Dynamics of striatal action selection and reinforcement learning by Jack W Lindsey, Jeffrey Markowitz, Winthrop F Gillis, Sandeep R Datta, Ashok Litwin-Kumar

“…However, this pathological behavior is reversed if functionally opponent dSPNs and iSPNs, which promote and suppress the current behavior, are simultaneously activated by efferent input following action selection. …”
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Successful surgical correction of ascending aortic dissection in a kidney transplant patient by R. O. Kantaria, O. N. Vetchinnikova, C. A. Pasov, V. A. Dudakov

“…We present the first clinical case of successful surgical correction of ascending aortic dissection (DeBakey type I) in a young patient with a functioning kidney graft. …”
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Survival and Success Rates of Different Shoulder Designs: A Systematic Review of the Literature by Marco Tallarico, Marco Caneva, Silvio Mario Meloni, Erta Xhanari, Yuki Omori, Luigi Canullo

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Allocating the Sample Size in Phase II and III Trials to Optimize Success Probability by Daniele De Martini

“…Here, the problem of allocating available resources, in terms of sample size, to phase II and phase III is studied with the aim of increasing success rate. The overall success probability (OSP) is accounted for.…”
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A Poisson Process AutoDecoder for X-Ray Sources by Yanke Song, V. Ashley Villar, Rafael Martínez-Galarza, Steven Dillmann

“…The arrival of photons as a function of time follows a Poisson process and can vary by orders-of-magnitude, presenting obstacles for common tasks such as source classification, physical property derivation, and anomaly detection. …”
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Open Source Sensor Interface for Soft Detectors in Surgical Simulators by Thomas Thurner, Roland Pruckner, Martin Kaltenbrunner, Andreas Schrempf

“…In this context, soft sensors enable low-cost position or force detection in haptically realistic synthetic tissue imitations to link the physical and virtual components of a patient phantom. …”
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Cloning and Functional Analysis of Skin Host Defense Peptides from Yakushima Tago’s Brown Frog (<i>Rana tagoi yakushimensis</i>) and Development of Serum Endotoxin Detection System... by Taichi Aono, Saki Tamura, Yua Suzuki, Taichi Imanara, Ryosei Niwa, Yoshie Yamane, Tetsuya Kobayashi, Sakae Kikuyama, Itaru Hasunuma, Shawichi Iwamuro

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Highly Efficient Adsorption of Uranium(VI) Ions in Aqueous Solution by Imidazole-4,5-Dicarboxylic Acid-Functionalized UiO-66 by Tian Lan, Xiechun Liu, Haifeng Cong, Xiaofan Ding, Jing Zhao, Songtao Xiao

“…In this study, a novel adsorbent, UiO-66-H₃IMDC, was successfully prepared by functionalizing UiO-66 with imidazole-4,5-dicarboxylic acid (H3IMDC). …”
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A Generalized Method for Sentiment Analysis across Different Sources by Abubakar M. Ashir

“…In this study, a rule and lexical-based procedure is proposed together with unsupervised machine learning to implement sentiment analysis with an improved generalization ability across different sources. To deal with sources devoid of syntactic and grammatical structure, the approach incorporates a ruled-based technique for emoticon detection, word contraction expansion, noise removal, and lexicon-based text preprocessing using lexical features such as part of speech (POS), stop words, and lemmatization for local context analysis. …”
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Image Deconvolution to Resolve Astronomical X-Ray Sources in Close Proximity: The <i>NuSTAR</i> Images of SXP 15.3 and SXP 305 by Sayantan Bhattacharya, Dimitris M. Christodoulou, Silas G. T. Laycock

“…The broad point spread function of the <i>NuSTAR</i> telescope makes resolving astronomical X-ray sources a challenging task, especially for off-axis observations. …”
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Remote Sensing Extraction of Damaged Buildings in the Shigatse Earthquake, 2025: A Hybrid YOLO-E and SAM2 Approach by Zhimin Wu, Chenyao Qu, Wei Wang, Zelang Miao, Huihui Feng

“…The dataset used for training contained labeled examples of damaged buildings, and the model optimization was carried out using stochastic gradient descent (SGD), with cross-entropy and mean squared error as the selected loss functions. Upon evaluation, the model reached a precision of 0.840, a recall of 0.855, an F1-score of 0.847, and an IoU of 0.735. …”
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Use of artificial water sources by tapirs in the Maya Forest, Mexico by Fernando M. Contreras-Moreno, Khiavett Sánchez-Pinzón, Daniel Jesús-Espinosa, Jose Mauricio Méndez-Tun, Jesus Lizardo Cruz-Romo, Pedro Bautista-Ramírez

“…The PIV, occupancy, and detectability obtained in the present study were similar to those reported in natural water bodies in the Maya Forest, which supports the idea that the water troughs could temporarily supply maintenance functions for tapirs during the dry season or in periods when water is scarce in the landscape, being this the only source of water available to satisfy their requirements for this resource in the CBR. …”
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Source localization based on time delay estimation in complex environment by Da-wei ZHANG, Chang-chun BAO, Bing-yin XIA

“…In order to improve the performance of source localization in noisy and reverberant environments,a novel time delay estimation (TDE) method was proposed.This method is called acoustical transfer function ratio based on statistical model (ATFR-SM).In the proposed algorithm,the noise reduction method based on the statistical model was adopted to reduce the effect of noise on acoustical transfer Function (ATF).In the ATF method,the power spectral density (PSD) was smoothed and whitened to reduce the effect of reverberations.voice activity detection (VAD) was used to distinguish the speech period from the noise period,and the TDE was performed in the speech period to improve the estimation accuracy.Moreover,the proposed TDE method and the linear closed-form method for source localization were combined to constitute a source localization system.The results of performance evaluation show that,in both the noisy and reverberant conditions,the lower percentage of abnormal points (PAP) and lower root mean square error (RMSE) can be achieved by the proposed TDE method than those of the reference methods.Meanwhile,the source localization has higher accuracy than the reference methods.…”
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Source reconstruction accuracy of MEG and EEG Bayesian inversion approaches. by Paolo Belardinelli, Erick Ortiz, Gareth Barnes, Uta Noppeney, Hubert Preissl

“…Still, no correct network detection is possible without reliable source localization. …”
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Non-Line-of-Sight Location With Gauss Filtering Algorithm Based on a Model of Photon Flight by Yu Ren, Zongliang Xie, Yihan Luo, Shaoxiong Xu, Haotong Ma, Yi Tan

“…Recently, non-line-of-sight (NLOS) detection based on time of flight (TOF) has been investigated. …”
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E-Business Strategy for Logistics Companies: Achieving Success through Information Systems Planning by Maria Kamariotou, Fotis Kitsios, Michael Madas

“…Furthermore, managers must also select the suitable IT facilities to align business strategy with the business structure. …”
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Implementation of Moodle, an open-source solution for Team Based Learning by Reid Proctor, Renee Hayslett

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Implementation of Moodle, an open-source solution for Team Based Learning by Reid Proctor, Renee Hayslett

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Implementation of Moodle, an open-source solution for Team Based Learning by Reid Proctor, Renee Hayslett

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Succession characteristics and assembly process of soil microbiome at reclaimed farmlands in coal mining area by Jianhua Li, Jianhua Li, Zixu Li, Yanwen Sun, Jinjing Lu, Jinjing Lu, Qiang Zhang, Xinhua He, Xinhua He, Xinhua He, Minggang Xu, Minggang Xu

“…The fungal keystone taxa increased progressively, with Ascomycota as the dominant keystone phylum, while Basidiomycota and Mortierellomycota responded rapidly. (4) Enhanced bacterial functional potential (chemoheterotrophy, aerobic chemoheterotrophy, nitrification) and fungal saprotrophic capacity (undefined, wood saprotrophs) (5) Community assembly involved both deterministic (bacteria: dominated by heterogeneous selection) and stochastic processes (fungi: dispersal limitation/undominated). …”
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