bluuebunny/crossref_metadata_2025 huggingface dataset:
Clinical Data Standards and Data Anonymization Considerations for Academic Organizations: International Cross-Sectional Survey
Authors: Gaudesi Davide , Ittenbach Richard , Cameron Stephen , Yu Hong , Adegoke Olusegun , Miyaji Tempei , Bragat Alexander John Ching , Rostami Reza
Published: November 2024

Introduction: Clinical Data Management (CDM) is a critical aspect of clinical research, and the use of clinical data standards is essential to ensure the quality and consistency of one’s data. 
Objectives: We aim to obtain a snapshot of practice patterns among CDM professionals at academic institutions regarding the implementation and use of clinical data standards. 
Methods: A survey of 14 questions on clinical data standards and anonymization was sent to over 300 academic clinical institutions worldwide. Data were obtained from a total of 50 institutions. 
Results: Sixty-six percent of institutions reported implementing data standards while only 22% of reporting institutions offered data standards training and 20% offered training in anonymization. The findings presented here will be useful to research administrators striving to improve upon and streamline the use, implementation, and training of clinical data standards in academic research today.
Pemodelan Aplikasi Persetujuan Surat Keluar Menggunakan Pendekatan System Development Life Cycle Dan Metode Prototype
Authors: Harjo William Lutfi Rahman , Saniah Siti , Armansyah Armansyah
Published: November 2024

Persuratan dalam kegiatan organisasi, tidak terkecuali pada Stasiun Klimatologi Kelas I Sumatera Utara merupakan salah satu unsur penting dalam komunikasi antar departemen, baik internal maupun eksternal. Sementara sistem berjalan di lembaga ini, khususnya pada Persetujuan Surat Keluar masih melalui mekanisme tradisional yang menuntut kegiatan ekstra dari petugas, serta menuntut efisiensi. Pada penelitian ini, penulis bertujuan memodelkan sistem yang dimaksud untuk meningkatkan nilai efektivitas dan efisiensi persetujuan surat keluar tersebut. Model ini menggunakan pendekatan System Development Life Cycle (SDLC) dan metode prototype. Dengan memanfaatkan data-data yang relevan yang diperoleh dari observasi ke lembaga yang dimaksud dan wawancara langsung ke petugas persuratan, model selesai dirancang dan dievalusi dengan kriteria layak diteruskan pada tahapan pengembangan ke platform berbasis web.
Data Analytics and LIS Education
Authors: Pinki
Published: November 2024

Data analytics, an indispensable discipline in today's digital era, has spread through diverse industries, and libraries also need to embrace its transformative potential. As they are no longer mere storehouses of books and resources rather libraries metamorphosed into vibrant epicentre of information and wisdom. Consequently, LIS education must undergo a profound metamorphosis as well, embracing data analytics as an indispensable pillar of its curriculum. This paper delves into the vast realm of data analytics, combing through the extensive literature to furnish a comprehensive panorama of its fundamental aspects, methodologies, applications, and enigmatic challenges. Additionally, it embarks on a captivating expedition tracing the evolutionary trajectory of data analytics, charting the course of its exhilarating advancements, and scrutinizing the exemplary techniques that empower libraries to harness its prowess.
The Long-Run Bound Cointegration Influence of Unemployment Rate on the Nigerian Economic Growth
Authors: SALIHU Jamilu , Atah Ummi Ibrahim , Usman Muhammad Ahmad
Published: November 2024

The aim of this paper is to investigate the relative influence of the macroeconomic variables on the Nigerian economic growth for the purpose of sustaining the country’s economic development. The paper focuses on the unemployment rate, inflation rate and exchange rate as independent variables. Gross Domestic Products (GDP) is considered as dependent variable. The study uses the aforementioned dependent and independents macroeconomic variables from the year 2001 to 2022 annual Nigerian data. The study adopts Autoregressive Distributed Lags (ARDL) model to analyze the cointegration and long-run impact of inflation rate, exchange rate and unemployment rate on the GDP for the Nigerian economic growth. The result of the bound cointegration test indicates the palpable cointegration in the model. The study further found that inflation rate has insignificant effect on the economic growth. The unemployment rate has negative impact on the economic growth in the long run. Although the result found that the exchange rate positively influences the economic growth, only the exchange rate lag one that affects the dependent variable in the long run. The implication of the study findings indicate that the acceleration of economic growth could be achieved through measures for solving issues of unemployment rate in the country. Hence, the practical implication of the study is the creation of job opportunity for the sustainability of economic development.
Tipología de contenidos y grado de adecuación a las tendencias en la comunicación de marca en Instagram de las principales compañías del fast food español
Authors: Mayorga Escalada Santiago , Pelegrín Puertas Juan
Published: November 2024

Las redes sociales se han convertido en los últimos años en una parte fundamental dentro de la vida de millones de personas. Podría hablarse incluso de una revolución a la hora de entender las nuevas relaciones de interacción que, a través de las pantallas y los smartphones, se han generado: entre personas, y entre las personas y las marcas, todos ellos usuarios de redes sociales. El presente artículo desarrolla su objeto de estudio a través del análisis de la tipología de contenidos, y su grado de adecuación a las tendencias de marketing en redes sociales, que utilizan las marcas españolas más relevantes del fast food a través de Instagram. En primer lugar, se presentan las prácticas habituales y los tipos de contenido en la comunicación de marcas a través de Intagram que han sido identificados previamente por parte de fuentes de referencia en el ámbito del marketing digital. Posteriormente, se procede a analizar y catalogar los contenidos que han publicado las cuentas españolas de Burger King, McDonald’s y Telepizza, como principales marcas referentes del fast food en España, durante un periodo de tiempo determinado y con base en unos criterios de referencia establecidos. Para ello se van a considerar las 20 publicaciones realizadas con anterioridad al 1 de mayo de 2024 por cada una de las cuentas analizadas. Los resultados y conclusiones buscarán determinar si los contenidos publicados por las marcas han seguido las pautas de creación de contenido establecidas como óptimas por parte de las fuentes bibliográficas de expertos consultadas.
Optimización del entorno laboral: potenciando la utilización de los terceros espacios
Authors: González-Mohíno Sánchez Miguel , Donate Manzanares Mario Javier , Cabeza Ramírez Luis Javier
Published: November 2024

El mundo laboral contemporáneo, caracterizado por su ritmo acelerado, requiere esfuerzos continuos para potenciar tanto la productividad como la creatividad del personal laboral. En este contexto, el presente artículo examina el impacto de los denominados «terceros espacios», entornos que se encuentran en un punto intermedio entre el hogar y la oficina, y que fomentan la colaboración y la innovación. A través de un cuestionario y un análisis cualitativo comparativo de conjuntos difusos fsQCA, se investiga cómo estos espacios informales inciden en la comunicación, la creatividad y la eficacia laboral. Los resultados ponen de manifiesto la importancia de la disponibilidad de recursos, el confort del entorno y la promoción de la colaboración para aprovechar al máximo estas áreas. Este estudio proporciona una comprensión detallada de los terceros espacios y su potencial para estimular la innovación y el crecimiento económico en diversos sectores y comunidades.
Límites de las facultades de interpretación de las Comisiones paritarias de los convenios colectivos
Authors: García Quiñones Juan Carlos
Published: November 2024

La Sentencia del Tribunal Supremo de 17 de julio de 2024 desestima el recurso de casación (rec. 265/2022), en relación con la facultad interpretativa de la Comisión paritaria del convenio colectivo, para concluir que la Comisión paritaria de aplicación, interpretación y vigilancia no se ha excedido del ámbito atribuido a sus competencias. La problemática que subyace bajo el conflicto jurídico suscitado son los límites de las facultades de interpretación de las Comisiones paritarias de los convenios colectivos, por el espacio difuso que separa en ocasiones la delimitación entre las funciones de administración y negociación del convenio. Sobre todo, cuando semejante labor debe acometerse, como sucede siempre con cada pronunciamiento judicial, considerando las especificidades que incorpora cada supuesto concreto. Circunstancia esta que complica sobremanera cualquier división en abstracto entre esas funciones de administración y negociación del convenio colectivo.
GESTÃO ESCOLAR DEMOCRÁTICA X PERSPECTIVA DE PARTICIPAÇÃO DOS PAIS NA ESCOLA UMA DISCUSSÃO TEÓRICA NA GESTÃO PÚBLICA
Authors: SERRALBO ROSANE SCHMIDT , Chalender Vana Izabel de Araújo
Published: November 2024

This work ddresses the importance of parental participation in schools, highlighting their roles and the necessary strategies to create a healthy and productive school environment. The goal is to foster a space where all stakeholders contribute to the effective functioning of the institution, making it a pleasant place to study and work. Parents expect the school to provide a welcoming and high-quality environment, with an educational team that motivates their children. Therefore, it is essential for schools to develop strategies that facilitate this participation, allowing parents to engage with their children’s school life, which benefits both parties.The research was conducted quantitatively, using questionnaires with parents and interviews with the principal to analyze how parental participation occurs in school management. The results indicate that participation is mainly limited to meetings and events, and many parents are unfamiliar with the documents that guide the school’s pedagogical work. This reveals that including parents in school management still represents a challenge.It concludes that the absence of parental participation is correlated with cases of indiscipline and learning difficulties among students. However, the school demonstrates a commitment to promoting open dialogue, creating a favorable environment in which parents, students, and administrators collaborate to achieve quality education.
Surgical Incision Simple Abdominal Drain (SISA Drain) in Obstetrics and Gynaecology Practice in Low Resource Settings to Reduce Morbidity
Authors: Gumanga Solomon Kwabena , Lartey Noah Kofi , Amponsa-Dadzie Egyakow Miaful
Published: November 2024

During the performance of some obstetric and gynaecologic procedures it may be impossible to achieve satisfactory haemostasis and the surgeon wishes to monitor intraabdominal potential blood loss, additionally there may be possibility of urine leakage from the bladder or ureter, or potential accumulation of other fluids in the pelvis and abdomen at the end of the procedure. In any such situation, consideration and selection of a suitable and effective method on how to drain the pelvis and abdomen using existing abdominal drain types or packing the abdomen is made. SISA drain is an option to consider for use in obstetrics and gynaecology following such complicated operative procedures to prevent accumulation of blood, other fluids and air in the pelvis or lower abdominal cavity. Failure to recognize the need for an intervention such as use of an abdominal drain would result in the need of relaparotomy to evacuate accumulated intraabdominal or pelvic fluids with subsequent associated morbidity or mortality. The SISA drain is an effective, cheap and readily available option in low resource health facilities. This paper discusses prophylactic use of abdominal drains in obstetrics and gynaecological practice and describes the application of Surgical Incision Simple Abdominal drain (SISA drain) using existing sterile large(2000mls) urine drainage/collection bag during difficult and complex obstetrics and gynaecological procedures to reduce morbidity in low resource settings. In conclusion in low resource settings, understanding and ability to adapt to use some simple applications of cheap devices like the SISA drain can contribute to reduction in morbidity which may prevent some mortalities whiles saving precious and scarce resources.
Differentiating Malignant and Benign Lesion in Thyroid, Is There Any New Marker?
Authors: Arief Debby Victoria , Kurniasari Nila , Ridholia Ridholia
Published: November 2024

The most common malignancy of the endocrine gland is papillary thyroid carcinoma (90% of endocrine malignancy). In many cases, the tumor showed borderline morphology between benign lesions and characteristics of papillary thyroid carcinoma. To determine malignancy, we propose new markers to assist with these difficulties and challenges. This research aims to determine the sensitivity and specificity of CD44 and CDK4 immunostaining in diagnosing papillary thyroid carcinoma. Samples of paraffin blocks with histopathology diagnosis of papillary thyroid carcinoma and components of benign thyroid follicular cells from January 2019 to December 2022 were collected. Immunohistochemical staining was done using CD44 and CDK4 antibodies. The staining in papillary thyroid carcinoma cells and benign thyroid follicular cells were compared. Conclusions: All papillary thyroid carcinoma cells expressed CD44 and CDK4 antibodies (100%), whereas 78.9% of benign thyroid follicular cells did not express CD44 and 81.57% did not express CDK4. CD44 and CDK4 could be useful in diagnosing papillary thyroid carcinoma with a sensitivity of 100% and specificity of 78.9% and 81.57% respectively.
Comparing the Efficacy and Side Effect Profiles of Pazopanib and Sunitinib in the Treatment of Advanced Renal Cell Carcinoma: A Narrative Literature Review
Authors: Ismail Muhammad Faraaz
Published: November 2024

Background: Renal Cell Carcinoma (RCC) is the most common form of kidney cancer, accounting for approximately 85% of all kidney malignancies [1, 3]. Targeted therapies such as Pazopanib and Sunitinib, which inhibit the vascular endothelial growth factor (VEGF) pathway, have become integral to the management of metastatic RCC [4, 5]. Despite their similar mechanisms of action, these agents differ in their side effect profiles, which presents important considerations for patient tolerability and quality of life (QoL) [11, 12]. Objectives: This literature review aims to compare the efficacy and side effect profiles of Pazopanib and Sunitinib in treating advanced or metastatic RCC, providing a synthesis of the current evidence to guide clinicians in optimizing treatment strategies based on patient-specific factors. Methods: A narrative literature review was conducted using a descriptive synthesis approach. Relevant studies from 2006 to 2024 were identified in PubMed, Cochrane Library, and EMBASE. Randomized controlled trials (RCTs) and observational cohort studies were included, with a focus on identifying trends in efficacy and side effect profiles. Conclusion: Pazopanib and Sunitinib provide comparable efficacy in treating advanced RCC, though they differ significantly in their side effect profiles. Pazopanib is generally better tolerated, particularly in reducing fatigue, hand-foot syndrome, and mucosal side effects. In contrast, Sunitinib may be more suitable for patients with concerns about hypertension or hepatotoxicity. Clinicians should carefully balance efficacy with patient-specific tolerability when selecting between these agents. Further research should focus on combination therapies and long-term safety profiles.
Psychological Impact on Mental Health and Well-being in Women with Polycystic Ovary Syndrome (PCOS): A Narrative Review
Authors: Ismail Nabeelah , Ismail Muhammad Saleem
Published: November 2024

Polycystic Ovary Syndrome (PCOS) is a prevalent endocrine disorder among women of reproductive age, associated with various health impacts. It is characterised by hormonal imbalances, such as hyperandrogenism and insulin resistance, which lead to metabolic and reproductive complications. Beyond the physical symptoms, PCOS has significant psychological consequences, including an increased prevalence of mental health disorders like depression and anxiety. This narrative review focuses on the psychological impact of PCOS, specifically on depression, anxiety, and quality of life (QoL), by analysing studies published between 2000 and 2023 through systematic searches on PubMed, Google Scholar, and Medline. The review finds that women with PCOS are more likely to experience major depressive disorder (MDD) and generalised anxiety disorder (GAD) compared to women without the condition. These mental health challenges are often linked to physical manifestations such as hirsutism, obesity, and infertility, which negatively affect body image and self-esteem. Additionally, hormonal disturbances, particularly hyperandrogenism and insulin resistance, further exacerbate mood disorders. The findings suggest that a comprehensive approach to treatment is essential, integrating psychological support alongside medical care for PCOS. The review highlights the need for future research to adopt standardised diagnostic criteria and larger, diverse samples to better understand the full psychological impact of PCOS on women’s health and quality of life.
Sotatercept (Winrevair)
Authors: CDA-AMC
Published: November 2024

Canada’s Drug Agency (CDA-AMC) recommends that sotatercept (Winrevair) should be reimbursed by public drug plans for the treatment of patients with WHO Group 1 pulmonary arterial hypertension (PAH) if certain conditions are met.
Winrevair should only be covered as add-on therapy in patients with confirmed WHO Group 1 PAH based on guidelines-approved diagnostic procedure including right-heart catheterization (RHC).
Winrevair should only be reimbursed as an add-on therapy in patients who are not at low risk, currently treated with optimal background therapy for at least 3 months, and if the cost of Winrevair is reduced.
Analysis of Cerebrospinal Fluid Samples in Canine Tick Paralysis: Insights and Implications
Authors: Gülersoy Erdem , Balıkçı Canberk , Şahan Adem , Günal İsmail , Kısmet Esma , Güllü Yücetepe Ayfer , Oğuz Ayda Nur
Published: November 2024

Tick paralysis, caused by the salivary neurotoxin of several species of ticks, is a non-infectious neurological syndrome. Its clinical findings are often confused with other acute flaccid paralyses (AFPs). Demographic data and cerebrospinal fluid (CSF) examination, along with routine analyses, can be used to increase the index of suspicion for tick paralysis. Thus, this study aims to elucidate neurological manifestations and mechanisms, offering diagnostic insights to enhance understanding of tick paralysis pathophysiology and inform treatment development and prevention. 15 dogs with tick paralysis and AFP findings were included. Anamnestic data were collected for all the dogs, followed by physical examination, complete blood count (CBC), and CSF examinations. It was observed that physical examination, CBC, and CSF analysis results were within reference values. Unexpectedly, despite the non-infectious nature of tick paralysis, Staphylococcus lentus and Aeromonas sobria were detected in three CSF samples. Although these bacteria are not typically associated with tick paralysis, their presence in shepherd dogs was interpreted as contamination from livestock. Consequently, it was noted that comprehensive evaluation of demographic data and other physical and laboratory findings may aid diagnosis in cases of tick paralysis, including atypical cases where ticks cannot be detected. It was concluded that while CSF analysis is diagnostically important for neurological disorders, careful consideration of contamination risk is warranted, especially in shepherd dogs.
WEWENANG OMBUDSMAN REPUBLIK INDONESIA MENURUT UNDANG-UNDANG NOMOR 25 TAHUN 2009
Authors: Kurniawati Aprillia , Beni Hidayat
Published: November 2024

Public Service is an activity to meet service needs in accordance with laws and regulations. Supervision of the delivery of public services is carried out by internal supervisors and external supervisors. Internal supervision is carried out by direct superiors in accordance with laws and regulations. Meanwhile, external supervision is carried out by the ombudsman, the community, the DPR, the DPRD, and the District/City DPRD. The research method in this paper uses normative legal methods. The normative legal method is a scientific research procedure to find truth based on scientific logic from the normative side through a statutory approach (statue approach), supported by secondary data by collecting literature study data using qualitative descriptive analysis. The Ombudsman was first born in Indonesia based on Presidential Decree Number 44 of 2000 and became a demand of the reform era to create a clean, transparent and corruption-free government .
Exploring the Prevalence and Patterns of Media Exposure and Use among Adolescent Generation Z in Secondary Schools in Western Kenya: A Focus on Kakamega, Kisii, and Siaya Counties
Authors: Adhiambo Pauline , Odera Peter
Published: November 2024

The purpose of this study was to explore media exposure patterns among school-going Generation Z adolescents in Western Kenya, specifically in Kakamega, Kisii, and Siaya Counties. By providing crucial insights into the media habits of these adolescents, the study aims to enhance understanding of youth media behavior and its developmental impacts. The findings could inform educational policies, parental guidance, content regulations, and health initiatives to address issues such as screen addiction and cyberbullying. The study applied Erik Erikson's Psychosocial Theory of Development to explore the media habits of adolescents in an exploratory context. Using descriptive and correlational research designs that included questionnaires, interviews, focus group discussions, and content analysis, data was collected from a sample of 384 learners drawn from a population of 190,555 learners using a stratified random sampling method. Additionally, 56 parents and 48 teachers were selected based on the principle of data saturation. A pilot study conducted in Vihiga County with 42 learners yielded a Cronbach's Alpha coefficient of 0.87. Expert faculty members assessed the instruments for face validity. The study adhered to the Kenya Data Protection Act of 2019, ensuring ethical procedures such as informed consent from principals, participant anonymity, and thorough training for research assistants. The data was analyzed using a mixed-methods approach that combined descriptive statistics for the quantitative data and thematic analysis for the qualitative insights. Findings reveal that Generation Z adolescents have widespread access to media, primarily engaging with social media (38%), with at least 35% using media for over 6 hours, notably on social media and mobile phones. A significant portion (35%) of their media consumption occurs without parental supervision, prominently on social media (40.7%) and mobile phones (28.2%). Media serves dual purposes for these adolescents, with radio and television primarily used for education (32% and 31.8%), while mobile phones and social media are predominantly for entertainment (34.6% and 25%). The study concluded that social media is widely used among adolescent Generation Z learners, with substantial daily engagement and minimal parental supervision. This study recommends implementing digital literacy programs, setting screen time limits, and integrating educational content into popular digital platforms, particularly targeting adolescent Generation Z. Schools should collaborate with content creators to enhance learning through engaging, interactive materials.
Updated Vector Autoregressive Model Incorporating new Information Using the Bayesian Approach
Authors: Musyoki Michael , Alilah David , Angwenyi David
Published: November 2024

Vector Autoregressive (VAR) models have been applied extensively in modeling time series due to their high precision when used to forecast. In the VAR development, if we have information up to time t, then a VAR(p) model is fitted. However, if new information at time t + 1, is obtained, then a new VAR(p) model has to be fitted which makes one to go through the process again. Therefore, despite their good performance, a need would arise to incorporate new information that could be obtained after the model has been fitted to update the model instead of fitting a new model each and every time a new information is obtained. This study, therefore, considers incorporating the new information to update the vector autoregressive model of order p using Bayesian approach. First, a VAR model of order 1 is formulated after which this is generalized to the VAR model of order p. We assume that the VAR model is the prior while new information is the likelihood. The performance of updated model is compared with corresponding VAR(p) models and the model is found to perform well based on the small values of the root mean square error (RMSE) in the update and in the prediction for the plots obtained.
OBESIDADE INFANTIL: COMPLICAÇÕES CLÍNICAS
Authors: Rocha João Victor Guimarães Rangel Ferreira , Santiago Millena Grossi Siervo , Rocha Sara Mendes , Sousa Filho Paulo Wagner Brandão de
Published: November 2024

Introdução: A obesidade infantil emergiu como um dos desafios mais significativos da saúde pública nas últimas décadas, afetando milhões de crianças em todo o mundo. Este aumento alarmante está associado a mudanças nos padrões alimentares, sedentarismo e influências sociais e ambientais. A obesidade na infância não é apenas uma questão estética; suas complicações clínicas são graves e abrangem uma gama de condições físicas e psicológicas, como diabetes tipo 2, hipertensão, dislipidemias e problemas emocionais. A compreensão dessas complicações é fundamental para desenvolver intervenções eficazes e promover um estilo de vida saudável entre crianças e adolescentes. Objetivo: Investigar as complicações clínicas da obesidade infantil, proporcionando uma visão abrangente sobre os efeitos adversos associados a essa condição. Metodologia: A pesquisa foi conduzida com base no checklist PRISMA, utilizando as bases de dados PubMed, SciELO e Web of Science. Foram selecionados cinco descritores principais: “Saúde pública”, “Crianças”, "saúde infantil", "dieta", e "atividade física". Os critérios de inclusão compreenderam artigos publicados nos últimos 10 anos, estudos que abordaram complicações clínicas associadas à obesidade infantil e pesquisas em português ou inglês. Por outro lado, foram excluídos trabalhos que não focaram em crianças, estudos de revisão e artigos que não apresentaram dados originais. Resultados: Os resultados revelaram uma ampla gama de complicações clínicas associadas à obesidade infantil. Destacaram-se problemas como resistência à insulina, doenças cardiovasculares precoces e distúrbios ortopédicos. Além disso, observou-se que a obesidade pode levar a consequências psicológicas, como depressão e ansiedade, afetando a qualidade de vida das crianças. A literatura também indicou a importância da intervenção precoce e de programas de prevenção em escolas e comunidades. Conclusão: A obesidade infantil representa um desafio complexo, com complicações clínicas que se estendem muito além do peso corporal. A evidência obtida nesta revisão sublinha a urgência de estratégias integradas que promovam estilos de vida saudáveis, abordando tanto a saúde física quanto o bem-estar psicológico das crianças. O enfrentamento eficaz desse problema requer a colaboração de profissionais de saúde, educadores e famílias para criar ambientes que incentivem hábitos saudáveis desde a infância.
Ozone deposition measurements over wheat fields in the North China Plain: variability and related factors of deposition flux and velocity
Authors: Zhang Xiaoyi , Xu Wanyun , Lin Weili , Zhang Gen , Geng Jinjian , Zhou Li , Zhao Huarong , Ren Sanxue , Zhou Guangsheng , Chen Jianmin , Xu Xiaobin
Published: November 2024

Abstract. Ozone (O3) deposition is the main sink of surface O3, exerting great influences on air quality and ecosystems. Due to instrument limitations and method shortages, O3 deposition was less observed and investigated in China, where O3 has been reported to be continuously and significantly rising. Here, we conducted comprehensive measurements of O3 deposition over a wheat canopy at a typical polluted agricultural site in the North China Plain using a newly developed relaxed eddy accumulation system. For the main wheat growing season in 2023, O3 deposition flux and velocity (Vd) averaged −0.25 ± 0.39 µgm-2s-1 and 0.29 ± 0.33 cm s−1, respectively. Daytime Vd (0.40 ± 0.38 cm s−1) was obviously higher than in the nighttime (0.17 ± 0.26 cm s−1). The temporal changes in Vd were mainly determined by crop growth, and Vd significantly increased with decreasing relative humidity and increasing friction velocity and soil water content, enhanced by a higher leaf area index. With rapid increases in soil moisture, simultaneous and following overall increments in Vd were detected, attributed to remarkably strengthening O3 stomatal uptake under increased stomatal conductance and extended opening into the night, and more non-stomatal O3 removal at night resulted from strengthened soil NO emission in moist conditions. This study confirms the leading effects of crop growth on O3 deposition modulated by environmental conditions and the non-negligible influences of nocturnal plant activities, and it emphasizes the need for O3 deposition observation over different surfaces and accurate evaluation of O3 agricultural impacts based on deposition fluxes.
Marine snow morphology drives sinking and attenuation in the ocean interior
Authors: Soviadan Yawouvi Dodji , Beck Miriam , Habib Joelle , Baudena Alberto , Drago Laetitia , Accardo Alexandre , Laxenaire Remi , Speich Sabrina , Brandt Peter , Kiko Rainer , Stemmann Lars
Published: November 2024

Abstract. Simultaneous measurements of marine snow (particles larger than 600 µm) morphologies, estimates of their in situ sinking speeds and midwater attenuation in export plumes were performed for the first time using a BGC-Argo float equipped with optical and imaging sensors. The float was deployed and recovered after one year drifting in the sluggish flow regime of the Angola basin. Six consecutive chlorophyll-a and particulate matter accumulation events were recorded at the surface, each followed by an export plume of sinking aggregates. Objects larger than 600 µm were classified using machine learning recognition and clustered into four morphological categories of marine aggregates. Plankton images were validated by an expert in a few broad categories. Results show that different types of aggregates were produced and exported from the different blooms. The different morphological categories of marine snow had different sinking speeds and attenuation for similar size indicating the effect of morphology on sinking speed. However, the typical size-to-sinking relationship for two of the categories and over the larger observed size range (100 µm-few mm) was also observed, indicating the importance of size for sinking. Surprisingly, calculated in situ sinking speeds were constantly in the lower range of known values usually assessed ex situ, suggesting a methodological effect which is discussed. Moving away from purely size-based velocity relationships and incorporating these additional morphological aggregates properties will help to improve mechanistic understanding of particle sinking and provide more accurate flux estimates. When used from autonomous platforms at high frequency, they will also provide increased spatio-temporal resolution for the observation of intermittent export events naturally occurring or induced by human activities associated with marine Carbon Dioxide Removal.
Development of the MPAS-CMAQ coupled system (V1.0) for multiscale global air quality modeling
Authors: Wong David C. , Willison Jeff , Pleim Jonathan E. , Sarwar Golam , Beidler James , Bullock Russ , Herwehe Jerold A. , Gilliam Rob , Kang Daiwen , Hogrefe Christian , Pouliot George , Foroutan Hosein
Published: November 2024

Abstract. The Community Multiscale Air Quality (CMAQ) model has been used for regulatory purposes at the U.S. EPA and in the research community for decades. In 2012, we released the Weather Research and Forecasting (WRF)-CMAQ coupled model that enables aerosol information from CMAQ to affect meteorological processes through direct effects on shortwave radiation. Both CMAQ and WRF-CMAQ are considered limited-area models. Recently, we have extended domain coverage to the global scale by linking the meteorological Model for Prediction Across Scales – Atmosphere (MPAS-A, hereafter referred simply to as MPAS) with CMAQ to form the MPAS-CMAQ global coupled model. To configure these three different models, i.e., CMAQ (offline), WRF-CMAQ, and MPAS-CMAQ, we have developed the Advanced Air Quality Modeling System (AAQMS) for constructing each of them effortlessly. We evaluate this newly built MPAS-CMAQ coupled model using two global configurations: a 120 km uniform mesh and a 92–25 km variable mesh with the finer area over North America. Preliminary computational tests show good scalability and model evaluation, when using a 3-year simulation (2014–2016) for the uniform mesh case and a monthly simulation of January and July 2016 for the variable mesh case, on ozone and PM2.5 and show reasonable performance with respect to observations. The 92–25 km configuration has a high bias in wintertime surface ozone across the United States, and this bias is consistent with the 120 km result. Summertime surface ozone in the 92–25 km configuration is less biased than the 120 km case. The MPAS-CMAQ system reasonably reproduces the daily variability of daily average PM from the Air Quality System (AQS) network.
Filtering Keypoints with ORB Features
Authors: Garcia Thaisa Aline Correia , Tommaselli Antonio Maria Garcia , Castanheiro Letícia Ferrrari , Campos Mariana Batista
Published: November 2024

Abstract. Keypoint detectors and descriptors are essential for identifying points and their correspondences in overlapping images, being fundamental inputs for many subsequent processes, including Pose Estimation, Visual Odometry, vSLAM, Object Detection, Object Tracking, Augmented Reality, Image Mosaicking, and Panorama Stitching. Techniques like SIFT, SURF, KAZE, and ORB aim to identify repeatable, distinctive, efficient, and local features. Despite their robustness, some keypoints, especially those detected in fisheye cameras, do not contribute to the solution, and may introduce outliers or errors. Fisheye cameras capture a broader view, leading to more keypoints at infinity and potential errors. Filtering these keypoints is important to maintain consistent input observations. Various methods, including gradient-based sky region detection, adaptive algorithms, and K-means clustering, addressed this issue. Semantic segmentation could be an effective alternative, but it requires extensive computational resources. Machine learning provides a more flexible alternative, processing large data volumes with moderate computational power and enhancing solution robustness by filtering non-contributing keypoints already detected in these vision-based approaches. In this paper we present and assess a machine learning model to classify keypoints as sky or non-sky, achieving an accuracy of 82.1%.
Optimal Design of Flexible Imaging Modes for Agile Optical Remote Sensing Satellites
Authors: Liu Tinghao , Li Zhen , Li Ting , Tang Haitao , Liu Bin , He Linlu , Pan Jing
Published: November 2024

Abstract. By utilizing their ability to maneuver along the three axes of roll, pitch and yaw, agile satellites can point quickly at the imaging area and control the optical axis of the satellite sweep in a specific manner, thus achieve a flexible imaging work mode, which can greatly enhance the mission execution ability of the satellite, and give full play to the satellite's efficiency. Optical remote sensing satellites using dynamic imaging modes have more complex and diverse imaging modes, and the number of imaging parameters that can be combined and selected significantly increases. On the one hand, users hope that imaging quality parameters such as signal-to-noise ratio (SNR) and modulation transfer function (MTF) can meet the requirements of subsequent data applications. On the other hand, users also hope that satellite imaging efficiency can be as high as possible to meet the needs of high timeliness and rapid response of satellites. It can be seen that imaging quality and imaging efficiency are mutually constrained, and it is particularly important to strike a balance to achieve the optimal comprehensive imaging efficiency.In this paper, a comprehensive imaging performance evaluation function and an imaging mode and parameter optimization design strategy based on this function is proposed. We hope this paper could provide valuable reference for the design of imaging mode of agile optical remote sensing satellites.
A Low-Cost C-band Active Reflector for InSAR deformation monitoring
Authors: Luzi Guido , Espín-López Pedro F. , Gao Qi , Monfort Marta , Pavlovsky Pavel , Crosetto Michele
Published: November 2024

Abstract. InSAR often demands the installation of artificial reflectors, usually represented by Passive Corner Reflectors (PCR). This occurs when in the imaged areas the coherence is low, and the density of Persistent Scatterers (PS) is scarce or even non-existent. For missions based on C-band sensor as Sentinel-1, PCRs capable of providing a high phase accuracy are cumbersome, and heavy, and the installation is difficult and costly. For this reason, the use of Active Reflectors (AR), compact and smaller with respect to PCRs, can be a valid alternative especially in mountain vegetated or snow-covered areas, or glaciers. The use of these devices has not yet largely spread due to their high sensitivity over long interval to annual/seasonal temperature range of variation which reduces their reliability. This work focuses on the analysis of the performance of a C band low-cost AR tested in a real field campaign based on the interferometric processing of Sentinel-1 images aimed at monitoring a forested slope, located in Andorra, partially collapsed some years ago. Phase stability is investigated using data acquired during an experimental campaign carried out in where also several PCRs have been installed. The experimental tests confirm that the device is capable to provide a millimetric accuracy over a significant temporal interval and can be used as reference point for a network of PCR installed in instable areas.
Exploring Ground-Level Ozone Distribution Across Different Land Covers in the Veneto Region, Italy
Authors: Mamić Luka , Kaplan Gordana , Pirotti Francesco
Published: November 2024

Abstract. This study investigates ground-level ozone (O3) distribution across different land cover classes in Veneto, Italy, from 2019 to 2022. Analysis revealed high correlations between O3 and its precursors, such as temperature and solar radiation, across various land covers. Cropland areas exhibited the lowest O3 levels, while built-up areas had the highest. Seasonal variations showed distinct patterns, with higher O3 concentrations in built-up areas during warmer months and lower concentrations in tree cover areas. The findings underscore the importance of land cover characteristics in pollution management strategies.
ADATools: free and easy-to-use tools for semi-automatically extracting and analysing multitemporal interferometric displacement maps
Authors: Monserrat Oriol , Barra Anna , Béjar-Pizarro Marta , Rivera Jonathan S. , Galve Jorge Pedro , Guardiola Carolina , Cuevas-González Maria , Mateos Rosa Maria , Ezquerro Pablo , Azañon Jose Miguel , Shahbazi Saeedeh , Navarro Jose , Crosetto Michele , Luzi Guido
Published: November 2024

Abstract. The availability of displacement maps based on Multi-Temporal Satellite SAR Interferometry (MT-InSAR) has greatly increased, particularly since the launch of the Copernicus Sentinel-1 satellites in 2014. These satellites provide open and free data, leading to services like the European Ground Motion Service (EGMS) which offers highly detailed displacement maps across Europe. Despite their potential for territorial management and risk assessment, the use of these maps is limited due to the complexity of the data and the lack of experience in interpreting MT-InSAR results. Projects such as RASTOOL and SARAI aim to address this by developing automated tools that simplify and expedite the analysis of EGMS data. The ADATools suite, including ADAFinder, ADAClassifier, and ADAImpact, automates the identification, classification, and impact assessment of active deformation areas (ADAs). These tools facilitate the use of displacement data for non-experts, supporting better management of territorial and infrastructural risks. Examples of ADATools applications to EGMS data highlight their strengths and future development potential, as part of the SARAI project.
Patterns of natural vegetation removal in the Caatinga biome in Prodes Project scope
Authors: Arcoverde Gustavo Felipe Balué , Silva Aline Rocha , Pinto Renato Alves , Dias Filipe Gomes , Pereira Júlia Arantes , Bezerra Ulisses Alencar , Carreiro Gabriela Alves , Bontempo e Silva Edgard Alves , Coelho Luís Francico Mello , Cunha John Elton de Brito Leite , Sestini Marcelo Francisco , Boas Cloves Vilas , Soler Luciana , Almeida Claudio
Published: November 2024

Abstract. The native vegetation removal (NVR) of Caatinga Brazilian biome has been mapped by Prodes Project coordinated by National Institute for Spatial Research (INPE) between 2000 to 2023 year. Prodes is considered an official government product for achieving Brazilian and international targets for the conservation of natural vegetation. Therefore, Prodes is committed to achieving the highest possible accuracy associated with the history of mapping already carried out, by visual interpretation of satellite images and the use of past mapping masks techniques. Mapping NVR in Caatinga biome is a major challenge compared to biomes where the tree canopy with native vegetation prevails. Caatinga is one of the least protected of Brazilian biomes and is in one of the most pressured semi-arid regions on the planet. This work aims to present the NVR in Caatinga biome from Prodes data, in terms of its trajectory and main geographical patterns, concerning the municipalities, and areas that are the focus of monitoring, conservation or restoration. According to Prodes results, by 2023, the cumulative NVR in the entire Caatinga reached 43,05%; in 2000, this figure was 29,54%. The major NVR occurred in the easternmost areas of Caatinga and regions of Serrinha and Feira de Santana in Bahia State. Also, there are areas with considerable NVR further inside the biome, such as, Irecê and Guanambi region in Bahia, west of Pernambuco and Paraíba States and South and North of Ceará State. Areas prioritized for conservation actions showed high NVR values, indicating the urgent need for implementation of such actions. The fact that Desertification Cores showed low NVR values is important, and these regions should be closely monitored to prevent uncontrolled NVR rates. The two regions with high anthropic pressure or speculation showed contrasting behaviors; while the Araripe Gypsum Pole exhibited higher NVR levels compared to the control area, the São Francisco River integration project (PISF) so far does not appear significantly different from the rest of the biome. Overall, this study clearly demonstrates the potential of monitoring the Caatinga through Prodes in understanding and integrating the various factors influencing changes in the biome's native vegetation cover. Future approaches should move beyond descriptive studies to increasingly contribute to the territorial management of this important Brazilian region.
A compilation of innovative dissection-based interventions in human anatomy teaching
Authors:   Research Group on the Clinical Anatomy of the Musculoskeletal System (GIACAL), Alberola-Zorrilla Pilar ,   Consolidated Teaching Innovation Group in Anatomy (INNAt),   Department of Anatomy and Human Embryology. Universitat de València, València, Spain, Gimeno-Monrós Amparo ,   Consolidated Teaching Innovation Group in Anatomy (INNAt); Department of Anatomy and Human Embryology. Universitat de València, València, Spain, Zaragozá-Colom Rosa ,   Consolidated Teaching Innovation Group in Anatomy (INNAt); Department of Anatomy and Human Embryology. Universitat de València, València, Spain, Valverde-Navarro Alfonso A. ,   Department of Anatomy and Human Embryology. Universitat de València, València, Spain, Sánchez-Zuriaga Daniel ,   Research Group on the Clinical Anatomy of the Musculoskeletal System (GIACAL); Consolidated Teaching Innovation Group in Anatomy (INNAt); Department of Anatomy and Human Embryology. Universitat de València, València, Spain
Published: November 2024

Human anatomy teaching has traditionally relied on lecture-based instruction and passive learning through cadaver prosections. However, contemporary educational frameworks demand a more active integration of practical experiences with anatomical knowledge. To maintain educational quality, innovative methods incorporating new technologies are being adopted within health sciences higher education. Such innovations require robust evaluation protocols that extend beyond student satisfaction surveys to accurately assess their effectiveness. This paper explores various strategies for educational innovation in human anatomy performed at the Department of Anatomy and Human Embryology of the Faculty of Medicine at the University of Valencia. The innovative interventions were based on teaching videos on the YouTube platform, an Instagram profile with interactive quizzes on the stories, gamification using the Kahoot! application and collaborative approaches based on movement simulations. Objective measurement tools are presented alongside satisfaction questionnaires in order to improve the evaluation of the success of the interventions. The teaching of human anatomy in health sciences continues to require face-to-face and active guidance of university professors, along with teaching on cadaveric dissections, to help the students visualize the anatomical structures and their functional relationship. In addition, educational innovation interventions are useful complements to promote the integration of anatomical knowledge, motivate students and develop transversal skills required for higher education competences.