bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatiotemporal Expression and Control of Haemoglobin in Space
Authors: Borg Josef , Beheshti Afshin , Kim JangKeun , Damle Namita , Meydan Cem , Muratani Masafumi , Overbey Eliah , Ryon Krista , Zwart Sara , Smith Scott , Tierney Braden , Mason Christopher , Borg Joseph 
Published: June 2023

Abstract

The role of the space environment in activating a diverse set of genes involved in regulating key cellular pathways is now widely recognized. This includes genes associated with blood control and erythropoiesis, with a particular emphasis on those involved in globin chain production. The comprehensive investigation of haemoglobin biology provides an intriguing model for studying space omics, as it has been extensively explored at multiple -omic levels, spanning DNA, RNA, and protein analyses, in both experimental and clinical contexts. In this study, we examined the developmental expression of haemoglobin over time and space using a unique suite of multi-omic tools available on NASA GeneLab. We analyzed human data from the NASA Twins Study, the JAXA CFE study, and the Inspiration4 mission. Our findings reveal significant variations in globin gene expression corresponding to the distinct spatiotemporal characteristics of the collected samples. This study sheds light on the dynamic nature of globin gene regulation in response to the space environment and provides valuable insights into the broader implications of space omics research.
A Technique to Forecast Pakistan’s News using Deep Hybrid Learning Model
Authors: Ihsan Rukhshanda , Khurshid Syed Khaldoon , Shoaib Muhammad , Ali Sadia , Mahnoor Sana , Syed Muhammad Hamza 
Published: June 2023

Abstract

Forecasting future events is a challenging task that can have a significant impact on decision-making and policy-making. In this research, we focus on forecasting news related to Pakistan. Despite the importance of accurate predictions in this field, there currently exists no dataset for forecasting Pakistani news, specifically with regard to politics. In order to address this gap, our research aims to create the first Pakistani news dataset for forecasting Pakistan news that is mostly related to the politics of Pakistan. This dataset was collected from various sources, including Pakistani news websites and social media platforms, as well as frequently asked questions about Pakistani politics. We develop a forecasting model using this dataset and evaluate the effectiveness of cutting-edge deep hybrid learning techniques incorporating neural networks, random forest, Word2vec, NLP, and Naive Bayes. To the best of our understanding, no research has been done on the application of a deep hybrid learning model—a blend of deep learning and machine learning—for news forecasting. The accuracy of the forecasting model is 97%. According to our findings, the model's performance is adequate when compared to that of other forecasting models. Our research not only fills the gap in the current literature but also presents a new challenge for large language models and has the potential to bring significant practical advantages in the field of forecasting.
conn2res: A toolbox for connectome-based reservoir computing
Authors: Misic Bratislav , Suarez Laura , Mihalik Agoston , Milisav Filip , Marshall Kenji , Li Mingze , Vertes Petra , Lajoie Guillaume 
Published: June 2023

Abstract
The connection patterns of neural circuits form a complex network. How signaling in these circuits manifests as complex cognition and adaptive behaviour remains the central question in neuroscience. Concomitant advances in connectomics and artificial intelligence open fundamentally new opportunities to understand how connection patterns shape computational capacity in biological brain networks. Reservoir computing is a versatile paradigm that uses nonlinear dynamics of high-dimensional dynamical systems to perform computations and approximate cognitive functions. Here we present conn2res: an open-source Python toolbox for implementing biological neural networks as artificial neural networks. conn2res is modular, allowing arbitrary architectures and arbitrary dynamics to be imposed. The toolbox allows researchers to input connectomes reconstructed using multiple techniques, from tract tracing to noninvasive diffusion imaging, and to impose multiple dynamical systems, from simple spiking neurons to memristive dynamics. The versatility of the conn2res toolbox allows us to ask new questions at the confluence of neuroscience and artificial intelligence. By reconceptualizing function as computation, conn2res sets the stage for a more mechanistic understanding of structure-function relationships in brain networks.
Drug and natural health product data collection and curation in the Canadian Longitudinal Study on Aging (CLSA)
Authors: Cossette Benoit , Griffith Lauren , Emond Patrick D. , Mangin Dee , Moss Lorraine , Boyko Jennifer , Nicholson Kathryn , Ma Jinhui , Raina Parminder , Wolfson Christina , Kirkland Susan , Dolovich Lisa 
Published: June 2023

Abstract
Purpose
The mapping of drug and natural health product (NHP) data to standardized terminologies is central to its analysis. This study aimed to develop an efficient data collection and curation process for all drug and NHP used by Canadian Longitudinal Study on Aging (CLSA) participants.
Methods
The 3-step sequential data collection and curation process consisted of: 1) mapping drug inputs to the Health Canada Drug Product Database (DPD), 2) algorithm-recoding of unmapped drug and NHP inputs, and 3) manual recoding. A gold standard manually recoded input was established by two pharmacy technicians. The proportion of algorithm-correctly recoded inputs was calculated as the number of algorithm-correctly recoded inputs, based on the gold standard, divided by the number of algorithm-recoded inputs.
Results
Among the 30,097 CLSA Comprehensive cohort participants, 26,000 (86.4%) were using a drug or a NHP with a mean of 5.3 (SD 3.8) inputs per participant-user for a total of 137,366 inputs. Of those inputs, 70,177 (51.1%) were mapped to the Health Canada DPD, 20,729 (15.1%) were recoded by algorithms and 44,108 (32.1%) were manually recoded. In a validation sample (n = 1407 inputs), the Direct algorithm correctly classified 99.4% of drug and 99.5% of NHP inputs for which a gold standard could be established. In another validation sample of 329 manually recoded free-text inputs, consensus was reached by 2 recoders for 89.7% of drug and 74.8% of NHP inputs.
Conclusion
We developed an efficient 3-step process for drug and NHP data collection and curation for use in a longitudinal cohort.
Comparison of different models of optimal water distribution of canals
Authors: Zhang Xufeng , Fan Yu , Gao Zhanyi , Chen Haorui , Yang Mingming , Xu Jianhui , Zheng Xinrong , Kang Ye 
Published: June 2023

Abstract
The optimized water distribution model of canals refers to meeting the water demand of crops by reasonable water distribution flow rate and time. A reasonable water distribution model can shorten the irrigation duration, reduce the loss of canal water delivery, and improve the utilization rate of irrigation water. In this paper, five canals optimal water distribution models are selected respectively, which are irrigation from upstream to downstream (Irrigation model 1), irrigation from downstream to upstream (Irrigation model 2), continuous irrigation between groups and rotational irrigation within groups (Irrigation model 3), rotational irrigation between groups and continuous irrigation within groups (Irrigation model 4), optimal water distribution model of rotational irrigation (Irrigation model 5). These models were applied to the Fengqigou branch canal in the Bojili irrigation district. The advantages and disadvantages of each model are discussed and analyzed from five aspects: the total duration of water distribution, the play of canal engineering ability, the leakage loss of canal water delivery, the abandoned water volume, and the operability of irrigation managers. The results show that irrigation model 1 and irrigation model 2 are easy to manage and have small leakage losses for upper-level canal. Irrigation model 3 and irrigation model 4 have a short total irrigation duration and low water abandonment. Irrigation model 5 needs to optimize the idle time to improve the applicability of the model.
Morphologic Analysis of Facial Foramina in Three Facial Types: A Study on Dry Skulls and CT-Scans
Authors: Onashko Yuliia , Vovk Oleg , Pauza Dainius Haroldas , Shmarhalov Andrii , Malakhov Stanislav 
Published: June 2023

Abstract
Purpose
To estimate the morphometric characteristics of the facial foramina in three facial types according to the upper facial index.
Methods
The study was conducted on fifty-two dry adult human skulls and 60 computed tomography. Based on the upper facial index all samples were divided into Euryene, Mesene, and Leptene types of face. The distance between middle facial line (MFL) and supraorbital foramen/supraorbital notch (SOF/SON), infraorbital foramen (IOF), and mental foramen (MF) were measured in all types and overall. Indications of the distances between the collateral facial foramina were obtained. In addition, the distances between SOF/SON and IOF, IOF and MF were estimated. The standard statistical analysis was performed.
Results
In overall, the mean distance SOF/SON-MFL was 19.6 ± 2.4 mm, IOF-MFL 21.9 ± 2.5 mm, and MF-MFL 21.6 ± 2.1 mm. The average distance between the collateral supraorbital foramina was 44.2 ± 6.4 mm, between the infraorbital foramina 47.9 ± 4.2 mm, and 43.6 ± 2.5 mm between the mental foramina, respectively. The distances supraorbital foramen-infraorbital foramen and infraorbital foramen-mental foramen in the present study was found to be 41.5 ± 3.2 mm and 61.2 ± 4.9 mm, respectively.
Conclusion
The data obtained may be particularly helpful while performing surgical operations, local anaesthesia, or aesthetic procedures in the projection of facial foramina.
STAT4 -mediated Klotho upregulation contributes to the brain ischemic tolerance by cerebral ischemic preconditioning via inhibiting neuronal pyroptosis
Authors: Liu Xi-Yun , Zhang Ling-Yan , Wang Xiao-Yu , Li Shi-chao , Hu Yu-Yan , Zhang Jing-Ge , Xian Xiao-Hui , Li Wen-Bin , Zhang Min 
Published: June 2023

Abstract
Our previous study has proved that the Klotho up-regulation participated in cerebral ischemic preconditioning (CIP)-induced brain ischemic tolerance. However, the exact neuroprotective mechanism of Klotho in CIP remains unclear. We explored the hypothesis that STAT4-mediated Klotho upregulation contributes to the CIP-induced brain ischemic tolerance via inhibiting neuronal pyroptosis. Firstly, the expressions of pyroptosis-associated proteins (i.e., NLRP3, GSDMD, pro-caspase-1, and cleaved caspase-1) in hippocampal CA1 region were determined during the process of brain ischemic tolerance. We found the expression of pyroptosis-associated proteins was significantly up-regulated in the ischemic insult (II) group, and showed no significant changes in the CIP group. The expression level of each pyroptosis-associated proteins was lower in the CIP + II group than that in the II group. Inhibition of Klotho expression increased the expression of pyroptosis-associated proteins in the CIP + II group and blocked the CIP-induced brain ischemic tolerance. Injection of Klotho protein decreased the expression of pyroptosis-associated proteins in the II group, and protected neurons from ischemic injury. Secondly, the transcription factor STAT4 of Klotho was identified by bioinformatic analysis. Double luciferase reporter gene assay and chromatin immunoprecipitation assay showed STAT4 can bind to the site between nt − 881 and – 868 on the Klotho promoter region and positively regulates Klotho expression. Moreover, we found CIP significantly enhanced the expression of STAT4. Knockdown STAT4 suppressed Klotho upregulation after CIP and blocked the CIP-induced brain ischemic tolerance. Collectively, it can be concluded that STAT4-mediated upregulation of Klotho contributed to the brain ischemic tolerance induced by CIP via inhibiting pyroptosis.
Association of ACE and ACE2 genes elevate the risk of lung cancer
Authors: Bellah Sm Faysal , Islam Md. Robiul 
Published: June 2023

Abstract
Background:
ACE and ACE2 are biologically potential biomarkers responsible for the production and progression of lung cancer. Multiple factors and bioprocesses are associated with in tumorigenesis and metastasis of lung cancer, including cellular senescence and immune evasion. We aimed to analyzed the expression and association of ACE and ACE2 genes in lung cancer & Covid-19. We also aimed to identify prognostic and immune-meditating effects of ACE and ACE2 in lung cancer.
Subjects and methods:
Web-based bioinformatics tools were used to assess the association of ACE and ACE2 with lung cancer risks. The prognostic significance of mRNA expression of ACE and ACE2 in lung cancer were evaluated using the Kaplan–Meier plotter. Correlation analyses were performed to reveal the association among key factor, immune infiltration, T cell biomarkers and immune checkpoints. Univariate and multivariate Cox proportional hazards regression analysis were performed to determine whether ACE and ACE2 are an independent risk factor for overall survival (OS) and fast progression (FP) of lung cancer patients. Additionally, STRING database was used to analyze protein-protein interactions.
Result:
Our data confirmed that ACE is significantly expressed and associated with higher lung cancer risks where ACE2 role in developing lung cancer is controversial but in Covid-19. Moreover, high expression of ACE and ACE2 might predict poor OS and FP in lung cancer patients. Besides, disease stage and expression level of ACE and ACE2 were correlated with fast progression and overall survival in lung cancer. Both ACE and ACE2 were found highly co-expressed with different immune checkpoints. Analysis of protein-protein interaction based on STRING database gained top 10 genes which could interact with ACE (including, AGT, KNG1, REN, RHOA, RHOC, ATTR1, AGTR2, BDKRB2, MME and NR3C2) and ACE2 (including, SLC6A19, AGT, DPP4, REN, MME, PRCP, MEPIA, SLC1A7, TMPRSS2 and CLEC4M)
Conclusion:
Our results indicate that, aberrant expression of ACE in lung cancer is greater than ACE2 and might be involved in the pathogenesis of lung cancer risk whereas ACE2 in Covid-19.
Consolidated Foreign Wealth of Nations Nationality-based measures of international exposure
Authors: Pacheco André Sanchez 
Published: June 2023

Abstract
This paper presents novel estimates of foreign holdings from a consolidated-bynationality perspective for a sample of fourteen developed countries over multiple years. It describes the stylized facts that emerge from this new data-set on the international exposure of countries. It shows that aggregate international financial integration is larger from a nationality-based approach relative to the conventional residence-based data. These novel data are used to analyze (1) profit shifting activities and (2) spillovers from U.S. monetary policy shocks. I find evidence suggesting that nationals of relatively high-tax countries may shift assets to low-tax countries in ways not fully captured in residence-based statistics. I also find that a tightening in U.S. monetary policy is associated with a decline in consolidated-by-nationality foreign asset holdings by non-financial multinational enterprises. Such findings highlight the usefulness of this new data-set in international macroeconomics.
JEL: F36, F21, F23.
Anonymous provision of privacy-sensitive services using blockchain and decentralised storage
Authors: Barański Stanisław , Szymański Julian , Mora Higinio 
Published: June 2023

Abstract

Lawyers, laboratories, auditors or banks often need data containing sensitive personal information to provide their services. Examples of sensitive services include genetic testing, paternity testing, STD testing, credit scoring or legal advice.
The processing of personal data, especially when providing services involving sensitive data such as health records, biological material or legal documents, exposes both users and service providers (SPs) to privacy risks. SPs are at risk of violating GDPR, CPAA and other legal regulations, while customers are at risk of losing their privacy.
We observe that personal data is often only used for logistical purposes, such as payment or communication, and could be provided anonymously if such methods were available.
We present a solution that allows services to be provided without collecting personal data. We use anonymous payment methods such as cash and anonymous cryptocurrencies, blockchain to achieve fairness, and distributed content-addressable storage networks to deliver results.
Compared to other solutions, our protocol achieves anonymity with weaker assumptions, supports physical materials and conflict resolution, and does not require the customer to interact with the blockchain in conflict-free transactions, demonstrating better practicality.
In this work, we analyse the fairness of our protocol and implement it using Ethereum technology as a message board, Monero as an anonymous payment method, and Powergate (IPFS and Filecoin) as a decentralised storage network.
85 years of snowfall-driven ice sheet change in East Antarctica
Authors: Doemgaard Mads , Schomacker Anders , Isaksson Elisabeth , Millan Romain , Huiban Flora , Dehecq Amaury , Fleischer Amanda , Moholdt Geir , Andersen Jonas , Bjørk Anders 
Published: June 2023

Abstract
Large-scale observational time series of pre-satellite era glacier changes in Antarctica are rare. In order to determine if recent trends are independent of natural variability, long-term observations are vital. Here we rediscover and explore the earliest, large-scale, aerial image archive of Antarctica to provide a unique record of 21 outlet glaciers along the coastline of East Antarctica since the 1930s. We combine the imagery with more recent Australian aerial photographs (1956-1973) to provide historical glacier reconstructions through multiple epochs. The historical reconstructions are compared to modern satellite observations to study glacier elevation changes over 85 years, allowing us to distinguish long-term trends from shorter-term variability. The aerial images reveal two distinct regional patterns: In Lützow-Holm Bay, Dronning Maud Land, the ice elevations remained stable, however with a concurrent frontal retreat of all glaciers in the 1980s and indications of a weakening of the localized land-fast sea-ice conditions. Along the coastline of Kemp, Mac Robertson, and Ingrid Christensen Coast, we observe a general thickening of the glaciers. We find that the regional differences in observed ice thickness are consistent with the overall trends in snowfall since 1940. Additionally, our results demonstrate that the stability and growth observed in terrestrial basins over the past few decades are part of a longer-term trend spanning at least a century.
The genetic basis of divergent melanic pigmentation in benthic and limnetic threespine stickleback
Authors: Rennison Diana , Tapanes Elizabeth 
Published: June 2023

Abstract

Pigmentation is an excellent trait to examine patterns of evolutionary change because it is often under natural selection. The genetic architecture of pigmentation in vertebrates also appears to be complex. Yet, most work on pigmentation has focused on a few candidate genes in model species. Benthic-limnetic threespine stickleback (Gasterosteus aculeautus) exhibit distinct pigmentation phenotypes, likely an adaptation to occupation of divergent niches. Prior QTL mapping for threespine stickleback pigmentation phenotypes has identified several candidate loci. However—relative to other morphological phenotypes (e.g., spines or lateral plates)—the genetic architecture of threespine stickleback pigmentation remains understudied. Here, we performed QTL mapping for two melanic pigmentation traits (melanophore density and lateral barring) using benthic-limnetic F2 crosses. The two traits mapped to different chromosomes, suggesting a distinct genetic basis. The resulting QTLs were additive, but explained a relatively small fraction of the total variance (~6%). QTLs maps differed by F1 family, suggesting variation in genetic architecture or ability to detect loci of small effect. Functional analysis identified several enriched pathways for candidate loci. Several of the resulting candidate loci for pigmentation, including four loci in enriched pathways (bco1, pola1, sulf1, and tyms) have been previously indicated to affect pigmentation in other vertebrates. These findings add to a growing body of evidence suggesting pigmentation is often polygenic.
The awareness and factors influencing the prevention of diabetic foot ulcers (DFU) among diabetic patients: evidence from NHANES (2011–2018)
Authors: Wang Xingkai , Xu Mengying , Meng Lei , Song Mingzhi , Jia Zhuqiang , Zhao Lin , Han Xin , Lu Ming , Zong Junwei , Wang Shouyu 
Published: June 2023

Abstract
Background: The prevention of diabetic foot ulcers (DFU) precedes treatment, in that early prevention significantly reduces the incidence of foot ulcers. The main objectives of this study were to investigate the current status of proactive examination for foot ulcers in diabetic patients and to analyze the factors influencing them, in order to provide a scientific reference for the prevention of DFU in diabetic patients.
Methods: The National Health and Nutrition Examination Survey (NHANES) 2011-2018 (n=1278) data were utilized in this cross-sectional study. The dependent variable was the presence or absence of patient-initiated inspection of foot ulcers; risk factors that may lead to foot ulcers were included as independent variables. To explore the connection between the patient's subjective motivation to inspect foot ulcers and risk variables, the weighted logistic regression model was further carried out.
Results: Among all risk factors, race,body mass index (BMI) and hypertension were statistically significant between whether patients were examined for foot ulcers or not. In the fully adjusted logistic regression model, only hypertensionwas positively correlated with diabetic patient-initiated examination for foot ulcers.
Conclusions: This study suggests that there is still room for improvement in the knowledge and behavior of diabetic patients to be proactive in preventing DFU. Health care and community workers should conduct targeted training on diabetic foot prevention to reduce and prevent DFU by reinforcing knowledge to build positive attitudes and drive preventive behavior change.
Effect of oleoylethanolamide on systemic inflammation in the development of alimentary-induced obesity in mice
Authors: Ivashkevich Darya , Ponomarenko Arina , Manzhulo Igor , Sultanov Ruslan , Duizen Inessa 
Published: June 2023

Abstract
The anorexigenic effect of oleoylethanolamide (OEA, C20H39NO2) was studied in a model of diet-induced obesity in mice. Physiological, biochemical and immunohistochemical methods were used to reveal differences in the changes in the weight of experimental animals, morphological changes in the spleen tissues, as well as changes in the cytokine expression profile in the spleen, blood plasma and in macrophage cell culture. First, it has been shown that a hypercaloric diet high in carbohydrates and cholesterol leads to the development of systemic inflammation accompanied by organ morphological changes and increased production of proinflammatory cytokines. In parallel, the use of OEA reduces the intensity of cellular inflammatory reactions accompanied by a decrease in markers of cellular inflammation and proliferation, such as CD68, Iba-1 and Ki67 in the spleen tissue and stabilizes the level of proinflammatory cytokines (IL-1β, IL6, TNFα) both in animals and in cell culture. In addition, in macrophage cell culture (RAW264.7) it was shown that OEA also suppresses the production of reactive oxygen species and nitrites in LPS-induced inflammation. The results of this study indicate the complex action of OEA in obesity, which includes the reduction of systemic inflammation.