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Role of dietary gamma-aminobutyric acid in broiler chickens raised under high stocking density

Animal Nutrition 2020年第3期6卷 293-304页

作者： Su-Been Jeong yoo bhin kim Jeong-Woo Lee Da-Hye kim Byung-Hern Moon Hong-Hee Chang Yang-Ho Choi Kyung-Woo Lee Department of Animal Science and Technology Konkuk UniversitySeoul05029Republic of korea CellTech Co. Ltd.Chungbuk27622Republic of Korea Department of Animal Science Gyeongsang National Universityjinju52828Republic of Korea

The present study was conducted to evaluate the effects of dietary gamma-aminobutyric acid(GABA)in broiler chickens raised in high stocking density(HSD)on performance and physiological responses.A total of 900 male broiler chicks(Ross 308)at 1 d old were assigned in a 2×2 factorial arrangement to 4 treatments(10 replicates per treatment)with stocking density,7.5 birds/m^2(low stocking density;LSD)or 15 birds/m^2(HSD),and dietary GABA,0 or 100 mg/*** raised in HSD exhibited a decrease in body weight gain in all phases(P<0.05)and feed intake in starter and whole phases(P<0.01),and an increase in feed conversion ratio in the finisher phase(P<0.01)compared with LSD-raised ***,dietary GABA did not affect growth performance nor interacted with stocking density on production *** HSD *** increased relative liver weight on d 35 whereas dietary GABA increased relative liver weight and decreased relative bursa weight on d *** stocking density and dietary GABA affected yield and quality of breast and leg *** GABA increased(P<0.05)width of tibia on d 35 and interacted(P=0.054)with stocking density on breaking stocking density on d *** HSD *** group lowered(P<0.05)feather coverage *** interaction between stocking density and GABA on surface temperature of shank on d 21 was noted(P=0.024).Dietary GABA exhibited an opposite effect on the concentrations of cecal short-chain fatty acids depending on stocking density leading to a moderate to significant *** density decreased alpha-1-acid glycoprotein whereas dietary GABA decreased heterophil-to-lymphocyte ratio and corticosterone in blood or serum *** biochemical parameters were altered by stocking density or dietary *** is concluded that dietary GABA alleviated stress indices including corticosterone and heterophilto-lymphocyte ratio,but failed to reverse stocking density-induced growth depression.

关键词： Gamma-aminobutyric acid Stocking density Growth performance Stress indicator Broiler chicken

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Ag-GST/HfO_(x)-based unidirectional threshold switching selector with low leakage current and threshold voltage distribution for high-density cross-point arrays

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Rare Metals 2024年第1期43卷 280-288页

作者： Kyoung-Joung yoo Dae-Yun Kang Nahyun kim Ho-Jin Lee Ta-Hyeong kim Taeho kim Tae Geun kim School of Electrical Engineering Korea UniversitySeoul 02841Republic of Korea

The use of electrochemical-metallization-based volatile threshold switching selectors in cross-point arrays has been widely explored owing to their high on-off ratios and simple ***,these devices are unsuitable for cross-point architectures because of the difficulty in controlling the random filament formation that results in large fluctuations in the threshold voltage during *** this study,we investigated the unidirectional threshold transition characteristics associated with an Ag/GST/HfO_(x)/Pt-based bilayer selector and demonstrated the occurrence of a low leakage current(<1×10^(-11) A) and low distribution of the threshold voltage(Δ0.11 V).The bilayer structure could control the filament formation in the intermediate state through the insertion of an HfO_(x) tunneling *** stacking a bilayer selector with NiO_(x)based resistive random-access memory,the leakage and programming currents of the device could be significantly *** the crossbar array configuration,we performed equivalent circuit analysis of a one-selector oneresistor(1S1R) devices and estimated the optimal array size to demonstrate the applicability of the proposed *** maximum acceptable crossbar array size of the 1S1R device with the Ag/GST/HfO_(x)/Pt/Ti/NiO_(x)/Pt structure was 5.29×10^(14)(N^(2),N=2.3×10^(7)).

关键词： Selector device Tunneling barrier Threshold switching Sputtering 1S1R Cross-point array

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Performance of the EDACS-ADP incorporating high-sensitivity troponin assay:Do components of major adverse cardiac events matter?

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World Journal of Emergency Medicine 2024年第3期15卷 175-180页

作者： Yedalm yoo Shin Ahn Bora Chae Won Young kim Department of Emergency Medicine Asan Medical CenterUniversity of Ulsan College of MedicineSeoul 05505Republic of Korea

BACKGROUND:The accelerated diagnostic protocol(ADP)using the Emergency Department Assessment of Chest pain Score(EDACS-ADP),a tool to identify patients at low risk of a major adverse cardiac event(MACE)among patients presenting with chest pain to the emergency department,was developed using a contemporary troponin *** study was performed to validate and compare the performance of the EDACS-ADP incorporating high-sensitivity cardiac troponin I between patients who had a 30-day MACE with and without unstable angina(MACE I and II,respectively).METHODS:A single-center prospective observational study of adult patients presenting with chest pain suggestive of acute coronary syndrome was *** performance of EDACS-ADP in predicting MACE was assessed by calculating the sensitivity and negative predictive ***:Of the 1,304 patients prospectively enrolled,399(30.6%;95%confidence interval[95%CI]:27.7%–33.8%)were considered low-risk using the *** them,the rates of MACE I and II were 1.3%(5/399)and 1.0%(4/399),*** EDACS-ADP showed sensitivities and negative predictive values of 98.8%(95%CI:97.2%–99.6%)and 98.7%(95%CI:97.0%–99.5%)for MACE I and 98.7%(95%CI:96.8%–99.7%)and 99.0%(95%CI:97.4%–99.6%)for MACE II,***:EDACS-ADP could help identify patients as safe for early ***,when unstable angina was added to the outcome,the 30-day MACE rate among the designated lowrisk patients remained above the level acceptable for early discharge without further evaluation.

关键词： Chest pain Major adverse cardiac event Acute coronary syndrome Emergency department

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Defect Detection Model Using Time Series Data Augmentation and Transformation

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Computers, Materials & Continua 2024年第2期78卷 1713-1730页

作者： Gyu-Il kim Hyun yoo Han-Jin Cho Kyungyong Chung Department of Computer Science Kyonggi UniversitySuwon-si16227Korea Contents Convergence Software Research Institue Kyonggi UniversitySuwon-si16227Korea Department of Energy IT Engineering Far East UniversityEumsung-gun27601Korea Division of AI Computer Science and Engineering Kyonggi UniversitySuwon-si16227Korea

Time-series data provide important information in many fields,and their processing and analysis have been the focus of much ***,detecting anomalies is very difficult due to data imbalance,temporal dependence,and ***,methodologies for data augmentation and conversion of time series data into images for analysis have been *** paper proposes a fault detection model that uses time series data augmentation and transformation to address the problems of data imbalance,temporal dependence,and robustness to *** method of data augmentation is set as the addition of *** involves adding Gaussian noise,with the noise level set to 0.002,to maximize the generalization performance of the *** addition,we use the Markov Transition Field(MTF)method to effectively visualize the dynamic transitions of the data while converting the time series data into *** enables the identification of patterns in time series data and assists in capturing the sequential dependencies of the *** anomaly detection,the PatchCore model is applied to show excellent performance,and the detected anomaly areas are represented as heat *** allows for the detection of anomalies,and by applying an anomaly map to the original image,it is possible to capture the areas where anomalies *** performance evaluation shows that both F1-score and Accuracy are high when time series data is converted to ***,when processed as images rather than as time series data,there was a significant reduction in both the size of the data and the training *** proposed method can provide an important springboard for research in the field of anomaly detection using time series ***,it helps solve problems such as analyzing complex patterns in data lightweight.

关键词： Defect detection time series deep learning data augmentation data transformation

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N,P co-doped 3D porous carbon with self-assembled morphological control via template-free method for potassiumion battery anodes

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Rare Metals 2024年第9期43卷 4243-4252页

作者： Jeehoon Yu Dae Kyom kim Hong Geun Oh Seung-Keun Park Youngjae yoo Department of Advanced Materials Engineering Chung-Ang UniversityAnseong-si 17546Republic of Korea

The larger ionic radius of potassium ions than that of lithium ions significantly limits the accomplishment of rapid diffusion kinetics in graphite electrodes for potassium-ion batteries(PIBs),resulting in comparatively poor rate performance and cycle ***,we report a high-rate performance and cycling stability amorphous carbon electrode achieved through nitrogen and phosphorous *** as-prepared N,P co-doped carbon electrodes have distinct 3D structures with large surface areas,hierarchical pore architectures,and increased interlayer spaces resulting from the direct pyrolysis of supramolecular self-assembled aggregates without *** obtained electrode N3P1 exhibits a reversible specific capacity of 258 m Ah·g^(-1)at a current density of 0.1A·g^(-1)and a good long-term cycle performance(96.1%capacity retention after 800 cycles at 0.5 A·g^(-1)).Kinetic investigations show that the N3P1 electrode with the welldeveloped porous structure and large number of surface defects exhibits capacitive-driven behavior at all scan rates,which may be attributed by N and P ***-situ transmission electron microscopy analyses in the fully discharged and charged states demonstrate structural stability and reversibility owing to the expanded interlayer *** suggested synthesis approach is simple and effective for producing heteroatom-doped carbon materials for PIBs and other advanced electrochemical energy storage materials.

关键词： Amorphous carbons 3D porous structures Nitrogen and phosphorous co-doping Potassium-ion batteries

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Understanding acute kidney injury (AKI) in liver cirrhosis from the acute-on-chronic liver failure (ACLF) perspective

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Hepatobiliary Surgery and Nutrition 2024年第4期13卷 715-717页

作者： Jeong-Ju yoo Sang Gyune kim Division of Gastroenterology and Hepatology Department of Internal MedicineSoonchunhyang University School of Medicine Bucheon HospitalBucheonKorea

In the field of hepatology,managing complications in patients with liver diseases is of paramount *** these,acute kidney injury(AKI)in patients with acute-on-chronic liver failure(ACLF)stands out due to its prevalence and significant impact on patient outcomes(1,2).AKI in ACLF differs substantially from AKI in simple liver cirrhosis in its clinical significance(3).AKI developed in ACLF is a manifestation of a multi-organ failure syndrome and is closely associated with a high mortality rate and severe complications.

关键词： Acute kidney injury(AKI) acute-on-chronic liver failure(ACLF) biomarker

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Understanding of the Relationship between the Properties of Cu(In,Ga)Se_(2)Solar Cells and the Structure of Ag Network Electrodes

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Energy & Environmental Materials 2024年第6期7卷 246-253页

作者： Hyesun yoo Hoang Van Quy Inpyo Lee Seung Taek Jo Tae Ei Hong JunHo kim Dae-Hwang yoo Jinwook Shin Walter Commerell Dae-Hwan kim Jong Wook Roh Regional Leading Research Center(RLRC)of Smart Energy System Kyungpook National UniversityGyeongsangbuk-do 37224Korea Division of Energy Technology DaeguGyeongbuk Institute of Science and Technology(DGIST)Daegu 42988Korea Department of Hydrogen and Renewable Energy Kyungpook National UniversityDaegu 47922Korea Nano Photoelectronic Device Lab Department of PhysicsIncheon National UniversityIncheon 22012Korea Institute for Energy and Drive Technology Technische Hochschule Ulm(THU)Ulm 89081Germany Department of Nano&Advanced Materials Science and Engineering Kyungpook National UniversityGyeongsangbuk-do 37224Korea

The relation between the structure of the silver network electrodes and the properties of Cu(In,Ga)Se_(2)(CIGS)solar cells is systemically *** Ag network electrode is deposited onto an Al:ZnO(AZO)thin film,employing a self-forming cracked *** control over the cracked template's structure is achieved through careful adjustment of temperature and *** Ag network electrodes with different coverage areas and network densities are systemically applied to the CIGS solar *** is revealed that predominant fill factor(FF)is influenced by the figure of merit of transparent conducting electrodes,rather than sheet resistance,particularly when the coverage area falls within the range of 1.3–5%.Furthermore,a higher network density corresponds to an enhanced FF when the coverage areas of the Ag networks are *** utilizing a thinner AZO film,CIGS solar cells with a surface area of 1.0609 cm^(2)exhibit a notable performance improvement,with efficiency increasing from 10.48%to 11.63%.This enhancement is primarily attributed to the increase in FF from 45%to 65%.These findings underscore the considerable potential for reducing the thickness of the transparent conductive oxide(TCO)in CIGS modules with implications for practical applications in photovoltaic technology.

关键词： CIGS large-area solar cell metal mesh metallic network transparent electrode

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Machine-learned wearable sensors for real-time hand-motion recognition: toward practical applications

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National Science Review 2024年第2期11卷 231-263页

作者： Kyung Rok Pyun Kangkyu Kwon Myung Jin yoo Kyun Kyu kim Dohyeon Gong Woon-Hong Yeo Seungyong Han Seung Hwan Ko Department of Mechanical Engineering Seoul National University IEN Center for Human-Centric Interfaces and Engineering Institute for Electronics and NanotechnologyGeorgia Institute of Technology School of Electrical and Computer Engineering Georgia Institute of Technology Department of Chemical Engineering Stanford University Department of Mechanical Engineering Ajou University George W.Woodruff School of Mechanical Engineering Georgia Institute of Technology Institute of Advanced Machinery and Design(SNU-IAMD) Seoul National University

Soft electromechanical sensors have led to a new paradigm of electronic devices for novel motion-based wearable applications in our daily lives. However, the vast amount of random and unidentified signals generated by complex body motions has hindered the precise recognition and practical application of this technology. Recent advancements in artificial-intelligence technology have enabled significant strides in extracting features from massive and intricate data sets, thereby presenting a breakthrough in utilizing wearable sensors for practical applications. Beyond traditional machine-learning techniques for classifying simple gestures, advanced machine-learning algorithms have been developed to handle more complex and nuanced motion-based tasks with restricted training data sets. Machine-learning techniques have improved the ability to perceive, and thus machine-learned wearable soft sensors have enabled accurate and rapid human-gesture recognition, providing real-time feedback to users. This forms a crucial component of future wearable electronics, contributing to a robust human–machine interface. In this review, we provide a comprehensive summary covering materials, structures and machine-learning algorithms for hand-gesture recognition and possible practical applications through machine-learned wearable electromechanical sensors.

关键词： wearable sensor soft electronics artificial intelligence machine learning human–machine interfaces gesture recognition

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Long cycle-life aqueous Zn battery enabled by facile carbon nanotube coating on Cu current collector

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Carbon Energy 2024年第6期6卷 151-164页

作者： Beom-Keun Cho Sung-Ho Huh So Hee kim Seungho Yu Jong-Seong Bae Jung-Keun yoo Seung-Ho Yu Department of Chemical and Biological Engineering Korea UniversitySeoulRepublic of Korea Advanced Analysis Center Korea Institute of Science and Technology(KIST)SeoulRepublic of Korea Energy Storage Research Center Korea Institute of Science and Technology(KIST)SeoulRepublic of Korea KIST School Division of Energy and Environment TechnologyKorea University of Science and TechnologySeoulRepublic of Korea Busan Center Korea Basic Science Institute(KBSI)BusanRepublic of Korea Carbon Composites Department Composites Research DivisionKorea Institute of Materials Science(KIMS)ChangwonRepublic of Korea

As an alternative to Li-ion batteries,aqueous Zn batteries have gained attention due to the abundance of Zn metal,low reduction potential(-0.76 V *** hydrogen electrode),and high theoretical capacity(820 mAh g^(-1))of multivalent Zn2+***,the growth of Zn dendrites and the formation of irreversible surface reaction byproducts pose challenges for ensuring a long battery lifespan and ***,the Cu foil coated with a single-walled carbon nanotube(SWCNT)layer using a facile doctor blade casting method is *** SWCNT-coated Cu foil demonstrates a significantly longer battery lifespan compared to the bare Cu in the half-cell *** operando optical microscopy imaging,we are able to provide intuitive evidence that Zn deposition occurs between the carbon nanotube(CNT)coating and Cu substrate,in agreement with the computational ***,with various imaging techniques,the flat morphology and homogeneous distribution of Zn beneath the SWCNT layer are *** addition,the full-cell using CNT-coated Cu exhibits a long cycle life compared to the control group,thereby demonstrating improved electrochemical performance with limited Zn for the cycling process.

关键词： aqueous Zn battery carbon nanotube operando imaging surface coating

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Electronic structure tuning of layered double hydroxides for electrochemical sensing and its biomedical applications

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Science China Chemistry 2024年第11期67卷 3614-3630页

作者： Kun Wang Zhiying Cao Qihang Ding Jiyoung yoo Nem Singh Heemin Kang Lin Wang Lin Xu Jong Seung kim School and Hospital of Stomatology Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling Jilin University State Key Laboratory on Integrated Optoelectronics Collage of Electronic Science and Engineering Jilin University Department of Chemistry Korea University Department of Materials Science and Engineering Korea University

Modifying the electrodes of electrochemical sensors is critical to enhance sensitivity, selectivity, and stability, ultimately improving both their effectiveness and performance. In this paper, recent advancements in electrochemical sensors are reviewed,focusing on the utilization of layered double hydroxides(LDHs). The first section explores the advantageous and disadvantageous aspects of electrochemical sensing. Benefits include rapid response, ease of operation, and cost-effectiveness,while drawbacks concern the potential instability of prolonged use, susceptibility to interference, and the risk of biomolecule inactivation. Following this, the second section delves into the synthesis, constituents, and structure of LDHs. Moreover, after introducing the chemical mechanisms and functions of LDHs in electrochemical sensors, we concentrate on diverse modifying materials of LDHs and their different performances. Finally, the applications of LDHs in electrochemical sensing across different fields are discussed. This review aims to facilitate the continued advancement for applying LDHs in electrochemical sensors, as well as inspire the evolution of electrochemical sensing technology.

关键词： layered double hydroxides electrochemical sensor biological field modified electrode

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