bluuebunny/crossref_metadata_2025_split huggingface dataset:
PRINCIPALS’ DIGITAL TRANSFORMATIONAL LEADERSHIP, TEACHERS’ ORGANISATIONAL COMMITMENT AND JOB SATISFACTION DURING COVID-19 IN LAGOS STATE EDUCATION DISTRICT V, NIGERIA
Authors: Nurudeen Olalekan Orunbon  , Ganiyu Abiona Ibikunle  , Adewale Abiodun Badmus  
Published: July 2023

Several leadership specialists have studied the impact of principals' transformational leadership on school administration. Yet, studies and research on the digital transformational leadership of school administrators have received little attention from academics. As the COVID-19 pandemic has caused countries all over the globe to switch to online teaching and learning paradigms, it is imperative to close the gap. The principal had to adopt a new position as a digital leader, working online with teachers and students, according to the changing circumstances. The goal of this study is to ascertain how school principals' leadership in digital transformation during COVID-19 in senior secondary schools in Education District V, Lagos State, Nigeria, and teachers' organisational commitment and work satisfaction are related. Information from 300 educators in the School District is used to support the research. The results show that principals' digital transformational leadership and teachers' organisational commitment have a strong significant and positive relationship. They also show a strong significant and positive relationship between principals' digital transformational leadership and teachers' job satisfaction. The findings of this study reveal that principal digital transformational leadership behaviour play a critical role in fighting the COVID-19 pandemic by encouraging teachers to be creative, innovative, and undertaking active actions for the achievement of organisational commitment and job satisfaction, as well as to ensure the school organisation’s sustainability. Based on these conclusions, the study suggested that the Lagos State government, through the Education District V, should support professional development initiatives like conferences, workshops, seminars, and training for secondary school teachers to keep their knowledge current, particularly their knowledge of digital technology.
An ovarian phenotype of alpha 7 nicotinic receptor knockout mice
Authors: Seßenhausen Pia , Caban Karolina M , Kreitmair Nicole , Peitzsch Mirko , Stöckl Jan B , Meinsohn Marie C , Pépin David , Popper Bastian , Fröhlich Thomas , Mayerhofer Artur 
Published: July 2023

In brief
Nicotinic acetylcholine receptor alpha 7 (nAChRa7), encoded by Chrna7, is expressed by various murine ovarian cells. Morphological and molecular investigations, including a proteomic study of adult Chrna7 knockout (KO) mouse ovaries, reveal the roles of these receptors in the local regulation of the ovary.

Abstract
Nicotinic acetylcholine receptor alpha 7 (nAChRa7), encoded by Chrna7, is involved in cellular functions ranging from synaptic transmission in neurons to regulation of inflammation, cell growth and metabolism to cell death in other cells. Our qPCR results and other studies indicated that nAChRa7 is expressed in the adult mouse ovary, while in situ hybridization and single-cell sequencing data suggested this expression may be shared by several ovarian cells, including fibroblast-like and steroidogenic stroma cells, macrophages and oocytes of small follicles. To explore a possible involvement of nAChRa7 in ovarian functions, we evaluated ovarian morphology of Chrna7-null mutant adult mice (KO) and wildtype mice (WT; 3 months, metestrus) by performing immunohistochemistry, qPCR studies, measurements of serum progesterone and proteomic analyses. The evaluation of serial sections indicated fewer primordial follicles but similar numbers of primary, secondary and tertiary follicles, as well as corpora lutea in KO and WT mice. Atresia was unchanged. Serum progesterone and mRNA levels of proliferation and most apoptosis markers were not changed, yet two typical macrophage markers were elevated. Furthermore, the proteomes of KO ovaries were significantly altered with 96 proteins increased and 32 decreased in abundance in KOs compared to WTs. Among the elevated proteins were markers for stroma cells. Hence, the lack of nAChRa7 causes changes in small follicle counts and alterations of the ovarian stroma cells. The ovarian phenotype of Chrna7 mutant mice links this channel protein to the local regulation of ovarian cells, including stroma cells.
Desempeño mecánico del concreto convencional reemplazando agregado grueso con polietileno de tereftalato
Authors: Sanabria Rojas Madelein Natalia , Gil Peláez Jhon Jairo , Duarte Barón Katherin 
Published: July 2023

En muchos países los residuos plásticos son una parte contaminante del medio ambiente, por tal razón es necesario buscar alternativas en las que se pueda reutilizar de forma masiva, para disminuirlos significativamente. En este proyecto de investigación se realizó una búsqueda de trabajos asociados a la temática, se analizaron las técnicas utilizadas y los resultados obtenidos, de manera que se recolectó el material necesario y mediante ensayos de laboratorio se fabricaron cilindros de concreto con distintas sustituciones de los agregados gruesos por residuos plásticos (PET); con el fin de comparar las resistencias y costos de los moldes de concreto celular y con residuos plásticos; y así determinar la viabilidad de los agregados de plásticos en el concreto celular. En cada una de las proporciones de residuos plásticos utilizados se observó una disminución del peso y menor costo, sin embargo, ninguno logró superar la resistencia mínima, comparada con un cilindro convencional, al ser sometido a las pruebas de compresión, siendo el tamaño de los residuos la mayor problemática para obtener buenos resultados. Para utilizar residuos de plástico en la mezcla de concreto tradicional, es recomendable, reducir el tamaño de la partícula para mejorar la cohesión de los materiales, es decir Polipropileno de Tereftalato triturado, que sirva para el diseño de sistemas estructurales y que obtengan una mayor resistencia, con esto la contaminación debida a residuos plásticos disminuiría significativamente.
Radical Duality Ⅳ
Authors: Oda Masafumi 
Published: July 2023

"Radical Duality" is a practical approach based on my own ontology beyond arguments of “eternal return” (Deleuze) and speculative realism. In this ontology, I find the philosophical idea of “the Time after that” an extremely creative concept of time, a concept that is emblematic of capitalism’s dynamism. Within this artistic practice, then, three elements, “Media,” “Theme,” and “Method” define creative acts, thus correlating to each other. Any medium used for creative activities is a variable (in this piece, just sound). “Method” is a factor which strongly describes the characteristics of a creator. This, in turn, poses questions about relations. “Method” determines the relations between media, and “Media” change themselves according to “how these media relate to each other,” so every artist should think about “what the meaning of the relating is.”For myself, the relation is “a multiplicity of radical duality which consists of the discrete and the continuous.” For this piece, I first made a patch with MAX/MSP. In this patch, then, I created two primitive faders ― “the discrete” and “the continuous” ―, whose values affect the whole sound. Additionally, I made four more faders ― “continuation of discreteness”, “discreteness of continuation”, “continuation of continuation”, and “discreteness of discreteness” ― whose values change various parameters of this complex patch. Also, I quoted Franz Schubert’s 7th symphony and JS Bach's “Dona nobis pacem” for expressing a “bottomless void” as "Theme", where the story progresses from hardship to relief. Since “Radical Duality” treats media as variables, those variables do not have to be limited to music. We can treat visuals, concepts, digital content, bodies, photos and so on as media, then change these forms completely, defining new relations each time.
Adaptive Energy-Optimized Consolidation Algorithm
Authors: Mangaonkar Abhinandan P. , Gull Karuna C. , Vantamuri Sushiladevi , Patil Arpita , Pattanshetti Jaya M. 
Published: July 2023

We have been hearing about cloud computing for quite a long time now. This type of computing is booming and emerging as a popular computing paradigm for its scalability and flexibility in nature. Cloud computing provides the provision of service on-demand, on-demand resources supply and services to end-users. However, energy consumption and energy wastage are becoming a major concern for cloud providers due to its direct impression on costs required for operations and carbon emissions. To tackle this issue, Adaptive Energy-Optimized Consolidation Algorithm has been proposed to efficiently manage energy consumption in cloud environments. This algorithm involves sharing by dividing, in this process resource allocation is done into two different phases, those are, consolidation of tasks and consolidation of resources. Compared to single-task consolidation algorithms, the proposed two-phase Adaptive energy optimized consolidation algorithm shows improved performance in terms of energy efficiency and resource utilization. The results of experiments conducted using a cloud-sim show the effectiveness of the proposed algorithm in decreasing energy consumption while maintaining the quality-of-service requirements of computing in cloud.
The need for an hour is to automate things without human intervention. Thus, using Autonomous computing refers to a type of computing system that is capable of performing tasks and making decisions without the intervention of humans. This type of system typically relies on Artificial.Intelligence, Machine.Learning, and other futuristic technologies to study the data, identify patterns, and make decisions based on that data. Cloud computing can certainly be incorporated into an autonomous computing system. The performance of an automated computing environment depends on a various factor, considering the quality of the different algorithms used, also the amount and quality of various data available to the system, the computational resources available, and the system's ability to learn and adapt over time. However, by incorporating cloud computing, an autonomous computing system can potentially access more resources and process data more quickly, which can improve its overall performance.
Implementation of Hybrid Prediction Model: An Unsupervised and Supervised Learning Perspective
Authors: Baig Mirza Ghazanfar , Nayak Sandeep Kumar 
Published: July 2023

Using raw data to make inferences is the core of data science. This might be accomplished by closely examining the complex trends and patterns in the data. Machine Learning based forecasting methods have shown useful in predicting perioperative outcomes to improve the quality of future event planning decisions. In many application sectors where machine learning models were used, it has long been necessary to identify and prioritise the negative characteristics of a threat. Wish to provide precise predictions about a certain set of data, for example, use machine learning techniques in data science. Numerous prediction algorithms are now in use to address forecasting issues. Numerous epidemiological models are being employed internationally to forecast pandemic mortality rates and the number of affected people. Making the right decisions depends on the development of reliable prediction models.
Epidemiological models have had trouble making longer-term forecasts with a higher degree of accuracy due to a lack of significant data and ambiguity. This research suggests a hybrid machine learning approach to anticipate the pandemic in contrast to Susceptible-Infected-Resistant based models, and we demonstrate its potential using COVID-19 data from India. Order to improve the identification of epidemics early, The model can also be updated using data from sources like search engine searches. Results from two well-known machine learning methods were compared to those from the improved SIR and SEIQR models.
A Hybrid Model for Sentiment Analysis Based on Movie Review Datasets
Authors: Jain Kirti , Ghosh Pinaki , Gupta Shital 
Published: July 2023

The classification of sentiments, often known as sentiment analysis, is now widely recognized as an open field of research. Over the past few years, a huge amount of study work has been carried out in these disciplines by utilizing a wide variety of research approaches. Due to the possibility that the performance of sentiment analysis may be impacted by the high-dimensional feature set, text mining demands careful consideration during in the construction and selection of features.The process of recognising and extracting subjective information from written data is referred to as sentiment analysis. Sentiment analysis enables companies to understand the social sentiment around their brand, product, or service by monitoring the conversations that take place in internet chat rooms. In order to categorise people's attitudes or sentiments, this study provides a hybrid model (Support Vector Machine, Convolutional Neural Network, and Long Short-Term Memory). The findings of using the network model to sentiment analysis on the movie review or amazon review datasets reveal that it is possible to gain a good classification impact by using the model. The preprocessing is used for text mining, the removal of punctuation, and the generation of vocabulary, also uses GLOVE for vectorization and TF-IDF algorithms for better feature extraction. The results that were proposed were compared with various base models such as KNN, and MNB, amongst others, which demonstrates that the hybrid model performs better than other models.
The value of APRI and FIB-4 scores in detection of liver fibrosis of patients with chronic hepatitis C
Authors: AÇIKALIN ARIKAN Hatice Burcu , DEMİRDAL Tuna , BİLİR Neriman 
Published: July 2023

Purpose: Infection with hepatitis C virus causes chronic liver damage, fibrosis and in later processes, cirrhosis and liver cancer. Currently, the use of biomarkers, instead of invasive procedures, is recommended to identify liver fibrosis. In this study, we aimed to evaluate the sensitivity and specificity of aspartate aminotransferase (AST) to Platelet Ratio Index (APRI) and Fibrosis-4 Index (FIB-4) scoring for detection of "significant fibrosis" in chronic hepatitis C patients.
Materials and Methods: Liver biopsy results and blood test results of 50 patients, infected with chronic hepatitis C, were analyzed. APRI and FIB-4 scores were calculated. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and consistency for APRI and FIB-4 scorings were calculated using a fourfold table. The values of APRI and FIB-4, providing the best specificity and sensitivity in the diagnosis of significant fibrosis, was determined by ROC (receiver operator characteristics curve) analysis.
Results: The mean fibrosis stage of 30 patients with significant fibrosis was 2.83±0.74 and the mean patient age was 56.8±13. The sensitivity of APRI ≥ 1.5 to detect significant fibrosis was 16%, the specificity was 90%, PPV was 71% and NPV was 41%. A FIB-4 score of ≥3.25 had a sensitivity of 20%, a specificity of 95%, a PPV of 85% and a NPV of 44%.
Conclusion: APRI and FIB-4 have high specificity and PPV in demonstrating significant fibrosis, but have low sensitivity and NPV. The sensitivity of FIB-4 was higher compared to the APRI scoring. More research on this subject is needed, as well as revision of fibrosis scores and development of new fibrosis scores.
Paraíba de mim: uma leitura ecocrítica da obra de Lúcia Miners
Authors: Moura Adriano Carlos , Barbosa Júnior Ronaldo Henrique 
Published: July 2023

This article deals with the book “Paraíba de mim” (unpublished), by the poet Lúcia Miners, from the perspective of ecocriticism and memory, considering the spatial and natural interactions presented by the author according to her experiences in the city of Campos dos Goytacazes/RJ. To carry out the analysis of the texts, this article uses a review of the theoretical bibliography on ecocriticism and memory with the application of concepts for the interpretation of the texts that make up the corpus. The discussion, therefore, involves analyzing the role of Paraíba do Sul River – the main watershed in Rio de Janeiro – with the aim of expanding the analytical bibliography on Campista literature, contributing to the line of ecocritical studies and making the unpublished work by Lucia Miners public.
Comparative Analysis of Posterior Approach Versus Anterior Approach for Posterior Tibial Plateau Fractures
Authors: Laurent Tsai Sung Huang , Lin Chun Ru , Lin You-Rui , Liu Yi-Chen , Tischler Eric H. , Tang Hao-Che , Chen Chien-Hao , Su Chun-Yi , Chan Yi-Sheng 
Published: July 2023

Background:
Posterior tibial plateau fractures can lead to significant posttraumatic instability if not treated properly. It remains unclear which surgical approach achieves better patient outcomes. The objective of this systematic review and meta-analysis was to assess postoperative outcomes in patients undergoing anterior, posterior, or combined approach for posterior tibial plateau fractures.

Methods:
The PubMed, Embase, Web of Science, The Cochrane Library, and Scopus were searched for studies published before October 26, 2022, comparing anterior, posterior, or combined approaches for posterior tibial plateau fractures. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. Outcomes included complications, infections, range of motion (ROM), operation time, union rates, and functional scores. Significance was set at p < 0.05. Meta-analysis was conducted with STATA software.

Results:
In total, 29 studies with a total of 747 patients were included for quantitative and qualitative analysis. Compared with other approaches, the posterior approach for posterior tibial plateau fractures was associated with a better ROM and shorter operative time. The complication rates, infection rates, union time, and hospital for special surgery (HSS) scores were not significantly different between surgical approaches.

Conclusions:
The posterior approach for posterior tibial plateau fractures offers advantages such as improved ROM and shorter operative time. However, there are concerns regarding prone positioning in patients with medical or pulmonary comorbidities and indications in polytrauma cases. Further prospective studies are needed to determine the optimal approach for these fractures.

Level of Evidence:

Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
La diversidad en la ficción audiovisual. Alfabetización audiovisual a través de las series de televisión
Authors: Segarra-Saavedra Jesús , Hidalgo-Marí Tatiana , Sánchez-Olmos Cande 
Published: July 2023

La ficción televisiva está de moda. Esta afirmación no sólo la podemos enunciar desde el punto de vista del consumo televisivo a través de las plataformas de VOD (video on demand), sino también desde la perspectiva investigadora y de la producción científica. Prueba de ello es que una búsqueda bibliográfica llevada a cabo sobre “television series” a finales del mes de mayo de 2023 en la base de datos Scopus arrojaba 2269 resultados. Apenas transcurridos los cinco primeros meses de este año, se habían indexado 58 manuscritos. Pero echando la mirada atrás, se puede comprobar cómo desde el primer texto indexado en 1961 la producción científica sobre este campo de investigación se ha ido incrementando, adquiriendo así mayor relevancia en esta base de datos multidisciplinar e internacional y, con ello, creando y difundiendo conocimiento sobre la ficción televisiva de forma interdisciplinar. Así, en el período 1972-1961 se identifican 8 manuscritos (0,4%); de 1982 a 1973, 27 (1,2%); de 1992 a 1984, 56 (2,5%); de 2002 a 1993, 93 (4,1%); de 2012 a 2003, 490 (21,6%) y de 2022 a 2014, 1537 (67,7%). Estos resultados son totalmente reveladores.
Por ello, ante tal incremento científico, en abril de 2023 convocamos la llamada a textos en Seriarte: revista científica de series televisivas y arte audiovisual bajo el título “La diversidad en la ficción audiovisual. Alfabetización audiovisual a través de las series de televisión”.
Calcium-Rich Ultramafites, Ankaramites, and Clinopyroxene–Porphyric Gabbro of the Birkhin Massif in the Ol’khon Region: Solution of the Problem of Primary Melt and Formation of Intrusion
Authors: Pushkarev E.V. , Lavrenchuk A.V. , Gottman I.A. , Sklyarov E.V. 
Published: July 2023

Abstract
––The paper presents new data on the chemical and mineral compositions of ultramafic rocks and various gabbro of the Birkhin massif in the Ol’khon region. Porphyric phenocrysts and zoned grains of clinopyroxene have been first found and studied in gabbronorite, which made it possible to reconstruct the entire melt crystallization trend from ultramafic to gabbro parageneses. Similar clinopyroxene trends have been established for clinopyroxenites and subvolcanic ankaramites, whose bodies and dikes have been recently discovered within the massif and in its environment. The total petrological data show that the magnesian high-Ca ankaramite melt corresponds in composition to the assumed primary melt for the Birkhin massif.
An evaluation of truncated birth histories for the rapid measurement of fertility and child survival
Authors: Masquelier Bruno , Menashe-Oren Ashira , Reniers Georges 
Published: July 2023

Abstract
Background: Full birth histories (FBHs) are a key tool for estimating fertility and child mortality in low-and middle-income countries, but they are lengthy to collect. This is not desirable, especially for rapid turnaround surveys that ought to be short (e.g., mobile phone surveys). To reduce the length of the interview, some surveys resort to truncated birth histories (TBHs), where questions are asked only on recent births.
Methods: We used 32 Malaria Indicator Surveys that included TBHs from 18 countries in Sub-Saharan Africa. Each set of TBHs was paired and compared to an overlapping set of FBHs (typically from a standard Demographic and Health Survey). We conducted a variety of data checks, including a comparison of the proportion of children reported in the reference period and a comparison of the fertility and mortality estimates.
Results: Fertility and mortality estimates from TBHs are lower than those based on FBHs. These differences are driven by the omission of events and the displacement of births backwards and out of the reference period.
Conclusions: TBHs are prone to misreporting errors that will bias both fertility and mortality estimates. While we find a few significant associations between outcomes measured and interviewer's characteristics, data quality markers correlate more consistently with respondent attributes, suggesting that truncation creates confusion among mothers being interviewed. Rigorous data quality checks should be put in place when collecting data through this instrument in future surveys.