bluuebunny/crossref_metadata_2025_split huggingface dataset:
La idealización de los espacios rurales en Educación Secundaria y bachillerato. Un estudio de representaciones sociales
Authors: García-Monteagudo Diego 
Published: September 2022

La teoría de las representaciones sociales contribuye a conocer los discursos que influyen en la vida de las personas y cómo los sujetos reproducen esos conocimientos para interpretar el mundo. El conocimiento que nos interesa en esta investigación es la cosmovisión que los estudiantes de 3.º de Educación Secundaria Obligatoria (ESO) y de 2.º de bachillerato de la provincia de Valencia (España) tienen acerca de los espacios rurales. Dicha cosmovisión proviene de diferentes fuentes y contextos de información, por lo que la aplicación de las representaciones sociales al campo de la didáctica de la geografía es pertinente en este estudio. En concreto, el enfoque fenomenológico de la Geografía de la Percepción y del Comportamiento se une a las representaciones sociales del espacio geográfico en su vertiente Subjetiva y tripartita (espacio vivido, espacio percibido y espacio concebido). Así, se pretende comprender los elementos que influyen en la explicación escolar de los espacios rurales y su presencia en la geografía escolar para conseguir dos objetivos: primero, conocer la estructura y el significado de la representación escolar del alumnado de diez centros escolares de la provincia de Valencia; segundo, comprobar cómo se ha plasmado la representación de la figura humana en los libros de texto en los niveles educativos analizados entre 1959 y 2016, y en las representaciones pictóricas del alumnado, para evidenciar tendencias convergentes en los elementos de una representación social de los espacios en cuestión. Para ello 581 estudiantes de centros escolares de la provincia de Valencia respondieron un cuestionario mixto, con un test de asociación de palabras analizado mediante el software Evocation 2005. La aplicación del índice jicuadrado al análisis de las fotografías de los libros de texto y los dibujos del alumnado acerca de los espacios rurales revela que existe una representación idealizada de dichos espacios que dificulta la comprensión de sus problemáticas sociales y ambientales.
Efficacy and safety of combined aspirin and warfarin therapy after heart valve replacement: a systematic review and meta-analysis of randomized clinical trials
Authors: Golukhova E. Z. , Berdibekov B. Sh. , Ruzina E. V. 
Published: September 2022

Aim. To conduct a systematic review and meta-analysis of the efficacy and safety of combined oral anticoagulant therapy with vitamin K antagonists (VKA) and antiplatelet therapy with aspirin compared with VKA monotherapy in patients after mechanical valve replacement.Material and methods. We searched the PubMed, Google Scholar databases for studies comparing the risk of thromboembolic events, major bleeding, and mortality in VKA monotherapy versus combined aspirin and VKA therapy in patients with mechanical valve replacement.Results. Eight randomized clinical trials were selected for this systematic review and meta-analysis. In total, 4082 patients were included in the analysis (mean age, 50,8 years, men — 2484 (60,9%)). A meta-analysis showed that the addition of aspirin to VKA, compared with VKA monotherapy, significantly reduced the incidence of thromboembolic events (odds ratio (OR) 0,47; 95% confidence interval (CI): 0,33-0,67; p<0,0001) and mortality (OR 0,58; 95% CI: 0,38-0,88; p=0,01). The risk of major bleeding in the aspirin plus VKA group compared with VKA monotherapy tended to increase, without reaching a significant difference (OR 1,41; 95% CI: 0,99-2,01; p=0,06).Conclusion. The addition of aspirin to VKA, compared with VKA monotherapy, reduces the risk of systemic embolism and death in patients after mechanical valve replacement. At the same time, the risk of major bleeding did not differ between the groups.
Spontaneous left coronary artery dissection in the postpartum period: a case report
Authors: Kuznetsov A. A. , Namitokov A. M. , Sazhneva A. V. , Nekrasov A. S. , Kosmacheva E. D. 
Published: September 2022

Spontaneous coronary artery dissection is a rare disease that threatens the patient life. Often this pathology complicates the course of pregnancy or the postpartum period. The rare occurrence and difficulties in diagnosis are the reason for the lack of data and the impossibility of developing a single algorithm for diagnosing and treating spontaneous coronary artery dissection.The article provides a brief literature review and a case report of spontaneous coronary artery dissection in the postpartum period, and discusses a number of aspects of treatment tactics.
Incidence, Occurrence and Classification of Long Bone Fractures in Dogs: A Retrospective Study
Authors: Kumar P. Ravi , Prasad V. Devi , Sreenu M. , Naidu G. Venkata , Raju N. Kranthi Bhushan 
Published: September 2022

Background: Long bone fracture in small animals has become a problem of concern in urban areas as well as rural areas because of road accidents. Canine long bone fracture cases presented at surgery wards of the hospital during 2017-20 were analysed for determining their incidence, occurrence and classification of fractures. Methods: The present study was conducted on long bone fractures in dogs presented to the surgery ward of SVVU Super Speciality Veterinary Hospital, Visakhapatnam from 2017 to 2020. Detailed history and signalment was followed by detailed physical examination to determine the site of fracture, extent of soft tissue swelling and presence of open wounds. Radiographic evaluation was done to localize the seat of fracture, to identify the type of fracture and to find out relation between the fracture fragments. Result: Of all the cases of dog patients presented to the surgery ward 2.02% were diagnosed to have fracture of different bones. Fracture of long bones (326), comprised 1.50% of total cases and 74.42% of fractures cases. The highest incidence was recorded in mongrel dogs and the most common affected bone was tibia fibula. Fall from height was reported as an etiological factor in majority of the cases and Juvenile group of animals was found more affected.
Association of anemia and platelet activation with necrotizing enterocolitis with or without sepsis among low birth weight neonates: a case–control study
Authors: jiang zhou , Ye guangyong , Zhang songying , Zhang long 
Published: September 2022

Abstract
Background：To evaluate the value of the proportion of large platelets (PLCR) and platelet crit (PCT) in predicting necrotizing enterocolitis (NEC) in low birth weight (LBW) neonates.
Methods：A total of 155 LBW (< 2500 g) neonates with NEC admitted to the neonatal intensive care unit (NICU) of the hospital from January 1, 2017 to November 30, 2019 were included in the case group. According to the 1:3 case-control study design, a total of 465 LBW neonates without NEC (3 for each LBW neonate with NEC) in the NICU born ≤ 24 h before or after the birth of the cases were included in the control group.
Results：During the study period, a total of 6946 LBW neonates were born, and 155 had NEC, including 98 who also had sepsis. Neonatal sepsis was the most important risk factor and confounding factor for NEC in LBW neonates. Further stratified analysis of the sepsis showed that in LBW neonates without sepsis, anemia, high PLCR, and high PCT increases the risk of NEC, and the receiver operating characteristic curve area of PLCR was 0.739, the sensitivity was 0.770, the specificity was 0.610, and the cutoff value was 33.55.
Conclusions: The data showed that 2/100 LBW neonates were prone to NEC, and stratified analysis of confounding factors of sepsis identified the risk factors of NEC in LBW neonates. This study first reported the significant value of PLCR in the early prediction of NEC occurrence in LBW neonates without sepsis.
Illegal Activity Detection on Bitcoin Transaction using Deep Learning
Authors: nerurkar Pranav ajeet 
Published: September 2022

Abstract
Forensic investigations increasingly leverage artificial intelligence to identify illegal activities on Bitcoin. Bitcoin transactions have an original graph (network) structure, which is sophisticated and yet informative. However, machine learning applications on Bitcoin have given limited attention to developing end to end deep learning frameworks that are modeled to exploit the Bitcoin graph structure. To identify illegal transactions on Bitcoin, the current paper extracts nineteen features from the bitcoin network and proposes a deep learning based graph neural network model using spectral graph convolutions and transaction features. The proposed model is compared with two state of the art techniques an Ensemble of Decision Trees, and a Decision trees trained on Convoluted features for classification of illegal transactions on Bitcoin. To understand the efficacy of the proposed model, a dataset is collected consisting of 13310125 transactions of 2059 entities having 3152202 Bitcoin account addresses and belonging to 28 categories of users. Two sets of experiments are performed on the datasets: labeling transactions as legal or illegal (binary classification) and identifying the originator of the transaction to one of the twenty-eight types of entities (multi-class classification). For fast and accurate decisions, binary classification is appropriate, and for pinpointing the category of bitcoin users, a multi-class classifier is suitable. On both the tasks, the proposed models achieved a maximum of 92\% accuracy, validating the methodology and suitability of the model for real-world deployment.
Adhesion of Lymph Node Anthracosilicosis with Pulmonary Artery:a Case Report
Authors: Murakami Junichi , Tanaka Toshiki , Hoshii Yoshinobu , Hamano Kimikazu 
Published: September 2022

Abstract
Introductions; Although thoracic surgeons occasionally encounter a dense adhesion of interlobar lymph nodes with the pulmonary artery, the macroscopic features of this remain limited.
Case presentation; In this report, we demonstrate the histopathological details of the adhesion. During right upper lobectomy under thoracoscopic surgery, several interlobar lymph nodes were too adherent to a posterior ascending branch of the pulmonary artery to the right upper lobe. After an unplanned conversion to thoracotomy in order to avoid massive bleeding, the branch of the pulmonary artery was divided safely. Microscopic examination revealed that anthracosilicosis in interlobar lymph nodes presented fibrotic nodules and adventitial stroma of the pulmonary artery, which contacted with lymph node anthracosilicosis and developed into dense and borderless fibrous tissue with variable numbers of dust-laden macrophages.
Conclusions; Our findings suggest that it was too delicate a surgery to dissect adventitia of the pulmonary artery in contact with lymph node silicosis using regular maneuvers. Therefore, this case can help gain a greater understanding of the risk of forced adhesiolysis and contribute to increased safety when addressing the problem.
Genetic Diversity of Freshwater Bivalves Using Inter Simple Sequence Repeat Markers
Authors: Abdel-Mawgood Ahmed , radwan eman hashem , Ghonim Amal Zaki , Nagar Rasha El , Radwan Khaled Hashem 
Published: September 2022

Abstract
Freshwater muscles are highly impacted by many human activities. As a result, it is considered as one of the most threatened ecosystem worldwide. Studying genetic diversity is crucial for any further research on conservation efforts. In the present study, inter simple sequence repeat (ISSR) marker analysis was employed to study genetic diversity between 8 randomly selected specimens of bivalve. Total of 53 bands were produced from the 10 primers. Of these 37 bands were polymorphic, resulted in 69.8% polymorphism. Some primers showed more polymorphic bands than the others. For example, primer ISSR M17 produced no polymorphic bands. While primer ISSR M1 produced 3 polymorphic bands (100% polymorphism). Cluster analysis based on similarity matrix obtained showed that the 8 bivalve specimens can be clustered into two groups, one group containing specimens 2 and 6 and the other group represents specimens 4, 5, 1, 3, 7, and 8. These data may suggest that the bivalves in Abohomos, Behera Governorate may have more than one species. The implication of these data on the conservation of the bivalve is explained. The conclusion is that the bivalve population have enough genetic diversity. These populations are adapted to the environment they lives in.
The Impact of Inconsistent Human Annotations on AI driven Clinical Decision Making
Authors: Wu Honghan , Sylolypavan Aneeta , Sleeman Derek , Sim Malcolm 
Published: September 2022

Abstract
In supervised learning model development, domain experts are often used to provide the class labels (annotations). Annotation inconsistencies commonly occur when even highly experienced clinical experts annotate the same phenomenon (e.g., medical image, diagnostics, or prognostic status), due to inherent expert bias, judgements, and slips, among other factors. While their existence is relatively well-known, the implications of such inconsistencies are largely understudied in real-world settings, should supervised learning on such ‘noisy’ labelled data be used in AI-driven clinical decision-making systems. To shed light on these issues, we conducted extensive experiments and analyses on three real-world Intensive Care Unit (ICU) datasets. Specifically, individual models were built from a common dataset, annotated independently by 11 Glasgow Queen Elizabeth University Hospital ICU consultants, and model performance estimates were compared through internal validation (fair agreement: Fleiss’ κ = 0.383). Further, broad external validation (on both static and time series datasets) of these 11 classifiers was carried out on a HiRID external dataset, where the models’ classifications were found to have low pairwise agreements (average Cohen’s κ = 0.255). Moreover, they tend to disagree more on making discharge decisions (Fleiss’ κ = 0.174) than predicting mortality (Fleiss’ κ = 0.267). Given these inconsistencies, further analyses were conducted to evaluate the current best practices in obtaining gold-standard models and determining consensus. The results suggest that: (a) there may not always be a “super expert” in acute clinical settings; and (b) standard consensus seeking (such as majority vote) consistently leads to suboptimal models. Further analysis, however, suggests that assessing annotation learnability and using only ‘learnable’ annotated datasets for determining consensus achieves optimal models in most cases.
Threatened stick-nest rats preferably consume invasive boxthorn over native vegetation on Australia’s Reevesby Island
Authors: Kraehe Annie Grace , Weisbecker Vera , Hill Robert , Hill Kathryn 
Published: September 2022

Abstract

Due to an abundance of feral predators on the mainland, native rodent species Leporillus conditor (greater stick-nest rats) live almost exclusively on small islands off the coast of South Australia. Many of these islands are heavily degraded novel ecosystems, overrun with African Boxthorn. African boxthorn (Lycium ferocissimum) is an aggressive invasive plant that negatively impacts biodiversity by outcompeting native vegetation and degrading habitat. However, it can also provide habitat and food sources for vulnerable native species. To understand if boxthorn is an important dietary component of the stick-nest rat, we used point-intercept vegetation surveys to estimate relative availability for each plant species in areas inhabited by stick-nest rats. We then collected faecal pellets from the study site and used micro-histological faecal analysis to measure plant use by the animals. This allowed us to calculate the “selection ratio” of plant use (abundance in faecal pellets)/plant availability. We found a strong preference of the stick-nest rat for the highly invasive African boxthorn, with a selection ratio of 4.397. This is valuable information as it suggests that other heavily degraded, African boxthorn-infested ecosystems have the potential to provide suitable habitat for the greater stick-nest rat. However, due to the potential of African boxthorn to continue to invade and inflict damage on the greater ecosystem, further research is crucial to ensure a context specific management plan that maximises the resilience of the greater stick-nest rat, as well as the other native species that rely on these island habitats.
Distinct approaches to inhibit fructose-induced obesity
Authors: Li Zhu , Jia Jia , Hao Han , Qiao Shiyang , Zhang Qinglei , Zhang Xinlin , Qi Yu , Sun Xuan , Wang Kun , Gu Rong , Kang Lina , Xu Biao 
Published: September 2022

Abstract
Background
Obesity is primarily a consequence of eating disorder. Drugs have been confirmed effective for weight loss more or less related to the functional connectivity in neural networks and metabolic pattern. Functional connectivity, amplitudes of neural signals, and the major ways of ATP productions were analyzed to discover the mechanisms of Metformin and Dapagliflozin.
Methods
Male ob/ob mice were divided into high-fat-diet fed (HFD), high-fat-diet fed with Metformin, and high-fat-diet fed with Dapagliflozin groups. Functional connectivity amplitude of low-frequency signal fluctuations and rCBV quantification were statistically analyzed in the linear mixed model, meanwhile, metabolic pattern of intestinal cells was also tested.
Results
Our results showed that Bold signaling responses, functional connectivity, and rCBV quantification tended to be attenuated in the Metformin-treated group compared to the HFD and Dapagliflozin groups. And only Dapagliflozin prevented fructose-induced hyper survival of intestinal cells and hypertrophy of intestinal villus by reducing glycolysis levels. Both Metformin and Dapagliflozin are effective for weight loss.
Conclusions
Our findings showed distinct mechanisms by which Dapagliflozin and Metformin inhibit obesity related eating disorders, combined use of both drugs Dapagliflozin and Metformin may be more beneficial for clinical improvement in fructose-induced obesity.
How Economic Growth affected from Technological Innovation, CO2 Emissions, and Renewable Energy Consumption? Empirical Analysis in G7 Countries
Authors: Ayvaz Erkam Emin , Över Didem 
Published: September 2022

Abstract

Today's economically developed nations are also among the most advanced in terms of energy production and consumption. In particular, the widespread implementation of renewable energy sources and the plethora of technological advancements supporting long-term prosperity stand out. The research aims to examine how carbon dioxide (CO2) emissions, technological advancements, and the use of renewable energy sources affect economic expansion. Research and development (R&D) expenses are regarded as a proxy for technological progress. Using annual data for the G7 countries from 1996 through 2020, the analysis quantified the interplay between the factors. We examine the association between our variables using panel unit root tests, Pedroni cointegration tests, ARDL coefficient estimations, and Granger (Dumitrescu Hurlin) causality tests. The Pedroni cointegration test indicated that the variables are cointegrated. According to the ARDL method of computation, increasing levels of CO2 emissions are beneficial to long-term economic growth. However, improvements in renewable energy and technology dampen economic expansion. As a conclusion, the Dumitrescu-Hurlin causality test shows that there is a unidirectional chain of events from CO2 emissions to technological improvements, from economic growth to use of renewable energy, and from consumption of renewable energy to technological advances. Expansion of the economy and increased emissions of carbon dioxide have a reciprocal relationship.
Jel classification: O13, O32, O47, Q53
“Value my culture, value me”: A Case for Culturally Relevant Mentoring in Medical Education and Academic Medicine
Authors: Sotto-Santiago Sylk , Mac Jacqueline , Genao Inginia 
Published: September 2022

Abstract
Introduction : Mentoring programs are one mechanism used to increase diversity and participation of historically underrepresented groups in academic medicine. However, more knowledge is needed about the mentoring experiences and how culturally relevant concepts and perspectives may influence diverse students, trainees, and faculty success. This case study utilized the Culturally Engaging Campus Environments (CECE) model which examines the experiences of students in higher education. We used this model to examine the mentoring experiences of Black and Latine faculty and offer practical implications for the medical education continuum.
Methods: Our research approach is best understood through qualitative inquiry stemming from a single-case study which allowed for in-depth understanding of the contexts informing the phenomenon. Phenomenology is well positioned to contribute to understanding science and health professions. Selection criteria included individuals who self-identified as Black or Latine; inclusive of all faculty ranks and tracks. This analysis focuses on 8 semi-structured interviews, averaging 3 hours in length.
Results: Findings centered on the area of cultural relevance, and participant narratives revealed the connection of mentoring with cultural familiarity, culturally relevant knowledge, cultural service and engagement, and cultural validation.
Conclusion: The use of cultural relevance indicators can inform the creation and evolution of mentoring programs towards holistic support of historically underrepresented trainees and faculty. Implications also focus on the development of mentors and championing the incorporation of cultural humility in the mentoring process. The implications in praxis offers the possibility for a new framework for culturally relevant mentoring (CRM). Through this framework we aim to enhance and facilitate inclusive learning environments and career development.
Efficacy and safety of intracorneal allogenic ring segment implantation in keratoconus
Authors: NACAROGLU Senay ASIK , Yesilkaya Ceren , Perk Fatma Kesin , Tanrıverdi Cafer , Taneri Suphi , Kilic Aylin 
Published: September 2022

Abstract
Background:To evaluate the safety and efficacy of corneal allogenic intrastromal ring segments in the management of keratoconus patients.
Methods: The retrospective, nonrandomized, interventional case series consisted of 65 keratoconic eyes of 49 consecutive patients who had ring segment-shaped corneal allografts (KeraNatural®) implanted in intrastromal tunnels created using a femtosecond laser. The main outcome measures were uncorrected visual acuity (UCVA), corrected distant visual acuity (CDVA), refraction, keratometry, and pachymetry. Computed tomography scans of the corneal surfaces were also performed preoperatively as well as 3, 6 and 12 months postoperatively.
Results:Mean age was 29.5 ± 7.3 years (median 29, range: 20 to 52 years). The mean UCVA improved from 0.91 ± 0.50 logMAR preoperatively to 0.40 ± 0.24 logMAR postoperatively at 6 month follow-up (p<0.01) and the mean CDVA improved from 0.87 ± 0.20 logMAR preoperatively to 0.27 ± 0.06 logMAR postoperatively (p<0.01). Mean spherical equivalent improved from -8.82 ± 4.57 to -3.45 ± 4.81D (p<0.01). Average Keratometry decreased from 49.23 ± 5.22 preoperatively to 45.63 ± 4.89 D postoperatively (p<0.01). Mean anterior and posterior maximum elevation were also decreased significantly (p<0.01). Dislocation of the graft towards the implantation site and swelling at the tunnel entrance were observed in one case. Yellow white deposits were observed in the segment tunnels in five case after 6 months.
Conclusion: This study demonstrated that implantation of corneal allograft ring segments is a viable alternative treatment for keratoconus with safety and good visual results.