bluuebunny/crossref_metadata_2025_split huggingface dataset:
Establishment and validation of a novel prognostic model for non-virus-related hepatocellular carcinoma
Authors: Jiang Yu , Chen Shulin , Wu Yaxian , Qu Yuanye , Jia Lina , Xu Qingxia , Dai Shuqin , Xue Ning 
Published: July 2022

Abstract
Objective
The incidence of non-virus-related hepatocellular carcinoma (NV-HCC) in hepatocellular carcinoma (HCC) is steadily increasing. The aim of this study is to establish a prognostic model to evaluate the overall survival (OS) of NV-HCC.
Methods
Overall, 261 patients with NV-HCC were enrolled in this study. A prognostic model was developed by using LASSO-Cox regression analysis. The prognostic power was appraised by the concordance index (C-index), and the time-dependent receiver operating characteristic curve (TD-ROC). The Kaplan-Meier (K-M) survival analysis was used to evaluate the predictive ability in respective subgroups stratified by prognostic model risk score. A nomogram for survival prediction was established by integrating prognostic model, TNM stage, and treatment.
Results
According to the LASSO-Cox regression result, number of nodules, lymphocyte-to-monocyte ratio (LMR), prognostic nutritional index (PNI), alkaline phosphatase (ALP), aspartate aminotransferase (AST)/alanine aminotransferase (ALT) ratio (SLR) and C-reactive protein (CRP) were included for prognostic model construction. The C-index of the prognostic model was 0.761(95%CI: 0.723 ~ 0.799) in the development and 0.795 (95%CI: 0.735 ~ 0.855) in the validation cohort, and its predictive ability better than TNM stage and treatment, the TD-ROC showed similar results. K-M survival analysis showed that NV-HCC patients with low-risk score had a better prognosis (P < 0.05). A nomogram based on prognostic model, TNM stage, and treatment was constructed with sufficient discriminatory power with C-index of 0.78 and 0.85 in the development and validation cohort, respectively.
Conclusion
For NV-HCC, the prognostic model could predict OS benefit for patients, which may be helpful to clinicians to give individualized therapeutic suggestions.
Image Denoising in the Deep Learning Era
Authors: Izadi Saeed , Sutton Darren , Hamarneh Ghassan 
Published: July 2022

Abstract
Over the last decade, the number of digital images captured per day witnessed a massive explosion. Nevertheless, the visual quality of photographs is often degraded by noise during image acquisition or transmission. With the re-emergence of deep neural networks, the performance of image denoising techniques has been substantially improved in recent years. The objective of this paper is to provide a comprehensive survey of recent advances in image denoising techniques based on deep neural networks. In doing so, we commence with a thorough description of the fundamental preliminaries of the image denoising problem followed by highlighting the benchmark datasets and the widely used metrics for objective assessments. Subsequently, we study the existing deep denoisers in the supervised and unsupervised categories and review the technical specifics of some representative methods within each category. Last but not least, we conclude the analysis by remarking on trends and challenges in the development of better state-of-the-art algorithms and future research.
Ensemble Modelling for Predicting the Relation between Bio-psychosocial Signals and Seizures using the Gradient Boosting Method
Authors: Kapoor Bhaskar , Nagpal Bharti 
Published: July 2022

Abstract
In recent years, research in the fields of brain-computer interfacing techniques and related areas are developing at a very rapid rate with the help of exploding of Artificial Intelligence, Machine Learning and Deep Learning. A new concept of Ensemble Learnings has become popular research area among the researchers related to the field of automatic classification of electroencephalograph signals for predication of mental health issues like seizures. However effective feature extraction from EEG and accurately classify them with efficient classifiers is still an important task and attracted wide attention in this area. Therefore in this paper, we presented the detailed mathematical analysis of these methods and Ensemble Learnings based EEG signals classification method for seizures using Extreme Gradient Boosting Model.Time-frequency domain based non-linear features are selected from preprocessed EEG Dataset, and PCA (Principal Component Analysis) is used for dimensionality reduction for features engineering, then optimized feature based training and testing is done for two class classification in ensemble learning method (XGBoost) and Random Forest method. Finally, both models are tested with dataset of University of Bonn, Germany to classify the signals. In addition this paper highlights the Correlation Analysis Methodology to Identify Strong Predictor and Attributes Correlation-based Attribute Ranking for the Feature Engineering which has proved to be more efficient in EEG signals Classification and provide comparative analysis with other existing models for performance evaluation in terms of accuracy, specificity and sensitivity.
Leveraging Machine Learning and Model-Agnostic Explanations to Understand Automated Diagnosis of Cardiovascular Disease
Authors: Sun Christopher , Sharma Jai , Maiti Milind 
Published: July 2022

Abstract
The pervasiveness of cardiovascular disease and physician misdiagnosis creates the urgent need for artificial intelligence models to improve diagnosis accuracy. The first objective of this study was to train machine learning models on publicly available data sets containing simple medical information of patients to diagnose cardiovascular disease. The Multilayer Perceptron (MLP) assembled for this task performed optimally with an F1 score of 0.8968. This prompted the creation of an open-source, automated cardiovascular disease diagnosis tool, powered by the MLP. The second objective of this study was to employ a meta-learning methodology called Local Interpretable Model-Agnostic Explanations (LIME) to understand the impact of different features on the model's diagnosis in the form of marginal probabilities. K-Means Clustering was employed to segment the data into ten clusters, after which each data example was passed through LIME. The resulting histograms depict the complex relationship between feature, cluster, and impact on diagnosis. A series of P-values with contrasting orders of magnitude shows the nuances in the MLP's understanding of patients from different clusters. The results of meta-learning analysis reveal that the most important features for cardiovascular disease diagnosis are fasting blood sugar, type of chest pain, and slope of the ST segment on an electrocardiogram. Future experiments should replicate the novel methodology introduced in this study on data sets containing more specialized medical features in order to gain practical medical insights about different types of cardiovascular disease represented by each cluster. Finally, feature engineering pathways should be explored with consideration of these results to create versatile diagnosis models not only for cardiovascular disease, but adaptable to other diseases as well.
Implementasi Perkuliahan Keterampilan Berbahasa secara Daring
Authors: Indonesia Tadris Bahasa , Maulida Siti Zumrotul , Kusumawati Hesty 
Published: July 2022

Online lectures demand creativity in all respects for both the teachers and the learners. In lecturing, Indonesian language skills for the collegians in Teacher Education at the Islamic State Islamic School (PGMI) major UIN Sayid Ali Rahmatullah Tulungagung (UIN SATU), especially during the Final Semester Examination (UAS), certain methods are needed so that the main objectives of the lecture can be achieved. At UAS Even of 2020/2021, collegians practice the results of attending Indonesian Language Skills lectures for one semester by teaching the Language Skills to elementary (MI/SD) students who live around their homes. The results of practicing these skills are made in the form of a report. Furthermore, the results of the report are used as a source of data in the form of documents and will be analyzed through the Miles and Huberman model (Sugiyono, 2016). The type of research used in this research is literature study by tracing several references in the library. The data findings will be discussed in accordance with online learning innovations (Harmanto, 2020). The results showed a positive response from parents and students. In addition, there are also several obstacles, including students who do not focus on learning, are not serious, are anxious, and so on.
Direct assessment of background leakage levels for individual district metered areas (DMAs) using correspondence of demand characteristics between DMAs
Authors: van Thienen Peter 
Published: July 2022

Abstract
This paper proposes a new approach to rank a group of district metered areas (DMAs) in terms of background and unreported leakage rate and to quantify background/unreported leakage levels for individual DMAs in this group. This is done using an extension of the comparison of flow pattern distributions or CFPD method. The approach presented is based on an assumption of similarity in demand behavior between different DMAs. It requires no other data than net inflow timeseries for the DMAs or supply areas under consideration, and no assumptions other than that of similarity of demand. As such, it provides a low-data-requirements method for the evaluation of background and unreported leakage that does not share underlying assumptions with the commonly used mininum night flow method and may potentially present a supplement or alternative to it. The approach is validated using numerical simulations and applied to flow data of a set of DMAs from the Netherlands.
Uji Kualitas Data Pengukuran Batimetri Singlebeam Echosounder Berdasarkan SNI-7647 Tahun 2010 (Studi Kasus Survei Batimetri Menggunakan Hi-Target HD 370 di Laguna Pantai Glagah, Kulon Progo)
Authors: Sarono Sarono , Basith Abdul 
Published: July 2022

Survei batimetri merupakan kegiatan penting dalam kajian hidrografi untuk mengetahui kedalaman suatu perairan. Metode pengukuran batimetri menggunakan prinsip hidroakustik yaitu memanfaatkan cepat rambat gelombang suara di dalam air. Instrumen untuk melakukan survei batimetri dikategorikan menjadi singlebeam echosounder dan multibeam echosounder. Seiring dengan perkembangan teknologi, semakin beragam pula jenis dan merk dari instrumen untuk melakukan survei dibidang hidrografi. Beberapa instrumen untuk pengukuran kedalaman perairan dengan prinsip hidroakustik telah banyak beredar di kalangan akademisi hingga profesional. Salah satu instrumen adalah Hi-Target HD 370 yang merupakan alat dengan kategori singlebeam echosounder. Penelitian ini bertujuan untuk melakukan uji analisis kualitas data dari survei batimetri menggunakan singlebeam echosounder Hi-Target HD 370 dengan standar SNI (Standart Nasional Indonesia) yaitu SNI 7646:2010 tentang Survei hidrografi menggunakan singlebeam echosounder. Pengujian pengambilan data batimetri dilakukan di Laguna Pantai Glagah, Kolonprogo, Yogyakarta. Hasil dari pengukuran menunjukan kedalaman di lokasi kajian maksimal adalah 2,446 meter. Analisis uji kualitas data batimetri yang dilakukan diperoleh nilai dari standart deviasi instrumen ini adalah 0,008 hingga 0,283 meter dengan komposisi 90 % sampel memenuhi standart pengukuran singlebeam echosounder order khusus. Berdasarkan hasil uji kelayakan yang dilakukan instrumen Hi-Target HD 370 layak untuk digunakan dalam batimetri order khusus.
Association of Histologic Parameters with Outcome in C3 Glomerulopathy and Idiopathic Immunoglobulin-Associated Membranoproliferative Glomerulonephritis
Authors: Lomax-Browne Hannah J. , Medjeral-Thomas Nicholas R. , Barbour Sean J. , Gisby Jack , Han Heedeok , Bomback Andrew S. , Fervenza Fernando C. , Cairns Thomas H. , Szydlo Richard , Tan Sven-Jean , Marks Stephen D. , Waters Aoife M. , Appel Gerald B. , D’Agati Vivette D. , Sethi Sanjeev , Nast Cynthia C. , Bajema Ingeborg , Alpers Charles E. , Fogo Agnes B. , Licht Christoph , Fakhouri Fadi , Cattran Daniel C. , Peters James E. , Cook H. Terence , Pickering Matthew C. 
Published: July 2022

Background and objectives
C3 glomerulopathy and idiopathic Ig-associated membranoproliferative GN are kidney diseases characterized by abnormal glomerular complement C3 deposition. These conditions are heterogeneous in outcome, but approximately 50% of patients develop kidney failure within 10 years.

Design, setting, participants, & measurements
To improve identification of patients with poor prognosis, we performed a detailed analysis of percutaneous kidney biopsies in a large cohort of patients. Using a validated histologic scoring system, we analyzed 156 native diagnostic kidney biopsies from a retrospective cohort of 123 patients with C3 glomerulopathy and 33 patients with Ig-associated membranoproliferative GN. We used linear regression, survival analysis, and Cox proportional hazards models to assess the relationship between histologic and clinical parameters with outcome.

Results
Frequent biopsy features were mesangial expansion and hypercellularity, glomerular basement membrane double contours, and endocapillary hypercellularity. Multivariable analysis showed negative associations between eGFR and crescents, interstitial inflammation, and interstitial fibrosis/tubular atrophy. Proteinuria positively associated with endocapillary hypercellularity and glomerular basement membrane double contours. Analysis of second native biopsies did not demonstrate associations between immunosuppression treatment and improvement in histology. Using a composite outcome, risk of progression to kidney failure associated with eGFR and proteinuria at the time of biopsy, cellular/fibrocellular crescents, segmental sclerosis, and interstitial fibrosis/tubular atrophy scores.

Conclusions
Our detailed assessment of kidney biopsy data indicated that cellular/fibrocellular crescents and interstitial fibrosis/tubular atrophy scores were significant determinants of deterioration in kidney function.
Detección de baches y su severidad usando el Video VBOX Lite y teléfonos inteligentes
Authors: García-Ramírez Yasmany , García Fernando , Quinche Vicente , Maygua Wilman 
Published: July 2022

Los baches son un problema común en pavimentos deteriorados. Estos desniveles disminuyen la comodidad de conducción y pueden llegar a causar siniestros viales. El geolocalizar los baches y su grado severidad permitirán a los usuarios ajustar su velocidad y trayectoria en la vía deteriorada. Además, las entidades del Estado pueden planificar las intervenciones de mantenimiento en los sitios con más deterioro. Esto se podría resolver utilizando sensores como los que tienen los teléfonos celulares o el Video VBOX Lite, que tiene mayor precisión. La información recolectada por estos equipos por sí sola, no permite la geolocalización del bache o determinar su severidad; es necesario entender, procesar y evaluar esos datos para lograrlo. Por lo tanto, el objetivo de este estudio es proponer un procedimiento para detectar baches y su severidad usando el Video VBOX Lite y dos teléfonos inteligentes. Para ello, la recolección de datos se hizo en dos fases. En la fase 1, se recolectaron los baches de manera manual (posición, profundidad y diámetro). Mientras que en la fase 2 se recolectaron los datos de los sensores de los equipos colocados en un vehículo liviano. Se circuló a velocidades entre 20 a 50 km/h. Basado en estos datos, se propuso dos procedimientos uno para el Video VBOX Lite y otro para los teléfonos celulares. La precisión de los procedimientos llegó a detectar entre 71-90 % de los baches. Este procedimiento se puede adaptar como crowdsourcing para generar datos de las redes viales locales.
À Mesa, em abismo
Authors: De Magalhães Elisa 
Published: July 2022

A partir do texto À Mesa, do escritor e poeta francês Francis Ponge e publicada numa coletânea de textos de Ponge, e do livro de Derrida sobre o escritor, intitulado Signéponge = Signsponge, o(a) autor(ra) desenvolve um texto poético em abismo, sobre a coisa e o objeto, como alteridades, seu surgimento na e para a palavra, o sujeito e a assinatura, ambos espectrando um ao outro e à coisa/objeto, fazendo relações com trabalhos de artes visuais dos artistas: a dupla Andréa Hygino e Lz Coimbra, e sua série de gravuras Prova de Estado, Cildo Meireles – e os trabalhos Inmensa e Antes –, e Milton Machado – com seu trabalho Diáfora – , que têm como tema a mesa e seus desdobramentos em infinitos, abismos e sonoridades.
El Turismo Rural Comunitario y su aporte en la gestión ambiental y del patrimonio local: El caso de Isla Venado
Authors: Luis Humberto Gutiérrez Galera  
Published: July 2022

El turismo rural comunitario (TRC) ha sido un instrumento de desarrollo para diversas comunidades en Costa Rica. Su aporte al desarrollo local no se relega únicamente al ámbito económico, sino que impacta en la gestión ambiental, cultural y patrimonial de las comunidades. La valía del modelo de gestión recae en la participación comunal y su incidencia en las acciones públicas, las cuales validan el éxito de un modelo de conservación más participativo, que promueve el desarrollo local e incluye a sus habitantes en el proceso activo de protección y conservación ambiental, cultural y patrimonial. El TRC estimula y promueve una gestión activa por parte de sus pobladores, quienes asumen los retos locales con responsabilidad, y la consecuente búsqueda de alternativas que solventen e incidan en su resolución. El artículo plantea un preámbulo de sistematización de experiencia de TRC para el caso de Isla Venado, en el Golfo de Nicoya, y los visibles aportes de la organización en materia ambiental y patrimonial, este último revaloriza el espacio natural donde se encuentra localizado.
Influence of Abiotic Environmental Factors on the Growth Rate of Red Mullet
Authors: Melnikova Elena , Kuzminova Natalya 
Published: July 2022

Abstract
A study of the interannual variability of the size-age composition of M. barbatus ponticus, inhabiting the south-western shelf of the Crimea, was carried out over a five-year period (between 2016 and 2020). The influence of habitat temperature on growth rate is considered. Equations obtained characterize the size-weight growth of M. barbatus ponticus. The influence of the sea temperature on the development of individuals is considered. It is shown that with an increase in the average annual water temperature, the average annual length (correlation coefficient r = 0.97), weight (r = 0.96) and condition factor (r = 0.93) of individuals increase. It was found that red mullet has a positive allometric growth in the study area. The analysis showed that there was a close correlation between changes in the average annual temperature and the allometric growth rate b (r = 0.97). The equations of length growth of M. barbatus ponticus showed retarded linear growth of the fish living on the south-western shelf of the Crimea in comparison with other areas, Sinop region (Black Sea) and the Aegean Sea. The comparison of the effect of temperature on the size and weight parameters of M. barbatus ponticus living in the south-eastern part of the Black Sea (Sinop region) and the Aegean Sea is carried out; general patterns and differences are noted.
Trends in Total Anglers’ Catches At the Croatian Section of the Sava River Basin
Authors: Treer Tomislav 
Published: July 2022

Abstract
The aim of this research is to analyse trends of anglers’ total catches of the most important fish species caught by angling in different parts of the Sava River Basin in Croatia (Cyprinus carpio, Silurus glanis, Esox lucius and Sander lucioperca). In all investigated counties, with the exception of Vukovar-Sirmium, common carp is the dominant fish species, usually present in significantly higher quantities compared to the other three species. Only in Vukovar-Sirmium county, northern pike is the dominant species caught. In most counties there are no dramatic changes in the catches of these four fish species, apart from the usual oscillations. Due to high fishing pressure and possibly inflow of polluted water from the Bosna River, Vukovar-Sirmium county is also particularly characterised by the trend of declining catches of all four species. The significant negative correlation between the average catch and the respective value of the coefficient of variation (CV) was also found for all data.
Staging and Performing Tradition in Kosova Restaurants
Authors: Canolli Arsim 
Published: July 2022

Abstract
In this essay, I describe and discuss the ways in which tradition is demonstrated, staged and understood in Kosova restaurants. After the 1999 war in Kosova, restaurants emerged as new places, privately public and publicly private, that display local aspirations and intentions to re-invent the roots of tradition and construct routes to Europe. In addition, they illustrate the intention to modernise, and provide routines for social life and conviviality. Within the context of gastronationalism and culinary diversity, I use local language derived concepts such as katunopia and sofraisation to argue that Kosova gastronomy is undergoing continuous change and transformation characterised by a process of searching, combining, inventing and re-vitalising ‘tradition’ to build a new culinary identity.
A Systematisation of Transcriptions of Early Olonkho Recordings According to Plot Peculiarity
Authors: Koryakina Antonina Fedorovna 
Published: July 2022

Abstract
The article* presents the results of textual studies of the early recordings of the Yakut heroic epic Olonkho, recorded from the second half of the 19th century to the beginning of the 20th century. The relevance of the study is due to the fact that scientific research of the texts of the early recordings of Olonkho with full broadcasts of the plot is most widely, systematically carried out. At the same time, researchers today continue to pay less attention to early recordings of Olonkho, producing brief or incomplete schematic statements of content. A review of early texts on Olonkho shows that these reviews have incomplete, overly concise, summaries of the plot, although they do confirm the stability of the ancient thematic content, plot structure, motifs, and image system. The richness of the poetic language and the beauty of the style, and the surprisingly artistic content and archaic motifs, which can be seen even in translations, are of considerable value for establishing a full picture of the unique oral creativity of the Yakut people. This study attempts for the first time to systematise transcriptions of early recordings of Olonkho using a summary of the plot in Russian compared with a summary of the plot in the original language. The systematised texts will be used in a comparative study of Olonkho texts recorded in the 19th and 20th centuries. This analysis shows that there has been a transfer of plot with epic texts of the late period in order to maintain a degree of continuity, using both common and specific features to bridge between traditional and modern forms of Olonkho, taking into account regional and local features.
Inversion? Circus Hand-Balancing and the Discourse of the Upright Body
Authors: Damkjaer Camilla 
Published: July 2022

Abstract
In the history of the body, upright posture has been the theme of philosophical reflections on human nature and the object of scientific explorations and practical measures ensuring social norms. It is even possible to locate a certain discourse of the upright body as a model for understanding what it means to be human. However, humans have long experimented with the opposite: the inverted position. The handstand is probably the epitome of this endeavour to invert upright posture. Within circus performance, hand-balancing has been developed into an art form of its own. This article examines how hand-balancing relates to the upright body. The article argues that circus hand-balancing participates in the discourse of the upright body in a paradoxical way, both inverting and reinforcing it. The article argues that this is expressed not only on a representational level but also on the technical and experiential levels of the practice.