Effect of feeding mechanically processed alfalfa silage on production performance of mid-lactation dairy cows by K.M. Kennedy, D.A. Pintens, K.F. Kalscheur, K.J. Shinners, J.C. Friede, M.F. Digman

“…ABSTRACT: Improving the digestibility and utilization of feedstuffs through processing methods may result in improved production and efficiency of dairy cattle. …”
Get full text

Optimization of Truck Platoon Size in Freeway Diverging Areas Based on Comprehensive Performance Evaluation by Zhifa Yang, Zongyao Li, Zhuo Yu, Wencai Sun, Jingjing Tian

“…Therefore, to balance the benefits between truck platoons and small vehicles, a comprehensive evaluation model was established, considering traffic efficiency, safety, and fuel economy. The analytic hierarchy process (AHP) method was employed to determine the importance of each indicator, resulting in a composite score. …”
Get full text

Development and Application of a Multiplex Real-Time TaqMan qPCR Assay for the Simultaneous Detection of African Swine Fever Virus, Classical Swine Fever Virus, Porcine Reproductiv... by Dongdong Yin, Shuangshuang Xu, Yayun Liu, Hao Guo, Mengdie Lan, Lei Yin, Jieru Wang, Yin Dai, Xuehuai Shen, Kai Zhan, Xiaocheng Pan

“…The detection threshold was determined to be 10 copies/μL per virus, indicating high assay sensitivity. …”
Get full text

Addition of punishments by V. M. Stepashin

“…The logical sequence of the presentation of regulatory requirements in these articles is flawed.The method and the basic algorithm for determining the final penalty when adding punishments. …”
Get full text

Relationship between assertiveness and reporting of job errors among nurses by Leili Borimnejad, Marjan Mardani Hmouleh, Naeimeh Seyed Fatemi, Mehrdad Mostaghaci

“…Methods: This descriptive and cross sectional study was performed on 153 nurses from Fatemeh Zahra hospital of Najafabad through census sampling. …”
Get full text

Deep learning for automatic brain tumour segmentation on MRI: evaluation of recommended reporting criteria via a reproduction and replication study by Justin Schneiderman, Rolf A Heckemann, Emilia Gryska, Isabella Björkman-Burtscher, Asgeir Store Jakola, Tora Dunås

“…Objectives To determine the reproducibility and replicability of studies that develop and validate segmentation methods for brain tumours on MRI and that follow established reproducibility criteria; and to evaluate whether the reporting guidelines are sufficient.Methods Two eligible validation studies of distinct deep learning (DL) methods were identified. …”
Get full text

Correction and modeling of position impact of current sensor of quantum direct current electricity meter by QIU Rujia, TIAN Teng, GENG Jiaqi, WANG Enhui, ZHAO Long, CHEN Yue

“…After fitting, the maximum relative error is reduced to 0.074%, with a coefficient of determination R2 equaling 1.000 0 and an MSE value of 1.18×10-4, achieving satisfactory results overall. …”
Get full text

Social Health Status and Its Related Factors in Older Adults by Fatemeh Sadadt Izadi-Avanji, Rasoul Mohseni-Asl, Hamidreza Gilasi

“…Data were analyzed using an independent t-test, one-way analysis of variance, the Tukey post hoc test, the Pearson correlation coefficient, and linear regression with a stepwise method. …”
Get full text

Pengaruh jingle Pemilu serentak 2024 di Instagram terhadap kesadaran memilih gen-z di Kabupaten Bantul by Bayu Aji Firmansyah, Fikri Disyacitta

“…Furthermore, the author conducted a coefficient of determination test to calculate the amount of influence of X on Y, which resulted in X having an influence of 47.9% towards Y. …”
Get full text

Hypertension a Predictive Risk Factor on Progression to Alzheimer’s Disease Using APOEε4 as a Benchmark by Mingfei Li, Ying Wang, Lewis Kazis, Weiming Xia

“…The aim of this paper is to determine whether hypertension is the most significant but modifiable risk factor to delay AD onset. …”
Get full text

Quantitative Prediction of Protein Content in Corn Kernel Based on Near-Infrared Spectroscopy by Chenlong Fan, Ying Liu, Tao Cui, Mengmeng Qiao, Yang Yu, Weijun Xie, Yuping Huang

“…A method for determining protein content in maize grain powder was established using near-infrared (NIR) reflectance spectra in the 940–1660 nm range. …”
Get full text

Permissible Extrapolation Justification of the Multiplicative Multifactorial Model and Its Application to the White Soot Production Technology by Lyutsiya Karimova, Guldana Makasheva, Vitaliy Malyshev, Yelena Kharchenko, Yerlan Kairalapov

“…A multifactorial experiment was designed, and the experimental results were processed using a probabilistic deterministic method for experiment design (PDED) to obtain a nonlinear multiplicative combined model. …”
Get full text

A statistical-based geospatial approach to prioritize the watersheds for soil erosion conservation in the Upper Awash Basin (Upstream Koka), Ethiopia by Pradeep Kamaraj, Immanuvel David Thangapandian, Shankar Karuppannan, Tola Garo

“…The drainage patterns were extracted from SRTM-DEM (Shuttle Radar Topography Mission-digital elevation model), and ‘Stahler’s method’ was adopted to determine the stream order. …”
Get full text

Design and Enhancing Security Performance of Image Cryptography System Based on Fixed Point Chaotic Maps Stream Ciphers in FPGA by Ahmed Amir Salih, Zaid Abdulsattar Abdulrazaq, Harith Ghanim Ayoub

“…The system implemented using co-simulation method on the ZYNQ 7000 SoC ZC702 Evaluation Kit, with a key space of 2288 and a throughput of 269. 32 MB/sec. …”
Get full text

An innovative modelling technique for bimodal soil water characteristic curve under wetting process by Nura Bello, Alfrendo Satyanaga, Sonny Irawan, Qian Zhai, Nurly Gofar, Jong Kim

“…The results of the statistical analysis indicate that the coefficient of determination (R 2) is close to 1.0 and root mean square error (RMSE) is approaching 0. …”
Get full text

Maximum Control Water Level (CWL) Jatibarang Dam to Avoid The Possibility of Overtopping Due to Flood 100 Years by Yeri Sutopo, Karuniadi Satrijo Utomo

“…The aims of this study are (1) to analyze the maximum CWL value in the main spillway of the Jatibarang dam based on the analysis of flooding due to Q 100 years; and (2) comparing the maximum CWL value of the main overflow dam Jatibarang results of planning using Q 50 years with the maximum CWL value of the main overflow dam due to flood discharge Q 100 years.This type of research was a survey. Data collection methods used were observation and documentation. The observation method was used to determine the coordinates of the dam spillway, which was then used to make a Jatibarang dam spillway watershed map and directly observe the Jatibarang dam spillway construction. …”
Get full text

Occurrence of ESBL, AmpC-ESBL, and Carbapenemase Producer Organisms in Clinical Specimens: An Observational Prospective Study by Rajal Dave, Abhijeet Joshi

“…Carbapenemase producer organisms were reconfirmed by a modified carbapenemase inactivation method per CLSI guidelines, with 288 GNB strains isolated from 801 clinical specimens. …”
Get full text

Quantitative Prediction of Low-Permeability Sandstone Grain Size Based on Conventional Logging Data by Deep Neural Network-Based BP Algorithm by Hongjun Fan, Xiaoqing Zhao, Zongjun Wang, Zheqing Zhang, Ao Chang

“…The best model was obtained by using decision tree, support vector machine, shallow and deep neural networks to model the median rock grain size and predict neighboring wells, and a comparative analysis showed that for the problem of predicting the median rock grain size in low-permeability sandstone reservoirs, the deep neural network improved significantly over the shallow one and was much stronger than other machine learning methods. The best model obtained a coefficient of determination (R2) of 0.9831. …”
Get full text

D → Pℓ + ℓ − decays assisted by QCD light-cone sum rules by Anshika Bansal, Alexander Khodjamirian, Thomas Mannel

“…Abstract We suggest a new method to analyse the rare D (s) → Pℓ + ℓ − decays (P = π, K), combining QCD light-cone sum rules (LCSR) with hadronic dispersion relations. …”
Get full text

Fusion of DS-InSAR and THPF-LSTM for monitoring and predicting surface deformation in closed mines by Jianyang ZHANG, Hongdong FAN, Xiangyang ZHU, Minghu SUN

“…The results show that: the density of DS-InSAR monitoring points is uniformly distributed, and the coefficient of determination between the measured deformation and the monitoring results reached 0.95; compared with the LSTM model, the maximum RMSE (root mean square error) of the THPF-LSTM model in the prediction points is 3.0, and the mean absolute error (MAE) is 2.4, and the maximum Adjusted R-Square was 0.9, which is better than 4.5, 3.9, and 0.6 of the traditional LSTM model, and the comprehensive prediction accuracy of the model is improved by more than 20%, and it can accurately reflect the trend and volatility of the surface deformation of the closed mine, and can effectively improve the prediction accuracy of mine settlement in the short term. …”
Get full text