bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cell-Based, Cell-Cultured, Cell-Cultivated, Cultured, or Cultivated. What is the best name for meat, poultry, and seafood made directly from the cells of animals?
Authors: Hallman William , II William Hallman , Hallman Eileen 
Published: May 2023

Abstract
The terms “Cultured,” “Cultivated,” “Cell-Cultured,” “Cell-Cultivated,” “Cell-Based” and a control were tested using five criteria to determine the best common or usual name for meat, poultry, and seafood products made directly from the cells of animals. A nationally representative sample of 4385 American consumers (18+) participated in an online experiment. The names were shown on labels of packages of frozen Beef Filets, Beef Burgers, Chicken Breasts, Chicken Burgers, Atlantic Salmon Fillets, and Salmon Burgers. The terms were assessed on two key regulatory and three consumer acceptance criteria. “Cultured” and “Cultivated” failed to adequately differentiate the novel products from conventional “Wild-Caught and Farm-Raised” salmon products. “Cultivated” also failed to differentiate the novel Beef Filet product from “Grass-Fed” Beef Filets. “Cultured” and “Cultivated” also performed more poorly than the control (with no common or usual name tested) in signaling that the Chicken Burgers were “Neither Free-Range nor Raised Indoors.” “Cell-Cultured,” “Cell-Cultivated,” and “Cell-Based” each signaled to consumers that the products were different from their conventional counterparts, and signaled allergenicity, meeting the two key regulatory criteria. These three names were not significantly different on most of the measures of consumer perceptions. However, the overall pattern of results suggests that the term “Cell-Cultured” may have slightly better consumer acceptance across the novel beef, chicken, and salmon products. Overall, the participants were as interested in tasting and purchasing “Cell-Cultured” products, ordering them in a restaurant, and as likely to serve them to guests as they were the conventional products used as controls.
Assessment of MYC and TERT copy number variations in lung cancer using digital PCR
Authors: Brik Alexander , Wichert Katharina , Weber Daniel G , Szafranski Katja , Rozynek Peter , Meier Swetlana , Ko Yon-Dschun , Büttner Reinhard , Gerwert Klaus , Behrens Thomas , Brüning Thomas , Johnen Georg 
Published: May 2023

Abstract
Objective: Lung cancer is the second most frequent cancer type and the most common cause of cancer-related deaths worldwide. Alteration of gene copy numbers are associated with lung cancer and the determination of copy number variations (CNV) is appropriate for the discrimination between tumor and non-tumor tissue in lung cancer. As telomerase reverse transcriptase (TERT) and v-myc avian myelocytomatosis viral oncogene homolog (MYC) play a role in lung cancer the aims of this study were the verification of our recent results analyzingMYC CNV in tumor and non-tumor tissue of lung cancer patients using an independent study group and the assessment of TERT CNV as an additional marker.
Results: TERT and MYC status was analyzed using digital PCR (dPCR) in tumor and adjacent non-tumor tissue samples of 114 lung cancer patients. The difference between tumor and non-tumor samples were statistically significant (p<0.0001) for TERT and MYC. Using a predefined specificity of 99% a sensitivity of 41% and 51% was observed for TERT and MYC, respectively. For the combination of TERT and MYC the overall sensitivity increased to 60% at 99% specificity. We demonstrated that a combination of markers increases the performance in comparison to individual markers. Additionally, the determination of CNV using dPCR remains a reliable method for clinical practice.
Adaptive Ecological Knowledge among the Ndjuka maroons of French Guiana; A case study of two ‘invasive species’: Melaleuca quinquenervia and Acacia mangium
Authors: THEYS Johanna , Tareau Marc-Alexandre , ANSOE-TAREAU Clarisse , GREENE Alexander , PALISSE Marianne , RICARDOU Alizée , ODONNE Guillaume 
Published: May 2023

Abstract

Background:To understand how local ecological knowledge changes and adapts, here in the case of the recent introduction of plant species, we report the knowledge and perceptions of the Ndjuka (Maroon) of French Guiana concerning two tree species,Acacia mangiumandniaouli(Melaleuca quinquenervia), which are categorized as “invasive alien plants” in the savannas of their territory.Methods:To this end, semi-structured interviews were conducted between April and July 2022, using a pre-designed questionnaire, plant samples and photographs. The uses, local ecological knowledge, and representations of these species were surveyed among populations of Maroon origin in western French Guiana. All responses to closed questions collected during the field survey were compiled into an Excel spreadsheet in order to perform quantitative analyses, including the calculation of use reports (URs).Results:It appears that the local populations have integrated these two plant species, which are named, used and even traded, into their knowledge systems. On the other hand, neither foreignness nor invasiveness seem to be relevant concepts in the perspective of the informants. The usefulness of these plants is the determining factor of their integration into the Ndjuka medicinal flora, thus resulting in the adaptation of their local ecological knowledge.Conclusion:In addition to highlighting the need for the integration of the discourse of local stakeholders into the management of "invasive alien species”, this study also allows us to observe the forms of adaptation that are set in motion by the arrival of a new species, particularly within populations that are themselves the result of recent migrations. Our results furthermore indicate that such adaptations of local ecological knowledge can occur very quickly.
Cash for COVID-19 Vaccines in Africa: A Financial Incentives Trial in Rural Ghana
Authors: Duch Raymond , Asiedu Edward , Nakamura Ryota , Rouyard Thomas , Mayol Alberto , Barnett Adrian , Roope Laurence , Violato Mara , Kotlarz Piotr , Sowah Dorcas , Clarke Philip 
Published: May 2023

Abstract
We implemented a clustered randomized controlled trial with 7,227 residents in six rural Ghana Districts to determine whether financial incentives produce substantial increases in COVID-19 vaccine uptake. Villages were randomly assigned to receive one of four video treatment arms: a placebo, a standard health message, a high cash incentive ($10) and a low cash incentive ($3). Non-vaccinated subjects, assigned to the Cash incentive treatments had an average COVID-19 vaccine intention rate of 81% compared to the 71% for those in the Placebo treatment arm. Two months after the initial intervention the average self-reported vaccination rates for subjects in the Cash treatment were 3.5% higher than those for subjects in the Placebo treatment (95% CI: 0.001, 6.9; P < 0.03) - 40% versus 36.5%. We verified the vaccination status of subjects: in the Cash treatment arm, 36.6% of verified subjects had at least one dose of the COVID-19 vaccine compared to 30.3% for those in Placebo - a difference of 6.3% (95% CI: 2.4, 10.2; P < 0.0001). For all three outcomes, the low cash incentive ($3.00) had a larger positive effect on COVID-19 vaccine uptake than the high cash incentive ($10.00). There is no evidence of spillover effects of the financial incentives that depress the vaccine uptake of subjects in non-financial treatment arms nor of non-treated proximate residents.
Ultraposet, Distributive Lattice, and Coherent Locale
Authors: Ye Lingyuan 
Published: May 2023

Abstract
In this paper, we provide an alternative description of the duality result for distributive lattices and coherent locales using ultraposet. In particular, we show that there are fully faithful embeddings from the opposite of the category of distributive lattices into the category of ultraposets with ultrafunctors, and from the category of coherent locales into the category of ultraposets with left ultrafunctors. We also define the notion of zero-dimensional ultraposets, which characterises the essential image of these embeddings.
GUM-S1 to evaluate rotational inertia uncertainty obtained by Acceleration-Deceleration tests
Authors: Santana Raphael Ugolini , Reis Sergio Fernandes da Silva , de Morais Marcus Vinicius Girão , Diniz Alberto Carlos Guimarães de Castro 
Published: May 2023

Abstract

This work has the goal of experimentally determining the rotational moment of inertia of a wind turbine rotor blade and quantifying the uncertainty of this inertia measurement. Rotational inertia is an important parameter for modelling wind turbine power capacity due to its great influence on powertrain performance. There is a directly proportional relationship between the inertia and rotational power machines. Among commonly used experimental methods, the acceleration-deceleration method was conducted for rotational moment of inertia measurement of a commercial HAWT (Horizontal-Axis Wind Turbines) iSTA Breeze® i-500 model. As recommended by GUM Supplement 1, the Monte Carlo method was used to estimate the measurement uncertainty related to wind turbine rotational inertia. Experimental acceleration-deceleration tests were performed using the motion capture software Tracker to collect angular position data by video capturing the rotational motion of a wind turbine attached to a falling mass, which is rolled to the rotor axis. After appropriate data processing, the experimental uncertainty measure was obtained by the Monte Carlo method. A statistical analysis was implemented to validate the measurement model via comparisons with other methods.
Down-regulated ATF3 Promotes Renal Clear Cell Carcinoma Progression Through PAXIP1-AS2 and OIP5-AS1/ hsa-miR-221-3p/ATF3 Axis Regulation of Endoplasmic Reticulum Stress
Authors: Yang Zhicong , Hou Yongwang , Li Jingqi , Xu Dandan , Yang Zhichao , Wang Xinsheng 
Published: May 2023

Abstract
Clear cell renal cell carcinoma (ccRCC) is the most invasive type with high metastasis risk and high recurrence rate in renal cell carcinoma and there is a pressing need to explore novel prognostic predictors and therapeutic targets for ccRCC. Activating transcription factor 3 (ATF3), an oncogene or a suppressor for tumor, has been poorly reported in ccRCC. Here, we comprehensively clarified the prognostic value and potential function of ATF3 in ccRCC. By analyzing ATF3 in ccRCC several TCGA-based online databases, we found that ATF3 expression is decreased in ccRCC and indicate that ATF3 is significantly associated with the prognosis of ccRCC patients. hsa-miR-221-3p might be the most potential regulatory miRNA of ATF3 in ccRCC. Prediction and analysis of upstream lncRNAs showed PAXIP1-AS2 and OIP5-AS1 might be the most potential upstream lncRNAs of hsa-miR-221-3p/ATF3 axis in ccRCC. GO and KEGG results implied that ATF3 is involved in the regulation of apoptotic signaling pathway in response to endoplasmic reticulum (ER) stress in ccRCC. Correlation analysis showed a positive correlation between ATF3 and ER stress. According to present study, down-regulated ATF3 promotes renal clear cell carcinoma progression through PAXIP1-AS2 and OIP5-AS1/ hsa-miR-221-3p/ATF3 axis regulation of endoplasmic reticulum stress.
SLf-UNet: Improved UNet for Brain MRI Segmentation by Combining Spatial and Low-Frequency Domain Features
Authors: Ding Hui , Lu JiaCheng , Cai JunWei , Zhang YaWei 
Published: May 2023

Abstract
Deep learning-based methods have shown remarkable performance in brain tumor image segmentation. However, there is a lack of research on segmenting brain tumor lesions using frequency domain features of images. To address this gap, an improved network SLf-UNet has been proposed in this paper, which is a two-dimensional encoder-decoder architecture combining spatial and low-frequency domain features based on U-Net. The proposed model effectively learns information from spatial and frequency domains. Herein, we present a novel upsample approach by using zero padding in the high-frequency region and replacing the part of the convolution operation with a convolution block combining spatial frequency domain features. Our experimental results demonstrate that our method outperforms current mainstream approaches on BraTS 2019 and BraTS2020 datasets.
Investigating the Association Between Serum ADAM/ADAMTS levels and Bone Mineral Density by Mendelian Randomization Study
Authors: Lv Xin , Lin Yuhong , Zhang Zhilei , Li Bo , Zeng Ziliang , Jiang Xu , Zhao Qiancheng , Li Wenpeng , Wang Zheyu , Yang Canchun , Yan Haolin , Wang Qiwei , Huang Renyuan , Hu Xumin , Gao Liangbin 
Published: May 2023

Abstract
Purpose A Disintegrin and Metalloproteinase (ADAM) and A Disintegrin and Metalloproteinase with Thrombospondin Motif (ADAMTS) have been reported potentially involved in bone metabolism and related to bone mineral density. This Mendelian Randomization (MR) analysis was performed to determine whether there are causal associations of serum ADAM/ADAMTS with BMD in rid of confounders.Methods The genome-wide summary statistics of four site-specific BMD measurements were obtained from studies in individuals of European ancestry, including forearm (n = 8,143), femoral neck (n = 32,735), lumbar spine (n = 28,498) and heel (n = 426,824). The genetic instrumental variables for circulating levels of ADAM12, ADAM19, ADAM23, ADAMTS5 and ADAMTS6 were retrieved from the latest genome-wide association study of European ancestry (n = 5336 ~ 5367). The estimated causal effect was given by the Wald ratio for each variant, the inverse-variance weighted model was used as the primary approach to combine estimates from multiple instruments, and sensitivity analyses were conducted to assess the robustness of MR results. The Bonferroni-corrected significance was set at P < 0.0025 to account for multiple testing, and a lenient threshold P < 0.05 was considered to suggest a causal relationship.Results The causal effects of genetically predicted serum ADAM/ADAMTS levels on BMD measurements at forearm, femoral neck and lumbar spine were not statistically supported by MR analyses. Although causal effect of ADAMTS5 on heel BMD given by the primary MR analysis (β = -0.006, -0.010 to 0.002, P = 0.004) failed to reach Bonferroni-corrected significance, additional MR approaches and sensitivity analyses indicated a robust causal relationship.Conclusion Our study provided a suggestive evidence for the causal effect of higher serum levels of ADAMTS5 on decreased heel BMD, while there was no supportive evidence for the associations of ADAM12, ADAM19, ADAM23, and ADAMTS6 with BMD at forearm, femoral neck and lumbar spine in Europeans.
Genetic association of risk behaviours and educational attainment
Authors: Spano Michelle Arellano , Morris Tim , Davies Neil , Hughes Amanda 
Published: May 2023

Abstract
Risk behaviours such as alcohol use, smoking, and physical inactivity are common in adolescence and persist into adulthood. People who engage in more risk behaviour are more likely to have lower educational attainment. Genome-wide association studies show that participation in risk behaviours and level of education are both heritable and have a highly polygenic architecture, suggesting an important role of many variants across the genome. The extent to which risk behaviours and educational attainment have shared genetic overlap is unknown, yet knowledge of this could help understand how these traits co-occur and influence each other. In the ALSPAC cohort, we used genome-based restricted maximum likelihood (GREML) to estimate the genetic covariance between risk behaviours and educational achievement. We found a strong genetic component of educational achievement and a modest genetic component of the risk behaviours. Whereby children who have a higher genetic liability for education also have a lower genetic liability for risky behaviours.
Large language models improve annotation of viral proteins
Authors: Kelly Libusha , Flamholz Zachary , Biller Steven 
Published: May 2023

Abstract
Viral sequences are poorly annotated in environmental samples, a major roadblock to understanding how viruses influence microbial community structure. Current annotation approaches rely on alignment-based sequence homology methods, which are limited by available viral sequences and sequence divergence in viral proteins. Here, we show that protein language model representations capture viral protein function beyond the limits of remote sequence homology by targeting two axes of viral sequence annotation: systematic labeling of protein families and function identification for biologic discovery. Protein language model representations capture protein functional properties specific to viruses and expand the annotated fraction of ocean virome viral protein sequences by 37%. Among unannotated viral protein families, we identify a novel DNA editing protein family that defines a new mobile element in marine picocyanobacteria. Protein language models thus significantly enhance remote homology detection of viral proteins and can be utilized to enable new biological discovery across diverse functional categories.
Two-Stages Poly Urethane Column for the Removal of Lead from Industrial Rejection Water
Authors: Zareh Mohsen , Abdel-Tawwab Mohsen , Metwally Nancy 
Published: May 2023

Abstract

Two-stages poly urethane foam (PU) was applied for removal of lead from industrial rejection water. The foam was packed into a column for easier use. The effect of different factors such as the weight of the foam, the contact time, the pH factor and the presence of other salts were studied. Results clear that the lead removal percent (LRP) was the best at pH 5, 105 minutes, for 4g PU/0.01 moles lead. The highest lead removal percentage (LRP) value reached 88% after the first stage and 98.6% after the second stage. The foam was used for Pb removal from real sample of industrial waste water. The LRP range was 62.1- 88.2% for the tested samples after the first stage and 85.6-98.6% after the second stage.
Novel agonists of benzodiazepine receptors: Design, synthesis, binding assay and pharmacological evaluation of diphenyl-1,2,4-triazole derivatives
Authors: Fasihi Hossein , Rezaee Elham , Mehranfar Mahsa , Safari Mojdeh , Bajestani Motahareh Sabbagh , Shahhosseini Soraya , Khoramjouy Mona , Faizi Mehrdad , Tabatabai Sayyed Abbas 
Published: May 2023

Abstract
Benzodiazepines (BZD) are widely used in neurological disorders. The use of classical benzodiazepines is limited due to side effects. In this study, based on the structure-activity relationship (SAR) of Benzodiazepine receptors, new derivatives of 4-amino-3,5-diphenyl-1,2,4-triazole as benzodiazepine agonists with selective effects were designed and synthesized. Docking studies showed that pharmacophore groups of the designed structures and zolpidem, a benzodiazepine receptor agonist, are properly matched and are located well in the GABA receptor. The triazole group of the compound 4j, N N-(3,5-diphenyl-4H-1,2,4-triazol-4-yl)-2-((4-fluorobenzyl)amino)acetamide, was near the nitrogen moiety of the imidazole ring of zolpidem providing the hydrogen bond acceptor in the suitable direction in the BDZ-binding site of GABAA receptor model (α1β2ϒ2). The compounds were synthesized with acceptable yield and in-vitro affinity for the BZD receptor was determined. Compound 4j had the best affinity for the BZD site of action on GABAA receptor complex (Ki = 2.56 nM and IC50 = 6.10 nM). In addition, the sedative-hypnotic effect, the locomotor activity, and evaluated memory of the novel compounds were assessed by pentobarbital-induced sleeping, open field, and passive avoidance tests respectively. Most of the novel compounds showed significant hypnotic activity with no impairment on learning and memory performance in the mouse. The pharmacological effects of the compounds were antagonized by flumazenil, a BZD antagonist, which confirms the involvement of BZD receptors in the biological effects.
Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments
Authors: Li Junchao , Cai Mingyu , Kan Zhen , Xiao Shaoping 
Published: May 2023

Abstract
Motion planning of autonomous agents in partially known environments with incomplete information is a challenging problem, particularly for complex tasks. This paper proposes a model-free reinforcement learning approach to address this problem. We formulate motion planning as a probabilistic-labeled partially observable Markov decision process (PL-POMDP) problem and use linear temporal logic (LTL) to express the complex task. The LTL formula is then converted to a limit-deterministic generalized Büchi automaton (LDGBA). The problem is redefined as finding an optimal policy on the product of PL-POMDP with LDGBA based on model-checking techniques to satisfy the complex task. We implement deep Q learning with long short-term memory (LSTM) to process the observation history and task recognition. Our contributions include the proposed method, the utilization of LTL and LDGBA, and the LSTM-enhanced deep Q learning. We demonstrate the applicability of the proposed method by conducting simulations in various environments, including grid worlds, a virtual office, and a multi-agent warehouse. The simulation results demonstrate that our proposed method effectively addresses environment, action, and observation uncertainties. This indicates its potential for real-world applications, including the control of unmanned aerial vehicles (UAVs).
Proteomics reveals ribosome associated proteins as potential biomarkers of Alzheimer's disease
Authors: Feng Lina , Cui Jie , Sun Jingyi , Shi Qiang , Xia Ling , Fu Xiaoyan , Hou Yajun , Li Mingquan , Fan Cundong , Sun Baoliang 
Published: May 2023

Abstract
Accumulated evidences confirmed that amyloid-β (Aβ) deposition, tau phosphorylation, acetylcholine decrease, etc, all contributed to the pathogenesis of Alzheimer's disease (AD). However, the underlying mechanism remains unclear, and novel AD biomarkers are urgently needed to be discovered. Herein, APP/PS1 double transgenic mice (AD mice) were employed, and the differentially expressed (DE) proteins of mice hippocampus were identified and analyzed by 4D label Free quantitative proteomics technology and parallel reaction monitoring (PRM). The results indicated that the hippocampus of AD mice showed significant Aβ deposition. Compared to that of wild type mice, 29 proteins were up-regulated and 25 proteins were down-regulated in the AD mice group. Gene Ontology (GO) enrichment analysis of BP showed that DE proteins were mainly enriched in Ribosomal large subunit biogenesis. MF results showed that DE proteins were mainly enriched in 5.8S rRNA binding and Structural constituent of ribosome. CC results showed that DE proteins were mainly enriched in Polysomal ribosome, Cytosolic large ribosomal subunit, Cytosolic ribosome, Large ribosomal subunit, etc. KEGG results showed that DE proteins were mainly enriched in the Ribosome signaling pathway. The main target proteins were Rpl18, Rpl17, Rpl19, Rpl24, Rpl35, and Rpl6, which all showed significant differentially expression compared with the wild type mice. The PRM verification results were consistent with the results of 4D Label-free quantitative proteomics. Taken together, our findings revealed that Rpl18, Rpl17, Rpl19, Rpl24, Rpl35 and Rpl6 as AD biomarkers may be the potential targets for drugs design.