bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of the standard operating procedure Box Method to increase self-confidence and basic nursing skills of nursing students during the COVID-19 pandemic
Authors:   Faculty of Health, Universitas Katolik Indonesia Santu Paulus Ruteng, East Nusa Tenggara, Indonesia, Dewiyanti Wea Lidwina
Published: November 2022

Introduction: Coronavirus Disease 2019 (COVID-19) pandemic develops an overwhelming new challenge not only to public health but also to nursing education and the workforce. Online methods brought difficulties to laboratory practice. Thus, this study aimed to identify the effect of using the nursing procedure box method as a remote and active learning method on nursing students’ basic nursing skills and self-confidence during a COVID-19 pandemic.
Risk factors of increased blood pressure among adolescents in rural areas of Indonesia
Authors:   Universitas Katolik Indonesia Santu Paulus Ruteng, East Nusa Tenggara, Indonesia, Ningsih Oliva Suyen
Published: November 2022

Introduction: Hypertension in adolescents can increase mortality and morbidity rates, affecting productivity decline in adolescents. The prevalence of hypertension in adolescents is increasing and is often not realized by adolescents. This study aimed to identify risk factors for increased blood pressure in adolescents in rural areas. Methods: This study uses a cross-sectional study design carried out in May 2022 in one of the senior high schools in Manggarai Regency, East Nusa Tenggara. The sample in this study was students aged 13-18 years (n=44) based on the inclusion criteria. The sampling technique used was convenience sampling with data analysis using Chi-Square.
Antibacterial activity of Indonesian Bidara Upas Tuber (Merremia Mammosa L.) against pathogen bacteria
Authors:   Faculty of Health Sciences, Universitas Anwar Medika, Sidoarjo, East Java, Indonesia, Nurrosyidah Iif Hanifa
Published: November 2022

Introduction: Infectious diseases are still a problem in developing and tropical countries such as Indonesia. This study aims to determine whether the antibacterial substances contained in Bidara Upas tubers affect the growth of Streptococcus sp., Pseudomonas aeruginosa, Escherichia coli Extended-spectrum B-lactamase and Methicillin resistance Staphylococcus aureus (MRSA).
The effectiveness and usability of electronic partograph for obstetric care: A systematic review
Authors:   Doctoral Program on Public Health, Universitas Sebelas Maret, Surakarta, Indonesia. Faculty of Health Sciences, Universitas Galuh, Ciamis, Indonesia, Ningrum Widya Maya
Published: November 2022

Introduction: Partograph is an instrument used to monitor and prevent labor complications. Unfortunately, a large number of situations where there is limited awareness of how to use a partograph as a labor monitoring tool. One of the efforts made is to develop partographs in the form of electronic partograph (e-partograph) applications. This review aims to analyze the effectiveness and usability of electronic partograph for obstetric care.
Sustainable services for the elderly in Malang city: A qualitative study
Authors:   Master Program in Nursing, Faculty of Health Sciences, Universitas Brawijaya, Malang, Indonesia, Setiowati Cici Indah
Published: November 2022

Introduction: The continuity of various health services, such as hospitals and health centers, is needed to maintain the quality of care for the elderly. This study aimed to explore service providers’ role in sustainable services for the elderly. Methods: This study used a qualitative method to explore sustainable services for the elderly. The research participants totaled 16 people, namely primary and secondary informants. The researcher uses Focus Group Discussion (FGD) guidelines to become his own research instrument. The analysis in this study used Thematic Analysis.
Correlation of self-efficacy and self-management among patients undergoing hemodialysis with intradialytic hypertension complications
Authors:   Akademi Keperawatan Pemerintah Kabupaten Ngawi, East Java, Indonesia, Rohmawati Dhian Luluh
Published: November 2022

Introduction: Intradialytic hypertension (IDH) is a phenomenon in which blood pressure increases during hemodialysis. Increased awareness and thorough understanding of the complications associated with intradialytic are needed in managing the disease independently. In addition, self-efficacy can support self-management behavior. This study aimed to analyze the relationship between self-efficacy and self-management of hemodialysis patients who had complications of intradialytic hypertension.
Gynaecology and Obstetrics in Charaka Samhita
Authors:   Associate Professor, Agada Tantra and Vidhi Ayurveda (Toxicology and Forensic Medicine) Govt. Ayurvedic College, India, Goswami Dilip KR
Published: November 2022

It is accepted that, Ayurveda is the ancient system of medicine which is rich enough to guide the society in different aspects of health. The system is rich with the measures for prevention of the diseases and also with the description of medicines, diets and behaviours for treatment of different ailments. Charaka Samhita written by Charaka is the basic classic of the Ayurvedic system of medicine. Charaka Samhita, though deals with Kayachikitsa (Medicine), then also not left the other branches. Charaka has includes Obstetrics and Gynaecology also in his Samhita elaborately. Knowledge of Gynaecology and Obstetrics (Prasuti Tantra and Stree Roga) is available in Charaka Samhita in different references. The descriptions are containing some salient features which are seemed to be important and informative even in present time
The Development of Cultural Tourism in the Paradigm of SocioCultural Identity
Authors:   Professor, National Academy of Culture and Art Management, Institute of Practical Cultural and Art Management Kyiv, Ukraine, Dychkovskyy Stepan
Published: November 2022

The article studies currently important theoretical issues connected with the determination of prospects for future development of cultural tourism, which is one of leading prevalent cultural practices and which takes large percentage of investments in all developed countries as well as gives an enormous amount of money for culture culture development in general. Development of international tourist cultural event markets allows developing of new more attractive economic directions. One of the main directions of cultural tourism is event tourism, which is a unique kind of tourism as it is an inexhaustible in content, while effective use of cultural and historical potential capacity and architectural and natural monuments allows developing new more prospective economic directions of event tourism
The Effect of Emotional Intelligence and Organizational Citizenship Behavior (OCB) on Nurse Performance at Mitra Sejati Hospital Medan
Authors: Riza Indriani  , Irwansyah  , Sienny  , Niko Darlin Cibro
Published: November 2022

This study aims to determine the effect of Emotional Intelligence and Organizational Citizenship Behavior (OCB) on Nurse Performance at Mitra Sejati General Hospital Medan. The population in this study amounted to 113 permanent nurses and used probability sampling as many as 88 respondents. Data processing using SPSS 22 for Windows. Based on the results of the study partially showed that there was a Positive and Significant influence of Emotional Intelligence Variables on Nurse Performance at Mitra Sejati General Hospital Medan by 37.2%. There is a Positive and Significant Influence of Organizational Citizenship Behavior (OCB) Variables on Nurse Performance at Mitra Sejati General Hospital Medan by 38%. Based on the results of the research with the Determination test, it shows that the Variables of Emotional Intelligence and Organizational Citizenship Behavior (OCB) simultaneously have an effect on Nurse Performance. This can be seen from the results of the Determination Coefficient Test which shows a value of 0.359 which means that Emotional Intelligence and Organizational Citizenship Behavior (OCB) affects the performance of nurses by 35.9% while the rest is influenced by other variables not examined in this study.
The Influence Of Consumer Behavior and Prices On Consumer Decisions to Buy Products At PT. Daikin Airconditioning Indonesia
Authors: Sri Rezeki  , Muammar Rinaldi  , Ihdina Gustina  , Antonio Lodian
Published: November 2022

This study aims to determine the effect of consumer behavior on consumer decisions at PT. Daikin Airconditioning Indonesia, knowing the effect of price on consumer decisions at PT. Daikin Airconditioning Indonesia, knowing the influence of Consumer Behavior and Prices on Consumer Decisions at PT. Daikin Airconditioning Indonesia. The research methodology used is descriptive quantitative method. The type of data used in this study is quantitative data, namely data obtained in the form of numbers or numbers. Sources of data in the form of primary data and secondary data. Primary data obtained from the results of distributing questionnaires to respondents, secondary data obtained from data and literature relating to the problems discussed. The research population that will be used in the study are all consumers who make purchases at the company during the 2021 period as many as 15,336 consumers. By using the Slovin formula with an error rate of 10%, the number of samples obtained is 100 respondents. Data were analyzed using multiple linear regression analysis method. The results showed that consumer behavior and prices had a positive and significant effect on consumer decisions at PT. Daikin Airconditioning Indonesia
ANÁLISE BIBLIOMÉTRICA SOBRE A RELAÇÃO ENTRE DESENVOLVIMENTO HUMANO E CRESCIMENTO ECONÔMICO, 1991-2020 / BIBLIOMETRIC ANALYSIS ON THE RELATIONSHIP BETWEEN HUMAN DEVELOPMENT AND ECONOMIC GROWTH, 1991-2020
Authors: Silva Fabio Freitas da , Matias Ítalo , Hasenclever Lia , Shimoda Eduardo
Published: November 2022

O objetivo do trabalho foi realizar um mapeamento bibliométrico sobre o tema crescimento econômico e desenvolvimento humano, com ênfase nos trabalhos que estudaram a interdependência desses dois elementos. Para isso, foi realizada uma pesquisa na base Scopus usando as palavras-chave: "Human development index", "Economic Growth", "Health" e "Education". A pesquisa restringiu-se aos periódicos científicos. Os termos foram pesquisados no título, no resumo e nas palavras-chave dos artigos. Os principais resultados mostram que ainda existem poucos trabalhos que estudam a influência causal circular entre crescimento econômico e desenvolvimento humano e que o tema pesquisado está inserido em diferentes contextos, separados em duas vertentes: uma relacionada aos aspectos do desenvolvimento humano, permeando as questões econômicas; a outra, a uma abordagem na área de saúde, norteada por questões como desigualdades na saúde, saúde bucal, epidemiologia, saúde pública.  O Brasil está mais articulado com a segunda vertente. As primeiras publicações no mundo surgiram em 1991. Ao final de 2018, o Brasil passou a ser o 1º colocado em relação à quantidade de artigos científicos, sendo a USP a instituição com o maior número de publicações.
Abstract: This paper conducted a bibliometric mapping on economic growth and human development, with emphasis on the studies about the interdependence of these elements. For this, a search was carried out on the Scopus database using the keywords: "Human development index", "Economic Growth", "Health" and "Education". The search was restricted to scientific journals. The terms were searched in the title, abstract, and keywords of the articles. The main results show that there are still a few works that study the circular causal influence between economic growth and human development and that the topic researched is inserted in different contexts, separated into two aspects: one related to human development, permeating economic issues; and the other, to an approach in the health area based on issues such as health inequalities, oral health, epidemiology, public health. Brazil is more articulated with the second aspect. The first publications in the world took place in 1991. By the end of 2018, Brazil ranked 1st in the number of scientific articles, with the University of São Paulo being the institution with the largest number of publications.
Genetic, Epigenetic, and Molecular Biology of Obesity: From Pathology to Therapeutics the Way Forward
Authors: Banik Suranjana , Bardhan Mainak , Basak Suranjana
Published: November 2022

Obesity is a globally expanding silent epidemic having multiple risk factors and consequences associated with it. Genetic factors have been found to be playing undeniable roles in obesity. Intermingled relationship between epigenetics, metagenomics, and the environment influences obesity traits. High precision diagnostic tools have outlined many single nucleotide polymorphisms (SNPs), as well as many novel genes, that have been identified that create an obesogenic environment. Rare single-gene diseases can lead to early childhood obesity and less satiety. With almost 30% of the global population being under the grip of obesity, the coming days are alarming. This review summarizes the existing knowledge on the genetic causes of obesity including the epidemiology as well as the issues of concern and new additions to the list. Furthermore, we discuss the ways to enhance the healthcare outcome for patients of obesity through interdepartmental collaborations apart from pharmacological therapy that is still limited to a few drugs. The teamwork of geneticists, genetic counselors, physicians, bariatric surgeons, nurses, endocrinologists, and pharmacists may provide promising results in intervention.
Kidney Disease Patterns diagnosed by Kidney Biopsy: A Single-center Experience from Central India
Authors: Banode Ritesh Kumar , Kimmatkar Piyush , Bawankule Charulata , Adamane Vandana , Ramteke Vishal
Published: November 2022

The incidence of kidney disease patterns diagnosed by kidney biopsy depends on age, gender, race, socioeconomic, nutritional, and environmental factors. The present study was performed at a tertiary care teaching hospital in central India to show the current frequency of different types of kidney diseases through histopathological findings. Materials and methods: We carried out a retrospective analysis of kidney biopsies done in our institute between January 2016 and June 2021, and clinical and histopathological correlation was done from the available medical records. Results: Of the 411 kidney biopsies evaluated, 56.7% were females and the mean age of patients was 31.65 years. The elderly population (age ≥60 years) constituted 5% of patients. The most common indication for kidney biopsy was nephrotic syndrome (NS) (49.9%). On analysis of histological patterns, 59.3% of patients had primary glomerular disease (PGD), 28% had secondary glomerular disease (SGD), 5.2% had tubulointerstitial disease (TID), and 6.7% had vascular disease. In our study, focal segmental glomerulosclerosis (FSGS) was the most common PGD (28.9% of all PGD) followed by membranous nephropathy (MN) (19.7%), minimal change disease (MCD) (16.5%), and IgA nephropathy (IgAN) (15.4%). The most common SGD was lupus nephritis (LN) (23%) followed by diabetic nephropathy (DN) (1.99%). In patients aged ≤18 years, MCD was the most common PGD (26.5%) and FSGS was the most common PGD (30%) in patients aged between 19 and 59 years. In the elderly population (age ≥60 years), MN was the most common (38%) PGD. Conclusion: This is the largest study of kidney biopsies patterns from the central part of India, and it presents the combined analysis of the clinical, histopathological, and immunofluorescent features of biopsy-proven kidney diseases in our population.
Modelagem de Logotipos Figurais no Geogebra: uma análise do processo e dos conceitos e habilidades requeridos
Authors: Viana Odalea Aparecida , Alves de Freitas Gabriel Giselle , Da Silva Teixeira Fernanda
Published: November 2022

Este trabalho descreve a experiência obtida em um curso oferecido a professores e estudantes de matemática na forma de uma ação de extensão de uma universidade federal em que se pretendia tratar de aspectos teóricos e práticos da aprendizagem em geometria e da utilização do software Geogebra. Tem-se como objetivo analisar a atividade de modelagem de logotipos figurais que foi aplicada no mencionado curso, identificando: (a) as fases do processo; (b) os níveis de formação conceitual exigidos e (c) as habilidades geométricas requeridas. A coleta de dados baseou-se nas construções e nos protocolos arquivados no Geogebra e nas ações e exposições verbais da ministrante do curso – identificáveis nas videoaulas gravadas. Foram identificadas as fases de interação, de matematização e de modelo matemático, os níveis 2 e 3 de formação conceitual e as habilidades visual, verbal, lógica e gráfica. Considerou-se que a modelagem de logotipos figurais com a utilização do Geogebra pode ser uma prática que auxilie os alunos no desenvolvimento do pensamento e das habilidades geométricas no ensino fundamental e médio.
Da sequela docente à querela epistemológica: o ensinar cansado de uma Geografia enferma
Authors: Bernardes Antonio , Costa Aguiar Felipe , Célia Frigério Regina
Published: November 2022

Assim como qualquer outra área da Ciência, a Epistemologia da Educação Geográfica está em constante renovação. Hora e outra surge alguma nova tendência educacional e a indicação de renovação das bases filosóficas que sustentam a Geografia Escolar. Nesse artigo, pensamos a Epistemologia da Educação Geográfica a partir do adoecimento dos professores de Geografia como impeditivo das realizações existenciais e, como consequência, dos sentidos que os professores atribuem a sua prática. Chegamos à essa consideração por meio da interpretação fenomenológica-hermenêutica de asserções de diferentes autores sobre a Educação Geográfica que, nas generalidades de seus sentidos, corroboram com as metas de formar cidadãos ativos, educar a partir de e para a realidade dos educandos e educar para a transformação. Entretanto, as descrições das condições e organizações do trabalho docente demonstraram que, na prática cotidiana da sala de aula os professores experienciam o adoecimento como impeditivo das realizações pessoais, e da própria Educação Geográfica.
Towards a Smart Multi-Modal Image Registration Process
Authors: Chaabane Marwa , Koller Bruno , Rodriguez Ismael Bouassida
Published: November 2022

The multi-modal image registration is a complex task in the medical domain. This task requires usually several manual interventions by the user/expert of the domain to adjust the image registration parameters properly to the characteristics of the processed image data. For this aim, the user needs to extract the relevant information from the image data and their metainformation. In this paper, we propose a novel architecture for a smart fully automatic multimodal registration process. This architecture is based on a MAPE-K loop inspired by the architecture of autonomous systems.
A Cryptographically Secured Real-Time Peer-to-Peer Multiplayer Framework For Browser WebRTC
Authors: Han Haochen , Sun Yu
Published: November 2022

P2P(peer-to-peer) multiplayer protocols, such as lockstep and rollback net-code, have historically been the cheaper, direct alternative to the Client-Server model. Recent advances in WebRTC technology raise interesting prospects for independent developers to build serverless, P2P multiplayer games on the browser. P2P has several advantages over the Client-Server model in multiplayer games, such as reduced latency, significantly cheaper servers that only handle handshakes, etc. However, as the browser environment does not allow for third-party anti-cheat software, having a secure protocol that catches potential cheaters is crucial. Furthermore, traditional P2P protocols, such as deterministic lockstep, are unusable in the browser environment because different players could be running the game on different browser engines. This paper introduces a framework called Peercraft for P2P WebRTC games with both security and synchronization. We propose two P2P cheat-proofing protocols, Random Authority Shuffle and Speculation-Based State Verification. Both are built on known secure cryptographic primitives. We also propose a time-based synchronization protocol that does not require determinism, Resynchronizing-at-Root, which tolerates desynchronizations due to browser instability while fixing the entire desynchronization chain with only one re-simulation call, greatly improving the browser game’s performance.
Sentiment Classification of Code-Switched Text using Pre-Trained Multilingual Embeddings and Segmentation
Authors: K. Aryal Saurav , Prioleau Howard , Washington Gloria
Published: November 2022

With increasing globalization and immigration, various studies have estimated that about half of the world population is bilingual. Consequently, individuals concurrently use two or more languages or dialects in casual conversational settings. However, most research is natural language processing is focused on monolingual text. To further the work in code-switched sentiment analysis, we propose a multi-step natural language processing algorithm utilizing points of code-switching in mixed text and conduct sentiment analysis around those identified points. The proposed sentiment analysis algorithm uses semantic similarity derived from large pre-trained multilingual models with a handcrafted set of positive and negative words to determine the polarity of code-switched text. The proposed approach outperforms a comparable baseline model by 11.2% for accuracy and 11.64% for F1-score on a Spanish-English dataset. Theoretically, the proposed algorithm can be expanded for sentiment analysis of multiple languages with limited human expertise.
Streaming Punctuation for Long-Form Dictation with Transformers
Authors: Behre Piyush , Tan Sharman , Varadharajan Padma , Chang Shuangyu
Published: November 2022

While speech recognition Word Error Rate (WER) has reached human parity for English, longform dictation scenarios still suffer from segmentation and punctuation problems resulting from irregular pausing patterns or slow speakers. Transformer sequence tagging models are effective at capturing long bi-directional context, which is crucial for automatic punctuation. Automatic Speech Recognition (ASR) production systems, however, are constrained by real-time requirements, making it hard to incorporate the right context when making punctuation decisions. In this paper, we propose a streaming approach for punctuation or re-punctuation of ASR output using dynamic decoding windows and measure its impact on punctuation and segmentation accuracy across scenarios. The new system tackles over-segmentation issues, improving segmentation F0.5-score by 13.9%. Streaming punctuation achieves an average BLEU-score improvement of 0.66 for the downstream task of Machine Translation (MT).
Boundaries and Crossings: Religious Fluidity in Twenty-first Century India
Authors: Davidson Lola Sharon
Published: November 2022

Following Partition, newly independent India adopted a constitution based on secularism and rights for minorities. In recent years, under the Bharatiya Janata Paty government, this model of society has been steadily eroded and supplanted by one favouring Hindu nationalism. This shift has changed the ways in which various religious communities relate to each other as well as their relationship with the state. In this special issue, we examine how these social and political shifts have impacted on the willingness of individuals to engage across religious boundaries and highlight instances of continuing religious cosmopolitanism.
Avaliação e responsabilização: usos e apropriações no sistema municipal de ensino de Mossoró-RN (2010-2015)
Authors: Souza Allan Solano , Silva Ciclene Alves da
Published: November 2022

A política de responsabilidade educacional (PRE) do município de Mossoró-RN incorporou em sua concepção pressupostos da nova gestão pública, tendo como pilares a prestação de contas, avaliação e responsabilização. Neste artigo, objetiva-se analisar usos e apropriações destes dois últimos. Com base na pesquisa qualitativa e análise documental foi realizado um estudo de caso do sistema municipal de educação, além de uma entrevista semiestruturada com um representante da sociedade civil que participou da concepção da nova política educacional. Os resultados revelam que a avaliação é utilizada em processos de premiações material e simbólica, dados que fortalece a responsabilização pela competição administrada e pelo controle de resultados. Conclui-se que esta competição obstrui a livre iniciativa das escolas na concepção de suas próprias políticas, com tarefas burocráticas.
A gestão democrática na utilização dos recursos do Programa Dinheiro Direto na Escola – PDDE
Authors: Silva Aparecido Fernando da , Felix Luciana Esther da Silva , Costa Michel Da , Tavares Elisabeth Dos Santos
Published: November 2022

A presente investigação é de cunho qualitativo tendo o objetivo de compreender a relação presente na gestão democrática da escola quanto à utilização de recursos públicos, nomeadamente, o Programa Dinheiro Direto na Escola-PDDE. O grupo pesquisado foi constituído por 20 diretores de escolas públicas, da Região Metropolitana da Baixada Santista, formada por nove município, tendo como instrumentos de coleta o questionário e a entrevista semiestruturada. A análise levou à compreensão dos critérios de utilização das verbas e das principais dificuldades enfrentadas no cotidiano da escola por parte da gestão, apontando para o fato de que quanto maior a descentralização financeira, mais viável a democratização na escola.
Resistências pela participação democrática na escola pública: experiências da Rede Estadual Paulista
Authors: Alencar Felipe , Perrella Cileda Dos Santos Sant'Anna
Published: November 2022

Diante das intensas insatisfações de educadores(as) à política educacional do governo paulista, em 2018 foi constituído o Grupo Escola Pública e Democracia (Gepud), que conta com a participação de educadores e estudantes como espaço de soma de forças, de reflexão, análise crítica da conjuntura na perspectiva de traçarem conjuntamente ações de resistência, visando a garantia do direito à educação de qualidade da escola pública, laica, gratuita pautada pelo princípio constitucional da gestão democrática. O Gepud é o objeto de análise nesse texto, com o objetivo de apresentar e discutir nuances de sua história, por meio de pesquisa qualitativa e análise documental de pesquisa-ação. O grupo tem se constituído como espaço de acolhimento, construção coletiva, participação e aprendizagens de práticas democráticas, onde se apropriam criticamente e se resiste às políticas educacionais pautadas no gerencialismo fortalecendo a relação escola e universidade.
CLINICAL AND RADIOLOGICAL CHARACTERISTICS OF COMMUNITY-ACQUIRED PNEUMONIA IN MILITARY CONSCRIPTS
Authors:   432 Orders of the Red Star Main Military Medical Center of the Armed Forces of the Republic of Belarus, S.E. Fedorov , E.I. Davidovskay ,   Republican Scientific and Practical Center for Pulmonology and Phthisiology, T.N. Glinskaya ,   Republican Scientific and Practical Center for Pulmonology and Phthisiology, L.S. Bohush ,   Republican Scientific and Practical Center for Pulmonology and Phthisiology, D.P. Krivonos ,   432 Orders of the Red Star Main Military Medical Center of the Armed Forces of the Republic of Belarus
Published: November 2022

The article presents the data of a retrospective analysis of 294 medical histories with community-acquired pneumonia in conscripts, among whom the military personnel of the first 6 months of service prevailed. The analysis of socio-demographic factors, complaints, anamnestic and clinical-radiological data was carried out.
Numerical Analysis of Potential Contaminant Migration from Abandoned In Situ Coal Conversion Reactors
Authors: Otto Christopher , Steding Svenja , Tranter Morgan , Gorka Torsten , Hámor-Vidó Mária , Basa Wioleta , Kapusta Krzysztof , Kalmár István , Kempka Thomas
Published: November 2022

Abstract. In the context of a potential utilisation of coal resources located in the Mecsek mountain area in Southern Hungary, an assessment of groundwater pollution resulting from a potential water-borne contaminant pool remaining in in situ coal conversion reactors after site abandonment has been undertaken in the scope of the present study. The respective contaminants may be of organic and inorganic nature.
A sensitivity analysis was carried out by means of numerical simulations of fluid flow as well as contaminant and heat transport including retardation to assess spatial contaminant migration. Hereby, the main uncertainties, e.g., changes in hydraulic gradient and hydraulic contributions of the complex regional and local fault systems in the study area, were assessed in a deterministic way to identify the relevant parameters.
Overall 512 simulations of potential groundwater contamination scenarios within a time horizon exceeding the local post-operational monitoring period were performed, based on maximum contaminant concentrations, cumulative mass balances as well as migration distances of the contaminant plume. The simulation results show that regional faults represent the main contaminant migration pathway, and that contamination is unlikely assuming the given reference model parametrisation.
However, contamination within a simulation time of 50 years is possible for specific geological conditions, e.g., if the hydraulic conductivity of the regional faults exceeds a maximum value of
1 × 10−5 m s−1.
Further, the parameter data analysis shows that freshwater aquifer contamination is highly non-linear and has a bimodal distribution. The bivariate correlation coefficient heatmap shows slightly positive correlations for the pressure difference, the fault permeability and the simulation time, as well as a negative correlation for the retardation coefficient.
The results of this sensitivity analysis have been integrated into a specific toolkit for risk assessment for that purpose.
A CO2-independent cloud mask from Infrared Atmospheric Sounding Interferometer (IASI) radiances for climate applications
Authors: Whitburn Simon , Clarisse Lieven , Crapeau Marc , August Thomas , Hultberg Tim , Coheur Pierre François , Clerbaux Cathy
Published: November 2022

Abstract. With more than 15 years of continuous and consistent measurements, the Infrared Atmospheric Sounding Interferometer (IASI) radiance dataset is becoming a reference climate data record. To be exploited to its full potential, it requires a cloud filter that is accurate, unbiased over the full IASI life span and strict enough to be used in satellite data retrieval schemes.
Here, we present a new cloud detection algorithm which combines (1) a high sensitivity, (2) a good consistency over the whole IASI time series and between the different copies of the instrument flying on board the suite of Metop satellites, and (3) simplicity in its parametrization.
The method is based on a supervised neural network (NN) and relies, as input parameters, on the IASI radiance measurements only. The robustness of the cloud mask over time is ensured in particular by avoiding the IASI channels that are influenced by CO2, N2O, CH4, CFC-11 and CFC-12 absorption lines and those corresponding to the ν2 H2O absorption band. As a reference dataset for the training, version 6.5 of the operational IASI Level 2 (L2) cloud product is used.
We provide different illustrations of the NN cloud product, including comparisons with other existing products. We find very good agreement overall with version 6.5 of the operational IASI L2 with an identical mean annual cloud amount and a pixel-by-pixel correspondence of about 87 %. The comparison with the other cloud products shows a good correspondence in the main cloud regimes but with sometimes large differences in the mean cloud amount (up to 10 %) due to the specificities of each of the different products.
We also show the good capability of the NN product to differentiate clouds from dust plumes.
Diurnal carbon monoxide observed from a geostationary infrared hyperspectral sounder: First result from GIIRS onboard FY-4B
Authors: Zeng Zhao-Cheng , Lee Lu , Qi Chengli
Published: November 2022

Abstract. The Geostationary Interferometric Infrared Sounder (GIIRS) onboard FengYun-4 series satellites is the world’s first geostationary hyperspectral infrared sounder. With hyperspectral measurement covering the carbon monoxide (CO) absorption window around 2150 cm-1, GIIRS provides a unique opportunity for monitoring the diurnal variabilities of atmospheric CO over East Asia. In this study, we develop the FengYun Geostationary satellite Atmospheric Infrared Retrieval (FY-GeoAIR) algorithm to retrieve the CO profiles from FY-4B/GIIRS data and provide CO maps at a spatial resolution of 12 km and a temporal resolution of 2 hours. The performance of the algorithm is first evaluated by conducting retrieval experiments using simulated synthetic spectra. The result shows that the GIIRS data provide significant information for constraining CO profiles. The degree of freedom for signal (DOFS) and retrieval error are both significantly correlated with thermal contrast (TC), the temperature difference between the surface and the lower atmosphere. Retrieval results from one month of GIIRS spectra in July 2022 show that the DOFS for the majority is between 0.6 and 1.2 for the CO total column and between 0 and 0.25 for the bottom 0–1 km layer. Consistent with CO retrievals from low-earth-orbit (LEO) infrared sounders, the largest observation sensitivity, as quantified by the averaging kernel (AK), is in the free troposphere at around 3–6 km. The diurnal changes in DOFS and vertical sensitivity of observation are primarily driven by the diurnal TC variabilities. Finally, we compare the CO total columns between GIIRS and IASI and find that the two datasets show good consistency in capturing the daily variabilities. This study demonstrates the capability of GIIRS in observing the diurnal CO changes in East Asia, which will have great potential in improving local and global air quality and climate research.
Passive Tracer Modelling at Super-Resolution with WRF-ARW to Assess Mass-Balance Schemes
Authors: Fathi Sepehr , Gordon Mark , Chen Yongsheng
Published: November 2022

Abstract. Accurate "super-resolution'' (Δx < 250 m) atmospheric modelling is useful for several different sectors (e.g., renewable energy, natural disaster prediction), and essential for numerous applications such as downscaling of weather and climate information to finer resolutions. It can also be used to interpret environmental observations during top-down retrieval campaigns by providing complementary data that closely correspond to real-world atmospheric pollution transport and dispersion conditions. In top-down retrievals (e.g., aircraft-based), errors in estimates can arise from assumptions about atmospheric dispersion conditions, uncertainties in measurements, and data processing. As discussed in this work and in our companion paper (Fathi and Gordon, 2022), super-resolution numerical model simulations can be utilized to investigate these sources of uncertainty and optimize the retrievals. In order to conduct a thorough model-based study of the atmospheric dynamical processes that can affect top-down retrievals, model simulations at super-resolutions on the scale of measurement frequency are required: sufficient to resolve the dynamical and turbulent processes at the scale at which measurements are conducted. Here, in the context of our modelling case studies with WRF, we demonstrate a series of best practices for improved (realistic) modelling of atmospheric pollutant dispersion at super-resolutions. These include careful considerations for grid quality over complex terrain, sub-grid TKE parameterization at the scale of large eddies, and ensuring local and global tracer mass-conservation. For this work, super-resolution (Δx ≤ 100 m, Δt ≤ 1 s) model simulations with Large-Eddy-Simulation sub-grid scale parameterization were developed and implemented using WRF-ARW. The objective was to resolve small dynamical processes inclusive of spatio-temporal scales of high-speed (e.g., 100 m/s) airborne measurements. This was achieved by down-scaling of reanalysis data from 31.25 km to 50 m through multi-domain model nesting in the horizontal and grid-refining in the vertical. Further, WRF dynamical-solver source code was modified to simulate passive-tracer emissions within the finest resolution domain. Different meteorological case studies and several tracer emission sources were considered. Model-generated fields were evaluated against observational data and also in terms of tracer mass-conservation. Results indicated model performance within 5 % of observational data in terms of sea level pressure, temperature and humidity, and agreement within one standard deviation between modelled and observed wind fields. Model performance in terms of tracer mass conservation was within 2 % to 5 % of model input emissions.
Scenario–based Modelling of Waves Generated by Sublacustrine Explosive Eruptions at Lake Taupō, New Zealand
Authors: Hayward Matthew W. , Lane Emily M. , Whittaker Colin N. , Leonard Graham S. , Power William L.
Published: November 2022

Abstract. Volcanogenic tsunami and wave hazard remains less understood than that of other tsunami sources. Volcanoes can generate waves in a multitude of ways, including subaqueous explosions. Recent events, including a highly explosive eruption at Hunga Tonga-Hunga Ha'apai and subsequent tsunami in January 2022, have reinforced the necessity to explore and quantify volcanic tsunami sources. We utilise a non-hydrostatic multilayer numerical method to simulate 20 scenarios of sublacustrine explosive eruptions under Lake Taupō, New Zealand, across five locations and four eruption sizes. Waves propagate around the entire lake within 15 minutes, and there is a minimum explosive size required to generate significant waves (positive amplitudes incident on foreshore of >1 m) from the impulsive displacement of water from the eruption itself. This corresponds to a mass eruption rate of 5.8x107 kg s-1, or VEI (Volcanic Explosivity Index) 5 equivalent. Inundation is mapped across five built areas and becomes significant near shore when considering only the two largest sizes, above VEI 5, which preferentially impact areas of low-gradient run-up. In addition, novel hydrographic output is produced showing the impact of incident waves on the Waikato river inlet draining the lake, and is potentially useful for future structural impact analysis. Waves generated from these explosive source types are highly dispersive, resulting in hazard rapidly diminishing with distance from the source. With improved computational efficiency, a probabilistic study could be formulated and other, potentially more significant, volcanic source mechanisms should be investigated.
Stable isotope (δ18O, δ2H) signature of river runoff, groundwater, and precipitation in three river basins in the center of East European Plain
Authors: Chizhova Julia , Kireeva Maria , Rets Ekaterina , Ekaykin Alexey , Kozachek Anna , Veres Arina , Zolina Olga , Varentsova Natalia , Gorbarenko Artem , Povalyaev Nikita , Plotnikova Valentina , Samsonov Timofey , Kharlamov Maxim
Published: November 2022

Abstract. Empirical study of the isotopic features of river runoff were conducted at three hydrological posts in three different river basins: the Zakza river in the center of East European Plane (southwest of Moscow), the Dubna river (north of Moscow) and the Sosna Bystraya river in the south of central region. Samples of river water, groundwater, and precipitation for the October 2019–October 2021 were collected at weekly intervals. At total 332 samples of river water, 275 samples of groundwater and 194 samples of precipitation were collected. Precipitation was collected as an integral sample of all precipitation fallen during the week before sampling date. For each precipitation samples, the total amount of precipitation and air temperature, weighted by precipitation amount, are given according to weather station in river basin. During the observation period, there were two completely different conditions in terms of runoff formation. First, from October 2019 to October 2020, there was an unusually low spring freshet followed by a big rain flood in July. From October 2020–October 2021, there was a normal intra-annual flow pattern with high spring freshet. A significant supply of melted snow during spring freshet is the key factor influencing water regimes in these three river basins; varying degrees of anthropogenic flow regulation are also present. The new height frequency and complete data of stable isotope signature of river runoff component can help to study the response of a river runoff to climate change.
Geophysical evidence of massive hyperconcentrated push waves with embedded toma hills caused by the Flims rockslide, Switzerland
Authors: Knapp Sibylle , Schwenk Michael , Krautblatter Michael
Published: November 2022

Abstract. Rockslides and rock avalanches are amongst the most destructive natural hazards in the alpine environment. The Flims rockslide is the largest known rock-slope failure in the Alps, which provides excellent outcrops and has fascinated researchers since the early 20th century. The postulated impact of the Flims rockslide on Lake Bonaduz caused intensely fluidized rock material, which formed the Bonaduz Formation and toma hills, probably accompanied by a catastrophic impact wave. So far, this hypothesized sequence of events is based only on sedimentological and geomorphic analyses. We present electrical resistivity tomography (ERT) profiles, which we correlated with the sedimentological information obtained from outcrops and drill logs. Here, geophysical evidence on a metre and
decametre scale complements prior outcrop and sample intervals with much
smaller representativeness. Our study provides new insights into the
distribution, thickness, and internal structure of the Bonaduz Formation
and the toma hills as well as other flood deposits around the Ils Aults,
where we studied the sediment to a depth of up to 160 m. There is
geophysical evidence that the Bonaduz Formation formed an onlap onto the Ils Aults and is thus the stratigraphically younger unit. The toma hills consist of blocky cores with an agglomeration of smaller mixed sediments, which drift and override the toma core, causing their smoothly shaped top. We consider simultaneous transport of the hills within the Bonaduz Formation but a slightly slower movement at the front due to a bulldozing effect. This study contributes to an improved understanding of (i) the complex stratigraphical context of the Tamins and Flims deposits, (ii) water-rich entrainment in rock avalanches, and (iii) the genesis and transport of toma hills.
Development of an LSTM broadcasting deep-learning framework for regional air pollution forecast improvement
Authors: Sun Haochen , Fung Jimmy C. H. , Chen Yiang , Li Zhenning , Yuan Dehao , Chen Wanying , Lu Xingcheng
Published: November 2022

Abstract. Deep-learning frameworks can effectively forecast the air pollution data for individual stations by decoding time series data. However, most of the existing time-series-based deep-learning models use offline spatial interpolation strategies and thus cannot reliably project the station-based forecast to the spatial region of interest. In this study, the station-based long short-term memory (LSTM) technique was extended for spatial air quality forecasting by combining a novel deep-learning layer, termed the broadcasting layer, which incorporates a learnable weight decay
parameter designed for point-to-area extension. Unlike most existing
deep-learning-based methods that isolate the interpolation from the model
training process, the proposed end-to-end LSTM broadcasting framework can
consider the temporal characteristics of the time series and spatial relationships among different stations. To validate the proposed deep-learning framework, PM2.5 and O3 forecasts for the next 48 h were obtained using 3D chemical transport model simulation results and ground observation data as the inputs. The root mean square error associated with the proposed framework was 40 % and 20 % lower than those of the Weather Research and Forecasting–Community Multiscale Air Quality model and an offline combination of the deep-learning and spatial interpolation methods, respectively. The novel LSTM broadcasting framework can be extended for air pollution forecasting in other regions of interest.
Formulation, optimization and sensitivity of NitrOMZv1.0, a biogeochemical model of the nitrogen cycle in oceanic oxygen minimum zones
Authors: Bianchi Daniele , McCoy Daniel , Yang Simon
Published: November 2022

Abstract. Nitrogen (N) plays a central role in marine biogeochemistry by limiting biological productivity in the surface ocean, in- ﬂuencing the cycles of other nutrients, carbon, and oxygen, and controlling oceanic emissions of nitrous oxide (N2O) to the atmosphere. Multiple chemical forms of N are linked together in a dynamic N cycle that is especially active in oxygen minimum zones (OMZs), where high organic matter remineralization and low oxygen concentrations fuel aerobic and anaerobic N transformations. Biogeochemical models used to understand the oceanic N cycle and project its change often employ simple parameterizations of the network of N transformations and omit key intermediary tracers such as nitrite (NO2-) and N2O. Here we present a new model of the oceanic N cycle (Nitrogen cycling in Oxygen Minimum Zones, or NitrOMZ) that resolves N transformation occurring within OMZs, and their sensitivity to environmental drivers. The model is designed to be easily coupled to current ocean biogeochemical models by representing the major forms of N as prognostic tracers, and parameter- izing their transformations as a function of seawater chemistry and organic matter remineralization, with minimal interference with other elemental cycles. We describe the model rationale, formulation, and numerical implementation in a one-dimensional representation of the water column that reproduces typical OMZ conditions. We further detail the optimization of uncertain model parameters against observations from the Eastern Tropical South Paciﬁc OMZ, and evaluate the model ability to reproduce observed proﬁles of N tracers and transformation rates in this region. We conclude by describing the model sensitivity to parameter choices and environmental factors, and discussing the model suitability for ocean biogeochemical studies.