Pour un changement de paradigme dans la politique d’attractivité résidentielle en Région de Bruxelles-Capitale by Hannah Berns, Emmanuelle Lenel, Christine Schaut, Gilles Van Hamme

“…After 30 years, it is clear that policies aimed at keeping average households in BCR have failed. We show that this failure is the result of an error with respect to the target (average households with children) as well as the means (the emphasis on ownership), denying the reality of the city as a place of transition: on the one hand, average households with children represent only a moderate fraction of departures and are particularly difficult to retain in a dense urban environment; on the other hand, access to ownership hardly seems to be an effective means of anchoring the population. …”
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Light weight rotating object detector based on angle sensitive spatial attention mechanism by Kaishi YIN, Meng YANG, Xi GU, Zhicheng WANG

“…With the rapid development of deep learning, more and more target detection algorithms based on anchor frame are applied to remote sensing images in recent years.However, the cost of improving the accuracy of the algorithm is to sacrifice the detection speed.Therefore, the target detection network framework of anchor free was chosen, and a remote sensing detection algorithm of rotating frame was proposed according to the characteristics of remote sensing scene.A simple and effective representation of rotating frame was proposed according to the spatial position relationship between rotating frame and its external rectangular frame.In addition, an angle sensitive attention mechanism was designed to assist the detection of rotating targets.By introducing angle information, the detection ability of the model for rotating targets was improved.The proposed algorithm was tested on the open remote sensing dataset DOTA.The mean average precision of target detection network of rotating frame is 68.5% and the detection speed is 17.4 frames per second.…”
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Recovery and Resource Allocation Strategies to Maximize Mobile Network Survivability by Using Game Theories and Optimization Techniques by Pei-Yu Chen, Frank Yeong-Sung Lin

“…In this paper, a novel metric called Average Degree of Disconnectivity (Average DOD) is proposed, in which the concept of probability is calculated by the contest success function. …”
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Effective Seed Scheduling for Directed Fuzzing with Function Call Sequence Complexity Estimation by Xi Peng, Peng Jia, Ximing Fan, Cheng Huang, Jiayong Liu

“…However, the distance can only reflect the relationship between the current node and the target node, and it does not consider the impact of the reaching sequence before the target node. …”
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Loader Bucket Working Angle Identification Method Based on YOLOv5s and EMA Attention Mechanism by Xuedong Zhang, Bo Cui, Zhaoxu Wang, Wangting Zeng

“…The EMA attention mechanism was introduced to increase the recognition rate of the target area and the positioning accuracy of the target frame, effectively differentiating the background area from the target area. …”
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Determination of Phenolic Compounds from Lignin Decomposition Products in Marine Sediments by Ultra-High Performance Liquid Chromatography-High Resolution Mass Spectrometry by Jianbo YANG, Junhui CHEN, Xiuping HE, Jiuming WANG, Ming XIN, Xia SUN, Baodong WANG

“…The value of C/V was between 0.18 and 0.81, with an average of 0.38; the value of S/V was between 0.18 and 0.45, with an average of 0.26; PON/P value was between 0.01 and 0.07, with an average of 0.03; P/(V+S) value was between 0.55 and 3.77, with an average of 1.44; (Ad/Al)v value was between 0.12 and 1.07, with an average of 0.48; the value of (Ad/Al)s was between 0.15 and 1.26, with an average of 1.02.CONCLUSIONSThe above diagnostic ratios indicate that the lignin in the surface sediments of Laizhou Bay originate mainly from the herbaceous tissue of angiosperms, while the proportion of organic matter in vascular plants is relatively low. …”
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Effectiveness of triple fixed-dose combination in patients with inadequate blood pressure control by E. V. Zbyshevskaya, V. E. Gumerova, V. P. Erinchek, N. A. Logunova

“…Similar patterns were also found for the average values of nighttime BP. Target BP <140/90 mm Hg after 4 weeks reached the majority (87,2%) of patients, and after 12 weeks, the proportion of pa tients who reached the target BP was 100%.Conclusion. …”
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Adherence to WHO/INRUD prescription indicators in public hospitals: evidence from the Ashanti Region, Ghana by Richard Delali Agbeko Djochie, Rita Owusu-Donkor, Elizabeth Modupe d’Almeida, Francis Kwadwo Gyamfi Akwah, Emmanuel Kyeremateng, Samuel Opoku-Afriyie, Cecilia Akosua Tabiri, Francis Kyei-Frimpong, Samuel Dwomoh, Francis Fordjour, Jonathan Boakye-Yiadom

“…Results: No hospital met the WHO target of <2 medicines per encounter (regional average: 3.63 ± 0.62). …”
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Bearing Small Sample Fault Diagnosis based on Data Generation and Transfer Learning by Dinghui Wu, Qin Fang, Chuyi Wu

“…Finally， the Softmax function is used for fault diagnosis on the output of the fully-connected layer of the target model. Experiments show that the proposed fault detection method has an average accuracy of 99.67% in the scenario of small sample data of the target dataset， so the obvious classification effect and strong generalization ability could be seen.…”
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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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Feasibility study of automatic radiotherapy treatment planning for cervical cancer using a large language model by Shuoyang Wei, Ankang Hu, Yongguang Liang, Jingru Yang, Lang Yu, Wenbo Li, Bo Yang, Jie Qiu

“…The average homogeneity index (HI) was 0.058 ± 0.006, 0.059 ± 0.005, and 0.065 ± 0.006, respectively. …”
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Different Scale Crack Contour Extraction Techniques for Bridges Incorporating Improved YOLOv5 and GCNet by Yiming Wang, Yanfang Guo

“…However, in real complex environments, the accuracy, recall, and average precision of the model were tested with average values of 50-90, which were 90%, 0.89, and 0.83, respectively. …”
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EXPERIENCE IN THE USE OF BISOPROLOL IN THE TREATMENT OF OUTPATIENT HYPERTENSIVE PATIENTS AFTER STROKE by I. I. Esenova, L. N. Lisenker

“…Average daily HR and LF/HF ratio decreased, reaching the optimal values after 34 days. …”
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Machine Learning Predictors for Min-Entropy Estimation by Javier Blanco-Romero, Vicente Lorenzo, Florina Almenares Mendoza, Daniel Díaz-Sánchez

“…We explore the relationship between average min-entropy and the traditional min-entropy, focusing on their dependence on the number of target bits being predicted. …”
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No interaction between fundamental-frequency differences and spectral region when perceiving speech in a speech background. by Sara M K Madsen, Torsten Dau, Andrew J Oxenham

“…Performance was measured with average F0 differences (ΔF0) between the target and single-talker masker of 0, 2, and 4 semitones. …”
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No-feedback rate control algorithm for Wyner-Ziv video coding by SONG Bin, YANG Ming-ming, QIN Hao, HE Hong

“…To avoid using feedback channel,an encoder rate control algorithm for Wyner-Ziv video coding was proposed.Firstly,using the target frame-rate and the target bit-rate,It could determine the bit allocation for each group-of-picture（GOP）.According to the correlation between adjacent frames,the bit budget for a GOP were further allocated to key frame and Wyner-Ziv frames within the GOP by dynamically choosing quantization parameter and quantization matrices.Then,with refinement of correlation-noise model（CNM） parameter,different LDPC（low-density parity-check） check matrices might be chosen for each bitplane to control the encoding bitrate of Wyner-Ziv frame.Experimental results show that the difference between expected target bitrate and actual encoded bitrate is less than 0.57% using the proposed method,and compared with existing algorithm,average PSNR（peak signal-to-noise ratio） of decoded video quality can be increased by 1 dB.In addition,our algorithm slightly increases encoder complexity,and can be used in practice.…”
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Use Linear Weighted Genetic Algorithm to Optimize the Scheduling of Fog Computing Resources by Ruisheng Li

“…The optimization weight is established according to the user’s preference for the target. We normalize the optimization objective function and merge it into one target, and then we proceed with genetic manipulation to get a better solution. …”
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Photo-CIDNP for quantification of micromolar analytes in urine by Marta Stefańska, Thomas Müntener, Sebastian Hiller

“…Abstract Towards target diagnostics of low-concentrated molecules in biofluids, NMR spectroscopy faces limitations due to low sensitivity, signal overlap, and high equipment costs. …”
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Electronic transfer taxes and the stock market: empirical evidence from Ghana’s E-levy by John Boamah, Ernestina Ohenewaah Denchie, Aurelia Naa Ayikaikor Ayi-Bonte

“…Following a rate reduction to 1.5%, the revenue target was revised to GH₵4.5 billion. Using a difference-in-differences approach, we find a negative effect on target firm stock prices, persisting around the implementation period. …”
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TRENDS IN THE PRICE OF AGRICULTURAL INPUTS AND PRODUCTS AND THE PHENOMENON OF "PRICE SCISSORS" IN REPUBLIC OF MOLDOVA by Maria COJOCARU

“…It was concluded that the state should support a manufacturer's target price. The target price of the manufacturer supported by the state should provide producers a profit above the average in economy. …”
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