bluuebunny/crossref_metadata_2025 huggingface dataset:
GAMBARAN KARAKTERISTIK DAN PENGETAHUAN PENDERITA DIABETES MELITUS TIPE 2 DIPUSKESMAS SULI KABUPATEN LUWU
Authors: Esse Puji Pawenrusi  , Kamariana  , Suci Amalia Jumade
Published: June 2023

Diabetes adalah penyakit metabolik kronis yang disebabkan oleh kurangnya insulin yang diproduksi oleh pankreas atau ketidakmampuan tubuh untuk menggunakan insulin yang diproduksi secara efektif, yang menyebabkan peningkatan konsentrasiglukosa darah (hiperglikemia).Diabetes yang paling umum di masyarakat adalah diabetes tipe 2.Penelitian ini bertujuan untuk mengetahui karakteristik dan tingkat pengetahuan penderita Diabetes Melitus Tipe 2 di Puskesmas Suli Kabupaten Luwu.

Metode penelitan ini menggunakan analisis deskriptif. Sampel dalam penelitian ini diambil dari populasi penderita Diabetes Melitustipe 2 di Puskesmas Suli sebanyak 84 responden. Pengambilan sampel dilakukan dengan menggunakan tehnik Exhaustic Samplingdimana jumlah sampel sama dengan populasi.

Hasil penelitian menunjukkan bahwa dari 84 responden dengan karakteristik umur paling banyak 45-53 sebanyak 30orang (35,7%),jenis kelamin paling banyak  perempuan sebanyak 57 0rang (67,9%), pendidikan paling banyak SMP sebanyak 29 orang (34,5%), pekerjaan paling banyak IRT sebanyak 54 banyak (64,3%), dan pengetahuan paling banyak kategori  kurang sebanyak 49 orang (58,3%) .

Simpulan dari hasil penelitian Karakteristik umur paling banyak  umur 45-53 tahun. Karakteristik  jenis kelamin yang paling banyak perempuan. Karakteristik Pendidikan paling banyak SMP. Karakteristik Pekerjaan yang paling banyak  pekerjaan sebagai IRT. Pengetahuan yang paling banyak yaitu kategori  kurang . Saran  diharapkan petugas puskesmas agar lebih meningkatkan penyuluhan terkait Diabetes Melitus guna meningkatkan pengetahuan penderita. Diharapkan penderita Diabetes Melitus tipe 2 diPuskesmas Suli agar lebih mencaritahu informasi tentang Diabetes Melitus.
Penerapan Manajemen Bersihan Jalan Nafas Tidak Efektif Sebagai Terapi Kepatenan Jalan Nafas Pada Pasien Dengan Penyakit Pneumonia Di Ruang Instalasi Gawat Darurat Rs TK II Pelamonia
Authors: Thalib Abdul Hermansyah , St. Arisah
Published: June 2023

Latar Belakang : Pneumonia merupakan penyakit infeksi yang menyerang radang paru-paru hingga menyebabkan seseorang mengalami gangguan pada pernafasannya. Secara umum penyakit pneumonia dapat menyebabkan kematian. Tujuan : studi kasus ini untuk mengetahui apakah dengan manajemen yang diberikan seperti pemberian oksigenasi, terapi batuk efektif, dan terapi nebulizer efektif untuk diberikan kepada pasien di RS TK II Pelamonia. Metode Studi Kasus : pada penelitian ini menggunakan metode deskriftif dengan lembar observasi. Hasil Studi Kasus : setelah dilakukan penelitian selama 3 hari berturut-turut diperoleh hasil dari responden 1 dan responden 2 bahwa pernafasan kembali membaik dengan tidak adanya hambatan dalam pernafasan. Kesimpulan : setelah dilakukan studi kasus dapat disimpulkan bahwa penerapan manajemen bersihan jalan nafas efektif untuk melonggarkan jalan nafas kembali paten.
Neural Fake Det Net - Detection and Classification of AI Generated Fake News
Authors: Sawant Poorva
Published: June 2023

Unreliable and deceiving information is spreading at a great speed these days across the world through social media sources. Fake news is a growing problem in our modern society, and it has become increasingly difficult to distinguish between real and fake news due to the advancement of technology. Fake or misinformation about the latest CORONA pandemic wreaked havoc. Studies conducted during the epidemic COVID that false news might have menaced public health broadly. Detecting and averting the spread of unreliable media content is a delicate problem, especially given the rate at which news can spread online. With the increase in the use of social media platforms; the leading cause for spreading such news can be that fake news can be published and propagated online faster and is also cheaper when compared to traditional news media such as newspapers and television. Online fake news or information which is deliberately designed to deceive readers is mostly commonly manually written; but with the recent progress in natural language generation techniques, models have been built to generate realistic looking Ã¢â‚¬ËœFake newsÃ¢â‚¬â„¢. With the explosion of large language models fake news can be easily created and with proper grammar and sentences. This creates a greater need to handle the fake news identification problem in a different way to not just classify the fake and real news, but also to mark the human-generated and machine-generated (neural) fake news. Considering most of the work that is done in this research area, it is found that only the very complex language models that are used as generators and detectors are able to catch the machine generated fake news. Again, such models have been observed to be performing well on their own generated text, but not quite effective while working with text from other language models. Also, they donÃ¢â‚¬â„¢t seem to be tested on the human generated fake news. Now if someone uses the language model to generate the news and then change a few elements manually to make it look more real; this kind of fake news might go completely undetected by such models. So, there is a considerable scope to further study and analyze the difference as well as similarities in the human and machine fake news. This study looks at the problem of machine-generated fake news classification as more of a comparative analysis of Human Vs Machine Generated fake news and identify the differences or similarities of the patterns.
Analyzing Emotional Contagion in Commit Messages of Open-Source Software Repositories
Authors: Dhakad Rashmi , Benedicenti Luigi
Published: June 2023

For more than a decade scientist have focused on the emotions of software developers in order to understand emotion's impact on their productivity, creativity, and quality of work. In modern time, there is a sharp rise in open-source software collaborations and software development models that are globally distributed. A crucial aspect of these collaborations is the affect of emotional contagion. Emotional contagion is a phenomenon of transfer of one's affective state to another. In this research study, we follow through previously established research and build on it how emotional contagion happens in large opensource software development. We further establish how emotional contagion happens during different time and how it affects the overall development process.
Edge Computing: Data Sharing and Intelligence
Authors: Alaverdyan Yeghisabet , Poghosyan Suren , Poghosyans Vahagn
Published: June 2023

"The paper introduces certain timely and secure computing approaches that affect data intelligence related to methods and tools for real-time information processing. Timely solutions are achieved using local premises rather than supporting centralized servers or clouds. Computing within the network partly occurs near the physical endpoints, and this is where the edge computing paradigm comes in to help. The proposed method of the cloud optimization suggests splitting and sharing data between network data centers and local computing power. Provision of distinct paths between edge and main cloud for each smart device is achieved using separate blockchain which register and store the logical links of hierarchical data. Methods for cryptographic key splitting between the edge and the main cloud, as well as strong authentication ensuring the shared data confidentiality, integrity, availability, and consistency are also given.
A Study on DID and CP-ABE-Based Selfsovereign Identity of Smart Vehicles
Authors: Kim Taehoon , Lee Im-Yeong
Published: June 2023

In existing smart vehicles, vehicle owners must secure self-sovereignty for authentication. To this end, Holders in DID (Decentralized Identifier) do not rely on traditional IdM (Identity Management), but control their identity data and authenticate their credentials with Verifiers. However, for the Verifier to authenticate the Holder, there is a situation where additional data other than the VP is required, and this is because the DID based on data access control is transmitted in a general encryption scheme, causing detailed access control problems and inefficiency problems. Study on CP-ABE (Ciphertext Policy Attribute-Based Encryption)-based data access control schemes in the DID is being actively conducted to solve this problem. However, existing schemes on DID-based CP-ABE generate various security threats. This paper proposes a study on DID and CP-ABE-based self-sovereign identity of smart vehicles.
Altruistic ASD (Autism Spectrum Disorder) Virtual Reality Game Assisting Neurotypicals Understanding of Autistic People
Authors: Alshalan Taraf , Alamri Ghala , Alabullhafith Maali
Published: June 2023

Autism spectrum disorder is a developmental disability that can cause significant social, communication and behavioural challenges. Parents of children on the spectrum find it difficult for their kids to communicate with them and other people, which makes it challenging for social interactions. Researchers have introduced different solutions such as Therapy Robot that Teaches Social Skills to Children with Autism. Additionally, Virtual reality was used to teach emotional and social skills to children with autism spectrum disorder. However, these solutions focus only on the person on the spectrum, neglecting the fact that the social challenges that people on the spectrum face are partly due to the lack of understanding on the neurotypicals' end. In this study, the solution introduced focuses on the neurotypical perspective; An advanced and interactive intelligent technology that can educate neurotypical people on how to communicate with people on the spectrum in different scenarios and environments. It also allows the learner to see the consequences of the different interactions from the point of view of a person on the spectrum, be aware of their actions, and fully engage in the scenarios through Virtual Reality (VR). Virtual Reality is a technology that simulates experiences that can be similar to the real world. The project objective was achieved by implementing a storyline game that is VR-based
A Multi-Factor Certificateless Authenticated Key Agreement Protocol on ECC
Authors: Tang Jin , Wang Xiaofeng
Published: June 2023

Key negotiation can establish a shared key between two or even multiple parties in a public networkenvironment, ensuring communication confidentiality and integrity. Certificateless public key cryptography(CL-PKC) aims to achieve succinct public key management without using certificates, while avoiding thekey escrow property in identity-based cryptography. As an important part of CL-PKC, certificateless authentication key agreement (CLAKA) has also received widespread attention. Most CLAKA protocols are constructed from bilinear mappings on elliptic curves which need costly operations. To improve theperformance, some pairing-free CLAKA protocols have been proposed. In this paper, we propose a multifactor authentication CLAKA protocol that can achieve local authentication factors joint unlocking. Theprotocol does not require bilinear pairing computation and has been proven to be secure under the mBRmodel.
Analyzing Online Media Articles on Diabetes using Natural Language Processing: A Comparative Study of Indian Ocean Region and France
Authors: Toofanee Mohammud Shaad Ally , Pooloo Nabeelah Zainab Ally , Dowlut Sabeena , Tamine Karim , Sauveron Damien
Published: June 2023

Background: Diabetes is a global health concern affecting millions of people worldwide. However, knowledge, attitudes, and practices related to this disease vary widely across different regions. This article aims to investigate mediainfluenced perceptions about diabetes in France and the Indian Ocean countries using natural language processing (NLP) techniques applied to online news articles. Findings aims to provide expert in Health Literacy (HL) and health promotion to develop better communication strategies. Method: Constitute a datatset of Online news articles on Diabetes and apply NLP like Word2Vec for word integration, LDA for topic identification, and transformer-based classification models (e.g., BERT and its variants) for sentiment analysis. processing (NLP). Results: Sentiment analysis revealed more negative discussions about diabetes in the Indian Ocean region (48%) compared to France (32%), with neutral articles dominating in France (42%). In terms of topic Identification there were some topic which appeared for France which were not present for indian ocean region. Discussions: The findings of this study indicate that perceptions and discussions about diabetes differ between two regions, which have implications for public health interventions and communication strategies. However, the study is limited by the initial amount of information captured for analysis.
Enhancing Sales Determination for Coffee Shop Packages through Associated Data Mining: Leveraging the FP-Growth Algorithm
Authors: Wahyuningsih Wahyuningsih , Prasetyaningrum Putri Taqwa
Published: June 2023

The coffee shop business offers a diverse range of coffee and food options. However, customers often experience delays during transactions due to the extensive selection of menu items and combinations. This inconvenience not only discomforts new customers but also hampers their likelihood of returning, potentially impacting the overall business turnover. To address this issue, this study aims to establish association rules by combining the least and most popular menu items for the upcoming month. These rules will serve as a guideline for creating shopping packages that streamline the decision-making process. The FP-Growth algorithm is employed to analyze sales transaction data from January to March 2023, comprising 2,336 transactions in .csv format. Among the generated association rules, two rules stand out with the highest support and confidence values. The first rule exhibits a support value of 0.3% and a confidence of 70.0%, while the second rule showcases a support value of 0.4% and a confidence of 69.2%. By considering these two rules alongside the existing menu options, coffee shop owners can effectively curate shopping packages that cater to customer preferences. It is anticipated that these packages will elevate the quality of service, attract a greater number of customers, and subsequently enhance the overall business turnover.
Penal system: current state and possible directions of development
Authors: Грушин Ф.В. , Павлова Л.В.
Published: June 2023

В статье рассматриваются проблемные вопросы, возникшие в деятельности уголов- но-исполнительной системы Российской Федерации в настоящее время. Целями научного исследования стали анализ некоторых аспектов современного состояния уголов- но-исполнительной системы и предложение вариантов решения ряда существующих проблем. Науч- ная значимость работы состоит в теоретико-правовом анализе современного состояния отечественной системы исполнения наказаний. Практическая значимость заключается в разработке предложений, позволяющих повысить эффективность деятельности учреждений, исполняющих наказания. Методы исследования: историко-правовой, сравнительно-правовой, формально-юридический, конкретно-со- циологический и другие. В результате исследования отмечено, что для уголовно-исполнительной системы Российской Фе- дерации проблемой является существенное сокращение количества осужденных в местах лишения свободы, при этом полномочия учреждений, исполняющих наказания, альтернативные лишению свободы, постоянно расширяются, появляются новые функции, требующие совершенствования их деятельности, увеличения штатной численности; отсутствует надгосударственный институт, обеспе- чивающий защиту прав и свобод осужденных, а также подозреваемых и обвиняемых. Также авторы предлагают рассмотреть возможность создания новой объективной национально-ориентированной международной правозащитной организации. Данная научная работа может внести определенный вклад в развитие уголовно-исполнительной системы и уголовно-исполнительной политики Российской Федерации.

The article deals with problematic issues that have arisen in the operation of the penal system of the Russian Federation at the present time. The purpose of the scientific study was to analyze some aspects of the current state of the penal system and offer options for solving a number of existing problems. The scientific significance of the work lies in the theoretical and legal analysis of the current state of the domestic system of execution of punishments. The practical significance lies in the development of proposals to improve the efficiency of the institutions that execute punishment. Research methods: historical and legal, comparative legal, formal legal, concrete sociological, etc. As a result of the study, it was noted that for the penal system of the Russian Federation, the problem is a significant reduction in the number of convicts in places of deprivation of liberty, while the powers of institutions executing punishments alternative to imprisonment are constantly expanding, new functions appear that require the improvement of their activities, an increase in staffing; there is no supranational institution that ensures the protection of the rights and freedoms of convicts, as well as suspects and accused. The authors propose to consider the possibility of creating a new objective national-oriented international human rights organization. This scientific work can make a certain contribution to the development of the penal system and the penal policy of the Russian Federation.
PREVALÊNCIA DE LESÕES NA COLUNA VERTEBRAL EM PRATICANTES DE VOLEIBOL
Authors: Feitosa Carolina Elizabeth Bezerra , Andrade Fabiana do Valle de , Nascimento Fernanda Mizue Kuriyama do , Monteiro Geilson Nascimento , Pessoa Natália Farias , Vieira Raquel de Carvalho , Santos Dennys Ricardo Duarte dos
Published: June 2023

Na prática do voleibol, assim como em todo esporte, certos movimentos repetitivos e a sobrecarga exigida causa um processo de adaptação orgânica corporal que pode resultar em desequilíbrios musculares. Agregado a isso, erros na execução técnica de alguns movimentos podem acarretar alterações posturais e, futuramente, ocasionar lesões sérias. Este estudo tem como objetivo apresentar as principais lesões na coluna vertebral em praticantes de voleibol. Trata-se de um estudo de revisão de literatura narrativa, onde os artigos foram encontrados nas seguintes bases de dados: SCIELO, LILACS, PUBMED e Google Acadêmico. Foram selecionados 6 artigos que preenchiam os critérios de inclusão deste estudo. Os estudos destacaram que as lesões mais prevalentes foram subluxações, hérnia discal e desvios laterais na região cervical. Foi possível chegar à conclusão que há uma determinada prevalência de lesões na coluna vertebral em praticantes de voleibol. A importância dos treinos é extrema, tendo em vista que é onde deve ocorrer a prevenção de lesões.
Validation of the geostrophic approximation using ERA5 and the potential of long-term radio occultation data for supporting wind field monitoring
Authors: Nimac Irena , Danzer Julia , Kirchengast Gottfried
Published: June 2023

Abstract. Global long-term stable wind fields are valuable information for climate analyses of atmospheric dynamics. Their monitoring remains a challenging task, given shortcomings of available observations. One promising option for progress is the use of radio occultation (RO) satellite data, based on which the winds are estimated using the geostrophic approximation. Hence, in this study we focus on two goals, explored through European Re-Analysis ERA5 and RO datasets, using monthly-mean January and July data over 2007–2020 with a 2.5° × 2.5° resolution. First, we compare actual and geostrophic ERA5 wind speeds to evaluate the validity of the geostrophic approximation. Second, we test how well ERA5 and RO geostrophic winds agree. We find the geostrophic approximation to work well within 2 m s-1 accuracy almost globally (5°–85° latitude), especially over the summer hemisphere; larger differences (more than 5 m s-1) may occur in the winter stratosphere. We noticed the effect of large mountain ranges on the wind flow as a wave-like pattern, also in the difference between RO and ERA5 geostrophic winds, pointing to effects of different geopotential height estimations. Generally, RO and ERA5 geostrophic winds showed very good agreement. In the long-term, systematic differences in decadal trends of higher than 0.5 m s-1 per decade were found at subtropical latitudes, mainly related to observing system changes in the year 2016 that influenced ERA5. Together with the validity of the geostrophic approximation, this indicates that the long-term stability of RO-derived wind field monitoring can provide added value to reanalysis winds, for the benefit of climate monitoring and analyses.
Statistical modeling of the space–time relation between wind and significant wave height
Authors: Obakrim Said , Ailliot Pierre , Monbet Valérie , Raillard Nicolas
Published: June 2023

Abstract. Many marine activities, such as designing ocean structures and planning marine operations, require the characterization of sea-state climate. This study investigates the statistical relationship between wind and sea states, considering its spatiotemporal behavior. A transfer function is established between wind fields over the North Atlantic (predictors) and the significant wave height (predictand) at three locations: southwest of the French
coast (Gironde), the English Channel, and the Gulf of Maine. The developed method considers both wind seas and swells by including local and global predictors. Using a fully data-driven approach, the global predictors' spatiotemporal structure is defined to account for the non-local and non-instantaneous relationship between wind and waves. Weather types are constructed using a regression-guided clustering method, and the resulting clusters correspond to different wave systems (swells and wind seas). Then, in each weather type, a penalized linear regression model is fitted between the predictor and the predictand. The validation analysis proves the models skill in predicting the significant wave height, with a root mean square error of approximately 0.3 m in the three considered locations. Additionally, the study discusses the physical insights underlying the proposed method.
The atmospheric fate of 1,2-Dibromo-4-(1,2-dibromoethyl)cyclohexane (TBECH): Spatial patterns, seasonal variability, and deposition to Canadian coastal regions
Authors: Oh Jenny , Shunthirasingham Chubashini , Lei Ying Duan , Zhan Faqiang , Li Yuening , Dalpé Castilloux Abigaëlle , Ben Chaaben Amina , Lu Zhe , Lee Kelsey , Gobas Frank A. P. C. , Eckhardt Sabine , Alexandrou Nick , Hung Hayley , Wania Frank
Published: June 2023

Abstract. Brominated flame retardants (BFRs) that are gradually phased out are being replaced by emerging BFRs. Here, we report the concentration of the α- and β-isomers of 1,2-Dibromo-4-(1,2-dibromoethyl) cyclo–hexane (TBECH) in over 300 air, water, and precipitation samples collected between 2019 and 2022 using active air and deposition sampling as well as networks of passive air and water samplers. The sampling region includes Canada's most populated cities and areas along the St. Lawrence River and Estuary, Quebec, as well as around the Salish Sea, British Columbia. TBECH was detected in over 60 % of air samples at levels comparable to those of 2,2',4,4'-tetrabromodiphenyl ether (BDE-47). Concentrations of TBECH and BDE-47 were typically higher in urban areas, with stronger correlations with population density during warmer deployments. Uniform α/β-TBECH ratios across space, time and environmental media indicate highly similar atmospheric fate of the two isomers. Although TBECH air concentrations were strongly related to temperature in urban Toronto and a remote site on the East coast, the lack of such dependence at a remote site on the West coast can be explained by the small seasonal temperature range and summertime air mass transport from the Pacific Ocean. Despite there being no evidence that TBECH has been produced, or imported for use, in Canada, it is now one of the most abundant gaseous BFRs in the Canadian atmosphere. The recorded spatial and temporal variability of TBECH suggest that its emissions are not constrained to specific locations but are generally tied to the presence of humans. The most likely explanation for its environmental occurrence in Canada is the release from imported consumer products containing TBECH. Chiral analysis suggests that despite its urban origin, at least some fraction of TBECH has experienced enantioselective processing, i.e., has volatilized from reservoirs where it has undergone microbial transformations. Microbial processes in urban soils and in marine waters may have divergent enantioselectivity.
Observationally constrained regional variations of shortwave absorption by iron oxides emphasize the cooling effect of dust
Authors: Obiso Vincenzo , Gonçalves Ageitos María , Pérez García-Pando Carlos , Schuster Gregory L. , Bauer Susanne E. , Di Biagio Claudia , Formenti Paola , Perlwitz Jan P. , Tsigaridis Konstantinos , Miller Ronald L.
Published: June 2023

Abstract. The composition of soil dust aerosols derives from the mineral abundances in the parent soils that vary across dust source regions. Nonetheless, Earth System Models (ESMs) have traditionally represented mineral dust as a globally homogeneous species. The growing interest in modeling dust mineralogy, facilitated by the recognized sensitivity of the dust climate impacts to composition, has motivated state-of-the-art ESMs to incorporate the mineral speciation of dust along with its effect upon the dust direct radiative effect (DRE). In this work, we enable the NASA Goddard Institute for Space Studies ModelE2.1 to calculate the shortwave (SW) DRE by accounting for the regionally varying soil mineralogy. Mineral-radiation interaction at solar wavelengths is calculated according to two alternative coupling schemes: 1) external mixing of three mineral components that are optically distinguished, one of which contains embedded iron oxides; 2) a single internal mixture of all dust minerals with a dynamic fraction of iron oxides that varies regionally and temporally. We link dust absorption to the fractional mass of iron oxides based on recent chamber measurements using natural dust aerosol samples. We show that coupled mineralogy overall enhances the scattering by dust, and thus the global cooling, compared to our control run with globally uniform composition. According to the external mixing scheme, the SW DRE at the top of atmosphere (TOA) changes from -0.25 to -0.30 W · m-2, corresponding to a change in the net DRE, including the longwave effect, from -0.08 to -0.12 W · m-2. The cooling increase is accentuated when the internal mixing scheme is configured: SW DRE at TOA becomes -0.34 W · m-2 (with a net DRE of -0.15 W · m-2). The varying composition modifies the regional distribution of single scattering albedo (SSA), whose variations in specific regions can be remarkable (above 0.03) and significantly modify the regional DRE. Evaluation against the AErosol RObotic NETwork (AERONET) shows that explicit representation of soil mineralogy and its regional variations reduces the low bias of model dust SSA, while improving the range of variability across stations and calendar months. Despite these improvements, the moderate spatio-temporal correlation with AERONET reveals remaining modeling challenges and the need for more accurate measurements of mineral fractions in soils.
Thermal infrared observations of a western United States biomass burning aerosol plume
Authors: Sorenson Blake T. , Reid Jeffrey S. , Zhang Jianglong , Holz Robert E. , Smith Sr. William L. , Gumber Amanda
Published: June 2023

Abstract. Biomass burning smoke particles, due to their sub-micron particle size in relation to the average thermal Infrared (TIR) wavelength, theoretically have negligible signals at the TIR channels. However, near-instantaneous longwave (LW) signatures of thick smoke plumes can be frequently observed at the TIR channels from remotely sensed data, including at 10.6 micron (IR window) as well as in water vapor-sensitive wavelengths at 7.3, 6.8, and 6.3 micron (e.g., lower, middle and upper troposphere). We systematically evaluated multiple hypotheses as to causal factors of these IR signatures of biomass burning smoke using a combination of Aqua MODerate resolution Imaging Spectroradiometer (MODIS) and Cloud and the Earth Radiant Energy System (CERES), Geostationary Operational Environmental Satellite 16/17 (GOES-16/17) Advanced Baseline Imager, and Suomi-NPP Visible Infrared Imaging Radiometer Suite (VIIRS) and Cross-track Infrared Sounder (CrIS) data. The largely clear transmission of light through wildfire smoke in the near infrared indicates that coarse or giant ash particles are unlikely to be the dominant cause. Rather, clear signals in water vapor and TIR channels suggest both co-transported water vapor injected to the mid to upper troposphere and surface cooling by the reduction of surface radiation by the plume are more significant, with the surface cooling effect of smoke aloft being the most dominant. Giving consideration of the smoke impacts onto TIR/longwave, CERES indicates large wildfire aerosol plumes are more radiatively neutral. Further, this smoke induced TIR signal may be used to map very optically thick smoke plumes, where traditional aerosol retrieval methods have difficulties.
Simulations of idealised 3D atmospheric flows on terrestrial planets using LFRic-Atmosphere
Authors: Sergeev Denis E. , Mayne Nathan J. , Bendall Thomas , Boutle Ian A. , Brown Alex , Kavcic Iva , Kent James , Kohary Krisztian , Manners James , Melvin Thomas , Olivier Enrico , Ragta Lokesh K. , Shipway Ben J. , Wakelin Jon , Wood Nigel , Zerroukat Mohamed
Published: June 2023

Abstract. We demonstrate that LFRic-Atmosphere, a model built using the Met Office's GungHo dynamical core, is able to reproduce idealised large-scale atmospheric circulation patterns specified by several widely-used benchmark recipes. This is motivated by the rapid rate of exoplanet discovery and the ever-growing need for numerical modelling and characterisation of their atmospheres. Here we present LFRic-Atmosphere's results for the idealised tests imitating circulation regimes commonly used in the exoplanet modelling community. The benchmarks include three analytic forcing cases: the standard Held-Suarez test, the Menou-Rauscher Earth-like test, and the Merlis-Schneider Tidally Locked Earth test. Qualitatively, LFRic-Atmosphere agrees well with other numerical models and shows excellent conservation properties in terms of total mass, angular momentum and kinetic energy. We then use LFRic-Atmosphere with a more realistic representation of physical processes (radiation, subgrid-scale mixing, convection, clouds) by configuring it for the four TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI) scenarios. This is the first application of LFRic-Atmosphere to a possible climate of a confirmed terrestrial exoplanet. LFRic-Atmosphere reproduces the THAI scenarios within the spread of the existing models across a range of key climatic variables. Our work shows that LFRic-Atmosphere performs well in the seven benchmark tests for terrestrial atmospheres, justifying its use in future exoplanet climate studies.
Spring and summertime aerosol optical depth variability over Arctic cryosphere from space-borne observations and model simulation
Authors: Swain Basudev , Vountas Marco , Deroubaix Adrien , Lelli Luca , Singh Aishwarya , Ziegler Yanick , Gunthe Sachin S. , Burrows John P.
Published: June 2023

Abstract. The Arctic is a unique part of the Earth system that is currently undergoing a warming phase called the Arctic Amplification (AA). Changes in aerosol abundance and composition are under the influence of the AA and may be, in turn, important drivers to the AA. However, their ground and space observations are particularly difficult and spatio-temporally sparse in this region, limiting the knowledge and ability to model their variability. In this study, we have used the total aerosol optical depth (AOD) determined by the AEROSNOW algorithm using data from the AATSR satellite instrument over snow- and ice-covered regions of the Arctic. This data is then used to evaluate the global GEOS-Chem 3D chemical transport model for the period 2003–2011. Thus, the main drivers of monthly and seasonal variations in spaceborne AOD were determined by using the GEOS-Chem model-simulated aerosol components. By comparing these two AOD datasets, we examined the spring and summer AOD over Arctic snow and ice for the period of space-borne observations. The space-borne and modelled AOD show consistent spatio-temporal distributions in both seasons, with a pronounced chemical speciation in GEOS-Chem. This behaviour is attributed to the different seasonal sources of AOD. In spring, Arctic aerosols originate from long-range pollution transport from low and mid-latitudes as well as from local sources, whereas in summer natural local sources within the Arctic Circle (here defined as > 60° N) dominate. Arctic AOD is generally highest in spring and lowest in summer due to wet scavenging. In addition, carbonaceous aerosols (black carbon, BC, and organic carbon, OC) are an increasingly important contributor to total AOD over Arctic sea ice in summer due to the expected increase in boreal forest fires. The relative contribution of sulfate to total AOD over Arctic sea ice decreases while that of carbonaceous aerosols increases during the spring-summer transition. This suggests that boreal wildfires are penetrating more deeply into Arctic sea ice at higher latitudes during this study period. GEOS-Chem showed a systematically smaller AOD value compared to AEROSNOW over the Arctic sea ice region in summer. The promising results of AEROSNOW could also serve as the baseline for the evaluation and improvement of aerosol forecasts for various chemical transport models, especially over Arctic sea ice.
Roles of Tropical Waves in the Formation of Global Tropical Cyclone Clusters
Authors: Vu The-Anh , Kieu Chanh
Published: June 2023

Abstract. This study examines the role of tropical dynamics in the formation of global tropical cyclone (TC) clusters. Using theoretical analyses and idealized simulations, it is found that global TC clusters can be produced by the internal dynamics of the tropical atmosphere, even in the absence of landmass surface and zonal sea surface temperature (SST) anomalies. Our analyses of a two-dimensional InterTropical Convergence Zone (ITCZ) model capture indeed some planetary-scale stationary modes whose zonal and meridional structures can support the formation of TC clusters at the global scale. Additional idealized simulations using the Weather Research and Forecasting (WRF) model confirm these results in a range of aqua-planet experiments. Specifically, the examination of two common tropical waves including the equatorial Rossby (ER) wave and the equatorial Kelvin (EK) wave shows that ER waves could develop and maintain a planetary-scale stationary structure for a range of zonal wavenumbers [5–11], while EK waves do not. This numerical result is consistent with the ITCZ breakdown model and reveals some forcing structures that can support stationary "hot spots" for global TC formation. The findings in this study offer different insights into the importance of tropical waves in producing global TC clusters beyond the traditional explanation based on zonal SST anomalies.
Strategies for improving the communication of satellite-derived InSAR data for geohazards through the analysis of Twitter and online data portals
Authors: Watson C. Scott , Elliott John R. , Ebmeier Susanna K. , Biggs Juliet , Albino Fabien , Brown Sarah K. , Burns Helen , Hooper Andrew , Lazecky Milan , Maghsoudi Yasser , Rigby Richard , Wright Tim J.
Published: June 2023

Abstract. Satellite-based earth observation sensors are increasingly able to monitor
geophysical signals related to natural hazards, and many groups are working
on rapid data acquisition, processing, and dissemination to data users with
a wide range of expertise and goals. A particular challenge in the
meaningful dissemination of Interferometric Synthetic Aperture Radar (InSAR)
data to non-expert users is its unique differential data structure and
sometimes low signal-to-noise ratio. In this study, we evaluate the online
dissemination of ground deformation measurements from InSAR through Twitter,
alongside the provision of open-access InSAR data from the Centre for
Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET)
Looking Into Continents from Space with Synthetic Aperture Radar (LiCSAR)
processing system. Our aim is to evaluate (1) who interacts with
disseminated InSAR data, (2) how the data are used, and (3) to discuss
strategies for meaningful communication and dissemination of open InSAR
data. We found that the InSAR Twitter community was primarily composed of
non-scientists (62 %), although this grouping included earth observation
experts in applications such as commercial industries. Twitter activity was
primarily associated with natural hazard response, specifically following
earthquakes and volcanic activity, where users disseminated InSAR
measurements of ground deformation, often using wrapped and unwrapped
interferograms. For earthquake events, Sentinel-1 data were acquired,
processed, and tweeted within 4.7±2.8 d (the shortest was 1 d).
Open-access Sentinel-1 data dominated the InSAR tweets and were applied to
volcanic and earthquake events in the most engaged-with (retweeted) content.
Open-access InSAR data provided by LiCSAR were widely accessed, including
automatically processed and tweeted interferograms and interactive event
pages revealing ground deformation following earthquake events. The further
work required to integrate dissemination of InSAR data into longer-term
disaster risk-reduction strategies is highly specific, to both hazard type and
international community of practice, as well as to local political setting and civil
protection mandates. Notably, communication of uncertainties and processing
methodologies are still lacking. We conclude by outlining the future
direction of COMET LiCSAR products to maximize their useability.
The solid effect of dynamic nuclear polarization in liquids
Authors: Sezer Deniz
Published: June 2023

Abstract. The solid-state effect of dynamic nuclear polarization (DNP) is operative also in viscous
liquids where the dipolar interaction between the electronic and nuclear spins is partially averaged.
The proper way to quantify the degree of averaging, and thus calculate the efficiency of the effect,
should be based on the time-correlation function of the dipolar interaction. Here we use
the stochastic Liouville equation formalism to develop a general theoretical description of the
solid effect in liquids. The derived expressions can be used with different dipolar correlations functions
depending on the assumed motional model. At high magnetic fields, the theory predicts DNP enhancements at small offsets, far from the classical solid-effect positions that are displaced by one nuclear Larmor
frequency from the electronic resonance. The predictions are in quantitative agreement with
such enhancement peaks observed at 9.4 T (Kuzhelev et al., 2022). These non-canonical peaks are not due to thermal mixing or the cross effect but exactly follow the dispersive component of the EPR line.
Does a convection-permitting regional climate model bring new perspectives on the projection of Mediterranean floods?
Authors: Poncet Nils , Lucas-Picher Philippe , Tramblay Yves , Thirel Guillaume , Vergara Humberto , Gourley Jonathan , Alias Antoinette
Published: June 2023

Abstract. Floods are the primary natural hazard in the French Mediterranean area causing damages and fatalities every year. These floods are triggered by heavy precipitation events (HPEs) characterized by limited temporal and spatial extents. For a decade, a new generation of regional climate models at the kilometer scale have been developed, allowing an explicit representation of deep convection and improved simulations of local-scale phenomena such as HPEs. Convection-Permitting regional climate Models (CPMs) have been scarcely used in hydrological impact studies, and future projections of Mediterranean floods remain uncertain with Regional Climate Models (RCMs). In this paper, we use the CNRM-AROME CPM (2.5 km) and its driving CNRM-ALADIN RCM (12 km) at the hourly timescale to simulate floods over the Gardon d’Anduze catchment located in the French Mediterranean region. Climate simulations are bias-corrected with the CDF-t method. Two hydrological models, a lumped and conceptual model (GR5H), and a processed-based and distributed model (CREST), successively forced with historical and future climate simulations from the CPM and from the RCM, have been used. The CPM model confirms its ability to reproduce extreme hourly rainfall compared to the RCM. This added value is propagated on flood simulation with a better reproduction of flood peaks. Future projections are consistent between the hydrological models, but differ between the two forcing climate models. With the CNRM-ALADIN RCM, all floods are projected to increase, whereas a threshold effect is found for simulations driven by the CNRM-AROME CPM, where the magnitude of the largest floods is expected to increase while the moderate floods are expected to decrease. In addition, different flood event characteristics indicate that floods are expected to become flashier in a warmer climate, regardless of the model. This study is a first step for impact studies driven by CPMs over the Mediterranean.
The Effects of Incorporating Dry-land Short Intervals to Long Aerobic-dominant In-Water Swimming Training on Physiological Parameters, Hormonal Factors, and Performance: A Randomized-Controlled Intervention Study
Authors: Liu Huan , Wang Jue
Published: June 2023

This study investigated the impact of a 4-week dry-land short sprint interval program (sSIT) on a swim ergometer, when incorporated into long aerobic-dominant in-water swimming training, on the physiological parameters, hormonal factors, and swimming performance of well-trained swimmers. Sixteen participants (age = 25 ± 6 years, height = 183 ± 6 cm, weight 78 ± 6 kg, body fat = 10.6 ± 3.1%) were randomized to either a long aerobic-dominant in-pool training plus three sessions/week of sSIT or a control group (CON) who didn’t engage in SIT. sSIT consisted of 3 sets of 10 × 4 s, 10 × 6 s, and 10 × 8 s all-out sprints interspersed by 15, 60, and 40 s recovery between each sprint, respectively. Pre- and post-training assessments included peak oxygen uptake (V̇O2peak), O2pulse (V̇O2/HR), ventilation at V̇O2peak (V̇E@V̇O2peak), peak and average power output, and freestyle swim performance at 50, 100, and 200-m distances, stroke rate, as well as testosterone and cortisol. sSIT resulted in significant improvements in V̇O2peak (5.8%), O2pulse (4.7%), V̇E@V̇O2peak (7.1%), peak and average power output (6.7% and 13.8%, respectively), total testosterone (20%), testosterone to cortisol ratio (16.1%), and 50, 100, and 200-m freestyle swimming performance (-2.2%, -1.2%, and -1.1%, respectively). Furthermore, the observed alterations in the physiological, biochemical, and performance adaptations were significantly more substantial in the sSIT group than the CON group (p ≤ 0.05), demonstrating no modifications during the 4-week long aerobic-dominant in-water swimming without sSIT. The current research effectively established that supplementing standard long aerobic-dominant in-water swim training with three weekly dry-land sSIT sessions triggers adaptive mechanisms that foster enhancements in the aerobic and anaerobic capacity and swimming performance in well-trained swimmers.
Study of Adsorption of Lead Metal (Pb) Using Chemically Acti-vated (Nypa Fruticans) Powder Biosorbent
Authors: Meriatna Meriatna , Hakim Lukman , Masrullita Masrullita , Zulmiardi Zulmiardi , Atika Suri
Published: June 2023

Heavy metal contamination in the environment is now quite concerning, and it is hazardous if it enters the body. Continuous human interaction with heavy metal lead (Pb) will result in various health problems. Nipa palm is a palm (Palma) thrives in mangrove forest habitats or along the seashore, with a cellulose content of 35.1%, 26.4% hemicellulose, and 17.8% lignin. This research aims to see if palm fronds (Nypa fruticans) can be used as a biosorbent to remove the heavy metal Pb in artificial solutions. The analysis was carried out in phases, beginning with the creation of biosorbents from Nipah fronds by decreasing their size to powder and drying them in the sun, followed by analyzing the efficacy of the biosorbents and the number of functional groups using the FTIR instrument. The research was carried out by varying the particle size of the nipa palm frond adsorbent, namely 40, 60, and 80 mesh, as well as contact times of 30, 60, 90, and 100 minutes, to determine the level of adsorption absorption and the adsorption mechanism using the Langmuir and Freundlich isotherm equation approach. The Pb solution used had a concentration of 20 ppm. The results showed that the maximum metal absorption level was 99.29% at a particle size of 80 mesh with a contact time of 100 minutes. The absorption mechanism is close to the Langmuir isotherm equation with R2 = 0.9998. It is suspected that the adsorption process occurs in one layer (monolayer) of the adsorbent.
Educación para la muerte. Un reto en la formación del profesorado
Authors: Martínez-Heredia Nazaret
Published: June 2023

Este estudio tiene como objetivo mejorar la comprensión y descripción sobre la formación del profesorado en educación para la muerte mediante un análisis bibliométrico. Se recurre a una metodología de tipo descriptivo y carácter transversal-retrospectivo, cuyo objetivo se centra en describir de manera cuantitativa y cualitativa la información obtenida de la producción de 16 referencias registradas en las bases de datos Scopus y Web of Science. Los resultados han identificado un campo de estudio que se encuentra todavía en vías de desarrollo y profundización, donde el año 2021 fue el año con mayor producción científica (n=2), y desde donde se visualiza una posible evolución de los estudios sobre la formación del profesorado en educación para la muerte. De esta forma, este artículo presenta una revisión necesaria, generadora de conocimiento a futuras investigaciones.
Development of Hand-cranking Type Manual Paddy Transplanter for Farm Women of Konkan Region
Authors: Chhaya R. Kavitkar  , Vijay V. Aware  , S.V.Wandkar
Published: June 2023

A hand-cranking type manual paddy transplanter was refined and developed for women workers of the Konkan region of Maharashtra. The transplanter dimensions were optimised ergonomically and mechanically by considering the anthropometric data of women workers of Konkan region. The height and length of handle were kept as 926 and 1100 mm, respectively. The shape of the handle grip was cylindrical with handle grip of 31 mm. The developed paddy transplanter was ergonomically evaluated to assess its adoptability. The mean working heart rate, work pulse, and energy expenditure rate were 118.06 (±2.18) beat. min-1, 35.8 (±3.96) beat. min-1, and 10.03(±0.36) kJ.min-1, respectively. The average field capacity and field efficiency were 0.03 ha.h-1 and 60.4%, respectively. The operating cost of the manual paddy transplanter was 69.7₹ h-1