Determination of Tungsten, Molybdenum and 5 Associated Elements in Tungsten-Molybdenum Ore by Inductively Coupled Plasma-Optical Emission Spectrometry with Direct Sintering by Zhou SONG, Yiping JI, Weihua WANG, Shaomin FANG, Jie YANG, Huoyan LUO, Yuqi ZHOU

“…However, the matrix effect cause by the alkali melting method seriously affects the accuracy and detection limit of instrument testing; the acid dissolution method has low dissolution efficiency for tungsten, molybdenum and other insoluble elements, and requires a long time and a complex pretreatment process by using a variety of inorganic strong acids such as hydrofluoric acid and aqua regia, which can also cause damage to the analytical and testing instruments.OBJECTIVESTo develop a simple and efficient method for quantitative analysis of tungsten and molybdenum and its associated elements in tungsten-molybdenum ore.METHODSBased on alkaline melting and acid dissolution, a method was established by inductively coupled plasma-optical emission spectrometry (ICP-OES) with direct sintering and complex extraction of hydrochloric acid-phosphoric acid-citric acid. …”
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Steric and energetic studies on adsorption of toxic arsenic ions by hematite nano-rods from laterite highlighting the impact of modification periods by Dina Mostafa, Nabila Shehata, Mashael D. Alqahtani, May N. Bin Jumah, Nahaa M. Alotaibi, Noof A. Alenazi, Hassan A. Rudayni, Ahmed A. Allam, Wail Al Zoubi, Mostafa R. Abukhadra

“…The findings suggest that HM36 is a highly efficient and scalable adsorbent for arsenic removal, offering sustainable solutions for industrial and agricultural wastewater treatment.…”
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Higher performance enhancement of direct torque control by using Space Vector Modulation for doubly fed induction machine by Gouaamar Radouan, El Fadl Adiba, Bri Seddik, Mekrini Zineb

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Harnessing quantum power: Revolutionizing materials design through advanced quantum computation by Zikang Guo, Rui Li, Xianfeng He, Jiang Guo, Shenghong Ju

“…Abstract The design of advanced materials for applications in areas of photovoltaics, energy storage, and structural engineering has made significant strides. …”
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3D Heterogeneous Geological Model of Natural Gas Hydrates in Shenhu Area, South China Sea by Langfeng Mu, Dawang Liu, Yi Zhang, Hailong Lu, Shipeng Wei

“…Natural gas hydrates, as a novel clean energy resource, have attracted widespread attention because of their highly complex reservoir properties, fluid distribution, and phase transitions. …”
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Study on flow characteristics of pneumatic conveying of stiff shotcrete materials by CFD-DEM by Hui Ma, Guanguo Ma, Zhenjiao Sun, Kang Gao, Lianjun Chen

“…These findings provide the first comprehensive framework for designing energy-efficient long-distance SSM systems, directly addressing industrial challenges in reducing blockages and wear. …”
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Understanding Sofia’s travel dynamics: Study of private traffic patterns and urban mobility by Lidia Lazarova Vitanova, Evgeny Shirinyan, Tereza Trendafilova, Dessislava Petrova-Antonova

“…Transportation and mobility provide a foundation for sustainable society, facilitating the efficient movement of people, goods, and services across diverse spatial and temporal scales. …”
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Progress on desalination technology of high salinity mine water by YANG Chenyi, ZHOU Xikun, LUO Haopeng, JIANG Fang, CHEN Huan

“…The problems associated with the extended process flow, significant energy consumption, and elevated costs of the treatment system were outlined. …”
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Propagation of whistler mode waves in Earth’s inner magnetosphere in the presence of field aligned irregularities and geomagnetic curvature by Raahima Khatun-E-Zannat, Vijay Harid, Mark Golkowski, Oleksiy Agapitov, Poorya Hosseini

“…The presence of magnetospheric ducts produces a more complex wave behavior in the full wave model, leading to a strong spatial modulation, efficient confinement and the formation of shadow region as a result of geomagnetic curvature. …”
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Recent Advances in Antibody Discovery Using Ultrahigh-Throughput Droplet Microfluidics: Challenges and Future Perspectives by Dhiman Das, John Scott McGrath, John Hudson Moore, Jason Gardner, Daniël Blom

“…This review paper aims to catalyze further research and innovation, ultimately advancing the field towards more efficient and robust solutions for antibody identification and development.…”
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A Deep Reinforcement Learning Framework for Adaptive Resiliency Enhancement in Smart Power Grids by Boyu Wang, Aliasghar Baziar, Mohammad Reza Askari

“…To overcome these limitations, we propose a deep reinforcement learning framework based on the Deep Deterministic Policy Gradient (DDPG) algorithm, optimized using the Root Mean Square Propagation (RMSprop) method for stable and efficient training. The proposed framework features a two-layered control architecture that models grid states, actions, and rewards to enable continuous, real-time adaptive control of distributed energy resources, microgrids, and control centers. …”
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Review of Big Data Implementation and Expectations in Smart Cities by Yingnan Zhuang, Jeremy Cenci, Jiazhen Zhang

“…Research should prioritise effectiveness, applications, diverse fields, and interdisciplinary collaboration to advance smart cities comprehensively. In the post-COVID-19 era, using big data to optimise city management is key to fostering intelligent, green, and humane cities and to exploring efficient mechanisms to address urban development challenges in the new era.…”
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A hybrid deep learning framework for short-term load forecasting with improved data cleansing and preprocessing techniques by Muhammad Sajid Iqbal, Muhammad Adnan, Salah Eldeen Gasim Mohamed, Muhammad Tariq

“…Accurate load and generation forecasting stand pivotal for enhancing grid reliability and efficient operations. In this study, a comprehensive four-step approach is introduced for short-term load forecasting (STLF) aimed at precisely estimating power demand and generation. …”
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Electric vehicle path optimization research based on charging and switching methods under V2G by Haoran Liu, Aobei Zhang

“…Simultaneously, it adeptly equilibrates peak and off-peak loads within the distribution grid, fostering a more resilient and efficient energy ecosystem. Through rigorous experimental comparisons, we delve into the intricacies of the charging and swapping mode model, offering profound insights that can inform strategic decision-making within the logistics sector regarding optimal charging and swapping strategies. …”
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Environmental Assessment of 3D Printed Concrete: Potentials and Challenges, Perspectives, and Opportunities (2013-2023) by Marjan Salari, Behnam Akhoundi

“…Despite challenges like regulatory complexity and upfront investment, 3DPC represents a promising avenue for a more sustainable, efficient, and innovative future in construction.…”
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Soft Artificial Synapse Electronics by Md. Rayid Hasan Mojumder, Seongchan Kim, Cunjiang Yu

“…The utilization of organic and low-dimensional materials is highlighted, showcasing their plasticity and energy-efficient operation. Furthermore, the paper investigates the integration of functionality into SASs, particularly focusing on devices that autonomously sense external stimuli. …”
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Development of an Optimal Machine Learning Model to Predict CO₂ Emissions at the Building Demolition Stage by Gi-Wook Cha, Choon-Wook Park

“…The model developed in this study can be used to support decision-making at the initial design stage, evaluate sustainability, and establish carbon reduction strategies. It enables efficient data collection and processing and provides scalability for various analytical approaches compared to the existing life cycle assessment (LCA) approach. …”
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Exploration of Advanced Applications of Triboelectric Nanogenerator-Based Self-Powered Sensors in the Era of Artificial Intelligence by Yifeng Su, Dezhi Yin, Xinmao Zhao, Tong Hu, Long Liu

“…The review then delves into TENG-based self-powered sensors, introducing their self-powered mechanisms based on contact electrification and electrostatic induction, material selection strategies, novel structural designs, and efficient energy conversion methods. The integration of TENG-based self-powered sensors with Deep Learning algorithms is showcased through their groundbreaking applications in motion recognition, smart healthcare, smart homes, and human–machine interaction. …”
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Neutron Cross-Section Uncertainty and Reactivity Analysis in MOX and Metal Fuels for Sodium-Cooled Fast Reactor by Oyeon Kum

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Impacts of climate change and variability on rural livelihoods and adaptation strategies in Ethiopia: a review paper by Belay Daba, Tena Regasa, Siraj Mammo

“…This was due to rain-fed agricultural activity, low adaptation capacity, less attention given to policy development/implementation, lack of awareness, lack of modern agricultural input, and lack of effective, and efficient technology, etc. Ethiopian rural livelihoods need a comprehensive approach to mitigate climate change impacts. …”
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