Human Excreta as a Stable and Important Source of Atmospheric Ammonia in the Megacity of Shanghai. by Yunhua Chang, Congrui Deng, Anthony J Dore, Guoshun Zhuang

“…In the present study, the exhausts of 15 ceiling ducts from collecting septic tanks in 13 buildings with 6 function types were selected to quantify NH3 emission rates in the megacity of Shanghai. …”
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Effect of carbon source on the synthesis and antioxidant properties of exopolysaccharides of lactic acid bacteria by Nikitina Elena

“…These findings emphasise the importance of selecting the correct carbon source for maximising lactic acid bacteria functionality. …”
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Continuous-Variable Quantum Key Distribution Protocol Based on Post-Selection by Hao YU, Bao FENG, Zichun PAN, Wenhe ZHUO, Zhenwei LI

“…In the paper, we present a CVQKD protocol based on post-selection method, which need not any extra single photon source. …”
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Cosmological Evolution of Fast Radio Bursts and the Star Formation Rate by Sujay Champati, Vahé Petrosian

“…As is the case for all extragalactic sources, we are dealing with data that are truncated by observational selection effects, the most important being the flux limit, which introduces the so-called Eddington-Malmquist bias. …”
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A Comprehensive Review on Organic Waste Compost as an Effective Phosphorus Source for Sustainable Agriculture by Lady Johanna Boh´orquez-Sandoval, Jos´e Francisco Garc´ıa-Molano, Jos´e Antonio Pascual-Valero, Margarita Ros-Mu˜noz

“…Purpose: The transformation of Organic Waste through composting has become a source of organic matter that, through microbial action, generates molecules conducive to phosphate solubilization and produces fractions of Po and Pi readily available for plants. …”
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An Attomolar-Level Optical Device for Monitoring Receptor–Analyte Interactions Without Functionalization Steps: A Case Study of Cytokine Detection by Nunzio Cennamo, Francesco Arcadio, Chiara Marzano, Rosalba Pitruzzella, Mimimorena Seggio, Maria Pesavento, Stefano Toldo, Antonio Abbate, Luigi Zeni

“…The POF-based device was proven to be effective for detecting several interleukins at the attomolar level in a few minutes and without functionalization processes.…”
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Research on multi-source heterogeneous data fusion system based on device object model by Chen Yunqi

“…Analyze the main electromechanical equipment and attribute information of the mine, establish a unified equipment object model, and develop equipment sensor monitoring data configuration systems for multiple protocols such as PLC, OPC, and TCP. It has functions such as online visualization configuration of equipment object attribute information, autonomous selection of collection protocols, and adaptive configuration of distributed parsing services. …”
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Characteristics and Source-specific Health Risks of Ambient PM2.5-bound PAHs in an Urban City of Northern Taiwan by Yu-Chieh Ting, Chun-Hung Ku, Yu-Xuan Zou, Kai-Hsien Chi, Jhy-Charm Soo, Chin-Yu Hsu, Yu-Cheng Chen

“…We utilized a positive matrix factorization (PMF) model, diagnostic ratios, and potential source contribution function (PSCF) to identify the origins of PM2.5-bound PAHs. …”
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Optimal Sequencing Control of Variable-speed Air-source Heat Pumps in Office Building by Liu Zhaohui, Li Zhenyu, Tan Hongwei, Xu Wen, Feng Wenbo, Yi Biyi

“…In this paper, to improve the energy efficiency of the air-source heat pumps, an optimal sequencing control strategy is presented, taking an office building as an example. …”
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Color Reproduction of Chinese Painting Under Multi-Angle Light Source Based on BRDF by Xinting Li, Jie Feng, Jie Liu

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Hepatoprotective Effect of Kaempferol: A Review of the Dietary Sources, Bioavailability, Mechanisms of Action, and Safety by Maulana Yusuf Alkandahri, Barolym Tri Pamungkas, Zulpakor Oktoba, Mareetha Zahra Shafirany, Lela Sulastri, Maya Arfania, Ebta Narasukma Anggraeny, Ade Pratiwi, Fitri Dwi Astuti, null Indriyani, Siti Yuliani Dewi, Salsa Zulfa Hamidah

“…The liver is the body’s most critical organ that performs vital functions. Hepatic disorders can affect the physiological and biochemical functions of the body. …”
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HYDRAULIC ELEVATOR INSTALLATION ESTIMATION FOR THE WATER SOURCE WELL SAND-PACK CLEANING UP by V. V. Ivashechkin

“…The article offers design of a hydraulic elevator installation for cleaning up water-source wells of sand packs. It considerers the installation hydraulic circuit according to which the normal pump feeds the high-level tank water into the borehole through two parallel water lines. …”
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Prostruc: an open-source tool for 3D structure prediction using homology modeling by Shivani V. Pawar, Wilson Sena Kwaku Banini, Musa Muhammad Shamsuddeen, Toheeb A. Jumah, Nigel N. O. Dolling, Abdulwasiu Tiamiyu, Olaitan I. Awe

“…IntroductionHomology modeling is a widely used computational technique for predicting the three-dimensional (3D) structures of proteins based on known templates,evolutionary relationships to provide structural insights critical for understanding protein function, interactions, and potential therapeutic targets. …”
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Using machine learning techniques for DSP software performance prediction at source code level by Weihua Liu, Erh-Wen Hu, Bogong Su, Jian Wang

“…Therefore, we propose a new algorithm called MAX/MIN algorithm to select the best-predicted execution time. To validate the new model, we measure experimentally the execution time of a set of functions selected from PHY DSP Benchmark and run them on TIC64 DSP processor. …”
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Fruits of Polish Medicinal Plants as Potential Sources of Natural Antioxidants: Ellagic Acid and Quercetin by Agnieszka Szmagara, Agnieszka Krzyszczak-Turczyn, Ilona Sadok

“…Due to their antioxidant and other beneficial properties, polyphenol-rich plants are important functional foods. The purpose of the study was to evaluate the content of two polyphenols—ellagic acid and quercetin—in fruits of wild medicinal plants of Polish origin, as potential sources of these compounds. …”
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PyAMARES, an Open-Source Python Library for Fitting Magnetic Resonance Spectroscopy Data by Jia Xu, Michael Vaeggemose, Rolf F. Schulte, Baolian Yang, Chu-Yu Lee, Christoffer Laustsen, Vincent A. Magnotta

“…This study introduces pyAMARES, an open-source Python implementation of AMARES, addressing the need for a flexible, user-friendly, and versatile MRS quantification tool within the Python ecosystem. …”
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Source Type Recognition Algorithm of Radio Emission using Radial Basis Functions by V. F. Korotkov, R. S. Zyryanov

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An enhancement filter utilizing the modified arctangent function for the structural and tectonic interpretation of causative sources: Application to WGM2012 gravity data from the R... by Fengjun WU, Xin-Ai XU

“…In this study, we propose the Modified Arctangent Function (MAT), which enhances gravity source edge detection by integrating the total horizontal gradient with a modified arctangent function. …”
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Source Detection and Functional Connectivity of the Sensorimotor Cortex during Actual and Imaginary Limb Movement: A Preliminary Study on the Implementation of eConnectome in Motor Imagery Protocols by Alkinoos Athanasiou, Chrysa Lithari, Konstantina Kalogianni, Manousos A. Klados, Panagiotis D. Bamidis

“…Event-Related Desynchronization/Synchronization (ERD/ERS) of the mu-rhythm was used to evaluate MI performance. Source detection and FCNs were studied with eConnectome. …”
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Feature dependence graph based source code loophole detection method by Hongyu YANG, Haiyun YANG, Liang ZHANG, Xiang CHENG

“…Given the problem that the existing source code loophole detection methods did not explicitly maintain the semantic information related to the loophole in the source code, which led to the difficulty of feature extraction of loo-phole statements and the high false positive rate of loophole detection, a source code loophole detection method based on feature dependency graph was proposed.First, extracted the candidate loophole statements in the function slice, and gen-erated the feature dependency graph by analyzing the control dependency chain and data dependency chain of the candi-date loophole statements.Secondly, the word vector model was used to generate the initial node representation vector of the feature dependency graph.Finally, a loophole detection neural network oriented to feature dependence graph was constructed, in which the graph learning network learned the heterogeneous neighbor node information of the feature de-pendency graph and the detection network extracted global features and performed loophole detection.The experimental results show that the recall rate and F1 score of the proposed method are improved by 1.50%～22.32% and 1.86%～16.69% respectively, which is superior to the existing method.…”
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