bluuebunny/crossref_metadata_2025_split huggingface dataset:
XBNet and Text Mining-based Genetic Diseases Classification
Authors: Abd Dhafar Hamed , Jassim Mustafa Abdalrassual , Omri Mohamed Nazih , Hussain Abir 
Published: September 2023

Abstract
Text mining can be used for various biological and medical purposes. In this work, we have used text mining to analyze various papers related to Alzheimer's, Asthma, Cancer, Diabetes, Fabry, and various syndrome diseases using their abstracts and extracting from the text the related gene to those diseases. In this case, the data set collected from the various sources was generated manually in this pilot study. The text was collected from various articles searched through PubMed, Web of Science, and Medline. Extremely Boosted Neural Network is a new machine learning (ML) algorithm that has been developed recently to train a new optimization technique and can integrate tree-based models with Neural networks (NN). In this paper, an extremely boosted neural network was utilized as a novel application for the analysis of text data to extract information about the diseases. We benchmark the proposed model with 17 other ML models, achieving 98% accuracy. This is a significant improvement given that most of the benchmark techniques received less than 97%.
Zonular Fibre Insertion-to-Limbus Distance as a Diagnostic Parameter for Ectopia Lentis
Authors: Rohrberg Max , Lussac Vanessa , Salchow Daniel J. 
Published: September 2023

Abstract

Purpose: Subluxation of the crystalline lens (ectopia lentis, EL) can lead to significant visual impairment and serves as a diagnostic criterion for genetic disorders such as the Marfan syndrome. There is no established criterion to diagnose and quantify EL. We prospectively investigated the distance between the zonular fibre insertion and the limbus (ZLD) in healthy subjects as a parameter to assess the position of the lens, quantify EL and provide normative data.
Methods: This prospective, observational, cross-sectional study includes one-hundred-fifty eyes of 150 healthy participants (mean age 28 years, range 4-68). Pupils were dilated with tropicamide 0.5% and phenylephrine 2.5% eyedrops. ZLD was measured in mydriasis at the slit lamp as the distance between the most central visible insertions of the zonular fibres on the lens surface and the corneoscleral limbus. Vertical pupil diameter (PD) and refractive error were recorded. If zonular fibre insertions were not visible, the distance between limbus and the pupillary margin was recorded as the ZLD.
Results: 145 right and 5 left eyes were examined. 93% of study subjects were Caucasian, 7% were Asian. In eyes with visible zonular fibre insertions (n = 76 eyes), ZLD was 1.30 ± 0.28 mm (mean ± SD, range 0.7-2.1) and PD was 8.79 ± 0.57 mm (7.5-9.8 mm). In the remaining 74 eyes, ZLD was 1.38 ± 0.28 mm (0.7-2.1 mm), and PD was 8.13 ± 0.58 mm (6.7-9.4 mm). For all eyes, ZLD was 1.34 ± 0.29 mm (0.7- 2.1 mm), and PD was 8.47 ± 0.66 mm (6.7 to 9.8 mm). Refractive error and sex did not significantly affect ZLD. Smaller PD and older age were associated with larger ZLD (P < 0.001 and P = 0.036, respectively).
Conclusion: Average ZLD was 1.34 mm in eyes of healthy subjects. Older age correlated with larger ZLD. These normative data will aid in diagnosing and quantifying EL.
Circuit complexity and functionality: a thermodynamic perspective
Authors: Chamon Claudio , Ruckenstein Andrei , Mucciolo Eduardo , Canetti Ran 
Published: September 2023

Abstract

Circuit complexity, defined as the minimum circuit size required for implementing a particular Boolean computation, is a foundational concept in computer science. Determining circuit complexity is believed to be itself a hard problem [1]. Furthermore, placing general lower bounds on circuit complexity would allow distinguishing computational classes, such as P and NP, an unsolved problem [2]. Recently, in the context of black holes, circuit complexity has been promoted to a physical property, wherein the growth of complexity is reflected in the time evolution of the Einstein-Rosen bridge (“wormhole”) connecting the two sides of an AdS “eternal” black hole [3]. Here we explore another link between complexity and physics for circuits of given functionality. Taking advantage of the connection between circuit counting problems and the derivation of ensembles in statistical mechanics, we tie the entropy of circuits of a given functionality and fixed number of gates to circuit complexity. We use thermodynamic relations to connect the quantity analogous to the equilibrium temperature to the exponent describing the exponential growth of the number of distinct functionalities as a function of complexity. This connection is intimately related to the finite compressibility of typical circuits. Finally, we use the thermodynamic approach to formulate a framework for the obfuscation of programs of arbitrary length – an important problem in cryptography – as thermalization through recursive mixing of neighboring sections of a circuit, which can viewed as the mixing of two containers with “gases of gates”. This recursive process equilibrates the average complexity and leads to the saturation of the circuit entropy, while preserving functionality of the overall circuit. The thermodynamic arguments hinge on ergodicity in the space of circuits which we conjecture is limited to disconnected ergodic sectors due to fragmentation. The notion of fragmentation has important implications for the problem of circuit obfuscation as it implies that there are circuits with same size and functionality that cannot be connected via local moves. Furthermore, we argue that fragmentation is unavoidable unless the complexity classes NP and coNP coincide, a statement that implies the collapse of the polynomial hierarchy of complexity theory to its first level.
Phytotoxicity and Genotoxicity Study of Reactive Red 141 Dye in Mung Bean (Vigna radiata (L.) Wilczek)
Authors: Sompark Chalermwoot , Damrianant Somchit , Sakkayawong Niramol 
Published: September 2023

Abstract
An assessment of the phytotoxicity and genotoxicity of reactive red (RR) 141 dye was conducted using mung bean seedlings (Vigna radiata (L.) Wilczek). The dye exhibited phytotoxic effects, causing delayed germination and growth inhibition in pot plants. Plant parameters such as percentage of germination and seedling vigor index (SVI) were significantly reduced in mung beans treated with the dye at concentrations of 50 and 100 ml/L compared to the control group. Pot plant experiments were conducted with short-term (14 days) and long-term (60 days) exposures in paddy soil pot culture. In the short-term exposure, both plumule and radical lengths were significantly and dose-dependently decreased. In the long-term exposure, the dye affected plant length and grain weight, but had no impact on pod number, pod length, and seed number. To evaluate genotoxicity, high annealing temperature-random amplified polymorphic DNA (HAT-RAPD) analysis was used to detect DNA damage. Five RAPD primers with 58–75% GC content were utilized, resulting in the detection of polymorphic band patterns. A total of 116 bands were generated, with molecular sizes ranging from 433 to 2857 bp in the plant leaves exposed to the dye. Polymorphisms were observed as the disappearance and/or appearance of DNA bands in both concentration treatments compared to the control, and decreased genomic template stability (GTS) values indicated changes in the HAT-RAPD profiles, indicating DNA damage and mutation. These findings demonstrate that mung beans exposed to RR 141 dye experience significant effects on genomic template stability (GTS) and exhibit phytotoxic and genotoxic responses. This study highlights the potential of RR 141 dye as a harmful agent in plant model systems
Recent variability and trends and projected changes in precipitation in the southeastern United States: A focus on the Apalachicola-Chattahoochee-Flint River Basin
Authors: Diem Jeremy E. , Bonsu Prince Osei 
Published: September 2023

Abstract
Changes in precipitation impacts water availability in river basins; therefore, it is important to perform detailed analyses of precipitation variables within regions to better understand drivers of precipitation variability. This study, which focuses on the Apalachicola-Chattahoochee-Flint River Basin in the southeastern United States, provides an analysis of precipitation variability during 1980–2021 and connects that information to circulation variables while also exploring the alignment between recent and projected precipitation changes. Data include daily precipitation totals from 33 stations, monthly values for circulation indices, and downscaled precipitation projections from climate models. Results show the pressure gradient across the southwestern North Atlantic Ocean and southeastern United States – which is a function of the strength and position of the Bermuda High – is strongly correlated with the precipitation variables and is an important control of precipitation variability in the basin. In contrast, most teleconnection indices are relatively weakly correlated with precipitation. The basin has generally been getting wetter, with summer having the largest increases in precipitation totals and precipitation days and thus large decreases in maximum consecutive dry days. Increases in heavy-precipitation variables are relatively small, with the largest increases in the northern portion of the basin. Precipitation is projected to increase in the next several decades compared to recent decades, with heavy precipitation expected to have the largest increase. Since the Bermuda High is the dominant driver of precipitation in the basin, more information is needed about specific changes to the Bermuda High in upcoming decades to produce better precipitation projections.
Associations of Sleep Time, Quality of Life, and Obesity Indicators on Physical Literacy Components: A Structural Equation Model
Authors: Lemes Vanilson Batista , Sehn Ana Paula , Reuter Cézane Priscila , Burns Ryan , Gaya Anelise Reis , Gaya Adroaldo Cezar Araujo , Brand Caroline 
Published: September 2023

Abstract
Aim
To verify the association between ideal sleep time and physical literacy components while also considering multiple mediators such as quality of life and obesity, using a sample of adolescents.
Methods
This was a cross-sectional study that consisted of 470 adolescents aged 11–17 years from southern Brazil. Sleep time, health-related quality of life, and physical literacy components (i.e., physical education enjoyment, sports participation, sedentary behavior, moderate to vigorous physical activity, sex, and age) were evaluated through self-reported questionnaires. In addition, body mass index (BMI) was obtained by dividing body mass by height (in meters) squared, and waist circumference was measured using a metallic tape. The theoretical/statistical support of the structural equation model was evaluated according to fit parameters and strength of association.
Results
A direct association was observed between more sleep time and lower levels of obesity. The obesity indicators also had a negative association with HqOL, and HqOL had a positive association with physical literacy. The indirect associations indicated that the ideal sleep time was positively associated with HqOL and physical literacy components, considering the negative mediation effect of obesity. The model explaining physical literacy explained 31% of the variance (R = 0.31).
Conclusion
There was an indirect association between ideal sleep duration and quality of life, and between both variables with physical literacy. These relationships occur even considering the negative influence of obesity. Therefore, a child who sleeps adequately has a higher likelihood of being physically active, regardless of obesity, potentially enhancing overall quality of life across various domains.
A study of the time utilization of administrative nurses in a large tertiary care teaching hospital in Northern India
Authors: Thachaparambil Arif , Vij Aarti , Kausar Mohammed , Lathwal Amit 
Published: September 2023

Abstract
Introduction Nurses form the backbone of the health care system, and their role is vital in health care delivery in terms of promotion, prevention, treatment, care and rehabilitation. Nurse managers play a key role in the coordination of patient care and ensure quality nursing care. Apart from this, they also perform staff management, document administrative activities and supervise hospital substore activities. Efficient and effective nursing administration is essential for smooth hospital functioning and delivery of safe patient care. (2) Methods Study design: Observational The estimation of time utilization by administrative nurses in different tasks was carried out in two phases. In the first phase, a questionnaire was developed for the self-reporting of various activities that were carried out by various administrative nurses. In the second phase, an activity sampling with a total of 316 hours of observations and 15,344 nursing activities was recorded across the hospital to estimate the actual time distribution and time utilization of administrative nurses. Results Administrative nurses spent a major portion of their time in store management (28%), staff management (23%), and documentation (21%) but much less time for patient care supervision and teaching activities, i.e., 4–8% of the total time available in a day. Conclusion The activity sampling study identified that administrative nurses spent most of their time in three major activities: store management, staff management and documentation. It may be emphasized to deliver more attention in patient care supervision and teaching.
Qualitätsmerkmale für einen digital-inklusiven Unterricht
Authors: Baumert Britta , Küthe Eileen , Schaller Melanie , Rau Franco 
Published: September 2023

Um einen Orientierungsrahmen zur Verbindung aktueller bildungspolitischer Leitbilder für eine «Lehrerbildung für eine Schule der Vielfalt» (HRK und KMK 2015; HRK und KMK 2020) und einer «Bildung in der digitalen Welt» (KMK 2017; KMK 2021) zu eröffnen, präsentiert der Beitrag die Entwicklung von Qualitätsmerkmalen für einen digital-inklusiven Unterricht durch das interdisziplinäre Forschungsprojekt BRIDGES der Universität Vechta. In der «Werkstatt Inklusion» wurden im ersten Schritt Merkmale für einen guten inklusiven Unterricht entwickelt. In der Werkstatt «Digitalisierung in inklusiven Settings» wurden diese in einem zweiten Schritt durch medienpädagogische und fachdidaktische Impulse zum Lernen in einer digital geprägten Welt weiterentwickelt. Der Beitrag stellt ausgewählte Ergebnisse der Forschungswerkstätten dar und konkretisiert an einem Beispiel der Lernumgebung «Mose 4.0» für den Religionsunterricht in der Grundschule das Orientierungspotenzial der exemplarischen Merkmale «Individuelle Förderung», «Schüler:innen- und Kompetenzorientierung» sowie «Angebotsvielfalt». Der Ertrag der Merkmale für die Gestaltung eines inklusiven Fachunterrichts in einer digital geprägten Welt wird abschliessend diskutiert.
Articulating Publicness in Infrastructure
Authors: Blomkvist Pär 
Published: September 2023

Abstract
The contribution of this book lies in the historical comparison of infrastructural systems that are normally dealt with separately. The synthesis has been achieved by an extensive literature review of research from a wide range of various fields and by using prime sources. The comparative and long-term perspective allows the discovery of similarities and differences in the development of arrangements around streets, water and sanitation. Using the analytical lens of publicness, the author challenges the common belief that these three areas have always been public concerns or obligations, an assumption based on the fact that presently they are indeed public infrastructural systems. Furthermore, the evolution of municipal streets, water and sanitation has left a historical legacy which is still affecting the way these infrastructural systems are managed today.
ISBN 9781789063974 (paperback)
ISBN 9781789063981 (eBook)
ISBN 9781789063998 (ePub)
Influence of the channel bed slope on Shannon, Tsallis, and Renyi entropy parameters
Authors: Singh Gurpinder , Khosa Rakesh , Jain Manoj Kumar , Moramarco Tommaso , Singh Vijay P. 
Published: September 2023

Abstract

Velocity distribution plays a fundamental role in understanding the hydrodynamics of open-channel flow. Among a multitude of approaches, the entropy-based approach holds great promise in achieving a reasonable characterisation of the velocity distribution. In entropy-based methods, the distribution depends on a key parameter, known as the entropy parameter (a function of the time-averaged mean velocity and maximum velocity), that relates to channel characteristics, such as channel roughness and channel bed slopes. The entropy parameter was regarded as constant for lack of experimental evidence, which would otherwise demonstrate if it had any correlation with channel properties. A series of experiments were conducted to collect velocity data in the laboratory flume for seven different values of the channel bed slope. The experimental data analysis revealed dissimilar fluctuations in entropy parameter values with varying bed slopes, with the lowest coefficient of variation in Renyi's (∼0.5%) and the highest in Shannon's case (∼10%). Performance evaluation of the predicted results substantiated good accuracy for all three entropies with the best results of Renyi entropy and lent strong support for using a constant (overall average) value of the entropy parameter for a specific channel cross-section rather than separate values for each channel bed slope.
Assessment of emerging endocrine-disrupting compounds, namely estrone, 17-beta-estradiol, estriol, and 17-alpha-ethinyl estradiol, in the drinking water piping network of Tehran
Authors: Rastkari Noushin , Ahmadkhaniha Reza , Beikmohammadi Masoumeh , Yousefi Seyedeh Somayeh 
Published: September 2023

Abstract

In recent decades, micro-pollutants like estrogen hormones have been considered due to adverse health effects on humans and the environment despite very low concentrations of 0.1–20 ng/L. In the present study, drinking water was sampled from the six areas of Tehran in summer (August 2020), autumn (November 2020), winter (February 2021), and spring (May 2021) to evaluate natural and synthetic estrogen hormones (estrone (E1), 17-beta-estradiol (E2), estriol (E3), and 17-alpha-ethinyl estradiol (EE2)). The samples were transferred to the laboratory and the solid-phase extraction (SPE) method was used to extract the hormones, and the type and amount of hormones were examined by gas chromatography–mass spectrometry. According to the results, the highest concentrations were related to E1 and E2 compounds at 1.96 and 2.13 ng/L, respectively, in summer and autumn (device detection limit = 0.5 ng/L). In addition, concentrations of compounds E1 and E2 were lower than the detection limit in spring and winter in all samples, and compounds E3 and EE2 were not identified in any samples or seasons. Commonly, the concentration of steroid hormones increased in the dry seasons (summer and autumn), while in the spring and winter concentrations were less than the device detection limit because of rainfall.
CIENTISTAS DA INFORMAÇÃO NO TWITTER
Authors: Araujo Ronaldo Ferreira de , Pedri Patricia 
Published: September 2023

A presença e atuação de cientistas em redes sociais podem ampliar a visibilidade acadêmica, profissional e social. Dessa forma, a pesquisa objetiva identificar a presença, a visibilidade e o desempenho dos pesquisadores e profissionais brasileiros em Ciência da Informação no Twitter. Para tanto, o estudo é exploratório de abordagem quantitativo descritivo, com a coleta de dados por meio da ferramenta Followerwonk que permitiu, além de identificar perfis de profissionais e cientistas da informação, analisar o número de seguidores e a atividade de cada perfil, bem como a autoridade social, que mede o conteúdo influente de um usuário no Twitter. Foram identificados 250 perfis ativos e abertos, desses, apenas 6,8% possuem mais de mil seguidores. Em relação a autoridade social, 95,4% dos perfis possuem entre média e baixa influência online, 6,4% dos perfis possuem autoridade social acima de 50 pontos, o que indica um número muito pequeno de influenciadores entre os pesquisadores e profissionais da área da Ciência da Informação. Portanto, infere-se que pesquisadores e profissionais da ciência da informação ainda não utilizam o Twitter de forma relevante, comprometendo a visibilidade desses profissionais e pesquisadores tanto entre o campo da Ciência da Informação quanto em outras áreas do conhecimento.
Resveratrol Inhibits Hepatocellular Carcinoma Progression through
Regulating Exosome Secretion
Authors: Tong Kun , Wang Pingfeng , Li Ying , Tong Yaoyao , li Xuejie , Yan Shirong , Hu Pei 
Published: September 2023

Background and Objectives:
Resveratrol is a promising drug for tumor therapy,
but its anti-tumor mechanism remains unclarified. The present study aimed to explore
the effect of resveratrol on the secretion of exosomes and the role of resveratrol-induced
exosomes in the progression of hepatocellular carcinoma.

Methods:
The number and contents of exosomes induced by resveratrol were determined
by nanoparticle tracking analysis and high-throughput sequencing in Huh7 cells, respectively.
Expression of Rab27a was assessed by Western blotting and immunofluorescence.
Cell proliferation, migration and epithelial-mesenchymal transition were examined with
the stimuli of resveratrol and exosomes, the activity of autophagy and wnt/β-catenin signaling
induced by resveratrol-induced exosomes and knockdown of lncRNA SNHG29
were monitored by Western blotting and immunofluorescence.

Results:
It was found that resveratrol might inhibit the exosome secretion by down-regulating
the expression of Rab27a, thereby suppressing the proliferation, migration and
epithelial-mesenchymal transition of Huh7 cells. Moreover, resveratrol-induced exosomes
could also inhibit the malignant phenotype of Huh7 cells via inhibiting the nuclear
translocation of β-catenin and the activation of autophagy, which lncRNA SNHG29
might mediate.

Conclusion:
Resveratrol inhibits hepatocellular carcinoma progression by regulating exosome
secretion and contents.