bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vitamin E-enriched medium cross-linked polyethylene in total knee arthroplasty (VIKEP): clinical outcome, oxidation profile, and wear analysis in comparison to standard polyethylene—study protocol for a randomized controlled trial
Authors: Maier Kristin , Selig Marius , Haddouche Andréa , Haunschild Martin , Hauschild Oliver , Khalili Iman , Kirschberg Julia , Lutter Christoph , Menges Michael , Mertl Patrice , Niemeier Andreas , Rubens-Duval Brice , Mittelmeier Wolfram 
Published: January 2024

Abstract
Background
The gliding surface of total knee endoprostheses is exposed to high loads due to patient weight and activity. These implant components are typically manufactured from ultra-high molecular weight polyethylene (UHMWPE). Crosslinking of UHMWPE by ionizing radiation results in higher wear resistance but induces the formation of free radicals which impair mechanical properties after contact with oxygen. Medium-crosslinked UHMWPE enriched with vitamin E (MXE) provides a balance between the parameters for a sustainable gliding surface, i.e., mechanical strength, wear resistance, particle size, and oxidation stability. Therefore, a gliding surface for knee endoprostheses made up from this material was developed, certified, and launched. The aim of this study is to compare this new gliding surface to the established predecessor in a non-inferiority design.

Methods
This multicenter, binational randomized controlled trial will enroll patients with knee osteoarthritis eligible for knee arthroplasty with the index device. Patients will be treated with a knee endoprosthesis with either MXE or a standard gliding surface. Patients will be blinded regarding their treatment. After implantation of the devices, patients will be followed up for 10 years. Besides clinical and patient-related outcomes, radiological data will be collected. In case of revision, the gliding surface will be analyzed biomechanically and regarding the oxidative profile.

Discussion
The comparison between MXE and the standard gliding surface in this study will provide clinical data to confirm preceding biomechanical results in vivo. It is assumed that material-related differences will be identified, i.e., that the new material will be less sensitive to wear and creep. This may become obvious in biomechanical analyses of retrieved implants from revised patients and in radiologic analyses.

Trial registration
ClinicalTrials.gov, NCT04618016. Registered 27 October 2020, https://clinicaltrials.gov/study/NCT04618016?term=vikep&checkSpell=false&rank=1.
All items from the World Health Organization Trial Registration Data Set can be found in Additional file 1.
Effects of including a dog on treatment motivation and the therapeutic alliance in child and adolescent psychotherapy: study protocol for a randomized controlled trial
Authors: Arnskötter Wanda , Martin Suzanne , Walitza Susanne , Hediger Karin 
Published: January 2024

Abstract
Background
Motivation and a therapeutic alliance are crucial for successful therapy. It is assumed that dogs can increase motivation and help support therapeutic relationships. This is one of the reasons for including dogs in psychotherapy. While the positive effects of psychotherapy with dogs have been documented over the past years, little is known about the underlying mechanisms of animal-assisted psychotherapy. This study therefore aims to investigate whether and how the presence of a dog affects motivation and the therapeutic alliance in child and adolescent psychotherapy.

Methods
The study is a randomized controlled trial assessing motivation and the therapeutic alliance during the first five sessions of psychotherapy attended by children and adolescents with different psychiatric disorders. We will recruit 150 children and adolescents and randomly assign them to one of three conditions: (a) a dog is present but not integrated in the therapeutic narrative, (b) a dog is actively integrated in the therapeutic narrative, and (c) no dog is present. The children’s and adolescents’ evaluations of the therapeutic alliance and of their motivation will be assessed as the primary outcomes using standardized questionnaires before and after the first five therapy sessions as well as at follow-up. Further outcomes include the therapists’ evaluations of the therapeutic alliance and their motivation, treatment adherence of the children and adolescents, and treatment satisfaction of the children and adolescents, their parents, and of the therapists. Interventions are conducted by experienced therapists who regularly work with their dogs. Outcomes will be analyzed using general linear models, with the treatment group as a fixed factor and the baseline values as covariates.

Discussion
This study provides information on the possible motivation and alliance-enhancing effects of integrating a dog into child and adolescent psychotherapy. This is relevant for practice, as these two components are strong predictors of therapy outcome. Moreover, the study will contribute to a better understanding of how a dog should be incorporated into psychotherapeutic settings. This can lead to a more purposeful inclusion of dogs in psychotherapy for children and adolescents.

Trial registration
The trial was registered on ClinicalTrials.gov, NCT05384808, on 20 May 2022.
Macrophage activation syndrome with acute hepatitis in a patient with adult-onset immunodeficiency with anti-interferon gamma antibodies: a case report
Authors: Hirsch William , Megna Bryant , Adeyi Oyedele , Lim Nicholas 
Published: January 2024

Abstract
Background
Macrophage activation syndrome is a rare disorder leading to unregulated immune activity manifesting with nonspecific constitutional symptoms, laboratory abnormalities, and multiorgan involvement. We report the case of a patient who presented with acute hepatitis secondary to macrophage activation syndrome diagnosed by liver biopsy and successfully treated with intravenous immune globulin, anakinra, and rituximab.

Case presentation
A 42-year-old Laotian woman with adult-onset immunodeficiency with anti-interferon gamma antibodies presented with a fever, headache, generalized myalgia, dark urine, and reduced appetite in the setting of family members at home with similar symptoms. Her laboratory workup was notable for evidence of acute hepatitis without acute liver failure. After an unrevealing comprehensive infectious and noninvasive rheumatologic workup was completed, a liver biopsy was performed ultimately revealing the diagnosis of macrophage activation syndrome. She was successfully treated with intravenous immune globulin, anakinra, and rituximab.

Conclusion
This case highlights the importance of maintaining macrophage activation syndrome on the differential of a patient with acute hepatitis of unknown etiology in the correct clinical context and the value of a liver biopsy in making a diagnosis when noninvasive testing is unrevealing.
Impact of health system strengthening interventions on child survival in sub-Saharan Africa: a systematic review protocol
Authors: Agula Caesar , Bawah Ayaga A. , Asuming Patrick O. , Kyei Pearl , Biney Adriana 
Published: January 2024

Abstract
Background
Strengthening healthcare systems is a practical approach to enhance healthcare delivery and services. Although there has been a rise in the number of health systems strengthening (HSS) interventions in sub-Saharan Africa (SSA), there is limited evidence on the causal effect of these activities on child survival. Furthermore, the findings reported so far have been varied, and how they relate to each other remains unclear. This systematic review study aims to assess all available evidence to understand the impact of HSS activities on child survival in SSA.

Methods
We developed a search strategy to retrieve all relevant studies from electronic databases such as PubMed/MEDLINE, Web of Science, and African Journals Online. We will use a combination of search terms such as “under-five mortality,” “child mortality,” “infant mortality,” “neonatal mortality,” “child survival,” and “health systems strengthening.” The review will include studies that establish a causal relationship between HSS interventions and child survival. This will include studies with designs such as randomized controlled trials and quasi-experimental and methods like difference-in-difference. Two reviewers will independently screen all citations, abstracts, and full-text data and a third reviewer will act as a tiebreaker in case of disagreements. The primary outcome of interest is the impact of HSS activities on under-five survival. We will evaluate the quality of each study using the Bradford Hill criteria for causation.

Discussion
Our systematic review will identify and evaluate all relevant evidence that establishes a causal relationship between HSS activities and the survival of children under five years in SSA. The review’s findings regarding the impact of HSS activities on child survival could be of significant interest to the donor community and policy actors in the region. We also anticipate that the review’s conclusions could serve as a valuable guide for the development of future health system interventions and strategies in SSA.

Systematic review registration
PROSPERO CRD42022333913.
BGNBA-OCO based privacy preserving attribute based access control with data duplication for secure storage in cloud
Authors: Pavithra M. , Prakash M. , Vennila V. 
Published: January 2024

AbstractCloud computing technology offers flexible and expedient services that carry a variety of profits for both societies as well as individuals. De-duplication techniques were developed to minimize redundant data in the cloud storage. But, one of the main challenges of cloud storage is data deduplication with secure data storage.To overcome the issue, we propose Boneh Goh Nissim Bilinear Attribute-based Optimal Cache Oblivious (BGNBA-OCO) access control and secure de-duplication for data storage in cloud computing in this paper. The proposed method achieves fne-grained access control with low computation consumption. We design Boneh Goh Nissim Privacy Preserving Revocable Attribute-based Encryption that reinforces attribute revocation and averts the discharge of sensitive information. Furthermore, we utilize Optimal Cache Oblivious algorithm to prevent disclosure of access patterns to hide the access patterns in cloud storage via rand pattern matching. We support updating both encrypted data and access control policies to minimize communication and computation overhead of data duplication and encryption processes concurrently. We perform secure data sharing to achieve higher data confidentiality and integrity. Finally, we conducted the extensive experiments in cloud and the results illustrated that our proposed BGNBA-OCO method is more efficient than related works.
28-day perioperative pediatric mortality and its predictors in a tertiary teaching hospital in Ethiopia: a prospective cohort study
Authors: Molla Misganew Terefe , Anley Nebiyu Shitaye , Zewdie Bekalu Wubshet , Endeshaw Amanuel Sisay , Kumie Fantahun Tarekegn 
Published: January 2024

Abstract
Background
Perioperative pediatric mortality is significantly higher in low-resource countries due to a scarcity of well-trained professionals and a lack of well-equipped pediatric perioperative services. There has been little research on pediatric mortality in low-income countries. Therefore, this study aimed to assess the incidence of perioperative pediatric mortality and its predictors in 28-day follow-up.

Methods
The data were collected using REDCap, an electronic data collection tool, between June 01, 2019 and July 01, 2021. This study includes pediatric patients aged 0 to 17 years who underwent surgery in Tibebe Ghion Specialized Hospital over 28 days with a total of 1171 patients. STATA version 17 software was used for data analysis. Log-rank tests were fitted to explore survival differences. After bivariable and multivariable Cox regression analysis, an Adjusted Hazard Ratio (AHR) with a 95% Confidence Interval (CI) was reported to declare the strength of association and statistical significance.

Results
There were 35 deaths in the cohort of 1171 pediatric patients. Twenty of the deaths were in neonates. The overall perioperative mortality among pediatric patients was 2.99%, with an incidence rate of 1.11 deaths per 1000 person day observation (95% CI 0.79, 1.54). The neonatal age group had an AHR = 9.59, 95% CI 3.77, 24.3), transfusion had an AHR = 2.6, 95% CI 1.11, 6.09), and the America Society of Anesthesiology physical status classification III and above had an AHR = 4.39, 95% CI 1.61, 11.9 were found the significant predictors of perioperative pediatric mortality.

Conclusions
In this study, the perioperative mortality of pediatric patients was high in the 28-day follow-up. Neonatal age, transfusion, and America Society of Anesthesiology physical status III and above were significant predictors of pediatric mortality. Therefore, perioperative surgical teams should give special attention to neonates, the America Society of Anesthesiology physical status III and above, and transfusion to reduce pediatric mortality.
Analysis of solar energy potentials of five selected south-east cities in nigeria using deep learning algorithms
Authors: Ikemba Samuel , Song-hyun Kim , Scott Temiloluwa O , Ewim Daniel R. E. , Abolarin Sogo M. , Fawole Akeeb Adepoju 
Published: January 2024

AbstractThis study presents a meticulous examination of the solar energy potential of five selected metropolitan cities (Abakaliki, Awka, Enugu, Owerri, and Umuahia) in Eastern part of Nigeria using deep learning algorithm, specifically the Long Short-Term Memory (LSTM) model. These cities, despite being characterized by extended rainy seasons and a high level of cloudiness, are suitable environment for solar power generation and investment opportunities. The employed methodology capitalized on the LSTM deep learning approach to analyze and predict energy generation, utilizing comprehensive hourly weather data from the National Airspace Agency (NASA). The data set comprised various parameters, such as date/time, solar azimuth angle, temperature, humidity, wind speed, wind direction, cloud cover, and power, enabling a thorough analysis of each city. To ensure accuracy, energy prediction capabilities were benchmarked against real-time datasets from a solar power plant in Ulsan, South Korea, thereby training and fine-tuning the model for precision. The LSTM model's performance metrics were maintained at a learning rate of 0.07, a batch size of 150, and a train-test split ratio of 0.8 to 0.2. Data validation exhibited a mean square error (MSE) of 0.01, demonstrating the model’s reliability. Results showed Enugu as having the highest solar energy potential, averaging 6.25 kWh/day, while Awka registered the most substantial electricity demand across various sectors. These findings highlight the substantial potential for photovoltaic (PV) power systems and advocate for the immediate implementation of renewable energy policy in the selected cities. These are expected to bring about significant implications for future renewable energy environmentally friendly investments in Nigeria and globally.
Impact of green digital finance on sustainable development: evidence from China’s pilot zones
Authors: Xiao Yubo , Lin Muxi , Wang Lu 
Published: January 2024

AbstractTo investigate the impact of Green Digital Finance (GDF) policies on sustainable regional development goals, this study exploits the implementation of China’s green finance reform and innovation pilot zones as a quasi-natural experiment to examine the theory and impact of policy channels on sustainable development. A difference-in-differences model was applied to evaluate the impact of policies in these zones based on data from 285 cities in China from 2014 to 2020. Research has shown that the GDF is conducive to achieving sustainable development goals through the effects of financial inclusion and energy transitions, which promote the transformation and upgrading of industrial structures. The impact of the GDF pilot-zone policies on the sustainable development of cities at different levels, locations, resource endowments, and green total factor productivity is heterogeneous. This study provides accurate empirical evidence of the effects of the extensive implementation of the policies adopted in the pilot zones and the expansion of the scale of these zones, and it provides policy recommendations for the GDF.
Application of probiotics as a constituent element of non-surgical periodontal therapy for cases with chronic periodontitis
Authors: Robo Ilma , Heta Saimir , Ostreni Vera , Hysi Joana , Alliu Nevila 
Published: January 2024

Abstract
Background
Non-surgical periodontal therapy includes not only the local curettage of tartar and bacterial plaque, but also aims to remove "bubbling" bacteria in saliva or gingival fluid, which cause the creation of bacterial plaque and therefore also chronic periodontitis. In the final stage, the indication for giving or not prescribing antibiotics depends on the clinical course of the disease. Probiotics can serve as helpers in the "fight" against the causative pathogenic bacteria, but with the specificity of application in the intermediate stages and not in the final stage of non-surgical periodontal treatment.

Main body of the abstract
The study is of the review type with the aim of selecting articles published in PubMed in a period of 5 years about the topic of probiotics and their application in non-surgical periodontal therapy for the treatment of chronic periodontitis. The selection of articles was carried out based on the combination of key words. The selected articles were 23 and then classified based on the clinical periodontal parameters that have been studied and the positive, positive/negative or negative attitude about the application or not of probiotics for the treatment of chronic periodontitis as a companion to non-surgical periodontal therapy. Non-concrete well-defined results are observed on the type of dosage and method of application of probiotics, being accompanied by non-concrete results both locally in the affected periodontal areas, but also systemic in the patient's serum.

Short conclusion
Correct application protocols of probiotics for treatment of chronic periodontitis, but also of other periodontal pathologies, have “the advantage” of avoiding the prescription of systemic antibiotics, in the conditions of increased resistance to them. The effects of probiotics when applied even in the first stages of non-surgical therapy are mainly visible in the reduction of infection inflammation, the most mentioned and most visible results, based on the data published in the literature. More data are required in this regard.
A study protocol for implementing Canadian Practice Guidelines for Treating Children and Adolescents with Eating Disorders
Authors: Couturier Jennifer L. , Kimber Melissa , Ford Catherine , Coelho Jennifer S. , Dimitropoulos Gina , Kurji Ayisha , Boman Jonathan , Isserlin Leanna , Bond Jason , Soroka Chelsea , Dominic Anna , Boachie Ahmed , McVey Gail , Norris Mark , Obeid Nicole , Pilon David , Spettigue Wendy , Findlay Sheri , Geller Josie , Grewal Seena , Gusella Joanne , Jericho Monique , Johnson Natasha , Katzman Debra , Chan Natalie , Grande Chloe , Nicula Maria , Clause-Walford Drew , Leclerc Anick , Loewen Rachel , Loewen Techiya , Steinegger Cathleen , Waite Elizabeth , Webb Cheryl , Brouwers Melissa 
Published: January 2024

AbstractBackgroundEating disorders have one of the highest mortality rates among psychiatric illnesses. Timely intervention is crucial for effective treatment, as eating disorders tend to be chronic and difficult to manage if left untreated. Clinical practice guidelines play a vital role in improving healthcare delivery, aiming to minimize variations in care and bridge the gap between research and practice. However, research indicates an active guideline implementation approach is crucial to effective uptake.MethodsMixed methods will be used to inform and evaluate our guideline implementation approach. Semi-structured focus groups will be conducted in each of the eight provinces in Canada. Each focus group will comprise 8–10 key stakeholders, including clinicians, program administrators, and individuals with lived experience or caregivers. Qualitative data will be analyzed using conventional content analysis and the constant comparison technique and the results will be used to inform our implementation strategy. The study will then evaluate the effectiveness of our implementation approach through pre- and post-surveys, comparing changes in awareness, use, and impact of the guidelines in various stakeholder groups.DiscussionThrough a multifaceted implementation strategy, involving the co-creation of educational materials, tailored training, and context-specific strategies, this study intends to enhance guideline uptake and promote adherence to evidence-based practices. Our study will also contribute valuable information on the impact of our implementation strategies.
Classification of COVID-19 patients from HRCT score prediction in CT images using transfer learning approach
Authors: Tembhurne Jitendra 
Published: January 2024

AbstractCOVID-19 had a huge impact on patients and medical systems all around the world. Computed tomography (CT) images can effectively complement the reverse transcription-polymerase chain reaction testing (RT-PCR) and offer results much faster than RT-PCR test which assists to prevent spread of COVID-19. Various deep learning models have been recently proposed for COVID-19 screening in CT scans as a tool to automate and help the diagnosis, but consisting of some benefits and limitations. Some of the reasons for this are: (i) training the data with largely unbalanced dataset and (ii) training the models with datasets having all similar CT images which leads to overfitting. In this work, we proposed a method to use multiple models to classify COVID-19 positive or negative which are trained using transfer learning techniques. In addition to classifying, if a person is COVID-19 positive or negative, we have also calculated the high-resolution computed tomography (HRCT) score or CT score to find the severity of infection with the help of image segmentation techniques, which assist in identifying the preliminary prognosis of the patient, and take necessary preventive measures.