The Role of Bioenergy in Transition to a Sustainable Bioeconomy – Study on EU Countries by Ştefan Dragoş Cîrstea, Andreea Cîrstea, Irimie Emil Popa, Gabriel Radu

“…At the same time, bioenergy positively correlates with the degree of innovation in the field or with the energy from natural gas and negatively with the economic efficiency of a state. …”
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Testing the limits of short-reads metagenomic classifications programs in wastewater treating microbial communities by Leandro Di Gloria, Lorenzo Casbarra, Tommaso Lotti, Matteo Ramazzotti

“…Gaining a deeper understanding of the microbial communities underpinning these technologies would enable their optimization, ultimately reducing costs and increasing efficiency. To support this research, we quantitatively compared classification methods differing in read length (raw reads, contigs and MAGs), overall search approach (Kaiju, Kraken2, RiboFrame and kMetaShot), as well as source databases to assess the classification performances at both the genus and species levels using an in silico-generated mock community designed to provide a simplified yet comprehensive representation of the complex microbial ecosystems found in AS and AGS. …”
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Tradeoffs and synergies between social equity and environmental benefits in conservation by Thomas M. Neeson, Sean C. Emmons, Lauren E. Mullenbach

“…We used empirical patterns in the commonness and rarity of species to generate simulated landscapes with pre-defined correlations between biological diversity and human social diversity. …”
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Carcinogenic health risks and water quality assessment of groundwater around lead–zinc mining areas of Ebonyi state Nigeria: a data-driven machine learning approach by Obinna Chigoziem Akakuru, Moses Oghenenyoreme Eyankware, Godwin O. Aigbadon, Ayatu Ojonugwa Usman, Alexander Iheanyi Opara, Kizito Ojochenemi Musa, Micheal Akaninyene Okon, Okechukwu Pius Aghamelu, Gabriel Ehriga Odesa, Ifeyinwa Juliana Ofoh, Annabel U. Obinna-Akakuru

“…The correlation analysis of heavy metals identified a statistically significant negative relationship between Cadmium (Cd) and Chromium (Cr) (r = − 0.317, p = 0.041), and a marginally significant negative correlation between Mercury (Hg) and Selenium (Se) (r = − 0.273, p = 0.08). …”
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Direct Collapse Accretion Disks within Dark Matter Halos: Saturation of the Magnetorotational Instability and the Field Expulsion by Yang Luo, Isaac Shlosman

“…We have used high-resolution zoom-in simulations of direct collapse to supermassive black hole (SMBH) seeds within dark mater halos in the presence of magnetic fields generated during the collapse, down to 10 ^−5 pc or 2 au. …”
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Reversal of Spin‐Torque Polarity with Inverting Current Vorticity in Composition‐Graded Layer at the Ti/W Interface by Hayato Nakayama, Taisuke Horaguchi, Jun Uzuhashi, Cong He, Hiroaki Sukegawa, Tadakatsu Ohkubo, Seiji Mitani, Kazuto Yamanoi, Yukio Nozaki

“…These findings suggest that the sign of spin torque is governed by the polarity of compositional gradient, providing a novel strategy for efficient spin‐torque generation without relying on materials with strong spin or orbital Hall effect.…”
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Simultaneous Determination of α,β-Unsaturated Aldehydes in Emulsion Using Supercritical Fluid Chromatography-Tandem Mass Spectrometry by WANG shu, WEI Shixiao, ZHANG hao, SUN Shangde, BI Yanlan

“…This method is a simple, efficient, environment-friendly, sensitive, and accurate one for the detection of α,β-unsaturated aldehydes generated during the processing, storage, and use of emulsion-based foods.…”
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FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design by Hooman Danesh, Daniele Di Lorenzo, Francisco Chinesta, Stefanie Reese, Tim Brepols

“…In this paper, the fast Fourier transform (FFT)-based homogenization approach is adopted to efficiently generate data for developing surrogate models, bypassing concerns about periodic mesh generation and boundary conditions typically associated with the finite element method (FEM). …”
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Green hotel development: Towards the building of resilient cities in Ghana by Ama Kissiwah BOATENG

“… In recent times, there have been concerns about how hotels are negatively impacting on the environment both globally and locally. …”
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Eco-friendly superabsorbent polymer synthesis using diatomaceous earth: development, characterization and its application by Anju Sharma, Arpit Sand

“…So in this research we have generated a modified superabsorbent polymer named (AD-SAP). …”
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Effects of polytetrafluoroethylene particle reinforcement and seawater aging on solid particle erosion behavior of epoxy composites by Orkan Baran Korkusuz, Ömer Faruk Gökçe, Baha Erkam Tabak, Beyza Nur Atasoy, Tamer Sınmazçelik

“…Surface topographies were generated using profilometer, and the surface parameters were correlated with erosion rates. …”
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Single‐Cell Metabolic Labeling Probe for Diagnosing Tuberculous Meningitis: A Case Report by Jiahao Wang, Guiqin Dai, Pengfei Zhao, Mingbin Zheng, Li Wei, Hongzhou Lu

“…Metagenomic next‐generation sequencing later confirmed this finding. …”
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Tumor-specific AAV delivery of interleukin-12 enhances antitumor immunity and safety in ovarian cancer xenograft mouse model by Chuyuan Chen, Yongji Jiang, Chuan Feng, Qingyun Zhou, Xingrong Luo, Lili Cai, Lei Zhao

“…Moreover, the IL-12 level in the serum was decreased significantly with the suppression of tAAV9-IL-12-infected tumor cell, so that generates promising negative feedback to ensure the safety profile.…”
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Effect of parent concrete strength on recycled concrete performance by Bachir Kebaili, Mohammed Benzerara, Souad Menadi, Nadia Kouider, Redjem Belouettar

“… The reuse of concrete waste as a secondary aggregate could be an efficient solution for sustainable development and long-term environmental protection. …”
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ML Based Social Media Data Emotion Analyzer and Sentiment Classifier with Enriched Preprocessor by Jayamalini Kothandan, Ponnavaikko Murugesan

“…Mainly it is used to determine the user's opinions, emotions, appraisals, or judgments towards a specific event, topic, product, etc. is positive, negative, or neutral. In this approach, a huge amount of digital data generated online from blogs and social media websites is gathered and analyzed to discover the insights and help make business decisions. …”
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Assessment of women involvement in locust beans processing in Ejigbo Local Government Area by Oluwagbenga Titus Alao, Tobi Esnade Amossou, Gabriel Ifeoluwa Abioye

“…The profitability analysis revealed that each N1 invested in the enterprise generated a profit of N0.35, indicating the profitability of the firm as an alternative for additional income. …”
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Enhancing Classroom Lighting Quality in Tehran Through the Integration of a Dynamic Light Shelf and Solar Panels by Shadan Masoud, Zahra Zamani, Seyed Morteza Hosseini, Mohammadjavad Mahdavinejad, Julian Wang

“…These findings highlight the potential of the proposed system as a practical and energy-efficient daylighting strategy for educational buildings in sunny regions such as Tehran.…”
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From Battlefield to Building Site: Probabilistic Analysis of UXO Penetration Depth for Infrastructure Resilience by Boules N. Morkos, Magued Iskander, Mehdi Omidvar, Stephan Bless

“…However, a lognormal distribution was preferred, to avoid negative value sampling, since COVs of the studied parameters can easily exceed this threshold. …”
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CooccurrenceAffinity: An R package for computing a novel metric of affinity in co-occurrence data that corrects for pervasive errors in traditional indices. by Kumar P Mainali, Eric Slud

“…We further develop functions (a) to compute those intervals, (b) to evaluate their true coverage probability of enclosing the population parameter, and (c) to generate figures. 4. CooccurrenceAffinity is a practical and efficient R package with user-friendly functions for end-to-end analysis and plotting of co-occurrence data in various formats, making it possible to compute the recently developed metric of alpha MLE as well as its median and confidence intervals introduced in this paper. …”
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Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks by Enock Adjei Agyekum, Yu-guo Wang, Eliasu Issaka, Yong-zhen Ren, Gongxun Tan, Xiangjun Shen, Xiao-qin Qian

“…Methods Five convolutional neural network models including VGG19, Resnet 50, EfficientNetB1, EfficientNetB0, and InceptionV3, pre-trained with ImageNet, were compared for predicting the efficacy of ultrasound-guided microwave ablation (MWA) for benign thyroid nodules using ultrasound data. …”
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