bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fungal community inside lichen: a curious case of sparse diversity and high modularity
Authors: Yang Ji Ho , Woo Jung-Jae , Oh Seung-Yoon , Kim Wonyong , Hur Jae-Seoun 
Published: March 2023

Abstract
Background
Lichens represent not only the mutualism of fungi and photosynthetic partners but also a compound microbial consortium harboring non-obligate fungi known as endolichenic fungi. While endolichenic fungi are known to exert a remarkable influence on lichen ecology through their crucial roles in nutrient cycling, bioprospecting and biodiversity, the enigmatic community structures of these fungal inhabitants remain shrouded in mystery, awaiting further exploration and discovery. To address this gap in knowledge, we conducted metabarcoding on two lichens, Dirinara applanta and Parmotrema tinctorum, and compared their microbial communities to those found in the pine bark to which the lichens were attached. Our hypothesis was that the endolichenic communities would exhibit distinct diversity patterns, community structures, network structures, and specialist composition compared to the surrounding epiphytic community.
Results
Our investigation has shed light on the clear demarcation between the endolichenic and epiphytic fungal communities, as they exhibit markedly different characteristics that set them apart from each other. This research demonstrated that the endolichenic communities contained fewer diverse fungi compared to the epiphytic communities. Through community similarity analysis, we observed that the two endolichenic communities shared more commonalities with each other than with the adjacent epiphytic communities. Moreover, we unveiled a striking contrast in the network structures between the endolichenic and epiphytic communities, as the former displayed a more modular and less nested features that is evocative of a potent host-filtration mechanism. Our statistical investigation unveiled that endolichenic communities possessed a high abundance of plant-associated fungi in their specialist category, underscoring the similarity between endolichenic fungi and the phyllosphere mycobiome.
Conclusions
Through our investigation, we have discovered that lichens exert a crucial "host-filtration" effect on the microorganisms within them, leading to less intricate and interconnected communities compared to the neighboring epiphytic environment. These observations provide valuable insights into the metagenomic architecture of lichens and offer a tantalizing glimpse into the unique mycobiome of these extraordinary life forms.
Artificial Intelligence Enabled Cognitive Computer-Centered Digital Analysis Model for Examination of the Children’s Mental Health
Authors: Agarwal Jyoti , Sharma Sachin 
Published: March 2023

Abstract
Mental health plays an important role for how a person act, think and feel. Specially in the case of students it’s become very crucial and they suffer from various kind of mental disorders due to educational , emotional and societal pressure. This paper proposes a Artificial Intelligence enabled cognitive computer-centered digital analysis model for the examination of children’s mental health. The objective of children mental health analysis using vocal spectrogram, a pseudo scientific technology, is to deduce deceit from mental health that is detected in the voice. With excessive stress being viewed as an indication of deceit, the technology seeks to distinguish between good mental health and bad mental health outputs in response to stimuli. In this study, we provide a Convolutional Neural network (CNN) based cognitive computer based model for detecting children mental health based on speech cues and deep learning. Automatic children mental health detection is developing into an intriguing study topic since communication between intelligent systems and humans is demanded to happen more frequently. Although the level of particular hormones, like as corti-sol, can be accurately measured to identify children’s mental health. Proposed CNN model validation is done using five different usability factors (learnability, efficiency, effectiveness, satisfaction and under-standability) to assess its utility and effectiveness and the results of 1 Springer Nature 2021 L A T E X template Artificial Intelligence Enabled Cognitive Computer-Centered Digital Analysis Model fo the initial tests indicate that the proposed model provides a promising tool for the examination of children’s mental health. This paper also discusses about how Reinforcement Learning(RL) and CNN algorithms can be used for continuous improvement of the proposed model.
Case report: Use indocyanine green to identify a rare case of hepatocellular carcinoma caused by nonalcoholic steatohepatitis and angiomyolipoma of liver
Authors: Xu Jingyi , Wang Liang , Li Chao , Xing Weina , Qian Xinye , Hu Wang , Wang Shuang , Gao Lu , Yang Yufan , Yan Jun 
Published: March 2023

Abstract
Due to non-specific clinical and radiological features, it is usually difficult to differentiate from angiomyolipoma of liver and hepatocellular carcinoma. This brings great uncertainty to our choice of surgical plan. In this paper, we reported a case of a 71 years old male patient who was admitted to our hospital because he found hepatic occupied disease in physical examination. After the comprehensive examination and evaluation, we considered that he might have multiple nodules angiomyolipoma of liver, and he was surgically removed. Then we performed surgical resection of the lesions. During the operation, we observed tumors with indocyanine green fluorescence imaging technology, and we believed that they are more likely to hepatocellular carcinoma. So, we decided to resect or ablate all lesions of the patient. Postoperative pathological examination showed that they were multiple nodules hepatocellular carcinoma. Following up after 3 months, no obvious space occupation was found on enhanced CT after operation. There is no doubt that this is pretty lucky.
Hybrid Vs Pure Hemorrhoidal Artery Ligation for the Treatment of Hemorrhoids: A Retrospective Study
Authors: Doughan Samer , Moussally Moustafa , Habib Salim , Mokalled Imad , Hout Walid El , Jaafar Narjes , Hafez Bassel , Deeba Samer 
Published: March 2023

Abstract
Purpose: Hemorrhoids are a common etiology of anal discomfort affecting up to half of the population. Treatment of hemorrhoids is variable; the choice of treatment is dependent on their grading. Surgical excision via conventional hemorrhoidectomy (CH) remains the gold standard treatment for high grade hemorrhoids. Transanal hemorrhoidal dearterialization (THD) is a less painful alternative to CH but associated with higher recurrence rates. A hybrid procedure has been recently adopted at the American University of Beirut Medical Center (AUBMC) in which hemorrhoidal artery ligation and conventional hemorrhoidectomy are combined. The aim of this study was to compare the recurrence rate between the pure hemorrhoid artery ligation procedure and the hybrid procedure as treatment modalities for hemorrhoids.
Methods: A retrospective study was done at AUBMC comparing patients who underwent the hybrid procedures with those who underwent the pure THD. The patients were followed up to 5 years with a mean follow up of 6 months.
Results: Our results showed that the hybrid procedure was associated with a lower recurrence rate than the pure procedure (5.7% Vs 13 %, p-value 0.155). In addition, the hybrid group has a lower rate of complications.
Conclusion: The hybrid procedure comprises a novel technique for the treatment of hemorrhoids. It provides a safe alternative with lower complications rate compared to the pure procedure. Moreover, it provides a recurrence rate comparable to conventional hemorrhoidectomy with decreased postoperative pain.
Phylogeographic characteristics of reassortant DS-1-like G3P[8]-strains of rotavirus type A isolated in Nizhny Novgorod (Russia).
Authors: Morozova Olga , Sashina Tatiana , Epifanova Natalia , Velikzhanina Elena , Novikova Nadezhda 
Published: March 2023

Abstract
Since 2013, there has been an increase in reports of the spread of a double intergroup reassortant strain of rotavirus type A (RVA) with the genotype G3P[8] and other genes belonging to the second genogroup I2-R2-C2-M2-A2-N2-T2-E2-H2. Our study found an increase in the proportion of G3P[8] with a short migration profile of genome segments in RNA-PAGE from 15% (2020-2021) to 53% (2021-2022) in Nizhny Novgorod (Russia). The VP7, VP4 and VP6 genes were sequenced by the Sanger method. It was found that the studied strains belong to the genotype G3P[8]-I2, and are reassortants between Wa- and DS-1-like rotaviruses. Phylogenetic analysis revealed that VP7 sequences of studied strains are closely related to DS-1-like G3P[8] RVA, which have been isolated in other countries. The RVAs isolated in Nizhny Novgorod carried the allele P[8]-3.1 of the VP4 gene, as well as other worldwide spreading G3P[8] DS-1-like reassortants. None of the VP6 sequences of studied G3P[8] RVA were included in the group with equine-like strains isolated in other countries. Most VP6 alleles of Nizhny Novgorod G3P[8] DS-1-like RVAs clustered with G2P[4], which were studied earlier. This fact may indicate a local reassortment of the spread strains.
Malignant cell related gene signature for patients with triple-negative breast cancer based on integrated analysis of single cell and bulk RNA sequencing
Authors: Yi Li , Zhao Kankan 
Published: March 2023

Abstract
Background: Triple-negative breast cancer (TNBC) is the heterogeneous cancer. TNBC tissues comprise of malignant epithelial cells and non-malignant epithelial cells. Our study aimed to identify differentially expressed gene between malignant epithelial cells and non-malignant epithelial cells and explore the roles of malignant cell related genes in TNBC.
Methods: Single cell transcriptome sequence data from GSE176078 were selected for the analysis of malignant and nonmalignant cells in the tumor microenvironment. The “Seurat”, “infercnv”, and “SCENIC” packages were applied to perform scRNA-seq analysis. The univariate Cox proportional hazards regression analysis, least absolute shrinkage and selection operator (LASSO) analysis were employed to construct malignant cell related signature in the Cancer Genome Atlas (TCGA). GSE58812 were used as external validation set. Kaplan-Meier curve and log-rank method analysis was used to evaluate the overall survival (OS) of TNBC patient, and ROC curve were applied to validate the predictive ability of the malignant cell related signature in TNBC by calculating the area under the curve (AUC). Next, we evaluated clinical significance of the signature in TNBC. Finally, we evaluated the drug sensitivity.
Results: We identified 487 malignant cell related genes and developed a 10-malignant cell related gene signature with good performance for patients with TNBC. According to this signature, TNBC patients were ranked into a high-risk and a low-risk group with significantly different OS. The ROC curve showed that this signature had good performance for predicting the survival of TNBC patients both in the TCGA and test set. Moreover, the signature was correlated with T-stage, N-stage and stage of TNBC patients. Finally, drug sensitivity results showed that high-risk group patients may benefit from therapy targeting at PI3K/mTOR signaling pathway and low-risk group patients may benefit from therapy targeting at apoptosis signaling pathway.
Conclusion: We developed and validated a 10-malignant cell related gene signature with good performance for patients with TNBC by integrated analysis of single cell and bulk RNA sequencing data.
Class integration test order generation approach based on Sarsa algorithm
Authors: Li Yun , Zhang Yanmei , Ding Yanru , Jiang Shujuan , Yuan Guan 
Published: March 2023

Abstract
As a key step in integration testing, the research on the class integration test order generation problem is conducive to finding unknown bugs and improving the efficiency and quality of software testing. The challenge of this problem is sorting the classes to be integrated to minimize the required stubbing cost. However, the existing approaches of generating class integration test orders cannot satisfy this requirement well. Considering the excellent performance of reinforcement learning in sequence decision problems, this paper proposes a class integration test order generation approach based on Sarsa algorithm, which is belongs to a data-driven model-free reinforcement learning algorithm. This approach takes the stubbing complexity as the indicator to evaluate the stubbing cost and uses it to measure the quality of class integration test order. The Sarsa algorithm is used to train the agent, and three indicators such as test return, the number of removed inter-class dependencies, and the number of cycles are integrated into the design of the reward function to evaluate the merits of the current action. The optimal strategy is obtained in multiple training, so as to solve the class integration test order generation problem. The experimental results on 10 systems show that the class integration test order generation approach based on Sarsa algorithm can generate the class integration test orders with lower stubbing cost.
Membrane-bound complement regulator expression in peripheral nerves
Authors: Karbian Netanel , Eshed-Eisenbach Yael , Zeibak Marian , Tabib Adi , Sukhanov Natasha , Vainshtein Anya , Morgan B. Paul , Fellig Yakov , Peles Elior , Mevorach Dror 
Published: March 2023

Abstract
BACKGROUND: Homozygous CD59-deficient patients manifest with recurrent peripheral neuropathy resembling Guillain-Barré syndrome (GBS), hemolytic anemia and recurrent strokes. Variable mutations in CD59, leading to loss of function, have been described, and overall, 17/18 of patients with any mutation presented with recurrent GBS. Here we determine the expression and possible role of membrane-bound complement regulators including CD59, in the peripheral nervous system (PNS) of mice and humans.
MAIN: Methods. We examined the expression of membrane-bound complement regulators in the peripheral nerves of healthy humans and a CD59-deficient patient, as well as in wild-type (WT) and CD59a-deficient mice. Cross sections of teased sciatic nerves and myelinating dorsal root ganglia (DRG) neuron/Schwann cell cultures were examined by confocal and electron microscopy.
Results. We demonstrate that CD59-deficient mice display normal peripheral nerve morphology but develop myelin abnormalities in older age. They normally express P0, ankyrin G (AnkG), caspr, dystroglycan, and neurofascin. CD59 is colocalized with myelin basic protein (MBP) and P0 and is present in compact myelin and endothelium but absent from noncompact myelin. Furthermore, immunolabeling of WT nerves using antibodies to CD59 and AnkG revealed that CD59 was localized along the internode but was absent from the nodes of Ranvier. Finally, we show that the nodes of Ranvier lack other complement-membrane regulatory proteins, including CD46, CD55, CD35, and Crry, rendering this area highly exposed to complement attack.
CONCLUSION: Myelin in the human PNS is protected only by CD59 and CD55, and not by CD46 or CD35, rendering myelin in the PNS vulnerable to complement attack and demyelination in autoinflammatory Guillain-Barre syndrome, as seen in CD59 deficiency.
Effects of pumping flow rates on the estimation of hydrogeological parameters
Authors: Kirlas Marios C. , Nagkoulis Nikolaos 
Published: March 2023

Abstract
In this paper, we examine the accuracy of estimating the hydrogeological parameters, transmissivity (T) and storativity (S), in a confined aquifer, when there are not enough available data for pumping flow rate values. While the most popular methods, used to estimate aquifer characteristics, assume that the pumping flow rate is constant during pumping, this is practically infeasible. Violation of this assumption results in errors, which are examined in this paper using field drawdown measurements. To find the aquifer characteristics, we use two methods, testing various pumping flow rates. Firstly, we employ the Cooper -Jacob equations to calculate (T) and (S) values. Afterwards, we use these values to create hypothetical drawdowns using Theis equation and finally we estimate the Root Mean Square Error (RMSE) between the actual and the hypothetical drawdowns. Then, we repeat the same process, replacing the Cooper -Jacob equations with Genetic Algorithms and Theis equation to find the aquifer characteristics by minimizing the RMSE between the actual and the hypothetical drawdowns. Although the process is applied only in three datasets, the results indicate that regardless of the method used, the obtained values of aquifer characteristics (T, S) are not considerably affected by inaccurate pumping flow rate estimations.
Filling observational gaps with crowdsourced citizen science rainfall data from the Met Office Weather Observation Website
Authors: O'Hara Tess , McClean Fergus , Villalobos Herrera Roberto , Lewis Elizabeth , Fowler Hayley J. 
Published: March 2023

Abstract
This paper demonstrates the potential for crowdsourced rainfall data to infill gaps in the official rain gauge network and to provide new datasets for use in research. We use data from the Met Office Weather Observation Website (WOW) over 10 years (2011–2020) to generate two open-source datasets for Britain; multi-parameter raw data in an easy-to-use format; and an hourly rainfall dataset. We have compiled and prepared the data and detail here station selection, rain depth calculation, and data resampling to hourly intervals to create a consistent dataset for further processing (including statistical quality control) and application. Mapping the new rainfall dataset establishes that WOW observations fill spatial gaps in the official ground-based rain gauge network over Britain, particularly in urban areas. This could be particularly useful for post-event analysis of rainfall that results in pluvial flash flooding. Here, we focus on Britain but due to agreements with meteorological services in Belgium, the Netherlands, Australia, New Zealand, Sweden, and the Republic of Ireland, plus many citizen scientists globally opting to share data via WOW, there is potential for the development of similar datasets using these methods around the world.
ORGANIZAÇÕES POSSUEM RECURSOS E CAPACIDADE PARA O DESENVOLVIMENTO DA INTELIGÊNCIA ARTIFICIAL?
Authors: Dalmutt Kruger Silvana , Juttel Evandro , Zanin Antonio 
Published: March 2023

O estudo tem por objetivo analisar os recursos favoráveis à capacidade de inteligência artificial de uma empresa de desenvolvimento de softwares empresariais. A teoria da Visão Baseada em Recursos preconiza que os recursos tangíveis e intangíveis podem gerar diferenciação das empresas, criando vantagens competitivas, neste sentido o estudo agrega a Inteligência Artificial como um recurso disponível no ambiente organizacional. A pesquisa foi realizada por meio de um estudo de caso, com aplicação de questionário para uma amostra de 78 colaboradores de uma empresa de desenvolvimento de software da região sudoeste do Paraná. A coleta dos dados ocorreu por meio de questionário eletrônico, composto por 65 questões. Os resultados demonstram que a empresa possui dez0 recursos favoráveis, com destaque para o desempenho da criatividade organizacional, desempenho organizacional, capacidade organizacional da mudança, proclividade ao risco, dados e coordenação interdepartamental. Quanto aos recursos de tecnologia, habilidades humanas empresariais, técnicas e recursos básicos, carecem de maior atenção e podem ser aprimorados, visando estabelecer posicionamento diferencial para a organização. Os achados indicam que os colaboradores percebem que a organização dispõe de recursos tangíveis e intangíveis, os quais podem favorecer a implementação e usabilidade da inteligência artificial como diferencial competitivo. O ramo de atividade da empresa estudada favorece a inserção de recursos de inteligência artificial, no entanto, a organização precisa estabelecer estratégias de capacitação e empatia com os colaboradores, para consolidar e fortalecer as capacidades existentes.
Natural Products as Potential Therapeutic Agents for SARS-CoV-2: A
Medicinal Chemistry Perspective
Authors: Aggarwal Varun , Bala Ekta , Kumar Pawan , Raizada Pankaj , Singh Pardeep , Verma Praveen Kumar 
Published: March 2023

Abstract:
Coronavirus is a single-stranded RNA virus discovered by virologist David Tyrrell in 1960. Till now seven human corona viruses have been identified including HCoV-229E, HCoV-OC43, HCoV-NL63, HCoV-HKU1, SARS-CoV, MERS-CoV and SARS-CoV-2. In the present scenario, the SARS-CoV-2 outbreak causing SARS-CoV-2 pandemic, became the most serious pu-blic health emergency of the century worldwide. Natural products have long history and advantages for the drug discovery process. Almost 80% of drugs present in market are evolved from the natural resources. With the outbreak of SARS-CoV-2 pandemic, natural product chemists have made signi-ficant efforts for the identification of natural molecules which can be effective against the SARS-CoV-2. In current compilation we have discussed in vitro and in vivo anti-viral potential of natural product-based leads for the treatment of SARS-CoV-2. We have classified these leads in different classes of natural products such as alkaloids, terpenoids, flavonoids, polyphenols, quinones, canna-binoids, steroids, glucosinolates, diarylheptanoids, etc. and discussed the efficacy and mode of ac-tion of these natural molecules. The present review will surely opens new direction in future for the development of promising drug candidates, particularly from the natural origin against coronaviru-ses and other viral diseases.
A Mini-review on Recent Advances in Synthesis of Dihydropyrano [3, 2-c]
Chromenes using Magnetic Nanocatalysts
Authors: Wahul Diksha B. , Katkar Santosh S. 
Published: March 2023

Abstract:
The development of an active, selective, and long-term selective catalyst for the synthesis of biologically active heterocycles is still challenging. However, magnetic nanocata-lysts have divergent applications like high efficiency, selectivity, consumption, and reusabil-ity. The current review explores a detailed survey of the latest information on synthetic meth-ods of Pyrano [3, 2-c] chromene derivatives using different magnetic nanocatalysts. Numer-ous studies on the synthesis of these practical compounds have been stimulated by the special qualities and wide-ranging applications of pyrano coumarins and the nanoparticles were tested for their catalytic effectiveness in a one-pot, three-component reaction involving aldehydes, malononitrile, and 4-hydroxycoumarin for the synthesis of dihydropyrano [3, 2-c] chromenes (coumarins).