The Application of Interactive Effect Evaluation Model in the Teaching of College Mathematics Courses by Jungang Chen

“…The traditional mathematics teaching only reflects a function of knowledge inheritance, but lacks the function of knowledge innovation. …”
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Structure and distribution of gynaecological diseases for girls and teenage girls in the Zaporizhzhia area by N. V. Avramenko, O. V. Kabachenko, T. O. Tsaruk

“…In recent years the question of gynecological diseases in women and teenage girls becomes more and more relevance. Girls of pubertal age should become mothers of new generation, but the health of adolescents continues to deteriorate. …”
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Deepfake detection method based on patch-wise lighting inconsistency by Wenxuan WU, Wenbo ZHOU, Weiming ZHANG, Nenghai YU

“…The rapid development and widespread dissemination of deepfake techniques has caused increased concern.The malicious application of deepfake techniques also poses a potential threat to the society.Therefore, how to detect deepfake content has become a popular research topic.Most of the previous deepfake detection algorithms focused on capturing subtle forgery traces at pixel level and have achieved some results.However, most of the deepfake algorithms ignore the lighting information before and after generation, resulting in some lighting inconsistency between the original face and the forged face, which provided the possibility of using lighting inconsistency to detect deepfake.A corresponding algorithm was designed from two perspectives: introducing lighting inconsistency information and designing a network structure module for a specific task.For the introduction of lighting task, a new network structure was derived by designing the corresponding channel fusion method to provide more lighting inconsistency information to the network feature extraction layer.In order to ensure the portability of the network structure, the process of feature channel fusion was placed before the network extraction information, so that the proposed method can be fully planted to common deepfake detection networks.For the design of the network structure, a deepfake detection method was proposed for lighting inconsistency based on patch-similarity from two perspectives: network structure and loss function design.For the network structure, based on the characteristic of inconsistency between the forged image tampering region and the background region, the extracted features were chunked in the network feature layer and the feature layer similarity matrix was obtained by comparing the patch-wise cosine similarity to make the network focus more on the lighting inconsistency.On this basis, based on the feature layer similarity matching scheme, an independent ground truth and loss function was designed for this task in a targeted manner by comparing the input image with the untampered image of this image for patch-wise authenticity.It is demonstrated experimentally that the accuracy of the proposed method is significantly improved for deepfake detection compared with the baseline method.…”
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Hashtags as pragmatic devices of cultural reproduction in digital discourse by Galina E. Snezhko

“…Although hashtags are becoming more and more popular among academics as online communication tools, little is known about how they contribute to the practical reproduction of cultural norms. …”
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Bioinformatic Methodologies in Assessing Gut Microbiota by James Douglas Fox, Austin Sims, Morgan Ross, Jeffery Bettag, Alexandra Wilder, Dylan Natrop, Alison Borsotti, Sree Kolli, Shaurya Mehta, Hema Verma, Kento Kurashima, Chandrashekhara Manithody, Arun Verma, Ajay Jain

“…These methodologies involve high-throughput sequencing technologies, such as 16S rRNA gene sequencing and metagenomics, which generate vast amounts of data on microbial diversity and functional potential, as well as whole-genome sequencing, which, while being more costly, has a more expansive potential. …”
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Microtubule flexibility, microtubule-based nucleation and ROP pattern co-alignment enhance protoxylem microtubule patterning by Bas Jacobs, Marco Saltini, Jaap Molenaar, Laura Filion, Eva E. Deinum

“…The development of the water transporting xylem tissue in plants involves an intricate interplay of Rho-of-Plants (ROP) proteins and cortical microtubules to generate highly functional secondary cell wall patterns, such as the ringed or spiral patterns in early-developing protoxylem. …”
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An Analytical Method for Fast Optimization of Multireservoir Hydropower Systems Operations Considering Risk‐Return Tradeoffs by S. Jamshid Mousavi, Kumaraswamy Ponnambalam

“…Abstract Long‐term multireservoir operations optimization is challenging for existing optimization methods such as stochastic dynamic programming (SDP) and implicit stochastic programming (ISP) suffering from excessive computing time requirements. More difficult is to tackle a risk‐based optimization problem and provide an efficient frontier of the objective function for multireservoir systems. …”
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Optimized multi‐biometric enhancement analysis by Saliha Artabaz, Layth Sliman, Karima Benatchba, Mouloud Koudil

“…To do so, the study applies different functions that are generated using genetic programming (GP) on the 2000 multi‐biometric instances produced by the fusion of different biometric matching scores. …”
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Entanglement-Based Artificial Topology: Neighboring Remote Network Nodes by Si-Yi Chen, Jessica Illiano, Angela Sara Cacciapuoti, Marcello Caleffi

“…Thus, the possibility of implementing unparalleled network functionalities by exploiting entanglement is gaining huge attention. …”
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A Multi-Strategy Visual SLAM System for Motion Blur Handling in Indoor Dynamic Environments by Shuo Huai, Long Cao, Yang Zhou, Zhiyang Guo, Jingyao Gai

“…Typical SLAM systems adhere to the assumption of environment rigidity, which limits their functionality when deployed in the dynamic indoor environments commonly encountered by household robots. …”
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FES-Assisted Walking with Spring Brake Orthosis: Simulation Studies by R. Jailani, M. O. Tokhi, S. C. Gharooni, B. S. K. K. Ibrahim

“…This paper presents a simulation of bipedal locomotion to generate stimulation pulses for activating muscles for paraplegic walking with wheel walker using functional electrical stimulation (FES) with spring brake orthosis (SBO). …”
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An innovative tool for the evaluation of energy efficiency of merchant ships by Valentina Bortuzzo, Serena Bertagna, Luca Braidotti, Vittorio Bucci

“…The application of the tool to a case study of a tanker ship, designed to validate its functionality, demonstrates that the tool can effectively generate extensive data, which can be used to identify correlations between specific ship factors and GHG emissions. …”
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DEVELOPMENT OF DRY-SCALE CLEANER CUM GRADER FOR STORED ONION BULBS (ALLIUM CEPA L.) by Jamel SALO, Emmanuel SICAT

“…This study sought to develop a dry-scale cleaner cum grader for stored onion bulbs to simplify operations, reduce labor costs, minimize operation losses, and generate more income for the onion farmers. The design of the machine parts was computed based on the onions' average physical (shape, size, surface area, density, colour, and weight) and mechanical (hardness, compressive strength, impact, and shear resistance) properties. …”
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OCT4B2, a novel alternative spliced variant of OCT4, is significantly upregulated under heat-stress condition and downregulated in differentiated cells by Ensieh M Poursani, Majid Mehravar, Bahram Mohammad Soltani, Seyed Javad Mowla

“…In conclusion, we are reporting a new variant of OCT4 , which is expressed under different physiological conditions. The finding shed more light on complexity of OCT4 expression and functions.…”
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P24 | DEVELOPMENT OF HEAD AND NECK SQUAMOUS CELL CARCINOMA PATIENT-DERIVED XENOGRAFTS (PDXS) AND ORGANOIDS (PDXOS) FOR MORPHOLOGICAL ANALYSIS AND DRUG SCREENING

“…Moreover, some of the tumours were processed to generate PDX Organoids (PDXOs) for further in vitro experiments. …”
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Protein Lactylation: A new jewel in the crown by Ruby Dhar, Arun Kumar, Subhradip Karmakar

“…Lactylation is a newly identified post-translational modification that has emerged as a crucial epigenetic regulator, significantly influencing cellular functions and disease processes. Lactylation involves the addition of lactate, a glycolysis byproduct, to lysine residues in proteins, particularly histones. …”
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Automotive DNN-Based Object Detection in the Presence of Lens Obstruction and Video Compression by Gabriele Baris, Boda Li, Pak Hung Chan, Carlo Alberto Avizzano, Valentina Donzella

“…Recent advances in sensing, processing, machine learning, and communication technologies are accelerating assisted and automated functions development for commercial vehicles. Environmental perception sensor data streams are processed to generate a correct and complete situational awareness. …”
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BGATT-GR: accurate identification of glucocorticoid receptor antagonists based on data augmentation combined with BiGRU-attention by Watshara Shoombuatong, Pakpoom Mookdarsanit, Nalini Schaduangrat, Lawankorn Mookdarsanit

“…Therefore, this study proposes an innovative deep learning-based hybrid framework (termed BGATT-GR) that leverages a data augmentation method, a bidirectional gated recurrent unit (BiGRU), and a self-attention mechanism (ATT) to attain more accurate identification of GR antagonists. In BGATT-GR, we first employed AP2D, CDKExt, KR, Morgan, and RDKIT to extract molecular descriptors of GR antagonists and combined these molecular descriptors to generate multi-view features. …”
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Prediction of mutational tolerance in HIV-1 protease and reverse transcriptase using flexible backbone protein design. by Elisabeth Humphris-Narayanan, Eyal Akiva, Rocco Varela, Shane Ó Conchúir, Tanja Kortemme

“…We find the model correctly captures a considerable fraction of protease and reverse-transcriptase mutational tolerance and shows comparable accuracy using either experimentally determined or computationally generated structural ensembles. Predictions of tolerated sequence space afforded by the model provide insights into stability-function tradeoffs in the emergence of resistance mutations and into strengths and limitations of the computational model.…”
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Sine Half-Logistic Inverse Rayleigh Distribution: Properties, Estimation, and Applications in Biomedical Data by M. Shrahili, I. Elbatal, Mohammed Elgarhy

“…The statistical properties of the half-logistic inverse Rayleigh model are calculated, including the quantile function, moments, moment generating function, incomplete moment, and Lorenz and Bonferroni curves. …”
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