive experiments on actual decision making. Here, one common concern is that standard surveys or experiments may lack ecological validity, limiting the extent to which research findings can be generalised to real-life settings. For complex, highly emotive decision-making scenarios, such as those related to migration, the typically-used short, methodical survey questions may not appropriately map onto complex real-world decisions of interest. Immersive contexts may offer more accurate representations of reality, potentially enhancing the usefulness of experimental information in multi-disciplinary modelling endeavours. Methods: This pre-registered study of migration decisions, aimed at informing a multi-disciplinary construction of an agent-based model of migration, presents a choice-based interactive fiction game in which players make migration decisions to advance through a story. Participants (N = 1000 Prolific users) were randomly assigned to one of four experimental conditions, three involving different renditions of the game attempting to create immersion, with the last condition presenting the decisions in standard survey format. Results: Although addressing the lack of ecological validity in survey data is important for improving agent-based modelling methodology, the experimental design used to tackle this issue, while responding directly to modelling needs, proved too complex. The created experimental conditions ended up too distinct from each other, involving stimuli that differed in quantity and content. This introduced several unintended and uncontrolled confounds, making it impossible to meaningfully interpret the results of this experiment on its own. Our results act as a cautionary tale for agent-based modellers, highlighting that the modelling needs should not override the principles of experimental design, and provide motivation for more rigorous research on this topic.
Acknowledging the gap: a systematic review of micronutrient supplementation in infants under six months of age
Authors: Stelle Isabella , Venkatesan Sruthi , Edmond Karen , Moore Sophie E. 
Published: February 2023

Background: Micronutrient deficiencies remain common worldwide, but the consequences to growth and development in early infancy (under six months of age) are not fully understood. We present a systematic review of micronutrient interventions in term infants under six months of age, with a specific focus on iron supplementation. Methods: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE (Ovid) and Embase (Ovid) from January 1980 through December 2019. Interventions included iron or multiple micronutrients (MMNs). Results: Of 11,109 records identified, 33 publications from 24 trials were included (19 iron and five MMN supplementation trials). All but one trial (evaluating only morbidity and mortality) evaluated the effect of supplementation on biochemical outcomes, ten reported on growth, 15 on morbidity and/or mortality and six on neuro-behavioural development. Low- and middle- income countries made up 88% (22/25) of the total trial locations. Meta-analysis was not possible due to extensive heterogeneity in both exposure and outcome measures. However, these trials indicated that infants less than six months of age benefit biochemically from early supplementation with iron, but the effect of additional nutrients or MMNs, along with the impacts on growth, morbidity and/or mortality, and neuro-behavioural outcomes remain unclear. Conclusions: Infants less than six months of age appear to benefit biochemically from micronutrient supplementation. However, well-powered randomised controlled trials are required to determine whether routine supplementation with iron or MMNs containing iron should commence before six months of life in exclusively breast-fed infants in low-resource settings.
Eating disorders in children and adolescents with type 1 diabetes mellitus
Authors: Piekarska Małgorzata , Kasperski Radosław , Pikulicka Agata , Pacek Katarzyna , Jedlina Klaudia , Szulc Izabela , Swacha Weronika , Aghadi Artur , Janczewska Martyna , Kamińska Izabela 
Published: February 2023

Introduction and purpose: Eating disorders are an ever-growing problem, both in the general population and also in the population of pediatric patients with type 1 diabetes mellitus. However, for this specific group of patients, there is a twofold higher risk of developing eating disorders, the occurrence of additional distinct forms of these disorders, the so-called diabulimia - consisting of deliberate restriction of insulin delivery or skipping insulin doses, which can consequently lead to poor metabolic control of diabetes , and even threaten the lives of patients. The purpose of this work is to present the current state of knowledge on the diagnosis, prevention and treatment of eating disorders in children and adolescents with type 1 diabetes.
The state of knowladge: The background of the onset of eating disorders in pediatric patients with type 1 diabetes mellitus includes the lowered self-esteem accompanying early adolescence, stress, excessive focus on external appearance, as well as difficulties in accepting the diagnosis and a rather strict dietary regime. Since the treatment of eating disorders is long and difficult, the most important goal becomes effective prevention and rapid selection of patients with a predisposition to develop such disorders. The first screening tools - SEEDS, m-SCOFF and DEPS-R questionnaires - have already been developed, and the effectiveness of therapy sessions aimed at this group of patients is also being studied.
Summary: Therapy of eating disorders in patients with type 1 diabetes should be targeted at this specific patient population. It requires cooperation and communication of teams dealing separately with these diseases, education of the staff and their thorough knowledge of the background of the problem, prompt action and, above all, the development of specific guidelines for management, methods of prevention and the earliest possible start of treatment, which will also include the patient's caregivers.
impact of primary care physicians’ education about easy skin lesion diagnosis algorithm on skin cancers screening effects
Authors: Matyka Kamila , Uniłowska Izabela , Karwańska Aleksandra , Kojder Ewa , Dolenha Arsen , Kulbat Aleksandra , Dovzhuk Yuliia , Ochał Justyna , Ferschke Anna , Matyszewska Aleksandra 
Published: February 2023

Introduction and purpose:
Number of new cases of skin cancers grows every year. Melanoma malignum is responsible for approximately 75 percent of death from skin cancer. General practitioners are often first medical professionals who see patients with suspicious skin lesions. Early diagnosis can benefit in improving survival rates. Dermoscopy is a useful tool for dermatological diagnostic purposes not only for dermatologists, but also for Primary Care Physicians.This review aims to analyze the role of easy 3-step Triage Amalgamated Dermoscopy Algorithm performed by family medicine physicians in skin cancers detection.
Material and methods:
We searched PubMed database in order to collect relevant studies about skin cancers diagnoses by family medicine physicians using dermoscopy algorithms.
Results:
An analysis of multiple studies shows that short Triage Amalgamated Dermoscopy Algorithm training taken by primary care physicians resulted in better diagnosis accuracy of skin cancer identification. After education about 3 benign skin lesion patterns and 7 signs of potential malignancy general practitioners reported more confidence in the diagnostic process and both sensitivity and specificity of examination increased post-training.
Conclusion:
Teaching Primary Care Physicians how to diagnose patients with suspicious skin lesions using Triage Amalgamated Dermoscopy Algorithm may have a beneficial effect on increasing the number of early-diagnosed skin cancers which may result in improving survival rates.
The Motherhood Wage Penalty and Female Entrepreneurship
Authors: Yang Tiantian , Kacperczyk Aleksandra (Olenka) , Naldi Lucia 
Published: February 2023

The need to resolve work–family conflict has long been considered a central motive for women’s pursuit of entrepreneurship. In this paper, we propose and empirically uncover a novel mechanism driving female entrepreneurship: reduced earnings opportunities in wage employment due to motherhood status. Combining insights from career mobility research and the motherhood penalty literature, we propose that women who become mothers will disproportionately launch a new business to reduce the motherhood penalty they would otherwise incur in wage work due to employer discrimination. We further predict that this tendency to launch a new venture will be more pronounced for women who occupy high-paying or managerial positions, given the higher opportunity cost of staying in wage work and the higher potential payoffs from entrepreneurship that accrue mothers occupying such positions. Using matched employer–employee data from Sweden that distinguish new-venture founding from self-employment, we find support for our arguments. Overall, this study sheds light on the two antecedents of female entrepreneurship and contributes to a more thorough understanding of what motivates women to pursue irregular and atypical careers, such as entrepreneurship. Funding: This work was supported by the Ewing Marion Kauffman Foundation (Ewing Marion Kauffman Junior Faculty Fellowship) and the Wharton Dean’s Research Fund. Supplemental Material: The e-companion is available at https://doi.org/10.1287/orsc.2023.1657 .
Desafíos en el cuidado de personas con Covid-19 en posición prono: apoyo al estudio internacional PRONEtect
Authors: Campos Heidi Hevia , Vásquez Andrea Icaza , Mazzachiodi Lily Ríos , de Gouveia Santos Vera Lucia Conceição 
Published: February 2023

Sinopsis: El siguiente editorial presenta los resultados de una encuesta a los líderes de las 13 asociaciones de la Confederación Multidisciplinar Latinoamericana de Heridas, Estomas e Incontinencias (COMLHEI). La encuesta buscó determinar, de manera general, la situación de los pacientes con Covid-19 en posición prono (PP) con desarrollo de lesiones por presión (LPP). Los resultados indican que, en América latina, las LPP en pacientes en PP son frecuentes. Se evidenciaron deficiencias en estudios epidemiológicos y de elementos de protección, prevención y educación, además de brechas entre los diferentes países e instituciones en cuanto a la disponibilidad de personal para poder cumplir con las recomendaciones de posicionamiento de los pacientes. Las autoras sugieren tener en cuenta los resultados del estudio internacional PRONEtect para identificar, revisar y evaluar las pautas internacionales de pronación y cuidado de la piel, y hacer un inventario de los equipos y recursos de capacitación de uso común.
Childhood Sexual Abuse, Intellectual Disability, and Subsequent Physical and Mental Health Disorders: A Matched Cohort Study
Authors: Daigneault Isabelle , Paquette Geneviève , De La Sablonnière-Griffin Mireille , Dion Jacinthe 
Published: February 2023

AbstractThis study assesses whether children with intellectual disability (ID) are more at risk of sexual abuse and whether they have similar consultation rates for physical and mental health disorders than children without ID. The matched-cohort design study uses administrative databases of children who had a sexual abuse report corroborated by a child protection agency and a matched group from the general population. Children with ID were 3.5 times more likely to have a corroborated sexual abuse report when compared to their peers without ID and a higher post-abuse number of medical consultations for physical and mental health disorders. Children with ID are more at risk of sexual abuse and physical and mental health disorders and may also be more vulnerable to the effects of abuse.