Modular Design of Artificial Tissue Homeostasis: Robust Control through Synthetic Cellular Heterogeneity by Miller, Miles Aaron, Hafner, Marc, Sontag, Eduardo, Davidsohn, Noah Justin, Subramanian, Sairam, Purnick, Priscilla E. M., Lauffenburger, Douglas A., Weiss, Ron

“…Diabetes therapy represents a possible application for engineered homeostasis, where genetically programmed stem cells maintain a steady population of β-cells despite continuous turnover. We develop a new iterative process that incorporates modular design principles with hierarchical performance optimization targeted for environments with uncertainty and incomplete information. …”
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Development of Transcriptomic Resources for Interrogating the Biosynthesis of Monoterpene Indole Alkaloids in Medicinal Plant Species by Gongora-Castillo, Elsa, Childs, Kevin L., Fedewa, Greg, Hamilton, John P., Liscombe, David K., Magallanes-Lundback, Maria, Mandadi, Kranthi K., Nims, Ezekiel, Runguphan, Weerawat, Vaillancourt, Brieanne, Varbanova-Herde, Marina, DellaPenna, Dean, McKnight, Thomas D., O'Connor, Sarah Ellen, Buell, C. Robin

“…Using next generation sequencing technology, we sampled the transcriptomes of these species across a diverse set of developmental tissues, and in the case of C. roseus, in cultured cells and roots following elicitor treatment. Through an iterative assembly process, we generated robust transcriptome assemblies for all three species with a substantial number of the assembled transcripts being full or near-full length. …”
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Rupture process of the 2010 Mw 7.8 Mentawai tsunami earthquake from joint inversion of near-field hr-GPS and teleseismic body wave recordings constrained by tsunami observations by Yue, Han, Lay, Thorne, Rivera, Luis, Bai, Yefei, Yamazaki, Yoshiki, Cheung, Kwok Fai, Hill, Emma M., Sieh, Kerry, Kongko, Widjo, Muhari, Abdul

“…Finite-fault rupture models, obtained by joint inversion of the high-rate (hr)-GPS time series and numerous teleseismic broadband P and S wave seismograms together with iterative forward modeling of the tsunami recordings, indicate rupture propagation ~50 km up dip and ~100 km northwest along strike from the hypocenter, with a rupture velocity of ~1.8 km/s. …”
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McDPC : multi-center density peak clustering by Wang, Yizhang, Wang, Di, Zhang, Xiaofeng, Pang, Wei, Miao, Chunyan, Tan, Ah-Hwee, Zhou, You

“…Density peak clustering (DPC) is a recently developed density-based clustering algorithm that achieves competitive performance in a non-iterative manner. DPC is capable of effectively handling clusters with single density peak (single center), i.e., based on DPC’s hypothesis, one and only one data point is chosen as the center of any cluster. …”
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3D articulated skeleton extraction using a single consumer-grade depth camera by Lu, Xuequan, Deng, Zhigang, Luo, Jun, Chen, Wenzhi, Yeung, Sai-Kit, He, Ying

“…We lastly present an iterative Linear Blend Skinning based algorithm for accurate joints learning. …”
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Wavefront shaping: a versatile tool to conquer multiple scattering in multidisciplinary fields by Yu, Zhipeng, Li, Huanhao, Zhong, Tianting, Park, Jung-Hoon, Cheng, Shengfu, Woo, Chi Man, Zhao, Qi, Yao, Jing, Zhou, Yingying, Huang, Xiazi, Pang, Weiran, Yoon, Hansol, Shen, Yuecheng, Liu, Honglin, Zheng, Yuanjin, Park, YongKeun, Wang, Lihong V., Lai, Puxiang

“…Recent advances in wavefront shaping have demonstrated that scattering- or component-induced phase distortions can be compensated by optimizing the wavefront of the input light pattern through iteration or by conjugating the transmission matrix of the scattering medium. …”
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Adaptive enhancement of acoustic resolution photoacoustic microscopy imaging via deep CNN prior by Zhang, Zhengyuan, Jin, Haoran, Zhang, Wenwen, Lu, Wenhao, Zheng, Zesheng, Sharma, Arunima, Pramanik, Manojit, Zheng, Yuanjin

“…The trained network can be directly plugged into the model-based optimization framework for iterative AR-PAM image enhancement, which fitted for different degradation mechanisms. …”
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Wheel-rail force identification for high-speed railway based on a modified weighted l₁-norm regularization with optimal strain sensors by Wang, Xin, Yang, Yaowen, Li, Shunlong, Zhuo, Yi, Meng, Fanzeng

“…The wheel-rail forces are decomposed into the product of a series of redundant basis functions and corresponding coefficients. The fast iterative shrinkage threshold algorithm (FISTA) and the Bayesian information criterion (BIC) are used to seek the solution of l1-norm regularization and to select the optimal regularization coefficients, respectively. …”
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Cognitive and physical age gaps in relation to mild cognitive impairment and behavioral phenotypes by Yu Junhong, Ng, Ted Kheng Siang, Mahendran, Rathi

“…Across 5000 random train-test split iterations, we showed that older cognitive age gaps were significantly associated with MCI (versus cognitively normal) and worse outcomes across several well-being and attitude-related measures. …”
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Visualising cancer in 3D: 3-Dimensional tissue imaging for management of cutaneous basal cell carcinoma by Tan, Yingrou, Zhang, Yuning, Li, Jackson Liang Yao, Chia, Hui Yi, Tan, Melissa Wee Ping, Ebel, Gernot, Leong, Keith Weng Kit, Lim, Eiffer Ying Qi, Chong, Kylia Kai Ling, Lee, Bernett Teck Kwong, Ng, Lai Guan, Tey, Hong Liang

“…Surgical management of basal cell carcinoma (BCC) typically involves surgical excision with post-operative margin assessment using the bread-loafing technique; or gold-standard Mohs micrographic surgery (MMS), where margins are iteratively examined for residual cancer after tumour removal, with additional excisions performed upon detecting residual tumour at margins. …”
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Joint client-and-sample selection for federated learning via bi-level optimization by Li, Anran, Wang, Guangjing, Hu, Ming, Sun, Jianfei, Zhang, Lan, Tuan, Luu Anh, Yu, Han

“…It performs meta-learning based online approximation to iteratively update global FL models, select the most positively influential samples and deal with training data noise. …”
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Multi-objective synthesis optimization and kinetics of a sustainable terpolymer by Tan, Jin Da, Low, Andre Kai Yuan, Thoi, Shannon Rui Ying, Tan, Sze Yu, Zhao, Wenguang, Lim, Yee-Fun, Li, Qianxiao, Khan, Saif A., Ramalingam, Balamurugan, Hippalgaonkar, Kedar

“…To balance the objectives of maximizing Tg while minimizing styrene incorporation, we employ multi-objective Bayesian optimization to efficiently sample in a design space comprising 5 experimental parameters. We perform two iterations of optimization for a total of 89 terpolymers, reporting terpolymers with a Tg above ambient temperature while retaining less than 50% styrene incorporation. …”
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SPICE2: Spatial Processors Interconnected for Concurrent Execution for Accelerating the SPICE Circuit Simulator Using an FPGA by Kapre, Nachiket, DeHon, André

“…To properly parallelize the complete simulator, we decompose SPICE into its three constituent phases-model evaluation, sparse matrix-solve, and iteration control-and customize a spatial architecture for each phase independently. …”
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Data-driven neuroendocrine-pid tuning based on safe experimentation dynamics for control of TITO coupled tank system with stochastic input delay by Mohd Riduwan, Ghazali, Mohd Ashraf, Ahmad, Raja Mohd Taufika, Raja Ismail

“…Moreover, the gain sequence of the SED is independent of the number of iterations by fixed the interval size in finding the optimal solu-tion. …”
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Simulated Kalman Filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem by Suhazri Amrin, Rahmad, Zuwairie, Ibrahim, Zulkifli, Md. Yusof

“…Researchers have worked on ideas to improve exploration capability to prevent premature convergence by trying prediction operators, opposition-based learning, and different iteration strategies. There were also attempts to hybridize SKF with other famous algorithms such as Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA), and Sine Cosine Algorithm (SCA) to improve its performance. …”
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An improved gbln-pso algorithm for indoor localization problem in wireless sensor network by Muhammad Shahkhir, Mozamir

“…Thus, we improved GbLN-PSO, known as IGbLN-PSO algorithm, where the neighbor particles are distributed around the main particle in every iteration to localize unknown node positions. Then, we compared the result with Particle Swarm Optimization (PSO), Differential Evolution Particle Swarm Optimization (DEPSO), Health Particle Swarm Optimization (HPSO) and Global best Local Neigborhood Particle Swarm Optimization (GbLN-PSO) algorithm. …”
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Pristine and modified biochar applications as multifunctional component towards sustainable future : Recent advances and new insights by Farah Amalina, Ishak, Krishnan, Santhana, Zularisam, Abdul Wahid, Mohd, Nasrullah

“…Modified BC, an enhanced iteration of BC, has garnered considerable interest within academia. …”
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A new teaching learning artificial bee colony based maximum power point tracking approach for assessing various parameters of photovoltaic system under different atmospheric condit... by Dokala Janandra, Krishna Kishore

“…As per the simulation outcomes, the TLABC method shows a better response in terms of average tracking time, convergence speed of 0.5175 sec, 9 iterations, and efficiency of 99.99% under various atmospheric circumstances. …”
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Data-driven brain emotional learning-based intelligent controller-PID control of MIMO systems based on a modified safe experimentation dynamics algorithm by Shahrizal, Saat, Mohd Ashraf, Ahmad, Mohd Riduwan, Ghazali

“…The MSEDA introduces a dynamic probability coefficient that decreases with each iteration. The adjustment improves the balance between exploration and exploitation phases, which enhances control accuracy. …”
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Institutionalizing uncertainty : exploring how infrastructure stakeholders can prepare for uncertain climate futures by Schenk, Todd Edward William

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