bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of tumor-related genes via RNA sequencing of tumor tissues in Xenopus tropicalis
Authors: Kitamura Kazuki , Yamamoto Takayoshi , Ochi Haruki , Suzuki Makoto , Suzuki Nanoka , Igawa Takeshi , Yoshida Tadashi , Futakuchi Mitsuru , Ogino Hajime , Michiue Tatsuo 
Published: August 2023

AbstractCancer treatment is still challenging because the disease is often caused by multiple mutations. Although genomic studies have identified many oncogenes and tumor suppressor genes, gene sets involved in tumorigenesis remain poorly understood. Xenopus, a genus of aquatic frogs, is a useful model to identify gene sets because it can be genetically and experimentally analyzed. Here, we analyzed gene expression in tumor tissues of three individuals in Xenopus tropicalis and identified 55 differentially expressed genes (DEGs). Gene ontology (GO) analysis showed that the upregulated genes in the tumor tissues were enriched in GO terms related to the extracellular matrix and collagen fibril organization. Hierarchical clustering showed that the gene expression patterns of tumor tissues in X. tropicalis were comparable to those of human connective, soft, and subcutaneous tissue-derived cancers. Additionally, pathway analysis revealed that these DEGs were associated with multiple pathways, including the extracellular matrix, collagen fibril organization, MET signaling, and keratan sulfate. We also found that the expression tendency of some DEGs that have not been well analyzed in the cancer field clearly determines the prognosis of human cancer patients. This study provides a remarkable reference for future experimental work on X. tropicalis to identify gene sets involved in human cancer.
Inhibition of CysLTR1 reduces the levels of aggregated proteins in retinal pigment epithelial cells
Authors: Koller Andreas , Brunner Susanne Maria , Preishuber-Pflügl Julia , Mayr Daniela , Ladek Anja-Maria , Runge Christian , Reitsamer Herbert Anton , Trost Andrea 
Published: August 2023

AbstractThe endosomal-lysosomal system (ELS), which carries out cellular processes such as cellular waste degradation via autophagy, is essential for cell homeostasis. ELS inefficiency leads to augmented levels of damaged organelles and intracellular deposits. Consequently, the modulation of autophagic flux has been recognized as target to remove damaging cell waste. Recently, we showed that cysteinyl leukotriene receptor 1 (CysLTR1) antagonist application increases the autophagic flux in the retinal pigment epithelial cell line ARPE-19. Consequently, we investigated the effect of CysLTR1 inhibition–driven autophagy induction on aggregated proteins in ARPE-19 cells using flow cytometry analysis. A subset of ARPE-19 cells expressed CysLTR1 on the surface (SE+); these cells showed increased levels of autophagosomes, late endosomes/lysosomes, aggregated proteins, and autophagy as well as decreased reactive oxygen species (ROS) formation. Furthermore, CysLTR1 inhibition for 24 h using the antagonist zafirlukast decreased the quantities of autophagosomes, late endosomes/lysosomes, aggregated proteins and ROS in CysLTR1 SE- and SE+ cells. We concluded that high levels of plasma membrane–localized CysLTR1 indicate an increased amount of aggregated protein, which raises the rate of autophagic flux. Furthermore, CysLTR1 antagonist application potentially mimics the physiological conditions observed in CysLTR1 SE+ cells and can be considered as strategy to dampen cellular aging.
Exclusive waterpipe smoking and the risk of nasopharynx cancer in Vietnamese men, a prospective cohort study
Authors: Nguyen Thinh Gia , Kieu Hung Dinh , Truong Dung Thuy Thi , Ngo Khoa Xuan , Ikeda Shunya , Le Ngoan Tran 
Published: August 2023

AbstractTobacco smoking is carcinogenic to humans. Besides cigarettes, the most common form of tobacco smoking, there was sparse evidence of waterpipe’s carcinogenicity-induced nasopharyngeal cancer (NPC). This study investigated the association between waterpipe smoking and NPC mortality. Our study followed up with 20,144 eligible man participants from nine northern Vietnam communes between 2007 and 2019. Face-to-face interviews were conducted to gather data on exclusive waterpipe and cigarette smoking and dietary intake using structured semi-quantitative food frequency and lifestyle questionnaires. Nasopharyngeal cancer was determined by accessing the medical records at the state health facilities. We estimated the Cox proportional hazard ratio and 95% confidence intervals, HR (95% CI). The proportion of never smokers, exclusive waterpipe, exclusive cigarette, and dual waterpipe and cigarette smokers was 55.8%, 14.5%, 16.6%, and 13.1%, respectively. Exclusively waterpipe smokers increased the risk of NPC death compared to exclusively cigarette smokers, HR (95% CI): 4.51 (1.25, 16.31), p = 0.022. A dose-dependent positive relationship between NPC and exclusive waterpipe smoking was significantly seen for higher intensity HR (95% CI): 1.35 (1.07, 1.71), earlier age of smoking initiation HR (95% CI): 1.26 (1.06, 1.50), longer duration HR (95% CI): 1.31 (1.04, 1.66), and the cumulative number of a smoke lifetime HR (95% CI): 1.37 (1.08, 1.74). We observed a significant positive association between exclusive waterpipe smoking and NPC in men. The findings suggested that waterpipe smoking is likely more harmful than cigarettes in developing this cancer. A firm tobacco control against waterpipe smoking is highly recommended.
NLP-based music processing for composer classification
Authors: Deepaisarn Somrudee , Chokphantavee Sirawit , Chokphantavee Sorawit , Prathipasen Phuriphan , Buaruk Suphachok , Sornlertlamvanich Virach 
Published: August 2023

AbstractCategorizing music pieces by composer is a challenging task in digital music processing due to their highly flexible structures, introducing subjective interpretation by individuals. This research utilized musical data from the MIDI and audio edited for synchronous tracks and organization dataset of virtuosic piano pieces. In this work, pitch and duration were the musical features of interest. The goal was to innovate an approach to representing a musical piece using SentencePiece and Word2vec, which are natural language processing-based techniques. We attempted to find correlated melodies that are likely to be formed by single interpretable units of music via co-occurring notes, and represented them as a musical word/subword vector. Composer classification was performed in order to ensure the efficiency of this musical data representation scheme. Among classification machine learning algorithms, k-nearest neighbors, random forest classifier, logistic regression, support vector machines, and multilayer perceptron were employed to compare performances. In the experiment, the feature extraction methods, classification algorithms, and music window sizes were varied. The results were that classification performance was sensitive to feature extraction methods. Musical word/subword vector standard deviation was the most effective feature, resulting in classification with a high F1-score, attaining 1.00. No significant difference was observed among model classification performances.
Flexible dispersion engineering using polymer patterning in nanophotonic waveguides
Authors: Wang Pei-Hsun , Wang Shang-Pu , Hou Nien-Lin , Yang Zong-Ren , Huang Wei-Hao , Lee Tien-Hsiang 
Published: August 2023

AbstractWe demonstrate the engineering of waveguide dispersion by lithographically patterning the polymer cladding on silicon nitride waveguide resonators. Both normal and anomalous dispersion, ranging from − 462 to 409 ps/nm/km, can be achieved for the same waveguide dimension within an integrated photonic chip. In the meantime, this simple process shows no impact on the waveguide loss and the quality factor of the waveguide resonators, offering flexibility in tailoring designable dispersion for a universal photonic platform. In addition, by adjusting the coverage ratio of cladding, relatively low dispersion (≈ − 130 ps/nm/km) is also demonstrated in the same waveguide resonator, yielding the potentials for zero-dispersive waveguide resonators by a proper coverage ratio of the polymer cladding.
Exosomes secreted by mesenchymal stem cells delay brain aging by upregulating SIRT1 expression
Authors: Zhang Xiaowen , Liu Te , Hou Xuejia , Zhou Zhongsheng , Zhang Fuqiang , Ma He , Wu Xiaodong , Jiang Jinlan 
Published: August 2023

AbstractThe increase in the aging population has seriously affected our society. Neurodegenerative diseases caused by aging of the brain significantly impact the normal life of the elderly, and delaying brain aging is currently the focus of research. SIRT1 is a viable therapeutic target, and there is mounting evidence that it plays a significant role in the aging process. Mesenchymal stem cell-derived exosomes (MSC-Exos) have gained widespread interest as nanotherapeutic agents because of their ability to be injected at high doses to reduce the immune response. The present study focused on the ameliorative effect of MSC-Exos on aging mice and the potential mechanisms of this effect on cognitive impairment and brain aging. In this study, we first tested the neuroprotective effects of MSC-Exos in vitro on H2O2-induced oxidative damage in BV2 cells. An in vivo SAMP8 rapid senescence mouse model showed that MSC-Exos significantly increased SIRT1 gene expression in senescent mice. In addition, MSC-Exos also had an anti-apoptotic effect and reduced oxidative stress in the brains of SAMP8 senescent mice. In conclusion, MSC-Exos may exert neuroprotective effects and help prevent brain senescence in SAMP8 mice by activating the SIRT1 signaling pathway.
Metabolic profiling stratifies colorectal cancer and reveals adenosylhomocysteinase as a therapeutic target
Authors: Vande Voorde Johan , Steven Rory T. , Najumudeen Arafath K. , Ford Catriona A. , Dexter Alex , Gonzalez-Fernandez Ariadna , Nikula Chelsea J. , Xiang Yuchen , Ford Lauren , Maneta Stavrakaki Stefania , Gilroy Kathryn , Zeiger Lucas B. , Pennel Kathryn , Hatthakarnkul Phimmada , Elia Efstathios A. , Nasif Ammar , Murta Teresa , Manoli Eftychios , Mason Sam , Gillespie Michael , Lannagan Tamsin R. M. , Vlahov Nikola , Ridgway Rachel A. , Nixon Colin , Raven Alexander , Mills Megan , Athineos Dimitris , Kanellos Georgios , Nourse Craig , Gay David M. , Hughes Mark , Burton Amy , Yan Bin , Sellers Katherine , Wu Vincen , De Ridder Kobe , Shokry Engy , Huerta Uribe Alejandro , Clark William , Clark Graeme , Kirschner Kristina , Thienpont Bernard , Li Vivian S. W. , Maddocks Oliver D. K. , Barry Simon T. , Goodwin Richard J. A. , Kinross James , Edwards Joanne , Yuneva Mariia O. , Sumpton David , Takats Zoltan , Campbell Andrew D. , Bunch Josephine , Sansom Owen J. 
Published: August 2023

AbstractThe genomic landscape of colorectal cancer (CRC) is shaped by inactivating mutations in tumour suppressors such as APC, and oncogenic mutations such as mutant KRAS. Here we used genetically engineered mouse models, and multimodal mass spectrometry-based metabolomics to study the impact of common genetic drivers of CRC on the metabolic landscape of the intestine. We show that untargeted metabolic profiling can be applied to stratify intestinal tissues according to underlying genetic alterations, and use mass spectrometry imaging to identify tumour, stromal and normal adjacent tissues. By identifying ions that drive variation between normal and transformed tissues, we found dysregulation of the methionine cycle to be a hallmark of APC-deficient CRC. Loss of Apc in the mouse intestine was found to be sufficient to drive expression of one of its enzymes, adenosylhomocysteinase (AHCY), which was also found to be transcriptionally upregulated in human CRC. Targeting of AHCY function impaired growth of APC-deficient organoids in vitro, and prevented the characteristic hyperproliferative/crypt progenitor phenotype driven by acute deletion of Apc in vivo, even in the context of mutant Kras. Finally, pharmacological inhibition of AHCY reduced intestinal tumour burden in ApcMin/+ mice indicating its potential as a metabolic drug target in CRC.
Modified Multiple Stimulus With Hidden Reference and Anchors–Gabrielsson Total Impression Sound Quality Rating Comparisons for Speech in Quiet, Noise, and Reverberation
Authors: Rahme Mohamed , Folkeard Paula , Beaulac Steve , Scollie Susan , Parsa Vijay 
Published: August 2023

Purpose:
The purpose of the study was to obtain, analyze, and compare subjective sound quality data for the same test stimuli using modified multistimulus MUSHRA (Multiple Stimulus with Hidden Reference and Anchors) based procedures (viz., MUSHRA with custom anchors and MUSHRA without anchor) and the single-stimulus Gabrielsson's total impression rating procedure.

Method:
Twenty normally hearing young adults were recruited in this study. Participants completed sound quality ratings on two different hearing aid recording data sets—Data Set A contained speech recordings from four different hearing aids under a variety of noisy and processing conditions, and Data Set B contained speech recordings from a single hearing aid under a combination of different noisy, reverberant, and signal processing conditions. Recordings in both data sets were rated for their quality using the total impression rating procedure. In addition, quality ratings of Data Set A recordings were obtained using a MUSHRA with custom anchors, while the ratings of Data Set B recordings were collected using a MUSHRA without anchor.

Results:
Statistical analyses revealed a high test–retest reliability of quality ratings for the same stimuli that were rated multiple times. In addition, high-interrater reliability was observed with all three rating procedures. Further analyses indicated (a) a high correlation between the total impression rating and the two modified MUSHRA ratings and (b) a similar relationship between the average and standard deviation of the subjective rating data obtained by the total impression rating and MUSHRA with custom anchors on Data Set A, and the total impression rating and the MUSHRA without anchor on Data Set B.

Conclusion:
Both sound quality procedures, namely, the MUSHRA-based procedures and the total impression rating scale, obtained similar quality ratings of varied hearing aid speech recordings with high reliability.
K–8 Speech-Language Pathologists' Training and Implementation of Research-Based Behavioral Intervention Strategies
Authors: Scherschligt Ruth A. , Gapp Susan C. , Brouwer Kyle , Iverson Monica , Drew Marcy 
Published: August 2023

Purpose:The purpose of this study was to examine school-based speech-language pathologists' (SLPs') training and implementation of research-based behavioral intervention strategies and to determine if there were differences in the SLPs' training and implementation based on school district size and years of experience.Method:Nonexperimental and quantitative survey research methods, using a researcher-developed survey with 21 response items inquiring about training and implementation of research-based behavioral intervention strategies, were distributed to current members of the American Speech-Language-Hearing Association. Seventy-eight qualified respondents completed the survey. The researchers utilized multiple independent-samples two-tailedttests for analysis.Results:Results indicated that SLPs in the study had some training in research-based behavioral intervention strategies and that these strategies were implemented sometimes during speech therapy sessions. There was no statistically significant difference in amount of SLP training or implementation based on years of experience or district size. Insight was gained on the types of behaviors that SLPs encountered during speech therapy sessions and how those behaviors negatively impacted their ability to provide services as well as their overall job satisfaction.Conclusions:Although K–8 SLPs have some training and sometimes implement research-based behavioral intervention strategies, regardless of their years of experience or the size of the district in which they worked, SLPs identified several topics of behavior intervention strategies that would be helpful to address in future training. To better prepare SLPs to work with students who exhibit behavioral issues, more training in research-based behavioral intervention strategies in preparation programs and professional development plans should be considered.
Spatially correlated channel estimation for RIS‐assisted MIMO systems with correlated gaussian perturbation
Authors: Qin Changjian , Zhang Pinchang , He Ji 
Published: August 2023

AbstractThis paper studies the problem of spatially correlated channel estimation for reconfigurable intelligent surface (RIS)‐assisted multiple‐input multiple‐output (MIMO) systems with arbitrarily correlated Gaussian perturbation. In particular, composite RIS channel estimation is first explored based on minimum mean square error (MMSE) method, and optimal training sequence design of pilots with MSE minimization. Applying the Kronecker‐structured model, correlated composite RIS‐related channels and correlated Gaussian perturbation are then characterized. The optimal training sequence structure and spatial training power allocation conditions are derived, and the choice of the optimal training sequence length is also analyzed. Finally, numerical results are provided to assess the performance of the proposed estimate method under different training sequence structures, the optimal length of the training sequence, and information statistics. Extensive numerical results show that the proposed estimate method has supreme performance compared to state of‐the‐art baseline methods (e.g. maximum likelihood and two‐sided linear channel estimation methods).
Optimal energy storage configuration for joint energy‐regulation market participating renewable energy plants with excess revenue recovery mechanism
Authors: Liu Weihong , Ren Qiangyu , Deng Jiaojiao , Guo Jincheng , Zheng Xiaoming , Liu Hongli 
Published: August 2023

AbstractThe fluctuation and stochastic characteristics of renewable energy resources challenge the secure system operation and also impose significant financial risks for the market participating renewable energy plants (REPs). Energy storage systems (ESSs) can serve as effective tools in enhancing the operating flexibility of REPs, thus improving their profitability while making them grid‐friendly. However, current studies focussing on the energy market participation of ESS‐equipped REPs neglect ESSs' frequency regulation performance. Moreover, power output deviation and power curtailment of REPs bring difficulties to the integration of renewable energy. To address these challenges, an optimal ESS configuration method for REPs participating in the joint energy‐regulation market is proposed first. A method considering constraints on frequency regulation performance is applied. Then, to reduce power output deviation and power curtailment of REPs, an incentive mechanism based on the excess revenue recovery is implemented to induce the grid‐friendly power outputs of REPs. Numerical analysis on XJTU‐ROTS2017 systems demonstrates that the optimal ESS configuration results obtained from the proposed method could promote the profitability of ESS‐equipped REPs. The results also verify the effectiveness of the excess revenue recovery mechanism in facilitating the grid‐friendly operation behaviours of the ESS‐equipped REPs.
Evaluating the detection range of microwave quantum illumination radar
Authors: Wei Rongyu , Li Jun , Wang Weihao , Ye Zhou , Zhao Chunlei , Guo Qinghua 
Published: August 2023

AbstractBased on quantum illumination (QI) protocol, microwave quantum radar has been developed, which has attracted great interest from radar researchers. While, according to the QI protocol, the quantum advantage of QI radar is related to the power of generated signal, which may lead to a trade‐off between its quantum advantage and the maximum detection range. However, the maximum detection range is an important indicator to measure the performance of the radar. Therefore, it is necessary to quantitatively analyse the maximum detection range and quantum advantages of microwave QI radar, which will help us understand its performance from the perspective of radar applications and further evaluate the potential application scenarios and future research directions of it. The microwave quantum radar equation is developed, by the authors, based on the classical radar equation with the consideration of the quantum properties of extremely weak signals. Then, the maximum detection range of QI radar and classical two mode noise radar in different microwave bands is comprehensively compared and analysed. The possible applications of microwave QI radars in different bands are also discussed. In addition, the authors demonstrate that the symmetrical quantum limited amplification actually has no contribution to improving the detection range of a QI radar.
‘Hot cities’ and their experiences and planning for rapid growth: An analysis of strategic planning documents
Authors: Hammarberg Robert , Highfield Linda , Walton Gretchen , Wermuth Paige , Bowman Ann 
Published: August 2023

AbstractCity living is the new normal as more than half of the world's population resides in urban areas. How has this transition affected public health and urban planning departments, and how, if at all, are they recognizing its effects in their strategic planning documents? Using publicly available strategic planning documents from public health and urban planning departments among rapidly growing U.S. cities, keyword frequency and keywords‐in‐context/code frequency analyses were performed to address this question. The results indicated that urban planning departments recognize their city's growth and associated effects more frequently than public health departments. Although not all cities included in the study referenced their rapid population growth in their materials, those that did commonly noted its effects on demographic transition, infrastructure planning, and service delivery. Thus, indicating rapid population growth may impact these areas pertinent to public health and urban planning. Regardless of department, the areas least connected to rapid growth in the documents were budgeting and data; two topics indicated by the literature are important tools to address the effects of rapid population growth, signifying, among other things, the need to better utilize smart city initiatives such as real‐time data sharing.
HLS‐based swarm intelligence driven optimized hardware IP core for linear regression‐based machine learning
Authors: Sengupta Anirban , Chaurasia Rahul , Rathor Mahendra 
Published: August 2023

AbstractLinear Regression (LR), as one of the essential Machine Learning (ML) models, incurs massive data crunching during the training phase based on many data points. Considering the computationally intensive nature in the LR models, an optimized dedicated hardware IP core design can be very effective. This paper proposes the following novelties: (a) an optimized hardware IP core design of linear regression‐based machine learning model using high‐level synthesis (HLS). More specifically, independent application specific datapath architectures of hardware IP for computing optimal bias and intercepts and cost function in LR‐ML are presented here; (b) an optimized hardware IP core design of LR based ML model by deducing dependency graph from its corresponding mathematical foundation; (c) register transfer level (RTL) design, using HLS, of the optimized LR based ML hardware IP core for computing cost function; (d) linear regression IP core design using multi‐layered tree‐height transformation (THT) and swarm intelligence based architectural exploration for optimized HLS design.