Allometric equations for the aboveground biomass of five tree species in China using the generalized method of moments by Jia Wang, Longyu Zhang, Zhongke Feng

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Electrochemical probe for total determination and speciation of selenium (IV& VI) species in water, drug formulations and foodstuffs using Thoron–I as selective chelating agent by H. Alwael

“…The average recoveries for the spiked water samples were ranged from 99.4 ± 0.60 to 110.0 ± 6.3. …”
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Discrete vs. Discretized Control in Voltage Source Inverters for UPS Systems by Zbigniew Rymarski, Wojciech Oliwa, Grzegorz Wieczorek

“…Two control systems will be compared—the pure discrete control, in this case a one-sample-ahead preview deadbeat control (OSAP), and a discretized passivity-based control (PBC). …”
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Innovative MOF-enhanced electroanalytical approach for sensitive sunitinib malate detection in renal carcinoma patients using CuO/lanthanum MOF-modified carbon paste electrode by Azza H. Rageh, Mohamed I. Said, Asmaa Abdeltawab, Fatma A.M. Abdel-aal

“…Under the optimized conditions, SW-AdASV method exhibited a linear response over a concentration range of 0.01–1.0 μmol l-1 with a detection limit of 0.002 μmol l-1 for SUN. …”
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Voltage-based prediction technique for efficient MPPT method for SPV systems under non-uniform insolation and partial shading conditions by Haider A. Mohamed-Kazim, Ahmed Hussein Shatti, Ahmed Aldhahab, Ikhlas Abdel-Qader, Sarmad K. Ibrahim, Rusul Noori Saraj

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A Sensitive and Selective Sensor Based on Orthorhombic Copper Molybdate Decorated on Reduced Graphene Oxide for the Detection of Promethazine Hydrochloride by Venkatachalam Vinothkumar, Yellatur Chandra Sekhar, Shen-Ming Chen, Natesan Manjula, Tae Hyun Kim

“…As a result, the Cu₃Mo₂O₉/RGO/SPCE exhibited a broad linear range of 0.4–420.8 µM with a low limit of detection (LoD) of 0.015 µM, highlighting excellent electrocatalytic performance to PMH. …”
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Glycemic indicators and mental health symptoms: results from the greater Beirut area cardiovascular cohort by Zahraa Mohammad Chamseddine, Mona P. Nasrallah, Hani Tamim, Hani Tamim, Hani Tamim, Lara Nasreddine, Martine Elbejjani, Martine Elbejjani

“…We examined the associations of concurrent and prior glycemic indicators (Hemoglobin A1c (HbA1c) and fasting blood glucose (FBG) levels) with depression and anxiety symptoms in a community-based sample of middle-aged Lebanese adults.MethodsData come from the Greater Beirut Area Cardiovascular Cohort (GBACC), with baseline and 5-year assessments of sociodemographic, lifestyle, and biological factors (n=198). …”
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Novel Hybrid Function Operational Matrices of Fractional Integration: An Application for Solving Multi-Order Fractional Differential Equations by Seshu Kumar Damarla, Madhusree Kundu

“…In the present study, a novel numerical algorithm is proposed based on orthogonal hybrid functions (HFs), which were constructed as linear combinations of piecewise constant sample-and-hold functions and piecewise linear triangular functions. …”
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Optimization of mathematical processing of calibration curves when determining molecular mass of biologicals by SDS-polyacrylamide gel electrophoresis by V. A. Tomilin, N. L. Ivanyutina, E. V. Elbert, R. A. Volkova

“…In order to assess the molecular weight of the test sample and reference sample components a calibration curve is drawn using protein markers. …”
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The functional average treatment effect by Sparkes Shane, Garcia Erika, Zhang Lu

“…This class of variables is also used to establish mean exchangeability in some cases and to provide the results of elementary statistical procedures, such as linear regression and the analysis of variance, with causal interpretations. …”
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Informal Sector and International Capital Movement: New Evidence from Some Petroleum Countries by Zeddam Ahmed Amine, Dahmani Mohamed Driouche, Hamrit Abdelatif

“…The main aim of this paper is to investigate the effect of the informal economy (IE) on foreign direct investment (FDI) in a sample of petroleum producing countries (Algeria, Norway, the Russian Federation, Saudi Arabia and United States) based on data covering the period of 1991–2018 and using the Non-linear Autoregressive Distribution Lag (NARDL) model. …”
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Electrospun chitosan modified montmorillonite/polyvinyl alcohol nanofibers as suitable coating for fiber-in-tube solid-phase microextraction of trace amounts of tricyclic antidepre... by Saeed Pourhosseini, Yadollah Yamini, Seyedeh Sara Nasrollahi

“…Additionally, coefficients of determination (R²) exceeding 0.9911 were achieved, indicating excellent linearity for the calibration curves. To assess the feasibility of the FIT-SPME-GC–MS method, extraction and analysis of TCAs were performed on plasma and urine samples. …”
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Rapid and sensitive determination of bongkrekic acid with molecularly imprinted polymer-coated wooden-tip electrospray ionization mass spectrometry by Chunfei Zhong, Xinyan Li, Fan Zhang, Ning Liu, Jiewei Deng, Yunyun Yang, Tiangang Luan

“…The practical application of the method was confirmed through the successful analysis of real-world samples, including tap water, wastewater from a food processing factory, and the aqueous extracts of food samples, with BA detected at 0.296 µg/L in Tremella. …”
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Frequency Aliasing-Based Spatial-Wavenumber Filter for Online Damage Monitoring by Bin Liu, Tingzhang Liu, Jianfei Zhao, Dan Hang

“…However, the diameter of piezoelectric transducer (PZT) sensor limits the spatial sampling wavenumber of the linear PZT sensor array, which limits the application of this method because of the Nyquist–Shannon sampling theorem. …”
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Optimizing Data Filtering in Multi-Armed Bandit Algorithms for Reinforcement Learning by Zhang Shengshi

“…It focuses on five algorithms: Epsilon-Greedy (ε- Greedy), Upper Confidence Bound (UCB), Linear Upper Confidence Bound (LinUCB), Thompson Sampling, and Linear Thompson Sampling (LinTS). …”
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空间机械臂关节非线性摩擦建模及补偿 by 付建宁, 詹涵菁, 黄文康

“…Aiming at the non-linear friction problem of spatial robotic arm joints,non-linear friction modeling and compensation methods are proposed.Firstly,the relationships between the non-linear friction and the motor current and the non-linear friction and the angular acceleration are derived based on the established dynamics equations of robotic arm joints.Then,the angular acceleration is estimated based on the Kalman-Newton prediction machine which is designed through the sampled angle signal.Through the angular acceleration and sampling current,the friction torque is calculated,and an exponential friction model is established.Finally,based on the friction model,a feed-forward compensation controller is designed to compensate the non-linear friction.The suitability of this methods is verified via a series of robotic arm joint driving experiments.…”
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The Role of Product Quality and Price in Shaping Consumer Purchasing Decisions at Harvest Chicken Express Glenmore by Muhammad Sholehuddin, Shinta Setiadevi

“…The research method uses a quantitative approach with a survey method with a sample of 40 people. Sampling technique with non-probability sampling technique and incidental sampling approach Multiple linear regression analysis techniques, multiple determination coefficients, F and t-tests,  validity test, reliability test, and classic assumption test (normality test, multicollinearity, and heteroscedasticity) Tests were carried out with the IBM SPSS Statistics 25 software analysis tool. …”
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PENGARUH DIVIDEND PAYOUT RATIO, RETURN ON ASSET DAN EARNING VARIABILITY TERHADAP BETA SAHAM SYARIAH by Sri Kustini, Selvi Pratiwi

“…Populasi dari penelitian ini adalah semua perusahaan yang terdaftar dalam Stock Exchange and the Jakarta Islamic Index. Teknik sampling yang digunakan  adalah purposive sampling. …”
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Self-supervised feature learning for acoustic data analysis by Ahmet Pala, Anna Oleynik, Ketil Malde, Nils Olav Handegard

“…The proposed model is trained with three sampling methods: random sampling, which ignores class imbalance present in the acoustic survey data; class-balanced sampling, which ensures equal representation of known categories; and intensity-based sampling, which selects data to capture backscatter variations. …”
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A Review on Optimal Subsampling Method by Xu Yuan

“…Subsampling based on A/L-optimality serves as a general approach applicable to numerous models, such as generalized linear models along with linear models. It is only in the case of linear models that subsampling founded on D-optimality proves to be more effective in comparison to other methods. …”
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