bluuebunny/crossref_metadata_2025_split huggingface dataset:
La presencia y representación del desempleo de los mayores de 45 años en la prensa española
Authors: Amber Diana , Domingo Jesús 
Published: August 2022

La prensa tiene una gran influencia en la generación de opinión pública. Según la teoría de la Agenda Setting las noticias más relevantes para los medios lo serán para su público. El desempleo de los mayores de 45 años es una problemática social que afecta a muchas familias en la actualidad, sin embargo está en cuestión si los diarios le conceden suficiente importancia.
A través del análisis documental y de contenido de los principales diarios españoles, este trabajo pretende dar a conocer qué cobertura ofrece la prensa española a la problemática social sufrida por los desempleados mayores de 45 años.
Los resultados muestran un insuficiente tratamiento del problema, con escasa especificidad en las noticias que abordan el tema, con pequeñas diferencias en función de la Comunidad Autónoma. Las noticias se enmarcan en general en contextos políticos y económicos. Sin embargo, las noticias con marco formativo y social manifiestan mayor tendencia a mostrar iniciativas de mejora para el acceso al empleo. Se concluye que el desempleo de los mayores de 45 años queda relegado a noticias puntuales y se trata en la mayor parte de los casos como un tema secundario de la noticia.
Análise de experiência da Ouvidoria SUS Bahia
Authors: Carvalho Celurdes Alves 
Published: August 2022

O artigo relata a experiência da Ouvidoria SUS/Bahia, desde sua implantação até meados do ano de 2021, por meio da análise do trabalho desenvolvido. Descreve também o papel por ela desempenhado na luta pela garantia do direito à saúde, demonstrando seus avanços e desafios no Estado, como ouvidoria do Sistema Único de Saúde. Está estruturado em três seções, as quais pretendem descrever de forma clara e objetiva sua atuação, através das fases vivenciadas. A sua especificidade é realçada, como órgão público de saúde, amparado pela legislação do SUS, vislumbrando a descentralização em todo o Estado, com o objetivo de ampliar a participação cidadã e, consequentemente, o acesso ao seu direito à saúde. A primeira fase discute a implantação e a formação da Rede de Ouvidorias do SUS Bahia, e a sua articulação com a Ouvidoria Geral do Estado. A segunda foca na estruturação do atendimento e na ampliação da Rede. A terceira descreve o trabalho de qualificação das ouvidorias do SUS, com ênfase na descentralização do serviço, através da implantação nas secretarias municipais da saúde no estado.
Urząd kościelny jako służba Ewangelii. Od reformacyjnego postulatu do ekumenicznego konsensusu
Authors: Porada Rajmund 
Published: August 2022

Relacja urzędu kościelnego i Ewangelii jest kluczowym problemem w relacjach ekumenicznych, zwłaszcza z Kościołami poreformacyjnymi. Reformacyjna krytyka dotyczyła w dużym stopniu nadużyć związanych z redukcjonistycznym sprawowaniem tego urzędu i stawianiem go ponad Ewangelię. Tymczasem właściwym jego zadaniem jest służba świadectwa wobec Bożego słowa. W ekumenicznej dobie również katolicka teologia może przyłączyć się do reformacyjnego postulatu pojmowania urzędu kościelnego w perspektywie służby Słowu. Taki sposób ujęcia wynika z ekumenicznego dialogu nad tą kwestią, zapoczątkowanego po katolickiej stronie przez nauczanie Soboru Watykańskiego II odnośnie do relacji Słowa i urzędu. Kluczowym czynnikiem tego procesu było pogłębione rozumienie sukcesji apostolskiej i dowartościowanie wierności Ewangelii jako istotnego znaku apostolskości Kościoła, zdystansowanie się zaś od rozumienia urzędu w perspektywie władzy. Postępując w chronologicznym porządku w pierwszym etapie została ukazana historyczna ewolucja w rozumieniu urzędu kościelnego w kontekście sukcesji apostolskiej. Następnie wskazano na elementy nauczania Soboru Watykańskiego II i niektórych raportów dialogu katolicko-luterańskiego stanowiących wkład do rozumienia urzędu kościelnego przede wszystkim jako służby świadectwa Słowu.
The Systematic Isolation of Key Parameters for Estimating Skeletal Maturity on Lateral Elbow Radiographs
Authors: Sinkler Margaret A. , Furdock Ryan J. , Chen Daniel B. , Sattar Abdus , Liu Raymond W. 
Published: August 2022

Background:
Skeletal maturity estimation is central in the management of scoliosis and lower-limb deformity. Utilizing demographic characteristics and modern computing, we sought to create a reliable, rapid, and accurate method for measuring skeletal maturity on an elbow radiograph.

Methods:
Utilizing the Bolton-Brush Collection, 4 parameters from the modified Sauvegrain method and 7 novel parameters were screened. Ten parameters were evaluated on serial peripubertal elbow radiographs, using Greulich and Pyle (GP) skeletal age from corresponding hand radiographs as a comparison. Stepwise linear regression and generalized estimating equations were used to identify radiographic and demographic parameters for estimating skeletal maturity based on 90% of final height. The elbow system was compared with GP only; olecranon apophysis only; age, sex, and GP; age, sex, and olecranon apophysis; age, sex, and elbow system with anteroposterior and lateral parameters; age, sex, and elbow system with anteroposterior parameters; and age, sex, and elbow system with lateral parameters.

Results:
In this study, 367 radiographs from 77 patients (40 girls and 37 boys) were included. Following stepwise linear regression, 4 radiographic parameters were included in the anteroposterior and lateral elbow system; 3 were included in the anteroposterior elbow system; and 4 were included in the lateral elbow system. The lateral elbow system predicted skeletal maturity with a mean discrepancy of 0.41 year and produced similar mean discrepancies to GP with age and sex (0.42; p = 0.93), and it trended toward better performance than the olecranon apophysis system with age and sex (0.43; p = 0.06). The lateral elbow system had the lowest percent of outlier predictions >1 year discrepant from the skeletal maturity reference (4.6%), although it was only significantly better than the GP-only group (29.4%) and the olecranon apophysis-only group (21.0%) (p < 0.001 for both).

Conclusions:
We systematically developed a lateral elbow system that performed equivalently to GP using 4 simple parameters and trended toward outperforming the olecranon apophysis systems in skeletal maturity estimation. Future clinical validation will be necessary to understand the utility of this system.

Clinical Relevance:
The lateral elbow system may be a more accurate prediction of skeletal maturity compared with the previously described olecranon apophysis system and can be used to guide the management of many pediatric orthopaedic conditions.
Current Evidence for Spinopelvic Characteristics Influencing Total Hip Arthroplasty Dislocation Risk
Authors: van der Gronde B.A.T.D. , Schlösser T.P.C. , van Erp J.H.J. , Snijders T.E. , Castelein R.M. , Weinans H. , de Gast A. 
Published: August 2022

Background:
Decreased pelvic mobility and pelvic retroversion may result from spinal degeneration and lead to changes in the orientation of the acetabular implant after total hip arthroplasty (THA). While multiple patient and surgery-related factors contribute to THA dislocations, there is increasing evidence that sagittal spinopelvic dynamics are relevant for THA stability. The aim of this systematic review was to assess the relationship between previously described sagittal spinopelvic characteristics and implant dislocations after primary THA.

Methods:
A comprehensive literature search in the PubMed and Embase databases was conducted for studies reporting on spinopelvic morphology, alignment, pathology, or surgery and THA dislocations. Risk of bias was assessed using the MINORS criteria. Because of high heterogeneity in study methodology, a synthesis of best evidence was performed. Odds ratios (ORs), relative risks (RRs), and effect sizes (g) were calculated.

Results:
Fifteen studies (1,007,900 THAs) with quality scores of 15 to 23 out of 24 were included. Nine different spinopelvic alignment parameters (8 studies, g = 0.14 to 2.02), spinal pathology (2 studies, OR = 1.9 to 29.2), and previous spinal fusion surgery (8 studies, OR = 1.59 to 23.7, RR = 3.0) were found to be related to THA dislocation. Conflicting results were found for another sagittal pelvic morphology parameter, pelvic incidence.

Conclusions:
Several sagittal spinopelvic patient characteristics were found to be related to THA dislocation, and the associated risks were greater than for other patient and surgery-related factors. Future research is needed to determine which of those characteristics and parameters should be taken into account in patients undergoing primary THA.

Level of Evidence:
Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.
Posterior Humeral Avulsion of the Glenohumeral Ligament
Authors: Knapik Derrick M. , Patel Harsh H. , Smith Matthew V. , Brophy Robert H. , Matava Matthew J. , Forsythe Brian 
Published: August 2022

» Posterior humeral avulsions of the inferior glenohumeral ligament represent an increasingly recognized but likely underdiagnosed source of posterior shoulder instability and pain.» Injuries are commonly reported in athletic individuals who have sustained injury by either traumatic or atraumatic mechanisms; the ligament is most susceptible to injury with the shoulder in flexion, adduction, and internal rotation.» Posterior humeral avulsions of the glenohumeral ligament often occur in the setting of concurrent injuries to the posterior or inferior labrum.» Diagnosis is often challenging due to nonspecific symptoms and physical examination findings; a magnetic resonance arthrogram generally is utilized to identify avulsion from the humeral attachment; however, a definitive diagnosis is often made at the time of arthroscopic evaluation.» In patients with persistent discomfort and limitations following nonoperative management, operative fixation, primarily utilizing arthroscopic techniques, can be performed to restore motion and glenohumeral stability.
Establishing the Taxa with Phylogenetic Profile and in-silico Ayurvedic Remedy of Human Oropharynx Microbiome
Authors: Kumari B. Yeswanthi , IA Shylesh Murthy , Bagchi Preenon 
Published: August 2022

Abstract
Background: Fusobacterium, a Gram-negative bacteria, is the cause of oropharyngeal cancer, a type of head and neck cancer. The oropharyngeal cancer is cancer in the oropharynx, the middle part of throat also pharynx(hence the name of the disease). The cancer result in an incurable sore throat accompanied by a lump in the throat, mouth or neck. Further coughing up blood with white patch in the mouth with other symptoms doesn’t go ignored.Methodology: Metagenome sequence of Human Oropharynx Microbiome was taken and metagenomics performed was performed using Galaxy to understand the taxanomy and phylogenetic profile of the microbiome. Krona was used to view the taxonomy and phylogenetic profile of the microbiome. Further, gene family information of the microbiome was identified. Using this gene information, the gene receptors involved in Oropharynx disease was identified.Using homology modelling, the 3d structure of the Human Oropharynx gene receptor was modelled. Results: Virtual screening with Lipinski rule of five (ADME) studies was performed on selected phytocompounds to identify the best novel ligand for oropharyngeal cancer receptor.
A deep learning-based conditional system health index method to reduce the uncertainty of remaining useful life prediction
Authors: Jang Jaeyeon 
Published: August 2022

Abstract

Many recent data-driven studies have used sensor profile data for prognostics and health management (PHM). However, existing data-driven PHM techniques are vulnerable to three types of uncertainty: sensor noise inherent to the sensor profile data, uncertainty regarding the current health status diagnosis caused by monitoring a single health index (HI), and uncertainty in predicting the remaining useful life (RUL), which is affected by unpredictable changes in system operating conditions and the future external environment. This study proposes a deep conditional health index extraction network (DCHIEN) for PHM to effectively manage these three types of uncertainty. DCHIEN is a model that combines a stacked denoising autoencoder that extracts high-level features robust to sensor noise with a feed-forward neural network that produces an HI based on user-defined monitoring conditions. This approach supports system health monitoring using the conditional HI, as well as prognostics using RUL interval predictions. Extensive experiments were conducted using NASA's turbofan engine degradation dataset. The results show that the proposed method achieves a superior RUL prediction performance compared to state-of-the-art methods and that uncertainties can be effectively managed.
Machine Learning Computer Vision Applications for Spatial AI Object Recognition in Orange County, California
Authors: Alexandridis Kostas 
Published: August 2022

Abstract
We provide an integrated and systematic automation approach to spatial object recognition and positional detection using AI machine learning and computer vision algorithms for Orange County, California. We describe a comprehensive methodology for multi-sensor, high-resolution field data acquisition, along with post-field processing and pre-analysis processing tasks. We developed a series of algorithmic formulations and workflows that integrate convolutional deep neural network learning with detected object positioning estimation in 360° equirectancular photosphere imagery. We provide examples of application processing more than 800 thousand cardinal directions in photosphere images across two areas in Orange County, and present detection results for stop-sign and fire hydrant object recognition. We discuss the efficiency and effectiveness of our approach, along with broader inferences related to the performance and implications of this approach for future technological innovations, including automation of spatial data and public asset inventories, and near real-time AI field data systems.
An Effective Approach for Automatic COVID-19 Detection from Multiple Image Sources Using Shufflenet Convolutional Neural Network (CNN)
Authors: Ullah Naeem , Raza Asaf , Khan Javed Ali , Khan Arif Ali 
Published: August 2022

Abstract
Early and precise COVID-19 identification and analysis are pivotal in reducing the spread of COVID-19. Medical imaging techniques such as Chest X-ray or chest radiographs, Computed Tomography (CT) scan, and electrocardiogram (ECG) trace images are most widely known for early discovery and analysis of the Coronavirus disease (COVID-19). Deep learning (DL) frameworks for identifying COVID-19 positive patients in the literature are limited to one data format, either ECG or chest radiograph images. Moreover, using several data types to recover abnormal patterns caused by COVID-19 could potentially provide more information and restrict the spread of the virus. This study presents an effective COVID-19 detection and classification approach using the Shufflenet CNN by employing three types of images, i.e., chest radiograph, CT-scan, and ECG-trace images. For this purpose, we performed extensive classification experiments with the proposed approach using each type of image. With the chest radiograph dataset, we performed three classification experiments at different levels of granularity, i-e, binary, three-class, and four-class classifications. Also, we performed a binary classification experiment with the proposed approach by classifying CT-scan images into COVID-positive and normal. Finally, utilizing the ECG-trace images, we conducted three experiments at different levels of granularity, i-e, binary, three-class, and five-class classifications. We evaluated the proposed approach with the baseline COVID-19 radiography database, SARS-CoV-2 CT-scan, and ECG images dataset of cardiac and COVID-19 patients. The average accuracy of 99.98% for COVID-19 detection in the three-class classification scheme using chest radiographs, optimal accuracy of 100% for COVID-19 detection using CT scans, and average accuracy of 99.37% for five-class classification scheme using ECG trace images have proved the efficacy of our proposed method over the contemporary methods. The optimal accuracy of 100% for COVID-19 detection using CT scans and the accuracy gain of 1.54% (in the case of five-class classification using ECG trace images) from the previous approach, which utilized ECG images for the first time, has a major contribution to improving the COVID-19 prediction rate in early stages. Experimental findings demonstrate that the proposed framework outperforms contemporary models. For example, the proposed approach outperforms the state-of-the-art DL approaches such as Squeezenet, Alexnet, and Darknet19 by achieving the accuracy of 99.98 (proposed method), 98.29, 98.50, and 99.67, respectively.
Associations Between Glaucoma and All-cause Mortality in the Middle-Aged and Older Chinese Population: Results from the China Health and Retirement Longitudinal Study
Authors: HUANG XIAOXU , XU MENGQIAO , Liu Wenjia , ZHAO XIAOHUAN , Sun Xiaodong 
Published: August 2022

Abstract
Objective: To investigate the association between glaucoma and mortality in the older population.Design: Population-based, prospective cohort study.Participants: Participants aged 45 years or older at baseline (47.9% male) were enrolled in 2011 for the China Health and Retirement Longitudinal Study (CHARLS). All-cause mortality of the participants was observed during seven years of follow-up.Methods: The baseline data were collected in the 2011 CHARLS, and participants were followed up for seven years (until 2018). The risk of all-cause mortality was examined using Cox proportional hazards regression with age as the time scale, adjusting for significant risk factors and comorbid conditions.Main outcome measures: Mortality, resulting from all causes.Results: Among the 14,803 participants included, the risk of all-cause death was significantly higher among people with glaucoma than among those without glaucoma, after adjustment for other confounders (hazard ratio [HR]: 2.159, 95% confidence interval [CI]: 1.549-3.008). In a subgroup analysis based on the mean age of death, among those who were 75 years and older (n = 563), the risk of all-cause death was significantly higher in patients with glaucoma than in those without glaucoma (HR: 1.907, 95% CI: 1.249-2.911).Conclusions: Participants with glaucoma were at an increased risk for all-cause mortality, especially those participants aged 75 years and above. Our findings revealed possible underlying mechanisms creating the association between glaucoma and all-cause mortality, and they highlighted the importance of glaucoma management to prevent premature death in middle-aged and older adults.
Acquired Antibiotic Resistance in Klebsiella pneumoniae Exposed to Short-Term Simulated Microgravity and Background Antibiotic Exposure
Authors: Fang Tingzheng , Su Xiaolei , Wang Dapeng , Jiang Xuege , Li Yanjun , Wang Junfeng , Liu Changting 
Published: August 2022

Abstract
Space flight missions last for a long time so bacterial infection during missions is considered a potential risk for astronauts. Studies of bacterial antibiotic resistance under spaceflight and simulated microgravity (SMG) have shown lots of results. To better understand the antibiotic resistance of Klebsiella pneumoniae in the microgravity environment, an original K. pneumoniae original strain was cultured under SMG conditions combined with background antibiotic exposure (SMGA) as the experimental strain, while the control strain was cultured in a normal gravity environment without antibiotic exposure. At the beginning of the treatment, the growth curves of the experimental and control strains were drawn. After 20 cycles of incubation, the antibiotic susceptibility, genomic, transcriptomic, and proteomic tests were conducted on the experimental and control strains. After the treatment, the experimental and control strain was inoculated into shake flasks under normal gravity without antibiotic exposure as an eraser experiment. During and after 10 cycles of incubation in shake flasks, antibiotic susceptibility tests were repeatedly conducted. The results showed that SMG conditions still increased the growth rate of K. pneumoniae despite of the background antibiotic exposure. Sustained exposure to SMGA condition resulted in acquired antibiotic resistance, which persisted for a period even though the SMGA condition was removed. The mechanisms of acquired antibiotic resistance under SMGA condition might include the loss of porin OmpK35, overexpression of the efflux pump OqxAB and upregulation of the AcrAB-TolC multidrug efflux system.
Empirical data of plant-based ink properties for inkjet printing and its stability to the storage phase
Authors: Thakker Alka Madhukar , Sun Danmei 
Published: August 2022

Abstract
In this sustainability-oriented research, the properties of plant-based inks were evaluated denoting the viscosity range of 8.5 to 10 cP, the relative density of 1.06, conductivity value of 2.51 mS/cm, and the surface tension of 60 mN/m and pH of 4.9 to be most effective for inkjet printing. The changes in these properties to the one-month storage phase are detailed as determined with Attenuated Total Reflectance – Fourier Transform Infrared Spectroscopy, viscometer, and tensiometer. The varied colours of herbal inks were stable to storage time except for the blue colour ink made from bio indigo herb that displayed agal-like sediments. After the storage phase, the herbal inks exhibited anti-thixotropic viscosity except for yellow colour herbal ink demonstrating thixotropic behaviour. High conductivity values of 18.5 and 15.6 mS/Cm were noted for blue and black colour herbal inks indicating their potential for constituting conducting inks, however, the conductivity values dropped to 7.5 and 9.5 respectively after one month. The pH and surface tension were found steady during the storage period. The study of life cycle analysis, plausible phytochemistry, print quality on digital printing with eco-friendly inks and the coffee-ring effect of herbal inks is suggested for future work.
Re-valorization of Electronic Waste - Moss as a Biosorber for Gold Recovery?
Authors: Becker Anna Maria , Böhm Benedikt , Karampatzis Christos , Blenk Patrik , Gabor Esther , Castiglione Kathrin 
Published: August 2022

Abstract
Electronic waste contains high amounts of gold and is therefore an important secondary source of this raw material. While conventional metal recovery processes are associated with environmental and health risks along with high energy demand, bio-based methods represent a sustainable alternative of growing importance. In our previous work, we discovered that the moss Physcomitrella patens not only selectively binds Rare Earth Elements (REEs) but can also bind gold with even higher efficiency. This prompted us to conduct a comparative study on the biosorption of gold by P. patens and two further moss species (Physcomitrium eurystomum and Physcomitrium sphaericum). Sorption capacities from model gold solutions reached 1.2 ± 0.4 mmol g-1, 1.1 ± 0.6 mmol g-1 and 0.8 ± 0.1 mmol g-1, respectively, and were up to 3.7-folds higher than these obtained for selected REEs. As expected, the efficiency of gold removal was affected by the pH of the metal solution. Furthermore, reduction of gold ions seems to play an important role in the gold recovery by mosses. Thus, although further studies on the mechanisms of gold recovery by moss species are needed, the work presented here provides important insights into the use of moss for the re-valorisation of e-waste as a secondary source of gold.