bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tuneable spectrometer for submillimeter astronomy based on silicon Fabry-Perot, preliminary results
Authors: Tollet Timothée , Rodriguez Louis , Revéret Vincent , Poglitsch Albrecht , Dussopt Laurent , Aliane Abdelkader , Delisle Cyrille , Goudon Valérie , Lasfargues Gilles 
Published: November 2023

Abstract

We are studying and developing high performance spectroscopy solutions in silicon technology in the framework of the instrumental developments around the B-BOP bolometer arrays [1] and in the continuity of the former developments of the Herschel space telescope instruments and in particular its PACS instrument [2]. The integration of multi-wavelength spectroscopic capabilities close to the array of a cooled bolometer would make it possible to detect the interstellar medium (ISM) continuum by scanning and to trace its evolution in particular by the detection of characteristic lines such as the cooling line [CII] at 158µm.
In this paper, we present the first concept under development and the preliminary results obtained in our cryogenic optical test bench. This solution is a tunable cavity Fabry-Perot (FP) with silicon mirrors driven by a cryogenic piezoelectric mechanism with a nanometric step. Each mirror is a dielectric Bragg structure, a stack of quarter-wave layers of silicon and air providing a high reflectivity without metal losses. This solution allows extremely accurate scanning around a targeted wavelength. The first prototype is a relatively bulky proof of concept and future optimizations will allow it to be adapted to a focal plane array.
Nelfinavir Inhibition of Kaposi’s sarcoma-associated herpesvirus protein expression and capsid assembly
Authors: Li Maggie , Smith Barbara , Lee Jaeyeun , Petr Jennifer , Wiseman Robyn , Anders Nicole , Rudek Michelle , Ambinder Richard , Desai Prashant 
Published: November 2023

Abstract
Background
Antiviral therapies that target herpesviruses are clinically important. Nelfinavir is a protease inhibitor that targets the human immunodeficiency virus (HIV) infections aspartyl protease. Previous studies demonstrated that this drug could also inhibit Kaposi’s sarcoma-associated herpesvirus (KSHV) production. Our laboratory demonstrated nelfinavir can effectively inhibit herpes simplex virus type 1 (HSV-1) replication. For HSV-1 we were able to determine that virus capsids were assembled and exited the nucleus but did not mature in the cytoplasm indicating the drug inhibited secondary envelopment of virions.
Methods
For KSHV, we recently derived a tractable cell culture system that allowed us to analyze the virus replication cycle in detail. We used this system to further define the stage at which nelfinavir inhibits KSHV replication.
Results
We discovered that nelfinavir inhibits KSHV extracellular virus production. This was seen when the drug was incubated with the cells for 3 days and when we pulsed the cells with the drug for 1–5 minutes. When KSHV infected cells exposed to the drug were examined using ultrastructural methods there was an absence of mature capsids in the nucleus indicating a defect in capsid assembly. Because nelfinavir influences the integrated stress response (ISR), we examined the expression of viral proteins in the presence of the drug. We observed that the expression of many were significantly changed in the presence of drug. The accumulation of the capsid triplex protein ORF26 was markedly reduced. This is an essential protein required for herpesvirus capsid assembly.
Conclusions
Our studies confirm that nelfinavir inhibits KSHV virion production by disrupting virus assembly and maturation. Of interest is that inhibition requires only a short exposure to drug. The source of infectious virus in saliva has not been defined in detail but may well be lymphocytes or other cells in the oral mucosa. Thus, it might be that a “swish and spit” exposure rather than systemic administration would prevent virion production.
Visual Search Patterns During Exploration of Naturalistic Scenes are Driven by Saliency Cues in Individuals with Cerebral Visual Impairment
Authors: Walter Kerri , Manley Claire E. , Bex Peter J. , Merabet Lotfi 
Published: November 2023

Abstract

Two main sources of information have been identified to explain what image features guide gaze behavior, namely, image salience (associated with bottom-up processing) and image semantics (influenced by top-down processing). In this study, we compared the relative influence of these two factors while subjects searched for a predetermined target in a naturalistic scene. We also compared visual search performance in individuals with neurotypical development and those with cerebral visual impairment (CVI); a neurodevelopmental condition associated with higher-order visual processing deficits. Participants searched for the prompted target (presented as either an image or text cue) in a series of indoor and outdoor naturalistic scenes. Gaze behavior was recorded with an eye tracker, and behavioral outcomes were success rate, reaction time, visual search area, and number of fixations. A receiver operating characteristic (ROC) analysis was performed to compare the distribution of individual eye gaze patterns based on predictions of image salience (using Graph-Based Visual Saliency) and image semantics (using Global Vectors for Word Representations combined with Linguistic Analysis of Semantic Salience) models. We found that overall, CVI participants were less likely and were slower to find the target than controls. Visual search behavior in CVI was also associated with a larger visual search area and a greater number of fixations. ROC-based analysis revealed that saliency scores were lower in CVI than controls for both the image salience and image semantics model predictions. Furthermore, search strategies in the CVI group were not affected by cue type, although search times and accuracy were correlated with Verbal IQ scores for text-cued searches. Collectively, these results suggest that individuals with CVI do not utilize image or semantic information as readily as controls, in line with their associated deficits related to higher-order processing.
CSF-1R as a metastasis-related gene in nasopharyngeal carcinoma: A bioinformatics screening and immunohistochemistry verification
Authors: Sun Quanquan , Bai Minghua , Peng Chanjuan , Tao Changjuan , Jiang Feng , Liu Tongxin 
Published: November 2023

Abstract
Background: Distant metastasis remains the main reason for treatment failure in nasopharyngeal carcinoma (NPC) after radical treatment. In this study, we aim to identify the key genes related to the metastasis of NPC via bioinformatics analysis and immunohistochemistry verification, so as to provide a potential therapeutic biomarker of metastatic NPC.
Methods: One dataset (GSE149587) from the Gene Expression Omnibus (GEO) database was analysed to screen the differentially expressed genes (DEGs) between nonmetastatic and metastatic NPC plasma. Functional enrichment analysis for DEGs was performed using an online bioinformatics tool. Protein‒protein interaction (PPI) networks were constructed via the STRING database. The hub gene was verified by immunohistochemistry (IHC) assay in NPC samples.
Results: A total of 65 DEGs were screened from the dataset,with 6 downregulatedand 59 upregulatedin NPC plasma samples. Enrichment analysis demonstrated that DEGs were mainly enriched in positive regulation of cytosolic calcium ion concentration, response to hypoxia, cell surface receptor signaling pathway and calcium signaling pathway. The PPI network was established, and one significant module with 9 vital genes was identified via MCODE. Among these nine hub genes, CSF1 and CD4 had the highest node degrees. IHC staining indicated that high expression of receptor of CSF-1, CSF-1R, has a positive correlation with lymph node metastasis, distant metastasis and clinical stage.
Conclusion: The present study indicated that CSF-1R was correlated with metastasis in NPC patients and might be a potential therapeutic biomarker of metastatic NPC.
Optimizing Large Models For Performance And Sustainability Through Evolutionary Pruning
Authors: Islam Ashhadul , Belhaouari Samir Brahim , Bermak Amine 
Published: November 2023

Abstract
The need for network optimization has become become evident when considering the rising computational costs and environmental impact caused by AI models. The substantial carbon footprint and resource consumption of Large Language Models (LLMs) underscore the urgency of optimizing network architectures. These models, with varying parameters, place a significant strain on energy resources, particularly in terms of CO2 emissions and electricity consumption. Achieving a balance between model performance and ecological responsibility is becoming increasingly critical in the era of large-scale AI models.Training and using such models consume substantial amounts of water and power, highlighting the necessity for sleeker, faster, and more efficient model training strategies.
We address a crucial challenge related to the compression of deep neural networks, with the aim of enhancing their suitability for embedded devices. Deep neural networks typically exhibit high space and computational requirements, which can hinder their deployment on edge devices and limit their widespread adoption. This study investigates innovative techniques for pruning neural networks, presenting two distinct strategies, namely, "evolution of weights" and "smart pruning." These novel approaches are systematically compared to conventional pruning methods using established benchmark datasets. The proposed pruning method involves the continuous assessment of parameter importance throughout the training process, employing a weighted average methodology that surpasses the traditional magnitude-based pruning in terms of accuracy preservation during the compression process. The outcomes of this approach include accelerated computations, higher compression rates with minimal accuracy degradation, enhanced resilience against adversarial attacks, and the capacity to train models using smaller datasets. The authors have thoughtfully provided a PyTorch library for broad usage, simplifying the implementation of their approach across various model architectures.
Clinical Study on the Treatment of Paravesical Cysts Combined with Renal Calculi using ureteroscopy with super-pulsed thulium fiber laser
Authors: chen weihao , zou nanxin , cao ben , chen xin , zhang xu , mai haixing 
Published: November 2023

Abstract
Objective
To investigate the safety and feasibility of super-pulsed thulium fiber laser under transurethral flexible ureteroscopy in the treatment of parapelvic cysts combined with renal stones.
Patients and methods
Twelve patients with parapelvic cysts combined with renal stones admitted from October 2022 to May 2023 were treated with super-pulsed thulium fiber laser under transurethral flexible ureteroscopy and internal incision and drainage simultaneously. CT scans were performed at 1, 3, and 6 months postoperative to assess the cysts and stones, respectively.
Results
The mean age of the patients was 61.5 ± 7.5 years. The mean size of parapelvic cysts was 5.6 ± 0.7 cm. The mean size of the renal stones was 15.6 ± 3.2 mm. The mean CT density of all stones was 1,464.9 ± 656.5 HU. All patients underwent successful one-stage surgery without serious complications. The mean operative time was 41.2 ± 9.5 min. The average intraoperative bleeding was 6.7 ± 3.0 mL, and the average hospital stay was 2.0 ± 0.7 d. The postoperative CT reexamination indicated that the stone clearance rate was 100%, with no obvious residual stone, and the parapelvic cysts basically disappeared.
Conclusion
Super-pulsed thulium fiber laser under transurethral flexible ureteroscopy is a safe, feasible, and effective treatment method for parapelvic cysts combined with renal stones, with the advantages of high stone clearance rates and low intraoperative bleeding.
AriaBERT: A Pre-trained Persian BERT Model for Natural Language Understanding
Authors: Ghafouri Arash , Abbasi Mohammad Amin , Naderi Hassan 
Published: November 2023

Abstract
Pretrained language models have made significant progress in natural language processing (NLP), especially for Persian language. Due to the lack of diverse and suitable textual data in Persian language and consequently the absence of efficient pretrained language models, the obtained results in various Persian language tasks have failed to meet user expectations. In this regard, in order to improve the results obtained in various Persian language tasks, this article introduces AriaBert, a pretrained language model, as a state-of-the-art model in the field of Persian language understanding. To have diverse textual data for training the language model, various types of Persian textual data were collected and categorized into three groups: conversational, formal, and hybrid texts, including tweets, news, poems, medical texts, encyclopedia texts, user opinions on websites, and other types of texts. The total volume of the collected training data exceeds 32 gigabytes. In addition to the suitable training dataset, unlike most monolingual and multilingual language models that use the BERT base model, AriaBert utilizes the RoBERTa architecture and the Byte-Pair Encoding tokenizer. To evaluate the performance of AriaBert, this model has been compared with all important monolingual and multilingual Persian language models in various NLP tasks such as classification, sentiment analysis, and stance detection. The results indicate a significant superiority of AriaBert over other competitors in all mentioned language tasks. AriaBert has achieved an average improvement of 3% in sentiment analysis, 0.65% in classification, and 3% in stance detection compared to the best results obtained by other Persian language models.
A combination of Zinc solubilizing bacteria and ZnO nanoparticles alleviates the toxicity of Ag and TiO2 nanoparticles in Mung bean
Authors: Haroon Mahvash , Khan Shams Tabrez , Malik Abdul 
Published: November 2023

Abstract
Zinc-deficiency, a global health challenge affects one-third of the world population. Zinc solubilizing bacteria (ZSB) increases plant vegetative growth, grain’s Zn-content ensuring improved dietary Zn-supply offering an efficient and cost-effective solution. This study aimed at understanding that how the presence of two soil abundant nanoparticles silver and titanium dioxide in the rhizosphere influences the activity of ZSB and plant’s vegetative growth. Two ZSB strains D-7 and D-117 with good zinc solubilization efficiency of 254 and 260%, respectively were used with ZnO-NPs for Zn fortification of Mung bean in the presence of various doses of TiO2 and Ag-NPs. Two sets of pots, were used, one containing ZSB, Mung bean seeds, ZnO-NPs (20 mg kg− 1 soil) and various doses of nanoparticles. ZSB-free pots were used as control. The plants were studied for change in rate of seed germination, vegetative growth (shoot and root length, fresh and dry weight), photosynthetic pigment and Zn-content. Lower dose of nanomaterials (50 and 100 mg kg− 1 soil) slightly promoted the plant growth compared to control. While, higher doses (200 and 400 mg kg− 1 soil) inhibited the growth. A maximum decrease of shoot length, root length, fresh-weight, and dry-weight of 37.5, 62.3, 57.1, and 53.2%, respectively was observed with 400 mg kg− 1 soil of Ag-NPs. In the presence of ZSB the decrease was 34.8, 21.3, 41.6, and 37.9, respectively with the same concentration of Ag-NPs. Results presented in this study demonstrate that ZSB alleviate the toxicity of the nanoparticles and improves Zn content in Mung bean.
Economic Burden of the Stages of Pediatric CKD on the US Healthcare System
Authors: Taliwal Neal , Pandya Aadi , Dixon Angelina , Tibrewal Abhishek , Kumar Rohan J , Doshi Kush , Warady Bradley A , Raina Rupesh 
Published: November 2023

Abstract

Pediatric chronic kidney disease (CKD) plays a role in burdening the public health system. Some of this burden can be attributed to comorbidities frequently associated with CKD; however, much of the economic burden is attributed to CKD itself. The economic burden of CKD is difficult to estimate due to variability in the reporting of costs in the literature. In addition, few studies have endeavored to estimate the cost of CKD in the pediatric population, as CKD is not commonly diagnosed in children until the symptoms are observed. Therefore, we extracted data from The Pediatric Health Information System Database (PHIS) to evaluate if the length of stay, hospitalization cost, morbidity, and mortality is higher in patients with CKD than in patients without CKD and to determine if these variables increase over the CKD stage. We found that length of stay (LOS) and hospitalization costs are increased relative to a typical hospitalization. The LOS for patients with CKD 4 and CKD 5 were 22% and 50% longer relative to the LOS of a typical hospitalization, and the cost for these hospitalizations was 128% and 163% higher than that of a typical hospitalization. Morbidity and mortality remain constant through the various stages of CKD. Further investigation is imperative to decrease the financial burden on both patients and the US healthcare system.
Exploring the Impact of Hydrogen Mixtures on the Combustion of Methane in a Residential Stove Burner: A Numerical Study
Authors: M Aravindan 
Published: November 2023

Abstract
The rising cost of fossil fuels, driven by inflation and geopolitical conflicts, has led to a search for more efficient and environmentally friendly cooking solutions. Blended fuels, specifically the combination of hydrogen and methane (H-M), have emerged as a promising alternative. This study examines the combustion performance of commercial cooking burners using varying H-M blends (0–50%), showcasing increased flame temperature, velocity, and pressure as hydrogen content rises. Moreover, emissions of carbon monoxide (CO) and carbon dioxide (CO2) decrease, demonstrating the potential of H-M blends to enhance cooking efficiency and reduce environmental impact, making them a compelling choice for cooking applications.
Study on the Load Sharing in Piled Raft Foundation
Authors: Priyadarshee Akash , Kumar Vikas , Sharma Kuldeep , Kumar Ashish 
Published: November 2023

Abstract
Piled-raft coefficient is becoming popular foundation system among the engineering for heavy structures. For the purpose of economical designing, understanding of the load sharing between piles and raft is very important. This load sharing characteristics depends upon the factors associated with piles, soil and their interaction. In this study series of model test were conducted on the piled-raft foundation to understand the impact of the different factors on the load sharing behavior of pile. The length of the pile, diameter of the pile, number of piles, configuration of the piles and relative density of the soil is considered as variable parameters in this study. The results obtained from the model tests have shown that the pile-raft coefficient increases with increase in the length, diameter and number of piles. While the piled-raft coefficient decrease with increase in the relative density. Also it was found that the piled-raft foundation with the arrangement of the piles nearer to the center of the pile have greater piled raft coefficient. A mathematical model based upon the regression analysis is also developed, which is found satisfactorily in the prediction of the piled-raft coefficient.
EGF-Activated Grb7 Confers to STAT3-Mediated EPHA4 Gene Expression in Regulating Lung Cancer Progression
Authors: Chu Pei-Yu , Tai Yu-Ling , Wang Ming-Yang , Lee Hsinyu , Kuo Wen Hung , Shen Tang-Long 
Published: November 2023

Abstract

Growth factor receptor bound protein-7 (Grb7) is a multi-domain signaling adaptor protein that regulates various cellular functions acting as an adaptor protein in relaying signal transduction. Although several studies indicated that Grb7 amplifies EGFR-mediated signaling in cancers, the detailed regulatory mechanism of whether and how Grb7 is involved in EGFR-mediated lung cancer progression remains unclear. Here, we demonstrate that EGF-regulated Grb7 phosphorylation promotes lung cancer progression through phosphorylation of STAT3. Intrinsically, EGF/EGFR signal is required for the formation of Grb7/STAT3 complex as well as its nuclear accumulation. Once in the nucleus, STAT3 interacts with EPHA4 promoter, which in turn affects the gene expression level of EPHA4 through transcriptional regulation. Functionally, EphA4 together with EGFR promotes cancer migration, proliferation, and anchorage-independent growth. Our study reveals a novel mechanism in which Grb7 contributes to lung cancer malignancies through its interaction with STAT3 that leads to sequential regulation of EPHA4 gene expression in an EGF/EGFR signal-dependent manner.
Bioethanol Production from Characterized Pre-treated Sugar Cane Trash and Jatropha Agrowastes
Authors: Elnagdy Naglaa A. , Ragab Tamer I. M. , Fadel Mohamed A. , Abou-Zeid Mohamed A. , Esawy Mona A. 
Published: November 2023

Abstract
Relying on second-generation bioethanol made from lignocellulosic substances is now an imperative goal for the entire world. However, the physical and chemical preparation of this kind of lignocellulosic feedstock is one of the main disadvantages of high ethanol yield. In order to increase the yield of fermentable sugars, pretreatment is an essential process step that alters the lignocellulosic structure and improves its accessibility for the expensive hydrolytic enzymes. In this context, the chemical composition of sugar cane trash (dry leaves, green leaves, and tops) and jatropha (shell and seed cake) was determined to be mainly cellulose, hemicellulose, and lignin. Hydrogen peroxide and sodium hydroxide were applied in an attempt to facilitate the solubilization of lignin and hemicelluloses in five agrowastes. The extraction of hydrogen peroxide was much better than that of sodium hydroxide. A comparative study was done using SEM, EDXA, and FTIR to evaluate the difference between the two methods. The pretreated wastes were subjected to saccharification by commercial cellulases (30 IU/g substrate). The obtained glucose was fortified with nutrients and fermented statically by Saccharomyces cerevisiae F-307 for bioethanol production. The results revealed the bioethanol yields were 325.4, 310.8, 282.9,302.4, and 264.0 mg ethanol/g treated agrowastes from green leaves of sugar cane, jatropha deolied seed cake, tops sugar cane, dry leaves of sugar cane, and jatropha shell, respectively.