Visual Observation Research Articles

Biomechanics of Parkinson’s Disease with Systems Based on Expert Knowledge and Machine Learning: A Scoping Review

Patients with Parkinson’s disease (PD) can present several biomechanical alterations, such as tremors, rigidity, bradykinesia, postural instability, and gait alterations. The Movement Disorder Society–Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) has a good reputation for uniformly evaluating motor and non-motor aspects of PD. However, motor clinical assessment depends on visual observations, which are mostly qualitative, with subtle differences not recognized. Many works have examined evaluations and analyses of these biomechanical alterations. However, there are no reviews on this topic. This paper presents a scoping review of computer models based on expert knowledge and machine learning (ML). The eligibility criteria and sources of evidence are represented by papers in journals indexed in the Journal Citation Report (JCR), and this paper analyzes the data, methods, results, and application opportunities in clinical environments or as support for new research. Finally, we analyze the results’ explainability and the acceptance of such systems as tools to help physicians, both now and in future contributions. Many researchers have addressed PD biomechanics by using explainable artificial intelligence or combining several analysis models to provide explainable and transparent results, considering possible biases and precision and creating trust and security when using the models.

Comparative Computer-Aided Analysis of Three-Dimensional Carpal Alignment in Scapholunate Advanced Collapse and Healthy Wrists.

Scapholunate dissociation frequently results in malalignment and scapholunate advanced collapse (SLAC). Previous analyses have relied on visual observations of carpal angles among the scaphoid, lunate, and capitate on lateral radiographs. However, the 3-dimensional carpal alignment during SLAC progression remains unclear. The purpose of this study was to analyze 3-dimensional carpal malalignment in SLAC wrists. Using computer-aided cone-beam computed tomography analysis software based on segmentation and numerical modeling, we defined three-dimensional carpal axes and examined alignment and carpal height ratio in 18 SLAC wrists along the radial coordinate (positive in palmar and ulnar directions). These results were compared with previously reported normal alignment values obtained from 121 healthy wrists. In the sagittal plane, mean scapholunate, lunotriquetral, lunocapitate, and capitometacarpal angles were -100° (SD, 11°); 20° (SD, 11°); 7° (SD, 12°); and 18° (SD, 8°); respectively, whereas the angles were -58° (SD, 9°); 12° (SD, 8°); -17°(SD, 11°); and 8° (SD, 6°); respectively, in healthy wrists. The sagittal scapholunate angle exhibited the highest area under the receiver operating characteristic curve (0.999), with a threshold value of ≤-76°, indicating pathology. In the coronal plane, the carpal alignment of SLAC wrists remained unchanged, excluding a minimal ulnar tilt of the capitate. Carpal malalignment in SLAC wrists not only affects the radio- and midcarpal joints, but also extends to the third carpometacarpal joint, with malalignment evident in both the sagittal and coronal planes. In SLAC wrists, the sagittal lunotriquetral angle increases in the positive direction, due to the lunate angulating more than the triquetrum. These findings have potential to contribute to the development of computer-aided diagnostic tools for 3-dimensional imaging technology. In the future, such tools could highlight abnormal values and minimize diagnostic errors in clinical practice.

Analysis of Rhodamine B Content in Eyeshadow Cosmetic Preparations with UV-Vis Spectrophotometer and Butterfly Pea Flower (Clitoria ternatea L.) Extract

In the modern era, maintaining a good appearance is crucial. Many people are out there vying for the most outstanding looks. Many are also eager to spend money to improve their appearance, such as by undergoing various treatments and purchasing numerous cosmetic preparations. One type of cosmetics most often used by people is eyeshadow. As a decorative cosmetic, of course, eyeshadow has colouring content. However, Rhodamine B is still misused, a dangerous dye in eye shadow preparations, because most eye shadow palettes have a red base colour. As a result, the author recognizes the importance of researching to differentiate eyeshadow cosmetics containing Rhodamine B from those that do not, using natural ingredient indicators, given Indonesia's abundance of biodiversity. Rhodamine B may be detected using anthocyanins, natural pigments in various plants; one is butterfly pea flowers. The results of visual observations of the reaction of butterfly pea flower extract and cosmetic samples will then be confirmed using a UV-Vis Spectrophotometer. The qualitative analysis revealed that all eyeshadow samples tested positive for Rhodamine B, as shown by the colour change in the butterfly pea flower extract from blue to purple to pink. The quantitative examination revealed that Rhodamine B concentrations in five samples ranged from 0.419 mg/L to 15.891 mg/L. According to BPOM, cosmetic products should not include Rhodamine B (≤ 0 mg/L).

Characterization of genetic resistance to cucumber mosaic virus (CMV) in spinach (Spinacia oleracea L.).

Cucumber mosaic virus (CMV) is a significant pathogen causing quality loss in spinach. Although host genetic resistance is the primary method of managing CMV infection in this crop, CMV resistance genes are not widely utilized in spinach breeding programs as the genetic and molecular mechanisms underlying resistance are not yet fully understood. CMV infections were therefore studied in different lines of spinach plants, and their progeny, to develop a model of the genetic basis of CMV resistance. Visual observations and RT-PCR assays revealed that three monoecious lines (03-258, 03-263, and 03-336) were susceptible to CMV, while three traditional resistant cultivars and a near-isogenic line (NIL-M) exhibited resistance. A dioecious line (03-009) consisted of susceptible and resistant plants. Notably, resistant plants did not exhibit the lesions typical of the hypersensitive response. Genetic analysis of progeny from the cross NIL-M × 03-336 indicated that a single dominant allele (designated SRCm1, standing for Spinach Resistance to CMV 1) controlled CMV resistance; analysis of sib-cross progeny populations derived from line 03-009 supported this conclusion. These results offer a valuable model for CMV resistance in spinach and will enhance future breeding programs.

Changing snow conditions are challenging moose (Alces alces) surveys in Alaska

AbstractSnow conditions are changing rapidly across our planet, which has important implications for wildlife managers. In Alaska, USA, the later arrival of snow is challenging wildlife managers' ability to conduct aerial fall (autumn) moose (Alces alces) surveys. Complete snow cover is required to reliably detect and count moose using visual observation from an aircraft. With inadequate snow to help generate high‐quality moose survey data, it is difficult for managers to determine if they are effectively meeting population goals and optimizing hunting opportunities. We quantified past relationships and projected future trends between snow conditions and moose survey success across 7 different moose management areas in Alaska using 32 years (1987–2019) of moose survey data and modeled snow data. We found that modeled mean snow depth was 15 cm (SD = 11) when moose surveys were initiated, and snow depths were greater in years when surveys were completed compared to years when surveys were canceled. Further, we found that mean snow depth toward the beginning of the survey season (1 November) was the best predictor of whether a survey was completed in any given year. Based on modeled conditions, the trend in mean snow depth on 1 November declined from 1980 to 2020 in 5 out of 7 survey areas. These findings, coupled with future projections, indicated that by 2055, the delayed onset of adequate snow accumulation in the fall will prevent the completion of moose surveys over roughly 60% of Alaska's managed moose areas at this time of the year. Our findings can be used by wildlife managers to guide decisions related to the future reliability of aerial fall moose surveys and help to identify timelines for development of alternate measurement and monitoring methods.

Basketball player motion detection and motion mode analysis based on biomechanical sensors

Basketball player motion detection and analysis are crucial for optimizing performance and preventing injuries. Traditional methods often rely on visual observation and video analysis, lacking precision and real-time feedback. In this study, a unique novel Intelligent Bayesian tuned-augmented Support Vector Machine (IB-ASVM) was proposed for predicting basketball players’ motion modes and performance analysis using the biomechanical sensor data. Advancements in biomechanical sensors such as accelerometers, gyroscopes, and force sensors are deployed into ESP32 to build a player’s wearable gadget. This gadget provides dynamic players with real-time sensing data. Data are transmitted to the cloud via Wi-Fi 7.0 for motion analysis and this model is stimulated using Arduino IDE. The Kalman Filter reduces noise and smoothens sensor data such as acceleration, and angular velocity. Then, the filtered data is employed in the Discrete Wavelet Transform (DWT) to capture time-frequency characteristics of motion signals, making it ideal for extracting relevant features. The featured data are utilized in the ASVM model to classify and detect the motion modes of the basketball players via IB optimization. The Tensor Flow software is used to implement the IB-ASVM model. The result demonstrates that IB-ASVM most accurately predicts the jump shot, layup, dribbling, running, pivoting, passing, free throw, and motion states of the basketball players. The IB-ASVM model accurately classifies basketball motion states using biomechanical sensor data, enhancing performance optimization and injury prevention through precise motion detection.

From Empty Parking Lots to Border Fences: A Visual and Sensory Ethnography of the Finnish–Russian Borderscapes in ‘Times of Stress’

ABSTRACT This article studies everyday bordering processes at the Finnish – Russian border during ‘times of stress’, specifically, following the COVID-19 pandemic and the onset of the war in Ukraine. The research is grounded in ethnographic fieldwork conducted in the summer and autumn of 2022 in four border cities (Imatra and Lappeenranta in Finland, and Svetogorsk and Vyborg in Russia). The study centres on visual and sensory observations made during the fieldwork, as well as discussions taking place in local newspapers and their social media channels. The Finnish – Russian borderland is approached as a ‘borderscape’ – a site where borders are constructed, deconstructed and reconstructed in everyday life by heterogeneous agents. The research illustrates that the political context shaped the Finnish – Russian borderscapes concerning the material border landscape, people’s experiences and imaginations. The study argues that visual and sensory ethnography can add deeper and more nuanced layers to the understanding of borderscapes as well as provide alternative ways of conveying research findings.

Teaching Science Outdoors: Supporting Pre-Service Teachers’ Skill Development with the Help of Available Mobile Applications

Outdoor environments provide excellent teaching and learning experiences in science education. However, many teachers find outdoor teaching challenging. In this study, we investigated factors supporting skill development and learning among pre-service teacher during a blended science didactics course that includes mobile interaction in outdoor environments. Available WhatsApp mobile application was used as an interaction platform between the pre-service teachers’ and the teacher educator. Based on the findings, the pre-service teachers learned easy ways of using outdoor environments with pupils. They also identified challenges that may arise in outdoor teaching and upskilled on how to overcome them. From the perspective of interaction, submitting learning tasks, especially visual observations, through mobile messaging and reviewing tasks of other students in the application were perceived as important. However, the most crucial benefit of mobile interaction was considered to be the teacher’s real-time feedback.

Dispersion and Stability Behaviour of Graphene and MWCNT Based Nano-Lubricant for Vapour Compression Refrigeration (VCR) System

Incorporating nanoparticles into oil compressors marks a significant advancement in scientific research. It has been widely demonstrated that the inclusion of nanoparticles can markedly improve the system's efficiency by reducing energy consumption, decreasing evaporator temperatures, and increasing condenser temperatures. Nanoparticles made of carbon, including those of metal, metal oxide, and metal hybrids, are particularly valued for their superior properties and are deemed to have considerable potential for achievements. This study focuses on examining the stability of graphene and multi-walled carbon nanotubes (MWCNT) in polyolester (POE) oil as a precursor to replacing conventional lubricating oil in refrigeration systems separately. Graphene nano-lubricants were tested at concentrations ranging from 0.1 to 0.3 g/L with the selected surfactant, cetyltrimethylammonium bromide (CTAB), in a 1:1 ratio, while MWCNT nano-lubricants were tested from 0.5 to 0.7 g/L. All samples were prepared using a two-step method that involved magnetic stirring at 1250 rpm for 45 minutes, followed by ultrasonication for 30 minutes. The samples underwent evaluation through three methods of observation. Initial visual observation was conducted immediately after production, then after a 24-hour settling period, and finally, after seven days, the three most optimal samples were identified. For MWCNT, an additional stability test was necessitated due to the high concentration levels, making it challenging to determine the three most stable concentrations. The UV-VIS spectrophotometer played a crucial role in analyzing the stability of the samples, providing data that enabled more precise results. The absorption peak at a wavelength of 294 nm reached its highest absorption value of 0.892 (a.u.) at a concentration of 0.2 g/L. In the case of MWCNT, after testing all samples, concentrations of 0.5, 0.55, and 0.65 g/L were identified as the best options based on peak absorption at different wavelengths, with their peaks at 4.87, 4.045, and 4.116 (a.u.), respectively. The Zeta Potential Analyzer confirmed the stability of these concentrations, indicating a moderate stability with values around -37.4 mV. This level of stability was also observed in MWCNT samples, with the three chosen concentrations showing excellent stability at 88.4, -84.9, and -137 mV, respectively. Among all tested nano-lubricant samples, those with concentrations of 0.2 g/L and 0.65 g/L for Graphene/CTAB/POE and MWCNT/POE, respectively, demonstrated the highest stability and optimum performance. This suggests that these concentrations have the potential to serve as replacements for POE oil in refrigeration systems.

Self-awareness from whole-body movements.

Humans can recognize their whole-body movements even when displayed as dynamic dot patterns. The sparse depiction of whole-body movements, coupled with a lack of visual experience watching ourselves in the world, has long implicated non-visual mechanisms to self-action recognition. We aimed to identify the neural systems for this ability. Using general linear modeling and multivariate analyses on human brain imaging data from male and female participants, we first found that cortical areas linked to motor processes, including frontoparietal and primary somatomotor cortices, exhibit greater engagement and functional connectivity when recognizing self-generated versus other-generated actions. Next, we show that these regions encode self-identity based on motor familiarity, even after regressing out idiosyncratic visual cues using multiple regression representational similarity analysis. Last, we found the reverse pattern for unfamiliar individuals: encoding localized to occipito-temporal visual regions. These findings suggest that self-awareness from actions emerges from the interplay of motor and visual processes.Significance Statement: We report for the first time that self-recognition from visual observation of our whole-body actions implicates brain regions associated with motor processes. On functional neuroimaging data, we found greater activity and unique representational patterns in brain areas and networks linked to motor processes when viewing our own actions relative to viewing the actions of others. These findings introduce an important role of motor mechanisms in distinguishing the self from others.

Impedimetric immunosensor versus qPCR for Huanglongbing detection

Citriculture is facing challenges due to the spread of various diseases, among which the most threatening, with worldwide occurrence, is Huanglongbing (HLB), caused by the bacteria Candidatus Liberibacter spp., vectored by psyllids. In orchards, HLB-infected plants are identified by visual observation of symptoms. For laboratory diagnosis, the gold standard is the polymerase chain reaction (PCR), requiring expertise and specific equipment, and with high financial cost. In this work, a selective impedimetric immunosensor was developed for the detection and determination of Ca. L. asiaticus (CLas) in citrus samples. An anti-HLB antibody against the outer membrane protein (OMP) sequence of CLas was obtained and immobilized on previously synthesized and characterized magnetic nanoparticles. The immobilized antibody was presented to various citrus leaf sample extracts. After the affinity reaction with the antigen, a washing step was performed to minimize matrix effects. The affinity reaction was monitored by electrochemical impedance spectroscopy, using a glassy carbon working electrode containing a neodymium magnet. The developed device was able to distinguish HLB-positive samples from HLB-negative samples and those with other infections. The results obtained with the proposed methodology were in good agreement with quantitative PCR (qPCR).

Influence of environmental conditions on the growth of Pleurotus ostreatus in sand

Pleurotus ostreatus, a saprotrophic fungus, has been proposed for the remediation of organic contaminants in soils and more recently for modifying the hydraulic and mechanical behaviour of granular soils. The in situ performance of fungal-based biotechnologies will be controlled by the fungal growth and associated biochemical activity that can be achieved in soil. In this study, the influence of environmental conditions (temperature, degree of saturation), substrate type (lignocellulose and spent coffee grounds) and concentration on the mycelium growth of P. ostreatus in sand are investigated. Furthermore, the evolution of growth/survival indicators (respiration, ergosterol concentration) and enzymatic activity (laccase, manganese peroxidase) are investigated. Temperature was shown to have a strong influence on the growth of P.ostreatus in sand: growth was observed to be delayed at low temperatures (e.g. 5 °C), whereas growth was prevented at high temperatures (e.g. 35 °C). No growth was observed at very low degrees of saturation (Sr=0% and 1.2%), indicating there is a critical water content required to support P.ostreatus growth. Within the mid-range of water contents tested radially, growth of P.ostreatus was similar. However, growth under saturated soil conditions was restricted to the air-water atmosphere due to the requirement for oxygen availability. Low substrate concentrations (1%–5%) resulted in high radial growth of P.ostreatus, whereas increasing substrate content further acted to reduce radial growth, but visual observations indicated that fungal biomass density increased. These results are important for understanding the feasibility of P.ostreatus growth under specific site conditions and for the design of successful treatment strategies.

Development and Testing of a Device to Detect Trigger Points, and Local Twitch Responses in Dry Needling Intervention

Trigger point dry needling (TrpDN) has emerged as a promising intervention for the treatment of myofascial pain. This involves insertion of a sterile filament needle directly into the trigger point (Trp), with the aim of eliciting a local twitch response (LTR). This sudden, involuntary contraction of the muscle fibers confirms the breakdown and success of TrpDN intervention. Not all LTRs are perceptible through visual observation or tactile sensation during the intervention. In search of noticeable LTR, clinicians perform Hong's technique (back-and-forth movements of needle in muscle). This results in muscle damage and causes pain and discomfort thereby limiting functional movements of patients. One important factor in the diagnosis and post intervention follow-up of TrpDN is the pain pressure threshold (PPT). Currently most of the clinicians use thumb pressure and subjective scales for confirming trigger points. These methods can introduce biasness due to its reliance on subjective factors.•In this present study, an effort has been made to assemble a device to overcome the challenges faced during assessment and treatment of trigger points.•This device can provide audiovisual feedback for LTR and can measure PPT.

Discussion on effect of observation circumstances for image in digital radiography

The discriminability of the IQI in the film radiography is affected by the observation circumstance and the luminance of film viewer. ISO17636-2 states that the images of digital radiograph shall be examined in a dimmed room. However, it does not describe requirements for the observation environment in digital radiography, despite the fact that the environment is similar to that of a normal professional PC and the display of the images can be easily adjusted. In this report, the influence of the observation environment in digital radiography was compared as the parameters the wire diameter and the WL value of a display adjustment value when the minimum wire diameter of the image quality indicator (IQI) was percepted, using images of welded steel at t25mm and t50mm. For welded steel of t25mm, differences due to SNRN values and differences due to the observation environment of light and dark room were compared. For t50mm, differences due to the presence or absence of the observation mask for the single wire of wire IQI which is places in front of the display, differences due to the resolution and brightness of the PC monitor, and differences when the WL was adjusted arbitrarily or fixed were compared. For the Digital Radiographic testing (RT-D), the basic spatial resolutions (SRb) were obtained by measuring the profile and applying of visual observation with the duplex wire type IQI. On the other hand, when observing the image of wire type IQI, the observation ways that one was obtain the perceptible image for all wires and another was to get the perceptible single wire image by using the observation mask for watching each wire were applied. Moreover, the influence of window width (WW) and window level (WL) adjustment on the discrimination of wire-type IQI was examined by quantifying it as WW/WL. As a result, it was confirmed that the discriminality in the dimmed room and the adjustment of WW and WL were effective. In addition, using the observation a mask showed that the perception of the adjacent wire image affected observer cognition in IQI discrimination during image observation. When using viewer software profiling, SRb measurements were not affected by the observation environment, but the visual observation was affected by the environment, and when observing images in the dimmed room with RT-D, it was found that adjusting WW and WL had a greater effect on discrimination for images with low SNRN and low contrast.

Propagation behavior of wetting front and its fluctuation characteristics during subcooled jet impingement quenching

Jet impingement quenching as one of the most effective cooling methods is widely applied in many industrial fields. When a subcooled jet strikes the hot surface, the wetting front propagates outside after the wetting delay accompanied by high-frequency fluctuations. To elucidate the propagation behavior of the wetting front and its fluctuation characteristics, the quenching experiments that an upward water jet with different velocities and subcoolings impacted onto a hot nickel block with an initial temperature of 280°C were conducted. The transient transition boiling associated with the intermittent wet and dry situations around the wetting front was quantitatively analyzed based on the visual observation and fast response surface temperature measurement technique. The liquid-solid contact period near the wetting front, under the late transition boiling regime, spans the range of 494–590 µs. This time interval is comparable to the period of disturbance waves induced by the Plateau-Rayleigh instability of the jet. Furthermore, fluctuation amplitude of the wetting front diminishes from 0.8 to 0.2 mm as it propagates. The order of magnitude and the trend of variation in the fluctuation amplitude with respect to the wetting front radius align with theoretical calculations without considering boiling heat transfer effects.

WASH recommendations for improving disaster preparedness and recovery in schools in Indonesia

Access to functional and clean toilets which maintain privacy and dignity and support girls’ Menstrual hygiene management (MHM) plays a crucial role to getting girls back to school post-disaster. This could also help in managing feelings of shame and disgust experienced when using toilets in schools in post disaster settings. In this paper, we report on our assessment of water, sanitation and hygiene (WASH) facilities in schools three-years post the 2018 multi-hazard event in Indonesia. We used a mixed-methods approach using visual observations, interviews with school principals, surveys with schoolgirls and focus group discussions with schoolgirls and teachers to understand the lived experiences of students using toilets at school. Our results highlight that across schools descriptive and injunctive social norms were supportive of littering, inadequate toilet facilities for girls to manage their menstruation and bullying and antisocial behaviour by opening toilet doors while the facilities were occupied. Based on these results, we developed two types of interventions, physical and behavioural, piloted in three schools to increase WASH and MHM awareness and the safety of sanitation facilities. Our interventions showed that approaches for WASH interventions in schools can only be designed if we understand the local barriers to carrying out interventions that integrate maintenance plans. We provide recommendations to support practitioners in mitigating risk and improving circumstances for girls in schools in Indonesia, which have the potential to address SDG 4 on inclusive and equitable education and SDG 5 on gender equality and girls’ empowerment.

Experimental study of hydrodynamic characteristics in three-phase coarse particle fluidized flotation column

Understanding multiphase flow regimes and hydrodynamic characteristics in the three-phase coarse particle fluidized flotation column (TFC) is crucial in mineral processing. This study systematically investigated the influence of gas velocity (Ug) and water velocity (Uw) on the flow regimes in TFC, focusing on the identification and hydrodynamic characteristics of different flow regimes in the freeboard and bulk fluidized bed regions. Three distinct flow regimes (heterogeneous flow, pseudo-homogeneous flow and mono-homogeneous flow) and two transition water velocities (transitions from a heterogeneous flow regime to a pseudo-homogeneous flow (Ut1) and transitions from a pseudo-homogeneous flow to a mono-disperse homogeneous flow regime (Ut2)) were identified in the freeboard region based on the visual observation and bubble characteristic parameter acquisition system (BVW-2) monitoring the variations in the bubble size distribution. Visual observation combined with electrical resistance tomography (ERT) monitoring the solid concentration variations facilitated accurate determination of three flow regimes (fixed bed regime, agitated bed regime, and complete fluidization regime) and two transition points (minimum agitation water velocity (ULma) and minimum fluidization water velocity (ULmf)) in the bulk fluidized bed region. Furthermore, statistical and spectral methods were used to analyze pressure fluctuation signals and characterize fluidization behavior across different flow regimes, including the average pressure fluctuation (ΔP¯), the probability density function (PDF), normalized standard deviation (δ), kurtosis (K), skewness (S), autocorrelation function (ACF), power spectral density (PSD) and average cycle frequency (fc). The results indicated that it is the changes in dominant flow structures within the three-phase fluidized bed, such as variations in bubble behavior and particle movement under different Ug and Uw, that lead to differences in flow characteristics, thereby forming distinct flow regimes.

LC3 cementitious binder incorporating microencapsulated phase change materials for self-defrosting traffic surfaces

Exposed surfaces of bridge decks, viaducts and pavements incur ice formation and accumulation of snow in cold seasons, which threatens traffic safety. Mitigating this problem using traditional methods such as deicing salts have caused ecosystem damage and inflicted substantial reinforcement corrosion and surface scaling to bridge decks and pavements, thus compromising their service life and causing colossal economic loss. This paper presents an alternative solution to overcome this problem through the development of a sustainable LC3 cementitious material incorporating micro-encapsulated phase change material (MEPCM) with low phase transition temperature to delay the surface temperature drop and mitigate snow accumulation and ice formation. MEPCM was incorporated in the cementitious matrix at 0 %, 10 % and 20 % by binder mass. Paste and mortar mixtures were prepared to investigate the microstructural, mechanical, physical, and thermal properties. Test results showed that incorporating MEPCM in the LC3 matrix achieved adequate compressive strength. Thermal simulations and visual observations conducted on mortar samples in the laboratory and outdoor exposure showed that MEPCM can effectively regulate the surface temperature of the LC3 matrix and mitigate temperature drops as well as snow accumulation. Analysis of temperature data in the 2023–2024 winter season of Hamilton, Ontario, Canada indicated that the MEPCM incorporated in mortar samples could effectively regulate 40 % of the total days considered and mitigate surface ice formation and snow accumulation, which provides both economic and environmental benefits.

A novel infrared and visible image fusion network based on cross-modality reinforcement and multi-attention fusion strategy

Infrared and visible image fusion focuses on the integration of complementary information, whose fused results with abundant texture details and salient targets can cater for human visual observation well. However, the loss of some important details is still a challenge in the image fusion process. In this paper, a novel method based on cross-modality reinforcement module and multi-attention fusion strategy is proposed to boost the end-to-end CNN backbone. Specifically, a cross-modality architecture is applied to compensate the spectral differences from heterogeneous images; and the multi-scale strip pooling is utilized as a further feature representation tool to model long-rang independencies precisely; then, a detail injection block is devised to fulfill the enhancement requirements of texture-contrast and target intensity; sequentially, a multi-attention fusion module is proposed to integrate features progressively. Extensive comparative experiments are conducted on several datasets to demonstrate the superiority of the proposed method in both quantitative metrics and visual perception, such as the average of visual information fidelity metric based on all the experiment samples reach to 0.964.

Effectiveness of a New Broadrick Flag Support for Assisting Students With the Design of an Occlusal Plane.

Prosthetic restorations require functional occlusal planes to ensure therapeutic success. The purpose of the present study was to develop a new Broadrick flag support for a semi-adjustable articulator and to investigate the effectiveness of occlusal planes drawn using the Broadrick flag method by inexperienced practitioners in complex situations such as skeletal class II relationships associated with edentulous areas. MÉTHODOLOGY: The Broadrick flag support was designed and manufactured by the additive technique and was adapted to the Quick Master articulator. The QR code of the manufacturing file of the Broadrick flag support is accessible to any practitioner. Thirty-seven third-year students (inexperienced practitioners) were randomised into two groups for drawing occlusal planes on two models either with or without the Broadrick flag method. A prosthodontic professor (experienced practitioner) drew occlusal planes on the models to serve as references. Each model was analysed using a standardised method to measure the distances between the occlusal planes drawn by experienced and inexperienced practitioners. RÉSULTS: Only the distance measured for the right second molar of the first model with the Broadrick flag method was significantly shorter than those measured without using this method (p < 0.05, Wilcoxon test). Visual observations showed that only the second molar drawings of the inexperienced practitioners were above the drawings of the experienced practitioner. The Broadrick flag method helped inexperienced practitioners to draw occlusal planes of models in complex skeletal class II relationships associated with edentulous areas with natural teeth located both anterior and posterior to them.