Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF SIX INSECTICIDES ON OIL PALM POLLINATING WEEVIL, Elaeidobius kamerunicus (COLEOPTERA: CURCULIONIDAE)

The oil palm pollinator, Elaeidobius kamerunicus is a weevil that belongs to Curculionidae It has been found to have the highest capacity for efficient insect pollinator of oil palm. In order to control the damage from reaching or nearing the economic threshold level (ETL), planters are left with the option to use insecticides due to its fast action. Therefore, in this study the efficacy of chlorantraniliprole, cypermethrin, flubendiamide, Bacillus thuringiensis , cnidiadin and Isaria fumosorosea were tested on oil palm pollinator, E. kamerunicus . The pollens and pollinators were collected from FELDA Besout, Perak, Malaysia. Adult of E. kamerunicus were exposed to the insecticides residue and mortality was observed at 24, 48, 72 and 96 hours after exposure. The percentage of mortality E. kamerunicus was recorded to determine the insecticides efficacy. Mortality of E. kamerunicus was highest when exposed to cypermethrin and chlorantraniliprole with 100% mortality of the population, followed by flubendiamide (42%), B. thuringiensis (39%), cnidiadin (11%), I. fumosorosea (3%) and control (2%) at 96 hours post-exposure. Cypermethrin gave the shortest LT 50 to killed E. kamerunicus at 17 hours, followed by chlorantraniliprole, flubendiamide and B. thuringiensis which were 31, 136 and 137 hours, respectively. Whilst, lethality index of cypermethrin showed the highest value, which was 91.50%, followed by chlorantraniliprole (76.50%), flubendiamide (27.25%), B. thuringiensis (25.25%), cnidiadin (5.25%) and I. fumosorosea (1.75%). populasinya, diikuti oleh flubendiamide (42%), B. thuringiensis (39%), cnidiadin (11%), I. fumosorosea (3%) dan kawalan (2%) pada tempoh 96 jam selepas rawatan. Cypermethrin didapati mempunyai masa maut, LT 50 yang paling singkat bagi membunuh E. kamerunicus iaitu selama 17 jam, diikuti oleh chlorantraniliprole, flubendiamide dan B. thuringiensis di mana masing-masing mengambil masa 31, 136 dan 137 jam. Cypermethrin mempunyai nilai indeks maut yang tertinggi iaitu 91.50%, diikuti oleh chlorantraniliprole (76.50%), flubendiamide (27.25%), B. thuringiensis (25.25%), cnidiadin (5.25%) dan I. fumosorosea (1.75%).
DevelopmentIntrinsically Regulates Invariant NKT Cell ATP-Binding Cassette Transporter G1

ATP-binding cassette transporter G1 (ABCG1) plays a role in the intracellular transport of cholesterol. Invariant NKT ( i NKT) cells are a subpopulation of T lymphocytes that recognize glycolipid Ags. In this study, we demonstrate that ABCG1 regulates i NKT cell development and functions in a cell-intrinsic manner. Abcg1 2 / 2 mice displayed reduced frequencies of i NKT cells in thymus and periphery. Thymic i NKT cells deﬁcient in ABCG1 had reduced membrane lipid raft content, and showed impaired proliferation and defective maturation during the early stages of development. Moreover, we found that Abcg1 2 / 2 mice possess a higher frequency of V b 7 + i NKT cells, suggesting alterations in i NKT cell thymic selection. Furthermore, in response to CD3 « /CD28 stimulation, Abcg1 2 / 2 thymic i NKT cells showed reduced production of IL-4 but increased production of IFN- g . Our results demonstrate that changes in intracellular cholesterol homeostasis by ABCG1 profoundly impact i NKT cell development and function. The Journal of Immunology , 2012, 189: 000–000.
Modelling Self-Organising Networks With Slime Mould Physarum Polycephalum

The slime mould Physarum Polycephalum has been shown to exhibit graph-solving [5, 20, 19], computational [2, 9] and complex decision-making [1, 5, 6, 10, 15, 19] behaviours, whilst consisting only of a simple single-cellular organism. Through analysis of cellular automata simulations of Physarum , we can investigate the emergent behaviours required to generate self-organising swarm networks. Many current models of Physarum behaviour do not lend themselves to distributed and self-organising network analyses [7, 19, 20]. Here, the ‘Vacant-Particle’ model for Physarum migration [5] is used as the basis for a true cellular automaton, implementing critical network-forming behaviours such as chemotaxis [19] in a decentralised model. Network formation is analysed across scales in both randomly-initialised and regularised forms, and a basic implementation of distributed self-optimising behaviour is proposed. A comparison is made between the simulation and the behaviour of a living Physarum colony. Potential applications to self-organising networks are discussed.
Evolutionary Genomics Statistical and Computational Methods Second

Biological, clinical, and pharmacological research now often involves analyses of genomes, transcriptomes, proteomes, and interactomes, within and between individuals and across species. Due to large volumes, the analysis and integration of data generated by such high-throughput technologies have become computationally intensive, and analysis can no longer happen on a typical desktop computer. In this chapter we show how to describe and execute the same analysis using a number of workﬂow systems and how these follow different approaches to tackle execution and reproducibility issues. We show how any researcher can create a reusable and reproducible bioinformatics pipeline that can be deployed and run anywhere. We show how to create a scalable, reusable, and shareable workﬂow using four different workﬂow engines: the Common Workﬂow Language (CWL), Guix Workﬂow Language (GWL), Snake-make, and Nextﬂow. Each of which can be run in parallel. We show how to bundle a number of tools used in evolutionary biology by using Debian, GNU Guix, and Bioconda software distributions, along with the use of container systems, such as Docker, GNU Guix, and Singularity. Together these distributions represent the overall majority of software packages relevant for biology, including PAML, Muscle, MAFFT, MrBayes, and BLAST. By bundling software in lightweight containers, they can be deployed on a desktop, in the cloud, and, increasingly, on compute clusters. By bundling software through these public software distributions, and by creating reproducible and shareable pipelines using these workﬂow engines, not only do bioinformaticians have to spend less time reinventing the wheel but also do we get closer to the ideal of making science reproducible. The examples in this chapter allow a quick comparison of different solutions.
An Empirical Investigation of Intergenerational Mobility in Korea

This paper studies intergenerational income mobility in Korea using a novel approach to understanding how parental socioeconomic status predicts that of children. The conventional approach to measuring mobility is based on the correlation between parents’ permanent income and children’s permanent income. In contrast, we study how the trajectory of parental incomes across childhood, adolescence, and early adulthood collectively determine a child’s future income. This allows one to explore how the timing of income matters beyond its long-run average as well as to understand the years where parental income is relevant. To this end, we employ a functional approach to uncover this relationship. Using KLIPS data, we find that parental income after the mid-teens is crucial for children’s economic success. In contrast, parental incomes at other ages are especially powerful predictors of factors that help determine income. Specifically, teen years are essential for college attendance, while the early 20s play a crucial role in offspring’s occupation. In addition, living in a single-parent family during the mid-teens tends to harm children’s economic and educational success.
Estimation of Discount Factor in a Model-Based Inverse Reinforcement Learning Framework

We consider the crucial task of estimating an expert’s discount factor in Inverse Reinforcement Learning (IRL) to facilitate a better synthesis towards the resulting optimal policy. Existing IRL algorithms have signiﬁcantly overlooked the vital need to estimate the discount factor, experimental studies and theoretical intuitions show variability of the learnt reward function as the discount factor changes. In this work, we adapt the model-based maximum entropy IRL framework and optimize a utility-based softmax likelihood function via a feature-based gradient update to jointly learn the discount factor and reward. To test our approach, we utilize behavioral data from three Markov decision process (MDP) environments, namely, Grid-World, Mountain-Car Driving and Object-World. Experimental and numerical studies show that our approach is viable for the simultaneous estimation of the discount factor and reward function in IRL.
Fueling the Future: How the Battle over Energy Is Changing Everything

From trips to the market to lighting entire cities, power is pivotal to the simplest of everyday necessities. Wars are fought over it, the planet is polluted by it, but now its price has become too high. Are we capable of shifting to cleaner, safer, more reliable sources of energy? Fueling the Future gathers the best and brightest minds in the field  thinkers like Jeremy Rifkin, L. Hunter Lovins, and Allison MacFarlane  and uses their collective wisdom to tackle this pressing question from several angles. The experts predict what a world without oil, which is estimated to run out in 50 years, would be like. What new energy alternatives are available? The use of hydrogen and fuel cells is examined, with surprising conclusions. Fresh, efficient prose makes the experts' controversial answers readable and engaging, as well as thought provoking. -- publisher's description
Overexpressing Telomerase T Lymphocytes + Potential of Human CD8 Mechanisms Regulating the Proliferative

In human somatic cells, including T lymphocytes, telomeres progressively shorten with each cell division, eventually leading to a state of cellular senescence. Ectopic expression of telomerase results in the extension of their replicative life spans without inducing changes associated with transformation. However, it is yet unknown whether somatic cells that overexpress telomerase are physiologically indistinguishable from normal cells. Using CD8 (cid:1) T lymphocyte clones overexpressing telomerase, we investigated the molecular mechanisms that regulate T cell proliferation. In this study, we show that early passage T cell clones transduced or not with human telomerase reverse transcriptase displayed identical growth rates upon mitogenic stimulation and no marked global changes in gene expression. Surprisingly, reduced proliferative responses were observed in human telomerase reverse transcriptase-transduced cells with extended life spans. These cells, despite maintaining high expression levels of genes involved in the cell cycle progression, also showed increased expression in several genes found in common with normal aging T lymphocytes. Strikingly, late passage T cells overexpressing telomerase accumulated the cyclin-dependent inhibitors p16 Ink4a and p21 Cip1 that have largely been associated with in vitro growth arrest. We conclude that alternative growth arrest mechanisms such as those mediated by p16 Ink4a and p21 Cip1 still remained intact and regulated the growth potential of cells independently of their telomere status. The Journal of Immunology, 2006, 177: 3657–3668.
The Pennsylvania State University "MTM Engineering Camp for Girls:" Generating Under-Represented Pathway Prospects Through A Diversity-Rich Pre-College Outreach Project

MTM Engineering Camp for Girls started in 2001 as a residential pre-college outreach project targeting 11 and 12 grade high school girls. Three goals were initially the focal point of MTM: to provide high school girls with engineering career information, to recruit girls to engineering, and to enhance career development of undergraduate women engineers. Hands-on activities in interdisciplinary engineering fields, complemented by interaction with women engineer role models, were vehicles to these objectives. After scrutinizing project assessment data, the project director determined that the camp served only twenty-five girls annually, 96% of whom were Caucasian. Significant modifications were made to the project in 2003 in a deliberate effort to enhance Latina and African American participant population, to maximize overall pre-college participation, and to optimize department resources. As a result, a sleeker, more-effective outreach project emerged, successfully teaming 69 precollege girls with 12 undergraduate women engineers in 2004. MTM ‘03 and ‘04 participant diversity was increased to 41% and 42% respectively. Thus, a fourth camp goal, exposing talented Latina and African American girls to the engineering profession, was implemented. Success was achieved through alliances with targeted urban school districts, and funding was secured to sponsor these students in entirety. Modifying the camp structure to a day module experience proved valuable and captured almost three times more participants than the residential camp. Sponsored multicultural guests enjoyed two evening programs specifically tailored to higher education STEM opportunities and admission procedures. Women engineers of color served as vital role models and were an integral component to the success.
Zero Vulnerability Computing (ZVC) for Open Source Connected Devices

: Cybercrime costs the global economy €5.6 Trillion annually. This is essentially because fool-proof cybersecurity of personal data in a connected computer is impossible. We are challenging that maxim and disrupting the status quo in cybersecurity with Zero Vulnerability Computing (ZVC). Two mandatory design attributes make computers usable, but also render them vulnerable. These necessary evils are:
Online Research Commons @ ATU Online Research Commons @ ATU

There is a vast amount of data collected on e-learning platforms that can provide insight and guidance to both learners and educators. However, this data is rarely used for evaluation and understanding the learning process. Hence, to fill this gap in the literature this study explored the effect of online course design on students’ transfer and retention of knowledge through learning analytics. The aim was to reveal study behaviors of participants over a short time while exploring their academic performance. Using a mixed method approach, this research is conducted in two different countries in a limited time. The results showed that the more times students visited the learning module and the longer these visits, the higher the students’ transfer knowledge scores in this module. Most importantly, the only variable found to be a significant predictor of students’ transfer learning outcome was the number of sessions in the module website
Small Airway Disease / Bronchiolitis: Case Presentation and Review of Literature

Small airways constitute the quiet zone between the conducting and the respiratory lung zones [1]. Still, Small Airway Disease (SAD) can be a presenting manifestation in multiple diseases includes connective tissue disorders such as rheumatoid arthritis, exposure to tobacco smoke, air borne pollutants, mineral dusts, and viral respiratory infections. It may develop following bone marrow transplantation and in recipients of heart-lung or lung transplantation [2].
Workload stress and performance of nurses in government hospitals in Kenya

This paper looks at workload stress to establish how it influences nurses‘ levels of performance, morale and clinical outcomes in government hospitals in Nairobi Kenya. The study design utilized for this research is descriptive survey and correlation design. The key objective of the study is to investigate the relationship between work load stress and performance among public hospital workers in Kenya. A sample of 845 nurses was drawn from all the six levels of government hospitals in Nairobi County using Taro Yamanes sample size selection formula. Data collected was analysed using both descriptive and inferential statistical techniques. Correlation analysis was employed to explore the direction and magnitude of relationship between various constructs of work load stress and employee performance. The research findings show that work load stress influences performance of nurses. Majority of respondents (79.8%) indicated that work load stress factors influence their performance ―to a great extent‖ (11.2%) indicated ―to a small extent‖. These responses were confirmed through inferential statistical analyses as discussed in the paper. Based on the findings the study recommends that adequate and modern equipment should be provided to nurses to aid them in their work and more nurses should be employed to help reduce workload stress. This is expected to lead to the boasting of the morale of nurses in government hospitals perhaps leading to fewer strikes.
When Does Channel-Output Feedback Enlarge the Capacity Region of the Interference Channel?

In this research report, the benefits of channel-output feedback in the Gaussian interference channel (G-IC) are studied under the effect of additive Gaussian noise. Using a linear deterministic (LD) model, the signal to noise ratios (SNRs) in the feedback links beyond which feedback plays a significant role in terms of increasing the individual rates or the sum-rate are approximated. The relevance of this work lies on the fact that it identifies the feedback SNRs for which in any G-IC one of the following statements is true: (a) Feedback does not enlarge the capacity region; (b) Feedback enlarges the capacity region and the sum-rate is higher than the largest sum-rate without feedback; and (c) Feedback enlarges the capacity region but no significant improvement is observed in the sum-rate.
A REVIEW PAPER ON FAKE NEWS DETECTION

------------------------------------------------------ ***-------------------------------------------------- Abstract: - With the popularity of mobile technology and social media growing, information is readily available. Mobile App and social media platforms have overturned traditional media in the distribution of news. Alongside the increment in the utilization of online media stages like Facebook, Twitter, and so forth news spread quickly among a large number of clients with an extremely limited ability to focus time. Machine learning and Knowledge-based approach and approach are the two techniques utilized for investigating the truthiness of the content. Public and private assessments on a wide assortment of subjects are communicated and spread persistently through various online media. Most methodologies are utilized, for example, regulated AI. The spread of phony news has extensive results like the making of one-sided feelings to influencing political race results to support certain applicants. Additionally, spammers utilize engaging news features to produce income utilizing notices through click baits. In this paper, we intend to perform a parallel grouping of different news stories accessible online with the help of thoughts identifying with Artificial Intelligence, Natural Language Processing, and Machine Learning. The result of the project determines the fake news detection for social networks using machine learning and also checks the authenticity of the publishing news website.
Vehicular Visible Light Communication: An Integrated I2V2V2I Connected Car Concept

— This paper investigates the connected vehicle concept at intersections with traffic signals control and proposes the use of Visible Light Communication (VLC) in Vehicular Communication Systems for vehicle safety applications. A smart vehicle lighting system that combines the functions of illumination, signaling, communications, and positioning is presented. A generic model of cooperative transmissions for vehicular communications services is established. Three specific vehicular communications systems are analyzed. One is for Infrastructure-to-Vehicle communications from the street lamps, located on roadside, to the vehicles; the other is for in line Vehicle-to-Vehicle communications and the last for Vehicle-to-Infrastructure communications from cars to the traffic lights, at the crossroad. An on-off code is used to transmit data. The encoded message contains the ID code of each emitter concomitantly with a traffic message that is received, decoded and resent to another vehicle or to traffic light, in the crossroad. An algorithm to decode the information is established. A phasing traffic flow is presented as a proof of concept.
The Significance of self-attention over LSTM in image captioning

Image captioning is a cherishing topic in two critical fields such as computer vision and natural language processing. It generates the description for the image. Image captioning system follows encoder-decoder architecture. Our paper proposed a deep learning model for image captioning with self-attention. Self-attention is a process of identifying the dependencies of words to capture the internal structure of the sentence and producing the next word in the sentence. Self-attention is implemented in different ways such as it is incorporated before and after LSTM. The model produces the best results when self-attention is implemented after LSTM. Self-attention enhances the accuracy of the image captioning system.
Transfer of the Organizational Culture of Multinationals in Algeria Case : Schlumberger NAG

The aim of this article is to understand the problem of transferring the corporate culture of the parent company to its subsidiaries, particularly in Algeria. First, we tried to determine the mechanisms and the different practices used by the multinational Schlumberger to transfer its organizational culture to all of its subsidiaries, in order to ensure strategic and behavioral congruence, thus guaranteeing a universal and standard. We also tried to detect the different factors that could influence the transfer process of the corporate culture. Finally, to come up with some suggestions and recommendations that aim to strengthen the practices of the human resources function.
The Development and Structure of The Tooth Enamel and The Nature of Deterioration

The tooth enamel is developed through a careful process to give its characteristic hardness, but bacteria colonization in the form of plaque and certain dietary habits can compromise this. The development of the tooth involves an intricate process that incorporates proteins and minerals to produce the toughest tissue in the human body. The enamel possesses a distinct crystal lattice with many minerals involved. Under acidic conditions, the integrity of the crystals that make up the tooth enamel can become compromised. Harmful bacteria, such as Streptococcus mutans of the mouth combine with carbohydrates that are consumed to produce acids that are harmful to the basic crystals making up the tooth enamel. The acidity causes dissolution of the enamel crystals, producing small concavities on the surface of the teeth that can be particularly difficult to clean and thus leads to further deterioration. This demonstrates the importance of maintaining proper dental hygiene to prevent deterioration.