Résumé
BackgroundIn inflammatory arthritis patients, the concomitant decline of their mental wellbeing is an increasing concern[1,2]. It is important to not only describe the trajectory of psychological distress in early disease stages, but also understand which clinical outcome measures are most associated with these changes.ObjectivesUsing data from the National Early Inflammatory Arthritis Audit (NEIAA), we assessed trends in psychological wellbeing over 12 months after initial diagnosis and mapped these against clinical outcomes to identify significant associations.MethodsNEIAA collects data from patients referred with suspected early inflammatory arthritis in rheumatology services in England and Wales. We used data provided by 20,472 patients eligible for follow-up (diagnosis of inflammatory arthritis) between May 1st, 2018, and April 1st, 2022. Data items included baseline demographics e.g., age and gender, and clinical variables e.g., rheumatic disease comorbidity index (RDCI), DAS28, and patient reported outcomes.Psychological distress was measured by the sum score of Patient Health Questionnaire Anxiety and Depression Screener (PHQ4ADS). Using mixed effects regression models, we analysed the co-variability of PHQ4ADS with demographic factors and clinical outcomes over 12 months. Time was included as a dummy-coded covariant.ResultsThe analysis included 36% of patients (7,378 out of 20,472) who completed the baseline patient outcome survey. In this cohort, PHQ4ADS scores decreased from a baseline average of 4.7 (CI: [4.6, 4.8]) to 2.62 (CI: [2.5, 2.8]) at 12 months post-diagnosis. The proportion of patients screening positive decreased from 50.0% (CI: [48.9, 51.1]) at baseline to 23.8% (CI: [21.8, 25.9]) at 12 months.At baseline, psychological distress correlated significantly with age, gender, ethnicity, RDCI, prior depression diagnosis, and baseline DAS28 (Figure 1). No significant correlations were found between psychological distress and working diagnosis, seropositivity, or the assessment being recorded after the start of the COVID-19 pandemic. Younger ages were nonlinearly associated with higher distress levels (coefficient per decade: -0.006;p<0.001;CI: [-0.009, -0.003]) (Figure 1a). Distress levels in females were higher than that of males (coefficient: 0.5;p<0.001;CI: [0.4, 0.7]) (Figure 1b). White patients reported lower PHQ4ADS scores compared to non-white patients (coefficient: -0.7;p<0.001;CI: [-1.0, -0.4]) (Figure 1c). Higher distress levels were also associated with higher RDCI (coefficient: 0.2;p<0.001;CI: [0.1, 0.3]) and prior diagnosis of depression (coefficient: 1.8;p<0.001;CI: [1.5, 2.2]) (Figure 1d, 1e). Furthermore, higher baseline DAS28 scores correlated with more severe psychological distress (coefficient: 0.8;p<0.001;CI: [0.7, 0.8]) (Figure 1f).By 12-months, psychological distress decreased significantly overall, which correlated significantly with ethnicity (coefficient: 0.8;p=0.005;CI: [0.3, 1.4]) and baseline DAS28 (coefficient: -0.5;p<0.001;CI: [-0.6, -0.4]). Compared to white patients, the reduction was significantly greater for non-white patients, but the level of distress was no longer different at 12 months (Figure 1c). While those with higher baseline DAS28 showed a greater reduction in psychological distress, the distress levels remained higher at 12 months (Figure 1f).Figure 1.Changes in psychological distress correlated with age, gender, ethnicity, RDCI, prior depression diagnosis, and baseline DAS28.[Figure omitted. See PDF]ConclusionIn this early inflammatory arthritis cohort, mental health burden was high. Age, gender, ethnicity, RDCI, prior depression diagnosis and baseline DAS28 significantly correlated with psychological distress at baseline. Supporting mental health should be a focus of clinical care for this population and it may be beneficial to use an approach that is culturally valid for non-white patients and accounts for multimorbidity.References[1]Euesden, J, et al. Psychosomatic medicine 79.6 (2017): 638.[2]Lwin, MN, et al. Rheumatology and therapy 7.3 (2020): 457-471.AcknowledgementsThe authors would like to thank the Healthcare Quality Improvement Partnership (HQIP) as the commisioner of NEIAA, British Society for Rheumatology as the audit providers, Net Solving as the audit platform developers, and the Wellcome Trust (ST12406) for funding to support L.Z..Disclosure of InterestsLucy Zhao: None declared, James Galloway Speakers bureau: Has received honoraria from AbbVie Celgene, Chugai, Gillead, Janssen, Eli Lilly, Pfizer, Roche, and UCB, Jo Ledingham: None declared, Sarah Gallagher: None declared, Neena Garnavos: None declared, Paul Amlani-Hatcher: None declared, Nicky Wilson: None declared, Lewis Carpenter Consultant of: Statistical consultancy for Pfizer, Kirsty Bannister: None declared, Sam Norton Speakers bureau: Has received honoraria from Janssen and Pfizer.
Résumé
In 2021, the airline industry was affected by COVID-19, and many airlines suffered losses. The main reason for the loss were the decline in revenue and the surge in costs. Therefore, in terms of creating the competitive advantage of airlines, "price war" is no longer applicable, and improving service quality has become an effective means. Customer satisfaction is the most effective indicator to measure service quality. In this study, a satisfaction evaluation system is established based on structural equation model and customer satisfaction importance matrix. Then, a questionnaire is designed to analyze the influence of different factors on customer satisfaction. The research finds that brand image and perceived quality have a great impact on customer satisfaction. In addition, some suggestions for airlines to improve customer satisfaction are given. © 2023 SPIE.
Résumé
The outbreak of COVID-19 makes people feel distant from each other, and masks have become one of the indispensable articles in People's Daily life. At present, there are many brands of masks with various types and uneven quality. In order to understand the current market of masks and the sales of different brands, users can choose masks with perfect quality. This paper uses Python web crawler technology, based on the input of the word "mask", crawl JD website sales data, through data visualization technology drawing histogram, pie chart, the word cloud, etc., for goods compared with the relationship between price, average price of all brands, brands, average distribution of analysis and evaluation of user information, In this way, the sales situation, price distribution and quality evaluation of each store of the product can be visually displayed. At the same time, it also provides some reference for other users who need to buy the product. © The Authors. Published under a Creative Commons Attribution CC-BY 3.0 License.
Résumé
The United Nations Secretary-General Mechanism (UNSGM) for investigation of the alleged use of chemical and biological weapons is the only established international mechanism of this type under the UN. The UNGSM may launch an international investigation, relying on a roster of expert consultants, qualified experts, and analytical laboratories nominated by the member states. Under the framework of the UNSGM, we organized an external quality assurance exercise for nominated laboratories, named the Disease X Test, to improve the ability to discover and identify new pathogens that may cause possible epidemics and to determine their animal origin. The "what-if" scenario was to identify the etiological agent responsible for an outbreak that has tested negative for many known pathogens, including viruses and bacteria. Three microbes were added to the samples, Dabie bandavirus, Mammarenavirus, and Gemella spp., of which the last two have not been taxonomically named or published. The animal samples were from Rattus norvegicus, Marmota himalayana, New Zealand white rabbit, and the tick Haemaphysalis longicornis. Of the 11 international laboratories that participated in this activity, six accurately identified pathogen X as a new Mammarenavirus, and five correctly identified the animal origin as R. norvegicus. These results showed that many laboratories under the UNSGM have the capacity and ability to identify a new virus during a possible international investigation of a suspected biological event. The technical details are discussed in this report.Copyright © 2022
Résumé
Background & Aim: Gene therapies has become recognized for its remarkable clinical benefits in a variety of medical applications, in particular recent approval of an Ad vector-based COVID-19 vaccines have attracted recent global attention. Here, we present key considerations for GMP compliant process development for Coxsackie virus type B3 (CVB3), an oncolytic virus designed for clinical trial in triple-negative breast cancer. Methods, Results & Conclusion(s): CVB3 is a non-enveloped, linear single-strand RNA virus with a size of approximately 27-33 um in diameter. From the initial type using the zonal rotor centrifuge to the advanced type using the tangential flow filtration system and ion chromatograph, we considered the points of the design concept in constructing the manufacturing process. The final design system is constructed as a closed and single-use manufacturing system in which all processes from upstream large-scale cell culture to downstream target purification and concentration steps. In brief, HEK293 cell suspension extended in 3L serum-free medium infected with CVB3, up to 3.6 times 10 to 7 of TCID50 /mL before going to downstream steps, made total 150 mL of final products as 8.43 times 10 to 7 of TCID50/mL concentration. Although further quality control challenges remain that is removal of product-related impurities such as human cellular proteins and residual DNA/RNA to increase virus purity, this concept is effectively applicable even for other types of viruses as GMP manufacturing processes, and would be also important for technology transfer to future commercial production.Copyright © 2023 International Society for Cell & Gene Therapy
Résumé
BackgroundJanus kinase inhibitors drugs (JAKi) are novel small molecule medications known to cause abnormalities such as elevations in hepatic transaminases, decreases in neutrophil and lymphocyte counts and elevations in cholesterol and creatinine kinase. Blood monitoring is recommended and dose adjustments are advised if abnormalities arise. Recent warnings by the EMA and MHRA have highlighted the importance of monitoring these medications.Timely review and management of patients on JAKi drugs is difficult to maintain with increasing workload amongst the rheumatology team. A baseline audit (2020) demonstrated that hospital blood monitoring guidelines for JAKi drugs were not being followed. The rheumatology multidisciplinary team met and utilised Quality Improvement methodology including fish and driver diagrams to address this. This led to the creation of a pharmacist-led JAKi blood monitoring clinic.ObjectivesTo establish a pharmacist-led rheumatology blood monitoring clinic for the JAKi drug class in order to: increase patient safety with increased compliance to blood monitoring, save consultant/nurse time, improve communication with primary care on the frequency of blood testing required, increase patient understanding of the importance of blood monitoring with JAKi drugs, reinforce counselling advice such as risk of infections, shingles and thrombosis and promote medication adherence.MethodsThe clinic was established in March 2021. Patients commencing JAKi drugs are referred to the pharmacist-led clinic by the medical team. The pharmacist contacts the patient by phone following delivery of their medication. The patient is counselled on their new medication and dates for blood checks are agreed. A letter is sent to the patient and their GP providing this information. The patient is booked into virtual telephone appointments and bloods are monitored every month for the first 3 months and every 3 months thereafter. Any change or abnormality in blood results are flagged early in the patient's treatment and if necessary, discussed with the consultant. Adjustments are made to the patient's dose if appropriate.ResultsIn order to evaluate the benefit of the pharmacist clinic a re-audit of compliance with blood monitoring (March 2021- September 2022) was carried out alongside a patient satisfaction postal survey (August 2022).A total of 58 patients were sampled in the re-audit. The re-audit found an increase in compliance in blood monitoring since the introduction of the pharmacist clinic. 98% of patients had their full blood count performed at 3 months compared to 56% in audit 1 and 95% of patients had their lipid profile completed at 3 months compared to 15% in audit 1 (Table 1).A patient satisfaction survey (N=62, response rate 48%) found that 28 (93%) patients either agreed or strongly agreed that they were more aware of the importance of attending for regular blood monitoring when prescribed JAKi therapy as a result of the clinic.The pharmacy team made several significant interventions (self-graded Eadon grade 4 and 5). For example by improving medication adherence, detecting haematological abnormalities that required JAKi dose reduction, identifying patients suffering from infection requiring intervention including shingles and Covid-19.Table 1.Comparison of audit results pre (Audit 1) and post (Audit 2) clinic establishmentAudit 1 (N=48)Audit 2 (N=58)Number of patients with full blood count completed at weeks 4, 8 & 1227 (56%)57 (98%)Number of patients with lipid profile completed at week 127 (15%)55 (95%)Number of patients LFTs completed at weeks 4, 8 & 1226 (54%)54 (93%)ConclusionIntroduction of the pharmacist-led clinic has increased patient safety by ensuring compliance with blood monitoring as per hospital guidelines. The clinic has paved the way for improved communication with primary care teams and has provided patients with extra support during their first months on treatment with their JAKi. It has also expanded the role of the rheumatology pharmacy team and saved nursing and medical time.Acknowled ementsI wish to thank the SHSCT Rheumatology team for all their help, support and guidance with this project.Disclosure of InterestsNone Declared.
Résumé
Objectives: To systematically review longitudinal studies to determine the prevalence and time-course of fatigue after stroke (post-stroke fatigue, PSF). Material(s) and Method(s): A study protocol was registered on PROSPERO. Five databases (PUBMED, MEDLINE, EMBASE, PSYCHINFO and CINAHL) were searched (10th to 13th June 2022). Citations were imported into Covidence software, s screened by one author, full texts of potentially eligible studies retrieved, and one author applied inclusion criteria (longitudinal cohort studies of patients with acute stroke). Quality assessment of included studies was performed using the Joanna Briggs institute tool for observational studies. A meta-analysis was performed for the prevalence of PSF at different time-points after stroke onset, and changes over time. Subgroup analyses were performed by type of stroke and study location. Result(s): A total of 13,991 records were returned from the searches. Nine studies were eligible and were included. Five studies were of strong and four of moderate quality. Of the studies suitable for meta-analysis, the prevalence of PSF was 42% (95% CI - 39-44%) at six months after ischaemic stroke;and 34% (95% CI - 28-40%) at one year in stroke survivors excluding subarachnoid haemorrhage. Subgroups analyses found no differences in PSF prevalence between Asian countries and others. Of those with PSF at first assessment, 66% (95% CI - 61-71%) remained fatigued at follow-up;of those without PSF initially, 15% (95% CI - 11-20%) developed PSF at follow-up. Conclusion(s): PSF is common and around two-thirds with fatigue remain fatigued. This justifies the development of new interventions for PSF treatment.Copyright © 2023 The Author(s)
Résumé
Objectives: The public's stated preference for public health and social measures (PHSMs), and levels of pandemic fatigue are insufficiently fixed. We aim to quantify the public's preferences for varied PHSMs, and measure population's pandemic fatigue. Method(s): We conducted a cross-sectional, nationwide sampling, survey-based experiment to assess public preference for and attitudes towards PHSMs. A set of psychometric scales, specifically, the COVID-19 pandemic fatigue scale (CPFS), was used to screen fatigue levels in the respondents. The multinomial logit model (MNL) and latent class model (LCM) were utilized for choice tasks analysis, and Mann-Whitney tests were used for CPFS statistical analysis. Result(s): There were 689 respondents, who completed the survey, and were included in the study after quality control. The discrete choice experiments revealed that respondents attached the greatest importance to the risk of COVID-19 infection within three months (45.53%), followed by loss of income within three months (30.69%). Vulnerable populations (lower-income and older respondents) are more sensitive to the risk of infection, and younger respondents are more sensitive to income loss and prefer non-suspension of socialization and transportation. Migrants, and respondents with a higher level of fatigue, have less acceptance of the mandatory booster vaccination and suspension of transportation. Additionally, a higher fatigue level was observed in females, younger respondents, migrants, and relatively lower-income respondents. Conclusion(s): Fatigue and fear of COVID-19 infection contributed to the public's mental health problem. Hence, at the late-stage pandemic, policymakers should consider reducing people's mental burden via relieving people's fear of infection when PHSMs are being relaxed. And this also provides insights for the outbreaks' PHSMs implementation in the future.Copyright © 2023
Résumé
There is a growing concern about Indoor Environmental Quality (IEQ) in buildings as humans are spending longer in indoor environments, whether this is associated or not with climate change and vulnerability to extreme weather events. In the wake of the COVID pandemic, the need for indoor air quality control is likely to increase, the result of many adaptations in home environments to switch to remote work. In hot countries in the Global South, one of the alternatives is split A/C units with limited air renewal. While, odorless and colorless CO2, commonly generated by occupants through respiration, is among the relevant indoor air pollutants. The purpose of this study is to evaluate a low-cost, responsive air-renewal system in a climate chamber equipped with a standard split A/C unit. The results show the system's feasibility in curbing IAQ concerns and also highlight the risk of negative impacts on indoor thermal conditions and on energy consumption on using A/C. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Résumé
The COVID-19 pandemic limits public social activities due to the virus spreading in overcrowded areas. It becomes a challenge for Public Accounting Firms to provide quality financial statement audit services to auditees. Therefore, this study aimed to analyze the influence of auditors' competence as well as audit fee and quality control on audit quality during the COVID-19 pandemic. Data were collected through a survey filled by 100 auditors at Public Accounting Firms (KAP) in Indonesia. The survey was distributed through Google Forms for two months in 2021. The data were processed and analyzed using the Partial Least Square (PLS) method with Smart PLS 3 software. The results indicated that auditors' competence and audit quality control positively affect audit quality. Meanwhile, the audit fee does not significantly affect audit quality. This study implies that Public Accounting Firms should optimize employees' soft skills in recruitment and training activities. Additionally, the firms are expected to improve supervision and increase the auditors' work commitment to strengthen audit engagement quality. © 2023 SCMS Group of Educational Institutions. All rights reserved.
Résumé
Background: The outbreak of the COVID-19 pandemic, the constant transformation of the SARS-COV-2 virus form, exposure to substantial psychosocial stress, environmental change, and isolation have led to the inference that the overall population's mental health could be affected, resulting in an increase in cases of psychosis. Objective(s): We initiated a systematic review to determine the impact of the SARS-COV-2 virus and its long-term effects-in both symptomatic and asymptomatic cases-on people with or without psychosis. We envisioned that this would give us an insight into effective clinical intervention methods for patients with psychosis during and after the pandemic. Method(s): We selected fifteen papers that met our inclusion criteria, i.e., those that considered participants with or without psychiatric illness and exposed to SARS-COV-2 infection, for this review and were retrieved via Google, Google Scholar, MEDLINE, PubMed, and PsychINFO Database. Key Gap: There is a dearth of research in understanding how COVID-19 affects people with or without a prior personal history of psychosis. Result(s): The systematic review summary provides insight into the state of knowledge. Insights from the systematic review have also been reviewed from the salutogenesis model's perspec-tive. There is moderate evidence of new-onset psychosis during the COVID-19 pandemic in which some antipsychotics treated the psychotic symptoms of patients while treating for COVID-19. Suggestions and recommendations are made for preventive and promotive public health strategies. Conclusion(s): The Salutogenesis model and Positive Psychology Interventions (PPI) provide another preventive and promotive public health management approach.Copyright © 2023 Bentham Science Publishers.
Résumé
FDA also explained that system designs and controls should allow for detecting errors, omissions, and unusual results-outcomes that cannot be easily identified with paper-based processes. Because the guidance requirements for record retention and review don't differ between paper or electronic, this update supports the shift to a digital model. Using paper to check and mark things off is a normal practice in life sciences, even if it is not a very good process for error detection, data collection, or metrics, says Bryony Borneo, quality assurance director at global contract research organization (CRO) Emmes. Building a solid data foundation and gaining more experience with remote ways of working are driving positive change and making it easier for quality teams to remain compliant with regulations. According to Sanjeev Kumar, senior director, data integrity and technology at Vertex Pharmaceuticals, there is greater awareness of data standardization to identify developing trends and insights from information.
Résumé
The additional impact of emission-reduction measures in North China (NC) during autumn and winter on the air quality of downwind regions is an interesting but less addressed topic. The mass concentrations of routine air pollutants, the chemical compositions, and sources of fine particles (PM2.5) for January 2018, 2019, and 2020 at a megacity of Central China were identified, and meteorology-isolated by a machine-learning technique. Their variations were classified according to air mass direction. An unexpectedly sharp increase in emission-related PM2.5 by 22.7% (18.0 mug m-3) and 25.7% (19.4 mug m-3) for air masses from local and NC in 2019 was observed compared to those of 2018. Organic materials exhibited the highest increase in PM2.5 compositions by 6.90 mug m-3 and 6.23 mug m-3 for the air masses from local and NC. PM2.5 source contributions related to emission showed an upsurge from 1.39 mug m-3 (biomass burning) to 24.9 mug m-3 (secondary inorganic aerosol) in 2019 except for industrial processes, while all reduced in 2020. From 2018 to 2020, the emission-related contribution of coal combustion to PM2.5 increased from 10.0% to 19.0% for air masses from the local area. To support the priority natural gas quotas in northern China, additional coal in cities of southern China was consumed, raising related emissions from transportation activities and road dust in urban regions, as well as additional biofuel consumption in suburban or rural regions. All these activities could explain the increased primary PM2.5 and related precursor NO2. This study gave substantial evidence of air pollution control measures impacting the downwind regions and promote the necessity of air pollution joint control across the administration.Copyright © 2023 Elsevier Ltd
Résumé
BackgroundSheffield Teaching Hospitals (STH), UK, has a specialised axial spondyloarthropathy (axSpa) clinic run by a rheumatology consultant and physiotherapist with special interest in this area. BASDAI and BASFI patient reported outcome measures are used to assess disease activity and response to treatment, in line with national guidelines. STH has invested in MyPathway (MP), an electronic patient messaging system used for patient information, appointments and electronic patient reported outcome measures (ePROMs). The data can also be viewed at a system level on a clinician dashboard. Prior to 2020 the uptake of ePROMs was low in the axSpa clinic. The move primarily to telephone consultations in March 2020, due to the COVID-19 pandemic, created an opportunity for increasing the use of MP for ePROMs collection to enable improved remote monitoring of patients with axSpa.ObjectivesThis quality improvement project aimed to increase the use of electronic BASDAI and BASFI (ePROMs) in the axSpa clinic.MethodsA multi-pronged approach has been taken since March 2020 to increase ePROMs completion and improve their use. Each appointment was used as an opportunity to discuss and recruit patients to MP. Clinicians invited each patient to join MP and sent them a link after their appointment. QR codes were then added to all rheumatology patient letters encouraging patients to register. A pathway was set up that automatically sent a prompt to patients registered on MP to complete their BASDAI and BASFI questionnaires prior to clinic appointments. Clinicians began logging into MP to view scores during appointments to provide patients with real-time feedback.A mixed methods approach was used to assess the uptake of ePROMs over time. We tracked MP registration rates and BASDAI completion rates as the key outcome measures, using a run chart to assess special cause variation. We undertook a patient focus group to explore attitudes towards ePROMs, key barriers and opportunities for further improvement.ResultsThe total number of axSpa patients seen in the specialised clinic (named LADAS) who have registered with MP has increased from 56 (35.9%) in January 2019 to 200 (58.9%) in September 2022. There has been an improvement in the BASDAI completion rate, with 80% of patients completing more than one BASDAI in 2022, compared to 24% in 2019, as illustrated on a run chart (Figure 1). Patients can complete BASDAI forms sent to them in a previous month, therefore the completion rate some months exceeds 100%.In a dedicated focus group, patients reported that ePROMs were generally more convenient, and provided a useful record to refer back to. This could be further improved by development of a graph function to view scores over-time and the ability for patients to complete a questionnaire between appointments when they feel their disease is more active. A key theme for improving the use of ePROMs was the need for more discussion about their utility and around individual patient's scores. There is concern that the BASDAI and BASFI scores are arbitrary and lack nuance, and that the importance of these scores at an individual patient level is not clear. This may be rectified by more discussion with clinicians in appointments, to add meaning to these scores. There was also concern that sleep and other generic health measures are not covered in the BASDAI or BASFI. The EQ-5D, a generic questionnaire, is also sent to axSpa patients, but there seems to be a lack of patient awareness regarding it. There is an appetite to improve and standardise the amount of patient information accessible on MP, for example disease information and links to patient support groups.ConclusionThere has been a clear improvement in the completion of ePROMs in the dedicated axSpa clinic at STH, over the last three years. Patient feedback has highlighted key areas for further improvement to maximise the potential of ePROMs, including more discussion around PROM scores to increase understanding and add individual patient meaning and nuance.Figure 1.AcknowledgementsI have no acknowledgements to declare.Disclosure of InterestsJudith Jade: None declared, Zoe Cox: None declared, Emily Fox: None declared, Rachel Tattersall Speakers bureau: honoraria as speaker for Abbvie, Lisa Dunkley Speakers bureau: honoraria as speaker/ teaching for UCB/ Abbvie/ Pfizer.
Résumé
Donated human milk is the best substitute for breast milk in the case when the mother cannot feed her baby. Human milk banks provide safe and high quality donated human milk. That was the reason why the Human Milk Bank was established in the Croatian Tissue and Cell Bank at the Zagreb University Hospital Centre in January 2020. The Bank works in accordance with the Law on the Application of Human Tissues and Cells. In this paper, we present the results of the Bank work since from its opening until June 2020. Due to logistic reasons caused by the COVID-19 epidemic and the earthquake in Zagreb, the Human Milk Bank did not collect milk for 43 days. Milk was donated by 31 mothers. Their median age was 31 years and 81% of them had high education level. In 52% of cases, mothers started donating milk three months after giving birth. Most donors donated milk only once (45%). The median period of donation was 46 days. The majority (52%) of donors gave birth for the first time, in the expected term of childbirth (94%), birth weight was >2500 g. Only three of donors' children (9%) were in intensive care. A total of 175.5 L of milk were collected (mean 5.7 L per donor), of which 151.5 L met the requirements of input quality control, and 141 L were pasteurized. A critical number of viable aerobic and facultative bacteria were identified in 32.6% of milk pools prepared for pasteurization, and 8.9% after pasteurization. For clinical use, 78.7 L were dispensed in three neonatal intensive care units. The Human Milk Bank has already shown the importance of its activities during the first months of operation. In order to be able to meet the needs for donated human milk at the national level, it is necessary to constantly inform mothers about the importance of human milk and to promote its donation.Copyright © 2020 Croatian Paediatric Society. All rights reserved.
Résumé
Immune Plasma algorithm (IP algorithm or IPA) that models the implementation details of a medical method popularized with the COVID-19 pandemic again known as the immune or convalescent plasma has been introduced recently and used successfully for solving different engineering optimization problems. In this study, incremental donor (ID) approach was first developed for controlling how many donor individuals will be chosen before the treatment of receivers representing the poor solutions of the population and then a promising IPA variant called ID-IPA was developed as a new path planner. For analyzing the contribution of the ID approach on the solving capabilities of the IPA, a set of experimental studies was carried out and results of the ID-IPA were compared with different well-known meta-heuristic algorithms. Comparative studies showed that controlling the incrementation of donor individuals as described in the ID approach increases the qualities of the final solutions and improves the stability of the IP algorithm. © 2022 IEEE.
Résumé
Air pollution is one of the most significant concerns of the present era, which has severe and alarming effects on human health and the environment, thereby escalating the climate change issue. Hence, in-depth analysis of air pollution data and accurate air quality forecasting is crucial in controlling the growing pollution levels. It also aids in designing appropriate policies to prevent exposure to toxic pollutants and taking necessary precautionary measures. Air quality in Delhi, the capital of India, is inferior compared to other major cities in the world. In this study, daily and hourly concentrations of air pollutants in the Delhi region were collected and analyzed using various methods. A comparative analysis is performed based on months, seasons, and the topography of different stations. The effect of the Covid-19 lockdown on the reduction of pollutant levels is also studied. A correlation analysis is performed on the available data to show the relationships and dependencies among different pollutants, their relationship with weather parameters, and the correlations between the stations. Various machine learning models were used for air quality forecasting, like Linear Regression, Vector Auto Regression, Gradient Boosting Machine, Random Forest, and Decision Tree Regression. The performance of these models was compared using RMSE, MAE, and MAPE metrics. This study is focused on the dire state of air pollution in Delhi, the primary reasons behind it, and the efficacy of calculated lockdowns in bringing down pollution levels. It also highlights the potential of Linear Regression and Decision Tree Regression models in predicting the air quality for different time intervals. © 2022 IEEE.
Résumé
The college entrance examination is vital for program admission. Typically, entrance examinations are conducted onsite using paper and pens. When the COVID-19 pandemic hit, the entrance examination was lifted and physical gatherings were prohibited. Since many schools cannot offer an online admissions exam, they rely on grades and interviews to admit and qualify students for degree programs. However, academic standards differ between schools, and grades may not be enough to assess students' capacity. Thus, this study aims to develop an Online Proctored Entrance Examination System (OPEES) with Degree Program Recommender for colleges and universities to help institutions administer onsite or online entrance tests and generate course suggestions using a rulebased algorithm. The study employed the scrum methodology in software development. OPEES allows applicants to submit applications online, and institutions can manage user accounts, tailor exams and degree programs' criteria, manage exam dates, and assign proctors. Online proctoring using Jitsi, an opensource multiplatform voice, video, and instant messaging tool with end-to-end encryption, ensures exam integrity. The system's features were evaluated by 102 respondents, comprised of end-users (students and school personnel) and IT professionals, using the FURPS (Functionality, Usability, Reliability, Performance, and Supportability) software quality model. In the software evaluation, the overall system proved to be functional as perceived by the respondents, as manifested by the mean rating of 4.61. In conclusion, the system's architecture was deemed feasible and offers a better way to streamline admission examinations and determine a student's applicable degree program by enabling institutions to customize their exams and degree program requirements. It will be beneficial to look into recommendation system algorithms and historical enrollment data to improve the system's use case. © 2022 IEEE.
Résumé
Background & Aim: During the COVID-19 pandemic, we performed HPC-A cryopreservation process validation using the CryoStor CS10 freeze media to replace the current 10% DMSO cryoprotectant (Control), which encountered severe backorder. Methods, Results & Conclusion(s): This process validation included phase I, phase II, and follow-up studies. Ten HPC-A collection cell product samples were cryopreserved in the phase I study using CS10 and Control (1:1) post-plasma depletion. Post-thaw viability tests using the 7-AAD method were performed on the cryopreserved samples for parallel comparison. In phase II, each of three patient HPC-A cell products was split evenly into CS10 and Control cryopreservation. The CS10 cryopreserved HPC-A cell products only were used for infusion. The recipients' engraftment outcomes of white blood cells (WBC), granulocytes (ANC), and platelets (Plts) were monitored. Post-thaw viability test was performed on the quality control samples from both groups. In the follow-up study, engraftment outcomes of WBC, ANC, and Plts were evaluated from ten recipients who received the CS10 cryopreserved HPC-A. In the phase I study, the post-thaw viability of the CS10 group was significantly higher than the Control group (p=0.002). All post-thaw viability results were above 60%, the current lab release criteria. In the phase II study, all cryopreserved cell products met cell product release criteria (> 60%). All engraftment results were within our center-established ranges except for the Pt b's platelet engraftment. Three recipients had not had any cell product infusion-related adverse events post infusion. Both CD34 and CD45 post-thaw viability results in the CS10 group were remarkably higher than the Control group, except for the patient c's CD34 viability. In the follow-up study, the total infused cell product volume ranged from 60 ml to 118 ml, and the WBC concentration in the cryopreserved cell products ranged from 134 to 440 (x10
Résumé
MNLTour is a virtual tour system for selected tourist spots situated within the city of Manila. It utilizes 360-degree images, 2D images, voice recordings, and virtual reality technology to offer an immersive user experience of the virtual environment. The virtual tour system was developed using the Unity3D software and was then integrated into web and mobile applications accessible through web browsers and android smartphones, respectively. MNLTour aims to promote the wonders of Manila city by showcasing some of its historical tourist spots that have been severely affected by the outbreak of the COVID-19 pandemic. The developed web and mobile applications were tested and later evaluated to assess the overall quality of the software in accordance with ISO 9126 standard. The evaluation statements primarily focus on the aspects of functionality, efficiency, usability, effectiveness, and user satisfaction in using the application. Descriptive statistics was used to analyze and summarize the data gathered from the evaluation respondents. The evaluation of the application in both platforms turned out to have admirable evaluation results;hence, it's safe to say that the developed software has an acceptable overall quality. © 2022 IEEE.