Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of lock up and harvest dates on dairy pasture dry matter yield and quality for silage in south-western Victoria

Summary. At 2 sites in south-western Victoria, 132 plots of predominantly perennial ryegrass pasture were randomly allocated, within 4 replicate blocks, to each of 3 lock up dates (L1, L2, L3) by 12, 12 or 9 harvest times. Harvesting commenced 2 weeks after initial treatment lock up with L1 and L2 being harvested 12 times (weekly intervals) and L3, 9 times. Lock up dates were 15 August (L1), 5 September (L2) and 26 September (L3) at site 1 and 17 August (L1), 7 September (L2) and 28 September (L3) at site 2. For each treatment and harvest date, dry matter yield and botanical composition were determined and samples of total pasture and the ryegrass fraction were collected and assessed for dry matter digestibility, crude protein and neutral detergent fibre. Dry matter yield was measured from the start of L1 (site 1, 15 August; site 2, 17 August) until the final harvest date of L3 (site 1, 12 December; site 2, 14 December). At site 1, L3 produced higher dry matter yields than L1 and L2 at comparable lengths of lock up time, whilst there were no differences at site 2. Over the total experimental period (site 1, 15 August–12 December; site 2, 17 August–14 December) there were no differences in total dry matter yield (t/ha) between treatments at either site (site 1—L1 5.79, L2 6.43, L3 5.94; site 2—L1 6.68, L2 5.07, L3 5.73). Treatments had little effect on botanical composition at either site when compared at the same time after lock up, both during the harvesting period or in the subsequent autumn. Pasture metabolisable energy and crude protein all declined with increasing length of lock up whilst neutral detergent fibre content increased, changes which were similar for both the total pasture and the ryegrass fraction. The metabolisable energy of pasture in L1 and L2 was higher than that of L3 at least until week 8 at both sites. Initial crude protein values were higher for L1 and L2 than for L3 at site 1, whilst at site 2, L1 had higher values than either L2 or L3. Although longer lock up periods produced more herbage, if conserving forage is to be an integral component of managing surplus spring pasture, then dairy farmers should aim to produce high quality pasture for forage conservation. This will be achieved through shorter lock up periods and harvesting pasture no later than early ear emergence in the ryegrass fraction of the sward. This management will reduce dry matter yields, but allow more flexibility for maintaining intensive grazing practices through the spring period. The decision about when to lock up pasture will depend on both plant growth rates and animal feed requirements.
Characterization of Waves in an Electrocardio- graphic Signal Using Various High-Energy Rays from its Spectral Content

The electrocardiogram is considered to be one of the most powerful diagnosis tools in medicine; it is routinely used in the assessment of the heart function. In this work, an application was developed and implemented in the Visual Basic (VB) Environment, in order to study the processing time through the detection of the R peak and the selection of different waves (P wave, T wave and QRS complex) present in an ECG. The spectral processing is used to perform the characterization of different waves constituting this ECG signal, by means of different high-energy rays using the Fast Fourier Transform (FFT) algorithm which is based on Radix2 and the Index Approach. This is done to eliminate redundancy in calculations.
Limited degree of serological variability in pepper strains of potato virus Y as revealed by analysis with monoclonal antibodies

Summary The degree of serological variability among pepper strains of potato virus Y (PVY) was assessed through the analysis of samples of infected pepper collected in three main pepper producing regions of Spain. Samples corresponding to the period 1980–1991 were analysed by ELISA with five different monoclonal antibodies (MAbs) produced against potato strains of the virus. The results obtained show a limited degree of epitope variability among pepper PVY-isolates, since only eight out of 32 possible serological profiles were found. Most isolates are not recognised by a MAb directed towards an epitope reported to be present in all potato-PVY isolates. The overall serological behaviour of pepper isolates with these MAbs places them as closer to the group O, of the three groups into which the potato isolates of PVY have been subdivided.
luXbeacon—A Batteryless Beacon for Green IoT: Design, Modeling, and Field Tests

The maturing deployment of the Internet of Things is gradually realizing new smart applications that strongly leverage recent advances in proximity detection methods. To this end, Bluetooth low energy (BLE) beacons are one of the preferred candidates because of the widespread use of Bluetooth-enabled devices. However, traditional battery-powered BLE beacons suffer from a limited operation lifetime, inducing additional maintenance operations and costs. This paper addresses this issue by proposing design principles for an ambient light energy harvesting BLE beacon capable of perpetual operation in the indoor environment. The contributions made in this paper include: 1) investigation and modeling of related hardware components, namely the BLE beacon, photovoltaic panel, and capacitor; 2) design principles for selecting hardware components subject to varying environmental conditions and application requirements; and 3) prototyping and field-tests to prove its practicality. Through multiple experiments, this paper proves that the design can operate perpetually under 40 lux light intensity, and can last over 17 h once fully charged.
PATHOGENESIS OF EXPERIMENTAL SHOCK

Fatal shock was produced in animals by drum trauma, temporary occlusion of the superior mesenteric artery, and bacterial endotoxin. Measurements were made of release of beta glucuronidase and cathepsins from the large granule fractions of livers, and of levels of circulating beta glucuronidase and acid phosphatase in these animals. Experiments were also carried out with animals rendered tolerant by previous exposure to sublethal amounts of trauma or by pretreatment with cortisone. The results show that release of beta glucuronidase and cathepsins from the large granule fraction of liver was increased during traumatic and endotoxin shock in the rat. Similarly, circulating levels of acid phosphatase and beta glucuronidase were increased during traumatic shock in rats and rabbits, and during endotoxin shock in rats. The data also indicate that tolerance to traumatic injury, induced by prior conditioning, prevented the increase in levels of circulating acid phosphatase normally observed after stress, and may have been associated with an increased stability of hepatic lysosomal particles. In addition, cortisone, which appears to "stabilize" hepatic lysosomes in vivo, also reduced the increase in plasma acid phosphatase brought about by endotoxin and trauma. From the foregoing observations, it is suggested that: (a) Disruption of lysosomes and release of their contained enzymes in free, active form may occur in liver and intestine of shocked animals. (b) The activation of lysosomal hydrolases within cells and their release into the circulation may play an important role in exacerbating tissue injury and accelerating the development of irreversibility during shock. (c) The increased stability of lysosomes of tolerant and of cortisone-treated animals may constitute an important component of the resistance of these animals to shock.
SOVMM: Survey on Virtual Machine Migration

We are living in two worlds one where we physically present and one where we virtually present and that virtual world is nothing but an internet world. We spent lot of time on internet and our maximum work is on internet such as banking, business, and government work. Cloud Computing is the future of this world. Cloud computing is internet based computing technology. Virtual machine is the core element of this computing technology. In the data center many virtual machines present which satisfy the user request and their requirements. To efficiently satisfying the user need and uninterrupted services some time virtual machine needs to be migrated from one data center to another data center or from one host to another host within the data center. There are many algorithms for virtual machine migration which are based on different parameters and conditions. This paper comprises all such algorithms with their merits and demerits and also a comparative study of these algorithms.
Family Control and Leverage: Australian Evidence

This paper investigates whether leverage of family controlled firms differs from that of nonfamily controlled firms. Using data from publicly listed industrial firms in Australia traded over 1998 to 2002, family controlled firms appear to have higher levels of leverage than non-family counterparts. Results indicate that the families’ incentive to use debt as a means of concentrating voting power outweighs the need to reduce debt in order to mitigate firm risk.
Assessing Student Contributions in Wiki-based Collaborative Writing System

In recent years, Wiki has been proved effective for collaborative learning in modern education. As a typical collaborative writing system , Wiki empowers students in generating, modifying and structuring their own contents. Some courses may include these collaborative assignments like writing a wiki page as part of assessment. But for teachers, it is diﬀi-cult to assess the quality of student contributions, because the final result of project is made up of edits from different students. In this paper, we propose a content-based model, OSEAN(Order-Sensitive Edit Assessing Network) to better address this problem. OSEAN can represent and predict students edits’ quality by extracting semantic features from edit pairs. Experiment results show that OSEAN has the highest AUPRC on Wikipedia edit quality classification task in all tested methods. Furthermore, OSEAN can handle reversed edit pairs correctly, which often happens when one student undoes previous student’s edit.
High Speed Level Shifters for Low Power Applications with Reduced Size

In this paper a high speed level shifter is proposed for low power applications. This circuit is a power efficient level shifter that converts low level input voltages to high level voltages as per the design requirement. The efficiency of pull up and pull down transistors are improved in the proposed method and the circuit was tested by using 180 nm CMOS technology. A unit buffer and inverter circuit was introduced to the load circuits and input buffers to have fair comparison between different structures. The overall power consumption in the proposed circuit was reduced to a minimum level by reducing the number of transistors to build a level shifter. Keywords—Level Shifter, Low Power, Source Follower, CMOS Technology.
A Simulation Study for Typical Design Rule Patterns and Stochastic Printing Failures in a 5 nm Logic Process with EUV Lithography

We have done a simulation study for typical 5 nm logic design rule patterns with a self-developed aerial image simulator based on the Rigorous Coupled Wave Analysis (RCWA) algorithm and the Abbe imaging routine. Generally speaking, critical structures in a lithography process are semi-dense patterns, the array edge structures, line end to line end structures, line end to perpendicular line structures (under 2D design rules), the minimum area structures, the bi-line, tri-line,. , etc. Compared to those from the 193 nm immersion process, the behaviors for the above structures are different. For example, the minimum area of the EUV photolithographic process is found to be significantly larger than the minimum area of 193 nm immersion process. In our simulation, we have kept aware of the stochastics impact due to drastically reduced number of photons absorbed compared to the DUV process, the criteria used for various structures of image contrast are tightened. For example, in EUV lithography, the minimum Exposure Latitude (EL) for the gate layer, the metal layer, and the line end pattern have been raised to, respectively, >18%, 18%, and 13%. We have studied the stochastic printing failures of dense patterns and 2D structures, for example, line end to line end structures, line end to perpendicular line structures. Compared to 1D dense patterns, 2D structures may have lower failure probabilities with the same dimension. In contrast to dense line/space patterns, for example, the line end to line end, and the line end to perpendicular line structures have a larger area on both sides of the line ends, which is easier for developer to flow in and out so that they are relatively not easy to form bridge defects. In case of the reverse tone structures, the trench end to trench end, and the trench end to perpendicular trench structures have a large, connected under-exposed area (dark tone area) which is more robust to etch. We have also taken account of the influence of EL on LWR and Critical Dimension (CD) on stochastic printing failures. We will present the results of our work and our explanations.
Fatty Acid Composition between Nuttallia olivacea and Hediste spp. in the Nanakita Estuary, Japan: Estimation of Food Sources

The spatial variability of the food availability in different depositional environments (Nanakita estuary, Japan) was investigated using fatty acid biomarkers. The main objective of the present study was to determine the food availability for Nuttallia olivacea and Hediste spp. in connection with the depositional environment of organic matter (OM). Sandy sediment was mainly occupied by diatoms, bacteria and marine organic matter. Meanwhile, muddy sediment is dominated by diatoms, bacteria and terrestrial organic matter. The main food sources and food availability for N. olivacea were mostly dominated by diatoms, bacteria and dinoflagellates in connection with the depositional environment. Meanwhile, the food utilization characteristics of Hediste spp. may be attributable to the lower food selectivity due to their deposit feeding. From these results, the food availability for N. olivacea was more influenced by the depositional environment in estuarine tidal flat than Hediste spp.
PERFORMANCE ASSESSMENT OF BIOLOGICAL TREATMENT OF SEQUENCING BATCH REACTOR USING ARTIFICIAL NEURAL NETWORK TECHNIQUE

Artificial Neural Network (ANN) model's application is widely increased for wastewater treatment plant (WWTP) variables prediction and forecasting which can enable the operators to take appropriate action and maintaining the norms. It is much easier modeling tool for dealing with complex nature WWTP modeling comparing with other traditional mathematical models. ANN technique significance has been considered at present study for the prediction of sequencing batch reactor (SBR) performance based on effluent's (BOD5/COD) ratio after collecting the required historical daily SBR data for two years operation (2015-2016) from Baghdad Mayoralty and Al-Rustamiya WWTP office, Iraq. The prediction was gotten by the application of a feed-forward ANN, based on influent BOD5, COD and TSS concentrations. ANN ideal performance was measured based on the MSE and 2 values. Higher 2 value up to 94.1% with lowest MSE value were achieved suggesting good performance prediction by the model and its successful employment for the estimation of daily BOD5/COD ratio of SBR biological wastewater treatment effluent.
CONTACT EXPLOSION RESPONSE OF REINFORCED CONCRETE COLUMNS: EXPERIMENTAL AND VALIDATION OF NUMERICAL MODEL

Protective design of critical infrastructure and iconic buildings and monuments against terrorist attacks requires the incorporation of blast-resistant design to ensure adequate safety against explosive threats in today’s environment. Consequently, the response analysis of structures subjected to blast loading has gained importance with structural engineers in the recent years. Past research efforts have mostly focussed on the far-field blast response of structural components with limited emphasis on the near-field and contact explosion response. Thus, there is a lack of knowledge on the response of structural components to the effects of near-field and contact explosion. The behavior of reinforced concrete components have been studied numerically however there is limited experimental data for validation of these numerical models. The experimental data is scarcest in case of concrete columns. Columns are the most vulnerable and critical member in any structure and are prone to contact explosion attacks using small quantities of explosives. This paper presents a benchmark study for the response of full scale reinforced concrete columns with pad footing when subjected to contact explosions of varying charge mass. The quantitative and qualitative assessments of damage to concrete columns, including spalling and scabbing are presented. The experimental data was used to validate a set of numerical models in LS-DYNA. These models were used in further parametric studies to establish the effects of various design parameters on the response of concrete columns to contact explosions. Preliminary results of the parametric studies show that the response of the concrete columns subject to contact explosion can be reliably predicted using the validated numerical models.
IEKM-MD: An Intelligent Platform for Information Extraction and Knowledge Mining in Multi-Domains

The terminologies in different disciplines vary greatly, and the annotated corpora are scarce, which have limited the portability of information extraction models. The content of scientific articles is still underutilized. This paper constructs an intelligent platform for information extraction and knowledge mining, namely IEKM-MD. Two innovative technologies are proposed: Firstly, a phrase-level scientific entity extraction model combining neural network and active learning is designed, which can reduce the model’s dependence on large-scale corpus. Secondly, a translation-based relation prediction model is provided, which improves the relation embeddings by optimizing loss function. In addition, the platform integrates the advanced entity recognition model (spaCy.NER) and the keyword extraction model (RAKE). It provides abundant services for fine-grained and multi-dimensional knowledge, including problem discovery, method recognition, relation representation and hot spot detection. We carried out the experiments in three different domains: Artificial Intelligence, Nanotechnology and Genetic Engineering. The average accuracies of scientific entity extraction respectively are 0.91, 0.52 and 0.76.
Wireless Monitoring and Predictive System for Thermocouples with Real Time Cold Junction Compensation and Wireless Sensor Networks

: In this paper, we would like to implement a system for the remote sensing of very high temperatures using thermocouples. Remote sensing of high temperatures has been a topic of interest for research and industry for a number of years. However, currently realized systems are not able to perform real-time cold junction temperature compensation in real time which can lead to errors in the calculated temperature data. Further, each thermocouple requires its own unique driver. The system we have proposed, is meant to be modular for use with any type and number of thermocouples. It is able to monitor the thermocouple output, as well as use predictive filtering to predict error free temperature values in real time. The cold junction temperature-voltage characteristic graphs of the various thermocouples have been plotted as well.
A Study Of Image Possession And Pre-Refinement Of Finger Vein Recognition

: This paper presents the complete outlined of the finger vein recognition system and it represents an method of finger vein identification experiment. Initially vein patterns extract method to detect the finger vein shapes and its location of features. The proposed method extracts the vein shape stored in database and examines the finger vein matching score from the clear different images. The results show the investigation of finger vein based identification achieve low error rate. The achieved results are compared with conventional system to exhibit high match scoring rate of 98.79%. The finger processing helps to increase the importance of finger vein recognition. In this paper, the non linear manipulation of finger print is available in public vein database. The methods to examine the finger vein recognition are as follows: 1) Unsystematic removal of trivialities.2) Unsystematic exchange of obvious trivialities. 3) Unsystematic interrupt of positions and directions of trivialities. The investigation results exhibits how and to what range finger vein trivialities can be manipulated without causing enlarge to simulated matching score rate.
TOWARDS AN INTEGRATIVE FRAMEWORK OF INNOVATION CAPABILITIES DEVELOPMENT

Mainstream Technology and Innovation Management literature neglects the fact that laggard or latecomer firms lack of necessary innovation capabilities to compete or catch up leading competitor. Also scholars studying the phenomenon of creation of technological (innovation) capabilities in this kind of firms have biased to the technology side of the organization, neglecting the intervention of other strategic capabilities, such as marketing, IT and managerial capabilities in the process of creating the ability to innovate. This paper attempts to provide a theoretical framework that analyzes a firm as an integral entity, including all strategic capabilities which interact during the process of creating the innovation capabilities. It concludes with an application to a Mexican steel company that was capable to transform itself from a laggard into a global technology leader in the steel industry.
Effects of fisetin on oxaliplatin-induced neuropathic pain in mice

Common chemotherapeutic agents such as oxaliplatin often cause neuropathic pain during cancer treatment in patients. Such neuropathic pain is difficult to treat and responds poorly to common analgesics, which represents a challenging clinical issue. Fisetin is a naturally occurring flavonoid and this study tested the potential anti-hyperalgesic effects of fisetin in a mice model of oxaliplatin-induced neuropathic pain. Fisetin (1-4 mg/kg, i.p.) did not significantly alter the mechanical hypersensitivity in oxaliplatin-treated mice but produced a dose-dependent anti-hyperalgesic effect during repeated treatment. Repeated treatment with fisetin also prevented chronic neuropathic pain-induced depressive-like behavior in a forced swimming test. Both the antihyperalgesic and the antidepressant-like effects of fisetin can be blocked by a selective 5-HT1A receptor antagonist WAY100635 (1 mg/kg). Together, these results demonstrate that fisetin has significant analgesic efficacy against chronic neuropathic pain, which could be a useful analgesic in the management of neuropathic pain.
SELF EFFICACY, LOCUS OF CONTROL, SELF ASSESSMENT OF MEMORY ABILITY AND STUDY HABIT AS PREDICTORS OF PRE- SERVICE TEACHERS ACHIEVEMENT IN MATHEMATICS

It has been observed by several authors that students entering teacher education programs have preconceptions about teaching Mathematics based on their prior Harvard Research and Publications International December 31, 2019 Vol. 11 No. 2 ISSN: 0081 – 3998 JOURNAL OF AFRICAN SUSTAINABLE DEVELOPMENT INTRODUCTION Teacher’s beliefs about mathematics have a powerful impact on the practice of teaching (Uusimaki and Nason, 2004; Charalambos, Philippou and Kyriakides, 2002, Ernest, 2000). It has been suggested that teachers with negative beliefs about mathematics influence a learned helplessness response from students, whereas the students of teachers with positive beliefs about mathematics enjoy successful mathematical experience that result in them seeing mathematics as a discourse worth-while of study (Karp, 1991). That is what goes on in the mathematics classroom may be directly related to the belief teachers hold about mathematics. Hence, it has been argued that teacher belief play a major role in their students achievement and in their formation of