bluuebunny/crossref_metadata_2025_split huggingface dataset:
Induction of glioblastoma cell ferroptosis using combined treatment with chloramphenicol and 2-deoxy-d-glucose
Authors: Miki Kenji , Yagi Mikako , Noguchi Naoki , Do Yura , Otsuji Ryosuke , Kuga Daisuke , Kang Dongchon , Yoshimoto Koji , Uchiumi Takeshi 
Published: June 2023

AbstractGlioblastoma, a malignant tumor, has no curative treatment. Recently, mitochondria have been considered a potential target for treating glioblastoma. Previously, we reported that agents initiating mitochondrial dysfunction were effective under glucose-starved conditions. Therefore, this study aimed to develop a mitochondria-targeted treatment to achieve normal glucose conditions. This study used U87MG (U87), U373, and patient-derived stem-like cells as well as chloramphenicol (CAP) and 2-deoxy-d-glucose (2-DG). We investigated whether CAP and 2-DG inhibited the growth of cells under normal and high glucose concentrations. In U87 cells, 2-DG and long-term CAP administration were more effective under normal glucose than high-glucose conditions. In addition, combined CAP and 2-DG treatment was significantly effective under normal glucose concentration in both normal oxygen and hypoxic conditions; this was validated in U373 and patient-derived stem-like cells. 2-DG and CAP acted by influencing iron dynamics; however, deferoxamine inhibited the efficacy of these agents. Thus, ferroptosis could be the underlying mechanism through which 2-DG and CAP act. In conclusion, combined treatment of CAP and 2-DG drastically inhibits cell growth of glioblastoma cell lines even under normal glucose conditions; therefore, this treatment could be effective for glioblastoma patients.
Narcolepsy type I-associated DNA methylation and gene expression changes in the human leukocyte antigen region
Authors: Yoshida-Tanaka Kugui , Shimada Mihoko , Honda Yoshiko , Fujimoto Akihiro , Tokunaga Katsushi , Honda Makoto , Miyagawa Taku 
Published: June 2023

AbstractNarcolepsy type 1 (NT1) is caused by a loss of hypothalamic orexin-producing cells, and autoreactive CD4+ and CD8+ T cells have been suggested to play a role in the autoimmune mechanism. Although NT1 showed a strong association with human leukocyte antigen (HLA)-DQB1*06:02, the responsible antigens remain unidentified. We analyzed array-based DNA methylation and gene expression data for the HLA region in CD4+ and CD8+ T cells that were separated from the peripheral blood mononuclear cells of Japanese subjects (NT1, N = 42; control, N = 42). As the large number of SNPs in the HLA region might interfere with the affinity of the array probes, we conducted a comprehensive assessment of the reliability of each probe. The criteria were based on a previous study reporting that the presence of frequent SNPs, especially on the 3′ side of the probe, makes the probe unreliable. We confirmed that 90.3% of the probes after general filtering in the HLA region do not include frequent SNPs, and are thus suitable for analysis, particularly in Japanese subjects. We then performed an association analysis, and found that several CpG sites in the HLA class II region of the patients were significantly hypomethylated in CD4+ and CD8+ T cells. This association was not detected when the effect of HLA-DQB1*06:02 was considered, suggesting that the hypomethylation was possibly derived from HLA-DQB1*06:02. Further RNA sequencing revealed reduced expression levels of HLA-DQB1 alleles other than HLA-DQB1*06:02 in the patients with NT1. Our results suggest the involvement of epigenetic and expressional changes in HLA-DQB1 in the pathogenesis of NT1.
Quality by design paradigm for optimization of green stability indicating HPLC method for concomitant determination of fluorescein and benoxinate
Authors: Kamal Amira H. , Habib Ahmed A. , Hammad Sherin F. , Megahed Safa M. 
Published: June 2023

AbstractA green, robust and fast stability indicating chromatographic method has been developed for concomitant analysis of fluorescein sodium and benoxinate hydrochloride in the presence of their degradation products within four minutes. Two different designs including fractional factorial and Box–Behnken designs were implemented for screening and optimization steps, respectively. The optimum chromatographic analysis was achieved using a mixture of isopropanol and 20 mM potassium dihydrogen phosphate solution (pH 3.0) in the ratio 27:73 as mobile phase. The flow rate was 1.5 mL/min and column oven temperature was 40 °C. Chromatographic analysis was performed on Eclipse plus C18 (100 mm × 4.6 mm × 3.5 μm) column with DAD detector set at 220 nm. A linear response was acquired over the range of 2.5–60 μg/mL and 1–50 μg/mL for benoxinate and fluorescein respectively. Stress degradation studies were executed under acidic, basic, and oxidative stress conditions. The method was implemented for quantitation of cited drugs in ophthalmic solution with mean percent recovery ± SD of 99.21 ± 0.74 and 99.88 ± 0.58 for benoxinate and fluorescein respectively. The proposed method is more rapid and eco-friendly compared to the reported chromatographic methods for determination of cited drugs.
Robotic endoscope with double-balloon and double-bend tube for colonoscopy
Authors: Takamatsu Toshihiro , Endo Yuto , Fukushima Ryodai , Yasue Tatsuki , Shinmura Kensuke , Ikematsu Hiroaki , Takemura Hiroshi 
Published: June 2023

AbstractThe insertion of conventional colonoscopes can sometimes cause patients to experience pain during the procedure owing to the stretching of the mesentery. In this study, a prototype of a robotic colonoscope with a double-balloon and double-bend tube based on the conventional double-balloon endoscope was developed to simplify insertion and prevent the overstretching of the colon. Both the outer and inner tubes were confirmed to be free from interference from wires and sheaths. Additionally, all functions such as tip bending, inflation and deflation of the balloons, and actuator-driven pulling and pushing of the inner tube were operated properly. During the insertion test, the device could be reached the cecum of a colon model in approximately 442 s when operated by a non-medical operator. In addition, the device did not overstretch the colon model, thereby suggesting that the insertion mechanism can follow the shape of the colon model. As a result, the developed mechanism has the potential to navigate through a highly-bent colon without overstretching.
Selective effects of conspecific movement on social preference in zebrafish (Danio rerio) using real-time 3D tracking and 3D animation
Authors: Kuroda Toshikazu , Ritchey Carolyn M. , Podlesnik Christopher A. 
Published: June 2023

AbstractZebrafish show social behavior such as shoaling and schooling, which is a result of complex and interdependent interactions among conspecifics. Zebrafish social behavior is interdependent in the sense that one fish’s behavior affects both conspecific behavior and, as a result, their own behavior. Previous research examined effects of the interdependent interactions on the preference for social stimulus but lacked clear evidence that specific conspecific movements were reinforcing. The present research examined whether dependency between individual experimental fish’s motion and a social-stimulus fish’s motions contributes to preference for the social stimulus. In Experiment 1, a 3D animated stimulus fish either chased individual experimental fish or was motionless, serving as dependent and independent motions, respectively. In Experiment 2, the stimulus fish either chased experimental fish, moved away, or moved independently of the experimental fish. In both experiments, experimental fish spent more time near the stimulus fish showing dependent and interactive movements, indicating preference for dependent motion over independent motion, and chasing over other motions. Implications of these results are discussed including a potential role of operant conditioning in the preference for social stimuli.
The effect of dietary approaches to stop hypertension and ketogenic diets intervention on serum uric acid concentration: a systematic review and meta-analysis of randomized controlled trials
Authors: Gohari Sepehr , Ghobadi Saeed , Jafari Alireza , Ahangar Hassan , Gohari Sheida , Mahjani Mahsa 
Published: June 2023

AbstractHyperuricemia as a risk factor for metabolic diseases is proved to be profoundly modified by dietary approaches. This systematic review and meta-analysis of randomized control trials (RCT) was conducted to investigate the effect of two nutritional interventions; dietary approaches to stop hypertension (DASH) diet and ketogenic diet (KD) on serum uric acid (UA) concentrations. Our systematic search was for RCTs in which KD or DASH diet were assigned to adults for at least 2 weeks or more. Until March 2023 in Embase, Web of Science, PubMed, and Scopus databases, 10 eligible RCTs that intervened with DASH diet (n = 4) or KD (n = 6) and had provided laboratory data on serum UA were found. Summary effect was calculated by random-effects model. Results from the meta-analysis of the 4 DASH diet RCTs with a total of 590 participants revealed significant decrease in serum UA after at least 4 weeks of interventions (mean difference (MD) = ‒0.25; 95% CI ‒0.4 to ‒0.1 mg/dL;p < 0.01; I2 = 0%). The pooled meta-analysis of the 6 included RCTs of KD reporting data of 267 participants showed no significant changes in serum UA (MD = 0.26; 95% CI ‒0.47 to 0.98 mg/dL, I2 = 95.32%). However, a non-significant reduction of UA in the subgroup analysis of very low-calorie KD (VLCKD) studies (MD = ‒0.04; 95% CI ‒0.29 to 0.22, I2 = 0%) was obtained. DASH diet has an ameliorating effect on serum UA and may be recommended for hyperuricemia states such as gout. In addition, we have shown that serum UA level following KD remained unchanged. Although, in view of the heterogeneity across the studies, further investigations are needed to determine the effect of KD and VLKD on serum UA concentrations.
Gene-specific machine learning for pathogenicity prediction of rare BRCA1 and BRCA2 missense variants
Authors: Kang Moonjong , Kim Seonhwa , Lee Da-Bin , Hong Changbum , Hwang Kyu-Baek 
Published: June 2023

AbstractMachine learning-based pathogenicity prediction helps interpret rare missense variants of BRCA1 and BRCA2, which are associated with hereditary cancers. Recent studies have shown that classifiers trained using variants of a specific gene or a set of genes related to a particular disease perform better than those trained using all variants, due to their higher specificity, despite the smaller training dataset size. In this study, we further investigated the advantages of “gene-specific” machine learning compared to “disease-specific” machine learning. We used 1068 rare (gnomAD minor allele frequency (MAF) < 0.005) missense variants of 28 genes associated with hereditary cancers for our investigation. Popular machine learning classifiers were employed: regularized logistic regression, extreme gradient boosting, random forests, support vector machines, and deep neural networks. As features, we used MAFs from multiple populations, functional prediction and conservation scores, and positions of variants. The disease-specific training dataset included the gene-specific training dataset and was > 7 × larger. However, we observed that gene-specific training variants were sufficient to produce the optimal pathogenicity predictor if a suitable machine learning classifier was employed. Therefore, we recommend gene-specific over disease-specific machine learning as an efficient and effective method for predicting the pathogenicity of rare BRCA1 and BRCA2 missense variants.
SMCHD1 and LRIF1 converge at the FSHD-associated D4Z4 repeat and LRIF1 promoter yet display different modes of action
Authors: Šikrová Darina , Testa Alessandra M. , Willemsen Iris , van den Heuvel Anita , Tapscott Stephen J. , Daxinger Lucia , Balog Judit , van der Maarel Silvère M. 
Published: June 2023

AbstractFacioscapulohumeral muscular dystrophy (FSHD) is caused by the epigenetic derepression of the 4q-linked D4Z4 macrosatellite repeat resulting in inappropriate expression of the D4Z4 repeat-encoded DUX4 gene in skeletal muscle. In 5% of FSHD cases, D4Z4 chromatin relaxation is due to germline mutations in one of the chromatin modifiers SMCHD1, DNMT3B or LRIF1. The mechanism of SMCHD1- and LRIF1-mediated D4Z4 repression is not clear. We show that somatic loss-of-function of either SMCHD1 or LRIF1 does not result in D4Z4 chromatin changes and that SMCHD1 and LRIF1 form an auxiliary layer of D4Z4 repressive mechanisms. We uncover that SMCHD1, together with the long isoform of LRIF1, binds to the LRIF1 promoter and silences LRIF1 expression. The interdependency of SMCHD1 and LRIF1 binding differs between D4Z4 and the LRIF1 promoter, and both loci show different transcriptional responses to either early developmentally or somatically perturbed chromatin function of SMCHD1 and LRIF1.
Crustal remelting origin of highly silicic magmatism on the Moon
Authors: Su Bin , Chen Yi , Yue Zongyu , Chen Lin , Mitchell Ross N. , Tang Ming , Yang Wei , Huang Guangyu , Guo Jinghui , Li Xian-Hua , Wu Fu-Yuan 
Published: June 2023

AbstractOrbital observations of non-mare, highly silicic volcanic constructs on the Moon challenge the conventional view of the formation of silicic crusts in the presence of water and plate tectonics—the former the Moon has in very short supply and the latter it likely never ever had. Revealing the silica-rich magma origin may reshape our understanding of early planetary crust formation. However, the cause of lunar silicic magmatism remains enigmatic. Here we conduct phase equilibrium simulations for potential lunar igneous lithologies that demonstrate that the compositions of silicic volcanic constructs can be produced by partial melting of KREEP (potassium, rare earth elements, and phosphorus) basalts. Either internal radiogenic heating or external impact bombardment can provide the heat needed for KREEP basalt melting. Combined with silica-rich materials identified on other rocky planets, we suggest that highly evolved crusts might be more prevalent in the early solar system than anticipated as they can originate from crustal remelting in the absence of water and plate tectonics.
Industrial‐generative pre‐trained transformer for intelligent manufacturing systems
Authors: Wang Han , Liu Min , Shen Weiming 
Published: June 2023

AbstractManufacturing enterprises are facing how to utilise industrial knowledge and continuously accumulating massive unlabelled data to achieve human‐cyber‐physical collaborative and autonomous intelligence. Recently, artificial intelligence‐generative content has achieved great performance in several domains and scenarios. A new concept of industrial generative pre‐trained Transformer (Industrial‐GPT) for intelligent manufacturing systems is introduced to solve various scenario tasks. It refers to pre‐training with industrial datasets, fine‐tuning with industrial scenarios, and reinforcement learning with domain knowledge. To enable Industrial‐GPT to better empower the manufacturing industry, Model as a Service is introduced to cloud computing as a new service mode, which provides a more efficient and flexible service approach by directly invoking the general model of the upper layer and customising it for specific businesses. Then, the operation mechanism of the Industrial‐GPT driven intelligent manufacturing system is described. Finally, the challenges and prospects of applying the Industrial‐GPT in the manufacturing industry are discussed.
An accurate power control strategy for electromagnetic rotary power controllers
Authors: Yan Xiangwu , Shao Chen , Jia Jiaoxin , Aslam Waseem , Peng Weifeng , Yang Ruojia 
Published: June 2023

AbstractWith the rapid development of active distribution networks, the “petal”‐type distribution network has become the mainstream power supply structure. Power control methods for active distribution networks should be further studied to ensure the safe and reliable power supply of a distribution system. An electromagnetic rotary power flow controller (RPFC) is a feasible solution for controlling power in active distribution networks. However, when testing the effectiveness of the PQ decoupled control method for RPFC based on instantaneous reactive power theory, difficulties were encountered with the synchronous control of the rotor position angle of two rotating‐phase transformers, and the accuracy of power control was unsatisfactory. Given this condition, PQ control is improved in three ways. First, the system's periodic oscillation problem is solved via variable speed control. Second, the servo motor‐rotary phase‐shifting transformer synchronous rotation scheme, which reduces power control error and improves stability, is designed. Third, the overshoot phenomenon in power control is improved using the variable‐domain fuzzy proportional‐integral adaptive method. Experimental results show that the proposed advanced control scheme exhibits good dynamic and static performance in power control scenarios and achieves effective improvement in RPFC.
Improving traffic time‐series predictability by imputing continuous non‐random missing data
Authors: Miao Meng , Kang Mingyu , Qian Xusheng , Chen Duxin , Wu Weijiang , Yu Wenwu 
Published: June 2023

AbstractContinuous non‐random data missing can be a challenging task for model prediction in intelligent transport system (ITS). In ITS, many methods have been proposed to solve this problem. However, the imputation accuracy of them is far from accurate. Thus, the authors propose a novel cross‐modality generative adversarial network, named as cross‐modality GAN, to impute continuous non‐random missing data from the cross‐modality perspective. This model uses the cross‐modality data fusion technique to fuse spatial and temporal modal data into vectorized features, and then imputes the target unseen missing data by a data generation pipeline. Different from the other existing models, this model overcomes the problem of zero observation data, and realizes long‐term missing time series imputation. Many comparative experiments are conducted. The results verify that the cross‐modality GAN achieves better imputation performances on Performance Measurement System (PeMS) dataset, a real public traffic dataset, compared to other baseline models. Furthermore, the results verify that the imputed data of cross‐modality GAN can provide more traffic time‐series predictability information, and improve prediction accuracy of prediction models effectively.
Enhanced charge circuitry for indoor photovoltaic energy harvesting with fast activation and high efficiency
Authors: Wang Chung‐Hsiang , Huang Kuo‐Hsuan , Wu Chung‐Yen 
Published: June 2023

AbstractUsing batteries in low‐power Internet of Things (IoT) devices poses a risk of environmental pollution. Energy harvesting (EH) systems are needed to capture ambient energy and charge supercapacitors to address this issue. Indoor photovoltaic (PV) panels are a promising power source, but their weak ambient energy makes it challenging to activate IoT end nodes quickly. Here, an EH system enhanced charge circuitry with fast activation is proposed that reduces IoT end nodes activation time to less than 2 s, compared to the traditional 19.8 h, if an indoor PV panel supplying 28 µA to charge a 1 F capacity supercapacitor from 0 to 2 V. This system also offers high‐efficiency charging, enabling supercapacitors to replace batteries, particularly when charging from 0 to 1.2 V, with a charge time improvement ratio of 64%. These breakthroughs address long‐standing challenges in IoT power systems and reduce environmental pollution.
Polarimetric airborne scientific instrument, mark 2, an ice‐sounding airborne synthetic aperture radar for subglacial 3D imagery
Authors: Arenas‐Pingarrón Álvaro , Corr Hugh F. J. , Robinson Carl , Jordan Tom A. , Brennan Paul V. 
Published: June 2023

AbstractPolarimetric Airborne Scientific INstrument, mark 2 (PASIN2) is a 150 MHz coherent pulsed radar with the purpose of deep ice sounding for bedrock, subglacial channels and ice‐water interface detection in Antarctica. It is designed and operated by the British Antarctic Survey from 2014. With multiple antennas, oriented along and across‐track, for transmission and reception, it enables polarimetric 3D estimation of the ice base with a single pass, reducing the gridding density of the survey paths. The off‐line data processing stream consists of channel calibration; 2D synthetic aperture radar (SAR) imaging based on back‐projection, for along‐track and range dimensions; and finally, a direction of arrival estimation (DoA) of the remaining across‐track angle, by modifying the non‐linear MUSIC algorithm. Calibration flights, during the Antarctic Summer campaigns in 16/17 and 19/20 seasons, assessed and validated the instrument and processing performances. Imaging flights over ice streams and ice shelves close to grounding lines demonstrate the 3D sensing capabilities. By resolving directional ambiguities and accounting for reflector across‐track location, the true ice thickness and bed elevation are obtained, thereby removing the error of the usual assumption of vertical DoA, that greatly influence the output of flow models of ice dynamics.
Insulin Inhibits Autophagy by Inhibiting the Binding of FoXO1 to the
Promoter Region of GABARAPL1
Authors: Hong Tao , Wen Jie , Mei Lang , Li Ruixiang , Zhou Junlin , Li Jiaoyang , Xiao Xin-Hua 
Published: June 2023

AbstractHyperinsulinemia and insulin resistance in T2D have a potent suppressive effect
on hepatic autophagy, however, the underlying mechanisms remain unclear. To
explore the effect of insulin on hepatic autophagy and its possible signaling
pathways, HL-7702 cells were treated with insulin with or without insulin
signaling inhibitors. The interaction between insulin and the promoter region of
GABARAPL1 was assessed through luciferase assay and EMSA. There were significant
dose-dependent decreases in the number of intracellular autophagosomes and the
protein levels of GABARAPL1 and beclin1 in insulin-treated HL-7702 cells.
Insulin signaling inhibitors reversed the inhibitory effect of insulin on
rapamycin-induced autophagy and autophagy-related gene upregulation. Insulin
blocks the binding of FoxO1 to putative insulin response elements in GABARAPL1
gene promoter, leading to the repressed transcription of GABARAPL1 gene and the
suppression of hepatic autophagy. Our study identified GABARAPL1 as a novel
target of insulin in suppressing hepatic autophagy.