bluuebunny/crossref_metadata_2025_split huggingface dataset:
Inkjet printing of mechanochromic fluorenylidene-acridane
Authors: Ogumi Keisuke , Nagata Kohki , Takimoto Yuki , Mishiba Kentaro , Matsuo Yutaka 
Published: October 2022

AbstractIn mechanochromic material research, a serious problem is that mechanical treatment cannot be applied to the materials because of their responsiveness to stimuli. Inkjet printing is a useful solution deposition method for electronics, but materials must be processed to be suitable for an inkjet printer. Fluorenylidene-acridane (FA) exhibits ground-state mechanochromism with visual color changes and responds not only to mechanical pressure but also to alcohol. Alcohol inhibits the color change induced by mechanical stimulation because the mechanochromism of FA is based on a conformational change in its molecular structure. This phenomenon suggests that the mechanochromism of FA can be controlled using alcohol. For use in inkjet printing, minute particles of FA obtained by bead milling in ethanol were investigated for uniformity and size by scanning electron microscopy and gas adsorption measurement. Also, ink containing FA particles was prepared and examined for physical properties such as viscosity and surface tension. It was confirmed that the inkjet-printed pattern demonstrated visual color changes between yellow and green in response to mechanical pressure and alcohol. This report describing the control of mechanochromism and its specific application is expected to contribute to broadening the mechanochromic materials research field.
Specific disruption of the ventral anterior temporo-frontal network reveals key implications for language comprehension and cognition
Authors: Kourtidou Evie , Kasselimis Dimitrios , Angelopoulou Georgia , Karavasilis Efstratios , Velonakis Georgios , Kelekis Nikolaos , Zalonis Ioannis , Evdokimidis Ioannis , Potagas Constantin , Petrides Michael 
Published: October 2022

AbstractRecent investigations have raised the question of the role of the anterior lateral temporal cortex in language processing (ventral language network). Here we present the language and overall cognitive performance of a rare male patient with chronic middle cerebral artery cerebrovascular accident with a well-documented lesion restricted to the anterior temporal cortex and its connections via the extreme capsule with the pars triangularis of the inferior frontal gyrus (i.e. Broca’s region). The performance of this unique patient is compared with that of two chronic middle cerebral artery cerebrovascular accident male patients with damage to the classic dorsal posterior temporo-parietal language system. Diffusion tensor imaging is used to reconstruct the relevant white matter tracts of the three patients, which are also compared with those of 10 healthy individuals. The patient with the anterior temporo-frontal lesion presents with flawless and fluent speech, but selective impairment in accessing lexico-semantic information, in sharp contrast to the impairments in speech, sentence comprehension and repetition observed after lesions to the classic dorsal language system. The present results underline the contribution of the ventral language stream in lexico-semantic processing and higher cognitive functions, such as active selective controlled retrieval.
A quantitative model reveals a frequency ordering of prediction and prediction-error signals in the human brain
Authors: Chao Zenas C. , Huang Yiyuan Teresa , Wu Chien-Te 
Published: October 2022

AbstractThe human brain is proposed to harbor a hierarchical predictive coding neuronal network underlying perception, cognition, and action. In support of this theory, feedforward signals for prediction error have been reported. However, the identification of feedback prediction signals has been elusive due to their causal entanglement with prediction-error signals. Here, we use a quantitative model to decompose these signals in electroencephalography during an auditory task, and identify their spatio-spectral-temporal signatures across two functional hierarchies. Two prediction signals are identified in the period prior to the sensory input: a low-level signal representing the tone-to-tone transition in the high beta frequency band, and a high-level signal for the multi-tone sequence structure in the low beta band. Subsequently, prediction-error signals dependent on the prior predictions are found in the gamma band. Our findings reveal a frequency ordering of prediction signals and their hierarchical interactions with prediction-error signals supporting predictive coding theory.
The aldolase inhibitor aldometanib mimics glucose starvation to activate lysosomal AMPK
Authors: Zhang Chen-Song , Li Mengqi , Wang Yu , Li Xiaoyang , Zong Yue , Long Shating , Zhang Mingliang , Feng Jin-Wei , Wei Xiaoyan , Liu Yan-Hui , Zhang Baoding , Wu Jianfeng , Zhang Cixiong , Lian Wenhua , Ma Teng , Tian Xiao , Qu Qi , Yu Yaxin , Xiong Jinye , Liu Dong-Tai , Wu Zhenhua , Zhu Mingxia , Xie Changchuan , Wu Yaying , Xu Zheni , Yang Chunyan , Chen Junjie , Huang Guohong , He Qingxia , Huang Xi , Zhang Lei , Sun Xiufeng , Liu Qingfeng , Ghafoor Abdul , Gui Fu , Zheng Kaili , Wang Wen , Wang Zhi-Chao , Yu Yong , Zhao Qingliang , Lin Shu-Yong , Wang Zhi-Xin , Piao Hai-Long , Deng Xianming , Lin Sheng-Cai 
Published: October 2022

AbstractThe activity of 5′-adenosine monophosphate-activated protein kinase (AMPK) is inversely correlated with the cellular availability of glucose. When glucose levels are low, the glycolytic enzyme aldolase is not bound to fructose-1,6-bisphosphate (FBP) and, instead, signals to activate lysosomal AMPK. Here, we show that blocking FBP binding to aldolase with the small molecule aldometanib selectively activates the lysosomal pool of AMPK and has beneficial metabolic effects in rodents. We identify aldometanib in a screen for aldolase inhibitors and show that it prevents FBP from binding to v-ATPase-associated aldolase and activates lysosomal AMPK, thereby mimicking a cellular state of glucose starvation. In male mice, aldometanib elicits an insulin-independent glucose-lowering effect, without causing hypoglycaemia. Aldometanib also alleviates fatty liver and nonalcoholic steatohepatitis in obese male rodents. Moreover, aldometanib extends lifespan and healthspan in both Caenorhabditis elegans and mice. Taken together, aldometanib mimics and adopts the lysosomal AMPK activation pathway associated with glucose starvation to exert physiological roles, and might have potential as a therapeutic for metabolic disorders in humans.
Self‐supervised image clustering from multiple incomplete views via constrastive complementary generation
Authors: Wang Jiatai , Xu Zhiwei , Yang Xuewen , Guo Dongjin , Liu Limin 
Published: October 2022

AbstractIncomplete Multi‐View Clustering aims to enhance clustering performance by using data from multiple modalities. Despite the fact that several approaches for studying this issue have been proposed, the following drawbacks still persist: (1) It is difficult to learn latent representations that account for complementarity yet consistency without using label information; (2) and thus fails to take full advantage of the hidden information in incomplete data results in suboptimal clustering performance when complete data is scarce. In this study, Contrastive Incomplete Multi‐View Image Clustering with Generative Adversarial Networks (CIMIC‐GAN), which uses Generative Adversarial Network (GAN) to fill in incomplete data and uses double contrastive learning to learn consistency on complete and incomplete data is proposed. More specifically, considering diversity and complementary information among multiple modalities, we incorporate autoencoding representation of complete and incomplete data into double contrastive learning to achieve learning consistency. Integrating GANs into the autoencoding process can not only take full advantage of new features of incomplete data, but also better generalise the model in the presence of high data missing rates. Experiments conducted on four extensively used data sets show that CIMIC‐GAN outperforms state‐of‐the‐art incomplete multi‐View clustering methods.
Real‐time active power dispatch of virtual power plant based on distributed model predictive control
Authors: Feng Shuai , Yang Dongsheng , Zhou Bowen , Luo Yanhong , Li Guangdi 
Published: October 2022

AbstractWith the increasing penetration of renewable energy, virtual power plants (VPP) reduce the impact on the power grid by integrating massive distributed resources for unified management. However, the optimal scheduling of a large number of distributed resources in VPP has become a new problem in recent years. Therefore, aiming at the real‐time optimal scheduling problem in the optimal scheduling of virtual power plant, this letter regards the virtual power plant as a multi‐agent system and proposes a novel real‐time active power dispatch scheme of virtual power plant based on distributed model predictive control (DMPC), so that each agent can not only calculate its own optimization function relatively independently, but also fully refer to the neighbour information. Simulation results show the feasibility and effectiveness of the proposed method.
Design and fabrication of thin film inductors using closed laminated core for 20‐MHz DC–DC converters
Authors: Wang Ningning , Jin Qiao , Feeney Ciaran , Liu Lei , Zhang Zhengmin , Ye Tincong 
Published: October 2022

AbstractThis letter presents a feasible and cost‐effective approach to realize closed laminated core, which is used to realize on silicon integrated thin film inductors. The closed laminated core is fabricated by electroplating magnetic layers with an oxide insulation layer sputtered in‐between. This is compatible with the back end of line (BEOL) processes. The prototype of the thin film inductor with closed laminated core shows less degradation of AC inductance and smaller AC resistance at high frequencies than the variant with a solid core. Furthermore, it is tested in a 20‐MHz DC–DC converter. The peak efficiency of 80% was achieved.
Coarse trimap expansion based on one‐class classification for image matting
Authors: Liang Yihui , Zhu Yongjun , Deng Chunjian , Feng Fujian , Cai Zhaoquan 
Published: October 2022

AbstractTrimap is required for most image matting algorithms, as it provides partial regions with known opacity. As capturing elaborate trimaps is a time‐consuming process, in practice, users prefer to provide coarse trimaps with large unknown regions. However, extant image matting algorithms cannot provide high‐quality alpha mattes based on coarse trimaps. Although some matting algorithms include trimap expansion in the pre‐processing stage, if this is done by directly comparing the similarity of image features between pixels, errors and omissions can easily occur. To overcome this issue, in this paper, a coarse trimap expansion model based on one‐class classification is presented, in which the problem is treated as a process of reclassifying pixels in unknown regions. For this purpose, a coarse trimap expansion method denoted as CTE‐OC is proposed, in which the similarity between pixels is reliably determined by measuring semantic features, allowing newly developed one‐class classifiers to adequately classify pixels in entire unknown regions. The validity of these strategies is tested experimentally, and the results show that CTE‐OC can significantly improve the quality of alpha mattes obtained by extant image matting methods when provided with coarse trimaps.
A lensed protocluster candidate at z = 7.66 identified in JWST observations of the galaxy cluster SMACS0723−7327
Authors: Laporte N. , Zitrin A. , Dole H. , Roberts-Borsani G. , Furtak L. J. , Witten C. 
Published: October 2022

Context. According to the current paradigm of galaxy formation, the first galaxies likely formed within large dark matter haloes. The fragmentation of these massive haloes led to the formation of galaxy protoclusters, which are usually composed of one to a few bright objects, surrounded by numerous fainter (and less massive) galaxies. These early structures could have played a major role in reionising the neutral hydrogen within the first billion years of the Universe, especially if their number density is significant.
Aims. Taking advantage of the unprecedented sensitivity reached by the James Webb Space Telescope (JWST), galaxy protoclusters can now be identified and studied in increasing numbers beyond z ≥ 6. Characterising their contribution to the UV photon budget could supply new insights into the reionisation process.
Methods. We analysed the first JWST dataset behind SMACS0723−7327 to search for protoclusters at z ≥ 6, combining the available spectroscopic and photometric data. We then compared our findings with semi-analytical models and simulations.
Results. In addition to two bright galaxies (≤26.5 AB in F277W), separated by ∼11″and spectroscopically confirmed at zspec = 7.66, we identify six additional galaxies with similar colours within a θ ∼ 20″ radius (corresponding to R ∼ 60 − 90 kpc in the source plane). Using several methods, we estimate the mass of the dark matter halo of this protocluster as ∼3.3  ×  1011 M⊙, accounting for magnification, consistent with various predictions. The physical properties of all protocluster members are also in excellent agreement with what has been previously found at lower redshifts: star formation main sequence and protocluster size. This detection adds to just a few protoclusters currently known in the first billion years of the universe. These z ≥ 7 galaxy protoclusters may play an important role in cosmic reionisation.
Predictive and Prognostic Value of Plasma Zonulin for Gestational
Diabetes Mellitus in Women at 24–28 Weeks of Gestation
Authors: Yilmaz Zehra , Oral Serkan , Yurtcu Nazan , Akpak Yasam Kemal , Celik Sebahattin , Caliskan Canan 
Published: October 2022

Abstract
Objective We aimed to examine the predictive and prognostic value of
plasma zonulin for gestational diabetes mellitus (GDM) in women at 24–28
weeks of gestation.
Methods This retrospective study was carried out with pregnant women with
GDM (n=98) and normal glucose tolerance (control group) (n=132).
GDM was diagnosed according to American Diabetes Association (ADA) criteria with
a one-step 75-g OGTT at 24–28 gestational weeks. Their serum zonulin
levels measured during one-step 75-g OGTT and perinatal outcomes were compared,
and the cut-off value of plasma zonulin for the prediction of GDM was calculated
with receiver operating characteristic curve analysis.
Results Plasma zonulin level was significantly higher in women with GDM
compared to controls (28.8±24.9 and
7.3±11.3 ng/mL, respectively). According to logistic
regression analysis, plasma zonulin levels and GDM were statistically
significant. The plasma zonulin cut-off value
was>45.2 ng/mL. The rate of cesarean section, the rate
of meconium in the amniotic fluid, and the need for admission to the neonatal
intensive care unit significantly differed between women with GDM and
controls.
Conclusion In pregnant women with GDM, plasma zonulin increases, and with
the cut-off level of>45.2 ng/mL, it can predict GDM with
values of sensitivity and specificity levels significantly higher in pregnant
women with GDM, suggesting that it can be used as a tool for its screening and
early diagnosis.
The Effect of Psychological Intervention on the Visual Quality of Patients with a Diffractive Multifocal Intraocular Lens Implant
Authors: Wang Yan-Xi , Kang Gang-Jin , Zhou Juan , Chen Ying , Peng Zheng-Hong 
Published: October 2022

Abstract
Objective This study aimed to investigate the effect of psychological intervention on the visual quality of patients with a diffractive multifocal intraocular lens implant and its
possible mechanism.
Methods Eighty-nine patients undergoing age-related cataract surgery were enrolled in the study at the Affiliated Hospital of Southwest Medical University between December 2015 and
July 2017. They were randomly divided into two groups: multiple focus M1 group (n = 45) and multiple focus M2 group (n = 40). The M1 group was only given routine preoperative health
education, treatment, and evaluation, while the M2 group also received psychological intervention.
Results After treatment, there was no statistical difference in the uncorrected distance and near visual acuity, corrected distance and near visual acuity, or the vision and near
removal rate in either of the two groups (p > 0.05). However, postoperative glare was lower in the M2 group (p < 0.05), and patient satisfaction was higher in the M2 group
(p < 0.05). The M2 group had a more obvious improvement in the Symptom Checklist-90 score (p < 0.05), the serum interleukin-6 (IL-6) was lower, and the serum brain-derived neurotrophic
factor (BDNF) was higher in the M2 group (p < 0.05). In addition, serum IL-6 had a negative correlation with the depression score, and serum BDNF also showed a negative correlation with
the anxiety score (p < 0.05).
Conclusions Psychological intervention improved the stress state of patients with age-related cataracts and diffractive multifocal intraocular lens implants, reduced the level of
inflammatory factors in the body, improved the level of BDNF, reduced postoperative visual interference, and improved postoperative satisfaction.
Prevention of Neurologic Disease with Fasting
Authors: Macri Elizabeth , Azhar Yusra 
Published: October 2022

AbstractFasting has been widely studied in both prevention and treatment of many neurologic disorders. Some conditions may be prevented with any type of fasting, while some may require a stricter regimen. Fasting reduces weight, fasting blood glucose, and insulin resistance, and favorably alters the gut biome and the immune system. This article discusses various versions of fasting that have been studied as well as the known and theoretical mechanisms of how fasting effects the body and the brain. This article will then review evidence supporting the potential preventive and treatment effects of fasting in specific neurologic disorders including ameliorating the symptoms of Parkinson's disease, improving cognition in Alzheimer's disease, reducing migraine frequency and intensity, and reducing seizure frequency in epilepsy.
Robson's Ten Group Classification System to Evaluate Cesarean Section Rates in Honduras: The Relevance of Labor Induction
Authors: Paz Lester David Castro , Banegas Rigoberto Castro , Luz Adriana Gomes , Costa Maria Laura 
Published: October 2022

Abstract
Objective To use the Robson Ten Group Classification (RTGC) to analyze cesarean section (CS) rates in a Honduran maternity hospital, with focus in groups that consider induction of labor.
Methods Cross-sectional study. Women admitted for childbirth (August 2017 to October 2018) were classified according to the RTGC. The CS rate for each group and the contribution to the overall CS rate was calculated, with further analyses of the induction of labor among term primiparous (group 2a), term multiparous (group 4a), and cases with one previous CS (group 5.1).
Results A total of 4,356 women were considered, with an overall CS rate of 26.1%. Group 3 was the largest group, with 38.6% (1,682/4,356) of the cases, followed by Group 1, with 30.8% (1,342/4,356), and Group 5, with 10.3% (450/4,356). Considering the contribution to overall CS rates per group, Group 5 contributed with 30.4% (345/1,136) of the CSs and within this group, 286/345 (82.9%) had 1 previous CS, with a CS rate > 70%. Groups 1 and 3, with 26.6% (291/1,136) and 13.5% (153/1,136), respectively, were the second and third larger contributors to the CS rate. Groups 2a and 4a had high induction success, with low CS rates (18.4 and 16.9%, respectively).
Conclusion The RTGC is a useful tool to assess CS rates in different healthcare facilities. Groups 5, 1, and 3 were the main contributors to the CS rate, and groups 2 and 4 showed the impact and importance of induction of labor. These findings may support future interventions to reduce unnecessary CS, especially among primiparous and in women with previous CS.
Detection of Novel gyrB Mutation in Fluoroquinolone-Resistant Salmonella and Escherichia coli using PCR-RFLP
Authors: Tony Liz Therese , Rohit Anusha , Aditya Vankadari , Kotian Akshatha , Karunasagar Indrani , Deekshit Vijaya Kumar 
Published: October 2022

Abstract
Background Emergence of fluoroquinolone resistance in gut pathogens is a cause of concern. Resistant to quinolone is mainly due to the point mutations at the quinolone-resistance determining regions (QRDR). The aim of the study was to develop polymerase chain reaction-restriction fragment length polymorphism assay (PCR-RFLP) to detect QRDR mutations in gyrA and gyrB regions in enteric pathogens.
Methodology PCR-RFLP was done for gyrA 83 region using HinfI and for gyrB 447 using AcuI for fluoroquinolone resistant and susceptible gut pathogens. The products were also sequenced to confirm the presence of restriction sites.
Results In this study, a PCR-RFLP technique was developed to detect gyrA 83 mutations in Salmonella typhi and Escherichia coli. A first of its kind PCR-RFLP was also developed to detect gyrB 447 mutation using a restriction enzyme AcuI. Restriction digestion of gyrA using HinfI resulted in three bands for resistant S. typhi isolates due to the presence of mutation at gyrA 83 and four bands were seen for sensitive S. typhi isolates, while two bands for resistant and three bands were seen in sensitive E. coli isolates. Similarly, restriction digestion of gyrB using AcuI resulted in no digestion for resistant S. typhi isolates and two bands for resistant E. coli isolates. This suggest that there is mutation at gyrB 447 region ofE. coli, while no mutation was found in S. typhi isolates.
Conclusion The PCR-RFLP developed in the present study could successfully detect gyrA 83 and gyrB 447 mutations in fluoroquinolone-resistant S. typhi and E. coli. The technique can be efficiently used in epidemiological studies instead of a cost-intensive sequencing method to detect the status of multiple point mutations in gut pathogens.
Rapid-Deployment Aortic Valve Replacement in a Real-World All-Comers Population
Authors: Yun Taeyoung , Kim Kyung Hwan , Sohn Suk Ho , Kang Yoonjin , Kim Ji Seong , Choi Jae Woong 
Published: October 2022

Abstract
Background This study was conducted to evaluate the mid-term outcomes of rapid-deployment aortic valve replacement (AVR) using Edwards Intuity.
Methods A total of 215 patients underwent rapid-deployment AVR using Edwards Intuity at our institution. The median follow-up duration was 22 months (interquartile range, 8–36). Primary outcomes were overall survival, cumulative incidence of cardiac death, and major adverse cardiac events. Secondary outcomes were early and 1-year hemodynamic performances of the bioprosthetic valve.
Results The mean age was 68.6 ± 10.5 years, and EuroSCORE II was 3.09 ± 4.5. The study population included 113 patients (52.6%) with bicuspid valves (24 patients with type 0 bicuspid valves), 20 patients (9.3%) with pure aortic regurgitation, and 3 patients (1.4%) with infective endocarditis. Isolated AVR was performed in 70 patients (32.4%) and concomitant procedures were performed in 146 patients (67.6%), including aorta surgery (42.3%) and mitral valve procedure (22.3%). Operative mortality was 2.8%. Complete atrioventricular block occurred in 12 patients, but most of them were transient and only 3 patients received permanent pacemaker implantation before discharge. Overall survival at 3 years was 92.3%. Early hemodynamic data showed mean pressure gradients of 15.5 ± 5.0 and 12.7 ± 4.2 mm Hg in the 19 and 21 mm valve, respectively. One-year hemodynamics were also excellent with mean pressure gradients of 14.7 ± 5.3 and 10.7 ± 3.6 mm Hg in the 19 and 21 mm valve, respectively.
Conclusion Based on a real-world all-comers population, rapid-deployment AVR using Edwards Intuity could be performed for various indications, including bicuspid valve, pure aortic regurgitation, and infective endocarditis, and the clinical and hemodynamic outcomes were excellent.