Prevalence and Associated Factors of Internet Addiction Among Male Students of Jubail University College, Saudi Arabia

This study aims to determine the associated factors and prevalence of Internet addiction among Jubail University College – Male Branch students. Descriptive cross-sectional method was applied. 171 students participated. Self-administered survey questionnaire was the data-gathering instrument. Young's Internet Addiction Test was used to determine the level of internet usage. Factors associated with high internet consumption are accessibility, boredom, isolation, and extreme weather condition. Covid-19 pandemic changed the way respondents consume internet. It also changed the respondents' sleeping pattern and increases the average internet usage per day. Though the internet played a vital role during Covid-19 pandemic, it also increases the dependency of students on it. Higher number of moderate level internet addiction has been found among respondents. Therefore, it is encouraged that JUC should design a program to address the current situation.

Evaluation of a Low-Cost Air Renewal System for Indoor Air Quality Control in a Climate Chamber

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.

Probabilistic Forecasting of Electricity Demand Incorporating Mobility Data

Due to extreme weather conditions and anomalous events such as the COVID-19 pandemic, utilities and grid operators worldwide face unprecedented challenges. These unanticipated changes in trends introduce new uncertainties in conventional short-term electricity demand forecasting (EDF) since its result depends on recent usage as an input variable. In order to quantify the uncertainty of EDF effectively, this paper proposes a comprehensive probabilistic EFD method based on Gaussian process regression (GPR) and kernel density estimation (KDE). GPR is a non-parametric method based on Bayesian theory, which can handle the uncertainties in EDF using limited data. Mobility data is incorporated to manage uncertainty and pattern changes and increase forecasting model scalability. This study first performs a correlation study for feature selection that comprises weather, renewable and non-renewable energy, and mobility data. Then, different kernel functions of GPR are compared, and the optimal function is recommended for real applications. Finally, real data are used to validate the effectiveness of the proposed model and are elaborated with three scenarios. Comparison results with other conventional adopted methods show that the proposed method can achieve high forecasting accuracy with a minimum quantity of data while addressing forecasting uncertainty, thus improving decision-making.

Automated flood inundation mapping over Ganga basin

The worldwide appearance of COVID-19 halted all activity and caused the longest statewide lockdown. These wreaked havoc on people's livelihoods. The July 2020 floods also caused severe challenges. It adds anguish to the lives of those seeking to regulate COVID-19. It reduces catastrophe risk in other industries. Real-time information from space-based sensors is needed for a quick response. Using a cloud-based platform like Google earth engine (GEE), SAR pictures are analyzed automatically. This research shows the possibilities of automated procedures and algorithms on cloud-based systems. The findings provide flood extent maps for the lower Ganga basin, in India. Severe floods affected a large population in Bihar and West Bengal. This research provides a rapid and exact estimate of flooded regions to aid in risk assessment, notably during COVID-19. © 2023 Elsevier Inc. All rights reserved.

COVID-19 Plus: Addressing Food Security (SDG 2) and Malnutrition Within a Web of Disasters in the SADC Region

Despite the progress made to attain the Sustainable Development Goal (SDG) 2: zero hunger in other regions of the world, the UN Food and Agricultural Organisation notes that Asia and Africa are still lagging in this regard. The advent of COVID-19 is exacerbating the situation. This study examines how the impact of natural disasters compounded by COVID-19 (COVID-19 plus) affected the state of food security and nutritional status of the populace in the Southern African Development Community (SADC) and the consequences of these on development. The study used secondary and archival data from field assessments conducted by SADC member countries and other critical secondary data sources. The study found that extreme weather patterns, such as droughts, flooding and intense rainfall, coupled with sociopolitical instability and the outbreak of COVID-19 would further limit the region's ability to meet targets set under SDG 2 (zero hunger) and other SDG targets it has synergies with, particularly those related to health (SDG3). Increased food insecurity is a threat to the health, social and economic well-being of the region's population, with detrimental implications for the present and future security of the region. The study calls for support, such as extended social safety net programmes to deal with food insecurity challenges in the short to medium term, if the situation is to be harnessed from further deterioration. There is also a need to put in place measures to address increasing poverty and inequality meted on the populations by COVID-19 induced lockdowns. Such interventions must be sensitive to gender and prioritise the needs of the youth population. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

New Developments in Climate Change, Air Pollution, Pollen Allergy, and Interaction with SARS-CoV-2

In recent years, the environmental impacts of climate change have become increasingly evident. Extreme meteorological events are influenced by climate change, which also alter the magnitude and pattern of precipitations and winds. Climate change can have a particularly negative impact on respiratory health, which can lead to the emergence of asthma and allergic respiratory illnesses. Pollen is one of the main components of the atmospheric bioaerosol and is able to induce allergic symptoms in certain subjects. Climate change affects the onset, length, and severity of the pollen season, with effects on pollen allergy. Higher levels of carbon dioxide (CO2) can lead to enhanced photosynthesis and a higher pollen production in plants. Pollen grains can also interact with air pollutants and be affected by thunderstorms and other extreme events, exacerbating the insurgence of respiratory diseases such as allergic rhinitis and asthma. The consequences of climate change might also favor the spreading of pandemics, such as the COVID-19 one.

Tropical Conditions and Outbreak of COVID-19

Background: The new novel Coronavirus 2019 (nCOV-19 or COVID-19) has caused an unprecedented pandemic in humans. All nations have heightened their surveillances after the quick diagnosis of potential cases of the COVID-19. Objective(s): Recent statistics have mentioned that virus outbreak in tropical countries is relatively low compared to cold nations. To support this conclusion, we considered the six main tropical regions to investigate the pandemic distribution at the initial phase. Method(s): Chi-square test was applied to understand the correlation between outbreak and temperature changes. Significant probability P-value was set to P<0.01. P-values were calculated to both positive and death cases. Result(s): Out of 1211562 infected cases, 41776 cases (3.45%) were registered at hightemperature countries (P<0.0001) and 1161786 cases (96.55%) at other countries like European countries or the USA. Moreover, only 1433 mortality cases (2.2%) happened, and the remaining 97.8% of mortality happened among other nations. Conclusion(s): Similar to other respiratory viruses like flu and influenza, there is a low outbreak of COVID-19 in tropical nations compared to the other countries. Apart from weather conditions, it is also recommended to follow the serious preventive measures imposed by governments to survive this novel epidemic.Copyright © 2020

Marginalizing Misinformation - The Fast-and-Frugal Way

What is the evidence for a consensus among the relevant scientific community? [...]if the source proves credible, ask yourself, "Do they exhibit relevant expertise?" Namely, does the person have the depth of knowledge to vouch for this claim? [...]if you have a credible and expert source, is there evidence that the majority of scientists concur? (Time will vary depending on the depth and complexity of the issue.) Possible scientific claims for students to evaluate include * Do cell phones or 5G communication towers cause cancer? * Can ivermectin prevent COVID-19? * Can earthquakes be precisely predicted? * Are GMO foods safe to eat? * Are recent extreme weather events (hurricanes, droughts, floods) related to climate change? *

A Cross-Sectional Pilot Study of Parental Outdoor Play Preferences and Association With Child Overweight and Obesity.

Childhood obesity is highly prevalent among certain populations of New York. This cross-sectional pilot study examined the associations between parental attitudes about outdoor activities and body mass index (BMI). A questionnaire was distributed among parents of 1 to 13 aged children at ambulatory pediatric clinics. Of 104 children included in the study 57 were of normal weight and 47 were overweight or obese. Most parents of children with BMI <85% reported frequent playground utilization, considered longer hours to spend outside on weekdays, reported a larger total temperature range for outdoor playground utilization and a lower tolerable minimum temperature compared to parents of children with BMI ≥85%, p < .05. Only having a parent born outside of the United States remained a significant predictor of overweight and obesity in the final model. Parents of children with BMI < 85% are more willing to spend time outdoors, regardless of weather. Immigrant parents are protective against overweight.

When green recovery fails to consider coal pushback: Exploring global coal rebounds, production, and policy retrenchment post Covid-19

The global green recovery is facing a significant threat due to the escalating consumption of coal and the announcement of new coal development plans by several leading nations. This study presents an overview of post-pandemic coal activities and identifies three types of coal rebound, namely coal use rebound, coal production or power plant expansion, and climate change policy retrenchments, that pose a challenge to global green recovery after the COVID-19 pandemic. We delve into the major short-term and long-term factors that underlie the coal rebound by analyzing case studies from eight countries, namely Vietnam, Zimbabwe, China, India, the United States, Germany, Australia, and Indonesia. The findings indicate that in the short-run, energy price volatility induced by the COVID-19 pandemic and geopolitical crises are the primary factors driving the coal rebound in most countries. We also highlight that the climate-induced coal rebound due to extreme weather could backfire and emerge as a major short-term factor to impede decarbonization efforts. This round of coal rebounds can be attributed to several long-term factors, including the anticipated economic growth in phase-in and established countries, the abundance of coal endowment, the reliance on the coal economy resulting from it, the political influence of coal sectors, the resurgence of geopolitics, and concerns around energy security. It is noteworthy that the return of geopolitics is likely to impact the energy transition for decades to come. The study provides policy recommendations to mitigate coal rebound and enhance the post-pandemic green recovery.

The complex interplay between weather, social activity, and COVID-19 in the US.

Empirical studies on the impact of weather and policy interventions on Covid-19 infections have dedicated little attention to the mediation role of social activity. In this study, we combine mobile locations, weather, and COVID-19 data in a two-way fixed effects mediation model to estimate the impact of weather and policy interventions on the COVID-19 infection rate in the US before the availability of vaccines, disentangling their direct impact from the part of the effect that is mediated by the endogenous response of social activity. We show that, while temperature reduces viral infectiousness, it also increases the amount of time individuals spend out of home, which instead favours the spread of the virus. This second channel substantially attenuates the beneficial effect of temperature in curbing the spread of the virus, offsetting one-third of the potential seasonal fluctuations in the reproduction rate. The mediation role of social activity is particularly pronounced when viral incidence is low, and completely offsets the beneficial effect of temperature. Despite being significant predictors of social activity, wind speed and precipitation do not induce sufficient variation to affect infections. Our estimates also suggest that school closures and lockdowns are effective in reducing infections. We employ our estimates to quantify the seasonal variation in the reproduction rate stemming from weather seasonality in the US.

Traffic Flow Forecasting in the COVID-19: A Deep Spatial-temporal Model Based on DiscreteWavelet Transformation

Traffic flowprediction has always been the focus of research in the field of Intelligent Transportation Systems, which is conducive to the more reasonable allocation of basic transportation resources and formulation of transportation policies. The spread of COVID-19 has seriously affected the normal order in the transportation sector. With the increase in the number of infected people and the government's anti-epidemic policy, human outgoing activities have gradually decreased, resulting in increasingly obvious discreteness and irregularities in traffic flow data. This article proposes a deep-space time traffic flow prediction model based on discrete wavelet transform (DSTM-DWT) to overcome the highly discrete and irregular nature of the new crown epidemic. First, DSTM-DWT decomposes traffic flow into discrete attributes, such as flow trend, discrete amplitude, and discrete baseline. Second, we design the spatial relationship of the transportation network as a graph and integrate the new crown pneumonia epidemic data into the characteristics of each transportation node. Then, we use the graph convolutional network to calculate the spatial correlation of each node, and the temporal convolutional network to calculate the temporal correlation of the data. In order to solve the problem of high discreteness of traffic flow data during the epidemic, this article proposes a graph memory network (GMN), which is used to convert discrete magnitudes separated by discrete wavelet transform into highdimensional discrete features. Finally, use DWT to segment the predicted traffic data, and then perform the inverse discrete wavelet transform between the newly segmented traffic trend and discrete baseline and the discrete model predicted by GMN to obtain the final traffic flow prediction result. In simulation experiments, this work was compared with the existing advanced baselines to verify the superiority of DSTM-DWT.

Modeling reality with mathematics

Simulating the behavior of a human heart, predicting tomorrow's weather, optimizing the aerodynamics of a sailboat, finding the ideal cooking time for a hamburger: to solve these problems, cardiologists, meteorologists, sportsmen, and engineers can count on math help. This book will lead you to the discovery of a magical world, made up of equations, in which a huge variety of important problems for our life can find useful answers. © The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022. All rights reserved.

Chronic Chilblain Like Lesions Associated with the Covid-19 Pandemic

Background/Aims We report the features of chronic chilblain-like digital lesions newly presenting since the start of the covid-19 pandemic. Comparison with primary perniosis and acrocyanosis, reveals a unique phenotype which appears to be a long-covid phenomenon. Methods The case records of 26 patients with new onset persistent chilblain-like lesions presenting to the Rheumatology service of St George's University Hospital, London between Autumn 2020 and Spring 2022 were reviewed. Demographic and clinical features, serology, imaging, treatment response and outcome up to Summer 2022 were collated retrospectively. Results Chilblain-like lesions first occurred between September and March;2019/ 2020 6 cases, 2020/2021 18 cases and 2021/2022 2 cases. Mean age 35.4 (17-60) years, 88% female, 85% white, all non-smokers. Median body mass index (BMI) 20.2, range 17.0 - 33.2. BMI underweight (<18.5) in 27%. All cases reported new red-purple-blue colour changes of the fingers, some with pain, swelling and pruritis, affecting both hands in 12, one hand in 6, and both hands and feet in 8 cases. There was a past history of cold sensitivity or primary Raynaud's in 54%. Covid was confirmed in 3 cases, 2 - 8 months prior to onset of chilblain-like symptoms. Possible covid, unconfirmed, was suspected in 5 cases, 1 - 11 months earlier. Affected digits appeared diffusely erythro-cyanotic in 81%, with blotchy discrete maculo-papular erythematous lesions in 42%, some with both features. Involvement was asymmetric in 54%, thumbs spared in 69%. Complement was low in 50% (8/16), ANA positive in 26% (6/23). MRI of hands showed phalangeal bone marrow oedema in keeping with osteitis in 4 of 7 cases. More severe signs and symptoms were associated with low BMI, low C3/4 and a past history of cold sensitivity or Raynauds. Cold avoidance strategies were sufficient for 58%. Pain prompted a trial of NSAIDs, aspirin, nitrates, calcium channel blockers, hydroxychloroquine, oral or topical corticosteroid or topical tacrolimus in 42%. In general, these were minimally effective or not tolerated. 4 severe cases received sildenafil or tadalafil, effective in 2. In 27% complete remission occurred during the first summer season after symptoms commenced, median duration 6 (range 2 - 10) months. In the remaining 19 cases, chilblain-like symptoms returned or worsened in the subsequent second winter period, with 6 of 19 entering remission the following summer. For the remaining 13 persistent cases the total duration of symptoms spans more than a year, and in four cases more than 2 years. Conclusion This series illustrates a distinct chronic chilblain-like condition. Features similar to primary perniosis include female predominance, middle age, pruritic painful blotchy lesions, asymmetry and low BMI. Features in keeping with acrocyanosis include chronicity, extensive diffuse erythro-cyanotic discoloration, relative improvement in warm weather and lack of association with smoking.

Community Engaged Learning as part of Senior Research Seminar and Chemistry and Biochemistry Club Activities

The Outreach Program involves Community -engaged Learning that seeks to involve both the classroom and the Christian Brothers University (CBU) biochemistry and chemistry clubs in our K-12 education focused activities. These activities include a regional science fair for middle and high school students, the Chemistry Olympiad local and national competitions, and a summer outreach program for K-5 children who were recent immigrants from war-torn areas of Africa. Students in a seniorlevel research seminar class had an opportunity to put their skills to use by assisting in the judging of research projects conducted by grades 6, 7, and 8 students in our middle school fair which was affiliated with the Broadcom Masters national competition. Students in both the biochemistry and chemistry clubs and the research class have assisted with both the middle school and high school fairs by setting up tables for the presenting students and serving as information guides for the middle and high school students and their parents and teachers who came to our CBU campus to participate in the fairs prior to the Covid-19 pandemic. The assistance of our students from the research course and the clubs has enabled us to allow area students from public, private, and home-school to compete in the fairs at no charge to them or their parents or schools. Students from the biochemistry and chemistry clubs also helped by serving as information guides at the Chemistry Olympiad competitions and preparing the lab for the practical experimental section of the National Chemistry Olympiad Exam. These programs are resuming this spring with In-person only fairs and Chemistry Olympiad competitions with active participation by our students. Also prior to the COVID-19 pandemic, students from the biochemistry and chemistry clubs participated in the summer enrichment programs outside CBU for children of recent immigrants from Africa. These programs focused on a variety of STEM related activities related to chemistry, weather, geology, and fractals.Copyright © 2023 The American Society for Biochemistry and Molecular Biology, Inc.

CRISIS & EMERGENCY RISK COMMUNICATION: Six Principles for OSH Professionals

[...]as of this writing, the last complete revision to the CDC's CERC framework took place in 2014, and the last update to the web page where it is housed was in 2018 (CDC, 2018a). While OSH professionals may not find themselves as the face of a response effort, their subject matter expertise is essential to helping their organizations identify potential hazards and implement appropriate controls using effective communication (CDC, 2018b;Loon, 2020). [...]it is critical for OSH professionals to apply these six principles of CERC to remain accurate, credible and timely in their risk communication. In situations such as serious injuries and fatalities, extreme weather events, environmental or property damage, or even infectious disease outbreaks, OSH professionals are well positioned to be the source of immediate subject matter expertise even if the situation is not fully understood. [...]while establishing their position as the first to present the information relevant to their subject matter expertise, OSH professionals must accurately present what is known, what is not known and the processes in place to fill any knowledge gaps (CDC, 2018b).

International cooperation, production side emissions and environmental sustainability

PurposeRising greenhouse gases have contributed to global warming above the pre-industrial levels with detrimental effects on world climatic patterns. Extreme weather has inflicted drastic impacts, including loss of lives and livelihoods and economic disruption. However, collective international cooperation in adopting greenhouse gas emission mitigating measures can translate into long-run beneficial effects of improving environmental quality. This study examines if international environmental cooperation among the world's top ten polluters can reduce production side emissions.Design/methodology/approachThe panel estimation procedure was applied to data from ten top polluting countries from 2000 to 2019.FindingsThe results revealed a statistically significant inverse association between a nation's commitments to international environmental treaties and carbon dioxide emissions. Other than confirming the environmental Kuznets curve effect, industrial intensification, international trade and law rule are other strong correlations of carbon dioxide emissions.Research limitations/implicationsThe main policy implication is the urgency for the leaders of the world's top ten polluters to actively cooperate in developing and implementing new production-side carbon emission measures as well as the implementation and enforcement of existing international treaties to minimize further environmental damage and let the countries in the lower ranks of carbon emissions to enjoy the long-run benefits of the decarbonized world.Originality/valueThis study makes a new contribution to the environmental research literature by unfolding how collective global cooperation on environmental challenges can help reduce environmental damage in a coherent analytical framework.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2022-0598

IMPLEMENTATION INSIGHTS from SITE CHAMPIONS and STATE LEADS POST-ROLLOUT of the SAFER BABY BUNDLE

Background: National rollout of the Safer Baby Bundle (SBB) is recommended by the National Stillbirth Action and Implementation Plan for improving the standard of antenatal care at scale to reduce stillbirth. Progressive implementation over 2.5 years, commenced from mid-2019. This qualitative study aims to understand the process enablers and barriers influencing the effectiveness of SBB implementation. Method(s): Semi-structured interviews with SBB site leads/champions (17 maternity services) and state program leads across Queensland (QLD), Victoria (VIC) and New South Wales (NSW) were conducted post-implementation of SBB to explore local, regional, and state implementation strategies, processes and experiences. Normalization Process Theory was used as an analytic framework for thematic analysis to understand different approaches and contexts for SBB implementation. Result(s): 17 site leads (6 VIC, 5 NSW, 6 QLD) and 6 state program leads were interviewed from Sept to mid-Nov 2022. Findings indicate strong local leadership, shared regional and state-based learning opportunities, consistency of information and endorsement by clinical networks were key implementation supports. Barriers included limitations and inconsistencies across data and information systems, and constraints with protected time for training and improvement activities. High turnover and re-deployment of leads due to external factors (e.g., COVID, extreme weather events) disrupted timelines, impacting commitment and engagement with the initiative. Conclusion(s): Despite differences in resources, approaches, and timelines between sites and states for SBB implementation, similar key barriers and enablers were identified. An in-depth understanding of the factors underpinning successful implementation of the SBB will guide future activities to support sustainable change.

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.