bluuebunny/crossref_metadata_2025_split huggingface dataset:
Metal nanoparticles/carbon nanosheets-derived from covalent organic frameworks for electrochemical sensing furazolidone, dopamine and uric acid
Authors: Xiong Jianhui , Yang Yuxi , Wang Linyu , Chen Shouhui , Du Yan , Song Yonghai 
Published: June 2022

Abstract
Covalent-organic frameworks (COFs) are a kind of porous crystalline materials that are boned together by covalent bonds. Abundant functional sites and adjustable pore structure make COFs become potential precursors to prepare metal nanoparticles (MNP)/heteroatoms-doped carbon nanosheets with well-ordered micropores (CN) nanozymes for electrochemical sensors. In this work, a new two-dimensional COFTD with double chelating sites were prepared by using 1,3,5-tris(4- aminophenyl)benzene and 2,6-dihydroxynaphthalene-1,5-diformaldehyde. The COFTD was used as a precursor to load Cu2+, Fe3+, Co2+ and Ni2+. By carbonizing, the COFTD was transformed into CN and metal ions were reduced into 5–10 nm MNP loaded on CN uniformly (CuNPs/CN, FeNPs/CN, NiNPs/CN and CoNPs/CN). These MNP/CN nanocomposite materials were used for electrochemical detection of both dopamine and uric acid at the same time. The electrochemical sensors based on MNPs/CN nanozymes have good detection performance. Finally, CuNPs/CN was also used to construct a furazolidone sensor. The furazolidone electrochemical sensor has excellent performance with a linear range of 61.5 nM-200 µΜ and a detection limit of 20.1 nM. At the same time, it also has good reproducibility and repeatability.
Differentially expression analyses of cultivated and wild species of grape and peach
Authors: Huang Weijian , Li Meng , Zhang Huangwei , Wu Juyou , Zhang Shaoling 
Published: June 2022

Abstract
Through agronomic traits and sequencing data, the cultivated and wild varieties of grapes and peaches were analyzed and compared in terms of fruit size, fruit flavor, fruit resistance, and fruit color. Cultivated grapes and peaches have advantages in fruit size, soluble sugar content, sugar and acid ratio, etc. Wild grapes and peaches have utility value in resistance. The results showed that there were 878 and 301 differentially expressed genes in cultivated and wild grapes and peaches in the three growth stages, respectively based on the next-generation sequencing study. Ten and twelve genes related to the differences between cultivated and wild grapes and peaches were found respectively. Among them, 3 genes exist in both cultivated and wild grapes and peaches, including: chalcone synthase (CHS), glutathione S-transferase (GST) and malate dehydrogenase (MDH1) genes.
Early Intelligent Fault Diagnosis of Rotating Machinery Based on IWOA-VMD and DMKELM
Authors: Jin Zhenzhen , He Deqiang , Lao Zhenpeng , Wei Zexian , Yin Xianhui , Yang Weifeng 
Published: June 2022

Abstract
The effect of early fault vibration signals from rotating machinery is weak and easily drowned out by intensive noise. Thus, it is still a great challenge to perform early fault diagnosis. An intelligent early fault diagnosis method for rotating machines is proposed based on Variational Mode Decomposition (VMD) parameter optimization and Deep Multi-Kernel Extreme Learning Machine (DMKELM). First, the iterative chaotic mapping, nonlinear convergence factor and inertia weight are introduced into the whale optimization algorithm (WOA). Then, an improved WOA (IWOA) is presented and utilized to optimize VMD parameters. The optimized VMD (OVMD) combined with the sampling entropy is used to denoise and reconstruct the signals. Finally, the mish function is served as the activation function. Meanwhile, the radial basis kernel function (RBF) and polynomial kernel (PK) are introduced to construct the mixed kernel function. The mixed kernel assignment is applied to replace the random assignment, and the DMKELM is presented to enhance the classification performance and generalization capability of the model, and DMKELM is used for early intelligent fault diagnosis. Two experiments on bearings and gears demonstrated that the fault diagnosis accuracy is 99% and 98.5%, respectively, and the fault diagnosis accuracy is high. It shows that this method has great superiority in early fault diagnosis of rotating machinery.
A Novel Approach on Cognitive Radio Sensor Networks for Efficient Data Transmission
Authors: M Sudha , Kandasamy Ravisankar , Kumar S.Satheesh 
Published: June 2022

Abstract
Data Transmission plays an important role in the digital world. This transfer occurs via point-to-point data streams or channels. These channels may previously have been in the form of copper wires but are now much more likely to be part of a wireless network. In here, We are using Cognitive Radio(CR) a concept on Wireless Sensor Networks(WSN) which is being used as an intelligent wireless Communication Technology having unique Capabilities of monitoring spectrum bands and detecting available channels to enable the usage of statically allocated spectrum. Furthermore, by dynamically adjusting its operating parameters, it can utilize available channels and to attack the upcoming spectrum crunch issue. Cognitive Radios can be used to find unused licensed spectrum and it can be utilized by secondary users without causing any interference to licensed users. Some of the existing techniques used in Cognitive Radio include spectrum sensing using energy detection, spectrum database, and pilot channel. In here we are using Momentum Search Algorithm technique is functioning on momentum conservation law and kinetic energy conservation law. The data to be transferred will be dynamically split and they will be scheduled for transferring. And the selection of channel will change accordingly for higher efficiency channel selection to transfer the data without loss and the transmission of data packets having higher size will have higher efficiency and the data packet consists of 8-bit for the address of data packets. It is used to Bring down the errors and damages in the data packets. Using Momentum Search Algorithm rule the user can utilize the same degree of interference as Primary users(PU) and to transfer Higher size of data packets on higher efficiency. This proposal shows the way out in achieving the first-rate performance of Data Transmission using Cognitive Radio Network based on Momentum Search Algorithm.
CSF GAP-43 as a biomarker of synaptic dysfunction is associated with tau pathology in Alzheimer’s disease
Authors: Qiang Qiang , Skudder-Hill Loren , Toyota Tomoko , Wei Wenshi , Adachi Hiroaki 
Published: June 2022

Abstract
Objective：To test whether cerebrospinal fluid (CSF) growth-associated protein 43 (GAP-43) concentration is elevated in Alzheimer’s Disease (AD) dementia and its associations with other hallmarks of AD.Methods: We examined the CSF GAP-43 measurements of 787 participants (245 cognitively normal (CN), 415 individuals with mild cognitive impairment (MCI) and 127 individuals with AD dementia from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) study. Associations were investigated between CSF GAP-43 and clinical diagnosis, Aβ/tau/neurodegeneration (AT(N)) status, CSF and blood biomarkers of AD, cognitive measurements and brain neuroimaging findings. Results: CSF GAP-43 levels were increased in patients with AD dementia (mean, 6331.05 pg/ml) compared with the CN (mean, 5001.05 pg/ml) and MCI (mean, 5118.8 pg/ml) (P < 0.001) groups. CSF GAP-43 correlated with CSF phosphorylated tau 181(p-tau) (r = 0.768, P < 0.001), and had high diagnostic accuracy in differentiating tau positive status vs. tau negative status (area under the receiver operating characteristic curve, 0.8606). CSF GAP-43 was particularly elevated among individuals with tau positive status. High CSF GAP-43 was associated with longitudinal deterioration of cognitive scores and brain neuroimaging findings. Conclusions: CSF GAP-43 was associated with a clinical diagnosis of AD dementia and with an individual’s tau status, cognitive measurements and findings from neuroimaging. This study implies that CSF GAP-43 as a biomarker of synaptic dysfunction could predict the disease progression of AD patients.
High-intensity interval training ameliorate diabetes-induced disturbances in Alzheimer's-related factors in the hippocampus through adiponectin signaling
Authors: khoramipour kayvan , Bejeshk Mohammad Abbas , Rajizadeh Mohammad Amin , Najafipour Hamid , Dehghan Padideh 
Published: June 2022

Abstract
Objectives: Alzheimer’s disease (AD) is closely related to type 2 diabetes (T2D). This study investigated the impact of High-intensity interval training (HIIT) on diabetes-induced disturbances in AD-related factors (including AMP-activated protein kinase (AMPK), Glycogen synthase kinase-3β (GSK3β), and Tau protein) in the hippocampus, with the main focus on adiponectin signaling. Methods: 40 male Wistar rats at the age of 8 weekd were randomly assigned to four groups: control (Con), type 2 diabetes (T2D), HIIT (Ex), and type 2 diabetes + HIIT (T2D+Ex). T2D was induced by high-fat diet plus a single dose of Streptozotocin (STZ). Rats in Ex and T2D+Ex groups performed eight weeks of HIIT (running at 80-95% of Vmax, 4-10 intervals). Insulin and adiponectin levels in serum and hippocampus were measured along with hippocampal expression of insulin and adiponectin receptors, AMPK, GSK3β, and Tau. Homeostasis model assessment for Insulin Resistance (HOMA-IR), Homeostasis model assessment for Insulin Resistance Beta (HOMA-β), and quantitative insulin sensitivity check index (QUICKI) were calculated to assess insulin resistance and sensitivity. Results: T2D decreased insulin and adiponectin levels in serum and hippocampus as well as the hippocampal levels of insulin and adiponectin receptors and AMKP but increased GSK3β and Tau in the hippocampus. HIIT reversed diabetes-induced impairments and consequently decreased Tau accumulation in the hippocampus of diabetic rats. HOMA-IR, HOMA-β, and QUICKI were improved in Ex and T2D+Ex groups. Conclusion: Overall, our results confirmed that T2D has undesirable effects on the levels of some Alzheimer's-related factors in the hippocampus and HIIT could ameliorate these impairments in the hippocampus.
Performance analysis of all optical based quantum internet circuits
Authors: Sharma Amit Kumar , Sharma Ritu , Sharma Shishir Kumar 
Published: June 2022

Abstract
A Quantum dot implanted within double-sided optical microcavity is explained and established as a critical component for all optical-based quantum internets. Due to the duality as the photonic quantum transistor and gate, the QD cavity system presents a sturdy base for the future photonic quantum network. With the help of the analytical investigation and review presented in this paper, a quantum dot cavity unit can be developed for implementing deterministic quantum gates and transistors. The maximum fidelity observed for quantum diode, router, and storage is 95.24%, 62.06%, and 90.42% without considering a noisy environment, respectively, and 62.12%, 60.36%, and 43.66% under a noisy environment, respectively. Fidelity is also calculated with varying coupling conditions (strong and weak coupling), and optimized cavity parameters are calculated. The paper also reports the work done by various researchers till date.
Systematic discovery of gene fusions in pediatric cancer by integrating RNA-seq and WGS
Authors: Belzen Ianthe A.E.M. van , Cai Casey , Tuil Marc van , Badloe Shashi , Strengman Eric , Janse Alex , Verwiel Eugène T. , Leest Douwe F.M. van der , Kester Lennart , Molenaar Jan J. , Meijerink Jules , Drost Jarno , Peng Weng Chuan , Kerstens Hinri H.D. , Tops Bastiaan B.J. , Holstege Frank C.P. , Kemmeren Patrick , Hehir-Kwa Jayne 
Published: June 2022

Abstract
BackgroundGene fusions are important cancer drivers in pediatric cancer and their accurate detection is essential for diagnosis and treatment. Clinical decision-making requires high confidence and precision of detection. Recent developments show RNA sequencing (RNA-seq) is promising for genome-wide detection of fusion products but hindered by many false positives that require extensive manual curation and impede discovery of pathogenic fusions. MethodsWe developed Fusion-sq to overcome existing disadvantages of detecting gene fusions. Fusion-sq integrates and “fuses” evidence from RNA-seq and whole genome sequencing (WGS) using intron-exon gene structure to identify tumor-specific protein coding gene fusions. Fusion-sq was then applied to the data generated from a pediatric pan-cancer cohort of 129 patients by WGS and RNA sequencing. ResultsIn a pediatric pan-cancer cohort of 129 patients, we identified 155 high confidence tumor-specific gene fusions and their underlying structural variants (SVs). This includes all clinically relevant fusions known to be present in this cohort (30 patients). Fusion-sq distinguishes healthy-occurring from tumor-specific fusions and resolves fusions in amplified regions and copy number unstable genomes. A high gene fusion burden is associated with copy number instability. We identified 27 potentially pathogenic fusions involving oncogenes or tumor-suppressor genes characterized by underlying SVs, in some cases leading to expression changes indicative of activating or disruptive effects. ConclusionsOur results indicate how clinically relevant and potentially pathogenic gene fusions can be identified and their functional effects investigated by combining WGS and RNA-seq. Integrating RNA fusion predictions with underlying SVs advances fusion detection beyond extensive manual filtering. Taken together, we developed a method for identifying candidate gene fusions that is suitable for precision oncology applications. Our method provides multi-omics evidence for assessing the pathogenicity of tumor-specific gene fusions for future clinical decision making.
Effect of silver variation on Ag-TiO2 nanocomposite synthesized by sol-gel
Authors: Mohammed Ban K. , zamel rafid s. , Khlaief Jabbar H. 
Published: June 2022

Abstract
The simple sol-gel technique was utilized to prepare pure nanocomposite TiO2 and Ag\TiO2. The structure, surface as well as optic features of the pure nanocomposite TiO2 and Ag\TiO2 were verified by adding different concentrations of Ag to TiO2 at (0, 2, 4, and 6 mol%), respectively and annealed at temperatures of 450oC for 2h. The XRD diffraction patterns show anatase stage within pure TiO2, while in state of Ag\TiO2 nanocomposite there is a stage for Ag cubic corresponding to high concentrations of Ag content. The optical properties reveal the absorption band induced by surface plasmon resonance (SPR) in the visible area, which is the hallmark of Ag Nanoparticles. The FTIR analysis confirms the formation functional groups due to the interaction of TiO2 with Ag species. The surface morphology of pure TiO2 and Ag\TiO2 nanocomposite powder was distinguished through FESEM (field emitting scan electron microscopy). In state of higher Ag content, the Ag\TiO2 nanocomposite is formed with less aggregation and smaller size compared with pure TiO2.
Household disinfection practices by women living in Egypt during the 2020 COVID-19 lockdown and the association of information sources and suspected bleach toxicity
Authors: Farid Maha , Talaat Rania , Pacino Valerie , Tak Hyo Jung , ElRayes Wael 
Published: June 2022

Abstract
The spread of contradictory health information was a hallmark of the early COVID-19 pandemic. Because of a limited understanding of the disease, its mode of transmission, and its pathogenicity, the public turned to easily accessible and familiar sources of information. Some of these sources included wrong or incomplete information that could increase health risks and incidents of toxicity due to improper information about the usage of disinfectants. In this study, 452 adult women living in Egypt were surveyed through a self-administered online questionnaire in Arabic. The questionnaire collected data about their household cleaning and disinfection practices to prevent the spread of the SARS-CoV-2 virus and protect their families during the lockdown that started in Egypt in March 2020. The study found that 88.1 percent of participants reported increased use of disinfectants during the lockdown. Women who chose social media as their primary source of information to learn about disinfection practices reported an increased frequency of respiratory symptoms associated with bleach toxicity, followed by women who depended on relatives and friends as the primary source of information. This study showed that social media is a powerful tool that can act as a primary source for individuals seeking medical information. Restrictions and regulations may help limit the harms caused by the misinformation and disinformation spread by these popular modes of communication, particularly in times of uncertainty and upheaval.
Shoot organogenesis and somatic embryogenesis from leaf and petiole explants of endangered Euryodendron excelsum
Authors: Xiong Yuping , Chen Shuangyan , Wu Teng , Wu Kunlin , Li Yuan , Zhang Xinhua , Silva Jaime A. Teixeira , Zeng Songjun , Ma Guohua 
Published: June 2022

Abstract
Euryodendron excelsum H.T. Chang is a first class of rare and endangered woody plant endemic to China. Leaves and petioles from the axillary shoots in vitro were used as explants to culture on the different PGR WPM medium and establish an efficient shoot proliferation and plant regeneration system. Callus and 3–6 adventitious shoots or somatic embryos were induced. WPM supplemented with 1.0 mg/L 2,4-D induced callus that then dedifferentiated into shoots and somatic embryos on different media, including PGR-free WPM. However, only adventitious shoots formed on WPM with 1.0 mg/L of cytokinins, 6-benzyladenine (BA), kinetin (KIN) or thidiazuron (TDZ). When another cytokinin, zeatin, was used, somatic embryos were induced directly from leaves and petioles. Adventitious roots could be induced from both explants on WPM with 1.0 mg/L α-naphthaleneacetic acid (NAA). Somatic embryos cultured in PGR-free WPM or WPM with 0.2 mg/L NAA developed roots. Plantlets derived from somatic embryos were transferred to a peat: sand (1:1, v/v) substrate, with 64.3% survival after 30 d, and 54.6% after 90 d. Callus clumps with adventitious shoot buds that were transferred to WPM with 1.0 mg/L BA and 0.2 mg/L NAA developed mean 3.3 multiple shoots. Callus-derived shoots regenerated and rooted successfully (100%) on agar-free vermiculite-based WPM with 0.5 µM NAA after 30 d. Plantlets transplanted to peat soil: vermiculite (1:1, v/v) displayed highest survival (96.7%) after three months. This protocol allows for the mass propagation of tissue-cultured plants and the conservation of this rare and endangered genetic resource.
Historical temperature variability in a representative high-latitude region in the monsoon-continental climate transition zone in China
Authors: Wei Yingnan , Ma Long , Sun Bolin , Zhang Jing , Jing Quanpu , Xing Jianjun 
Published: June 2022

Abstract
Global warming has exacerbated the instability of the climate and has led to the frequent occurrence of extreme cold and warm events. In this study, we constructed a standardized tree-ring width chronology of Korean spruce (Picea koraiensis Nakai) growing in a representative high-latitude region in the monsoon-continental climate transition zone in China from 1845 to 2016 and used it to analyse the response of the radial growth of Korean spruce to climatic factors such as temperature and precipitation. The results show that the annual mean temperature was the dominant climatic factor affecting the growth of Korean spruce. Hence, we reconstructed the annual mean temperature series of this region spanning the past 172 years. The analysis results show that the study area experienced five warm periods and five cold periods in the past 172 years. Cold years were dominant before 1960s, while temperature continuously rose and changed drastically in the early 21st century. The reconstructed annual mean temperature series has variability cycles of 3 a, 7 a, 10–12 a, 15–22 a, and 30–40 a. The results of this reconstruction enrich the tree-ring database in the representative regions of the monsoon-continental climate transition zone in China and provide a reference for systematically understanding the climate change patterns in the representative regions of the transition zone.
Immune cellular patterns of distribution affect outcomes of patients with non-small cell lung cancer
Authors: Parra Edwin Roger , Zhang Jiexin , Jiang Mei , Tamegnon Auriole , Pandurengan Renganayaki , Behrens Carmen , Heymach John , Moran Cesar , Lee J. Jack , Gibbons Don , Wistuba Ignacio 
Published: June 2022

Abstract
Background
Study of the geographic distribution of cellular populations and their interaction with malignant cells in non-small cell lung cancer (NSCLC) is essential to understand the roles of cellular populations and potentially design new therapeutic approaches.
Material and Methods
We studied 225 formalin-fixed, paraffin-embedded tumor tissue samples from patients with stage I-III NSCLC—142 adenocarcinomas and 83 squamous cell carcinomas—placed in tissue microarrays. Twenty-three markers were used, including T-cell, B-cell, immune checkpoint, and myeloid cell markers, placed in five multiplex immunofluorescence panels. We used dimensional data reduction and cellular spatial distribution to identify cell phenotypes and their cellular distribution across panels. In addition, we analyzed associations between cellular spatial distribution patterns and clinicopathologic variables, tumor mutational status, and outcomes.
Results
Overall, we observed two patterns of cellular distribution—unmixed and mixed—related to T-cells, B-cells, granulocytic cells, and macrophages, and we detected various cellular interactions between malignant and immunosuppressive cells and various associations between cell distribution and clinicopathologic characteristics. Cellular distribution patterns and the distance from various cell phenotypes to malignant cells were associated with recurrence-free survival and overall survival in univariate and multivariable analysis.
Conclusions
Diverse populations of tumor cells and tumor-associated immune cell phenotypes can be present in NSCLC samples. Spatial distribution is a new tool to better understand the tumor microenvironment and help select therapeutic interventions.
Preparation of angiotensin I- converting enzyme (ACE) inhibitory peptides from Tieguanyin tea residue protein using two-step enzymatic hydrolysis
Authors: Ye Shufang , Luo Jinyan , Lin Jiarong , Meng Chun , Hong Jing 
Published: June 2022

Abstract
Angiotensin I-converting enzyme inhibitory (ACEI) peptides, released from precursor proteins in vitro and in vivo, have been paid increased attention in the prevention of high blood pressure. In this study, we attempted to prepare novel ACEI peptides from Tieguanyin tea residue protein (TTRP). Different proteases were used to hydrolyze TTRP to prepare ACEI peptides, neutral protease and alkaline protease hydrolysates exhibited higher ACEI activity and was chosen in further hydrolysis treatment. Response surface methodology (RSM) was used to optimize the enzymatic condition, and the results indicated that the optimal conditions of enzymatic hydrolysis were: 4% (W/V) of TTRP in water was hydrolyzed with 3500 U/g neutral protease at 50 ℃ and pH 6.5 for 2.5 h in the first step and then with 5000 U/g alkaline protease at 50 ℃ and pH 10.0 for 3 h in the second step༎Under the optimum condition, the ACE inhibitory rate of the final products was 88.45%±0.45% at the concentration of 1.0 mg/mL. Moreover, ACEI peptides derived from TTRP showed good stability under different temperatures, pHs, metal ions and gastrointestinal digestion. These results indicated that the TTRP has potential to be used for preparing ACEI peptides, providing the basis for improving the utilization efficiency for blood pressure reduction and benefit in economic value.