In Vitro Cytotoxicity Study of Pt Nanoparticles Decorated TiO2 Nanotube Array by Shaymaa Rajab Baqer, Abdulkareem Alsammarraie, Mahasin Alias, Mohammad Al-Halbosiy, Amaal Sadiq

“…The MCF-7 cancer cell lines and WRL68 normal cell lines were treated with concentration 800, 400,200,100, 50, 25, 12.5µg\ml of TiO2NTs and Pt\TiO2NTs(1) and (2) for 48hours using MTT assay.IC50 and inhibition rate were calculated. The result shows that the Pt\TiO2NTs have more inhibition effect on cancer cell lines than TiO2NTs array.…”
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IgG4-Related Disease in a Urachal Tumor by Travis W. Dum, Da Zhang, Eugene K. Lee

“…The patient underwent a partial cystectomy and umbilectomy with pathology demonstrating dense plasmacytic cells, a high rate of immunohistochemistry staining positive for IgG4 plasma cells, a storiform pattern of fibrosis, and an obliterative phlebitis. …”
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Massive Upper Gastrointestinal Bleeding Caused by Diffuse Large B-Cell Lymphoma by O. Telci Caklili, H. H. Mutlu, Y. Colak, E. Ozturk, D. Kosemetin Dover, I. Tuncer

“…In physical examination patient was pale and sweaty; his vitals were unstable with a heart rate of 110 per minute and a blood pressure of 90/50 mmHg. …”
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Numerical Study Of The Shape And Dimensions Of The Blocks In The Energy Dissipation Of Stilling Basin by elham jafari, Hassan Ahmadi

“…In addition to evaluating the accuracy of the model in simulating the flow pattern in the relaxation ponds, the numerical study of the effect of the shape and dimensions of the threshold blocks on the energy dissipation rate And the hydraulic jump of the pond was relaxed. …”
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Intracranial Dural Arteriovenous Fistulas: A Systematic Approach—Diagnosis, Classification, and Endovascular Treatment by Skander Sammoud, Nadia Hammami

“…A personalized case-by-case approach accomplishes a high complete treatment grade with a low complication rate. This review highlights the epidemiology, pathogenesis, clinical presentation, classification, diagnosis, and endovascular treatment of patients with intracranial DAVFs.…”
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Comparative virulence analysis of seven diverse strains of Orientia tsutsugamushi reveals a multifaceted and complex interplay of virulence factors responsible for disease. by Panjaporn Chaichana, Naphat Satapoomin, Chitrasak Kullapanich, Suthida Chuenklin, Aisha Mohammad, Manutsanun Inthawong, Erin E Ball, Thomas P Burke, Piyanate Sunyakumthorn, Jeanne Salje

“…We found that there was no single gene or gene group that correlated with virulence, and no clear pattern of in vitro growth rate that predicted disease. …”
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Dynamics of seasonal rabies incidence in animals in Azerbaijan by Ch. V. Aliyeva, Sh. K. Zeynalova

“…To assess the epizootological and epidemiological risks of rabies in the country, the disease frequency rate among various animal species was studied by year. …”
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Task switching with probabilistic reward schemes by Markus Janczyk, Ludwig Danwitz, Kerstin Fröber, Bettina von Helversen

“…Specifically, an increase in reward prospect appears to enhance flexibility, as indicated by a higher voluntary switch rate (VSR), compared to situations where the reward prospect remains high. …”
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Parathyroid Involvement by Thyroid Carcinoma: Results from a Single Institution and a Review of the Literature by Ran Hong

“…All patients exhibited PTG Pattern A (direct invasion). <i>Conclusions:</i> Based on our findings and literature data, PTG involvement by TC has an incidence rate of 0.05–3.9%, predominantly affects women in their sixth to seventh decade of life, and appears to have no impact on prognosis unless accompanied by extensive extrathyroidal invasion. …”
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CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

“…The high fluctuation and volatility of cryptocurrency prices and the complexity of non-linear relationships in data patterns attract investors and researchers who want to develop accurate cryptocurrency price forecasting models. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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Assessment of the experimental infection by Echinostoma paraensei (Lie & Basch, 1967) (Trematoda: Echinostomatidae) in two Biomphalaria tenagophila (D’Orbigny, 1835) (Gastropoda: P... by Michele Maria Santos, Juberlan Silva Garcia, Raquel de Oliveira Simões, Samaly dos Santos Souza, Paulo Marcos Zech Coelho, Zilton de Araújo Andrade, Arnaldo Maldonado Júnior

“…A correlation between the number of miracidia and the infectivity rate of B. tenagophila (TAIM) was observed. There was no correlation between the number of miracidia used and the number of cercariae released for both B. tenagophila isolates. …”
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Global psychiatrists' opinions about hikikomori from biopsychosocial perspectives: International case vignette survey by Marcus P. J. Tan, Kohei Hayakawa, Yukako Nakagami, Victor Pereira‐Sanchez, Seon Cheol Park, Yong Chon Park, Seok Woo Moon, Tae Young Choi, Yu‐Tao Xiang, Kang Sim, Toru Horinouchi, Ajit Avasthi, Sandeep Grover, Roy Abraham Kallivayalil, Yugesh Rai, Mohammadreza Shalbafan, Pavita Chongsuksiri, Pichet Udomratn, Samudra T. Kathriarachchi, Afzal Javed, Mian‐Yoon Chong, Tan Chay‐Hoon, Toshiya Inada, Toshiya Murai, Tomohiro Nakao, Shigenobu Kanba, Shih‐Ku Lin, Norman Sartorius, Naotaka Shinfuku, Takahiro A. Kato

“…Most respondents felt the case could be treated by an outpatient visit, while others preferred hospitalization. Psychotherapy was rated highly as an intervention; Iran, South Korea, and “others” also rated pharmacotherapy highly. …”
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MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

“…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

“…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

“…MSCF first employs dynamic convolution-based downsampling to enhance the multiscale feature representation. Adaptive gating and multiscale convolutions are then utilized to capture complex acoustic patterns. …”
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Revealing the effect of layer-varying deposition strategy on laser-directed energy deposition bionic gradient NiTi alloy by Zhongxiong Kang, Chaorui Jiang, Mengqi Liu, Zhihui Zhang, Jie Zhao

“…The strategy includes different process parameters (the laser power and scanning speed), the scanning paths (alternative optimised spiral pattern, x-axis rotation pattern, and arc alternative pattern) and interlayer interval time. …”
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Multi-Objective Optimization of Off-Grid E-Bikes Charging Stations Powered by PhotoVoltaics by Fabio Corti, Gabriele Maria Lozito, Davide Astolfi, Salvatore Dello Iacono, Antony Vasile, Marco Pasetti, Alberto Reatti, Alessandra Flammini

“…A Genetic Algorithm is employed to determine the most appropriate rated power of the installed PhotoVoltaic (PV) systems and of the energy storage, by incorporating statistical methods to estimate the daily number of e-bikes requiring charging, hence making the optimization process more reflective of actual usage patterns. …”
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Evolution Characteristics of Urban Heat Island Circulation for Loess Tableland Valley Towns by Zhuolei Yu, Yi Wang, Jukun Wang, Xiaoxue Wang, Songheng Wu

“…In order to further reveal the characteristics of city-scale closed circulation, the sensitivities of different factors influencing the start time, outflow time, mixing height and heat island intensity are analyzed, and the most significant factors influencing these four parameters are urban heat flux, slope height, slope height, and potential temperature lapse rate, respectively. Finally, the dimensionless mixing height and heat island intensity for the valley town increase by 56.80% and 128.68%, respectively, compared to those for the flat city. …”
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A Self‐Organizing Map Spiking Neural Network Based on Tin Oxide Memristive Synapses and Neurons by Yu Wang, Yanzhong Zhang, Yanji Wang, Xinpeng Wang, Hao Zhang, Rongqing Xu, Yi Tong

“…Applying this architecture to an unsupervised learning self‐organizing map memristor SNN achieved an impressive 94% recognition rate on the MNIST dataset. This study elucidates the potential for seamlessly integrating memristors into neuromorphic systems.…”
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