bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel splice variant of Elp3/Kat9 regulates mitochondrial tRNA modification and function
Authors: Boutoual Rachid , Jo Hyunsun , Heckenbach Indra , Tiwari Ritesh , Kasler Herbert , Lerner Chad A. , Shah Samah , Schilling Birgit , Calvanese Vincenzo , Rardin Matthew J. , Scheibye-Knudsen Morten , Verdin Eric 
Published: August 2022

AbstractPost-translational modifications, such as lysine acetylation, regulate the activity of diverse proteins across many cellular compartments. Protein deacetylation in mitochondria is catalyzed by the enzymatic activity of the NAD+-dependent deacetylase sirtuin 3 (SIRT3), however it remains unclear whether corresponding mitochondrial acetyltransferases exist. We used a bioinformatics approach to search for mitochondrial proteins with an acetyltransferase catalytic domain, and identified a novel splice variant of ELP3 (mt-ELP3) of the elongator complex, which localizes to the mitochondrial matrix in mammalian cells. Unexpectedly, mt-ELP3 does not mediate mitochondrial protein acetylation but instead induces a post-transcriptional modification of mitochondrial-transfer RNAs (mt-tRNAs). Overexpression of mt-ELP3 leads to the protection of mt-tRNAs against the tRNA-specific RNase angiogenin, increases mitochondrial translation, and furthermore increases expression of OXPHOS complexes. This study thus identifies mt-ELP3 as a non-canonical mt-tRNA modifying enzyme.
Prediction of mining-induced subsidence at Barapukuria longwall coal mine, Bangladesh
Authors: Alam A. K. M. Badrul , Fujii Yoshiaki , Eidee Shaolin Jahan , Boeut Sophea , Rahim Afikah Binti 
Published: August 2022

AbstractIt is essential to predict the mining-induced subsidence for sustainable mine management. The maximum observed subsidence having a noticeable areal extent due to Northern Upper Panels (NUP) and Southern Lower Panels (SLP) at the Barapukuria longwall coal mine is 5.8 m and 4.2 m, respectively, after the extraction of a 10 m thick coal seam. The mining-induced subsidence was simulated by the Displacement Discontinuity Method. The numerical model considered the effects of the ground surface, mining panels, faults, and the dyke. The predicted and the observed subsidence due to the mining of NUP and SLP were compared by varying Young's modulus, and the 0.10 GPa Young's modulus was found to be the best match in the geo-environmental condition. The effects of the faults and the dyke in the calculation were negligible. Future subsidence was predicted by considering 30 m extraction of the thick coal seam as 15.7–17.5 m in NUP and 8.7–10.5 m in SLP. The vulnerable areas demarcated considering the tilt angle and extensile strain might extend up to the coal mine office area and some villages.
Actin dynamics in protein homeostasis
Authors: Williams Thomas D. , Rousseau Adrien 
Published: August 2022

Abstract
Cell homeostasis is maintained in all organisms by the constant adjustment of cell constituents and organisation to account for environmental context. Fine-tuning of the optimal balance of proteins for the conditions, or protein homeostasis, is critical to maintaining cell homeostasis. Actin, a major constituent of the cytoskeleton, forms many different structures which are acutely sensitive to the cell environment. Furthermore, actin structures interact with and are critically important for the function and regulation of multiple factors involved with mRNA and protein production and degradation, and protein regulation. Altogether, actin is a key, if often overlooked, regulator of protein homeostasis across eukaryotes. In this review, we highlight these roles and how they are altered following cell stress, from mRNA transcription to protein degradation.
Development and Utility of an International Classification of Functioning, Disability and Health Code Set for Younger-Old Adults With Fall Risk: Implications for Audiologists
Authors: de Clercq Hendrika , Naudé Alida , Bornman Juan 
Published: August 2022

Purpose:
Falling is a multifactorial condition that can cause severe injury and even death in older adults. Early identification of fall risk factors, as the first step of preventive health care, can assist in reducing the negative and often debilitating effects of falls in older adults. By using the World Health Organization's International Classification of Functioning, Disability and Health (ICF) framework to develop an ICF code set to identify fall risk factors in older adults, health care practitioners could obtain health information in a multidimensional way.

Method:
This study describes the final phase of a comprehensive, three-phase, mixed-methods sequential study. For this third phase, a pre–post group design that focused on the audiologist's perceptions of the clinical utility of a newly developed ICF code set was employed. The questionnaire that was used for this purpose consisted of two distinct sections: clinical application and clinical utility (viz., appropriateness, accessibility, practicability, acceptability, and professional utility). Thirty practicing audiologists participated in the study. Data were analyzed for each of the two sections of the questionnaire.

Results:
Results related to clinical application indicated that regardless of the audiologists' experience in routine fall risk assessment or fall risk factor identification, the use of the developed ICF code set increased their ability to correctly identify relevant clinical aspects. Results related to clinical utility showed high scores across all five measure components, with the highest clinical utility component being acceptability, closely followed by appropriateness and professional utility, and the lowest being accessibility.

Conclusion:
Several clinical implications have emerged from this study, including the usefulness of the ICF code set to identify and document fall risk factors in older adults, the code set's ability to guide audiologists to determine individualized assessment needs either by themselves or by other health care disciplines, and that the code set could be used by audiologists regardless of their experience in vestibular assessments.
Parameter optimization of control system design for uncertain wireless power transfer systems using modified genetic algorithm
Authors: Gao Xudong , Cao Wenjie , Yang Qiang , Wang Honglin , Wang Xiaolei , Jin Guang , Zhang Jun 
Published: August 2022

AbstractThe closed‐loop wireless power transfer (WPT) system can realize constant voltage output in the presence of perturbation. However, the parameter design of the controller is a difficult problem. The traditional trial‐and‐error method is time‐consuming and difficult to find optimal parameters. A parameter optimization strategy of control systems for uncertain WPT systems using the modified genetic algorithm (MGA) is proposed. Firstly, because the system has different characteristics at different periods, the simulation process is divided into three stages. The first one is the start‐up stage, in which we mainly consider the overshoot and the rate of the voltage rise. The second one is the tracking stage, in which the tracking time and switching loss are mainly considered. The third one is the stabilisation stage, in which the steady‐state error and switching loss are mainly considered. Secondly, three cost functions are designed according to the characteristics of the three stages, and then the optimal controller parameters of each stage are obtained by using MGA. Finally, the effectiveness of the proposed method is verified by simulation. The optimization results show that compared with the previous parameter optimization method, the optimal controller parameters obtained by the proposed method make the WPT system achieve better performance.
Event‐triggered prescribed performance robust collision‐free capturing control for drag‐free spacecraft system
Authors: Wang Enyou , Liu Ming , Qiu Shi , Yu Yang , Cao Xibin 
Published: August 2022

AbstractThis paper addresses the capturing control problem of a plug‐and‐play modularized drag‐free spacecraft system, including two spherical proof masses, where the performance constraints, collision risk, uncertain model parameters, unknown external disturbances, and limited communication are considered simultaneously. First, a nonlinear relative dynamics of spherical proof masses with respect to spacecraft is formulated for the capture process. Second, two different prescribed performance event‐triggered robust collision‐free capturing control strategies are developed to capture the free‐floating proof masses successfully. Suppose only the performance metrics on the relative position are considered, and an event‐triggered adaptive terminal sliding mode capturing controller is implemented to achieve the capture process within a finite time. Suppose more performance constraints, such as the user predefined capture duration and the performance bounds on both the relative position and the relative velocity, are taken into account, and an event‐triggered appointed‐time prescribed performance capturing controller is proposed to solve the above issues. In particular, an artificial potential function is utilized to avoid the collision, and a relative threshold event‐triggered rule is employed to save the communication source between the controller and the actuator without any Zeno behaviour. The simulation results demonstrate the efficacy and superiority of the proposed method.
Unified multi‐stage fusion network for affective video content analysis
Authors: Yi Yun , Wang Hanli , Tang Pengjie 
Published: August 2022

AbstractAffective video content analysis is an active topic in the field of affective computing. In general, affective video content can be depicted by feature vectors of multiple modalities, so it is important to effectively fuse information. In this work, a novel framework is designed to fuse information from multiple stages in a unified manner. In particular, a unified fusion layer is devised to combine output tensors from multiple stages of the proposed neural network. With the unified fusion layer, a bidirectional residual recurrent fusion block is devised to model the information of each modality. Moreover, the proposed method achieves state‐of‐the‐art performances on two challenging datasets, i.e. the accuracy value on the VideoEmotion dataset is 55.8%, and the MSE values on the two domains of EIMT16 are 0.464 and 0.176 respectively. The code of UMFN is available at: https://github.com/yunyi9/UMFN.
Enabling image optimisation and artificial intelligence technologies for better Internet of Things framework to predict COVID
Authors: M Allayla Noor , Nazar Ibraheem Farah , Adnan Jaleel Refed 
Published: August 2022

AbstractSensor technology advancements have provided a viable solution to fight COVID and to develop healthcare systems based on Internet of Things (IoTs). In this study, image processing and Artificial Intelligence (AI) are used to improve the IoT framework. Computed Tomography (CT) image‐based forecasting of COVID disease is among the important activities in medicine for measuring the severity of variability in the human body. In COVID CT images, the optimal gamma correction value was optimised using the Whale Optimisation Algorithm (WOA). During the search for the optimal solution, WOA was found to be a highly efficient algorithm, which has the characteristics of high precision and fast convergence. Whale Optimisation Algorithm is used to find best gamma correction value to present detailed information about a lung CT image, Also, in this study, analysis of important AI techniques has been done, such as Support Vector Machine (SVM) and Deep‐Learning (Deep‐Learning (DL)) for COVID disease forecasting in terms of amount of data training and computational power. Many experiments have been implemented to investigate the optimisation: SVM and DL with WOA and without WOA are compared by using confusion matrix parameters. From the results, we find that the DL model outperforms the SVM with WOA and without WOA.
A simple determination of the halo size from10Be/9Be data
Authors: Maurin D. , Ferronato Bueno E. , Derome L. 
Published: August 2022

Context.The AMS-02 and HELIX experiments should soon provide10Be/9Be cosmic-ray data of unprecedented precision.Aims.We propose an analytical formula to quickly and accurately determineLfrom these data.Methods.Our formula is validated against the full calculation performed with the propagation codeUSINE. We compare the constraints onLset by Be/B and10Be/9Be, relying on updated sets of production cross-sections.Results.The best-fitLfrom AMS-02 Be/B data is shifted from 5 kpc to 3.8 kpc when using the updated cross-sections. We obtained consistent results from the Be/B analysis withUSINE,L = 3.8−1.6+2.8kpc (data and cross-section uncertainties), and from the analysis of10Be/9Be data with the simplified formula,L = 4.7 ± 0.6 (data uncertainties) ±2 (cross-section uncertainties) kpc. The analytical formula indicates that improvements onLthanks to future data will be limited by production cross-section uncertainties, unless either10Be/9Be measurements are extended up to several tens of GeV/n, or nuclear data for the production of10Be and9Be are improved; new data for the production cross section of16O into Be isotopes above a few GeV/n are especially desired.
Extraction, Purification, Quantification, and Stability of Bioactive Spilanthol from Acmella oleracea
Authors: Grymel Mirosława , Mazurkiewicz Roman , Bajkacz Sylwia , Bilik Janusz , Kowalczyk Sławomir 
Published: August 2022

Abstract
Acmella oleracea is an ethnobotanically significant plant with a relatiwely high content of spilanthol. Due to its broad spectrum of activity, including anti-inflammatory,
antioxidant, analgesic, antifungal, and bacteriostatic properties, it is considered a valuable bioactive natural product. In addition, spilanthol as its main bioactive component inhibits
facial muscle contractions, making it an attractive ingredient in anti-wrinkle and anti-aging cosmetics. Due to its muscle paralyzing effects, it is called herbal botox. The commercial
interest in spilanthol encourages the development of effective methods of isolating it from plant material. The methodology used in this paper allows for the obtaining of extracts from
Acmella oleracea with a relatively high content of spilanthol. An effective method of spilanthol extraction from all aerial parts of Acmella oleracea as well as methods of
enriching spilanthol concentration in extracts achieved by removing polar and acidic substances from crude extracts was developed. To quantify the concentration of spilanthol, a simple, fast
and economically feasible quantification protocol that uses nuclear magnetic resonance (HNMR) was developed. In addition, it has been proven, that oxidation of spilanthol by air gives
(2E,7Z)-6,9-endoperoxy-N-(2-methylpropyl)-2,7-decadienamide. The studies on spilanthol solutions stability were carried out and the conditions for the long-time storage
of spilanthol solutions have also been developed. Additionally, for confirmation of obtained results a sensitive (LOQ=1 ng/mL), precise (RSD lower than 7%) and accurate (RE lower than 7.5%),
new HPLC-MS/MS method was applied.
Reactions of Nitroarenes with Corey–Chaykovsky Reagents
Authors: Barbasiewicz Michał , Antoniak Damian 
Published: August 2022

AbstractElectrophilic and nucleophilic substitutions of aromatic substrates share common mechanistic pathways. In both scenarios reacting species attack rings at the unsubstituted (C–H) positions, giving cationic Wheland intermediates or anionic Meisenheimer complexes. However, the following step of rearomatization breaks the intrinsic symmetry, due to different leaving group ability of proton and hydride anion, respectively. In effect, electron-deficient arenes are prone to transformations unparalleled in electrophilic chemistry. In our article, we present transformations of anionic σH-adducts, formed between nitroarenes and carbanions of the Corey–Chaykovsky reagents. Depending on structure of the substrates and reaction conditions, the intermediates undergo cyclization to cyclopropanes (norcaradienes) or base-induced elimination to the alkylated products. Mechanistic studies reveal that order of the carbanions controls competition between the processes, due to steric hindrance developing at the β-elimination step.1	Introduction2	Cyclopropanation of Nitronaphthalenes3	Alkylation of Nitropyridines4	Mechanistic Studies5	Summary and Outlook
Transventricular Endoscopic Approach for Cystic Craniopharyngioma: Case Series
Authors: Kulkarni Akshay , Konar Subhas , Shukla Dhaval , Sadashiva Nishanth , Devi Bhagavatula Indira 
Published: August 2022

Abstract
Background and Study Aims The treatment of craniopharyngioma is varied. The treatment ranges from radical excision to direct radiotherapy. As the morbidity of excision is high, more conservative approaches are used. Transventricular endoscopy is a minimally invasive treatment for cystic craniopharyngiomas. The objective of this study is to describe a personal experience with this method of treatment.
Material and Methods This is a retrospective review of a series of patients managed with endoscopic catheter and reservoir placement for cystic craniopharyngiomas.
Results Twenty-nine patients presented with clinical features of raised intracranial features. Imaging showed a predominantly cystic craniopharyngioma extending into the third ventricle with hydrocephalus. All patients underwent transcortical transventricular endoscopic biopsy, and catheter placement connected to a reservoir. There was no morbidity ascribed to the endoscopic procedure when fenestration and aspiration or fenestration and reservoir were placed. Twelve patients underwent radiotherapy. The median duration of follow-up was 18 months (3–72 months). Eight (27.5%) cases had recurrences. Five (17.2%) could be managed with only reaspiration, two (6.8%) required craniotomy and resection, and one (3.4%) could be managed only with ventriculoperitoneal shunt.
Conclusion The neuroendoscopic fenestration, aspiration of cyst, and placement of catheter reservoir followed by radiation is an optional treatment for predominantly cystic craniopharyngiomas arising within or extending into the third ventricle causing hydrocephalus.
Metal–Organic Framework Derived Cobalt Oxide Supported Bimetallic Pd/Cu Nanoparticles for Efficient Catalysis of the Sonogashira Reaction under Aerobic Conditions
Authors: Yan Shuo 
Published: August 2022

AbstractA bimetallic Pd/Cu catalyst supported on a metal-organic-framework-derived cobalt oxide was prepared and characterized by SEM, EDS, XRD, XPS, and ICP-OES analyses. The catalyst promoted the Sonogashira reaction of aryl iodides with terminal alkynes at a low loading of the palladium (0.032 mol%) and copper species (0.012 mol%) to give the corresponding disubstituted alkynes in moderate to good yields. When the catalyst was recovered by using an external magnetic field, its catalytic activity decreased slightly in a second cycle.
Superior Vena Cava Syndrome: Etiologies, Manifestations, and Treatments
Authors: Quencer Keith B. 
Published: August 2022

AbstractSuperior vena cava (SVC) obstruction, whether from benign or malignant causes, results in a variety of symptoms. It is a potential medical emergency when cerebral or laryngeal edema occurs. Endovascular therapy is the treatment of choice for patients in need of emergent relief of symptoms. This article will provide a review of SVC syndrome with a focus on endovascular treatment techniques.
Study on soft hot embossing process for making microstructures in a cyclo-olefin polymeric (COP) film
Authors: Lee Cheng-Je , Hsu Yu-Hsiang 
Published: August 2022

Abstract
Thermoplastic polymers are the primary materials for fabricating commercial microfluidic devices. Despite many excellent properties, the low thermal conductivity is a common limiting factor in speeding up temperature-dependent biological processes, particularly for polymerase chain reactions. There is a need to develop a fabrication process to create thin-film microfluidic devices that can have a small thermal mass and a short microchannel-to-surface distance. This type of device requires the depth of micropatterns to be very close to the film thickness, which can encounter serious fractures during the demolding process. To overcome this challenge, we develop a soft hot embossing process to create micropatterns in a 188 µm thick cyclo-olefin polymeric (COP) film with a high embossing-depth to film-thickness ratio. The advantage of using a soft master is it can easily be peeled off from the molded film without causing a fracture from micropatterns. Polydimethylsiloxane (PDMS) is used as the soft silicone master, and four different 110 µm high micropatterns are studied, including ribs, grooves, and circular columns and cavities. PDMS masters for creating a 110 µm deep microchannel with different arrays of 70 µm deep microwells are also investigated. The heights of these one-layer and two-layer PDMS masters are 58.8% and 95.7% of the film thickness. Experimental findings show that less than 3% height variation can be achieved using a single-layer PDMS master with a low aspect ratio. For the two-layer micropatterns, it was found that a dense array with a smaller gap between microwells can have a better pattern transfer. In summary, this study demonstrates the feasibility of using a soft master to create deep or tall micropatterns in a COP film. The possibility of using a soft hot embossing process to create micropatterns for thin-film microfluidic devices is verified.
Interval-valued data correlation modeling approach for uncertain nonlinear and non-Gaussian process monitoring
Authors: Qiu Suiqing , Li Shaojun 
Published: August 2022

Abstract
Process monitoring is a crucial part of ensuring the safety and quality of industrial production, and fault detection is a particularly critical step. As a departure from the dimensionality reduction strategy commonly used in fault detection methods, this paper aims to create a statistical model by directly extracting complex correlations among variables with nonlinearity and non-Gaussian properties. Uncertainties in measurement data in an actual process can significantly impact the control decision based on a monitoring model, so interval-valued description strategy is introduced to effectively take the uncertainties into account. Moreover, we improved upon the traditional interval-valued data generation method using moving window technology combine the receiver-operator characteristic curve to construct intervals based on sample mean and standard deviation (SD), which makes full use of the data information. This paper proposes a mean-SD interval vine copula (MSIVC) model for complex industrial process fault detection. The high density region and density quantile theory are introduced to determine the control boundary. The process monitoring performance of the MSIVC method is evaluated by a numerical example and the Tennessee-Eastman process. The results show that the proposed model is stable, sensitive to process faults, and yields effective monitoring results.
Automated phosphor thermometry lifetime calibration of multiple phosphors and emission lines to above 1900 K
Authors: Feuk Henrik , Nilsson Sebastian , Richter Mattias 
Published: August 2022

Abstract
A method is specified which enables lifetime calibration of multiple phosphors and emission lines at the same time to temperatures above 1900 K. The experimental setup and algorithm used for data collection and experimental equipment control are described. The phosphors were coated on an alumina oxide disc and the reference temperature was measured using three type B thermocouples. The algorithm automates the data collection process such that no input from an operator is required during operation. The potential systematic error in calibration temperature was evaluated and was less than 1% around 1400 K.