Scanner Software Research Articles

Going Digital: The Research Library and the Pandemic.

Going Digital:The Research Library and the Pandemic Benjamin Gross and Allison Marsh Keywords COVID-19, fellowships, virtual fellowships, collections, accessibility, research experience The COVID-19 pandemic has profoundly transformed the historical research process. The sudden closure of libraries, archives, and museums left scholars physically unable to consult primary sources. Researchers, in turn, restructured their investigations to capitalize on materials they could access digitally. The consequences of these shifts will resonate for years as students defend dissertations and scholars publish books and articles that were shaped by the pandemic. At the same time, collections-based institutions now have the opportunity to learn from their COVID experiences and devise new ways to serve their constituents' needs. As historians in different settings assess the dramatic social changes that have occurred since the spring of 2020, it is essential to consider the pandemic's impact on their profession. The April 2022 issue of Technology and Culture explored how curators and archivists responded to the pandemic. This public history section builds on those discussions by examining how COVID-19 led one U.S. institution, the Linda Hall Library of Science, Engineering, and Technology (LHL) in Kansas City, Missouri, to launch a virtual fellowship program. The Linda Hall Library was not the only institution to provide scholars with remote research support during the pandemic. Nevertheless, we believe that the Library's pandemic response merits discussion in Technology and Culture due to the technical decisions that facilitated its virtual fellowships. Despite a long history of supporting off-site patrons, providing these new fellows with the ability to navigate the Library's collections required investments in digitization infrastructure and the sustained involvement of reference [End Page 1137] librarians. Because conversations with other researchers are essential components of the fellowship experience, the Library used teleconferencing software to foster a sense of intellectual community. In the following articles, Library staff and scholars share their perspectives on the virtual fellowship program. Their accounts reveal some of the methodological challenges and opportunities associated with historical investigations during the pandemic. They also illustrate that COVID-19 altered the relationship between researchers and collections in significant ways. Some of these changes were a direct result of the pandemic, while others—such as the push to make collections more accessible to local and global audiences—had been underway for several years. Benjamin Gross, the Linda Hall Library's vice president for research and scholarship, leads off the section, demonstrating how longstanding collection and digitization strategies left the institution well positioned to offer virtual fellowships. Because its initial clientele consisted of practicing scientists and engineers, the Library prioritized the acquisition of technical publications, which are easier to digitize than manuscripts and personal papers. In addition, it launched a document delivery service in 1957 to provide patrons with copies of articles from scarcely held journals, first on microfilm and later as photocopies and digital scans. Over time, the Library continued to invest in scanning equipment and software to streamline the digitization process. When COVID-19 prevented fellows from traveling to Kansas City, the Library was able to adjust quickly and offer them scanned research materials. The preliminary success of this program, along with uncertainty concerning the duration of the pandemic, prompted the Library's leadership to offer only virtual fellowships during the 2021–22 academic year. Gross's article describes the structure of the new program and how LHL staff adjusted their work habits to support an unprecedented number of off-site scholars. The second piece in the section, compiled by Allison Marsh, presents scholars' perspectives on the Linda Hall Library's virtual fellowship program. From the outset, she aimed to foreground the voices of virtual fellows. At the same time, she recognized that asking them to compose essays about their affiliation with the Library would be burdensome, even if they were not coping with the stresses of the pandemic. Instead, Marsh conducted hour-long interviews with five recent LHL fellows via videoconference, which she subsequently transcribed, edited, and reorganized into the Q&A presented here. The resulting transcript is something of an experimental hybrid, combining features of a traditional roundtable and a structured conversation to assess the benefits and limitations of remote research in the...

Vulnerability Management Pada Vulnerable Docker Menggunakan Clair Scanner Dan Joomscan Berdasarkan Standar GSA CIO-IT Security-17-80

Vulnerabilities in Docker need to be managed considering that this vulnerability is one of the potentials for exploitation, this can happen because Docker is a container related to application and system security. This study analyzes the vulnerability management process in Docker Images and Docker Images Applications using the GSA CIO-IT Security-17-80 standard. This vulnerability search uses two scanning tools, namely Clair Scanner and JoomScan. Vulnerabilities in Docker Images and Docker Images application version - 1, were overcome by creating a new system, namely version - 2 which upgrades the Docker Images software and Docker Images application. The test scenario is run by scanning for vulnerabilities in two versions of the trial system, in the form of a vulnerability report. The data was analyzed using the GSA CIO-IT Security Standard-17-80 which was limited to the stages of Scanning Capabilities, Vulnerability Scanning Process, Vulnerability Scan Reports, Remediation Verification, and Re-Classification of Known Vulnerabilities. The result is the fastest scanning time is in version - 2, the results of the comparison of vulnerabilities obtained are 44.45% on Docker Images and 77.78% on Joomla. So that the contribution that can be given is to provide an overview of the use of the GSA CIO-IT Security-17-80 standard as a guide for managing the security of an IT asset based on the stages carried out. Continuation of research can be in the form of using the 6 stages of GSA with the support of adequate vulnerability data from the right scanner software.

Research study on seed physical property of Mongolian wheat varieties

Wheat is the main vital cereal crop in Mongolia (Triticum spp.) The size of the seed is one important feature of seed quality. It is directly related to plant growth, seed yield, market factor and harvest efficiency [1]. Equally important are the size and shape of the seed. The seed in the middle of spike ripens fast, after which the upper and lower parts ripen. Even though seeds in the lower part of the spike fill up at the same time as in the middle section of the spike, the seed ripens later. Seeds in the middle part of the spike have good filling and are bigger in size too. Moreover, they are good plantlets. A two year study was conducted in 2019-2020 to determine the effect of seed size on the yield potential of six wheat varieties, including such early maturing varieties (Darkhan-160, Darkhan-131), medium maturing varieties (Darkhan-34, Darkhan-212) and late maturing (Darkhan-144, Darkhan 181) varieties. Seed samples of 6 varieties were separated in to four groups of seed diameter size, 2.0-2.2 mm, 2.2-2.4 mm, 2.4-2.6 mm, and 2.6-2.8 mm respectively. The seedling density was 350 seeds/m2. The field trial was performed in a completely randomized block design with 3 replications. The 1000 kernel weight in spike parts in tillage stems of varieties, grain yield and seed fraction of the yield were determined by using Grain Scan software.
 The best qualified seeds were placed at the medium part of the spike. The 1000 kernel weight of the medium part of Darkhan-181, Darkhan-131, and Darkhan-34 varieties reached 40-43 g and Darkhan-144 variety had the highest 1000 kernel weight (40-47 g). The portions of different seed sizes in yield was significant among the varieties planted. The varieties with longer vegetation period result higher portion of larger seeds in yield as compared to varieties with short vegetation period. The portion of large (>2.4mm) seeds in yield increased from 41.6-46.85% to 72.9-76.8% in different maturity varieties (from early to late medium). Grain yield of plots was increased with uniform large seeds in both years. The use of largest seeds resulted in a more competitive cropping system, improving grain yields by 16.9%. The yield decreased by 4.9% by planting seeds (2.0-2.2 mm) smaller than the control fraction (2.2-2.4 mm). The use of uniform large seeds increased both seedling emergence and grain yield. Results demonstrate that medium and mid-large uniform seeds (>2.2mm and >2.4mm) in accordance with the seed properties of the variety were useful in wheat seed production

A domain adaptation benchmark for T1-weighted brain magnetic resonance image segmentation.

Accurate brain segmentation is critical for magnetic resonance imaging (MRI) analysis pipelines. Machine-learning-based brain MR image segmentation methods are among the state-of-the-art techniques for this task. Nevertheless, the segmentations produced by machine learning models often degrade in the presence of expected domain shifts between the test and train sets data distributions. These domain shifts are expected due to several factors, such as scanner hardware and software differences, technology updates, and differences in MRI acquisition parameters. Domain adaptation (DA) methods can make machine learning models more resilient to these domain shifts. This paper proposes a benchmark for investigating DA techniques for brain MR image segmentation using data collected across sites with scanners from different vendors (Philips, Siemens, and General Electric). Our work provides labeled data, publicly available source code for a set of baseline and DA models, and a benchmark for assessing different brain MR image segmentation techniques. We applied the proposed benchmark to evaluate two segmentation tasks: skull-stripping; and white-matter, gray-matter, and cerebrospinal fluid segmentation, but the benchmark can be extended to other brain structures. Our main findings during the development of this benchmark are that there is not a single DA technique that consistently outperforms others, and hyperparameter tuning and computational times for these methods still pose a challenge before broader adoption of these methods in the clinical practice.

The Mask Fitter, a Simple Method to Improve Medical Face Mask Adaptation Using a Customized 3D-Printed Frame during COVID-19: A Survey on Users’ Acceptability in Clinical Dentistry

COVID-19 has deeply impacted clinical strategies in dentistry and the use of surgical masks and respirators has become critical. They should adapt to the person’s facial anatomy, but this is not always easy to achieve. Bellus3D Company proposed to apply their face scan software, used with selected smartphones and tablets, to design and 3D-print a bespoke “Mask Fitter” to improve the sealing of surgical masks and respirators. Twenty dental staff participants were face scanned and a Mask Fitter for FFP2 respirators was designed and 3D-printed. Participants were asked to wear their Mask Fitter over one week and then completed a survey. Questions were asked about wearing comfort, sealing confidence, glasses or loupes fogging, both with and without the Mask Fitter. Dental staff gave positive feedback, with levels of comfort during daily use reported as similar with and without the Mask Fitter; and a higher confidence in achieving a proper seal, ranging from a 10% confidence rating of a proper seal without the Mask Fitter to 75% with the Mask Fitter. Moreover, fogging problems decreased considerably. The tested Mask Fitter device could represent an easy and low-cost procedure to improve the facial adaptation of the FFP2 respirator.

Wear and Color Stability of Preheated Bulk-fill and Conventional Resin Composites.

Bulk-fill resin composite is commonly used in direct restorations. It is recommended that the high-viscosity version of these materials be preheated to improve flowability and adaptability. It is unknown what effects preheating (PH) might have on the wear resistance and color stability of these resin composites. This study compared the wear and color stability of high-viscosity bulk-fill and conventional resin composites with and without PH, using the CIEDE2000 formula. Thirty-two disc-shaped specimens (n=16, 10×3 mm) were prepared with Filtek One Bulk Fill Restorative (FOBFR; 3M ESPE) and Filtek Supreme Ultra (FSU, 3M ESPE) to determine wear. Each group was divided into subgroups based on preparation conditions, that is, PH and room temperature (RT) (n=8). Thermomechanical fatigue was applied to specimens, and volumetric material loss was calculated using a laser scanner (LAS-20, SD Mechatronik, Feldkirchen-Westerham, Germany) and three-dimensional imaging software (Geomagic, 3D Systems, Rock Hill, SC, USA). An additional 124 disc-shaped specimens (n=64, 10×1 mm) were prepared with FOBFR and FSU, and subgroups were formed based on preparation conditions (PH and RT, n=32). Specimens were aged for 14 days in coffee, grape juice, distilled water, and thermocycling (20,000 cycles, 5°C-55°C). To determine color change, the lightness (L), chroma (C), and hue (H) values were measured at baseline and after 14 days using the CIEDE2000 formula. All data were statistically analyzed, and a 95% significance level was set. In both the PH and RT groups, FSU exhibited greater wear than FOBFR (p<0.05). Both materials were subjected to increased wear as a result of PH. After aging, a significant difference in color change was observed (p<0.05) when controlling for time and resin composite type, except for deionized water and thermocycling (p>0.05). PH had no effect on the color stability of the resin composite at any time (p<0.05). The high-viscosity bulk-fill resin composite displayed superior wear resistance and similar color stability compared with its conventional counterpart. PH resin composite may increase its susceptibility to wear and has no effect on its color stability.

Assessing the quality of cytopathology whole slide imaging for education from archived cases.

Many institutions have cytopathology case archives for education. Unfortunately, these slides deteriorate over time and have limited accessibility. Whole slide imaging (WSI) can overcome these limitations. However, suboptimal image quality and scanning effort are barriers. We selected 123 slides from cytopathology study sets for WSI scanning at 400x magnification without z-stacking. The Ventana DP 200 scanner and Virtuoso software were used. Slides were scanned in 2 rounds: the first round of slides was prepared for scanning with light cleaning, and the second round was performed only on slides that had unacceptable WSI quality after thorough cleaning. Slides were assessed with a 4-tier grading system created by the authors. Time to scan each slide was recorded. Within the first round, 96 of 123 (78%) slides scanned were determined to be of acceptable quality. After the second round of scanning, in total, 118 of 123 (95.9%) slides were determined to be of acceptable quality. The average time needed to scan each slide was 213 seconds. The majority of slides scanned were of acceptable quality in the first round of scanning. After cleaning and rescanning, nearly every slide investigated was of acceptable quality. The primary objective is to provide other institutions that may be considering a similar project a benchmark so that they know what to expect in terms of slide scan success rate and the amount of time needed to digitize slides for educational archiving. This pilot study demonstrates the feasibility of using WSI for cytology education cases.

Comprehensive analysis of m6A circRNAs identified in colorectal cancer by MeRIP sequencing.

PurposeTo characterize the entire profile of m6A modifications and differential expression patterns for circRNAs in colorectal cancer (CRC).MethodsFirst, High-throughput MeRIP-sequencing and RNA-sequencing was used to determine the difference in m6A methylome and expression of circRNA between CRC tissues and tumor-adjacent normal control (NC) tissues. Then, GO and KEGG analysis detected pathways involved in differentially methylated and differentially expressed circRNAs (DEGs). The correlations between m6A status and expression level were calculated using a Pearson correlation analysis. Next, the networks of circRNA-miRNA-mRNA were visualized using the Target Scan and miRanda software. Finally, We describe the relationship of distance between the m6A peak and internal ribosome entry site (IRES) and protein coding potential of circRNAs.ResultsA total of 4340 m6A peaks of circRNAs in CRC tissue and 3216 m6A peaks of circRNAs in NC tissues were detected. A total of 2561 m6A circRNAs in CRC tissues and 2129 m6A circRNAs in NC tissues were detected. Pathway analysis detected that differentially methylated and expressed circRNAs were closely related to cancer. The conjoint analysis of MeRIP-seq and RNA-seq data discovered 30 circRNAs with differentially m6A methylated and synchronously differential expression. RT-qPCR showned circRNAs (has_circ_0032821, has_circ_0019079, has_circ_0093688) were upregulated and circRNAs (hsa_circ_0026782, hsa_circ_0108457) were downregulated in CRC. In the ceRNA network, the 10 hyper-up circRNAs were shown to be associated with 19 miRNAs and regulate 16 mRNAs, 14 hypo-down circRNAs were associated with 30 miRNAs and regulated 27 mRNAs. There was no significant correlation between the level of m6A and the expression of circRNAs. The distance between the m6A peak and IRES was not significantly related to the protein coding potential of circRNAs.ConclusionOur study found that there were significant differences in the m6A methylation patterns of circRNAs between CRC and NC tissues. M6A methylation may affect circRNA-miRNA-mRNA co-expression in CRC and further affect the regulation of cancer-related target genes.

Malware classification using word embeddings algorithms and long‐short term memory networks

AbstractThe number of malicious software applications, or malware programs, increases every year. Their development becomes more sophisticated as new techniques are used to bypass program scanning software applications, such as antiviruses. Thereby, deep learning‐based methods emerge as a new promising way to identify these threats. Our main purpose and contribution in this work is proposing and implementing a successful approach to tackle both binary and multiclass malware classification problems. We used unsupervised word embedding algorithms for representing software applications to be analyzed and long‐short term memory for classifying the software applications. For evaluating our pipeline, we introduce a new dataset for binary and multiclass malware classification because we could not find large datasets containing sufficient samples of cleanware and the various malware types for multiclass classification that could be used to evaluate classification models. Our experimental results reached an accuracy of 88.94% for binary classification and 75.13% for multiclass classification. These results suggest that the proposed dataset is challenging, and using it can help in the training of better malware classifiers, improving security.

Cell Structure Improvement in Melt Processed Pure Aluminium Foams by Pre-treatment of Foaming Mixture

This work aims to evaluate the cell structure of aluminium foams blown by using foaming mixture subjected under ball milling and heat treatments. This paper presents the study on the effects of various pre-treatment of foaming mixture on the cell structure of foamed aluminium (Al) fabricated via melt route. This study also demonstrates how the melt foaming method can be used to fabricate small-sized Al foams. Prior to foaming the Al melt, the foaming mixture containing TiH2 and Al was pre-treated by ball milling and heat treatment in four different ways. The foaming mixtures were characterized by X-ray diffraction (XRD), Energy Dispersive X-ray Analysis (EDAX) and Scanning Electron Microscope (SEM) techniques. The macrostructure of the foams has been characterized by optical scanner and ImageJ software. The mechanical properties of the foam samples were evaluated by quasi-static compression test. XRD results revealed the TiO2 and Ti3O phases formed in the heat treated TiH2 powders. SEM micrographs showed the morphological changes occurred to Al and TiH2 powders and their distribution before and after ball milling. EDAX reported the chemical composition of elements present in the foaming mixtures. Ball milled foaming mixture not only increases the number of TiH2 particles, but also reduces the hydrogen content during the foaming stage. The foam produced from heat-treated and ball-milled foaming mixture shows better cell size & structure with good homogeneity. However, the mechanically mixed foaming mixture produce foam with good strength and energy absorption capability.

A methodology for determining precision and accuracy of the measurement of position and orientation of implant interfaces for multi-implant structures.

The digital workflow relies on many technologies such as intra-oral scanners, CBCT, guided surgery, robotics, and photogrammetry. Efficient and uniform testing methods are required for assessing the precision and accuracy of these systems to select the right technology for the right task. The method uses values that are directly derived from the measurement of the implant position and orientation in the scanning software, photogrammetry software, and/or the CAD software. It was developed over a decade ago for desktop scanners and successfully used for photogrammetry, intra-oral scanners, and CBCT. The components which can be evaluated are the positional precision and accuracy in the implant plane, in the implant axis, and the direction/angle of the implant axis. The methodology can also be used to assess the impact of errors in the implant axis on the fit of the structure. Many other values such as cross arch distances can be computed. Applying this methodology to several devices brought to light the huge differences in their behavior. This has a major impact on how the devices need to be tested. The precision both in vitro and in vivo can be determined easily. This led to important conclusions relating to the validity of in vitro tests. The methodology is providing an efficient and uniform method for the analysis of the precision and accuracy of multi-implant structures. It has brought to light the strengths and weaknesses of different technologies not known before.

Maxillary Expansion: A Comparison of Damon Self-Ligating Bracket Therapy with MARPE and PAOO.

Purpose The aim of this study was to investigate arch parameters and dentoalveolar changes from pretreatment to posttreatment by comparing the Miniscrew Assisted Rapid Palatal Expansion (MARPE), Periodontally Accelerated Osteogenic Orthodontics (PAOO), and Damon self-ligating bracket therapies. Materials and Methods Seventy-nine patients underwent maxillary expansion followed by or in conjunction with Damon (n = 23), PAOO (n = 28), and MARPE (n = 28) therapies. Nine maxillary dental arch parameters were compared at pretreatment, posttreatment as well as, increments of treatment change. Measurements were made on STL study casts using 3Shape Ortho Analyzer 3D scanner software. Results All groups showed significant posterior width increase in the molar area. The mean increase in inter-molar distance was more than 8X greater in MARPE group compared to Damon and more than 4X greater compared to PAOO. MARPE showed significantly greater increments of change in inter-molar width and palatal vault area Conclusions All groups showed a significant width increase in the canine and molar area. MARPE showed the greatest increase in inter-molar width, followed by PAOO and Damon. MARPE was the only group to show a significant increase in palatal vault area.

A Digital Technique to Manage Restoration of Severely Tilted Adjacent Implants: A Dental Technique.

Implant placement in close proximity with adverse angulations may result in difficulty with impression making. With the lock surface function provided by intraoral scanning software programs, severely tilted adjacent implants can be digitized one by one without interfering with the accuracy of the digital cast. This article presents a straightforward digital impression technique for severely mesiodistally tilted adjacent implants in a clinical case.

Quantitative Methods to Detect Suicide and Self-Harm Clusters: A Systematic Review

Suicide and self-harm clusters exist in various forms, including point, mass, and echo clusters. The early identification of clusters is important to mitigate contagion and allocate timely interventions. A systematic review was conducted to synthesize existing evidence of quantitative analyses of suicide and self-harm clusters. Electronic databases including Medline, Embase, Web of Science, and Scopus were searched from date of inception to December 2020 for studies that statistically analyzed the presence of suicide or self-harm clusters. Extracted data were narratively synthesized due to heterogeneity among the statistical methods applied. Of 7268 identified studies, 79 were eligible for narrative synthesis. Most studies quantitatively verified the presence of suicide and self-harm clusters based on the scale of the data and type of cluster. A Poisson-based scan statistical model was found to be effective in accurately detecting point and echo clusters. Mass clusters are typically detected by a time-series regression model, although limitations exist. Recently, the statistical analysis of suicide and self-harm clusters has progressed due to advances in quantitative methods and geospatial analytical techniques, most notably spatial scanning software. The application of such techniques to real-time surveillance data could effectively detect emerging clusters and provide timely intervention.

Comparison of test\u2013retest reliability of BOLD and pCASL fMRI in a two-center study

BackgroundThe establishment of test–retest reliability and reproducibility (TRR) is an important part of validating any research tool, including functional magnetic resonance imaging (fMRI). The primary objective of this study is to investigate the reliability of pseudo-Continuous Arterial Spin Labeling (pCASL) and Blood Oxygen Level Dependent (BOLD) fMRI data acquired across two different scanners in a sample of healthy adults. While single site/single scanner studies have shown acceptable repeatability, TRR of both in a practical multisite study occurring in two facilities spread out across the country with weeks to months between scans is critically needed.MethodsTen subjects were imaged with similar 3 T MRI scanners at the University of Pittsburgh and Massachusetts General Hospital. Finger-tapping and Resting-state data were acquired for both techniques. Analysis of the resting state data for functional connectivity was performed with the Functional Connectivity Toolbox, while analysis of the finger tapping data was accomplished with FSL. pCASL Blood flow data was generated using AST Toolbox. Activated areas and networks were identified via pre-defined atlases and dual-regression techniques. Analysis for TRR was conducted by comparing pCASL and BOLD images in terms of Intraclass correlation coefficients, Dice Similarity Coefficients, and repeated measures ANOVA.ResultsBoth BOLD and pCASL scans showed strong activation and correlation between the two locations for the finger tapping tasks. Functional connectivity analyses identified elements of the default mode network in all resting scans at both locations. Multivariate repeated measures ANOVA showed significant variability between subjects, but no significant variability for location. Global CBF was very similar between the two scanning locations, and repeated measures ANOVA showed no significant differences between the two scanning locations.ConclusionsThe results of this study show that when similar scanner hardware and software is coupled with identical data analysis protocols, consistent and reproducible functional brain images can be acquired across sites. The variability seen in the activation maps is greater for pCASL versus BOLD images, as expected, however groups maps are remarkably similar despite the low number of subjects. This demonstrates that multi-site fMRI studies of task-based and resting state brain activity is feasible.

New approach in analysing rock property changes in vuggy carbonates

X Field is a HPHT carbonate gas field containing about 70% of CO2, and is located in offshore East Malaysia. In order for this field to be economical and environmental friendly, PETRONAS plans to reinject produced CO2 back into the reservoir. With this objective, PETRONAS Research Sdn Bhd is conducting a feasibility study on changes of reservoir rock properties due to this CO2 sequestration activity. As the available vuggy-carbonate core-plugs have a higher risk of damage, the team employed digital core analysis (DCA) technology for this study. The study consists of three phases. In the first phase, the selected core plugs were analysed using micro CT scan and image processing software. To mimic the gas reservoir, the core plugs were then saturated with synthethic brine, before undergoing centrifuge until Sw-irr from Pc data was reached. The second phase consisted of aging the core-plugs by immersion in supercritical CO2 at pressure and temperature of the reservoir for 45 days. In the third phase the core plugs were analysed via DCA again to determine changes caused by CO2 reaction in rocks. Due to the fragility of the selected samples, they the post aging DCA analysis revealed both mechanical and geochemical changes. However, the central part of the core-plugs was not mechanically damaged and could be used to analyse the changes in porosity mainly due to geochemical reaction. Our results indicate that there will be small impact of porosity changes due to CO2 storage activity in X Field. DCA has proven to be a very useful method in determining porosity changes in reservoir rocks. Not only can DCA determine porosity of broken core plugs, but it also can extract the unbroken parts of the rock for more accurate analysis.

MULTI-INSTITUTIONAL LARGE-SCALE VALIDATION OF 8 METHODS FOR AUTOMATIC KNEE MRI SEGMENTATION FOR USE IN CLINICAL TRIALS

Purpose: To evaluate the performance of 8 state-of-the-art knee MRI segmentations methods for assessment of cartilage quantity changes in clinical trials.While deep learning (DL) methods have demonstrated impressive, near-human performance for many image analysis tasks, some of the methods have been shown to be sensitive to changes in data distributions. For a multi-center, longitudinal study, there will be distribution shifts between centers and over time due to scanner software (e.g. image reconstruction methods) and hardware upgrades (coils, gradients, etc.).

Theoretical and experimental research on the quality of thermoformed foils using 3D-printed plastic moulds

An innovative approach to additive manufacturing consists in the possibility of producing moulds that can be used for traditional manufacturing processes such as thermoforming. The quality and dimensional precision of the interior surfaces of the plastic foils obtained after thermoforming is closely related to the used mould. The influencing factors considered are the different thermal and mechanical properties offered by the wide range of available plastic materials for additive manufacturing (AM), the multitude of printing parameters, and the technological process by means of which the mould was obtained. For the production of plastic moulds, Fused Filament Fabrication (FFF) and Selective Laser Sintering (SLS) processes, as well as materials specific to each technology, are used. This paper identifies and explains issues concerning the surface quality of the thermoformed foil through a systemic analysis approach and by conducting laboratory experiments. Optical 3D scanning equipment and software are employed to determine the proper additive process and materials for thermoforming process. The best quality of the finished product was obtained in the case of a male mould made by the SLS technology and PS foil with a thickness of 0.7 mm.

Particle and Particle Agglomerate Size Monitoring by Scanning Probe Microscope

In the present study, the use of a scanning probe microscope is described for monitoring the sizes of nanoparticles. Monitoring is the process of acquiring and analysing the set of overlapping images. The main analysis steps are image segmentation, determination of nanoparticles allocation and their sizes, determination of the overlap of images with one another, and exclusion of repeating measurements for the formation of the correct particle-size sampling. The thorough examination of commercial scanning probe microscopes, software, and image processing libraries showed that their capabilities are limited for image segmentation and determination of sizes in complex structured images. A method based on the surface curvature computation is proposed for the image segmentation (allocation of particles) and determination of particle sizes. The curvature is estimated using the surface area approximation with respect to the circumference. It is proposed to use sample displacement sensors as an aid for image stitching.

Experimental Study of Measuring Algorithm Accuracy of the Electromagnetic Distance Measurement Anticollision Tool

In order to prevent collision of complex structure well, accurate measurement of the distance of adjacent wells must be required during the development of the unconventional reservoir. The precision of the traditional survey tools and scanning software is not accurate enough. Based on the electromagnetic anticollision measuring calculation method, the electromagnetic anticollision detection tool was designed and simulation experiments were carried out. The influence of different position relations between sensor and casing on magnetic field strength detected by the sensor was analyzed. When the sensor and the casing were parallel and the distance of them was 0.5 m∼3 m, the tool could calculate accurately the distance and orientation of the adjoining well. When the angle between the sensor and the casing was within 50°, the calculation result was accurate. This research result validated the accuracy of the principle of the electromagnetic anticollision tool while drilling cluster well, and it could provide theoretical support for the development of electromagnetic detection tools.