Miracle-dz/UniFAR-FTUs huggingface dataset:
Digital health interventions for improving mental health outcomes and wellbeing for youth with type 1 diabetes: A systematic review

Digital health interventions are a promising alternative to face‐to‐face psychosocial interventions that may improve psychological outcomes in youth with diabetes. Several reviews have explored the efficacy of digital health interventions for adults and youth with some chronic health conditions; however, their efficacy among youth with type 1 diabetes is not known. This systematic review aims to assess digital health interventions targeting both psychological and physical health outcomes in youth with type 1 diabetes as well as to evaluate study quality and efficacy, and provide directions for future research in this area. Relevant studies were identified through searches conducted in MEDLINE, Embase, APA PsycInfo, Scopus, Cochrane Central, and CINAHL Plus up until February 2021. Studies were included if they were randomized; reported at least one psychological outcome that was assessed at ≥2 time points; included a digital health intervention; and were conducted in youth aged 5 to 25 years with type 1 diabetes. The revised Cochrane risk‐of‐bias (RoB 2) tool was used to assess risk of bias. Of the 5159 articles found, 15 met the inclusion criteria and were included in the review. Self‐efficacy improved in 2 of the 3 studies which assessed self‐efficacy; however, no consistent improvements were found for other psychological, behavioral, or physical outcomes. All studies showed some risk of bias concerns. More research is needed to make firm conclusions on the efficacy of digital health interventions for youth with diabetes. More specifically, interventions based on psychological theories are needed and studies of higher quality methodologies.
Polarization reconfigurable CPW‐fed square slot antenna using pin diodes

A novel reconfigurable coplanar waveguide (CPW)‐fed square slot antenna with switchable polarization is presented. The proposed antenna is fed by a CPW, with two T‐shaped metal strips connected to ground plane using pin‐diodes. Switching between right‐hand circular polarization (RHCP) and left‐hand circular polarization (LHCP) is achieved by turning the pin‐diodes on or off. The designed antenna is implemented and measured. It shows that the proposed antenna has broad CP bandwidth in both RHCP and LHCP states. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 1233–1236, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22476
THE SYNTHETIC HAZE SIMULATION BASED ON VISIBILITY RANGE FOR DEHAZING METHOD IN SINGLE IMAGE

Outdoor images are typically degraded by light scattering and absorption from aerosols, such as dust, mist, and smoke in the atmosphere. Because of poor visibility, dimmed brightness, low contrast, and colour distortion, these phenomenons affect the captured image. Therefore, it is a critical challenge to recover pictures taken in a haze condition, which is called image dehazing. The primary aim of image dehazing is to improve details on visibility, edge, and texture and retain the image structure and colours without data loss. There are no proven benchmarks for their assessment, despite the many algorithms suggested for single image dehazing. In previous publications, arbitrary comparisons were mostly focused on a small number of images, with different publications using different sets of images. This paper presents a new dataset that includes image pairs of hazy and corresponding outdoor images that are haze-free (ground-truth). Most of the current hazy database presented in a single image simulated synthetic haze indicated complicated calculation of the depth map. Unlike most of the current dehazing databases, a synthetic haze, which is determined by the atmospheric scattering algorithm derived from the actual distance from the camera to the scene object, has simulated hazy images. In the separate range, the synthetic haze derivation referred from the meteorological range explicitly based on haze conditions. On a clear day as referred to as a low Air Pollutant Index, this experiment simulated synthetic haze in the Malaysian outdoor scene. The haze simulation illustrates how this approach can lead to better outcomes in the measurement of image quality than the current state-of-the-art dehazing method.
Evaluation of Pre-operative Dermoscopy in Early Diagnosis of Non-melanocytic Skin Cancer

BACKGROUND: Dermatoscopy is an integral part of every clinical examination of skin tumors. Dermoscopy has markedly enhances the early diagnosis of non-melanocytic skin cancer (NMSC) compared to naked-eye inspection. Besides its value in the noninvasive diagnosis tool of skin cancer, dermoscopy has also gained increased interest in the response assessment and management of NMSC including basal cell carcinoma, Bowen’s disease, squamous cell carcinoma and merkel cell carcinoma. NMSCs are usually considered a curable disease, however they currently present a growing global healthcare problem due to the increasing incidence, hence this is the reason for my work. AIM: The main aim of the study is to prove the value of dermoscopy in the precision of pre-operative diagnosis of NMSC confirmed by postoperative histopathology (PH) findings. Additional goals are to declare dermoscopy subtypes of NMSC in according to the age, sex, localization, UV radiation, anatomical region, and phototype of skin. METHODS: We used two types of dermoscopy, non-polarized, and polarized dermoscopy. Non-polarized dermoscopy uses magnifying lenses and LED illumination light. This method requires contact with pre-liquid (gel, oil, and alcohol) skin to reduce reflection. Non-polarized dermoscopy allows visualization of structures located in the epidermis and dermoepidermal junction, but not below it. Polarized dermoscopy in addition to the magnifying and light lenses, it uses two polarizing filters to enable cross-polarization. This type of method does not require liquid medium on the skin surface and does not require skin contact. Polarized dermoscopy allows visualization of structures located deeper and below the dermoepidermal junction and the superficial dermis. RESULTS: This paper provides an update on NMSC with special emphasis of dermoscopy in the precision of preoperative diagnosis of NMSC confirmed by postoperative histopathology findings. CONCLUSION: Our first experiences with pre-operative dermoscopy in 11 patients indicate its value in the diagnosis of NMCS. Our further studies in multiple patients should determine its accuracy in pre-operative diagnosis confirmed by post-operative PH findings. Edited by: Ksenija Bogoeva-Kostovska Citation: Berisha RB, Dzokic D, Dobruna S. Evaluation of Pre-operative Dermoscopy in Early Diagnosis of Non-melanocytic Skin Cancer. Open Access Maced J Med Sci. 2021 Dec 02; 9(B):1660-1663. https://doi.org/10.3889/oamjms.2021. 7539
License to Heal: Understanding a Healthcare Platform Organization as a Multi-Level Surveillant Assemblage

Platform organizations bring renewed attention to power disparities and risks in the rise of surveillance capitalism. However, such critical accounts provide a partial understanding of the complexity of surveillance phenomena in such shifting socio-technical and digital environments. The findings from a netnographic investigation of a healthcare platform organization, PatientsLikeMe, unravel how platforms become the locus where multi-level flows of surveillance converge, thereby constituting what we identify as a surveillant assemblage. We develop a comprehensive approach for understanding how platforms constitute a dynamic crossroads of micro-, meso- and macro-surveillance phenomena within and beyond the online communities they create. This study highlights this surveillant assemblage’s emerging practices and potentially empowering outcomes that enable multi-stakeholder involvement in big data and knowledge generation in healthcare. Broader implications of multi-level surveillance in and through platforms are discussed.
Modulus of rupture prediction in Pinus sylvestris with multivariate models constructed with resonance, ultrasound, and wood heterogeneity variables

Multivariate models with multiple linear regression (MLR), artificial neural network (ANN), and k-nearest neighbors (KNN) were developed to predict the modulus of rupture of Pinus sylvestris structural timber. The aim of this study was to develop and compare these models obtained from resonance and ultrasound tests, static modulus of elasticity tests, and different measured wood feature. Resonance tests were performed in the three vibration modes (edgewise, flatwise, and longitudinal) to obtain the fundamental resonant frequencies. To compare the goodness-of-fit of the different models, the 10-fold cross-validation method was used, which proved to be an adequate strategy to avoid overfitting. The variable with the best predictive capacity of the modulus of rupture was knottiness. The error was notably lower in the multivariate than the univariate models. The ANN and KNN algorithms showed no improvement over the MLR. The most suitable MLR for prediction of the modulus of rupture was the model with four variables: knottiness, edgewise dynamic modulus of elasticity, velocity of ultrasounds, and longitudinal resonant frequency.
Stakeholder interpretations of design: semiotic insights into the briefing process

Briefing phase interactions between clients and designers are recognized as social engagements, characterized by communicative sign use, where conceptual ideas are gradually transformed into potential design solutions. A semiotic analysis of briefing communications between client stakeholders and designers provides evidence of the significance and importance of stakeholder interpretation and understanding of design, empirical data being drawn from a qualitative study of NHS hospital construction projects in the UK. It is contended that stakeholders engage with a project through communicative signs and artefacts of design, referencing personal cognitive knowledge in acts of interpretation that may be different from those of designers and externally appointed client advisers. Such interpretations occur in addition to NHS client and design team efforts to ‘engage’ with and ‘understand’ stakeholders using a variety of methods. Social semiotic theorizations indicate how narrative strategies motivate the formulation of signs and artefacts in briefing work, the role of sign authors and sign readers being elucidated as a result. Findings are contextualized against current understandings of briefing communications and stakeholder management practices, a more socially attuned understanding of breifing countering some of the process-led improvement models that have characterized much of the post-Egan report literature. A stakeholder interpretation model is presented as one potential method to safeguard against unforeseen interpretations occurring, the model aligning with the proposal for a more measured recognition of how designs can trigger interpretations among client stakeholders.
Post-Vaccination Leptospiral Antibody Titers among Pet Dogs in Malaysia

Vaccine immunity among Malaysian dogs with its diverse circulating serovars, is still debatable. The recommended vaccination protocol was implemented on a local level, but there was little local documentation of vaccine antibody titer production. This study evaluated the duration and magnitude of antibody titers before, during and after vaccination in both overtly healthy puppies and adult dogs. Puppies (n=20; 6-8 weeks) and adult dogs (n=20; 1-5 years old) were recruited. The dogs were vaccinated with a commercial quadrivalent vaccine (Icterohaemorrhagiae, Canicola, Grippotyphosa and Pomona) according to guidelines [World Small Animal Veterinary Association (WSAVA)]. Blood was sampled at preand post-vaccination up to one-year duration at intervals of 2, 4, 6, 8, 10, 12 weeks followed by 6, 9, 12 months. Serum was tested against the vaccine serovars using microscopic agglutination test (MAT) while whole blood for polymerase chain reaction (PCR). The antibody titer in puppies ranged between 1:50 to 1:200 was present for 6 months whereas the adults had higher titer of between 1:50 to 1:800 for a duration of one year. The antibody titers detected was the highest and persisted the longest for serovar Icterohaemorrhagiae followed by serovars Canicola, Grippotyphosa and Pomona. All dogs were PCR negative throughout the study period. Consideration should be taken when interpreting MAT results of clinical cases with presence of vaccine antibodies, requiring paired serum for better serodiagnosis. MAT remains a gold standard serological method for diagnosis and surveillance, current findings may become a basis of comparison allowing better interpretation and improved usability.
Duct System Flammability and Air Sealing Fire Separation Assemblies in the International Residential Code

IBACOS identified two barriers that limit the ability of builders to cost-effectively achieve higher energy efficiency levels in housing. These are (1) the use of duct system materials that inherently achieve airtightness and are appropriately sized for low-load houses and (2) the ability to air seal fire separation assemblies. The issues identified fall into a gray area of the codes.
Control system for glucose level regulation in peritoneal dialysis

Kidney failure leads to the serious health issues associated with abnormal water-salt balance. In this case, peritoneal dialysis therapy is often prescribed: 1-2 liters of dialysis solution is administered in peritoneal cavity for 3-4 hours. During this time, due to diffusion and osmosis, toxins and excess water are transferred from blood to solution. One of the method’s downsides is the transition of glucose (osmotic agent) into the bloodstream, which leads to a gradual decrease in the fluid removal rate. To mitigate this problem, one must use the system, which will measure current glucose concentration and inject glucose into solution to compensate absorption. The paper proposes such a control system for automatic regulation of the glucose concentration in peritoneal dialysate solution. Its structure, elements, their functions and characteristics are discussed. Proposed system is capable to work autonomously or can be incorporated into wearable “artificial kidney” device.
Evaluation of the components of management before, during and after slaughter and their association with the presence of DFD beef in cattle from northeastern Mexico

A total of 27 management variables (before, during and after slaughter) in 394 bovines were analyzed and used to determine their association and explanatory value with the presence of DFD (Dark, Firm, Dry) beef, using probability ratios in a multiple logistic regression model. The study was conducted from November 2016 to August 2017 on a Federal Inspection Type slaughterhouse located in northeastern Mexico. The presence of DFD beef was 13.45%. A contrast was made between classes for the factors evaluated by means of Student’s t and Chisquare according to the nature of the variable as a criterion for inclusion in logistic modeling. Ten of the variables showed statistical significance (P<0.05) in these tests, but only four of Rev Mex Cienc Pecu 2021;12(3):773-788 774 them presented explanatory value in the final multiple logistic model (P<0.01), which were: the waiting time prior to death, poor desensitization, the thickness of the subcutaneous fat and pH differential of the carcass established with 24 h of difference. The first two increased the possibility in the presence of DFD beef, on the contrary, the fat thickness and pH differential were inversely proportional. The four variables included in the final model were present at different stages and are of a different nature. For this reason, to effectively prevent this problem, a multicausal evaluation is needed throughout the slaughter process.
A comprehensive analysis of irradiated silicon detectors at cryogenic temperatures

The effect of particle irradiation on high-resistivity silicon detectors has been extensively studied with the goal of engineering devices able to survive the very challenging radiation environment at the CERN Large Hadron Collider (LHC). The main aspect under investigation has been the changes observed in detector effective doping concentration (N/sub eff/). We have previously proposed a mechanism to explain the evolution of N/sub eff/ whereby charge is exchanged directly between closely-spaced defect centres in the dense terminal clusters formed by hadron irradiation. This model has been implemented in both a commercial finite-element device simulator (ISE-TCAD) and a purpose-built simulation of inter-defect charge exchange. To control the risk of breakdown due to the high leakage currents foreseen during 10 years of LHC operation, silicon detectors will be operated below room temperature (around -10/spl deg/C). This, and more general current interest in the field of cryogenic operation, has led us to investigate the behaviour of our model over a wide range of temperatures.
Joint Deep-Learning-Enabled Impact of Holistic Care on Line Coagulation in Hemodialysis

In order to investigate the impact of holistic care on line coagulation and safety in hemodialysis and to address limitations of the conventional ultrasound flow vector imaging (VFM) technique, which requires proprietary software to acquire raw Doppler and scatter tracking data, a combined deep-learning-enabled holistic care approach to line coagulation in hemodialysis is proposed. First, velocity along the direction of the sound beam, which is provided by the color Doppler echocardiogram, is obtained as the radial velocity component using a velocity scale. Moreover, the left ventricular wall contour is automatically identified using a U-Net network and the left ventricular wall velocity is calculated as the boundary condition of continuity equation by a retrained PWC-Net model. Likewise, the velocity component of each blood mass in the vertical direction of the sound beam is obtained by solving the continuity equation (i.e. tangential velocity component). Finally, the velocity vector map of cardiac flow field was synthesized and visualized in the flow diagram. For this purpose, sixty patients admitted to receive hemodialysis from February 2019 to June 2020 were randomly divided into two groups of 30 patients where the control group implemented conventional care and the study group implemented all-round care on the basis of conventional care. The nursing effects of both groups were compared. Incidence of pipeline coagulation and complications in the study group were lower than those in the control group and the difference was statistically significant (P < 0.05). The nursing detail score, nursing attitude score, nursing professionalism score, and total satisfaction score in the study group were higher than those in the control group and the difference was statistically significant (P < 0.05). Applying all-round nursing in hemodialysis can effectively reduce the incidence of line coagulation complications and improve the safety of hemodialysis, as well as improve patients' satisfaction with nursing care.
Algal biomass harvesting using low-grade waste heat: the effect of waste heat temperature and air speed on dewatering algal suspension

Abstract This study investigated the feasibility of evaporating water from heated algal biomass in an evaporation tank. Computational fluid dynamic (CFD) analysis was performed with Ansys Fluent, and the results were verified with experiments. The results of CFD analysis showed a positive effect on the evaporation rate. As the speed of the air stream increased from 0 to 3 m/s, the evaporation rate increased from 9 to 200 mL/h. It was also observed that the temperature of the mixture of air and water vapor decreases more rapidly, but the temperature of the liquid decreases more slowly, as the speed of the air stream increases. The liquid flow is more disturbed as the speed of the air stream increases while the air streamlines are more parallel at higher speeds. Finally, as the speed of the air stream increased from 0 to 3 m/s, the liquid pressure at the bottom of the tank decreased from 270 to 140 pa. The experimental results were compared with the calculation based on the stagnant film theory and showed excellent agreement. The CFD results underestimated the evaporation rate by 10% compared with the experimental results.
Evaluation of Landsat 8-like Land Surface Temperature by Fusing Landsat 8 and MODIS Land Surface Temperature Product

High-spatiotemporal-resolution land surface temperature (LST) is a crucial parameter in various environmental monitoring. However, due to the limitation of sensor trade-off between the spatial and temporal resolutions, such data are still unavailable. Therefore, the generation and verification of such data are of great value. The spatiotemporal fusion algorithm, which can be used to improve the spatiotemporal resolution, is widely used in Landsat and MODIS data to generate Landsat-like images, but there is less exploration of combining long-time series MODIS LST and Landsat 8 LST product to generate Landsat 8-like LST. The purpose of this study is to evaluate the accuracy of the long-time series Landsat 8 LST product and the Landsat 8-like LST generated by spatiotemporal fusion. In this study, based on the Landsat 8 LST product and MODIS LST product, Landsat 8-like LST is generated using Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM), Enhanced STARFM (ESTARFM), and the Flexible Spatiotemporal DAta Fusion (FSDAF) algorithm, and tested and verified in the research area located in Gansu Province, China. In this process, Landsat 8 LST product was verified based on ground measurements, and the fusion results were comprehensively evaluated based on ground measurements and actual Landsat 8 LST images. Ground measurements verification indicated that Landsat 8 LST product was highly consistent with ground measurements. The Root Mean Square Error (RMSE) was 2.862 K, and the coefficient of determination R2 was 0.952 at All stations. Good fusion results can be obtained for the three spatiotemporal algorithms, and the ground measurements verified at All stations show that R2 was more significant than 0.911. ESTARFM had the best fusion result (R2 = 0.915, RMSE = 3.661 K), which was better than STARFM (R2 = 0.911, RMSE = 3.746 K) and FSDAF (R2 = 0.912, RMSE = 3.786 K). Based on the actual Landsat 8 LST images verification, the fusion images were highly consistent with actual Landsat 8 LST images. The average RMSE of fusion images about STARFM, ESTARFM, and FSDAF were 2.608 K, 2.245 K, and 2.565 K, respectively, and ESTARFM is better than STARFM and FSDAF in most cases. Combining the above verification, the fusion results of the three algorithms were reliable and ESTARFM had the highest fusion accuracy.
Identification of Enhancer RNA CDK6-AS1 as a Potential Novel Prognostic Biomarker in Gastric Cancer

Background: This study aimed to confirm the role of enhancer RNAs (eRNAs) in gastric cancer and their clinical utility. Methods: We used Cox survival and relevance analysis to identify the candidate eRNAs in gastric cancer and performed Gene Ontology and Reactome pathway enrichment to determine the potential functions of eRNAs. Correlation between eRNA, tumor-infiltrating immune cells, and drug sensitivity was then analyzed. Results: CDK6-AS1, a long non-coding RNA cyclin-dependent kinase 6, may serve as a poor potential prognostic biomarker candidate in gastric cancer with a positive correlation with its target gene CDK6. The low CDK6-AS1 expression group showed more frequent mutated driver genes than the high expression group. Moreover, CDK6-AS1 is involved in a key oncogenic pathway of the cell cycle and RNA transcription. CDK6-AS1 also shows dysregulations and associations with prognosis at the pan-cancer level. This eRNA may also be associated with immune cell infiltration and drug sensitivity. Conclusion: CDK6-AS1 may be a potential prognostic biomarker and chemotherapeutic drug sensitivity predictor in gastric cancer.