bluuebunny/crossref_metadata_2025_split huggingface dataset:
METTL3 dual regulation of the stability of LINC00662 and VEGFA RNAs promotes colorectal cancer angiogenesis
Authors: Zhang Guoying , Wang Tianjun , Huang Zihui , Chen Yuanyuan , Sun Li , Xia Xia , He Fang , Fan Chenying , Wang Shukui , Liu Wanli 
Published: September 2022

Abstract
Purpose
The angiogenesis is among the primary factors that affect tumor recurrence and distant organ metastasis in colorectal cancer (CRC). N6-methyladenosine (m6A) modification is one of the most common chemical modifications in eukaryotic mRNA, especially at the post-transcriptional level. Methyltransferase-like 3 (METTL3) promoting angiogenesis in a variety of tumors has been reported. However, the mechanism of how METTL3 dual-regulates the stability of long non-coding RNAs (lncRNAs) and vascular-related factor RNAs to affect angiogenesis in CRC is unclear.

Methods
64 paired CRC and adjacent normal tissues were collected. In vitro, quantitative real-time polymerase chain reaction (qRT-PCR), immunohistochemistry (IHC), actinomycin assay, methylated RNA immunoprecipitation (MeRIP) experiment,3-(4,5)-dimethylthiahiazo(-z-y1)-3,5-di-phenytetrazoliumromide (MTT) and colony formation assay were performed. The functions were also studied in zebrafish model animals in vivo.

Results
We found that the vascular endothelial growth factor A(VEGFA), METTL3 and LINC00662 RNAs were highly expressed in CRC, and that METTL3 was significantly positively correlated with LINC00662 and VEGFA. The protein expression levels of CD31, CD34, VEGFA, m6A and METTL3 were all significantly increased in the CRC tissues. The angiogenesis experiments both in vivo and in vitro found that METTL3 and LINC00662 promoted angiogenesis in CRC. The actinomycin assay indicated that METTL3 maintained the stability of LINC00662 and VEGFA RNAs. In addition, the MeRIP experiment confirmed that the LINC00662 and VEGFA RNAs had METTL3-enriched sites.

Conclusion
These findings suggest that METTL3 and LINC00662 may both serve as diagnostic and prognostic predictive biomarkers for CRC and potential targets for anti-vascular therapy.
Characterization of the health and irrigation risks and hydrochemical properties of groundwater: a case study of the Selian coal mine area, Ordos, Inner Mongolia
Authors: Li Yaqiang , Zhang Xueliang 
Published: September 2022

AbstractGroundwater (GW) is an important source of freshwater in arid and semiarid areas. Some important industrial activities, such as coal mining, also consume GW. There have been few studies evaluating GW quality in the Selian coal mining area of Inner Mongolia. This study aimed to identify the hydrochemical phases and the sources of main ions in the GW of the Selian coal mining area. Water quality analysis was performed on 20 shallow GW samples collected from the study area. Statistical correlation analysis was performed on these water quality data. The quality of irrigation water was evaluated based on water quality indices such as the sodium absorption rate and sodium percentage. The risk of nitrate pollution in the study area to human health was evaluated by GW nitrate content. The results show that the dominant GW chemistry types in the study area are the mixed and Ca–HCO3 types. Correlation analysis indicates that rock weathering and leaching are the main natural drivers of GW hydrochemistry in this area. The irrigation risk analysis shows that GW in this area can be used for irrigation, although some caution is needed. The human health risk assessment shows that GW nitrate pollution poses more risk to children than to adults by a factor of 1.168. It is recommended that centralized treatment of drinking water is the optimal approach to managing this risk. The results of this study can act as a reference for the rational use of GW and for control of nitrate pollution in this area.
Exploring the metabolic features of purple non-sulfur bacteria for waste carbon utilization and single-cell protein synthesis
Authors: Rashid Naim , Onwusogh Udeogu , Mackey Hamish R. 
Published: September 2022

AbstractIn recent years, single-cell protein (SCP) has been considered a promising aquaculture feed to cope with the growing issue of food security. SCP is derived from microbes including algae, yeasts, and bacteria. Algae and yeasts have been comprehensively studied as SCP sources in the last few years. However, their large-scale application is not yet economical. Recently, the use of purple non-sulfur bacteria (PNSB) has been realized as a sustainable source of SCP. PNSB display unique metabolic features that distinguish them from other SCP sources. They can grow under various light and electron donor/acceptor conditions, can use a variety of low-cost carbon sources, give high substrate yield under their preferred photoheterotrophic growth mode, and demonstrate anti-pathogenic properties. They also use the infrared region of light that enables their straightforward enrichment under non-axenic conditions. Despite the unique characteristics of PNSB, their use as SCP has not been widely reported. This review provides comprehensive knowledge about different factors that influence the quality and quantity of SCP produced from PNSB. The effects of key factors including light, redox conditions, trace metals, carbon substrate, and substrate availability are discussed. Special focus is given to the use of PNSB as SCP in aquaculture and PNSBs concomitant role in improving water quality. This information would expand knowledge and enhance understanding to utilize PNSB as an alternative SCP source for aquaculture feed.
The Role of lncRNAs and miRNAs in Therapy-Induced Senescence in Neuroblastoma
Authors: Jahangiri Leila , Ishola Tala 
Published: September 2022

Abstract
Purpose of Review
Neuroblastoma, a paediatric malignancy of the sympathoadrenal lineage with a variable clinical course, is the most prevalent extra-cranial cancer in children. The majority of multi-modal therapeutics utilised for treating neuroblastoma may drive cells towards cell death or cellular senescence.

Recent Findings
Although cellular senescence has been historically regarded as a permanent state of non-proliferation, new evidence supports the notion that this process may indeed be much more dynamic than previously thought. Further, senescent tumour cells may escape treatment and further promote inflammation and migration through their repertoire of secreted molecules, leading to disease relapse.

Summary
Given this background, we review here the role of non-coding RNAs inclusive of long non-coding RNAs (lncRNAs) and miRNAs in therapy-induced senescence-related processes in neuroblastoma and discuss how these molecules may be manipulated for therapeutic gain.
Impact of Covid-19 Restrictions on Individual Placement and Support Service Delivery in Northern Norway
Authors: Wittlund Sina , Butenko Daniil , Brandseth Oda Lekve , Brinchmann Beate , Killackey Eóin , McDaid David , Rinaldi Miles , Mykletun Arnstein 
Published: September 2022

AbstractIndividual Placement and Support (IPS) is an evidence-based supported employment program that helps people with severe mental illness to achieve steady, meaningful employment in competitive mainstream jobs. The purpose of this study is to investigate the impact of Covid-19 restrictions on IPS service delivery in Northern Norway between March and October 2020. In Norway, IPS is in the early stages of full-scale implementation and is therefore potentially sensitive to external stressors such as the Covid-19 pandemic. In October 2020 we conducted a retrospective, cross-sectional survey with IPS employment specialists in Northern Norway (n = 25). The purpose was to collect information about how Covid-19 restrictions between March and October 2020 impacted their ability to deliver IPS services. As a result of Covid-19 restrictions, more than half the employment specialists were reassigned to other roles or non-IPS related work tasks. They also reported less collaborative engagement with clinical teams and employers. 69 (20.4%) of IPS users supported by employment specialists gained employment after the Covid-19 restrictions were introduced and 82.8% of unemployed IPS users continued to seek competitive employment despite Covid-19 restrictions. Covid-19 restrictions appear to have created obstacles for IPS service delivery in Northern Norway and have negatively impacted the employment specialists' collaborative engagement with clinical teams. However, IPS employment specialists have shown strong capabilities in overcoming these challenges and services users have remained motivated to seek employment during the pandemic.
Object tracking in infrared images using a deep learning model and a target-attention mechanism
Authors: Parhizkar Mahboub , Karamali Gholamreza , Abedi Ravan Bahram 
Published: September 2022

AbstractSmall object tracking in infrared images is widely utilized in various fields, such as video surveillance, infrared guidance, and unmanned aerial vehicle monitoring. The existing small target detection strategies in infrared images suffer from submerging the target in heavy cluttered infrared (IR) maritime images. To overcome this issue, we use the original image and the corresponding encoded image to apply our model. We use the local directional number patterns algorithm to encode the original image to represent more unique details. Our model is able to learn more informative and unique features from the original and encoded image for visual tracking. In this study, we explore the best convolutional filters to obtain the best possible visual tracking results by finding those inactive to the backgrounds while active in the target region. To this end, the attention mechanism for the feature extracting framework is investigated comprising a scale-sensitive feature generation component and a discriminative feature generation module based on the gradients of regression and scoring losses. Comprehensive experiments have demonstrated that our pipeline obtains competitive results compared to recently published papers.
Experimental study of coal flow characteristics under mining disturbance in China
Authors: Zhang Lei , Kan Zihao , Zhang Cun , Tang Jun 
Published: September 2022

AbstractWith annually increased coal mining depth, gas extraction becomes more and more problematic. The gas extraction effect depends on coal seam permeability, which, in turn, is affected by many factors, including loading and unloading stresses and strains in the coal seam. Stresses induce internal cracks, resulting in cleats and gas emission channels, the coal seam permeability permanently changes accordingly. To clarify the stress-induced effects on coal seam permeability, this survey summarized the available approaches used to link the stress path and seepage law in the coal body seepage law, which can be classified into two design methods: single load variation and combined field mining method. The characterization methods used to observe the surface of coal samples and three-dimensional reconstruction include electron microscopy, CT scanning, and Nuclear Magnetic Resonance (NMR). According to the stress paths designed by the above two approaches, the seepage laws and similarities of three kinds of coal samples with the fractured structure were summarized in this paper. The following directions are recommended to study the seepage law of coal bodies with three kinds of fractured structures under stress. Firstly, the stress path of the experimental coal body should be designed by the combined field mining method. The stressed environment of a deep coal seam is complicated, and the axial and confining pressures change simultaneously. Therefore, one cannot fully reflect the real situation on-site by studying permeability evolution alone. Secondly, during the coal seam mining, the stressed state changes from time to time, and the development of coal seam fractures is affected by mining. When studying the stress effect on seepage of coal samples, the fractured structure of coal samples should be considered. Finally, the available structural characterization methods of coal samples can be combined with the 3D printing technology, which would produce artificial samples with the fractured structure characteristics of natural coal.
Do Secondary School Students’ Strategies in Solving Permutation and Combination Problems Change with Instruction?
Authors: Lamanna Luca , Gea María Magdalena , Batanero Carmen 
Published: September 2022

AbstractThis work is part of an investigation conducted in Italy, which aims to explore the effects of instruction on secondary school students’ combinatorial reasoning. We gave a questionnaire adapted from Navarro-Pelayo’s research to two groups of students with and without instruction on combinatorics in order to analyse the students’ performances and the strategies used in their solutions, as well as the effect of instruction on the same. We present the results obtained in two permutation and two combination problems (each in the distribution and selection models). Permutation problems were found easier than combination problems, selection problems were found easier after instruction, and the instruction group obtained better results. We found differences in the main strategies used in both groups: enumeration and dividing a problem in parts was more common in the no-instruction group. The instruction group frequently relied on the use of a formula and the product rule.
The Prevention of Adolescent Problem Gambling Through Probabilistic Reasoning: Evidence of the Intervention’s Efficacy
Authors: Primi Caterina , Donati Maria Anna 
Published: September 2022

AbstractPreventive efforts are necessary to reduce the risk for problem gambling among adolescents, especially among more at-risk youth. However, only a small proportion of the preventive initiatives implemented in the field of adolescent problem gambling are based on robust theoretical models and have been evaluated in their efficacy. By referring to the dual-process model of human functioning, especially to the mindware concept, the goal of this study was to develop and evaluate a school-based preventive intervention based on teaching probabilistic reasoning ability and explaining biases in reasoning with probability. Indeed, research with adolescents found that poor probabilistic reasoning ability is associated with gambling-related cognitive distortions that, in turn, are a risk factor for problem gambling. The study aim was to reduce gambling-related distortions by working on the concept of randomness and probability. A pre- and post-test design was performed with 72 adolescents randomly assigned to a Training group and a No Training group. Results showed a significant reduction of cognitive distortions at the post-test only in the Training group. Findings suggest that teaching probability can serve to reduce the susceptibility to gambling-related distortions and should be pointed out in the training process of the intervention providers in the gambling field.
Green and Social Regulation of Second Hand Appliance Markets: the Case of Air Conditioners in the Philippines
Authors: Never Babette 
Published: September 2022

Abstract
Second hand markets for appliances such as air conditioners are largely unregulated in many low and middle income countries this far. Energy and climate goals may require a speedy phase-out of old appliances, whereas material resource and social concerns may call for repairing and reusing air conditioners as long as possible. Demand for space cooling is soaring globally, increasing regulatory pressure. In middle income countries such as the Philippines, the market for second hand room air conditioners is sizeable. This study targets the question when and how to regulate the market for used air conditioners to balance green and social goals. It analyses the second hand market for air conditioners in Metro Manila, uncovering the general supply chain, business models and customers as well as energy efficiency, refrigerant and repair practices. The study draws on qualitative interviews with 10 experts and 29 retailers and technicians active in the semi-formal second hand market for air conditioners. Available information of lifecycle analyses is taken into account, but the focus of this contribution lies on social impacts of potential regulation. Overall, short-to-medium interventions in the second hand market are required to balance environmental and social goals that target the different players in the market: construction industry, brokers, retailers and technicians, customers and scrap dealers. Neither a complete ban nor delaying or foregoing regulation is advisable. Specific policy recommendations are derived.
Integrated Neuro-Evolution-Based Computing Paradigm to Study the COVID-19 Transposition and Severity in Romania and Pakistan
Authors: Shoaib Muhammad , Abukhaled Marwan , Kainat Saba , Nisar Kottakkaran Sooppy , Raja Muhammad Asif Zahoor , Zubair Ghania 
Published: September 2022

AbstractNumerical treatment of the COVID-19 transposition and severity in Romania and Pakistan has been presented in this study, i.e., ANN-GA-SQP through artificial neural network genetic algorithms (ANN-GA) and sequential quadratic programming (SQP), a design of an integrated computational intelligent paradigm, COVID-19 is widely considered to be the greatest health threat humanity has ever faced. In terms of both health and economics, COVID-19 is a huge disaster. Many academics have looked at the COVID-19 model in their research papers, although they use different traditional techniques to represent it. The use of hybrid suggested solutions to solve this issue in the present article is significant, demonstrating the study's novelty. The SIR model of COVID-19 consists of a susceptible, infectious, and recovered class of population. The activation function for the construction of functions based on fitness in mean squared error sense is developed using nonlinear equations of the COVID-19 SIR model for the best performance of ANN-GA-SQP with the combined potential of GA and SQP of a network. While detailed refining is done with efficient local search with SQP, GAs operates as a global search. In addition, a neuron analysis will be presented to verify the effectiveness and complexity of the proposed method. Adam’s numerical methodology is applied to compare the sustainability and efficacy of the presented paradigm. Analytical evaluations of mean, median, and semi-interquartile range values, as well as Theil’s inequality coefficients, root mean squared error, and mean of absolute deviation) values have been observed. The convergence and correctness of the ANN-GA-SQP approach are further validated by statistical analyses.
The expression of SOX10 and its value for predicting tumor biological behaviors in patients suffering gastric adenocarcinoma, cross sectional study
Authors: Yazdi Seyed Amir Miratashi , Nazar Elham , Shafiei Sepideh 
Published: September 2022

Abstract

Background
Special attention has been recently paid to the expression of the SOX10 marker, which is actually responsible for coordinating the signaling process of the Wnt/B-catenin evolutionary pathway and therefore responsible for cell proliferation and differentiation in tumor cells. We aimed to study the expression of this marker in different types of gastric adenocarcinomas and to find its relationship with histopathologic features of the tumor.

Methods
This cross-sectional study was performed on patients with gastric adenocarcinoma (diffuse or intestinal type) whose malignancy could be confirmed by tissue. Subjects were classified according to CAP criteria based on pathology results. Patients underwent immunohistochemical staining to evaluate SOX10 expression. Tumor behavior was determined based on histological studies.

Results
SOX10 positivity was reported in 22.5% of all tissue samples assessed. The assessment of relationship between SOX10 expression and baseline and tumor characteristics showed no significant association of SOX10 expression and patients’ gender, age, tumor location, tumor size, its type and also lymphovascular and perineural invasions.

Conclusion
The expression of the SOX10 marker is expected only in 22.5% of patients diagnosed with gastric cancer. In our society, the expression of this marker has nothing to do with the biological and aggressive behaviors of this tumor.

Highlights
Predictive Intelligence for Cholera in Ukraine?
Authors: Usmani Moiz , Brumfield Kyle D. , Magers Bailey M. , Huq Anwar , Barciela Rosa , Nguyen Thanh H. , Colwell Rita R. , Jutla Antarpreet 
Published: September 2022

AbstractCholera, an ancient waterborne diarrheal disease, remains a threat to public health, especially when climate/weather processes, microbiological parameters, and sociological determinants intersect with population vulnerabilities of loss of access to safe drinking water and sanitation infrastructure. The ongoing war in Ukraine has either damaged or severely crippled civil infrastructure, following which the human population is at risk of health disasters. This editorial highlights a perspective on using predictive intelligence to combat potential (and perhaps impending) cholera outbreaks in various regions of Ukraine. Reliable and judicious use of existing earth observations inspired mathematical algorithms integrating heuristic understanding of microbiological, sociological, and weather parameters have the potential to save or reduce the disease burden.
Climate and Anthropogenic Controls of Seaweed Expansions in the East China Sea and Yellow Sea
Authors: Qi Lin , Hu Chuanmin , Barnes Brian B. , Lapointe Brian E. , Chen Yanlong , Xie Yuyuan , Wang Menghua 
Published: September 2022

AbstractBlooms of various types of seaweeds have been reported worldwide, with recent expansions in surface waters. While most of the expansions have been attributed to eutrophication due mainly to human activities, any potential role of climate change is unclear. Here we show that, in the East China Sea and Yellow Sea, increased biomass of Sargassum horneri (S. horneri, brown seaweed) from 2000 to 2021 appears to be caused primarily by ocean warming, as S. horneri prefers a certain temperature range to grow. In contrast, while increases of Ulva prolifera (U. prolifera, green seaweed) in the same regions might also be related to ocean warming, during the same period, human activities such as coastal aquaculture or seaweed mitigation may muddle such effects. With the projected ocean warming in the next decades, we hypothesize that S. horneri blooms may occur earlier during the year and may continue to expand in the future.
Impact of the Latitude of Stratospheric Aerosol Injection on the Southern Annular Mode
Authors: Bednarz Ewa M. , Visioni Daniele , Richter Jadwiga H. , Butler Amy H. , MacMartin Douglas G. 
Published: September 2022

AbstractThe impacts of Stratospheric Aerosol Injection (SAI) strategies on the Southern Annular Mode (SAM) are analyzed with the Community Earth System Model. Using a set of simulations with fixed single‐point SO2 injections we demonstrate the first‐order dependence of the SAM response on the latitude of injection, with the northern hemispheric and equatorial injections driving a response corresponding to a positive phase of SAM and the southern hemispheric injections driving a negative phase of SAM. We further demonstrate that the results can to first order explain the differences in the SAM responses diagnosed from the two recent large ensembles of geoengineering simulations utilizing more complex injection strategies – Geoengineering Large Ensemble and Assessing Responses and Impacts of Solar climate intervention on the Earth system with Stratospheric Aerosol Injection (GLENS and ARISE‐SAI) – as driven by the differences in the simulated sulfate aerosol distributions. Our results point to the meridional extent of aerosol‐induced lower stratospheric heating as an important driver of the sensitivity of the SAM response to the injection location.