Psilocybin’s acute and persistent brain effects: a precision imaging drug trial by Subha Subramanian, Travis Rick Reneau, Demetrius Perry, Ravi Chacko, Timothy O. Laumann, Karin Flavin, Christine Horan, Julie Schweiger, Nicholas Metcalf, Eric J. Lenze, Abraham Z. Snyder, Nico U. F. Dosenbach, Ginger Nicol, Joshua S. Siegel

“…Abstract Psilocybin (PSIL) is a psychedelic drug and a promising experimental therapeutic for many psychiatric conditions. Precision functional mapping (PFM) combines densely repeated resting state fMRI sampling and individual-specific network mapping to improve signal-to-noise ratio (SNR) and effect size in brain imaging research. …”
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Randomness-free detection of non-projective measurements: qubits & beyond by Sumit Rout, Some Sankar Bhattacharya, Paweł Horodecki

“…For a more generic consideration (bipartite and tripartite scenario), we provide numerical evidence for a projective-simulable bound on the reward function for our task. We also show a violation of this bound by using qutrit positive operator valued measures. …”
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Basal ganglia components have distinct computational roles in decision-making dynamics under conflict and uncertainty. by Nadja R Ging-Jehli, James F Cavanagh, Minkyu Ahn, David J Segar, Wael F Asaad, Michael J Frank

“…Through the application of novel computational modeling tools in tandem with direct neural recordings from human BG areas, we find that neural dynamics in the theta band manifest as variations in a collapsing decision boundary as a function of conflict and uncertainty. We collected intracranial recordings from patients diagnosed with either Parkinson's disease (PD) (n = 14) or dystonia (n = 3) in the subthalamic nucleus (STN), globus pallidus internus (GPi), and globus pallidus externus (GPe) during their performance of a novel perceptual discrimination task in which we independently manipulated uncertainty and conflict. …”
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Tracking Ocular Movements to Detect Respiratory Tract Infections by Heather Graz, Alissa Melinger, Annalu Waller, Michael Graz

“…AIM: We aim to use eye movement to probe sensorimotor and cognitive function to discover specific biomarkers of infectious disease in COVID-19 patients. …”
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Advancing the Integration of Digital Health Technologies in the Drug Development Ecosystem by Sakshi Sardar, Cheryl D Coon, Scottie Kern, Huong Huynh, Diane Stephenson, Joshua Rubin Abrams, Grace V Lee, Cecile Ollivier, Joseph A Hedrick, Martijn LTM Müller, Luc J W Evers, Lada Leyens, Collin Hovinga, Shu Chin Ma, Klaus Romero

“…DHTs offer immense potential opportunities for transformation in drug development by providing remote, high frequency, longitudinal insights into physiological processes, and how participants feel and function. Currently, DHT-based drug development tool–related efforts have yielded valuable insights into effective practices and areas that need improvement. …”
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Unraveling the neural dynamics of mathematical interference in english reading: A novel approach with deep learning and fNIRS data by Zhijie Liang, Ling Wang, Jianyu Su, Bo Sun, Daifa Wang, Juan Yang

“…To bridge this gap, the present study employs functional near-infrared spectroscopy (fNIRS) to construct a novel dataset on mathematical interference in English acquisition. …”
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Brain Activation during Memory Encoding in Type 2 Diabetes Mellitus: A Discordant Twin Pair Study by Amanda G. Wood, Jian Chen, Christopher Moran, Thanh Phan, Richard Beare, Kimberley Cooper, Stacey Litras, Velandai Srikanth

“…Twenty-two twin pairs discordant for type 2 diabetes mellitus (mean age 60.9 years) without neurological disease were recruited from the Australian Twin Registry (ATR) and underwent functional magnetic resonance imaging (fMRI) during a memory encoding task, cognitive tests, and structural MRI. …”
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Nanostructured Coatings Based on Langmuir–Blodgett Films of Perfluorodecanoic Acid for Flexible Sensors for the Analysis of Lead Ions in Water by G. B. Melnikova, D. V. Sapsaliou, T. N. Tolstaya, I. V. Korolkov, S. A. Chizhik, N. N. Zhumanazar, A. S. Baranova, M. V. Zdorovets

“…As a result of anthropogenic activities, the environment is polluted by heavy metals. The most important task is to find methods to control their content in water. …”
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Computer Vision Aided Beamforming Fused With Limited Feedback by T. Xiang, J. Gu, Y. Wang, Y. Gao, X. Zhang

“…Beamforming can be enhanced by the powerful sensing capability of cameras, for which this paper proposes a straightforward beam weight prediction method by implementing convolutional neural network (CNN) on images from cameras and a loss function based on chordal distance for this paper’s task. …”
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Distinct neural population code and causal roles of primate caudate nucleus in multimodal decision-making by Zhao Zeng, Ce Zhang, Yue Xu, Hua He, Yong Gu

“…A fundamental question is whether such a network is highly redundant, or each node is distinct with unique function. Using a visuo-vestibular decision-making task, here we show the subcortical caudate nucleus (CN) of male primates displays distinct population code compared to association cortices along the modality dimension. …”
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SEVERE CHRONIC ALLERGIC (AND RELATED) DISEASES: A UNIFORM APPROACH — A MEDALL-GA2LEN-ARIA POSITION PAPER IN COLLABORATION WITH THE WHO COLLABORATING CENTER FOR ASTHMA AND RHINITIS... by J. Bousquet, J.M. Anto, P. Demoly, H.J. Schunemann, A. Togias, M. Akdis

“…Severity refers to the loss of function of the organs induced by the disease process or to the occurrence of severe acute exacerbations. …”
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Advancements in one-dimensional protein structure prediction using machine learning and deep learning by Wafa Alanazi, Di Meng, Gianluca Pollastri

“…The accurate prediction of protein structures remains a cornerstone challenge in structural bioinformatics, essential for understanding the intricate relationship between protein sequence, structure, and function. Recent advancements in Machine Learning (ML) and Deep Learning (DL) have revolutionized this field, offering innovative approaches to tackle one- dimensional (1D) protein structure annotations, including secondary structure, solvent accessibility, and intrinsic disorder. …”
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Upper limb motor recovery in chronic stroke—longitudinal aggregate analysis from control group outcomes by Fabien Scalzo, Robert A. Coker, Lauren Souders, Leo Petrossian, Kern Bhugra, Lauren Sheehan, Eric C. Leuthardt, Eric C. Leuthardt, Alexander R. Carter

“…To isolate the impact of non-specific physical activity, studies involving robotics or task-specific therapies were excluded.ResultsThe primary outcome was the change in Fugl-Meyer Assessment of Upper Extremity (FMA-UE) motor scale. …”
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Does the tail show when the nose knows? Artificial intelligence outperforms human experts at predicting detection dogs finding their target through tail kinematics by George Martvel, Giulia Pedretti, Teddy Lazebnik, Anna Zamansky, Yuri Ouchi, Tiago Monteiro, Nareed Farhat, Ilan Shimshoni, Dan Grinstein, Yuval Michaeli, Paola Valsecchi, Nathaniel Hall, Sarah Marshall-Pescini

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Nearest-neighbors neural network architecture for efficient sampling of statistical physics models by Luca Maria Del Bono, Federico Ricci-Tersenghi, Francesco Zamponi

“…In particular, it captures properties such as the energy, the correlation function and the overlap probability distribution. …”
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Machine-guided cell-fate engineering by Evan Appleton, Jenhan Tao, Songlei Liu, Christopher Glass, Gregory Fonseca, George Church

“…Summary: The creation of induced pluripotent stem cells (iPSCs) has enabled scientists to explore the function, mechanisms, and differentiation processes of many types of cells. …”
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Computerised Method of Multiparameter Optimisation of Predictive Control Algorithms for Asynchronous Electric Drives by Grygorii Diachenko, Serhii Semenov, Katarzyna Marczak, Gernot Schullerus, Ivan Laktionov

“…A series of simulation experiments were carried out by varying the sampling step, number of iterations, prediction horizon, loss function parameters, and maximum linear search step to identify their impact on the control quality indicators. …”
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Efficient multi-UAV path planning in dynamic and complex environments using hybrid polar lights optimization by Ziyin Xu, Zhilin Wang, Rui Liu, Chenliang Huang, Yuxiang Shi, Mingjing Wang, Huiling Chen

“…Experimental results demonstrate that the CCPLO algorithm outperforms existing algorithms in the CEC 2017 benchmark function test set. Specifically, in multi-obstacle and dynamic task environments, CCPLO effectively designs safer and more efficient paths, highlighting its strong potential for UAV swarm path planning.…”
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EEG correlates of egocentric and altercentric biases in forensic cases with borderline personality by Vincent Rochas, Marie-Louise Montandon, Cristelle Rodriguez, François R. Herrmann, François R. Herrmann, Ariel Eytan, Ariel Eytan, Alan J. Pegna, Christoph M. Michel, Panteleimon Giannakopoulos, Panteleimon Giannakopoulos

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Reconciling market and moral logics on a minimum wage: Supermarket work in Australia during the first two years of the SARS-COV-2 pandemic by Chris Degeling, Sittichoke Chawraingern, Gwendolyn L. Gilbert, Claire Hooker, Su-yin Hor, Jane Williams

“…Essential workers generate and maintain basic services that populations must receive, without interruption, to sustain a healthy, functional society. When SARS-COV-2 spread around the world, mundane low-paid work in essential non-healthcare industries such as supermarkets, became high risk, makeshift and unpredictable. …”
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