bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Novel Rat Model of Embolic Cerebral Ischemia Using a Cell-Implantable Radiopaque
Authors: Komatsu Teppei , Ohta Hiroki , Takakura Naoki , Hata Junichi , Kitagawa Tomomichi , Kurashina Yuta , Onoe Hiroaki , Okano Hirotaka James , Iguchi Yasuyuki 
Published: January 2023

Abstract
Background and Purpose
The failure of neuroprotective treatment-related clinical trials, including stem cell therapies, may be partially due to a lack of suitable animal models. We have developed a stem cell-implantable radiopaque hydrogel microfiber that can survive for a long time in vivo. The microfiber is made of barium alginate hydrogel containing zirconium dioxide, fabricated in a dual coaxial laminar flow microfluidic device. We aimed to develop a novel focal stroke model using this microfiber.
Methods
Using male Sprague-Dawley rats (n = 14), a catheter (inner diameter, 0.42 mm; outer diameter, 0.55 mm) was navigated from the caudal ventral artery to the left internal carotid artery using digital subtraction angiography. A radiopaque hydrogel microfiber (diameter, 0.4 mm; length, 1 mm) was advanced through the catheter by slow injection of heparinized physiological saline to establish local occlusion. Both 9.4-T magnetic resonance imaging at 3 and 6 h and 2% 2,3,5-triphenyl tetrazolium chloride staining at 24 h after stroke model creation were performed. Neurological deficit score and body temperature were measured.
Results
The anterior cerebral artery-middle cerebral artery bifurcation was selectively embolized in all rats. Median operating time was 4 min (interquartile range [IQR], 3–8 min). Median infarct volume was 386 mm3 (IQR, 354–420 mm3) at 24 h after occlusion. No infarction of the thalamus or hypothalamus was seen. Body temperature did not change significantly over time (P = 0.204). However, neurological deficit scores before and at 3, 6, and 24 h after model creation differed significantly (P < 0.001).
Conclusions
We present a novel rat model of focal infarct restricted to the middle cerebral artery territory using a radiopaque hydrogel microfiber positioned under fluoroscopic guidance. By comparing the use of stem cell-containing versus non-containing fibers in this stroke model, it would be possible to determine the efficacy of "pure" cell transplantation in treating stroke.
Forecasting the Pakistan’s Leading Stock Exchange During Covid-19 Using Machine learning (ML) Algorithms: Model Development and Validation
Authors: Munir Tahir , Mamlook Rabia Emhamed Al , Rahman Abdu R , Shrestha Sujeet , Bzizi Mohamed , Aljohani Abeer 
Published: January 2023

Abstract
During COVID-19, marketing shows sharp fluctuation in upward and downward trends. Forecasting price actions is one of the most challenging problems in this situation. It is challenging to build an accurate model, which integrates economic and Covid-19 variables as input for KSE index prediction. To tackle this problem, our proposal comprises applying machine learning (ML) techniques to predict the KSE during Covid-19. The principal aim of this study is to examine accuracy of combined models with individual models to forecast the Karachi Stock Exchange during COVID-19. This study has analyzed the indices of KSE from March 1st, 2020, to November 26th, 2021. Therefore, this study is keen to find the best-fitted model that forecasts more accurately during the pandemic. To select the most suitable machine learning technique, the six inferred models (i.e., Linear regression (LR), Artificial Neural Network (ANN), Regression Tree (RT), Random Forests (RF), (KNN), and Support Vector Regression (SVR)) are selected to forecast the Karachi Stock Exchange During Covid-19. Performance metrics (i.e., MAE, MSE, MAPE, and R2) are applied to measure and compare accuracy. The modeling outputs presented the RF model provided the best performance of 0.98 versus the other models in predicting the KSE100 index. Thus, the addition of ML methods improves the exchange indications and the competitiveness of future trading guidelines. These projections helped the government to make strategies for the stock exchange KSE-100 and fight against a pandemic disease. The results suggest that the performance of the KSE-100 index can be predicted with machine-learning techniques.
Effect of Macleaya cordata extract on the growth performance and growth-related expression gene pathways in rats was investigated by liver transcriptome technology
Authors: Wu Yong , Wu Rongrong , Li Xiang , Liu Gao-feng , Shen Li-Xia , Huang Chong-yin , Cao Yu-Hang , Peng Xiong , Liu Zhao-Ying , Sun Zhi-Liang , Liu Yi-Song 
Published: January 2023

Abstract
Macleaya cordata is a perennial upright herb belonging to the family Papaveraceae that represents a natural and low-residue product that has good effects in the prevention and treatment of livestock and poultry diseases and improves production performance; moreover, drug resistance to Macleaya cordata is difficult to establish. However, the specific mechanism of action is not clear. Therefore, this study was performed to clarify the molecular mechanism through transcriptome technology. Thirty-six specific pathogen free (SPF) male Sprague Dawley (SD) rats were divided into 3 groups of 12 rats each: high and low dose groups of 0.5 mg/10 g bw.d and 0.05 mg/10 g bw.d, respectively, and a blank group administered normal saline. Three livers from each group were collected for transcriptome sequencing, and Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) annotation, and pathway enrichment analyses of differentially expressed genes (DEGs) were performed. Transcriptome sequencing results revealed 104 upregulated and 354 downregulated genes in the high-dose group and 116 upregulated and 46 downregulated genes in the low-dose group compared with the blank group. The GO analysis showed that the DEGs were mainly associated with ATP metabolism, molecular transmembrane transport, protein decomposition and regulation, and nitrogen metabolism. The KEGG pathway enrichment analysis showed that the DEGs were mainly involved in cell proliferation and differentiation, amino acid metabolism, lipid transport, purine metabolism, and gluconeogenesis. Eight differentially expressed genes (RAD15D, BMP7, NFATC4, HDC, RPS6, RPS25, MRP133, and COX6C) verified by qRT-PCR were consistent with the trend of transcriptional sequencing.
A study on the behavior of RC beams provided with WWM as shear reinforcement for different shear span to depth ratios
Authors: D Rama Seshu , Ch Manjula. , Rao T. D.G. , K Rao C B 
Published: January 2023

Abstract
It known from the literature that shear behavior of RC beams is influenced by the shear span to depth ratio (a/d). In general, the stirrups are used in providing the shear resistance in RC beams. The use of conventional stirrups makes the high shear stress region i.e., the core zone of RC beam cross section as un-reinforced. This makes the shear cracks to propagate rapidly in the core zone and leads to the brittle failure of RC beams under shear. The use of Welded wire mesh (WWM) as a transverse reinforcement in place of conventional stirrups makes the core zone of the RC beam cross section reinforced and provides better shear resistance. This paper presents an experimental investigation on the effect of using welded wire mesh as core zone transverse reinforcement in place of conventional stirrups in RC beams with different shear span to depth ratio. The experimental study indicated the effectiveness of WWM in RC beams with a/d > 2.5 and shown the better performance compared to the shear resistance of RC beams provided with the conventional stirrups. A new parameter termed as ‘Mesh index’ which takes in to account indirectly the effect of welded wire mesh (WWM) has a good correlation in predicting the shear strength of RC beams.
Effective approaches to public involvement in care home research: a systematic review and narrative synthesis
Authors: Burgher Tanisha , Shepherd Victoria , Nollett Claire 
Published: January 2023

Abstract
Background
Public involvement (often referred to as patient and public involvement or PPI) integrates the voices of the public in health and care research. However, groups such as care home residents are often excluded from involvement opportunities due to the complexities of involving people with additional care and communication needs. Despite a range of approaches being used, there is little understanding about how best to incorporate their experiences, and those of other care home stakeholders, into the design and conduct of research.
Objective
A systematic review was conducted to identify PPI methods that better meet the specific needs of care home stakeholders. This was undertaken by i) outlining effective PPI approaches used in care home research and the key stakeholders involved; ii) describing the role of PPI in different care home contexts and iii) identifying stakeholders’ experiences and attitudes towards PPI in care homes.
Methods
Databases CINAHL, Embase, MEDLINE, PsycINFO and Scopus were searched for English language papers from inception to November 2021. A narrative synthesis approach was utilised to organise the extracted data into five themes.
Results
The search initially yielded 2314 articles (following de-duplication), with 27 meeting the inclusion criteria. Articles reported a range of input from stakeholders (including residents, staff, relatives and community stakeholders), with the impact of PPI varying according to the type of care establishment and research context. The experiences and reflections of stakeholders’ about their involvement in care home research was explored at differing levels. Some articles explicitly evaluated the effectiveness of the PPI approach using specific outcome measures whilst others indirectly described the impact of their approach. Five themes were identified as characterising an effective PPI approach: i) valuing stakeholders’ perspectives, ii) awareness of the multi-faceted research context, iii) ensuring inclusivity and transparency, iv) maintaining flexibility and adaptability and v) utilising resources and wider support.
Conclusion
Effective PPI in care home research requires researchers to create person-centred opportunities to adequately involve groups with physical and cognitive impairments. The findings led to the creation of evidence-based practical recommendations to support future involvement opportunities and help researchers develop strategies for inclusive opportunities for involvement.
Systematic Review Registration:
The review was prospectively registered on PROPSERO (CRD42021293353).
Implementation of Construction Automation and Robotics (CAR) in Indonesian Construction State-Owned Enterprises: Position in Project Life Cycle, Gap to Best Practice and Potential Uses
Authors: Tanne Yongki Alexander , Indrayani Ni Luh Ayu 
Published: January 2023

Abstract
Construction Automation and Robotics (CAR) is the anticipated technology to overcome productivity issues and work accidents, especially in developing countries. This research analyzes the implementation of CAR at Indonesian Construction SOEs from the perspective of real project implementation based on PLC, comparison with best practices, and potential uses, through the qualitative analysis of the literature as well as questionnaires and in-depth interviews. The results are compared qualitatively to obtain answers to the research objectives. This research identifies that seven Indonesian Construction SOEs have been using CAR technology, where Unmanned Aerial Systems (Drones), Virtual Reality (VR), and Prefabrication and Modularization are the most popular and mostly implemented in the construction phase. Compared to best practice, CAR implementation is still in the adoption stage. It has not reached its full potential through the development stage due to insufficient collaboration between contractors, technology companies, and universities. Although the construction market in Indonesia has not directly demanded CAR application, this technology is potentially considered to improve the completion of construction projects, especially the interaction prospect of Digital Twin (DT) and BIM. This study provides complete positional information on CARs type in the PLC in theory and practice as a benchmark for CAR research. This study fills the research gap and pioneering Indonesia’s CAR research in international journals and provides the latest and comprehensive overview of CAR implementation in Indonesia compared to best practices (USA and China).
Meta-model of Human Recognition-behavioral Adaptation System
Authors: Masuda Yutaka 
Published: January 2023

Abstract
Single-model is defined to an informative representation for identifying a property of a target object/phenomenon, and meta-model integrates the relevant single-models to explain phenomenological realities in the different aspects. Scientific modeling is a syllogistic system of definitive premise, sound inference and consistent explanation to understand, define, quantify, visualize or simulate feature of the target. Human recognition-behavioral adaptation is an information-metabolism system to maintain homeostasis of human-self, and that has been investigated in the different aspects. I analyzed Human recognition-behavioral adaptation system via scientific modeling. Neurological meta-model of Human recognition-behavioral adaptation system was constructed as complex-network of the neuronal modules, and the meta-model was integrated to Mentality-model in the psychiatric aspect, and to Personality-model in the psychological aspect. The integrated models successfully explained phenomenological realities in the aspects. From the above results, I comprehended that the neurological meta-model is the core of Biopsychosocial model integrating the biological, psychological and socio-environmental factors.
Adherence to Iron-Folic Acid among Pregnant Women Attending Antenatal Care at Wolaita Zone Public Primary Hospitals in Southern Ethiopia, 2022
Authors: Geta Temesgen , Ashiko Adisu , Tilahun Cherinet 
Published: January 2023

Abstract
Background: Among the micronutrient deficiencies, iron and folic acid are the most common and frequently occur in pregnant women. So, the objective of this study was to assess the adherence to iron and folic acid among pregnant women booking antenatal services in the study area.
Methods and materials
A facility-based cross-sectional study design was employed from January – April 2022. A structured questionnaire was used for data collection using systematic sampling techniques to approach 327 pregnant women. Data was entered and analyzed using SPSS version 20 software. Descriptive analysis was performed. Adjusted odd ratios, along with corresponding 95% confidence intervals, were used and the level of statistical significance was declared at a p-value of <0.05 with a corresponding 95% CI.
Result: In this study, 339 (99%) pregnant women participated. The respondents' average age was 28.04 SD 5.3 years. The prevalence of adherence to iron and folic acid supplementation among pregnant women was 68.1% (95% CI: 63.1–72.9). Mothers whose age less than 19 [AOR = 0.025; CI 95% (0.003, 0.218)], daily laborers [AOR = 0.127; CI 95% (0.028, 0.568)], and who had no history of abortion [AOR=0.276; CI 95% (0.086, 0.891)] were associated with adherence to iron-folic acid supplementation.
Conclusion: In this study, adherence to IFA supplementation among pregnant women in the study area is relatively high. Appropriate counseling, and health education should be given to pregnant women to enhance their adherence.
The Computational Study of Pb-based Buckyballs Behavior as Radiation Protectors for Uranium-based Compounds: Molecular Dynamics Approach
Authors: Panah Mohammad Pour , Sabetvand Roozbeh 
Published: January 2023

Abstract
In this computational research, the atomic behavior of Pb-based buckyballs (such as Pb500, Pb540, and Pb720) for uranium-based compounds (such as O0.12U0.88, O2.34U, and F6Na2U) radiation protection introduced using Molecular Dynamics (MD) approach for nuclear applications. The outputs of this computational simulation approach is reported by kinetic energy, atomic volume, interaction force and interaction energy of defined samples. Computationally, uranium-based compounds modeled by Universal Force Field (UFF) and Embedded Atom Model (EAM) used for Pb-based structure. Simulation results shows the potential energy of simulated structures reached to a negative value after 5 ns. This calculation indicated the atomic stability of modeled nanostructures at T = 300 K and P = 1 bar as initial condition (standard condition). Furthermore, simulation results shows the Pb500, Pb540, and Pb720 buckyballs have appropriate performance for radiation protect procedures. Numerically, by using (mixing) these buckyballs, the kinetic energy of detector ion (He ion) converged to 0.42 eV. Also interaction energy/force between uranium-based compound and Pb-based structures decreases to 1.36eV / 1.61eV/Å value.
Assessment of Concentrations of Heavy Metals in Three Leafy Vegetables Irrigated with Wastewater in Hadnet District, Mekelle, Ethiopia
Authors: Tekle Hailekiros Tadesse , Sbhatu Desta Berhe , Gebreyohannes Gebreselema 
Published: January 2023

Abstract
Objective
Urban and peri-urban agriculture is being promoted as a sector of livelihood and economic activities in many parts of the world including Ethiopia. Mekelle city is one of the Ethiopian cities suitable for urban and peri-urban agriculture for cultivating leafy vegetables using wastewater. The consumption of unprocessed and processed leafy vegetables is also very high in the city. However, the quality of the produces has been of a great public health concern. Thus, this study was aimed to investigate the quality of wastewaters in Hadnet district of Mekelle used to irrigate lettuce, spinach and cauliflower and the safety of the vegetables in terms of accumulation heavy metals.
Result
Wastewater samples collected from four experimental sites in the district were found to have higher concentrations in 4 (i.e., Cd, Cr, Cu, and Mn) of the 10 heavy metals tested than the permissible limit estbalished by the FAO (1985). Interestingly, spring water samples collected from another district called Kallamino, designated as comparison site, also have higher concenterations in 4 (i.e., Al, As, Cd, and Cu) of the 10 heavy metals tested. But the leafy vegetables grown in the least contaminated experimental site was found to have higher concentrations in 6 or 7 of the 10 heavy metals tested. Vegetables grown in the comparison site were nearly clean. The lettuce and spnach had elevated concentration of As and Al, respectively. While the fast growing lettuce has higher accumulation of the heavy metals, the slow growing cauliflower had lower accumulation. Such elevated accumulaion of heavy metals in these vegetables could be due to the presence of higher soil contamination and enahnced bioaccumulation capacity of the plants.
Conclusion
The wastewater used to irrigate vegetable farms in Hadnet district of Mekelle is not safe enough. More importantly, the soils of the farms might have accumulated far more amount of heavy metals. The lettuce, spinach and cauliflower cultivated there are highly contaminated. Thus, the use of wastewater for irrigating urban and peri-urban farms need to be regulated, the suitability of the soils of the farms need to be examined, and consumers of these leafy vegetables need be cautious.
Three-Dimensional Reconstruction of Coronal Features: a Python Tool for Geometric Triangulation
Authors: Nisticò Giuseppe 
Published: January 2023

Abstract
The determination of the three-dimensional (3D) geometry of coronal features is important for understanding the magnetic structuring of the solar atmosphere. In this context, the length of a coronal loop, which is subject to standing transverse oscillations, is a crucial parameter in coronal seismology for the correct estimation of the phase speed of the wave and, consequently, of the Alfvén speed and coronal magnetic field strength. Simultaneous space-based observations of the solar corona from different vantage points, e.g. one from the Solar Dynamics Observatory (SDO) and the second from the Solar TErrestrial RElations Observatory (STEREO), have permitted the reconstruction of the geometry of coronal loops. Nisticò, Verwichte, and Nakariakov (2013) proposed a method based on principal component analysis for fitting an ensemble of 3D points that sample a coronal loop. This method was shown to retrieve easily the main geometric parameters that define a loop, such as the loop axes and the loop plane. In this article, an extension of that work is presented that includes a Python tool for performing geometric triangulation of coronal features seen by two different observers.
Sensitive and efficient surveillance of Japanese giant salamander (Andrias japonicus) distribution in Western Japan using multi-copy nuclear DNA marker
Authors: Hidaka Shunsuke , Jo Toshiaki , Yamamoto Satoshi , Katsuhara Koki , Tomita Sei , Miya Masaki , Ikegami Makihiko , Ushimaru Atushi , Minamoto Toshifumi 
Published: January 2023

Abstract
Japanese giant salamander (Andrias japonicus) is one of the largest amphibian species in the world and an iconic species in Japan. However, as its distribution has recently declined across the country, rapid and extensive monitoring of its distribution is urgently required for its efficient conservation. Here, we used environmental DNA (eDNA) analysis to assess the distribution of Japanese giant salamanders in Western Japan; 410 water samples were collected from 12 rivers. We then developed a new eDNA assay for multi-copy nuclear DNA (nuDNA) of the giant salamander and compared the eDNA detectability of the nuDNA marker with that of the mitochondrial DNA (mtDNA) marker. Throughout the survey, we detected the target eDNA from 162 water samples using either of the markers, which generally corresponded to the known natural distribution range of the species. Additionally, the use of a nuDNA marker allowed for higher detectability and site-level occupancy probability of the target eDNA than the mtDNA marker. Moreover, the detectability of target eDNA decreased substantially in water samples with higher conductivity and partly in those with higher pH, indicating its negative impact on the salamander’s ecology. The results demonstrated that eDNA analysis with a multi-copy nuDNA marker is highly useful for efficient and sensitive surveillance of the distribution of Japanese giant salamander. Our study provides fundamental resources and methodology for monitoring their distribution using eDNA analysis and facilitating their conservation.