bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perspectives of Nonspecialists Delivering a Brief Depression Treatment in the United States: A Qualitative Investigation
Authors: Woodard Grace S. , Mraz Amanda , Renn Brenna N. 
Published: January 2023

Abstract
Background
Task sharing is an implementation strategy which increases access to services by training and supporting treatment delivery by nonspecialists. Such an approach has demonstrated effectiveness for depression and other mental health outcomes; however, few studies in high-income countries have examined nonspecialist providers’ (NSPs) perspectives of the acceptability, feasibility, and appropriateness of delivering mental health interventions. We examine qualitative reports of NSPs experiences delivering a brief structured behavioral intervention for depression (called “Do More, Feel Better” [DMFB]) to adults aged 55 and older.

Methods
All NSPs (N = 4, 100%) who delivered DMFB participated in a focus group to probe their perceptions of the acceptability, feasibility, and appropriateness of both the intervention and their delivery experience as NSPs. Two coders analyzed the qualitative data from focus groups using codebook thematic analysis.

Results
NSPs perceived the intervention and delivery experience to be acceptable, feasible, and appropriate. Qualitative results provided insight into specific barriers and facilitators which may be important to consider when planning to implement task sharing. Themes that emerged from qualitative data included supervision being highly acceptable and feasible, appropriateness of the intervention for NSPs, and the feasibility of tailoring the intervention to patient participants. NSPs also expressed difficulty managing emotional investment in patients’ success and providing therapy during a pandemic and racial violence in the US.

Conclusions
Our results can inform future implementation and sustainment of task sharing interventions to expand access to care.
Three dimensional evaluation of the skeletal and temporomandibular joint changes following stabilization splint therapy in patients with temporomandibular joint disorders and mandibular deviation: a retrospective study
Authors: Ahmed Madiha Mohammed Saleh , Shi Danli , Al-Somairi Majedh Abdo Ali , Alhashimi Najah , Almashraqi Abeer A. , Musa Mazen , Li Ning , Chen Xi , Alhammadi Maged S. 
Published: January 2023

AbstractBackgroundThree-dimensional (3D) detailed evaluations of the mandibular mediolateral position, mandibular condylar position, and temporomandibular joint (TMJ) spaces following stabilization splints (SS) therapy in patients with temporomandibular joint disorders (TMD) and mandibular deviation (MD) have not been reported in the available literature. Accordingly, this study aimed to three-dimensionally analyze the skeletal and bony temporomandibular joint changes following stabilization splint therapy in adult patients with temporomandibular joint disorders and mandibular deviation.MethodsThis study is a retrospective clinical study that enrolled 26 adult patients with TMD and MD with a mean age of 24.86 years. The Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) was used to diagnose TMD. SS was adjusted weekly until occlusal contact stabilization occurred, and then adjusted monthly, patients were instructed to wear it at night for at least 10 h. The SS was removed after the elimination of TMD symptoms (TMJ/muscle pain on palpation, muscle spasm, and clicking) and having both condyles completely seated in a musculoskeletally stable position. Pre- and post-therapeutic Cone Beam Computed Tomography (CBCT) was analyzed. Mandibular mediolateral position, TMJ spaces, and mandibular condyle position were analyzed three-dimensionally using Mimics 21.0 software. Paired t-test or Wilcoxon rank-sum test was performed, and the significance level was considered atP < 0.05.ResultsThe treatment period with SS therapy was 10.07 ± 3.1 months. The deviated chin was improved in 69.23% of the sample; the range of improvement was > 0 mm ≤ 3.9 mm. The mandibular rotation was significantly decreased from 3.58 ± 2.02° to 3.17 ± 1.60. The deviated side’s superior and posterior joint TMJ spaces were significantly increased from 2.49 ± 0.88 mm and 1.25 ± 0.79 mm to 2.98 ± 1.02 mm and 1.86 ± 0.72 mm, respectively. The value of the difference from the bilateral condyle head position to the X and Z axes significantly decreased from 2.50 ± 1.56 mm and 2.30 ± 1.57 mm to 1.64 ± 1.58 mm and 1.82 ± 1.11 mm, respectively.ConclusionThe main positional effect of the stabilization splint treatment in TMD patients with MD includes considerable correction of mandibular deviation, improving facial asymmetry, and moving the condyle into a stable condylar position; these were done by promoting the mandible to rotate around the Z (roll) and Y (yaw) axes and by forward, downward, and outward condylar movement on the deviated side, respectively.
Robust adaptive beamforming based on covariance matrix reconstruction using Gauss–Legendre quadrature and steering vector estimation
Authors: Lv Yan , Cao Fei , Wu Fan , He Chuan , Feng Xiaowei 
Published: January 2023

AbstractThe performance of adaptive beamforming is considerably affected by system errors in the gain and phase perturbation errors, direction of arrival mismatch, and incoherent local scattering, especially when the sample data contains the signal of interest (SOI) component. In this study, a robust adaptive beamforming approach based on interference plus noise covariance matrix (INCM) reconstruction using Gauss–Legendre quadrature (GLQ) and steering vector (SV) estimation is developed. The proposed algorithm incorporates the GLQ with the integral over the spherical uncertainty set and uses a linear combination of the integral at several angular nodes to substitute the integral of the entire interference region; consequently, the computational efficiency of reconstructing the INCM is enhanced. The SV of the SOI is represented as a linear combination of several principal eigenvectors of the SOI covariance matrix; thus, the double-constrained problem corresponding to the noise subspace is transformed into a single-constrained model, and its solution can be gained by utilizing the Lagrange multiplier method. Subsequently, the weight vector of the proposed beamformer can be calculated. Numerical simulations indicate that the proposed approach can effectively suppress interferences and exhibits superior overall performance under system errors.
Exploring adverse childhood experiences (ACEs) among Ugandan university students: its associations with academic performance, depression, and suicidal ideations
Authors: Muwanguzi Moses , Kaggwa Mark Mohan , Najjuka Sarah Maria , Mamun Mohammed A. , Arinaitwe Innocent , Kajjimu Jonathan , Nduhuura Elicana , Ashaba Scholastic 
Published: January 2023

Abstract
Background
Adverse childhood experiences (ACEs) among university students have been linked to a variety of factors and have been shown to have a dose–response relationship with adult health and behavior.

Objective
To investigate the effect of exposure to ACEs on academic performance, depression, and suicidal ideations among university students.

Methods
A cross-sectional survey among university students at a public university in southwestern Uganda was conducted in 2021, integrating the Adverse Childhood Experiences International Questionnaire for assessing ACEs, the Patient Health Questionnaire for assessing depression symptoms and suicidal ideations, and questions assessing the family structure and academic performance as adopted from similar studies. Regression analysis was performed, and 3 models were generated to answer the study hypotheses.

Results
A total of 653 undergraduate university students with a mean age of 22.80 (± 3.16) years were recruited. Almost all students (99.8%) experienced one or more ACEs, with physical abuse being the common ACE reported. The average depression symptom severity was statistically higher among individuals who experienced any form of ACEs. No relationship was observed between the ACEs experienced and self-rated academic performance. Similarly, on regression analysis, the cumulative number of ACEs was not associated with self-rated academic performance (β =  − 0.007; 95% CI − 0.031 to 0.016; p = 0.558). However, the cumulative number of ACEs was positively associated with depression symptom severity (β = 0.684; 95% CI 0.531–0.837; p < 0.001), as well as increased the likelihood of suicidal ideations (aOR = 1.264; 95% CI 01.090–1.465; p < 0.001).

Conclusions
The burden of ACEs is exceedingly high among Ugandan university students, highlighting the urgency in strengthening effective child protection strategies to protect Uganda’s rapidly growing population from mental ill-health and avoid future psychological disability, a burden to the healthcare system. The study's findings will also be useful to practitioners/policymakers working to prevent/limit child maltreatment globally.
Land cover and NDVI are important predictors in habitat selection along migration for the Golden-crowned Sparrow, a temperate-zone migrating songbird
Authors: Iverson Autumn R. , Humple Diana L. , Cormier Renée L. , Hull Josh 
Published: January 2023

Abstract
Background
Migrating passerines in North America have shown sharp declines. Understanding habitat selection and threats along migration paths are critical research needs, but details about migrations have been limited due to the difficulty of tracking small birds. Recent technological advances of tiny GPS-tags provide new opportunities to delineate fine-scale movements in small passerines during a life stage that has previously been inherently difficult to study.

Methods
We investigated habitat selection along migration routes for a temperate-zone migratory passerine, the Golden-crowned Sparrow (Zonotrichia atricapilla), given GPS tags on California wintering grounds. We used a resource selection function combined with conditional logistic regression to compare matched sets of known stopover locations and available but unused locations to determine how land cover class, vegetation greenness and climate variables influence habitat selection during migration. We also provide general migration descriptions for this understudied species including migration distance, duration, and elevation, and repeated use of stopover areas.

Results
We acquired 22 tracks across 19 individuals, with a total of 541 valid spring and fall migration locations. Birds traveled to breeding grounds in Alaska and British Columbia along coastal routes, selecting for shrubland and higher vegetation greenness in both migration seasons as well as grasslands during fall migration. However, model interactions showed they selected sites with lower levels of greenness when in forest (both seasons) and shrubland (fall only), which may reflect their preference for more open habitats or represent a trade-off in selection between habitat type and productivity. Birds also selected for locations with higher daily maximum temperature during spring migration. Routes during spring migration were lower in elevation on average, shorter in duration, and had fewer long stopovers than in fall migration. For two birds, we found repeated use of the same stopover areas in spring and fall migration.

Conclusions
Using miniaturized GPS, this study provides new insight into habitat selection along migration routes for a common temperate-zone migrating songbird, contributing to a better understanding of full annual cycle models, and informing conservation efforts. Golden-crowned Sparrows selected for specific habitats along migration routes, and we found previously unknown behaviors such as repeated use of the same stopover areas by individuals across different migratory seasons.
A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis
Authors: Kaur Gagandeep , Sharma Amit 
Published: January 2023

AbstractThere is an exponential growth in textual content generation every day in today's world. In-app messaging such as Telegram and WhatsApp, social media websites such as Instagram and Facebook, e-commerce websites like Amazon, Google searches, news publishing websites, and a variety of additional sources are the possible suppliers. Every instant, all these sources produce massive amounts of text data. The interpretation of such data can help business owners analyze the social outlook of their product, brand, or service and take necessary steps. The development of a consumer review summarization model using Natural Language Processing (NLP) techniques and Long short-term memory (LSTM) to present summarized data and help businesses obtain substantial insights into their consumers' behavior and choices is the topic of this research. A hybrid approach for analyzing sentiments is presented in this paper. The process comprises pre-processing, feature extraction, and sentiment classification. Using NLP techniques, the pre-processing stage eliminates the undesirable data from input text reviews. For extracting the features effectively, a hybrid method comprising review-related features and aspect-related features has been introduced for constructing the distinctive hybrid feature vector corresponding to each review. The sentiment classification is performed using the deep learning classifier LSTM. We experimentally evaluated the proposed model using three different research datasets. The model achieves the average precision, average recall, and average F1-score of 94.46%, 91.63%, and 92.81%, respectively.
A deep learning model for the classification of atrial fibrillation in critically ill patients
Authors: Chen Brian , Maslove David M. , Curran Jeffrey D. , Hamilton Alexander , Laird Philip R. , Mousavi Parvin , Sibley Stephanie 
Published: January 2023

Abstract
Background
Atrial fibrillation (AF) is the most common cardiac arrhythmia in the intensive care unit and is associated with increased morbidity and mortality. New-onset atrial fibrillation (NOAF) is often initially paroxysmal and fleeting, making it difficult to diagnose, and therefore difficult to understand the true burden of disease. Automated algorithms to detect AF in the ICU have been advocated as a means to better quantify its true burden.

Results
We used a publicly available 12-lead ECG dataset to train a deep learning model for the classification of AF. We then conducted an external independent validation of the model using continuous telemetry data from 984 critically ill patients collected in our institutional database. Performance metrics were stratified by signal quality, classified as either clean or noisy. The deep learning model was able to classify AF with an overall sensitivity of 84%, specificity of 89%, positive predictive value (PPV) of 55%, and negative predictive value of 97%. Performance was improved in clean data as compared to noisy data, most notably with respect to PPV and specificity.

Conclusions
This model demonstrates that computational detection of AF is currently feasible and effective. This approach stands to improve the efficiency of retrospective and prospective research into AF in the ICU by automating AF detection, and enabling precise quantification of overall AF burden.
WeWalk: walking with a buddy after stroke—a pilot study evaluating feasibility and acceptability of a person-centred dyadic behaviour change intervention
Authors: Morris Jacqui H. , Irvine Linda , Tooman Tricia , Dombrowski Stephan U. , McCormack Brendan , Van Wijck Frederike , Lawrence Maggie 
Published: January 2023

Abstract
Background
Evidence for benefits of physical activity after stroke is unequivocal. However, many people with stroke are inactive, spending > 80% of waking hours sedentary even when they have physical capacity for activity, indicating barriers to physical activity participation that are not physical. WeWalk is a 12-week person-centred dyadic behaviour change intervention in which a person with stroke (PWS) and a walking buddy form a dyad to work together to support the PWS to increase their physical activity by walking outdoors. This pilot study examined the feasibility of recruiting dyads, explored their perceptions of acceptability and their experiences using WeWalk, to identify required refinements before progression to a clinical trial.

Methods
Design: A single-arm observational pilot study with qualitative evaluation.
Intervention: WeWalk involved facilitated face-to-face and telephone sessions with a researcher who was also a behaviour change practitioner, supported by intervention handbooks and diaries, in which dyads agreed walking goals and plans, monitored progress, and developed strategies for maintaining walking.
Evaluation: Descriptive data on recruitment and retention were collected. Interview data were collected through semi-structured interviews and analysed using thematic analysis, guided by a theoretical framework of acceptability.

Results
We recruited 21 dyads comprising community dwelling PWS and their walking buddies. Ten dyads fully completed WeWalk before government-imposed COVID-19 lockdown. Despite lockdown, 18 dyads completed exit interviews. We identified three themes: acceptability evolves with experience, mutuality, and person-centredness with personally relevant tailoring. As dyads recognised how WeWalk components supported walking, perceptions of acceptability grew. Effort receded as goals and enjoyment of walking together were realised. The dyadic structure provided accountability, and participants’ confidence developed as they experienced physical and psychological benefits of walking. WeWalk worked best when dyads exhibited relational connectivity and mutuality in setting and achieving goals. Tailoring intervention components to individual circumstances and values supported dyads in participation and achieving meaningful goals.

Conclusion
Recruiting dyads was feasible and most engaged with WeWalk. Participants viewed the dyadic structure and intervention components as acceptable for promoting outdoor walking and valued the personally tailored nature of WeWalk. Developing buddy support skills and community delivery pathways are required refinements. ISCTRN number: 34488928.
Robot-assisted laparoscopic radical cystectomy with intracorporeal ileal conduit diversion versus open radical cystectomy with ileal conduit for bladder cancer in an ERAS setup (BORARC): protocol for a single-centre, double-blinded, randomised feasibility study
Authors: Maibom Sophia Liff , Joensen Ulla Nordström , Aasvang Eske Kvanner , Rohrsted Malene , Thind Peter Ole , Bagi Per , Kistorp Thomas , Poulsen Alicia Martin , Salling Lisbeth Nerstrøm , Kehlet Henrik , Brasso Klaus , Røder Martin Andreas 
Published: January 2023

Abstract
Background
Radical cystectomy (RC) with urinary diversion is the recommended treatment for selected cases of non-metastatic high-risk non-muscle-invasive and muscle-invasive bladder cancer. It remains unknown whether robot-assisted laparoscopic cystectomy (RARC) offers any advantage in terms of safety compared to open cystectomy (ORC) in an Enhanced Recovery After Surgery (ERAS) setup. Blinded randomised controlled trials (RCTs) between RARC versus ORC have never been conducted in cystectomy patients. We will investigate the feasibility of conducting a double-blinded RCT comparing ORC with RARC with intra-corporal ileal conduit (iRARC) in an ERAS setup.

Methods
This is a single-centre, double-blinded, randomised (1:1) clinical feasibility study for patients with non-metastatic high-risk non-muscle-invasive or muscle-invasive bladder cancer scheduled for cystectomy. All participants are recruited from Rigshospitalet, Denmark. The planned sample size is 50 participants to investigate whether blinding of the surgical technique is feasible. Participants and postoperative caring physicians and nurses are blinded using a pre-study designed abdominal dressing and blinding of the patient’s electronic health record. Study endpoints are assessed 90 days postoperatively. The primary aim is to study the frequency and pattern of unplanned unblinding after surgery and the number of participants who cannot guess the surgical technique at the day of discharge. Eleven secondary endpoints are assessed: length of stay, days alive and out of hospital, in-hospital complication rate, 30-day complication rate, 90-day complication rate, readmission rate, quality of life, blood loss, pain, rate of moderate/severe post-anaesthesia care unit (PACU) complications, and delirium. Participants are managed in an ERAS setup in both arms of the trial.

Discussion
We report on the design and objectives of a novel experimental feasibility study investigating whether blinding of the surgical technique in cystectomy patients is possible. This information is essential for the design of future blinded trials comparing ORC to RARC. There is a continued need to compare RARC and ORC in terms of both efficacy, safety, and oncological outcomes. Estimated end of study is March 2021.

Trial registration
ClinicalTrials.gov ID: NCT03977831. Registered on the 6th of June 2019.
Towards an integrated blood pressure self-monitoring solution for stroke/TIA in Ireland: a mixed methods feasibility study for the TASMIN5S IRL randomised controlled trial
Authors: Doogue R. , Hayes P. , Hebert R. , Sheikhi A. , Rai T. , Morton K. , Roman C. , McManus R. J. , Glynn L. G. 
Published: January 2023

Abstract
Background
Optimising blood pressure (BP) control is one of the most important modifiable risk factors in preventing subsequent stroke where the risk increases by one-third for every 10 mmHg rise in systolic BP. This study evaluated the feasibility and potential effectiveness of blood pressure self-monitoring with planned medication titration, to inform a definitive trial of the intervention, in patients with a previous stroke or transient ischaemic attack (TIA).

Methods
Patients with a history of stroke/TIA and sub-optimal BP control were invited to take part in a mixed methods feasibility study for a randomised controlled trial. Those meeting the inclusion criteria with systolic BP >130 mmHg were randomised to a self-monitoring intervention group or usual care group. The intervention involved self-monitoring BP twice a day for 3 days within a 7-day period, every month, following text message reminders. Treatment escalation, based on a pre-agreed plan by the general practitioner (GP) and patient, was initiated according to the results of these readings. Semi-structured interviews were carried out with patients and clinicians and analysed thematically.

Results
Of those identified, 47% (32/68) attended for assessment. Of those assessed, 15 were eligible for recruitment and were consented and randomised to the intervention or control group on a 2:1 basis. Of those randomised, 93% (14/15) completed the study and there were no adverse events. Systolic BP was lower in the intervention group at 3 months. Participants found the intervention acceptable and easy to use. GPs found it easy to incorporate into their practice activity without increasing workload.

Conclusions
TASMIN5S, an integrated blood pressure self-monitoring intervention in patients with a previous stroke/TIA, is feasible and safe to deliver in primary care. A pre-agreed three-step medication titration plan was easily implemented, increased patient involvement in their care, and had no adverse effects. This feasibility study provides important information to inform a definitive trial to determine the potential effectiveness of the intervention in patients post-stroke or TIA.

Trial registration
ISRCTN57946500. Registered on 12/08/2019.