bluuebunny/crossref_metadata_2025 huggingface dataset:
PERTANGGUNG JAWABAN PIDANA ANGGOTA TENTARA NASIONAL INDONESIA YANG MELAKUKAN DESERSI (Studi Putusan Pengadilan Militer II-08 Jakarta Nomor. 31-K/PM II-08/AD/I/2022)
Authors: Roni Rachmad , Mustamam Mustamam , Purba Ahmad Rusly
Published: September 2024

Tindak pidana desersi merupakan suatu tindak pidana militer murni yang dilakukan oleh seorang prajurit karena bersifat melawan hukum dan bertentangan dengan Undang-Undang. Permasalahan dalam penelitian ini adalah bagaimana pengaturan hukum penyelesaian perkara pidana Militer desersi yang dilakukan oleh prajurit TNI, bagaimana pertanggungjawaban pidana, anggota TNI yang melakukan tindak pidana desersi, bagaimana pemindanaan terhadap anggota TNI yang melakukan tindak pidana desersi dalam putusan Pengadilan Militer ll-08 Jakarta Nomor 31-K/PM ll-08/AD/l/2022. Penelitian yang dilakukan adalah penelitian normatif dan analisa data yang dipergunakan adalah pendekatan kualitatif terhadap data primer dan data sekunder. Pertanggungjawaban pidana, anggota TNI yang melakukan tindak pidana adalah pidana utama yang terdiri dari pidana mati, pidana penjara, dan pidana tambahan yang terdiri dari pemecatan dari dinas militer, penurunan pangkat, pencabutan hak-hak tertentu. Berdasarkan hasil penelitian dipahami pemindanaan terhadap anggota TNI yang melakukan tindak pidana desersi dalam putusan Pengadilan Militer ll-08 Jakarta Nomor 31-K/PM ll-08/AD/l/2022 adalah terdakwa yaitu Donny Efnasus Nubatonis, Kopda NRP 31020752271280 yang terbukti secara sah dan meyakinkan bersalah melakukan tindak pidana desersi dalam waktu damai dipidana dengan pidana pokok yaitu enjara selama 1 (satu) tahun dan pidana tambahan berupa dipecat dari dinas militer
PERTANGGUNGJAWABAN PERDATA PEJABAT PEMBUAT KOMITMEN DALAM PENGADAAN BARANG DAN JASA YANG TIDAK SESUAI DENGAN KLAUSUL PERJANJIAN
Authors: Batubara Ali Syahrin , Lubis Yamin , Noor Tajuddin
Published: September 2024

Terlihat bahwa dalam proses pengadaan barang/jasa, tidak hanya melibatkan PPK saja namun juga ada pihak lain yang berperan dalam pengadaan barang/jasa yang saling berkaitan yaitu PA dan KPA. Pengaturan perjanjian pengadaan barang dan jasa di Indonesia diatur dalam Peraturan Presiden Nomor 12 Tahun 2021 Tentang Perubahan Atas Peraturan Presiden Nomor 16 Tahun 2018 Tentang Pengadaan Barang/Jasa Pemerintah. Permasalahan dalam Penelitian ini adalah bagaimana pengaturan perjanjian pengadaan barang dan jasa di Indonesia, bagaimana penerapan pertanggungjawaban perdata Pejabat Pembuat Komitmen dalam perjanjian pengadaan barang dan jasa, bagaimana penyelesaian sengeta dalam perjanjian pengadaan barang dan jasa akibat terjadinya wanprestasi. Penelitian yang dilakukan adalah penelitian yuridis normatif yaitu menganalisis peraturan perundang-undangan dihubungkan dengan permasalahan dalam tesisi ini dan analisis data yang digunakan adalah data kualitatif. Berdasarkan hasil penelitian dipahami penyelesaian sengeta dalam perjanjian pengadaan barang dan jasa akibat terjadinya wanprestasi adalah para pihak melakukan upaya perdamaian atau dengan kata lain akan menyelesaikan perselisihan yang terjadi dengan cara musyawarah dan jika dengan cara musyawarah tidak tercapai kata sepakat, maka para pihak sepakat akan menyelesaikan perselisihan tersebut dengan menempuh jalur hukum melalui pengadilan.
Competency Based Curriculum in Kenya: Impact of Resources on Implementation of the Programme
Authors: Maiyuria Mary Njeri , Mackatiani Caleb Imbova , Gakunga Daniel Komo
Published: September 2024

The objective of the investigation was to ascertain the impact of competency-based curriculum (CBC) implementation on the preparedness of teachers, the physical infrastructure of schools, and instructional materials in public and private primary schools in Kenya. More specifically, it examined the factors that influence the implementation of CBC in public and private primary institutions in the South Kinangop sub-county. The literature review addressed three distinct components: instructional materials, instructors’ preparedness, and the physical infrastructure of the school. The theory of change and the theory of implementation were both implemented in the investigation. A total of 508 respondents, were the focus of a descriptive survey design. The survey emphasized the physical infrastructure deficiencies of public primary schools in comparison to private ones. The study suggests that in order to improve the implementation of CBC, instructors in both public and private primary schools should participate in additional workshops, seminars, in-depth training, and continuous professional development.
An Empirical Study on the Influence of ESG Ratings on Earnings Management among Listed Companies in China
Authors: Raphael Ampedu , Bright Antwi Agyei , Peter Mang’ati Frank , Ankobea Boadi Joana , Gifty Boakye Boateng , Ofeibea Nunoo Linda , Nii Odoi Mensah Cornelius , Richmond Mensah
Published: September 2024

This study examines the influence of ESG (Environmental, Social, and Governance) ratings on the financial performance of listed companies in China from 2011 to 2021. With a sample of 21,289 A-share listed companies, the study employs a fixed-effects panel analysis, focusing on Return on Assets (ROA) and Return on Equity (ROE) as key financial indicators. The research incorporates comprehensive ESG ratings from the China Securities Index Company and Wind database, alongside control variables like company size, age, and industry. The findings reveal that ESG ratings significantly and positively affect financial performance, with companies exhibiting higher ESG scores demonstrating better asset management and profitability. The robustness of these results is confirmed through various tests, including substituting dependent and explanatory variables, and addressing multicollinearity concerns. The study emphasizes the increasing significance of ESG factors in the financial well-being of businesses. It demonstrates the connectedness between social responsibility and economic success. This study supports the use of stakeholder theories in examining the influence of ESG ratings on earnings management among listed companies. However, its scope is limited to China, making the findings potentially unsuitable for other developing nations.
An Effective Opinion Mining-Based K-Nearest Neighbours Algorithm for Predicting Human Resource Demand in Business
Authors:   Computer Science and Engineering, Eudoxia Research University, USA, Gupta Shashi Kant
Published: September 2024

The process of estimating and preparing for an association's future supply and management of human resources is known as human resource planning (HRP). It is a significant section of directorial development. This study suggested a novel technique to HRP demand forecasting using the Modified K-nearest neighbor (M-KNN) algorithm. M-KNN is machine learning (ML) algorithms that locate the k major comparable data sample to a new information sample and uses those data sample to forecast the value of the new sample. We generate an HR order estimate pointer organization consisting of variables that pressure HR order such as market share, sales volume, and economic conditions. We use M-KNN to find the k most similar data samples to each data point in the display organization and use those data samples to predict HR command. We assessed our M-KNN algorithm using data from a actual association and find that it can correctly forecast HR command with an fault speed of less than 5%. M-KNN is a talented advance to HRP command forecasting as it is easy to use, does not necessitate a lot of data, and can exactly predict HR command in the attendance of non-linearity and haziness.
A Drug Recommendation System for Medical Emergencies using Machine Learning
Authors: Jotawar Rajendra M , Patil Vinayak , K Vivek
Published: September 2024

In wellbeing related crises, expeditious and exact medicine proposals are pivotal for patient perseverance and powerful treatment. This paper presents a Medication Thought Framework using man-made insight techniques to motorize and refresh drug choice during central clinical circumstances. To give exact medicine suggestions, the system processes broad patient information, like clinical chronicles and persistent prosperity markers. High precision and trustworthiness are ensured by the framework’s center, which is comprised of state of the art calculations for picture handling, include extraction, and order. A confusion organization is used to support the structure’s display, demonstrating its superiority to existing mental models and expanding its potential for emergency clinical consideration
Skin Disease Prediction Using Deep Learning
Authors: Rashid Mudasir , Gowda Abhishek
Published: September 2024

Diagnosing skin diseases can be a tricky business, requiring a lot of expertise and time. But what if we told you there's a way to make it faster and more accurate? Our research explores the use of deep learning to predict skin diseases, and the results are promising. We trained a special type of computer program called a convolutional neural network (CNN) to look at pictures of skin lesions and figure out what's going on. By feeding it a huge dataset of images, the CNN learned to recognize patterns and features that distinguish one skin condition from another. To make it even better, we used some clever tricks like transfer learning and data augmentation to fine-tune the model. By the use of attention mechanism and multidimensional fusion model became more efficient. This means that doctors could soon have a powerful tool to help them diagnose skin conditions quickly and accurately. Our research shows that deep learning has the potential to revolutionize the way we diagnose skin diseases. With this technology, doctors can make more accurate diagnoses, and patients can get the treatment they need sooner.
La educación en la Gestión de Riesgo de Desastres
Authors: Quispe Choque Santos Luis
Published: September 2024

PROBLEMA: La educación en la Gestión de Riesgo de Desastres carece de un enfoque proactivo relacionado con la reducción del riesgo de desastres. OBJETIVO: Analizar a través de una lógica distinta la gestión de riesgo de desastres que permita abordar la reducción de riesgo de desastres. MÉTODO: Se aplicó el método analítico sintético, esto con el fin de comprender por partes el objeto de estudio que, en este caso es la gestión de riesgo de desastres, para luego hacer un análisis de los mismos de manera conjunta y comprender la importancia de la reducción del riesgo de desastres. RESULTADOS: Como resultado se obtendrá el análisis proactivo de la reducción del riesgo de desastres a través de una lógica distinta. CONCLUSIÓN: el análisis de la gestión de riesgo de desastres a través de una lógica distinta permitirá abordar la reducción de desastres como una acción proactiva en la temática estudiada.
“Indigenous in Me: Nemachtili in Freirean and Critical Indigenous Methodologies”
Authors: Zamora Brian
Published: September 2024

I raise the questions: How does nemachtili encompass a Freirean and critical Indigenous methodology to address learning spaces? How is nemachtili articulated in an online learning space? This study engages nemachtili through a critical case study of an online course for Chicano youth as a research approach responsive to the racialized settings that Chicanos inhabit.
Journal Statement on Palestine and Palestinian Liberation
Authors: Tafari Menelik
Published: September 2024

At a time when we should be focused on establishing a heliocentric view of identity that sees us all fighting to protect life on this planet and whatever miracles we may find in our solar system, we continue to find our institutions of higher learning entrenched with the interests of warmongers, war criminals, and human rights violators. The UC has failed to call for a ceasefire or review its investments and support of Israel's war effort. The UC has spent over $30 billion towards genocide. No longer can we, as students and staff, stand behind our University contributing to the demolition of dozens of educational institutions in Palestine. Our work as educators is compromised when we stand by those who kill children, students, teachers, and administrators. It compromises our values when our research is used to whitewash a land, and erase a people’s cultural and historical heritages and histories from the face of the Earth. We cannot sit idly by while our University resources continue to contribute to apartheid and genocide, the murder of thousands of her students and teachers, and the massacre of tens of thousands of children and their families. How can UCLA keep its motto, Fiat Luxe, Let there be light, when the administration attempts to obfuscate, deny, and conceal the violence being committed in collaboration with our administration? Let there be shame.
Elevated expression of NLRP3 promotes cigarette smoke-induced airway inflammation in chronic obstructive pulmonary disease
Authors: Wang Min , Peng Junjie , Yang Mei , Chen Jun , Shen Yongchun , Liu Lin , Chen Lei
Published: September 2024

Introduction

NOD-like receptor protein 3 (NLRP3) is implicated in chronic obstructive pulmonary disease (COPD) pathogenesis. Here, we explored the role of NLRP3 in cigarette smoke (CS)-induced airway inflammation in COPD.

Material and methods

NLRP3 expression level was assessed with the microarray data in GEO datasets and validated in serum by ELISA from a case-control cohort. Male C57BL/6J mice were randomly divided into: saline, CS, MCC950 (a specific NLRP3 inhibitor, 10 mg/kg) and CS + MCC950 (5 mg/kg and 10 mg/kg) groups (n = 5 per group). All mice were exposed to CS or air for 4 weeks. Then, broncho-alveolar lavage (BAL) fluid and lung tissues were collected for cell counting, ELISA, HE staining and RNA sequencing with validation by real-time qPCR.

Results

Compared to non-smokers, NLRP3 expression was significantly elevated in the lung tissues and sera of COPD smokers. CS remarkably induced airway inflammation in mice, characterized by an increase of inflammatory cells and proinflammatory cytokines in BAL fluid and HE inflammatory score, which were ameliorated by MCC950 treatment dose-dependently. Subsequently, 84 candidate genes were selected following RNA sequencing, and five hub genes (Mmp9, IL-1α, Cxcr2, Cxcl10, Ccr1) were then identified by PPI and MCODE analyses, which were confirmed by real-time qPCR. GO and KEGG analysis suggested that the five genes were enriched in a complicated network of inflammatory processes and signaling pathways.

Conclusions

NLRP3 expression is elevated in lungs and sera of COPD smokers. Inhibition of NLRP3 significantly attenuates CS-induced airway inflammation in mice via inactivation of multiple hub genes and their related inflammatory processes and signaling pathways.
ICT IN EDUCATION AND THE USE OF VIRTUAL LEARNING ENVIRONMENTS
Authors: Luís Bender André , Íris Antunes de Carvalho Antônia , Porto Veiga Diego , Carla Beserra da Fonseca Elizangela , Pereira Albuquerque Hildelane , Jorge Pereira dos Reis João , Borges Silva Serejo Marizete , Lúcia Albuquerque Valéria , Bezerra de Lira Vildáquita
Published: September 2024

In human societies, the desire to adapt the environment to their needs has resulted in technological inventions that have gradually changed the ways of living, social interaction and the ways of producing work, and more recently, Information and Communication Technologies (ICT). With ICT being used as a form of social and everyday interaction and replacing textbooks, a new way of connecting to knowledge and a new student profile has emerged. At the same time, the context of the digital society itself requires the development of skills that enable the critical and creative use of ICT, which is essential for entering the job market and for everyday life itself. Given the increased use of technologies, the idea has emerged that aligns the use of ICT with an educational environment that prepares students for this new reality. As a result, there has been not only the insertion of digital technologies into pedagogical practice, but also artificial intelligence and virtual learning environments, inserting technologies into an educational context called Education 4.0. In this context, the aim of this article is to investigate the possibilities and advantages of using digital technologies as a teaching resource in terms of developing skills and competencies inherent to creation, the critical and creative use of technologies and, more specifically, the use of virtual learning environments in the context of face-to-face teaching in basic education.
Os limites da crítica entre a teoria e os afetos
Authors: Campello Filipe
Published: September 2024

No artigo, Filipe Campello responde às críticas recebidas no dossiê sobre seu livro Crítica dos Afetos. O autor reflete sobre a tensão entre preservar tradições teóricas e a necessidade de afastar-se delas, especialmente em relação a conceitos como racionalidade, universalidade e os limites do escopo das teorias normativas. Retomando a distinção entre duas ordens de justiça – reconhecimento epistêmico e critérios de justificação –, o autor visa esclarecer os principais argumentos do livro, destacando a relevância de reformular o vocabulário político dominante. Mais do que esgotar a discussão, o autor pretende dar continuidade a uma proposta de debate de ideias com campos distintos de desdobramento.
Para uma ecologia dos afetos
Authors: Holmes Pablo
Published: September 2024

O artigo defende que uma teoria da justiça adequada para a sociedade mundial pós-colonial deve considerar a diversidade de realidades e perspectivas que articulam gramáticas morais diversas. Partindo do debate acerca de uma crítica dos afetos, tal como proposta por Filipe Campelo, eu argumento que é necessária uma mudança do paradigma em que se baseiam as teorias da justiça-velho-europeias na direção de uma teoria da justiça ecologicamente orientada que seja sensível a diferentes princípios da justiça. Nesse sentido, também as premissas do construtivismo universalista de uma teoria do discurso são insuficientes. Uma teoria da justiça ecologicamente orientada deve ser sensível ao meio ambiente natural, humano e epistemológico das instituições modernas. Isso implica que, em vez de pressupostos abstratos universais, tal teoria deve ser reflexiva sobre seus próprios limites e parcialidade.
Studies on biopolymer -Based Nanocomposites reinforced with metallic Nanoparticles
Authors:   Department of Chemistry Gurukul Kangri (Deemed to be University) Haridwar -249404, Uttarakhand, India, Saini Sakshi , Saini Teena , Verma Vratika , Meena Jagram
Published: September 2024

Advancements in biopolymer-metallic nanocomposites have led to diverse applications, including drug delivery, biosensing, bone regeneration, solar cells, and supercapacitors. This development supports sustainable progress through a biomimetic approach where the integration of metallic nanoparticles plays a crucial role. This paper reviews how functionalizing metallic nanoparticles using various methods can prevent agglomeration and enhance the thermal, mechanical, and electrical properties of biopolymers. It details the improvements in properties and potential applications achieved by the incorporation of metal-based nanofillers into biodegradable biopolymers. The benefits of metallic nanoparticles such as their high aspect ratio, biocompatibility, low density, and high mechanical strength are highlighted as key factors in boosting biopolymer performance. The review summarizes the mechanism and structural changes in biopolymers to provide researchers with insights into these elements.
Faktor-Faktor yang Mempengaruhi Penyerapan Anggaran pada Kabupaten Aceh Jaya
Authors: Dewi Sartika  , Sapna Julita Roza
Published: September 2024

This study aims to test the competence and determine the effect of budget planning and human resources on budget absorption. The population in this study were 49 employees who worked at the Department of Marine Affairs and Fisheries of Aceh Jaya Regency. The sample was carried out by purposive sampling technique, and obtained a sample of 30 people. The results showed that budget planning had a significant effect on budget absorption, while the availability of human resources had no significant effect on budget absorption. Finally, budget planning and human resource competence have a significant effect on the budget together.
 
AbstrakPenelitian ini bertujuan untuk menguji dan mengetahui pengaruh perencanaan anggaran dan kompetensi sumber daya manusia terhadap penyerapan anggaran. Populasi pada penelitian ini adalah pegawai yang bekerja di Dinas Kelautan dan Perikanan Kabupaten Aceh Jaya sebanyak 49 orang. Adapun pemilihan sampel dilakukan dengan teknik purposive sampling, dan di peroleh sampel akhir sebanyak 30 orang. Hasil penelitian menunjukkan bahwa perencanaan anggaran berpengaruh signifikan terhadap penyerapan anggaran, sedangkan kompetensi sumber daya manusia tidak berpengaruh signifikan terhadap penyerapan anggaran. Terakhir perencanaan anggaran dan kompetensi sumber daya manusia berpengaruh signifikan secara bersama-sama terhadap penyerapan anggaran.
PELAYANAN KEPOLISIAN PADA MASYARAKAT DI SENTRA PELAYANAN KEPOLISIAN TERPADU (SPKT) POLRES KABUPATEN MELAWI
Authors: Sobian Pether
Published: September 2024

Tujuan yang ingin dicapai dalam penelitian ini adalah mengetahui dan mendeskripsikan Pelayanan Kepolisian pada Masyarakat di Sentra Pelayanan Kepolisian Terpadu (SPKT) Polres Kabupaten Melawi. Metode penelitian ini menggunakan penelitian deskriptif kualitatif. Subjek dalam penelitian ini berjumlah 3 (tiga) orang yaitu; 1). Kabag  Ops SPKT Polres Kabupaten Melawi.  2). Anggota Kepolisian yang bertugas pada SPKT Kabupaten Melawi.  3). Anggota Masyarakat yang mendapatkan pelayanan pada SPKT Kabupaten Melawi. Teknik penelitian yang digunakan dalam pengumpulan data adalah teknik wawancara, observasi atau pengamatan dan studi dokumentasi dengan analisis data menggunakan metode analisis data kualitatif.
Hasil dari penelitian ini menunjukan bahwa Pelayanan Kepolisian pada Masyarakat di Sentra Pelayanan Kepolisian Terpadu (SPKT) Polres Kabupaten Melawi sudah berjalan atau dilaksanakan oleh Sentra Pelayanan Kepolisian Terpadu (SPKT) Polres Kabupaten Melawi, khususnya pada aspek Mekanisme Pelayanannya, dimana pihak Polres Melawi memberikan layanan kepada masyarakat sesuai dengan mekanisme yang ditetapkan oleh undang-undang. Pelayanan kepada masyarakat sudah diberikan sesuai mekanisme pelayanan yang ada.  Aspek Sarana dan Prasarana sudah tersedia, komputer, laptop, printer, alat tulis kantor, meja dan kursi sebagai bagian dari pelayanan kepada masyarakat. Aspek sumber daya manusia dapat dibagi dalam dua bagian yaitu kuantitas dan kualitas. Dari aspek kualitas sumber daya manusia sudah cukup memadai namun dari sisi kuantitas sumber daya manusia masih diperlukan.
            Kesimpulannnya bahwa Pelayanan Kepolisian pada Masyarakat di Sentra Pelayanan Kepolisian Terpadu (SPKT) Polres Kabupaten Melawi dalam aspek Mekanisme pelayanan pihak SPKT sudah memberikan pelayanan kepada masyarakat sesuai prosedur dan mekanisme yang diatur oleh undang-undang. Dari Aspek sarana dan prasarana sudah cukup memadai dan dari aspek sumber daya manusia masih diperlukan dari aspek kuantitas personil. Saran: perlu adanya peningkatan sarana dan prasarana terutama jika pelayanan SPKT dilakukan diera digitalisasi dan penambahan jumlah personil yang bertugas pada Sentra Pelayanan Kepolisian Terpadu (SPKT) Kabupaten Melawi.
STRATEGI PENINGKATAN KUALITAS KARYAWAN PADA PT.SAWIT KHATULISTIWA LESTARI PEDADANG ESTATE KETUNGAU HILIR KABUPATEN SINTANG
Authors: Ratnasari Evy
Published: September 2024

This study examines the strategies for improving the quality of employees at PT. Sawit Khatulistiwa Lestari Pedadang Estate in Ketungau Hilir, Sintang Regency. The focus of this research is to identify the strategies used to enhance the quality of employees at PT. Sawit Khatulistiwa Lestari Pedadang Estate. The research employs a descriptive qualitative method. The subjects of this study include managers, general employees, and employees from the R&D (Resource and Development) department. Data collection techniques used in the study are interviews, observations, and documentation studies. The results of this study indicate that the company motivates and ensures the well-being of employees as a means of improving employee quality. The management frequently conducts training to enhance employees' skills, not only in industrial activities but also in personal and self-development skills. Employee attendance is quite high, with employees arriving and leaving according to working hours and being able to perform tasks according to their positions and responsibilities. However, challenges arise from frequent budget shortages due to the fact that a large portion of PT. Sawit Khatulistiwa Lestari Pedadang Estate's land is still non-productive and in maintenance, and the process of appointing permanent employees takes a long time. Based on the conclusions above, several recommendations are suggested: Regular training for employees at PT. Sawit Khatulistiwa Lestari Pedadang Estate is needed to improve employee quality. To determine job satisfaction as an effort to improve employee quality, periodic opinion surveys should be conducted. The company's financial management needs to be improved to ensure timely wage payments. The company should seek funds that can be fully invested in maintaining the non-productive portion of the land.
CIRURGIA DE REGULARIZAÇÃO DE REBORDO ALVEOLAR PARA CONFECÇÃO DE PRÓTESE TOTAL: UM RELATO DE CASO
Authors: Silva Alexandre Thiago Pereira da , Silva Ingrid Batista Ribeiro da , Cunha Tereza Cristina Rodrigues da , Vilela Júnior Rafael de Aguiar
Published: September 2024

Esse artigo buscou relatar em um caso clínico a importância da cirurgia de regularização de rebordo alveolar para posterior confecção de Prótese total. Este relato foi realizado na clínica escola do Inapós, com revisão de literatura bibliográfica, realizada por meio de pesquisas virtuais, artigos indexados nas bases científicas: Scielo e Pubmed, para ter embasamento científico. Nesse sentido, as extrações dentárias podem alterar de forma significativa a anatomia do rebordo alveolar e se caso não for regularizado durante o procedimento, podem aparecer à presença de espículas ósseas. Essas saliências causam desadaptação e dor ao utilizar as próteses totais. Nesses casos é indicada a cirurgia de correção do rebordo alveolar e confecção de nova prótese. Paciente do sexo feminino, 67 anos, procurou a clínica escola do Inapós para troca de prótese total devido à desadaptação e dor ao usá-la. Durante o exame clínico, observou presença de saliência na maxila, indicando a cirurgia de correção de rebordo. A paciente foi submetida à cirurgia sob anestesia local e o procedimento realizado com broca minicute. Segue aguardando a cicatrização para confecção de nova prótese. Concluiu-se que a realização da cirurgia oferece condições favoráveis para instalação de novas próteses dentárias, quando a paciente segue todas as orientações pós-cirúrgicas e com uma cicatrização adequada.
CONDUTAS FISIOTERAPÊUTICAS VOLTADOS PARA PACIENTES COM CÂNCER PRIMÁRIO DE CORAÇÃO
Authors: Alves Yara Dias , Cordeiro Pricila Silva
Published: September 2024

O câncer é uma patologia, cuja, características principais é a proliferação de células nos órgãos e tecidos, independente da região onde surgiu o tumor. Para tanto, este artigo traz como temática: Condutas fisioterapêuticas voltados para pacientes com câncer primário de coração. O objetivo geral foi descrever as condutas fisioterapêuticas acerca a serem adotadas em pacientes acometidos pelo câncer de coração. É uma revisão de literatura, de natureza qualitativa a partir de estudos baseados em sites como LILACS, Scielo, Medline/pubmed, BIREME e google acadêmico. Neste viés, o estudo apontou que a atuação do Fisioterapeuta a fisioterapia oncológica enfrenta diversos desafios específicos devido à complexidade e particularidades dos pacientes com câncer, mas é de grande importância na vida destes pacientes. Seu papel abrange desde o diagnóstico até as fases mais graves da doença, baseado em condutas a fim de amenizar a dor ocasionada pela doença. Neste viés, salienta-se que os profissionais da fisioterapia precisam ter conhecimento a respeito malefícios advindos do câncer, possibilidades de tratamento e as possíveis condutas a serem adotadas, no entanto, se faz necessário mais estudos do Câncer de Coração, pois, não foram encontrados artigos recentes publicados.
Construction and Application of a Pollen Emissions Model based on Phenology and Random Forests
Authors: Li Jiangtao , An Xingqin , Sun Zhaobin , Ye Caihua , Hou Qing , Zhao Yuxin , Liu Zhe
Published: September 2024

Abstract. In recent years, the intensification of global climate change and environmental pollution has led to a marked increase in pollen-induced allergic diseases. This study leverages 16 years of continuous pollen monitoring data, alongside meteorological factors and plant functional type data, to construct a pollen emissions model using phenology and random forests (RF). This model is then employed to simulate the emission characteristics of three primary types of autumn pollen (Artemisia, Chenopod, and total pollen concentration), elucidating the emission patterns throughout the seasonal cycle in Beijing. Phenology and RF precisely simulate the start and end day of year of pollen, as well as the annual pollen production. There are significant spatiotemporal differences among the three types of pollen. On average, pollen dispersal begins around August 10, peaks around August 30, and concludes by September 25, with a dispersal period lasting approximately 45 days. Furthermore, the relationship between pollen emissions and meteorological factors is investigated, revealing that temperature, relative humidity (RH), and sunshine hours (SSH) significantly influence annual pollen emissions. Specifically, temperature and RH exhibit a strong positive correlation with annual pollen emissions, while SSH shows a negative correlation. Different pollen types display varied responses to meteorological factors. Finally, the constructed pollen emissions model is integrated into RegCM and validated using pollen observation data, confirming its reliability in predicting pollen concentrations. This study not only enhances the understanding of pollen release mechanisms but also provides scientific evidence for the selection and planting of urban greening plants.
Clouds influence the functioning of airborne microorganisms
Authors: Péguilhan Raphaëlle , Rossi Florent , Joly Muriel , Nasr Engy , Batut Bérénice , Enault François , Ervens Barbara , Amato Pierre
Published: September 2024

Abstract. Airborne micro-organisms can remain at altitude for several days exposed to multiple environmental constraints that prevent or limit microbial activity, the most important of which is probably the lack of available liquid water. Clouds, i.e. air masses containing liquid water, could offer more favorable conditions. In order to investigate the influence of clouds on the functioning of airborne microorganisms, we captured aerosols into a nucleic acid preservation buffer from a high-altitude mountain meteorological station during cloudy and clear conditions, and examined metatranscriptomes. The specificities of aeromicrobiome’s functioning in clouds compared to the clear atmosphere were then decrypted from differential functional expression analysis (DEA). The data reveal higher RNA-to-DNA content in clouds than in the clear atmosphere suggesting higher metabolic activity, and an overrepresentation of microbial transcripts related to energy metabolism, the processing of carbon and nitrogen compounds, intracellular signaling, metabolic regulations, transmembrane transports, and others. Stress response orients towards responses to osmotic shocks and starvation, rather than the defense against oxidants in clear atmosphere. Autophagy processes in eukaryotes, (macropexophagy, i.e. the recycling of peroxisomes) could help to alleviate the limited amounts of nutrients in the restricted microenvironments provided by cloud droplets. The whole phenomenon resembles the rapid resumption of microbial activity in dry soils after rewetting by rain, known as the "Birch effect", described here for the first time in the atmosphere. This work provides unprecedented information on the modulations of aeromicrobiome functioning in relation to atmospheric conditions. In addition of contributing to the processing and fate of chemical compounds in the atmosphere, cloud-induced modulations of biological processes could have ecological repercussions by shaping airborne microbial diversity and their capacity to invade surface environments.
Sectoral Vulnerability to Drought: Exploring the Role of Blue and Green Water Dependency in Mid and High-Latitudes
Authors: Stenfors Elin , Blicharska Malgorzata , Grabs Thomas , Teutschbein Claudia
Published: September 2024

Abstract. The European continent has experienced several large-scale drought events in recent years, and climate projections suggest an increasing drought risk in many parts of the world. As droughts can have large impacts on socio-hydrological systems, analyzing drought risk is an important part for proactive drought risk management and disaster risk reduction. Drought risk can be expressed as a product of hazard, exposure and vulnerability, where vulnerability is highly contextual and complex. As droughts can affect all parts of the hydrological system, from precipitation and soil moisture to groundwater and surface water reservoirs, drought vulnerability differs depending on what part of the system is studied. Building on previous results from a survey analyzing drought vulnerability across seven water-dependent sectors, this paper explores how vulnerability factors vary based on sectors’ dependency on blue water (surface and subsurface freshwater) or green water (soil moisture) in mid and high latitude regions. The findings reveal that drought vulnerability differs based on water type dependency, especially concerning water supply and species characteristics. Perceptions of vulnerability factors vary in number, category, and overall ranking, highlighting the importance of considering water dependency when choosing vulnerability factors for drought risk assessments and to clearly define the drought hazard types involved.
Extreme weather anomalies and surface signatures associated with merged Atlantic-African jets during winter
Authors: Suresan Sohan , Harnik Nili , Caballero Rodrigo
Published: September 2024

Abstract. The winter-long merging of the African and Atlantic jets is associated with extreme winter weather across the Northern hemisphere. Past studies have shown that merging of the Atlantic and African jets  is linked to weaker Atlantic eddy activity and stronger tropical heating, and is strongly correlated with a negative NAO state. In this study we examine the relation between jet merging and extreme weather, taking care to separate out the effects of the NAO and El Nino, in order to be left with the added influence of Atlantic-African jet merging. Our analysis, considering percentile exceedance and anomaly composites of surface temperature, surface wind and precipitation, identifies distinct weather signatures of merged jet winters, notably affecting the Iberian Peninsula, North Africa, southern Mediterranean, southwest Greenland, and Northern Europe.  Additionally, we analyse the relationship between merged jets and shifts in cyclone track orientation contributing to the observed extreme weather patterns over these regions. Furthermore, once we remove the NAO effect from the merged-jet surface temperature anomaly signal, we find that winter-long jet merging coincides with anomalous warm Arctic, cold Eurasia, and strong El Niño conditions. This weakens the high latitude temperature gradient which affects the midlatitude baroclinicity resulting in the weakening of eddy activity and ultimately leading to persistent jet merging. Thus the African and Atlantic jet merging during winter appears to further align with the theoretical concept that includes a dynamical regime transition of the jet from eddy driven to mixed eddy–thermally driven, consistent with the corresponding weakened mid-latitude eddies and intensified tropical heating.
Analyzing the chemical composition, morphology and size of ice-nucleating particles by coupling a scanning electron microscope to an offline diffusion chamber
Authors: Schneider Lisa , Schrod Jann , Weber Daniel , Bingemer Heinz , Kandler Konrad , Curtius Joachim , Ebert Martin
Published: September 2024

Abstract. To understand and predict the formation of clouds and rain and their influence on our climate, it is crucial to know the characteristics and abundance of ice-nucleating particles (INPs) in the atmosphere. As the ice-nucleating efficiency is a result of individual particle properties, a detailed knowledge on these properties is essential. Here, we present an offline method for the comprehensive analysis of ambient INPs that benefits from the combination of two instruments already used for ice nucleation measurements. First, the aerosol is sampled on silicon wafers. INPs are then activated at different temperature and humidity conditions in the deposition nucleation and condensation freezing mode using a static diffusion chamber. Activated INPs are located in a coordinate system, which allows for recovery of the individual particles causing the nucleation in a scanning electron microscope. Here, the size, chemistry and morphology of the particles are identified. Finally, the INPs are classified into categories based on their measured properties. As a result, a size resolved spectrum of the INP classes can be determined. The performance of this coupling method is investigated in a case study on samples from the high-altitude field side Jungfraujoch (JFJ), Switzerland. 200 individual INPs from 14 samples obtained during a 5-week period were classified. Most deposition nucleation / condensation freezing mode INPs from Jungfraujoch, activated at −30 °C, were of irregular shape and had projected area diameters in the range from 300 nm to 35 µm, with a distinct maximum at 1–2 µm. A major contribution of mineral particles, mainly aluminosilicates / Al-rich particles, but also carbonates and silica, was identified for the entire INP size spectrum at −30°C. Further contributions were from carbon-rich particles, consisting of both smaller soot particles and larger biological particles. Mixed particles, here mostly particles rich in Al and C, were identified in higher abundances primarily between 3 µm and 9 µm. Minor contributions were seen from sulfates and metal oxides, with the latter ones found with increased proportion in the size range below 500 nm. Such results are useful for evaluating INP type-specific parametrizations, e.g., for use in atmospheric modeling, and in closure studies.
Dynamics, predictability, impacts, and climate change considerations of the catastrophic Mediterranean Storm Daniel (2023)
Authors: Flaounas Emmanouil , Dafis Stavros , Davolio Silvio , Faranda Davide , Ferrarin Christian , Hartmuth Katharina , Hochman Assaf , Koutroulis Aristeidis , Khodayar Samira , Miglietta Mario Marcello , Pantillon Florian , Patlakas Platon , Sprenger Michael , Thurnherr Iris
Published: September 2024

Abstract. In September 2023, storm Daniel formed in the centre of the Mediterranean Sea as an intense Mediterranean cyclone. Its formation was accompanied by significant socioeconomic impacts in Greece including several fatalities and severe damages to agricultural infrastructures. Within a few days, the cyclone evolved into a tropical-like storm, i.e., medicane, that made landfall in Libya, probably marking the most catastrophic and lethal weather event that was ever documented in the region. In this study, we place storm Daniel as the centrepiece of the catastrophic events in Greece and Libya. We thus consider that there is a direct link between the atmospheric processes that turned Daniel into a catastrophic storm and the actual socioeconomic impacts that a single weather system has produced in the two countries. We perform a holistic analysis that articulates between atmospheric dynamics, precipitation extremes, and quantification of impacts, i.e., floods and sea state. This is done by taking into account the predictability of Daniel at weather scales and the attribution of impacts to climate change. Our results show that Daniel initially formed like any other intense Mediterranean cyclone. At this stage, the cyclone produced significant socioeconomic impacts on Greece, in an area far from the cyclone centre. In later times, Daniel attained tropical-like characteristics while gradually reaching its maximum intensity. Impacts over Libya coincided with the cyclone's landfall at its maturity stage. The predictability of the cyclone formation was rather low even in  relatively short lead times -of the order of four days- while higher prediction skill was found when addressing the landfall in Libya for the same lead times. Our analysis of impacts shows the adequate capacity of numerical weather forecasting to capture the extremeness of precipitation amounts and floodings in Greece and Libya. Therefore, state-of-the-art numerical weather prediction has provided information on the severity of the imminent flood events. We also analyse the moisture sources contributing to extreme precipitation. Results show that moisture sources were majorly driven by large-scale atmospheric circulation, while in maturity, Daniel drew substantial amounts of water vapor from local maritime areas within the Mediterranean Sea. In a climatological context, Daniel was indeed shown to produce extreme precipitation amounts, and our analysis allows us to interpret Daniel's impacts as an event whose characteristics can be ascribed to human-driven climate change.
On Process-Oriented Conditional Targeted Covariance Inflation (TCI) for 3D-Volume Radar Data Assimilation
Authors: Vobig Klaus , Potthast Roland , Stephan Klaus
Published: September 2024

Abstract. This paper addresses a major challenge in assimilating 3D radar reflectivity data with a Localized Ensemble Transform Kalman Filter (LETKF). In the case of observations with significant reflectivity and small or zero corresponding simulated reflectivities for all ensemble members, i.e., when the ensemble spread is vanishing, the filter ignores the observations based on its low variance estimate for the background uncertainty. For such low variance cases the LETKF is insensitive to observations and their contribution to the analysis increment is effectively zero. Targeted covariance inflation (TCI) has been suggested to deal with the ensemble spread deficiency (Yokota et al., 2018; Dowell and Wicker, 2009; Vobig et al., 2021). To actually make TCI work in a fully cycled convective-scale data assimilation framework, here we will introduce a process-oriented approach to TCI in combination with a conditional approach formulating criteria under which targeted covariance inflation is efficient. The process-oriented conditional TCI addresses the challenge of underrepresented reflectivity in the prior by constructing artificial simulated reflectivities for each ensemble member based on current observations and typical convective processes. Furthermore, certain conditions are used to restrict this spread inflation process to a carefully selected minimal set of eligible observations, reducing the noise introduced into the system. We will describe the theoretical basis of the new TCI approach. Furthermore, we will present numerical results of a case study in an operational framework, for which the TCI is applied to radar observations at each hourly assimilation step throughout a data assimilation cycle. We are able to demonstrate that the TCI is able to clearly improve the assimilation of radar reflectivities, making the system dynamically generate reflectivity that would otherwise be missing. Related to this, we are able to show that the fractional skill score of radar reflectivity forecasts over lead times of up to six hours is significantly improved by up to 10 %. All results are based on the German radar network and the model ICON-D2 covering central Europe.
On the role of moist and dry processes for atmospheric blocking biases in the Euro-Atlantic region in CMIP6
Authors: Dolores-Tesillos Edgar , Martius Olivia , Quinting Julian
Published: September 2024

Abstract. Synoptic- and large-scale features such as extratropical cyclones, Rossby wave packets, and atmospheric blocking modulate the mid-latitude weather and climate. However, several studies have shown strong biases in the frequency of these features in state-of-the-art global climate models. One notable and persistent bias is an underestimation of the atmospheric blocking frequency in the Euro-Atlantic region. In this study, we validate the representation of synoptic- and large-scale features of the North Atlantic flow in eight climate models of the Coupled Model Intercomparison Project 6 (CMIP6), taking the ERA5 reanalysis as a reference. Validation includes atmospheric blocking, storm tracks, eddy heat and moisture fluxes, and warm conveyor belts (WCBs). The selected CMIP6 models underestimate the atmospheric blocking frequency over the eastern North Atlantic and Europe in winter (December to February) by up to 80 %. The frequency biases result from combined biases at different spatial and temporal scales described in the following. First, we define the background flow as the most frequent value of the latitudinal gradient of the geopotential at 500 hPa. In the CMIP6 models, the strongest latitudinal geopotential gradients are equatorward shifted in the North Atlantic basin. This shift favours more zonal and stronger winds to the south of the climatological jet. The differences in the background flow affect Rossby wave breaking and blocking onset and persistence, as illustrated by analysing the eddies in the Euro-Atlantic region. We find an equatorward shift in the eddies in CMIP6 that accelerates the mean flow in the exit region of the Atlantic jet, as indicated by a reduction of the divergence of E-Vectors. The shift in the eddies leads to a less diffluent flow in the east Atlantic and, thus, a less favourable flow for blocking formation. Second, we find a negative bias in WCB outflow frequency in the CMIP6 models in the North Atlantic. Reduced WCB outflow indicates weaker transport of low potential vorticity (PV) from the lower to the upper troposphere by moist diabatic processes and consequently weaker downstream ridge amplification and, therefore, a less diffluent flow over the eastern Atlantic and weaker diabatic contributions to blocking. The negative WCB outflow bias can be linked to an underestimation of the meridional moisture transport at low levels in the climatological WCB inflow area in the western Atlantic. Thus, the misrepresentation of moist processes contributes to the negative blocking biases. Accordingly, an improved representation of the moist processes in the next generation of climate models could improve the blocking representation.
Ocean Forecasting at the Regional Scale: Actual Status
Authors: Tonani Marina , Chassignet Eric , Cirano Mauro , Miyazawa Yasumasa , Pérez Gómez Begoña
Published: September 2024

Abstract. Operational ocean forecasting systems provide important information on physical and biogeochemical variables across global, regional, and coastal scales. Regional systems, with higher resolution than global models, capture small-scale processes like eddies and tides, but lack detailed land-sea interactions essential for coastal areas. These models, often nested within global systems, vary in spatial resolution (1–20 km) and may include biogeochemical components. While regional systems focus on physical parameters such as sea surface height, temperature, and currents, only a few incorporate biogeochemical processes. The growing demand for biogeochemical data has prompted advancements and more systems will include this component in the coming years. This paper provides an overview on status of regional forecasting systems at today, discussing examples as the Copernicus Marine Service from the OceanPredict, analysing the offer in terms of covered regions, resolution and ocean variables product catalogue.