Predicting chronological age of 14 or 18 in adolescents: integrating dental assessments with machine learning.

AIM: Age estimation plays a critical role in personal identification, especially when determining compliance with the age of consent for adolescents. The age of consent refers to the minimum age at which an individual is legally considered capable of providing informed consent for sexual activities. The purpose of this study is to determine whether adolescents meet the age of 14 or 18 by using dental development combined with machine learning. METHODS: This study combines dental assessment and machine learning techniques to predict whether adolescents have reached the consent age of 14 or 18. Factors such as the staging of the third molar, the third molar index, and the visibility of the periodontal ligament of the second molar are evaluated. RESULTS: Differences in performance metrics indicate that the posterior probabilities achieved by machine learning exceed 93% for the age of 14 and slightly lower for the age of 18. CONCLUSION: This study provides valuable insights for forensic identification for adolescents in personal identification, emphasizing the potential to improve the accuracy of age determination within this population by combining traditional methods with machine learning. It underscores the importance of protecting and respecting the dignity of all individuals involved.

Comparison of the Efficacies of Vicryl Rapide and Prolene Sutures in Transcolumellar Incision.

<b><br>Introduction:</b> Septorhinoplasty aims to enhance nasal function and appearance. This common but complex procedure has demonstrated advancements with both open and endonasal approaches. The selection of sutures can impact patient comfort and scar outcomes, presenting both advantages and disadvantages.</br> <b><br>Aim:</b> This study was conducted to compare the cosmetic outcomes of the use of absorbable polyglactin 910 (PG) (Vicryl Rapide 5/0; Ethicon Inc.) and nonabsorbable polypropylene (PP) (Prolene 5/0; Ethicon Inc.) in open septorhinoplasty in terms of surgical scarring.</br> <b><br>Methods:</b> The sample of this prospective, randomized, single-blind study consisted of 42 patients who underwent open septorhinoplasty. The patients were randomized into the vicryl rapide (n = 16) and prolene (n = 26) suture groups. The groups were comparatively evaluated by two surgeons in terms of surgical scarring, pigmentation, level difference, indentation, and general appearance based on patient photographs taken in the 2nd week, 6th weeks and 12th week post-op.</br> <b><br>Results:</b> The mean age of the vicryl rapide and prolene groups was 26.9 5.7 years and 24.6 3.9 years, respectively. There was no significant difference between the groups in any of the parameters investigated within the scope of the study in postoperative week 2, 6, and 12 (P > 0.05). On the other hand, intragroup analyses revealed that suture scar significantly decreased in the vicryl rapide group in the 6th and 12th weeks compared to the 2nd week (P < 0.05), while no significant difference was observed in the prolene group in the suture scars in week 6 and 12 compared to week 2 (P > 0.05).</br> <b><br>Conclusions:</b> Inverted V trans-columellar incisions sutured with rapidly absorbable suture material resulted in significantly less suture discomfort and did not significantly increase the risk of postoperative infection compared to nonabsorbable suture material. However, there was no significant difference between the two suture materials in terms of scar appearance.</br>.

Producción científica de la Universidad Nacional de Asunción en bases de datos internacionales

Introducción: La difusión y visibilidad de la producción científica son cruciales para lograr un impacto significativo. En este sentido, las bases de datos con cobertura internacional juegan un papel fundamental. Objetivo: Este estudio buscó caracterizar la producción científica de la Universidad Nacional de Asunción en 2022 mediante el análisis de tres bases de datos con cobertura internacional: Web of Science, Scopus y PubMed. Metodología: El estudio empleó un enfoque bibliométrico. Los registros bibliográficos fueron recolectados entre mayo y junio de 2023 utilizando la opción de búsqueda por afiliación "Universidad Nacional de Asunción" en las tres bases de datos. Los resultados de la búsqueda fueron filtrados en base a los criterios especificados por las bases de datos, limitando la búsqueda a artículos publicados en revistas científicas en el año 2022. Resultados: Se recogieron un total de 263 artículos, la mayoría de ellos publicados en revistas de alto impacto por editoriales reconocidas internacionalmente. El autor más prolífico tenía 30 artículos publicados, y la mayoría de los trabajos reflejaban la colaboración entre autores de la UNA como coautores. En cuanto al número de artículos por título de revista, el mayor número fue de 8, 7 y 4 artículos en Web of Science, Scopus y PubMed, respectivamente. Los editores más importantes de los artículos fueron Elsevier, Springer y Wiley, entre otros. Discusión: El análisis de los 263 artículos publicados indica la fuerte presencia de la Universidad Nacional de Asunción en revistas de alto impacto y editoriales de renombre internacional, particularmente en el campo de la Psiquiatría debido a la relevancia de la pandemia en la salud mental. Destaca la colaboración internacional de los autores de la UNA, pero hay margen de mejora, como la presentación uniforme de la afiliación universitaria. La indexación de los artículos en bases de datos internacionales es crucial para la visibilidad.

Introduction: The dissemination and visibility of scientific production are crucial for achieving significant impact. In this regard, databases with international coverage play a vital role. Objective: This study aimed to characterize the scientific production of the Universidad Nacional de Asunción in 2022 by analyzing three databases with international coverage: Web of Science, Scopus, and PubMed. Methodology: The study employed a bibliometric approach. The bibliographic records were collected between May and June 2023 using the search option by affiliation "Universidad Nacional de Asunción" in the three databases. The search results were filtered based on the criteria specified by the databases, limiting the search to articles published in scientific journals in 2022. Results: A total of 263 articles were collected, with most of them published in high-impact journals by internationally recognized publishers. The most prolific author had 30 published articles, and most papers reflected collaboration between UNA authors as co-authors. Regarding the number of articles per journal title, the highest number was 8, 7, and 4 articles in Web of Science, Scopus, and PubMed, respectively. The most important publishers of the articles were Elsevier, Springer, and Wiley, among others. Discussion: The analysis of the 263 published articles indicates the strong presence of the Universidad Nacional de Asunción in high-impact journals and internationally renowned publishers, particularly in the field of Psychiatry due to the relevance of the pandemic on mental health. The international collaboration of UNA authors stands out, but there is room for improvement, such as the uniform presentation of university affiliation. The indexing of the articles in international databases is crucial for visibility.

The effects of three environmental factors on building evacuation time.

Building fires can be considered a risk to the health and safety of occupants. Environmental factors in building fires might affect the speed of an evacuation. Therefore, in this study participants (N = 153) were tested in an experimental design for the effects of (1) a fire alarm, (2) darkness and (3) the use of emergency exit signs on building evacuation time. In addition, the effects of age and gender on evacuation time were investigated. The main results indicate that the combination of a fire alarm, darkness and not illuminated emergency exit signs had a significant negative influence on evacuation time, namely an increase in evacuation time of 26.6% respectively 28.1%. Another important finding is that age had a significant negative effect on evacuation time. The increase in evacuation time was at least 30.4% for participants aged 56 years or older compared to participants aged 18-25 years. For gender no significant effect was found. Building and safety managers can use these results by including longer evacuation time considerations - based on darkness and older age - in their evacuation plans. Future research should focus further on investigating the effects of personal and psychological characteristics on evacuation behaviour and evacuation time.

ABCNet: A comprehensive highway visibility prediction model based on attention, Bi-LSTM and CNN.

Meteorological disasters along highways significantly reduce road traffic efficiency. Low visibility caused by heavy fog is a severe meteorological disaster that greatly increases highway traffic accidents. Accurately predicting highway visibility and taking timely response measures can reduce the impact of meteorological disasters and improve traffic safety. We proposed an Attention-based BiLSTM-CNN (ABCNet) model, which synergized attention mechanisms with BiLSTM and CNN technologies to forecast atmospheric visibility more accurately. First, the Bi-LSTM module processed information both forward and backward, capturing intricate temporal dependencies in the model. Second, the multi-head attention mechanism following the Bi-LSTM distilled and prioritized salient features from multiple aspects of the sequence data. Third, the CNN module recognized local spatial features, and a singular attention mechanism refined the feature map after the CNN module, further enhancing the model's accuracy and predictive capability. Experiments showed that the model was accurate, effective, and significantly advanced compared to conventional models. It could fully extract the spatiotemporal characteristics of meteorological elements. The model was integrated into practical systems with positive results. Additionally, this study provides a self-collected meteorological dataset for highways in high-altitude mountainous areas.

Direct Measurement of Aerosol Liquid Water Content: A Case Study in Summer in Nanjing, China.

Aerosol liquid water content (ALWC) affects the mass loading, optical properties, and toxicity of aerosols. However, the measurement of ALWC is very rare due to its requirement of sophisticated instruments and its high operational costs. In this work, we improved on our previous simple, low-cost method by using a combination of one real-time fine particulate matter (PM2.5) monitor and two turbidimeters and successfully applied these for the direct measurement of ALWC in PM2.5 in Nanjing during the summer of 2023. The average ALWC during this measurement period occupied ~1/6 of the total PM2.5 mass, and this contribution was even greater with the elevation in the PM2.5 concentration. The ALWC was, as anticipated, closely related to the relative humidity (RH) and PM2.5 concentrations, but it did not always increase with the air quality index (AQI) due to the fact that polluted periods in summer were often governed by high O3 levels, not PM2.5 levels. The ALWC also had a great impact on visibility; it could decrease the visibility rapidly to hazy conditions when the dry PM2.5 was not high (~30 µg m-3) or the AQI was "good" (75~100), indicating that the air quality classified as "good" using the dry PM2.5 concentration might actually be "lightly polluted" if the ALWC is included. We also found that the air mass originating from Northeast China had the lowest PM2.5 mass concentration yet the highest ALWC values due to its high RH. Moreover, the quantification of ALWC levels can help us understand the solubility/bioavailability and thus the toxic effects of some specific components (for example, heavy metals or organics). Moreover, the influence of ALWC on air quality classifications should also be considered in the assessment of the health effects of air pollution and in public health early warning and protection.

Hand hygiene compliance in nursing home wards - the effect of increased accessibility of alcohol-based hand rub.

BACKGROUND: Elderly nursing home (NH) residents are vulnerable to infections due to age, weakened immune system and comorbidities. Furthermore, microorganisms are easily transmitted in shared facilities. Hand hygiene (HH) is considered one of the most important measures to prevent transmission. We determined the effect of increased accessibility to alcohol-based hand rub (ABHR) in NH wards by monitoring HH compliance (HHC) among healthcare workers (HCWs). METHODS: An 11-month intervention study was conducted in a Danish six-ward NH. Data were collected using an automatic hand hygiene monitoring system (AHHMS). After a baseline period, one extra ABHR dispenser was placed in each of the 150 apartments. We compared baseline HHC with the HHC during an immediate intervention period and a long-term intervention period. RESULTS: We included 159 HCWs. The AHHMS registered 341,078 HH opportunities. Overall baseline HHC was 31% (95% CI: 30-32). A significant +18% absolute immediate effect (first five months) (95% CI: 17-19; p<0.0001) and +13 percentage points (95% CI: 11, 14; p<0.0001) long-term effect (another four months) were recorded. HCWs working day shifts and short-term employees had a higher baseline HHC than HCWs working evening/night shifts. However, HCWs working night shifts achieved the greatest long-term effect with a mean +27 percentage point difference (p<0.0001). CONCLUSIONS: Placing an additional ABHR dispenser strategically within staff workflow significantly increased HHC among HCWs, showcasing a noteworthy effect. The study is the first to report the effect on NH dispenser accessibility as a single intervention and demonstrate a significant unmet potential.

Effects of road width, radii and speeds on collisions at three-arm priority intersections.

Simulation and observational studies have identified the importance of intersection geometries and vehicle speeds in collisions. However, the causal mechanisms of such collisions in low-speed areas and for different collision types remain unclear. This observational study investigates the complex relationships between geometries, speeds, visibilities, and road traffic collisions in the context of low-speed urban areas.Data were collected from 120 three-arm priority intersections in Portsmouth, UK. In 2007, Portsmouth became the first city in the UK to adopt a 20mph speed limit on all residential streets. The city has also adopted the UK's Manual for Streets (MfS) as the design standard for all new priority intersections in low-speed residential areas.Piecewise structural equation models (pSEM) were developed to represent the causal mechanisms that relate to geometries, speeds, speed limits and collisions. Findings indicate the role of combinations of approach lane width, corner radii, speed limit, and type of collision. The interaction of wider approach lanes on the minor arm and larger radii of turns for left-turning vehicles (left-hand driving perspective) was associated with higher numbers of road traffic collisions for right-turning vehicles. It is posited here that this is due to the orientation of the left-turning vehicle blocking the left visibility of the right-turning vehicle. These results give weight to the introduction of the 20mph speed limit zone in Portsmouth and some of the changes brought about by MfS. However, the combined effect of approach width and radii on collisions is novel and could form the basis of further guidance on reducing specific types of collisions at three-arm priority intersections.

Invisible cancers: Seeing, knowing, enacting and proving cancers in Haiti.

In Haiti, pathological confirmation of a cancer diagnosis is often delayed or impossible, imaging is expensive and imperfect, and many tests are unavailable. Physicians frequently struggle to establish cancers at a level of certainty required by "evidence based" standards, delaying definitive diagnosis and rendering some cancers permanently "suspected." I use 22 months of participant observation at the two largest cancer treatment programs in Haiti, as well as throughout Haiti's fragmented healthcare system, to look closely at processes of diagnosis and management of suspected 'cancers' which may never fully come to be. I argue that as global oncology becomes increasingly standardized, local practices are forced into alignment with a global knowledge basis that governs the knowability/unknowability of cancer. Using three case studies drawn from this work, I examine relationships among visibility, power, expertise and the replication of inequity through the governance of knowledge production. Finally, I examine the implications of these processes for cancer care in the global south.

Dynamic whole-body [18F]FES PET/CT increases lesion visibility in patients with metastatic breast cancer.

BACKGROUND: Correct classification of estrogen receptor (ER) status is essential for prognosis and treatment planning in patients with breast cancer (BC). Therefore, it is recommended to sample tumor tissue from an accessible metastasis. However, ER expression can show intra- and intertumoral heterogeneity. 16α-[18F]fluoroestradiol ([18F]FES) Positron Emission Tomography/Computed Tomography (PET/CT) allows noninvasive whole-body (WB) identification of ER distribution and is usually performed as a single static image 60 min after radiotracer injection. Using dynamic whole-body (D-WB) PET imaging, we examine [18F]FES kinetics and explore whether Patlak parametric images ( K i ) are quantitative and improve lesion visibility. RESULTS: This prospective study included eight patients with metastatic ER-positive BC scanned using a D-WB PET acquisition protocol. The kinetics of [18F]FES were best characterized by the irreversible two-tissue compartment model in tumor lesions and in the majority of organ tissues. K i values from Patlak parametric images correlated with K i values from the full kinetic analysis, r2 = 0.77, and with the semiquantitative mean standardized uptake value (SUVmean), r2 = 0.91. Furthermore, parametric K i images had the highest target-to-background ratio (TBR) in 162/164 metastatic lesions and the highest contrast-to-noise ratio (CNR) in 99/164 lesions compared to conventional SUV images. TBR was 2.45 (95% confidence interval (CI): 2.25-2.68) and CNR 1.17 (95% CI: 1.08-1.26) times higher in K i images compared to SUV images. These quantitative differences were seen as reduced background activity in the K i images. CONCLUSION: [18F]FES uptake is best described by an irreversible two-tissue compartment model. D-WB [18F]FES PET/CT scans can be used for direct reconstruction of parametric K i images, with superior lesion visibility and K i values comparable to K i values found from full kinetic analyses. This may aid correct ER classification and treatment decisions. Trial registration ClinicalTrials.gov: NCT04150731, https://clinicaltrials.gov/study/NCT04150731.

Direct lingam and visibility graphs for analyzing brain connectivity in BCI.

The brain-computer interface (BCI) is a direct pathway of communication between the electrical activity of the brain and an external device. The present paper was aimed to investigate directed connectivity between different areas of the brain during motor imagery (MI)-based BCI. For this purpose, two methods were implemented including, Limited Penetrable Horizontal Visibility Graph (LPHVG) and Direct Lingam. The visibility graph (VG) is a robust algorithm for analyzing complex systems such as the brain. Direct Lingam uses a non-Gaussian model to extract causal links which is appropriate for analyzing large-scale connectivity. First, LPHVG map MI-EEG (electroencephalogram) signals into networks. After extracting the topological features of the networks, a support vector machine classifier was applied to categorize multi-classes MI. The network of all classes was found to be different from one another, and the kappa value of classification was 0.68. The degree sequence of LPHVG was calculated for each channel in order to obtain the direction of brain information flow. Transfer entropy (TE) is used to compute the relations of the channel degree sequence. Therefore, the directed graph between channels was formed. This method is called LPHVG_TE directed graph. The Bayesian network, also known as the Direct LiNGAM model, was implemented for the second method. Finally, images of the LPHVG and Direct Lingam were classified by convolutional neural network (CNN). In this study, Data sets 2a of BCI competition IV was used. The outcomes reveal that the brain network developed by LPHVG (92.7%) might be more effective to distinguish 4 classes of MI than the Direct Lingam (90.6%) and it was shown that graph theory has the potential to get better efficiency of BCI.

Network Representation of fMRI Data Using Visibility Graphs: The Impact of Motion and Test-Retest Reliability.

Visibility graphs provide a novel approach for analysing time-series data. Graph theoretical analysis of visibility graphs can provide new features for data mining applications in fMRI. However, visibility graphs features have not been used widely in the field of neuroscience. This is likely due to a lack of understanding of their robustness in the presence of noise (e.g., motion) and their test-retest reliability. In this study, we investigated visibility graph properties of fMRI data in the human connectome project (N = 1010) and tested their sensitivity to motion and test-retest reliability. We also characterised the strength of connectivity obtained using degree synchrony of visibility graphs. We found that strong correlation (r > 0.5) between visibility graph properties, such as the number of communities and average degrees, and motion in the fMRI data. The test-retest reliability (Intraclass correlation coefficient (ICC)) of graph theoretical features was high for the average degrees (0.74, 95% CI = [0.73, 0.75]), and moderate for clustering coefficient (0.43, 95% CI = [0.41, 0.44]) and average path length (0.41, 95% CI = [0.38, 0.44]). Functional connectivity between brain regions was measured by correlating the visibility graph degrees. However, the strength of correlation was found to be moderate to low (r < 0.35). These findings suggest that even small movement in fMRI data can strongly influence robustness and reliability of visibility graph features, thus, requiring robust motion correction strategies prior to data analysis. Further studies are necessary for better understanding of the potential application of visibility graph features in fMRI.

The Need for Status, Organizational Citizenship Behavior, and Overall Evaluation: Focusing on the Moderating Effects of Political Skill and Task Visibility.

Drawing on the costly signaling theory (CST), this study examined the need for status as a hidden motive to increase organizational citizenship behavior (OCB) and result in the focal employee's overall evaluation. Moreover, as the activating cues, this study considered political skill as an individual characteristic and task visibility as a situational factor in the relationship between the need for status, OCB, and overall evaluation. To test these predictions, we obtained and analyzed 299 questionnaire responses from pairs of subordinates and supervisors in various South Korean industries. The analytical results supported our hypotheses that the need for status increased OCB, resulting in high performance appraisal. Moreover, task visibility positively moderated the relationship between the need for status and overall evaluation, which was mediated by OCB. However, political skill exhibited a negative moderation effect on this mediation process. These findings have important theoretical and practical implications, and they also highlight directions for future research.

Advances in functional coatings on biliary stents.

Biliary stenting is an important interventional method for the prevention and treatment of biliary tract diseases. However, complications, such as postoperative biliary infection and restenosis, frequently occur due to the extensive scope of the biliary system and the complex composition of bile. The combination of coating technology and biliary stents is expected to bring new approaches to the solution of these problems. The cutting-edge advance on functional coatings on biliary stents is reviewed from seven perspectives: anticorrosion, -bacterial, -tumor, stone-dissolving, X-ray visibility, antistent migration and functional composite coatings. The development trend is also discussed. Overall, the performance of the numerous functional coatings for various purposes is generally up to expectations, but the balance between the medications' effectiveness and their safety needs to be further adjusted. Many contemporary investigations have advanced to the level of animal experiments, offering crucial fundamental assurance for broader human studies. The combination of biliary stents and functional coatings is an innovative idea with great potential for future development.

Social visibility of consumption and conspicuous consumption: An empirical analysis of Chinese wedding ceremonies.

This study explores the transformative impact of a digital platform integrating social media platforms like WeChat and Weibo with social e-commerce applications such as RED on individuals' consumption behaviours. It examines how this influence reshapes personal image, builds social identity, and engages in various behaviours, particularly focusing on the social visibility of consumption during Chinese wedding celebrations. Through an online survey of 570 respondents who have hosted or plan to host wedding celebrations, we investigate whether the use of social media increases the likelihood of the social visibility of individual consumption. Our findings reveal a significant relationship between social media use and the social visibility of respondents' consumption. Moreover, a continual rise in the social visibility of respondents' consumption is associated with increased conspicuous consumption behaviour and display. While self-expression enhances the social visibility of consumption and its impact on brand awareness, this study does not identify a moderating effect of self-expression on the relationship between the social visibility of consumption and conspicuous consumption behaviour and display. These results give insight into the evolving role of digital platforms in shaping consumption patterns, particularly in the context of significant life events like weddings in China.

Supply chain digitalization and performance: A moderated mediation of supply chain visibility and supply chain survivability.

The COVID-19 crisis has notably impacted global supply chains as it has disrupted manufacturing operations. To recover from the aforementioned disruptions, supply chain digitalization [SCD] is increasingly being acknowledged to help the recovery process. Based on this, scholars have called for additional research on how SCD can enhance supply chain visibility [SCV] and boost supply chain performance [SCP] in turbulent environments. Based on 399 valid responses collected through cross-sectional method from Turkish manufacturing firms and using a non-probabilistic sampling method [i.e., purposive sampling], this research explores the effect of SCD on SCP. The mediating role of SCV and the moderating role of supply chain survivability [SCS] on the SCD-SCP relationship were also explored. The findings showed that SCD has a positive effect on SCP. SCD has a positive effect on SCV. SCV has a positive effect on SCP. The link between SCD and SCP is mediated by SCP. The results also revealed that SCS moderated the SCD-SCV link such that SCD has a stronger, positive relationship with SCV when SCS is high than when it's low. SCS moderates the SCD-SCP link, such that at low levels of SCS, the positive effect of SCD on SCP is weakened. The indirect positive effect of SCD on SCP via SCV is strongest when supply chain survivability is high. The findings suggest that SCD can improve cost-effectiveness, promote communication and information efficiency, and enhance supply chain resilience to improve performance after disruptions. This study provides insightful new implications for both supply chain literature and practitioners.

Being there and being with them: the effects of visibility affordance of online short fitness video on users' intention to cloud fitness.

Introduction: Cloud fitness is transforming indoor exercise for young people in China. Recent studies have explored the correlation between media use and health-promoting behavior by examining the motivation of individuals and the credibility of influencers. However, the role of media affordance has thus far been largely overlooked. Drawing on the theory of Stimulus-Organism-Response (SOR), the study investigated the indirect effect of visibility affordance on the intention to exercise with fitness influencers in the context of cloud fitness through psychological variables. Methods: This paper, based on the online survey data (N = 456), analyses the effect of visibility affordance on the intention to fitness following with influencers. A moderated parallel mediation model was constructed to examine the relationship among related variables. Results: The paper draws the following conclusions: (1) Visibility affordance is positively related to the intention to exercise with fitness influencers. (2) Both the sense of social presence and immersion positively mediate the relationship between visibility affordance and the intention to exercise with fitness influencers. (3) The perceived popularity of the influencer positively moderates the relationship between social presence and the intention to exercise with fitness influencers and moderates the mediating role of social presence. Discussion: Consequently, this study enhances the existing body of knowledge in exercise behavior and health communication literature, and provides practical implications for short video platform, influencers and individuals in promoting healthier behaviors.

Effects of propofol versus sevoflurane on surgical field visibility during arthroscopic rotator cuff repair: a randomized trial.

BACKGROUND: During arthroscopic rotator cuff repair (ARCR), clear surgical field visibility (SFV) is the basis of successful surgery, but the choice of anesthesia maintenance drugs may have different effects on SFV. In this study, we aimed to compare the effects of propofol- and sevoflurane-based general anesthesia on SFV in patients undergoing ARCR. METHODS: Patients (n = 130) undergoing elective ARCR in the lateral decubitus position were randomized into either the propofol group or sevoflurane group (65 per group). The duration of surgery and increased pressure irrigation (IPI), Boezaart score, rocuronium consumption and usage of remifentanil were recorded. The time of both spontaneous respiration recovery and extubation and the incidences of postoperative nausea and vomiting and agitation were also recorded. RESULTS: The Boezaart score, duration of IPI and ratio of the duration of IPI to the duration of surgery (IPI/S ratio) were similar between the groups (P > 0.05). Rocuronium consumption, number of patients requiring remifentanil infusion and total remifentanil consumption were significantly lower in the sevoflurane group (P < 0.05). The spontaneous respiration recovery time was significantly longer in the propofol group (P < 0.05), but there were no differences in the extubation time between the groups(P > 0.05). CONCLUSIONS: Compared with propofol, sevoflurane provides equally clear SFV while improving the convenience of anesthesia maintenance in ARCR patients with interscalene plexus (ISB) combined with general anesthesia. TRIAL REGISTRATION: This single-center, prospective, RCT was retrospective registered at Chinese Clinical Trial Registry with the registration number ChiCTR2300072110 (02/06/2023).

[Visibility of patients and respect for their privacy: reconciling apparently contrary imperatives in the intensive care unit]. / Visibilité des patients et respect de leur intimité : concilier des impératifs apparemment contraires en service de réanimation.

Rigorous monitoring of vital functions in intensive care requires optimal visibility of patients and their environment. Conversely, respect for privacy is an ethical imperative to respect. Liquid crystal electrical film is a device that can be applied to windows and can take opaque or transparent form on demand. Its use could satisfy the visibility of patients and respect for their privacy.

AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation.

The present dataset comprises a collection of RGB-D apple tree images that can be used to train and test computer vision-based fruit detection and sizing methods. This dataset encompasses two distinct sets of data obtained from a Fuji and an Elstar apple orchards. The Fuji apple orchard sub-set consists of 3925 RGB-D images containing a total of 15,335 apples annotated with both modal and amodal apple segmentation masks. Modal masks denote the visible portions of the apples, whereas amodal masks encompass both visible and occluded apple regions. Notably, this dataset is the first public resource to incorporate on-tree fruit amodal masks. This pioneering inclusion addresses a critical gap in existing datasets, enabling the development of robust automatic fruit sizing methods and accurate fruit visibility estimation, particularly in the presence of partial occlusions. Besides the fruit segmentation masks, the dataset also includes the fruit size (calliper) ground truth for each annotated apple. The second sub-set comprises 2731 RGB-D images capturing five Elstar apple trees at four distinct growth stages. This sub-set includes mean diameter information for each tree at every growth stage and serves as a valuable resource for evaluating fruit sizing methods trained with the first sub-set. The present data was employed in the research paper titled "Looking behind occlusions: a study on amodal segmentation for robust on-tree apple fruit size estimation" [1].