RELATIONSHIP BETWEEN KNOWLEDGE, ACTION OF FAMILY IN DCB (DRAIN, CLOSE, AND BURY) PROGRAM, AND THE EXISTENCE OF EGGS OF AEDES AEGYPTI MOSQUITO ON OVITRAP IN KANDAI KENDARI, INDONESI... by Reni Yunus, Anita Rosanty

“…Chi square test showed that X2 count value (1.261) was less than X2 table value (3.814) at error level 5% (α = 0.05) indicated that Ha was rejected and Ho was accepted. …”
Get full text

Listen to genes: dealing with microarray data in the frequency domain. by Jianfeng Feng, Dongyun Yi, Ritesh Krishna, Shuixia Guo, Vicky Buchanan-Wollaston

“…<h4>Methodology</h4>Genes are normalized using an error model based uniform normalization method aimed at identifying and estimating the sources of variations. …”
Get full text

Parkinson’s Disease Gravity Index: A Method by means of Optimal Scaling by Marcos Serrano-Dueñas, Luis Masabanda, Maria-Rosario Luquin

“…Conclusions. The Parkinson’s Disease Gravity Index has shown adequate metric properties.…”
Get full text

Many-to-one comparisons after safety selection in multi-arm clinical trials. by Gerald Hlavin, Lisa V Hampson, Franz Koenig

“…All safety and efficacy evaluations are therefore performed at the end of the study, when for each patient all safety and efficacy data are available. If confirmatory conclusions are to be drawn from the trial, strict control of the family-wise error rate (FWER) is essential. …”
Get full text

Theoretical and numerical study of profit in agricultural sector model using wavelet method by Yeshwanth R., Kumbinarasaiah S.

“…Finally, we graphically depict the results and offer empirical support for our theoretical conclusions through graphic representations. The CWCM approach generates precise results with better absolute error (Ae) for highly nonlinear scenarios by computing a small number of terms and avoiding data rounding. …”
Get full text

Aircraft Multi-stage Altitude Prediction Under Satellite Signal Loss by Mengchan HUANG, Qiang MIAO

“…The relative error ratios of the LTCA–TCN model for all three phases are within 1, indicating that the model’s predictions are generally more accurate than the inertial pressure altitude.Conclusions The results indicated that the LTCA–TCN model achieves high prediction accuracy across multiple stages, outperforming commonly used neural network algorithms in the field and providing optimal predictive performance. …”
Get full text

Comparing immobilisation devices in gynaecological external beam radiotherapy: improving inter‐fraction reproducibility of pelvic tilt by Shimon Prasad, Linda J. Bell, Benjamin Zwan, Florence Ko, Tayla Blackwell, Kevin Connell, Cameron Stanton, Meegan Shepherd, John Atyeo, Mark Stevens, Marita Morgia

“…The Butterfly Board had a slightly higher variance both for patient‐to‐patient (standard deviation of the systematic error) and day‐to‐day error (standard deviation of the random error). …”
Get full text

Exome-wide genetic risk score (ExGRS) to predict high myopia across multi-ancestry populations by Jian Yuan, Ruowen Qiu, Yuhan Wang, Zhen Ji Chen, Haojun Sun, Wei Dai, Yinghao Yao, Ran Zhuo, Kai Li, Shilai Xing, Myopia Associated Genetics and Intervention Consortium, Xiaoguang Yu, Liya Qiao, Jia Qu, Jianzhong Su

“…Abstract Background High myopia (HM), characterized by a severe myopic refractive error, stands as a leading cause of visual impairment and blindness globally. …”
Get full text

Determining Impacts on Non-Performing Loan Ratio in Romania by Adriana Daniela CIUREL, Tiberiu STOICA

“…This paper presents in the first place an executive summary of the main conclusions of the study, as well as a reference to the origin of the data used and the methodology applied. …”
Get full text

Roughness prediction of end milling surface for behavior mapping of digital twined machine tools [version 2; peer review: 2 approved, 1 approved with reservations] by Gedong Jiang, Suiyan Shang, Wenwen Tian, Zheng Sun, Jun Xu, Dawei Zhang, Chi Fai Cheung

“…In detail, when the model input is the combination of force, vibration, and current sensor data, the prediction accuracy reaches the optimum with the mean absolute percentage error of 1.01%. Conclusions Compared with the state-of-the-art convolutional neural network method with automatic feature extraction ability and other commonly used traditional machine learning methods, the proposed data preprocessing procedure integrated with a three-layer backpropagation neural network has a minimum prediction error.…”
Get full text

Research on formant estimation algorithm for high order optimal LPC root value screening by Hua LONG, Shumeng SU

“…In terms of the robustness of the algorithm and the overall performance comparison of different methods,the proposed algorithm can extract the formant robustly from order 9 to 22, and the model algorithm shows the optimal performance when the formant is extracted from order 18. Conclusions:The method of formant detection based on LPC is improved.The effect of improving the order of linear prediction on formant extraction was studied.Aiming at the problem of multiple pseudo-roots and multi-pole interaction caused by increasing the order of linear prediction, the error of formant extraction constrained by the speech-digital resonance model is minimized. …”
Get full text

Ensuring of the industrial robot link motion accuracy parameters in the low-speed zone by N. F. Karnaukhov, D. A. Smyatsky, M. N. Filimonov, K. I. Rudnev

“…The article is devoted to the search for a method of reducing the effect of friction links mobility industrial robot PR (production mechanism PM) with frequency-controlled electric drive (FCED) on the static error (accuracy) positioning of the working body (WB) when moving in a low speed zone. …”
Get full text

Tactical and statistical analysis of spiking efficiency by type, zone and set phase in women's volleyball by Kiattisak Sitti, K. Ravivuth Rangubhet

“…Performance peaked during the middle set phase (EI = 0.318) but declined in the endgame phase (EI = 0.195; error rate = 0.151).ConclusionsSpike type selection, court positioning, and set phase timing significantly affect offensive performance. …”
Get full text

Questionnaire about the risk of growth suppression of inhaled corticosteroids by Ole D Wolthers

“…A total of 867 individuals (74.6%) would not worry about a risk of 1-year growth suppression in the range of 0.5–2 cm (range: 233 (63.3%) in parents to patients in a secondary referral centre to 59 (86.8%) in the group of paediatricians (χ2 53.3, df 12, p&lt;0.001; γ −223, error 0.042, p&lt;0.001). A total of 745 individuals (64.3%) said that a loss in final height of 0.5–2 cm would not worry them (range: 34 (54.0%) in paediatricians to 119 (76.3%) in parents to healthy children (χ2 49.5, df 12, p&lt;0.001; γ −0.073, error 0.039, p=0.06).Conclusions Most children with asthma, lay people and paediatricians do not worry about the risk of growth suppression of inhaled corticosteroids in the range up to 2 cm. …”
Get full text

Factors influencing parental role satisfaction among Korea fathers of young children in the COVID-19 endemic era by Eun Ju Choi, Sun Jung Park

“…The Durbin-Watson value was 2.23, which is close to the ideal value of 2, indicating no significant autocorrelation in the error terms. Residual analysis also confirmed that the model met the assumptions of linearity, normality of error terms and homoscedasticity. …”
Get full text

Comparison of the clinimetric properties of the two versions of the HACOR scale for predicting noninvasive ventilation failure in Brazilian patients by Matheus Pereira Nunes da Silva, Adriana Claudia Lunardi

“…A second application of the scales was performed after ten minutes to assess reliability (intraclass correlation coefficient), measurement error (standard error of measurement and minimum detectable difference), ceiling and floor effects, convergent validity by correlation (Pearson’s r) with peripheral oximetry saturation (SpO2), and predictive validity (area under the receiver operating characteristic [ROC] curve) for the outcome of needing invasive mechanical ventilation. …”
Get full text

Ship heading and trajectory control method based on L1-GPR by Shijie LI, Jiawei HE, Jialun LIU, Taixu LIU, Chengqi XU

“…ResultsThe simulation results show that adding the GPR model reduces the average rudder amplitude by 14.9%, average absolute heading error by 23.2%, and maximum absolute heading error by 12.1%. …”
Get full text

Detection of Axial Locations of Control Rods Using Movable In-core Detectors [version 2; peer review: 2 approved] by Edwin Kolbe, Daniele Timpano, Benoit Soubelet

“…The developed method proved able to locate control rods’ axial insertion with few steps error, equivalent to maximum 1.6% of total fuel height (i.e. 5 cm as maximum error). …”
Get full text

Prediction of temperature distribution in asphalt concrete layers by Tiraturyan Artem, Uglova Evgenia, Simchuk Evgeniy, Kadyrov Georgiy, Gorskiy Mihail

“…The accuracy of the modified dependence is confirmed by the root mean square error (RMSE) value of up to 10 %. Conclusions. The model modified in the paper can be used at the stage of design and operation of motorways when calculating the temperature conditions of asphalt concrete layers.…”
Get full text

Regulatory efforts to address the access gap for foreign new drugs in China: the priority review program and related policies by Xingyue Zhu, Jinsui Zhang

“…The difference-in-difference models found that the PR program reduced drug launch delay by 1157.0 days (robust standard error, 571.0; P<0.05) and reduced drug submission delay by 1037.3 days (robust standard error, 520.8; P<0.05). …”
Get full text