Examining the Impact of Construction Field Trips on Learning Outcomes: Perspectives from Structural Architecture Courses by Wafa Labib, Amal Abdelsattar

“…An experimental design was implemented to assess the impact of this method on achieving core Course Learning Outcomes (CLOs). …”
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The application of long-term analysis of the zero-crossing of a speech signal in automatic speaker identification by Czesław BASZTURA, Wojciech MAJEWSKI

“…The results obtained, in well exceeding 90 % correct identification for 30- and 40 second samples of the speech signal, have confirmed the practicality of the method of zero-crossing analysis for speaker identification.…”
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Variational autoencoder-based model improves polygenic prediction in blood cell traits by Xiaoqi Li, Elena Kharitonova, Minxing Pang, Jia Wen, Laura Y. Zhou, Laura Raffield, Haibo Zhou, Huaxiu Yao, Can Chen, Yun Li, Quan Sun

“…In summary, VAE-PRS presents a measure to genetic risk prediction for blood cell traits by harnessing the power of deep learning methods given appropriate training sample size, which could further facilitate the development of personalized medicine and genetic research.…”
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Determination of Decabrominated Diphenyl Ether in Soils by Soxhlet Extraction and High Performance Liquid Chromatography by Xing-Jian Yang, Zhi Dang, Fang-Li Zhang, Zhao-Ying Lin, Meng-Yao Zou, Xue-Qin Tao, Gui-Ning Lu

“…The preliminary experiment was conducted on the configured grassland (1 μg/g) to validate the method feasibility. …”
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LONG-TIME INVESTIGATION OF CEMENT PASTES WITH MICRONIZED OLD CONCRETE, INFLUENCE OF DIFFERENT TYPE OF MIXING APPROACH ON MECHANICAL PROPERTIES by Zdeněk Prošek, Pavel Tesárek

“…Dynamics moduli were detected using non-destructive resonance method during the whole experiment and compressive and flexural strength were determined by destructive method for 28 and 129 days old samples. …”
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Semantically-Based Animal Pose Estimation in the Wild by M. N. Favorskaya, D. N. Natalenko

“…Extensive training experiments were conducted using the AwA2 dataset (with a small number of samples from own dataset), the AP-10K dataset, and the Tiger-Pose dataset. …”
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Learning a Mid-Level Representation for Multiview Action Recognition by Cuiwei Liu, Zhaokui Li, Xiangbin Shi, Chong Du

“…Finally, a random forest classifier is employed to predict the action category in terms of the learned representation. Experiments conducted on the multiview IXMAS action dataset illustrate that the proposed method can effectively recognize human actions depicted in multiview videos.…”
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Variational Autoencoder-Based Framework for Retail Sales Prediction by Fuyu Li, Lei Wang, Bo Jin

“…Finally, to mitigate abnormal prediction outcomes, we incorporate prior knowledge to adjust predictions that may be affected by the model’s limited fitting capacity or insufficient training data in certain cases. Extensive experiments conducted in collaboration with a national retail chain in China demonstrate that our method outperforms state-of-the-art baseline methods and is practical for various operational and management tasks.…”
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Viral quasispecies assembly via maximal clique enumeration. by Armin Töpfer, Tobias Marschall, Rowena A Bull, Fabio Luciani, Alexander Schönhuth, Niko Beerenwinkel

“…Owing to its paired-end handling, HaploClique compares favorably to state-of-the-art haplotype inference methods. It can reconstruct error-free full-length haplotypes from low coverage samples and detect large insertions and deletions at low frequencies. …”
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Differential Display Probes for cDNA Arrays by Thomas Trenkle, John Welsh, Michael McClelland

“…PCR with a combination of one arbitrary and one oligo(dT) anchor primer can be used to generate an effective probe for cDNA arrays. The method uses less than 1/200 of the amount of RNA used in some other array hybridization methods. …”
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Academic control strategies used by Iraqi university professors by Tariq Hashem Khamis, Sarab Mahmoud Karim

“…The teacher is considered at all levels the decisive factor in the effectiveness of the teaching and teaching process, it is he who organizes, manages and executes experiences to achieve the set goals and he must bear in mind that his success in his teaching and learning process is not complete to a full extent except by understanding learners' behavior and searching for effective methods and ideal patterns for implementation His plans. …”
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Selective transfer learning with adversarial training for stock movement prediction by Yang Li, Hong-Ning Dai, Zibin Zheng

“…Extensive experiments demonstrate the superiority of our STLAT method. …”
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The global prevalence of antibiotic self-medication among the adult population: systematic review and meta-analysis by Tigist Gashaw, Tesfaye Assebe Yadeta, Fitsum Weldegebreal, Lemma Demissie, Abera Jambo, Nega Assefa

“…Hence, this systematic review and meta-analysis aimed to evaluate the global pooled prevalence of antibiotic self-medication and the reasons for its practice. Method A systematic search of electronic registers and databases was conducted on PubMed, Medline, Embase, Scopus, Web of Science, Google Scholar, and gray literature including institutional repositories, and national health databases. …”
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Scenario-adaptive wireless fall detection system based on few-shot learning by Yuting ZENG, Suzhi BI, Lili ZHENG, Xiaohui LIN, Hui WANG

“…A scenario robust fall detection system based on few-shot learning (FDFL) in wireless environment was designed.The performance of existing fall detection methods based on Wi-Fi channel state information (CSI) degrades significantly across scenarios, which requires collecting and marking a large number of CSI samples in each application scenario, resulting in high cost for large-scale deployment.Therefore, the method of few-shot learning was introduced, which can maintain the performance of fall detection with high accuracy when the number of annotated samples in unfa-miliar scenes is insufficient.The proposed FDFL was mainly divided into two stages, source domain meta-training and target domain meta-learning.The meta training stage of the source domain consists of two parts: data preprocessing and classification training.In the data preprocessing stage, the collected original CSI amplitude and phase data were denoised and segmented.In the classification training stage, a large number of processed source domain data samples were used to train a CSI feature extractor based on convolutional neural network.In the meta-learning stage of the target domain, the limited labeled data sampled in the target domain was effectively extracted based on the feature extractor trained in the meta-training module, and then a lightweight machine learning classifier was trained to detect the fall behavior under the cross-scene.Through several experiments in different scenarios, FDFL can achieve an average accuracy of 95.52% for the four classification tasks of falling, sitting, walking and sit down with only a small number of samples in the target domain, and maintain robust detection accuracy for changes in test environment, personnel target and equipment location.…”
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A systematic review of studies eliciting willingness-to-pay per quality-adjusted life year: does it justify CE threshold? by Khachapon Nimdet, Nathorn Chaiyakunapruk, Kittaya Vichansavakul, Surachat Ngorsuraches

“…Most studies (92.85%) used contingent valuation method, while only one study used discrete choice experiments. …”
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Development of products with extended shelf life by A. T. Vasyukova, I. U. Kusova, M. M. Dyshekova, A. V. Moshkin, E. V. Glukhova

“…The article presents some features of the flow of physicochemical reactions that make it possible to describe the dynamics of the interaction of nutrients in the formed binary compositions of carbohydrate-fat structures of plant systems in the technological process.Methods. To carry out the tests, the potentiometric method was used and the pH of each sample was determined using the Expert-001-3pH device. …”
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Optimization of Injection-Molding Process Parameters for Weight Control: Converting Optimization Problem to Classification Problem by Peng Zhao, Zhengyang Dong, Jianfeng Zhang, Yi Zhang, Mingyi Cao, Zhou Zhu, Hongwei Zhou, Jianzhong Fu

“…This method only requires a small amount of experiment samples and thus can reduce cost and time. …”
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Remaining useful life prediction of Lithium-ion batteries based on data preprocessing and CNN-LSSVR algorithm by Ti Dong, Yiming Sun, Jia Liu, Qiang Gao, Chunrong Zhao, Wenjiong Cao

“…The RUL prediction method provided pave the new way for accurate prediction of battery data with limited number of samples and high noise characteristics. …”
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Effect of Heat Treatments on the Microstructure, Corrosion Resistance and Wear Behaviour of Bainitic/Martensitic Ductile Iron Under Dry Sliding Friction by Nugzar Khidasheli, Salome Gvazava, Garegin Zakharov, Mikheil Chikhradze, Andre Danonu Lignamnateh Batako, Juan Ignacio Ahuir-Torres, Ashwath Pazhani, Micheal Anthony Xavior

“…It is known that one of the effective methods for obtaining alloys with a heterogeneous structure is a multi-stage heat treatment. …”
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Requirements for Becoming a Startup: A Study with an Economic Sociology Approach (Case Study: Managers of Startups in Isfahan City) by Rahmatollah Torkan, Seyed Samad Beheshty, Ramin Moradi

“…To enhance the credibility and reliability of the research findings, two key mechanisms were employed: member checking to confirm that the findings accurately reflected the participants' experiences and an independent evaluation by an external auditor familiar with qualitative research methods and economic sociology, ensuring an impartial review of the analysis process. …”
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