Expression and functional characterization of an anti-CD22 scFv targeting B-cell malignancies by Monireh Gholizadeh, Shahriyar Abdoli, Shafieeh Mansoori, Arash Arashkia, Farhad Riazi-Rad, Amir Ali Hamidieh, Mohammad Nouri, Zahra Sharifzadeh

“…Background and purpose: Single-chain variable fragments (scFvs) offer advantages over full-length monoclonal antibodies in cancer therapy, including reduced size, lower production costs, and easier handling. …”
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Strategies to scale up the technical, allocative and economic efficiency of major millet growing farmers in India – A primal system approach by Kannan Thomas Felix, K.B. Ramappa, Padma Lakshmi Govindarajan

“…Millet farming, a sustainable and economically viable option for farmers, providing resilience against climate variability and market fluctuations. Despite the increasing significance of millets in agriculture, there is a notable research gap concerning the efficiency of their cultivation and its impact on input demand and costs. …”
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Influences of intelligent predictive networks on thermal efficiency of radiative magnetohydrodynamics hybrid nanofluid flow considering heat absorption-generation aspects by Muhammad Habib Ullah Khan, Waqar Azeem Khan, Taseer Muhammad, Marei S. Alqarni, Hamid Qureshi, Iftikhar Hussain

“…The research on HNFs is on peak and results revealed the efficient heat transfer properties of these liquids which are working as primary agents for industrial use. …”
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Enhancing Indian summer monsoon prediction: Deep learning approach for skillful long-lead forecasts of rainfall by Kalpesh R. Patil, Takeshi Doi, J.V. Ratnam, Swadhin K. Behera

“…The predictions had an anomaly correlation coefficient (ACC) exceeding 0.5 at all the lead times from 2 to 17 months. …”
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Integrating Drone Truthing and Functional Classification of Remote Sensing Time Series for Supervised Vegetation Mapping by Giacomo Quattrini, Simone Pesaresi, Nicole Hofmann, Adriano Mancini, Simona Casavecchia

“…This study proposes an approach to enhance the efficiency of supervised vegetation mapping in complex landscapes, integrating Multivariate Functional Principal Component Analysis (MFPCA) applied to the Sentinel-2 time series with drone-based ground truthing. …”
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Innovative measurement of routine physiological variables (heart rate, respiratory rate and oxygen saturation) using a remote photoplethysmography imaging system: a prospective com... by Eliane Albuisson, Anthony Moussu, Bruno Chenuel, Yohann Bernard, Mathias Poussel, Véronique Saunier

“…Age, gender and skin phototype will also be collected. The intraclass coefficient correlation will be performed to determine the accuracy and precision of the rPPG algorithm readings.Ethics and dissemination The study protocol has been approved by the French Agency for the Safety of Health Products (ANSM registration no. …”
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Optimization of Liquefied Air Energy Storage System Coupled with Organic Rankine Cycle by Jianshe LI, Yihua DONG, Haihua LUO

“…To construct the liquefied air energy storage model coupled with organic Rankine cycle, the system cycle efficiency and the exergy efficiency in the air energy release and generation stage are set as objective functions. …”
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Control of an autonomous wind energy conversion system based on doubly fed induction generator supplying a non-linear load by M. L’Hadj Said, M. Ali Moussa, T. Bessaad

“…This paper presents a variable speed constant frequency (VSCF) autonomous control system to supply isolated loads (linear or non-linear). …”
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Analyzing execution path non-determinism of the Linux kernel in different scenarios by Yucong Chen, Xianzhi Tang, Shuaixin Xu, Fangfang Zhu, Qingguo Zhou, Tien-Hsiung Weng

“…However, the execution path of a system call is effectively non-deterministic in Linux kernel space, which challenges the test coverage-based verification recommended by the functional safety standards. This research analyzes the influence of system state on Linux kernel path variability from two perspectives: file system type and system load. …”
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A functional data analysis approach for modelling frequency‐modulated tonal sounds in animal communication by Maria Silvia Labriola, Petra Oswine Pammer, Giulia Pedrazzi, Giancarlo Giacomini, Giovanna Jona Lasinio, Daniela Silvia Pace

“…Estimated functional coefficients of the regression model suggested that different contextual factors have a significant effect on the FM patterns of SWs. …”
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MEASUREMENT OF ECONOMIC EFFICIENCY OF UPLAND RICE FARMING IN DIFFERENT LAND OWNERSHIP STATUS IN MAUSAMBI VILLAGE, MAUROLE SUB-DISTRICT, ENDE REGENCY by Willybrordus Lanamana

“…The data analysis method used was the production function approach and stochastic frontier cost function. …”
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PROBABILITY ANALYSIS ON LAST PLY FAILURE OF COMPOSITE LAMINATES BASED ON UNIVERSAL GENERATING FUNCTION METHOD by LIU ChengLong, ZHOU JinYu, QIU Rui, ZHUANG BaiLiang, HU Jian

“…In the complex operation of universal generating function, K-means clustering and like terms collecting techniques are used to reduce computational costs and improve efficiency. …”
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Relationship between functional movement screening (FMS) scores and balance and strength performance in young male athletes by Şükran İribalcı, Mert Aydoğmuş, Serkan Revan, Harun Genç

“…Shapiro-Wilk test was applied to determine if the data were normally distributed, Pearson’s correlation coefficient analysis was used measure linear correlation, and Spearman’s rank correlation coefficient (ρ) was determined to measure the strength and direction of correlation between variables. …”
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Development of a Functional Yogurt Containing Probiotics and Phenolic Compounds of Coffee Encapsulated in Alginate Beads by Aurora Viridiana Toalá-Gómez, Claudia Mendoza-Avendaño, Maria Celina Lujan-Hidalgo, Miguel Angel Ruiz-Cabrera, Alicia Grajales-Lagunes, Enna Berenice Estudillo-Diaz, Lucia Maria Cristina Ventura Canseco, Gabriela Palacios-Pola, Miguel Abud-Archila

“…The research considered variables such as alginate concentration (1.5% and 3%), crosslinking time (8 and 20 min), and the inclusion of chitosan. …”
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Some of the personal and functional characteristics of agricultural extension workers and their relation to the level of their performance in Babylon Province by Anhar M.A. Hassan, Majid K. Ali

“…<br />  The researcher recommended that the Directorates responsible for training the staff in order to prepare them and raise the efficiency of their job performance in preparing training courses on the content of their material in the fields of extension work carried out by the workers in agricultural extension taking into consideration the variables that showed a relationship of significant correlation in the preparation of training courses.…”
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Analysis of Stream Function in a Powell-Eyring Fluid Flow with Couple-Stress Effect and Rotation by Rana Ghazi, Liqaa Zeki Hummady

“…In flow analysis, assumptions such as a low Reynolds number and a long wavelength approximation are used. The stream function and mechanical efficiency have closed form expressions devised. …”
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A Novel Multimodal Deep Learning Approach With Loss Function for Detection of Sleep Apnea Events by Alireza Fakhim Babaei, Jafar Tanha, Mohammad Ali Balafar, Seyedehsan Roshan

“…Detecting sleep apnea accurately and efficiently presents several challenges, including variability in physiological signals among individuals and class imbalance for apnea events. …”
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An Integrated Slacks-Based Measure of Super-Efficiency with Input Saving and Output Surplus Scaling Factors and its Application in Paper Chemical Mills by Dong Guo, Zheng-Qun Cai

“…This paper revises the usual slacks-based measure of super-efficiency by incorporating input saving and output surplus scaling factors into the objection function for measuring DMUs. …”
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Correlation between Rainfall and Runoff in Fuchun River Basin Based on Copula Functions and Kernel Density Estimation by YANG Sheng-mei, ZHU De-kang, CHENG Xiang, LI Bo, ZHU Yan-ze, MA Wen-sheng

“…The Gaussian was selected to estimate the marginal distributions of hydrological variables in the Fuchun River Basin, demonstrating higher simulation accuracy without relying on any distribution assumption.(2) By estimating the Kendall and Spearman rank correlation coefficients of the bivariate functions of Gaussian-Copula, t-Copula, Clayton-Copula, Frank-Copula, and Gumbel-Copula, and comparing them with the Kendall and Spearman rank correlation coefficients of the original observed data, it was found that Gaussian-Copula and Gumbel-Copula were closer to the observed data.(3) By calculating the Euclidean distance, the fitting performance of the Copula functions was evaluated. …”
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Comparative study on bivariate statistical characteristics of drought in Shandong using SPI and SPEI by Jian Liu, Jun Xia, Mingsen Wang

“…A comparison of the return period using the bivariate copula function indicated that minor differences existed for the same drought event in the same meteorological station of SPI and SPEI. …”
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