Search

Az állatokkal való terápiás kapcsolat a pszichés, a szomatikus és a szociális egészség szempontjából meghatározó, hiszen gazdagítja a funkcionális egész jóllétét (Bánszky és mtsai, 2012). Az állatokkal történő rendszeres kapcsolat megerősíti az emberekben a felelősségvállalás tapasztalatát, a ragaszkodást, feltétel nélküli elfogadást és szeretetet, mindemellett kialakít egyfajta biztonságérzetet bennünk, hiszen az állat léte már önmagában is csökkenti a szorongásos tüneteket, a magányt, a szociális izolációt. Emellett az álla-tokkal való közös időtöltés kedvez a különféle mozgások optimalizálásának. Jelen tanulmányban egy folyamatban lévő vizsgálat tervének bemutatására kerül sor. A vizsgálat fő célja kiemelni a kutyával asszisztált terápia fontosságát a sajátos nevelési igényű gyermekek mozgásának finomításában úgy, hogy a gyermekek heti rendszerességgel vesznek részt kutyával asszisztált terápiás foglalkozásokon, melynek során az anamnézis és a megfigyelések mellett egy, a speciális oktatásban elfogadott mérő skála segítségével (Portage skála) mérjük a gyerekek fejlődését. Feltételezésünk szerint az állatasszisztált terápia hatására a sajátos nevelési igényű gyermekek nagy-és finommozgása jelentősen pozitív irányba változik. A választott kutatási módszereink az esettanulmány és a megfigyelés. Az adatok feldolgozása egyaránt igényel kvalitatív és kvantitatív elemzést.

Contributions: This article presents a large-scale study which investigates students' reaction to game-based learning as part of programming courses. The study focuses on knowledge acquisition, learner experience, and game usability. Background: Despite the rapid growth of the information and communication technologies (ICTs) sector, the lack of engagement with science, technology, engineering, and mathematics (STEM) subjects and high dropout rates in computer science and engineering majors is linked directly to the large number of unfilled vacancies in the ICT employment market. To tackle one of the underlying causes for this crisis, (i.e., traditional teaching paradigms struggle to attract students to rather abstract and difficult STEM subjects such as programming), innovative technology-enhanced learning solutions are sought. Intended Outcomes: A set of serious games were proposed and designed to promote students' understanding of programming concepts, improve their confidence, stimulate their interest in STEM and increase engagement with the courses through vivid and appealing scenarios. Application Design: Targeting undergraduate and postgraduate students, the games focused on several key programming topics. They were designed to visualize the programming concepts in illustrative and entertaining scenarios. A comprehensive assessment methodology which includes surveys, observations, and interviews was employed to investigate the impact of the games. Findings: The results show that by using the games in the teaching and learning process all the students have benefited, although differently based on their location, educational backgrounds, and game played. The impact of detailed demographic aspects, such as participants' use of technology, their initial attitude toward school, and learning STEM on the results needs further study.

The current national and international context has determined teachers to evaluate teaching methods and utilise active student involvement strategies in the classroom during learning processes. This article presents the Flipped Classroom instructional model, analyses its application, and proposes stages to follow in order to create a successful flipped classroom. Even though the flipped classroom instructional model is not utilised in Romania, the authors aim to attract attention to it, presenting its advantages and disadvantages. A change is due in the current teaching paradigm and it is high time to promote an innovative learning framework using the flipped classroom instructional model.

The use of ventricular assist devices as bridge-to-transplantation therapy has a critical role in the management of end-stage heart failure in pediatric patients without available compatible organ donors. The HeartMate 3 is an intracorporeal centrifugal flow pump with a fully magnetically levitated motor currently approved for the management of advanced refractory left ventricular failure in pediatric patients, with positive early outcomes. We report the case of a 17-year-old adolescent girl with end-stage heart failure secondary to dilated cardiomyopathy of idiopathic etiology, with multiple failed attempts of weaning from inotropic support (PEDIMACS 3 profile), who successfully received a HeartMate 3 left ventricular assist device as bridge-to-transplantation therapy with no significant adverse events during the early follow-up period. This paper presents the first case of pediatric ventricular assist device implantation in Romania.

Posterior reversible encephalopathy syndrome (PRES) primarily shows neurological symptoms and is more frequent in males, often occurring in oncological patients. It can also be associated with renal conditions like post-streptococcal glomerulonephritis, a common cause of pediatric hypertension. Management involves blood pressure and seizure treatment. In some cases, it may lead to irreversible and severe complications. Early treatment is essential for prevention.

Human mpox is a zoonotic disease, caused by the mpox virus (MPXV), that can spread either between animals and humans or humans and humans. In 1970 the first human case of mpox was reported in Zaire, Democratic Republic of the Congo (DRC). Other notable human mpox outbreaks in non-endemic countries were identified in June 2003 in the United States, in July 2021 in Dallas (USA), and the most recent one in May 2022 in Europe in the United Kingdom (UK). During the 2022 outbreak, sexual intercourse was observed to be the most prevalent transmission method, although other means should not be ignored, such as the involvement of respiratory droplets, exposure to surfaces and skin suspected of contamination. In the context of the current mpox outbreak, we consider it important and necessary to correctly identify the virus, use the proper laboratory testing for a correct diagnosis of mpox, understand the means of prophylaxis, and apply the correct treatment, highlighting these facts being the aim of this study.

Book review: Mechanistic Explanations in Physics and Beyond, Brigitte Falkenburg and Gregor Schiemann, editors, European Studies in Philosophy of Science, Vol. 11, Springer International Publishing, Cham 2019, pp.220

Objective. The objective of this cross-sectional study was to analyze data available in the Romanian Registry of Rheumatic Diseases (RRBR) in 2022 for axial spondyloarthritis (axSpA) patients treated with biologic disease modifying anti-rheumatic drugs (bDMARDs). Methods. From the RRBR electronic database were collected multiple variables, including patient’s demographic and clinical characteristics, treatment characteristics, patterns of treatment use (initiations, continuations, switching, tapering), and treatment efficacy data of axSpA patients, from 1 January 2022 to 31 December 2022. Results. In 2022, a total of 4315 axSpA patients were registered in the RRBR database: 70% were men, 48.4 years mean age, 13.3 years mean disease duration, 90% with radiographic axSpA, with high prevalence of extra-musculoskeletal manifestations and cardiovascular comorbidities. Most patients (88%) were treated with a tumor necrosis factor inhibitor (TNFi), usually in monotherapy. The most frequently prescribed bDMARDs were adalimumab (36%), etanercept (32%) and secukinumab (12%). The uptake of biosimilars reached one third of patients from molecules with available biosimilars in 2022. Most patients had a good clinical response, irrespective of clinical form, disease duration, type of medication or line of treatment. Medication switching was needed in 10% of patients, the main reason for switching was secondary loss of efficacy. Medication tapering was implemented in 11% of patients, and it was successful in 90% of cases. Conclusion. Data from RRBR provide a valuable real-world view of clinical practice at the national level regarding biologic treatment of axSpA patients.

The authors of this study aim to carry out a dynamic and structural analysis of the revenues and expenses of an economic entity supplying drinking water, for the period 2021-2022, to highlight their evolution as a result of the increase in the water tariff. For the profitability of the activity of the analyzed economic entity, it is particularly important to know the expenses caused by the performance of the specific activity and, respectively, to identify the best ways to improve its performance. As is known, the correlated analysis of expenses and the management of financial, material, and human resources is the basis of the managerial decision-making process of an economic entity. The objective of this research is to develop an analysis of expenses related to incomes in order to highlight their evolution, as well as the factors that influence their size. The research focused on the study of specialized literature, complemented by a case study comprising the vertical analysis of the profit and loss account, as well as the dynamic and structural analysis of the expenses and revenues of a company in the targeted field. The obtained result resides in the observation that, for the analyzed entity, the revenues adversely influence the efficiency of the total expenses. The article ends with the authors’ conclusions regarding how the expenses related to the analyzed entity’s revenues evolved during the mentioned period and the effect over time of the resulting variations.

Aim of the study The main objective of this paper is to perform an updated literature review of future endodontics trends based on the available up-to-date scientific literature to identify and describe the new techniques, new materials and their benefits or their limitations. Material and methods Electronic databases (PubMed, Wiley Online Library, Google Scholar and Web of Science) were used to perform a literature search from 2018 to 2023 using MESH terms: Endodontics, Artificial Intelligence, Lasers. After discarding duplicates, out of 1283 results, a total of 18 articles were eligible and point out how endodontic protocol may change with the onset of new technologies and procedures. Results Nanoparticle, laser, regenerative treatment, guided endodontics and artificial intelligence are the main areas that shown promising results in endodontic treatment. New materials with biological capacities will improve the long-term results. Overall, endodontic treatment tends to became more precise and the complications can be reduced. Conclusions Endodontics will see many exciting developments over the coming years, some incremental, others paradigm shifting.

Aim of the study This paper aims to identify the characteristics of mouth breathing as an oral vicious habit frequently encountered in paediatric dentistry clinical practice, evaluating the possible outcomes in regards to somatic and stomatognatic development, as well as interceptive treatment modalities. Materials and method A number of clinical case studies and review articles were evaluated, after searching databases for available papers using key words like “oral vicious habits”, “mouth breathing”, “interceptive treatment”, “children and adolescents”. Results Oral vicious habits are one of the most frequent disturbances seen by the paediatric dentist in the dental office, which often impair the child’s quality of life. Vicious habits include thumb sucking, prolonged use of a pacifier, lip biting and sucking, onycophagia (fingernail biting), bruxism, oral self-harm, mouth breathing and tongue interposition. These habits have a great impact on occlusion and muscle development, causing repetitive and complex muscular contractions, with effects varying from individual to individual depending on the frequency, period and intensity of the habit. Conclusions Mouth breathing is an oral vicious habit which can induce numerous negative effects on the development of the stomatognatic system, therefore the identification, interception and early intervention on oral breathing should be a desiderate of every paediatric dentist’s office.

Background and Objectives: Sarcopenia, a condition characterized by muscle mass loss, is prevalent in up to 68% of rectal cancer patients and has been described as a negative prognostic factor, impacting overall survival and tumor response. While there are extensive data on rectal cancer globally, only a handful of studies have evaluated the role of sarcopenia in locally advanced rectal cancer (LARC). Our study aimed to investigate the relationship between sarcopenia, overall response rate, and toxicity in patients who underwent total neoadjuvant treatment (TNT) for LARC. Materials and Methods: We performed a retrospective study of patients with rectal cancer treated with TNT and surgery with curative intent between 2021 and 2023 at Prof. Dr. Ion Chiricuta Institute of Oncology, Cluj-Napoca. Sarcopenia was assessed on MRI images by measuring the psoas muscle area (PMA) at the level of the L4 vertebra before and after neoadjuvant therapy. The primary endpoints were the overall complete response rate (oCR) and acute toxicity. Results: This study included 50 patients with LARC. The oCR rate was 18% and was significantly associated with post-treatment sarcopenia (OR 0.08, p = 0.043). Patients who did not achieve a clinical or pathologic complete response had, on average, an 8% muscle loss during neoadjuvant therapy (p = 0.022). Cystitis and thrombocytopenia were significantly associated with post-treatment sarcopenia (p = 0.05 and p = 0.049). Conclusions: Sarcopenia and loss of psoas muscle during neoadjuvant therapy were negatively associated with tumor response in locally advanced rectal cancer. Thrombocytopenia and cystitis are more frequent in sarcopenic than non-sarcopenic patients undergoing neoadjuvant chemoradiation for rectal cancer.

Romania has a rich hydrographic network, which permitted the construction of over 80 large dams on its water courses, estimating a number between 545 and 674 hydropower plants that were either built or were in a different construction stage on the rivers of Romania in 2021. These hydropower plants were often built outside specific legislation regarding ecological impacts, especially before 1990. Longitudinal fragmentation of rivers causes severe ecological impacts on biodiversity, food chains, and nutrient cycles. Someșul Cald River is the main tributary of Someșul Mic River, the most important water source for the northwestern region of Transylvania. On its course, several dams and reservoirs were built from 1968 to 1980 for electricity production and population freshwater supply. The present study aimed to analyze the length–weight relationships (LWRs) and condition factors occurring in the longitudinally fragmented Someșul Cald River. The LWRs, relative condition factor Kn, and Fulton condition factor K were determined based on total length and wet body weight. Comparisons of LWRs, Kn, and K across river sections constrained by dams showed that some fish species exhibited similar growth patterns and physiological conditions, while others differed significantly. Freshwater fish physiology is altered by longitudinal fragmentation, both natural and artificial. Barriers such as dams influence the energy gradient, limiting feed availability and, consequently, the life history of fish species. Long-term management plans regarding conservation should take into consideration existing fish species population dynamics, along with their physiological and somatic status.

This study explores the association of respiratory muscle strength with aerobic endurance kinetics among athletes, with a specific focus on maximal oxygen consumption (VO2max). Previous research has elucidated the complex interactions between respiratory and skeletal muscles during exercise, highlighting the critical role of efficient respiration in maximizing athletic performance. The interplay between active skeletal muscles and respiratory muscles, especially the influence of respiratory muscle fatigue on exercise capacity, is well-documented. High-intensity exercise has been shown to activate the respiratory muscle metaboreflex, which can restrict blood flow to working muscles, thereby impacting the energy required for respiration. A total of 41 athletes, drawn from the disciplines of biathlon, judo, and cross-country, participated in this study. Respiratory function tests (RFTs) were administered to assess various respiratory parameters, including changes in chest circumference. Additionally, maximal oxygen consumption (VO2max) and heart rate were measured during a treadmill test. To explore the associations between VO2max and ventilatory parameters—namely, ventilation (VE), oxygen consumption (VO2), carbon dioxide production (VCO2)—as well as respiratory metrics, linear regression analysis was employed. Based on the standardized regression coefficients (β), it was found that maximum expiratory pressure (MEP) (mean ± SD: 130.95 ± 42.82) and inspiratory diaphragmatic circumference values were significantly associated with VE, VO2, and VCO2. Conversely, the other predictor variables did not exhibit a significant effect on VE (mean ± SD: 134.80 ± 36.69), VO2 (mean ± SD: 3877.52 ± 868.47 mL), and VCO2 (mean ± SD: 4301.27 ± 1001.07 mL). Similarly, measurements of chest circumference (mean ± SD: 91.40 ± 10.72 cm), MEP, and diaphragmatic circumference during inspiration (mean ± SD: 95.20 ± 10.21 cm) were significantly associated with VO2max (mean ± SD: 58.52 ± 10.74 mL/kg/min), while the remaining predictor variables did not demonstrate a significant effect on VO2max. Additionally, a multiple linear regression analysis was conducted to examine the combined effects of respiratory muscle strength and ventilatory factors on VO2max. The model, which included interaction terms, explained 89.9% of the variance in VO2max (R2 = 0.899, adjusted R2 = 0.859). Significant interactions were found between MIP and VE (B = −0.084, p = 0.006), as well as MEP and VE (B = 0.072, p = 0.012). These findings suggest that respiratory muscle strength plays a more substantial role in determining VO2max in individuals with higher ventilatory efficiency, highlighting the importance of both respiratory strength and breathing efficiency in aerobic performance. Our findings underscore the importance of considering respiratory muscle strength in assessing and enhancing athletes’ aerobic performance. Integrating objective measurements such as maximal inspiratory and expiratory pressure assessments into routine performance evaluations allows coaches and sports scientists to monitor changes in respiratory function over time and adjust training protocols accordingly.

Periodontitis is a chronic inflammation caused by periodontopathogenic bacteria in the dental biofilm, and also involves the inflammatory-immune response of the host. Polymorphonuclear neutrophils (PMNs) play essential roles in bacterial clearance by multiple mechanisms, including the formation of neutrophil extracellular traps (NETs) that retain and destroy pathogens. During PD progression, the interaction between PMNs, NETs, and bacteria leads to an exaggerated immune response and a prolonged inflammatory state. As a lesion matures, PMNs accumulate in the periodontal tissues and die via NETosis, ultimately resulting in tissue injury. A better understanding of the role of NETs, the associated molecules, and the pathogenic pathways of NET formation in periodontitis, could provide markers of NETosis as reliable diagnostic and prognostic tools. Moreover, an assessment of NET biomarker levels in biofluids, particularly in saliva or gingival crevicular fluid, could be useful for monitoring periodontitis progression and treatment efficacy. Preventing excessive NET accumulation in periodontal tissues, by both controlling NETs’ formation and their appropriate removal, could be a key for further development of more efficient therapeutic approaches. In periodontal therapy, local drug delivery (LDD) systems are more targeted, enhancing the bioavailability of active pharmacological agents in the periodontal pocket and surrounding tissues for prolonged time to ensure an optimal therapeutic outcome.

Background and Objectives: Rectal cancer accounts for approximately one-third of colorectal cancers, with over 340,000 deaths globally in 2022. Despite advancements in treatment, the five-year overall survival for locally advanced rectal cancer (LARC) remains at 74%, with significant morbidity. B7H3 (CD276), an immune checkpoint protein, plays a role in tumor progression and resistance to therapy, and correlates with poor prognosis in various cancers, including colorectal cancer. This study aims to evaluate the expression of B7H3 in LARC and its impact on overall complete response (oCR) rates to neoadjuvant therapy. Methods: A retrospective study was conducted on 60 patients with LARC who received neoadjuvant chemoradiation (nCRT) followed by total mesorectal excision (TME). B7H3 expression was assessed using immunohistochemistry on surgical specimens. Expression levels were categorized as high or low based on a composite score, and their association with oCR rates was analyzed. Results: High B7H3 expression was observed in 60% of patients, with 73.5% showing expression in more than 50% of tumor cells. Patients who achieved oCR had significantly lower B7H3 expression compared to those with residual disease (p < 0.001). No nuclear expression of B7H3 was detected. No significant correlation was found between B7H3 expression and other clinicopathological variables, except for a higher likelihood of non-restorative surgery in patients with elevated B7H3 levels (p = 0.049). Mucinous adenocarcinoma had high expression of B7H3. Conclusions: Elevated B7H3 expression is associated with reduced oCR rates in LARC, highlighting its potential role as a prognostic biomarker. Further studies with larger cohorts are warranted to validate these findings and explore B7H3-targeted therapies as a treatment strategy for LARC.

Patient compliance in chronic illnesses is essential for disease management. This also applies to age-related macular degeneration (AMD), a chronic acquired retinal degeneration that needs constant monitoring and patient cooperation. Therefore, patients with AMD can benefit by being properly informed about their disease, regardless of the condition’s stage. Information is essential in keeping them compliant with lifestyle changes, regular monitoring, and treatment. Large language models have shown potential in numerous fields, including medicine, with remarkable use cases. In this paper, we wanted to assess the capacity of two large language models (LLMs), ChatGPT4 and PaLM2, to offer advice to questions frequently asked by patients with AMD. After searching on AMD-patient-dedicated websites for frequently asked questions, we curated and selected a number of 143 questions. The questions were then transformed into scenarios that were answered by ChatGPT4, PaLM2, and three ophthalmologists. Afterwards, the answers provided by the two LLMs to a set of 133 questions were evaluated by two ophthalmologists, who graded each answer on a five-point Likert scale. The models were evaluated based on six qualitative criteria: (C1) reflects clinical and scientific consensus, (C2) likelihood of possible harm, (C3) evidence of correct reasoning, (C4) evidence of correct comprehension, (C5) evidence of correct retrieval, and (C6) missing content. Out of 133 questions, ChatGPT4 received a score of five from both reviewers to 118 questions (88.72%) for C1, to 130 (97.74%) for C2, to 131 (98.50%) for C3, to 133 (100%) for C4, to 132 (99.25%) for C5, and to 122 (91.73%) for C6, while PaLM2 to 81 questions (60.90%) for C1, to 114 (85.71%) for C2, to 115 (86.47%) for C3, to 124 (93.23%) for C4, to 113 (84.97%) for C5, and to 93 (69.92%) for C6. Despite the overall high performance, there were answers that are incomplete or inaccurate, and the paper explores the type of errors produced by these LLMs. Our study reveals that ChatGPT4 and PaLM2 are valuable instruments for patient information and education; however, since there are still some limitations to these models, for proper information, they should be used in addition to the advice provided by the physicians.

This study aims to evaluate the sulfur dioxide dynamics in two wines, dry white wine Fetească albă and dry red wine Fetească neagră made in Târnave vineyard, and to observe their evolution after application of Bactiless and Longevity to lower the level of SO2. The wines from 2020 harvest were produced using traditional winemaking techniques. The experimental variants were: Control, Longevity (20, 30, 40, 0, and 40 g/hL) with Bactiless (20, 35, 50, 50 and 0 g/hL). For all the samples studied in this work, it was determined a decrease concentration of free and total sulfur dioxide. The best results obtained for the Fetească albă wine was the decrease of free SO2 from 35.00 mg/L to 25.33±0.60 mg/L and total SO2 from 120.50 mg/L to 117.50 mg/L by using 50 g/hL of Bactiless (CFAV4). For the Fetească neagră wine, the best results obtained were the decrease of free SO2 from 32.50±0.29 mg/L to 14.83±0.18 mg/L and total SO2 from 85.00±0.87 mg/L to 75.00±0.86 mg/L by adding 40 g/hL of Longevity and 50 g/hL of Bactiless (CFNV3). With an allowed SO2 concentration, the evaluated wines maintained their varietal characteristics and organoleptic properties.

This paper explores the proximate composition of spring barley seeds and the b-glucan’s content in various two-rowed spring barley genotypes cultivated using different agricultural systems. The genotypes originated from both autochthonous and foreign sources and were grown under conventional, ecological, and no-treatment conditions. The proximate analysis of spring barley seeds was performed using near-infrared spectrometry, while the b-glucan content was determined enzymatically. The data analysis included principal component analysis and cluster analysis to identify ideal candidates for specific applications. The results indicated that the conventional cultivation system yielded higher levels of starch, sugar, protein and ash content; conversely, the ecological and no-treatment systems showed variations in nutritional parameters, with the no-treatment approach resulting in significantly higher b-glucan and fat content. In line with previous research, this study highlights the influence of genotype and agricultural practices on the barley seeds’ composition. Overall, this research contributes to a better understanding of the nutritional composition of barley seeds and offers insights into selecting specific barley genotypes for various applications in the food, feed, and brewing industries; it also underscores the potential for utilizing spring barley's b-glucan to enhance the nutritional value of various products, promoting cardiovascular and digestive health.

Red clover also known as Trifolium pratense L., is a perennial allogame plant belonging to Trifolium genus and Fabaceae family. Besides its benefits in animal feed and soil improvement, red clover was studied as well for its medicinal properties, being used in different forms like essential oil, tea, pills and other. This study aimed to perform a comparative analysis on some diploid and tetraploid red clover cultivars regarding morphological and biochemical traits. The study was carried out between 2022 and 2023 on 90 red clover cultivars, divided into two samples represented by diploids and tetraploids. Tetraploids were superior to diploids in the 2nd year and inferior in the 3rd year. Regarding the polyphenols content, diploids showed higher values than tetraploids. Between diploids and tetraploids, there was a significant difference in the number of inflorescences/50g and inflorescence weight from the 3rd year.

This thorough analysis explains the various effects of using digital technology for anesthesia and intensive care services at Pius Brânzeu (P.B.) Emergency County Hospital, emphasizing how it improves patient safety. Digital technology in healthcare, especially in critical and changing areas like anesthesia and intensive care, has both positive and negative aspects. The digitization initiative seeks to improve patient monitoring accuracy by using cutting-edge technologies such as EEG, BIS, and cardiovascular output measurements, which are essential for patient care during surgery. By allowing instant, centralized data integration, these systems increase the accuracy of monitoring and enable prompt clinical decisions, thereby potentially lowering the risk of critical incidents that traditionally occurred due to late or missed identifications of physiological abnormalities. However, the transition to electronic health records (EHRs) and digital monitoring tools introduces new challenges, primarily concerning data management, system reliability, and user interaction with complex interfaces. Concerns about the human factors integration of computerized physician order entry (CPOE) systems exemplify potential setbacks, including the risk of increased medication errors and the failure of technology during critical use. Studies have shown that digital health technology can lead to significant improvements in patient safety and outcomes. For example, a study published in the Journal of the American Medical Association found that EHRs were associated with a 17% reduction in medication errors. Another study, published in the Journal of Clinical Anesthesia, found that CPOE was associated with a 50% reduction in anesthesia-related errors. Furthermore, this move towards digital solutions poses serious security and privacy challenges. The danger of data access and breaches by unauthorized parties could threaten patient confidentiality and safety, requiring strong cybersecurity policies. Moreover, the effective use of digital technologies relies greatly on extensive training programs for healthcare professionals to ensure competence and reduce risks related to new system interfaces. The hospital's method also involves thorough system checks and partnerships between IT and healthcare teams to ensure successful execution and flexibility to the evolving technological environment. These tactics aim to protect patient data accuracy and maintain the standard of clinical care. In the end, while the digital transformation of anesthesia and intensive care offers great potential for improving patient safety and care quality, it demands careful attention to possible risks, user education, and constant system assessment to achieve its full benefits and ensure lasting enhancements in patient outcomes.

A dataset is a collection of information, usually structured in a format that can be used in research or training various applications such as machine learning. Datasets are fundamental to many analytical processes because they provide raw data that can be used in different applications. While some datasets are readily available, others must be specially curated. Creating a dataset often involves automated data collection methods, with web scraping being a popular technique. Web scraping employs scripts to extract data from online sources, demanding robust programming skills and considerable maintenance effort. It is important to note that the method can break site policies because it may violate terms of service agreements. A proposed solution for gathering the required information is to create a Robot Process Automation (RPA) flow, which collects information from various sources as a normal user would do manually. A use case of RPA flow involves using it to compile a medical dataset that contains information about clinical trials for various drugs. The dataset will be utilized in researching the effects of placebo drugs on people. The information is available on the clinicaltrails.gov site and the results of different trials can be downloaded manually as files. Automating this process can be done by creating a flow in UiPath by linking predefined activity blocks, which simplifies the creation and maintenance of the workflow. Running the flow will follow the steps that a normal user would do for downloading the results of different trials from the site. This approach eases data collection, allowing medical staff to generate datasets, without the need for deep technical skills, that can be used in different investigations. In conclusion, an RPA flow is a straightforward way to gather information for a dataset, circumventing the complexities of traditional programming-based approaches like web scraping.