bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anatomic and functional masseter muscle adaptation following orthognathic surgery—MRI analysis in 3 years of follow-up
Authors: Duarte Fernando , Silva João Neves , Ramos Carina , Hopper Colin 
Published: July 2024

Abstract
Background
Orthodontic and surgical technical advances in recent years have resulted in treatment opportunities for a whole range of craniofacial skeletal disorders either in the adolescent or adult patient. In the growing child, these can include myofunctional orthodontic appliance therapy or distraction osteogenesis procedures, while in the adult, the mainstay approach revolves around orthognathic surgery.
The literature agrees that for a change in craniofacial morphology to remain stable, the muscles acting upon the facial skeleton must be capable of adaptation in their structure and, therefore, their function. Failure of the muscles to adapt to the change in their length or orientation will place undesirable forces on the muscle attachments leading to potential instability of the skeleton. Adaptation can occur through various processes including those within the neuromuscular feedback mechanism, through changes within muscle structure or through altered muscle physiology, and through changes at the muscle/bone interface.
It is now accepted that because there is no single method of assessing masticatory function, several measures should be taken, and whenever possible, simultaneously.

Methods
This investigation was designed to apply several, newly developed and more sophisticated methods of measuring muscle structure and function to a situation where adaptation of muscle is pivotal to the success of a therapeutic approach. Patients attending the combined orthodontic/orthognathic surgery clinic at the Clitrofa – Centro Médico, Dentário e Cirúrgico, in Trofa, Portugal, were screened. Ten patients scheduled for a bimaxillary osteotomy involving a combination of maxillary Le Fort I impaction procedure coupled with a sagittal split advancement of the mandible were selected to form the study group.
The patients have MRI of the masseter muscle to evaluate the masseter muscle volume and fibre orientation changes. This exam was taken before surgery (T0), 6 to 12 months after surgery (T1), and 3 years after surgery (T2), by two independent observers, according to the protocol jointly developed between the Eastman Dental Institute – University of London and the MRI Centre - Department of Radiology at John Radcliffe Hospital – University of Oxford.

Results
Significant differences (p < 0.05) have been identified between Time 0 (pre-op) and Time 1 (6–12 months post-op) regarding the masseter area (mm2). The differences against Time 0 (pre-op) seem to disappear at Time 2 (3 years post-op).

Conclusions
MRI therefore seems to be a valid tool for measuring differences in the masseter muscle area and volume associated with high-severity occlusal deformities, although showing not to be as efficient in detecting the same differences in cases of low-severity occlusal deformities.
Descriptive analyses of knowledge, attitudes, and practices regarding rabies transmission and prevention in rural communities near wildlife reserves in Uganda: a One Health cross-sectional study
Authors: Atuheire Collins G. K. , Okwee-Acai James , Taremwa Martha , Terence Odoch , Ssali Sarah N. , Mwiine Frank N. , Kankya Clovice , Skjerve Eystein , Tryland Morten 
Published: July 2024

Abstract
Background
Despite urban (domestic dog) rabies cycles being the main target for rabies elimination by 2030, sylvatic (wildlife) rabies cycles can act as rabies spillovers especially in settlements contiguous to wildlife reserves. Rural communities next to wildlife reserves are characterized by unique socio-demographic and cultural practices including bat consumption, hunting for bushmeat, and non-vaccination of hunting dogs against rabies among others. This study aimed to compare the knowledge, attitudes, and practices (KAPs) related to rabies transmission and prevention in the three districts of Uganda; (1) Nwoya, neighboring Murchison Falls National Park (MFNP) in the north, (2) Kamwenge neighboring Kibaale National Park (KNP), Queen Elizabeth National Park (QENP) and Katonga Game Reserve (KGR) in the west, and (3) Bukedea, neighboring Pian Upe Game Reserve (PUGR) in the east of Uganda.

Methods
A community-based cross-sectional survey was conducted in settlements contiguous to these wildlife reserves. Using a semi-structured questionnaire, data were collected from 843 households owning dogs and livestock. Data were collected between the months of January and April 2023. Stratified univariate analyses by district were carried out using the Chi-square test for independence and Fisher’s exact test to compare KAPs in the three study districts.

Results
The median age of study participants was 42 years (Q1, Q3 = 30, 52) with males comprising the majority (67%, n = 562). The key findings revealed that participants from the Nwoya district in the north (MFNP) had little knowledge about rabies epidemiology (8.5%, n = 25), only 64% (n = 187) of them knew its signs and symptoms such as a rabid dog presenting with aggressiveness and showed negative attitudes towards prevention measures (15.3%, n = 45). Participants in the Kamwenge district-west (KNP, QENP, and KGR) had little knowledge and negative attitude towards wildlife–human interaction pertaining to rabies transmission and prevention especially those with no or primary level of education (20.9%, n = 27) while participants from Bukedea in the east (PUGR) had remarkedly poor practices towards rabies transmission, prevention, and control (37.8%, n = 114).

Conclusions
Rabies from sylvatic cycles remains a neglected public health threat in rural communities surrounding national parks and game reserves in Uganda. Our study findings highlight key gaps in knowledge, attitudes, and practices related to rabies transmission and prevention among such communities. Communication and action between veterinary services, wildlife authority, public health teams, social science and community leaders through available community platforms is key in addressing rabies among the sympatric at-risk communities in Uganda.
Effects of dietary zinc on the gut microbiome and resistome of the gestating cow and neonatal calf
Authors: Drake Mary Jane , Daniel Scott G. , Baker Linda D. , Indugu Nagaraju , Bittinger Kyle , Dickens Charlene , Zackular Joseph P. , Pitta Dipti , Redding Laurel E. 
Published: July 2024

AbstractZinc is an essential trace element required in the diet of all species. While the effects of zinc have been studied in growing calves, little is known about the effect of zinc on the microbiota of the gestating cow or her neonatal calf. Understanding factors that shape the gut health of neonatal animals and evaluating the effect of dietary supplements in adult gestating animals is important in promoting animal health and informing feeding practices. The aims of this study were to determine the effect of dietary zinc on the microbiota and resistome of the gestating cow and calf. Gestating cows received standard (40 ppm) or high (205 ppm) dietary zinc levels from dry off to calving. Fecal samples were collected from cows upon enrollment and at calving and from neonatal calves. Fecal samples underwent 16S rRNA sequencing and a subset also underwent shotgun metagenomic sequencing. The effect of zinc supplementation on the diversity and composition of the cow and calf microbiome and resistome was assessed. Alpha and beta diversity and composition of the microbiota were significantly altered over time but not by treatment in the cows, with alpha diversity decreasing and 14 genera found at significantly higher relative abundances at calving compared to enrollment. Levels of 27 antimicrobial resistance genes significantly increased over time. Only a small number of taxa were differentially expressed at calving in treatment and control groups, including Faecalibacterium, Bacteroides, Turicibacter, and Bifidobacterium pseudolongum. No effect of the dam’s treatment group was observed on the diversity or composition of the neonatal calf microbiota. The calf resistome, which was relatively rich and diverse compared to the cow, was also unaffected by the dam’s treatment group. The impact of high levels of dietary zinc thus appeared to be minimal, with no observed changes in alpha or beta diversity, and few changes in the relative abundance of a small number of taxa and antimicrobial resistance genes.
Feasibility of an implementation strategy for preventing falls in homecare services
Authors: Linnerud Siv , Kvæl Linda Aimée Hartford , Bjerk Maria , Taraldsen Kristin , Skelton Dawn A. , Brovold Therese 
Published: July 2024

Abstract
Background
Falls among older adults represent a major health hazard across the world. In 2022, the World Falls Guidelines was published, summarising research evidence and expert recommendations on how to prevent falls, but we need more knowledge on how the evidence can be successfully implemented into routine practice. In this study we used an implementation strategy co-created by healthcare providers, older adults who had fallen and researchers, to facilitate uptake of fall prevention recommendations. This current study aimed to evaluate the feasibility of this co-created implementation strategy in homecare services and provide information on the intervention and measurements for a full-scale cluster-randomized trial.

Methods
This study was a single-armed feasibility study with an embedded mixed-method approach completed in two city districts of Oslo, Norway, over a period of ten weeks. The co-created implementation strategy consists of a package for implementing national recommendations for preventing falls, empowering leaders to facilitate implementation, establish implementation teams, competence improvement and implementation support. City districts established implementation teams who were responsible for the implementation. Feasibility was assessed both qualitatively and quantitatively, using focus group interviews with implementation team members and individual interviews with leaders and staff members and the Feasibility of Intervention Measure (FIM). Qualitative data were analysed using thematic analysis and the Normalisation Process Theory.

Results
Qualitative data were collected from 19 participants: 12 implementation team members, 2 leaders and 5 staff members. 8 of the implementation team members responded to FIM. The analysis revealed four themes: 1) Fostering consensus through tailored implementation and discussions on fall prevention, 2) The importance of multi-level and interdisciplinary collaboration in fall prevention implementation, 3) Minimizing perceived time usage through utilization of existing areas for implementation activities, and 4) Reflective monitoring demonstrates the importance of facilitation and structure in the implementation strategy. For FIM, there were a high level of agreement related to how implementable, possible, doable, and easy to use the implementation strategy was.

Conclusions
Overall, we found the implementation strategy to be feasible to enhance uptake of fall prevention recommendations in the Norwegian homecare services. To succeed with the implementation, a dedicated implementation team should receive support through the implementation process, they should choose small implementation activities to enhance fall prevention competence and managers should possess implementation knowledge.

Trial registration
The trial is registered in the Open Science Registry: https://doi.org/10.17605/OSF.IO/2JFHV Registered: January 11, 2023.
Implementation of partially tuned PD controllers of a multirotor UAV using deep deterministic policy gradient
Authors: Mosweu Emmanuel , Seokolo Tshepo Botho , Akano Theddeus Tochukwu , Motsamai Oboetswe Seraga 
Published: July 2024

AbstractThe present methodology employed in classical control systems is characterized by high costs, significant processing requirements, and inflexibility. In conventional practice, when the controller exhibits instability after being implemented on the hardware, it is often adjusted to achieve stability. However, this approach is not suitable for mass-produced systems like drones, which possess diverse manufacturing tolerances and delicate stability thresholds. The aim of this study is to design and evaluate a controller for a multirotor unmanned aerial vehicle (UAV) system that is capable of adapting its gains in accordance with changes in the system dynamics. The controller utilized in this research employs a Simulink-constructed model that has been taught by reinforcement learning techniques, specifically employing a deep deterministic policy gradient (DDPG) network. The Simulink model of the UAV establishes the framework within which the agent engages in learning through interaction with its surroundings. The DDPG algorithm is an off-policy reinforcement learning technique that operates in continuous action spaces and does not require a model. The efficacy of the cascaded PD controllers and neural network tuner is evaluated. The results revealed that the controller exhibited stability during several flight phases, including take-off, hovering, path tracking, and landing manoeuvres.
SHBG, Free Testosterone, and Type 2 Diabetes Risk in Middle-aged African Men: A Longitudinal Study
Authors: Seipone Ikanyeng D , Mendham Amy E , Storbeck Karl-Heinz , Oestlund Imken , Kufe Clement N , Chikowore Tinashe , Masemola Maphoko , Crowther Nigel J , Kengne Andre Pascal , Norris Shane , Olsson Tommy , Brown Todd , Micklesfield Lisa K , Goedecke Julia H 
Published: July 2024

Abstract

Objectives
To investigate longitudinal changes in SHBG and free testosterone (free T) levels among Black middle-aged African men, with and without coexistent HIV, and explore associations with incident dysglycaemia and measures of glucose metabolism.

Design
This longitudinal study enrolled 407 Black South African middle-aged men, comprising primarily 322 men living without HIV (MLWOH) and 85 men living with HIV (MLWH), with normal fasting glucose at enrollment. Follow-up assessments were conducted after 3.1 ± 1.5 years.

Methods
At baseline and follow-up, SHBG, albumin, and total testosterone were measured and free T was calculated. An oral glucose tolerance test at follow-up determined dysglycaemia (impaired fasting glucose, impaired glucose tolerance, type 2 diabetes) and glucose metabolism parameters including insulin sensitivity (Matsuda index), insulin resistance (homeostasis model assessment of insulin resistance), and beta(β)-cell function (disposition index). The primary analysis focussed on MLWOH, with a subanalysis on MLWH to explore whether associations in MLWOH differed from MLWH.

Results
The prevalence of dysglycaemia at follow-up was 17% (n = 55) in MLWOH. Higher baseline SHBG was associated with a lower risk of incident dysglycaemia (odds ratio 0.966; 95% confidence interval 0.945-0.987) and positively associated with insulin sensitivity (β = 0.124, P &lt; .001) and β-cell function (β = 0.194, P = .001) at follow-up. Free T did not predict dysglycaemia. In MLWH, dysglycaemia prevalence at follow-up was 12% (n = 10). Neither baseline SHBG nor free T were associated with incident dysglycaemia and glucose metabolism parameters in MLWH.

Conclusion
SHBG levels predict the development of dysglycaemia in middle-aged African men but do not exhibit the same predictive value in MLWH.
The Cost of Impatience in Dynamic Matching: Scaling Laws and Operating Regimes
Authors: Kohlenberg Angela , Gurvich Itai 
Published: July 2024

We study matching queues with abandonment. The simplest of these is the two-sided queue with servers on one side and customers on the other, both arriving dynamically over time and abandoning if not matched by the time their patience elapses. We identify nonasymptotic and universal scaling laws for the matching loss due to abandonment, which we refer to as the “cost of impatience.” The scaling laws characterize the way in which this cost depends on the arrival rates and the (possibly different) mean patience of servers and customers. Our characterization reveals four operating regimes identified by an operational measure of patience that brings together mean patience and utilization. The four regimes subsume the regimes that arise in asymptotic (heavy-traffic) approximations. The scaling laws, specialized to each regime, reveal the fundamental structure of the cost of impatience and show that its order of magnitude is fully determined by (i) a “winner-take-all” competition between customer impatience and utilization, and (ii) the ability to accumulate inventory on the server side. Practically important is that when servers are impatient, the cost of impatience is, up to an order of magnitude, given by an insightful expression where only the minimum of the two patience rates appears. Considering the trade-off between abandonment and capacity costs, we characterize the scaling of the optimal safety capacity as a function of costs, arrival rates, and patience parameters. We prove that the ability to hold inventory of servers means that the optimal safety capacity grows logarithmically in abandonment cost and, in turn, slower than the square-root growth in the single-sided queue. This paper was accepted by Baris Ata, stochastic models and simulation. Funding: This work was supported by the National Science Foundation [Grant CMM-2137286]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.01513 .
Using telehealth for people at the end of life with chronic illness in Australia
Authors: O'Connor Margaret , Moore Tim , Zhong Yaping 
Published: July 2024

Background: Traditional models of palliative care have been tested by the challenges of caring for increasing numbers of people at the end stages of a chronic non-malignant illness. The COVID-19 pandemic and consequent reliance on telehealth services, has enabled the development of creative models of care. Aims: To improve home-based palliative care for people with chronic illness using telehealth, and this was demonstrated using quality-of-life measures. Methods: A total of 35 non-cancer referrals to a community palliative care service were recommended for the pilot project, with one specialist palliative care nurse as their contact. All were offered a telehealth service with a specially designed app to self-monitor their symptoms, a session on advance care directives, and self-rated quality-of-life measures using the RAND 36-Item Health Survey (Version 1.0), consisting of 36 items that cover nine domains. Statistical analysis was performed using SPSS software. Findings: Over the 21 months of the pilot study, 13 people chose to participate in the pilot. For participants, telehealth meant more control over their symptoms, fewer emergency presentations and appointment travel time was alleviated. Quality-of-life surveys highlighted physical impairments, which did not change over time. Conclusion: This pilot programme demonstrated an innovative approach to addressing the demands of people dying of chronic illness, with further work required to explore the place of telehealth consultations in the overall healthcare system.
Predictive value of diaphragm ultrasound for mechanical ventilation outcome in patients with acute exacerbation of chronic obstructive pulmonary disease
Authors: Qu Lei-Lei , Zhao Wen-Ping , Li Ji-Ping , Zhang Wei 
Published: July 2024

BACKGROUND
Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is often combined with respiratory failure, which increases the patient's morbidity and mortality. Diaphragm ultrasound (DUS) has developed rapidly in the field of critical care in recent years. Studies with DUS monitoring diaphragm-related rapid shallow breathing index have demonstrated important results in guiding intensive care unit patients out of the ventilator. Early prediction of the indications for withdrawal of non-invasive ventilator and early evaluation of patients to avoid or reduce disease progression are very important.
AIM
To explore the predictive value of DUS indexes for non-invasive ventilation outcome in patients with AECOPD.
METHODS
Ninety-four patients with AECOPD who received mechanical ventilation in our hospital from January 2022 to December 2023 were retrospectively analyzed, and they were divided into a successful ventilation group (68 cases) and a failed ventilation group (26 cases) according to the outcome of ventilation. The clinical data of patients with successful and failed noninvasive ventilation were compared, and the independent predictors of noninvasive ventilation outcomes in AECOPD patients were identified by multivariate logistic regression analysis.
RESULTS
There were no significant differences in gender, age, body mass index, complications, systolic pressure, heart rate, mean arterial pressure, respiratory rate, oxygen saturation, partial pressure of oxygen, oxygenation index, or time of inspiration between patients with successful and failed mechanical ventilation (P > 0.05). The patients with successful noninvasive ventilation had shorter hospital stays and lower partial pressure of carbon dioxide (PaCO2) than those with failed treatment, while potential of hydrogen (pH), diaphragm thickening fraction (DTF), diaphragm activity, and diaphragm movement time were significantly higher than those with failed treatment (P < 0.05). pH [odds ratio (OR) = 0.005, P < 0.05], PaCO2 (OR = 0.430, P < 0.05), and DTF (OR = 0.570, P < 0.05) were identified to be independent factors influencing the outcome of mechanical ventilation in AECOPD patients.
CONCLUSION
The DUS index DTF can better predict the outcome of non-invasive ventilation in AECOPD patients.
Magnetic resonance imaging-based radiomics model for preoperative assessment of risk stratification in endometrial cancer
Authors: Wei Zhi-Yao , Zhang Zhe , Zhao Dong-Li , Zhao Wen-Ming , Meng Yuan-Guang 
Published: July 2024

BACKGROUND
Preoperative risk stratification is significant for the management of endometrial cancer (EC) patients. Radiomics based on magnetic resonance imaging (MRI) in combination with clinical features may be useful to predict the risk grade of EC.
AIM
To construct machine learning models to predict preoperative risk stratification of patients with EC based on radiomics features extracted from MRI.
METHODS
The study comprised 112 EC patients. The participants were randomly separated into training and validation groups with a 7:3 ratio. Logistic regression analysis was applied to uncover independent clinical predictors. These predictors were then used to create a clinical nomogram. Extracted radiomics features from the T2-weighted imaging and diffusion weighted imaging sequences of MRI images, the Mann-Whitney U test, Pearson test, and least absolute shrinkage and selection operator analysis were employed to evaluate the relevant radiomic features, which were subsequently utilized to generate a radiomic signature. Seven machine learning strategies were used to construct radiomic models that relied on the screening features. The logistic regression method was used to construct a composite nomogram that incorporated both the radiomic signature and clinical independent risk indicators.
RESULTS
Having an accuracy of 0.82 along with an area under the curve (AUC) of 0.915 [95% confidence interval (CI): 0.806-0.986], the random forest method trained on radiomics characteristics performed better than expected. The predictive accuracy of radiomics prediction models surpassed that of both the clinical nomogram (AUC: 0.75, 95%CI: 0.611-0.899) and the combined nomogram (AUC: 0.869, 95%CI: 0.702-0.986) that integrated clinical parameters and radiomic signature.
CONCLUSION
The MRI-based radiomics model may be an effective tool for preoperative risk grade prediction in EC patients.