Identification of robust RT-qPCR reference genes for studying changes in gene expression in response to hypoxia in breast cancer cell lines by Jodie R. Malcolm, Katherine S. Bridge, Andrew N. Holding, William J. Brackenbury

“…Here we present RPLP1 and RPL27 as optimal RGs for our panel of two Luminal A and two TNBC cell lines cultured in normoxia or hypoxia. …”
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A GA-Based BP Artificial Neural Network for Estimating Monthly Surface Air Temperature of the Antarctic during 1960–2019 by Miao Fang

“…This study proposed a backpropagation artificial neural network (BPANN) optimized by a genetic algorithm (GA) to estimate the monthly SAT fields of the Antarctic continent for the period 1960–2019. …”
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Synthesis, characterization, and application of novel reusable clay-based magnetic nanocomposite for the removal of organic dyes from water by Abdelfattah Amari, Norah Salem Alsaiari, Naim Ben Ali, Mohamed A Ismail, Mohamed A Tahoon

“…The MB adsorption system was optimized by varying several parameters, including pH, adsorbent dosage, contact time, starting concentration, ionic strength, and competing ions. …”
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Upaya Pengembangan Sektor Pariwisata Melalui Peran Kreativitas Pemuda by Arif Akbar, R. Hamdani Harahap, Rujiman Rujiman

“…First, youth creativity as a driving force, in which youth implementation forms the Muara Inspirasi Community as a forum for implementing creative activities that functions to optimize all existing youth resources. Second, youth creativity as a motivator where in practice the youth continue to encourage and hope that the people living in Muara Regency to build an independent economy by making local businesses such as making lodging, restaurants and making ulos. …”
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A Novel Multi-Fidelity Support Vector Classification Method for Boundary Prediction in Engineering Applications by Jinliang Luo, Lingzhi Liu, Youwei He, Kuan Tan

“…The key points of the proposed method include the design of a reasonable kernel function to effectively describe the relationship between the input and output of multiple fidelities, and the determination of the optimal hyperparameters. In addition, in practical engineering problems, real data often exhibit data imbalance, leading to poor performance of the trained models. …”
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Wafer Defect Classification Algorithm With Label Embedding Using Contrastive Learning by Jeongjoon Hwang, Somi Ha, Dohyun Kim

“…Classifying wafer defects in the wafer manufacturing process is increasingly critical for ensuring high-quality production, optimizing processes, and reducing costs. Most existing methods for wafer map defect classification primarily rely on images alone for model training and prediction. …”
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Examining Emphysematous Pyelonephritis: A Case Study on Diagnosis and Outcomes by Mahnoor Mahnoor, Syeda Aina Ali, Saira Nasir, Moiz Azmat, Hafiz Muhammad Umer Farooqi

“…<b>Conclusions</b>: CT scan seems to be the optimal diagnosis in patients with acute emphysematous pyelonephritis. …”
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Nanoparticles in gynecologic cancers: a bibliometric and visualization analysis by Yunzhe Zhou, Lizhang Chen, Tingting Wang

“…Future trends point toward optimizing synthesis techniques and advancing preclinical studies to clinical applications, particularly for silver and gold nanoparticles. …”
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<i>In situ</i> and <i>ex situ</i> variability of phenological and morphological features in <i>Caltha palustris</i> L. under the conditions of the West Siberian forest steppe by Т. I. Fomina

“…The introduced accessions were inferior to the native ones in shoot height, leaf size, and number of flowers due to non-optimal cultivation environments. Since C. palustris demonstrated high individual and interpopulation variability, it is promising to study this species in different natural populations and select the most ornamental and sustainable accessions.…”
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Removal of gentian violet in aqueous solution by activated carbon equilibrium, kinetics, and thermodynamic study by Moussa Abbas, Zahia Harrache, Mohamed Trari

“…The adsorption properties of both activated carbon with gentian violet were conducted at variable stirring speed 100–700 trs/min, adsorbent dose 1–8 g/l, solution pH 1–14, initial gentian violet concentration 5–15 mg/l, contact time 0–50 min, and temperature 299–323 K using batch mode operation to find the optimal conditions for a maximum adsorption. The adsorption mechanism of gentian violet was studied using the pseudo-first-order, pseudo-second-order, and Elovich kinetic models. …”
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Evaluation of coupled SWAT-MODFLOW-NWT model for conjunctive use of surface water and groundwater resources in the Mahabad plain of Iran by Omid Raja, Masoud Parsinejad, Massoud Tajrishy

“…The outcomes of this study can serve as a guiding principle for the optimal and sustainable allocation of surface and groundwater resources in highly competitive and fragile basins such as Lake Urmia.…”
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Mercury (II) adsorption process from an aqueous solution through activated carbon blended with fresh pistachio green shell powder by Reza Davarnejad, Saeedeh Afshar, Masoud Pirhadi, Matineh Mirhosseini

“…Central Composite Design under Response Surface Methodology was statistically used to consider the independent variables involving pH, contact time, fresh pistachio green shell powder dosage, initial concentration of mercury (II) and activated carbon dosage effects on the mercury (II) removal. pH of 6.13, initial mercury (II) concentration of 36.68 g/l, fresh pistachio shell powder dosage of 9.21 g/l, activated carbon dosage of 7.25 g/l as an optimal operating conditions for 99.25% of mercury (II) removal was experimentally found. …”
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Recent advances in electrochemical recovery of rare earth elements from NdFeB magnets by Fu L., Karimi-Maleh H.

“…To isolate highpurity REE oxides and metals, additional processing is required using techniques such as solvent extraction, selective precipitation, and electroseparation. Key factors for optimal electrochemical recycling are maximizing selectivity for REEs, minimizing energy consumption and waste generation, and simplifying integration. …”
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Ecofriendly colorimetric set-up coupled with mathematical filtration strategy for simultaneous determination of ipratropium and fenoterol in their novel anti-asthmatic metered dose... by Salma N. Ali, Hoda M. Marzouk, Ahmed S. Fayed, Samah S. Saad

“…The developed method is based on the properly optimized reaction of drugs under study with the charge transfer reagent 2,3-dichloro-5,6-dicyano-1,4-benzoquinone (DDQ), resulting in orange-colored complexes measured at 464.3 and 514.0 nm for IPR and FEN, respectively. …”
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How can graduate students’ research pressure be transformed into motivation and innovative behavior? The role of graduate students’ mentorship homegate (or team) support by Qiming Li, Xian Du, Hua Chen, Xianli Zhou

“…IntroductionThis study explores how graduate students’ mentorship homegate (or team) support (GSMTS) and challenging-hindering pressures impact their intrinsic motivation for research, identification with research roles, and innovative behaviors.MethodsData from 548 graduate students were collected using convenience sampling and analyzed using Amos and SPSS statistical software package via questionnaires distributed to universities in SiChuan province of China.ResultThe findings reveal that (1) research stress can not directly and positively predict innovative behaviors among graduate students, while intrinsic research motivation and research role identification mediate the relationship between research stress and graduate students’ innovative behavior; (2) hindering research pressure negatively impacts the intrinsic motivation for research, whereas challenging research pressure has a positive effect; (3) GSMTS directly fosters innovative behaviors among graduate students, with intrinsic motivation and roles’ identification for research as sequential mediators; and (4) GSMTS positively moderates the relationship between challenging research pressure and both the intrinsic motivation for research and role identity.DiscussionThis suggests that higher education institutions should cultivate an optimal research and innovation environment for graduate students by increasing challenging research pressure and reducing hindering pressure. …”
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Strategy of container migration and honeypot deployment based on signal game in cloud environment by Lingshu LI, Jiangxing WU, Wei ZENG, Wenyan LIU

“…Multi-tenant coexistence and resource sharing in the SaaS cloud pose serious security risks.On the one hand, soft isolation of logical namespaces is easy to be bypassed or broken.On the other hand, it is easy to be subjected to co-resident attacks due to sharing of the host operating system and underlying physical resources.Therefore it poses a serious threat to data availability, integrity and confidentiality in the container cloud.Given the problem that SaaS cloud services are vulnerable to container escape and side-channel equivalent resident attack, network deception technology increases the uncertainty of the cloud environment and reduces the effectiveness of attack by hiding the business function and characteristic attributes of the executor.Aiming at the security threat caused by the co-resident attack, combining dynamic migration and virtual honeypot security technology, the economical and reasonable network deception method was studied.Specifically, a container migration and honeypot deployment strategy based on the signal game was proposed.According to the security threat analysis, container migration and honeypot were used as defense methods.The former improved the undetectability of the system based on the idea of moving to target defense, while the latter confused attackers by placing decoy containers or providing false services.Furthermore, since network reconnaissance was the pre-step of the network attack chain, the attack and defense process was modeled as a two-person signal game with incomplete information.The sender chose to release a signal according to his type, and the receiver could only obtain the signal released by the sender but could not determine the type.Then, a game tree was constructed for the complete but imperfect information dynamic game, and the costs and benefits of different strategy combinations were set.The optimal deception strategy was determined by equilibrium analysis of attack-defense model.Experimental results show that the proposed strategy can effectively improve system security.Besides, it can also reduce container migration frequency and defense cost.…”
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A Tale of Two Transcriptions. Machine-Assisted Transcription of Historical Sources by Gunnar Thorvaldsen, Joana Maria Pujadas-Mora, Trygve Andersen, Line Eikvil, Josep Lladós, Alicia Fornés, Anna Cabré

“…Like what is being done in projects to digitize printed materials, the optimal solution is likely to be a combination of manual transcription and machine-assisted recognition also for hand-written sources.…”
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Synthesis of MgAl2O4: Sm3+ Nanophosphor and Its Photoluminescence, Electrochemical Sensing, and Photocatalytic Studies by S. N. Manjula, M. Chandrasekhar, M. R. Anil Kumar, Mir Waqas Alam, C. R. Ravikumar, H. C. Ananda Murthy, N. Basavaraju, H. Nagabhushana

“…Because of distinct f–f transitions from 4F7/2 ⟶ 6P3/2 of Sm3+ ions in the host stimulated at 406 nm, the PL characteristic emission peaks of Sm3+ ions were observed between 406 and 605 nm. The optimized MgAl2O4: Sm3+ phosphors exhibited 97% colour purity and lie in the orange red to yellow area of the CIE diagram. …”
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K-Means Cluster for Seismicity Partitioning and Geological Structure Interpretation, with Application to the Yongshaba Mine (China) by Xueyi Shang, Xibing Li, A. Morales-Esteban, Longjun Dong, Kang Peng

“…Results show that the K-Means cluster obtains the best cluster “quality” with higher S-KL indexes on the whole and meaningful clusters. Furthermore, the optimal number for detailed geological structure interpretation is confirmed as eleven clusters, and we found that two areas probably have faults or caves, and two faults may be falsely inferred by mine geologists. …”
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Synergistic effect of polymer and graphene oxide nanocomposite in heterogeneous layered porous media: a pore-scale EOR Study by M. Iravani, M. Simjoo, A. H. Molaei

“…Additionally, GOPN’s ability to alter wettability towards a more water-wet state contributed to improve oil detachment and more oil recovery, a critical factor in optimizing EOR techniques. These findings highlight the potential of GOPN as a promising EOR technique in stratified reservoirs. …”
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