bluuebunny/crossref_metadata_2025_split huggingface dataset:
La Consulta Popular como Mecanismo de Protección del Medio Ambiente y de los Derechos Ambientales: Estudio de Caso Cajamarca (Tolima)
Authors: Cortés Torres Jairo Andrés 
Published: February 2023

La consulta popular en Colombia, se ha erigido como un mecanismo de participación, elevado al rango constitucional que ha permitido que las comunidades puedan tener la posibilidad de tomar decisiones en aspectos relevantes para su vida, frente a la explotación del subsuelo, el Estado es el competente y propietario para decidir en todo el territorio nacional, lo ha llevado en algunos casos, a desconocer la opinión de las comunidades que se asientan sobre los yacimientos, ello ha generado que la consulta popular, sea un mecanismo para que estas comunidades se pronuncien y decidan sobre permitir o no, proyectos de extracción de materias primas o minerales preciosos que consideran podrían afectar su derecho fundamental al medio ambiente sano.
Lo anterior, ha generado todo tipo de pronunciamientos a favor o en contra de las decisiones adoptadas por la comunidad, no obstante a ello, dentro del sistema jurídico colombiano, no se habían generado tensiones en este aspecto toda vez que el Estado, desde su componente central, es quien toma decisiones, sin necesidad de consultarle a las comunidades, a pesar de que con el proyecto de extracción, se verán directamente afectados, es por ello que recientemente, la consulta popular ha tomado fuerza como en mecanismo de acceso a la justicia ambiental en sentido amplio, pues su ejercicio ha permitido brindar herramientas jurídicas a la comunidad como respuesta, a los imperativos que desde el gobierno central se realiza, respecto de la utilización del subsuelo en las comunidades, visibilizando su derecho a participar en las decisiones que afectan el medio ambiente y generando un contrapeso al poder que sobre esta materia tiene el Estado.
LaQshya- an uphill climb: a review of implementation of LaQshya programme at a tertiary centre in Chennai
Authors: M. Mahalakshmi  , K. Kanmani  , Vidyaa U. Kirubanidhi  , S. Swetha  
Published: February 2023

LaQshya- labour room quality improvement initiative, a National Quality Assurance Programme was launched by the National Health Mission, Government of India in 2017 for improving the quality of services provided at the time of delivery and immediate post-partum period. The programme has been implemented at the Institute of Social Obstetrics, Government Kasturba Gandhi Hospital for women and children from the year 2019. A plethora of changes have been brought about at the legendary institution since then. A retrospective programme review of the changes brought about at the Institute of Social Obstetrics, Government Kasturba Gandhi Hospital for Women and Children in the dimensions described under the LaQshya program i.e.; structural improvement and process improvement and henceforth a comparison of the various outcome as key performance indicators before and after the implementation of the programme. The quality of Institute of Social Obstetrics Government Kasturba Gandhi Hospital started at the bottom with 40%, under the guidance of LaQshya has improved to an astounding 93% making us the proud bearers of the prestigious platinum badge which was evident with the obvious improvement in various outcome indicators. Despite the implementation, LaQshya was an uphill trudge, to break old habits and restrain into new norms and guidelines, the results as mentioned proved to be a beautiful view at the end of the climb. LaQshya is indeed a boon not only to the mothers benefiting from it but also to the service provider as a tool to be a better health care personnel.
Peranan Masyarakat Dalam Mengolah Limbah Cair Industri Penyamakan Kulit
Authors: Fernanda Ditya Metta Ayu , Rachmi Handayani I Gusti Ayu Ketut , Karjoko Lego 
Published: February 2023

<table width="612" border="0" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="400"><p>Artikel ini mengkaji tentang pernan masyarakat dalam mengolah limbah cair industri penyamakan kulit di Kabupaten Magetan. Kabupaten Magetan terkenal akan sentra industri penyamakan kulit di Jawa Timur yang mengalami pertumbuhan setiap tahunnya. Kondisi ini ternyata memberikan dampak negatif terhadap lingkungan, terlebih lagi adanya limbah cair yang dihasilkan dalam proses produksi tersebut. Maka, diperlukan adanya partisipasi masyarakat dalam pengolahan limbag cair industri penyamakan kulit di Kabupaten Magetan. Metode penelitian yang digunakan adalah penelitian hukum empiris yuridis yang bersifat deskriptif. Pendekatan penelitian yang digunakan adalah pendekatan kualitatif. Sumber data meliputi bahan hukum primer, dan sekunder. Teknik pengumpulan data yang digunakan adalah teknik wawancara, observasi dan dan studi dokumen. Selanjutnya teknis analisis yang digunakan adalah teknik analisis kualitatif yang mengedepankan penelitian di lapangan kemudian dihubungkan dengan teori dan kaidah hukum yang sejalan dan terarah. Lokasi penelitian yaitu di Desa Ringinagung dan di UPT Industri Kulit Kabupaten Magetan. Penelitian ini bertujuan untuk mengetahui bentuk partisipasi masyarakat dalam mengolah limbah cair serta efektivitas partisipasi masyarakat dalam mengolah limbah cair di kawasan industri penyamakan kulit yang berada di Kabupaten Magetan. Dengan adanya partisipasi masyarakat dalam mengolah limbah cair ini sudah sesuai dengan prosedur dan dalam melakukan pencegahan pencemaran telah berjalan sesuai dengan peraturan perundang-undangan namun masih banyak mengalami beberapa kendala.</p><p> </p><p> </p><p> </p><p> </p></td></tr></tbody></table>
Tinjauan Hukum Terhadap Pelaksanaan Pemungutan Pajak Kendaraan Bermotor Pada UPPD SAMSAT Wilayah Kota Tegal
Authors: Nurbaiti Fatma , Sugandha Wasis 
Published: February 2023

<p><em><span lang="IN">This study describes and examines the problems</span><span lang="IN"> </span><span lang="IN">regarding the implementation of motor vehicle tax collection at the UPPD SAMSAT of Tegal City and secondly the obstacles in the implementation of motor vehicle tax collection at the UPPD SAMSAT of Tegal City. This research is a prescriptive and applied legal research with a statutory and conceptual approach. The research data sources consist of primary data obtained from observations and interviews, secondary data sources consist of primary legal materials and secondary legal materials. Data collection techniques through interviews and literature studies as well as data analysis techniques are deductive. The results showed that, firstly, the implementation of motor vehicle tax collection at the UPPD SAMSAT of Tegal City was appropriate and following the laws and regulations, but there were still many motor vehicle tax arrears recorded at the UPPD SAMSAT of Tegal City. The income from the motor vehicle tax sector is not optimal because there are several obstacles that occur in the implementation of motor vehicle tax collection at the UPPD SAMSAT Tegal City.</span></em></p><p>Penelitian ini mendeskripsikan dan mengkaji permasalahan, pertama mengenai pelaksanaan pemungutan pajak kendaraan bermotor pada UPPD SAMSAT Wilayah Kota Tegal dan yang kedua hambatan dalam pelaksanaan pemungutan pajak kendaraan bermotor pada UPPD SAMSAT Wilayah Kota Tegal. Penelitian ini merupakan penelitian hukum yang bersifat preskriptif dan terapan dengan pendekatan perundang-undangan. Sumber data penelitian terdiri dari data primer yang diperoleh dari observasi dan wawancara, sumber data sekunder terdiri bahan hukum primer dan bahan hukum sekunder. Teknik pengumpulan data melalui wawancara dan studi Pustaka serta teknik analisis data bersifat deduktif. Hasil penelitian menunjukkan bahwa, pertama pelaksanaan pemungutan pajak kendaraan bermotor pada UPPD SAMSAT Wilayah Kota Tegal telah sesuai dan mengikuti peraturan perundang-undangan, namun masih banyak tunggakan pajak kendaraan bermotor yang tercatat pada UPPD SAMSAT Wilayah Kota Tegal. Tidak optimalnya pendapatan dari sector pajak kendaraan bermotor karena ada beberapa hambatan yang terjadi dalam pelaksanaan pemungutan pajak kendaraan bermotor pada UPPD SAMSAT Wilayah Kota Tegal.</p>
Pelaksanaan Pemungutan Pajak Reklame Oleh Badan Pendapatan Pengelolaan Keuangan dan Aset Daerah Kota Surakarta Berdasarkan Peraturan Walikota Nomor 58 Tahun 2019
Authors: Fadhila Annisa , Candrakirana Rosita 
Published: February 2023

<p><em>This research aims to find out the implementation of advertisement tax collection in Surakarta City based on the Mayor Regulation Number 58 of 2019 and to find out the obstacles that occur as well as the solutions to the existing obstacles.</em><em>This research is a presciptive normative legal research using a statutory research approach. The data sources of this research are from primary data sources and secondary data sources. Data collection techniques used is interview at Office of the Regional Financial and Asset Management Revenue Agency (BPPKAD) Surakarta City and also document study or library study used. The analysis technique used in this research is the syllogism method. The results of this research indicate that the implementation of advertisement tax collection in Surakarta City is in accordance with The Mayor Regulation Number 58 of 2019. However, there are still obstacles happen in the implementation of advertisement tax collection in Surakarta City, namely the lack of public awareness in paying taxes on time also there are still many people who put up illegal advertisements or unpermitted advertisements that neglecting the beauty and the environment in Surakarta City.</em></p>
Peran Dinas Sosial dalam Penertiban Gelandangan dan Pengemis di Kota Surakarta
Authors: Prastiwi Agustin Mega , Waluyo Waluyo , Najicha Fatma Ulfatun 
Published: February 2023

<em><span lang="EN-US">This legal research describes and examine two problems. First, how sosial service take action in put in order homeless and beggars according to government rules number 31 year 1980, about countermeasures homeless and beggars in Surakarta city in put in order homeless and beggars. Second, which hinders factors that made Surakarta Social Services (Dinas Sosial Surakarta) in put in order homeless and beggars. This research is normative legal research with prescriptive character and using statutes approach. Legal material primary source is the legislation rule and legal material secondary source are books, article journals, science article, and interviews. This research using silogisme methods with deductive mind patterns with collection technique materials are using study documents and interviews. The purpose from this research consists of two purpose which are subjective and objective. Based on the results of this study, it can be conclude that the role of the Surakarta Social Service in an effort to put in order homeless and beggars under government regulations number 31 year 1980 , is not yet working effectively. Due to the obstacle factors that affect the effectiveness of the role of the Surakarta City Social Service, namely the absence of a halfway house for homeless people and beggars in order to develop their personalities to be a better person, so can reduce the number of beggars in the city of Surakarta. Lack of cooperation between agencies such as the Social Service and Satpol PP. In addition, there is no Surakarta City regulation regarding efforts and sanctions for homeless people and beggars.</span></em>
A scalable and real-time system for disease prediction using big data processing
Authors: ED-DAOUDY Abderrahmane , Maalmi Khalil , ouaazizi Aziza El 
Published: February 2023

Abstract
The growing chronic diseases patients and the centralization of medical resources cause significant economic impact resulting in hospital visits, hospital readmission, and other healthcare costs. This paper proposes a scalable, big data, real-time health status prediction and analytical system to filter, manage, process, predict and store streaming health data. The proposed system uses Twitter as data source, Apache Kafka as ingestion tool, Apache Spark as computing engine, Apache Cassandra as storage engine and Apache Zeppelin as analytical tool. Proposed Spark Parallel Random Forest (SPRF) is used as data classifier. The idea is to use Twitter as a communication channel to transmit data generated by IoT medical devices to a system to perform analytics in a real-time fashion, using streaming. Thus, Twitter users tweet attributes related to health, Kafka streaming receives all desired tweets attributes and ingest them to Spark streaming. Here, a machine learning algorithm model is applied to predict health status and send back a response message through Kafka. The result will be saved into distributed database for historical data analysis and visualization. The system has been tested with a Heart disease dataset from UCI. RF classification performances are compared to other machine learning classifiers of Apache Spark MLlib library. To test the system scalability, a comparative study between execution time of RF on Spark environment and on WEKA for both training and application stages. The results show significant better performances of Spark cluster in terms of scalability and computing times.
Blood Meal Identification Reveals Extremely Broad Host Range and Host Bias in a Temporary Ectoparasite of Coral Reef Fishes
Authors: Hendrick Gina , Nicholson Matthew , Pagan Andres , Artim John , Dolan Maureen , Sikkel Paul 
Published: February 2023

Abstract
Appreciation for the role of cryptofauna in ecological systems has increased dramatically over the past decade. The impacts blood-feeding arthropods, such as ticks and mosquitos, have on terrestrial communities are the subject of hundreds of papers annually. However, blood-feeding arthropods have been largely ignored in marine environments. Gnathiid isopods, often referred to as “ticks of the sea”, are temporary external parasites of fishes. They are found in all marine environments and have many consequential impacts on host fitness. Because they are highly mobile and only associated with their hosts while obtaining a blood meal, their broader trophic connections are difficult to discern. Conventional methods rely heavily on detecting gnathiids on wild-caught fishes. However, this approach typically yields few gnathiids and does not account for hosts that avoid capture. To overcome this limitation, we sequenced blood meals of free-living gnathiids collected in light traps to assess the host range and community-dependent exploitation of Caribbean gnathiid isopods. Using fish-specific COI (cox1) primers, sequencing individual blood meals from 1,060 gnathiids resulted in the identification of 70 host fish species from 27 families. Comparisons of fish assemblages to blood meal identification frequencies at four collection sites indicated that fishes within the families Haemulidae (grunts) and Lutjanidae (snappers) were exploited more frequently than expected based on their biomass, and Labrid parrotfishes were exploited less frequently than expected. The broad host range along with the biased exploitation of diel-migratory species has important implications for the role gnathiid isopods play in Caribbean coral reef communities.
Intelligent noise suppression for gravitational wave observational data
Authors: Wang He , Ren Zhixiang , Zhou Yue , Guo Zong-Kuan , Cao Zhou-Jian 
Published: February 2023

Abstract
With the advent of gravitational-wave astronomy and the discovery of more compact binary coalescences, data quality improvement techniques are desired to handle the complex and overwhelming noise in gravitational wave (GW) observational data. Though recent studies have shown promising results for
data denoising, they are unable to precisely recover both the GW signal amplitude and phase. To address such an issue, we develop a deep neural network centered workflow, WaveFormer, for significant noise suppression and signal recovery on observational data from the Laser Interferometer Gravitational-
Wave Observatory (LIGO). The WaveFormer has a science-driven architecture design with hierarchical feature extraction across a broad frequency spectrum. As a result, the overall noise and glitch are decreased by more than 1 order of magnitude and the signal recovery error is roughly 1% and 7% for the phase and amplitude, respectively. Moreover, we achieve state-of-the-art
accuracy on reported binary black hole events of existing LIGO observing runs and substantial 1386 years inverse false alarm rate improvement on average. Our work highlights the potential of large neural networks and can be extended to the data processing analyses of upcoming observing runs.
High Prevalence of Anticoagulant Rodenticide Exposure in New England Fishers (Pekania pennanti)
Authors: Buckley Jacqueline Y. , Cottrell Walter , Needle David , Royar Kimberly , Tate Patrick , Whittier Christopher 
Published: February 2023

Abstract
Anticoagulant rodenticides (ARs) are increasingly recognized as a threat to non-target species including native wildlife. Fishers (Pekania pennanti) are generally considered deep forest inhabitants that are not expected to have high exposure to ARs. To evaluate the distribution and levels of ARs in fishers, we analyzed liver samples from fisher carcasses (N = 45) opportunistically trapped across Vermont and New Hampshire between 2018 and 2019. Liquid chromatography-mass spectrometry was used to detect and quantify 11 different ARs in the liver tissue of each fisher at the time of trapping. All but one sample analyzed were positive for exposure to ARs, and 84% were positive for more than one type of AR. The most prevalent ARs detected were diphacinone (96%) and brodifacoum (80%). No samples had detectable levels of coumachlor, coumafuryl, difenacoum, pinodone, or warfarin. These results are mostly consistent with findings for fishers in the Pacific Northwest as well as with a variety of rodent specializing avifauna throughout the Northeastern USA, but show a higher prevalence of exposure and a different distribution of AR types than other studies. These results help establish current baseline exposure to ARs in fishers in the Northeast USA and suggest that ARs could pose a threat to wild mesocarnivore species in this region.
Multi-purpose biorefineries and their social impacts: A systematic literature review
Authors: Santos Dayvid Souza , Ianda Tito Francisco , de Carvalho Priscila Pereira Suzart , de Camargo Pedro Luiz Teixeira , Santos Fárlei Cosme Gomes dos , Alzate Carlos Ariel Cardona , Pessoa Fernando Luiz Pellegrini , Kalid Ricardo de Araújo 
Published: February 2023

Abstract
Multi-product biorefineries are very promising industries to diversify the economy of countries since they have a productive matrix with a biological characteristic capable of processing various types of biomass with applications in pharmaceutical, renewable energy, and other industries. In this context, this research carries out an analysis of the literature on biorefineries and the methods of assessing social impacts that consider quality of life, employment, and stakeholders, among other metrics, as guided by the United Nations – UN. A systematic review combined with bibliometric, semantic, and content analysis was carried out by searching scientific documents in the Scopus and Web of Science databases. A total of 116 articles were located, of which twenty-three were selected by three researchers to compose the research. The Fleiss Kappa Index was applied to verify the agreement of the evaluators' decision regarding the inclusion and exclusion of articles, they obtained K = 0.43 above the tolerable limit defined for the inclusion of articles, which is K ≥ 0.21Therefore, all twenty-three articles were included. The results indicate that most biorefinery projects consider optimization and econometric methods and especially the employment metric, therefore, understood as insufficient for assessing social impacts. On the other hand, projects whose methods consider Social Life Cycle and Multicriteria are more consistent for assessing the social impacts of biorefineries, as they allow an analysis of qualitative and significant information.
Genomic Determinants of Long COVID
Authors: Corpas Manuel , Pintos Ilduara , Moreno-Torres Víctor , Freidin Maxim B. , Fatumo Segun , Corral Octavio , Soriano Vicente , Mendoza Carmen 
Published: February 2023

Abstract
Around 5–10% of adults may experience persistence of symptoms/signs beyond 4 to 12 weeks after acute SARS-CoV-2 infection. According to the World Health Organization, up to 40 million people suffer from Long COVID in Europe and the USA alone. The Centers for Disease Control and Prevention have encouraged the recognition of predictors for Long COVID. Any genetic markers associated to the disease have remained elusive to date. Here we explore the potential contribution of genetic traits to Long COVID. We used a well characterized cohort of 50 individuals with definitive diagnostic criteria for Long COVID from an initial set of patients of more than 1,200 with suspected Long COVID. All were attended at Hospital Puerta de Hierro, a large regional hospital in Madrid, Spain. All subjects had tested positive for SARS-CoV-2 RNA and/or antibodies, showed clinical manifestations for more than 6 months, and developed more than 5 persistent symptoms/signs. Low pass whole genome sequencing was performed in blood specimens for our selected cohort. From hundreds of polygenic risk scores (PRS) recorded at the PGS Catalog, we tested in our selected cohort a total of 12 PRS that passed our filtering criteria. Selected PRS encompassed distinct medical conditions, including cancers, hematologic, cardiovascular, endocrine, immunologic and neurological disorders. The calculated PRS in our patients produced a distribution of scores that was compared to a control ancestry-matched general population. We found significant differences for the PRS of traits ‘Tiredness/lethargy in the last 2 weeks’ and suggestive significance for ‘Depression’ when comparing Long COVID patients and controls. Our results strongly support a genetic susceptibility for Long COVID, with those scoring high in genetic predisposition for ‘tiredness’ as more likely to develop the disease. Results shed new light into the physiopathological basis for Long COVID, contrary to opinions considering it a subjective condition.
Quantifying thermal adaptation of soil microbial respiration
Authors: Alster Charlotte , de Laar Allycia van , Goodrich Jordan , Arcus Vickery , Deslippe Julie , Marshall Alexis , Schipper Louis 
Published: February 2023

Abstract
Quantifying the rate of thermal adaptation of soil microbial respiration is essential in determining potential for carbon cycle feedbacks under a warming climate. Uncertainty surrounding this topic stems in part from persistent methodological issues and difficulties isolating the interacting effects of changes in microbial community responses from changes in soil carbon availability. To combat these challenges, we constructed a series of temperature response curves of microbial respiration (given unlimited substrate) using soils sampled from around New Zealand, including from a natural geothermal gradient, as a proxy for global warming. We estimated the temperature optima (Topt) and inflection point (Tinf) of each curve and found that adaptation of microbial respiration occurred at a rate of 0.29°C ± 0.04 1SE for Topt and 0.27°C± 0.05 1SE for Tinf per degree of warming. Our results indicate that thermal adaptation is demonstrably offset from warming and calculate the potential for both limitation and acceleration of soil C losses depending on specific soil temperatures.