Variations in land surface temperatures in small-scale urban areas in Vietnam during Covid-19 restrictions: Case studies from Da Nang, Hue and Vinh City.

Land surface temperature (LST) is an important variable in urban microclimate research. At the end of 2019, the emergence of Covid-19 pandemic has changed the world in a manner that forced many countries to impose restrictions in human activities. As a measure to prevent the expansion of Covid-19 infections, most of the major cities have entered a prolonged lockdown period and reduction in human activities between the early 2020 and the late 2021. These restrictions were strict in most of the cities in Southeast Asia, particularly in Vietnam. The present study investigated the variations in LST and NDVI observed in three rapidly growing urban areas, namely Da Nang, Hue and Vinh, in Vietnam using Landsat-8 imagery acquired between 2017 and 2022. There has been a slight reduction in LST in the study sites, particularly in Da Nang City, during the lockdown period but not as high as observed in recently conducted studies from big metropolitan cities, including in Vietnam. It is also observed that LST estimated from built-up areas and other impervious surfaces remained relatively stable during the study period which is similar to the results from recent studies.

Cost Evaluation of COVID-19 Remote Home Monitoring Services' Patients in England during Wave 2 from October 2020-April 2021

Objectives: During the COVID-19 pandemic, the NHS delivered a community-based remote home monitoring service for COVID-19 patients. The service came in two models characterised based on the referral method: home-based care to ensure the right people were admitted at hospital at the right time (named COVID Oximetry @ home (CO@h)) and facilitation of patients' transition when discharged home (named Covid-19 Virtual Ward (CVW)). Patients were provided with pulse oximeters and asked to regularly record and submit oxygen levels and other symptoms to a team of administrators and clinicians via digital means (tech-enable and analogue mode) and/or over the phone (analogue). Our aim was to evaluate the costs of implementing these services in England during wave 2 of the pandemic (October 2020-April 2021). Method(s): We used a top-down approach to describe the costs of setting-up and running the service. 26 sites reported the number of patients and staff members involved in the service, and other used resources. Descriptive statistics and multivariate regression analysis were used appropriately. Result(s): The mean cost per patient monitored was lower in the CO@h service compared to the CVW (527.5 vs. 599.1). The corresponding cost was lower for sites using tech-enabled and analogue data submission mode compared to sites using analogue-only mode for both CO@h (515 vs. 561) and CVW (584 vs. 612) services. The number of patients enrolled in the service and the service type significantly affected the mean cost per patient (b=0.62, p= 0.001;b=-457.99, p=0.05 correspondingly). Conclusion(s): Our analysis offers a model for future research since it covers sites of various sizes and raises questions about different practices within the overall remote monitoring services.Copyright © 2023

Managing diabetes remotely: Evaluation of the uptake and efficacy of the DBm app

Objectives: Insulin optimisation requires review of glucose monitoring;Covid-19 posed challenges to this. We evaluated DBm -a remote monitoring platform utilising a glucometer and smartphone app. Method(s): Evaluation was from January to November 2021. Inclusion criteria was insulin treated diabetes with HbA1c greater than 68mmol/mol. HbA1c, demographics, frequency of CBG uploads and interactions with clinicians were collected. Result(s): 97 patients were offered DBm. 48.5% used the app. There were no statistically significant differences in gender (p = 0.05), age (p = 0.36), type of diabetes (p = 0.13) or deprivation index (p = 0.96) between users and non-users. Patients of white ethnicity were less likely to use the platform (p = 0.01). Amongst users, 70% had a reduction of HbA1c of at least 5mmol/mol over six months, with a mean reduction of 25.6mmol/mol (p = 0.01). There was no difference in age (p = 0.64), gender (p = 0.4), and type of diabetes (p = 0.23) between responders and non-responders. There was also no difference in number of call back requests generated by patients (p = 0.32) or number of CBG uploads (p = 0.899) between responders and non-responders. Conclusion(s): Uptake of the remote monitoring solution was just under 50%, with no evidence of digital exclusion, although the finding that white ethnicity patients were less likely to use the system needs further exploration. Most users had improved glucose control, but there was no association with numbers of tests or call back requests. This study demonstrates that insulin optimisation can effectively be delivered using a remote glucose monitoring system. Future work will explore patient experience and patient satisfaction.

Study on Dynamic Change of Land Usage in Hongta District Based on Sentinel-2

This work utilizes Sentinel-2A L1C remote sensing photographs from the years 2018, 2020, and 2022 to identify the different land use categories in the study area using the support vector machine (SVM) technique. The accuracy of categorization is greater than 90%. This research explores four factors of the dynamic change in land use in Hongta District from 2018 to 2022: the proportion of various types of land;the extent of something like the changing land usage;land use transfer;and the dynamic degree of the change in land use. According to the study's results, the proportion of cultivated and grassland land grew, while the quantity of barren and construction land fell by 1.90 percent, 0.03 percent, and 0.69 percent, respectively. The water system land portion of total area increased by 2.58 percent and 0.13 percent, respectively. After comparing the two research periods, the entire dynamic degree of the second stage is determined to be 3.5 percent lower than that of the first stage, and the pace of land use change is quite sluggish, which may be associated with the worldwide COVID-19 outbreak in 2020. The outcomes of the research may give the natural resources department the knowledge it needs to manage land resources properly. © 2023 SPIE.

You & type 2 @ home: Testing a fully remote model for diabetes annual reviews using the you & type 2 personalised care and support planning pathway in combination with remote monitoring technologies at two primary care practices in South London

Aims: A proof-of- concept pilot investigating the profile of person who engaged with remote testing for their annual diabetes review, and service user (SU) and primary care practice acceptability for completing annual diabetes review tests remotely (blood pressure, finger-stick blood test and urine test). Method(s): A mixed methods evaluation based on SU surveys sent to all 144 pilot participants, semi-structured SU and staff interviews, and demographic and clinical data extraction from primary care electronic patient record system. Result(s): Profile: The pathway was considered suitable for people who were working, digitally capable, younger, had household support to complete the tests, had non-complex diabetes, or a combination of these attributes. It was deemed less suitable for the very elderly, the less digitally capable, those with complex health needs or socially isolated. SU Acceptability: Interviewees and survey respondents overall deemed the remote tests acceptable for use. Convenience and reduced exposure to Covid-19 were motivating factors for participation. Preference for face-to- face care or concerns around using digital technologies were key reasons for decline. Staff Acceptability: The pathway was deemed acceptable and was successfully implemented at both practices. Support from a designated pathway co-ordinator and project manager were key factors linked to acceptability and success. The remote pathway was seen as an opportunity to reduce primary care pressures on in-person care. Conclusion(s): It is possible to successfully conduct annual diabetes reviews remotely. Although not appropriate nor desirable to everyone, remote testing provides a viable alternative to in-person testing for certain individuals.

A Brief Statistical and Geostatistical Survey of the Relationship between COVID-19 and By-Mail Balloting in the 2020 North Carolina General Election

Adding to the already polarizing 2020 general election was the COVID-19 pandemic. One way in which this pandemic greatly affected the election was through an increased participation in by-mail, or mail-in, ballots. The state of North Carolina experienced a 316 percent increase in by-mail votes between 2016 and 2020, when approximately 977,186 votes were cast by mail. It is no surprise that this increase was due to the COVID-19 pandemic;however, these by-mail voting patterns are spatial in nature and vary across the state. This research measures to what degree COVID-19 rates affected by-mail voting rates. Using geographic information systems data developed from robust tabular files provided by the North Carolina State Board of Elections, by-mail votes were calculated and mapped at ZIP code scale and compared to COVID-19 rates measured at different dates. By-mail rates taken from final absentee tallies for the highest and lowest COVID-19 ZIP codes saw no significant differences across multiple dates (30 September 2020 and 31 October 2020) when COVID-19 data were collected. COVID-19 hot spots (high COVID-19 rates surrounded by other high COVID-19 rates) were extracted using geostatistical techniques and compared to COVID-19 cold spots (low COVID-19 rates surrounded by other low COVID-19 rates). It was found the lowest by-mail rates actually occurred in these COVID-19 hot spots across both dates, as well a metric that expressed percentage change in COVID-19 rates in the month before the 2020 election.Alternate :COVID-19使得已经两极分化的2020年美国大选, 变得更加雪上加霜。COVID-19影响选举的一种方式是邮寄选票的增加。2016年至2020年, 北卡罗来纳州的邮寄选票增加了316%, 共约977,186张。毫无疑问, COVID-19导致了邮寄选票的增加。然而, 邮寄选票在本质上是空间性的, 并且在北卡罗来纳州的各个地方具有差异性。本研究计算了COVID-19发病率对邮寄选票比例的影响程度。利用北卡罗来纳州选举委员会提供的准确的表格文件, 本文制作了地理信息系统数据, 在邮政编码尺度上对邮寄选票进行计算和制图, 并将这些邮寄选票与不同时间的COVID-19发病率进行了比较。在拥有最高和最低COVID-19发病率的邮政编码和不同时间（2020年9月30日和2020年10月31日）, 从缺失人数统计中得到的邮寄选票比例没有显著差异。利用地学统计方法提取COVID-19热点（COVID-19高发病率在空间上被其它高发病率所包围）, 并与COVID-19冷点（COVID-19低发病率在空间上被其它低发病率所包围）进行比较。结果发现, 在这两个时间内, 最低邮寄选票比例出现在COVID-19热点地区。本文还制定了一个指标, 可以表示2020年大选前一个月的COVID-19发病率百分比的变化。

Association between measured air pollution levels in the troposphere and surface air with COVID-19 hospitalization in Tomsk, Russia, 2022

The results of a preliminary analysis of the relationship between the short-term impact of air pollution exposure on hospitalizations associated with COVID-19 in Tomsk, Russia are presented. The statistical data on air pollution and COVID-19 associated hospitalization were collected and analyzed for the period from March 16, 2022 to April 14, 2022. This period corresponds to a flat plateau of confirmed COVID-19 cases after the main pandemic wave in 2022 in Tomsk and the Tomsk region which were associated with omicron strain of SARS-CoV-2. It was found that all representative peaks in a graph of daily hospitalizations coincide with the peaks in graphs of measured levels of air pollution. The increase in hospitalizations occurred on the same days when air pollution levels increased, or with a slight lag of 1-2 days. This allows us to tentatively conclude that air pollution has a quick effect on infected persons and may provoke an increase in symptoms and severity of the disease. Further detailed research is required. © 2022 SPIE.

Spatio-Temporal Evolution and Driving Factors of "Non-Grain Production” in Hubei Province Based on a Non-Grain Index

Non-grain production (NGP) on cultivated land has become a common phenomenon due to the prosperity of the rural economy and the optimisation of the agricultural structure. However, the excessive use of cultivating land for NGP has threatened food production and the sustainable use of cultivated land. To halt this trend and to ensure food security, the authors of this paper applied a novel non-grain index to measure NGP, which could reflect multiple NGP activities;designated Hubei Province as its object of research;and revealed NGP's spatio-temporal patterns of the past 30 years. We then assessed the characteristics of NGP based on spatial autocorrelation analysis, the Theil index, and geographically weighted regression. The results showed that the value of the non-grain index grew from 0.497 to 1.113 as NGP increased significantly in Hubei Province. The number of high-NGP counties increased, spatial agglomeration became obvious, and the eastern and western sides of Hubei Province witnessed an observable growth in NGP. As a result, the NGP in the eastern and western regions overtook production in the central region. Despite a series of historical subsidy policies and agricultural modernisation initiatives that promoted the planting of grain crops, the policy of "grain on valuable cultivated land” could be better implemented. We conclude by making some suggestions for reducing NGP and protecting cultivated land.

Spatial Analysis of Haikou Third-level First-class Hospitals Based on Geographic Information System

Nowadays, spatial geographic data analysis and GIS related software are more and more applied to the planning of urban public facilities. Under the COVID-19, people pay more attention to the protection of medical facilities for people's health, and a reasonable distribution of hospital facilities is conducive to people's health. Taking Haikou City as an example, this research will optimize the location of hospital space layout according to the existing third-level first-class general hospitals in Haikou City by using GIS software, road analysis, spatial analysis, and other methods. The results show that the existing hospitals in Haikou are too concentrated in the central urban area, the overall distribution of medical facilities is lack of balance, and there is a serious lack of medical facilities in new urban development areas and suburbs. According to the comparison between population density analysis and traffic analysis and the service scope of existing hospitals, the author finds out the scope of hospitals that need to be supplemented, and then calculates the scope of service area after taking several random points within the scope, and finally finds the one with the largest service scope is the optimal location. The results obtained by optimizing the site selection can provide a scientific reference for the rational layout of medical facilities in Haikou City in the future. © 2023 SPIE.

Geographic Information Systems for Facilitating Audits of the Urban Built Environment

Data collection and large-scale urban audits are challenging and can be time consuming processes. Geographic information systems can extract and combine relevant data that can be used as input to calculation tools that provide results and quantify indicators with sufficient spatial analysis to facilitate the local decision-making process for building renovations and sustainability assessment. This work presents an open-access tool that offers an automated process that can be used to audit an urban area in order to extract relevant information about the characteristics of the built environment, analyze the building characteristics to evaluate energy performance, assess the potential for the installation of photovoltaics on available building rooftops, and quantify ground permeability. A case study is also presented to demonstrate data collection and processing for an urban city block, and the relevant results are elaborated upon. The method is easily replicable and is based on open data and non-commercial tools.

Preface

The title of the ConferenceXXII Conference of PhD Students and Young Scientists "Interdisciplinary topics in mining and geology”The location and the date of the conferencevirtual event – online conference, June 29th to July 1st, 2022 in Wrocław, PolandXXIInd Conference of PhD Students and Young Scientists "Interdisciplinary topics in mining and geology” continues a series of events that started in 2000 at Wrocław University of Science and Technology. Scientific programme of the Conference focuses on four thematic panels:1. Mining Engineering: sustainable development, digitalisation in mining, problems of securing, protecting and using remnants of old mining works, underground mining, opencast mining, mineral processing, waste management, mining machinery, mine transport, economics in mining, mining aeronautics, ventilation and air conditioning in mines,2. Earth and Space Sciences: geology, hydrogeology, environmental protection, extraterrestrial resources, groundwater and medicinal waters, engineering and environmental protection, geotourism,3. Geoengineering: environmental protection, applied geotechnics, rock and soil mechanics, geohazards,4. Geoinformation: mining geodesy, GIS, photogrammetry and remote sensing, geodata modeling and analysis.The XXII Conference of PhD Students and Young Scientists was held as a virtual event, that is as a virtual, online conference in real-time. The reason why the Organizing Committee decided to change the traditional formula of the event to online formula was related to the concern for the health of the participants due to the COVID-19 epidemic.The XXII Conference of PhD Students and Young Scientists took place from June 29th to July 1st, 2022 in Wroclaw, Poland. That is the organizers worked and managed the event from the Wrocław University of Science and Technology Geocentre building. Because the conference focused on four thematic panels, four different special opening lectures were delivered by wellknown scientists- Professor Jan Zalasiewicz (University of Leicester, England)- Associate Professor Artur Krawczyk (AGH University of Science and Technology, Poland)- Professor Biljana Kovacević-Zelić (University of Zagreb, Croatia)- Assistant Professor Eduard Kan (Tashkent Institute of Irrigation and Agricultural Mechanizations Engineers, Uzbekistan).The Conference was divided into 8 oral sessions (with 33 presentations) and 1 poster session (with 33 posters). The amount of time provided to one presentation was 15 minutes, after presentation there was 5 minutes available for discussion. The poster session was available throughout the event, and the posters were available for online viewing on the Conference's website with the possibility of make discussion and ask questions in real time via zoom meeting application as well. Every day of the Conference one "virtual coffee break” was devoted for discussion between participants and question and answer session for the Organizers.There were 96 registered participants from 13 countries. The online XXII Conference of PhD Students and Young Scientists was conducted using the Zoom meeting platform with commemorative screen shots taken. By tradition two competitions, for the best oral presentation and for the best poster were held. The award for the best oral presentation was given ex aequo to Julia Tiganj (TH Georg Agricola University of Applied Sciences, Germany) for the presentation entitled Post-mining goes international: hurdles to climate neutrality using the example of China and Oksana Khomiak, Jörg Benndorf (TU Bergakademie Freiberg, Germany) for the presentation entitled Spectral analysis of ore hyperspectral images at different stages of the mining value chain, whereas the best poster was awarded to Adam Wróblewski, Jacek Wodecki, Paweł Trybała, Radosław Zimroz (Wrocław University of Science and technology, Poland) for the poster entitled Large underground structures geometry evaluation based on point cloud data analysis.List of Scientific Committee, Organizing Committee, Editorial Team are available i this pdf.

Conceptualising Circular economy performance with non-traditional valuation methods: Lessons for a post-Pandemic recovery

The circular economy (CE) has gained importance in the post-COVID-19 pandemic recovery. Businesses, while realising the CE benefits, have challenges in justifying and evaluating the CE benefits using available performance measurement tools, specifically when considering sustainability and other non-traditional benefits. Given the rising institutional pressures for environmental and social sustainability, we argue that organisations can evaluate their CE implementation performance using non-market-based environmental goods valuation methods. Further, the effectiveness of the CE performance measurement model can be enhanced to support supply chain sustainability and resilience through an ecosystem of multi-stakeholder digital technologies that include a range of emerging technologies such as blockchain technology, the internet-of-things (IoT), artificial intelligence, remote sensing, and tracking technologies. Accordingly, a CE performance measurement model (CEPMM) is conceptualised and exemplified using seven COVID-19 disruption scenarios to provide insights that can be addressed through CE practices. Analyses and implications are presented along with areas for future research.

A QGIS plugin for BONDS project: integrating field data with geographical, remote sensing and health information

Open source Geographic Information System (GIS) have been fostering spatial data research such as Earth observation and environmental monitoring for more than 30 years. More recently, globally available geospatial information combined with web technologies are providing new environments and tools for data handling. Thus, binding the mapping and processing capabilities of traditional GIS to the accessibility and reliability of web-based data providers can bring new opportunities for research. In this paper, we built a QGIS plugin to explore the integration of different public data providers in Brazil along with field data produced by the BONDS project. The biOdiversity conservatioN with Development in Amazon wetlandS project (BONDS) proposes to develop biodiversity scenarios for the Amazonian floodplains aiming to support solutions to preserve biodiversity and ecosystem services. The use of web services enabled dynamic and fast access to several products ranging from remote sensing images, land use and land cover, territorial cartography, water quality, to COVID-19 health data, and more. © 2022 National Institute for Space Research, INPE. All rights reserved.

Covid-19 Vaccination Impact on Atrial Arrhythmias - Real-World Evidence from the Certitude Registry

Background: The COVID-19 vaccines were developed unprecedentedly and have proven safe and efficacious in reducing transmissibility and severe infection. The impact of mRNA-based COVID-19 vaccines on atrial arrhythmias (AA) incidence is unknown. Objective(s): To analyze the incidence of AA after COVID-19 vaccination in patients with a cardiac implantable electronic device (CIED). Method(s): BIOTRONIK Home Monitoring data and Medicare claims data from CERTITUDE patients implanted with a CIED between 2010-20 were utilized to identify recipients of one or more doses of the COVID-19 vaccine in 2021. Those who had influenza vaccination in 2020 were also identified in the same cohort as a control. From remote monitoring data, the number of atrial high rate events (AHR) and % burden of AA in the three months post-vaccination was compared to the preceding three months using Wilcoxon signed rank test. Kruskal-Wallis test was used for group difference comparisons. New AF diagnosis was determined from ICD-10 diagnosis codes in Medicare claims. Result(s): First and 2nd doses of COVID vaccine (50% Pfizer, 47% Moderna, and 3% J&J) were administered to 7757 and 6579 individuals with a CIED (age 76.2 (+/-9.0) y, 49% males), respectively. In the same cohort, 4723 (61%) individuals received the influenza vaccine. A statistically significant increase in the number of AHR episodes and % burden of AA was noted in the three months post-vaccination compared to the preceding three months after the 1st and 2nd doses of the COVID-19 vaccine (Figure). No such association was noted following influenza vaccination. In subgroup analysis, AHR episodes increased significantly in age groups >70 and men. Post-vaccination increase in AHR episodes was more significant in those without a pre-vaccination history of AHR episodes (mean increase of AHR 6.9+/-88.4, p<0.001) and was non-significant in those with a preceding history of AHR (p=0.8). Among the 764 patients with no AF diagnosis in claims preceding the first COVID-19 vaccine, 87 (11.4%) developed a new AF diagnosis or AHR event in the first three months post-vaccination. Conclusion(s): We report a small but significant increase in the number of CIED-detected atrial arrhythmias following vaccination for COVID-19 but not influenza, specifically in men and age >70 years. Acknowledging the immense public health benefit of COVID-19 vaccines, our results should prompt increased awareness of evaluating for AF in this high-risk group following vaccination. [Formula presented]Copyright © 2023

Sentinel satellite data monitoring of air pollutants with interpolation methods in Guayaquil, Ecuador

In Ecuador, there is a limitation on air quality monitoring due to the cost of monitoring networks. Although air quality monitoring stations are instruments for air measurement, they do not cover an entire city due to their scope. Satellite remote sensing is now an effective tool to study atmospheric pollutants and has been applied to continuously assess a region and overcome the limitations of fixed stations. Despite the application of satellite data for air quality monitoring, there are some limitations, such as measurement frequency, cloud cover and wide spatial resolution, which do not allow the assessment of air pollution in cities. Therefore, downscaling, applying interpolation methods, is essential for continuous air quality monitoring at smaller scales. For this research, Nitrogen Dioxide (NO2) data from the Sentinel-5 satellite percussor was used in the city of Guayaquil for January–December 2020, which is considered before, during and after the COVID-19 quarantine. This mid-size port city does not have a permanent monitoring network, which prevents us from knowing the air quality. Due to the limitation of pixel size, this study used satellite data to apply interpolation techniques and reduce pixels to assess air quality. Two categories of interpolation were selected: deterministic and stochastic. The empirical Bayesian kriging (EBK) interpolation obtained a R2 of 0.9546, which was superior to the other methods applied. Therefore, the EBK method had the best accuracy for tropospheric NO2 concentration. Finally, the method used in this research can help monitor air quality in cities lacking continuous monitoring networks, as the reduction of the pixel size gives us a better pattern of pollutants.

Preface

International Conference on Geospatial Science for Digital Earth Observation (GSDEO 2021)The international conference on "Geospatial Science for Digital Earth Observation” (GSDEO) 2021 was successfully held on a virtual platform of Zoom on March 26th and 27th, 2021. The conference was jointly organized by the Indian Society of Remote Sensing (ISRS), Kolkata chapter, and the Department of Geography, School of Basic and Applied Sciences, Adamas University. Due to the non-predictable behaviour of the COVID-19 second wave, which imposed restrictions on organizing offline events, the GSDEO (2021) organizing committee decided to organize the conference online, instead of postponing the event.Remotely sensed data and geographic information systems have been increasingly used together for a vast range of applications, which include land use/land cover mapping, water resource management, weather forecasting, environmental monitoring, agriculture, disaster management, etc. Currently, intensive research is being carried out using remotely sensed data on the geoinformatics platform. New developments have led to dynamic advances in recent years. The objective of the international conference on Geospatial Science for Digital Earth Observation (GSDEO 2021) was to bring the scientists, academicians, and researchers, in the field of geo-environmental sciences on a common platform to exchange ideas and their recent findings related to the latest advances and applications of geospatial science. The call for papers received an enthusiastic response from the academic community, and over 100+ participants from 50+ colleges, universities, and institutions participated in the conference. In total 50+ research papers had been presented through the virtual Zoom conference platform in GSDEO 2021.The conference witnessed the presentation of research papers from diverse applied fields of geospatial sciences, which include the application of geoinformatics in geomorphology, hydrology, urban science, land use planning, climate, and environmental studies. There were four sessions namely, TS 1: Geomorphology and Hydrology, TS 2: Urban Science, TS 3: Social Sustainability and Land Use Planning, and TS 4: Climate and Environment. Each session was further subdivided, into two parts, namely Technical Session 1-A and 1-B. Each sub-session had been designed with one keynote speech and 5 oral presentations. Oral sessions were organized in two parts and offered through live and pre-recorded components based on the preference of the presenters. The presentation session was followed by a live Q&A session. The session chairs moderated the discussions. Similarly, poster sessions were organized in three parts and offered e-poster, live, and pre-recorded components. The best presenter of each sub-session received the best paper award.Dr. Prithvish Nag, Ex-Director of NATMO & Ex Surveyor General of India delivered the inaugural speech, and Dr. P. Chakrabarti, Former Chief Scientist of the DST&B, Govt. of West Bengal delivered a special lecture after the inaugural session. Eight eminent keynote speakers, Prof. S.P. Agarwal from the Indian Institute of Remote Sensing, Prof. Ashis Kumar Paul from Vidyasagar University, Prof. Soumya Kanti Ghosh from the Indian Institute of Technology, Kharagpur, Prof. L. N. Satpati from the University of Calcutta, Prof. R.B. Singh from the University of Delhi, Dr. A.K. Raha, IFS (Retd), Prof. Gerald Mills from the University College Dublin and Prof. Sugata Hazra from Jadavpur University enriched the knowledge of participants in the field of geoinformatics by their informative lectures. The presentations and discussions widely covered the various spectrums of geoinformatics and its application in monitoring natural resources like vegetation mapping, agricultural resource monitoring, forest health assessment, water, and ocean resource management, disaster management, land resource management, water and climate studies, drought vulnerability assessment, groundwater quality monitoring, accretion mapping and the use of geospatial sci nce in studying morphological, hydrological, and other biophysical characteristics of a region etc. Application of geoinformatics in predicting urban expansion, urban climate, disaster management, healthcare accessibility, anthropogenic resource monitoring, spatial-interaction mapping, and, sustainable regional planning were well-discussed topics of the conference.List of Committees, photos are available in the pdf.

Development of a national cystic fibrosis patient and caregiver experience of care survey

Background: Since 2015, the Cystic Fibrosis Foundation (CFF) has collected and reported experience-of-care (XoC) data. Data collection was discontinued with the onset of the COVID-19 pandemic in 2020. In 2021, CFF convened a steering committee of a person with cystic fibrosis (CF), caregivers, and clinicians to develop a XoC survey to help understand and improve the XoC at CFF accredited programs. Method(s): Using prior CFF patient and family XoC surveys (2015-2020 pediatric and adult versions) [1,2] and a telehealth survey created in 2020 [3], draft pediatric and adult versions of the survey were developed. The steering committee and CFF leaders conducted three rounds of reviewand revision. After the surveys were professionally translated into Spanish, and the CFF Spanish Speakers Committee reviewed them, the surveys were programmed into Qualtrics for data collection. The data collection process was piloted with selected programs before a national launch. Result(s): Pediatric and adult surveys were developed in English and Spanish. The surveys cover in-person and telehealth (phone/video) visits and visits that are a mix of in-person and telehealth. The topics include interactions with care team members, relationship-centered care, care planning, shared decision-making, overall quality of care, race and ethnicity, gender identity, infection, prevention and control, quality of the virtual connection, and experience with remote monitoring. People with CF (PwCF) and their families are invited to complete a survey once every 6 months by text or email. PwCF and family contact data (email and mobile phone number) are stored in CFF's CFSmartReports Patient and Family Tool. After a clinic visit, contact data are electronically transferred to the Qualtrics platform to trigger a survey invitation. Responses are anonymous and reported back to programs via an electronic dashboard in near-real time. The data collection process was tested with three pediatric and three adult care programs for 3 weeks before the national launch on October 25, 2021. More than 2,000 PwCF and their families have completed a survey. Conclusion(s): The new XoC surveys offer PwCF and their families an opportunity to share feedback about their in-person and virtual care experiences. Efforts are underway to create a national report for dissemination and to engage programs with the data reported in their dashboards to celebrate what PwCF and their families appreciate about their care and to work together with them to improve gaps.Copyright © 2022, European Cystic Fibrosis Society. All rights reserved

Untangling the Integral Impact of Land Use Change, Economic, Ecological and Social Factors on the Development of Burabay District (Kazakhstan) during the Period 1999–2021

Long-term spatiotemporal Land Use and Land Cover (LULC) analysis is an objective tool for assessing patterns of sustainable development (SD). The basic purpose of this research is to define the Driving Mechanisms (DM) and assess the trend of SD in the Burabay district (Kazakhstan), which includes a city, an agro-industrial complex, and a national natural park, based on the integrated use of spatiotemporal data (STD), economic, environmental, and social (EES) indicators. The research was performed on the GEE platform using Landsat and Random Forest. The DM were studied by Multiple Linear Regression and Principal Component Analysis. SD trend was assessed through sequential transformations, aggregations, and integrations of 36 original STD and EES indicators. The overall classification accuracy was 0.85–0.97. Over the past 23 years, pasture area has changed the most (−16.69%), followed by arable land (+14.72%), forest area increased slightly (+1.81%), and built-up land—only +0.16%. The DM of development of the AOI are mainly economic components. There has been a noticeable drop in the development growth of the study area in 2021, which is apparently a consequence of the COVID-19. The upshots of the research can serve as a foundation for evaluating SD and LULC policy.

Impact of providing at-home medical device kits on remote monitoring of individuals with cystic fibrosis

Background: Cystic fibrosis (CF) is a chronic, multi-system disease that can greatly affect quality of life, so it is important for people with CF to be closely evaluated. Routine care includes measurement of basic vital signs, which allows providers to assess respiratory, cardiovascular, and nutritional status, all of which are aspects people with CF at high risk of decompensation because of the disease's pathophysiology [1]. Providing patients with home devices can improve access to vital sign monitoring, which in turn can expand the scope of telehealth and bring attention to daily changes in a patient's overall health [2]. We predict that providing patients with medical devices to monitor vitals will benefit their overall health and wellbeing. Method(s): Medical device kits were offered to patients coming for their routine in-person visits at VCU Health Mayland Medical Center. Each kit contained a tape measure, pulse oximeter, thermometer, blood pressure apparatus, and weight scale. Before receiving the kit, patients who agreed to participate in the study filled out a pre-distribution survey that was modeled after the Centers for Disease Control and Prevention Health- Related Quality of Life-14. If patients did not know how to use a device, health care staff instructed them on its use. Twoweeks after they received the kit, patients were emailed a post-distribution survey that assessed the usefulness of each medical device. Result(s): Seventeen of 18 patients (94.4%) agreed to participate in the study. From the pre-distribution survey, 11.8% of patients frequently monitored their vitals;94.1% of those believed that using the devices would help improve the maintenance of their health, and 82.3% were aware of normal values for blood pressure, pulse, oxygen level, and body temperature and how to measure height and weight. All six of the 17 (35.3%) patients who responded to the post-distribution survey stated that the devices had worked as intended and that they did not find the devices too time consuming. Of the five devices that patients received, most patients found the pulse oximeter and blood pressure apparatus to be useful (100%), followed by the weight machine (75%), thermometer (50%), and tape measure (0%). Conclusion(s): Although most patients agreed that monitoring their vital signs at home would help maintain or enhance their health (94.1%), before this study, only two (11.8%) indicated that they regularly self-measured their vital signs. Overall, patients received being provided home devices was overall positively, with the pulse oximeter and blood pressure apparatus being the most popular. Reasons included ease of access and ability to self-triage and determine the urgency of seeing a health care provider if feeling unwell. The results of this study highlight not only patient desires to be more involved with their health, but also the importance of continuing to find ways to optimize remote monitoring during this COVID era.Copyright © 2022, European Cystic Fibrosis Society. All rights reserved

XXII International Conference and School on Quantum Electronics: "Laser Physics and Applications”

The International School on Quantum Electronics "Laser Physics and Applications” was held for the first time as far back as 1980. Since then it has taken place biennially and has become an important international event in the field of laser physics and laser applications attracting participants from many countries, especially from south-eastern Europe. Traditionally, its program includes lectures delivered by prominent scientists dealing with investigations of basic physical phenomena, processes of interaction of laser radiation with matter and latest scientific results obtained in the research areas of quantum electronics and optics, as well as the technological practical applications of new ideas, devices, instruments and laser systems. Special attention is paid to the active participation of students and young scientists who have the opportunity to present their results and meet and share experience with outstanding professionals in their particular fields of research.The topics include the following:• Laser-matter interactions• Laser spectroscopy and metrology• Laser remote sensing and ecology• Lasers in biology and medicine• Laser systems and nonlinear optics• Alternative techniques for material synthesis and processingThe 22nd edition of the ICSQE was held as a virtual forum due to the restrictions related to COVID-19 pandemic from September 19th to 23rd, 2022. The Institute of Electronics, Bulgarian Academy of Sciences, located in Sofia, Bulgaria, hosted the conference organization. The Big Blue Button on-line system was used as a technical platform for the meeting. The technical sessions of the International School on Quantum Electronics included 22 invited talks (30 min + 5 min Q&A), a Mini-Symposium "Extreme light infrastructure”, 11 oral contributions (30 min + 5 min Q&A) and in total 51 poster presentations divided into 5 sessions (1 hour each). The platform was available 24 hours, allowing discussions in addition to the technical program. The total number of participants was 90 from 16 countries.The XXII International Conference and School on Quantum Electronics: "Laser Physics and Applications” was held by the financial support from the Bulgarian National Science Fund under Project No. KP-06-MNF/4, 20.07.2022.List of Committees, International Advisory Committee, Program Committee, Local Organizing Committee, Lecturers, Oral Presentations, Poster Presentations are available in this pdf.