Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Acetyl Acetone on Zinc Uptake and Oxidative Stress in Cucumber (Cucumis sativus)

The purpose of this research is to determine the impacts of acetyl acetone on zinc uptake and oxidative stress in cucumber (Cucumis sativus) seedlings grown in hydroponic solutions. Thirty seedlings of cucumber were collected from Kura local government area Kano, Kano state. Concentrations of Zn2+ in the hydroponics were varied from 0.000 to 0.025 mol dm-3 and of acetyl acetone were also varied from 0.000 to 0.025 mol dm-3. The seedlings were replanted and kept at Department of Agriculture Kano University of Science and Technology, Wudil garden. The weight of plants increased significantly (p 0.05) with concentration of acetyl acetone in the absence of Zn2+. In the presence of acetyl acetone and Zn2+ plant weight decreased highly insignificant (p>0.05). Leaf fall was observed from plants in all hydroponic, the number of falling leaves was insignificant (p>0.05) with concentration of Zn2+ but it is insignificant (p>0.05) with concentration of acetyl acetone and highly insignificant in the presence of acetyl acetone and Zn2+ (p>0.05). The volume of the solution decreased highly significant (p 0.05). The pH values of treated hydroponics before replanting and after harvest were insignificant with increased in the concentration of Zn2+ (p>0.05). Both shoot and root zinc accumulated were insignificant at lower concentration of Zn2+ (p>0.05) and significant at higher concentration of Zn2+ (p 0.05) at lower concentration of Zn2+ and significant at higher concentration of Zn2+ (p>0.05) in treated plants compared to control. The chlorophyll, carotenoid and proline content varied in the presence and absence of acetyl acetone and or combination of the two, with (p 0.05).
THE IMPACT OF INFORMATION COMMUNICATION TECHNOLOGY (ICT) ON NIGERIA EDUCATION SYSTEM

The impact of information communication technology (ICT) on Nigeria education system was the crux of matter for this paper. Information technology is the use of electronic equipment to process, store and disseminate information to, and over s wide audience. It also refers to technologies used in collecting, storing, editing and passing on information in various forms. The impact of ICT on Nigeria education system includes supporting learning and providing learners with technological advancement, helping teachers to assess information, assisting in their skills development and providing more engagement for greater productivity etc. Recommendations includes: the connection of public and private schools to the national grid, the supply of uninterrupted and affordable power supply, government formulation of national ICT policy, training and retraining of ICT staff and learners the provision of ICT facilities in tertiary institutions and making ICT learning compulsory from primary to tertiary school levels Cooke (1993) views education as the process of transferring knowledge from a teacher to a learner allowing both persons explore and come to full understanding of all that is in their domain. Fafunwa (1989) describes education as the aggregate of all the processes by which a child or adult develops the abilities, attitudes and other forms of behaviour, which are of positive value to the society in which he lives. Education facilitates realization of self potential and talent of an individual, and can be generally seen from three dimensions; development of knowledge, training of mental abilities and development of character (Akpan, 2009) One of the crucial functions of education is to adapt to the changing values of the fast changing societies in the world (Olayiwola, 2010) The challenges in education, especially in this 21 century, where advancement in Information and Communication Technology (ICT) has turned the world into a global village and has profited everybody (Jockeil Ojike & Ajie, 2009). Ojugo Osika, Ureigho, Aghware and Ugboh (2009), Rowe (1993) stressed that science and technology is our heritage and mankind's hope. It is the vision and mission of today’s education to ensure that students are scientifically literate to cope with technological changes of the information era. Information Communication Technology (ICT) is seen as the technology of creation, processing, storage, retrieval and transmission of data and information (Ajuonuma, 2010). According to Samni and Osungbemiro (2002) as cited by Ajuonuma (2010), ICT is the use of electronic equipment (especially computer) to process, store and disseminate information to, and over a wide audience. It refers to the technologies used in collecting, storing, editing and passing on information in various forms. ICT includes the use of communication satellites, radio, television, telephones, tape recorders, compact discs, floppy discs and personal computers. Multidisciplinary Journal of Research Development, Volume 22 No. 2, July, 2014
PARTICLE SIZE DISTRIBUTION APPLIED TO MILK POWDER REHYDRATION

Júlia d’Almeida Francisquinia, Evandro Martinsa, Isis Rodrigues Toledo Renheb, Luiz Fernando Cappa de Oliveirac,*, , Rodrigo Stephanic, Ítalo Tuler Perroned and Antônio Fernandes de Carvalhoa Departamento de Tecnologia de Alimentos, Universidade Federal de Viçosa, 36570-900 Viçosa – MG, Brasil Instituto de Laticínios Cândido Tostes, 36045-560 Juiz de Fora – MG, Brasil Departamento de Química, Universidade Federal de Juiz de Fora, 36036-330 Juiz de Fora – MG, Brasil Departamento de Ciências Farmacêuticas, Universidade Federal de Juiz de Fora, 36036-330 Juiz de Fora – MG, Brasil
The Metaphor of Boundary Crossing in Classical Sanskrit Literature

The paper deals with the metaphor the non-physical boundaries are physical boundaries in Classical Sanskrit literature (kāvya), especially in the mahākāvya (sargabandha) or the court epic genre. Several selected instances of the usage of this metaphor are analysed here in detail in their various contexts. In the stanzas discussed in the paper, the metaphor is skillfully elaborated by the authors: a man staying within/breaking/crossing the boundaries of law and/or propriety (maryādā) is most frequently metaphorically conceptualized as the ocean, normally staying within the boundaries of its shoreline (maryādā/velā) but violently overflowing them during universal destruction (pralaya).
Phylogenetic Study of Curvularia on Sorghum from Indonesia Based on ITS rDNA Sequence

Seven species of Curvularia were recorded from Indonesia, including species that pathogen to sorghum (Sorghum bicolor). The present study aims to determine four isolates of Curvularia isolated from sorghum in Indonesia using a combination of molecular phylogenetic analysis based on internal transcribed spacer (ITS) rDNA sequence and morphological examination. The results showed that the four isolates were genetically closed to C. lunata and C. dactyloctenicola. The morphological examination also insufﬁcient to determine the identity of the four Curvularia isolates from sorghum until species level. Therefore, additional sequences from the partial fragments of the glyceraldehyde-3-phosphate dehydrogenase and the translation elongation factor 1-a genes are necessary to determine the identity of the Curvularia sequences isolated from sorghum in Indonesia until species level.
STATISTICAL ANALYSIS ON THE CLIMATE – ORGANOLEPTIC PROFILE – CONTENT OF TRANS-RESVERATROL RELATION IN RED WINES FROM THE REGION OF NORTHERN BULGARIA

The study was carried out at the Institute of Viticulture and Enology (IVE) – Pleven, during the period 2015 2017. The object of the study was the red wines from Storgozia, Kaylashki Rubin, Trapezitsa, Rubin and Bouquet varieties, selected at IVE – Pleven by means of intraspecific and interspecific hybridization. A statistical analysis of the results obtained from the wine organoleptic evaluation, the weather conditions of the region and the content of the stilbene trans-resveratrol has been made. On average, for the three years of the investigation, the studied varieties could be divided into two groups. The first group had higher rates of trans-resveratrol and comprised Kaylashki Rubin (3.52 m mg/dm), Bouquet (3.18 mg/dm) at Pinot Noir as a control (3.46 mg/dm). The difference between them was insignificant and statistically unproven. The second group of varieties included Rubin (2.39 mg/dm), Trapezitsa (2.3 mg/dm) and Storgozia (1.77 mg/dm). It had significantly lower rates of trans-resveratrol compared to the first one. The difference between the varieties in this group was also statistically unproven. There was no significant difference in the tasting evaluations during the years of the study. The weather conditions throughout the vegetation period did not have a significant impact on wine quality.
CrowdPupil: A crowdsourced, pupil-center annotated image dataset

We present a dataset of pupil images and associated hand-annotated pupil centers, obtained through the method of crowd-sourcing. Acquisition of the points is explained and the dataset is presented. We present a comparison of two state-of-the-art pupil detection algorithms as a proposal towards public benchmarking of pupil detection algorithms. We invite the eye tracking community to test their own algorithms, share the results, and thereby advance the domain systematically. We present our plans for organizing a public pupil-detection challenge.
An introduction to particle size characterisation by DCS

Differential centrifugal sedimentation (DCS) is a novel and innovative, yet simple technique, which has become ‘reborn’ in recent years. Previous limitations and difficulties with the technique of sedimentation have been overcome using recent advances in technology, and some smart thinking regards instrumentation and disc design. DCS is now a powerful tool in measuring nano particle size distributions down to around 2nm. With the unique ability to resolve very close multi-modal particle distributions, and to distinguish extremely small shifts and changes in particle size, DCS is once more gaining in popularity. The practical range of the technique is from around 2nm right up to 80 micron (exact range will be dependent on density) , however the real benefits over and above more traditional so-called nano particle sizing techniques are generally noticed below around 300nm.
Exploring Cultural Intelligence Relationships with Growth Mindset, Grit, Coping and Academic Stress in the United Arab Emirates

Positive psychology seeks to understand what factors contribute to wellbeing and success. Accordingly, the present study explored relationships between cultural intelligence and factors related to academic success, namely growth mindset and grit, as well as academic stress and constructive coping. It also aimed to compare levels of cultural intelligence between third culture individuals (TCI) and non-third culture individuals (non-TCI). Data were collected from 200 multicultural university students in the United Arab Emirates. The results of correlation analysis confirmed a significant positive relationship between cultural intelligence and markers of academic success (grit and growth mindset). Higher levels of cultural intelligence were characteristic of individuals with lower academic stress. Multiple regression analysis showed that only cultural intelligence of three academic success measures including grit and growth mindset, significantly predicted constructive coping. Lastly, results of the independent sample t-test found no significant difference between TCI and non-TCI individuals, shedding new light on the process of acquisition of cultural intelligence. This study is an early contributor addressing the gap in understanding the role of cultural intelligence in multicultural academic settings. ملخص البحث : يبحث علم النفس الإيجابي في فهم العوامل التي تشارك في النجاح والحياة الطيبة، وفي هذا السبيل، كشفت هذه الدراسة العلاقة بين الذكاء الثقافي والعوامل المتعلقة بالنجاح الأكاديمي، وعلى وجه التحديد، عقلية النمو والمثابرة، وكذلك الإرهاق الأكاديمي والتأقلم البناء. كما استهدفت هذه الدراسة المقارنة بين مستويات الذكاء الثقافي بين أفراد الثقافة الثالثة وآخرين لا ينتمون إلى ذات الثقافة، حيث جمعت البيانات من مئتي طالب جامعي متعدد الثقافات في الإمارات العربية المتحدة. أكد تحليل الارتباط علاقة إيجابية ملحوظة بين الذكاء الثقافي وصناع النجاح الأكاديمي؛ أي عقلية النمو والمثابرة. وتبين أن الأشخاص ذوي مستويات الذكاء الاجتماعي الأعلى يتسمون بإرهاق أكاديمي أقل، وأظهر تحليل الانحدار المتعدد لثلاثة مقاييس نجاح أكاديمي، بما فيها عقلية النمو والمثابرة، قدرة كبيرة على التأقلم الإيجابي البناء. ختاما، لم تظهر نتائج (اختبار- ت) المستقل للمقارنة أي اختلاف ملحوظ بين أفراد ينتمون إلى الثقافة الثالثة وآخرين لا ينتمون إليها، ونكون بهذا قد ألقينا الضوء على منظور جديد لطريقة الحصول على الذكاء الثقافي. وتعتبر هذه الدراسة من الدراسات الأولى المعنية بردم الفجوة بين فهم دور الذكاء الصناعي في صنع النجاح الأكاديمي متعدد الثقافات والذكاء الثقافي.
Machine Learning Projects for Iterated Distillation and Amplification

Iterated Distillation and Amplification (IDA) is a framework for training ML models. IDA is related to existing frameworks like imitation learning and reinforcement learning, but it aims to solve tasks for which humans cannot construct a suitable reward function or solve directly. This document reviews IDA and proposes three projects that explore aspects of IDA. Project 1 applies IDA to problems in highschool mathematics and investigates whether learning to decompose problems can improve performance over supervised learning. Project 2 applies IDA to neural program interpretation, where neural nets are trained on the internal behavior (execution traces) of traditional computer programs. Project 3 investigates whether adaptive computation time (varying compute at inference time as a function of the input) can improve the robustness and efficiency of IDA. Our goal in outlining these projects is to generate discussion and encourage research on IDA. We are not (as of June 2019) working on these projects, but we are interested in collaboration.
Synonymy and Intra-Theoretical Pluralism Comment on Hjortland ( and a bit more )

The starting point of this paper is a version of intra-theoretical (logical) pluralism that was recently proposed by Hjortland (AJP, 91(2): 355–73. ). In a first move, I use synonymy-relations to formulate an intuitively compelling objection against Hjortlands claim that if one uses a single calculus to characterise the consequence relations of the paraconsistent logic LP and the paracomplete logic K3 one immediately obtains multiple consequence relations for a single language and hence a reply to the Quinean charge of meaning variance. In a second move, I explain how a natural generalisation of the notion of synonymy (adapted to the 3-sided sequent-calculus used by Hjortland) can be used to counter this objection, but also show how the solution can be turned into an equally devastating “one logic after all” type of objection. Finally, I propose the general diagnosis that these problems could only arise in the presence of conceptual distinctions that are too coarse to accommodate coherent pluralist theses. The latter leads to the general methodological recommendation that the conceptual resources used to think and talk about logic should be kept in line with the formal resources that are used to define and describe a logical theory.
Designing and Evaluating Deep Learning Methods for Cancer Classification on Gene Expression Data

Gene expression levels, measuring the transcription activity, are widely used to predict abnormal gene activities, in particular for distinguishing between normal and tumor cells. This problem has been addressed by a variety of machine learning methods; more recently, this problem has been approached using deep learning methods, but they typically failed in meeting the same performance as machine learning. In this paper, we show specific deep learning methods that can achieve similar performance as the best machine learning methods.
PROMOTING DEVELOPMENT PROGRAM EFFECTIVENESS: THE EXPECTED ROLE OF PUBLIC SECTOR AUDIT IN STATE FINANCE MANAGEMENT

Public sector audit has an important role in development by improving transparency and accountability of state finance management. It is observed, however, that many development programs do not meet their objectives. It indicates that the current public sector audit has not been adequate to promote development program effectiveness. The objective of this research is to confirm whether the current public sector audit approach is not adequate to promote development program effectiveness and what additional roles are expected to be fulfilled by public sector audit. This study is based on the Indonesian context and uses a qualitative methodology where 27 semi-structured interviews were conducted to Member of Parliament and officials of the Supreme Audit Institution (SAI) and government entities in Indonesia. The study shows that the existing public sector audit has not been adequate to promote development program effectiveness because it pays more attention to financial and compliance aspects of the development program. Moreover, it also focuses on a completed development program. Stakeholders expect that public sector audit also needs to provide the solution, provide preventive measures, create a good environment and produce useful information for decision making.
A Novel Approach for Detecting Relationships in Social Networks Using Cellular Automata Based Graph Coloring

All the social networks can be modeled as a graph, where each roles as vertex and each relationroles as an edge. The graph can be show as G = [V;E], where V is the set of vertices and E is theset of edges. All social networks can be segmented to K groups, where there are members in eachgroup with same features. In each group each person knows other individuals and is in touch withthem. In this study, the main goal is introducing a new approach for detecting these groups andminimizing the number of these groups using a cellular automat algorithm. There are two types ofsocial networks, containing simulated social network and real social network. The results show thatthe introduced method has a great potential to signi cantly reduce the number of colors assignedand running time of the program.
UoN RobotX 2018 Technical Paper

The past few years have seen the rise of autonomous systems from research and industry to the public space, with implementation of self-driving cars, such as the UBER self-driving trials in Pittsburgh and the publicly available Tesla Model S. The recent accidents involving autonomous vehicles further enforce the added pressure and need to develop safe autonomous systems, and competitions such as the Maritime RobotX play a large role in the maturation of these technologies and the development of safe autonomous solutions for the public. The Maritime Robot X Challenge is an international competition which sees world leading universities competing through the development of an autonomous surface vehicle using a standardised platform, the Wave Adaptive Modular Vehicle or WAM-V. The platform is the only standard component, the teams are required to develop various systems to complete the autonomous tasks set out for the competition, where the teams are judged on accuracy and speed. This year the objective for the UoN RobotX team was to develop a strong platform for future improvement, this was through the learnings of the previous competitions, as well as, the new ideas that were conceptualised at the beginning of the year. The Torqeedo propulsion units were re-used, while the steering system returned to a linear actuator design. The computer system maintained independent computers for the machine vision processing and the central computer remained acting as the guidance, navigation and control computer. The central computer is also used for datalogging of the IMU, GPS and LiDAR, and perform the SLAM algorithm. This computer was also responsible for the MPC trajectory planner along with control of the actuators. The UoN RobotX ASV is a versatile platform for continued autonomous research projects and the modular design of the WAM-V payload tray allows for different payloads and sensors to be implemented in the future.
Decision tree ensemble constructing algorithms and their comparative analysis

Ансамблі дерев рішень вважають одними з найбільш ефективних засобів класифікації. У літературі запропоновано значну кількість алгоритмів для їх побудови, проте на практиці актуальним лишається питання вибору алгоритму, який забезпечує найвищу точність класифікації. У зв’язку з цим у роботі було поставлено задачу порівняти точність класифікації ансамблями дерев рішень, побудованими найбільш популярними та потужними алгоритмами. Для виконання цієї задачі було створено програмне забезпечення, в якому реалізовано наступні алгоритми: випадковий ліс, стекінг з використанням генетичного алгоритму, алгоритми побудови ансамблів надзвичайно випадкових дерев та досконалих випадкових дерев, а також використано open-source реалізації випадкового лісу з пакету Accord та градієнтного бустінгу з пакету XGBoost. Програмне забезпечення розроблене на мові C# у середовищі Microsoft Visual Studio у вигляді настільного додатку. За його допомогою проведено обчислювальні експерименти на 10 реальних наборах даних різних обсягів та розмірностей, взятих з UCI Machine Learning Repository. Суть експерименту на кожному наборі даних полягала в наступному. Набір даних випадковим чином було розбито на 2 частини: початкову та тестову. Навчальну використано для побудови ансамблю з 50 дерев, а тестову – для оцінювання точності класифікації. Випадкове розбиття набору й оцінку точності класифікації було виконано 30 разів, після чого обчислено середнє значення точності класифікації та його середньоквадратичне відхилення. Тоді було проведено порівняння середніх за допомогою двохвибіркового t тесту на рівні значущості 0,05. За результатами обчислювальних експериментів найкращий результат показав алгоритм побудови ансамблю надзвичайно випадкових дерев: побудований ансамбль мав найвищу точність класифікації на 7 наборах даних і на більшості наборів переміг або не програв іншим ансамблям. Трохи гірші результати показали випадковий ліс та градієнтний бустинг з пакету XGBoost, які виявилися кращими на 5 та 4 наборах відповідно та не часто поступалися за точністю класифікації іншим алгоритмам. Стекінг з використанням генетичних алгоритмів, ансамбль досконалих випадкових дерев та випадковий ліс із пакету Accord показали найнижчу точність класифікацію на більшості наборів.
Order–disorder phase transition in black hole star clusters – III. A mono-energetic cluster

Supermassive black holes at the centres of galaxies are often surrounded by dense star clusters. For a wide range of cluster properties and orbital radii the resonant relaxation times in these clusters are much shorter than the Hubble time. Since resonant relaxation conserves semimajor axes, these clusters should be in the maximum-entropy state consistent with the given semimajor axis distribution. We determine these maximum-entropy equilibria in a simplified model in which all of the stars have the same semimajor axes. We find that the cluster exhibits a phase transition from a disordered, spherical, high-temperature equilibrium to an ordered low-temperature equilibrium in which the stellar orbits have a preferred orientation or line of apsides. Here `temperature' is a measure of the non-Keplerian or self-gravitational energy of the cluster; in the spherical state, temperature is a function of the rms eccentricity of the stars. We explore a simple two-parameter model of black-hole star clusters -- the two parameters are semimajor axis and black-hole mass --- and find that clusters are susceptible to the lopsided phase transition over a range of ~100 in semimajor axis, mostly for black-hole masses less than $10^{7.5}$ solar masses.