Gas Exchange Rates of Texas Persimmon (Diospyros texana) in Central Texas Woodlands

Diospyros texana (Texas persimmon) is a secondary species in most Juniperus ashei/Quercus fusiformis woodlands in central Texas. It has high density, but plants are mostly in the community understory. Light response curves at ambient and elevated levels of CO2 and temperature were measured for D. texana. The Anet (photosynthetic rate) increased significantly as both light level and CO2 levels increased but not temperature. The Amax (maximum photosynthetic rate) of D. texana in full sun at elevated levels of CO2 was increased for all treatments. Stomatal conductance increased with levels of CO2 but only if the interaction was removed from the model. Intercellular levels of CO2 increased with both temperature and CO2 treatments as did water use efficiency (WUE). Furthermore, light saturation (Lsat) increased with CO2 treatments and light compensation (Lcp) increased with temperature. The dark respiration (Rd) increased with both temperature and CO2 treatments. Markov population models suggested D. texana populations would remain ecologically similar in the future. However, sub-canopy light levels and herbivory should be considered when examining population projections. For example, Juniperus ashei juveniles are not recruited into any canopy unless there are high light levels. Herbivory reduces the success of Quercus juveniles from reaching the canopy. These factors do not seem to be a problem for D. texana juveniles which would allow them to reach the canopy without need of a high light gap and are not prevented by herbivory. Thus, Juniperus/Quercus woodlands will change in the future to woodlands with D. texana a more common species.

A Production Inventory Model of Constant Production Rate and Demand of Level Dependent Linear Trend

The proposed model considers the products with finite shelf-life which causes a small amount of decay. The market demand is assumed to be level dependent and in a linear form. The model has also considered the constant production rate which stops attaining a desired level of inventories and that is the highest level of inventories. Production starts with a buffer stock and without any sort of backlogs. Due to the market demand and product’s decay, the inventory reduces to the level of buffer stock where again the production cycle starts. With a numerical search procedure the proof of the proposed model has been shown. The objective of the model is to obtain the total average optimum inventory cost and optimum ordering cycle.

Macroblock-Level Rate Control Scheme for Video Encoders

Rate control plays an important role in video coding. An algorithm is proposed by Tsai et al in which macroblock’s coding order is rearranged to improve the coding quality. However, the complexity is very high due to the change of macroblock’s coding order. In this paper, a macroblocl-level rate control algorithm is proposed which recalculates the quantization parameter of each macroblock based on its significance. Simulation results show that the proposed algorithm not only achieves 0.1-0.6 dB in peak signal-to-noise ratio (PSNR) but also reduces 33%-55% total encoding time compared to Tsai’s algorithm.

Evolution of Acquired Humoral Immunity after Full Vaccination against SARS-CoV-2. IgG Levels in Healthcare Workers at 6 and 9 Months

Background: The COVID-19 pandemic continues to be a major worldwide health problem. The present study aims to contribute to surveillance of the immune and clinical response of vaccines to SARS-CoV-2. Methods: Observational medication study on acquired immunity and effectiveness of vaccines. Population: 620 workers in the health service of Almansa (Spain). Representative sample of 150 individuals. Sociodemographic, clinical, and epidemiological data and samples were recorded to determine anti-SARS-CoV-2 serum IgG levels 6 and 9 months after vaccination with Pfizer. Results: Mean age 46.45 years;76% women;85.1% working in a hospital. 19.3% had had COVID-19 in the year prior to vaccination. 96.7% were fully vaccinated with Pfizer/BioNTech. At 6 months, 100% seropositivity and mean IgG levels of 3017.2 AU/ml. Significant variations in IgG levels in individuals with prior COVID-19 infection and smokers. At 9 months, 99.3% remained seropositive;2.8% infected after vaccination. The repeated measures analysis showed a difference in means of 669.0 AU/ml (significant decrease in IgG levels of 28.9%). Conclusion: Antibody levels remained positive 6 and 9 months after vaccination, although IgG levels were found to decay.

Aspect Level Songs Rating Based Upon Reviews in English

With the advancements in internet facilities,people are more inclined towards the use of online services.The service providers shelve their items for e-users.These users post their feedbacks,reviews,ratings,etc.after the use of the item.The enormous increase in these reviews has raised the need for an automated system to analyze these reviews to rate these items.Sentiment Analysis(SA)is a technique that performs such decision analysis.This research targets the ranking and rating through sentiment analysis of these reviews,on different aspects.As a case study,Songs are opted to design and test the decision model.Different aspects of songs namely music,lyrics,song,voice and video are picked.For the reason,reviews of 20 songs are scraped from YouTube,pre-processed and formed a dataset.Different machine learning algorithms—Naïve Bayes(NB),Gradient Boost Tree,Logistic Regression LR,K-Nearest Neighbors(KNN)and Artificial Neural Network(ANN)are applied.ANN performed the best with 74.99%accuracy.Results are validated using K-Fold.

Heart Rate Variability as an Indicator of Stress in Students’ Athletes

Introduction: The wellbeing of student’s athletes has a paramount importance, a prolonged period of cognitive and physical performance that characterizes the life of student’s athletes often leads to fatigue, and a psychobiological state that increases the risk of injury and accidents. The use of Heart rate variability (HRV) has become increasingly popular as a non-invasive methodology that provides an indirect insight into the autonomic nervous system. HRV can be utilized as a diagnostic tool in detection of autonomic nervous system impairment and sympatho-vagal imbalance. HRV technology is employed to monitor the internal response of athletes to workload and identify athletes’s psychophysical stress to predict and therefore prevent injuries. Objective: The objective of the investigation is to establish whether the use of Polar H10 sensor heart rate monitors worn by athletes in a sitting position (inclination 60 degrees) during periods characterized by stress can provide a valid and non-invasive method to assess the psychophysiological state during sports competition and school exams. Method and Statistics: In the study, the HRV of 12 basketball students athletes and 4 students non-athletes was analyzed as a control group. The autonomic nervous system activity was assessed based on heart variability parameters (HRV): SDNN, rMSSD, LF, HF, and LF/HF. The measurements were made after establishing the baseline at rest, during the training phase (CT), competition phase (CC) and during the acute phase of stressors due to school exams coinciding with the competitive season (CC + E). Results: Compared to the respective values prior to the stress of the competitions and exams, a significant decrease in HRV indices was found: SDNN (P Conclusions: The analysis and examination of the data on the sample of the student population also showed a statistically significant correlation between decreased cardiac variability and injuries or indisposition to physical exertion.

Annual variation rate of global sea－level rise and the prediction for the 21st century

An analytics method of predicting the annual variation rate (AVR) of global sea-level (GSL) is developed.Through the calculation by using the mean sea-level data collected from the tidal gauge stations over the world, a GSL rise of 0. 15～0. 16 cm/a is obtained. The predicted values of AVR of GSL for the 21st century are presented. The authors' results have been compared to those reported by other scientists at home and abroad. The method proposedhere is more convenient and precise.

系统级单粒子效应试验方法研究

为评估星载电子系统抗单粒子效应敏感性及验证系统级加固方法有效性,本文开展了系统级单粒子效应试验方法的相关研究。验证了采用地面模拟装置以逐一辐照系统中器件方式评估系统功能中断率的可行性,提出可通过多种方式获取器件的敏感性数据,指出直接将系统中器件对应的功能中断截面进行加和求取系统截面曲线的不合理之处,本研究为开展系统级单粒子效应试验提供了技术支撑。

基于多维空间的航路利用率

航路利用率表征了空域中航路的利用情况,通过计算航路利用率可以实现对空域资源进行更合理、高效的利用。为了更加准确地计算给定时间段内固定航路的利用率,通过构建抽象的三维空间,提出了一种基于多维空间的航路利用率计算方法。在考虑时间和空间两个角度之间的相互联系有了突破,从时间、航路、高度层三个维度建立航路时空利用率计算模型计算航路时空利用率,结合航路容量利用率,从时间、空间、容量三个角度出发,建立了航路利用率计算模型。最后通过算例分析计算得到某一空域四条航路的利用率。

基于高度层与飞机类型的航路利用率研究

航路利用率表征了空域中航路的利用情况.为了更加准确地计算航路的利用率,针对在航路上不同的高度层对不同类型的飞机具有不同的适用性问题,根据不同高度层和飞机类型的组合情况,从时间、空间、容量三个角度建立了一种基于高度层与飞机类型的航路利用率计算模型.在考虑航路利用率的多维影响因素方面有了突破,通过算例分析计算得到某四条航路的利用率.

地方特色高水平大学优势学科发展路径探索——以安徽理工大学安全科学与工程学科为例

在“双一流”建设背景下,如何建设高水平行业特色高校是地方高校需要思考的重大命题。我国的行业特色高校经过多年发展,呈现出不同的发展水平和发展形态。高水平优势学科建设对地方特色高水平大学高质量发展有着重要作用。文章以安徽理工大学安全科学与工程学科为例,对地方特色高水平高校如何高质量发展优势学科进行了探讨,提出应实施引育学科人才、促进学科交叉、构建创新平台、创新产学研机制等策略,优化特色优势学科发展,依托优势学科促进地方特色高水平大学建设。

腹腔镜结直肠癌根治术治疗结直肠癌的疗效

目的 探究分析腹腔镜结直肠癌根治术治疗结直肠癌的疗效。方法 选取2019年2月至2023年1月我院普外科收治的50例结直肠癌患者作为研究对象,随机分为对照组(开腹手术)与观察组(腹腔镜结直肠癌根治术),对比两组的治疗效果、临床相关指标、应激反应状态、炎症因子水平、胃动素与胃泌素水平、并发症发生率以及生活质量。结果 观察组治疗效果、临床相关指标、应激反应状态、炎症因子水平、胃动素与胃泌素水平、并发症发生率以及生活质量均优于对照组(P <0.05)。结论 腹腔镜结直肠癌根治术可显著改善患者病情状态、临床效果、并发症发生情况以及生活质量,安全可靠。

不同位置及加香水平对加热卷烟释放行为的影响

【目的】探索不同位置及加香水平对加热卷烟释放行为的影响。【方法】通过控制单支加热卷烟香精总量在一定的允差范围内,设计6组薄荷味加热卷烟并考察了烟碱、丙三醇、薄荷醇和N,2,3-三甲基-2-异丙基丁酰胺(WS-23)的释放规律。【结果】(1)对于烟碱和丙三醇,6组加热卷烟中烟碱的释放率和转移率都要大于丙三醇。(2)对于薄荷醇和WS-23,6组加热卷烟的释放率和转移率均存在较大差异,其中1#、2#、5#加热卷烟的释放率和转移率较高。释放率和转移率的波动受加热卷烟各段加香差异的影响。(3)每种成分的释放量均表现出先增大再减小的趋势,其中5#加热卷烟表现出相对较好的稳定性。

超快速冷却对生鲜羊肉中糖酵解酶表达量的影响

以不同降温速率处理和不同温度条件下贮藏的羊背最长肌为样品,比较分析宰后不同时间生鲜羊肉的pH值、葡萄糖含量、糖酵解潜力和5个糖酵解酶的表达量,明确超快速冷却过程中两个环节对糖酵解的影响,从蛋白质表达量的角度完善超快速冷却对糖酵解速率的调控机制。结果显示,超快速冷却显著延缓了pH值下降和糖酵解速率上升,上调了醛缩酶、糖原磷酸化酶和磷酸丙糖异构酶的表达量,下调了磷酸果糖激酶(phosphofructokinase,PFKM)和磷酸甘油酸激酶(phosphoglycerate kinase,PGK)的表达量。降温处理后采用冷藏和冰温贮藏通过抑制PGK的表达量延缓糖酵解,不改变超快速冷却的作用。不同温度条件下,PFKM的表达量与糖酵解速率呈正相关。不同代谢酶对温度变化的响应不同,超快速冷却通过改变代谢酶的表达量影响能量供需,其中高表达量的PFKM与快速糖酵解相关,可以视为超快速冷却过程中的关键酶。

不同产蛋水平五龙鹅肠道形态、肠道菌群结构及养分利用率比较分析

本试验通过研究不同产蛋水平五龙鹅在肠道形态、肠道菌群结构及养分利用率的差异,旨在为五龙鹅高产性状的筛选及探究其调控机制提供理论依据。试验选择300只体况相近的34周龄五龙鹅种鹅饲喂相同饲粮,采用单笼饲养连续记录产蛋高峰期70 d产蛋量,根据产蛋水平不同选取高、中、低产蛋量五龙鹅共150只,每组各50只。结果表明:1)在肠道形态方面,高产组肠道重量、空肠绒毛高度及绒毛高度/隐窝深度、回肠绒毛高度/隐窝深度显著高于低产组(P<0.05),十二指肠隐窝深度显著低于低产组(P<0.05)。2)在肠道菌群结构方面,高产组肠道中脱硫弧菌属相对丰度较低产组富集,低产组盲肠中未分类丹毒丝菌科、未分类毛螺菌科、艾诺玛菌属和史雷克氏菌属相对丰度较高产组富集。3)在养分利用率方面,高产组钙利用率显著高于低产组(P<0.05)。由此可见,不同产蛋水平五龙鹅在肠道发育、肠道菌群结构及养分利用率上存在明显差异,上述研究结果为鹅高产性状调控机制探究及高产性状精准选育提供了理论依据。

川西南下寒武统筇竹寺组页岩旋回地层学研究

[目的]四川盆地下寒武统的泥页岩不仅包含重要的环境生命演化信息,同时也是我国当前页岩气勘探开发的重点层位,对其开展精细地层年代学研究具有生产及科研的双重价值。[方法]为了更准确地探明四川盆地下寒武统筇竹寺组黑色页岩层序沉积特征,对川西南地区金页1井筇竹寺组页岩地层开展了旋回地层学研究。[结果与结论](1)通过分析不同测井曲线测井响应特征,认为钾元素测井序列是最适合古环境、古气候的替代指标。(2)将钾元素深度序列进行频谱分析和滑动窗口频谱分析,识别出偏心率和斜率周期(405 kyr,131 kyr,95 kyr,36.4 kyr,28.2 kyr);并结合相关系数分析,以不同沉积速率为限,将整段曲线划分为四段,分别进行405 kyr长偏心率周期的带通滤波;以周缘地区的年代地层年龄526.86±0.16 Ma为年龄控制点,建立了金页1井筇竹寺组的“浮动”天文年代标尺。(3)筇竹寺组共记录了29个长偏心率周期,四段地层的最优沉积速率分别为2.5,2.9,3.4和4.8 cm/kyr。(4)以405 kyr的轨道调谐为基础的沉积噪音模型DYNOT及ρ1曲线重建了筇竹寺组沉积时期相对海平面变化曲线;以该曲线为理论参照,在筇竹寺组中划分了4个三级层序,识别出4个最大海泛面及与之对应的T-R旋回;4个三级层序的沉积时限从下到上为3.18,2.03,2.97和3.63 Ma,分别包含了8个,5个,7个和9个长偏心率周期。(5)海平面变化曲线的低值对应了全球碳同位素负偏,推测是由于海平面的下降引起的有机质发生氧化,并向海水释放碳同位素偏轻的无机碳,形成碳同位素负偏。

FeXX离子1s^(2)2s^(2)2p^(3)基组态能级结构和磁偶极跃迁参数的理论计算

原子光谱数据在天体物理探测、等离子体诊断等研究领域中具有重要的作用,准确可靠的原子光谱数据有助于深刻理解天体物理源的本质和等离子体的特性。以多电子的FeXX离子为研究对象,利用多组态相互作用Dirac-Fock方法完成了FeXX离子1s^(2)2s^(2)2p^(3)基组态能级结构和组态内磁偶极跃迁参数的理论计算。以全相对论理论框架下的GRASP2K程序为计算基础,细致地考虑了多电子体系的相对论效应和电子关联效应,构建了规模适当、包含关键电子关联效应的相对论原子态波函数;在此基础上,利用微扰法处理Breit相互作用和量子电动力学效应,完成了FeXX离子1s^(2)2s^(2)2p^(3)基组态能级结构和磁偶极跃迁速率、谱线波长和加权振子强度等物理量的高精度理论计算。与现有的实验结果相比,计算得到的FeXX离子1s^(2)2s^(2)2p^(3)基组态各原子态激发能的相对误差范围为0.175%~0.457%,基组态内磁偶极跃迁速率的相对误差范围为0.441%~4.725%,二者都具有较好的精度。FeXX离子1s^(2)2s^(2)2p^(3)基组态内磁偶极跃迁谱线波长和加权振子强度的实验数据还存在大量空白,计算得到的谱线波长与已有的其他理论结果非常接近,二者之间最大差值仅为6.138 88?,希望该计算结果能够为光谱实验测量提供有价值的理论参考。通过该研究可以确定,全相对论多组态相互作用Dirac-Fock方法充分考虑了电子关联效应和相对论效应,适用于多电子体系结构、性质和跃迁行为的理论研究,该方法获得的高精度理论计算结果既可以满足储存环制备高离化原子的实验数据需求,也可以为光谱测量、天体物理、等离子体诊断、受控聚变等方面的相关研究提供可靠的参考数据。

高功率纳秒级激光二极管高侧驱动电路

纳秒级高功率的激光发射系统对激光雷达的探测性能产生重要影响。本文对普遍使用的激光二极管低侧栅极驱动电路进行修改得到高侧栅极驱动方式,使之能够适用于共阴极激光发射电路。该高侧驱动方式采用了一个半桥驱动器,两个GaN FET作为核心器件来控制激光二极管的发光。文中分析了该拓扑结构中电压、电容、电阻、电感等因素对流经激光器电流波形的影响。经过实验测试,在高重复频率下该电路能够产生3.1 ns脉冲宽度,约65 W的峰值功率,能够作为激光雷达的发射模块对场景进行扫描成像。