bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of geographic location and physiochemical characteristics on the cryoconite prokaryotic communities from the Arctic, Antarctic, and Central Caucasus regions
Authors: Gladkov Grigory V. , Kimeklis Anastasiia K. , Tembotov Rustam H. , Ivanov Mikhail N. , Andronov Evgeny E. , Abakumov Evgeny V. 
Published: September 2023

Abstract
Cryoconites are the deposits on the surface of glaciers that create specific ecological niches for the development of microorganism communities. The sediment material can vary in origin, structure, and nutrient content, creating local variations in the growth conditions. An additional factor of variability is the location of the glaciers, as they are found in different climatic zones in the high mountain regions and closer to the poles. Here we studied the common and specific features of the microbial communities from five glaciers representing different parts of the world, including the Arctic (Mushketova in Severnaya Zemlya, IGAN in Polar Ural), Antarctic (Pimpirev on Livingstone Island) and Caucasus (Skhelda und Garabashi in Central Caucasus), with the latter being presented for the first time. According to the chemical parameters of the cryoconites, each region had specific properties: Arctic cryoconites had higher nitrates values and microelements content, Antarctic - organic carbon, ammonium, and potassium, Caucasus - alkaline pH and high phosphorus content. Analysis of data from high-throughput sequencing of the 16S rRNA gene showed that although cryoconite microbiomes are composed of similar bacterial phyla (Pseudomonadota, Cyanobacteria, Bacteroidota, Acidobacteriota, and Actinobacteriota), at a low taxonomic level they are highly diverse: only several common phylotypes were identified for all glaciers. The WGSNA analysis revealed three groups of microorganisms, that significantly change their abundance corresponding with three geographical locations and chemical parameters of cryoconites. Our work demonstrates that cryoconite creates a specific ecological niche that facilitates the growth of predominantly autotrophic microorganisms, but local factors and physical isolation create specific patterns for each of such diversity hotspots.
Small artifacts among the hunter-gatherers of the southern La Plata Basin
Authors: Acosta Alejandro , Buc Natacha , Rombolá Lucía T. , Loponte Daniel 
Published: September 2023

Abstract
Small artifacts and miniatures are reduced objects that can be connected to rituals, children’s activities and small game. Material correlates can be established for these different hypotheses. In the southern end of the La Plata basin, small artifacts were recovered from different late Holocene hunter-gatherer archaeological sites, but the functional explanation is not clear. The aim of this paper is to discuss the presence of small artifacts in the regional record from the regular morphological groups of harpoon heads, atlatl hooks, lithic spheroids, and labrets. Firstly, we statistically evaluate the metrical structure of the complete sample to identify small size outliers. Secondly, we analyze the physical, morphological, and functional structure of the small artefacts to discuss if they segregate from the regular sample in other properties rather than only the size. The results show that a reduced number of artifacts are segregated from the regular sample, although variability among morphological groups is noticed in the raw material and use-wear patterns. In the case of harpoons and atlatl hooks, variable behaviors are recorded where children’s use is a possibility, but raw material mediated strategies and recycling of tools cannot be discarded. Labrets were intended for small people; and a lithic spheroid could have been made by a novice. Although no conclusive statement can be done because of the multiple nature of the archaeological record, our interpretations constitute a first approximation to the presence of children in the hunter-gatherer societies under study, which must be confronted through new studies and samples.
Observational study of behavioral disturbance in children with developmental disorder under general anesthesia
Authors: Tsukamoto Masanori , Nishimura Rei , Goto Maho , Matsuo Kazuya , Yokoyama Takeshi 
Published: September 2023

Abstract
Objective
Anxiety and fear due to the unknown, and separation from parents are common emotions that children experience when faced with the need for dental treatment. In children with developmental disorders (DD), we hypothesized that a more anxious state, resulting in poor cooperation, might be associated with negative behavioral changes after general anesthesia. In this study, we assessed the perioperative behaviors of children with and without DD.
Methods
Patients (1–6 yrs) undergoing elective dental treatment were divided into two groups: children with DD and those without DD using inhalational anesthetics such as sevoflurane or isoflurane. The following data were collected prospectively: the modified Yale Preoperative Anxiety Scale (m-YPAS) 1 at the preoperative consultation, m-YPAS 2 at induction of anesthesia, the occurrence of emergence agitation (EA), and the Pediatric Anesthesia Emergence Delirium (PAED).
Results
The m-YPAS 1 and 2 scores of children with DD were significantly higher than those of children without DD (p<0.05). The occurrence of EA after isoflurane anesthesia in children with and without DD was significantly lower than that after sevoflurane anesthesia (P<0.01). However, after sevoflurane anesthesia, children with DD showed no significant difference in EA compared with children without DD (p=0.13). After isoflurane anesthesia, children with and without DD showed no significant differences (p= 1.00). For both inhalational anesthetics, PAED also showed no significant difference between children with and without DD after sevoflurane anesthesia (p=0.50) and isoflurane anesthesia (p=0.47).
Conclusion
Isoflurane suppressed EA more effectively than sevoflurane in children. After general anesthesia, however, no significant differences were observed between children, although children with DD showed significant behavioral disturbances.
Clinical relevance
We provided it was important to pay special attention to children with DD during preoperative and induction of anesthesia. Isoflurane suppressed emergence agitation more effectively.
Trial registration
This prospective observational study was approved by the Ethics Committee of Kyushu University Hospital (#24034) and registered with the UMIN Clinical Trials Registry (UMIN000034094).
Fragility curves for stone arch bridges by incremental dynamic analysis method and using DEM
Authors: Mehrbod Amirhossein , Behnamfar Farhad , Aziminejad Armin , Hashemol-hosseini Hamid 
Published: September 2023

Abstract

One of the most important tools for determining the vulnerability of structures to earthquakes is use of fragility curves. Considering the importance of existing masonry arch bridges in transportation networks, in this research, the process of determining the fragility curve by the analytical method through using the discrete element method (DEM) is discussed. The seismic behavior of two railway bridges is investigated using the incremental dynamic analysis method (IDA). Bridge A is smaller and is totally 66.7 m long and has four similar arches spanning 12 m each. Bridge B is the larger bridge, with a length of 160 m. It has a large central arch span of 48.6 meters and a height of 22.8 meters. By introducing an appropriate number of control points in the bridge body, the seismic response of the bridges are obtained. By examining the IDA curves and status of damage in the bridges, the performance criteria for immediate occupancy (IO), life safety (LS), and collapse prevention (CP) limit states have been determined. The fragility curves of the bridges are calculated for the above three limit states. The results show that both bridges require seismic strengthening for the IO performance level with a probability greater than 90%. Also In the event of design earthquake, larger bridge will not be safe with a probability of more than 50% for the LS limit state, and the probability of exceedance the CP limit state for bridge A is 12% and bridge B is 32%.
BrainNet: A Unified Neural Network Architecture for Brain Image Classification
Authors: Ghosh Sudip , _ Deepti , Gupta Shivam 
Published: September 2023

Abstract
Accurate and timely diagnosis is critical for effective medical intervention in brain-related diseases, including Brain Tumors and Alzheimer's. Most current state-of-the-art (SOTA) approaches in medical imaging focus on diagnosing a single brain disease at a time. However, recent research has unveiled the intricate connections between various brain diseases, with the realization that treating one condition may lead to the development of others. Consequently, there is a growing need for accurate diagnostic systems that address multiple brain-related diseases. However, training separate models for different diseases can impose substantial computational overhead. To address this challenge, our paper introduces BrainNet, an innovative neural network architecture explicitly tailored for classifying brain images. Our primary objective is to propose a single, robust framework capable of diagnosing a spectrum of brain-related diseases. We present a comprehensive validation of BrainNet's efficacy, specifically in diagnosing Brain Tumors and Alzheimer's disease. Remarkably, our proposed model workflow surpasses the current state-of-the-art (SOTA) methods, demonstrating a substantial enhancement in accuracy and precision. Furthermore, it maintains a balanced performance across different classes in the Brain Tumor and Alzheimer's dataset, emphasizing the versatility of our architecture for precise disease diagnosis. Thus, this paper marks a significant stride toward a unified solution for diagnosing diverse brain-related diseases
Construction and validation of a novel disulfidptosis-related lncRNA signature for prognostic prediction in lung adenocarcinoma
Authors: Xu Jiayi , Lu Wenzhang , Yang Zheng , Zhou Juan , Cheng Jiaqi , Xu Zikai , Feng Shuya , Tang Zhiyuan , Zhou Xiaoyu 
Published: September 2023

Abstract

Disulfidptosis is a novel type of cell death caused by disulfide stress and is distinct from other known forms of cell death, including cuproptosis, ferroptosis, pyroptosis, necroptosis, and apoptosis. Transcriptome data and clinical information of 503 LUAD patients was extracted from The Cancer Genome Atlas (TCGA) database. A nomogram was constructed with the risk score based on the expression levels of the 4 disulfidptosis-associated lncRNAs and the clinical characteristics and was according to the results from the univariate and multivariate Cox regression, minimal absolute contraction, and least absolute shrinkage and selection operator (LASSO) regression analyses.Differences in the tumor immune microenvironment (TIME), tumor mutation burden (TMB), and chemotherapeutic treatment sensitivity were compared between the high- and low-risk LUAD patients. LncRNA ARRDC1-AS1 was highly expressed in the LUAD cell lines (A549 and H1299) compared to the BEAS2B cell line (normal lung epithelial cells). Knockdown of ARRDC1-AS1 significantly reduced in vitro proliferation, migration, and invasiveness of A549 cells. LncRNA ARRDC1-AS1 is a promising prognosis prediction biomarker and a therapeutic target in LUAD.
The Lifesaving Impact of Transcatheter Interventions in the Early Post-Fontan Palliation Period
Authors: Demir Ibrahim Halil , Ozdemir Dursun Muhammed , Yucel Ilker Kemal , Yılmaz Emine Hekim , Bulut Mustafa Orhan , Surucu Murat , Korun Oktay , Aydemir Numan Ali , Celebi Ahmet 
Published: September 2023

Abstract
Mortality following Fontan surgery has significantly decreased; however, postoperative morbidity rates remain high and can lead to unfavorable outcomes. Early post-Fontan pathway obstructions can result in persistent pleural effusion, cyanosis, and low cardiac output syndrome (LCOS). Transcatheter interventions can be employed as an alternative to early re-surgery for their treatment. Over a 13-year study period, early (<30 days) transcatheter interventions were performed on 37 (10.4%) of 344 patients who underwent Fontan surgery. Case notes and procedure records were retrospectively reviewed. Among them, 33 patients were treated solely with transcatheter procedures, while 3 were lost during early ICU follow-up. 30 patients were successfully treated with purely transcatheter methods and were discharged. After left pulmonary artery (LPA) balloon angioplasty, one patient required emergency surgery. In another case, LPA stent implantation resulted in thrombosis followed by localized tissue plasminogen activator (TPA) administration and subsequent middle cerebral artery (MCA) stroke. In four cases, transcatheter interventions were inadequate, necessitating early re-surgery, of which two patients died. The median age at Fontan operation was 4.8 (IQR:4-9.4) year, with a median weight of 16.5 (IQR:15-25.2) kg. Among the 23 patients with persistent pleural effusion/ascites, transcatheter procedures; fenestration dilatation in 14 patients, LPA stent placement in 7 patients, right pulmonary artery (RPA) stent placement in 4 patients, occlusion of aortopulmonary (AP) collaterals in 5 patients. All 8 patients diagnosed with LCOS underwent fenestration dilation. Procedural mortality was not observed. Early post-Fontan transcatheter interventions appear safe and effective.
HNRNPA2B1 regulates hypoxia-related tumor angiogenesis in hilar cholangiocarcinoma through exosomal miR-155-5p
Authors: Ma Lixing , Li Xiaojing , Zhao Haiyu , Han Zuo , Wang Yidi , Zang Jinfeng 
Published: September 2023

Abstract
Cancer-cell-secreted miRNAs (miRs) can be packaged into exosomes and are implicated in different aspects of tumor angiogenesis. HNRNPA2B1, as a RNA binding protein, participates in exosomal genesis and cargo sorting. However, little is known about whether HNRNPA2B1 is involved in the exosomal miR sorting process and tumor angiogenesis in hilar cholangiocarcinoma (HCCA) cells under hypoxia. Bioinformatics analysis of miRs in the exosomes secreted by hypoxic HCCA cells demonstrated that miR-155-5p was the miR associated with angiogenesis and bound most effectively to HNRNPA2B1. RNA immunoprecipitation (RIP) revealed that the amount of miR-155-5p bound to HNRNPA2B1 in HCCA cells under hypoxia was 1.43 times higher than that under normoxia. qRT-PCR showed that exosomal miR-155-5p expression was reduced by 66.4% in the HNRNPA2B1 knockdown group (KD) compared with the negative control (NC) group; however, cellular miR-155-5p expression did not differ significantly between the groups. Tube formation assays were used for studying the effect of HNRNPA2B1 and exosomal miR-155-5p on angiogenesis in the hypoxic HCCA cells. Western blotting showed that expression of VEGF-A in HUVECs was consistent with fluctuation in the tube formation assays. In conclusion, HNRNPA2B1 is involved in exosomal miR-155-5p sorting in HCCA cells under hypoxia and can promote tumor angiogenesis via the exosomal miR-155-5p.
SQSTM1/p62 as a prognostic marker promotes the progression of gastric cancer through epithelial-mesenchymal transition
Authors: Xu Yan , Zhu Chenglou , Ji Dandan , Wu Qiong , Peng Lingzhi , Bai Pengwei , Bai Zhaozhao , Da Mingxu 
Published: September 2023

Abstract
Background
SQSTM1/p62 is an autophagy-related receptor protein that participates in regulating tumorigenesis and multiple signaling pathways. Gastric cancer is a common tumor in the digestive tract and continues to pose a significant threat to human health. Therefore, this study aims to investigate the impact of p62 on gastric cancer.
Methods
Immunohistochemistry and Western blotting were employed to assess the expression level of the p62 protein in gastric cancer tissues and its correlation with prognosis. Subsequently, in vitro cell experiments were conducted to determine the role of p62 in gastric cancer cell proliferation, migration, and metastasis.
Result
The expression of p62 in gastric cancer tissues was significantly higher than in normal tissues. The expression of p62 was positively correlated with poor prognosis in gastric cancer patients. In vitro cell experiments indicated that p62 promotes gastric cancer cell proliferation and migration. Mechanistically, elevated p62 expression induced epithelial-mesenchymal transition (EMT), leading to upregulation of E-cadherin and downregulation of N-cadherin and vimentin.
Conclusion
This study provides novel and robust evidence for the mechanism by which elevated p62 expression promotes the progression of gastric cancer. It offers promising therapeutic targets for anti-tumor treatment strategies in gastric cancer patients.
Unifying Optimization Forces: Harnessing the Fine-Structure Constant in an Electromagnetic-Gravity Optimization Framework
Authors: Akhtar Md. Amir Khusru , Kumar Mohit , Verma Sahil , Cengiz Korhan , Verma Pawan Kumar , Khurma Ruba Abu , Castillo Pedro A. 
Published: September 2023

Abstract
The Electromagnetic-Gravity Optimization (EMGO) framework is a novel optimization technique that integrates the Fine-Structure Constant and leverages electromagnetism and gravity principles to achieve efficient and robust optimization solutions. Through comprehensive performance evaluation and comparative analyses against state-of-the-art optimization techniques, EMGO demonstrates superior convergence speed and solution quality. Its unique balance between exploration and exploitation, enabled by the interplay of electromagnetic and gravity forces, makes it a powerful tool for finding optimal or near-optimal solutions in complex problem landscapes. The research contributes by introducing EMGO as a promising optimization approach with diverse applications in engineering, decision support systems, machine learning, data mining, and financial optimization. EMGO's potential to revolutionize optimization methodologies, handle real-world problems effectively, and balance global exploration and local exploitation establishes its significance. Future research opportunities include exploring adaptive mechanisms, hybrid approaches, handling high-dimensional problems, and integrating with machine learning techniques to further enhance its capabilities. EMGO gives a novel approach to optimization, and its efficacy, advantages, and potential for extensive adoption open new paths for advancing optimization in many scientific, engineering, and real-world domains.
Genome-Wide Association Study for Leaf Photosynthesis Using High-Throughput Gas Exchange System in Rice
Authors: Honda Sotaro , Imamura Ayumu , Seki Yoshiaki , Chigira Koki , Iwasa Marina , Hayami Kentaro , Nomura Tomohiro , Ohkubo Satoshi , Ookawa Taiichiro , Nagano Atsushi J. , Matsuoka Makoto , Tanaka Yu , Adachi Shunsuke 
Published: September 2023

Abstract
Enhancing leaf photosynthetic capacity is essential for improving yield of rice (Oryza sativa L.). The exploitation of natural genetic variation is a promising approach to enhance photosynthetic capacity, as well as molecular engineering approaches. However, genetic resources have yet to be efficiently used in breeding programs, partially due to the low-throughput of photosynthetic measurements. Here we examined the diversity of photosynthetic rates among 168 temperate japonica rice varieties at the vegetative stage for three years with the newly developed rapid closed-gas exchange system, MIC-100. The data showed a large genetic variation in net CO2 assimilation rate (A) between the varieties. The modern varieties exhibited higher A relative to the landraces, while there was no significant relationship between the released year and A among the modern varieties. Genome-wide association study (GWAS) revealed two major peaks located on chromosomes 4 and 8 which were repeatedly detected in different experiments and in the generalized linear modeling approach. We suggest that the high-throughput gas exchange measurement combined with GWAS is a reliable approach for understanding genetic mechanisms in photosynthetic diversities in crop species.
Arginine promotes angio-osteogenesis by attenuating oxidative stress-induced bone loss and ameliorating mitophagy
Authors: Shen Yang , Wang Haoming , Xie Hongwei , Ma Qingliang , Wang Shiyu , Yuan Putao , Xue Hong , Hong Huaxing , Fan Shunwu , Xu Wenbin , Xie Ziang 
Published: September 2023

Abstract
Osteoporosis is one of the most common bone diseases in middle-aged and elderly populations worldwide. Development of new drugs to treat the disease is a key focus of research. Current treatments for osteoporosis mainly directed at promoting osteoblasts and inhibiting osteoclasts. However, there is currently no ideal approach for osteoporosis treatment. Arginine is a semi-essential amino acid that is involved in numerous biological processes. Several studies have demonstrated its effects on NO production, protein biosynthesis, and immune responses. In this study, the specific effect of arginine on osteoporosis was explored. We found that arginine attenuates bone loss in aged mice. Indeed, arginine was found to promote osteogenesis and angiogenesis in these animals. Moreover, we showed that arginine can increase the activity of vascular endothelial cells and promote osteogenesis, whereas it inhibited adipogenesis in vitro. In addition, we found an effect of arginine on mitochondria in osteoblast-lineage and endothelial cells. Specifically, arginine altered the expression of PINK1/Parkin or Bnip3 in mitochondria of these cells, thereby promoting mitophagy, and protecting cells from ROS. Similarly, arginine treatment effectively ameliorated osteoporosis in an ovariectomized mouse model. In conclusion, arginine supplementation might be an effective therapy in the treatment of osteoporosis.
Enhancing Option Pricing Accuracy in theIndian Market: A CNN-BiLSTM Approach
Authors: Sharma Akanksha , Verma Chandan Kumar , Singh Priya 
Published: September 2023

Abstract
Due to overly optimistic economic and statistical assumptions, the classical option pricing model frequently falls short of ideal predictions. Rapid progress in Artificial Intelligence, the availability of massive datasets, and the rise in computational power in machines have all created an environment conducive to the development of complex methods for predicting financial derivatives prices. This study proposes a hybrid deep learning (DL) based predictive model for accurate and prompt prediction of option prices by fusing a one-dimensional Convolutional Neural Network (CNN) and a Bidirectional Long Short-Term Memory (BiLSTM). A set of 15 predictive factors is carefully built under the umbrella of fundamental market data and technical indicators. Our proposed model is compared with other DL-based models using six evaluation metrics–Root Mean SquareError (RMSE), Mean Absolute Percentage Error (MAPE), Mean Percentage Error (MAE), Determination Coefficient ($R^2$), Maximum Error and Median Absolute Error(MedAE). Further, statistical analysis of models is also done using one-way ANOVA and posthoc analysis using the Tukey HSD test to demonstrate that the CNN-BiLSTM model outperforms competing models in terms of fit and prediction accuracy.