bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on diagnosis method of series arc fault of three-phase load based on SSA-ELM
Authors: Li Bin , Jia Shihao
Published: January 2022

Arc fault in the three-phase load circuit may cause fire, resulting in production interruption and even worse, it will cause casualties. In order to effectively detect the arc fault in the three-phase circuit, series arc fault experiments of three-phase motor load and frequency converter were carried out under different current conditions. Firstly, variational mode decomposition (VMD) was performed for each cycle of A-phase current, and then the VMD energy entropy and sample entropy were calculated. Secondly, the noise-dominated component was removed according to the permutation entropy, then the average value after first-order difference of the half-cycle reconstructed signal was obtained. An arc fault diagnosis model of extreme learning machine (ELM) optimized by sparrow search algorithm (SSA) was established. The feature vectors were divided into training group and test group to train the model and test its fault diagnosis accuracy. Compared with GA-ELM, PSO-ELM, support vector machine (SVM) and SSA-SVM, the experimental results show that the proposed method can identify the series arc fault accurately and more quickly.
An explainable machine learning framework for lung cancer hospital length of stay prediction
Authors: Alsinglawi Belal , Alshari Osama , Alorjani Mohammed , Mubin Omar , Alnajjar Fady , Novoa Mauricio , Darwish Omar
Published: January 2022

This work introduces a predictive Length of Stay (LOS) framework for lung cancer patients using machine learning (ML) models. The framework proposed to deal with imbalanced datasets for classification-based approaches using electronic healthcare records (EHR). We have utilized supervised ML methods to predict lung cancer inpatients LOS during ICU hospitalization using the MIMIC-III dataset. Random Forest (RF) Model outperformed other models and achieved predicted results during the three framework phases. With clinical significance features selection, over-sampling methods (SMOTE and ADASYN) achieved the highest AUC results (98% with CI 95%: 95.3–100%, and 100% respectively). The combination of Over-sampling and under-sampling achieved the second-highest AUC results (98%, with CI 95%: 95.3–100%, and 97%, CI 95%: 93.7–100% SMOTE-Tomek, and SMOTE-ENN respectively). Under-sampling methods reported the least important AUC results (50%, with CI 95%: 40.2–59.8%) for both (ENN and Tomek- Links). Using ML explainable technique called SHAP, we explained the outcome of the predictive model (RF) with SMOTE class balancing technique to understand the most significant clinical features that contributed to predicting lung cancer LOS with the RF model. Our promising framework allows us to employ ML techniques in-hospital clinical information systems to predict lung cancer admissions into ICU.
Peripheral lymphocyte count as a surrogate marker of immune checkpoint inhibitor therapy outcomes in patients with non-small-cell lung cancer
Authors: Lee Ye Jin , Park Young Sik , Lee Hyun Woo , Park Tae Yoen , Lee Jung Kyu , Heo Eun Young
Published: January 2022

Degree of expression of programmed death-ligand 1 (PD-L1) is related with Immune check point inhibitors (ICIs) response but it needs sufficient tumor tissue. There is unmet need for easily accessible and prognostic peripheral blood (PB) biomarkers. We investigated the application of serum peripheral lymphocyte count (PLC) as a predictive PB biomarker for ICI response in patients with NSCLC. We conducted a retrospective study and reviewed the patients with NSCLC who were treated with ICIs from April 1, 2016, to March 31, 2019. The PLC before and after 1 month of immunotherapy was collected. We evaluated the association between PLC and progression-free survival (PFS), overall survival (OS) and adverse events. A total of 231 patients were treated with ICIs for NSCLC. The median follow-up period was 4.7 months and the disease progressed in 138 patients (59.7%). Compared with the lowest quartile (Q1: the lowest 25%), the highest quartile (Q4: the highest 25%) of post-treatment PLC showed a significantly higher PFS (HR 0.28, 95% CI 0.16–0.52) and OS (HR 0.35, 95% CI 0.19–0.65) in the adjusted model. An association between adverse events and PLC was not observed. We revealed that an increased pre- and post-treatment PLC was associated with favorable PFS and OS with NSCLC patients treated with ICIs. PLC could be a helpful for ICI responses in NSCLC.
Study on synergistic system of energy-absorbing yielding anti-impact supporting structure and surrounding rock
Authors: Song Yimin , Ren He , Xu Hailiang , Guo Xu , Chen Zheng , An Dong
Published: January 2022

Through the improvement of supporting structure and the utilization of the interaction between surrounding rock and supporting structure, the synergistic system of energy-absorbing yielding anti-impact supporting structure and surrounding rock is established. The process of energy absorption device, energy-absorbing yielding anti-impact supporting structure and synergistic system under impact is simulated to analyze the properties of them. The following conclusions could be drawn. The deformation and yielding process under compression of energy absorption device is divided into five stages. Compared with the traditional supporting structure, the energy-absorbing yielding anti-impact supporting structure has the reaction force with lower value and smaller fluctuation range before the deformation of the energy absorption device reaches the third ascending section. The synergy between surrounding rock and supporting structure plays an important role in roadway support. Compared with the supporting structure without surrounding rock, the reaction force of the supporting structure in the synergistic system is lower, and a stationary stage is added in the early stage of the reaction force curve.
Frequency of the STRC-CATSPER2 deletion in STRC-associated hearing loss patients
Authors: Nishio Shin-ya , Usami Shin-ichi
Published: January 2022

The STRC gene, located on chromosome 15q15.3, is one of the genetic causes of autosomal recessive mild-to-moderate sensorineural hearing loss. One of the unique characteristics of STRC-associated hearing loss is the high prevalence of long deletions or copy number variations observed on chromosome 15q15.3. Further, the deletion of chromosome 15q15.3 from STRC to CATSPER2 is also known to be a genetic cause of deafness infertility syndrome (DIS), which is associated with not only hearing loss but also male infertility, as CATSPER2 plays crucial roles in sperm motility. Thus, information regarding the deletion range for each patient is important to the provision of appropriate genetic counselling for hearing loss and male infertility. In the present study, we performed next-generation sequencing (NGS) analysis for 9956 Japanese hearing loss patients and analyzed copy number variations in the STRC gene based on NGS read depth data. In addition, we performed Multiplex Ligation-dependent Probe Amplification analysis to determine the deletion range including the PPIP5K1, CKMT1B, STRC and CATSPER2 genomic region to estimate the prevalence of the STRC-CATSPER deletion, which is causative for DIS among the STRC-associated hearing loss patients. As a result, we identified 276 cases with STRC-associated hearing loss. The prevalence of STRC-associated hearing loss in Japanese hearing loss patients was 2.77% (276/9956). In addition, 77.1% of cases with STRC homozygous deletions carried a two copy loss of the entire CKMT1B-STRC-CATSPER2 gene region. This information will be useful for the provision of more appropriate genetic counselling regarding hearing loss and male infertility for the patients with a STRC deletion.
Female and male mice have differential longterm cardiorenal outcomes following a matched degree of ischemia–reperfusion acute kidney injury
Authors: Soranno Danielle E. , Baker Peter , Kirkbride-Romeo Lara , Wennersten Sara A. , Ding Kathy , Keith Brysen , Cavasin Maria A. , Altmann Christopher , Bagchi Rushita A. , Haefner Korey R. , Montford John , Gist Katja M. , Vergnes Laurent , Reue Karen , He Zhibin , Elajaili Hanan , Okamura Kayo , Nozik Eva , McKinsey Timothy A. , Faubel Sarah
Published: January 2022

Acute kidney injury (AKI) is common in patients, causes systemic sequelae, and predisposes patients to long-term cardiovascular disease. To date, studies of the effects of AKI on cardiovascular outcomes have only been performed in male mice. We recently demonstrated that male mice developed diastolic dysfunction, hypertension and reduced cardiac ATP levels versus sham 1 year after AKI. The effects of female sex on long-term cardiac outcomes after AKI are unknown. Therefore, we examined the 1-year cardiorenal outcomes following a single episode of bilateral renal ischemia–reperfusion injury in female C57BL/6 mice using a model with similar severity of AKI and performed concomitantly to recently published male cohorts. To match the severity of AKI between male and female mice, females received 34 min of ischemia time compared to 25 min in males. Serial renal function, echocardiograms and blood pressure assessments were performed throughout the 1-year study. Renal histology, and cardiac and plasma metabolomics and mitochondrial function in the heart and kidney were evaluated at 1 year. Measured glomerular filtration rates (GFR) were similar between male and female mice throughout the 1-year study period. One year after AKI, female mice had preserved diastolic function, normal blood pressure, and preserved levels of cardiac ATP. Compared to males, females demonstrated pathway enrichment in arginine metabolism and amino acid related energy production in both the heart and plasma, and glutathione in the plasma. Cardiac mitochondrial respiration in Complex I of the electron transport chain demonstrated improved mitochondrial function in females compared to males, regardless of AKI or sham. This is the first study to examine the long-term cardiac effects of AKI on female mice and indicate that there are important sex-related cardiorenal differences. The role of female sex in cardiovascular outcomes after AKI merits further investigation.
Local adaptation and colonization are potential factors affecting sexual competitiveness and mating choice in Anopheles coluzzii populations
Authors: Nignan Charles , Poda Bèwadéyir Serge , Sawadogo Simon Péguédwindé , Maïga Hamidou , Dabiré Kounbobr Roch , Gnankine Olivier , Tripet Frédéric , Roux Olivier , Diabaté Abdoulaye
Published: January 2022

The mating behaviour of the malaria vectorAnopheles gambiaecomplex is an important aspect of its reproduction biology. The success of mosquito release programmes based on genetic control of malaria crucially depends on competitive mating between both laboratory-reared and wild individuals, and populations from different localities. It is known that intrinsic and extrinsic factors can influence the mating success. This study addressed some of the knowledge gaps about factors influcencing mosquito mating success. In semi-field conditions, the study compared the mating success of three laboratory-reared and wild allopatricAn. coluzziipopulations originating from ecologically different locations in Burkina Faso. Overall, it was found that colonization reduced the mating competitiveness of both males and females compared to that of wild type individuals. More importly, females were more likely to mate with males of their own population of origin, be it wild or colonised, suggesting that local adaptation affected mate choice. The observations of mating behaviour of colonized and local wild populations revealed that subtle differences in behaviour lead to significant levels of population-specific mating. This is the first study to highlight the importance of local adaptation in the mating success, thereby highlighting the importance of using local strains for mass-rearing and release ofAn. coluzziiin vector control programmes.
Global-scale interdecadal variability a skillful predictor at decadal-to-multidecadal timescales for Sahelian and Indian Monsoon Rainfall
Authors: Joshi Manish K. , Rai Archana , Kulkarni Ashwini
Published: January 2022

In the present study, a sea surface temperature-based index named global-scale interdecadal variability (GIV) encompassing the combined variability of Atlantic multidecadal oscillation (AMO) and interdecadal Pacific oscillation (IPO) has been proposed. The warm phase of GIV exhibits a “cold AMO-like” pattern in the Atlantic basin and a “warm IPO-like” pattern in the Pacific basin. About 84% (R ~−0.914) of Sahelian and 42% (R ~−0.647) of Indian rainfall’s temporal variance is attributed to GIV, showing substantial improvement compared to the variance explained by AMO and IPO individually. The physical mechanism for GIV-rainfall teleconnection is related to a modification of the Walker circulation. Although there is a substantial degree of uncertainty in the current generation of state-of-the-art climate models from the Coupled Model Intercomparison Project Phase 5 (CMIP5), some still replicate the observed GIV’s spatial structure, its teleconnection, and associated physical mechanism. The results presented herein advance our knowledge about rainfall’s interdecadal variability and have imperative ramifications for developing skillful decadal predictions.
SARS-CoV-2 infection induces a pro-inflammatory cytokine response through cGAS-STING and NF-κB
Authors: Neufeldt Christopher J. , Cerikan Berati , Cortese Mirko , Frankish Jamie , Lee Ji-Young , Plociennikowska Agnieszka , Heigwer Florian , Prasad Vibhu , Joecks Sebastian , Burkart Sandy S. , Zander David Y. , Subramanian Baskaran , Gimi Rayomand , Padmanabhan Seetharamaiyer , Iyer Radhakrishnan , Gendarme Mathieu , El Debs Bachir , Halama Niels , Merle Uta , Boutros Michael , Binder Marco , Bartenschlager Ralf
Published: January 2022

SARS-CoV-2 is a novel virus that has rapidly spread, causing a global pandemic. In the majority of infected patients, SARS-CoV-2 leads to mild disease; however, in a significant proportion of infections, individuals develop severe symptoms that can lead to long-lasting lung damage or death. These severe cases are often associated with high levels of pro-inflammatory cytokines and low antiviral responses, which can cause systemic complications. Here, we have evaluated transcriptional and cytokine secretion profiles and detected a distinct upregulation of inflammatory cytokines in infected cell cultures and samples taken from infected patients. Building on these observations, we found a specific activation of NF-κB and a block of IRF3 nuclear translocation in SARS-CoV-2 infected cells. This NF-κB response was mediated by cGAS-STING activation and could be attenuated through several STING-targeting drugs. Our results show that SARS-CoV-2 directs a cGAS-STING mediated, NF-κB-driven inflammatory immune response in human epithelial cells that likely contributes to inflammatory responses seen in patients and could be therapeutically targeted to suppress severe disease symptoms.
A wearable screen-printed SERS array sensor on fire-retardant fibre gloves for on-site environmental emergency monitoring
Authors: Li Xue-Jian , Li Yuan-Ting , Gu Hai-Xin , Xue Peng-Fei , Qin Li-Xia , Han Sheng
Published: January 2022

The wearable SERS array sensor was fabricated on fire-retardant gloves for on-site environmental emergency monitoring.
Preparation of enantioenriched helical- and axial-chiral molecules by dynamic asymmetric induction
Authors: Kawasaki Yuuya , Kamikubo Ryota , Kumegawa Yuta , Ogawa Kouhei , Kashiwagi Takeru , Ano Yusuke , Igawa Kazunobu , Tomooka Katsuhiko
Published: January 2022

DYASIN of racemic dynamic chiral heterohelicenes afforded their highly enantioenriched forms in quantitative yields. These heterohelicenes were readily converted into semi-static axial-chiral 1,1′-binaphthyl derivatives in a stereospecific manner.
Rational design of a self-assembled surfactant film in nanopipettes: combined fluorescence and electrochemical sensing
Authors: Liu Qi , Ding Shushu , Shi Guoyue , Zhu Anwei
Published: January 2022

We developed a facile and generalizable nanopipette functionalization method based on the formation of a self-assembled surfactant film.
Gas phase ion chemistry of titanium–oxofullerene with ligated solvents
Authors: Roy Jayoti , Chakraborty Papri , Paramasivam Ganesan , Natarajan Ganapati , Pradeep Thalappil
Published: January 2022

Gas phase fragmentation events of fullerene-like titanium oxo-cluster anions were investigated in detail. The fragmentation channel of the ions was comparable to the fragmentation of C60 ions with systematic C2 losses which is a consequence of topological similarity.
High activity of step sites on Pd nanocatalysts in electrocatalytic dechlorination
Authors: Lou Yao-Yin , Xiao Chi , Fang Jiayi , Sheng Tian , Ji Lifei , Zheng Qizheng , Xu Bin-Bin , Tian Na , Sun Shi-Gang
Published: January 2022

Stronger CO bond adsorption and higher generation on step sites than terrace sites give a high dechlorination selectivity.
Symmetrical cyclo-N5− hydrogen bonds: stabilization mechanism of four non-metallic cyclo-pentazolate energetic salts
Authors: Li Xiang , Long Yao , Zhang Chong , Sun Chengguo , Hu Bingcheng , Lu Pengfei , Chen Jun
Published: January 2022

Pairing different cations (R+) to stabilize cyclo-N5− is the main synthesis path for non-metallic cyclo-pentazolate (cyclo-N5−) salts.
Localized X-ray photoelectron impedance spectroscopy (LoXPIS) for capturing charge dynamics of an ionic liquid electrolyte within an energy storage device
Authors: Başaran Mustafa , Oz Erdinc , Ergoktas Said , Kocabas Coskun , Ulgut Burak , Kocabas Askin , Suzer Sefik
Published: January 2022

XPS data recorded under AC modulation together with simulations allows extraction of impedance-type information.
Inhibitory effects of Atlantic cod (Gadus morhua) peptides on RANKL-induced osteoclastogenesis in vitro and osteoporosis in ovariectomized mice
Authors: Yang Meilian , Wu Di , Cheng Shuzhen , Dong Yu , Wu Chao , Wang Zhenyu , Du Ming
Published: January 2022

Gadus morhua inhibited RANKL-induced osteoclast formation by inhibiting the activation of MAPK and NF-κB pathways and reduced the bone loss caused by estrogen deficiency in OVX-mice, showing potential anti-osteoporosis activity.
Phosphoric acid-modified commercial kieselguhr supported palladium nanoparticles as efficient catalysts for low-temperature hydrodeoxygenation of lignin derivatives in water
Authors: Yangcheng Ruixue , Ran Jiansu , Liu Zhaohui , Cui Yuntong , Wang Jianjian
Published: January 2022

Phosphoric species incorporated onto commercial Celite interacting with Pd NPs greatly enhance the efficiency of low-temperature hydrodeoxygenation of lignin derivatives in water via accelerating the conversion of the generated intermediate.
Recent advances in biological production of 1,3-propanediol: new routes and engineering strategies
Authors: Zhu Fanghuan , Liu Dehua , Chen Zhen
Published: January 2022

The development of new biological routes for 1,3-propanediol production from diversified substrates using engineered producers, new chassis, and new pathways.
High-throughput concentration of rare malignant tumor cells from large-volume effusions by multistage inertial microfluidics
Authors: Xiang Nan , Ni Zhonghua
Published: January 2022

This study describes a low-cost multiplexed microfluidic concentrator that can enable high-throughput and high-CF concentration of rare cells from large-volume effusions.
Electrochemical pH regulation in droplet microfluidics
Authors: Wilder Logan M. , Thompson Jonathan R. , Crooks Richard M.
Published: January 2022

The pH of droplets moving through a microchannel is regulated in real time by water electrolysis. Resulting droplet pHs are within ±0.1 pH units of the predicted values.
Acoustic bubble for spheroid trapping, rotation, and culture: a tumor-on-a-chip platform (ABSTRACT platform)
Authors: Gao Yuan , Wu Mengren , Luan Qiyue , Papautsky Ian , Xu Jie
Published: January 2022

We present a novel acoustic bubble-based tumor-on-a-chip platform (ABSTRACT) for multi-step CTC processing on a chip (spheroid trapping, rotation, and culture).
Alkaline metal and alkaline earth metal salts of di(1H-tetrazol-5-yl)methanone (DTO): energetic catalysts for ammonium perchlorate decomposition
Authors: Li Haibo , Wang Yanna , Wei Zhenghe , Xia Lianghong , Li Zhimin , Zhang Tonglai
Published: January 2022

Six new coordination complexes were obtained and fully characterized; complexes 4 and 5 exhibit good catalytic performances on AP.
One-pot synthesis of Au-based nanocrystals via a platinum group metal anion controlled growth strategy in citrate medium
Authors: Wang Jin , Yin Chong , Han Wenjia , Ma Yaohong , Yin Yanchao , Zhao Peiyu , Song Yahui , Zhang Jihui
Published: January 2022

Finding a facile manufacturing method of Au-based low PGM content nanocrystals by exploring the reaction process of a series of PGM anions with the in situ Au NW templates.
Pressure-induced bandgap engineering and photoresponse enhancement of wurtzite CuInS2 nanocrystals
Authors: Ye Meiyan , Li Yan , Tang Ruilian , Liu Siyu , Ma Shuailing , Liu Haozhe , Tao Qiang , Yang Bin , Wang Xin , Yue Huijuan , Zhu Pinwen
Published: January 2022

Wurtzite CuInS2 exhibits great potential for optoelectronic applications because of its excellent optical properties and good stability.
A voltage-controllable VO2 based metamaterial perfect absorber for CO2 gas sensing application
Authors: Xu Xiaocan , Xu Ruijia , Lin Yu-Sheng
Published: January 2022

A voltage-controllable VO2 based metamaterial perfect absorber (MPA) is proposed for CO2 gas sensing application.
Reaction-based fluorescence probes for “turn on” sensing fluoride ions
Authors: He Wen-Ying , Liu Ning , Jiang Xu , Zheng Yan-Zhen , Lin Zhi-Wei , Shen Jiang-Shan
Published: January 2022

Two novel TPE-based fluorescence probes, TPEONO2 and TPEO(NO2)2, were synthesized to develop probes for F− ions with a fluorescence “turn on” mode via the cleavage of a sulfonyl ester bond.
Experimental and theoretical insights into the photomagnetic effects in trinuclear and ionic Cu(ii)–Mo(iv) systems
Authors: Pai TingYun , Stefanczyk Olaf , Kumar Kunal , Mathonière Corine , Sieklucka Barbara , Ohkoshi Shin-ichi
Published: January 2022

New ionic and trinuclear copper(ii)–octacyanidomolybdate(iv) systems were developed and tested experimentally and theoretically to improve understanding of the photomagnetic effects.
Chiral phosphoric acid-catalyzed regio- and enantioselective reactions of functionalized propargylic alcohols
Authors: Qian Chenxiao , Liu Meiwen , Sun Jianwei , Li Pengfei
Published: January 2022

Chiral phosphoric acid has been utilized for covalent activation of propargylic alcohols to act as pre-catalyst. With this activation mode, a range of highly regio- and enantioenriched heterocyclic products could be generated efficiently from racemic propargylic alcohols.
Ten years of Catalysis Science & Technology
Authors: Pérez-Ramírez Javier
Published: January 2022

An Editorial from Javier Pérez-Ramírez, Editor-in-Chief of Catalysis Science & Technology, on the celebration of the journal's 10th anniversary.
Emotional Speech Processing in 3- to 12-Month-Old Infants: Influences of Emotion Categories and Acoustic Parameters
Authors: Kao Chieh , Sera Maria D. , Zhang Yang
Published: January 2022

Purpose:

The aim of this study was to investigate infants' listening preference for emotional prosodies in spoken words and identify their acoustic correlates.

Method:

Forty-six 3- to-12-month-old infants (
M
age
= 7.6 months) completed a central fixation (or look-to-listen) paradigm in which four emotional prosodies (happy, sad, angry, and neutral) were presented. Infants' looking time to the string of words was recorded as a proxy of their listening attention. Five acoustic variables—mean fundamental frequency (F0), word duration, intensity variation, harmonics-to-noise ratio (HNR), and spectral centroid—were also analyzed to account for infants' attentiveness to each emotion.

Results:

Infants generally preferred affective over neutral prosody, with more listening attention to the happy and sad voices. Happy sounds with breathy voice quality (low HNR) and less brightness (low spectral centroid) maintained infants' attention more. Sad speech with shorter word duration (i.e., faster speech rate), less breathiness, and more brightness gained infants' attention more than happy speech did. Infants listened less to angry than to happy and sad prosodies, and none of the acoustic variables were associated with infants' listening interests in angry voices. Neutral words with a lower F0 attracted infants' attention more than those with a higher F0. Neither age nor sex effects were observed.

Conclusions:

This study provides evidence for infants' sensitivity to the prosodic patterns for the basic emotion categories in spoken words and how the acoustic properties of emotional speech may guide their attention. The results point to the need to study the interplay between early socioaffective and language development.
Diagnostic Decisions of Language Complexity Using Informal Language Assessment Measures
Authors: Bawayan Rebecca , Brown Jennifer A.
Published: January 2022

Purpose:

The current study aimed to understand the clinical decision-making skills of school-based speech-language pathologists (SLPs) using narrative and expository discourse information from three sources: perception of language through listening to language alone, standardized criterion-referenced narrative assessment data, and word- and morpheme-level language sample analysis data.

Method:

Twenty-eight current school-based SLPs participated in the study. During this study, participants rated language quality and made decisions regarding the provision of language services after being provided information from informal assessment measures.

Results:

SLPs' ratings of language quality and complexity varied across the story retell, wordless picture book generation, and expository samples. There was a lack of consistency in ratings within each context across areas of clarity, sample complexity, language complexity, and vocabulary across all SLPs. Self-reported factors that influenced SLPs' ratings included components of structure, syntax, and semantics. SLPs did not indicate a need for services after listening alone. When provided with criterion-referenced narrative assessment scores and word- and morpheme-level language sample data, more SLPs made a recommendation for services.

Conclusions:

The study demonstrates the need for objective language measure data during diagnostic decision making. Additionally, SLPs may not realize the information obtained from real-time perception, and analysis of language samples may be an unreliable and inconsistent picture of a child's language abilities. The results of this study highlight the need to continue to rely on multiple sources of assessment data. SLPs should continue to incorporate systematic methods to minimize variability of perceptions in the process of making diagnostic decisions.

Supplemental Material:

https://doi.org/10.23641/asha.17707451
The Case for Addressing Emotional Resilience in Graduate Student Training
Authors: Malandraki Jaime Bauer
Published: January 2022

Purpose:

The purpose of this study was to review the evidence for addressing emotional resilience in the training of graduate students in communication sciences and disorders (CSD). As helping professionals, speech-language pathologists and audiologists face unique emotional challenges that can lead to burnout, compassion fatigue, and eventually possible career changes. At the same time, we also know that graduate students across the country, in all disciplines, are in the throes of a mental health crisis. Graduate students in CSD are, therefore, in need of targeted instruction on how to foster emotional resilience both to manage the stressors of graduate school and to ensure professional wellness and career longevity.

Conclusions:

While there is currently limited research evidence on how to effectively target emotional resilience for graduate students in CSD, existing research and guidance from studies in CSD and other helping professions can provide a framework to follow. The recent mental health challenges facing our nation, and graduate students more specifically, should be seen as both a call to action and an opportunity to elevate the depth of training provided beyond core knowledge and skills to include education on wellness, self-care, and emotional resilience to develop career-long habits.
The Love and Science of Reading: A Promising Instructional Approach for Adolescent Multilingual Learners
Authors: Farran Lama K. , Griffin Robert A.
Published: January 2022

Purpose:

Adolescent multilingual learners are at high risk for reading difficulties as evidenced by persistent achievement gaps. This article calls for a paradigm shift and aims to elucidate what constitutes promising second-language literacy instruction for multilingual adolescents, comprising effective literacy practices grounded in research, combined with an emphasis on individual learners and their sociocultural development. Cast in ecological systems and functionalist perspectives, this article provides a model for language and literacy instruction that is grounded in basic tenets of reading science within a sociocultural context. We outline strategies that focus on language as a basis for reading development followed by examples of authentic learning experiences designed to motivate students and nurture their love of reading.

Conclusions:

A solution to existing achievement gaps may be a promising approach that emphasizes both the science and love of reading, which entails targeted instruction rooted in the research evidence integrated into engaging and meaningful learning experiences, central to which is the acknowledgement of multilingual learners as individuals. The authors call for an intentional focus on accelerating the development of language through frequent use of and a genuine love for both the science of reading and the science of teaching reading.
A data‐driven approach to state assessment of the converter valve based on oversampling and Shapley additive explanations
Authors: Mei Fei , Li Xuan , Zheng Jianyong , Sha Haoyuan , Li Danqi
Published: January 2022

The utilization of data‐driven artificial intelligence technology for ultra‐high voltage converter valve state assessment can improve efficiency and accuracy, but there are still problems such as imbalance of raw data and poor model interpretability. This paper aims to propose a new type of ultra‐high voltage converter valve state assessment method to solve these problems. An oversampling method that considers characteristic boundary information is proposed, which can retain and enhance the boundary information of minority samples. The balanced data are imported into categorical boosting to realize offline training and online evaluation of converter valve state assessment. An interpretability analysis framework of the converter valve state assessment model based on the Shapley additive explanations is proposed, which can explain the operation logic of the model and find the key factors that affect the assessment results. The calculation example shows that the evaluation accuracy of this method can reach up to 98.5%, and the running speed is faster than the conventional method. The results can provide guidance for the maintenance and repair of UHV converter valves.
Synthesis and intensification of a biorefinery to produce renewable aviation fuel, biofuels, bioenergy and chemical products from Jatropha Curcas fruit
Authors: Romero‐Izquierdo Araceli Guadalupe , Gutiérrez‐Antonio Claudia , Gómez‐Castro Fernando Israel , Hernández Salvador
Published: January 2022

The production of renewable aviation fuel has been explored in recent years considering different types of biomasses and several conversion pathways. The technical feasibility of the production of renewable aviation fuel has already been proved; however, the main challenge is to achieve economic and environmental sustainability regarding to its fossil counterparts. In this context, the integrated biorefineries are a potential strategy to address these challenges. Therefore, in this work it is presented the conversion of Jatropha curcas fruit through a biorefinery to produce renewable aviation fuel, biofuels, bioenergy and chemical products. The synthesis, modelling and simulation of each processing stage in the biorefinery is presented, along with its economic and environmental assessment. Moreover, the intensification of the purification zone is addressed. According to the results, biojet fuel, biodiesel, glycerol, fertilizer, green diesel, naphtha and electricity are produced through the biorefinery. In addition, less than 1% of energy savings were obtained due to intensified sequence to separate biojet fuel. Also, 90% of the total electricity consumption is covered by its generation in situ, improving the environmental sustainability of the production of renewable aviation fuel.
The effect of cosmic variance on the characteristics of dust polarization power spectra
Authors: Pelgrims V. , Ntormousi E. , Tassis K.
Published: January 2022

In the context of cosmic microwave background polarization studies and the characterization of the Galactic foregrounds, the power spectrum analysis of the thermal dust polarization sky has led to intriguing evidence of an E∕B asymmetry and a positive TE correlation. In this work, we produce synthesized dust polarization maps from a set of global magneto-hydrodynamic (MHD) simulations of Milky-Way-sized galaxies, and analyze their power spectra at intermediate angular scales (intermediate angular multipoles ℓ∈[60, 140]). We study the role of the initial configuration of the large-scale magnetic field, its strength, and the feedback on the power spectrum characteristics. Using full-galaxy MHD simulations, we were able to estimate the variance induced by the peculiar location of the observer in the galaxy. We find that the polarization power spectra sensitively depend on the observer’s location, impeding a distinction between different simulation setups. In particular, there is a clear statistical difference between the power spectra measured from within the spiral arms and those measured from the inter-arm regions. Also, power spectra from within supernova-driven bubbles share common characteristics, regardless of the underlying model. However, no correlation was found between the statistical properties of the polarization power spectra and the local (with respect to the observer) mean values of physical quantities such as the density and the strength of the magnetic field. Finally, we find some indications that the global strength of the magnetic field may play a role in shaping the power spectrum characteristics; as the global magnetic field strength increases, the E∕B asymmetry and the TE correlation increase, whereas the viewpoint-induced variance decreases. However, we find no direct correlation with the strength of the local magnetic field that permeates the mapped region of the interstellar medium.
An offline-online strategy for multiscale problems with random defects
Authors: Målqvist Axel , Verfürth Barbara
Published: January 2022

In this paper, we propose an offline-online strategy based on the Localized Orthogonal Decomposition (LOD) method for elliptic multiscale problems with randomly perturbed diffusion coefficient. We consider a periodic deterministic coefficient with local defects that occur with probability p. The offline phase pre-computes entries to global LOD stiffness matrices on a single reference element (exploiting the periodicity) for a selection of defect configurations. Given a sample of the perturbed diffusion the corresponding LOD stiffness matrix is then computed by taking linear combinations of the pre-computed entries, in the online phase. Our computable error estimates show that this yields a good approximation of the solution for small p, which is illustrated by extensive numerical experiments. This makes the proposed technique attractive already for moderate sample sizes in a Monte Carlo simulation.
Study on the influence of structure shape of semi armour piercing warhead on vertical armour piercing efficiency
Authors: Yang Lihao , Zhang Qi , He Huafeng , Liu Yan
Published: January 2022

In order to evaluate the impact of different warhead shapes on the damage efficiency of semi armour piercing warhead effectively, four common semi armour piercing warhead models are established based on Solidworks, and the deck model is established with reference to the deck data of an aircraft carrier. And then the material setting and grid division are carried out based on Ansys so as to construct the explicit dynamic simulation model. The credibility of the model is verified based on the residual velocity theory after the model being established. Finally, based on the established model, the simulation research on the influence of warhead shape on vertical armour piercing ability is carried out. The results show that under the same velocity, the armour piercing ability of sharp oval and conical warheads are better and their residual velocity are higher.
Construction of E-pH diagram and experimental study on wet synthesis of FePO4 as the precursor of cathode materials
Authors: Xue Ping , Qin Qingwei , Li Guangqiang
Published: January 2022

The preparation of FePO4 as a precursor by co-precipitation method is widely used, Due to the lack of the guidance of thermodynamic theory, The prepared FePO4 often contains impurity phase, which leads to unsatisfactory performance of LiFeO4. The E-pH diagram of Fe-P-H2O system at the temperature of 25℃ were drawn through the basic E-pH principle with a number of thermodynamic data. According to the E-pH Diagram, the pH value is approximately 2.5, and the FePO4 with less impurity can be prepared by adding proper oxidant. Base on the above mentioned condition, a simple verification experiment was carried out. The results showed that the prepared iron FePO4 had fewer impurities, which provided a theoretical basis for preparing high-performance LiFeO4.
Research on the phase-frequency relationship of the field effect amplifier front-end of shipborne USB system
Authors: Sun Fuan , Liu Zheng , Liu Huifeng
Published: January 2022

Normally, most researches on phase calibration of shipborne USB system focus on the means of phase calibration. This article starts with the research on the channel of the system. The composition of the channel is introduced, and the characteristics of the channel is analyzed. Taking the channel of the field effect amplifier front-end as the research object, a mathematical fitting algorithm is used to derive the functional relationship between the phase of the field effect amplifier front-end and the working frequency. The actual calibration data is used for simulation analysis to obtain the fitting order of the function. Combining the phase-frequency relationship of the field effect amplifier front-end and the microwave self-checking phase correction of the field effect amplifier back-end, a new phase calibration method is proposed.
Simulation of flutter suppression for a transonic fan blade based on plasma excitation
Authors: Liu Ying , Zhang Xiaobo , Zhang Fei
Published: January 2022

Along with the development of advanced high-performance aero-engines to the higher thrust-weight ratio, further improvement of stage load, the adoption of new materials and new lightweight structures, the aeroelasticity of blade structure is becoming more and more prominent. The high cycle fatigue failure of blades significantly reduces the structural reliability during the process of development and using. At the same time, a large number of failure forms of aero-engine experimental and server can be attributed to aeroelastic problems. Therefore, it is urgent to improve the aeroelastic stability of the blade. One of the most important factors is to suppress the airflow separation, but its mechanism is still unclear. Based on this, this paper combines the aerodynamic damping analysis of energy method with the plasma excitation simulation and references low-speed wind tunnel plasma expansion test to consider the effects of different exciter distributions and intensities on flutter. The results show that stall flutter is related to the flow separation, but the flow separation is not a key factor that determinates whether the flutters occurs or not. Flutter suppression is strongly correlated with the shock wave intensity, amplitude of first harmonic aerodynamic force, low-speed separation and aerodynamic work density. In addition, the relative distribution of the excitation field and the positive work zone also has a direct effect on the suppression of flutter.
Array model of shock pressure sensor for shooting point detection
Authors: Zhou Changlong , Li Yingjun , Wang Guicong , Yang Xue
Published: January 2022

The array model of double-T shock pressure sensor is established. Shock wave is produced by a supersonic object in the air. Pressure is produced in the process of shock wave transmission. Different shock pressure sensors have different time to receive the pressure signal. In this paper, the shooting point calculation model and the finite element model of the double T-shaped array method are established. The simulation experiment is carried out. The law of shock wave propagation is verified. The model can be used to calculate the coordinates of shooting point quickly. This method is suitable for small angle oblique fire location problem, and improves the detection accuracy of shooting point.
Some results about g-frames in Hilbert spaces
Authors: Luo Lan , Leng Jingsong , Xie Tingting
Published: January 2022

The concept of g-frame is a natural extension of the frame. This article mainly discusses the relationship between some special bounded linear operators and g-frames, and characterizes the properties of g-frames. In addition, according to the operator spectrum theory, the eigenvalues are introduced into the g-frame theory, and a new expression of the best frame boundary of the g-frame is given.
Almost anti-periodic solution of inertial neural networks model on time scales
Authors: Arbi Adnène , Tahri Najeh
Published: January 2022

In this work, since the importance of investigation of oscillators solutions, an methodology for proving the existence and stability of almost anti-periodic solutions of inertial neural networks model on time scales are discussed. By developing an approach based on differential inequality techniques coupled with Lyapunov function method. A numerical example is given for illustration.
Numerical simulation and combustion analysis of coal and biomass co-combustion
Authors: Li Jiahu , Wang Zhi , Ma Chi
Published: January 2022

China began entering the 14th Five-Year Plan period in 2021. With the proposed carbon-neutral long-term goal, the strategic position of clean energy is becoming increasingly prominent. using biomass power generation is one of the main application ways. In order to study the mixed combustion process of coal and biomass, this paper takes 300MW lignite boiler as the research object and uses Fluent software to explore the influence of biomass types and the location of biomass nozzle on the mixed combustion, and obtains the corresponding temperature field, flue gas component field and the distribution of pollutant NO. The results showed that when the biomass particles were sprayed into a fixed position with a certain proportion, the NO emission of wheat, corn and cotton straw was reduced, and the effect of wheat straw was the most obvious. When a certain proportion of wheat straw and coal are co-fired, the higher the biomass nozzle position, the higher the peak temperature in the main combustion zone, and the better the emission reduction effect of NO.
Research on the construction of carbon emission model of power generation industry in Jilin province
Authors: Jiang Weiwei , Song Zhiyu , Wang Zhongyan , Guo Ping
Published: January 2022

Although Jilin Province has abundant forest reserves and has a relatively large carbon neutral advantage compared to other provinces, the installed capacity of thermal power is still relatively high, and the installed capacity of renewable energy such as wind power, photovoltaic and hydropower is insufficient. This paper builds a carbon emission model for the power generation industry in Jilin Province based on the characteristics of the power generation industry in Jilin Province and years of field test experience.
Research on the economic development impact of earthquake disaster in China
Authors: Deng Guoqu , Si Jianbin , Li Li , Chen Hu
Published: January 2022

As one of the areas with frequent earthquake disasters, China’s social stability and sustained and healthy economic development have been profoundly affected for a long time. Based on the two-way fixed effect model and a series of deterministic indicators of economic development, including education level, economic development, financial development, fixed asset investment and permanent population, this paper designs a standard regression equation for estimating growth and uses time series panel data to analyze the impact of earthquake disasters on China’s economic development. The research results show that the earthquake disaster has an insignificant positive impact on China’s GDP. From the point of view of control variables, education level and financial development level have a positive effect on economic development as a whole, but there are certain differences in the degree of influence. The degree of trade openness has a significant impact on GDP, industry and service industries. Moreover, it has a negative impact on agricultural development.
Research on the impact of Chinese local government patent funding on the development of regional patent
Authors: Ji Zhigang , Dong Xinkai
Published: January 2022

This paper aims to study the impact of Chinese patent funding support on the development of regional patent layout.Data samples were selected from Guangxi, Jiangsu and non-pilot provinces, and data samples were selected from the period 2015-2018.This paper discusses the influence relationship by game theory.The conclusion is that the support of patent funding has a positive impact on economically developed areas and a negative impact on economically less developed areas.Other measures are required to eliminate the aforementioned negative effects.
Improved image inpainting exemplar-based algorithms by boundary priori-knowledge
Authors: Zhao Junhong , Tan Jintao , Huang Yaobin , Lu Chuanlong
Published: January 2022

Image inpainting plays an important role in restoration of cultural relics, pictures beautification. Criminisi algorithm creates good results in large-area inpainting. However, it does still have some deficiencies such as over-extending. In this paper, two improved algorithms based on prior knowledge of the boundary had been proposed by simulating the idea of manual repairing. An algorithm, by simulating the strategy that the next inpainted pixel will be near to the prior one, named nearer neighbor first algorithm, can void the random bounding of the to-be-inpainted pixle. Another algorithm, by simulating the strategy that the inpainting process, named no-inpainted first algorithm, will be in multiple directions, can void the inpainting process in a single direction. The results reveal that the neighborhood-first algorithm performs better than Criminsi algorithm in repairing the missing structure while the unrepaired-first algorithm performs better than Criminsi algorithm in repairing the missing texture.