纠错码的周期分布 by 杨义先, 胡正名

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Perbedaan Rasio Kolesterol Total/ HDL Kelompok Kontrol dan Kelompok Diet Tinggi Minyak Sawit pada Tikus Wistar by Yelsa Yulanda Putri, Ellyza Nasrul, Susila Sastri

“…Hasil penelitian menunjukkan terdapat perbedaan peningkatan yang tidak bermakna antara kelompok P dan kelompok K pada rerata kolesterol, yaitu 63.66±9.9(P) 57.39±3.28(K) (p>0.05), rerata HDL 19.44±3.99(P) 17.64±2.00(K) (p>0.05), dan rerata rasio kolesterol total/ HDL 3.26±0.24 (P) 3.31±0.32 (K) (p>0.05). …”
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Implementasi Data Mining untuk Deteksi Penyakit Ginjal Kronis (PGK) menggunakan K-Nearest Neighbor (KNN) dengan Backward Elimination by Ikhsan Wisnuadji Gamadarenda, Indra Waspada

“…Selanjutnya dilakukan pendeteksian penyakit menggunakan Algoritme k-Nearest Neighbor menghasilkan nilai akurasi sebesar 99,25%, sensitivity sebesar 99,5%, dan specificity sebesar 98,745%. …”
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A Vehicle Parking Detection Method Based on Correlation of Magnetic Signals by Hongmei Zhu, Fengqi Yu

“…The experimental results show that the proposed method can provide the detection accuracy of 99.33% for arrival and 99.63% for departure.…”
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AN APPROACH HYBRID RECURRENT NEURAL NETWORK AND RULE-BASE FOR INTRUSION DETECTION SYSTEM by Trần Thị Hương, Phạm Văn Hạnh

“…A comparison of the detection efficiency of our model with the previous detection models on the same data set, KDD CUP 99, shows that the proposed model is effective for detecting network intrusions at rates higher than 99%.…”
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Multiband Printed Asymmetric Dipole Antenna for LTE/WLAN Applications by Chia-Mei Peng, I-Fong Chen, Chin-Hao Liu

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难产手术儿智能发育调查

“…用丹佛发育筛选检查法(DDST)调查1215例1～5 11/12岁的各种难产手术儿智能发育,随机取同期顺产儿466例作对照,手术产儿DDST正常1205例(99.2％)、可疑1例(0.1％)、异常9例(0.7％),顺产儿DDST正常464例(99.6％)、可疑1例(0.2％)、异常1例(0.2％)。…”
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Efficacy of Monoclonal Antibodies Against Calcitonin Gene-Related Peptide for Medication Overuse Headache in Migraine Patients: Literature Review by A. Kairytė, P. Lukoševičius, G. Žemgulytė

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W-Band GaAs pHEMT Power Amplifier MMIC Stabilized Using Network Determinant Function by Seong-Hee Han, Dong-Wook Kim

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Noise tolerant and power optimized ternary combinational circuits for arithmetic logic unit by Katyayani Chauhan, Deepika Bansal

“…The average power of the proposed ternary half adder is improved by 99 % and the power-delay product of it is reduced up to 99 %. …”
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The measurement of the vertical relief on metal-graphic microscopes of production of OJC «Optoelectronic systems» by A. G. Anisovich, A. S. Buinitskaya

“…For MI-1 and MICRO-200 microscopes, the depth of the well was determined as 99.36 and 99.8 µm, respectively, which is consistent with the profilometer data (~100 µm). …”
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Visual Experience in Strabismus – A Concept-Based Learning for Postgraduates by Anjali Khadia, Veena Kannusamy, Fredrick Moutappa, Janani Muralikrishnan, G S Lavanya, Sivaraja Gowthaman, R. Poorani, Gururaj N. Deshpande, Rengaraj Venkatesh

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Effect of Electronic Messaging on Physical Activity Participation among Older Adults by Chantrell Antoine Parker, Rebecca Ellis

“…Participants were active older adults (n=28; M age = 60 years, SD = 5.99, and range = 51–74 years). Using an incomplete within-subjects crossover design, participants were randomly assigned to begin the 4-week study receiving the treatment condition (a morning and evening text message) or the control condition (an evening text message). …”
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Un acercamiento al desempeño de la industria cervecera durante la recesión y la crisis económica de 1926-1932 by Adriana López López, María Eugenia Romero Sotelo

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Sulfonated polystyrene foam waste as an efficient catalyst for Friedel-Crafts type reactions by Behrang Moazzen, Roya Kamrouz, Alireza Khorshidi

“…Under mild and solvent-free conditions, SPS catalyzed the reaction of various indoles and oxiranes (9 examples) with acceptable yields (55–99%). The catalyst’s efficiency was further validated in synthesizing various bis(indolyl)methanes (8 examples, 88–99% yield). …”
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EEG emotion recognition based on parallel separable convolution and label smoothing regularization by Yong ZHANG, Jikui LIU, Wenlong KE

“…In recent years, emotion recognition methods based on deep learning and electroencephalogram (EEG) have achieved good results.However, existing methods still have issues such as incomplete extraction of emotional features from EEG and significant impact from artificially mislabeled emotional labels.A parallel separable convolution and label smoothing regularization (PSC-LSR) network model was proposed.Firstly, through the attention mechanism, EEG important time points and important channels were given greater weight to obtain shallow emotional features of EEG.Secondly, a parallel separable convolution module was used to comprehensively extract EEG emotional information and obtain deep emotional features.Finally, the emotion label smoothing regularization method was used to optimize the model parameters, which increased model’s fault tolerance probability for incorrect labels, enhanced the generalization and robustness of the network model, and improved accuracy of EEG emotion recognition.The proposed method has been validated in two datasets, in which the average accuracy rates of arousal and valence dimensions in the DEAP dataset reaches 99.23% and 99.13%, respectively.In the Dreamer dataset, the average accuracy rates for both arousal and valence dimensions reaches 97.33% and 97.25%.…”
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Melting features and viscosity of SiO2-CaO-MgO-Al2O3-FeO nickel slag in laterite metallurgy by Pan C., Lv X., Bai C., Liu X., Li D.

“…The basicity of the SiO2-CaO-MgO-Al2O3-FeO quinary slag system varied from 0.76 to 0.99. The results showed that: 1) all the slag samples began to soften at the same temperature; 2) the softening temperature, melting temperature and flowing temperature decreased with the increase of basicity from 0.76 to 0.92, after that, the temperatures would increase sharply. 3) the inflection point temperature of viscosity-temperature curve became larger and larger with the increase of basicity within 0.76 ~ 0.99.…”
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White Matter Lesions and Cognitive Impairment as Silent Cerebral Disease in Hypertension by Cristina Sierra, Antonio Coca

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Global dynamics of a general class of multi-group epidemic models with latency and relapse by Xiaomei Feng, Zhidong Teng, Fengqin Zhang

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A UWB NLOS identification method under pedestrian occlusion by Tong WU, Yeshen LI, Zhenhuang HUANG, Yu ZHANG, Wanle ZHANG, Ke XIONG

“…Ultrawideband (UWB) is a hot technology for indoor positioning with large bandwidth, strong anti-interference ability, and high multipath resolution capacity.However, due to the complex indoor environment, UWB signal propagation will inevitably be blocked, resulting in non-line-of-sight (NLOS) propagation, which greatly reduces the accuracy of UWB positioning.Therefore, identifying NLOS signals accurately and discarding or correcting them are important to alleviate the problem of the decline in positioning accuracy.The majority of present NLOS identification work focuses on scenes with building structures such as walls.Further discussion is needed for scenes obscured by pedestrians.Since the impact of human obstacles on the signals is more complex and cannot be ignored, the NLOS identification under pedestrian occlusion was studied.By comparing a variety of machine learning methods and signal feature combinations, the random forest method based on the three-dimensional features of the first path signal power, the received signal power, and the measured distance was proposed.These features with fewer dimensions and easy extraction were used to achieve a high identification percentage for NLOS.The experimental results based on the measured data of different devices show that the NLOS identification accuracy based on the proposed method reaches 99.05%, 99.32% and 98.81% respectively.…”
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