Vascular Flora from Ecoton Zones of the Slatioara Secular Forest

The purpose of this study is to generate essential scientific information regarding the floristic composition and the structures of the ecotone vegetation in the natural forest Codrul Secular Slătioara, because so far no such studies have been carried out in this reserve. Also, the results of this study provide important data, which can be the basis for the development of strategies for the conservation and sustainable use of some herbaceous species, valuable due to genetic and socio-economic, respectively of a regular forest monitoring program. The floristic studies were carried out in the 2020 to 2021 vegetation season. Based on the specialized literature, plant species were identified and then processed from the point of view of bioforms, floristic elements and ecological indices. The economic categories in which the identified species fall were also analyzed. Thus, a total of 292 species belonging to 46 botanical families were identified and their distribution by ecosystems is as follows: in the forest, 90 species were identified, in the lands adjacent to the forest, in the meadows, 202 species were found and in the area of border, 120 species of vascular plants were identified. Most of the species identified in the study area are hemicryptophytes, heliophiles, and eurytherms, which grow on dry to moderately moist, eurytrophic soils. More than 50% of the identified species belong to several categories of useful plants (fodder, medicinal, melliferous, edible).

Syzygy Effects Studies Performed Simultaneously with Foucault Pendulums and Torsinds during the Solar Eclipses of 13 November 2012 and 10 May 2013

Several simultaneous observations are presented of Syzygy effects during two solar eclipses, performed with torsinds and Foucault pendulums. The experiments/measurements were of a simple nature, conducted in several of places in Romania and Ukraine. It is shown that during Syzygy effects both the torsind and the Foucault pendulum exhibit specific reactions: the torsind’s disk is rotated, whereas the direction of the swing plane, the period, the eccentricity and the chirality of the ellipse of oscillation of the Foucault pendulum are all altered. We term all these perturbations “Syzygy effects” and found that they take place even when the devices are in locations where the eclipse is not visible and even when they are underground. An unusual time shifts?between the responses of the devices and the maximum phase of the eclipse is detected. The importance of simultaneous simple observations of astronomical phenomena using these two devices of fundamentally different types is emphasized.

Efficient Cloud Resource Scheduling with an Optimized Throttled Load Balancing Approach

Cloud Technology is a new platform that offers on-demand computing Peripheral such as storage,processing power,and other computer system resources.It is also referred to as a system that will let the consumers utilize computational resources like databases,servers,storage,and intelligence over the Internet.In a cloud network,load balancing is the process of dividing network traffic among a cluster of available servers to increase efficiency.It is also known as a server pool or server farm.When a single node is overwhelmed,balancing the workload is needed to manage unpredictable workflows.The load balancer sends the load to another free node in this case.We focus on the Balancing of workflows with the proposed approach,and we present a novel method to balance the load that manages the dynamic scheduling process.One of the preexisting load balancing techniques is considered,however it is somewhat modified to fit the scenario at hand.Depending on the experimentation’s findings,it is concluded that this suggested approach improves load balancing consistency,response time,and throughput by 6%.

Epidemiologic Evolution Platform Using Integrated Modeling and Geographic Information System

At the international level, a major effort is being made to optimizethe flow of data and information for health systems management. The studiesshow that medical and economic efficiency is strongly influenced by the levelof development and complexity of implementing an integrated system of epidemiological monitoring and modeling. The solution proposed and describedin this paper is addressed to all public and private institutions involved inthe fight against the COVID-19 pandemic, using recognized methods andstandards in this field. The Green-Epidemio is a platform adaptable to thespecific features of any public institution for disease management, based onopen-source software, allowing the adaptation, customization, and furtherdevelopment of “open-source” applications, according to the specificities ofthe public institution, the changes in the economic and social environment andits legal framework. The platform has a mathematical model for the spreadof COVID-19 infection depending on the location of the outbreaks so thatthe allocation of resources and the geographical limitation of certain areascan be parameterized according to the number and location of the real-timeidentified outbreaks. The social impact of the proposed solution is due to theplanned applications of information flow management, which is a first stepin improving significantly the response time and efficiency of people-operatedresponse services. Moreover, institutional interoperability influences strategicsocietal factors.

Statistical Medical Pattern Recognition for Body Composition Data Using Bioelectrical Impedance Analyzer

Identifying patterns,recognition systems,prediction methods,and detection methods is a major challenge in solving different medical issues.Few categories of devices for personal and professional assessment of body composition are available.Bioelectrical impedance analyzer is a simple,safe,affordable,mobile,non-invasive,and less expensive alternative device for body composition assessment.Identifying the body composition pattern of different groups with varying age and gender is a major challenge in defining an optimal level because of the body shape,body mass,energy requirements,physical fitness,health status,and metabolic profile.Thus,this research aims to identify the statistical medical pattern recognition of body composition data by using a bioelectrical impedance analyzer.In previous studies,a pattern was identified for four indicators that concern body composition(e.g.,body mass index(BMI),body fat,muscle mass,and total body water).The novelty of our study is the fact that we identified a recognition pattern by using medical statistical methods for a body composition that contains seven indicators(e.g.,body fat,visceral fat,BMI,muscle mass,skeletal muscle mass,sarcopenic index,and total body water).The youth that exhibited the body composition pattern identified in our study could be considered healthy.Every deviation of one or more parameters outside the margins of the pattern for body composition could be associated with health issues,and more medical investigations would be needed for a diagnosis.BIA is considered a valid and reliable device to assess body composition along with medical statistical methods to identify a pattern for body composition according to the age,gender,and other relevant parameters.

PERFORMANCE EVALUATION OF DISCRETE EVENT SYSTEMS INVOLVING HENSTOCK-KURZWEIL INTEGRAL

This paper presents a study on the performance of flexible manufacturing systems(FMSs),by using discrete event system(DES) models,considering resource losses modelled by a parameter entitled coverage factor.We conclude that the resources cell loss distribution between the tasks of a FSM is a real function that cannot be integrated,in order to calculate its primitive,in the classical sense of Riemann or Lebesgue,but only in the sense of Henstock-Kurzweil integral.Our result allows one to study more general processes where highly oscillatory functions occur.The method used to deduce the function describing the resources cell loss distribution is compared with a classical method related in the literature,respectively rational interpolants.An example has been constructed to emphasize what we believe to be,new approaches.

从木材解剖学视角看公元6世纪中期晚古小冰期的开始时间

公元536~540年间的大规模火山喷发使得晚古小冰期成为过去两千年最为寒冷的时期.然而,受限于现有气候代用资料的时间分辨率和空间覆盖度,晚古小冰期的开始时间和空间范围仍存有争议.本文分析了全球23个森林样点、20个树种的106个树轮样本资料,从细胞尺度揭示了公元530~550年间北半球发生的短暂夏季冷却现象.经过交叉定年和染色处理后,在北半球的树轮样品中共识别出89个蓝轮(缺失细胞壁木质化过程)、9个霜轮(细胞分裂受阻)和93个浅轮(细胞壁增厚减弱).研究结果表明,公元536年7月中旬至8月初期间整个北美和欧亚大陆均发生了最剧烈的温度下降,而更多的区域性“冷夏”出现于公元532年、540~543年和548年.然而,本研究在南半球的树轮资料中并未发现异常的解剖结构,其原因可能与南半球的海洋热惯性减缓了火山降温效应有关,也或与南半球其时正值非生长季有关.相较于传统的树轮年代学方法,本研究的木材解剖学的方法能为地球系统模式提供更为精细的参考标准,有望服务于气候与人类历史交叉学科研究,同时对“全球气候平均”概念的使用提出质疑.