bluuebunny/crossref_metadata_2025_split huggingface dataset:
Damage maps of façades of a public university
Authors: SANTOS Bruna Letícia Costa , AZEVEDO Vinícius Francis Braga , JÚNIOR José Maria de MOURA , CAVALCANTI Lucas Rodrigues , PÓVOAS Yêda Vieira 
Published: April 2023

Abstract
For a building to perform well during its useful life, it is essential that exist an adequate control during the design and execution phases of the structure, as well as periodic maintenance, over the years, after its construction. The Polytechnic School of Pernambuco (POLI) was founded 110 years ago and consists of several blocks of buildings that were built over the years, therefore, the institution is susceptible to exposure to building defects due to the useful life of the blocks, to the various materials in which they were built and the lack of periodic maintenance. The objective of this research was to carry out the identification of the building defects present on the façades of Block D of POLI and to elaborate their respective damage maps. As a methodology, a case study was carried out, where visual inspections were made through photographic records, then, the elaboration of damage maps through AutoCAD software. After inspection of the façades, the high presence of building defects was identified, especially on the front façade, among which the main ones were peeling paint and dirt. The damage maps made possible to gather the defects present in a relatively precise and easy to understand way, being a fundamental document to help the necessary maintenance of Block D plan, to guarantee its conservation.
Determination of Dominant Phyllosphere Microbial Community in Rubber Trees with Powdery Mildew
Authors: Shan Jiaxin , Wu Hua , Miao Weiguo , Li Xiao , Lin Chunhua 
Published: April 2023

Abstract
Background
Rubber tree powdery mildew is an important fungal leaf disease of rubber tree caused by obligate parasitic bacteria. It is one of the most important diseases in rubber planting areas around the world. The pathogen of rubber tree powdery mildew was previously named Oidium heveae, and its pathogen name is currently Erysiphe quercicola. Leaf-associated microbiomes are currently a new and hot research field for molecular ecology, and the biomass in plant ecosystems is also very large and the biological community is extremely rich.
Results
This study used high-throughput sequencing and other molecular techniques to analyze the structure and diversity of the dominant fungi and bacteria communities of rubber tree leaves in four representative rubber-producing areas in Hainan Province, China (BS, DZ, WN, WZS) after white powder disease occurred. It was found that the dominant bacterial phyla in the four regions were Cyanobacteria, Proteobacteria and Actinobacteria, and the dominant bacterial genus was Cyanobacteria. The dominant fungal phyla in the four regions were Ascomycota, Fungi_unclassified and Basidiomycota.There is significant difference in fungal community composition and relative abundance at genus levels between different areas. We explored the effect of rubber tree powdery mildew on its phyllosphere microbes found that in the same area, there is little difference in community structure between healthy leaves and grade 3 diseased leaves, which only affect the community abundance, while there is significant difference in community composition of different areas. This conclusion also confirms that in the harsh phyllosphere environment, rubber tree phyllosphere microbes need to maintain a good symbiotic relationship with hosts and pathogenic bacteria for surviving and evolving.
Conclusions
This study analyze the structure and diversity of the dominant fungi and bacteria communities of rubber tree leaves in four representative rubber-producing areas in Hainan Province, China after white powder disease occurred. This project the first time to study the influence of Erysiphe on leaf microorganisms of rubber trees. The conclusion confirms that in the harsh phyllosphere environment, rubber tree phyllosphere microbes need to maintain a good symbiotic relationship with hosts and pathogenic bacteria for surviving and evolving.
Partial repair in reinforced concrete using corrosion inhibitor
Authors: Bezerra José Emidio Alexandrino 
Published: April 2023

Abstract
In general, the standards recommend that repairs in places affected by corrosion have done by removing the concrete around the oxidized reinforcement. However, this can pose risks to the integrity of the structure, especially in relation to the pillars, and here, they were present in abbreviated form. To evaluate the difference in effectiveness between the two options for structural repairs, a qualitative laboratory research carried out, based on the variation of corrosion potentials measured with a Cu/CuSO4 semi-cell, in prismatic specimens submitted to corrosion tests induced by chlorides. Then, the use of anodic or cathodic corrosion 'the partial repairs, although they presented inferior results to the total repairs, in relation to the initiation of the corrosion, they are better that the common structural concrete. This, indicating that, they can be a good option for extending the useful life of the structure, with lower risks and costs.
Screening and verification of potential gene targets in the metastasis of breast cancer by bioinformatics analysis and immunohistochemistry
Authors: Wu Qi-Qiao , Liu Kun , Wu Wei-Xun , Liu Juan , Chen Huan , Guan Ying-Ying , Xu Jian-Fang , Sun Jing , Lin Xin 
Published: April 2023

Abstract
BACKGROUND
Breast cancer (BC), one of the most common cancers among females worldwide, has a high mortality rate, especially for patients with BC metastasis. However, BC metastasis pathogenesis has not yet been completely elucidated.
METHODS
We integrated multiple databases to clarify and verify potential key candidate biomarkers and signal transduction pathways in BC metastasis. Differentially expressed genes (DEGs) of breast cancer metastasis and non-metastasis sites were screened using microarray data from three publicly available datasets (GSE14776, GSE103357 and GSE32489). GEO2R, DAVID 6.8, STRING, Cytoscape, GEPIA 2.0 and R 4.0.5 were utilized in this study. The correlations between hub genes and clinical value were validated through the GEPIA online tool, UALCAN and immunohistochemistry (IHC) stain.
RESULTS
A total of 295 DEGs were identified, which were significantly enriched in terms related to focal adhesion, and cell division. KEGG pathway analysis showed that significant pathways included the MAPK signaling pathway, the Rap1 signaling pathway, cell adhesion molecules. Eight hub genes (TYMS, SKA1, ADCY7, POLR3H, CDCA8, PRC1(ASE1), KIF14, and MX1 and two biomarkers (PRC1 and POLR3H) with significantly prognostic values were screened by multi-omics data analysis and verified by IHC stain.
CONCLUSIONS
In this study, we identified a robust set of potential candidate biomarkers in BC metastasis, which would provide potential value for its early diagnosis and prognosis, and would promote molecular targeting therapy for BC metastasis.
Intelligence-learning driven resource allocation for B5G Ultra-Dense Networks: A structured literature review
Authors: Anzaldo Alexis , Rodríguez Marcela D. , Andrade Ángel G. 
Published: April 2023

Abstract

Network densification is a suitable solution to improve the capacity of future mobile networks. However, deploying massive low-power base stations sharing the radio spectrum will cause increased interference reducing the ultra-dense networks (UDN) performance. Resource Allocation (RA) proposals have been developed for decades to meet mobile subscribers' data traffic and QoS demands and to prevent harmful interference. However, as networks evolve and mobile applications request more bandwidth, high data rates, and ultra-reliable low latency, the RA problem has become more complex. Machine Learning (ML) techniques have recently been explored to significantly reduce the computational complexity of RA problems and improve overall UDN performance compared to traditional methods. This paper systematically focuses on the most relevant research contributions that use ML techniques to produce accurate channel and power allocation results in UDN. A total of 56 articles were analyzed from a thorough selection process from manuscripts published from 2010 to 2022 in different academic databases. We describe the main aim of these research works and, according to the ML technique applied, have classified them into ANN-based, RL-based, or DRL-based models. Also, we identify the design features of reinforcement learning strategies used to enhance Key Performance Indicators (KPIs), such as energy and spectral efficiency, throughput, interference, or fairness. Research directions are discussed based on the findings.
Recovering Scientific Literature on COVID-19 using level-based Text Analysis
Authors: Padilla-Cuevas Josu , Cuevas-Rasgado Alma Delia , Reyes-Ortiz José A. , Bravo Maricela 
Published: April 2023

Abstract
The pandemic caused by the SARS-CoV-2 virus has generated numerous scientific texts on the subject, including symptoms, drugs, treatments, and vaccines. These documents are written in natural language and lack a computer-processable structure, which causes a tedious and time-consuming manual analysis. Thus, Information Retrieval (IR) approaches are increasingly necessary to analyse Spanish scientific texts. Therefore, this paper presents approaches based on text analysis levels to retrieve relevant documents about COVID-19 from the Spanish literature. The approaches include preprocessing scientific texts, recovering relevant documents using text analysis levels (probabilistic, similarity, and semantic), and an evaluation process. The main aim of the approaches is to rank the scientific documents considering their relevance to the input question. The evaluation task is done with 100 COVID-19 questions and a dataset of 249,000 scientific texts in Spanish. The results show that the probabilistic approach achieved an F-measure of 85%, supported by document filtering using the Latent Dirichlet Allocation (LDA) algorithm.
Deep Implicit Supervision with Multiscale Feature Mapping for COVID-19 Detection in Chest Radiography Images
Authors: Aloraini Mohammed , Habib Shabana , Albattah Waleed , Alsharekh Mohammed F. , Islam Muhammad , Khan Sheroz 
Published: April 2023

Abstract
The COVID-19 pandemic is considered one of the major outbreaks all over the world, having a serious impact on human health and state economies. One of the important steps involved in fighting against COVID-19 is the early detection of positive patients and keeping them under observation in special care. Detecting COVID-19 from chest X-ray (CX) images is an efficient way to diagnose patients. Therefore, researchers investigated the specific abnormalities in the CX of COVID-19-positive patients. However, the detection accuracy of these methods is not enough for real-time implementation therefore, we develop an effective and efficient model for COVID-19 detection that obtains a better balance among accuracy, specificity, and sensitivity using three benchmark datasets. In the proposed work, a multiscale feature extraction mechanism is used to capture rich spatial information, which improves the discriminative ability of the model to detect COVID-19. Afterward, an implicit deep supervision mechanism is used to increase the interaction among information flows through dense connections. Lastly, a channel attention module selectively highlights the contribution between different feature maps. The experimental results of our model using three benchmark datasets including CXI, XDC, and CRD, demonstrate that our model surpassed the state-of-the-art approaches by achieving higher accuracy, specificity, and sensitivity.
Ficus Lyrata Bark Extract Alleviates Steatosis in Obesity- Induced Non-Alcoholic Fatty Liver Disease in Rats
Authors: Taher Rehab F. , El-Sammad Nermin M. , Mousa Amria M. , Balabel Esraa A. , Youssef Elham M. , Afifi Ahmed H. , Abdel-Rahman Sahar S. , Anwar Nayera , Hassan Sherien K. 
Published: April 2023

Abstract
The authors have requested that this preprint be removed from Research Square.
MicroRNA-485-5p targets keratin17 to regulate pancreatic cancer cell proliferation and invasion via the FAK / SRC / ERK pathway
Authors: Chen Peng , Pan Meng , Shen Zhengchao , Yang Yuquan , Wang Xiaoming 
Published: April 2023

AbstractIt is crucial to probe into the biological effect and mechanism of miRNA-485-5p regulating KRT17 in pancreatic cancer (PC) to understand its pathogenesis and identify potential biological targets. The bioinformatics means were used to evaluate the clinical significance of KRT17 expression in the TCGA database. TargetScan database analysis in conjunction with dual luciferase and RNA Immunoprecipitation (RIP) experiments was used to probe the interaction relationship of miRNA-485-5p with KRT17. The expression of miRNA-485-5p and KRT17 in PC tissue and cancer cell lines was detected by Q-PCR paired with western blot assay. The biological function of miRNA-485-5p in regulating KRT17 was investigated in the PC cell line via gene silencing/overexpression technique. A western blot experiment was utilized to investigate the regulatory effect of KRT17 on cell cycle-related proteins and the FAK/Src/ERK signal pathway. The level of KRT17 was dramatically increased in PC tissues and this significantly decreased the survival rate of PC patients. TargetScan in combination with dual luciferase and RIP experiments verified the miRNA-485-5p target KRT17. The expression of KRT17 was high in the PC cell line, although the expression of miRNA-485-5p was low. Silencing KRT17 or overexpression of miRNA-485-5p significantly inhibited PC cell viability, proliferation, invasion, and colony formation, while promoting apoptosis. In contrast, overexpression of KRT17 drastically reversed the function of miRNA-485-5p. The silenced KRT17 remarkably downregulated the expression of cyclinD1, CDK1, CDK2, p-FAK, p-Src, and p-ERK proteins in the PC cells. Generally, an essential signaling cascade of miRNA-485-5p/KRT17/FAK/Src/ERK influences the biological functions of PC cells.
Functional instant beverages
Authors: Tabakaev Anton , Tabakaeva Oksana , Prikhodko Yury 
Published: April 2023

Brown algae are a source of hydrothermal extracts that can serve as an effective raw material for instant beverages. This article offers new formulations of functional instant beverages made of concentrated fruit juices and algal extracts of Saccharina japonica and Sargassum miyabei Yendo. The research objective was to define their bioactive and antioxidant profiles.
The research featured S. miyabei Yendo and S. japonica brown algae from the Far East of Russia, their dry hydrothermal extracts, and instant drinks based on these extracts combined with concentrated juices of cranberry, sea buckthorn, and chokeberry. The list of methods included spectrophotometry, high-performance liquid chromatography, and gas chromatography.
The hydrothermal algal extracts of S. miyabei and S. japonica were rich in fucoidan, phenolic compounds, and iodine. The new instant beverages underwent a sensory evaluation. They contained iodine, phenolic compounds, vitamins (ascorbic acid), fucoidan, pectin, flavonoids, anthocyanins, catechins, carotenoids, and tocopherols. All the samples could be classified as functional, but the best antiradical properties belonged to the sample with black chokeberry juice and S. miyabei.
The new functional instant beverages had a high radical-binding activity, which reached 96.3%. One portion (200 mL) covered 27–30% of the recommended daily intake of iodine and 22–50% of vitamin C. The obtained results prove that instant beverages made of S. japonica and S. miyabei Yendo can be used as functional products.
Transient Receptor Potential Canonical 5 (TRPC5) Channels Activator,
BTD [N-{3-(adamantan-2-yloxy)-propyl}-3-(6-methyl-1,1-dioxo-2H-1λ6,2,4-
benzothiadiazin-3-yl)-propanamide)] Ameliorates Diabetic Cardiac Autonomic
Neuropathy in Rats
Authors: Sharma Shyam Sunder , Adhya Pratik 
Published: April 2023

Background:
Diabetic cardiac autonomic neuropathy (DCAN) is a serious diabetic
complication with no approved pharmacological agents for its treatment. Parasympathetic system
dysfunction characterized by vagal nerve damage is one of the major drivers of DCAN. The
TRPC5 or transient receptor potential canonical 5 channel is a promising target in autonomic
dysfunction; however, its role in vagal nerve damage and subsequent DCAN has not yet been
elucidated. The present study investigated the role of the TRPC5 channel in DCAN using
[N-{3-(adamantan-2-yloxy)-propyl}-3-(6-methyl-1,1-dioxo-2H-1λ6,2,4-benzothiadiazin-3-yl) propanamide)]
or BTD, which is a potent TRPC5 activator.

Objective:
The role of the TRPC5 channel and its activator, BTD, was investigated in the treatment
of parasympathetic dysfunction associated with DCAN.

Methods:
Type 1 diabetes was induced in male Sprague-Dawley rats using streptozotocin. The
alterations in cardiac autonomic parameters in diabetic animals were assessed by heart rate variability,
hemodynamic parameters, and baroreflex sensitivity. TRPC5's role in DCAN was investigated
by treating diseased rats with BTD (1 and 3 mg/kg, i.p. for 14 days). BTD's beneficial effects
in parasympathetic dysfunction were assessed by western blotting, estimating oxidative stress and
inflammatory markers in the vagus nerve.

Results:
BTD treatment (3 mg/kg, i.p.) once daily for 14 days ameliorated heart rate variability,
hemodynamic dysfunction, and baroreflex sensitivity in diseased rats. BTD treatment down regulated
TRPC5 expression by increasing the activity of protein kinase C in the vagus nerve. It also
down-regulated the apoptotic marker CASPASE-3 and also exerted potent anti-inflammatory action
on pro-inflammatory cytokines levels in the vagus.

Conclusion:
BTD ameliorated parasympathetic dysfunction associated with DCAN by virtue of its
TRPC5 modulatory, anti-inflammatory, and anti-apoptotic properties.
Metabolic Associated Fatty Liver Disease in Children and Adolescents:
Mechanisms of a Silent Epidemic and Therapeutic Options
Authors: Mosca Antonella , Volpe Luca Della , Sartorelli Maria Rita , Comparcola Donatella , Veraldi Silvio , Alisi Anna , Maggiore Giuseppe 
Published: April 2023

Abstract:
Non-alcoholic fatty liver disease (NAFLD) is now identified as a hepatic sign of meta-
bolic syndrome and is the most frequent cause of chronic liver disease in all ages. It is assumed that
a genetic predisposition associated with epigenetic factors participates in the evolution of this condi-
tion. Visceral obesity and insulin resistance (IR) have always been considered the most important
causative factors of Metabolic Syndrome (MetS) and NAFLD, but currently, the interaction be-
tween genetic heritage and environmental factors is increasingly considered fundamental in the
genesis of metabolic disorders associated with NAFLD. In fact, in patients with NAFLD, insulin resistance, arterial hypertension, abdominal obesity, dyslipidemia and reduced intestinal permeability
have often been found, as well as a higher prevalence of coronary artery disease, obstructive sleep
apnea, polycystic ovary syndrome and osteopenia, which define a MetS framework. Early diagnosis
is needed to prevent disease progression through primarily lifestyle interventions. Unfortunately, at
present, there are no molecules recommended for pediatric patients. However, several new drugs
are in clinical trials. For this reason, targeted studies on the interaction between genetics and envi-
ronmental factors involved in the development of NAFLD and MetS and on the pathogenetic mech-
anisms that determine the evolution in non-alcoholic steatohepatitis (NASH), should be implement-
ed. Therefore, it is desirable that future studies may be useful in identifying patients at risk of de-
veloping NAFLD and MetS early.
The Attitude of Saudi Dentists Towards CAD/CAM in Restorative Dentistry
Authors: Al-Ibrahim Ibrahim K. , Alshammari Faris A. , Alanazi Sarab M. , Madfa Ahmed A. 
Published: April 2023

Background:
The objective of this study was to investigate the attitude of Saudi dentists towards CAD/CAM (computer-aided design and computer-aided manufacturing) in restorative dentistry, investigate the existing knowledge and improve the practice accordingly.

Methods:
At random, electronic surveys were distributed to Saudi dental practitioners. The study received 500 questionnaires, with 425 being deemed valid. The following sections were included in the questionnaire: (i) Practitioner demographic information such as gender, practice level, and practice experience; (ii) CAD/CAM knowledge and benefits; (iii) CAD/CAM skills and training required; and (iv) CAD/CAM clinical overview. Descriptive statistics such as numbers and percentages were used to analyze the collected data. The Chi-square and Fisher's Exact tests were used to assess the results.

Results:
Males accounted for 292 (68.7%) of the participants, while females accounted for 133 (31.3%). General Practitioners accounted for the most subjects (253, or 59.5%), followed by consultants (91, or 21.4%) and specialists (81, or 19.1%). Among 425 dentists, 170 (40%) were aware of CAD/CAM, while 255 (60%) were not. Consultants and specialists demonstrated more significant levels of knowledge than general practitioners.
Furthermore, dentists with experience of more than ten years and experience of 5-10 years showed more understanding of CAD/CAM than dentists with less than five years of experience. Most participants (71.5%) do not use CAD/CAM in dental practice, whereas only less than one-third of them use it. Most participants (63.5%) plan to purchase CAD/CAM. Most dentists (74.4%) believe CAD/CAM technology is helpful in clinical procedures, while others believe it is useful in diagnostic and different functions. Most participants assume that CAD/CAM will eventually replace traditional methods. Most dentists assume that the use of CAD/CAM requires skills and training.

Conclusion:
The findings of this study show a prominent level of satisfaction and a favorable attitude among the surveyed dentists towards the usage of CAD/CAM technology in clinical practice.
ЖИТТЄВІ ДРАМИ ПОВСТАНСЬКОГО ХІРУРГА «ПАСТЕРА» (ЗА МАТЕРІАЛАМИ СУДОВОЇ СПРАВИ ГАЛУЗЕВОГО АРХІВУ СБУ): ДО 80-РІЧЧЯ СТВОРЕННЯ УПА
Authors: І. Д. Любчик  
Published: April 2023

Зважаючи на цьогорічні виклики війни і ювілейну дату – 80 річчя з часу створення УПА прагнемо пригадати призабутих повстанських постатей, чия діяльність була зосереджена не стільки на військовій боротьбі – скільки на боротьбі за людське життя. Метою статті є розкрити сторінки життя у повстанському підіпіллі, на той час ще не дипломованого хірурга «Пастера». Вперше намагатимемося це робити, через судову справу Олексія Миколайовича Зеленюка, з галузевого архіву СБУ в Івано- Франківській області. Його життя це драма нескореного українця, який народився на Вінничиі, вчився і розпочав свою лікарську практику на Одещині, він повстанську боротьбу з окупаційними режимами у білому халаті на Станіславщині (нині Івано-Франківщина), а після тяжких по- невірянь у засланні продовжив свою лікарську діяльність на Львівщині.
Ключові слова: Українська повстанська армія, «Пастер», Олексій Зеленюк, хірург, повстанський шпиталь, Червоний хрест, Прикарпаття