Robust growth of avirulent phase II Coxiella burnetii in bone marrow-derived murine macrophages. by Diane C Cockrell, Carrie M Long, Shelly J Robertson, Jeffrey G Shannon, Heather E Miller, Lara Myers, Charles L Larson, Tregei Starr, Paul A Beare, Robert A Heinzen

“…Results with NMII were recapitulated in primary macrophages where C57BL/6J Nramp1+ BMDM efficiently killed Salmonella enterica serovar Typhimurium. …”
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A Package Level Regression Test Selection Approach for Java Software Systems by Mohammed Al-Refai, Mahmoud M. Hammad

“…An approach to enhance its efficiency is Regression Test Selection (RTS), which selectively re-executes a subset of relevant tests that are impacted by code modifications. …”
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Novel hybrid transfer neural network for wheat crop growth stages recognition using field images by Aisha Naseer, Madiha Amjad, Ali Raza, Kashif Munir, Aseel Smerat, Henry Fabian Gongora, Carlos Eduardo Uc Rios, Imran Ashraf

“…Abstract Wheat is one of the world’s most widely cultivated cereal crops and is a primary food source for a significant portion of the population. …”
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Generation of effective and specific human TCRs against tumor/testis antigen NY-ESO-1 in mice with humanized T cell recognition system by Xiaojing Tina Chen, Xiaojing Tina Chen, Matthias Leisegang, Matthias Leisegang, Ioannis Gavvovidis, Ioannis Gavvovidis, Seth M. Pollack, Felix K. M. Lorenz, Ton N. Schumacher, Ton N. Schumacher, Oliver Daumke, Thomas Blankenstein

“…TCR-ESO appeared to have similar efficiency in antigen recognition as an in vitro affinity-matured TCR, TCR 1G4-α95LY, which was applied in clinical trials. …”
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Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT by Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Hichem Sahli, Nikos Deligiannis, Emma Verelst, Bart Ilsen, Simon Van Eyndhoven, Lucie Seyler, Arne Witdouck, Gilles Darcis, Julien Guiot, Athanasios Giannakis, Jef Vandemeulebroucke

“…In times of high incidence, a prognostic model based on data efficiently retrieved from one source can enable fast decision support. …”
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A Novel Cost-Effective Unmanned Ground Vehicle Platform for Robotics Education by Clyde Sanmig Domin D. Corpuz, Gilroy A. Cuaycong, Raffaello Giuliano D. Diño, Raphael C. Estacio, Gregg Angelo C. Señar, Alvin Y. Chua

“…This study demonstrates a novel unmanned ground vehicle platform suitable for educational robotics that is cost-effective, modular, and utilizes 3D-printed components. The methodology involved creating three UGV designs using Fusion 360 and implementing Finite Element Analysis (FEA) testing in ANSYS to identify potential failure points. …”
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Predicting the mechanical performance of industrial waste incorporated sustainable concrete using hybrid machine learning modeling and parametric analyses by Md. Alhaz Uddin, Md. Habibur Rahman Sobuz, Md. Kawsarul Islam Kabbo, Md. Kanan Chowdhury Tilak, Ratan Lal, Md. Selim Reza, Fahad Alsharari, Mohamed AbdelMongy, Masuk Abdullah

“…A total of 441 data entries were sourced from various publications. Multiple machine learning techniques, such as light gradient boosting (LGB), extreme gradient boosting (XGB), and decision trees (DT), along with hybrid approaches like XGB-LGB and XGB-DT, were utilized to study how these variables influence compressive strength. …”
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Robust Pareto Transistor Sizing of GaN HEMTs for Millimeter-Wave Applications by Rafael Perez Martinez, Stephen Boyd, Srabanti Chowdhury

“…We assess designs based on three critical objectives, evaluating each by its worst-case performance across a range of Gate-Source Voltages (<inline-formula> <tex-math notation="LaTeX">$V_{\text {GS}}$ </tex-math></inline-formula>). …”
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Enhanced optical and structural traits of irradiated lead borate glasses via Ce3+ and Dy3+ ions with studying Radiation shielding performance by O. I. Sallam, Y. S. Rammah, Islam M. Nabil, Ahmed M. A. El-Seidy

“…Furthermore, X-ray photoelectron spectroscopy was utilized to get insight into the coordination chemistry of the created glass samples. …”
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UrduSER: A comprehensive dataset for speech emotion recognition in Urdu languageMendeley Data by Muhammad Zaheer Akhtar, Rashid Jahangir, QuratUl Ain, Muhammad Asif Nauman, Mueen Uddin, Syed Sajid Ullah

“…This comprehensive metadata index enables researchers and developers to efficiently access, organize, and utilize the UrduSER dataset. …”
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Deteksi Kejadian Lalu Lintas pada Teks Twitter dengan Pendekatan Klasidikasi Multi-Label Berbasis Deep Learning by Luthfi Atikah, Diana Purwitasari, Nanik Suciati

“…This can be detrimental to road users, therefore it is necessary to detect traffic events accurately and efficiently. Currently, Twitter is used as a source of information to detect an incident. …”
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MALDI imaging mass spectrometry differentiates basal cell carcinoma from trichoblastoma and trichoepithelioma: A proof of principle study. by Jennifer M C Ranes, Jessica L Moore, Nathan H Patterson, Sarah P Nicholson, Sara Kantrow, Jason Robbins, Richard M Caprioloi, Jeremy L Norris, Rami N Al-Rohil

“…This study aims to address the challenges of traditional histopathological evaluation by utilizing matrix-assisted laser desorption ionization imaging mass spectrometry (MALDI IMS).…”
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Fire and Ice in the Whirlpool: Spatially Resolved Scaling Relations between X-Ray-emitting Hot Gas and Cold Molecular Gas in M51 by Chunyi Zhang, Junfeng Wang, Tian-Wen Cao

“…We demonstrate that the core-collapse supernovae (SNe) are the primary source of energy for heating gas in the galactic center of M51, leading to the observed steep ${L}_{0.5-2\,{\rm{keV}}}^{{\rm{gas}}}$ – L _IR and ${L}_{0.5-2\,{\rm{keV}}}^{{\rm{gas}}}$ – ${L}_{{\rm{gas}}}^{{\rm{{\prime} }}}$ relations, as their X-ray radiation efficiencies ( η  ≡  ${L}_{0.5-2\,{\rm{keV}}}^{{\rm{gas}}}$ / ${\dot{E}}_{{\rm{SN}}}$ ) increase with the star formation rate surface densities (Σ _SFR ), where ${\dot{E}}_{{\rm{SN}}}$ is the SN mechanical energy input rate.…”
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FLAML version 2.3.3 model-based assessment of gross primary productivity at forest, grassland, and cropland ecosystem sites by J. Lai, J. Lai, Y. Zhang, A. Wang, W. Fei, Y. Diao, R. Li, J. Wu

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The Value of PET/CT-Based Radiomics in Predicting Adrenal Metastases in Patients with Cancer by Qiujun He, Xiangxing Kong, Xiangxi Meng, Xiuling Shen, Nan Li

“…Logistic regression analysis was employed to build models based on clinical and PET/CT routine parameters. The open-source software Python (version 3.7.11) was utilized to process the regions of interest (ROI) delineated by ITK-SNAP, extracting radiomic features. …”
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medAL-suite: A software solution for creating and deploying complex clinical decision support algorithms by Ludovico Gennaro Cobuccio, Vincent Faivre, Rainer Tan, Alan Vonlanthen, Fenella Beynon, Emmanuel Barchichat, Alain Fresco, Quentin Girard, Sinan Ucak, Sylvain Schaufelberger, Ibrahim Evans Mtebene, Peter Agrea, Emmanuel Kalisa, Gillian A. Levine, Martin Norris, Sabine Renggli, Alix Miauton, Lisa Cleveley, Kristina Keitel, Julien Thabard, Valérie D’Acremont, Alexandra V. Kulinkina

“…Methods In response to these challenges, we developed open-source software called the Medical Algorithm Suite (medAL-suite), consisting of four components, with a primary goal of increasing efficiency, accuracy, and transparency of CDSS creation by giving experienced clinicians, rather than software developers, greater control over the process. …”
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Sustainable production of CaO rich-indigofera (Indigofera zollingeriana) as heterogeneous catalyst of biodiesel from refined bleached deodorized palm olein using associated transes... by Taslim, Silvia Nova, Renita Manurung, Iriany, Vikram Alexander, Anggara Dwita Burmana

“…This study aims to apply the potential of indigofera leaves ash (Indigofera zollingeriana) as a heterogeneous catalyst sourced from biomass as an environmentally friendly solution in producing biodiesel from refined bleached deodorized palm olein (RBDPO). …”
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Development of neutron diffusion and transport algorithms based on finite volume method by LI Wei, LIU Xiaojing, CHAI Xiang, ZHAO Pengcheng

“…The integrated verification of neutron diffusion and transport programs underscores the reliability and flexibility of the FVM in accurately solving complex neutron transport and diffusion scenarios, providing a pathway for enhancing precision and computational efficiency in nuclear engineering simulations under a unified programming framework.…”
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A deep learning-based reconstruction model for 3D sound speed field combining underwater vertical information by Hongchen Li, Yuhang Liu, Ming Li, Penghao Wang, Yuhang Zhu, Kefeng Mao, Xi Chen

“…The usual used single empirical orthogonal function (sEOF) method, which reconstructs sound speed profiles (SSP) by establishing statistical relationships between empirical orthogonal coefficients of SSP and sea surface environmental factors, may have several limitations: (1) The principal modes extracted by the EOF method may lose some sound speed information, resulting in low reconstruction accuracy; (2) The grid-by-grid inversion of SSP is computationally inefficient for acquiring large-scale 3D sound speed fields; (3) Oceanic dynamic activities cause disturbances in the sound speed field, and relying solely on sea surface environmental information can limit the accuracy of full-ocean-depth sound speed inversion.MethodIn this paper, we propose a region-oriented reconstruction model named 3dCNN-DEN for 3D sound speed fields using the Convolutional Neural Network (CNN). The model utilizes multi-source satellite remote sensing data and CMEMS temperature-salinity reanalysis data, simultaneously incorporating sea surface environmental factors (SST, SLA, and EKE) and underwater information (average density) as inputs. …”
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Characteristics and Causes of Extreme Heavy Rainfall in Heilongjiang Province During August 2023 by Qi Duo, Wang Chengwei, Bai Xuemei, Gong Yanduo, Sun Qi, Luan Chen, Tang Kai, Zhao Yujie

“…Due to the strong southwest jet, there is abundant moisture transfer, primarily through the advection of water vapor, which is the primary source for heavy rainfall. The process can be divided into two stages due to significant differences of rainfall, atmospheric stratification, and local circulation characteristics. …”
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