Zilpaterol in bovine liver, meat, heart, and kidney, determined by liquid chromatography-quadrupole-orbitrap high-resolution mass spectrometry.

An analytical method was developed for identification and quantification of zilpaterol in bovine liver, meat, heart, and kidney, using liquid chromatography coupled to quadrupole-Orbitrap high-resolution mass spectrometry (LC-Q-Orbitrap HRMS). It was validated in accordance with Commission Implementing Regulation (CIR) EU 2021/808 at six different concentrations, ranging from 0.1 to 5 µg/kg. The mean recoveries ranged from 71% to 99%, while the decision limit (CCα) and detection capability (CCß) ranges were 0.11-0.12 µg/kg and 0.13-0.15 µg/kg, respectively. The method demonstrated good linearity (R2 > 0.9996) and the limits of detection (LODs) and of quantification (LOQs) were in the range of 0.015-0.061 µg/kg and 0.025-0.091 µg/kg, respectively. Out of 200 samples collected from local markets in Egypt, 17 contained zilpaterol residues. Liver samples revealed the highest detection frequency (26%), followed by meat (6%), at mean concentrations of 2.64 and 1.93 µg/kg, respectively.

Determination of tetracycline residues in potatoes and soil by LC-MS/MS: Method development, validation, and risk assessment.

A method utilizing liquid-liquid extraction (LLE) coupled with liquid chromatography-tandem mass spectrometry (LC-MS/MS) was developed and validated according to the Commission Implementing Regulation (CIR) EU 2021/808 for quantifying four tetracyclines (TCs) in potatoes and soil. The method demonstrated recovery values ranging from 70 to 121% and precision (repeatability and within-laboratory reproducibility), with coefficient of variation (CV) values below 18% for all TCs in both matrices. The limits of quantification (LOQs) for the TCs ranged from 0.90 to 1.87 µg/kg in potatoes and from 0.68 to 1.25 µg/kg in soil. The decision limit (CCα) and detection capability (CCß) ranged from 10.4 to 12.3 µg/kg and 11.9 to 14.3 µg/kg, respectively. Analysis of 538 potato and soil samples from Egyptian farms revealed a 13.2% occurrence of TC residues, with a higher frequency in soil (19.33%) than in potatoes (7.06%). Target hazard quotient (THQ) values indicated that TC residues in potatoes do not pose a health risk to Egyptian consumers.

ß-Cyclodextrin-NHC-Au(I)-Catalyzed Enantioconvergent 1,5-Enyne Cycloisomerizations.

Enantioconvergent transformations from racemic mixtures are attractive since they allow the generation of optically active products with full conversion despite the possibly adverse kinetic resolution process. When dealing with gold(I)-catalyzed cycloisomerizations, chirality transfer from the precursor is another possible diverting pathway, which renders enantioconvergence challenging. Not surprisingly, enantioconvergent Au(I)-catalyzed processes have remained extremely rare. Herein we show that cavity-driven catalysis using ß-cyclodextrin-NHC-Au(I) complexes brings opportunities to conduct highly enantioconvergent cycloisomerizations of 1,5-enynes, -enynols, and, -enynyl esters.

A 12-month randomized controlled trial to assess the efficacy of revitalization of retreated mature incisors with periapical radiolucency in adolescents.

The use of regenrative endodontics is restoring the health status of the root canals of retreated mature teeth is a novel approach. Therefore, the current trial aimed to compare the effectiveness of regenerative endodontic procedures (REPs) to non-surgical root canal retreatment (NS-RCR) in reducing periapical radiolucency over one year for the retreatment of mature incisors with periapical periodontitis. The secondary purpose was to assess clinical success and regain pulp sensibility. A parallel randomized controlled trial, 66 mature incisors with periapical radiolucencies were randomly divided into two equal groups and retreated with either REPs or NS-RCR. At baseline and after 6 and 12 months, teeth were assessed clinically and radiographically using a periapical index (PAI). The Mann-Whitney test was used to analyze nonparametric PAI scores. The Electric pulp test readings were analyzed using the repeated measure analysis of variance (ANOVA). Over the follow-up intervals, there was no significant intergroup difference in the PAI medians, the majority of the teeth displayed a reduction in periapical radiolucency. At the end of the follow-up period, the clinical successes for the REP and NS-RCR groups were 93.9% and 97%, respectively (p = 0.555). Positive pulp sensibility was recorded in 54.54% of cases in the REPs after 12 months. Both approaches showed a comparable diminishing of periapical radiolucencies and equivalent clinical results. A conventional, non-surgical endodontic retreatment may not always be necessary.

Quick and high-throughput quantification of ß-agonist residues in bovine liver, meat, milk, kidney, poultry, and egg using dispersive solid phase extraction.

A reliable liquid chromatography coupled to quadrupole-Orbitrap high-resolution mass spectrometry (LC-Q-Orbitrap HRMS) method was developed for the simultaneous identification and quantification of 13 ß-agonist residues in bovine liver, meat, milk, kidney, poultry, and egg. Dispersive-solid phase extraction (d-SPE) using acetonitrile (ACN) was used to prepare the samples. The analyte in the extracts was separated on a reversed-phase Accucore aQ (50 mm × 2.1 mm, 2.6 µm) using a mobile phase of an aqueous solution containing 2 mM ammonium acetate and acetonitrile (ACN) 0.1 % formic acid. The method was validated in accordance with Commission Implementing Regulation (CIR) EU 2021/808 at six different concentrations ranging from 0.1 to 5 µg/kg. The mean recoveries ranged from 65 to 94 %, while repeatability and reproducibility values were all below 13 %. The linearity, as correlation coefficients (R2) ranged from 0.9955 to 0.9999. The decision limit (CCα) and detection capability (CCß) ranges were 0.11-0.13 µg/kg and 0.12-0.15 µg/kg, respectively. The limits of detection (LOD) and limits of quantification (LOQ) were in the range of 0.004-0.048 µg/kg and 0.010-0.075 µg/kg, respectively. Of the 180 samples that were collected from local markets in Egypt, 21.11 % had ß-agonist residues. The mean concentration (µg/kg) and detection frequency (%) of the most frequently found ß-agonist in the samples were as follows: terbutaline (2.63 µg/kg and 90 %), ractopamine (5.14 µg/kg and 23.3 %). The method's applicability was verified by successfully completing two rounds of proficiency testing (PT).

Assessment of olfactory recovery after COVID-19: cross-sectional study.

OBJECTIVE: This study aimed to evaluate recovery patterns of olfactory dysfunction among recovered COVID-19 patients, both subjective and objective, and correlate this recovery to the severity of the disease. METHODS: The study recruited 200 patients and assigned them to two equal groups, one of them was a control group. The olfactory function of the study group was assessed via subjective and objective methods at baseline and then monthly for three months, with changes in smell function reported at each visit. These patients underwent chemosensory testing using the Sniffin' Sticks test and completed the validated Arabic version of the Questionnaire of Olfactory Disorders-Negative Statements (QOD-NS). RESULTS: Olfactory dysfunction occurred on the first day of COVID-19 symptoms in 37% of participants. Subjective reports suggested smell recovery in 55% after 3 months, but Sniffin' Sticks showed only 1% with normal function, indicating persistent deficits in others. This study revealed smell recovery for 93% of participants (median 14 days), with most (58%) recovering within 2 weeks. No significant links were found between demographics, COVID-smell loss timing, and recovery speed. CONCLUSION: Three months after COVID-19, many patients perceive smell recovery, but objective tests reveal shockingly high rates of persistent dysfunction. Further follow-up with objective tests is vital to assess the true burden and potential long-term effects of smell loss.

Risk Factors for Recurrence of Nasal Polyps after Endoscopic Sinus Surgery in Patients with Allergic Chronic Rhino Sinusitis.

Rhino sinusitis, is a common inflammatory disease that affects the nasal cavity and paranasal sinuses in millions of individuals. Chronic sinusitis patients complain of a combination of nasal obstruction, rhinorrhea, post nasal drip and facial pain. To identify the risk factors of the recurrence of nasal polyps in chronic rhino sinusitis patients after endoscopic sinus surgery. After a review of 60 patients with chronic rhino sinusitis with failed medical treatment requiring FESS presenting in Kasr Alainy Hospital in Cairo University and October 6 University Hospital from May 2022 to March 2023. All patients were subjected to history taking, clinical examination including endoscopy, subjective evaluation of symptoms and CT-scan. Of our patients, six patients (15%) were diagnosed with recurrence of nasal polyps with chronic rhino sinusitis and needed revision surgery. There are multiple risk factors related to the recurrence of nasal polyps including smoking followed by having a history of an asthma, the presence of an allergy, septal deviation, prior sinus surgery, and turbinate hypertrophy. Other factors, as proper medical treatment such as topical steroids and treatment of allergy had a significant role in decreasing the recurrence rate. Risk factors related to the recurrence of nasal polyps should be avoided before surgery. The avoidance of risk factors protects the patients from the recurrence of nasal polyps, the hazards of anaesthesia on surgical treatment, and the financial cost of surgery. Follow up is important in the prevention of recurrence of nasal polyps and improves the symptoms.

A Recommender System for Increasing Energy Efficiency of Solar-Powered Smart Homes.

Photovoltaic installations can be environmentally beneficial to a greater or lesser extent, depending on the conditions. If the energy produced is not used, it is redirected to the grid, otherwise a battery with a high ecological footprint is needed to store it. To alleviate this problem, an innovative recommender system is proposed for residents of smart homes equipped with battery-free solar panels to optimise the energy produced. Using artificial intelligence, the system is designed to predict the energy produced and consumed for the day ahead using three data sources: sensor logs from the home automation solution, data collected by the solar inverter, and weather data. Based on these predictions, recommendations are then generated and ranked by relevance. Data collected over 76 days were used to train two variants of the system, considering or without considering energy consumption. Recommendations selected by the system over 14 days were randomly picked to be evaluated for relevance, ranking, and diversity by 11 people. The results show that it is difficult to predict residents' consumption based solely on sensor logs. On average, respondents reported that 74% of the recommendations were relevant, while the values contained in them (i.e., accuracy of times of day and kW energy) were accurate in 66% (variant 1) and 77% of cases (variant 2). Also, the ranking of the recommendations was considered logical in 91% and 88% of cases. Overall, residents of such solar-powered smart homes might be willing to use such a system to optimise the energy produced. However, further research should be conducted to improve the accuracy of the values contained in the recommendations.

Incidence of Post Total Laryngectomy Hypothyroidism: Effects of Thyroid Gland Surgery and Post-Operative Radiotherapy.

To record the incidence of hypothyroidism in patients after total laryngectomy, whether with or without postoperative radiation therapy and to analyze the effect of hemithyroidectomy for the development of hypothyroidism. A retrospective study included patients who underwent total laryngectomy (with or without hemithyroidectomy) between 2018 and 2021 for laryngeal carcinoma and/or received postoperative radiotherapy. Thirty-six (45%) of the 80 enrolled patients developed hypothyroidism after a median follow-up of 16 months. In this study, adjuvant radiation and central neck dissection were found to be significantly linked with developing post-operative hypothyroidism (p values: 0.001, 0.007, respectively). The incidence of hypothyroidism in patients treated for laryngeal carcinoma is high, especially after combination treatment of surgery and radiotherapy.

Influence of electrospinning parameters on biopolymers nanofibers, with emphasis on cellulose & chitosan.

Background: Electrospinning is an effective method for producing high-quality biopolymer nanofibers, such as cellulose and chitosan. Cellulose nanofibers have excellent mechanical properties and biocompatibility, making them a promising material for tissue engineering. Chitosan nanofibers are biodegradable, biocompatible, and antimicrobial, making them ideal for biomedical applications. The electrospinning parameters, including solution concentration, power supply voltage, orifice diameter, temperature, humidity, and flow rate, play a crucial role in determining the nanofiber diameter, morphology, and mechanical properties, as well as their suitability for various applications. Objective: This systematic review aims to synthesize and evaluate the current evidence on the influence of electrospinning parameters on the production and properties of cellulose and chitosan nanofibers. Methods: A comprehensive search of electronic databases was conducted to identify relevant studies. The inclusion criteria were studies that investigated the effect of electrospinning parameters on cellulose and chitosan nanofibers. Results: It was found that for cellulose, the average fiber diameter increased with increasing each of solution concentration, power supply voltage, orifice diameter, temperature, and humidity. Contrary to tip - collector distance and some optimal points in temperature, where average fiber diameter decreased. For chitosan, the change in voltage and tip to collector distance did not alter the average fiber diameter except for some readings of voltage, which behaved differently. On the other hand, the average fiber diameter increased with increasing flow rate. Conclusion: The review highlights the importance of considering electrospinning parameters in the production of high-quality biopolymer nanofibers and provides insights into the optimization of these parameters for specific applications. This review also highlights the need for further research to better understand the underlying mechanisms of electrospinning and to optimize the process to produce biopolymer nanofibers with improved properties.

A dataset on the physiological state and behavior of drivers in conditionally automated driving.

This dataset contains data of 346 drivers collected during six experiments conducted in a fixed-base driving simulator. Five studies simulated conditionally automated driving (L3-SAE), and the other one simulated manual driving (L0-SAE). The dataset includes physiological data (electrocardiogram (ECG), electrodermal activity (EDA), and respiration (RESP)), driving and behavioral data (reaction time, steering wheel angle, …), performance data of non-driving-related tasks, and questionnaire responses. Among them, measures from standardized questionnaires were collected, either to control the experimental manipulation of the driver's state, or to measure constructs related to human factors and driving safety (drowsiness, mental workload, affective state, situation awareness, situational trust, user experience). In the provided dataset, some raw data have been processed, notably physiological data from which physiological indicators (or features) have been calculated. The latter can be used as input for machine learning models to predict various states (sleep deprivation, high mental workload, ...) that may be critical for driver safety. Subjective self-reported measures can also be used as ground truth to apply regression techniques. Besides that, statistical analyses can be performed using the dataset, in particular to analyze the situational awareness or the takeover quality of drivers, in different states and different driving scenarios. Overall, this dataset contributes to better understanding and consideration of the driver's state and behavior in conditionally automated driving. In addition, this dataset stimulates and inspires research in the fields of physiological/affective computing and human factors in transportation, and allows companies from the automotive industry to better design adapted human-vehicle interfaces for safe use of automated vehicles on the roads.

Initial viral cycle threshold values in patients with COVID-19 and their clinical significance.

BACKGROUND: The connection between initial viral cycle threshold (Ct) values of the SARS-CoV-2 with symptoms and hospital course is not clearly studied. METHODS: This is a retrospective study of hospitalized COVID-19 patients from Jun 1st 2020 to March 30th, 2021 examining the relationship between initial viral cycle threshold (Ct) values of SARS-CoV-2 as obtained from nasopharyngeal samples. The clinical presentations and outcomes were analyzed in relation to the initial Ct values. RESULTS: The study included 202 hospitalized COVID-19 patients with a mean age (± SD) of 54.75 (± 15.93) and 123 (60.9%) males and 79 (39.1%) females. Of all the patients, the most frequent comorbidity was diabetes mellitus (95; 47%) and the most frequent symptoms were fever (148; 73.3%) and cough (141; 69.8%). There was no significant difference in relation to underlying conditions, clinical presentation, radiographic and laboratory data among those with low, medium and high Ct values. The mean Ct values showed no statistical change over the 10-month study period. CONCLUSIONS: Initial SARS-CoV-2 Ct values did not show any association with clinical symptoms and did not predict the need for mechanical intubation or death.

Carrying a passenger and relaxation before driving: Classification of young drivers' physiological activation.

Drivers are often held responsible for road crashes. Previous research has shown that stressors such as carrying passengers in the vehicle can be a source of accidents for young drivers. To mitigate this problem, this study investigated whether the presence of a passenger behind the wheel can be predicted using machine learning, based on physiological signals. It also addresses the question whether relaxation before driving can positively influence the driver's state and help controlling the potential negative consequences of stressors. Sixty young participants completed a 10-min driving simulator session, either alone or with a passenger. Before their driving session, participants spent 10 min relaxing or listening to an audiobook. Physiological signals were recorded throughout the experiment. Results show that drivers experience a higher increase in skin conductance when driving with a passenger, which can be predicted with 90%-accuracy by a k-nearest neighbors classifier. This might be a possible explanation for increased risk taking in this age group. Besides, the practice of relaxation can be predicted with 80% accuracy using a neural network. According to the statistical analysis, the potential beneficial effect of relaxation did not carry out on the driver's physiological state while driving, although machine learning techniques revealed that participants who exercised relaxation before driving could be recognized with 70% accuracy. Analysis of physiological characteristics after classification revealed several relevant physiological indicators associated with the presence of a passenger and relaxation.

Empathic and Empathetic Systematic Review to Standardize the Development of Reliable and Sustainable Empathic Systems.

Empathy plays a crucial role in human life, and the evolution of technology is affecting the way humans interact with machines. The area of affective computing is attracting considerable interest within the human-computer interaction community. However, the area of empathic interactions has not been explored in depth. This systematic review explores the latest advances in empathic interactions and behaviour. We provide key insights into the exploration, design, implementation, and evaluation of empathic interactions. Data were collected from the CHI conference between 2011 and 2021 to provide an overview of all studies covering empathic and empathetic interactions. Two authors screened and extracted data from a total of 59 articles relevant to this review. The features extracted cover interaction modalities, context understanding, usage fields, goals, and evaluation. The results reported here can be used as a foundation for the future research and development of empathic systems and interfaces and as a starting point for the gaps found.

Non-Intrusive Contact Respiratory Sensor for Vehicles.

In this work, we propose a low-cost solution capable of collecting the driver's respiratory signal in a robust and non-intrusive way by contact with the chest and abdomen. It consists of a microcontroller and two piezoelectric sensors with their respective 3D printed plastic housings attached to the seat belt. An iterative process was conducted to find the optimal shape of the sensor housing. The location of the sensors can be easily adapted by sliding them along the seat belt. A few participants took part in three test sessions in a driving simulator. They had to perform various activities: resting, deep breathing, manual driving, and a non-driving-related task during automated driving. The subjects' breathing rates were calculated from raw data collected with a reference chest belt, each sensor alone, and the fusion of the two. Results indicate that respiratory rate could be assessed from a single sensor located on the chest with an average absolute error of 0.92 min-1 across all periods, dropping to 0.13 min-1 during deep breathing. Sensor fusion did not improve system performance. A 4-pole filter with a cutoff frequency of 1 Hz emerged as the best option to minimize the error during the different periods. The results suggest that such a system could be used to assess the driver's breathing rate while performing various activities in a vehicle.

Conversational Agents for Health and Well-being Across the Life Course: Protocol for an Evidence Map.

BACKGROUND: Conversational agents, which we defined as computer programs that are designed to simulate two-way human conversation by using language and are potentially supplemented with nonlanguage modalities, offer promising avenues for health interventions for different populations across the life course. There is a lack of open-access and user-friendly resources for identifying research trends and gaps and pinpointing expertise across international centers. OBJECTIVE: Our aim is to provide an overview of all relevant evidence on conversational agents for health and well-being across the life course. Specifically, our objectives are to identify, categorize, and synthesize-through visual formats and a searchable database-primary studies and reviews in this research field. METHODS: An evidence map was selected as the type of literature review to be conducted, as it optimally corresponded to our aim. We systematically searched 8 databases (MEDLINE; CINAHL; Web of Science; Scopus; the Cochrane, ACM, IEEE, and Joanna Briggs Institute databases; and Google Scholar). We will perform backward citation searching on all included studies. The first stage of a double-stage screening procedure, which was based on abstracts and titles only, was conducted by using predetermined eligibility criteria for primary studies and reviews. An operational screening procedure was developed for streamlined and consistent screening across the team. Double data extraction will be performed with previously piloted data collection forms. We will appraise systematic reviews by using A Measurement Tool to Assess Systematic Reviews (AMSTAR) 2. Primary studies and reviews will be assessed separately in the analysis. Data will be synthesized through descriptive statistics, bivariate statistics, and subgroup analysis (if appropriate) and through high-level maps such as scatter and bubble charts. The development of the searchable database will be informed by the research questions and data extraction forms. RESULTS: As of April 2021, the literature search in the eight databases was concluded, yielding a total of 16,351 records. The first stage of screening, which was based on abstracts and titles only, resulted in the selection of 1282 records of primary studies and 151 records of reviews. These will be subjected to second-stage screening. A glossary with operational definitions for supporting the study selection and data extraction stages was drafted. The anticipated completion date is October 2021. CONCLUSIONS: Our wider definition of a conversational agent and the broad scope of our evidence map will explicate trends and gaps in this field of research. Additionally, our evidence map and searchable database of studies will help researchers to avoid fragmented research efforts and wasteful redundancies. Finally, as part of the Harnessing the Power of Conversational e-Coaches for Health and Well-being Through Swiss-Portuguese Collaboration project, our work will also inform the development of an international taxonomy on conversational agents for health and well-being, thereby contributing to terminology standardization and categorization. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/26680.

An Ecological Monitoring and Management App (EMMA) for Older Adults With Chronic Pain: Protocol for a Design and Feasibility Study.

BACKGROUND: Chronic pain is a complex problem for many older adults that affects both physical functioning and psychological well-being. Mobile health (mHealth) technologies have shown promise in supporting older persons in managing chronic conditions. Cognitive behavior therapy is recommended for older people with chronic pain. However, web-based treatment programs for chronic pain are not aimed at the needs of older people and offer standard therapies without providing tailored treatment for this population. OBJECTIVE: To address this problem, we aim to develop a psychological web-based intervention for ecological monitoring of daily life experiences with chronic pain called EMMA to support self-management of chronic pain in older adults. METHODS: The key clinical and engagement features of the intervention were established through the integration of evidence-based material from cognitive behavioral therapy for the treatment of chronic pain in older adults. The development process uses a co-design approach and actively involves end-users in the design process by incorporating feedback from focus groups with older adults in order to inform a user-centered intervention design. For the co-design process, we will include 10 older adults with chronic pain, who will discuss the requirements for the app in workshops in order to ensure suitability of the app for older adults with chronic pain. In order to test the feasibility and acceptability of the intervention, we will include a sample of 30 older adults with chronic pain who will test all features of the intervention for a period of 8 consecutive weeks. After the trial period, validated instruments will be used to assess usability and acceptability, as well as influence on pain levels and associated physical and psychological symptoms. Participants will be invited to take part in a semistructured telephone interviews after the trial period to explore their experiences using the app. RESULTS: Digitalization of the pain diary and psychotherapeutic content has started. Recruitment of participants for the co-design workshops will start as soon as we have a functioning prototype of the electronic pain diary and EMMA intervention, which is expected to be in September 2021. The feasibility study will start as soon as the co-design process is finished and required changes have been implemented into the pain diary and the EMMA intervention. We expect to start the feasibility study early in 2022. CONCLUSIONS: Required changes to assure usability and acceptability will be directly implemented in the app. EMMA brings together a strong body of evidence using cognitive behavioral and self-management theory with contemporary mHealth principles, allowing for a cost-effective intervention that can be used to target chronic pain anywhere and anytime by older adults. Given the ubiquity of mHealth interventions for chronic conditions, the results of this study may serve to inform the development of tailored self-management interventions. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/26930.

Classification of Drivers' Workload Using Physiological Signals in Conditional Automation.

The use of automation in cars is increasing. In future vehicles, drivers will no longer be in charge of the main driving task and may be allowed to perform a secondary task. However, they might be requested to regain control of the car if a hazardous situation occurs (i.e., conditionally automated driving). Performing a secondary task might increase drivers' mental workload and consequently decrease the takeover performance if the workload level exceeds a certain threshold. Knowledge about the driver's mental state might hence be useful for increasing safety in conditionally automated vehicles. Measuring drivers' workload continuously is essential to support the driver and hence limit the number of accidents in takeover situations. This goal can be achieved using machine learning techniques to evaluate and classify the drivers' workload in real-time. To evaluate the usefulness of physiological data as an indicator for workload in conditionally automated driving, three physiological signals from 90 subjects were collected during 25 min of automated driving in a fixed-base simulator. Half of the participants performed a verbal cognitive task to induce mental workload while the other half only had to monitor the environment of the car. Three classifiers, sensor fusion and levels of data segmentation were compared. Results show that the best model was able to successfully classify the condition of the driver with an accuracy of 95%. In some cases, the model benefited from sensors' fusion. Increasing the segmentation level (e.g., size of the time window to compute physiological indicators) increased the performance of the model for windows smaller than 4 min, but decreased for windows larger than 4 min. In conclusion, the study showed that a high level of drivers' mental workload can be accurately detected while driving in conditional automation based on 4-min recordings of respiration and skin conductance.

Design of an ergonomic gestural interface for professional road cycling.

BACKGROUND: Connected bike computers can support professional cyclists in achieving better performances but interacting with them requires taking their hands off the handlebar compromising focus and safety. OBJECTIVE: This research aims at exploring the design of an ergonomic interface based on micro-gestures that can allow cyclists to interact with a device while holding the handlebar. METHODS: Three different studies were conducted with seven professional cyclists adopting the gesture-elicitation technique. One study aimed at eliciting free micro-gestures; a second to evaluate gestures recognizable with a smart glove; the last focused on the gestures recognized through an interactive armband. RESULTS: The analysis of the micro-gestures elicited during these studies allowed producing a first set of guidelines to design gestural interfaces for drop-bars (a specific type of handlebar for road bikes). These guidelines suggest which fingers to use and how to design their movement in order to provide an ergonomic interface. It also introduces the principle of symmetry for the attribution of symbols to symmetric referents. Finally, it provides suggestions on the design of the interactive drop-bar. CONCLUSIONS: The guidelines provided in this paper can support the design of gestural interfaces for professional cyclists that can enhance performance and increase safety.

Objective Comparison Between Spreader Grafts and Flaps for Mid-Nasal Vault Reconstruction: A Randomized Controlled Trial.

OBJECTIVE: The goal of rhinoplasty is not exclusively aesthetic and the nasal function should always be considered. Several rhinoplasty techniques can participate in nasal valve dysfunction (eg, dorsal hump reductions). Therefore, mid-nasal vault reconstruction by spreader grafts or flaps is mandatory in these cases. To date, there is a literature gap in comparing both techniques objectively. This study shows an objective comparison between spreader grafts and flaps for mid-nasal vault reconstruction. MATERIAL AND METHODS: This study was a double-blind randomized controlled trial including 40 patients who were randomly divided into 2 groups. Group 1 (20 patients) underwent spreader grafts insertion, whereas group 2 (20 patients) underwent spreader flap placement technique. Pre-operative active anterior rhinomanometry measurements were compared to 6-month post-operative measurements. Data were summarized as mean (standard deviation) for the quantitative variables. Comparisons between the 2 groups were done using unpaired t test. RESULTS: In both groups, a significant decrease in nasal resistance was noted in both the right and left sides 6 months post-operatively (P < .001). However, the comparison between the 2 both groups showed no statistical significance. CONCLUSION: Both spreader grafts and flaps, which are used for the mid-nasal vault reconstruction, have comparable and effective results in reducing the nasal resistance as evidenced by active anterior rhinomanometry measurements.

HISTORIQUE: La rhinoplastie n'a pas seulement un objectif esthétique. En effet, il faut toujours tenir compte de la fonction nasale. Plusieurs techniques de rhinoplastie peuvent entraîner une dysfonction de la valve nasale, par exemple en cas de réduction de la bosse dorsale. Dans ces situations, il faut absolument procéder à une reconstruction de la voûte nasale par greffes ou lambeaux d'extension. Jusqu'à présent, les publications scientifiques n'ont pas comparé pas objectivement les deux techniques. La présente étude contient une comparaison objective entre des greffes et des lambeaux d'extension lors de la reconstruction de la voûte nasale. OBJECTIF: La présente étude présente une comparaison objective entre les greffes et les lambeaux d'extension lors de la reconstruction de la voûte nasale. MÉTHODOLOGIE: La présente étude aléatoire et contrôlée à double insu comptait 40 patients répartis au hasard entre deux groupes. Le groupe 1 (20 patients) a subi l'insertion de greffes d'extension et le groupe 2 (20 patients), la technique d'installation de lambeaux d'extension. Les chercheurs ont comparé les mesures de rhinamométrie antérieure active obtenues avant l'opération à celles obtenues six mois après l'opération. Ils ont résumé les données relatives aux variables quantitatives à l'aide de l'écart-type moyen et standard. Ils ont comparé les deux groupes à l'aide du test de Student non apparié. RÉSULTATS: Dans les deux groupes, la résistance nasale latérale droite et gauche avait diminué considérablement six mois après l'opération (P < 0,001). Cependant, d'après la comparaison entre les deux groupes, cette différence n'était pas statistiquement significative. CONCLUSION: Les greffes et les lambeaux d'extension utilisés pour la reconstruction de la voûte nasale, donnent des résultats comparables et efficaces pour réduire la résistance nasale, tel que le démontrent les mesures de rhinamométrie antérieure active.