Effect of feeding a diet comprised of various corn silages inclusion with peanut vine or wheat straw on performance, digestion, serum parameters and meat nutrients in finishing beef cattle

Zhang Hongrui,Zhang Liyang,Xue Xiao,Zhang Xiaoxia,Wang Hongyi,Gao Tengyun,Phillips Clive 아세아·태평양축산학회 2022 Animal Bioscience Vol.35 No.1

Objective: The objective of this study was to compare the feeding value, meat nutrients and associative effects of a diet comprised of various corn silages inclusion with peanut vine or wheat straw in finishing beef cattle. Methods: One hundred and eighty Simmental crossbred beef steers were blocked and assigned to the follow treatments: i) whole plant corn silage-based diet (control, WPCS), ii) mixed forages-based diet (replacing a portion of corn silage with wheat straw, WPCSW), iii) corn stalklage-based diet (CS), and iv) sweet corn stalklage-based diet (SCS). Each group consisted of 5 repeated pens with 9 steers/pen. The diets were formulated to be isonitrogenous and isoenergetic with same forage to concentrate ratio. Experimental diets were fed for 90 d. Results: The effective ruminal degradability of dry matter and crude protein were highest for WPCS diet (p<0.05), for neutral detergent fiber was highest in SCS diet (p<0.05). The average daily gain was greater for cattle offered the WPCS diet, intermediate with WPCSW and SCS and lowest with CS (p<0.001). The concentration of non-esterified fatty acid in serum was higher for steers fed with CS and SCS diets than those offered WPCS and WPCSW steers (p<0.001). The treatments did not affect the general nutritional contents and amino acids composition of Longissimus dorsi of steers (p>0.05). Conclusion: The corn silage-based diet exhibited the highest feeding value. The sweet corn stalklage and wheat straw as an alternative to corn silage offered to beef cattle had limited influence on feeding value and meat nutrients. However, the value of a corn stalklage-based diet was relatively poor. To sum up, when the high quality forage resources, such as corn silage, are in short supply, or the growth rate of beef cattle decreases in the later finishing period, the sweet stalklage and wheat straw could be used as a cheaper alternative in feedlot cattle diet without sharp reducing economic benefits. Objective: The objective of this study was to compare the feeding value, meat nutrients and associative effects of a diet comprised of various corn silages inclusion with peanut vine or wheat straw in finishing beef cattle.Methods: One hundred and eighty Simmental crossbred beef steers were blocked and assigned to the follow treatments: i) whole plant corn silage-based diet (control, WPCS), ii) mixed forages-based diet (replacing a portion of corn silage with wheat straw, WPCSW), iii) corn stalklage-based diet (CS), and iv) sweet corn stalklage-based diet (SCS). Each group consisted of 5 repeated pens with 9 steers/pen. The diets were formulated to be isonitrogenous and isoenergetic with same forage to concentrate ratio. Experimental diets were fed for 90 d.Results: The effective ruminal degradability of dry matter and crude protein were highest for WPCS diet (p<0.05), for neutral detergent fiber was highest in SCS diet (p<0.05). The average daily gain was greater for cattle offered the WPCS diet, intermediate with WPCSW and SCS and lowest with CS (p<0.001). The concentration of non-esterified fatty acid in serum was higher for steers fed with CS and SCS diets than those offered WPCS and WPCSW steers (p<0.001). The treatments did not affect the general nutritional contents and amino acids composition of Longissimus dorsi of steers (p>0.05).Conclusion: The corn silage-based diet exhibited the highest feeding value. The sweet corn stalklage and wheat straw as an alternative to corn silage offered to beef cattle had limited influence on feeding value and meat nutrients. However, the value of a corn stalklage-based diet was relatively poor. To sum up, when the high quality forage resources, such as corn silage, are in short supply, or the growth rate of beef cattle decreases in the later finishing period, the sweet stalklage and wheat straw could be used as a cheaper alternative in feedlot cattle diet without sharp reducing economic benefits.

An Optical Intense 2D Electric Field Sensor Using a Single LiNO 3 Crystal

Yuanying Zhang,Jiahong Zhang,Yingna Li,Hongyi Lei 한국광학회 2022 Current Optics and Photonics Vol.6 No.2

Based on the linear electro-optic (EO) effect of lithium niobite (LiNbO 3 , LN) crystal, an intense twodimensional (2D) electric field sensor was analyzed, fabricated and experimentally demonstrated. The linear polarized light beam transmits along the optical axis (z-axis) of the LN crystal, and the polarization direction of the polarized light is 45° to the y-axis. The sensor can detect the intensity of a 2D electric field that is perpendicular to the z-axis. Experimental results demonstrated that the minimum detectable electric field of the sensor is 10.5 kV/m. The maximum detected electric field of the sensor is larger than 178.9 kV/m. The sensitivity of the sensor is 0.444 mV/(kV·m −1 ). The variation of the sensitivity is within ±0.16 dB when the sensor is rotated around a z-axis from 0° to 360°. The variation of the sensoroutput optical power is within ±1.4 dB during temperature change from 19 ℃ to 26 ℃ in a day (from 7:00 AM to 23:00 PM) and temperature change from 0 ℃ to 40 ℃ in a controllable temperature chamber. All theoretical and experimental results revealed that the fabricated sensor provides technology for the direct detection of intense 2D electric fields.

Detection of Strawberry Mottle Virus by RT-PCR

Hongyi Yang,Zhihong Zhang,Hongyan Dai,He Li 한국원예학회 2006 한국원예학회 기타간행물 Vol.- No.-

An Optimization Method for the Calculation of SCADA Main Grid's Theoretical Line Loss Based on DBSCAN

Hongyi Cao,Qiaomu Ren,Xiuguo Zou,Shuaitang Zhang,Yan Qian 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.5

In recent years, the problem of data drifted of the smart grid due to manual operation has been widely studiedby researchers in the related domain areas. It has become an important research topic to effectively and reliablyfind the reasonable data needed in the Supervisory Control and Data Acquisition (SCADA) system has becomean important research topic. This paper analyzes the data composition of the smart grid, and explains the powermodel in two smart grid applications, followed by an analysis on the application of each parameter in densitybasedspatial clustering of applications with noise (DBSCAN) algorithm. Then a comparison is carried out forthe processing effects of the boxplot method, probability weight analysis method and DBSCAN clusteringalgorithm on the big data driven power grid. According to the comparison results, the performance of theDBSCAN algorithm outperforming other methods in processing effect. The experimental verification showsthat the DBSCAN clustering algorithm can effectively screen the power grid data, thereby significantlyimproving the accuracy and reliability of the calculation result of the main grid’s theoretical line loss.

Levonorgestrel-releasing intrauterine system-based therapies for early- stage endometrial cancer: a systematic review and meta-analysis

Hongyi Wei,Ningning Pan,Wen Zhang,Guangwu Xiong,Wenping Guo,Zhe Dong,Caihong Ma 대한부인종양학회 2023 Journal of Gynecologic Oncology Vol.34 No.2

Objective: To conduct a systematic review and meta-analysis of studies evaluating the oncological and fertility outcomes of early-stage endometrial cancer (EC) treated with the levonorgestrel-releasing intrauterine system (LIUS)-based regimens. Methods: The Meta-analyses Of Observational Studies in Epidemiology statement for meta-analyses was followed. Searches were conducted on MEDLINE, Embase, PubMed, Preprints, and the Cochrane Central Register of Controlled Trials from January 1990 to August 4, 2022. The Joanna Briggs Institute Critical Appraisal Checklist was used for quality assessment. The primary endpoint was the complete response (CR) rate and the secondary endpoints were relapse, pregnancy, and live birth rate. Results: A total of 25 studies (821 women) were included. The CR rate of LIUS-based regimens was 63.4% (95% confidence interval [CI]=52.3%–73.2%), with 29.6% (95% CI=23.3%–36.8%) of cases experiencing recurrence during follow-up. In sensitivity analyses, patients younger than 45 years of age with a body mass index <30 kg/m2 who were treated with LIUS-based regimens achieved a high CR rate of 84.6% (95% CI=80.3%–88.1%) over a median follow-up of more than 24 months. Overall pregnancy and live birth rates were 37.9% (95% CI=24.1%–53.9%) and 39.3% (95% CI=24.0%–57.0%), respectively. No statistical differences were apparent in CR or relapse rates among the LIUS+GnRH agonist, LIUS+oral progesterone, or hysteroscopic resection followed by LIUS subgroups. Conclusion: LIUS-based therapies are viable for the conservative management of early-stage endometrioid EC on CR and fertility outcome.

The molecular characteristics of two metallothioneins in Ostrinia furnacalis and expression under conditions of heavy metal stress

Zhang Jiali,Guo Xin,Xu Fanshu,Chen Lihui,Wei Hongyi 한국응용곤충학회 2023 Journal of Asia-Pacific Entomology Vol.26 No.1

Metallothioneins are ubiquitously-expressed metal-binding proteins. Despite their potential ecological relevance, no prior reports have identified any metallothioneins in Ostrinia furnacalis or other Lepidoptera species. A better understanding of the molecular characteristics and regulatory dynamics of metallothionein genes in O. furnacalis under heavy metal stress conditions would enable future studies of the roles played by these proteins in the context of heavy metal detoxification. Herein, we identified and characterized two metallothionein (OfMT) genes in O. furnacalis, including the 147 bp OfMT1 gene encoding a 48 amino acid protein containing 10 cysteine residues, and the 141 bp OfMT2 gene encoding a 46 amino acid protein containing 12 cysteine residues. The expression of OfMT2 was found to be related to Cu and Cd concentrations in a dose-dependent manner but was unaffected by Zn exposure. Overall, these results indicate that OfMT genes likely encode metal-binding proteins consistent with their potential role in the maintenance of heavy metal homeostasis.

A novel optical aerosol detector utilizing an optic fiber with conductive polymer coating

Qin, Hongyi,Kulkarni, Atul,Zhang, Hang,Jiang, Dong,Kim, Taesung Elsevier 2012 Journal of aerosol science Vol.45 No.-

<P><B>Abstract</B></P><P>The detection of atmospheric aerosol particles is becoming an important issue in many fields such as environmental science, occupational medicine, semiconductor industry and material science. In the present paper, we utilized the conductive polymer, polypyrrole (PPy), as a sensitive membrane for detecting aerosol particles optically. A polymer optical fiber reflectance probe is constructed by depositing the PPy nanofilm at the end face of the fiber. The sensor principle relies on the change in the refractive index of the PPy nanofilm upon its interaction with aerosol nanoparticles and on the electrostatic induction between aerosol particles and the PPy nanofilm, which leads to a change in the reflected intensity. For preliminary evaluation of optical aerosol detector, three types of aerosol particles, NaCl, black carbon (BC) and polystyrene latex (PSL), are selected. The fabricated fiber optic reflectance probe using the PPy nanofilm shows distinct variations in the reflected light intensity depending on the type of aerosol particle and its properties. The proposed sensing approach may promote the use of conductive polymers in optical techniques for the detection of atmospheric aerosols.</P> <P><B>Highlights</B></P><P>► A novel optical fiber sensor based on the polypyrrole nanofilm for aerosol detection. ► The electrostatic induction between aerosol particles and polypyrrole nanofilm is utilized as the detection mechanism. ► This novel optical detection approach shows a good sensitivity for the aerosol detection.</P>

An Optimization Method for the Calculation of SCADA Main Grid's Theoretical Line Loss Based on DBSCAN

Cao, Hongyi,Ren, Qiaomu,Zou, Xiuguo,Zhang, Shuaitang,Qian, Yan Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.5

In recent years, the problem of data drifted of the smart grid due to manual operation has been widely studied by researchers in the related domain areas. It has become an important research topic to effectively and reliably find the reasonable data needed in the Supervisory Control and Data Acquisition (SCADA) system has become an important research topic. This paper analyzes the data composition of the smart grid, and explains the power model in two smart grid applications, followed by an analysis on the application of each parameter in density-based spatial clustering of applications with noise (DBSCAN) algorithm. Then a comparison is carried out for the processing effects of the boxplot method, probability weight analysis method and DBSCAN clustering algorithm on the big data driven power grid. According to the comparison results, the performance of the DBSCAN algorithm outperforming other methods in processing effect. The experimental verification shows that the DBSCAN clustering algorithm can effectively screen the power grid data, thereby significantly improving the accuracy and reliability of the calculation result of the main grid's theoretical line loss.

An Optimizing Algorithm of Non-Linear K-Means Clustering

Chen Ning,Zhang Hongyi 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.4

Kernel K-means clustering (KKC) is an effective nonlinear extension of K-means clustering, where all the samples in the initial space are mapped into the feature space and then K-means clustering is performed based on the mapped data. However, all the mapped data are expressed by the implicit form, which causes the initial cluster centers can’t be selected flexibly. Once the selected initial cluster centers aren’t suitable, it tends to fall into local optimal solutions and can’t guarantee stable result. Based on a standard orthogonal basis of the sub-space spanned by all the mapped data, a novel improving non-linear algorithm of KKC is presented in this paper. The novel algorithm can express the mapped data using the explicit form, which make it very flexible to select the initial cluster centers as the linear K-means clustering does. Moreover, the computational complexity of the presented algorithm is also significantly reduced compared to that of KKC. The results of simulation experiments illustrate the proposed method can eliminate the sensitivity to the initial cluster centers and simplify computational processing.

Modeling and SINR Analysis of Dual Connectivity in Downlink Heterogeneous Cellular Networks

( Xianling Wang ),( Min Xiao ),( Hongyi Zhang ),( Sida Song ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.11

Small cell deployment offers a low-cost solution for the boosted traffic demand in heterogeneous cellular networks (HCNs). Besides improved spatial spectrum efficiency and energy efficiency, future HCNs are also featured with the trend of network architecture convergence and feasibility for flexible mobile applications. To achieve these goals, dual connectivity (DC) is playing a more and more important role to support control/user-plane splitting, which enables maintaining fixed control channel connections for reliability. In this paper, we develop a tractable framework for the downlink SINR analysis of DC assisted HCN. Based on stochastic geometry model, the data-control joint coverage probabilities under multi-frequency and single-frequency tiering are derived, which involve quick integrals and admit simple closed-forms in special cases. Monte Carlo simulations confirm the accuracy of the expressions. It is observed that the increase in mobility robustness of DC is at the price of control channel SINR degradation. This degradation severely worsens the joint coverage performance under single-frequency tiering, proving multi-frequency tiering a more feasible networking scheme to utilize the advantage of DC effectively. Moreover, the joint coverage probability can be maximized by adjusting the density ratio of small cell and macro cell eNBs under multi-frequency tiering, though changing cell association bias has little impact on the level of the maximal coverage performance.