Laboratory Setting Research Articles

Modulating fine flavor cocoa attributes: Impact of seed-to-bean transformation under controlled conditions on metabolite, volatile and sensory profiles

Fine-flavored chocolates are distinguished by their complex and distinct flavor profiles, which includes notes such as floral, fruity, nutty, and spicy. This study sought to modulate the flavor development of chocolates by establishing controlled processing conditions during the transformation from seed to bean in a laboratory setting, to produce superior quality chocolates. Our experimental setup comprised two varying temperature levels (30 °C and 45 °C) and three organic acids (OAs: acetic, lactic, and citric acids) at concentrations of 1–30 g/L to adjust the pH of the transformation system. Our study focused on how these conditions affect the development of distinct flavor profiles in chocolate bars, emphasizing the enhancement of fine-flavor notes. Flavor development was monitored through the untargeted metabolomics of cocoa beans and analyzing the volatile compounds and sensory profiles of the resultant chocolates. This study revealed that OA concentration markedly influenced metabolite formation, particularly affecting peptides, volatile organic compounds, and flavor notes. Chocolates derived from seeds processed with 30 g/L acid solutions demonstrated enhanced fruitiness and acidity, whereas those processed with 1 g/L acid solutions exhibited pronounced nuttiness and cocoa taste attributes but lower acidity. These findings underscore the significance of meticulously managing flavor development processes to produce fine-flavored chocolates with unique aromatic profiles. Crucially, variables in the controlling process, such as temperature and pH, are essential for fine-tuning flavor attributes, enabling the correlation and identification of key quality biomarkers to elucidate flavor development pathways.

Incorporating perovskites in photovoltaic-powered electrochemical cells for a sustainable future: An inclusive review

Due to the escalating demand for energy across all sectors, traditional energy sources are proving insufficient to meet our requirements. Moreover, their extensive use is exacerbating environmental issues. Consequently, solar energy has garnered significant attention due to its affordability, cleanliness, and abundance. This review presents an analysis of various solar cell systems, comparing their efficiency, cost, and stability based on literature spanning the past decade. While perovskite-based solar cells have demonstrated promising performance in laboratory settings, challenges with stability hinder their industrial-scale implementation. On the other hand, perovskites exhibit favorable catalytic properties, making them suitable for the electrochemical reduction of CO2. To address stability concerns, this review proposes structural engineering approaches aimed at maximizing electricity generation from solar energy to power electrochemical cells for CO2 reduction in the environment.

Should I Evaluate My Augmented Reality System in an Industrial Environment? Investigating the Effects of Classroom and Shop Floor Settings on Guided Assembly.

Numerous prior studies have investigated real-time assembly instructions using Augmented Reality (AR). However, most such experiments were conducted in laboratory settings with simplistic assembly tasks, failing to represent real-world industrial conditions. To ascertain to what extent results obtained in a laboratory environment may differ from studies in actual industrial environments, we carried out a user study with 32 manufacturing apprentices. We compared assembly task execution results in two settings, a classroom and an industrial workshop environment. To facilitate the experiments, we developed AR-guided manual assembly systems for simple and more complex assets. Our findings reveal a significantly improved task performance in the industrial workshop, reflected in faster task completion times, fewer errors, and subjectively perceived higher flow. This contradicted participants' subjective ratings, as they expected to perform better in the classroom environment. Our results suggest that the actual manufacturing environment is critical in evaluating AR systems for real-world industrial applications.

Abnormal Autonomic Nervous Regulation in Patients with Globus Pharyngeus.

Globus pharyngeus could be described as a benign sensation of lump or foreign object in the throat. The etiology of the globus as a solitary syndrome is still unknown, but it is proposed that stress could have an important role in symptom emergence. To evaluate the autonomic nervous regulation in patients with globus compared to healthy controls in reaction to stress. Patients included in the study were diagnosed based on ROME IV criteria for Disorders of Gut Brain Interaction. Besides globus, the patients did not suffer any other substantial medical condition. As a control group, measurement of healthy volunteers was performed. Both groups underwent the same stress protocol assessment in the same laboratory settings. The protocol consist of two types of stressors: cold pressor test and mental arithmetic test to test different types of autonomic reactivity. Baroreflex sensitivity was significantly decreased in patients compared to controls in all phases of the protocol. Low-frequency band of systolic blood pressure variability was significantly increasedduring both stress phases in patients compared to controls. High-frequency band of heart rate variability was significantly decreased in patients compared to controls during the both of the stress phases. The results of this study shows discrete abnormalities in complex autonomic reflex control which are predominantly manifested in response to stressful stimuli indicating altered neurocardiac regulation as a reaction to stress associated with globus pharynegus. This fact could have an important role in the personalized management of globus patients such as biofeedback.

Strain mode measurement of asphalt pavements using distributed fibre optic sensor data

This paper proposes a method for measuring strain modes in asphalt pavements using distributed fibre optic strain sensor data. A processing algorithm based on cross power spectral density (CPSD) was developed to utilize high spatial resolution strain data to determine the CPSD peak frequency and corresponding relative amplitude. The proposed method was applied in both laboratory and field settings, comparing the results of distributed fibre optic cables with those of accelerometers or theoretical solutions to validate accuracy. Local heating of asphalt structures was used to test the sensitivity of the measured strain modes to changes in material properties. The results demonstrate that different fibre optic cables can provide peak frequencies comparable to traditional accelerometers (±0.6 Hz). Additionally, they offer relative amplitude with a resolution of 1 cm, achieving a modal assurance criterion exceeding 0.95 when compared to theoretical strain mode shapes. The method also sensitively reflects material property changes at different positions within the asphalt structure. This indicates that the proposed approach can effectively measure strain modes in asphalt structures, offering a more detailed understanding of the distribution of structural properties compared to traditional methods.

Validity and reliability of running gait measurement with the ViMove2 system.

Running biomechanics have traditionally been analysed in laboratory settings, but this may not reflect natural running gait. Wearable technology has the potential to enable precise monitoring of running gait beyond the laboratory. This study aimed to evaluate the analytical validity and intra-session reliability of temporal running gait outcomes measured by the ViMove2 wearable system in healthy adults. Seventy-four healthy adults (43 males, 31 females, aged 18-55 years) wore the inertial device, ViMove2 on the tibia. Participants ran on a treadmill for one minute at various speeds (8, 10, 12, 14km/hr), completed in a standardised shoe (Saucony Guide Runner). Running gait was measured with the ViMove2 wearable and 3D motion capture (Vicon). Temporal running gait outcomes included ground contact time (GCT) and cadence (steps/min). GCT and cadence from the ViMove2 had face validity with expected changes in outcome with different running speeds, but ViMove2 tended to over-estimate GCT, and under-estimate cadence compared to the reference, especially at slower speeds. GCT demonstrated moderate to good agreement to the reference at speeds >10km/hr, but poor agreement at 8km/hr and within female runners. Cadence had moderate to excellent agreement across speeds compared to the reference. GCT and cadence had excellent reliability across speeds, but at 8km/hr GCT had good agreement between trials. Overall, temporal gait outcomes of GCT and cadence can be measured with the ViMove2, but accuracy and reliability are impacted at slow running speeds and within female runners. Future work is needed to clarify sex or speed-dependent corrections to algorithms / outcomes to aid interpretation and application.

Lessons From 3 Longitudinal Sensor-Based Human Behavior Assessment Field Studies and an Approach to Support Stakeholder Management: Content Analysis.

Pervasive technologies are used to investigate various phenomena outside the laboratory setting, providing valuable insights into real-world human behavior and interaction with the environment. However, conducting longitudinal field trials in natural settings remains challenging due to factors such as low recruitment success and high dropout rates due to participation burden or data quality issues with wireless sensing in changing environments. This study gathers insights and lessons from 3 real-world longitudinal field studies assessing human behavior and derives factors that impacted their research success. We aim to categorize challenges, observe how they were managed, and offer recommendations for designing and conducting studies involving human participants and pervasive technology in natural settings. We developed a qualitative coding framework to categorize and address the unique challenges encountered in real-life studies related to influential factor identification, stakeholder management, data harvesting and management, and analysis and interpretation. We applied inductive reasoning to identify issues and related mitigation actions in 3 separate field studies carried out between 2018 and 2022. These 3 field studies relied on gathering annotated sensor data. The topics involved stress and environmental assessment in an office and a school, collecting self-reports and wrist device and environmental sensor data from 27 participants for 3.5 to 7 months; work activity recognition at a construction site, collecting observations and wearable sensor data from 15 participants for 3 months; and stress recognition in location-independent knowledge work, collecting self-reports and computer use data from 57 participants for 2 to 5 months. Our key extension for the coding framework used a stakeholder identification method to identify the type and role of the involved stakeholder groups, evaluating the nature and degree of their involvement and influence on the field trial success. Our analysis identifies 17 key lessons related to planning, implementing, and managing a longitudinal, sensor-based field study on human behavior. The findings highlight the importance of recognizing different stakeholder groups, including those not directly involved but whose areas of responsibility are impacted by the study and therefore have the power to influence it. In general, customizing communication strategies to engage stakeholders on their terms and addressing their concerns and expectations is essential, while planning for dropouts, offering incentives for participants, conducting field tests to identify problems, and using tools for quality assurance are relevant for successful outcomes. Our findings suggest that field trial implementation should include additional effort to clarify the expectations of stakeholders and to communicate with them throughout the process. Our framework provides a structured approach that can be adopted by other researchers in the field, facilitating robust and comparable studies across different contexts. Constantly managing the possible challenges will lead to better success in longitudinal field trials and developing future technology-based solutions.

Biomechanical Analysis of Diffuse Idiopathic Skeletal Hyperostosis and Osteoporosis: Vertebral Fracture Risk Evaluation Using Finite Element Modeling with Clinical and Micro-CT Data in an Elderly Donor

Introduction: Biomechanical analysis of spinal structures is crucial in the evaluation of injuries, the risk of fracture, and age-related changes. Osteoporotic vertebrae are very fragile and therefore constitute a serious risk, especially in the elderly. Methods: At present, clinically relevant decision making in fracture risk assessment is predicated upon finite element analysis (FEA), which utilizes high-resolution computed tomography (CT) scans from clinical practice alongside micro-CT scans from laboratory settings. Of particular interest is the utilization of cortical vertebral body thicknesses, as meticulously measured via micro-CT. The data from a body donation over 80 years old with diffuse idiopathic skeletal hyperostosis (DISH) and osteoporosis (OP) were utilized through FEA to evaluate stresses in cortical and trabecular bone and to predict the stiffness and deformability of the examined vertebral bodies. Results: The investigation revealed a higher density of cortical and cancellous bone in vertebrae affected by DISH. Cortical density was highest in the thoracic section (median 188 µm), while cancellous bone density was 222 HU in the cervical vertebrae. The load on cortical bone increased as we progressed towards the lumbar spine; however, it remained quite constant in cancellous bone. Despite a low bone density, we registered no fractures in vertebrae. Conclusions: The data showed that DISH increased the thickness of the cortical bone and the density of the cancellous bone. The combination of increased cortical and cancellous bone density might reduce the risk of fracture in patients with low bone density. These conclusions emphasize the significance of biomechanical properties in the assessment of fracture risk and have important implications for clinical practice, particularly in relation to the prevention of vertebral fractures in osteoporotic patients with DISH.

The detection and utilization of volatile metabolomics in Klebsiella pneumoniae by gas chromatography-ion mobility spectrometry

This research aimed to analyze the volatile compounds emitted during the proliferation of Klebsiella pneumoniae (K. pneumoniae) in the laboratory setting using gas chromatography-ion mobility spectrometry (GC-IMS) and to investigate the potential of volatile metabolomics for detecting carbapenemase-producing strains of K. pneumoniae. The volatile metabolomics of K. pneumoniae were comprehensively analyzed using GC-IMS in tryptic soy broth (TSB) as the culture medium. Afterward, the growth stabilization period (T2) served as the primary time point for analysis, with the introduction of imipenem and carbapenemase inhibitors (avibactam sodium or EDTA) during the exponential growth phase (T0) to further investigate alterations in volatile molecules associated with K. pneumoniae. Standard strains were utilized as references, while clinical strains were employed for validation purposes. At T2, a total of 22 volatile organic compounds (VOCs) associated with K. pneumoniae were identified (3 VOCs found in both monomer and dimer forms). Significant differences in VOCs were observed between carbapenemase-negative and carbapenemase-positive strains, both standard and clinical, following the introduction of imipenem. Furthermore, the addition of avibactam sodium led to distinct changes in the VOC content of strains producing class A carbapenemase, while the addition of EDTA resulted in specific alterations in the volatile metabolic profiles of strains producing class B carbapenemase. GC-IMS demonstrated significant promise for analyzing bacterial volatile metabolomics, and its application in evaluating the volatolomics of K. pneumoniae may facilitate the timely detection of carbapenemase-producing strains.

Connection-Aware Digital Twin for Mobile Adhoc Networks in the 5G Era

5G Mobile Adhoc Networks (5G-MANETs) are a popular and agile solution for data transmission in local contexts while maintaining communication with remote entities via 5G. These characteristics have established 5G-MANETs as versatile communication infrastructures for deploying contextual applications, leveraging physical proximity while exploiting the possibilities of the Internet. As a result, there is growing interest in exploring the potential of these networks and their performance in real-world scenarios. However, the management and monitoring of 5G-MANETs are challenging due to their inherent characteristics, such as highly variable topology, unstable connections, energy consumption of individual devices, message routing, and occasional inability to connect to 5G. Considering these challenges, the proposed work aims to address real-time monitoring of 5G-MANETs using a connection-aware Digital Twin (DT). The approach provides two main functions: offering a live virtual representation of the network, even in scenarios where multiple nodes lack 5G connectivity, and estimating the performance of the infrastructure, enabling the specification of customized conditions. To achieve this, a communication architecture is proposed, analyzing its components and defining the involved processes. The DT is implemented and evaluated in a laboratory setting, assessing its accuracy in representing the physical network under varying conditions of topology and Internet availability. The results show 100% accuracy for the DT in fully connected topologies, with ultra-low latency averaging under 80 ms, and suitable performance in partially connected contexts, with latency averages below 3000 ms.

A Real-Life Laboratory Setting for Clinical Practice, Education, and Research in Family Systems Care: Protocol for a Transformational Action Research Study.

Burdening health and illness issues such as physical or mental illnesses, accidents, disabilities, and life events such as birth or death influence the health and functioning of families and contribute to the complexity of care and health care costs. Considerable research has confirmed the benefits of a family systems-centered care approach for patients, family caregivers, families, and health care professionals. However, health care professionals face barriers in working with families, such as feeling unprepared. Family systems-centered therapeutic conversations support families' day-to-day coping, resilience, and health. A family systems care unit (FSCU) was recently established as a real-life laboratory at one of the Swiss Universities of Applied Sciences. In this unit, health care professionals offer therapeutic conversations to families and individual family members to support daily symptom management and functioning, soften suffering, and increase health and well-being. These conversations are observed in real time through a 1-way window by other health care professionals, students, and trainees and are recorded with video for research and education. Little is known about how therapeutic conversations contribute to meaningful changes in burdened families and the benefits of vicarious learning in a real-life laboratory setting for family systems care. In this research program, we aim to deepen our understanding of how therapeutic conversations support families and individuals experiencing burdening health and illness issues and how the FSCU laboratory setting supports the learning of students, clinical trainees, and health care professionals. Here we apply a transformational action research design, including parallel and subsequent substudies, to advance knowledge and practice in family systems care. Qualitative multiple-case study designs will be used to explore the benefits of therapeutic conversations by analyzing recordings of the therapeutic conversations. The learning processes of students, trainees, and professionals will be investigated with descriptive qualitative study designs based on single and focus group interviews. The data will be analyzed with established coding methods. Therapeutic conversations have been investigated in 3 single-case studies, each involving a sequence of 3 therapeutic conversation units. Data collection regarding the second research question is planned. Preliminary results confirm the therapeutic conversations to support families' coping. This renders the FSCU a setting for ethically sensitive research. This program will not only support the health and well-being of families, but also contribute to relieving the financial and workforce burdens in the health and social care system. DERR1-10.2196/53090.

Emotional aftermath of the 2020 U.S. presidential election: a study of hindsight bias in younger and older adults

ABSTRACT Hindsight bias – also known as the knew-it-all-along effect – is a ubiquitous judgment error affecting decision makers. Hindsight bias has been shown to vary across age groups and as a function of contextual factors, such as the decision maker’s emotional state. Despite theoretical reasons why emotions might have a stronger impact on hindsight bias in older than in younger adults, age differences in hindsight bias for emotional events remain relatively underexplored. We examined emotion and hindsight bias in younger and older adults (N = 272) against the backdrop of the 2020 U.S. presidential election. Participants predicted electoral college votes for the two presidential candidates before the election and were asked to remember their predictions approximately three weeks later, after the election results had been finalised. Republicans, for whom the electoral outcome was negatively tinged, exhibited greater hindsight bias for President Biden’s result compared with Democrats, for whom the electoral outcome was positive. The asymmetry in hindsight bias between Republicans and Democrats was similar for younger and older participants. This study suggests that negative emotions may exacerbate hindsight bias, and that adult age differences in hindsight bias observed in laboratory settings may not translate to real-world contexts.

Over the counter hearing aids self-fitting using the Gaussian Process Classification

IntroductionTo provide better access to hearing aids and lower the devices' costs for patients with mild to moderate hearing loss, the Food and Drug Administration (FDA) changed its rules for hearing aid distribution, making them available to consumers over-the-counter without the supervision, involvement, or prescription of a licensed health care professional. While this regulation provides some patients direct access to hearing aids, the hearing aid fitting creates challenges for the patients and the hearing aid providers. OTC hearing aids should be programmable outside of a clinical setting. This study demonstrates that the self-fitting of hearing aids does not differ significantly from and is non-inferior to the fitting of the device by a licensed audiologist.MethodHearing aid and patient performance after fitting the device by the patient (self-fitting) and a certified audiologist (clinical fitting) were compared in a laboratory setting and a field trial. The laboratory session used a repeated-measures design to assess the reliability and validity of the self-fitting method. A 7–14 days of wear time was used for the field study. The outcome measures for the laboratory session were the differences in acoustical real-ear aided response (REAR). For the wear-time trial, the outcome was the clinical self-report measure of benefit (Abbreviated Profile of Hearing Aid Benefit, APHAB). The benefit of the hearing aid was tested after the self-fitting and the clinical fitting of the hearing aid with a speech-in-noise test (QucikSIN).ResultsThe test outcomes showed no statistically significant differences between repeated self-fitting and clinical fitting of the hearing aids. The hearing aid self-fitting was non-inferior to the clinical fitting.DiscussionIt is important to emphasize that the results and conclusion obtained in this study strictly relate to the specific self-fitting process using the Gaussian Process. Many other potential methods for fitting hearing aids exist and future field studies are required to compare the efficacy of the self-fitting methods.

Tab the lab: A typology of public sector innovation labs

Many public sector organizations set up innovation laboratories in response to the pressure to tackle societal problems and the high expectations placed on them to innovate public services. Our understanding of the public sector innovation laboratories’ role in enhancing the innovation capacity of administrations is still limited. It is challenging to assess or compare the impact of innovation laboratories because of how they operate and what they do. This paper closes this research gap by offering a typology that organizes the diverse nature of innovation labs and makes it possible to compare various lab settings. The proposed typology gives possible relevant factors to increase the innovation capacity of public organizations. The findings are based on a literature review of primarily explorative papers and case studies, which made it possible to identify the relevant criteria. The proposed typology covers three dimensions: (1) value (intended innovation impact of the labs); (2) governance (role of government and financing model); and (3) network (stakeholders in the collaborative arrangements). Comparing European countries and regions with regards to the repartition of labs shows that Nordic and British countries tend to have broader scope than continental European countries. Points for practitioners Public sector innovation (PSI) labs can help to approach innovation collaboratively across organizational boundaries. It is, however, necessary in this context to find the setup that best addresses an organization's needs or strategic ambitions. The proposed typology is based on criteria relevant for designing PSI labs. Being able to distinguish the different labs helps practitioners to choose models that fit their purposes and learn from existing labs.

Real and Virtual Lecture Rooms: Validation of a Virtual Reality System for the Perceptual Assessment of Room Acoustical Quality

Enhancing the acoustical quality in learning environments is necessary, especially for hearing aid (HA) users. When in-field evaluations cannot be performed, virtual reality (VR) can be adopted for acoustical quality assessments of existing and new buildings, contributing to the acquisition of subjective impressions in lab settings. To ensure an accurate spatial reproduction of the sound field in VR for HA users, multi-speaker-based systems can be employed to auralize a given environment. However, most systems require a lot of effort due to cost, size, and construction. This work deals with the validation of a VR-system based on a 16-speaker-array synced with a VR headset, arranged to be easily replicated in small non-anechoic spaces and suitable for HA users. Both objective and subjective validations are performed against a real university lecture room of 800 m3 and with 2.3 s of reverberation time at mid-frequencies. Comparisons of binaural and monoaural room acoustic parameters are performed between measurements in the real lecture room and its lab reproduction. To validate the audiovisual experience, 32 normal-hearing subjects were administered the Igroup Presence Questionnaire (IPQ) on the overall sense of perceived presence. The outcomes confirm that the system is a promising and feasible tool to predict the perceived acoustical quality of a room.

Validation of a triiodothyronine (T3) ELISA for mouse fecal samples.

Acquiring sufficient blood for hormone analysis in mice can be a limiting step. Hormone analysis techniques using non-invasive sample collection have been vigorously developed for endangered species, from whom blood sampling is prohibited, or from species that are otherwise difficult to handle in a laboratory setting. Because there are interactions between glucocorticoids and thyroid hormones (T3 and T4), reducing the animal's "distress" during sample collection is imperative. Measurement of fecal T3 provides less sensitive, baseline information regarding thyroid function while permitting a non-invasive technique for more frequent sampling. We demonstrated that using a methanol extraction protocol produced the most reliable fecal T3 measurement in an enzyme-linked immunosorbent assay (ELISA). We found that during a thyroid hormone-treated state, fecal and plasma T3 measurements from mice are directly related, while during a methimazole-treated state, fecal and plasma T3 measurements from mice are inversely related. Fecal samples are a useful way to monitor thyroid hormone function in laboratory mice.

The Significance of the Myocardial Performance Index and Fetal Doppler Abnormalities in Growth-Restricted Fetuses: A Systematic Review of the Literature

Introduction: This review aims to investigate the clinical implications of using the myocardial performance index (MPI), obtained through tissue Doppler imaging (TDI) and spectral Doppler, in assessing fetal cardiac function in growth-restricted fetuses. It explores the MPI’s potential in predicting adverse perinatal outcomes and its utility when combined with conventional pulsed-wave Doppler assessments for enhanced fetal well-being evaluations. Material and Methods: A systematic search of PubMed and Google Scholar databases spanning from 2004 to 2023 was conducted to identify pertinent articles on the MPI’s clinical application in managing growth-restricted fetuses. Inclusion criteria followed the Fetal Medicine Barcelona definition of fetal growth restriction (FGR) to mitigate study group heterogeneity. The research sources were PubMed and Google Scholar databases, and the review was conducted without any specific clinical or laboratory setting. Only articles meeting the inclusion criteria for FGR, as per the Fetal Medicine Barcelona definition, were considered. Six studies meeting these criteria were included in the review. The review analyzed the correlation between MPI values and conventional Doppler parameters, investigating the progression of myocardial function impairment and its association with the risk of fetal demise. The primary outcome measures included the relationship between MPI values, fetal well-being, and the potential for prenatal cardiac dysfunction in growth-restricted fetuses. Results: The findings indicate that as conventional Doppler parameters deteriorate, MPI values increase, suggesting progressive myocardial dysfunction. The MPI may cross the 95th percentile before abnormal flow in the ductus venosus and aortic isthmus, highlighting the potential for diastolic dysfunction preceding hypoxia in growth-restricted fetuses. Elevated MPI levels were observed in both growth-restricted and small-for-gestational-age (SGA) fetuses, indicating prenatal cardiac impairment. The strong association between an abnormal MPI and perinatal mortality has been shown for early FGR. Conclusions: MPI alterations appear to precede abnormal Doppler parameters in early- and late- onset FGR, potentially indicating diastolic dysfunction preceding hypoxia. Additionally, the MPI correlates with the risk of fetal demise. However, larger studies are needed to establish its sensitivity and specificity. Furthermore, the significance of prenatal cardiac impairment in some SGA fetuses raises questions about its potential impact on perinatal outcomes and cardiovascular programming.

Acceptability of Digital Mental Health Interventions for Depression and Anxiety: Systematic Review.

Depression and anxiety disorders are common, and treatment often includes psychological interventions. Digital health interventions, delivered through technologies such as web-based programs and mobile apps, are increasingly used in mental health treatment. Acceptability, the extent to which an intervention is viewed positively, has been identified as contributing to patient adherence and engagement with digital health interventions. Acceptability, therefore, impacts the benefit derived from using digital health interventions in treatment. Understanding the acceptability of digital mental health interventions among patients with depression or anxiety disorders is essential to maximize the effectiveness of their treatment. This review investigated the acceptability of technology-based interventions among patients with depression or anxiety disorders. A systematic review was performed based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) and PROSPERO (International Prospective Register of Systematic Reviews) guidelines. We searched PubMed, Web of Science, and Ovid in May 2022. Studies were included if they evaluated digital interventions for the treatment of depression or anxiety disorders and investigated their acceptability among adult patients. Studies were excluded if they targeted only specific populations (eg, those with specific physical health conditions), investigated acceptability in healthy individuals or patients under the age of 18 years, involved no direct interaction between patients and technologies, used technology only as a platform for traditional care (eg, videoconferencing), had patients using technologies only in clinical or laboratory settings, or involved virtual reality technologies. Acceptability outcome data were narratively synthesized by the direction of acceptability using vote counting. Included studies were evaluated using levels of evidence from the Oxford Centre for Evidence-Based Medicine. The risk of bias was assessed using a tool designed for this review and GRADE (Grading of Recommendations, Assessment, Development, and Evaluation). A total of 143 articles met the inclusion criteria, comprising 67 (47%) articles on interventions for depression, 65 (45%) articles on interventions for anxiety disorders, and 11 (8%) articles on interventions for both. Overall, 90 (63%) were randomized controlled trials, 50 (35%) were other quantitative studies, and 3 (2%) were qualitative studies. Interventions used web-based programs, mobile apps, and computer programs. Cognitive behavioral therapy was the basis of 71% (102/143) of the interventions. Digital mental health interventions were generally acceptable among patients with depression or anxiety disorders, with 88% (126/143) indicating positive acceptability, 8% (11/143) mixed results, and 4% (6/143) insufficient information to categorize the direction of acceptability. The available research evidence was of moderate quality. Digital mental health interventions seem to be acceptable to patients with depression or anxiety disorders. Consistent use of validated measures for acceptability would enhance the quality of evidence. Careful design of acceptability as an evaluation outcome can further improve the quality of evidence and reduce the risk of bias. Open Science Framework Y7MJ4; https://doi.org/10.17605/OSF.IO/SPR8M.

Changes in heavy metal levels in the oral fluid of young patients with and without plaque-induced gingivitis undergoing treatment with braces

Relevance. Research into the effects of nickel-titanium alloys and heavy metal ions on the development of inflammatory oral diseases is becoming increasingly significant in orthodontics. The relationship between toxic elements and inflammatory responses remains under-researched and controversial. Data on the connection between heavy metals and inflammatory reactions could influence the choice of orthodontic appliance materials and guide the subsequent management and monitoring of patients with braces. The question of the safe use of nickel-titanium alloy braces continues to be a relevant concern.Purpose. To assess the levels of heavy metals in the oral fluid of young patients with braces, both in those who developed plaque-induced gingivitis and those who did not.Materials and Methods. The study involved 50 clinically healthy patients (Groups I and II health categories) with intact teeth, including patients with compensated dental caries (isolated carious lesions – Grade I) and no periodontal diseases (PMA index <20), presenting with dental crowding and malocclusion (K07.2, K07.3). The average age of the patients was 22.1 ± 2.7 years, all of whom were undergoing treatment with metal braces. Oral fluid samples were analyzed for 12 heavy metal elements using inductively coupled plasma mass spectrometry (ICP-MS) in a laboratory setting. Additionally, lysozyme activity and oral fluid pH were measured before appliance placement and six months into orthodontic treatment.Results. Adaptation to braces in young patients is frequently complicated by the development of gingivitis and periodontitis due to impaired oral hygiene and the mechanical pressure exerted on teeth and gums, leading to elemental imbalances. Patients with gingivitis during orthodontic treatment are particularly at risk of developing such imbalances and therefore require timely correction of their mineral metabolism.

A comprehensive evaluation of an artificial intelligence based digital pathology to monitor large-scale deworming programs against soil-transmitted helminths: A study protocol.

Manual screening of a Kato-Katz (KK) thick stool smear remains the current standard to monitor the impact of large-scale deworming programs against soil-transmitted helminths (STHs). To improve this diagnostic standard, we recently designed an artificial intelligence based digital pathology system (AI-DP) for digital image capture and analysis of KK thick smears. Preliminary results of its diagnostic performance are encouraging, and a comprehensive evaluation of this technology as a cost-efficient end-to-end diagnostic to inform STH control programs against the target product profiles (TPP) of the World Health Organisation (WHO) is the next step for validation. Here, we describe the study protocol for a comprehensive evaluation of the AI-DP based on its (i) diagnostic performance, (ii) repeatability/reproducibility, (iii) time-to-result, (iv) cost-efficiency to inform large-scale deworming programs, and (v) usability in both laboratory and field settings. For each of these five attributes, we designed separate experiments with sufficient power to verify the non-inferiority of the AI-DP (KK2.0) over the manual screening of the KK stool thick smears (KK1.0). These experiments will be conducted in two STH endemic countries with national deworming programs (Ethiopia and Uganda), focussing on school-age children only. This comprehensive study will provide the necessary data to make an evidence-based decision on whether the technology is indeed performant and a cost-efficient end-to-end diagnostic to inform large-scale deworming programs against STHs. Following the protocolized collection of high-quality data we will seek approval by WHO. Through the dissemination of our methodology and statistics, we hope to support additional developments in AI-DP technologies for other neglected tropical diseases in resource-limited settings. The trial was registered on September 29, 2023 Clinicaltrials.gov (ID: NCT06055530).