Caffeine-Induced Suppression of GABAergic Inhibition and Calcium-Independent Metaplasticity by Masako Isokawa

“…A brief local puff-application of caffeine to hippocampal CA1 pyramidal cells transiently suppressed GABAergic inhibitory postsynaptic currents (IPSCs) by 73.2 ± 6.98%. Time course of suppression and the subsequent recovery of IPSCs resembled DSI (depolarization-induced suppression of inhibition), mediated by endogenous cannabinoids that require a [Ca2+]i rise. …”
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User Revocation-Enabled Access Control Model Using Identity-Based Signature in the Cloud Computing Environment by Tarun Kumar, Prabhat Kumar, Suyel Namasudra

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Optimally stable fifth-order integration methods: a numerical approach by D. J. Rodabaugh, S. Thompson

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Effect of Metal Dopant on Ninhydrin—Organic Nonlinear Optical Single Crystals by R. S. Sreenivasan, N. Kanagathara, G. Ezhamani, N. G. Renganathan, G. Anbalagan

“…Single crystal X-ray diffraction analysis reveals that the compound crystallizes in monoclinic system with noncentrosymmetric space group P21 with lattice parameters a=11.28 Å, b=5.98 Å, c=5.71 Å, α=90∘, β=98.57, γ=90∘, and V=381 (Å)3, which agrees very well with the reported value. …”
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The role of knowledge management in developing intellectual capital Case study of the University of Tamanrasset by Med Mounir kacemi

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ETNOZOOLOGI: STUDI KEARIFAN LOKAL MASYARAKAT ADAT KAMPUNG NAGA TASIKMALAYA by Yustika Ayu Sekartaji, Diana Hernawati, Vita Meylani

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Raise of short-stemmed vaviloid branched spike lines and their cytogenetics by A. J. Aliyeva, S. P. Mehdiyeva, R. K. Kerimova

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Wear - Sediment Quantity Correlation Model for Preventive Maintenance Scheduling of a Hydroelectric Power Plant by Kleber Zhañay, Cristian Leiva, Erika Pilataxi, William Quitiaquez

“…The result of the correlation statistical model determined the preventive maintenance for improvement conditions of 98 % of the availability in the hydroelectric power plant and is reflected in the reduction of days of no electricity generation. …”
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Noise-attention-based forgery face detection method by Bolin ZHANG, Chuntao ZHU, Qilin YIN, Jingqiao FU, Lingyi LIU, Jiarui LIU, Hongmei LIU, Wei LU

“…With the advancement of artificial intelligence and deep neural networks, the ease of image generation and editing has increased significantly.Consequently, the occurrence of malicious tampering and forgery using image generation tools is on the rise, posing a significant threat to multimedia security and social stability.Therefore, it is crucial to research detection methods for forged faces.Face tampering and forgery can occur through various means and tools, leaving different levels of forgery traces during the tampering process.These traces can be partly reflected in the image noise.From the perspective of image noise, the noise components reflecting tampering traces of forged faces were extracted through a noise removal module.Furthermore, noise attention was generated to guide the backbone network in the detection of forged faces.The training of the noise removal module was supervised using SRM filters.In order to strengthen the guidance of the noise removal module, the noise obtained by the noise removal module was added back to the real face image, forming a pair of supervised training samples in a self-supervised manner.The experimental results illustrate that the noise features obtained by the noise removal module have a good degree of discrimination.Experiments were also conducted on several public datasets, and the proposed method achieves an accuracy of 98.32% on the Celeb-DF dataset, 92.61% on the DFDC dataset, and more than 94% on the FaceForensics++ dataset, thus proving the effectiveness of the proposed method.…”
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Towards automated recipe genre classification using semi-supervised learning. by Nazmus Sakib, G M Shahariar, Md Mohsinul Kabir, Md Kamrul Hasan, Hasan Mahmud

“…The proposed pipeline named 3A2M+ extends the size of the Named Entity Recognition (NER) list to address missing named entities like heat, time or process from the recipe directions using two NER extraction tools. 3A2M+ dataset provides a comprehensive solution to the various challenging recipe-related tasks, including classification, named entity recognition, and recipe generation. Furthermore, we have demonstrated traditional machine learning, deep learning and pre-trained language models to classify the recipes into their corresponding genre and achieved an overall accuracy of 98.6%. …”
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Blockchain-Enabled Zero Trust Architecture for Privacy-Preserving Cybersecurity in IoT Environments by Mohammed A. Aleisa

“…The experimental results demonstrate the model’s effectiveness with 98% privacy preservation, 700 TPS throughput, 0.7 J energy consumption, 0.98 quantum resilience, and 96% access control effectiveness, making it highly suitable for modern IoT and blockchain applications.…”
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Simulation of accelerated strip cooling on the hot rolling mill run-out roller table by E.Makarov, T. Koynov

“…Winding temperature calculation error does not exceed 20°C for 98.5 % of strips of low-carbon and low-alloy steels…”
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SIMULATIONAL AND EXPERIMENTAL STUDY ON THE CRITICAL FACTORS OF HIGH-SPEED BRAKING SQUEAL by ZHANG ErYin, WANG ShuWen, SUN YueDong, WEI Jian, CHEN Kang

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L’oléiculture en France : quand le paysage participe au renouveau d’une activité agricole by Stéphane Angles, Étienne Grésillon, Paul Minvielle

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Modal Analysis of the Cycloid Gear Pump based on Pro/E and ANSYS by Zhao Han, Tang Kaicong, Huang Kang, Sun Yingbo, Sha Faming

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A Parameter Optimization Approach for Optimal Control of RSSI Problem in cdma2000 1x Ev-Do Network by Ning Tian

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Identity-based cloud storage integrity checking from lattices by Miaomiao TIAN, Chuang GAO, Jie CHEN

“…With the rapid development of cloud storage,more and more users are storing their data in the cloud.To verify whether the users’ data stored in the cloud is corrupted,one effective method is to adopt cloud storage integrity checking schemes.An identity-based cloud storage integrity checking scheme was proposed on the small integer solution problem over ideal lattices,and it was proven to be secure against the adaptive identity attacks of clouds in the random oracle model.To validate the efficiency of the scheme,extensive experiments were conducted to make performance-comparisons between the scheme and the existing two identity-based cloud storage integrity checking schemes.The experimental results show that the online tag-generation time and the proof-verification time of the scheme are respectively reduced by 88.32%～93.74% and 98.81%～99.73%.…”
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Heat Transfer Analysis for Viscous Fluid Flow with the Newtonian Heating and Effect of Magnetic Force in a Rotating Regime by Rashid Ayub, Shahzad Ahmad, Muhammad Imran Asjad, Mushtaq Ahmad

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Similarity Property and Slide Attack of Block Cipher FESH by Yafei Zheng, Wenling Wu

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Construction of International Cooperation strategies: An inquiry into the learning experience by Cabeza-Pulles, D., Coral-Guerrero, C. A.

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