Data Base Research Articles

Healthcare Costs of Hospitalizations Due to Aspergillosis and 25-Year Trends in Spain, 1997–2021

In the last 40 years, a significant increase in the incidence of lung infections by Aspergillus has been reported. The scarcity of studies that describe the costs of aspergillosis indicates that the economic impact of aspergillosis in the hospital environment is greater than that of other fungal infections. The objective of the study was to evaluate the direct healthcare costs associated with aspergillosis in the Spanish National Health System from 1997 to 2021. A retrospective nationwide longitudinal descriptive study was designed to review hospital records from the Minimum Basic Data Set of patients admitted to hospitals of the National Health System from 1997 to 2021, with a diagnosis of aspergillosis. A total of 44,586 patients were admitted for aspergillosis in the Spanish National Health System. There was a progressive increase in the average annual cost from 1997 to 2012, which reached a maximum peak, EUR 1,395,154.21 (±2,155,192.87). It decreased between 2014 and 2019, but increased again in 2020 and 2021, EUR 28,675.79 (±30,384.12). The Pearson correlation coefficient revealed a weak negative correlation between age and hospital costs and a moderate positive correlation between average length of stay and hospital costs. Our data show that the economic impact of hospitalizations for aspergillosis is significant and increasing at a rate proportionally higher than that of other prevalent diseases. Costs related to Aspergillus infection are associated mainly with respiratory diseases. The results of this economic evaluation may be useful for health authorities to develop a future economic strategy for managing this fungal infection.

Horticultural and Ecological Assessment of Public Gardens and Parks at Benghazi City during Last Five Decades

Gardens and parks play significant and major role from ecological and environmental point of view. The presence of trees, plants and greenery in public gardens and resorts helps to cool the surrounding environment, reduce air pollution and improve air quality. They can also support pollinators and wild life like bees, butter flies and birds by providing a diverse range of flowering plants and habitats for urban wildlife. Despite of the ornamental plants were very limited, and the workers and specialists in this field were very rare, the municipality of Benghazi tried to provide the horticultural structures like plant nurseries, training programs and investing in employees and providing opportunities for their development. During years from 1990 to 2023, the number of gardens and parks was jumped to more than 127. Recently, more horticultural care was noticed not only in the governmental sector but also in the private one while the number of ornamental nurseries increased, private agricultural companies established, and more plants were imported and introduced to the city. Because of lack of information, we tried to analyzed and assayed the gardens and parks situation from horticultural and ecological point of view at Benghazi city from 1973 to the present using available information with focusing on the development of this sector to provide more data base for the authorities, interests and researchers.

Active Fault Interpretation in the Northern Segment of the Red River Fault Based on Multisource Remote Sensing Data

High-resolution topographic and geomorphic data are important basic data for the study of active structures. Here, multisource remote sensing data were used to reinterpret the active faults in the northern segment of the Red River Fault (China). First, we obtained airborne light detection and ranging (LiDAR) data, high-resolution GaoFen-7 (GF-7) remote sensing image data, and historical aerial photographs, and a high-resolution digital elevation model (DEM) was generated based on the airborne LiDAR data and GF-7 data. According to the remote sensing interpretation, the main active faults were identified. We subsequently verified the faults in the field and constrained the geographic locations. The current activity was confirmed to be dominantly normal faulting, with some dextral strike-slip components, and the latest active age was the Late Holocene. It reflects the coordination of structural deformation between the rotation of the secondary block and the sliding of the boundary fault within the Sichuan–Yunnan Block. The results show that airborne LiDAR and GF-7 remote sensing data have a great application value in providing high-resolution topographic and geomorphologic data for the study of active structures. The comprehensive application of multisource remote sensing data can greatly improve the reliability of active fault interpretations and provide a reference for follow-up research within the study area.

Assessment of nurses’ compliance with Patients’ Rights in South Africa: A scoping review.

Abstract Background Compliance with Patients’ Rights by nurses is a crucial determinant of how well healthcare services are provided. Nurses are responsible for upholding Patients’ Rights because they spend so much time with patients. Therefore, it is essential to continuously assess nurses’ compliance with Patients’ Rights in healthcare institutions. Objectives To outline the breadth and type of existing research on nurses’ compliance with Patients’ Rights as well as to pinpoint any gaps in the body of existing knowledge. Methods A scoping review search was done in six electronic databases. For eligibility, articles written in English and focusing on nurses’ compliance with Patients’ Rights in South Africa were checked and evaluated. Data were taken from eligible study materials in order to compile, evaluate the quality, summarize, and create a narrative summary of the results. Results The literature collected was 1158 records from six data bases, after deleting 239 duplicates, 919 records remained. 891 records were excluded using title and abstract of the studies. 15 articles were included in the final analysis. Four articles were quantitative studies, 10 qualitative and one a mixed method. The included studies focused on six Patients’ Rights listed in the Patients’ Rights Charter which consist of 12 Patients’ Rights. Conclusion Nurses’ compliance with Patients’ Rights is inconsistent and there are limited studies on nurses’ compliance with all Patients’ Rights in SA. More studies are required in future, as seen by the included studies’ inconsistent findings.

Assessing the achievement of sustainable development in the Maghreb countries

Aim. Comparative analysis of the progress of achieving sustainable development by Maghreb countries (among them Libya, Tunisia, Algeria, Morocco, Mauritania) according to the indices developed by international organizations and scientific institutions, as well as ranking the countries according to the level of sustainable development in the region.Objectives. To analyze the regulatory framework governing sustainable development in the Maghreb countries; to assess the level of sustainable development of the countries under consideration according to international environmental, social and economic indices in 2018–2023; to apply a universal methodology for assessing sustainable development based on basic statistical data of each country; to identify common achievements and unique challenges faced by countries in the process of implementing sustainable development programs.Methods. The analysis is based on the comparison of statistical data, publications and reports of international organizations on the success of the implementation of sustainable development programs in the Maghreb countries. Comparative and analytical approaches to assessing the level of sustainable development were applied, and attention was paid to factors affecting successes and obstacles to achieving sustainable development.Results. Maghreb countries are at different levels of sustainable development. The article traces the differences in the countries’ strategies for implementing national sustainable development programs. The analysis of the level of sustainable development in Maghreb countries showed that Morocco has the highest position. Libya has the lowest level of sustainable development. The poverty rate in the region is decreasing, although in Libya, it remains high. Countries are showing progress in renewable energy development, with Morocco in particular implementing solar energy programs. Despite the successes, the countries face significant challenges. Inequality in access to resources and income, along with high unemployment, especially among youth, remains a pressing problem in the region. Political instability in Libya, non-cooperation between Morocco and Algeria hinder economic development and the realization of the Sustainable Development Goals.Conclusions. Regular monitoring of the level of sustainable development in the Maghreb countries, as well as timely adjustment of actions, serves as a necessary step to achieve prosperity and well-being in the region. Despite many challenges, Libya, Tunisia, Algeria, Morocco and Mauritania have great potential for sustainable development. However, realizing the Aim. requires considerable effort, political will and effective cooperation, both within the region and internationally. It is necessary to continue to invest in development, strengthen regional cooperation and utilize innovative technologies to achieve a sustainable future.

ASEAN, and Indonesia’s Rising Influence In The Region

When one looks at the world map, Indonesia is not really visible in a very obvious manner, due to it being an archipelago, scattered over thousands of islands in South East Asia. However, when one reads into it, they realize that it is actually the fourth most populous country on earth, and holds quite a bit of diplomatic power as well. Indonesia is one of the founding members of ASEAN, the Association of South-East Asian Nations. ASEAN houses major natural resources, a huge chunk of Earth’s population, and together, the 10 ASEAN member states form one of the busiest trade routes in the world. To keep it simple, ASEAN is a really important organisation, and Indonesia, being one of the founding members, as well as the largest country in it, acts as the de-facto leader. Unfortunately, Indonesia is prone to many natural disasters due to its unfortunate geographic location, smack in the Pacific Ring of Fire. Recent major disasters have weakened Indonesia’s position, and many countries now do not consider Indonesia as the de-facto leader of ASEAN. This research focuses on Indonesia’s rise and fall as the undisputed leader of ASEAN, and what the future holds in store for Indonesia. To conduct this research, numerous research papers have been referred to and cited, as well as fresh information has been collected on a primary data basis. The primary data is collected by interviewing 15 Indonesian citizens, as well as senior officials at the Consulate General of Indonesia, Mumbai. Thus, the research presents the observations derived from interviewing two sides, the perspective of the Indonesian citizens, as well as the perspective of the Indonesian government. The research aims to answer some questions such as if Indonesia is prepared to tackle the current and future issues arising in ASEAN, being the leader. The research goes a step further to figure out if the Pacific Ring of Fire affects the geopolitics of Indonesia, and finally, the research looks at if the Indonesian government, and their people, the citizens look eye to eye? All of the interviews of the Indonesian citizens have been conducted virtually via Google Forms, and a meeting at the Consulate was set up in Mumbai to get the government’s perspective.

Introducing edge intelligence to smart meters via federated split learning

The ubiquitous smart meters are expected to be a central feature of future smart grids because they enable the collection of massive amounts of fine-grained consumption data to support demand-side flexibility. However, current smart meters are not smart enough. They can only perform basic data collection and communication functions and cannot carry out on-device intelligent data analytics due to hardware constraints in terms of memory, computation, and communication capacity. Moreover, privacy concerns have hindered the utilization of data from distributed smart meters. Here, we present an end-edge-cloud federated split learning framework to enable collaborative model training on resource-constrained smart meters with the assistance of edge and cloud servers in a resource-efficient and privacy-enhancing manner. The proposed method is validated on a hardware platform to conduct building and household load forecasting on smart meters that only have 192 KB of static random-access memory (SRAM). We show that the proposed method can reduce the memory footprint by 95.5%, the training time by 94.8%, and the communication burden by 50% under the distributed learning framework and can achieve comparable or superior forecasting accuracy to that of conventional methods trained on high-capacity servers.

Feasibility of Emergency Flood Traffic Road Damage Assessment by Integrating Remote Sensing Images and Social Media Information

In the context of global climate change, the frequency of sudden natural disasters is increasing. Assessing traffic road damage post-disaster is crucial for emergency decision-making and disaster management. Traditional ground observation methods for evaluating traffic road damage are limited by the timeliness and coverage of data updates. Relying solely on these methods does not adequately support rapid assessment and emergency management during extreme natural disasters. Social media, a major source of big data, can effectively address these limitations by providing more timely and comprehensive disaster information. Motivated by this, we utilized multi-source heterogeneous data to assess the damage to traffic roads under extreme conditions and established a new framework for evaluating traffic roads in cities prone to flood disasters caused by rainstorms. The approach involves several steps: First, the surface area affected by precipitation is extracted using a threshold method constrained by confidence intervals derived from microwave remote sensing images. Second, disaster information is collected from the Sina Weibo platform, where social media information is screened and cleaned. A quantification table for road traffic loss assessment was defined, and a social media disaster information classification model combining text convolutional neural networks and attention mechanisms (TextCNN-Attention disaster information classification) was proposed. Finally, traffic road information on social media is matched with basic geographic data, the classification of traffic road disaster risk levels is visualized, and the assessment of traffic road disaster levels is completed based on multi-source heterogeneous data. Using the “7.20” rainstorm event in Henan Province as an example, this research categorizes the disaster’s impact on traffic roads into five levels—particularly severe, severe, moderate, mild, and minimal—as derived from remote sensing image monitoring and social media information analysis. The evaluation framework for flood disaster traffic roads based on multi-source heterogeneous data provides important data support and methodological support for enhancing disaster management capabilities and systems.

Research on the Knowledge Structure and Sustainable Development Pathways of Artificial Intelligence from the Perspective of Technological Science

Achieving significant breakthroughs in both the fundamental theories and technological applications of artificial intelligence is essential for fostering its long-term development. Under the guidance of Professor Qian Xuesen’s theory of technological science, exploring the internal mechanisms of knowledge evolution in artificial intelligence holds profound theoretical and practical significance for promoting sustainable technological advancement. This study draws on literature from the Web of Science (WOS) database and employs methods such as knowledge mapping, natural language processing, clustering analysis, and citation analysis to outline the knowledge structure of the field, clarify the trajectory of sustainable development, and trace the technological genealogy of VR/AR technologies.This study divides the knowledge structure within the field of technological science into “basic theoretical knowledge—applied basic knowledge—applied knowledge”, enriching Qian’s theory of technological science from within and providing strong intellectual support and technological pathways for sustainable technological development in practice. Artificial intelligence encompasses 10 distinct knowledge domains, among which machine learning and deep learning constitute the basic theoretical knowledge, data intelligence, computer vision, and swarm intelligence are the applied basic knowledge, and image processing and human-computer intelligence are the applied knowledge. The development of VR/AR technology has formed two main sustainable development paths: “machine learning—data intelligence—intelligent systems—human computer intelligence”, and “deep learning—computer vision—image processing”.

Central Venous Catheter Use in Burn Patients: Complications and Preventive Measures

Summary: The use of a central venous catheter (CVC) is essential in the management of burn patients, especially due to the difficulty of venous access, the length of hospitalization, and the need for routine fluid replenishment and medication administration, particularly antibiotics. Aim of the study: The aim of this study is to identify the rate of complications associated with central venous catheters in the context of burn patients to discuss its indications and the benefit/risk ratio. Methods: This descriptive retrospective study was conducted in the Plastic Surgery Department of CHU Mohamed VI in Marrakech, involving patients who received a central venous catheter during their admission to the burn unit from March 2023 to March 2024. Data collection included basic demographic data, comorbidities, burn mechanism, burn depth, percentage of burned body surface area (BSA), central catheter location (subclavian, femoral, jugular), the site (healthy/burned), the duration of catheter placement, complications (infection and venous thrombosis), detection of germs during culture, and the length of hospital stay. Results: Infection and venous thrombosis were identified as the most frequent complications of CVC use. Further research is needed to evaluate the role of regular CVC changes (every 10 to 15 days after insertion) in preventing infections and to establish a clear anticoagulation protocol for preventing deep vein thrombosis (DVT). Conclusion: While CVCs can be a valuable resource in the treatment of burn patients, they are associated with significant risks, some of which may be life-threatening. The duration of CVC placement should be minimized, and blood cultures (preferably from the CVC tip) should be systematically sent after 10 days or at the first suspicion of complications to reduce the incidence and severity of CVC-related infections.

Research on Geothermal Geology and Heat-Forming Conditions in the Tangyuan Fault Depression

In order to gain an in-depth understanding of the geothermal geological characteristics and heat-forming conditions in the Tangyuan fault-depression area, this paper has carried out a series of detailed geological works, including geological surveys and geophysical explorations. Through these works, combined with the results of systematic drilling, sampling tests, and dynamic monitoring, we have studied, analyzed, and compared the relevant data to achieve a comprehensive understanding of the geological characteristics in the Tangyuan fault-depression area. During the research process, we preliminarily determined the stratigraphic structure and geological structure in this area and clarified the characteristics of the main geothermal reservoir and its burial conditions. These findings provide basic data support for our understanding of the formation and distribution of geothermal resources. At the same time, we have carried out a systematic analysis of the basic geothermal geological parameters, laying the foundation for the future calculation and evaluation of geothermal resource reserves. Through the collation and analysis of these research results, this paper not only provides a scientific basis for the development of geothermal resources in the Tangyuan fault-depression area but also provides specific references for future development prospect plans. This series of work will lay a solid foundation for further development and utilization of geothermal resources and promote the sustainable development of the regional economy.

Investigating the link between coronary artery calcification and atrial fibrillation: A systematic review and meta-analysis.

Both coronary artery calcification (CAC) and atrial fibrillation (AF) are associated with common risk factors, such as age, hypertension, diabetes, and dyslipidemia. Investigating their association may provide insights into shared pathophysiological mechanisms and overlapping risk profiles. A systematically search was performed covering various data bases including PubMed, Scopus, ISI, and Google Scholar from January 2000 until December 2023 for English-published articles. We focused on observational studies-cohort, case-control, and cross-sectional-that involved adult participants (aged 18 and older) and provided data on the any association between CAC and AF. We excluded studies if the full text was unavailable, the publication was not in English, there was insufficient numerical data or relative risk information. All the included articles (n = 14), were observational studies (n = 5 case-control and n = 9 cohort). All of the included papers (100%), reported a link between CAC and higher rate of major adverse cardiovascular events such as stroke and mortality in AF patients. The overall prevalence of AF across 5 studies was estimated to be 9.00% (95% confidence intervals [CI]: 2.00, 16.00), and 60% of the AF population were male. The overall proportion of AF in individuals with a coronary artery calcification score (CACS) of 0 is relatively high at 0.48 (95% CI: 0.32, 0.64), followed by CACS (1-99) which was 0.22 (95% CI: 0.16, 0.28), CACS (100-399) which was 0.17 (95% CI: 0.07, 0.28), and CACS (≥ 400) as 0.14 (95% CI: 0.07, 0.22). It can be concluded that there is a robust and consistent association between CAC and AF. Our systematic review underscores the importance of considering CAC as a potential factor in assessing the risk of AF, while also recognizing the multifactorial nature of this relationship.

Biochar carbon removal from residues in Germany—assessment from environmental and economic perspectives

Abstract The topic of biochar carbon removal (BCR), which refers to the pyrolysis of biomass, is increasingly being discussed as a potential solution for the long-term removal of carbon dioxide from the atmosphere. However, BCR technology assessments in Germany, which are used as the basis for strategic decision-making, are often limited to woody biomass as an input material and are based on old data. Consequently, this study focuses on BCR from forest residues, straw and sewage sludge and assesses its contribution to negative emissions under current techno-economic framework conditions. Using life cycle assessment and annuity method, as well as complementary stakeholder engagement formats, the study provides a comprehensive analysis of BCR pathways in Germany based on an empirical, up-to-date data basis. The results highlight the environmental advantages of BCR, particularly in reducing greenhouse gas emissions compared to the conventional treatment of residues. The economic feasibility of BCR is uncertain, with profitability dependent on plant scale, biomass type and the integration of energy co-products. Stakeholder insights underscore the necessity for supportive policies and investment in BCR technology to enhance scalability. This interdisciplinary approach enriches the discourse on BCR’s role in achieving carbon neutrality and offers a robust data foundation for future evaluations.

Waist circumference as a parameter in school-based interventions to prevent overweight and obesity - a systematic review and meta-analysis

BackgroundPreventing childhood obesity remains an important public health issue worldwide. Since visceral fat in particular is understood as an important risk factor for many chronic diseases, waist circumference is recommended as a measurement parameter for global obesity surveillance. This systematic review and meta-analysis focused on waist circumference as an outcome parameter for studies of school-based interventions to prevent overweight and obesity.MethodsA systematic literature search was conducted at the end of 2019 in nine data bases, including Medline and Embase, in order to identify relevant studies evaluating interventions in schools aimed at preventing obesity. Eligibility criteria admitted randomised and non-randomised controlled trials. After screening titles, abstracts and full texts, the data of the identified studies were systematically extracted. Risk of bias was assessed according to study type with the appropriate Cochrane Risk of Bias Tool. The review gives a qualitative overview over all included studies structured by extracted data. Separate meta-analyses were done for the outcome mean difference in change in waist circumference, measured in cm or reported as z-score value, using an inverse variance random-effects model due to study design.ResultsA total of 2421 publications were screened based on titles, abstracts and full texts. Complemented by results of a former systematic literature search 44 studies were identified for inclusion, comprising a total of 39.837 participants (age range: 6 to 18 years). Nearly half of the studies were conducted in Europe, two-thirds combined diet and exercise-based interventions. Likewise two thirds of the studies were conducted as cluster-randomised trials. Most of the reported effects favoured the experimental groups, indicating the basic effectiveness of school-based measures. Based on reported data, only one third of the studies could be included in the meta-analyses. For the difference in mean change of the outcome parameter waist circumference measured in cm (95% CI), we found a pooled effect estimate of -0.95 (-1.87; -0.46). For the difference in mean change of the outcome parameter waist circumference reported as z-score value (95% CI), the pooled effect estimate was -0.10 (-0.15; -0.05). Both effect estimates were in favour of the experimental group. The overall effect sizes were small with a p-value < 0.05.ConclusionsPooled effect estimates were small but in favour of the experimental groups. The same applies to the majority of the effects reported in the included studies. The included cluster of randomised controlled trials demonstrated an especially sound methodological standard. The possibility of achieving larger effects in studies of preventive interventions and health promotion is limited. Schools can only realise their full potential in preventing overweight and obesity in children and adolescents if they are accompanied by measures in other areas of the obesogenic environment.

Efficient micro-mobility path planning without using high-definition maps

Efficient path planning is crucial for the safe autonomous operation of micro-mobility vehicles in unknown environments. When planning paths for micro-mobility, factors, such as the changes in the user's intended destination and user comfort, must be considered. Moreover, for driving in unknown areas, the path planner should not rely on predetermined detailed information like High-Definition maps (HD maps). In this paper, we propose an innovative path planning algorithm for automated driving that solely uses basic perception data from RGB camera, IMU and GPS, thereby eliminating the dependency on HD maps. We initially convert perception data into an occupancy grid map. Subsequently, a global path planner, based on a modified A* algorithm, computes an efficient trajectory, particularly adept to navigation in unknown environments and to scenarios where goal position moves. Additionally, we developed a local planner that optimize multi-clothoid curves using designed constraints to predict the best trajectory. Our experiments, conducted in both simulated and real-world environments, validate the effectiveness of our approach for micro-mobility path planning using only perception data.

Association between nutritional status assessed by body mass index and Crohn's disease phenotype: A Nation-wide analysis

Background & aimsIncidence of obesity and Crohn's disease (CD) is increasing globally. Therefore, understanding any associations between adiposity and disease phenotype is crucial. We aimed explore the relationship between nutritional status measured by body mass index (BMI) and phenotypes of CD using a large national recallable data set. MethodsUsing National Institute for Health and Care Research-IBD Bioresource data base, we retrospectively assessed the relationship between BMI and stenosing CD by logistic regression. BMI was the primary variable of interest; CD behaviour was the dependent variable; stenosing CD was the primary outcome. Confounders were adjusted for in a multivariate model. Results8797 patients diagnosed between 1942 and 2020 were included. Mean overall BMI was 26.3 kg/m2 (SD5.5). 52.7 % had a BMI ≥25 kg/m2 (mean 30.2 kg/m2, SD 4.5). Majority had inflammatory CD (62.9 %) followed by stenosing (25.1 %) and penetrating CD (12 %). Stenosing and penetrating phenotypes were more common in the <25 kg/m2 BMI group (50.7 %, 50.3 % respectively) p < 0.001. Colonic disease location was more common (27.8 % vs 24.3 %, p = 0.001) in patients with high BMI. On univariate analysis, stenosing disease was positively associated with ileal disease location, disease duration, previous surgery, use of infliximab, ustekinumab, vedolizumab, adalimumab and azathioprine but negatively associated with BMI (OR 0.98, 95%CI [0.968–0.99]). On multivariate analyses, BMI remained negatively associated with stenosing CD (OR 0.98, 95%CI [0.97–0.99]); ileal disease location (OR 3.69, 95%CI [3.22–4.24]), adalimumab (OR 1.47, 95%CI [1.30–1.66]), ustekinumab usage (OR 1.51, 95%CI [1.14–2.01] and azathioprine (OR 1.35, 95%CI [1.19–1.53]). ConclusionsAfter multivariate analyses, BMI, ileal disease location and biologic use was negatively associated with a stenosing disease phenotype. This might reflect a change in eating behaviour due to persistent postprandial symptoms related to stenosing disease. Large longitudinal studies are needed to investigate any possible temporal relationship between the obesogenic state and intestinal fibrosis.

UV-B radiation aging changed the environmental behavior of polystyrene micro-/nanoplastics-adsorption kinetics of BDE-47, plankton toxicities and joint toxicities with BDE-47

UV-B radiation acts as an important environmental factor for aging micro-/nanoplastics (MNPs) in the marine environments, while the effect of aged MNPs on plankton is lacking specific research. Referencing to the UV-B radiation intensity in natural environments (2.29W·m-2), we chose the floating polystyrene (PS) MNPs (50nm, 1 μm) as the research target in this study. The results indicated that UV-B radiation aging for 30 days led to a rougher surface, increased SBET, increased hydrophobicity, and decreased negative charges of PS MNPs. Correspondingly, aged MNPs increased their adsorption abilities for 2,2',4,4'-tetrabromodiphenyl ether (BDE-47), especially for the initial stage. After UV-B radiation aging processes, the individual toxicities of the two sized MNPs on Thalassiosira pseudonana and Brachionus plicatilis both increased, while their joint toxicities with BDE-47 decreased on T. pseudonana but increased on B. plicatilis. The changes in toxicity were more pronounced in 1 μm PS MNPs under air-aged conditions. This study provided the data basis for evaluating the changes of MNPs environmental behaviors under UV-B radiation in the marine environments, with important ecological significance.

A Study on the Development of Information and Communication Technology-Based Oral Functional Rehabilitation Exercise Program Content for Elderly People.

Background/Objectives: This study was conducted to develop information and communication technology (ICT)-based oral functional rehabilitation exercise (OFRE) program content to effectively improve the oral function of the elderly people. Methods: After selecting evidence-based effective OFRE items through systematic review, the final items were constructed through the validity evaluation of detailed items through an expert Delphi survey. The items were composed in a simple content form that can be performed directly and applied to ICT-based mobile applications. Results: The final content items consisted of an oral functional motor-ability measurement, oral Pilates videos, and games. The first is to measure the maximum opening amount before and after exercise, and the opening amount was designed to be measured by eating the fruit displayed on the screen by opening and closing the lips. The second one consisted of eight exercises in the video, and each exercise was to be performed at least three times a day, with a total of two sets. The third is a salivary secretion function exercise that stimulates the salivary glands to stimulate the user's interest and enable them to perform oral movements on their own. It consists of a lip and respiratory muscle exercise that inflates the cheeks and bursts a balloon, and the image disappears when the word in the image presented on the screen is pronounced correctly. It consists of pronunciation exercises. Conclusions: This content development attempt can be expanded into new convergence research linked to ICT and can be used as basic data when developing related content as part of digital care for the elderly in the future.

Life history of Mexican species of the genus &lt;i&gt;Tlaloc&lt;/i&gt; (Cyprinodontiformes, Profundulidae)

Fish of the genus Tlaloc are distributed from southern Mexico to Central America and are a distinctive example of the endemic fauna of the Mesoamerican highlands, which has been scarcely studied in Mexico. The present study provides basic life-history data for the species Tlaloc hildebrandi, T. candalarius, and T. labialis, which are native to the headwaters of the Grijalva-Usumacinta basin in southeastern Mexico. We collected 918 specimens to determine their Length-Weight Relationship (LWR), Relative Condition Factor (Kr), sex ratio, Gonadosomatic Index (GSI), fecundity, and size at first sexual maturity. Both sexes of all species had positive allometric growth, except for T. candalarius females (isometric). Mean Kr and sex ratio values differed significantly among species. Females’ GSI values differed significantly among species but were highest during the dry season in all three species. Absolute fecundity was positively correlated with standard length and weight. Sexual maturity was reached at different lengths among species. Based on these results, we suggest that all three species present an opportunistic life strategy, which is very common in fish of the order Cyprinodontiformes. These results represent a first contribution on the life-history of this group of fish and provide basic information that is fundamental to ensuring their conservation.

Physiotherapy in the digital age: A narrative review of the paradigm shift driven by the integration of artificial intelligence and machine learning

Abstract: A variety of physical impairments and functional restrictions are assessed and treated in the practice of physiotherapy. Subjective measures, rater variability, and restricted access to high-quality care are some of the unavoidable problems that contemporary physical therapy practice approaches must overcome. In light of these challenges, cutting-edge technologies such as artificial intelligence (AI) and machine learning (ML) are demonstrating remarkable efficacy in tackling these issues head-on. The focus of this review is to explore how the integration of AI and ML might change physical therapy practice and education in the age of digital communication. It delves into the challenges accompanying this integration and considers future prospects in this domain. A literature search was conducted using data base PubMed, Google Scholar, Web of Science, and Scopus with keywords such as ‘physiotherapy’, ‘artificial intelligence’, and ‘machine learning’, limited to English articles from 2014 to 2024. Results were imported into reference management software, duplicates removed, and relevant articles were screened and assessed for inclusion, with reasons for exclusion documented. Emerging technologies like AI and ML use algorithms to examine patient data and make automatic decisions, enhancing areas such as virtual reality therapy (VR), tele-rehabilitation, clinical decision support, individualized rehabilitation and physical function evaluation. These advance technologies optimize physical therapy and improve outcomes, but further research is needed to address obstacles like bias and data privacy to ensure responsible implementation. AI and ML can revolutionize physical therapy by improving therapy precision, patient monitoring, optimization and individualized therapy plan. However, it’s crucial for physiotherapists to balance technological advancements with compassionate, patient-centred approach.