Selection of optimal human myoblasts based on patient related factors influencing proliferation and differentiation capacity by Moritz Englich, Andreas Arkudas, Lilly Mengen, Raymund E. Horch, Aijia Cai

“…Abstract Human myoblasts (hMb) are a promising source for engineering skeletal muscle tissue. But sample-specific variabilities make research with human cells challenging. …”
Get full text

Restoration of Hardware Function of Spectral Colorimeters Using Regularization Methods by M. A. Radjabova, B. I. Eshmatova, N. K. Babanazarova

“…A change in the state of the surface of optical elements significantly increases the light scattering, so it is necessary regularly to take into account the amount of scattered light in the light flux reflected from the surface and the measured and comparative samples. The conversion of the light flux into the electrical signal of the photodetector can also occur non-linearly. …”
Get full text

Quantitative ELISA for SERPINA4/kallistatin by Kurpad Nagaraj Shashidhar, Venkata Lakshmaiah, Chandrappa Muninarayana, Krishna Sumanth Nallagangula

“…Conclusion: The accuracy of the developed ELISA was determined by inter- and intra-assay precision. Linearity was defined using a spiked sample with serial dilutions. …”
Get full text

Improving Satellite-Based Retrieval of Maize Leaf Chlorophyll Content by Joint Observation with UAV Hyperspectral Data by Siqi Yang, Ran Kang, Tianhe Xu, Jian Guo, Caiyun Deng, Li Zhang, Lulu Si, Hermann Josef Kaufmann

“…Additional field measurements sampled at other farming areas were applied to validate the method’s transferability and generalization. …”
Get full text

Facile Fabrication of Polydopamine-Functionalized Titanium Dioxide Nano/Submicro-Particles on the NiTi Substrate for Highly Efficient Solid-Phase Microextraction of Benzotriazole U... by Huiju Wang, Shoujia Wang, Kang Li, Yulong Ma, Tianhong Zhou

“…Under the optimum conditions, the calibration curves presented good linearity for BUvFs in the ranges from 0.01 µg·L−1 to 300 µg·L−1, and the correlation coefficients (r) were above 0.9990. …”
Get full text

Study the Effect of Cold Plasma on the Nonlinear Properties of Polymeric Membranes Rod Amine (R3Go) by keta et al.

Get full text

Classification of Flavored Filipino Vinegars Using Electronic Nose by Jon Laurman Palanas, Michael Irvin C. Peña, Meo Vincent C. Caya

“…A support vector machine (SVM) was employed to utilize the data gathered and accurately identify the varieties. 360 samples were included in the training dataset, while 108 samples were included in the testing datasets. …”
Get full text

Evaluation of Biochemical Methane Potential and Kinetics of Organic Waste Streams for Enhanced Biogas Production by Rodolfo Llanos-Lizcano, Lacrimioara Senila, Oana Cristina Modoi

Get full text

In-Season Mapping of Sugarcane Planting Based on Sentinel-2 Imagery by Hui Li, Liping Di, Chen Zhang, Li Lin, Liying Guo, Ruopu Li, Haoteng Zhao

“…The time-invariant phenology features were calculated from composite Sentinel-2 normalized difference vegetation index (NDVI) series using linear cosine regression (LCR). They integrated as training samples to construct a one-class support vector machine (OCSVM) classifier, generating Jun.…”
Get full text

EXAMINATION OF ARCHITECTS’ LEVELS OF BURNOUT by Dilek Murat, Filiz Şenkal Sezer, Yasemin Erbil

“…Data analysis was conducted with log linear analysis, whichis commonly used for multivariate categorical data analysis. …”
Get full text

Simulation of microstrip radio altimeter antenna for aircraft by A. V. Gusinski, M. S. Svirid, D. A. Kondrashov, A. A. Kopshai, D. G. Bulavko, D. A. Lisov

Get full text

The Effect of Auditor Independence, Good Corporate Governance, and Audit Quality on the Integrity of Financial Reporting (Case Study of Banking Sector Companies Listed on the Indon... by Daniel Efrian Kristianto, Sari Andayani

“…The object studied was banking sector companies listed on the IDX in 2019-2023 with a sample of 115. The research method used was multiple linear regression analysis to identify the relationship between the independent variables on the dependent variable. …”
Get full text

Waste material recycling: the horrors of informal waste material picking in Zimbabwe by Paul Mukucha, Divaries Cosmas Jaravaza

“…Purpose – The transition from a linear to a circular economy has created unintended employment opportunities for marginalised communities in various developing countries. …”
Get full text

Association of plasma homocysteine with cardiovascular disease in American adults: a study based on the national health and nutrition examination survey database by Zhaoming Huang, Qiaohui Zhang, Jie Zhang, Renyan Zhang, Yujie Huang, Demin Xu

“…Weighted logistic regression, linear trend analysis, subgroup analysis and limiting cubic spline plots were used for analysis. …”
Get full text

Detecting LNAPL migration in real time using electrical resistivity and statistical models by Ola Tareq al-Hussain, Harris Ramli, Mohammed J. Al-Haidarey, Hayder Yasir Naser

“…Electrical resistivity measurements were taken over 24 h using a multifunction installation tester, soil samples were analyzed to determine LNAPL concentration. …”
Get full text

Predicting laboratory solution kit accuracy using artificial intelligence: a data-driven approach by Abdulwahab AL-Deib, Eshraq Alsherif, Husameddin Abuzgaia, Amel Rabti, Ruwaida Rtemi, Salem Elfard, Sheren Njaim

“…Through empirical analysis of parallel-tested blood samples, four linear regression models were established, demonstrating excellent predictive accuracy (R2 > 0.99, mean absolute error < 1.2%). …”
Get full text

Strength and Durability Characteristics of Soil-Cutting Working Tools by D. A. Mironov, S. A. Sidorov, I. V. Liskin

“…They have stated mathematical relationships that determine the linear wear of plowshare blades and chisels depending on the characteristics of the materials used, design parameters, soil conditions and total operation time and carried out comparative operational and duration testing of newly developed plowshares. …”
Get full text

Statistical modeling and application of machine learning for antibiotic degradation using UV/persulfate-peroxide based advanced oxidation process by Musfekur Rahman Dihan, Md. Ashraful Alam, Surya Akter, Md. Abdul Gafur, Md. Shahinoor Islam

“…Pearson correlation and statistical multivariate linear regression (MLR) were applied to model the removal% and pHfinal of both antibiotics, along with the three machine learning algorithms, Artificial neural network (ANN), support vector machine (SVM), and Random Forest (RF), to make the same predictions. …”
Get full text

Analytical Study of the Detection Model for Sulphate Saline Soil Based on Mid-Infrared Spectrometry by Hanyu Wei, Yong Huang, Sining Li, Jingzhuo Zhao, Wen Liu, Huan Li, Qiushuang Cui, Ruyun Bai

“…Three chemometric methods were evaluated: partial least squares regression (PLSR), principal component regression (PCR), and multivariate linear regression (MLR). Results showed that the MLR model provided superior predictive performance. …”
Get full text

Enhancing long-term adherence in elderly stroke rehabilitation through a digital health approach based on multimodal feedback and personalized intervention by Xintong Wen, Yuxuan Li, Qi Zhang, Zhiwei Yao, Xijie Gao, Zhibo Sun, Xing Fang, Wei Huang

“…Data were gathered through structured questionnaires, resulting in a final sample size of 540 data points. The time effect has a significant positive effect on rehabilitation compliance. …”
Get full text