Capture Tools Research Articles

Brain Tissue-Derived Extracellular Vesicles in Alzheimer's Disease Display Altered Key Protein Levels Including Cell Type-Specific Markers.

Brain tissue-derived extracellular vesicles (bdEVs) play neurodegenerative and protective roles, including in Alzheimer's disease (AD). Extracellular vesicles (EVs) may also leave the brain to betray the state of the CNS in the periphery. Only a few studies have profiled the proteome of bdEVs and source brain tissue. Additionally, studies focusing on bdEV cell type-specific surface markers are rare. We aimed to reveal the pathological mechanisms inside the brain by profiling the tissue and bdEV proteomes in AD patients. In addition, to indicate targets for capturing and molecular profiling of bdEVs in the periphery, CNS cell-specific markers were profiled on the intact bdEV surface. bdEVs were separated and followed by EV counting and sizing. Brain tissue and bdEVs from age-matched AD patients and controls were then proteomically profiled. Total tau (t-tau), phosphorylated tau (p-tau), and antioxidant peroxiredoxins (PRDX) 1 and 6 were measured by immunoassay in an independent bdEV separation. Neuron, microglia, astrocyte, and endothelia markers were detected on intact EVs by multiplexed ELISA. Overall, concentration of recovered bdEVs was not affected by AD. Proteome differences between AD and control were more pronounced for bdEVs than for brain tissue. Levels of t-tau, p-tau, PRDX1, and PRDX6 were significantly elevated in AD bdEVs compared with controls. Release of certain cell-specific bdEV markers was increased in AD. Several bdEV proteins are involved in AD mechanisms and may be used for disease monitoring. The identified CNS cell markers may be useful tools for peripheral bdEV capture.

Use of Glosses for Reading with Computers by Turkish Pre-Service English Language Teachers

The purpose of the study is to investigate the dictionary and glossary use of pre-service English language teachers while reading on the computer. The participants of the study were 26 first- and second-year pre-service English language teachers at a large Turkish public university. In order to explore their clicking and gloss-use behavior while reading, a web page with a pop-up glossary window was designed, and a screen capture tool was used to record the participants' actions. The findings of the study suggested that pre-service teachers were usually careful about their selection when they were looking up a word with. However, the results showed a discrepancy between the words that were claimed to be known and the words that were actually checked when reading with glossed texts. The study also confirmed learners' tendency for more look-ups with pop-up glosses mentioned in the literature.

Does Fitzpatrick Score Predict Flap Loss? Microsurgical Breast Reconstruction Outcomes of Varying Skin Color.

This is a retrospective study conducted on patients who underwent any type of autologous flap breast reconstruction performed by the two senior authors at an academic center between January 2010 and December 2021. The sole primary outcome variable was flap loss. Patient skin tone was assessed using the Fitzpatrick scale on clinical photographs of patients. A total of 1115 pateints underwent autologous flap breast reconstruction, of which only 56 met both exclusion and inclusion criteria with 58 individual breasts being included in the final study population. The most common race of subjects was White (n = 33; 56.9%) while the most common Fitzpatrick score skin tone was type II (n = 22; 37.9%). The Cochran-Armitage test of trend showed a statistically significant linear trend, P = 0.006, with darker Fitzpatrick score skin tones associated with a higher proportion of flap loss in patients who had vascular compromise. A logistic regression showed that none of the predictor variables were significant. Patients with darker Fitzpatrick skin tones were associated with flap loss after vascular compromise. To prevent flap loss in patients who have darker Fitzpatrick score skin tones, more aggressive flap monitoring should be taken into consideration in the immediate postoperative setting.

Badoo Android and iOS Dating Application Analysis

Usage of mobile dating apps has been a rising trend in recent times, including during the COVID-19 lockdown periods. One of the key concerns about the use of such apps is in the amount and types of user data collected (e.g., personal and sensitive information such as sexual orientation, and information about online activities such as intimate messages and browsing behaviors). Since it is relatively easy and inexpensive to setup a man-in-the-middle attack and intercept dating app communication, a natural question is then whether the communication is encrypted and/or how much ‘useful’ information an attacker can infer from the intercepted communication, for example using freely available tools. Seeking to answer this question, we focus on the Badoo dating applications for both Android and iOS mobile devices (i.e., app version 5.187.0 on iPphone 7 (iOS 14.2), and app version 5.198.1 on Moto G5 Plus (Android v7.0)). Specifically, we explain the types of information an individual could obtain using only a laptop and Wireshark, a freely available network capture tool.

Collaborating toward equity in Pennsylvania: The Age-Friendly Care, PA project.

To collaboratively implement the age-friendly health systems framework, known as the 4Ms: What Matters, Medication, Mentation, and Mobility, at The Primary Health Network (PHN), a federally qualified health center. Data were collected from PHN electronic medical records (EMRs) for individuals over age 65 from December 30, 2019 to December 24, 2021 and from Project ECHO© attendance and evaluation surveys. The telementoring educational program, Project ECHO©, was used to engage PHN health care professionals working in rural areas of Pennsylvania to incorporate the 4Ms into their practice starting with the annual wellness visit (AWV). Project ECHO© was launched at three primary care sites. After 18 months, it was then disseminated to an additional 18 sites creating pilot and comparison groups. Outcomes included codesigned patient process metrics using EMR data and project ECHO© participant data. EMR data were generated by system reports created by PHN's quality assurance program manager. Project ECHO© data were collected and managed using REDCap electronic data capture tools. Outcomes were aggregated, analyzed for trends over time, and compared between groups. All nine process outcomes increased from baseline to follow-up at the three initial sites, ranging from 4% to 43% g. At year two, the three initial sites had higher rates on AWVs (pilot 24%, comparison 12%; p < 0.0001), Advance Care Planning (New on file, pilot 8%, comparison 2%; Discussed with patient, pilot 18%, comparison 13%; Patient declined, pilot 0%, comparison 0%; p=0.0001), Dementia Screening (pilot 24%, comparison 12%; p < 0.0001), Fall Risk Management (pilot 43%, comparison 10%; p < 0.0001), and Mobility Goal (pilot 19%, comparison 9%; p < 0.0001); and lower rates on High-Risk Medication Elimination (pilot 54%, comparison, 63%, p < 0.02). Access to high-quality geriatric care for rural older adults can be improved by increasing health care professionals' knowledge of the 4Ms, beginning with its incorporation into the AWV.

Blockchain as enabling factor for implementing RFID and IoT technologies in VMI: a simulation on the Parmigiano Reggiano supply chain

Blockchain has recently been associated to Supply Chain Management to solve several problems and change operations management processes. The study proposes to analyse three different scenarios of the Parmigiano Reggiano supply chain considering blockchain technology as an enabler for the use of other technologies such as RFID and the Internet of Things (IoT) and for the exploitation of the Vendor Managed Inventory (VMI) strategy. The study is based on the evaluation of three agent-based simulation scenarios, a traditional "as is" scenario, a second "to be" scenario implementing emerging technologies including blockchain, and a third “to be” scenario that combines the second one with the VMI optimization strategy. The results show how the combined adoption of these technologies improves the procurement process and customer satisfaction. Findings highlight the impacts that the different scenarios have on the supply chain operations in a quantitative way and allows to evaluate the changes in supply chain processes. By employing emerging technologies, order management activities are more automated and time to order and lead time order preparation are reduced. However, to achieve these performances, other data capture tools such as RFID and IoT are needed. Finally, the introduction of the VMI strategy, when enabled by blockchain technology, improves the procurement performances and significantly reduces unfilled orders.

The Autoinflammatory Diseases Alliance Registry of monogenic autoinflammatory diseases

ObjectiveThe present manuscript aims to describe an international, electronic-based, user-friendly and interoperable patient registry for monogenic autoinflammatory diseases (mAIDs), developed in the contest of the Autoinflammatory Diseases Alliance (AIDA) Network.MethodsThis is an electronic platform, based on the Research Electronic Data Capture (REDCap) tool, used for real-world data collection of demographics, clinical, laboratory, instrumental and socioeconomic data of mAIDs patients. The instrument has flexibility, may change over time based on new scientific acquisitions, and communicate potentially with other similar registries; security, data quality and data governance are corner stones of the platform.ResultsAIDA project will share knowledge and expertise on mAIDs. Since its start, 118 centers from 24 countries and 4 continents have joined the AIDA project. Fifty-nine centers have already obtained the approval from their local Ethics Committees. Currently, the platform counts 337 users (122 Principal Investigators, 210 Site Investigators, 2 Lead Investigators, and 3 data managers). The Registry collects baseline and follow-up data using 3,748 fields organized into 21 instruments, which include demographics, patient history, symptoms, trigger/risk factors, therapies, and healthcare information for mAIDs patients.ConclusionsThe AIDA mAIDs Registry, acts both as a research tool for future collaborative real-life studies on mAIDs and as a service to connect all the figures called to participate. On this basis, the registry is expected to play a pivotal role in generating new scientific evidence on this group of rare diseases, substantially improving the management of patients, and optimizing the impact on the healthcare system. NCT 05200715 available at https://clinicaltrials.gov.

Health professional students at the University of Illinois Chicago (HOLISTIC) Cohort Study: A protocol.

ObjectivesThe objectives of the HOLISTIC Cohort Study are to establish a prospective cohort study covering a period of three years that characterizes the health of students within and across health professional education programs at the University of Illinois Chicago (UIC) during the coronavirus disease 2019 (COVID-19) pandemic, implement an interprofessional student research team, and generate a meaningful dataset that is used to inform initiatives that improve student health. This report describes the protocol of the HOLISTIC Cohort Study, including survey development, recruitment strategy, and data management and analysis.MethodsAn interprofessional student research team has been organized with the goal of providing continuous assessment of study design and implementation across the seven health science colleges (applied health sciences, dentistry, medicine, nursing, pharmacy, public health, and social work) at the University of Illinois Chicago in Chicago, IL. To be eligible to participate in the HOLISTIC Cohort Study, students are required to be 1) age 18 years or older; 2) enrolled full- or part-time in one or more of UIC’s seven health science colleges; and 3) enrolled in a program that prepares its graduates to enter a healthcare profession. The study protocol includes a series of three recruitment waves (Spring 2021 [April 14, 2021, to May 5, 2021; completed], Spring 2022, Spring 2023). In the first recruitment wave, eligible students were sent an invitation via electronic mail (e-mail) to complete an online survey. The online survey was based on the U.S. Centers for Disease Control and Prevention’s Behavioral Risk Factor Surveillance System 2019 survey and the 2014 World Health Organization Report of the Strategic Advisory Group of Experts Working Group Vaccine Hesitancy Scale. Electronic informed consent and study data are collected and managed using Research Electronic Data Capture (REDCap) tools. This study utilizes convenience sampling from all seven health science colleges at UIC with a target recruitment total of 2,000 participants.Discussion and future directionsA total of 555 students across all seven health science colleges (10.8% of 5,118 students who were invited; 27.6% of target sample size) enrolled in the cohort during the first recruitment wave. The pilot data establishes the feasibility of the study during the COVID-19 pandemic. Adaptations to overcome barriers to study implementation, including the use of remote, rather than in-person, study meetings, staff training, and participant recruitment are discussed. For the second and third waves of recruitment, the student research team will seek institutional review board (IRB) approval to implement additional enrollment strategies that are tailored to each health science college, such as online newsletters, virtual townhalls, flyers on bulletin boards near classrooms tailored to each health science college.

Simulation-Based Education of Endovascular Scrub Nurses Reduces Stress and Improves Team Performance

IntroductionEndovascular procedures have become commonplace in vascular surgery. This development calls for new training strategies for future specialists. Most simulation-based education (SBE) programs have a monodisciplinary focus on physicians, although successful surgery is a multidisciplinary team effort. Mental stress impairs the learning process and surgical performance and heart rate variability (HRV) can be measured as a proxy for both mental and physical stress. This study aims to assess how SBE of endovascular scrub nurses affects team performance and HRV during endovascular aneurysm repair (EVAR). Materials and methodsProspective interventional study in which EVAR-inexperienced scrub nurses followed a focused SBE EVAR program. During real-life EVAR procedures, HRV was continuously recorded with a wireless electrocardiogram patch and multidisciplinary team performance was assessed with the Imperial College Error CAPture (ICECAP) tool, before and after the SBE program, allowing each scrub nurse to serve as their own control. Eight scrub nurses with experience in lower limb endovascular procedures, but not EVAR, were invited to participate. ResultsSeven participants completed the study. In five of seven scrub nurses, HRV-derived stress levels during real-time EVAR procedures were lower after SBE compared to before SBE. Mean HRV increased from 24 msec to 35 msec (P < 0.001), indicating stress level reduction. Before SBE, the mean number of errors/hour was 7.3 (standard deviation ± 1.8) compared to 3.6 (standard deviation ± 2.7) after SBE. Most errors were categorized as technical (58 %) and communicative (23 %). ConclusionsSBE of scrub nurses may improve team performance and may lower mental stress during EVAR procedures. In this small study, we suggest using mental stress, as evaluated with HRV, and multidisciplinary team performance, as evaluated with ICECAP, to assess SBE effectiveness in real-case EVAR procedures. This SBE program and live ICECAP observations and electrocardiogram patches was well-accepted by scrub nurses and the entire team.

Tool for optimization of energy consumption of membrane-based carbon capture

The reduction of CO2 emissions is a very challenging issue. The capture of CO2 from combustion processes is associated with high energy consumption and decreases the efficiency of power-producing facilities. This can affect the economy and in specific cases, such as waste-to-energy plants, also their classification according to legislation. To allow the minimization of energy consumption, an optimization tool for membrane-based post-combustion capture was developed. The approach allows finding optimal membrane properties, membrane areas, and pressures for individual separation stages from the point of view of energy consumption. The core of the approach is represented by a mathematical model of the separation system that is based on a network flow problem. The model utilizes external simulation modules for non-linear problems to enable finding globally optimal results. These external modules approximate non-linear dependencies with any desired precision and allow using different mathematical descriptions of individual membrane stages without making changes to the model. Moreover, it allows easy substitution of the external module by experimental data and the model can be easily modified for specific purposes such as decision making, designing the separation process, as well as for regulation of process parameters in the case of dynamic operation. The ability of the model to optimize the process was verified on a case study and the results show that the optimization can significantly reduce the energy consumption of the process. For separation of 90% of CO2 at the purity of 95% from initial flue gas with 13% CO2 with state-of-the-art membranes based on the Robeson upper bound and three-stage process, the minimum power consumption was 1.74 GJ/tCO2 including final CO2 compression.

‘Scraping’ Reddit posts for academic research? Addressing some blurred lines of consent in growing internet-based research trend during the time of Covid-19

ABSTRACT The global scale of Covid-19 has constrained academics from conducting much person-facing research. Reactively, trend is increasing for digital-based methodologies capturing already existing online data. Scholars often ‘scrape’ user-postings from internet forums using coding algorithms and text capture tools, before analysing data, drawing conclusions and publishing findings. The online social news aggregation and discussion website Reddit is a particularly rich source of data for researchers. The public nature of Reddit materials may suggest rationale for user-data to be replicated, analysed and archived; indefinitely and in multiple locations, for scholarly research. However, this position overlooks several key ethical considerations. This paper presents an overview and explanation of Reddit, followed by an exploration of studies that use Reddit-acquired data. Arising ethical issues are discussed, and solutions to salient dilemmas presented. This is to enhance awareness of potential problems and improve protections for those whose data is unknowingly used for research.

State of use of Electronic Data Capture (EDC) tools in randomized controlled trials in India

ObjectivesElectronic data capture (EDC) tools can improve data quality gathered in clinical trials and may be more cost-effective. However, limited data is available on the adoption of EDC tools in randomized controlled trials (RCT) conducted in India. The objective of the current study was to determine the EDC adoption rate in RCTs in India. MethodsWe invited investigators of registered RCTs in India to an online survey. The questionnaire included questions on the use of EDC and features available. An EDC sophistication level (range 1 - 6) was computed. Respondents were also asked about barriers to the implementation of EDC. The EDC adoption rate (EAR) was defined as the proportion of clinical trials where EDC with a sophistication level of 2 or more was used. Multivariable logistic regression was used to identify factors that predicted EDC adoption. Results321 responses were received for 400 unique trials (participation rate of 21%), with an EAR of 27.5% (95% confidence intervals : 23.4% to 32.1%, n = 110). The number of sites influenced EDC adoption (odds ratio : 1.26, 95% CI : 1.12 - 1.47, p = 0.001) on multivariable analysis. EAR did not increase over time. The key barriers identified for not using an EDC were lack of technical support (170, 63.0%) and software cost (132, 48.9%). ConclusionsThe survey shows a low EAR in randomized trials registered in India. The barriers identified in the survey would need systematic solutions to improve the EAR in the future.

Development and implementation of the AIDA International Registry for patients with Periodic Fever, Aphthous stomatitis, Pharyngitis, and cervical Adenitis syndrome.

ObjectiveAim of this paper is to illustrate the methodology, design, and development of the AutoInflammatory Disease Alliance (AIDA) International Registry dedicated to patients with the Periodic Fever, Aphthous stomatitis, Pharyngitis, and cervical Adenitis (PFAPA) syndrome.MethodsThis is a physician-driven, non-population- and electronic-based registry proposed to gather real-world demographics, clinical, laboratory, instrumental and socioeconomic data from PFAPA patients. Data recruitment is realized through the on-line Research Electronic Data Capture (REDCap) tool. This registry is thought to collect standardized information for clinical research leading to solid real-life evidence. The international scope and the flexibility of the registry will facilitate the realization of cutting-edge study projects through the constant updating of variables and the possible merging and transfer of data between current and future PFAPA registries.ResultsA total of 112 centers have already been involved from 23 countries and 4 continents starting from August 24th, 2021, to April 6th, 2022. In total 56/112 have already obtained the formal approval from their local Ethics Committees. The platform counts 321 users (113 principal investigators, 203 site investigators, two lead investigators, and three data managers). The registry collects retrospective and prospective data using 3,856 fields organized into 25 instruments, including PFAPA patient's demographics, medical histories, symptoms, triggers/risk factors, therapies, and impact on the healthcare systems.ConclusionsThe development of the AIDA International Registry for PFAPA patients will enable the on-line collection of standardized data prompting real-life studies through the connection of worldwide groups of physicians and researchers. This project can be found on https://clinicaltrials.gov NCT 05200715.

Development and implementation of the AIDA international registry for patients with Schnitzler's syndrome.

ObjectiveThe present paper describes the design, development, and implementation of the AutoInflammatory Disease Alliance (AIDA) International Registry specifically dedicated to patients with Schnitzler's syndrome.MethodsThis is a clinical physician-driven, population- and electronic-based registry implemented for the retrospective and prospective collection of real-life data from patients with Schnitzler's syndrome; the registry is based on the Research Electronic Data Capture (REDCap) tool, which is designed to collect standardized information for clinical research, and has been realized to change over time according to future scientific acquisitions and potentially communicate with other existing or future similar registries.ResultsSince its launch, 113 centers from 23 countries in 4 continents have been involved. Fifty-seven have already obtained the approval from their local Ethics Committees. The platform counts 324 users (114 Principal Investigators, 205 Site Investigators, 2 Lead Investigators, and 3 data managers) at current (April 28th, 2022). The registry collects baseline and follow-up data using 3,924 fields organized into 25 instruments, including patient's demographics, history, clinical manifestations and symptoms, trigger/risk factors, laboratory, instrumental exams, therapies, socioeconomic information, and healthcare access.ConclusionsThis International Registry for patients with Schnitzler's syndrome facilitates standardized data collection, enabling international collaborative projects through data sharing and dissemination of knowledge; in turn, it will shed light into many blind spots characterizing this complex autoinflammatory disorder.

Development and implementation of the AIDA International Registry for patients with Behçet’s disease

Purpose of the present paper is to point out the design, development and deployment of the AutoInflammatory Disease Alliance (AIDA) International Registry dedicated to pediatric and adult patients with Behçet’s disease (BD). The Registry is a clinical physician-driven non-population- and electronic-based instrument implemented for the retrospective and prospective collection of real-life data about demographics, clinical, therapeutic, laboratory, instrumental and socioeconomic information from BD patients; the Registry is based on the Research Electronic Data Capture (REDCap) tool, which is thought to collect standardised information for clinical real-life research, and has been realised to change over time according to future scientific acquisitions and potentially communicate with other existing and future Registries dedicated to BD. Starting from January 31st, 2021, to February 7th, 2022, 110 centres from 23 countries in 4 continents have been involved. Fifty-four of these have already obtained the approval from their local Ethics Committees. Currently, the platform counts 290 users (111 Principal Investigators, 175 Site Investigators, 2 Lead Investigators, and 2 data managers). The Registry collects baseline and follow-up data using 5993 fields organised into 16 instruments, including patient’s demographics, history, clinical manifestations and symptoms, trigger/risk factors, therapies and healthcare access. The development of the AIDA International Registry for BD patients will facilitate the collection of standardised data leading to real-world evidence, enabling international multicentre collaborative research through data sharing, international consultation, dissemination of knowledge, inclusion of patients and families, and ultimately optimisation of scientific efforts and implementation of standardised care.Trial registration NCT05200715 in 21/01/2022.

Development and Implementation of the AIDA International Registry for Patients With VEXAS Syndrome.

ObjectiveThe aim of this paper is to present the AutoInflammatory Disease Alliance (AIDA) international Registry dedicated to Vacuoles, E1 enzyme, X-linked, Autoinflammatory, Somatic (VEXAS) syndrome, describing its design, construction, and modalities of dissemination.MethodsThis Registry is a clinical, physician-driven, population- and electronic-based instrument designed for the retrospective and prospective collection of real-life data. Data gathering is based on the Research Electronic Data Capture (REDCap) tool and is intended to obtain real-world evidence for daily patients' management. The Registry may potentially communicate with other on-line tools dedicated to VEXAS syndrome, thus enhancing international collaboration and data sharing for research purposes. The Registry is practical enough to be easily modified to meet future needs regarding VEXAS syndrome.ResultsTo date (April 22nd, 2022), 113 Centers from 23 Countries in 4 continents have been involved; 324 users (114 Principal Investigators, 205 Site Investigators, 2 Lead Investigators, and 3 data managers) are currently able to access the registry for data entry (or data sharing) and collection. The Registry includes 4,952 fields organized into 18 instruments designed to fully describe patient's details about demographics, clinical manifestations, symptoms, histologic details about skin and bone marrow biopsies and aspirate, laboratory features, complications, comorbidities, therapies, and healthcare access.ConclusionThis international Registry for patients with VEXAS syndrome will allow the achievement of a comprehensive knowledge about this new disease, with the final goal to obtain real-world evidence for daily clinical practice, especially in relation to the comprehension of this disease about the natural history and the possible therapeutic approaches. This Project can be found on https://clinicaltrials.gov NCT05200715.

The Power of Patient Engagement With Electronic Health Records as Research Participants.

Electronic health record (EHR) technology has become a central digital health tool throughout health care. EHR systems are responsible for a growing number of vital functions for hospitals and providers. More recently, patient-facing EHR tools are allowing patients to interact with their EHR and connect external sources of health data, such as wearable fitness trackers, personal genomics, and outside health services, to it. As patients become more engaged with their EHR, the volume and variety of digital health information will serve an increasingly useful role in health care and health research. Particularly due to the COVID-19 pandemic, the ability for the biomedical research community to pivot to fully remote research, driven largely by EHR data capture and other digital health tools, is an exciting development that can significantly reduce burden on study participants, improve diversity in clinical research, and equip researchers with more robust clinical data. In this viewpoint, we describe how patient engagement with EHR technology is poised to advance the digital clinical trial space, an innovative research model that is uniquely accessible and inclusive for study participants.

The characterization of an agranulocyte-specific marker (CgCD9) in the Pacific oyster Crassostrea gigas

The agranulocytes in the Pacific oyster Crassostrea gigas are a group of haemocytes that are significantly different from semi-granulocytes and granulocytes on the morphology. Agranulocytes are the smallest haemocytes characterized by a spherical shape, the largest ratio of nucleus to cytoplasm, and no granules in the cytoplasm. The lack of unique cell surface markers impedes the isolation of agranulocytes from total haemocytes. Previous transcriptome sequencing analysis of three subpopulations of haemocytes revealed that a homologue of CD9 (designed as CgCD9) was highly expressed in agranulocytes of oyster C. gigas (data not shown). In the present study, CgCD9 was identified to share a similarity of 60% with other vertebrates CD9s, and it harbored a typical four transmembrane domain and a conserved Cys-Cys-Gly (CCG) motif. The mRNA transcript of CgCD9 was found to be highly expressed in agranulocytes, which was 6.63-fold (p < 0.05) and 3.68-fold (p < 0.05) of that in granulocytes and semi-granulocytes, respectively. A specific monoclonal antibody of CgCD9 (named 3D8) was successfully prepared by traditional hybridoma technology, and a single positive band at 25.2 kDa was detected in the haemocyte proteins by Western Blotting, indicating that this monoclonal antibody exhibited high specificity and sensitivity to CgCD9 protein. The ELISA positive value of 3D8 monoclonal antibody to recognize agranulocytes, semi-granulocytes and granulocytes was 17.35, 4.48 and 1.55, respectively, indicating that monoclonal antibody was specific to agranulocytes. Immunocytochemistry assay revealed that CgCD9 was specifically distributed on the membrane of agranulocytes. Using immunomagnetic beads coated with 3D8 monoclonal antibody, CgCD9+cells with a purity of 94.53 ± 5.60% were successfully isolated with a smaller diameter, a larger N:C ratio and no granules in cytoplasm, and could be primary culture in the modified L-15 medium in vitro. Collectively, these results suggested that CgCD9 was a specific cell surface marker for agranulocytes, which offered a tool for high-purity capture of agranulocytes from total haemocytes in C. gigas.

Prediction and Sensitivity Analysis of CO2 Capture by Amine Solvent Scrubbing Technique Based on BP Neural Network.

With the rapid development of artificial intelligence, bionic algorithm has been gradually applied in various fields, and neural network has become an important and hot issue in the field of scientific research and engineering in recent years. This article proposes a BP neural network model to predict the capture ability and sensitivity of CO2 in monoethanolamine (MEA) aqueous scrubbing technique from a 2 × 1,000 MW coal-fired power plant expansion project in eastern China. The predicted values agree well with the experimental data with a satisfactory mean square root error (MSRE) ranging from 0.001945 to 0.002372, when the change in the circulation amount of MEA and the accuracy of prediction results of the back propagation neural network (BPNN) algorithm is as high as 96.6%. The sensitivity analysis results suggested that the flue gas amount has a marginal effect on the system performance, while further attention should be paid to the MEA circulation amount, which is crucial to the CO2 capture amount. The temperature profiles show the typical behavior of the reactive absorption column where a temperature bulge can be seen at the bottom of the column due to the high L/G ratio of the experimental and prediction results. The coefficients of correlation R 2 with the change of MEA circulation amount, change of CO2 concentration, and steam consumption are 0.97722, 0.99801, and 0.98258, respectively. These results have demonstrated that the present study has established the BPNN algorithm as a consistent, reliable, and robust system identification tool for CO2 capture by the amine solvent scrubbing technique of operation in coal-fired power plants.

A Novel System to Improve Case Capture for Surgery Morbidity and Mortality Conference

IntroductionComplications are often under-reported at surgical morbidity and mortality (M&M) conferences due to the sole reliance on voluntary case submission. While most institutions have databases used for targeted initiatives in quality improvement, these are not routinely used for M&M. We aimed to increase case capture for M&M conferences by developing a novel system that augments the existing case submission system with cases representing complications from quality improvement databases and the electronic health record (EHR). MethodsWe developed and implemented a novel system for increasing the capture rate of complications for M&M conferences by developing custom software that combines data from the following sources: an existing voluntary case submission system for M&M, local quality databases–National Surgical Quality Improvement Program and Vizient, and an EHR-based case capture tool. We evaluated this system on a retrospective cohort of all postoperative complications at a single center in a 32-mo period and in a prospective cohort over a 4-mo period after system implementation. ResultsIn the retrospective cohort, we identified 433 complications among all data sources. Inclusion of the new system introduced 280 new potential cases for M&M review over the 32-mo period. After implementation, the system provided 31% of cases presented at M&M conference that would have otherwise been omitted. ConclusionsA novel system that includes complications identified in the EHR and quality improvement databases increased the case capture volume for surgical M&M conference, which provides an objective case referral system that can identify complementary quality improvement opportunities.