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  1. 201
  2. 202

    Comparative Mitogenomic Analysis of Three <i>Chionea</i> Species (<i>Tipulomorpha</i>: <i>Limoniidae</i>): Insights into Phylogenetic Relationships and Selection Pressure by Yufeng Feng, Wei Cen, Kenneth B. Storey, Lingjuan Liu, Danna Yu, Jiayong Zhang

    Published 2025-07-01
    “…In the branch site model analysis, three positively selected sites were detected when <i>Chionea</i> was designated as the foreground branches: <i>COX3</i> (at position 242), <i>ND5</i> (at position 535), and <i>ND6</i> (at position 138).…”
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  3. 203

    The Identification and synthesis of metabolites of 4-(5-methyl-1,3,4-oxadiazole-2-yl)-benzenesulfonamide by Alexander L. Khokhlov, Ilya I. Yaichkov, Anton A. Shetnev, Valeria A. Panova, Julia A. Efimova, Sergey A. Ivanovskiy, Mikhail K. Korsakov, Nikita N. Volkhin, Sergey S. Petukhov

    Published 2024-11-01
    “…Introduction: 4-(5-methyl-1,3,4-oxadiazole-2-yl)-benzenesulfonamide is a new selective type II carbonic anhydrase inhibitor with local action through instillation into the eyes. …”
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  4. 204

    A Comprehensive Study of P-g-C<sub>3</sub>N<sub>4</sub>/MOF-199 Composite for Electrochemical Sensing of Metformin in Pharmaceutical Samples by Sara Dehdashtian, Shengnian Wang, Teresa A. Murray

    Published 2025-03-01
    “…A novel electrochemical sensor (P-g-C<sub>3</sub>N<sub>4</sub>/MOF-199/CPE) was developed to determine the metformin concentration in pharmaceutical samples. …”
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  5. 205

    Numerical Simulation of Thermal Fields and Microstructure Evolution in SLM of Fe<sub>32</sub>Cr<sub>33</sub>Ni<sub>29</sub>Al<sub>3</sub>Ti<sub>3</sub> Alloy by Xuyun Peng, Xiaojun Tan, Haibing Xiao, Wei Zhang, Liang Guo, Wei Tan, Jian Huang, Chaojun Ding, Yushan Yang, Jieshun Yang, Haitao Chen, Qingmao Zhang

    Published 2025-06-01
    “…This study explores the microstructural evolution of Fe<sub>32</sub>Cr<sub>33</sub>Ni<sub>29</sub>Al<sub>3</sub>Ti<sub>3</sub> EHEAs fabricated by SLM under varying laser powers. …”
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  6. 206

    Selective blockade of acid-sensing ion channel 1a can provide substantial hippocampal neuroprotection by Jiaai Li, Yu Cheng, Yu Cheng, Di Ma, Guangjian Li, Weixuan Zhao, Ting Jiang, Hongmei Meng

    Published 2025-07-01
    “…Second, the high expression of ASIC1 in epilepsy patients was verified in all three sample types, and the phenomenon of its transport from the cytoplasm to the cell membrane/mitochondria was confirmed. …”
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  7. 207

    Quercetin Reduced and Stabilized Gold Nanoparticle/Al<sup>3+</sup>: A Rapid, Sensitive Optical Detection Nanoplatform for Fluoride Ion by Titilope John Jayeoye, Roselina Panghiyangani, Sudarshan Singh, Nongnuj Muangsin

    Published 2024-12-01
    “…The developed QT-AuNPs/Al<sup>3+</sup> detection probe was selective to only F<sup>−</sup> charging, in comparison with other possible interfering anions. …”
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  8. 208

    Optimisation of variance component estimation and genomic prediction in a commercial crossbred population of Duroc x (Landrace x Yorkshire) three-way pigs by S. Liu, Z. Zhang

    Published 2025-05-01
    “…We first compared the performance of completely extreme sampling, completely random sampling, and four mixed sampling schemes combining extreme and random sampling for VC estimation and genomic prediction for traits with high, medium, and low heritability (h2 = 0.5, 0.3, and 0.1) at different sample sizes (500–6 500). …”
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  9. 209
  10. 210

    Ultrasonic Assisted Synthesis and Characterization of xCuO/CeO2–γAl2O3 Nanoatalysts by Esmaeil Fatehifar, Asadollah Karimi, Reza Alizadeh, abbas jafarizad, mahmood jamili

    Published 2016-07-01
    “…For characterization of xCuO/CeO2–γAl2O3 samples N2 adsorption results showed that the BET surface area of the CuO/CeO2–γAl2O3, X-ray diffraction (XRD), scanning electron microscope (SEM) and energy dispersive X-rays (EDX dot-mapping) were used. …”
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  11. 211

    Simultaneous determination of nineteen azo dyes in water samples by gas chromatography-mass spectrometry after Fe3O4@COF based dispersive solid phase extraction by Nazime Ebrar Karlıdağ, Sezin Erarpat Bodur, Ömer Tahir Günkara, Sezgin Bakırdere

    Published 2024-11-01
    “…The high percent recoveries confirmed the accuracy and applicability of the developed Fe3O4@COF-DSPE-GC-MS method for stream water samples.…”
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  12. 212

    IoT intrusion detection method for unbalanced samples by ANTONG P, Wen CHEN, Lifa WU

    Published 2023-02-01
    “…In recent years, network traffic increases exponentially with the iteration of devices, while more and more attacks are launched against various applications.It is significant to identify and classify attacks at the traffic level.At the same time, with the explosion of Internet of Things (IoT) devices in recent years, attacks on IoT devices are also increasing, causing more and more damages.IoT intrusion detection is able to distinguish attack traffic from such a large volume of traffic, secure IoT devices at the traffic level, and stop the attack activity.In view of low detection accuracy of various attacks and sample imbalance at present, a random forest based intrusion detection method (Resample-RF) was proposed, which consisted of three specific methods: optimal sample selection algorithm, feature merging algorithm based on information entropy, and multi-classification greedy transformation algorithm.Aiming at the problem of unbalanced samples in the IoT environment, an optimal sample selection algorithm was proposed to increase the weight of small samples.Aiming at the low efficiency problem of random forest feature splitting, a feature merging method based on information entropy was proposed to improve the running efficiency.Aiming at the low accuracy problem of random forest multi-classification, a multi-classification greedy transformation method was proposed to further improve the accuracy.The method was evaluated on two public datasets.F1 reaches 0.99 on IoT-23 dataset and 1.0 on Kaggle dataset, both of which have good performance.The experimental results show that the proposed model can effectively identify the attack traffic from the massive traffic, better prevent the attack of hackers on the application, protect the IoT devices, and thus protect the related users.…”
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  13. 213
  14. 214

    CATION SELECTIVITY OF VERTISOLS by Amer Abdul-Kareem

    Published 2019-10-01
    “…The effect of salinity and SAR on Gapon selectivity coefficient  of two Vertisols , collected from Duhok Governorate in northern Iraq(Summel and Zakho) classified taxonomically as (fine clay-smectitic-calcareous-cracked soils), were studied in a laboratory experiment. …”
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  15. 215

    Approach-Induced Biases in Human Information Sampling. by Laurence T Hunt, Robb B Rutledge, W M Nishantha Malalasekera, Steven W Kennerley, Raymond J Dolan

    Published 2016-11-01
    “…These biases reflected the amount of information sampled ("positive evidence approach"), the selection of which information to sample ("sampling the favorite"), and the interaction between information sampling and subsequent choices ("rejecting unsampled options"). …”
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  16. 216
  17. 217

    Evaluation of raspberry cultivar samples by productivity components by M. A. Podgaetsky, S. N. Evdokimenko

    Published 2025-04-01
    “…The highest number of fruit-bearing stems per bush (5.6 pieces) was formed by selected form No. 8-6-3 (Russia) with genotypic control of the index (70.0 %). …”
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  18. 218

    Feasibility assessment on the independent selection of dialysis methods in ESRD patient after 3-month blood purification:A blood purification center observation study in the Xinjia... by ZHUANG Jing, Reziwanguli Abudula, JIANG-Hong

    Published 2020-01-01
    “…Objective To investigate mastering of the patients with SRD(ESRD)with dialysis treatment of over 3 months about knowledge and advantages or shortcomings of the two dialysis therapies in our dialysis center, and evaluate the intention and feasibility of their independent selection of dialysis methods.Methods With convenient sampling,146 patients with ESRD,who started to conduct regular peritoneal dialysis in People’s Hospital of Xinjiang Uyghur Autonomous Region between January 2016 to December 2017,were selected and divided into the hemodialysis group(HD group,85 patients)and the peritoneal dialysis group(PD group,61 patients)according to their dialysis methods.A retrospect survey questionnaire was made to learn about demographic data,influencing factors of selection of the two dialysis modes and urine decrease during dialysis,and to analyze the intention and feasibility of the patients’ new selection of long-term dialysis.Results The HD patients most selected this dialysis mode(92.94%)mainly according to their physician’s introduction before dialysis,while the PD patients who independently selected PD had a big proportion(55.74%).There was statistically significant difference between the two groups(P<0.05).After three months of dialysis,over 70% of the patients learned about the knowledge and features of the two dialysis modes,but 90.59% patients in the HD group did not yet master the PD knowledge,with statistically significant difference between the two groups(P<0.05).The emergent dialysis records in the HD group were more than those in the PD group(P<0.05).24-hour urine volume before dialysis had no difference between the two groups,after 3 months of treatment the proportion of patients with decrease urine volume in the HD group was higher than that in the PD group(P<0.05).With 3 months of treatment and education,there were 41.18 and 19.67% patients in the HD and PD groups,respectively,who were willing to adjust their dialysis method.Conclusions Lack of sufficient knowledge about dialysis is the main factor affecting ESRD patient`s independent selection of dialysis methods.besides that,more experience of emergent dialysis also plays a vital role in their selection.Both 3-month experience of dialysis and the changes of urine volume in the course of different dialysis therapies contribute to accumulation of the knowledge and the practice of two dialysis methods.This makes it possible for ESRD patients to have the ability to select dialysis mode independently,and make them select suitable dialysis method based on their own specific conditions.…”
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  19. 219

    Identification of Saltol QTL in the breeding rice samples by О. S. Zhogaleva, N. N. Vozhzhova, А. Yu. Dubina, N. T. Kupreyshvili, P. I. Kostylev

    Published 2021-12-01
    “…As a result of the study of 398 breeding rice samples, there have been identified 67 samples with the functional allele of Saltol QTL (6865/3, 6874/2, Don 7343/4, Don 7343/5, Don 7343/6, Don 7343/7, Don 7343/8, Don 7343/9, Don 7343/10, Don 7337/1, Don 7337/3, Don 7337/4, Don 7337/5, Don 7337/6, Don 7337/7, Don 7337/8, etc.). …”
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