Injection well site optimization of carbon geological sequestration based on dynamic programming by Bin LIU, Chunsheng SHI

“…The methodology offers a systematic approach for selecting injection well locations and serves as a valuable tool for developing efficient, secure CO2 storage systems worldwide. …”
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Application of Transfer Entropy Measure to Characterize Environmental Sounds in Urban and Wild Parks by Roberto Benocci, Giorgia Guagliumi, Andrea Potenza, Valentina Zaffaroni-Caorsi, H. Eduardo Roman, Giovanni Zambon

“…Anthropized green zones in urban areas and their surroundings develop complex soundscapes, characterized by the presence of multiple sound sources. …”
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Evaluation of Coalbed Methane Content by Using Kernel Extreme Learning Machine and Geophysical Logging Data by Jianhong Guo, Zhansong Zhang, Guangshan Guo, Hang Xiao, Linqi Zhu, Chaomo Zhang, Xiao Tang, Xueqing Zhou, Yanan Zhang, Can Wang

“…Accurate evaluation of coalbed methane (CBM) content plays a momentous role in the identification and efficient development of favorable exploitation blocks of CBM resources, but there are still many technical challenges in the exploration and development of onshore CBM fields. …”
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Avaliação dos resultados tardios de mamoplastia redutora pela técnica periareolar Late results after mammaplasty by the periareolar approach by José Horácio Aboudib, Ana Claudia Weck Roxo

“…CONCLUSION: The final analysis proved that the periareolar approach is a very efficient procedure in selected group of patient with small to mild breast volume, with small to moderate ptosis and with moderate to good skin turgor. …”
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Immunoinformatic development of a multiepitope messenger RNA vaccine targeting lipoate protein ligase and dihydrolipoamide dehydrogenase proteins of Mycoplasma bovis in cattle by Dhafer Rasheed Al-Fetly, Dhama Alsallami, Amjed Alsultan

“…Molecular dynamics simulations were conducted to assess the stability of the vaccine-receptor complex. Results: The modeled vaccine construct contained five cytotoxic T lymphocyte, six helper T lymphocyte, and five B-cell epitopes. …”
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Evaluation of various varieties of peas as raw material for deep processing by V. G. Goldstein, L. P. Nosovskaya, L. V. Adikaeva, V. A. Kovalenok

“…When selecting a variety of peas, it is also necessary to consider the physicochemical properties of starch, which depend on the mass fraction of amylose. …”
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Investigation of Opto‐magnetic Memory Effects in Antiferromagnetic CuMnAs Using Ultrafast Heat Dynamics and Quench Switching by Jan Zubáč, Miloslav Surýnek, Kamil Olejník, Andrej Farkaš, Filip Krizek, Lukáš Nádvorník, Peter Kubaščík, Zdeněk Kašpar, František Trojánek, Richard P. Campion, Vít Novák, Petr Němec, Tomáš Jungwirth

“…Abstract Solving complex tasks in a modern information‐driven society requires novel materials and concepts for energy‐efficient hardware. …”
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Genomic and Functional Analysis of a Novel Yeast <i>Cyberlindnera fabianii</i> TBRC 4498 for High-Yield Xylitol Production by Pawarin Bonthong, Benjarat Bunterngsook, Wuttichai Mhuantong, Katesuda Aiewviriyasakul, Wipawee Sritusnee, Verawat Champreda, Hataikarn Lekakarn

“…The development of yeast cell factories for efficient xylose utilization and xylitol production is crucial for advancing sustainable biotechnological processes. …”
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Jet Interaction with Galaxy Cluster Mergers by P. Domínguez-Fernández, J. ZuHone, R. Weinberger, E. Bellomi, L. Hernquist, P. Nulsen, G. Brunetti

“…Recent radio observations reveal the complex morphologies of cluster diffuse emission, potentially linked to interactions between AGN bursts and the cluster environment. …”
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Evaluating Bioassays for the Determination of Simvastatin’s Osteogenic Activity: A Systematic Review by Lara Steiner Back, Isabella Schönhofen Manso, Mariane Beatriz Sordi, Gabriel Leonardo Magrin, Águedo Aragonês, Ricardo de Souza Magini, Reinhard Gruber, Ariadne Cristiane Cabral Cruz

“…Objective: Osteogenic differentiation is a complex process, and its analysis requires several biomarkers. …”
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Treatment Trade‐Offs and Choices for Femoral Fractures: A Systematic Review and Meta‐Analysis by Jiarui Li, Zhu Guo, Tianrui Wang, Kunyue Xing, Wenzhuo Wang, Yaowei Liu, Jiyao Xing, Hongfei Xiang, Jingdong Wang, Bohua Chen, Dongming Xing, Xiaolin Wu

“…ABSTRACT In resource‐limited settings, selecting the appropriate treatment for femoral fractures is crucial as it affects both patient recovery and the efficient use of medical resources. …”
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Determination of Trace Rare Earth Elements in Tungsten-Molybdenum Ore by Inductively Coupled Plasma-Mass Spectrometry with Microwave Digestion System by Junfei CAO, Ting WANG, Jian LI, Ying LI

“…Relative standard deviation (RSD) of method precision was lower than 2.0%, the method detection limit was 0.0002-0.0087µg/g, and the spiked recovery of real samples was between 80.0% and 114.0%. …”
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EA-CNN: Enhanced attention-CNN with explainable AI for fruit and vegetable classification by Zeshan Aslam Khan, Muhammad Waqar, Khalid Mehmood Cheema, Ali Abu Bakar Mahmood, Quratul Ain, Naveed Ishtiaq Chaudhary, Abdullah Alshehri, Sultan S. Alshamrani, Muhammad Asif Zahoor Raja

“…In this study, an explainable artificial intelligence (XAI) driven enhanced attention-CNN (EA-CNN) is proposed for accomplishing the fruit and vegetable classification task accurately and efficiently. The proposed EA-CNN model (a) detects the class of fruits and vegetable accurately through visual features by manipulating undiscover customized pooling technique and enhanced attention feature extraction mechanism, (b) classifies the fruits and vegetables efficiently through a simplified architecture, (c) provides interpretable predictions through XAI approach. …”
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Infusing Harvest Plus lines into commercial cultivars: Impact on grain yield and micronutrient content in wheat (Triticum aestivum L.) by Ashish Sheera, Tuhina Dey, Nashra Aftab, Jogendra Singh, Vijayata Singh, Rebekah Nisha, Bikram Singh

“…The findings highlight the complexity of genetic interactions and emphasize the need for advanced breeding strategies to develop wheat varieties that improve yield and micronutrient efficiency, addressing global nutritional challenges.…”
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Developing an effective teaching model in order to improve the educational level of schools by Mehdi Mohammadi, fardin Abdollahy, Rafigh Hasani

“…Teaching is a comprehensive, multiple, complex phenomenon in which the role of the teacher and learners has changed (Mahdian & Amini, 2018). …”
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Smart Learning Ecosystems beyond 2030 by Gabriella Dodero, Carlo Giovannella, Francesca Pozzi

“…Examples of possible developments and of the work already underway can be found both in the stimulated contributions and in the articles selected as a result of the review process. The paper “Grand Challenges in AI and Education Beyond 2030” [8] by Beverly Woolf, Danielle Allessio, Sai Gattupalli, Injila Rasul, William Lee, Ivon Arroyo, points out how the usage of AI requires new skills to be developed by learners, so to be able to augment their capabilities and perform jobs with more efficiency and effectiveness. …”
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Flunarizine as a potential repurposed drug for the serotonin transporter inhibition: an integrated approach for therapeutic development against major depressive disorder by Abdelbaset Mohamed Elasbali, Abdelbaset Mohamed Elasbali, Ahmed S. Ali, Ahmed S. Ali, Taj Mohammad, Mohd Adnan, Mohd Adnan, Anas Shamsi, Md. Imtaiyaz Hassan

“…Drug repurposing provides an efficient solution to speed up antidepressant research because it identifies existing FDA-approved medications that might inhibit the serotonin transporter. …”
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Designing a Digital Branding Pattern in Healthy Agricultural Products by Abolghasem Mohammadnezhad Ali Zamini, Arezo Ahmadi danyali, Mahmoud Ahmadi Sharif

“…Also, with 82 open coding, 22 central and selective categories, the model of digital branding of healthy agricultural products in Iran was designed. …”
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Accelerated design of eutectic high-entropy alloys using high-throughput phase diagram calculations and machine learning by Mingxu Wu, Bang Guan, Junfeng Wang, Shubin Wang, Chao Yang, Chuan Zhang, Da Shu, Chengbo Xiao, Baode Sun

“…Designing eutectic high-entropy alloys (HEAs) with a stable dual-phase structure is prospective for high-temperature structural materials, but remains a challenge due to the complexity of multicomponent compositional space. This study introduces a machine learning (ML) based classification model to assist the high-throughput thermodynamic calculations (HTCs), improving the efficiency by identifying eutectic, near-eutectic and non-eutectic compositions in the VNbTiTaSi system using the parameters that determine the eutectic forming ability. …”
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GNNs and ensemble models enhance the prediction of new sRNA-mRNA interactions in unseen conditions by Shani Cohen, Lior Rokach, Isana Veksler-Lublinsky

“…Despite advancements in high-throughput (HT) experimental methods, they remain technically challenging and are limited to detecting sRNA-target interactions under specific environmental conditions. …”
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