bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative transcriptome analysis of waterlogging induced adventitious root and control root of Mentha arvensis
Authors: Pandey Durgesh Kumar , Upadhyay Swati , Phukan Ujjal J. , Shukla Rakesh 
Published: July 2023

Abstract
Waterlogging a significant problem to plant growth in the areas facing the waterlogged condition of the soil. In our previous findings, Mentha arvensis was shown to adapt better in waterlogging conditions by initiating the early onset of adventitious root formation. In this study, we analysed the adventitious root's transcriptome and compared it with the control root. Analysis of differentially expressed genes in adventitious root in comparison with the control root were grouped into four functional categories, i.e., carbohydrate metabolism, antioxidant activity, hormonal regulation, and regulation of transcription factors that may majorly contribute to the development of adventitious roots. Differential expression of the upregulated and uniquely expressing twenty-four transcripts in adventitious roots was validated using q-RT PCR. The biochemical parameters total carbohydrate, total protein contents and antioxidant enzymes such as nitric oxide, catalase, and superoxide dismutase (SOD) activity were enhanced in the adventitious root. These identified transcripts upregulated or uniquely expressed in the adventitious root will be useful to understand their role in the waterlogging-induced emergence and development of adventitious roots, leading to tolerance towards waterlogging stress in plants.
Epileptic seizure and electroencephalographic characteristics of adult COVID-19 inpatients during the Omicron outbreak in China: a single center retrospective study
Authors: zhang jianfang , zhou jiajia , wu dengchang , gi renjie , zhang xing , wang qi , wang kang 
Published: July 2023

AbstractBackground This retrospective analysis assessed the characteristics of epileptic seizure and continuous electroencephalogram (CEEG) data in hospitalized patients diagnosed with COVID-19 during the Omicron outbreak. Methods CEEG was performed in 28 patients, with 17 showing unexplained altered mental status and 11 suspected of having seizures. Demographic and clinical variables, imaging results, outcomes, and comorbidities were collected. Results In total, 1,405 patients with COVID-19 infection were admitted during the study period. The proportion of patients who required intensive care unit (ICU) care and the in-hospital mortality was 16.3% and 7.8%, respectively. Among patients who underwent CEEG monitoring, 11 were in ICU, and 17 were in regular wards. Of these, 8 patients (28.5%) had severe COVID-19, whereas 6 had acute neuroimaging findings. EEG findings were not specific, with 7 patients (25%) having normal EEG results. Furthermore, 11 (39.3%) had benign EEG alterations, 6 (21.4%) had malignant, and 4 (14.3%) had highly malignant. Six patients exhibited epileptiform abnormalities, including 1 with a prior epilepsy history. Moreover, 4 patients experienced electrographic seizures, with 2 manifesting as epilepsia partialis continua and 2 as nonconvulsive status epilepticus. Periodic and rhythmic patterns were observed in 2 patients, spike-and-wave in 1 patient and generalized rhythmic delta activity in another patient. EEG attenuation without reactivity was seen in 4 patients. Conclusions Seizures can manifest as early symptoms in individuals infected with the Omicron variant of COVID-19. Despite the increased contagiousness associated with Omicron, we observed a higher prevalence of normal EEG results. This suggested that the Omicron variant may be associated with a lower likelihood of causing encephalitis or encephalopathy compared to other variants.
Lower creatinine to cystatin C ratio is associated with an increased risk of MAFLD: A cross-sectional and prospective study of 368,634 UK Biobank participants
Authors: Wang Jiaren , Zeng Lin , Hong Chang , Cui Hao , Zhu Hongbo , Li Qimei , Li Yan , Li Ruining , He Jingzhe , Zhu Hong , Liu Li , Xiao Lushan 
Published: July 2023

Abstract
Background & Aims: Metabolic associated fatty liver disease (MAFLD) affects about a quarter of the world's adults, and screening out the high-risk population with at an early stage is a challenge. As a sarcopenia index, the relationship between creatinine to cystatin C ratio (CCR) and MAFLD remains unclear. This cross-sectional, prospective study aimed to explore the relationship between CCR and MAFLD.
Methods: This study included 368,634 participants from the UK Biobank for cross-sectional and prospective analyses. MAFLD was diagnosed according to international expert consensus, and mild and severe liver fibrosis were defined by FIB-4. Univariate and multivariate logistic regression analyses were used to calculate odds ratios (ORs) to evaluate the association between CCR levels and MAFLD. Cox regression models were used to determine the association between CCR and MAFLD-related severe liver disease (SLD).
Results: We grouped the study participants according to CCR tertiles. In cross-sectional and prospective analyses, participants in CCR tertile 1 had the highest MAFLD risk (OR 1.075, 95%CI 1.058-1.093, P<0.001, and OR 1.340, 95%CI 1.077-1.669, P=0.009). In males, CCR was significantly associated with severe liver fibrosis (OR 1.657, 95%CI 1.476-1.859, P<0.001). Cox analyses showed that participants in CCR tertile 1 had the highest risk of MAFLD-related SLD (HR 4.23, 95%CI 3.54-4.05, P<0.001), and the SLD cumulative incidence during follow-up was obviously higher than others.
Conclusion: Our results indicated that lower CCR was significantly associated with higher risk of MAFLD. Moreover, CCR can predict the risk of MAFLD-related SLD and severe liver fibrosis, which can potentially be used as a large-scale non-invasive tool to dynamically monitor the occurrence and development of MAFLD.
Association between blood glucose control and risk factors of latent tuberculosis in the population with diabetes: Results from the National Health and Nutrition Examination Survey (NHANES) 2011–2012
Authors: Feng Yanmei , Tang Dezhu , Tang Li , Chen Xi , Yi Guangzhao , Jia Jinwei , Wang Pu , Guo Rui 
Published: July 2023

Abstract
Background
Diabetes has been conferred an increased risk of latent tuberculosis infection. However, the level of blood glucose control and associated risk factors for latent tuberculosis infection in diabetes population is poorly understood. This study aimed to determine the relationship between blood glucose control and the risk factors for latent tuberculosis infection (LTBI) in individuals with diabetes mellitus (DM) using the National Health and Nutrition Examination Survey datasets.
Methods
The association between blood glucose control and LTBI in patients with DM were investigated with logistic regression analysis. Additionally, covariates such as gender, age, education level, and ethnicity were also included in the analysis.
Results
A total of 2489 patients were included in this study, of which 76.3% were Non-Hispanic White, Black and Asia. 231 participants were positive with LTBI. Multivariable analysis demonstrated that the poor blood glucose control exhibited a 150% greater risk of LTBI in DM population. Besides, female gender in DM population would less likely occurring LTBI in DM population (AOR: 0.71, 95%CI: 0.55–0.91, P = 0.006). Meanwhile, with age increased, the risk of LTBI gradually raised. Comparing to patients aged 18 to 45 years old, the prevalence of LTBI in elderly more than 70 years old was much higher (AOR: 3.16, 95%CI: 2.11–4.74, P < 0.001). Furthermore, the ethnicity was also associated with LTBI in DM population. Non-Hispanic White and Black population with DM were less likely developing LTBI.
Conclusions
The findings of this study highlight the association between poor blood glucose control and the prevalence of LTBI in patients with DM. Furthermore, male, aging, and ethnicity were independent risk factors for LTBI in the DM population.
Machine Induced Dynamic Field Responses of Group Pile with Different Pile Arrangements
Authors: Kumar Sumit , Choudhary Shiva Shankar , Burman Avijit 
Published: July 2023

Abstract
The main objective of the current investigation is to study the dynamic behaviour of a 3-pile group with two different arrangements of pile setups under coupled (horizontal and rocking) excitations. To accomplish this objective, machine-induced field excitation tests are conducted on small-scale hollow steel piles. The 3-pile group is driven into the ground in a triangular arrangement with 3d spacing. Two different soil-pile setups, i.e., Pile Group-I and Pile Group-II, are created based on dynamic force directions. In the case of Pile Group-I, the forces are applied to the direction of the median of the triangle, and for Pile Group-II, the forces are applied to other directional loads. From the test results, it is found that the resonant peaks of horizontal and rocking amplitudes for Pile Group-I are lower than Pile Group-II. In the case of resonant frequencies, the values of Pile Group-I are observed to be the same or a little bit higher as compared to Pile Group-II. It is found that the dynamic soil-pile-soil interaction effect is more prominent for Pile Group-II than for Pile Group-I. For numerical investigation, the continuum approach method is utilised with the inclusion of a dynamic group interaction factor to predict the dynamic coupled responses in terms of frequency and amplitude for these two soil-pile setups. To understand the behaviour of pile groups, boundary zone parameters and variations of impedance parameters (stiffness and damping) with operating frequencies are also measured using this theoretical approach.
Contamination reduction of vegetable oil refinery wastewater using innovative acid and basic chemical flotation processes
Authors: Hartal Oussama , Souabi Salah , Chatoui Mohamed , Ettaloui Zineb , Madinzi Abdelaziz , Rifi Safaa Khattabi , Kurniawan Tonni Agustiono , Anouzla Abdelkader 
Published: July 2023

Abstract
Vegetable oil refineries produce a large amount of wastewater, creating several environmental problems that threaten aquatic life. These wastewaters present significant challenges for treatment techniques due to their high and complex pollution characteristics. This study presents the application of flotation processes in acid medium or basic medium of vegetable oil refinery wastewater to reduce turbidity, oil, grease, chemical oxygen demand (COD), and phosphorus total, polyphenols, nitrates, phenolic compounds measured at 254 nm and color. Application of acid flotation reduced turbidity (96.9%), COD (79%), nitrate (97.8%), total phosphorus (99.8%), polyphenol (86.6%), absorbance at 254 nm (90.8%), oil and grease (98.5%) and color (96.6%). However, the application of basic flotation showed a reduction in turbidity (25.7%), COD (37.5%), nitrates (91.6%), total phosphorus (88%), polyphenols (66.3%), absorbance at 254 nm (64.7%), oil and grease (68.8%) and color (73.9%). Therefore, this flotation process in an acidic or basic medium can be considered among the most effective processes for reducing wastewater pollution from vegetable oil refineries.
‘Sand Types’: A new physico-chemical classification of sand and its mapping using conditional strings in ArcGIS10.x
Authors: AC Dinesh A.C. , NV Nisha N.V. , Pillai Rachna 
Published: July 2023

AbstractThe economic viability of sand in the construction industry depends on its size, shape, shell content, etc. It is imperative to understand the proportions of sand sub-classes and shell content in a sand sediment while planning exploration and mining. The existing sediment classifications (Particle Size Distribution Classifications) based on Sand-Silt-Clay (SSC) or Gravel-Sand-Mud (GSM) of different authors have not addressed these issues and it remains as a gap area till now. Hence, a new physico-chemical classification (‘Sand Types’) of sand that falls in the ‘sand fields’ of Shepard (1954) SSC and Folk (1954) SSC is being proposed. The freeware program ‘Sand Types’ developed for plotting types of sand in the ternary diagram helps to plot the data in a triangular diagram and identify their physico-chemical properties. The program also offers conditional strings that are prepared based on the proposed classification and are coupled with that of SSC classifications. These conditional strings work in ArcGIS 10.x platform for the preparation of sediment distribution maps with meaningful information. This would enable construction industry/end-users to plan and execute detailed exploration and mining programs at great ease.
In Situ Brain Tumor Detection Using the Raman Spectroscopy Sentry System – Results of a Multicenter Study
Authors: Leblond Frédéric , Ember Katherine , Dallaire Frédérick , Plante Arthur , Sheehy Guillaume , Guiot Marie-Christine , Agarwal Rajeev , Yadav Rajeev , Douet Alice , Selb Juliette , Tremblay Jean-Philippe , Dupuis Alex , Marple Eric , Urmey Kirk , Rizea Caroline , Harb Armand , McCarthy Lily , Schupper Alexander , Umphlett Melissa , Tsankova Nadejda , Hadjipanayis Constantinos , petrecca Kevin 
Published: July 2023

Abstract
Safe and effective brain tumor surgery aims to remove tumor tissue, not non-tumoral brain. This is a challenge since tumor cells are often not visually distinguishable from peritumoral brain during surgery. To address this, we conducted a multicenter study testing whether the Sentry System could distinguish the three most common types of brain tumors from brain tissue in a label-free manner. The Sentry System is a new real time, in situ brain tumor detection device that merges Raman spectroscopy with machine learning tissue classifiers. Nine hundred and eighty-five in situ spectroscopy measurements and colocalized tissue specimens were acquired from 67 patients undergoing surgery for glioblastoma, brain metastases, or meningioma to assess tumor classification. The device achieved diagnostic accuracies of 91% for glioblastoma, 97% for brain metastases, and 96% for meningiomas. These data show that the Sentry System discriminated tumor containing tissue from non-tumoral brain in real time and prior to resection.
Chaotic spindles causes abnormal chromosome behavior in an interspecific sexual hybrid of Urochloa
Authors: Sales Gabriel Luiz de Melo , Valle Cacilda Borges do , Mendes Andréa Beatriz Diverio 
Published: July 2023

Abstract
Intra- and interspecific hybridization in the genus Urochloa is complex due to apomixis and polyploidy. Such barriers can be overcome by crossing apomictic tetraploid plants as pollen donors with artificial tetraploid sexual plants as female parents. Another barrier is the incompatibility between the genomes of the different species used in hybridization. Since the meiotic behavior is a good indication of affinity between genomes in a hybrid, the present study analyzed the meiotic behavior of a sexual polyploid interspecific hybrid of Urochloa from the breeding program at Embrapa Beef Cattle. In addition to the segregational abnormalities associated with polyploidy, cytological studies revealed that, after diakinesis, chromosomes presented an abnormal arrangement in the metaphase plate. In 31.33% of meiocytes, chromosomes were organized into more than one plate, forming up to four metaphase plates. Another abnormality observed in 5.72% of the cells was the lack of convergence of chromosomes to the equatorial plate and consequent abnormal anaphase segregation. These abnormalities led to the formation of several nuclei within the same myocyte then separated by an irregular cytokinesis pattern, forming tetrads with micronuclei, microcytes and polyads. This pattern of behavior seriously compromises the formation of viable gametes, which may later affect the generation of fertile hybrids thus impairing the use of this hybrid as a female parent.
Association of renin–angiotensin–aldosterone system inhibitors with paclitaxel-induced peripheral neuropathy
Authors: Ihara Yasutaka , Sawa Kenji , Imai Takumi , Kimura Tetsuya , Otani Miho , Kawai Ryota , Takatori Shingo , Shintani Ayumi 
Published: July 2023

Abstract
Purpose
Chemotherapy-induced peripheral neuropathy (CIPN) has been reported to reduce patients’ quality of life and impair cancer treatment by causing anticancer drug withdrawal or interruption. However, there are currently no effective methods for the prevention of CIPN. Renin–angiotensin–aldosterone system (RAAS) inhibitors may be associated with a reduced risk of developing oxaliplatin-induced peripheral neuropathy, and it would be valuable to examine whether they have the same effect on CIPN caused by other anticancer drugs. Our study explored the potential preventive effects of RAAS inhibitors on preventing paclitaxel-induced peripheral neuropathy (PIPN).
Methods
An exploratory cohort study was conducted using commercially available administrative claims data on lung cancer patients treated with paclitaxel-based chemotherapy. Cumulative paclitaxel doses, RAAS inhibitor prescriptions, and incidences of PIPN were identified using patient medical records. Fine–Gray analyses with death as a competing risk were performed. A propensity score approach was applied to address the problem of confounding.
Results
Patients with lung cancer who received paclitaxel-based chemotherapy were classified into the RAAS inhibitor group (n=1,320) and non-RAAS inhibitor group (n=4,566). The doses of RAAS inhibitors in our study were similar to those commonly used to treat hypertension. The PIPN incidence was significantly lower in the RAAS inhibitor group than in the non-RAAS inhibitor group (sub-distribution hazard ratio, 0.871; 95% confidence interval, 0.789–0.961). The result was consistent in various sensitivity analyses and important subgroup analyses.
Conclusions
RAAS inhibitors at doses commonly used for hypertension were associated with a reduced incidence of PIPN in patients with lung cancer.
Ursolic acid inhibits the growth of colorectal cancer cells through regulating the PKN2/Akt/ERK pathway by targeting SNTB1
Authors: Lu Wen , Liu Liya , Lin Xiaoying , Liu Huixin , Shen Aling , Wei Lihui , Sferra Thomas J. , Chen Youqin , Li Li 
Published: July 2023

Abstract
Background
Colorectal cancer (CRC) is one of the most highly malignant tumors. Ursolic acid (UA) has been identified to exerts anti-CRC effects through the regulation of multiple genes and signaling pathways. Syntrophin beta 1 (SNTB1) has been implicated to have the potential as a new prognostic factor and therapeutic target for CRC. We wondered whether UA exert anti-CRC effects by regulating SNTB1 expression.
Methods and Results
CCK8 assay and colony staining was conducted to determine the cell viability and colony formation of Human CRC cell line HCT116. Lentiviral infection was employed for SNTB1 knockdown and overexpression. Western blot analysis was performed to detect the protein expression. The result shown that UA significantly inhibited cell viability and downregulated SNTB1 expression while upregulating PKN2 expression. It also decreased the ratios of p-Akt/Akt and p-ERK/ERK. UA significantly promoted the decrease of cell viability and colony formation in HCT116 cells with SNTB1 knockdown, the upregulation of PKN2 protein expression, and the downregulation of the p-Akt/Akt and p-ERK/ERK ratios. On the other hand, UA significantly inhibited the increase of cell viability and colony formation in HCT116 cells with SNTB1 overexpression, the downregulation of PKN2 protein expression, and the upregulation of the p-Akt/Akt and p-ERK/ERK ratios.
Conclusion
Take together, UA inhibits CRC cell growth may through regulating the PKN2/Akt/ERK pathway by targeting SNTB1. This study enriches the mechanisms underlying the anticancer effects of UA in CRC and provides new evidence for UA as a potential anti-CRC agent.
Contribution to the Anatomical Nomenclature Concerning Anterolateral Knee Anatomy
Authors: Yilmaz Niymet Pelin Cavdar , Comert Ayhan , Acar Halil İbrahim , Kachlik David 
Published: July 2023

Abstract
Purpose
The aim of present study is to extend the sections of Terminologia Anatomica (TA) concerning anterolateral knee structures and reveal the clinical, educational and sceintific importance of using that newly proposed anatomical terms.
Methods
Anatomical terms were gathered both from anatomical textbooks and journals. Samples were compared with the last addition of the official Latin anatomical nomenclature. Proposed terms have indicated on a black and white picture and cadaveric dissection photographs from archive.
Results
The authors proposed 12 new terms which are often used clinical medicine, textboks and scientific articles. Those terms were summarised and are presented with their definitions and explanations on behalf of constant and variable morphological structures.
Conclusions
There are numerous studies according to anterolateral complex of knee in the literature. Consideration of clinical importance and increasing remarks in literature, the potential of the proposed anatomical terms should be discussed concerning for adding into the next addition of the TA.
A survey of sentiment analysis methods based on graph neural network
Authors: Rad Razieh Abedi , Yamaghani Mohammad Reza , Nourbakhsh Azamossadat 
Published: July 2023

Abstract
Sentiment analysis is an active research field as one of the most popular tasks of natural language processing, which aims to extract valuable information from various social platforms and extensive online texts to process and find people's attitudes in business and advertising, government, economic fields, and even political orientations. Hence, researchers have made many efforts in this field, which mainly refer to traditional approaches based on dictionaries, machine learning, and deep learning models. Graphs as a robust and interpretable data structure have been considered for applications of artificial intelligence models such as machine vision and natural language processing which are used for learning non-structured data like text or images. Although deep learning methods have achieved promising results in this field, due to problems such as assigning indecisive weights and high dimensions in feature extraction stages, they are still a “black box.” Meanwhile, graph neural networks (GNNs) are a particular type of deep neural network that are interpretable and flexible. Their adaptability in solving complex problems in data analysis with a graph structure has made them one of the most efficient methods in the last decade. Considering the large amount of textual information in social media and various online platforms, sentiment analysis or opinion mining aims to help marketing strategies for business owners and awareness of the attitude of public opinion in governments has become one of the crucial issues in today's modern societies. This comprehensive review focuses on GNN-based approaches in sentiment analysis and summarizes the recent state-of-the-art in this area. Also, we discussed their weaknesses and strengths, and challenges on specific datasets. Our goal is to show the development process and the potential of GNN-based approaches in different problems of sentiment analysis compared to previous methods and to help find more effective directions for researchers interested in this field.