Self-Rated Attentiveness Interacts with Transcranial Direct Current Stimulation and Noise Stimulation in Reaction Time in a Go/No-Go Task by Sverker Sikström, Anna-Maria Jürgensen, Maryam Haghighi, Daniel Månsson, David Smidelik, Thomas Habekost

“…Here we investigate whether people with low attentiveness benefit to a larger extent than attentive people from stimulation by auditory white noise and transcranial direct current stimulation (tDCS). …”
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Price response to consumer attention during major animal epidemics in developing markets: perspectives from the influence of information and emotion contagion by Xia Li, Xia Li, Jing Ji

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Fast and Accurate Hand Visual Detection by Using a Spatial-Channel Attention SSD for Hand-Based Space Robot Teleoperation by Qing Gao, Xin Zhang, Wenrao Pang

“…And spatial attention and channel-wise attention are also used to extract more efficient features. …”
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FERA-Net: A Novel Algorithm for Mars Water-Ice Cloud Segmentation Integrating Feature Enhancement, Residual, and Attention Mechanisms by Xu Ma, Jialong Lai, Zhicheng Zhong, Feifei Cui

Subjects: “…Attention mechanism…”
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DPD-YOLO: dense pineapple fruit target detection algorithm in complex environments based on YOLOv8 combined with attention mechanism by Cong Lin, Wencheng Jiang, Weiye Zhao, Lilan Zou, Zhong Xue

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Le genre à l’école maternelle : les représentations, jugements et attentes des enseignantes de grande section by Annette Jarlégan, Youssef Tazouti

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Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder by Yilu Zhao, Zhao Fu, Eric J. Barnett, Ning Wang, Kangfuxi Zhang, Xuping Gao, Xiangyu Zheng, Junbin Tian, Hui Zhang, XueTong Ding, Shaoxian Li, Shuyu Li, Qingjiu Cao, Suhua Chang, Yufeng Wang, Stephen V. Faraone, Li Yang

“…Abstract Although the efficacy of pharmacy in the treatment of attention deficit/hyperactivity disorder (ADHD) has been well established, the lack of predictors of treatment response poses great challenges for personalized treatment. …”
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BANNMDA: a computational model for predicting potential microbe–drug associations based on bilinear attention networks and nuclear norm minimization by Mingmin Liang, Xianzhi Liu, Juncai Li, Qijia Chen, Bin Zeng, Zhong Wang, Jing Li, Lei Wang

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Early selective attention to the articulating mouth as a potential female-specific marker of better language development in autism: a review by Itziar Lozano, Charlotte Viktorsson, Elena Capelli, Teodora Gliga, Valentina Riva, Przemysław Tomalski

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Paying attention to the SARS-CoV-2 dialect : a deep neural network approach to predicting novel protein mutations by Magdalyn E. Elkin, Xingquan Zhu

“…Because mutations introduce changing context to the underlying sequence, DNMS models three aspects of the protein sequences: semantic changes, grammatical changes, and attention changes, each modeling protein sequence aspects from shifting of semantics, grammar coherence, and amino-acid interactions in latent space. …”
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Enhanced Intrusion Detection in Drone Networks: A Cross-Layer Convolutional Attention Approach for Drone-to-Drone and Drone-to-Base Station Communications by Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi

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Association between some environmental risk factors and attention-deficit hyperactivity disorder among children in Egypt: a case-control study by Riham Abdelhamid Hussein, Rania Hussein Refai, Aleya Hanafy El-zoka, Hanan Galal Azouz, Mohamed Fakhry Hussein

Subjects: “…Attention-deficit hyperactivity disorder…”
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SAlexNet: Superimposed AlexNet using residual attention mechanism for accurate and efficient automatic primary brain tumor detection and classification by Qurat-ul-ain Chaudhary, Shahzad Ahmad Qureshi, Touseef Sadiq, Anila Usman, Ambreen Khawar, Syed Taimoor Hussain Shah, Aziz ul Rehman

“…In this work, we propose Superimposed AlexNet (SAlexNet-1 and its extension SAlexNet-2) to detect the malignancy of primary brain tumors (Glioma, Meningioma, and Pituitary) by incorporating three enhancements: (1) fusing Hybrid Attention Mechanism (HAM), (2) dense feature extraction by replacing initial convolution 11 × 11 layer with multiple convolution 3 × 3 layers for extra non-linearity alleviating parameter burden, and (3) pretraining the encoder path on a correlated dataset via semi-transfer learning (STL) enhancing model performance. …”
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Multi-Layer Perceptron Model Integrating Multi-Head Attention and Gating Mechanism for Global Navigation Satellite System Positioning Error Estimation by Xiuxun Liu, Zuping Tang, Jiaolong Wei

“…A GNSS positioning error estimation scheme based on an improved multi-layer perceptron model is proposed. The multi-head attention mechanism and gating operation are integrated into the multi-layer perceptron model to adaptively select and filter features, enhancing the model’s ability to understand input features. …”
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Atención a la diversidad y discursos sobre lecturas en Educación Superior / Attention to diversity and discourses on readings in Higher Education by Aurora Martínez Ezquerro

“…Based on the need for this training, this study analyzes the knowledge that teachers in training (Master in Teaching, Spanish Language and Literature) have about attention to diversity through readings. Two previous objectives are proposed: the first investigates the memories of Secondary Education school experiences on de subject -quiz without prior knowledge-; the second -after a short training period- offers current readings and didactic proposals. …”
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Hubungan Pemakaian Fenobarbital Rutin dan Tidak Rutin Pada Anak Kejang Demam dengan Attention Deficit Hyperactivity Disorder (ADHD) by Sara Fadila, Nadjmir ., Rahmatini .

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The prevalence of attention-deficit hyperactivity disorder and its associated factors among children in Ethiopia, 2024: a systematic review and meta-analysis by Molla Azmeraw, Dessie Temesgen, Amare Kassaw, Alemu Birara Zemariam, Gashaw Kerebeh, Gebremeskel Kibret Abebe, Addis Wondmagegn Alamaw, Biruk Beletew Abate

“…IntroductionAttention-deficit hyperactivity disorder (ADHD) is a neuropsychiatric condition that affects children. …”
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Treatment Preferences of Physicians Treating Adult Patients with Attention-Deficit/Hyperactivity Disorder in the United States and Canada: A Discrete Choice Experiment by Jeff Schein, Martin Cloutier, Marjolaine Gauthier-Loiselle, Maryaline Catillon, Yan Meng, Beatrice Libchaber, Fanny Jiang, Ann Childress

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Components of cognitive–behavioural therapy for mitigating core symptoms in attention-deficit hyperactivity disorder: a systematic review and network meta-analysis by Sayo Hamatani, Kazuki Matsumoto, Yoshihiko Kunisato, Yoshifumi Mizuno

“…Question Cognitive–behavioural therapy (CBT) is frequently implemented for individuals with attention-deficit hyperactivity disorder (ADHD). It is still unknown which specific components are effective, because CBT is a complex intervention with several components. …”
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DeepGenMon: A Novel Framework for Monkeypox Classification Integrating Lightweight Attention-Based Deep Learning and a Genetic Algorithm by Abdulqader M. Almars

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