Application of the PDCA cycle in companion diagnostic PD-L1 SP263 immunohistochemical testing by Xiaoying Liu, Feicheng Yang, Kun Wang, Zhe Zhang, Penghui Dai, Jie Zhao, Zhihong Chen

“…The PDCA cycle method was applied, and quality control data before and after its implementation were analyzed and compared. …”
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LoRa: A Proposed Connectivity Technology for Internet of Things Applications in the Kurdistan Region of Iraq by Sarko Salahadin Ahmad, Bakhtiar Ibrahim Saeed

“…The proposed LoRaWAN infrastructure can accommodate a vast range of applications and will revolutionize IoT applications in the KRI as it enables data transmission over a long distance while using extremely low power. …”
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Design optimization and precision requirements of an endcap ion trap for single-ion optical clock applications by Chaowei Wang, Shaoyang Dai, Yani Zuo, Fang Fang

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Study on electrospinning of polyvinyl alcohol nanofibers loaded with carotenoids for enhanced stability and its multifarious applications by Nidhi Soni, Danyalaxmi Roy, Dijit M. Patel, Pinakin Dhandhukia, Janki N. Thakker

“…Abstract The applications of carotenoids in various sectors like the dietary supplement, medicinal, and cosmetic industries encourage scientists to research new natural carotenoids. …”
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Key Factors Shaping Green Logistics in Thailand’s Auto Industry: An Application of Structural Equation Modeling by Wuttichai Youngswaing, Sajjakaj Jomnonkwao, Ekkapong Cheunkamon, Vatanavongs Ratanavaraha

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Coaxial Electrospinning of PCL-PVA Membranes Loaded with N-Heterocyclic Gold Complex for Antitumoral Applications by Raffaele Longo, Luigi Vertuccio, Francesca Aliberti, Annaluisa Mariconda, Marialuigia Raimondo, Pasquale Longo, Liberata Guadagno

“…The correlation of release kinetic data with the morphological evolution and the spectroscopic investigation highlighted how coaxial electrospinning is a promising process for designing drug delivery systems to control the release of active substances over time. …”
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A review on vortex dynamics in the healthy and dilated left ventricles and its application to heart health by Mahesh S. Nagargoje, Eneko Lazpita, Jesús Garicano-Mena, Soledad Le Clainche

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Assessment of the applicability of multi-satellite precipitation products on the Loess Plateau over the past four decades by Rui Liu, Liu Yang, Zhengguo Shi, Mengdao Xing

“…This is attributed to the stable data sources and excellent algorithms used by CPC. …”
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Application of autologous hemopoietic stem cells in inoperable patients with chronic critical lower limb ischemia by I. P. Mikhaylov, N. V. Borovkova, N. E. Kudrjashova, B. V. Kozlovskij, I. N. Ponomarjov, O. V. Leshсhinskaja

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Application of Internet of Things Technology in the Construction of Bored Pile Foundation in a High Altitude Environment by Jiayin Liu, Yang Wang, Yingjun Guo, Zhipeng Chen, Daowei Jiao

“…In order to solve the problem that the current geophysical method is difficult to locate in the mud of bored piles, the problem of effective exploration of karst caves at the bottom of piles, the author puts forward the application of Internet of Things technology and sonar technology in the construction of bored pile foundation in a high altitude environment. …”
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A Compact Dual-Band Antenna for Brain–Machine Interface and Skin-Implantable Biotelemetry Applications by Emtiaz Ahmed Mainul, Md. Faruque Hossain

“…Such wide bandwidths make the antenna less affected by physiological changes among various age groups of people, demonstrating its robust applications in different patients. The gain patterns of the antenna in the E- and H-planes are similar to be omnidirectional and in the off-body direction as required for the telemetry applications. …”
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Applications and Advancements of Spaceborne InSAR in Landslide Monitoring and Susceptibility Mapping: A Systematic Review by Yusen Cheng, Hongli Pang, Yangyang Li, Lei Fan, Shengjie Wei, Ziwen Yuan, Yinqing Fang

“…We also emphasize that further development of dynamic InSAR will require more efficient SAR data management and processing strategies.…”
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The Application of Istisna' Contract in Islamic Micro Finance Institution (Case Study in Islamic Cooperative BMI) by Muhamad Komarudin, M. Rasyid Guntur Pratomo

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An Algorithm for Improving the Condition Number of Matrices and Its Application for Solving the Inverse Problems of Gravimetry and Magnetometry by Alexander Leonov, Dmitry Lukyanenko, Anatoly Yagola, Yanfei Wang

“…A numerical algorithm implementing the proposed approach that is applicable to the stable solution of degenerate and ill-conditioned SLAEs with an approximately given right-hand side is formulated in general form. …”
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A comprehensive study on robust Poisson James–Stein estimator for outlier and multicollinearity: Simulation and applications by Ohud A. Alqasem, Ali T. Hammad, Abdirashid M. Yousuf, E. Lsiddig Idriss Mohamed, Amin M. A. Haleeb, Ahmed M. Gemeay

“…Poisson regression models (PRMs) are widely used for analyzing count data, but their accuracy can be affected by outliers and multicollinearity, leading to unreliable parameter estimates. …”
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Structural and Optical Properties for Nanostructure (Ag2O/Si & Psi) Films for Photodetector Applications by Hamad et al.

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Application of shale oil 2D NMR logging evaluation in Huazhuang area of Gaoyou Sag by ZHANG Fei, LI Qiuzheng, JIANG Aming, DENG Ci

“…The study incorporates the “Blind Source Separation” signal processing technique to perform data clustering analysis. Subsequently, a fluid zone model is applied to determine the fluid content with different movable properties in the reservoir space of the Huazhuang area. …”
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Applicability Analysis of Two Comprehensive Drought Meteorological Indexes in Corn Growth Period of Liaoning Province by CAO Yongqiang, ZHAO Zimeng, ZHANG Dan, REN Bo

“…As an important means of drought monitoring, the drought index is of significance for accurate monitoring of drought evolution characteristics during crop growth, improving agricultural drought prevention and mitigation capabilities, and promoting high and stable crop yields.Liaoning Province is an important grain producer in northeast China, and drought is the main meteorological hazard causing erratic corn production in the region.By employing Liaoning as the study area, the basic meteorological data of 19 meteorological stations from 2001 to 2020 are selected.Meanwhile, the drought meteorological composite index (CI) and meteorological drought composite index (MCI) are calculated to compare and analyze the differences between the two drought indices in drought monitoring during the corn growth period in Liaoning in terms of rainfall, average temperature, drought days, drought intensity, drought frequency, and drought event evolution characteristics, with their applicability analyzed.The results show that the precipitation and temperature trend in Liaoning in recent years is 22.37 mm/10a and 0.45 °C/10a respectively.In corn growth periods, the drought frequency of CI and MCI indices is in the order of pre-growth frequency＞late-growth frequency＞mid-growth frequency, and the drought days and frequency monitored by CI are higher than those by MCI.In spatial distribution, the drought frequency in west and south Liaoning is higher than that in other regions.By comparing the evolution characteristics of drought events with CI and MCI indices, CI shows that the drought intensity is large with long duration and much more unreasonable transition.Meanwhile, MCI has better duration and stability, but its drought intensity is low.Additionally, both the drought indices can reflect the spatio-temporal drought evolution in Liaoning, but their spatial applicability is different.CI is more suitable for drought monitoring in western and northern Liaoning, and MCI is more suitable for drought monitoring in eastern and southern Liaoning.…”
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A standardised comparison of chest and percutaneous drainage catheters to evaluate the applicability of the ‘French’ sizing units by Karan Daga, Graham D. Milward, Daniel Pintos dos Santos, Derek W. Edwards, Hans-Ulrich Laasch

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Spectroscopy-Based Methods and Supervised Machine Learning Applications for Milk Chemical Analysis in Dairy Ruminants by Aikaterini-Artemis Agiomavriti, Maria P. Nikolopoulou, Thomas Bartzanas, Nikos Chorianopoulos, Konstantinos Demestichas, Athanasios I. Gelasakis

“…The objectives of the current review were (i) to describe the most widely applied spectroscopy-based and supervised machine learning methods utilized for the evaluation of milk components, origin, technological properties, adulterants, and drug residues, (ii) to present and compare the performance and adaptability of these methods and their most efficient combinations, providing insights into the strengths, weaknesses, opportunities, and challenges of the most promising ones regarding the capacity to be applied in milk quality monitoring systems both at the point-of-care and beyond, and (iii) to discuss their applicability and future perspectives for the integration of these methods in milk data analysis and decision support systems across the milk value-chain.…”
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