Types Of Modalities Research Articles

Advances in HIV self-testing: Systematic review of current developments and the road ahead in high-burden countries of Africa.

Although HIV self-testing technologies have created new opportunities for achieving national and global HIV testing goals, current developments have not been compiled to inform policy and practice, especially in high HIV burden countries of Africa. We aimed to compile and synthesize the evidence about HIV self-testing technologies, strategies, and uptake in the top-10 high HIV burden countries of Africa. We searched CINAHL, PubMed, Web of Science, PsycINFO, Social Science Citation Index, and EMBASE to include eligible articles published in English between January 2012 and November 2022. In total, 865 articles were retrieved and only 16 studies conducted in five African countries were eligible and included in this review. The two types of HIV self-testing modalities presently being used in Africa are: The first is Home Self-Test which is done entirely at home or in another private location by using oral fluid or blood specimen. The second modality is Mail-In Self-Test (self-sampling), where the user collects their own sample and sends this to a laboratory for testing. Perceived opportunities for the uptake of HIV self-testing were autonomy and self-empowerment, privacy, suitability, creating a chance to test, and simplicity of use. The potential barriers to HIV self-testing included fear and worry of a positive test result, concern of the test results is not reliable, low literacy, and potential psychological and social harms. The oral-fluid self-testing is preferred by most users because it is easy to use, less invasive, and painless. The difficulty of instructions on how to use self-test kits, and the presence of different products of HIV self-testing kits, increase rates of user errors. Adopting HIV self-testing by overcoming the challenging potential barriers could enable early detection, care, treatment, and prevention of the disease to achieve the 95-95-95 goal by 2030. Further study is necessary to explore the actual practices related to HIV self-testing among different populations in Africa.

The Promise and Challenges of Energy Medicine: A Review of the Current Landscape

Energy medicine (EM), is a type of complementary and alternative medicine, which encompasses a range of practices aimed at promoting holistic well-being through the manipulation of energy fields within the body. EM has immense potential in delivering valuable support in a wide range of health conditions. It is imperative for healthcare professionals to be aware of EM, its safety and efficacy in the management of various conditions. Despite its growing popularity, EM remains controversial and encounters several barriers to its recognition and acceptance by the medical fraternity. This paper provides a comprehensive overview of the concept and practice of EM including its history, various types, mechanism of action, applications, driving factors for its practice, current status and future prospects. Putative types of EM modalities are the focus of this paper. Additionally, we examine the challenges to its widespread recognition and acceptance and discuss the importance of further rigorous scientific research to establish its efficacy and safety and bridge the gap between conventional and energy medicine.

Modality Realization in Covid-19 Academic Papers

Modalities are often used in both spoken and written material. However, people only know the modalities and values manifested in academic written texts once they conduct a study. This research aims to analyze the form and matter of modalities and investigate how these modalities are realized in Covid-19 scholarly articles. This research uses descriptive qualitative research methods and Halliday's theory. The data consists of clauses of six COVID-19 social and political journal articles on various topics, such as (social, economic, political, health, communication, and tourism). Data collection was carried out using a documentary approach. The model used in this research is interactive. The data analysis technique uses qualitative descriptive analysis. Based on the findings of this research, 260 clauses contain modality, and two types of modality are used in them. This research also found the realization of modality as a capital operator that is often used in Covid-19 academic papers, as it is. Found 238 capital operators. Apart from that, authors generally use limited modal operators in their articles because there are 238 modal operators located, and this is followed by additional modals with a total of 18. On the other hand, passive verb predicators and adjectives are rarely found.

Self-determined sequence exercise program for elderly with sarcopenia: A Randomized controlled trial with clinical assistance from explainable artificial intelligence

To improve and even reverse sarcopenia in elderly people, this study developed a self-determined sequence exercise program consisting of strength training exercise, Yijinjing exercise (a traditional Chinese exercise), and hybrid strength training with Yijinjing exercise. Ninety-four community-dwelling older adults screened for sarcopenia using the Asian Working Group for Sarcopenia criteria were randomly assigned to 24 weeks of a control group (CG, n = 30), self-determined sequence exercise program group (SDSG, n = 34) or strength training group (STG, n = 30). The study examined the effects of three interventions on participantsL3 skeletal muscle fat density, L3 skeletal muscle fat area, L3 skeletal muscle density, L3 skeletal muscle area, muscle fat infiltration, relative skeletal muscle mass index, and grip strength using a repeated-measures ANOVA to evaluate the experimental data. To evaluate the real effect of this model in reversing sarcopenia after the intervention, nine classification models were trained. Significant interaction effects were observed with grip strength, RSMI, L3 SMD, and L3 SMA. At the 24th week, participants’ grip strength, L3 SMFA, L3 SMA, and RSMI were improved significantly in the SDSG and STG. The SDSG achieved significantly greater RSMI and grip strength than the STG and CG after the intervention. The self-determined sequence exercise program exhibited better performance than the single type of exercise modality in reversing sarcopenia and improving older adults’ skeletal muscle area. Consequently, the stacking model is feasible to make a prediction as to whether or not sarcopenia may be reversed in older adults.

Hybrid Therapies for Supporting Critically Ill Patients with Acute Kidney Injury: When, how, and for Whom?

Acute kidney injury (AKI) is common in critically ill patients. There is no specific pharmacological treatment for established severe AKI. Therefore, the conventional therapeutic strategy is limited to the use of kidney replacement therapy (KRT) to maintain homeostasis. Hybrid therapies optimize the advantages of intermittent and continuous modalities of KRT, combining lower hourly efficiency, longer application time, at lesser cost, but also adding different physicochemical principles of extracorporeal clearance. The sum of convection and diffusion, with or without adsorption or apheresis, and in different time combinations gives hybrid techniques great flexibility in prescribing a personalized treatment adapted to the needs of each patient at any given time. Hybrid therapies are increasingly being used due to their flexibility, which is determined by the combination of equipment, membranes, and available resources (machines and health-care personnel experience). The required technology is widely available in most intensive care units and uses low-cost consumables compared to other types of AKI treatment modalities, favoring its widespread use. Hybrid therapies are feasible and provide a viable form of KRT, either alone or as a transition therapy from continuous kidney replacement therapy to intermittent hemodialysis. (Rev Invest Clin. 2023;75(6):337-47).

Mood without Modality: An outline of an 'amodal' approach to the Italian subjunctive

This paper aims to propose a novel approach to the Italian subjunctive that surpasses traditional modalinterpretations. Rather than conveying a given type of modality (such as irrealis), this paper argues that thesubjunctive is better understood as designating two semantic types: a so-called 'State-of-Affairs' or a'proposition'. By shifting the focus from modality to semantic types, this approach can account for a widerrange of the subjunctive's usages, including complements of implicatives, such as fare 'make' and capitare'happen', that modal approaches have failed to fully account for.

Mapping Evidence-Based Non-Opioid and Non-Pharmacological Pain Management Modalities Across Minnesota: The Non-Opioid Pain Alleviation Information Network Project.

Objective: The Non-Opioid Pain Alleviation Information Network (NOPAINMN) project was designed to identify, consolidate, and map evidence-based non-opioid and non-pharmacological pain management complementary and integrative health (CIH) modalities for chronic pain management across Minnesota into a searchable and informational website (www.nopainmn.org ). Methods: The Academic Consortium for Integrative Medicine & Health's Pain Task Force White Paper identifying evidence-based research of non-pharmacological pain practice (NPPC) was reviewed and referenced. National and state certifying boards and accrediting organizations for NPPC modalities were accessed to identify Minnesota-based NPPC providers' name, business/health-system affiliation, address, contact information, and credentials. The NOPAINMN website displays these data in a consumer-facing website with searchable fields such as NPPC modality type, and location with varying distances. The website was β-tested by practitioners and stakeholders for optimization. Eight main NPPC modalities and their respective subcategories were identified and mapped: Acupuncture; Integrative Medical Care (Functional medicine consultation and Integrative medicine consultation); Massage Therapy; Mind-Body Therapies (Biofeedback, Clinical Hypnosis, Mindfulness-Based Stress Reduction, and Music Therapy); Movement Therapies (Tai Chi, qigong, and Yoga Therapy); Psychology (Cognitive Behavioral Therapy); Rehabilitative Therapies (Physical and Occupational Therapy); and Spinal Manipulation. Results: All information compiled resulted in 17,155 providers/practitioners. Physical Therapy had the greatest number of reported providers (n = 5224), followed by Occupational Therapy (n = 3792), Psychology (n = 3324), Chiropractic (n = 3033), Acupuncture (n = 591), and Massage Therapy (n = 544). The Resource Map included 56 major health systems, 686 facilities, 2651 solo or private group practices, and 14 academic training schools. With web-based cross-referencing, providers and facilities were affiliated and linked with health systems to produce an interconnected mapping system. β-Testing with patients found that the website was reported as relatively easy to use and informative. Conclusion: The website was created to assist individuals, health care providers, insurance carriers, and health care facilities in finding evidence-based information and resources on NPPC to guide, support, and proactively manage and engage chronic pain patients across Minnesota.

Evaluation and Management of Sudden Death Risk in Repaired Tetralogy of Fallot.

Although substantial progress has been made to prevent sudden cardiac death in repaired tetralogy of Fallot patients, ventricular arrhythmia and sudden death continue to be major causes of morbidity and mortality in these patients. Greater survival in contemporary cohorts has been attributed to enhanced surgical techniques, more effective management of heart failure, and increased efforts in risk stratification and management of ventricular arrhythmias. More recently, our understanding of predictive risk factors has evolved into personalized risk prediction tools that rely on comprehensive demographic, imaging, functional, and electrophysiological data. However, the universal applicability of these different scoring systems is limited due to differences between study cohorts, types of anatomic repair, imaging modalities, and disease complexity. Noninvasive risk stratification is critical to identify those who may derive benefit from catheter ablation or cardioverter defibrillator implantation for primary prevention. Ultimately, assessment and risk stratification by a multidisciplinary team is crucial to analyze the various complex factors for every individual patient and discuss further options with patients and their families.

Classification of hyper-scale multimodal imaging datasets

Algorithms that classify hyper-scale multi-modal datasets, comprising of millions of images, into constituent modality types can help researchers quickly retrieve and classify diagnostic imaging data, accelerating clinical outcomes. This research aims to demonstrate that a deep neural network that is trained on a hyper-scale dataset (4.5 million images) composed of heterogeneous multi-modal data can be used to obtain significant modality classification accuracy (96%). By combining 102 medical imaging datasets, a dataset of 4.5 million images was created. A ResNet-50, ResNet-18, and VGG16 were trained to classify these images by the imaging modality used to capture them (Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and X-ray) across many body locations. The classification accuracy of the models was then tested on unseen data. The best performing model achieved classification accuracy of 96% on unseen data, which is on-par, or exceeds the accuracy of more complex implementations using EfficientNets or Vision Transformers (ViTs). The model achieved a balanced accuracy of 86%. This research shows it is possible to train Deep Learning (DL) Convolutional Neural Networks (CNNs) with hyper-scale multimodal datasets, composed of millions of images. Such models can find use in real-world applications with volumes of image data in the hyper-scale range, such as medical imaging repositories, or national healthcare institutions. Further research can expand this classification capability to include 3D-scans.

Prognostic factors in young women with epithelial ovarian cancer: the Young Ovarian Cancer-Care (YOC-Care) study

ObjectiveTo determine oncological outcomes and to identify prognostic factors in women aged <45 years with epithelial ovarian cancer.MethodsA multicenter retrospective study was performed of patients treated for epithelial ovarian cancer...

Type of Surgeries and Modalities for Post Operative Pain Management in a Secondary Healthcare Institute

Type of Surgeries and Modalities for Post Operative Pain Management in a Secondary Healthcare Institute

Performance on a target acquisition task differs between augmented reality and touch screen displays

Target acquisition tasks quantify human motor and perceptual abilities while performing discrete tasks to support interface design and sensorimotor assessments. This study investigated the effects of display, Touchscreen and Augmented Reality (AR), on a standardized 2D multidirectional target acquisition task. Thirty-two participants performed the target acquisition task with both modality types and at two indexes of difficulty. The touchscreen modality yielded improved performance over AR as measured by accuracy, precision, error rates, throughput, and movement time. Throughput using the nominal index of difficulty was 10.12 bits/s for touchscreen and 3.11 bits/s for AR. AR designers can use the results to improve performance when designing AR interfaces by selecting larger buttons when accuracy and efficiency are required and by embedding perception cues to button target surfaces such as depth and proximity cues.

Opposing brain signatures of sleep in task-based and resting-state conditions

Sleep and depression have a complex, bidirectional relationship, with sleep-associated alterations in brain dynamics and structure impacting a range of symptoms and cognitive abilities. Previous work describing these relationships has provided an incomplete picture by investigating only one or two types of sleep measures, depression, or neuroimaging modalities in parallel. We analyze the correlations between brainwide neural signatures of sleep, cognition, and depression in task and resting-state data from over 30,000 individuals from the UK Biobank and Human Connectome Project. Neural signatures of insomnia and depression are negatively correlated with those of sleep duration measured by accelerometer in the task condition but positively correlated in the resting-state condition. Our results show that resting-state neural signatures of insomnia and depression resemble that of rested wakefulness. This is further supported by our finding of hypoconnectivity in task but hyperconnectivity in resting-state data in association with insomnia and depression. These observations dispute conventional assumptions about the neurofunctional manifestations of hyper- and hypo-somnia, and may explain inconsistent findings in the literature.

Modality Exploration, Retrieval and Adaptation for Trajectory Prediction.

Predicting future trajectories of dynamic agents is inherently riddled with uncertainty. Given a certain historical observation, there are multiple plausible future movements people can perform. Notably, these possible movements are usually centralized around a few representative motion patterns, e.g. acceleration, deceleration, turning, etc. In this paper, we propose a novel prediction scheme which explores human behavior modality representations from real-world trajectory data to discover such motion patterns and further uses them to aid in trajectory prediction. To explore potential behavior modalities, we introduce a deep feature clustering process on trajectory features and each cluster can represent a type of modality. Intuitively, each modality is naturally a class, and a classification network can be adopted to retrieve highly probable modalities about to happen in the future according to historical observations. On account of a wide variety of cues existing in the observation (e.g. agents' motion states, semantics of the scene, etc.), we further design a gated aggregation module to fuse different types of cues into a unified feature. Finally, an adaptation process is proposed to adapt a certain modality to specific historical observations and generate fine-grained prediction results. Extensive experiments on four widely-used benchmarks show the superiority of our proposed approach.

Patient Adherence to Oral Anticancer Agents: A Mapping Review of Supportive Interventions.

The development and use of oral anticancer agents (OAAs) continue to grow, and supporting individuals on OAAs is now a priority as they find themselves taking these drugs at home with little professional guidance. This mapping review provides an overview of the current evidence concerning OAA-supportive adherence interventions, identifying potential gaps, and making recommendations to guide future work. Four large databases and the grey literature were searched for publications from 2010 to 2022. Quantitative, qualitative, mixed-method, theses/dissertations, reports, and abstracts were included, whereas protocols and reviews were excluded. Duplicates were removed, and the remaining publications were screened by title and abstract. Full-text publications were assessed and those meeting the inclusion criteria were retained. Data extracted included the year of publication, theoretical underpinnings, study design, targeted patients, sample size, intervention type, and primary outcome(s). 3175 publications were screened, with 435 fully read. Of these, 314 were excluded with 120 retained. Of the 120 publications, 39.2% (n = 47) were observational studies, 38.3% (n = 46) were quasi-experimental, and 16.7% (n = 20) were experimental. Only 17.5% (n = 21) were theory-based. Despite the known efficacy of multi-modal interventions, 63.7% (n = 76) contained one or two modalities, 33.3% (n = 40) included 3, and 3.3% (n = 4) contained four types of modalities. Medication adherence was measured primarily through self-report (n = 31) or chart review/pharmacy refills (n = 28). Given the importance of patient tailored interventions, future work should test whether having four intervention modalities (behavioral, educational, medical, and technological) guided by theory can optimize OAA-related outcomes.

A case of complex asphyxia sheds light on problems in the classification of asphyxias

Death from positional asphyxia is often an accidental event occurring when the victim’s body assumes a position which can compromise an effective respiration. Its diagnosis is usually not simple, because it needs to know the exact circumstance in which the body was found and the original positioning of all the body segments. In this case, a 41-year-old man with a history of opioid drugs abuse was found dead in a knee-chest position; the head was down on the floor with the face resting on a plastic bag. Pictures of the scene of death was taken while the body was still in its original position. At first, the main suspicion was that of a fatal overdose. Following the autopsy examination, completed by histological and toxicological examinations, the cause of death was determined as postural asphyxia secondary to intoxication by methadone, in the presence of ischemic heart disease. Some features, moreover, were typical of the death in head down position, and the prolonged knee-chest position was also associated with the obstruction of mouth and nose by the plastic bag, which may have contributed to the asphyxiation. These cases of “combined” asphyxia represent a challenge for the current classifications of asphyxia, which are very variable and not standardized, as we observe from a brief review of the literature. The elaboration of new systems of classification for asphyxias, which must be clear, simple and shareable, is necessary to avoid confusion in categorizing cases that present overlapping between several types of asphyxiation modalities.

Laryngeal office-based procedures: A safe approach

PurposeLaryngeal surgeries using a flexible nasopharyngoscope equipped with an operative channel has gained popularity, with gradual increase in the variety of interventional office-based procedures, under local anesthesia. The purpose of this study is to analyze the tolerance of such procedures. Materials and methodsRetrospective cohort study. 337 cases were performed during 2 years. We collected the following data: type of pathology, type of procedure and modalities of anesthesia, adverse events. Results19 % of the visits were for the purpose of Biopsy, 65 % for an injection, and Trublue Laser was utilized in 12 % of the procedures. Regarding the pathologies, 27 % were vocal fold paralysis, 18 % leukoplakia or another suspicious lesion, 15 % recurrent respiratory papillomatosis, 13 % neuromuscular disorder, 9 % vocal fold scarring, 7 % vocal cord atrophy and 6 % had an inflammatory presentation. Side effects were documented in 26 visits (7.7 %) and were minor in almost all the encounters: they included strong reflexive cough, deep throat pain, discomfort, gag reflex, anxiety, vagal discomfort, malaise, hypersalivation, nose pain, labile hypertension. More severe side effects were very rare and included septal wound and epistaxis, erythematous rash, dyspnea, and transient dysarthria. 13 procedures were either aborted, or canceled at initial steps, due to inability of the patient to tolerate the procedure and were rescheduled for general anesthesia. 97 % of the cases were released home after 1 h of surveillance. ConclusionOffice-based flexible interventional laryngoscopy under local anesthesia is a safe and well-tolerated procedure, with abundance of various interventions feasible on ambulatory, office-based setup.

A Complete V-Equational System for Graded lambda-Calculus

Modern programming frequently requires generalised notions of program equivalence based on a metric or a similar structure. Previous work addressed this challenge by introducing the notion of a V-equation, i.e. an equation labelled by an element of a quantale V, which covers inter alia (ultra-)metric, classical, and fuzzy (in)equations. It also introduced a V-equational system for the linear variant of lambda-calculus where any given resource must be used exactly once. In this paper we drop the (often too strict) linearity constraint by adding graded modal types which allow multiple uses of a resource in a controlled manner. We show that such a control, whilst providing more expressivity to the programmer, also interacts more richly with V-equations than the linear or Cartesian cases. Our main result is the introduction of a sound and complete V-equational system for a lambda-calculus with graded modal types interpreted by what we call a Lipschitz exponential comonad. We also show how to build such comonads canonically via a universal construction, and use our results to derive graded metric equational systems (and corresponding models) for programs with timed and probabilistic behaviour.Comment: Conference paper accepted at MFPS'23. Omitted proofs can be found in arXiv:2304.02082v1

Combiner and HyperCombiner networks: Rules to combine multimodality MR images for prostate cancer localisation

One of the distinct characteristics of radiologists reading multiparametric prostate MR scans, using reporting systems like PI-RADS v2.1, is to score individual types of MR modalities, including T2-weighted, diffusion-weighted, and dynamic contrast-enhanced, and then combine these image-modality-specific scores using standardised decision rules to predict the likelihood of clinically significant cancer. This work aims to demonstrate that it is feasible for low-dimensional parametric models to model such decision rules in the proposed Combiner networks, without compromising the accuracy of predicting radiologic labels. First, we demonstrate that either a linear mixture model or a nonlinear stacking model is sufficient to model PI-RADS decision rules for localising prostate cancer. Second, parameters of these combining models are proposed as hyperparameters, weighing independent representations of individual image modalities in the Combiner network training, as opposed to end-to-end modality ensemble. A HyperCombiner network is developed to train a single image segmentation network that can be conditioned on these hyperparameters during inference for much-improved efficiency. Experimental results based on 751 cases from 651 patients compare the proposed rule-modelling approaches with other commonly-adopted end-to-end networks, in this downstream application of automating radiologist labelling on multiparametric MR. By acquiring and interpreting the modality combining rules, specifically the linear-weights or odds ratios associated with individual image modalities, three clinical applications are quantitatively presented and contextualised in the prostate cancer segmentation application, including modality availability assessment, importance quantification and rule discovery.

Global research hotspots and trends in exercise interventions for rheumatoid arthritis over the past two decades: A bibliometric and visualization study.

Rheumatoid arthritis (RA) is a prolonged multifactorial autoimmune disease of unknown etiology. With the global population aging, the incidence of RA is increasing, highlighting the need for more effective treatments. Exercise interventions have been recognized as safe and effective for managing pain, improving function, and reducing fatigue in RA patients. However, the existing literature in this field lacks a thorough, organized, and clear line of analysis. In this study, we conducted a comprehensive analysis of the 20-year literature on exercise interventions for RA, aiming to identify hotspots and cutting-edge trends. Our objective is to provide subsequent researchers with valuable ideas and references. Using Cite Space, VOS viewer, and R-bibliometrix software for visualization and analysis, we compiled the main dataset from the web of science database, consisting of 1790 articles on exercise interventions in RA published between 2000 and 2023. Among these articles, the United States contributed the highest number of papers (433), while Karolinska Institutet ranked first institutionally with 90 papers. The study focused on the keyword's quality of life, cardiovascular disease, aerobic exercise, social support, psychology, and multidisciplinary care. The research highlighted the importance of clinical efficacy studies that investigate different types of exercise modalities (cardiorespiratory aerobic, resistance, aquatic, and neurological) either alone or in combination, to improve pain and function and reduce cardiovascular disease risk in patients with RA. Additionally, sedentary behavior, fatigue, and multidisciplinary care were identified as potential areas for further research. Overall, this study provides a scientific perspective on exercise interventions for RA and offers valuable insights for academics, funding organizations, and policymakers.