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Vaccine manufacturing fosters the prevention, control, and eradication of infectious diseases. Recombinant DNA and in vitro (IVT) mRNA vaccine manufacturing technologies were enforced to combat the recent pandemic. Despite the impact of these technologies, there exists no scientific announcement that compares them. Digital Shadows are employed in this study to simulate each technology, investigating root cause deviations, technical merits, and liabilities, evaluating cost scenarios. Under this lens we provide an unbiased, advanced comparative technoeconomic study, one that determines which of these manufacturing platforms are suited for the two types of vaccines considered (monoclonal antibodies or antigens). We find recombinant DNA technology to exhibit higher Profitability Index due to lower capital and starting material requirements, pertaining to lower Minimum Selling Price per Dose values, delivering products of established quality. However, the potency of the mRNA, the streamlined and scalable synthetic processes involved and the raw material availability, facilitate faster market penetration and product flexibility, constituting these vaccines preferable whenever short product development cycles become a necessity.

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Description This photograph was chosen as a visual representation of the poem "Theory of a Well Mind" to capture the essence of the poem's exploration of the human psyche and the journey toward mental wellness. The corridor, with its repeating arches and vanishing point, symbolizes the cyclical nature of thoughts, emotions, and actions that the poem delves into. Just as the corridor seems to stretch into infinity, the poem reflects on the seemingly endless and challenging process of personal growth and self-discovery. The contrast between light and shadow within the image mirrors the poem's themes of introspection, uncertainty, and the pursuit of clarity amidst the complexities of the mind. The light that filters through the arches and windows represents moments of insight and hope, while the shadowed areas evoke the difficulties and unknowns that one encounters on the path to wellness.

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Meeting food safety requirements without jeopardizing quality attributes or sustainability involves adopting a holistic perspective of food products, their manufacturing processes and their storage and distribution practices. The virtualization of the food supply chain offers opportunities to evaluate, simulate, and predict challenges and mishaps potentially contributing to present and future food safety risks. Food systems virtualization poses several requirements: (1) a comprehensive framework composed of instrumental, digital, and computational methods to evaluate internal and external factors that impact food safety; (2) nondestructive and real-time sensing methods, such as spectroscopic-based techniques, to facilitate mapping and tracking food safety and quality indicators; (3) a dynamic platform supported by the Internet of Things (IoT) interconnectivity to integrate information, perform online data analysis and exchange information on product history, outbreaks, exposure to risky situations, etc.; and (4) comprehensive and complementary mathematical modeling techniques (including but not limited to chemical reactions and microbial inactivation and growth kinetics) based on extensive data sets to make realistic simulations and predictions possible. Despite current limitations in data integration and technical skills for virtualization to reach its full potential, its increasing adoption as an interactive and dynamic tool for food systems evaluation can improve resource utilization and rational design of products, processes and logistics for enhanced food safety. Virtualization offers affordable and reliable options to assist stakeholders in decision-making and personnel training. This chapter focuses on definitions and requirements for developing and applying virtual food systems, including digital twins, and their role and future trends in enhancing food safety.

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BACKGROUND: From 2021, PSDTA for women with pregnancy complicated by diabetes will be active in the ASL city of Turin; given the city's increasing multiculturalism, we decided to evaluate from this point of view the patients who entered this pathway. METHODS: Data on women from 1/10/2022 to 30/09/2023 were collected from the computerized medical record. RESULTS: Total patients: 304, Type of diabetes: T1D 3%; MODY < 1%; T2D 4% Diabetes manifested in pregnancy (DMIP) 2%, GDM 90%, Foreigners prevalence: GDM: 67%, T2D%, T1D: Foreign 11%, Planned vs. neglected pregnancies: GDM 47% vs 18%, T2D 31% vs 32%, DMIP 28% vs 50%, T1D: 66% vs 11%, Therapy: GDM: insulin 31% (multi-injective <30%), metformin 5%, T2D: insulin 100% (multi-injective 68%, metformin in 20%); continuous glycemic sensor in 48%, DMIP: insulin 50% (multi-injective 50%), T1D: multi-injective therapy 33%; pump and glycemic sensor 33%; integrated sensor-micro-infuser system 33%. CONCLUSION: In the aspect of ISTAT data indicating that for northern Italy, a foreign origin for 26% of mothers, our population is "unbalanced" between GDM, T2D, and DMIP on one side and T1D on the other. The higher percentage of foreigners in the GDM group could be attributable to the higher share of Italian women opting for private practice, conversely, the "missing" share of foreign women with T1D is more difficult to interpret. Unplanned or even neglected pregnancies are significant in women with GDM and DMIP (who are mostly foreign). If these data are confirmed in other Italian realities, corrective strategies need to be planned.

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A 70-year-old woman had been treated with methotrexate for rheumatoid arthritis by a rheumatologist who opened a clinic near our hospital. In January of a certain year, she had respiratory symptoms of cough, sputum, and fever. Laboratory test results showed a white blood cell count of 8600/µL (neutrophil count of 5330/µL, lymphocyte count of 2490 µ/L), C-reactive protein (CRP) of 3.30 mg/dL. Chest radiography showed multiple infiltrative shadows in the right middle and lower lobes. Bronchoalveolar lavage fluid (BAL) lymphocyte count was increased (65.1%), and histopathological findings were consistent with numerous bowl-shaped cryptococcus cells stained black by Grocott staining. Added measurement of serum cryptococcal antigen titers was 4096-fold. Treatment with fluconazole 400 mg/day was initiated, and her symptoms resolved; the shadows of the lung fields improved. When asked in detail, the cryptococcus infection route was suspected from swallow excreta. There have been no reported cases of pulmonary cryptococcosis suspected due to inhalation of swallow excreta presenting with multiple infiltrative shadows.

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Shadows in physical space are copious, yet the impact of specific shadow placement and their abundance is yet to be determined in virtual environments. This experiment aimed to identify whether a target's shadow was used as a distance indicator in the presence of binocular distance cues. Six lighting conditions were created and presented in virtual reality for participants to perform a perceptual matching task. The task was repeated in a cluttered and sparse environment, where the number of cast shadows (and their placement) varied. Performance in this task was measured by the directional bias of distance estimates and variability of responses. No significant difference was found between the sparse and cluttered environments, however due to the large amount of variance, one explanation is that some participants utilised the clutter objects as anchors to aid them, while others found them distracting. Under-setting of distances was found in all conditions and environments, as predicted. Having an ambient light source produced the most variable and inaccurate estimates of distance, whereas lighting positioned above the target reduced the mis-estimation of distances perceived.

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This article presents the findings of an ongoing supervision group (founded in 1999) researching the after-effects of the Nazi period on people in psychotherapy in Germany today. The unacknowledged collective shadow hidden behind half-truths, prevarications, and silence itself prevents a genuine working through of the Nazi past. Patients' lack of knowledge concerning their families' own past leads to unconscious guilt, which often then leads to psychosomatic disturbances. But this is not only a problem in Germany. Unacknowledged collective shadows are prevalent in many countries worldwide. Psychological difficulties on the individual and societal levels result.

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ObjectiveTo analyze the epidemiological characteristics of newly diagnosed occupational welder's pneumoconiosis (OWP) in the shipbuilding industry in Guangzhou City from 2006 to 2022. Methods Data on newly diagnosed OWP cases in the shipbuilding industry in Guangzhou City from 2006 to 2022 was collected and ananlyzed from the Health Hazard Monitoring Information System subsystem of the Chinese Disease Prevention and Control System. ResultA total of 250 cases of new welder's pneumoconiosis were diagnosed in the shipbuilding industry in Guangzhou City from 2006 to 2022. The number of new cases per year showed an initial increase followed by a rapid decline, reaching a peak in 2013 (65 cases). Most of the cases were male, accounted for 99.2%. There were 220 cases reported the OWP stage, with the stage Ⅰ and stage Ⅱ cases accounted for 93.6% and 6.4%, respectively, but no stage Ⅲ cases were reported. The median (M) age and the 25th and 75th percentiles (P25, P75) at diagnosis was 43.0 (39.0, 47.0) years and the dust exposure years M (P25, P75) was 11.2 (8.1, 14.7) years. The M of age at diagnosis of new OWP cases in 2015-2018 and 2019-2022 were higher than those in 2006-2010 and 2011-2014, respectively (all P<0.05). The M of dust exposure duration of new OWP cases from 2006-2010 and 2019-2022 was higher than that in cases from 2015-2018 and 2011-2014, respectively (all P<0.05). Most of the small shadows of the cases were circular small p shadows and distributed in the bilateral middle and lower lung zones, with a density mostly of 1/1, according to the X-ray chest films. Conclusion The hazard of welding fumes in the shipbuilding industry in Guangzhou City has been controlled, but the prevention and control of OWP among welders remains severe.

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PURPOSE: To analyse ocular coherence tomography (OCT) images of the retinal shadows caused by defocus and diffusion optics spectacles. METHODS: One eye was fitted successively with the Hoya Defocus Incorporated Multiple Segments (DIMS) spectacle lens, two variations of the +3.50 D peripheral add spectacle (DEFOCUS) and the low-contrast dot lens (Diffusion Optics Multiple Segments, DOMS); each at a vertex distance of 12 mm. Simultaneously, a retinal image of the macular region with central fixation was obtained using infrared OCT. The corneal power and intraocular distances were determined using an optical biometer. RESULTS: The retinal images for the DIMS and DOMS lenses showed patterns of obvious retinal shadows in the periphery, while the central 10-11° remained clear. The DEFOCUS lens produced a darkened peripheral area. Dividing the size of the retinal pattern, measured with the calliper of the OCT software, by the actual size on the spectacle lens gave a magnification of -0.57 times. This is consistent with the incoming OCT beam being imaged to a position approximately 31 mm beyond the front of the eye. [Correction added on 26 October 2023 after first online publication: The preceding paragraph was corrected.] CONCLUSION: With device-specific correction, retinal OCT images can help visualise the regions affected by the defocus or lowered contrast induced by myopia control spectacles. This is of potential value for improving myopia therapies.

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Various statistical data indicate that mobile source pollutants have become a significant contributor to atmospheric environmental pollution, with vehicle tailpipe emissions being the primary contributor to these mobile source pollutants. The motion shadow generated by motor vehicles bears a visual resemblance to emitted black smoke, making this study primarily focused on the interference of motion shadows in the detection of black smoke vehicles. Initially, the YOLOv5s model is used to locate moving objects, including motor vehicles, motion shadows, and black smoke emissions. The extracted images of these moving objects are then processed using simple linear iterative clustering to obtain superpixel images of the three categories for model training. Finally, these superpixel images are fed into a lightweight MobileNetv3 network to build a black smoke vehicle detection model for recognition and classification. This study breaks away from the traditional approach of "detection first, then removal" to overcome shadow interference and instead employs a "segmentation-classification" approach, ingeniously addressing the coexistence of motion shadows and black smoke emissions. Experimental results show that the Y-MobileNetv3 model, which takes motion shadows into account, achieves an accuracy rate of 95.17%, a 4.73% improvement compared with the N-MobileNetv3 model (which does not consider motion shadows). Moreover, the average single-image inference time is only 7.3 ms. The superpixel segmentation algorithm effectively clusters similar pixels, facilitating the detection of trace amounts of black smoke emissions from motor vehicles. The Y-MobileNetv3 model not only improves the accuracy of black smoke vehicle recognition but also meets the real-time detection requirements.

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The pattern of shadows and shading across a face is determined partly by face shape and may therefore provide a cue for facial recognition. In this study, we measured the ability of human observers to discriminate facial identity based simply on the coarse pattern of contrast produced by the interaction between facial geometry and lighting direction. We used highly realistic 3D models of human heads to create images of faces illuminated from different horizontal and vertical directions, which were then converted to two-tone images ('Mooney faces') to isolate the coarse pattern of contrast. Participants were presented with pairs of two-tone faces and judged whether it was the same person in both images. Participants could discriminate facial identity based on the minimal cues within the two-tone images, though sensitivity depended on the horizontal and vertical lighting direction. Performance on the Mooney recognition task correlated with general facial recognition ability, though the role of face-specific processing in this relationship was not significant. Our results demonstrate that shading information in the form of simple contrast cues is sufficient for discriminating facial identity, and support the idea that visual processing is somewhat optimised for overhead lighting - here, in the relatively high-level context of face identity recognition.

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Medical schools are important nodes in the reproduction of medical knowledge, and an often-visited field site for medical anthropologists. To date, the spotlight has been on teachers, students and (simulated) patients. I broaden this focus to look at the practices of medical school secretaries, porters and other staff, investigating the embodied effects of their "invisible work." Drawing from ethnographic fieldwork in a Dutch medical school, I mobilize the more multisensory term "shadow work" to understand how such practices become part of medical students' future clinical practices through highlighting, isolating, and exaggerating, necessary elements of their medical education.

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JPEG is the most common format for storing and transmitting photographic images on social network platforms. JPEG image is widely used in people's life because of their low storage space and high visual quality. Secret image sharing (SIS) technology is important to protect image data. Traditional SIS schemes generally focus on spatial images, however there is little research on frequency domain images. In addition, the current tiny research on SIS for JPEG images only focuses on JPEG images with a compression quality factor (QF) of 100. To overcome the limitation of JPEG images in SIS, we propose a meaningful SIS for JPEG images to operate the quantized DCT coefficients of JPEG images. The random elements utilization model is applied to achieve meaningful shadow images. Our proposed scheme has a better quality of the shadow images and the recovered secret image. Experiment results and comparisons indicate the effectiveness of the scheme. The scheme can be used for JPEG images with any compression QF. Besides, the scheme has good characteristics, such as (k,n) threshold, extended shadow images.

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Studies have found that observers pay less attention to cast shadows in images than to better illuminated regions. In line with such observations, a recent study has suggested stronger change blindness for shadows than for objects (Ehinger et al., 2016). We here examine the role of (overt) visual attention in these findings by recording participants' eye movements. Participants first viewed all original images (without changes). They then performed a change detection task on a subset of the images with changes in objects or shadows. During both tasks, their eye movements were recorded. In line with the original study, objects (subject to change in the change detection task) were fixated more often than shadows. In contrast to the previous study, better change detection was found for shadows than for objects. The improved change detection for shadows may be explained by the balancing of trials with object and shadow changes in the present study. Eye movements during change detection indicated that participants searched the bottom half of the images. Shadows were more often present in this region, which may explain why they were easier to find.

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The EPF 35th Annual Conference will be held in Vienna in July 2022 after it was postponed in 2020 due to the pandemic. All the greater is the pleasure to welcome you to the EPF Congress with the theme of Ideals this summer. The Vienna Psychoanalytical Society (WPV, Wiener Psychoanalytische Vereinigung) and the Vienna Psychoanalytical Association (WAP, Wiener Arbeitskreis für Psychoanalyse) would like to extend a warm invitation and welcome to Vienna, the birthplace of Psychoanalysis.

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Face detection in human vision relies on a stereotypical pattern of visual features common to different faces. How are these visual features generated in the environment? Here we investigate how characteristic patterns of shading and shadows that occur across the face act as a cue for face detection. We use 3D rendering to isolate facial shading under simulated lighting conditions, comparing the broad patterns of contrast that occur across the face when light arrives from different angles. We find that human performance in discriminating faces from non-face objects using these contrast patterns depends strongly on the lighting direction. In particular, light arriving from above the brow tends to facilitate face detection - consistent with the statistics of real-world lighting environments, in which light commonly arrives more strongly from above. Indeed, in a further experiment, we find that asymmetries in lighting that occur in complex and naturalistic lighting environments produce contrast patterns across the face that facilitate face detection. These effects occurred independent of the lighting direction relative to the viewer, suggesting that cues to face detection emerge from the interaction between face morphology and vertical asymmetries in lighting direction, independent of the viewer's knowledge or expectations about lighting direction. Comparison with the performance of an image classifier suggests that the effects of lighting direction partly reflect differences in image information that result from the interaction between shape and illumination, as well as face detection in human observers being better-tuned to the pattern of shading and shadows that occurs across an upright face that is lit from overhead.

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Nocardiosis is a relatively rare opportunistic infection, ranging from localized to systemic diseases, commonly occurring in immunocompromised patients with high mortality rates. We present a case of a 61-year-old man who received medical treatment for type 2 diabetes mellitus and underwent a physical examination that showed abnormal chest shadows on radiography. Chest computed tomography revealed bronchiectasis and infiltration in the left lower lobe. Nocardia spp. was detected in the bronchial washes, and he was started on sulfamethoxazole-trimethoprim under the diagnosis of pulmonary nocardiosis. 16S ribosomal RNA gene sequencing analysis identified the species as Nocardia cyriacigeorgica. His pulmonary lesions successfully improved after treatment for six months. Pulmonary nocardiosis often presents with symptoms such as hemoptysis and blood-tinged sputum, and bronchiectasis has been identified as an underlying condition. Even in hosts without underlying immunocompromising conditions, Nocardia spp. can be a causative microorganism of pulmonary infections, and it should be considered in the differential diagnoses.

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Secret image sharing (SIS), as one of the applications of information theory in information security protection, has been widely used in many areas, such as blockchain, identity authentication and distributed cloud storage. In traditional secret image sharing schemes, noise-like shadows introduce difficulties into shadow management and increase the risk of attacks. Meaningful secret image sharing is thus proposed to solve these problems. Previous meaningful SIS schemes have employed steganography to hide shares into cover images, and their covers are always binary images. These schemes usually include pixel expansion and low visual quality shadows. To improve the shadow quality, we design a meaningful secret image sharing scheme with saliency detection. Saliency detection is used to determine the salient regions of cover images. In our proposed scheme, we improve the quality of salient regions that are sensitive to the human vision system. In this way, we obtain meaningful shadows with better visual quality. Experiment results and comparisons demonstrate the effectiveness of our proposed scheme.

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Eye shadows, which are products willingly and frequently used by women and even children, have been reported in literature to contain toxic metals. In this work, a total of 94 eye shadows samples available on the Polish market were collected. Eye shadow products have been selected in order to include several parameters important from the point of view of the typical consumer such as: product type (mat/pearl), consumer group (for adults and children), price range (very cheap, medium price, expensive and very expensive), color (twelve different colors were tested), manufacturer (eight brands were investigated) or country of production (four countries were included). The concentration of selected metals (Ag, Ba, Bi, Cd, Pb, Sr, Tl) was determined by ICP-MS technique after the sample extraction with a mixture of nitric acid and hydrogen peroxide in a microwave closed system. For Ag, Cd and Tl, some results were below the established limit of quantification for the employed technique. The presence of strontium, barium, lead and bismuth was confirmed in all studied samples. The obtained results for analyzed elements were, in general, quite comparable with the data reported by other authors. A small number of samples exceeding the permissible values (two samples were beyond the limit value for Cd of 0.5 mg/kg and one exceed the acceptable concentration for Pb of 10 mg/kg) also proves a relatively good condition of the Polish cosmetics market and suggests insubstantial risk for the potential consumers. The results gathered for some of the eye shadows intended for children turned out to be alarmingly high, in particular for elements such as Cd. The highest concentration of Cd reached almost 4 mg/kg, while of Pb amounted to 16 mg/kg. The presence of the statistically significant differences was confirmed for all included parameters with an exception of the color of the eye shadow. Considering the results acquired only for Cd and Pb with respect to the country of origin, the least contaminated cosmetics by metallic impurities seem to be the one produced in Canada, while the ones presenting the highest health risk among all studied eye shadows are make-up cosmetics originating from Poland and Italy. Multivariate analysis of a large data set using CA methods and PCA provided valuable information on dependencies between variables and objects.

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