Multi-Targeted Textual Backdoor Attack: Model-Specific Misrecognition via Trigger Position and Word Choice by Taehwa Lee, Soojin Lee, Hyun Kwon

“…These attacks involve training a target model with samples that include specific triggers, causing the model to misclassify these triggered samples while still correctly classifying regular samples. …”
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Living restricted lives - Understanding the impact of isolation, social distancing and other restriction measures on older care home residents and their relatives in England during... by Sarah Sims, Amit Desai, Ruth Harris, Anne Marie Rafferty, Shereen Hussein, Richard Adams, Lindsay Rees, Sally Brearley, Joanne M Fitzpatrick

“…From six purposively sampled care homes in England, 17 purposively sampled residents (all older adults) and 17 purposively sampled relatives participated in an individual, on-line interview, where they discussed their experiences of the restrictive measures implemented within their care home. …”
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Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation by Janet Treasure, Katie Rowlands, Valentina Cardi, Suman Ambwani, David McDaid, Jodie Lord, Danielle Clark Bryan, Pamela Macdonald, Eva Bonin, Ulrike Schmidt, Jon Arcelus, Amy Harrison, Sabine Landau

“…Methods Design We undertook a pragmatic, multicentre, parallel-arm, randomised trial with both clinical and health economic evaluation. …”
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The study of the pharmacological activity of thick extract from the leaves of Corylus avellana on the model of peripheral vascular thrombophlebitis in rabbit ear by L. M. Maloshtan, A. S. Kalenichenko

“…According to expression of the protective effect, the extract statistically significantly prevailed over comparison drug eskuvit throughout all experiment. The study of histological samples showed that the extract contributed to thrombolysis, prevented the destruction of the vascular wall, degenerative changes and reduced inflammation in the surrounding tissues and showed more demonstrative impact compared to the reference drug. …”
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Risk Factors for Stable and Intimate Interpersonal Relationships: A Qualitative-quantitative Methodology by Behrooz Faridmarandi, Saeid Komasi

“…., detachment manifestations) using a quantitative methodology. Materials and Methods: Thematic and content analysis methods were used to identify the experiences and perspectives of seven nonclinical and four clinical adults through semi-structured interviews (study I). …”
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Enhanced surveillance for tick-borne rickettsiosis and ehrlichiosis in North Carolina: Protocol and preliminary results. by Lauryn Ursery, Odai Mansour, Haley Abernathy, Emily Wichmann, Allie Yackley, Alexis Siegler, Dana Giandomenico, Carl Williams, Alexis Barbarin, Michael H Reiskind, Ross M Boyce

“…Due to the non-specific nature of clinical symptoms, minimal utilization of molecular methods when appropriate, and limitations of sero-diagnostic methods, accurate case identification and subsequent public health reporting is challenging. …”
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DualPose: Dual-Block Transformer Decoder with Contrastive Denoising for Multi-Person Pose Estimation by Matteo Fincato, Roberto Vezzani

“…DualPose achieves state-of-the-art results outperforming recent end-to-end methods, as shown by extensive experiments on the MS COCO and CrowdPose datasets. …”
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Association between learning engagement and learning satisfaction among first-year business students in higher education: the moderating effect of gender by Edmond Kwesi Agormedah

“…The moderation analysis was performed using Hayes PROCESS Macro with 10,000 bootstrap samples. The study discovered that FYBES were highly satisfied with their academic experiences and experienced a high level of LE. …”
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PERCEPTIONS, CONSUMPTION PATTERNS, AND PURCHASING BEHAVIOURS OF VEGAN PRODUCTS IN SLOVAKIA: A COMPARATIVE STUDY OF FLEXITARIANS, OMNIVORES, VEGANS, AND VEGETARIANS by Peter ŠEDÍK, Ingrida KOŠIČIAROVÁ, Zdenka KÁDEKOVÁ, Cristina Bianca POCOL

“…Statistical analysis was performed using IBM SPSS Statistics Grad Pack 28.0 and XL Stat version 4.1, employing non-parametric tests like the Kruskal-Wallis test with Dunn-Bonferroni post hoc method, the Friedman test with Nemenyi's multiple pairwise comparisons, and Categorical Principal Components Analysis (CATPCA). …”
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Inflation expectations and perceptions: Experimental evaluations and opportunities for central banks’ communication policy by Irina A. Beloglazova, Aleksey A. Korikov, Konstantin P. Yurchenko

“…Methodologically, the paper relies on the postulates of behavioural and experimental economics. The method is a randomized experiment, which presupposes a comparative assessment of the results obtained in experimental and control groups. …”
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Extreme Gradient Boosting Regressor Solution for Defy in Drilling of Materials by Sangeetha Elango, Elango Natarajan, Kaviarasan Varadaraju, Ezra Morris Abraham Gnanamuthu, R. Durairaj, Karthikeyan Mohanraj, M. A. Osman

“…If not, rejection of drilled samples will be higher and consequently production loss will be higher. …”
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Analysis and Optimization of Micro Speaker-Box Using a Passive Radiator in Portable Device by Yuan-Wu JIANG, Joong-Hak KWON, Hyung-Kyu KIM, Sang-Moon HWANG

“…Based on the optimized parameters, a new sample was manufactured. The experiment results show that the SPL of the optimized speaker box with a passive radiator is improved by 5 dB at 200 Hz compared with the one without a radiator. …”
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The Effects of Storage on Sachet Water Quality in Ogun State, Nigeria by ZO Ajekunle, VO Ojekunle, AO Eruola, FF Oyebanji, KA Olatunde, BT Amujo, OR Sangowusi, AA Adekttan, AG Taiwo

“…Physical parameters were determined by instrumental methods. Cationic and anionic constituents were determined by standard titrimetric and spectrophotometric methods, trace and heavy water were determined by Atomic Adsorption Spectrophotometer. …”
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Hazardous Gas Emission Monitoring Based on High-Resolution Images by Wenjian Chen, Yi Wang, Xuan Li, Wei Gao, Shiwei Ma, Yuanyuan Duan, Xiaopeng Shao

“…To deal with this problem, a superresolution reconstruction method was proposed in this study for high-resolution monitoring images. …”
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Accelerating Young People's Disaster Literacy With Problem-Based Learning-Root Cause Analysis by Ramdan Afrian, Sugeng Utaya, I Komang Astina, Syamsul Bachri

“…Steps such as independent review, investigating the root of the problem, and implementing action plans that can make PBLRCA students read, explore and analyze situations in depth more than Lecturing Method. These activities make students' disaster literacy improve.…”
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Machine learning-based optimization of photogrammetric JRC accuracy by Qinzheng Yang, Ang Li, Yipeng Liu, Hongtian Wang, Zhendong Leng, Fei Deng

“…Combining SPSA, portable positioning plate, and moving camera capture strategy, a photogrammetric experiment for small-scale rock samples in the field was conducted, collecting 48 datasets with different shooting parameters. …”
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Enhanced YOLOv7-Tiny for Small-Scale Fire Detection via Multi-Scale Channel Spatial Attention and Dynamic Upsampling by Shihao Wu, Yi Xia

“…Extensive experiments on a self-collected dataset demonstrate that our method achieves a performance improvement of 3.49% in mAP@0.5 and 6.62% in APs over the baseline YOLOv7-tiny model. …”
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Experimental Study of Process Parameter Effects on Internal Defects in Titanium Coaxial Wire-Based Laser Metal Deposition by Remy Mathenia, Braden McLain, Todd Sparks, Frank Liou

“…The volume of the detected defects was measured and compared to the total sample volume to calculate a defect rate for each run of the experiment. …”
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Analysis of C-reactive protein levels in uterine fluid of dairy cows by Grigory M. Firsov

“…The level of C-reactive protein in the fluids obtained after uterine lavage and in plasma samples was determined using enzyme-linked immunosorbent assay (ELISA) on a series of samples and a diagnostic kit for this biomarker. …”
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Hybrid Deep Learning Model for Cataract Diagnosis Assistance by Zonghong Feng, Kai Xu, Liangchang Li, Yong Wang

“…The network is based on the idea of transfer learning for feature extraction of fundus images, and introduces the Squeeze-and-Excitation (SE) module and prototype network for feature enhancement and classification, improving the model’s generalization ability for new disease samples. Finally, this paper verifies the role of each part of the model through ablation experiments, especially the significant contribution of the SE_block module and the prototype network classifier in enhancing the model’s performance. …”
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