A deep learning-based fault detection and classification in smart electrical power transmission system by Khaleefah, Shihab Hamad, Mostafa, Salama A., Gunasekaran, Saraswathy Shamini, Khattak, Umar Farooq, Siti Salwani, Yaacob, Alanda, Alde

“…The design of the deep learning approach comprises a long-term and short-term memory (LSTM) model. The LSTM model is trained on an electrical fault detection dataset that contains three-phase currents and voltages at one end serving as inputs and fault detection as outputs. …”
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Optimizing carbon capture and storage (CCS) through thermal biomass conversion into terra preta and hydrogen: A short review by Norazlianie, Sazali, Kettner, Maurice, Salim, Naqib

“…Key findings show that Terra Preta can significantly enhance soil fertility, augment crop yields, and foster resilience to environmental stressors while sequestering carbon. However, long-term field studies are necessary to comprehensively evaluate the efficacy of Terra Preta across various agricultural systems and climates. …”
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Combining laser frequency combs and iodine cell calibration techniques for Doppler detection of exoplanets by Cahoy, K., Fischer, D., Spronck, J., Demille, D.

“…The smaller mass and longer period of true Earth analogues require the ability to detect a reflex velocity of ~10 cm/s over long time periods. Currently, typical astronomical spectrographs calibrate using either Iodine absorptive cells or Thorium Argon lamps and achieve ~10 m/s precision, with the most stable spectrographs pushing down to ~2 m/s. …”
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High-rate tests on resistive plate chambers operated with eco-friendly gas mixtures by Abbrescia, M., Aielli, G., Aly, R., Arena, M. C., Barroso, M., Benussi, L., Bianco, S., Bordon, F., Boscherini, D., Bruni, A., Buontempo, S., Busato, M., Camarri, P., Cardarelli, R., Congedo, L., De Jesus Damiao, D., De Serio, M., Di Ciaccio, A., Di Stante, L., Dupieux, P., Eysermans, J., Ferretti, A., Galati, G., Gagliardi, M., Guida, R., Iaselli, G., Joly, B., Lee, K. S., Liberti, B., Lucero Ramirez, D., Mandelli, B., Manen, S. P., Massa, L., Pastore, A., Pastori, E., Piccolo, D., Pizzimento, L., Polini, A., Proto, G., Pugliese, G., Quaglia, L., Ramos, D., Rigoletti, G., Rocchi, A., Romano, M., Samalan, A., Salvini, P., Santonico, R., Saviano, G., Simone, S., Terlizzi, L., Tytgat, M., Vercellin, E., Verzeroli, M., Zaganidis, N.

“…Tests aimed to assess the performance of this kind of detectors in high-irradiation conditions, analogous to the ones foreseen for the coming years at the Large Hadron Collider experiments, were performed, and demonstrate a performance basically similar to the one obtained with the gas mixtures currently in use, based on tetrafluoroethane, which is being progressively phased out for its possible contribution to the greenhouse effect. Long term aging tests are also being carried out, with the goal to demonstrate the possibility of using these eco-friendly gas mixtures during the whole High Luminosity phase of the Large Hadron Collider.…”
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Modulating Cardiac Hemodynamics Using Tunable Soft Robotic Sleeves in a Porcine Model of HFpEF Physiology for Device Testing Applications (Adv. Funct. Mater. 8/2024) by Rosalia, Luca, Ozturk, Caglar, Wang, Sophie X., Quevedo‐Moreno, Diego, Saeed, Mossab Y., Mauskapf, Adam, Roche, Ellen T.

“…This work overcomes limitations of prior HFpEF models, such as low hemodynamic accuracy, high costs, and long development phases. The versatile and adjustable platform introduced can transform HFpEF device development, aiming to enhance the lives of the 32 million people affected globally.…”
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Synchronous-Clock Range-Angle Relative Acoustic Navigation: A Unified Approach to Multi-AUV Localization, Command, Control, and Coordination by Rypkema, Nicholas, Schmidt, Henrik, Fischell, Erin

“…Multiple deployments with a fleet of three miniature, low-cost SandShark AUVs performing closed-loop acoustic navigation in real-time provide experimental results validated against a secondary long-baseline positioning system, demonstrating the capabilities and robustness of our approach with real-world data.…”
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Perseus AUV: Towards Linear Convoying of Agile A-Sized AUVs Through Acoustic Track-and-Trail by Rypkema, Nicholas R., Randeni, Supun, Sacarny, Michael, Benjamin, Michael, Triantafyllou, Michael

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On the largest product-free subsets of the alternating groups by Keevash, Peter, Lifshitz, Noam, Minzer, Dor

“…This conjecture was refuted by Gowers (whose result was subsequently improved by Eberhard), still leaving the long-standing problem of determining the largest product-free subset of A n $A_{n}$ wide open. …”
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Sawmill: From Logs to Causal Diagnosis of Large Systems by Markakis, Markos, Chen, An Bo, Youngmann, Brit, Gao, Trinity, Zhang, Ziyu, Shahout, Rana, Chen, Peter Baile, Liu, Chunwei, Sabek, Ibrahim, Cafarella, Michael

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Accelerated synthesis of Li(Ni0.8Co0.1Mn0.1)O2 cathode materials using flame-assisted spray pyrolysis and additives by Zhang, Jianan, Muldoon, Valerie L, Deng, Sili

“…As a result, with only 20 min of calcination at 875 °C and without any preheating and ramping steps, the NCM811 sample showed an ordered layered structure and comparable electrochemical performance to those with long-time calcination. Moreover, the current work demonstrated that the shortened post calcination was benefited from lithium-embedded particles that likely improved the uniformity of lithium distribution in as-synthesized powder. …”
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A Pilot Study to Evaluate the Relationships between Supine Proprioception Assessments and Upright Functional Mobility by Bellisle, Rachel F., Peters, Brian T., Oddsson, Lars, Wood, Scott J., Macaulay, Timothy R.

“…Long-duration bedrest impairs upright postural and locomotor control, prompting the need for assessment tools to predict the effects of deconditioning on post-bedrest outcome measures. …”
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Individual Mobility Prediction in Mass Transit Systems Using Smart Card Data: An Interpretable Activity-Based Hidden Markov Approach by Mo, Baichuan, Zhao, Zhan, Koutsopoulos, Haris N, Zhao, Jinhua

“…Based on a case study of Hong Kong’s metro system, we show that the proposed model can achieve similar prediction performance as the state-of-the-art long short-term memory (LSTM) model. Unlike LSTM, the proposed IOHMM approach can also be used to analyze hidden activity patterns, which provides meaningful behavioral interpretation for why an individual makes a certain trip. …”
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Learning design for short-duration e-textile workshops: outcomes on knowledge and skills by Ioannou, Andri, Miliou, Ourania, Georgiou, Yiannis, Timotheou, Stella, Barkhuus, Louise, Rode, Jennifer

“…Despite the promising findings by primarily long-term interventions structured around e-textiles, educational curriculum reform has been slow to materialize. …”
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Evaluation of Deep Learning Algorithms in Predicting Seismic Response of a Reinforced Concrete Structure by Morgan, Jacob A.

“…Findings from the work show the data-driven Long Short-Term Memory (LSTM) network performing the most accurately, but not consistently outperforming the other algorithms. …”
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Modeling the Performance of a Multi-Hop LoRaWAN Linear Sensor Network for Energy-Efficient Pipeline Monitoring Systems by Alhomyani, Haneen, Fadel, Mai, Dimitriou, Nikos, Bakhsh, Helen, Aldabbagh, Ghadah

“…Since monitoring systems in long-distance infrastructures may benefit from solutions based on multi-hop communication, we consider oil pipeline infrastructures in the Saudi Arabian desert as a case study. …”
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Empirical estimation of metal powder bed fusion technological improvement rate by Alves de Campos, António, Torres Ferreira, Bruna, Gonçalves, Afonso, Leite, Marco, Ribeiro, Inês, L. Magee, Christopher, Henriques, Elsa

“…This study empirically estimates the technological improvement rate (TIR) of metal powder bed fusion (PBF) technology, widely used in aerospace, automotive, and medical industries. PBF's continuous long-term adoption growth is driven by its ability to enhance manufacturing efficiency in terms of time and raw material use, as well as its capability to produce high-quality, high-strength, complex-shaped parts. …”
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Decarbonizing the US Power Sector by Farnsworth, Amanda

“…At deep decarbonization levels, the need for long-duration energy storage (like pumped hydropower storage) increases. …”
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Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging by Hirt, Sebastian, Höhl, Andreas, Schaeffer, Joachim, Pohlodek, Johannes, Braatz, Richard D, Findeisen, Rolf

“…This approach establishes a hierarchical control framework where Bayesian optimization directly fine-tunes closed-loop behavior towards a global and long-term objective, while MPC handles lower-level, short-term control tasks. …”
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Temporal Telepresence: Immersive Interfaces for TeleAbsence by Pillis, D.

“…The urge to capture our past into networks of photographic, written, filmed, and object-based narratives has long been a means for individuals to identify change, growth, and gain perspective on themselves. …”
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A model for cis-regulation of transcriptional condensates and gene expression by proximal lncRNAs by Natarajan, Pradeep, Shrinivas, Krishna, Chakraborty, Arup K

“…Long noncoding RNAs (lncRNAs) perform several important functions in cells including cis-regulation of transcription. …”
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