bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of m6A regulator-mediated RNA methylation modification patterns and immune infiltration characterization in schizophrenia
Authors: li mengdie , Wang Ping , Zhang Yan , Yang Yating , Zhang Ling , Zhang Kai , Bao Tianhao , Liu Huanzhong 
Published: March 2023

Abstract
Background: Epigenetic modification has provided novel insight for understanding the complex mechanism of psychiatric disorders. However, how m6A RNA methylation modification played a role in schizophrenia (SCZ) remains poorly understood. The aim of this study was to investigate the role of m6A modification and their relationship with the immune infiltration characteristics of SCZ.
Methods: We searched the Gene Expression Omnibus (GEO) database. Finally, 391 postmortem brains of SCZ were used to assess the differential expression level of m6A methylation regulators between SCZ and controls. The relative expression abundance of immune cells and immune functions was examined by Single-Sample Gene Set Enrichment Analysis (ssGSEA).
Results: We found significant differences in the expression levels of m6A regulators between SCZ and controls. Logistic-LASSO regression analysis identified the 6 key m6A regulators, and the risk scores could well distinguish SCZ and controls. There were significant differences in immune cells and immune functions. We identified 4 potential m6A methylation modification key genes of SCZ.
Conclusion: Our study demonstrated that m6A regulators and immune infiltration characteristics might play an important role in the pathogenesis of SCZ. However, we need more clinical evidence to validate these found.
A review of economic studies evaluating the treatment of ventilator associated pneumonia
Authors: Miranda Tatiane , Silva Ligiane , Simões Marcia 
Published: March 2023

Abstract
Background: The clinical definition of Ventilator Associated Pneumonia (VAP) is infection arising during intubation. The topic has attracted considerable interest as a subject of clinical efficacy research. Cost is an important factor when we consider similar options of antibiotic treatments. This study aims to review pharmacoeconomic evaluations made of different VAP treatments and summarize the evaluation methods utilized.
Methods: A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA). The search strategy was created considering the “PICOS” question, and data was sourced from PubMed, LILACS, Web of Science and Scopus databases, on October 2022. Inclusion and exclusion criterials were applied to filter the results.
Findings: The search resulted in 574 studies, of which 12 were used. Of these, four studies evaluated empirical therapy. Antibiotic analysis was performed in eight case studies of Gram-negative infections and four of Gram-positive spectrum. The most prevalent analysis mode was Cost-effectiveness. Cost-minimization, Cost-benefit and general costs comparison were also seen. Different modellings were applied when performing the pharmacoeconomic analysis, such as Tree decision, Markov cohort, as well as methodologies like discrete event micro simulation and sequential simulation. Monte Carlo simulation was then used in five studies to analyze model sensitivity. The Linezolid treatment was shown to be more cost-effective than vancomycin in MRSA pneumonia. Doripinem also showed similar behavior when compared to imipinem in all included studies. Ceftazidime-avibactam and ceftalozane-tazobactam presented an advantage in cost-effectiveness when compared with meropenem. Clarithromycin and ceftriaxone+sulbactam+disodiumedetate used in adjuvant treatments, promoted reduction of the costs in patients with A. baumannii. Meropenem-varbobactam was also found to be a cost-effective treatment option when compared with standard therapies used in patients with CRE-KPC infections.
Conclusion: Even though many models were used in pharmacoeconomic evaluations for VAP, Cost-effectiveness was clearly the most prevalent one. In short, the studies showed an advantage when using new medications. Nonetheless, we must be cautious when interpreting such findings, since they reflect a different reality for each country. Long-term impact and resource availability should also be considered.
Spatial accessibility of continuous maternal and perinatal healthcare services in Mozambique
Authors: Li Qin , Kanduma Elsa , Ramiro Isaías , Xu Dong , Marlene Rosa , Chaquisse Eusebio , Yang Yili , Wang Xiuli , Pan Jay 
Published: March 2023

Abstract
Maternal and perinatal healthcare remain insufficient in impoverished regions such as sub-Saharan Africa (SSA), and removing geographic barriers to access continuous maternal and perinatal healthcare services (CMPHS) has been addressed as a critical strategy. Based on the framework of maternal, neonatal, and child health (MNCH) proposed by WHO, access to CMPHS in Mozambique was assessed as the integration of three independent service packages, namely antenatal care (ANC), institutional delivery (ID), and postnatal care (PNC). We perform a spatial overlap analysis to identify eight types of multi-level healthcare access zones and reveal the geographic barriers for women of reproductive age (WoRA) reaching CMPHS. We find that access to reaching ANC, ID, and PNC varied significantly, with access to ANC being the best and PNC being the worst. More than 51% of the WoRA were not able to access any service package as part of CMPHS, while only about 21% could access CMPHS in a timely manner. Similar research should be carried out in SSA countries to identify resource shortage area and successful experiences should be learned to broad CMPHS coverage with particular focus.
In silico evaluation of anti SARS-CoV-2 antibodies neutralization power: A blueprint with monoclonal antibody Sotrovimab
Authors: Ashoor Dana , Marzouq Maryam , Fathallah M-Dahmani 
Published: March 2023

Abstract
Immune escape caused by genetic variations of SARS-CoV-2 S protein immunogenic epitopes affects the efficiency of monoclonal antibody-based therapy of COVID-19. Therefore, predicting the effects of these variations on immune escape is important to adapt rapidly anti SARS-CoV-2 Mab therapy. We herein describe a computational method to evaluate the neutralizing power a monoclonal antibody specific of a given SARS-CoV-2 variant and to compare it to its potential neutralizing power of others and emergent variants. The method’s calls for building in silico complex between the spike protein of a SARS-CoV-2 variant and a neutralizing antibody, analyzing the molecular interactions pattern and calculating the binding energy. This data is assigned a neutralizing value of 100% to which can be compared the neutralization value of any SARS-CoV-2 variant determined after molecular replacement in the complex of the RBD sequence with the RBD of this variant. Application of this method to the class 3 neutralizing antibody Sotrovimab and 24 variants and subvariants showed that the affinity binding and neutralizing power, decreased gradually with new variants. This method is of interest to adapt the use of therapeutic antibodies to the treatment of emerging variants. It could be applied to antibody-based treatment of other viral infections.
MaGNIFIES: Manageable GAN Image Augmentation Framework for Inspection of Electronic Systems
Authors: Ghosh Pallabi , Lee Gijung , Zhu Mengdi , Dizon-Paradis Olivia P. , Botero Ulbert J. , Woodard Damon L. , Forte Domenic 
Published: March 2023

Abstract
Electronic counterfeiting is a long-lasting problem that continues to cost original manufacturers billions, fund organized crime, and jeopardize national security and mission-critical infrastructures. Manual inspection is a popular and standardized way to detect counterfeit electronic components but, it is time-consuming and requires subject matter experts for classification. State-of-the-art machine learning, deep learning, and computer vision-based physical inspection methods are promising to alleviate these issues. However, the main bottleneck for doing so is a lack of high-quality, publicly available counterfeit image data for training. Producing such datasets is also time-consuming and often requires expensive equipment. In addition, most test labs are not allowed to freely publish images taken from their customer's chips. One solution to this data shortage bottleneck can be addressed by augmenting synthetic data. In this paper, (i) data multiplication using Progressive GAN, StyleGAN and classical methods in counterfeit data domain are explored (ii) a novel framework, named MaGNIFIES, is proposed and (iii) an efficient Convolutional Neural Network architecture is proposed, that can detect defective parts by training only on the synthetic dataset generated using (i) or (ii). For proof of concept, we have used low-quality images of resistors and capacitors with and without scratch defects as counterfeit and golden components respectively. We have also illustrated how our approach using MaGNIFIES addresses the shortcomings of the existing augmentation methods. Separate data augmentation detection models are trained with each type of augmented data generated using MaGNIFIES as well as existing techniques and tested on a test set of real data.
Item distribution, internal consistency and structural validity of the German language Person-centred climate questionnaire - Staff version (PCQ-G-S): a cross-sectional study
Authors: WILFLING Denise , MÖHLER Ralph , BERG Almuth , Dörner Jonas , BARTMANN Natascha , KLATT Thomas , MEYER Gabriele , HALEK Margareta , KÖPKE Sascha , DICHTER Martin N. 
Published: March 2023

Abstract
Background
Person-centredness is considered as best practice for people with dementia. A frequently used instrument to assess person-centredness of a care environment is the Person-centred Climate Questionnaire (PCQ). The questionnaire comprises of 14 items with the three subscales a climate of safety, a climate of everydayness and a climate of community.
Aim
The aim of the study is to describe the translation process of the English language Person-centred Climate Questionnaire (Staff version, Patient version, Family version) into German language (PCQ-G) and to evaluate the first psychometric properties of the German language Person-centred Climate Questionnaire– Staff version (PCQ-G-S).
Methods
We conducted a cross-sectional study. The three versions of the 14-item English PCQ were translated into German language (PCQ-G) based on the recommendations for cross-cultural adaption of measures. Item distribution, internal consistency and structural validity of the questionnaire were assessed among nursing home staff (PCQ-G-S). Item distribution was calculated using descriptive statistics. Structural validity was tested using principal component analysis (PCA), and internal consistency was assessed for the resulting subscales using Cronbach’s alpha. Data collection took place from May to September 2021.
Results
A total sample of 120 nurses was included in the data analysis. Nine out of 14 items of the PCQ-G-S demonstrated acceptable item difficulty, while five times showed a ceiling effect. The PCA analysis demonstrated a strong structural validity for a three-factor solution explaining 68.6% of the total variance. The three subscales demonstrated a strong internal consistency with Cronbach’s alpha scores of 0.8 for each of the subscales.
Conclusion
The analysis of the 14-item German version (PCQ-G-S) showed first evidence for a strong internal consistency and structural validity for evaluating staff perceptions of the person-centredness in German nursing homes. Based on this, further investigations for scale validity of the PCQ-G versions should be carried out.
MetaInvert: A new soil invertebrate genome resource provides insights into below-ground biodiversity and evolution
Authors: Collins Gemma , Schneider Clément , Boštjančić Ljudevit Luka , Burkhardt Ulrich , Christian Axel , Decker Peter , Ebersberger Ingo , Hohberg Karin , Lecompte Odile , Merges Dominik , Muelbaier Hannah , Romahn Juliane , Römbke Jörg , Rutz Christelle , Schmelz Rüdiger , Schmidt Alexandra , Theissinger Kathrin , Veres Robert , Lehmitz Ricarda , Pfenninger Markus Markus , Balint Miklos 
Published: March 2023

Abstract
Soil invertebrates are among the least understood metazoans on Earth. Thus far, the lack of taxonomically broad and dense genomic resources has made it hard to thoroughly investigate their evolution and ecology. With MetaInvert we provide draft genome assemblies for 232 soil invertebrate species, representing 14 common groups and 94 families. We show that this data substantially extends the taxonomic scope of DNA- or RNA-based taxonomic identification. Moreover, we demonstrate that theories of genome evolution cannot be generalised across evolutionarily distinct invertebrate groups. The soil invertebrate genomes presented here will support the management of soil biodiversity through molecular monitoring of community composition and function, and the discovery of evolutionary adaptations to the challenges of soil conditions.
Does fertility affect growth? Evidence and simulation results from alternative quantile regression estimators
Authors: Marques André M. 
Published: March 2023

Abstract
While the effect of various factors on fertility choice has been intensively studied, few studies identify declining fertility's impact on subsequent growth. We employ instrumental variables derived from spatial interactions across 5564 cities to identify the heterogeneous effects of declining fertility on subsequent economic growth in Brazil's city-level data. The gain by reducing one birth may translate to a cumulative growth increase of 0.5 percentage points in places where the pace of economic development is low. On the median, the extent of the estimate suggests that a unity decrease in the total fertility rate might lead to an increase in cumulative growth of 0.25 percentage points in the following ten years. The simulation results, designed for two-stage quantile regression estimators, indicate the sample sizes for which the asymptotic properties tend to hold and show that the convolution-smoothed approach with the triangular kernel performs better in finite samples in most scenarios.
Exploring the Diversity of Phytophthora spp. and the role Phytophthora multivora in Cork and Holm Oak coastal forests in Italy
Authors: Aurangzeb Wajid , Guidoni Leonardo , Morales-Rodriguez Carmen Morales , Cecca Daniele , Vannini Andrea 
Published: March 2023

Abstract
Phytophthora cinnamomi and Phytophthora multivora are considered important forest pathogens in different areas of the world. However, while P. cinnamomi presence and impact are widely reported, little is known about the presence of Phytophthora multivora in the Mediterranean evergreen oak forests and its possible role in their decline syndrome. The present study was conducted to identify the presence of P. cinnamomi, P. multivora, and other Phytophthora species in the Castelporziano Presidential Estate in Italy using classical (baiting) and metabarcoding (HTS). A total of 52 rhizosphere soil samples were collected from declining oak stands, from which 254 isolates of oomycetes taxa were obtained among which Phytophthora cinnamomi, P. multivora, P. plurivora, P. gonapodyides, and P. bilorbang were identified based on morphological traits and barcoding. The results of HTS analysis revealed the presence in the rhizosphere of 20 different Phytophthora spp. including all the taxa obtained through baiting. Interestingly, the Phytophthora soilborne community did not differ among tree hosts. Phytophthora cinnamomi was the most common species in the investigated site. The aggressiveness of P. multivora to holm and cork oak was evaluated on 3 months old seedlings using soil infestation and keeping P. cinnamomi as the positive control. Soil inoculation test demonstrated the aggressiveness of P. multivora on both holm oak and cork oak. Phytophthora multivora resulted by far less aggressive than P. cinnamomic. Holm oak resulted the most sensitive host to both pathogens. While P. multivora seems to play a relevant role in the decline of forest and urban ecosystems in Australia, its role in evergreen oak decline seems to be limited at the moment. However, in consideration of its sensible activity as a fine root feeder and adaptation to dry environments, its role in holm and cork oak decline could become relevant in the medium-term specifically in association with climate changes.
Isolation, characterization and evaluation of putative new bacteriophage species to control bacterial spot on tomato in Brazil
Authors: de Sousa Dayane Maria , Janssen Luis , Rosa Raphael Barboza , Belmock Aline , Yamada Jaqueline Kiyomi , Corrêa Roberto Franco Teixeira , Andrade Miguel de Souza , Inoue-Nagata Alice Kazuko , Ribeiro Bergmann Morais , Pontes Nadson de Carvalho 
Published: March 2023

Abstract
Bacterial spot is a highly damaging tomato disease caused by several species of the genus Xanthomonas. Bacteriophages have been studied for their potential use as a biological control method for bacterial diseases. Parte superior do formulário In the present study, bacteriophages were obtained from soil and tomato leaves in commercial fields in Brazil with the aim of obtaining biological control agents against bacterial spot. Phage isolation was carried out through co-cultivation with isolates of Xanthomonas euvesicatoria pv. perforans (Xp), which was prevalent in the collected areas. In the host range evaluation, no phage was able to induce a lytic cycle in all bacterial isolates. Then, in the in vivo tests, when Xpisolates were sensitive to the used phages, we observed that the prior application of phage suspension led to a reduction in the severity of the disease. The disease control level provided by phage application was equal to or greater than that obtained by the use of copper hydroxide. Electron microscopy analysis showed that all phages had similar morphology, with head-tails structure, similar to those viruses of the order Caudovirales. The observed short, non-contractile tubular tails strongly indicated that phages belong to the family Autographiviridae. Phylogenetic analysis confirmed it, and revealed that the phages belong to the genus Pradovirus. The phages are closely related to each other and potentially belong a new species of the genus. These phages will be evaluated in future studies against other tomato Xanthomonads strains to assess their potential as biological control agents.
Annular gas-assisted water jet guided laser manufacturing groove structure of Inconel 718 alloy
Authors: Zhao Chuang , Zhao Yugang , Zhao Dandan , Meng Shuo , Zhang Guiguan , Cao Chen , Zhang Haiyun , Meng Jianbing 
Published: March 2023

Abstract
Inconel 718 offers high oxidation resistance, mechanical strength, and heat resistance, which enables turbofan engines to maintain excellent performance in an operating environment of 1000°C. These properties make Inconel 718 difficult to machine by conventional machining techniques. Water jet guided laser (WJGL) is a composite processing technology that combines water cooling and laser processing technology. Therefore, it is advantageous and promising in processing Inconel 718. However, the water layer on the substrate surface in processing limits WJGL 's ability to ablate the metal, which leads to burrs formed when manufacturing groove structures. Therefore, a new method for manufacturing groove structure on Inconel 718 by Annular gas-assisted water jet guided laser (AGAWJGL) is proposed in this paper. This method reduces burrs and improves material removal efficiency by removing the water layer from the substrate surface with the gas-assisted. Then, groove processing experiment are performed on Inconel 718 alloy sheets with thickness of 1 mm. The experimental results show that the average size of burrs reduces 36%, and the depth of grooves increases 13%. These provide the theoretical foundation for the WJGL machining of Inconel 718.
Identifying the Relationship between Environmental Degradation and Economic Growth: A Focus on the Environmental Impacts of Rice Cultivation in the Top Ten Rice-Producing Countries
Authors: Ul-Haq Jabbar , Visas Hubert , Cheema Ahmed Raza , Aslam Noreen , Saboori Behnaz 
Published: March 2023

Abstract
In this study, the environmental Kuznets curve (EKC) was tested for the first time in the agriculture sector of ten rice-producing countries namely China, India, Indonesia, Bangladesh, Vietnam, Thailand, Myanmar, Japan, the Philippines, and Brazil, using panel data from 1995 to 2018. Once the EKC was tested at the aggregate level, the results were compared with those of the model disaggregated by the agriculture sector. We examined the relationship between environmental degradation (i.e., PM2.5, PM10, and CH4 emitted during rice cultivation processes) and economic growth, as well as agricultural growth, alongside other explanatory variables. Employing panel econometrics techniques, there is evidence of the EKC with an inverted U-shaped at both aggregate and disaggregate models. Including additional environmental explanatory variables such as urbanization, population density, and financial development, our results are robust and significant. The validity of the inverted U-shaped EKC suggests that compact environmental legislation, efficient energy use, and green technologies can reduce emissions as the economy and agriculture sectors expand
Plant fibre diagnosis: refining analytical approaches using blind testing
Authors: Waudby Denis , Thompson Jill , Evans Adrian 
Published: March 2023

Abstract
A range of plant fibres was used in prehistoric Europe for cordage, woven textiles and string. The analysis of degraded archaeological specimens to determine which types were being used is often challenging, partly due to uncertainties around the reliability of identification techniques. Here, two established diagnostic approaches are standardised, quantified, and blind tested in terms of their combined ability to separate reference material from nettle (Urtica dioica L.), flax (Linum usitatissimum L.) and hemp (Cannabis sativa L.). These approaches are longitudinal microfibrillar angle (MFA) and cross-sectional circularity (Ct) used in a two-step procedure to analyse a set of randomly selected modern fibres (n=48, 16 from each species). The overall success rate for identification was 66.7% but this varied between the species, and the results show differences in the efficacy of the methods. In the first stage, MFA distinguished between hemp and flax/nettle, with 81.3% of the hemp samples being successfully identified. Twenty-seven samples proceeded to stage 2 and were classified using Ct analysis after which 66.7%% of all flax, and 50% of all nettle samples were identified successfully. This suggests that some evidence for the use of wild nettles may have been under-represented in archaeological reports.