Acquisition Software Research Articles

Maxillomandibular Reconstruction Using Insourced Virtual Surgical Planning and Homemade CAD/CAM: A Single-Center Evolution in 75 Patients.

Virtual surgical planning (VSP) and computer-aided design and manufacturing (CAD/CAM) of surgical guides and jigs have dramatically changed the predictability of bony reconstruction of the jaw. VSP craftsmanship can lead to precision and enables the surgeon to complement the donor bone osteotomies with bony resection of the jaw. In recent years, immediate dental rehabilitation has become an integral part of VSP. However, outsourced CAD/CAM technology is expensive and may not be an option for many institutions worldwide. The authors present here a consecutive series of 75 maxillofacial reconstructions from 2015 to 2020. We established an insourced "in-house" protocol for VSP and "home-made" CAD/CAM for the reconstruction of maxilla-mandibular defects with fibula, iliac crest, and scapular angle flaps. All patient files were analyzed retrospectively, and relevant parameters influencing the reconstructive outcome were determined. The authors went from a fibula-based protocol toward the selection of optimal vascularized bone for immediate placement of osteointegrated implants. Bone flap survival was 94.7% after 4 months. The 3-year patient survival is 77.6%. The authors show the multiple steps required for the routine use of in-house CAD/CAM and report the related financial balance. Insourced VSP and CAD/CAM has evolved into a valuable strategy in maxillomandibular reconstruction that promotes accuracy and precision and allows for occlusion-based planning with quality-of-life and aesthetic outcomes as essential parts of the reconstruction even in high-level oral cancers. Further reductions in the hardware and software acquisition costs may lead to widespread implementation of this innovative technology. Therapeutic, IV.

Design of Lithium Battery Monitoring System Based on GPRS Short Message Communication

The lithium battery in the new energy system works in the wilderness environment, and its data remote monitoring is often realized based on wireless communication, and this transmission method needs to set up exclusive base stations, which is costly. General Packet Radio Service (GPRS) short message communication realizes data transmission through satellite without setting up base stations. Based on the above situation, a lithium battery monitoring system based on GPRS short message communication is designed, and the system consists of monitoring terminal, GPRS receiver, and remote monitoring cloud platform. For the software and hardware requirements of data acquisition, data monitoring and GPRS short message communication, the corresponding design ideas and implementation scheme are given. Meanwhile, considering the impact of wilderness environment on satellite communication, a transmission error control method based on data backup is proposed to improve its transmission reliability. Finally, through practical testing, it is verified that the system can effectively transmit monitoring data and locate lithium batteries, and maintenance personnel can monitor data in real time through the cloud platform to reduce the construction and maintenance costs of remote monitoring.

Відтворення основного капіталу лісового господарства в умовах цифровізації, євроінтеграції та децентралізації: еколого-економічні аспекти

It is substantiated that the main capital of forestry economy includes the technical-technological, production-economic and natural-resource components, which requires the formation of a modern model of ecological and economic regulation of its reproduction to prevent the processes of exhausting and unbalanced forest use. It is determined that at the present moment the decisive influence on the paces, proportions and scale of reproduction of the main capital of forestry economy is exercised by the processes of European integration, digitalization and decentralization, which to some extent is reflected in the State Strategy for Forest Management of Ukraine until 2035. Studies have shown that in 2013–2021 in the dynamics of most articles of capital expenditures for the purchase of production equipment, cars, devices, machinery and mechanisms, there is an upward trend, owing to both the real growth of capital investments and devaluation-inflationary processes. It is revealed that in 2013–2021 there is a reduction in total capital expenditures for the purchase of road construction equipment, which reduces the ability of permanent forest users to develop a network of forestry roads. It is substantiated that deepening the digital transformation of the forest management system and the movement of forest products requires an increase in capital expenditures in the acquisition of modern software and other information and digital technologies, which will lead to an increase in the share of intangible assets in the structure of main capital of forestry economy. It is found that in recent years certain institutional prerequisites have been formed for diversification of sources of financial and investment support for the reproduction of fixed capital of forestry economy due to an increase in the volume of bank lending and additional attraction of foreign investments. It is proved that a perspective institutional form of diversification of sources of financing for the reproduction of main capital are public-private partnership agreements, which will ensure the consolidation of resources of the public and corporate sectors to accelerate the processes of expanded reproduction and economic development of the forest resource potential of the country.

Faculty’s Access to Information and Communication Technologies in Colleges and Universities in Central Visayas, Philippines

Information and communications technology (ICT) is a useful tool in the modern world, becoming indispensable, particularly in the educational setting. With this, the researchers looked into the ICT access of the faculty in colleges and universities in Central Visayas, Philippines. This access was measured through Faculty’s ICT Access (FICTA), administered through online surveys. Study findings revealed that faculty had physical access to ICT, evidenced by their acquisition of laptop computers, smartphones, Internet connections, and office suite software. Moreover, teachers were highly motivated to use ICT and highly skilled to operate, search, and strategize online. They also had high usage of ICT in their general and instructional work. Furthermore, motivation, skills, and usage access were significantly associated with one another. In conclusion, teachers have access to ICT which made their teaching better. Better digital infrastructure, more capability training, and encouraged utilization of ICT are recommended at the higher educational level in the country.

Development of Comprehensive Acquisition Software for Measurement While Drilling Data Based on VUE Coal Mine

For the current coal mine directional drilling MWD equipment and system are independent of each other, resulting in different forms of MWD data at the bottom of the hole, forming data islands; Based on the B/S system architecture mode, by comparing the measurement while drilling mode and measurement data format, the requirement module of data comprehensive acquisition system is analyzed; the background database of the integrated collection system is set up to develop the development of the integrated collection system of directional drilling while drilling data in coal mine. The verification shows that the data acquisition system can meet the unified collection and processing of various MWD data, the overall analysis and evaluation function, and achieve real-time data upload. It provides data network transmission guarantee for directional drilling data supervision platform in coal mine, and improves the intelligent level of coal mine drilling.

BioSAXS at European Synchrotron Radiation Facility – Extremely Brilliant Source: BM29 with an upgraded source, detector, robot, sample environment, data collection and analysis software

As part of its Extremely Brilliant Source (EBS) upgrade project, the ESRF's BM29 BioSAXS beamline was subject to a significant upgrade and refurbishment. In addition to the replacement of the beamline's original bending magnet source by a two-pole wiggler, leading to an increase in brilliance by a factor of 60, the sample environment of the beamline was almost completely refurbished: a vacuum-compatible Pilatus3 X 2M with a sensitive area of 253.7 mm × 288 mm and frame rates up to 250 Hz was installed, increasing the active area available and thus the q-scaling of scattering images taken; the sample changer was replaced with an upgraded version, allowing more space for customizable sample environments and the installation of two new sample exposure units; the software associated with the beamline was also renewed. In addition, the layout and functionality of the BSXCuBE3 (BioSAXS Customized Beamline Environment) data acquisition software was redesigned, providing an intuitive `user first' approach for inexperienced users, while at the same time maintaining more powerful options for experienced users and beamline staff. Additional features of BSXCuBE3 are queuing of samples; either consecutive sample changer and/or SEC-SAXS (size-exclusion chromatography small-angle X-ray scattering) experiments, including column equilibration were also implemented. Automatic data processing and analysis are now managed via Dahu, an online server with upstream data reduction, data scaling and azimuthal integration built around PyFAI (Python Fast Azimuthal Integration), and data analysis performed using the open source FreeSAS. The results of this automated data analysis pipeline are displayed in ISPyB/ExiSAXS. The upgraded BM29 has been in operation since the post-EBS restart in September 2020, and here a full description of its new hardware and software characteristics together with examples of data obtained are provided.

Towards a Successful Secure Software Acquisition

Towards a Successful Secure Software Acquisition

An Alternative Experimental Procedure to Determine the Solubility of Potassium Nitrate in Water with Automatic Data Acquisition Using Arduino for Secondary School: Development and Validation with Pre-Service Chemistry Teachers

In the laboratory, data acquisition systems are important, as they allow us to easily and precisely collect data. In this sense, Arduino emerges as an automatic data acquisition device with great potential, due to its low cost and high versatility. In this work, we describe the development of an experimental apparatus, with automatic data acquisition using Arduino, to determine the variation of the solubility of potassium nitrate in water as a function of temperature. Ten chemistry teachers in initial training were involved in developing and validating that alternative experimental procedure for secondary school. Pre-service chemistry teachers determined the solubility of the aforementioned salt at different temperatures, using both a method for the study of the solubility of salts that does not resort to automatic data acquisition as well as the alternative method proposed in this work. The experimental solubility curves of potassium nitrate were plotted for both situations. The experimental results obtained by both methods are similar and very close to the values reported in the literature. Moreover, chemistry teachers in initial training recognize that the proposed method can promote the development of secondary students’ skills such as greater mastery in assembling electrical circuits and in the use of technological devices or software for automatic data acquisition and processing. Thus, the results suggest the feasibility of the developed experimental method for its implementation in an educational context with secondary students and prove it to be an asset for the education of students, when compared to the traditionally used method.

Kitchen-based light tomography - a DIY toolkit for advancing tomography - by and for the tomography community

We present a recipe for building a portable DIY toolkit, entitled Kitchen-Based Light Tomography (KBLT) for performing tomography using visible light with low-cost and easily accessible components. We also present different use cases to mimic different challenges in tomography, such as imaging time evolving samples. All the software for motor controls, image acquisition, image reconstruction and analysis is open-sourced and available online. The fast acquisition of KBLT datasets permits 4D scanning (3D plus time), also in combination with so-called sample environments, which can support the advancement of improved image reconstruction algorithms. We believe this ‘Do it yourself’ (DIY) toolkit will be useful to tomography users, beamline scientists and computational researchers, and the tomography community in general.

Resting-state QEEG Neuro-Biomarkers for Diagnosis and Treatment Planning of Autism Spectrum Disorders

Background: Autism Spectrum Disorder (ASD) is a combination of complex neurodevelopment disabilities. Early resting-state EEG investigations of autism failed to identify consistent patterns of atypical neural activity. The evidence for the U-shaped profile of electrophysiological power alterations in ASD is primarily supportive, but a more hypothesis-driven effort is needed to confirm and validate it. Aim of study: The primary objective of the present study was to investigate the resting-state QEEG neuro-biomarkers by amplitude analysis as a diagnostic tool for autistic children, compared with a normative group while recording qEEG during an eyes-open condition. Patients and Methods: After excluding those with less than one-minute artifact-free EEG data or too many artifacts, the final participants were (N = 34) autistic children. The age range was 2-11 years (mean age 6.235 ± SD 2.7198 years), including 30 males (mean age 6.1667 ± SD 2.730 years) and four females (mean age 6.75 ± SD 2.986 years). For the qEEG recording, BrainMaster Discovery 20 module and BrainAvatar 4.0 Discovery (Acquisition software) were used. Results: After calculating and analyzing all the QEEG data, the findings were categorized and confirmed the U-shaped power profile as an autism signature and as a diagnostic sign, characterized by excessive absolute power in low-frequencies (delta, theta) and high-frequencies bands (beta, hiBeta) and reduced absolute-power in a midrange frequency band (alpha). Conclusions: Recent literature and our findings have shown that ASD individuals have disturbances of neural connectivity. Neurofeedback (NFB) treatment seems to be an excellent approach to regulating such disorders when using QEEG neuro-biomarkers as a part of treatment planning.

Network Meta-analysis of Oral Chinese Patent Medicine in Treatment of Primary Osteoporosis

The efficacy of oral proprietary Chinese medicine in the prevention and treatment of primary osteoporosis was systematically evaluated through a network meta-analysis. The computer retrieved the four major Chinese databases of CNKI, VIP, Wang Fang, CBM in China and abroad, as well as the three English databases and Web of Science of Medline, EMbase and Cochrane Library. The search cycle was designed as the database was established until February 15, 2022, and screened randomized controlled trials of export taking proprietary Chinese medicine combined with conventional western medicine for the prevention and treatment of primary osteoporosis according to the system evaluation pre-formulated exclusion criteria. Literature screening and data extraction are completed by at least 2 clinical investigators alone. Bias assessment and mapping of included studies using the Revman software, using the Cochrane Bias Risk Assessment tool, using Stata 16. 0 Software for data acquisition and analysis. In the end, 19 RCTS were included, involving 8 kinds of oral proprietary Chinese medicines (You Gui Pills, Jin Tiange Capsules, Gu Shu Kang Granules, Qiang Bone Capsules, Gu Songbao Granules, Xianling Gu Bao Capsules, Hu Gu Capsules, Zuo Gui Pills). The results of the network meta-study are as follows: (1) in terms of improving clinical efficiency, conventional western medicine combined with Hu Gu Capsules has the best effect; (2) in terms of improving bone density, conventional western medicine combined with Xianling Gu Bao has the best effect. This network meta-analysis provides evidence for the efficacy of the above eight proprietary Chinese medicines in the treatment of patients with POP.

Laser Additive Remanufacturing Cladding Thickness Detection System

As an important parameter in laser additive remanufacturing technology, cladding thickness is related to the quality of remanufacturing. Thickness detection during the cladding process can help improve the cladding quality and facilitate manual adjustment of parameters in real time to optimize the cladding thickness. This system develops a set of cladding thickness detection system based on laser displacement sensor. The system consists of hardware and software parts. The hardware part includes laser displacement sensor, mounting plate, digital signal acquisition device and laser cladding system. The software part a set of data acquisition software is developed according to Visual Studio. The system uses two methods to measure, and eliminates the error caused by the tilt factor of the worktable, and realizes the online measurement of cladding thickness.

An evolutional deep learning method based on multi-feature fusion for fault diagnosis in sucker rod pumping system

As the smart oilfield has grown, various deep learning technologies are being utilized to recognize the graphic feature of the indicator diagram in order to detect the fault type of rod pump system, so as to maintain the oilfield's regular production. However, the original data for the indicator diagrams from various oil fields are influenced by different geographic conditions, sensor equipment, acquisition software, etc. and exhibit specific environmental characteristics. This poses difficulties for indicator diagram-based fault diagnosis methodologies and necessitates the use of a more generalizable diagnosis model. To address the issue, a multi-feature fusion fault diagnostic model is proposed. The model fuses the Fourier descriptor of the indicator diagram as a feature with the graphic feature to enhance the robustness of the feature. Firstly, the two backbone networks perform feature extraction on the single-modal input data of their own networks. Secondly, the information from the indicator diagram and the Fourier descriptor are learned together as features through the interactive fusion module. And finally the integrated features are used for feature classification to obtain the output of the network. The accuracy of the diagnostic model when using only a single feature is respectively: 0.8233(the graphic feature), 0.9422(the Fourier descriptor feature) according to the findings of the validation experiment, and when using the fusion of the two features is 0.9724. The results demonstrate that the suggested multi-input feature fusion model performs better than the single-input model. The technique makes use of the correlation between the features to realize their complementary benefits and enhance the effectiveness of the diagnostic model.

Mass spectrometry-based high-throughput proteomics and its role in biomedical studies and systems biology.

There are multiple reasons why the next generation of biological and medical studies require increasing numbers of samples. Biological systems are dynamic, and the effect of a perturbation depends on the genetic background and environment. As a consequence, many conditions need to be considered to reach generalizable conclusions.Moreover, human population and clinical studies only reach sufficient statistical power if conducted at scale and with precise measurement methods. Finally, many proteins remain without sufficient functional annotations, because they have not been systematically studied under a broad range of conditions. In this review, we discuss the latest technical developments in mass spectrometry (MS)-based proteomics that facilitate large-scale studies by fast and efficient chromatography, fast scanning mass spectrometers, data-independent acquisition (DIA), and new software. We further highlight recent studies which demonstrate how high-throughput (HT) proteomics can be applied to capture biological diversity, to annotate gene functions or to generate predictive and prognostic models for human diseases.

Hyperspectral Imaging for Viability Assessment of Human Liver Allografts During Normothermic Machine Perfusion.

Twenty-five deceased donor liver allografts were included in the study. During NMP, graft viability was assessed conventionally and by means of HSI. Images of liver parenchyma were acquired at 1, 2, and 4 h of NMP, and subsequently analyzed using a specialized HSI acquisition software to compute oxygen saturation, tissue hemoglobin index, near-infrared perfusion index, and tissue water index. To analyze the association between HSI parameters and perfusate lactate as well as perfusate pH, we performed simple linear regression analysis. Perfusate lactate at 1, 2, and 4 h NMP was 1.5 [0.3-8.1], 0.9 [0.3-2.8], and 0.9 [0.1-2.2] mmol/L. Perfusate pH at 1, 2, and 4 h NMP was 7.329 [7.013-7.510], 7.318 [7.081-7.472], and 7.265 [6.967-7.462], respectively. Oxygen saturation predicted perfusate lactate at 1 and 2 h NMP (R2 = 0.1577, P = 0.0493; R2 = 0.1831, P = 0.0329; respectively). Tissue hemoglobin index predicted perfusate lactate at 1, 2, and 4 h NMP (R2 = 0.1916, P = 0.0286; R2 = 0.2900, P = 0.0055; R2 = 0.2453, P = 0.0139; respectively). HSI may serve as a noninvasive tool for viability assessment during NMP. Further evaluation and validation of HSI parameters are warranted in larger sample sizes.

Correlation between the hysteresis of the pressure–volume curve and the recruitment-to-inflation ratio in patients with coronavirus disease 2019

BackgroundSince the response to lung recruitment varies greatly among patients receiving mechanical ventilation, lung recruitability should be assessed before recruitment maneuvers. The pressure–volume curve (PV curve) and recruitment-to-inflation ratio (R/I ratio) can be used bedside for evaluating lung recruitability and individualing positive end-expiratory pressure (PEEP). Lung tissue recruitment on computed tomography has been correlated with normalized maximal distance (NMD) of the quasi-static PV curve. NMD is the maximal distance between the inspiratory and expiratory limb of the PV curve normalized to the maximal volume. However, the relationship between the different parameters of hysteresis of the quasi-static PV curve and R/I ratio for recruitability is unknown.MethodsWe analyzed the data of 33 patients with severe coronavirus disease 2019 (COVID-19) who received invasive mechanical ventilation. Respiratory waveform data were collected from the ventilator using proprietary acquisition software. We examined the relationship of the R/I ratio, quasi-static PV curve items such as NMD, and respiratory system compliance (Crs).ResultsThe median R/I ratio was 0.90 [interquartile range (IQR), 0.70–1.15] and median NMD was 41.0 [IQR, 37.1–44.1]. The NMD correlated significantly with the R/I ratio (rho = 0.74, P < 0.001). Sub-analysis showed that the NMD and R/I ratio did not correlate with Crs at lower PEEP (− 0.057, P = 0.75; and rho = 0.15, P = 0.41, respectively). On the contrary, the ratio of Crs at higher PEEP to Crs at lower PEEP (Crs ratio (higher/lower)) moderately correlated with NMD and R/I ratio (rho = 0.64, P < 0.001; and rho = 0.67, P < 0.001, respectively).ConclusionsNMD of the quasi-static PV curve and R/I ratio for recruitability assessment are highly correlated. In addition, NMD and R/I ratio correlated with the Crs ratio (higher/lower). Therefore, NMD and R/I ratio could be potential indicators of recruitability that can be performed at the bedside.

A Fizeau interferometry stitching system to characterize X-ray mirrors with sub-nanometre errors

We present the development of a Fizeau interferometer stitching system to characterize the surface profile of state-of-the-art X-ray optics for synchrotron and free electron laser sources. Controls and acquisition software precisely translate and rotate the surface under test in synchrony with data capture by a Zygo Verifire HDX interferometer. Overlapping sub-aperture images are combined into a composite, high-spatial resolution topographical image of the entire optical surface using PyLOSt stitching software produced by the MooNpics collaboration. After minimization of random and systematic measurement errors, system performance was quantified by characterizing two challenging optics. These optics represent extreme cases for synchrotron X-ray mirrors: an aspheric elliptical profile with a slope error of ∼50 nrad rms, and a corresponding height error of 0.2 nm rms; and a chirped periodic structure superimposed upon a strong curvature (radius ∼ 9.33 m). Results are in very good agreement with the Diamond-NOM slope profilometer and Bruker GTX stitching micro-interferometer. Without a specialist transmission reference, both optics could not be measured by the interferometer without pitch and translation stitching. Any individual HDX scan, relative to the average of the ensemble, has an average slope error repeatability of < 15 nrad rms. After calibration of the transmission reference flat and zoom factor, a reproducibility of ∼ 27 nrad rms compared to the Diamond-NOM, was achieved for the elliptically curved mirror.

Evaluating the distribution of soil particle size on glass samples by a new generation of optical microscopy for solar PV applications.

In this work, an image analysis technique combining a new generation optical microscope (Leica DM6 M) and Cleanliness Expert image acquisition and processing software is proposed for the study of dirt particles on PV modules in three different regions: Souss-Massa region, Drâa-Tafilalet region, and Rabat-Salé-Kénitra region. This method offers the possibility of providing an appropriate assessment of the particle size distribution. The analyzed glass samples were installed in these three different regions, on wooden holders tiled 15°, 30°, and 45° and for a period ranging from 64 to 75days. The studies carried out to evaluate the soiling phenomenon based on image processing are very limited and do not take into account the total scanning of the analyzed surface. They are generally limited to a single (one) or a few images taken at different locations of the sample and are then extrapolated over the entire surface. This observation raises the question of the representativeness of the results obtained with respect to the result on the entire surface of the sample. In this context, we thought of carrying out this experimental study, which aims to answer this question and evaluate the particle size of the dirt samples on the PV modules. The results obtained in this study have shown that three images will be enough to represent the whole area of the sample. In addition, the dominant particle diameters by number are in the range of 1-5µm.

Dose Rate Measurements During the Tritium Campaign at JET and Diagnostic Improvements for the Deuterium–Tritium Experiments

The technological exploitation of the deuterium–tritium campaign at JET is the objective of the EUROfusion work package JET3 and, through the NEXP subproject, it intends to take advantage of the expected significant neutron production to validate the numerical tools used for shutdown dose rate (SDR) assessment and to study the reasons of discrepancies between calculations and measurements. The tritium campaign C40 was held in the first half of 2021 and two active gamma dosimeters based on spherical 1-L air-vented ionization chambers (ICs) were installed in some ex-vessel positions close to the horizontal ports of the tokamak in octants 1 and 2, have been employed to measure the dose rate. Moreover, for the deuterium–tritium campaign C41 (DTE2), a third IC suitable for higher dose rates was installed in octant 1. The present work is dedicated to the analysis of dose rate measurements carried out during the tritium campaign during the inter-pulse periods and the shutdown. Influence quantities and error sources are analyzed in order to calculate the dose rate from the raw signal and experimental uncertainty. Some improvements in the experimental equipment are described as well, as the assessment of the sensitivity of the ICs to the variation of oxygen concentration in the air (to simulate the nitrogen-enriched atmosphere in the JET torus hall during tritium operation) and the upgrade of the acquisition software to interface it with CODAS data store.

Calcium Imaging of Anopheles coluzzii Mosquito Antennae Expressing the Calcium Indicator GCaMP6f.

Calcium imaging is a technique used to measure functional neuronal activities in response to stimuli. It has been used for years to study odorant-induced responses in insects (i.e., honeybees, Drosophila, and moths) and was recently introduced into mosquitoes. Traditionally, calcium imaging in mosquitoes was performed using nonspecific calcium indicator dyes to examine neuronal responses in whole insect brain regions, but the development of genetically encoded calcium indicators (GECIs) has facilitated the ability to perform functional calcium imaging on specific tissues. For example, by specifically expressing a GECI in olfactory neurons, the odor-induced responses of these neurons in peripheral organs can be examined. Calcium imaging of mosquito antennae further provides an advantageous method for simultaneously visualizing the activity of several antennal neurons in a single experiment. In this protocol, we describe a calcium imaging method to study odor-evoked responses in Anopheles coluzzii antennae expressing the calcium indicator GCaMP6f. This method requires imaging equipment (compound microscope, light sources, and camera), an odorant delivery system, and image acquisition software. The mosquito preparation is straightforward but requires practice to minimize mosquito movement during imaging. Recorded videos can be analyzed using Fiji software to generate heatmaps and activity traces for odorant-evoked responses. This protocol can also be used, with some modifications, to study other peripheral organs (such as labella, palps, and tarsi).