bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Nano Cerium Dioxide on Intestinal Microflora in Rats by Oral Subchronic Exposure
Authors: ye Qianru , Jia Dantong , Ji Jun , Liu Yang , Wu Gang 
Published: April 2023

Abstract
Objective: To investigate intestinal toxicity in rats and effects on intestinal flora after oral subchronic exposure to nano cerium dioxide.
Method: Forty healthy male SD rats were randomly divided into four groups: a control group (deionized water) and groups treated with different doses of nano ceria (e.g., 20 mg/kg, 100 mg/kg, and 500 mg/kg), with 10 rats in each group. The rats were given intragastric administrations (every other day) for 90 days. After the last intragastric administration, fresh fecal samples were collected by pressing the abdomen, and the animals were sacrificed. Jejunum, ileum and cecum tissues were retained for pathological analysis by Hematoxylin-eosin staining. The stool samples of rats were sequenced by the Illumina NovaSeq sequencing platform, and the sequencing results were further analyzed by QIIME2 software.
Results: The histopathology results showed that compared with the control group, in the middle- and high-dose groups, epithelial tissue was shed, lamina propria glandular structures were damaged or disappeared, and large numbers of inflammatory cells were distributed in the mucosa. The intestinal flora results showed that there were no significant differences in the α-/β-diversities in each dose group compared with the control group (P>0.05). Compared to the control group, the intestinal pathogenic bacteria, Mucispirillum and Streptococcus, increased significantly after nanocerium dioxide ingestion, while Weissella decreased. The abundances of Akkermansia in all dose groups were higher than in the control group, but the abundances decreased with increasing exposure dose. MetagenomesSeq analysis showed that, compared with the control group, the abundances of S24-7, Lactobacillus and Clostridiales in all experimental groups significantly decreased.
Conclusions: There was no significant difference in gut microbiota diversity after subchronic oral exposure to nanocerium dioxide,but there can affect the structure and abundance of intestinal microflora in rats, and long-term exposure to high doses (>100 mg/kg) causes enteritis
Plasma-derived exosomal miR-326, a prognostic biomarker and candidate for treatment of drug resistant pediatric acute lymphoblastic leukemia
Authors: Saffari Neda , Rahgozar Soheila , Sahin Fikrettin 
Published: April 2023

Abstract
Background Acute lymphoblastic leukemia (ALL) is a cancer with high incidence rate in pediatrics and drug resistance is a major clinical concern for ALL treatment. The current study was designed to evaluate the role of exosomal miR-326 in diagnosis and treatment of children with B-ALL.Methods Exosomes were isolated from plasma samples of 30 patients and B-ALL cell lines through 2 different methods. Exosomes were then characterization, using nanoparticle tracking analysis, immunoblotting assay and electron microscopy. qRT-PCR was employed to measure the expression levels of miR-326. Exosome uptake was validated using transfection procedure. MTT assays were performed to investigate cells viability.Results qPCR showed significant increased levels of miR-326 in patients exosomes compared with non-cancer controls (P < 0.05, AUC = 0.7500). Moreover, a comparison between the sensitive and drug resistant patients revealed a prognostic value for the exosomal miR326 (P < 0.05, AUC = 0.7755). Co-culture studies on drug resistant patient primary cells and B-ALL cell lines suggested that exosomes with high miR-326 level act as vehicles for reducing cells viability. B-ALL cell line transfection with naked miR-326 mimic confirmed the aforementioned results, and fluorescence microscopy validated uptake and internalization of exosomes by target cells.Conclusions The novel introduced features of the exosomal miR-326 addresses a non-invasive, unique way of diagnosing primary drug resistance in pediatric ALL and establishes a novel therapeutic strategy for this cancer.
The Principle of Luck Conservation: Unlucking the Secrets of Luck Using Conjugate Variables
Authors: Farshi Esmaeil 
Published: April 2023

Abstract
The concept of luck has long been an enigmatic and elusive factor in determining success or failure in various aspects of life. This paper presents a groundbreaking principle, the Law of Luck Conservation, inspired by the uncertainty principle and the concept of conjugate variables in physics. By demonstrating the intricate relationship between complementary variables, we aim to provide a practical framework for understanding and leveraging luck in competitive settings such as sports competitions, job interviews, and auctions. Additionally, we introduce the Concept of Luck Clustering, which explores the temporal patterns of luck and its apparent clustering in certain situations or time periods, offering insights into phenomena such as continuous winning streaks in sports or financial markets. This innovative approach has the potential to revolutionize our understanding of success and achievement even in gambling. The importance of the Luck Principle can be highlighted through the following points: Foundational knowledge, Unifying diverse fields, Guiding experimentation and research, Educational tool, and Decision-making and problem-solving. Based on the Principle of Luck Conservation, researchers can develop laws, concepts, and theorems. We have presented the Law of Luck Perception and Luck Equilibrium theorem as examples among many laws and theorems derived from the Luck Principle. By presenting the Luck Principle and its applications, we aim to revolutionize our understanding of success and achievement, allowing individuals to better navigate uncertainty and improve their prospects in various aspects of life.
Development of room-temperature fermented stinky sea bass and novel insights into its physicochemical and flavor formation and microbial diversity
Authors: Xiao Hong , Feng Tingyu , Yu Jiao , Hu Mengyue , Liu Hongying , Jiang Xiaoming , Zhang Tao , Xue Yong , Xue Changhu 
Published: April 2023

Abstract
This study created room-temperature fermented stinky sea bass (RFSB) and reported the first analysis of the dynamic changes in physicochemical properties, volatile compounds, and bacterial communities during the fermentation process. The texture of RFSB improved after fermentation, and proton freedom and mobility were reduced. The pH of sea bass increased, while the brightness and whiteness decreased with fermentation. The total concentrations of umami amino acids, pleasant-tasting amino acids, free amino acids, and guanosine-5′-monophosphate (GMP) significantly increased following fermentation, contributing to the freshness of RFSB. Twenty-eight flavor substances were detected during RFSB processing, including trimethylamine and indole, which may account for the stinky nature of RFSB. Tetragenococcus was positively correlated with texture, pH, GMP, and free amino acids of RFSB. Achromobacter, Staphylococcus, Corynebacterium, Tetragenococcus, and Kurthia were significantly correlated with RFSB flavoring substances. This study can be used to guide future research on starter screening.
Latin Hypercube Design for Big Data
Authors: Zhou Xiaojian , Jiang Ting 
Published: April 2023

Abstract
Being notoriously difficult to analyse with classical analytical tools due to its volume, heterogeneity, quality and complexity, Big Data introduce new computational and statistical challenges to data scientist. When the massive sample size exceeds the capacity of the standard statistical methods/software platforms/equipments, employing design of experiment (DOE) to extract a subset of the Big Data becomes a reasonable way. In this paper, a new methodology is proposed to deal with Big Data. We design a novel Latin Hypercube Design (LHD) to get samples in Big Data while guaranteeing the projective and space-filling properties of the classical LHD at the same time.
Geographical Distribution Studies on common pistachio psylla, Agonoscena pistaciae Burckhardt and Lauterer (Hem.: Aphalaridae) in Iran
Authors: Fakoori Hamed , Sanatgar Elham , Lashkari Mohammad reza , Sedaghatfar Ezatollah 
Published: April 2023

Abstract
The common pistachio psyllid, Agonoscesna pistaciae is a key pest of pistachio trees in Iran. Both adults and nymphs cause great economic damages by sucking sap and produce large amounts of honeydew. The geographical distribution of this pest was studied using maxEnt in different climates of Iran. In the present study, Field experiments were conducted during 2019–2020 on pistachio trees and records of 732 specimens collected from 24 climates of Iran in addition to altitude and climate variable data were used for modeling analysis. The results show that northwest of Iran with climatic characteristics of mild winters; warm summers and arid regime were the most suitable areas for A. pistaciae, while the central, west and southeast regions of Iran with very high temperatures were predicted to be less suitable. The habitat distribution patterns for some species such as A. pistaciae can be modeled using a small number of occurrence records and environmental variables using MaxEnt and could be used in plant protection and implementation of integrated control programs.
M-PBBST(n1, n2) : Multiple Partially Balanced Binary Search Trees in one
Authors: ZEGOUR D.E 
Published: April 2023

Abstract
In this paper, we present a new binary search tree to generate known data structures such as Red-Black trees, AA trees, 2–3 trees and several other very interesting data structures that are unknown to us. The proposed data structure partitions the elements of a binary search tree into unbalanced sub-trees of heights ranging from n1 to n2-1 (0 ≤ n1 ≤ n2-2 & n2 > 1). The algorithms are simple and use only a few extra bits of storage at the tree node. Moreover, a single code covers all generated data structures and the worst case height is
Interest-aware Collaborative filtering Recommendation Model based on Graph Neural Networks
Authors: Joshi Rohan , Patel Shreya , Smith Sybilla , St.Dawson Humphrey 
Published: April 2023

Abstract
Recommendation systems have become an integral part of various online platforms, providing personalized recommendations to users while reducing information overload. Graph Convolution Neural Network (GCN) based models have become the most popular research method in recommendation systems. These models have the ability to learn embedding representations on graph structures, which makes them effective in modeling recommendation systems. However, the GCN model suffers from the oversmoothing problem, which makes node representations indistinguishable after multiple layers of graph convolution. Researchers have proposed models such as LR-GCN, Light-GCN, DropEdge, and IMP-GCN to mitigate this problem. Despite the significant advancements in GCN-based models, they still do not take full advantage of higher-order neighbors' covariance signals. Additionally, they do not consider the influence of users' different opinions on the recommendation results when propagating and aggregating synergistic signals. This paper proposes a graph convolutional neural network recommendation model with interest-aware message delivery that utilizes 2nd-order neighbors' cooperative signals and users' views to improve accuracy in learning node embeddings. Our model separates subgraphs for users and products, allowing for intergroup crossover in the classification. The proposed model addresses the shortcomings of current GCN-based models, and it is evaluated on several datasets. The results show that our model outperforms state-of-the-art models in terms of prediction accuracy, making it a promising recommendation model for various applications.
Application of statistical and geostatistical approaches in temporal and spatial estimations of rainfall
Authors: Karami Hojat , Ghazvinian Hamidreza , Dadrasajirlou Yashar 
Published: April 2023

Abstract

This study is the first study that worked on the temporal and spatial distributions of annual rainfall (Pyear) and maximum 24-h rainfall (Pmax24h) in the Semnan province. For this purpose, different statistical distributions were used to estimate the temporal Pyear and Pmax24h in the Semnan province. Six synoptic stations across the province were studied and all stations had complete Pyear and Pmax24h data. Different return periods were studied. The goodness fit test of statistical distributions for Pyear showed that about 67% of the stations follow the Generalized Pareto (GP) distribution. Considering the Pmax24h, 50% of the stations follow the GP distribution, and for the ratio of Pmax24h to Pyear, 50% of stations follow the Generalized Extreme Value (GEV) distribution. The spatial distribution of Pyear and Pmax24h showed that in all return periods, by moving to the southeast of the province, precipitation amounts decreased. While moving toward the Shahmirzad station, the amounts of Pyear and Pmax24h increased. Also, there was a logical relationship between the Pyear and Pmax24h. Consequently, the minimum value and the maximum value of the R2 coefficient in different return periods were equal to 0.992 and 0.980, respectively.
Use of Digital Health Technology Among Older Adults With Cancer in the United States: Findings From a National Longitudinal Cohort Study (2015-2021)
Authors: Zhou Weijiao , Cho Youmin , Shang Shaomei , Jiang Yun 
Published: April 2023

Background
Despite the benefits of digital health technology use, older adults with cancer (ie, aged 65 years) have reported challenges to technology adoption. However, there has been a lack of a good understanding of their digital health technology use patterns and the associated influential factors in the past few years.

Objective
This study aimed to examine the trends in and factors associated with digital health technology use among older adults with cancer.

Methods
The National Health and Aging Trends Study (NHATS) data set is a national longitudinal cohort study with annual survey waves of Medicare beneficiaries 65 years and older. Participants were community-dwelling older adults who self-reported previous or current cancer diagnoses in each round. The study sample size of each round ranged from 1996 (2015) to 1131 (2021). Digital health technology use was defined as using the internet or online in the last month to order or refill prescriptions, contact medical providers, handle Medicare or other insurance matters, or get information about their health conditions. The association of sociodemographics, clinical factors (self-rated health, chronic conditions, difficulties in activities of daily living, dementia, anxiety, and depression), and physical function (Short Physical Performance Battery and grip strength) with digital health technology use was examined using design-based logistic regression. All statistical analyses accounted for the complex sample design.

Results
The prevalence of any digital health technology use increased from 36% in 2015 to 45% in 2019. In 2020-2021, which was amid the COVID-19 pandemic, it ranged from 51% to 52%. In terms of each digital health technology use behavior, in 2015, overall, 28% of older cancer survivors used digital health technology to obtain health information, followed by contacting clinicians (19%), filling prescriptions (14%), and handling insurance (11%). Greater use of digital health technology was associated with younger age, being White, having a college or higher education, having a higher income, having more comorbidities, nondementia, and having a higher gait speed.

Conclusions
Digital health technology use in older adults with cancer has gradually increased, particularly during the COVID-19 pandemic. However, socioeconomic and racial disparities have remained in older cancer survivors. Additionally, older adults with cancer may have some unique features associated with digital health technology use; for example, their use of digital health may be increased by their comorbidities (ie, health care needs) and reduced by their frailty.
Business Strategy of Layer Chicken Business in the New Normal Era in The Bali Province
Authors: Dewa Putu Semara Yana  , Nyoman Suparta  , I Gusti Agus Maha Putra Sanjaya  
Published: April 2023

This study aims to provide a business strategy for laying hens in the New Normal era in the Province of Bali. This research is expected to produce recommendations for the right strategy to be applied to laying hens in the Province of Bali to help farmers face the New Normal era and able to increase breeders' income. This research was conducted in 3 central districts of laying hens in Bali Province using a survey method. The research location was determined by purposive sampling technique. The results of the IFAS-EFAS analysis showed an internal factor value of 3.65 and an external factor value of 3.31 indicating the position of the laying hen business in Bali Province is in quadrant I, namely growth and build strategy. Alternative strategies that need to be increased more intensively are: 1) Expansion of market share outside Bali (West Region to Jakarta and Eastern Region to East Nusa Tenggara), 2) Expansion of business scale by increasing capital, 3) Selecting less productive laying hens.
Autonomian auvo ja kiro
Authors: Kuisma Merja 
Published: April 2023

Julkisessa keskustelussa on kannettu huolta yläkoulun ja lukion oppilaiden ja opiskelijoiden kyvystä suoriutua opinnoissa, joissa heille annetaan runsaasti vapautta suunnitella ja toteuttaa itse omaa oppimistaan. Eri-ikäiset oppijat kuitenkin hyötyvät vapaudesta, kunhan opettaja ohjaa sopivassa määrin oppimisprosessia. Tutkiva oppiminen tarjoaa oppijalle mahdollisuuden kokea jokaiselle ihmiselle tärkeitä asioita, kuten autonomiaa eli itsekseen pärjäämistä sekä kompetenssia eli pätevyyden tunnetta. Lisäksi tutkiva oppiminen voidaan toteuttaa yhdessä oppien, jolloin oppijat kokevat kullekin meistä tärkeää aitoa yhteyttä ja vuorovaikutusta muihin ihmisiin.
Väitöstutkimus osoittaa, että tutkiva oppiminen mahdollisti paremmat tiedolliset oppimistulokset kuin perinteisempi opettajakeskeinen opetusmalli. Yläkoululaisilla myös motivaatiotaso nousi. Lisäksi kävi ilmi, että molempien ikäryhmän oppijat pystyivät omaksumaan tarvittavat itsesäätelyn taidot kyseisen opintojakson aikana, olivatpa heidän oppimisen itsesäätelytaitonsa alussa hyvät tai huonot.
Analisis Kualitas ISO 25010 Aplikasi Artificial Intelligence Troubleshooting Komputer dengan FURPS
Authors: Anugrah Septriyan , Putra Andri Eka 
Published: April 2023

Artificial Intellegent Application Computer Troubleshooting is an application developed with the aim of being a tool to understand the damage to the computer. The method used in this test is ISO 25010 on the FURPS concept. The results show that the internal quality of this application has been achieved by meeting the requirements of FURPS. Keyword ISO 25010; Quality Analysis; Artificial Intellegent Aplication; Computer Troubleshooting; FURPS
The Role of Perceived Social Support on Psychological Well-Being of University Students During the COVID-19 Pandemic
Authors: Aw Jian Xin , Mohamed Nor Firdous , Rahmatullah Bahbibi 
Published: April 2023

Past research revealed concerns over the depressive symptoms and psychological well-being of university students. The present study utilizes a stratified random sampling to examine the role of perceived social support on psychological well-being between depressed and non-depressed university students during the COVID-19 pandemic in Malaysia. This study recruited a total of 244 university students from different universities across Malaysia from November 2021 to July 2022 through social media such as Facebook, Instagram, and WhatsApp.
A prevalence rate of 50.4% of university students was found to present significant depressive symptoms. There is a significant correlation between perceived social support and psychological wellbeing (r = 0.769, p < 0.05). Non-depressed university students reported significantly higher on their perceived social support and psychological well-being than university students with significant depressive symptoms with values of p<0.001 and p<0.043. Among depressed university students, perceived social support from friends and significant others was reported to be significantly lower than non-depressed university students with a value of p<0.001 and p<0.023.
Overall, the present study discovered that a higher level of perceived social support could predict greater psychological well-being and reduced depressive symptoms among university students. Hence, perceived social support should be promoted as an effective intervention for university students due to its accessibility and cost. Future research should look into the effectiveness of perceived social support and other psychological resources for university students with different mental health concerns.
Algunas reflexiones sobre los servicios públicos e iniciativa económica local: Balance tras diez años de aprobación de la LRSAL
Authors: Montoya Martín Encarnación 
Published: April 2023

El trabajo tiene por objeto una reflexión acerca de los servicios públicos locales y la iniciativa económica local cuando se aproxima el décimo aniversario de la promulgación de la Ley 27/2013, de 27 de diciembre, de Racionalización y Sostenibilidad de la Administración local (LRSAL). Se trata de hacer un balance de su aplicación, de una parte, de los aspectos que estimamos más deficientes y problemáticos en esta materia: en particular el propio concepto de servicio público local y su delimitación con las actividades económicas locales e íntimamente relacionado con dicha diferenciación, la determinación del procedimiento legalmente establecido para la implantación y modificación de las formas de prestación de los servicios públicos. Se trata pues, de “viejos” problemas pendientes de resolver. Asimismo, se examina la incidencia de la legislación autonómica de régimen local promulgada tras la LRSAL en el régimen de gestión de los servicios públicos y ejercicio de la iniciativa económica local.
Entre los aciertos de la LRSAL se analiza la incorporación de la perspectiva del impacto sobre el mercado y la concurrencia. Asimismo, se pone de manifiesto la ausencia de una política pública sobre la calidad de los servicios públicos locales.
Observatorio Urbano Universitario (OUU)
Authors: Hernández Bonilla Mauricio 
Published: April 2023

El Observatorio Urbano Universitario (OUU) de la Facultad de Arquitectura, región Xalapa, de la Universidad Veracruzana tiene como objetivo monitorear diversos indicadores relacionados con la dinámica y los procesos urbanos de Xalapa. Entre estos, se monitorea anualmente el indicador llamado “Inversión municipal destinada a la construcción y mantenimiento de los espacios públicos”. Este indicador mide el gasto anual que se hace en relación con los espacios públicos de la ciudad como parques, plazas, espacios deportivos y culturales, bibliotecas, mercados, vialidades; también se monitorea dónde y cómo se realizan estas inversiones en la ciudad. Para efectos de este reporte se presentan los resultados para el año 2021 dentro del cual se destinó un 36% del total del ejercicio fiscal para la construcción, mejoramiento y/o mantenimiento de los espacios y equipamientos públicos en la ciudad.