Miracle-dz/UniFAR-FTUs huggingface dataset:
Measurement Plans with unsupervised learning data analysis

Software measurement processes require to consider more and more data, measures and metrics. Measurement plans become complex, time and resource consuming, considering diverse kinds of software project phases. Experts in charge of defining the measurement plans have to deal with management and performance constraints to select the relevant metrics. They need to take into account a huge number of data though distributed processes. Formal models and standards have been standardized to facilitate some of these aspects. However, the maintainability of the measurements activities is still constituted of complex activities. In this paper, we aim at improving our previous work, which aims at reducing the number of needed software metrics when executing measurement process and reducing the expertise charge. Based on unsupervised learning algorithm, our objective is to suggest software measurement plans at runtime and to apply them iteratively. For that purpose, we propose to generate automatically analysis models using unsupervised learning approach in order to efficiently manage the efforts, time and resources of the experts. An implementation has been done and integrated on an industrial platform. Experiments are processed to show the scalability and effectiveness of our approach. Discussions about the results have been provided. Furthermore, we demonstrate that the measurement process performance could be optimized while being effective, more accurate and faster with reduced expert intervention.
Nudge Marketing in E-Commerce Businesses

: Nudge Marketing is a strategy which is used by many companies and organization to influence a customer’s decision indirectly without him knowing by providing the person with suggestions and reinforcements. In simple words, Nudge Marketing is planting of an idea in a person’s mind in order to encourage the customer to behave in a particular way without direct persuasion. Nudge Marketing is used in different sectors in different ways to persuade a customer’s decisions in the companies favour. Nudging helps the e-commerce sector in influencing a customer to buy a product. A fast growing sector like e-commerce needs to attract customers and therefore nudging forms an integral part of an e-commerce company to attract customers.
Plug and Produce for Industry 4.0 using Software-defined Networking and OPC UA

The manufacturers are in quest for flexible and agile production facilities capable of accommodating changes to product specification. The need for flexible production facilities is stemming from the desire for customized products and fluctuating market trends. Industry 4.0 impels for adaptable manufacturing plants by employing intelligent devices and advanced communication technologies. The complexity of the configuration process determines the adaptability of production facilities to accommodate changes to the production process.We propose a systematic integration process and multi-level production system using Software-defined Networking (SDN) and OPC Unified Architecture (OPC UA) to reduce the configuration complexity to a Plug and Produce level. OPC UA, as a service-oriented middleware, provides the tool-set for semantic modeling and automatic device discovery. However, due to the multicast nature of the OPC UA discovery mechanism, the existing approaches require intelligence at the device level to select the desired device to connect to. In contrast, our proposed solution shifts the intelligence to a centralized SDN controller to route multicast traffic to facilitate device discovery. The combination of an SDN controller and OPC UA discovery enables the integration of new devices by adding more intelligence to the device discovery.
INFORMATION SYSTEMS REENGINEERING APPROACH BASED ON THE MODEL OF INFORMATION SYSTEMS DOMAINS

The paper considers current problems of integration of Information Systems (IS), limitations of current methods of IS Reengineering and limitations of existing approaches for Data Integration in Relational Databases. The performed analysis shows the drawbacks of existing integration approaches. To increase effectiveness of IS integration at the conceptual level, the paper proposes a new technique for the integration of relational databases on the base of the model of an IS Domain (ISD). The approach allows to automate the synthesis of conceptual schemas for the different layers of ISDs and results in the increasing effectiveness (saving labour and time efforts) of the problem solution. The technique is based on the mapping values of the properties of instances of composing ISD objects.
Sketching promote student learning ? A review from Undergraduate Geology

Sketching is an important way in science and other disciplines for illustrating complex concepts with more digestible formats and has therefore long been engrained in the field of Geology either for research or teaching purposes. The following report outlines an assessment of a compulsory second year undergraduate geology module where illustrations are implemented and form a key part of the student’s learning process. The intended learning outcomes are assessed through the submission of a practical folder and an exam including a practical component. The module receives critical but highly positive reviews from the student cohort who achieve overall good marks. However, a key difference in student performance between the practical components of the exam compared to that of the coursework is apparent. Practical components are problem-based and intended to offer the students an opportunity to engage with the complexity of a given task and sketching is intended to increase the student-learning process through exploration. The benefits of sketching are unequivocally clear but it remains open whether students use illustrations to enhance the learning process to their full potential. Introduction of a learning-cycle approach appeared to have improved student performance and is recommended to promote student
Thyristor Controlled Series Compensator based Optimal Reallocation of Generators for Contingency Management

Privatization of the power industry has made proper utilization of the available resources a compulsory requirement. Optimal power flow (OPF) is an ideal solution to the problem. At the same time, stable operation of the power systems in both normal and contingency condition is of vital importance. Use of FACTS devices is a good method to stop further contingencies in the power system. In this paper, a combined index based strategy for the optimal placement of Thyristor Controlled Series Compensator (TCSC) and optimal tuning of generators using Krill Herd Algorithm has been proposed for contingency management. The contingency analysis has been done using a new method, namely, rapid contingency ranking technique (RCRT). The TCSC has been placed on the basis of an index which is a combination of Line Utilization Factor (LUF) and Fast Voltage Stability Index (FVSI). A multi-objective function has been chosen for tuning the generators. The multi-objective function includes voltage deviation, active power generation cost and transmission line loss. The proposed method has been tested and implemented on an IEEE 30 bus system. Privatization of the power industry has made proper utilization of the available resources a compulsory requirement. Optimal power flow (OPF) is an ideal solution to the problem. At the same time, stable operation of the power systems in both normal and contingency condition is of vital importance. Use of FACTS devices is a good method to stop further contingencies in the power system. In this paper, a combined index based strategy for the optimal placement of Thyristor Controlled Series Compensator (TCSC) and optimal tuning of generators using Krill Herd Algorithm has been proposed for contingency management. The contingency analysis has been done using a new method, namely, rapid contingency ranking technique (RCRT). The TCSC has been placed on the basis of an index which is a combination of Line Utilization Factor (LUF) and Fast Voltage Stability Index (FVSI). A multi objective function has been chosen for tuning the generators. The multi-objective function includes voltage deviation, active power generation cost and transmission line loss. The proposed method has been tested and implemented on an IEEE 30 bus system.
A Study about Adaptive Music through Analysis and Design

The purpose of this essay has been to research about adaptive music by analyzing and designing a music system which could handle adaptive music for our game A Story About My Uncle. This essay also goes through the thought process and techniques used when composing adaptive music, for example vertical re-orchestration and horizontal re-sequencing. For designing the system, I used an object oriented analysis and design approach, utilizing two of its models, the use case model and the class model. With the help of these models and a few system requirements based on the music composition, I was able to design a system which handles the composed music as planned. Although the system works in-game, there are still some issues that should be resolved to perfect the adaptive music experience.
Somatic embryos response against iron stress in in-vitro culture condition of East Kalimantan (Indonesia) rice

Abstract. Nurhasanah, Ramita, Supriyanto B, Sunaryo W. 2019. Somatic embryos response against iron stress in in-vitro culture condition of East Kalimantan (Indonesia) rice. Biodiversitas 20: 2288-2294. Iron toxicity is major abiotic stress that limits rice production in most tropical regions. A high iron concentration will lead to the abnormal growth and development, decreased yield, and even death of the plant. Compared to other recommended treatments to overcome iron toxicity problems, the use of tolerant cultivars is considered the most effective and efficient approach. In this study, the tolerant character against iron stress was developed using East Kalimantan local rice cultivars through somaclonal variation and in vitro selection. The somatic embryos from four indica rice cultivars, Mayas Pancing, Gedagai, Siam, and Serai, were selected in iron-containing media. Five levels of iron concentrations were applied in the selection media 0; 27.8; 55.6; 83.4, and 111.2 mg.L-1 of FeSO4.7H2O. The media acidity was adjusted to pH 4.00 for iron-containing media and 5.8 for the zero iron concentration (without iron). The results showed that the survival ability of embryonic calli (EC) was significantly influenced by the level of iron concentration. The absence of an iron source in the selection media led to lower EC survival. The percentage of EC survival ability was even lower than that of the presence of two folds of normal iron concentration (55.6 mgL-1 of FeSO4.7H2O). Three and four folds of the normal iron concentration (83.6 mg.L-1 and 111.2 mg.L-1 FeSO4.7H2O) mostly produced the lowest percentage of EC survival for the four local rice cultivars. Mayas Pancing had better tolerance to iron stress and the highest EC survival number compared to other genotypes. The role of genotype was clearly observed in the regeneration ability of EC. Plantlets were only produced on the EC from the Serai Gunung and Siam cultivars.
POTENTIAL OF INDIGENOUS PHOSPHATE SOLUBILIZING BACTERIA FROM FRESH-WATER INCEPTISOLS TO INCREASE SOLUBLE P

This research was done to obtain phosphate solubilizing bacteria (PSB) indigenous from fresh-water Inceptisols that were highly capable of dissolving soil P. The research consisted of two sub-experiments. Sub-experiment I was to isolate the indigenous PSB from rhizosphere of rice, corn, and beans that were grown on fresh-water Inceptisols. Sub-experiment II was to study the ability of isolated PSB to dissolving soil saturated with AlPO4 with a dossages of 0, 10, and 20 g of AlPO4. Isolation and count of the bacterial population obtained were PSB population of 3.06-50.27x10 cfu g soil and 5 isolates able to form clear zones on the Pikovskaya’s medium. In soil saturated with 10 and 20 g AlPO4 kg, the best isolate increasing the P availability was I1. The total P increases were significantly correlated with the increases of available P. P concentration in the soil as an indication of phosphate solubilization capacity. The increases of soil pH value were significantly correlated with the increases of soluble P. In the acid soils, PSB blocked P sorption by binding elements and reducing the toxicity of Al and Fe on plants.
LITERATURE REVIEW AND HYPOTHESIS DEVELOPMENT 2 . 1 Risk Free Securities & Mutual Funds

Purpose: This study examined the performance of mutual fund and mutual fund manager in Pakistan during the period of Jul, 2006 to Jun, 2016. The objective is to found the funds’ performance through risk and return and ability to forecast the funds return by mutual fund manager. Methodology/Design: The data will be used from the authentic source of SBP publication (State Bank of Pakistan) and MUFAP (Mutual fund association of Pakistan) of 54 mutual funds working in Pakistan. The data will be analyzed by using Statistical tests of Sharpe ratio, Sortino ratio, Treynor measure and Information ratio. Results: Results indicated that fund returns are found positive and significant against risk free securities but funds return against the market return and fund manager ability to forecast fund returns is found negative and insignificant the rate of return of an investment made in mutual funds. Originality/Value: Islamic funds and Sortino and Information ratio based on our knowledge have not been studied by the previous researchers.
Cusp Density in Nested Octahedral Links

This paper studies link invariants of generalized fully augmented links. We look specifically at nested octahedral links. We outline the process of augmenting and nesting a link. We geometrically realize the link complement as hyperbolic polyhedra using a cell decomposition given by Purcell. Finally, we prove cusp density is equal to 3/V8 for nested octahedral links.
jmbReview Development of an Equine Antitoxin by Immunizing the Halla Horse with the Receptor-Binding Domain of Botulinum Neurotoxin Type A 1

Development of an Equine Antitoxin by Immunizing the Halla Horse with the Receptor-Binding Domain of Botulinum Neurotoxin Type A1 Na Young Kim, Kyung-eui Park, Yong Jin Lee, Yeong Mun Kim, Sung Hyun Hong, Won Rak Son, Sungyoul Hong, Saehyung Lee, Hye Bin Ahn, Jaehyuk Yang, Jong-pil Seo, Yoon-Kyu Lim, Chi Ho Yu, Gyeung Haeng Hur, Seong Tae Jeong, Hun Seok Lee, Kyoung Song, Tae Jin Kang, Young Kee Shin, Joon-Seok Choi*, and Jun Young Choi*
EMOTIONAL COMPETENCE AND AGGRESSION WITHIN STUDENTS OF SPORT AND PHYSICAL EDUCATION AND STUDENTS OF ELECTRONIC ENGINEERING

Examining aggression and emotional control in students of various professional orientations, especially students of sport studies and physical education, is of great practical importance. It is also very important for each society to act in direction of controlling and guiding the aggression in all aspects of life, especially controlling and guiding aggression in students of sport studies and physical education. Aggressive and anti-social behavior has become one of the major issues in modern society and it is placed in the limelight of various institutions and social activities. The sample of this research consists of 130 examinees, students of the Faculty of Sport and Physical Education and the Faculty of Electronic Engineering in Nis.The instruments used in the research are: the Aggression Questionnaire (A-87; Zuzul, 1987.) for measuring the level of aggression and the Emotional Competence Questionnaire (ECQ-45; Taksic, 2002. b) for measuring the level of emotional competence. The results obtained in the research reveal that students of sport studies have more pronounced aggression (especially the physical and verbal forms of aggression) when compared toward the students of Engineering, while the students of Engineering have more pronounced indirect aggression, which is characterized by expressing and releasing the negative energy toward the objects which are not directly connected to the situation in which the aggression was accumulated.
Accelerating Raw Data Analysis with the ACCORDA Software and Hardware Architecture

The data science revolution and growing popularity of data lakes make efficient processing of raw data increasingly important. To address this, we propose the ACCelerated Operators for Raw Data Analysis (ACCORDA) architecture. By extending the operator interface (subtype with encoding) and employing a uniform runtime worker model, ACCORDA integrates data transformation acceleration seamlessly, enabling a new class of encoding optimizations and robust high-performance raw data processing. Together, these key features preserve the software system architecture, empowering state-of-art heuristic optimizations to drive flexible data encoding for performance. ACCORDA derives performance from its software architecture, but depends critically on the acceleration of the Unstructured Data Processor (UDP) that is integrated into the memory-hierarchy, and accelerates data transformation tasks by 16x-21x (parsing, decompression) to as much as 160x (deserialization) compared to an x86 core. We evaluate ACCORDA using TPC-H queries on tabular data formats, exercising raw data properties such as parsing and data conversion. The ACCORDA system achieves 2.9x-13.2x speedups when compared to SparkSQL, reducing raw data processing overhead to a geomean of 1.2x (20%). In doing so, ACCORDA robustly matches or outperforms prior systems that depend on caching loaded data, while computing on raw, unloaded data. This performance benefit is robust across format complexity, query predicates, and selectivity (data statistics). ACCORDA's encoding-extended operator interface unlocks aggressive encoding-oriented optimizations that deliver 80% average performance increase over the 7 affected TPC-H queries.
Mental Simulation with Self-Supervised Spatiotemporal Learning

Mental simulation – the capacity to imagine objects and scenes in order to make decisions, predictions, and inferences about the world – is a key feature of human cognition. Evidence from behavioral studies suggest that representations of visual imagery are spatial and sensitive to the causal structure of the world. Inspired by how humans anticipate future scenes, we aim to leverage state-of-the-art techniques in deep learning and computer vision to tackle the problem of spatiotemporal predictive learning in a self-supervised manner. We perform explorations across three architectural design choices: (i) the importance of 2D-convolution vs. 3D-convolution inside the cell of recurrent neural networks, (ii) the effectiveness of residual connections in stacked long short-term memory models for remembering spatial information over long time horizons, and (iii) the balance between l1 norm and l2 norm components in the objective function. Our extensive evaluations demonstrate that finetuning with residual connections achieves state-of-the-art performance on the Moving MNIST and KTH Action benchmark datasets. Potential application areas include weather forecasting, traffic flow prediction, and physical interaction simulation. Our source code is made available online 1. 1https://github.com/kevinstan/video_prediction
Dennis Sparks Practical Solutions for Teacher Stress

Developing meaningful solutions for the problem of teacher stress and burnout is more complex than it may appear . It involves change in human attitudes and behavior, a type of change very difficult to bring about, even when an individual's job satisfaction and physical health are at stake. It is one thinc to list stressors and possible solutions; it is another thing to act on what we already know to be in our best interest . A ''holistic approach" to the problem of teacher stress and burnout recognizes the complexity of this problem . Mind and body are viewed as inter connected . Thoughts, feelings, and physiological responses are related. 'Each of us is seen as ultimately responsible for our health and happiness because we make numerous decisions each day that influence to a large extent what we will become, both emotionally and physically . The holistic approach assumes that problems will be resolved most effectively when they are approached on several fronts simultaneously . Con sequently, teachers need a diverse set of skills and understandings related to stress and burnout management. These skills and understandings can be defined and taught . Osipow (1979), in discussing a general orientation to the improvement of occupational mental health, suggests :
Solving the Problem of the Accents for Speech Recognition Systems

Since the speech recognition system has been created, it has developed significantly, but it still has a lot of problems. As you know, any specific natural language may owns about tens accents. Despite the identical word phonemic composition, if it is pronounced in different accents, as a result, we will have sound waves, which are different from each other. Differences in pronunciation, in accent and intonation of speech in general, create one of the most common problems of speech recognition. If there are a lot of accents in language we should create the acoustic model for each separately. When the word is pronounced differently, then the software can become confused and misunderstand (perception) also correctly what is pronounced. The same can also occur, if the human speaks slowly or vice versa quickly, then the program expects. There are any partial decisions (solutions) but they don’t solve all problems. We have developed an approach, which is used to solve above mentioned problems and create more effective, improved speech recognition system of Georgian language and of languages, which are similar to Georgian language. In addition, by the realization of this method, it is available to solve the artificial intelligence issues, such as arrange sound dialogue between computer and human, independent from any accents of any languages. 
Binder burnout and sintering kinetic study of alumina ceramics shaped using methylcellulose

Ceramic components are generally processed by the techniques such as compaction, extrusion, injection molding, casting etc., and the selection of forming method is generally based on the complexity of the shapes. Additives such as binders, plasticizers, surfactants and lubricants, which are generally organic in nature, play a significant role to ensure the flowability of the mass which is critical in shaping of ceramics. Alumina (α-Al2O3) powder was subjected to torque rheometric studies to identify Critical Volume Binder Concentrations (CBVC) corresponding to specific processing regimes. An initial torque value of 3-4Nm for compaction followed by 6-7N-m for extrusion and 2-3N-m for casting regimes were observed. Viscosities of the pre-mixes prepared by the addition of methyl cellulose (C6H7O2 (OH)x(OCH3)y, (where x = 1.0-1.5 and y = 2-1.45) as a binder were also found to exhibit a similar trend in viscosity, corresponding to CBVC torque values and are shaped into green specimens. Green strength of the standard specimens (45 × 4 × 3 mm) was estimated through 3-point bend tests and exhibited a good correlation with the binder content. Binder burnout characteristics were also elucidated by TG/DSC technique and activation energy estimated is 75-110 kJ/mol for the thermal degradation of methylcellulose binder. Activation energy of 883 ± 45 kJ/mol was estimated through kinetic analysis of sintering by the construction of the Master Sintering Curves (MSC).