bluuebunny/crossref_metadata_2025_split huggingface dataset:
Harnessing originally robust yeast for rapid lactic acid bioproduction without detoxification and neutralization
Authors: Pangestu Radityo , Kahar Prihardi , Kholida Lutfi Nia , Perwitasari Urip , Thontowi Ahmad , Fahrurrozi  , Lisdiyanti Puspita , Yopi  , Ogino Chiaki , Prasetya Bambang , Kondo Akihiko 
Published: August 2022

AbstractAcidic and chemical inhibitor stresses undermine efficient lactic acid bioproduction from lignocellulosic feedstock. Requisite coping treatments, such as detoxification and neutralizing agent supplementation, can be eliminated if a strong microbial host is employed in the process. Here, we exploited an originally robust yeast, Saccharomyces cerevisiae BTCC3, as a production platform for lactic acid. This wild-type strain exhibited a rapid cell growth in the presence of various chemical inhibitors compared to laboratory and industrial strains, namely BY4741 and Ethanol-red. Pathway engineering was performed on the strain by introducing an exogenous LDH gene after disrupting the PDC1 and PDC5 genes. Facilitated by this engineered strain, high cell density cultivation could generate lactic acid with productivity at 4.80 and 3.68 g L−1 h−1 under semi-neutralized and non-neutralized conditions, respectively. Those values were relatively higher compared to other studies. Cultivation using real lignocellulosic hydrolysate was conducted to assess the performance of this engineered strain. Non-neutralized fermentation using non-detoxified hydrolysate from sugarcane bagasse as a medium could produce lactic acid at 1.69 g L−1 h−1, which was competitive to the results from other reports that still included detoxification and neutralization steps in their experiments. This strategy could make the overall lactic acid bioproduction process simpler, greener, and more cost-efficient.
Urinary bio-monitoring of amphetamine derivatives by needle trap device packed with the zirconium-based metal–organic framework
Authors: Rahimpoor Razzagh , Firoozichahak Ali , Alizadeh Saber , Nematollahi Davood 
Published: August 2022

AbstractIn this research, zirconium-based metal–organic framework was utilized as a novel and efficient porous adsorbent for headspace extraction of Amphetamine, Methamphetamine, and Fenfluramine from the urine samples by a needle trap device (NTD). The Zr-UiO-66-PDC was electrosynthesized at the green conditions and characterized by various analyses such as FT-IR, XRD, FE-SEM, EDS, and elemental mapping techniques. Then, the effective parameters on the NTD efficiency such as salt content, pH, extraction/desorption temperature and time were evaluated and optimized by response surface methodology. The optimal extraction of amphetamine compounds was accomplished in 50 min at 70 ºC at the situation with NaCl content of 27% and pH: 11.90. The limit of detection, and limit of quantification factors were determined to be 0.06–0.09 and 0.5–0.8 ng mL−1, respectively. Furthermore, the precision and accuracy (intra- and inter-day) of the employed procedure in the term of relative standard deviation (RSD) were calculated in the range of 8.0–9.0% and 6.8–9.8%, respectively. Also, the recovery percent of the extracted analytes were concluded in the range of 95.0–97.0% after 10 days from the sampling and storage at 4 °C. Finally, the proposed procedure was involved in the analysis of amphetamine compounds in the real urine samples. These results were proved the proposed Zr-UiO-66-PDC@HS-NTD technique coupled with GC-FID can be used as an eco-friendly, fast-response, sensitive, and efficient drug test procedure for trace analysis of the amphetamine compounds in urine samples.
Factorization by quantum annealing using superconducting flux qubits implementing a multiplier Hamiltonian
Authors: Saida Daisuke , Hidaka Mutsuo , Imafuku Kentaro , Yamanashi Yuki 
Published: August 2022

AbstractPrime factorization (P = M × N) is a promising application for quantum computing. Shor’s algorithm is a key concept for breaking the limit for analyzing P, which cannot be effectively solved by classical computation; however, the algorithm requires error-correctable logical qubits. Here, we describe a quantum annealing method for solving prime factorization. A superconducting quantum circuit with native implementation of the multiplier Hamiltonian provides combinations of M and N as a solution for number P after annealing. This circuit is robust and can be expanded easily to scale up the analysis. We present an experimental and theoretical exploration of the multiplier unit. We demonstrate the 2-bit factorization in a circuit simulation and experimentally at 10 mK. We also explain how the current conditions can be used to obtain high success probability and all candidate factorized elements.
Wireless power transfer system for deep-implanted biomedical devices
Authors: Iqbal Amjad , Sura Penchala Reddy , Al-Hasan Muath , Mabrouk Ismail Ben , Denidni Tayeb A. 
Published: August 2022

AbstractIn this paper, a dual-band implantable rectenna is proposed for recharging and operating biomedical implantable devices at 0.915 and 2.45 GHz. The rectenna system consists of a compact dual-band antenna based on a meandered-resonator as well as efficient dual-band rectifier circuit. Both components (antenna and rectifier) are integrated inside a capsule device to simulate and experimentally validate the rectenna. The antenna occupies lower volume ($$5 \times 5.25 \times 0.25$$

5
×
5.25
×
0.25

$$\hbox {mm}^{3}$$

mm
3

), where compactness is achieved using meandered geometry and a slotted ground plane. It maintains quasi-omnidirectional radiation patterns and peak realized gains of −22.1 dBi (915 MHz) and −19.6 dBi (2.45 GHz); thus, its capability is enhanced to harvest the ambient energy from multiple directions. Moreover, a dual-band rectifier is designed using a dual-branch matching network (an L-matching network and open-circuited stub in each branch) with a radio frequency (RF) to direct current (DC) conversion efficiency of 79.9% for the input power of 1 dBm (lower band: 0.915 GHz) and 72.8% for the input power of 3 dBm (upper band: 2.45 GHz). To validate the concept of the rectenna, the implantable antenna and rectifier are fabricated and attached together inside a capsule device, with the measured results verifying the simulated responses. The proposed rectenna efficiently rectifies two RF signals and effectively superimposes on a single load, thus, providing a distinct advantage compared to single-band rectennas. To the best of the authors’ knowledge, this is the first-ever implantable rectenna to perform dual-band RF signal rectification.
The effects of substrate and stacking in bilayer borophene
Authors: Mozvashi Shobair Mohammadi , Givi Mojde Rezaee , Tagani Meysam Bagheri 
Published: August 2022

AbstractBilayer borophene has recently attracted much interest due to its outstanding mechanical and electronic properties. The interlayer interactions of these bilayers are reported differently in theoretical and experimental studies. Herein, we design and investigate bilayer $$\beta _{12}$$

β
12

borophene, by first-principles calculations. Our results show that the interlayer distance of the relaxed AA-stacked bilayer is about 2.5 Å, suggesting a van der Waals interlayer interaction. However, this is not supported by previous experiments, therefore by constraining the interlayer distance, we propose a preferred model which is close to experimental records. This preferred model has one covalent interlayer bond in every unit cell (single-pillar). Further, we argue that the preferred model is nothing but the relaxed model under a 2% compression. Additionally, we designed three substrate-supported bilayers on the Ag, Al, and Au substrates, which lead to double-pillar structures. Afterward, we investigate the AB stacking, which forms covalent bonds in the relaxed form, without the need for compression or substrate. Moreover, phonon dispersion shows that, unlike the AA stacking, the AB stacking is stable in freestanding form. Subsequently, we calculate the mechanical properties of the AA and AB stackings. The ultimate strengths of the AA and the AB stackings are 29.72 N/m at 12% strain and 23.18 N/m at 8% strain, respectively. Moreover, the calculated Young’s moduli are 419 N/m and 356 N/m for the AA and the AB stackings, respectively. These results show the superiority of bilayer borophene over bilayer $$\hbox {MoS}_2$$

MoS
2

in terms of stiffness and compliance. Our results can pave the way of future studies on bilayer borophene structures.
Somatic mutations in single human cardiomyocytes reveal age-associated DNA damage and widespread oxidative genotoxicity
Authors: Choudhury Sangita , Huang August Yue , Kim Junho , Zhou Zinan , Morillo Katherine , Maury Eduardo A. , Tsai Jessica W. , Miller Michael B. , Lodato Michael A. , Araten Sarah , Hilal Nazia , Lee Eunjung Alice , Chen Ming Hui , Walsh Christopher A. 
Published: August 2022

AbstractThe accumulation of somatic DNA mutations over time is a hallmark of aging in many dividing and nondividing cells but has not been studied in postmitotic human cardiomyocytes. Using single-cell whole-genome sequencing, we identified and characterized the landscape of somatic single-nucleotide variants (sSNVs) in 56 single cardiomyocytes from 12 individuals (aged from 0.4 to 82 years). Cardiomyocyte sSNVs accumulate with age at rates that are faster than in many dividing cell types and nondividing neurons. Cardiomyocyte sSNVs show distinctive mutational signatures that implicate failed nucleotide excision repair and base excision repair of oxidative DNA damage, and defective mismatch repair. Since age-accumulated sSNVs create many damaging mutations that disrupt gene functions, polyploidization in cardiomyocytes may provide a mechanism of genetic compensation to minimize the complete knockout of essential genes during aging. Age-related accumulation of cardiac mutations provides a paradigm to understand the influence of aging on cardiac dysfunction.
Na2B11H13 and Na11(B11H14)3(B11H13)4 as potential solid-state electrolytes for Na-ion batteries
Authors: Souza Diego H. P. , D'Angelo Anita M. , Humphries Terry D. , Buckley Craig E. , Paskevicius Mark 
Published: August 2022

Na2B11H13 and Na11(B11H14)3(B11H13)4 exhibit ionic conductivity above 1 mS cm−1 at 100 °C and an electrochemical stability of 2.1 V vs. Na+/Na. Na11(B11H14)3(B11H13)4 partially stabilises the high temeprature polymorph at 25 °C, which enhances Na+ conductivity.
Swallowing and Motor Speech Skills in Unilateral Cerebral Palsy: Novel Findings From a Preliminary Cross-Sectional Study
Authors: Malandraki Georgia A. , Mitchell Samantha S. , Hahn Arkenberg Rachel E. , Brown Barbara , Craig Bruce Α. , Burdo-Hartman Wendy , Lundine Jennifer P. , Darling-White Meghan , Goffman Lisa 
Published: August 2022

Purpose:
Our purpose was to start examining clinical swallowing and motor speech skills of school-age children with unilateral cerebral palsy (UCP) compared to typically developing children (TDC), how these skills relate to each other, and whether they are predicted by clinical/demographic data (age, birth history, lesion type, etc.).

Method:
Seventeen children with UCP and 17 TDC (7–12 years old) participated in this cross-sectional study. Feeding/swallowing skills were evaluated using the Dysphagia Disorder Survey (DDS) and a normalized measure of mealtime efficiency (normalized mealtime duration, i.e., nMD). Motor speech was assessed via speech intelligibility and speech rate measures using the Test of Children's Speech Plus. Analyses included nonparametric bootstrapping, correlation analysis, and multiple regression.

Results:

Children with UCP exhibited more severe (higher) DDS scores (
p
= .0096, Part 1;
p
= .0132, Part 2) and reduced speech rate than TDC (
p
= .0120). Furthermore, in children with UCP, total DDS scores were moderately negatively correlated with speech intelligibility (words:
r
= −.6162,
p
= .0086; sentences:
r
= −.60792,
p
= .0096). Expressive language scores were the only significant predictor of feeding and swallowing performance, and receptive language scores were the only significant predictor of motor speech skills.

Conclusions:
Swallowing and motor speech skills can be affected in school-age children with UCP, with wide variability of performance also noted. Preliminary cross-system interactions between swallowing, speech, and language are observed and might support the complex relationships between these domains. Further understanding these relationships in this population could have prognostic and/or therapeutic value and warrants further study.
Insilico Docking Study of Isoxazole Indole Linked Resorcinol
Derivatives as Promising Selective Estrogen Receptor Modulators &
Anticancer Drugs
Authors: Iyer Jayashree Monikanta , Khare Aradhana , Pandey Jaya 
Published: August 2022

AbstractA series of 9 compounds with isoxazole-indole-γ-resorcylic acid scaffold,
segregated into B1 & A1 series, wherein, B1 comprises compounds:1,3,4,5,
& 9 and A1comprises compounds: 2,6,7, & 8 , on the basis of
variable substituents at the indole , resorcinol and isoxazole end of the
scaffold as in Fig. 1, were designed and docked with human estrogen
receptor:1ERRα. The binding affinity (BA) and the interacting amino
acids compared with reference selective estrogen receptor modulators (SERMs)
such as Raloxifene, Estradiol, Bazedoxifene, Bisphenol, Genistein, Daidzein,
Ormiloxifene,Tamoxifen,6-hydroxy-naphthalen-2yl-benzo(D)-isoxazol-6-ol(1)(WAY-397)
using PyRx software and their ADME properties predicted with SWISS ADME online
tool. Significant similarities and minor differences in the binding pattern
between the key interacting aminoacids such as Arg 394,Glu 353, Asp 351, Leu
346, Leu 525, Trp 383,Phe 404 ,Ala 350, Leu 387, Met 421 responsible for ER
agonist/antagonist activity found in the binding cavity of a 1
Errα -Bazedoxifene/1 Errα -raloxifene/1
Errα -estradiol docked complex AND 1 Errα -isoxazole-indole-
resorcinol docked complex indicate their promising potential to serve as potent
ER agonists in bone or ER antagonists against breast cancer and other cancer
diseases. The Compounds with Highest BA is of the order: BA
(A1series)>B1 series &
BA(6)=BA(8)>BA(7)>BA(2)>BA(9)=BA(1)>BA(3)>BA(4)=BA(5)
Adipose Tissue Dysfunction: Impact on Metabolic Changes?
Authors: Morais Jennifer Beatriz Silva , Dias Thaline Millany da Silva , Cardoso Bruna Emanuele Pereira , de Paiva Sousa Mickael , Sousa Thayanne Gabryelle Visgueira de , Araújo Diana Stefany Cardoso de , Marreiro Dilina do Nascimento 
Published: August 2022

AbstractAdipose tissue is a metabolically dynamic organ that is the primary site of storage for excess energy, but it serves as an endocrine organ capable of synthesizing a number of biologically active compounds that regulate metabolic homeostasis. However, when the capacity of expansion of this tissue exceeds, dysfunction occurs, favoring ectopic accumulation of fat in the visceral, which has been implicated in several disease states, most notably obesity. This review highlights the mechanisms involved in the structure of adipose tissue, tissue expandability, adipocyte dysfunction, as well as the impact of these events on the manifestation of important metabolic disorders associated with adipose tissue dysfunction. A literature search using Pubmed, Web of Science, Scopus, and Cochrane databases were used to identify relevant studies, using clinical trials, experimental studies in animals and humans, case-control studies, case series, letters to the editor, and review articles published in English, without restrictions on year of publication. The excessive ectopic lipid accumulation leads to local inflammation and insulin resistance. Indeed, overnutrition triggers uncontrolled inflammatory responses white adipose tissue, leading to chronic low-grade inflammation, therefore fostering the progression of important metabolic disorders. Thus, it is essential to advance the understanding of the molecular mechanisms involved in adipose tissue dysfunction in order to mitigate the negative metabolic consequences of obesity.
Post-EMR for colorectal polyps, thermal ablation of defects reduces adenoma recurrence: A meta-analysis
Authors: Kandel Pujan , Hussain Murtaza , Yadav Deepesh , Dhungana Santosh K. , Brahmbhatt Bhaumik , Raimondo Massimo , Lukens Frank J. , Bachuwa Ghassan , Wallace Michael B. 
Published: August 2022

Abstract
Background and study aims Adenoma recurrence is one of the key limitations of endoscopic mucosal resection (EMR), which occurs in 15 % to 30 % of cases during first surveillance colonoscopy. The main hypothesis behind adenoma recurrence is leftover micro-adenomas at the margins of post-EMR defects. In this systematic review and meta-analysis, we evaluated the efficacy of snare tip soft coagulation (STSC) at the margins of mucosal defects to reduce adenoma recurrence and bleeding complications.
Methods Electronic databases such as PubMed and the Cochrane library were used for systematic literature search. Studies with polyps only resected by piecemeal EMR and active treatment: with STSC, comparator: non-STSC were included. A random effects model was used to calculate the summary of risk ratio and 95 % confidence intervals. The main outcome of the study was to compare the effect of STSC versus non-STSC with respect to adenoma recurrence at first surveillance colonoscopy after thermal ablation of post-EMR defects.
Results Five studies were included in the systematic review and meta-analysis. The total number patients who completed first surveillance colonoscopy (SC1) in the STSC group was 534 and in the non-STSC group was 514. The pooled adenoma recurrence rate was 6 % (37 of 534 cases) in the STSC arm and 22 % (115 of 514 cases) in the non-STSC arm, (odds ratio [OR] 0.26, 95 % confidence interval [CI], 0.16–0.41, P = 0.001). The pooled delayed post-EMR bleeding rate 19 % (67 of 343) in the STSC arm and 22 % (78 of 341) in the non-STSC arm (OR 0.82, 95 %CI, 0.57–1.18).
Conclusions Thermal ablation of post-EMR defects significantly reduces adenoma recurrence at first surveillance colonoscopy.
Health Information Technology Use among Chronic Disease Patients: An Analysis of the United States Health Information National Trends Survey
Authors: Rajamani Geetanjali , Lindemann Elizabeth , Evans Michael D. , Pillai Raghu , Badlani Sameer , Melton Genevieve B. 
Published: August 2022

Abstract
Background Chronic disease is the leading cause of mortality in the United States. Health information technology (HIT) tools show promise for improving disease management.
Objectives This study aims to understand the following: (1) how self-perceptions of health compare between those with and without disease; (2) how HIT usage varies between chronic disease profiles (diabetes, hypertension, cardiovascular disease, pulmonary disease, depression, cancer, and comorbidities); (3) how HIT trends have changed in the past 6 years; and (4) the likelihood that a given chronic disease patient uses specific HIT tools.
Methods The Health Information National Trends Survey (HINTS) inclusive of 2014 to 2020 served as the primary data source with statistical analysis completed using Stata. Bivariate analyses and two-tailed t-tests were conducted to compare self-perceived health and HIT usage to chronic disease. Logistic regression models were created to examine the odds of a specific patient using various forms of HIT, controlling for demographics and comorbidities.
Results Logistic regression models controlling for sociodemographic factors and comorbidities showed that pulmonary disease, depression, and cancer patients had an increased likelihood of using HIT tools, for example, depression patients had an 81.1% increased likelihood of looking up health information (p < 0.0001). In contrast, diabetic, high blood pressure, and cardiovascular disease patients appeared to use HIT tools at similar rates to patients without chronic disease. Overall HIT usage has increased during the timeframe examined.
Conclusion This study demonstrates that certain chronic disease cohorts appear to have greater HIT usage than others. Further analysis should be done to understand what factors influence patients to utilize HIT which may provide additional insights into improving design and user experience for other populations with the goal of improving management of disease. Such analyses could also establish a new baseline to account for differences in HIT usage as a direct consequence of the novel coronavirus disease 2019 (COVID-19) pandemic.
Fabrication of grooved LGS resonators based high temperature SAW sensors and analysis with FEM simulation
Authors: Shan Qingchuan , Shi Ruchuan , Zhang Qilun , Hao Wenchang , Luo Wei , Han Tao 
Published: August 2022

Abstract
Langasite (LGS) based surface acoustic wave (SAW) sensors are widely used in high temperature circumstances due to their advantages of being passive and wireless. In this research, the platinum electrodes are deposited into the grooves of the LGS instead of on the surface to further improve the acoustic properties and prolong the lifetime of the resonators at high temperature. Proper MEMS fabrication techniques are proposed to fabricate such structures. The result of every step is evaluated, and the corresponding process parameters are optimized. With the optimal processes, two types of resonators with different Euler angles of (0∘, 22∘, 30∘) and (0∘, 22∘, 90∘) are fabricated on the LGS substrate. Furthermore, the process-influenced structure parameters such as metal ratio and sidewall angle are well investigated via a weak form nonlinear finite element method simulation model. The temperature dependence of the resonance frequency is measured, and the recorded thermal behaviors match well with the prediction of the simulation. In addition, the further endurance test shows that the devices could work at 1000 ∘C for 12 h. This research proves the validity of the grooved resonator structure and the prominent role of the simulation model in further optimizing the LGS-based SAW devices design.
Quantitative signal quality assessment for large-scale continuous scalp electroencephalography from a big data perspective
Authors: Zhao Lingling , Zhang Yufan , Yu Xue , Wu Hanxi , Wang Lei , Li Fali , Duan Mingjun , Lai Yongxiu , Liu Tiejun , Dong Li , Yao Dezhong 
Published: August 2022

Abstract

Objective. Despite electroencephalography (EEG) being a widely used neuroimaging technique with an excellent temporal resolution, in practice, the signals are heavily contaminated by artifacts masking responses of interest in an experiment. It is thus essential to guarantee a prompt and effective detection of artifacts that provides quantitative quality assessment (QA) on raw EEG data. This type of pipeline is crucial for large-scale EEG studies. However, current EEG QA studies are still limited. Approach. In this study, combined from a big data perspective, we therefore describe a quantitative signal quality assessment pipeline, a stable and general threshold-based QA pipeline that automatically integrates artifact detection and new QA measures to assess continuous resting-state raw EEG data. One simulation dataset and two resting-state EEG datasets from 42 healthy subjects and 983 clinical patients were utilized to calibrate the QA pipeline. Main Results. The results demonstrate that (1) the QA indices selected are sensitive: they almost strictly and linearly decrease as the noise level increases; (2) stable, replicable QA thresholds are valid for other experimental and clinical EEG datasets; and (3) use of the QA pipeline on these datasets reveals that high-frequency noises are the most common noises in EEG practice. The QA pipeline is also deployed in the WeBrain cloud platform (https://webrain.uestc.edu.cn/, the Chinese EEG Brain Consortium portal). Significance. These findings suggest that the proposed QA pipeline may be a stable and promising approach for quantitative EEG signal quality assessment in large-scale EEG studies.