bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interventional real-time molecular MRI allows diagnostic targeting of early myocardial injury in a pig model of ischemia and reperfusion
Authors: Heidt Timo , Reiss Simon , Thielmann Julien , Weber Christian , Maier Alexander , Lottner Thomas , Cristina-Schmitz Heidi R. , Bühler Timon , Chiang Diana , Jülicher Claus , Wadle Carolin , Hilgendorf Ingo , Wolf Dennis , Tumlinson Gavin , Hortells Luis , Westermann Dirk , Bock Michael , Mühlen Constantin 
Published: April 2024

Abstract
Introduction: Inflammation is a hallmark of post-ischemic myocardial injury. Expression of P-selectin by platelets and activated endothelial cells drives recruitment of immune cells to the deprived area and may serve as an early indicator of tissue injury. Due to its high soft tissue contrast, magnetic resonance imaging (MRI) is used for myocardial tissue characterization. Molecular imaging further allows for functional assessment using target-specific contrast agents. In this study, we assessed ischemic cardiac lesions non-invasively within the first hours after ischemia/reperfusion (I/R) in a porcine model using standard and advanced MRI techniques as well as molecular imaging targeting the cell adhesion molecule P-selectin. Methods: For molecular imaging, a monoclonal P-selectin antibody was functionalized with microparticles of iron oxide (MPIO). Specific binding to the target was confirmed by in vitro flow chamber using activated platelets as well as endothelial cells. In vivo, we used a closed-chest model of I/R of the circumflex artery in juvenile farm pigs by balloon-occlusion for 40 minutes, and real time MRI-guided coronary injection of MPIO-based contrast agents. 3T MRI was performed 2–4 hours after reperfusion, and lesions were characterized using injury (T1 mapping, LGE), edema (T2 mapping) and iron (T2* mapping) sensitive MRI. Results: Within the first hours after I/R, we detected increased inflammatory activity by means of higher numbers of innate immune cells in the blood. We found T1 mapping to be most sensitive for tissue injury, while no changes were detectable in edema-sensitive T2 mapping this early. Intriguingly, P-selectin MPIO contrast agent selectively enhanced the ischemic area in iron sensitive T2* mapping 4 hours after I/R which was confirmed histologically, while late gadolinium enhancement was always absent. Conclusion: By using real time MRI-guided coronary intervention, molecular MRI using P-selectin MPIO allows for sensitive detection of early myocardial inflammation after I/R beyond the capabilities of traditional edema sensitive imaging.
DataSet for Unflappable Driving : UNFLAPSet
Authors: Kim SuBi , Kang JiEun , Yoon YongIk 
Published: April 2024

Abstract
Autonomous vehicles must be aware of dynamic and static objects, road lanes, road signs and road markings. Recent autonomous vehicles awareness studies adaptable to various road environments continues, it is necessary to construct datasets that accurately reflect the real driving environment. The existing datasets consist of annotations that focus on dynamic and static objects, lanes, and road signs in the driving environment. These annotations enable management of object distance and avoidance, lane recognition and maintenance and awareness of road signs. Although road markings on the road surface provide the traffic regulations and guidance for driving lanes in the driving environment, there is a lack of the road marking datasets containing various types of directions and regulations. When driving without recognizing road markings, difficulty in recognizing lane information poses challenges in determining the appropriate lanes for the driving route and the limitation in predicting the movement of surrounding cars presents difficulties in maintaining stable driving responses. This paper presents a road marking dataset, UNFLAPSet(UNFLAPpable Set). UNFLAPSet is able to be aware of multidimensional information by including the various types of direction and regulations compared to existing road marking datasets. UNFLAPSet consists of three classes - 1. Driving Direction Centric class(DDCclass) 2. Capable of Lane Maneuver class(CLMclass) 3. Specific Condition Caution class(SCCclass), which are based on the meaning of road markings for emphasizing the primary implication of labels unlike the existing road marking datasets. Especially, Merge Line, Merge Arrow and Uturn Dot Line of CLMclass enable the prediction of surrounding vehicles’ movement and subsequently allow for stable responses. Furthermore, restricted direction road markings of SCCclass helps mitigate the risk of accidents caused by driving in unsuitable lanes, thereby facilitating the maintenance of smooth traffic flow. The validation results of UNFLAPSet showed high recognition accuracy for each label, enabling predictable driving integrated perception of driving lanes and surrounding lanes based on road surface marking recognition using UNFLAPSet.
Forecasting Day-Ahead Electricity Prices in Irish Markets: Time Series and Machine Learning Approaches and Performance Evaluation
Authors: Mandadapu Purnachandra 
Published: April 2024

Abstract
Electricity price forecasting has become increasingly vital following the liberalization of electricity markets—ushering in a more competitive environment for electricity generation and distribution. Notably, electricity prices in Day-Ahead Markets (DAMs) hold significant sway, influencing decisions made by energy traders. However, modeling electricity prices poses challenges due to their inherent characteristics such as heteroscedasticity, sharp price spikes, and multiple levels of seasonality. Therefore, in this study, we delve into various methodologies from existing literature to forecast electricity spot prices within the Irish DAM. Our focus lies on employing time series and Machine Learning (ML) techniques to predict prices for all 24 hours of each DAM auction facilitated by the Single Electricity Market Operator (SEMO). For this, we begin by providing a concise overview of the electricity market and its functioning, particularly concerning our objective of price forecasting within the DAM. Subsequently, we elucidate the key aspects of the data utilized in this study. Following this, we offer succinct explanations of each model employed, detailing their structures and preparatory steps for the modeling task. Central to our analysis are the results showcasing the performance of each model relative to a benchmark, along with a brief discussion on the significance of predictors in the forecasting process. Finally, based on our findings, we draw conclusions and outline potential avenues for further research and development.
Comparison of the coverage of the USPTO’s PatentsView and the EPO’s PATSTAT patent databases: a reproducibility case study of the USPTO General Patent Statistics Reports
Authors: Mafata Mpho , Linde Ian D. van der , Winnink Jos J. , Tijssen Robert J.W. 
Published: April 2024

Abstract
Patent statistics from various sources are often cited in science, technology, and innovation (STI) studies and STI policies, usually as a proxy for measuring output and activity related to technological innovation. But how reliable are those statistics? The reproducibility of numerical data originating from these information sources may be low, as the query methodology and data coverage of those sources is often omitted or unclear in documents that report on patent-based data collection and comparative analysis. Given the importance of reliable, reproducible statistics as the foundation of evidence-informed policymaking, this study aimed to conduct a reproducibility exercise for the patent statistics produced by USPTO’s Patent Technology Monitoring Team (PTMT) and compare them with statistics derived from PatentsView and PATSTAT patent databases. Comparing the two databases, four types of coverage were investigated, namely: intellectual property (IP) types, geographic (countries and territories) coverage, owner/inventor coverage, and technological coverage. Although there were similarities in the historical trends between the coverage of PATSTAT and PatentsView, the absolute counts data presented high levels of variability. PatentsView had highly varying coverage compared to PTMT, which may be due to excessive generation of secondary fields derived from the original data. Additionally, PATSTAT covered earlier dates (from 1790) compared to PatentsView (from 1976). As for tracking of relative trends in patent output, either database could be chosen, but the choice will highly influence the outcomes of patent-based bibliometric studies.
3D-Bioprinting and AI-empowered Anatomical Structure Designing: A Review
Authors: Bhardwaj Neha , Sood Meenakshi , Gill Sandeep Singh 
Published: April 2024

Background::
The recent advancements and detailed studies in the field of 3D bioprinting have made it a promising avenue in the field of organ shortage, where
many patients die awaiting transplantation. The main challenges bioprinting faces are precision during printing, vascularization, and cell
proliferation. Additionally, overcoming these shortcomings requires experts from engineering, medicine, physics, etc., and if accomplished, it will
significantly benefit humankind

Objective::
This paper covers the general roadmap of the bioprinting process, different kinds of bioinks, and available bioprinters. The paper also includes
designing the anatomical structure, which is the first phase of the bioprinting process, and how AI has facilitated this entire process of 3D printing
in healthcare and associated applications like medical modelling and disease modelling.

Methods::
The process of 3D bioprinting involves meticulous structure designing of the anatomical structure under study, which forms the base of the entire
bioprinting process. One of the significant applications of 3D printing in healthcare is Medical Modelling and Disease Modelling, which requires
the detection of disease in anatomy and its delineation from the rest of anatomy for meticulous creation of ROI using sophisticated segmentation
software(s) for the construction of 3D models of diseased anatomy and healthy anatomical surroundings.

Conclusion::
The study concluded that bioprinting is the future of the worldwide organ transplantation crisis. Anatomical accuracy is an important aspect that
must be considered while producing 3D models. The reproduction of patient-specific 3D models requires human rights and ethics approval under
four principles of ethics in healthcare: autonomy, non-maleficence, beneficence, and justice.
Molecular Dynamics Simulation of SARS-CoV-2 E Ion Channel: The Study of Lone Protein and its Conformational Changes in Complex with Potential Cage Inhibitors
Authors: Shiryaev Vadim Andreevich , Ivleva Elena Alexandrovna , Zaborskaya Maria Sergeevna , Tkachenko Ilya Michailovich , Osyanin Vitaly Alexandrovich , Klimochkin Yuri Nikolaevich 
Published: April 2024

Background:
The coronavirus E ion channel has previously been studied as a potential
target for antiviral therapy, with several compounds found to bind to the channel. However,
these compounds have low activity, searching for effective E ion channel inhibitors of great importance.

Objective:
This study aimed to develop a computational approach for designing ligands for the
coronaviral E ion channel and identify potential inhibitors based on this approach.

Methods:
The structure of the E-ion channel was refined using molecular dynamics, and the
pore responsible for binding cage compounds was selected as the inhibitor-binding site. Potential
inhibitor structures were identified using molecular docking, and their binding was confirmed
using molecular dynamics simulations.

Results:
A number of potential SARS E ion channel inhibitors have been identified, and the
binding modes and possible mechanisms of action of these inhibitors have been clarified.

Conclusion:
This study presents a computational approach that can be used to design ligands
for E ion channels and identify potential inhibitors, providing valuable insights into the development
of new antiviral therapies. The behavior of the E protein pentamer of SARS-CoV-2 in
its native environment was investigated using Molecular Dynamics (MD), resulting in an equilibrated
structure that could be used to develop new inhibitors through molecular docking. Simulation
of the MD of E-channel complexes with amantadine analogues allowed for the identification
of the main types of ligand-protein interactions that are responsible for the good binding of
ligands within the channel's inner chamber.
Functional Investigation and Two-sample Mendelian Randomization Study of Inguinal Hernia Hub Genes Obtained by Bioinformatics Analysis
Authors: Lu De Kun , Guo Zheng Chang , zhang Jia Jia , Yu Xin , Zhang Zong Yao 
Published: April 2024

Background:
Inguinal hernia in adults is a common and frequent disease in surgery,
prone to occur in the elderly or in those with a weak abdominal wall. Despite its prevalence,
Molecular mechanisms underlying inguinal hernia formation are unclear.

Objective:
This study aims to identify potential gene markers for inguinal hernia and available
drugs.

objective:
This study aims to identify potential gene markers for inguinal hernia and available drugs.

Methods:
Pubmed2Ensembl text mining was used to identify genes related to "inguinal hernia"
keywords. The GeneCodis system was used to specify GO biological process terms and KEGG
pathways defined in the Kyoto Encyclopedia of Genes and Genomes (KEGG). The STRING
tool was used to construct protein-protein interaction networks, which were then visualized using
Cytoscape.CytoHubba and Molecular Complex Detection were utilized to analyze the module
(MCODE). A GO and KEGG analysis of gene modules was conducted using the DAVID
platform database. Hub genes are those that are concentrated in prominent modules. The druggene
interaction database was also used to identify potential drugs for inguinal hernia patients
based on their interactions between the hub genes. Finally, a Mendelian randomization study
was conducted based on genome-wide association studies to determine whether hub genes cause
inguinal hernias.

Results:
The identification of 96 genes associated with inguinal hernia was carried out using
text mining techniques. It was constructed using PPI networks with 80 nodes and 476 edges,
and the sequence of the genes was performed using CytoHubba. MCODE analysis identified
three gene modules. Three modules contain 37 genes clustered as hub candidate genes associated
with inguinal hernia patients. The PI3K-Akt, MAPK, AGE-RAGE, and HIF-1 pathways
were found to be enriched in signaling pathways. Sixteen of the 37 genes were found to be targetable
by 30 existing drugs. The relationship between hub genes and inguinal hernia was examined
using Mendelian randomization. The research revealed nine genes that may be connected
with inguinal hernia, such as POMC, CD40LG, TFRC, VWF, LOX, IGF2, BRCA1, TNF,
and HGF in the plasma. By inverse variance weighting, ALB was associated with an increased
risk of inguinal hernia with an OR of 1.203 (OR [95%] = 1,04 [1.012 to 1.089], p = 0.008).

Conclusion:
We identified potential hub genes for inguinal hernia, predicted potential drugs for
inguinal hernia, and reverse-validated potential genes by Mendelian randomization. This may
provide further insights into asymptomatic pre-diagnostic methods and contribute to studies to
understand the molecular mechanisms of risk genes associated with inguinal hernia.
Effect of Phytases in Pig Diets on Production Performance: Meta-analysis
Authors: Guachamín-Guachamín Ronny Alexander , Quisirumbay-Gaibor Jimmy Rolando 
Published: April 2024

Feeding is one of the most critical items in pig production. Phosphorus, protein, and energy sources represent the most expensive ingredients in the feed. Phytases are enzymes used for many years to take advantage of plant phosphorus and reduce costs. Despite many studies with various methodologies and results, they have not been thoroughly systematized. Therefore, this research aims to evaluate the effect of the inclusion of phytases on performance in pigs. Effect size, heterogeneity, meta-regressions, and publication bias were determined. Phytase-supplemented pigs gained 25.17 g (p < 0.05) more daily weight than controls. Piglets can gain up to 39.89 g (p < 0.05). The pigs ingested a greater amount of feed, 23.44 and 28.61 g (p < 0.05), per day than the control in the general analysis and piglets, respectively. Crude protein, metabolizable energy, total calcium and phosphorus, duration, and level of phytases in the diet affected performance (p < 0.05). No publication bias was found. Including phytases favors weight gain and feed intake in general pigs and piglets but not in growing-finishing pigs. The effect of other nutrients and the duration and level (dose) of phytases must be considered at the time of formulation.
Prognostic significance of <I>TLR3</I> and <I>TLR9</I> gene polymorphism in assessing the severity of COVID-19
Authors: Ashchina L. A. , Baranova N. I. , Bolgova A. I. , Levashova O. A. , Lesina O. N. 
Published: April 2024

Objective: to study polymorphic variants of TLR3 (rs3775291) and TLR9 (rs352140) genes in patients with COVID-19 depending on the severity of the disease and their significance for determining the risk of severe course of COVID-19.Materials and Methods: genetic analysis of polymorphism of TLR3 (rs3775291) and TLR9 genes (rs352140) was performed in 164 patients with COVID-19, who were divided by degree of severity into three groups: Group 1 with mild, Group 2 with moderate and Group 3 with severe and extremely severe degrees of severity. The control group consisted of 40 healthy donors. Statistical processing of the obtained results was carried out using STATISTICA 12.0 programs (Stat Soft, USA). To assess the difference of groups by qualitative characteristics, the χ2 criterion with Yates correction was used, and in case of violation of its conditions, the χ2 criterion was applied. Yates correction, and if the conditions of its applicability were violated, the two-sided Fisher’s two-sided criterion (RF). The difference between the groups was considered statistically significant at р<0,05. The strength of associations was evaluated in the values of the odds ratio index odds ratio (OR) and 95% confidence interval.> ˂ 0,05. The strength of associations was evaluated in the values of the odds ratio index odds ratio (OR) and 95% confidence interval.Results: the frequency of the ST genotype was significantly higher and the frequency of the TT genotype of the rs3775291 allele of the TLR3 gene was significantly lower in patients with the manifest form of COVID-19 compared with the control group. Frequency analysis of TLR9 (rs352140) in COVID-19 patients showed significantly higher values of the ST genotype and lower values of the CC genotype compared to healthy individuals. Comparative analysis between groups of hospitalized patients depending on severity revealed higher frequency of ST genotype and lower frequency of TT genotype of TLR3 (rs3775291) and TLR9 (rs352140) genes in patients with severe and extremely severe condition.Conclusion: reliable differences in the frequency of occurrence of genotypes of TLR3 (rs3775291) and TLR9 (rs352140) genes in patients with the manifest form of COVID-19 compared to healthy people were revealed. The analysis of nucleotide sequence variants of the studied genes in hospitalized patients depending on the degree of severity also showed significant differences in the frequency of genotypes. Thus, in patients with severe and extremely severe COVID-19, a significant difference in the frequency of occurrence of ST and TT genotypes of TLR3 (rs3775291) and TLR9 (rs352140) genes was revealed compared to patients with mild and moderate COVID-19, which may further have prognostic value in assessing the severity of the disease.
Impact of Diverse Plant Growth Regulators on Quality Traits of Garlic (Allium sativum L.)
Authors: Seelothu Rakesh , Medda P. S. , Dutta Babli , Ghosh Arunava , Khalko Surajit 
Published: April 2024

The present study was conducted at the instructional cum research farm of the Department of Plantation Crops and Processing of Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar, India during rabi season for consecutive two years (October-2019 to March-2020 and October-2020 to march-2021) to investigate the “Effect of Different Plant Growth Regulators on Quality attributes of Garlic (Allium sativum L.)” with various growth regulators (GA3@ 50 ppm, GA3 @ 100 ppm, GA3 @ 150 ppm, NAA @ 50 ppm, NAA @ 100 ppm, NAA @ 200 ppm, Kinetin @ 10 ppm, Kinetin @ 20 ppm, Kinetin @ 40 ppm and Control (Distilled water). In view of, effect of different plant growth regulators on quality attributes has observed significant variation. Results pertaining to total soluble solids, significantly highest TSS recorded under GA3 @100 ppm treated plots (32.10 °Brix), however, dry matter content of bulb was highest at GA3 @ 50 ppm (33.63%). Interestingly, highest oleoresin content of the bulb was also reported from the GA3 @ 50 ppm treated plots (0.24 g) with lowest physiological loss of bulb weight (7.04%). The control plots treated with distilled water was produced qualitatively inferior bulbs. The aim of the study provided valuable results to determine the potential growth regulator for enhancing post-harvest quality attribute of garlic by employing methodology of Randomized Block Design comprising of three replications with ten treatments. Based on the current experimental results, it may be concluded that foliar application of GA3 @ 50 ppm proved the best over other plant growth regulators.
Space Debris Capture - About New Methods of Tethered Space Net Opening by Tubular Booms
Authors: Pałgan Tomasz , Dacko Adam , Rataj Mirosław , Polak Szymon 
Published: April 2024

Abstract
Nowadays, space debris is one of the main subjects of discussion regarding satellites in Earth's orbit. Right now, there are about 26,000 orbiting satellites and only few of these satellites are operational. Recently, the Polish space sector has been strongly growing and delivering instruments working in space. The first part of this paper describes the several space instruments designed in the Space Research Centre Polish Academy of Science (SRC PAS). Instruments such as SWI, RPPWI, LPPWI, Ebox or Pre-boxes have been created for a mission to Jupiter named “JUICE”. After fulfilling their scientific mission, these instruments can increase the amount of debris in space. This is one of the reasons for taking up the topic of space debris reduction and the use of technical solutions used in this mission for the proposed solution presented later.
The second part of this paper describes the new methods related to space debris. The activities can be related to the space debris removal programmes. The paper describes two methods developed by Polish scientists used for removal of space debris. One of them is the new capture method and mechanism designed for it. The special mechanism is based on tubular boom application for opening the net, to capture the space debris. The main parts of the mechanism are mechanisms which have been used in the JUICE space mission. The paper describes the main idea for these new methods, and for the design part prepared the strength confirmation by structural analysis. The main function of the mechanism has been verified by simulations and tests performed in laboratories.