Temporal Criteria Research Articles

Perceived Pain in People Living with Amyotrophic Lateral Sclerosis-A Scoping Review.

(1) Background: Pain is a common symptom in patients with Amyotrophic Lateral Sclerosis (ALS). There are no evidence-based pharmacological treatments for pain in ALS; recommendations are based on guidelines for chronic non-oncological pain and clinical experience. The aim is to map the literature on how people with ALS experience pain, and how this affects their daily activities and social relationships. (2) Methods: This scoping review included studies concerning patients with spinal/bulbar ALS aged ≥ 18 years who experience pain, focusing on perception, characteristics, treatment, and impact on quality of life. Temporal and linguistic criteria were applied when searching the MEDLINE, CINAHL, and SCOPUS databases. (3) Results: The management of pain in these patients is complex and involves the use of anti-inflammatory drugs, analgesics, and opioids. Pain is associated with other conditions such as depression and anxiety, which contribute to a deterioration in the quality of life. Moreover, pain may also negatively influence patient compliance with prescribed treatment regimens and the quality of care they perceive themselves to be receiving. (4) Conclusions: It is of the most importance to identify effective ways to assess and treat this issue, with health care professionals taking an active role in this process.

Recognizing social forestry's role in bioenergy optimization through geospatial fuzzy-multicriteria analysis

Current bioenergy development has emphasized on degraded land, since the sustainability of bioenergy in the forest sector remains a subject of debate related with emissions and deforestation risk. Thus, this study aims to open new perspectives of how degraded land and social forestry can be potentially combined to significantly impact the energy transition and environmental-societal enhancement. Considering sustainability of Bali as a small island with its unique customary governance structure, a model of biomass energy optimization using geospatial fuzzy-multicriteria analysis was developed to select potential green energy source sites. Firstly, potential degraded land and social forestry were mapped to identify potential feedstock, then normalized using Euclidian Distance and Fuzzy Logic based on identified five sustainability criteria. They are availability of raw material, road, port, transmission, and demand proximities. Meanwhile, using identified three restriction criteria, i.e. protected area, slope and land-use restrictions, a restriction map was developed. The two maps were then integrated using Geospatial-based multicriteria analysis, fuzzy logic and Analytical Hierarchy Process (AHP) weighting method, to further identify potential green energy source map. The integration shown a significant increase of 60 % in land availability for bioenergy development. Results of study recognized potential 36,527 ha of degraded land; 21,671 ha of social forestry; and 40 optimal locations for bioenergy facilities, considering various spatial and temporal criteria. To conclude, the identified 120 social forestry sites in Bali involving 78,385 household provide opportunity to a community based socio-economic coupled with revitalizing environment efforts, which lead to massive net zero emissions community participation. Further, the integration of social forestry and degraded land should be highly recommended to policy maker in bioenergy development.

Truth unveiled by time and the marbled definition of D2T-RA: retrospective analysis on the persistence of the difficult-to-treat status among refractory RA patients

BackgroundThe current EULAR definition of difficult-to-treat rheumatoid arthritis (D2T-RA) identifies patients with active disease refractory to multiple treatments at a single time point, without considering the persistence of this condition over time. The study aimed to assess difficult-to-treat rheumatoid arthritis (D2T-RA) over 12 months, considering persistence over time rather than a single time point, in a real-life cohort.MethodsIn a single-center real-life cohort, demographic and clinic data were cross-sectionally collected for each patient at baseline and retrospectively over the previous 12 months bimonthly. For each timepoint, the prevalence of D2T-RA patients was calculated, and patients meeting the EULAR definition for at least 6 months were defined as persistent D2T-RA (pD2T-RA). Finally, the clinical characteristics associated with the time-based definition of pD2T-RA were analyzed.ResultsAmong 610 adult RA patients, 104 were refractory to ≥ 2 treatments. Initially, 41.3% met D2T-RA criteria, but only 27.9% fulfilled persistent D2T-RA (pD2T-RA) criteria over 6 months. The pD2T-RA group was associated with male gender, higher HAQ and Charlson Comorbidity Index scores, more failed treatments, and use of non-NSAID analgesics. Logistic regression linked pD2T-RA to higher SDAI and CRP values, and the use of glucocorticoids or analgesics. Chronic use of glucocorticoids was strongly associated with pD2T-RA.ConclusionsThe application of a temporal criterion allowed for the selection of a subgroup of pD2T-RA patients who differ from those who meet the definition of D2T-RA only episodically. Chronic use of glucocorticoids was the factor most strongly associated with pD2T-RA status.

Using autonomous recording units to identify and monitor western yellow‐billed cuckoo habitat

AbstractAutonomous recording units (ARUs) paired with signal classification software can be used to detect species‐specific calls, making them useful for evaluating patterns in avian occurrence and activity. However, classification of target signals is not always reliable and may be especially challenging for species that vocalize infrequently. We assessed the use of ARUs to identify and monitor habitat for a cryptic and federally threatened distinct population segment, the western yellow‐billed cuckoo (Coccyzus americanus) in mountainous xeroriparian drainages. Using Kaleidoscope Pro, we developed a call‐classifier and processed acoustic data collected in sites also surveyed using traditional human‐observer methods, applying the same spatial and temporal detection criteria to estimate breeding territories for each method. The classifier detected a total of 4,061 true positive calls at 4 sites, had an overall precision score of 0.07, recall score of 0.09, and F‐score (beta = 1) of 0.08, indicating high false positive and false negative classification rates. Our results were, however, consistent with other ARU studies of rare and cryptic species and ARUs estimated occupancy as effectively as human surveys with as little as 2 hours of daily recording. Total detections varied among sites, likely due to differences in cuckoo population densities and the interaction between topography and ARU detection space. Our results suggest that despite performance shortcomings of call‐classifiers, ARUs can be effective for monitoring cuckoos, with potential for providing higher resolution temporal and spatial information on activity and habitat use and may be particularly effective in remote locations where cuckoos often occur.

A scalable and transparent data pipeline for AI-enabled health data ecosystems.

Transparency and traceability are essential for establishing trustworthy artificial intelligence (AI). The lack of transparency in the data preparation process is a significant obstacle in developing reliable AI systems which can lead to issues related to reproducibility, debugging AI models, bias and fairness, and compliance and regulation. We introduce a formal data preparation pipeline specification to improve upon the manual and error-prone data extraction processes used in AI and data analytics applications, with a focus on traceability. We propose a declarative language to define the extraction of AI-ready datasets from health data adhering to a common data model, particularly those conforming to HL7 Fast Healthcare Interoperability Resources (FHIR). We utilize the FHIR profiling to develop a common data model tailored to an AI use case to enable the explicit declaration of the needed information such as phenotype and AI feature definitions. In our pipeline model, we convert complex, high-dimensional electronic health records data represented with irregular time series sampling to a flat structure by defining a target population, feature groups and final datasets. Our design considers the requirements of various AI use cases from different projects which lead to implementation of many feature types exhibiting intricate temporal relations. We implement a scalable and high-performant feature repository to execute the data preparation pipeline definitions. This software not only ensures reliable, fault-tolerant distributed processing to produce AI-ready datasets and their metadata including many statistics alongside, but also serve as a pluggable component of a decision support application based on a trained AI model during online prediction to automatically prepare feature values of individual entities. We deployed and tested the proposed methodology and the implementation in three different research projects. We present the developed FHIR profiles as a common data model, feature group definitions and feature definitions within a data preparation pipeline while training an AI model for "predicting complications after cardiac surgeries". Through the implementation across various pilot use cases, it has been demonstrated that our framework possesses the necessary breadth and flexibility to define a diverse array of features, each tailored to specific temporal and contextual criteria.

Deep Learning Approaches for Power Prediction in Wind–Solar Tower Systems

Wind–solar towers are a relatively new method of capturing renewable energy from solar and wind power. Solar radiation is collected and heated air is forced to move through the tower. The thermal updraft propels a wind turbine to generate electricity. Furthermore, the top of the tower’s vortex generators produces a pressure differential, which intensifies the updraft. Data were gathered from a wind–solar tower system prototype developed and established at Kyushu University in Japan. Aiming to predict the power output of the system, while knowing a set of features, the data were evaluated and utilized to build a regression model. Sensitivity analysis guided the feature selection process. Several machine learning models were utilized in this study, and the most appropriate model was chosen based on prediction quality and temporal criteria. We started with a simple linear regression model but it was inaccurate. By adding some non-linearity through using polynomial regression of the second order, the accuracy increased considerably sufficiently. Moreover, deep neural networks were trained and tested to enhance the power prediction performance. These networks performed very well, having the most powerful prediction capabilities, with a coefficient of determination R2=0.99734 after hyper-parameter tuning. A 1-D convolutional neural network achieved less accuracy with R2=0.99647, but is still considered a competitive model. A reduced model was introduced trading off some accuracy (R2=0.9916) for significantly reduced data collection requirements and effort.

An Analysis of the Spatial and Temporal Synergy between Profiles of Aircraft-Based Observations and Operational Radiosonde Reports over the United States

Abstract Aircraft-based observations (ABOs) are an important component of the global observation system. Observations of pressure, temperature, and wind are obtained from thousands of routine commercial flights daily via the Aircraft Meteorological Data Relay (AMDAR) program, while a subset of approximately 145 aircraft globally (and 135 within the conterminous United States) also produces observations of water vapor from the Water Vapor Sensing System–II (WVSS–II). Aircraft equipped with WVSS–II provide the basic parameters as radiosonde observations throughout most of the troposphere, often at higher temporal and spatial frequency. Since these aircraft are operated according to the demands of passenger and cargo, the availability of aircraft profiles varies significantly in space and time, with more profiles during daytime and early evening than overnight, more profiles on weekdays than weekends, and more during the summer months. The number of available profiles was significantly impacted by reductions in travel during the COVID-19 pandemic but has recovered substantially. The potential for aircraft profiles to support the operational radiosonde network is explored, including the effect of various spatial and temporal matching criteria. Radiosonde launches at 0000 UTC that are well aligned with aircraft profiles are found across the conterminous United States, but well-covered 1200 UTC launches are strongly biased to the east. ABO coverage of asynoptic launch times is also explored. The busiest sites usually have multiple compatible aircraft profiles at both synoptic and asynoptic times. This redundancy lends robustness to the observation network and enables forecasters to monitor atmospheric evolution more continuously throughout the day. Significance Statement Some commercial aircraft make the same observations as weather balloons, but there is not a good record of how frequently these observations are made at specific locations. This paper does a census of where the airplane profile observations are most likely to be found and shows where they are duplicating weather balloon observations and where they are filling in the gaps in the weather balloon network.

Aproximación práctica para la caracterización de la miocardiopatía auricular en pacientes con fibrilación auricular

Atrial fibrillation (AF) causes progressive structural and electrical changes in the atria that can be summarized within the general concept of atrial remodeling. In parallel, other clinical characteristics and comorbidities may also affect atrial tissue properties and make the atria susceptible to AF initiation and its long-term persistence. Overall, pathological atrial changes lead to atrial cardiomyopathy with important implications for rhythm control. Although there is general agreement on the role of the atrial substrate for successful rhythm control in AF, the current classification oversimplifies clinical management. The classification uses temporal criteria and does not establish a well-defined strategy to characterize the individual-specific degree of atrial cardiomyopathy. Better characterization of atrial cardiomyopathy may improve the decision-making process on the most appropriate therapeutic option. We review current scientific evidence and propose a practical characterization of the atrial substrate based on 3 evaluation steps starting with a clinical evaluation (step 1), then assess outpatient complementary data (step 2), and finally include information from advanced diagnostic tools (step 3). The information from each of the steps or a combination thereof can be used to classify AF patients in 4 stages of atrial cardiomyopathy, which we also use to estimate the success on effective rhythm control.

Impairment of lung volume perception and breathing control in hypermobile Ehlers-Danlos syndrome

Breathing difficulties and exertional dyspnea are frequently reported in hypermobile Ehlers-Danlos syndrome (hEDS); however, they are not clearly explained. An impaired proprioception or the addition of a cognitive task could influence ventilatory control. How can the perception of lung volume be measured? Is lung volume perception impaired in hEDS patients? Is the breathing control impaired during a cognitive task in hEDS patients? A device was developed to assess the accuracy of lung volume perception in patients with hEDS and matched control subjects. In the second step, ventilation was recorded in both groups with and without a cognitive task. Two groups of 19 subjects were included. The accuracy of lung volume perception was significantly (P < 0.01) lower at 30% of inspired vital capacity in patients with hEDS in comparison to the control group, and they showed erratic ventilation (based on spatial and temporal criteria) when performing a cognitive task. These data support the influence of the proprioceptive deficit on ventilatory control in hEDS patients. These elements may help to understand the respiratory manifestations found in hEDS. Future research should focus on this relationship between lung volume perception and ventilation, and could contribute to our understanding of other pathologies or exercise physiology.Trial registration number: ClinicalTrials.gov, NCT05000151.

A nosological approach to brief psychotic disorders and acute and transient psychoses

IntroductionAcute and transient psychoses (International Classification of Diseases) and Brief Psychotic Disorders (Diagnostic and Statistical Manual of Mental Disorders) constitute heterogeneous nosological groups, which have undergone successive reformulations in the past decades, remaining doubts regarding their diagnostic validity and independence.ObjectivesThis work aims to review the nosological evolution of these complex and neglected groups.MethodsA review of the literature was conducted using PubMed and The Cochrane Library. The following terms were used: “acute and transient psychoses”; “brief psychotic disorders”; “cycloid psychosis”; “reactive psychosis”.ResultsSince the early 20th century, a group of non-affective psychoses with acute onset and brief duration have been described in different countries and under various names, such as bouffeé delirante, reactive psychosis or cycloid psychosis, denominations still present in ICD-9. In presente-day classifications, as ICD-10 and DSM-IV, an effort was made to homogenise the various regional and national concepts creating the group of ‘Brief Psychoses’ (DSM) or ‘Acute and Transient Psychotic Disorders’ (ICD). The marked heterogeneity and low diagnostic stability of these groups, mainly based on temporal criteria, has posed significant obstacles to further research and conceptualization. Given these difficulties, the latest revision of the International Classification of Diseases (ICD-11) brought about a substantial change, restricting this diagnosis to polymorphic psychotic conditions of acute onset and rapid resolution, subgroup with greater diagnostic stability and characteristics distinct clinical features.ConclusionsThe relevance of a better clarification for this nosological group is evident in the successive changes over the last century. ICD 11, once again, substantially changed the diagnostic criteria and the scope of this nosological entity, leaving doubts about the independent nature of this group, its connection to schizophrenia, as an attenuated form (more common in women and in developing countries), or even as a form of psychosis that is closer to affective disorders (due to its clinical evolution). Although little explored, this issue remains a source of doubt and interest, calling into question the Kraepelinian dichotomy for the so-called endogenous psychoses.Disclosure of InterestNone Declared

Molecular Design and Spodumene Flotation-A Review.

Spodumene flotation stands as the most commonly used method to concentrate lithium minerals. However, it faces significant challenges related to low collector recoveries and similarity in the surface characteristics of the minerals, which make the effective separation of this valuable mineral difficult. For this reason, numerous researchers have conducted studies to address and confront this problem. In this work, an exhaustive bibliographic search was carried out using keywords and search queries, and the results were structured in three sections according to temporal, methodological, and thematic criteria. The first section covers the period from 1950 to 2004, focusing on experimental tests. The second section covers from 2004 to the present and focuses on flotation tests and measurement analysis. Simultaneously, the third section spans from 2011 to the present and is based on molecular dynamics simulations. Topics covered include spodumene surface properties, the influence of metal ions, pre-treatment techniques, and the use of collectors. Ultimately, molecular dynamics simulations are positioned as a tool that accurately represents experimental phenomena. In this context, specialized software such as Materials Studio or Gromacs prove to be reliable instruments that allow a detailed study of mineral surfaces and other elements to be carried out, which justifies their consideration for future research in this scientific field.

Practical approach for atrial cardiomyopathy characterization in patients with atrial fibrillation

Atrial fibrillation (AF) causes progressive structural and electrical changes in the atria that can be summarized within the general concept of atrial remodeling. In parallel, other clinical characteristics and comorbidities may also affect atrial tissue properties and make the atria susceptible to AF initiation and its long-term persistence. Overall, pathological atrial changes lead to atrial cardiomyopathy with important implications for rhythm control. Although there is general agreement on the role of the atrial substrate for successful rhythm control in AF, the current classification oversimplifies clinical management. The classification uses temporal criteria and does not establish a well-defined strategy to characterize the individual-specific degree of atrial cardiomyopathy. Better characterization of atrial cardiomyopathy may improve the decision-making process on the most appropriate therapeutic option. We review current scientific evidence and propose a practical characterization of the atrial substrate based on 3 evaluation steps starting with a clinical evaluation (step 1), then assess outpatient complementary data (step 2), and finally include information from advanced diagnostic tools (step 3). The information from each of the steps or a combination thereof can be used to classify AF patients in 4 stages of atrial cardiomyopathy, which we also use to estimate the success on effective rhythm control.

Kidney replacement therapy in COVID-19-Related acute kidney injury: The impact of timing on mortality.

The objective of this study was to determine the impact of the timing of KRT, dichotomized by a temporal criterion or by creatinine level, in patients with COVID-19-related AKI. This was a retrospective study involving 512 adult patients admitted to the ICU. All participants had laboratory-confirmed COVID-19 and a confirmed diagnosis of AKI. The potential predictors were the determination of the timing of KRT based on a temporal criterion (days since hospital admission) and that based on a serum creatinine cutoff criterion. Covariates included age, sex, and the SOFA score, as well as the need for mechanical ventilation and vasopressors. The main outcome measure was in-hospital mortality. We evaluated 512 patients, of whom 69.1% were men. The median age was 64 years. Of the 512 patients, 76.6% required dialysis after admission. The overall in-hospital mortality rate was 72.5%. When the timing of KRT was determined by the temporal criterion, the risk of in-hospital mortality was significantly higher for later KRT than for earlier KRT-84% higher in the univariate analysis (OR = 1.84, 95%, [CI]: 1.10-3.09) and 140% higher after adjustment for age, sex, and SOFA score (OR = 2.40, 95% CI: 1.36-4.24). When it was determined by the creatinine cutoff criterion, there was no such difference between high and low creatinine at KRT initiation. In patients with COVID-19-related AKI, earlier KRT might be associated with lower in-hospital mortality.

Chapter 13 - Rare forms of hypomyelination and delayed myelination

Hypomyelination is defined by the evidence of an unchanged pattern of deficient myelination on two MRIs performed at least 6 months apart in a child older than 1 year. When the temporal criteria are not fulfilled, and the follow-up MRI shows a progression of the myelination even if still not adequate for age, hypomyelination is excluded and the pattern is instead consistent with delayed myelination. This can be mild and nonspecific in some cases, while in other cases there is a severe delay that in the first disease stages could be difficult to differentiate from hypomyelination. In hypomyelinating leukodystrophies, hypomyelination is due to a primary impairment of myelin deposition, such as in Pelizaeus Merzabcher disease. Conversely, myelin lack is secondary, often to primary neuronal disorders, in delayed myelination and some condition with hypomyelination. Overall, the group of inherited white matter disorders with abnormal myelination has expanded significantly during the past 20 years. Many of these disorders have only recently been described, for many of them only a few patients have been reported and this contributes to make challenging the diagnostic process and the interpretation of Next Generation Sequencing results. In this chapter, we review the clinical and radiologic features of rare and lesser known forms of hypomyelination and delayed myelination not mentioned in other chapters of this handbook.

Interpreting oral conditions of the past: biocultural factors affecting Gran Canaria’s population between the fifteenth and eighteenth centuries (Canary Islands, Spain)

The European colonization of the Canary Islands was accompanied by new farming and food processing techniques as well as new dietary patterns. The current study sheds light on the impact of these new techniques and foodstuffs by delving into the oral conditions of members of this society in this timeframe. The analyses of the oral conditions of 85 adults of the Modern Era of Gran Canaria combined with spatial, temporal, and sex criteria led to identifying a paleodietary profile characteristic of this population. This pattern served to evaluate differences among other populations of the archipelago such as the earlier Indigenous Period of Gran Canaria and the Modern Era populations of the neighboring islands of Tenerife and Lanzarote. This study reveals a high prevalence of caries, dental calculus, and antemortem tooth loss, notably along the lines of sex. Comparisons between the different Indigenous and the Modern populations also point to statistical differences between dental caries and heavy macrowear. The Gran Canaria’s Modern Era population had a carbohydrate-rich diet compatible with the intake of cereal and sugar cane products. Oral conditions among males were likely influenced by the newly introduced consumption of tobacco. The results also confirm that the European colonization strongly altered the dietary patterns and food processing techniques inherited from the Indigenous Period. Finally, the comparisons of the Modern Era populations of the three islands of the archipelago reveal an asymmetry between dietary patterns and food processing techniques from one island to another.

Characteristics of difficult-to-treat axial spondyloarthritis: Results of a real-world multicentric study

ObjectiveThe EULAR task force recently published the difficult-to-treat RA (D2T RA) definition, however, a definition of D2T axSpA is still lacking and limitations in this definition exist. The objectives were to study the characteristics of D2T axSpA patients using the EULAR definition and to study a subgroup of patients with a predefined more stringent definition including a temporal criterion. MethodsA multicentric retrospective study was performed. D2T axSpA was defined as failure of≥2 b/tsDMARDs with different mechanism of action. Very D2T axSpA was defined as failure of≥2 b/tsDMARDs in less than 2 years of follow-up. D2T and Very D2T axSpA patients were compared to non-D2T (nD2T) axSpA patients. ResultsThree hundred and eleven axSpA patients were included: 88 D2T axSpA (28.3%) and 223 non-D2T (nD2T) axSpA (71.7%). Peripheral involvement was more prevalent in the D2T group (34.9 vs. 21.4%; P=0.015). BASDAI level at baseline was higher in the D2T group (63.7±16.5 vs. 58.8±14.7; P=0.015). Fibromyalgia was found to be more frequent in the D2T group vs nD2T group (P<0.001). Twelve patients (3.8%) were categorized as very D2T axSpA. Compared to nD2T, Very D2T patients had a higher CRP level at baseline (42.0±31.3 vs. 17.8±23.1; P=0.010). IBD prevalence at baseline was higher in the very D2T group (41.7 vs. 3.1%; P<0.001). None of the very D2T patients presented a fibromyalgia. ConclusionD2T axSpA was associated with higher disease activity, peripheral involvement, extra-musculoskeletal manifestations and fibromyalgia. Very D2T patients represented a minim proportion of patients after applying a more stringent definition including a temporal criterion of 2 years and might be independent from fibromyalgia.

The Quality of Competitive Information and Its Role in Achieving Organizational Excellence in the Palestinian Renewable-energy Companies

This study aims to show the role of the competitive-information quality in the Palestinian renewable-energy companies in achieving organizational excellence. This study used a questionnaire as a tool to collect information from the study sample which consists of 123 employees working at the Palestinian renewable-energy companies in the Gaza Strip. This study uses the comprehensive survey, putting all members of the study population as a sample under analysis. Moreover, the researchers relied on the descriptive analytical approach. The study reached that the content criterion is a higher criterion for the quality of competitive information in affecting organizational excellence than the temporal and formal criteria. The results reflected that the study population's perspective is that all of the competitive-information quality criteria are widely available at the Palestinian renewable-energy companies. The results also showed that the study population highly approved that the companies are seeking organizational excellence. The study recommended to find an information team within the Palestinian renewable-energy companies specialized in evaluating solar systems according to the criteria of competitive-information quality and its three dimensions (temporal, content and formal criteria). In other words, the higher the degrees of the criteria of quality of the competitive information, the higher the organizational excellence and vice versa.

Characteristics Of Difficult-To-Treat Psoriatic Arthritis: A Comparative Analysis

ObjectiveThe EULAR task force recently published the difficult-to-treat rheumatoid arthritis (D2T RA) criteria, however, a definition of D2T patients in psoriatic arthritis (PsA) is still lacking. To date, we have little data concerning D2T PsA, especially in real-world. One of the limitations of the D2T RA EULAR definition is the absence of a temporal criterion. The primary endpoint of this work was to study the characteristics of D2T PsA patients using the EULAR definition. The second objective was to study a sub-group of patients with a predefined more stringent definition including a temporal criterion. MethodsA retrospective study was performed in a tertiary center. D2T PsA was defined as failure of ≥ 2 b/tsDMARDs with different mechanism of action. Very D2T PsA was defined as failure of ≥ 2 b/tsDMARDs in less than 2 years of follow-up. D2T and Very D2T PsA patients were compared to nD2T PsA patients using statistical tests. Results150 PsA patients were included (from 2004 to 2015): 49 D2T PsA and 101 nD2T PsA. D2T PsA was associated with a higher prevalence of axial involvement (p=0.030), axial and/or peripheral structural damage (p=0.007) at baseline and more bDMARDs discontinuation due to poor dermatological control (p=0.005). There was no significant difference regarding comorbidities such as obesity, smoking status, fibromyalgia or depression. In multivariate analysis, peripheral structural damage at baseline was found to be a predictive factor for D2T PsA with an OR of 2.57 (1.16 to 5.69; p=0.020).17 PsA (11.3%) patients were categorized as Very D2T PsA. When compared to nD2T group, proportion of obesity was higher (p=0.015) and axial involvement was more prevalent in the Very D2T group (p=0.020). ConclusionD2T PsA patients had a higher prevalence of axial involvement, peripheral structural damage and therapeutic discontinuation due to poor dermatological control whereas Very D2T PsA patients were more likely obese with axial involvement. Very D2T PsA represent a minim proportion among patients when applying a more stringent definition. Pending the PsA D2T definition by the European and American societies, this study highlights some characteristics that may help practitioners better identify D2T patients.

Underwater spectral line enhancement and transient interference suppression based on constrained non-negative matrix factorization

Spectral line enhancement and transient interference suppression of underwater objects are critical issues for passive sonar systems. Conventional approaches for processing spectral lines have focused on either time-domain or frequency-domain methods. In this study, the constrained non-negative matrix factorization is proposed to process the underwater spectral lines in the joint time-frequency domain. Based on the sparsity of spectral lines in the frequency domain, the sparseness criterion is utilized to constrain the basis matrix that represents the frequency-mode of the signal. The correlation between sparsity and frequency estimation accuracy is examined with weight coefficients, and an effective weight coefficient interval for the sparseness term is determined to optimize the detection of the spectral line. To address the issue of abrupt changes in signal energy caused by transient interference, the temporal continuity criterion is applied to constrain the coefficient matrix representing the temporal gain mode of the signal. An analysis is conducted to determine the impact of weight coefficient on the continuity of the coefficient matrix, and the optimal weight coefficient of the temporal continuity term is established to suppress local transient strong interference. Experimental results demonstrate that the algorithm significantly enhances the capacity for the detection and extraction of spectral lines.

Use Of the Quizizz Tool by Primary School Teachers: A Review of The Literature in Scopus from 2017-2023

The objective of this study was the analysis and quantification of the scientific literature by means of metrics in relation to the research consulted on the use of the Quizizz tool by primary education teachers during the period 2017-2023. Thus, the search was carried out through the combination of words "quizizz", "teachers". Likewise, the search filters were applied: Open access and the temporal criteria of 2017-2023, giving a total result of 45 studies that were exported in the Bibtex format for later reading with Cran-R. Among the results, it was identified that 2019 was the year with the highest scientific production with 10 studies. Regarding the productivity of authors, it was found that 2 authors have presented continuity with the topic studied. On the other hand, the relationship between the keywords of the author, the authors and the affiliations included was interpreted. The frequency of words showed that the keywords with the highest index are "motivation", "Online games", "quizizz", "Technology", "gamification", "assessment" and "online teaching - learning". The countries with the highest production are Indonesia and India. Word co-occurrence within the abstracts of all included studies was then analyzed with a sample of 100 words from all abstracts. The studies with the highest citation index present (n=130) and (n=90).