Miracle-dz/UniFAR-FTUs huggingface dataset:
Open Source Big Data Platforms and Tools: An Analysis

Big data is attracting an excessive amount of interest in the IT and academic sectors. On a regular basis, computer and digital industries generate more data than they have space to store. In the current situation, five billion people have their own mobile phone, and over two billion people are linked globally to exchange various types of data. By 2020, it is estimated that about fifty billion people will be connected to the internet. During2020, data generation, use, and sharing would be forty-four times higher than in previous years. A variety of sectors and organizations are using big data to manage various operations. As a result, a thorough examination of big data's benefits, drawbacks, meaning, and characteristics is needed. The primary goal of this research is to gather information on the various open-source big data tools and platforms that are used by various organizations. In this paper we use a three perspective methodology to identify the strength and weaknesses of the workflow in a open source big data arena. This helps to establish a pipeline of workflow events for both researcher and entrepreneur decision making.
The Elongation Factor 2 Genes of Saccharomyces cerevisiae 1193

The elongation factor 2 (EF-2) genes of the yeast Saccharomyces cerevisiae have been cloned and characterized with the ultimate goal of gaining a better understanding of the mechanism and control of protein synthesis. Two genes (EFT1 and EFT2) were isolated by screening a bacteriophage X yeast genomic DNA library with an oligonucleotide probe complementary to the domain of EF-2 that contains diphthamide, the unique posttranslationally modified histidine that is specifically ADP-ribosylated by diphtheria toxin. Although EFT1 and EFT2 are located on separate chromosomes, the DNA sequences of the two genes differ at only four positions out of 2526 base pairs, and the predicted protein sequences are identical. Genetic deletion of each gene revealed that at least one functional copy of either EFT gene is required for cell viability. Messenger RNA levels of yeast EF-2 parallel cellular growth and peak in mid-log phase cultures. The EF-2 protein sequence is strikingly conserved through evolution. Yeast EF-2 is 66% identical to, and shares over 85% homology with, human EF-2. In addition, yeast and mammalian EF-2 share identical sequences at two critical functional sites: (i) the domain containing the histidine residue that is modified to diphthamide and (ii) the threonine residue that is specifically phosphorylated in vivo in mammalian cells by calmodulin-dependent protein kinase 111, also known as EF-2 kinase. Furthermore, yeast EF-2 also contains the Glu-X-X-Arg-X-Ile-Thr-Ile “effector” sequence motif that is conserved among all known elongation factors, and its GTP-binding domain exhibits strong homology to the G-domain of Escherichia coli elongation factor Tu (EF-Tu) and other G-protein family members. Based upon these observations, we have
Septernber 1986 SERVICE MECHANISM CONTROL AND ARRIVAL CONTROL OF A TWO-STATION TANDEM QUEUE Sh

We analyze a controlled queueing system with two independent exponential service stations arranged in tandem. Our model is constructed by two control problems, The first one is arrival eontrol in whieh the system is controlled by accepting or rejecting arriving customers. And second one is service mechanism control in which decision maker selects a station to be served, We formulate our model as a serni-Markov decision process'and transition of state is represented by shift operator. Using the iteration method the monotomicity properties of the optimal policy are established.
Mineral composition, bioactive compounds and antioxidant activity of Salvia hispanica L as affected by thermal and non-thermal treatments

In this study, the effect of thermal treatments (roasting and autoclave) and non-thermal treatments (soaking and germination) on total phenolic content, total flavonoid content, antioxidant activity and bioavailability of minerals of chia seed was evaluated. Results showed thermal treatments increased the total phenolic content in samples such that the total phenolic content increased from 0.95  0.1 mg (GAE/g) (control sample) to 1.32  0.12 mg (GAE/g) (roasted sample) and 1.11  0.1 mg (GAE/g) (autoclaved sample). Soaking reduced the total phenolic content in samples while germination increased the amount of total phenolic content in the samples. Using the roasting treatment had no significant impact on the total flavonoid content of samples, while using the autoclave, soaking and germination treatments reduced the total flavonoid content of samples. Roasting and autoclaving increased the antioxidant activity of samples while soaking reduces the amount of antioxidant activity among the samples and germination had no considerable effect on the antioxidant activity of samples. Moreover, germination treatment increased the macro and micro elements of minerals in samples. Thermal treatment (roasting) had no significant impact on the amount of minerals and only increased the Fe 2+ in samples. FTIR Spectra showed thermal treatment reduced the amount of polysaccharide (1740 -1750 cm -1 ) and protein /lipid (2800-3000 cm -1
On the relation between variability and creativity: a summary of conceptual work and advancements from applied research

Creativity, or previously unobserved behavior, is a topic of interest to scientists and the general public alike. Researchers outside behavior analysis have focused on creativity as a trait. Behavior analysts, however, have focused on the variables that give rise to novel responses. Conceptual work has included discussions of environmental variables that may promote creativity, the role of the response class, and the selective nature of reinforcement. Most basic researchers, and some applied researchers, have focused on response sequences. Although fruitful in understanding variability as an operant dimension, these limited response classes have prevented a more robust understanding of novelty. Following the development of the lag schedule, applied researchers began using lag schedules to increase complex behavior such as responses to questions, social skills, and martial arts skills. This applied literature has provided intriguing evidence that variability is a key contributor to novelty, thus bringing creativity well into our scientific understanding of behavior.
S0022029919000281jra 188..192

The aim of this study was to investigate the effect of 17β-estradiol on mammary tight junctions in cows in late lactation. The experiment included five non-pregnant cows around day 290 in lactation. The cows received injections of 17β-estradiol for six days. The effect of exogenous 17β-estradiol on milk yield, milk composition and lactose in plasma and lactose in urine was investigated before, during and after the treatment. Milk yield decreased after 17β-estradiol injections and lactose in plasma and urine increased, showing an effect on the integrity of the mammary tight junctions. However, there was a delay between hormone injections and the decrease in milk yield and opening of tight junctions, indicating that other factors are involved. A high correlation between lactose in urine and blood plasma was found. More than 30% of the total lactose production was lost in urine after 17β-estradiol treatment.
ERASMUS UNIVERSITY ROTTERDAM Erasmus School of Economics Bachelor Thesis Quantitative Finance Partial Least Squares and Penalized Regression in Time Series for Macroeconomic Forecasting

Many studies have applied factor models to reduce the dimension of the subspace spanned by the predictors through factor analysis. This paper revisits partial least squares to investigate the forecasting performance when this reduction is related to the forecast goal. The most well-known method to estimate the common factors, called principal components, is used for comparison. This study revisits three diﬀerent approaches of partial least squares to investigate whether forecasting accuracy can be improved over this widely used factor forecasting method. In addition, a regularization and variable selection method, called the elastic net, is applied to the same data from the Stock and Watson database, as another method to forecast while the dimension among the predictors is reduced. One static and one dynamic partial least squares approach show good improvements over the principal components method. The elastic net method has relatively good forecast accuracy, but fails to improve the forecast performance of principal components in most cases.
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INFLUENCE OF PHENOL AND SUGAR INTERACTIONS ON ANTIOXIDANT ACTIVITY OF POMEGRANATE JUICE

Nowadays, people are focusing on antioxidant-rich food due to its benefi cial effect on health. Thus, the goal of this study was to investigate the interactions between catechin, quercetin, and gallic acid in the presence of sugars (sucrose and trehalose) in complex food matrix such as pomegranate juice. Antioxidant activity (AOA) was measured by three different methods, DPPH and ABTS radical scavenging activity and ferric reducing antioxidant power (FRAP). In this paper, fundamental differences among used AOA measuring methods were confi rmed, which can be traced back to interactions occurring between phenols and/or sugars. Even though addition of individual phenols increased AOA of mixtures, in the majority of binary and ternary mixtures antagonistic effects were observed. Positive effect of sugar addition was more pronounced in binary mixtures but the results were highly dependent on used AOA method.
The Role of accounting information in decision-making processes in a German dairy cooperative

International management accounting research has largely examined the use of accounting information in relation to decision-making strategies of top managers by focusing on evidence in the Anglo-American contexts. However, very little rigorous research has been conducted in other countries, which may have different historical, political, economic and social contexts largely because of the assumption that these Anglo-American strategies and practices are equally applicable and relevant in other countries. Rejecting these simplistic assumptions, this study examines the role of accounting information in a German cooperative and examines the political and economic aspects of decision-making by top managers. The objective is to show how the board of directors and senior managers use accounting information as part of their decision-making strategies and importantly how this use of accounting information is influenced by Germany’s unique political, cultural, economic, social, legal and historical environment. This case study applies institutional theory in order to analyse the impact and influence of the broader institutional environment on accounting and its role in decision-making. Indeed, this case study of a German dairy cooperative, provides evidence of the uniqueness of decision-making strategies in Germany and identifies the integration of accounting and specific strategic objectives in the decision-making process. The findings indicate a greater focus on understanding important contextual influences than a dependency on narrowly defined technical aspects of accounting information. Additionally, strategies, long-term orientation and greater focus on participation are of particular importance. Moreover, decisions are based to a greater extent on both quantitative and qualitative data, which are evaluated in relation to the broader environment. In light of the ongoing globalisation process, the awareness of differences in decision-making processes will contribute to a better understanding of the role of management accounting in the globalising world. This research has significant implications for the international application of management accounting procedures and practices in decision-making processes. Multinational enterprises, governments and researcher would benefit from such insights into the utilisation of accounting information in various national contexts.
A time-scale transformation approach to prescribed-time stabilisation of non-holonomic systems with inputs quantisation

This article addresses the problem of global stabilisation using state feedback for a kind of uncertain non-holonomic systems in chained form. Two distinct characteristics of this study are that the considered system suffers from the input-quantised actuator, and the system states are expected to converge to zero in prescribed finite time. To address these, a time-scale transformation, that can change the original stabilisation into the finite-time stabilisation of the transformed one, is first introduced. Then, under the new framework of equivalent transformation, a quantised state feedback controller that achieves of the performance requirements is developed with the aid of the recursive technique. Finally, simulation results of a unicycle-type mobile robot are provided to confirm the efficacy of the proposed approach.
Can treeshelter rescue reforestation under deer foraging pressure? Effects on seedling growth, protection, and decision making

Deer browsing damage is a serious problem in woodland ecosystems and forestry in various regions of the world (Gill and Beardall 2001), including Japan (Takatsuki 2009). In Japan, the area of forestry negatively affected by wild animals reached 4,900 ha in 2019, of which deer accounted for more than 70% (Forestry Agency 2021). Although deer exclusion fences have been employed, mainly at plantation sites for conifer timber production, the associated high cost and amount of labor constrained its application in some cases. Deer hunting has already been carried out to the maximum degree possible, and the current cohort of hunters is aging without younger replacements, precluding the possibility of meaningfully increasing the number of deer hunts any further in Japan. This situation may be similar in various parts of the world suffering from deer browsing damage. Therefore, development of alternative options that can be selected according to the forest conditions and deer population density is required to protect seedlings effectively from deer browsing. Treeshelters are single tree protection devices that have been used mainly in Europe and North America (Potter 1991). They have been used in Japan since the 1990s, but their effectiveness has proven to be variable, with many cases of failure. Possible factors included the hot summer conditions in Japan and the species characteristics of major timber trees such as Japanese cedar (Cryptomeria japonica) and hinoki cypress (Chamaecyparis obtusa), but such cases in Japan have never been reported in international journals. In this special feature, we will mainly focus on treeshelters as countermeasures against deer browsing damage, and provide information on their effects and limitations, estimation of deer density, which can be a criterion for decision making about selecting countermeasures, and findings on the latest research including countries other than Japan.
Sparse reconstruction methods in fluorescence diffuse optical tomography

Fluorescence diffuse optical tomography (FDOT) is an imaging modality that uses near infrared (NIR) light to excite the fluorophore injected into the tissue, and to reconstruct the fluorophore concentration from boundary measurements. FDOT image reconstruction is a highly ill-posed inverse problem. However, the fluorophore distribution in FDOT images is often very sparse. This thesis aims to develop methods and algorithms that exploit the sparsity of fluorophore distribution to address the ill-posedness of the FDOT image reconstruction problem. The first part of the thesis focuses on designing sparsity promoting regularization combined with specific a priori information for FDOT image reconstruction. The second part of the thesis focuses on addressing the ill-posedness of the FDOT inverse problem in the compressive sensing (CS) framework. CS theory guarantees exact recovery of sparse signals if the underlying forward sensing matrix is incoherent. We introduce two methods to reduce the coherence of the FDOT forward sensing matrix, and thereby to improve the image reconstruction performance: (1) We design a preconditioning matrix applied to the FDOT forward sensing matrix at the image reconstruction stage. (2) We design CS-based light illumination and detection patterns that can be applied at the data acquisition stage. We demonstrate the performance of our methods in 3D numerical simulations, and using real data obtained from a phantom experiment. Finally, we note that while our interest lies primarily in the FDOT imaging problem, the methods and algorithms developed in this thesis are also applicable to other partial differential equation-based inverse coefficient estimation problems.
Kawakatsu * GARCH with generalized Pareto tail

Abstract: This paper proposes the use of a spliced distribution with generalized Pareto tail for financial risk management. The proposed distribution is tailored to flexibly capture the heavy tail in asset return distribution. The parameters of the distribution can be estimated jointly with a conditional heteroskedasticity model. The estimated parameters can then be used to produce tail risk forecasts for risk management purposes. The use of the proposed distribution is illustrated by evaluating tail risk forecasts for a number of major stock indices.
Prevention and reduction of pain, bruise and hematoma by ‘Moist Ice Pack’ application on the site of subcutaneous heparin injection

Health status of individuals may be positively influenced by their well-being and experience of comfort. The relationship between comfort and health status must be known by nurses to initiate any term of deliberate action . Subcutaneous heparin is prescribed for impaired mobility or prolonged bed rest. It is an extremely important part of the treatment regime for many hospitalized and non-hospitalized patients. 1 Use of heparin as part of the patients' anticoagulant therapy is one intervention that can be implemented to prevent the formation of thrombi. 1 Subcutaneous administration of unfractionated and low molecular weight heparin has shown to cause pain, bruising and hematoma at the injection site by interfering with the body's clotting mechanism. 2-3 Injection site pain, bruising and hematoma are often the result of local tissue damage that occurs during the administration of heparin solution. 2 The present study was taken up with the objective to study the prevention and reduction of pain, bruise and hematoma by 'Moist Ice Pack' application on the site of subcutaneous heparin injection administered to the patients. The sample size consisted of 100 injection sites each in the experimental and control group respectively. Recognizing the physiological responses of the cell/ tissue to injury or trauma, the 'Moist Ice Pack' procedure was performed for 5 minutes at the subcutaneous heparin injection site twice daily for three days in the experimental group. Assessment of pain, bruise and hematoma were carried out at 12, 48 and 72 hours in both the groups. Results were statistically significant in favour of the use of moist ice pack while comparing the pain and bruise at subcutaneous injection site between experimental and control group at 12, 48 and 72 hours in the current study. (p<0.05 & p< 0.01).
The local character of perspective organization

The nature of perceived perspective orientation of 3-0 objects in space was examined for Necker cube-like ambiguous figures. Using adaptation paradigms, it was found that processes of perspective orientation have restricted spatial extents with estimated diameters of about 3 deg. It was possible to fatigue these processes selectively, but independence was found to be incomplete. It is concluded that perspective orientation is not one global process, but consists of multiple, locally defined processes, whose spatial characteristics seem to be determined at an early stage of visual processing, but are integrated more globally.
IRDL: an IR definition language for SSA compilers

Designing compiler intermediate representations (IRs) is often a manual process that makes exploration and innovation in this space costly. Developers typically use general-purpose programming languages to design IRs. As a result, IR implementations are verbose, manual modifications are expensive, and designing tooling for the inspection or generation of IRs is impractical. While compilers relied historically on a few slowly evolving IRs, domain-specific optimizations and specialized hardware motivate compilers to use and evolve many IRs. We facilitate the implementation of SSA-based IRs by introducing IRDL, a domain-specific language to define IRs. We analyze all 28 domain-specific IRs developed as part of LLVM's MLIR project over the last two years and demonstrate how to express these IRs exclusively in IRDL while only rarely falling back to IRDL's support for generic C++ extensions. By enabling the concise and explicit specification of IRs, we provide foundations for developing effective tooling to automate the compiler construction process.
LaBaNI: Layer-based Noise Injection Attack on Convolutional Neural Networks

Hardware accelerator-based CNN inference improves the performance and latency but increases the time-to-market. As a result, CNN deployment on hardware is often outsourced to untrusted third parties (3Ps) with security risks, like hardware Trojans (HTs). Therefore, during the outsourcing, designers conceal the information about initial and final CNN layers from 3Ps. However, this paper shows that this solution is ineffective by proposing a hardware-intrinsic attack (HIA), Layer-based Noise Injection (LaBaNI), which successfully performs misclassification without knowing the initial and final layers. LaBaNi uses the statistical properties of feature maps of the CNN to design the trigger with a very low triggering probability and a payload for misclassification. To show the effectiveness of LaBaNI, we demonstrated it on LeNet and LeNet-3D CNN models deployed on Xilinx's PYNQ board. In the experimental results, the attack is successful, non-periodic, and random, hence difficult to detect. Results show that LaBaNI utilizes up to 4% extra LUTs, 5% extra DSPs, and 2% extra FFs, respectively.