Prediction of Mini-Mental State Examination Scores for Cognitive Impairment and Machine Learning Analysis of Oral Health and Demographic Data Among Individuals Older Than 60 Years: Cross-Sectional Study.

Background: As the older population grows, so does the prevalence of cognitive impairment, emphasizing the importance of early diagnosis. The Mini-Mental State Examination (MMSE) is vital in identifying cognitive impairment. It is known that degraded oral health correlates with MMSE scores ≤26.

Examining sleep health and its associations with technology use among older adults in Sweden: insights from a population-based study.

Introduction: Exploring the association between technology use and sleep health in older adults is important as digital engagement becomes integrated into society.

Objective: This study aimed to examine sleep health and its association with technology use in a population-based cohort of 60 years and older.

Methods: This cross-sectional, population-based study (2023) included 436 older adults from the Swedish National Study on Aging and Care, Blekinge (SNAC-B) population.

Correcting market failure for no-regret electric road investments under uncertainty.

Several electric road system technologies that enable in-motion charging of electric vehicles are nearing market readiness. However, substantial contribution to decarbonization requires rapid deployment on an international scale. Investment is discouraged by prior research that has identified that declining battery costs may eventually leave the infrastructure a stranded asset.

Locus of control and breathlessness: a cross-sectional analysis of 28 730 people.

Background: Long-term pathological breathlessness is a life-limiting symptom that risks taking control of the individual's life. We aimed to evaluate how locus of control (LOC), an individual's perceived control of present and past life events, relates to breathlessness in a middle-aged general population.

Methods: A population-based, cross-sectional analysis of people aged 50-64 years was conducted in the Swedish CArdioPulmonary bioImage Study (SCAPIS).

Temporal Associations Between Cognitive Impairment and Depression in Older Adults: A Longitudinal Analysis.

Depression and cognitive impairment frequently co-occur in older adults, but their temporal relationship remains unclear. While depression is often considered a risk factor for cognitive decline, evidence is mixed, particularly in individuals with mild cognitive impairment or early dementia (MCI/ED). This study analyzed longitudinal data from 1086 participants (M = 74.

Uncertainty aware domain incremental learning for cross domain depression detection.

Deep learning techniques have demonstrated significant promise for detecting Major Depressive Disorder (MDD) from textual data but they still face limitations in real-world scenarios. Specifically, given the limited data availability, some efforts have resorted to aggregating data from different domains to expand the data volume. However, these approaches face critical challenges, including data privacy, domain gaps, class imbalance, and uncertainty arising from both the data and the model.

Enhancing stroke risk prediction through class balancing and data augmentation with CBDA-ResNet50.

Accurate prediction of stroke risk at an early stage is essential for timely intervention and prevention, especially given the serious health consequences and economic burden that strokes can cause. In this study, we proposed a class-balanced and data-augmented (CBDA-ResNet50) deep learning model to improve the prediction accuracy of the well-known ResNet50 architecture for stroke risk. Our approach uses advanced techniques such as class balancing and data augmentation to address common challenges in medical imaging datasets, such as class imbalance and limited training examples.

The Significance of Social Connections and Health in Relation to Loneliness Experienced by Older Adults Living at Home: A Qualitative Study.

Background And Aim: Due to ageing, physical changes can affect one's ability to actively engage with others, resulting in limitations in social connections comparable to loneliness. Hence, there is a need for research on how older adults avoid experiencing loneliness and thus promote health through social connections. The aim of this study was to describe the significance of social connections and health in relation to loneliness experienced by older adults living at home.

The Life Course of Abused Men-A Time-Geography Life-Chart Interview Study in a Psychiatric Care Context.

Experience of abuse as a life event is common among men in a psychiatric care context. Systematically charting life events and abuse plays a central role within psychiatric and mental health nursing and could improve the understanding of the patient's life situation. The aim of the study was to explore the life course of male psychiatric patients who had experienced domestic abuse as victims and as perpetrators.

YOLO for early detection and management of Tuta absoluta-induced tomato leaf diseases.

The agricultural sector faces persistent threats from plant diseases and pests, with Tuta absoluta posing a severe risk to tomato farming by causing up to 100% crop loss. Timely pest detection is essential for effective intervention, yet traditional methods remain labor-intensive and inefficient. Recent advancements in deep learning offer promising solutions, with YOLOv8 emerging as a leading real-time detection model due to its speed and accuracy, outperforming previous models in on-field deployment.

Modified Kumaraswamy seasonal autoregressive moving average models with exogenous regressors for double-bounded hydro-environmental data.

This paper proposes the MKSARMAX model for modeling and forecasting time series that can only take on values within a specified range, such as in the interval (0,1). The model is especially good for modeling double-bounded hydro-environmental time series since it accommodates bounded support and asymmetric distribution, making it advantageous compared to the traditional Gaussian-based time series model. The MKSARMAX models the conditional median of a modified Kumaraswamy distributed variable observed over time, by a dynamic structure considering stochastic seasonality and including autoregressive and moving average terms, exogenous regressors, and a link function.

Association between healthcare resources, healthcare systems, and population health in European countries.

Background: Recently, the demand for care has risen, while in contrast, healthcare resources remain limited. These resources include health expenditure, the number of physicians, nurses, and hospital beds. Many studies have revealed that healthcare resources are one of the most critical factors contributing to a population's health status.

Development of a Person-Centred Coordinated Care Pathway in Swedish Healthcare for Low Back Pain.

Introduction: This project aimed to develop a Person-Centred Co-ordinated Care (P3C) pathway for low back pain (LBP).

Description: A national working group was formed consisting of representatives from all regional healthcare organisations in Sweden and included all relevant healthcare professions, academia, and patient organisations. A mixed method iterative design and consensus approach was applied in the development of the P3C pathway.

Performance Assessment of Change Detection Based on Robust PCA for Wavelength Resolution SAR Images Using Nonidentical Flight Passes.

One of the main challenges in Synthetic Aperture Radar (SAR) change detection involves using SAR images from different flight passes. Depending on the flight pass, objects have different specular reflections since the radar cross-sections of these objects can be totally different between passes. Then, it is common knowledge that the flight passes must be close to identical for conventional SAR change detection.

Supporting relatives when general palliative care is provided at home- a focus group study based on nurses' experiences.

Background: Relative's efforts are essential when palliative care is provided at home and support from healthcare professionals is needed. Despite this, since the support provided varies, relatives may have unmet support needs. Many people receive general palliative care at home rather than specialised care, and nurses play a significant role in supporting relatives.

Exploring similarity patterns in a large scientific corpus.

Similarity-based analysis is a common and intuitive tool for exploring large data sets. For instance, grouping data items by their level of similarity, regarding one or several chosen aspects, can reveal patterns and relations from the intrinsic structure of the data and thus provide important insights in the sense-making process. Existing analytical methods (such as clustering and dimensionality reduction) tend to target questions such as "Which objects are similar?"; but since they are not necessarily well-suited to answer questions such as "How does the result change if we change the similarity criteria?" or "How are the items linked together by the similarity relations?" they do not unlock the full potential of similarity-based analysis-and here we see a gap to fill.

Vowel segmentation impact on machine learning classification for chronic obstructive pulmonary disease.

Vowel-based voice analysis is gaining attention as a potential non-invasive tool for COPD classification, offering insights into phonatory function. The growing need for voice data has necessitated the adoption of various techniques, including segmentation, to augment existing datasets for training comprehensive Machine Learning (ML) modelsThis study aims to investigate the possible effects of segmentation of the utterance of vowel "a" on the performance of ML classifiers CatBoost (CB), Random Forest (RF), and Support Vector Machine (SVM). This research involves training individual ML models using three distinct dataset constructions: full-sequence, segment-wise, and group-wise, derived from the utterance of the vowel "a" which consists of 1058 recordings belonging to 48 participants.

Children's and adolescents' perspectives on routine inquiry about violence in specialised outpatient care.

Objective: This study explores children's and adolescents' experiences and opinions of routine inquiries about violence within specialised outpatient care. Utilising a mixed method with a convergent parallel design, the research combines quantitative data from 184 respondents aged 6-17 collected through survey data and qualitative interviews with four participants aged 7-14. The data presented is a byproduct of an ongoing research project that evaluates a questionnaire designed to ask children about violence.

Exploring predictors of the five-time sit-to-stand test based on cross-sectional findings from the Swedish National Study on Aging and Care (SNAC).

Background: As we age, staying physically active and reducing sedentary behavior becomes crucial. To understand how to achieve this, factors related to daily physical function such as five-time sit-to-stand (STS) time should be explored. This study aimed to investigate the associations between STS time, self-rated physical activity, physical function, health-related quality of life, physical and mental health in community-dwelling older adults aged ≥ 60 years.

Chronobiology in breathlessness across 24 h in people with persistent breathlessness.

https://bit.ly/3WVbCrF.

Men's Experience of Abuse During Child- and Adulthood and Identification of Self as Perpetrator: A Cross-Sectional Study in Psychiatric Care.

The aim of this study was to describe the extent to which men in psychiatric care have experienced emotional, physical, and sexual abuse during the life course and the association between this experience and being a perpetrator oneself. The aim was also to identify who exposed them to abuse and whether there was an association between the category of abuser and being a perpetrator oneself. A cross-sectional study was performed using the self-administered NorVold Abuse Questionnaire for men.

Treatment of peri-implant mucositis using an Er:YAG laser or an ultrasonic device: a randomized, controlled clinical trial.

Purpose: The study assessed the clinical outcomes following treatment of peri-implant mucositis using Er:YAG laser or an ultrasonic device over six months. Patients' experience of pain, aesthetics, and Quality of life were further assessed.

Methods: One dental implant, per included patient, diagnosed with peri-implant mucositis underwent treatment with an Er:YAG laser (test) or an ultrasonic scaler (control) randomly.

Objective sleep monitoring at home in older adults: A scoping review.

Inadequate sleep in older adults is linked to health issues such as frailty, cognitive impairment and cardiovascular disorders. Maintaining regular sleep patterns is important for healthy aging, making effective sleep monitoring essential. While polysomnography is the gold-standard for diagnosing sleep disorders, its regular use in home settings is limited.

Prevalence of Atrial Fibrillation and Long-Term Survival of Older Adults; Findings from the SNAC Study.

This study examined the prevalence and long-term survival of atrial fibrillation (AF) in the older population. Data was recruited from the longitudinal SNAC study from baseline (2001-2004) for up to 10 years. The population comprised 6,904 persons (59% women) (mean age 73.