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Acta Oto-laryngologica Mar 2024Follow-up of cochlear implant effectiveness is mainly focused on 3 years postoperatively, and studies with more than 5 years of observation are rare, especially for...
BACKGROUND
Follow-up of cochlear implant effectiveness is mainly focused on 3 years postoperatively, and studies with more than 5 years of observation are rare, especially for local Chinese brands.
OBJECTIVES
Nurotron (Chinese domestic cochlear implant brand) CI recipients who participated in the clinical trial in 2009 were followed-up for 10 years prospectively, providing data to guide doctors and patients.
MATERIAL AND METHODS
From December 2009 to April 2010, 57 subjects underwent Nurotron Venus CI surgery at multiple-centers, and were continued to be followed up and assessed at 1, 2, 3, 4, 5, and 10 years after switch on.
RESULTS
All recipients were successfully implanted with CIs with no difficulty in subsequent use with one reported case of re-implantation at 9 years after implantation. The aided hearing thresholds were significantly improved at one month after switch on ( < 0.0001) and remained stable afterwards for 10 years. Speech recognition scores were significantly higher than pre-operative results ( < 0.05) and continued to improve till 3 years after switch on. At 10 years post-operation, most subjects had improved QOL scores in most sub-items.
CONCLUSIONS AND SIGNIFICANCE
Nurotron Venus CI System provides long-term, stable results in hearing speech assistance capabilities and can improve the quality of life of CI recipients.
Topics: Humans; Cochlear Implants; Follow-Up Studies; Male; Female; Adult; Middle Aged; China; Quality of Life; Young Adult; Cochlear Implantation; Hearing Loss; Prospective Studies; Adolescent; Aged; Child; Speech Perception; East Asian People
PubMed: 38824490
DOI: 10.1080/00016489.2024.2355216 -
PloS One 2024Road crack detection is one of the important parts of road safety detection. Aiming at the problems such as weak segmentation effect of basic U-Net on pavement crack,...
Road crack detection is one of the important parts of road safety detection. Aiming at the problems such as weak segmentation effect of basic U-Net on pavement crack, insufficient precision of crack contour segmentation, difficult to identify narrow crack and low segmentation accuracy, this paper proposes an improved U-net network pavement crack segmentation method. VGG16 and Up_Conv (Upsampling Convolution) modules are introduced as backbone network and feature enhancement network respectively, and the more abstract features in the image are extracted by using the Block depth separable convolution blocks, and the multi-scale features are captured and enhanced by higher level semantic information to improve the recognition accuracy of narrow cracks in the road surface. The improved network embedded the Ca(Channel Attention) attention mechanism in U-net's jump connection to enhance the crack portion to suppress background noise. At the same time, DG_Conv(Depthwise GSConv Convolution) module and UnetUp(Unet Upsampling) module are added in the decoding part to extract richer features through more convolutional layers in the network, so that the model pays more attention to the detailed part of the crack, so the segmentation accuracy can be improved. In order to verify the model's ability to detect cracks in complex backgrounds, experiments were carried out on CFD and Deepcrack datasets. The experimental results show that compared with the traditional U-net network F1-score and mIoU have increased by 13.6% and 9.9% respectively. Superior to advanced models such as U-net, Segnet and Linknet in accuracy and generalization ability, the improved model provides a new method for asphalt pavement crack detection. The model is more conducive to practical application and ground deployment, and can be applied in road maintenance projects.
Topics: Hydrocarbons; Neural Networks, Computer; Algorithms; Construction Materials; Humans
PubMed: 38820536
DOI: 10.1371/journal.pone.0300679 -
PloS One 2024The prevalence of diabetes has increased globally where Type 2 Diabetes Mellitus (T2DM) is more common than any other type of diabetes. Self- care management education...
INTRODUCTION
The prevalence of diabetes has increased globally where Type 2 Diabetes Mellitus (T2DM) is more common than any other type of diabetes. Self- care management education of diabetes provides skills and information for diabetic patients to effectively perform their own self diabetic self-care for optimum glycemic index control. As T2DM is a growing health issue in Fiji, promoting diabetes self manages among patients is a need, however there is lack of evidence in this regard. Therefore, the aim of this study is to explore the perception of T2DM patients on diabetic self-care management.
METHOD
This study used a qualitative method among T2DM patients regarding diabetic self-care management in Central Division, Fiji in 2022. This study was conducted in SOPD (Special Out Patient Department) clinics in the three chosen governmental health centers in the central division of Fiji. The study sample inclusion criteria were only T2DM patients, and no other types of diabetes, patients who are 18years and above, patients who are attending clinic at least for more than 6 months, self-identified as Fijian participants of any ethnicity or gender. The study settings were also purposively selected but the study sample was selected using purposive sampling. In depth interview using semi-structured open-ended questionnaires was used to collect data. Thematic analysis was done, followed by reviewing themes, defining and naming them.
RESULTS
Thirty patients participated in this study. Five major themes emerged from the in-depth interview including; patient factors that affect diabetes self-care management, behavior and attitude towards T2DM self-care management, health services delivery, challenges and barriers faced by patients to perform diabetes self-care management, and recommendations to improve patient self-care management. Patients in this study have good knowledge about T2DM and the self-care management they have to perform. It is the patients' attitude and behavior towards T2DM self-care management that affects patients to perform self-care management. The study also showed patients have gained good knowledge from Health Care Workers (HCW). Socio-economic and psychological status also played a vital part in patients' self-care management. Apart from challenges, there were opportunities to learn the difficulties patients face in order to perform self-care management.
CONCLUSION
The results of this study revealed a combination of individual, cultural, and health systematic related factors as the mots influencer of diabetes self-management among patients in Fiji. Patients have to take ownership of their own health in order to improve their blood sugar reading and reduce complication of diabetes. Tailored interventions that consider patients' belief and address potential challenges would be useful. A lot is needed in terms of upgrading facilities for the comfort of patients and need to collaborate more with other multidisciplinary team and stakeholders.
Topics: Humans; Diabetes Mellitus, Type 2; Fiji; Male; Female; Middle Aged; Self Care; Adult; Aged; Surveys and Questionnaires; Health Knowledge, Attitudes, Practice; Perception
PubMed: 38820419
DOI: 10.1371/journal.pone.0304708 -
Heliyon May 2024HIV testing coverage among males having sex with males (MSM) and transgender women (locally known as ) is low in Bangladesh. Oral fluid-based HIV self-testing (HIVST)...
BACKGROUND
HIV testing coverage among males having sex with males (MSM) and transgender women (locally known as ) is low in Bangladesh. Oral fluid-based HIV self-testing (HIVST) may improve coverage due to its convenience and privacy but is yet to be tested in Bangladesh. Therefore, the acceptability and feasibility of supervised HIVST was examined.
METHODS
A cross-sectional study was conducted among 379 MSM and selected from five geographical regions from February-October 2020. Semi-structured questionnaire was used to examine socio-demographics, risk behaviors, and perception to acceptability and feasibility (correct completion) of HIVST. Both bivariate and multivariable logistic regression analyses were performed. Qualitative data collection encompassed in-depth interviews (N = 19), key informant interviews (N = 10), and two focus group discussions (N = 12). Line-by-line content, contextual and thematic analysis were done and triangulated to explore facilitators and challenges of HIVST among MSM and .
RESULTS
Among 379 participants, the acceptability of HIVST was 99.5 % (n = 377). Reasons for acceptability included interest in independent testing (84.3 %), peer influence (57.3 %), quicker-easier procedure (54.9 %), and painless procedure (52.5 %). Qualitative findings revealed participant's risk perceptions, empowering feelings, social stigma, complementing working hours, and convenience during COVID-19 lockdowns. Around 92 % of the participants correctly completed HIVST. In multivariable analysis, the likelihood of correct test conduction was found higher among metropolitan, younger, married, educated, and participants who felt confident during HIVST process. Qualitative findings underscored the importance of supervising the use of HIVST for first-time users. Participants, particularly the less educated groups, highlighted the video demonstration as a useful tool in the context of difficulties in reading the textual instructions. However, most participants pointed out the result interpretation as the trickiest part of HIVST. All participants demonstrated willingness for future HIVST, were interested in social media-based approaches (84 %), were willing to purchase subsidized kits, and preferred conducting future tests alone at home (83.2 %).
CONCLUSION
Oral fluid-based HIVST was an acceptable and feasible approach for MSM and in Bangladesh who were willing to do future tests independently after the supervised approach. Willingness to purchase kits and interest for social media-based approaches indicate scalability and sustainability potential of HIVST.
PubMed: 38818164
DOI: 10.1016/j.heliyon.2024.e31477 -
Frontiers in Public Health 2024In 1995, the World Health Organization launched its Global School Health Initiative to expand the Health Promoting School (HPS). The objective of this study was to...
INTRODUCTION
In 1995, the World Health Organization launched its Global School Health Initiative to expand the Health Promoting School (HPS). The objective of this study was to explore the perception of the school community in implementing nutrition-friendly school initiatives in preschool settings.
METHODS
This paper delineates the exploratory phase of a mixed-method study, which broadly aims to assess the adoption of the Nutrition Friendly School Initiative (NFSI) through a preschool preparedness intervention package in rural Sindh province, Pakistan. The study sites include three campuses of the Aga Khan School (Mirpur Sakro, Junior Campus Vur, and a community-based school in Sujawal). Participants were selected purposively from these campuses and constituted a committee named 'school community,' which was responsible for implementing all activities outlined in the intervention package. Data was gathered through in-depth interviews and consultative meeting with the school community. Thematic analysis was employed for data analysis.
RESULTS
The analysis established five major themes that represent the participants' perception of school-based nutrition interventions in preschool settings. These five themes include (i) Challenges in health and nutrition for pre-school age children, (ii) Clarity in roles and responsibilities for school-based nutrition intervention, (iii) Advancing school-based nutrition activities and interventions, (iv) Recognizing resources requirements, (v) Opportunities and challenges for the way forward in school-based nutrition. Findings also suggest sustainability and scalability measures that include the aligning School Nutrition Policy with the school handbook, ways to engage with parents, a nutrition theme corner, the inclusion of a parenting component in the nutrition manual, and capacity building of the school community.
CONCLUSION
Qualitative findings have guided the refinement of the intervention package, proposing additional measures for sustainability and scalability across AKES, P. The school community is hopeful that the implementation of the refined intervention package will enhance preschool preparedness toward achieving nutrition-friendly school checklist items. This study holds strong potential for replication in a public school setting and presents an opportunity to launch a school accreditation program to certify schools as Nutrition-friendly.
Topics: Humans; Pakistan; Child, Preschool; Rural Population; School Health Services; Schools; Female; Male; Health Promotion; Food Services; Perception; Qualitative Research; Nutrition Policy
PubMed: 38813413
DOI: 10.3389/fpubh.2024.1379229 -
I-Perception 2023The aims of this paper are twofold: first, to discuss and analyze the concept of binocular disparity and second, to contrast the traditional "air theory" of...
The aims of this paper are twofold: first, to discuss and analyze the concept of binocular disparity and second, to contrast the traditional "air theory" of three-dimensional vision with the much older "ground theory," first suggested by Ibn al-Haytham more than a thousand years ago. The origins of an "air theory" of perception can be traced back to Descartes and subsequently to the philosopher George Berkeley, who claimed that distance "could not be seen" because points lying along the same line of sight (in an empty space) would all project to the same location on the retina. However, Descartes was also aware that the angle of convergence of the two eyes could solve the problem of the "missing" information for the monocular observer and, since then, most visual scientists have assumed that eye vergence plays an important role both in judging absolute distance and for scaling retinal size and binocular disparities. In contrast, al-Haytham's and Gibson's "ground theories," which are based on the geometry of the textured ground plane surface that has surrounded us throughout evolution and during our lifetimes, are not just more ecologically based but they also obviate the need for .
PubMed: 38812612
DOI: 10.1177/20416695231202726 -
IEEE Transactions on Pattern Analysis... May 2024We study multi-sensor fusion for 3D semantic segmentation that is important to scene understanding for many applications, such as autonomous driving and robotics. For...
We study multi-sensor fusion for 3D semantic segmentation that is important to scene understanding for many applications, such as autonomous driving and robotics. For example, for autonomous cars equipped with RGB cameras and LiDAR, it is crucial to fuse complementary information from different sensors for robust and accurate segmentation. Existing fusion-based methods, however, may not achieve promising performance due to the vast difference between the two modalities. In this work, we investigate a collaborative fusion scheme called perception-aware multi-sensor fusion (PMF) to effectively exploit perceptual information from two modalities, namely, appearance information from RGB images and spatio-depth information from point clouds. To this end, we first project point clouds to the camera coordinate using perspective projection. In this way, we can process both inputs from LiDAR and cameras in 2D space while preventing the information loss of RGB images. Then, we propose a two-stream network that consists of a LiDAR stream and a camera stream to extract features from the two modalities, separately. The extracted features are fused by effective residual-based fusion modules. Moreover, we introduce additional perception-aware losses to measure the perceptual difference between the two modalities. Last, we propose an improved version of PMF, i.e., EPMF, which is more efficient and effective by optimizing data pre-processing and network architecture under perspective projection. Specifically, we propose cross-modal alignment and cropping to obtain tight inputs and reduce unnecessary computational costs. We then explore more efficient contextual modules under perspective projection and fuse the LiDAR features into the camera stream to boost the performance of the two-stream network. Extensive experiments on benchmark data sets show the superiority of our method. For example, on nuScenes test set, our EPMF outperforms the state-of-the-art method, i.e., RangeFormer, by 0.9% in mIoU. Compared to PMF, EPMF also achieves 2.06× acceleration with 2.0% improvement in mIoU. Our source code is available at https://github.com/ICEORY/PMF.
PubMed: 38809744
DOI: 10.1109/TPAMI.2024.3402232 -
BMC Health Services Research May 2024Adolescents living with Human Immunodeficiency Virus (HIV) have an increased risk of depression, negatively affecting their adherence to antiretroviral therapy (ART) and...
BACKGROUND
Adolescents living with Human Immunodeficiency Virus (HIV) have an increased risk of depression, negatively affecting their adherence to antiretroviral therapy (ART) and treatment outcomes. Integrating mental health care in HIV care and treatment settings improves comprehensive care. However, integration remains challenging in Tanzania, like in other high-burden and low-resource settings. The overall objective of this work is to inform the development of a psychological intervention for depression in adolescents living with HIV (ALWHIV). We describe perceived barriers and opportunities for implementing an integrated, evidence-based psychological intervention to manage adolescent depression in HIV care and treatment centers (HIV-CTC) from the perspectives of adolescents, caregivers, and healthcare providers (HCPs) in Dar es Salaam, Tanzania.
METHODS
To inform intervention development and implementation, this study utilized a qualitative design through a phenomenological approach informed by the Consolidated Framework for Implementation Research (CFIR) to explore implementation barriers and facilitators in ALWHIV, HCPs, and caregivers. Forty-five in-depth interviews were conducted in three HIV-CTCs in Kinondoni Dar es Salaam. Audio records were transcribed verbatim and analyzed deductively through NVIVO software.
RESULTS
Barriers to implementing an integrated psychological intervention to address depression in ALWHIV included (A) poor mental health awareness among caregivers, adolescents, HCPs, and policy-makers, (B) high level of stigma against mental health care, (C) poor communication between adolescents and HCPs concerning mental health care, (D) lack of contextualized intervention of proven effectiveness and guidelines of mental health care, and (E) inadequate mental health care supportive supervision and mentorship. Facilitators for implementation included supportive infrastructure, positive pressure from HIV implementing partners, tension for change, and participant's perception of the advantage of a psychological intervention as compared to just usual HIV care and treatment counseling.
CONCLUSION
Despite several modifiable barriers to implementing a psychological intervention in HIV CTC, there were encouraging facilitators and opportunities for implementing an integrated, evidence-based psychological intervention to address depression in ALWHIV in Kinondoni Dar es Salaam, Tanzania.
Topics: Humans; Adolescent; Tanzania; HIV Infections; Male; Female; Qualitative Research; Depression; Psychosocial Intervention; Caregivers; Social Stigma; Interviews as Topic; Delivery of Health Care, Integrated
PubMed: 38807134
DOI: 10.1186/s12913-024-11118-5 -
Psychonomic Bulletin & Review May 2024When processing visual scenes, we tend to prioritize information in the foreground, often at the expense of background information. The foreground bias has been...
When processing visual scenes, we tend to prioritize information in the foreground, often at the expense of background information. The foreground bias has been supported by data demonstrating that there are more fixations to foreground, and faster and more accurate detection of targets embedded in foreground. However, it is also known that semantic consistency is associated with more efficient search. Here, we examined whether semantic context interacts with foreground prioritization, either amplifying or mitigating the effect of target semantic consistency. For each scene, targets were placed in the foreground or background and were either semantically consistent or inconsistent with the context of immediately surrounding depth region. Results indicated faster response times (RTs) for foreground and semantically consistent targets, replicating established effects. More importantly, we found the magnitude of the semantic consistency effect was significantly smaller in the foreground than background region. To examine the robustness of this effect, in Experiment 2, we strengthened the reliability of semantics by increasing the proportion of targets consistent with the scene region to 80%. We found the overall results pattern to replicate the incongruous effect of semantic consistency across depth observed in Experiment 1. This suggests foreground bias modulates the effects of semantics so that performance is less impacted in near space.
PubMed: 38806789
DOI: 10.3758/s13423-024-02515-2 -
Scientific Reports May 2024The resolution of traffic congestion and personal safety issues holds paramount importance for human's life. The ability of an autonomous driving system to navigate...
The resolution of traffic congestion and personal safety issues holds paramount importance for human's life. The ability of an autonomous driving system to navigate complex road conditions is crucial. Deep learning has greatly facilitated machine vision perception in autonomous driving. Aiming at the problem of small target detection in traditional YOLOv5s, this paper proposes an optimized target detection algorithm. The C3 module on the algorithm's backbone is upgraded to the CBAMC3 module, introducing a novel GELU activation function and EfficiCIoU loss function, which accelerate convergence on position loss l, confidence loss l, and classification loss l, enhance image learning capabilities and address the issue of inaccurate detection of small targets by improving the algorithm. Testing with a vehicle-mounted camera on a predefined route effectively identifies road vehicles and analyzes depth position information. The avoidance model, combined with Pure Pursuit and MPC control algorithms, exhibits more stable variations in vehicle speed, front-wheel steering angle, lateral acceleration, etc., compared to the non-optimized version. The robustness of the driving system's visual avoidance functionality is enhanced, further ameliorating congestion issues and ensuring personal safety.
PubMed: 38806585
DOI: 10.1038/s41598-024-62629-4