Miracle-dz/UniFAR-FTUs huggingface dataset:
Domain-specific lexicon generation for emotion detection from text

Emotions play a key role in effective and successful human communication. Text is popularly used on the internet and social media websites to express and share emotions, feelings and sentiments. However useful applications and services built to understand emotions from text are limited in effectiveness due to reliance on general purpose emotion lexicons that have static vocabulary and sentiment lexicons that can only interpret emotions coarsely. Thus emotion detection from text calls for methods and knowledge resources that can deal with challenges such as dynamic and informal vocabulary, domain-level variations in emotional expressions and other linguistic nuances. In this thesis we demonstrate how labelled (e.g. blogs, news headlines) and weakly-labelled (e.g. tweets) emotional documents can be harnessed to learn word-emotion lexicons that can account for dynamic and domain-specific emotional vocabulary. We model the characteristics of realworld emotional documents to propose a generative mixture model, which iteratively estimates the language models that best describe the emotional documents using expectation maximization (EM). The proposed mixture model has the ability to model both emotionally charged words and emotion-neutral words. We then generate a word-emotion lexicon using the mixture model to quantify word-emotion associations in the form of a probability vectors. Secondly we introduce novel feature extraction methods to utilize the emotion rich knowledge being captured by our word-emotion lexicon. The extracted features are used to classify text into emotion classes using machine learning. Further we also propose hybrid text representations for emotion classification that use the knowledge of lexicon based features in conjunction with other representations such as n-grams, part-of-speech and sentiment information. Thirdly we propose two different methods which jointly use an emotion-labelled corpus of tweets and emotion-sentiment mapping proposed in psychology to learn word-level numerical quantification of sentiment strengths over a positive to negative spectrum. Finally we evaluate all the proposed methods in this thesis through a variety of emotion detection and sentiment analysis tasks on benchmark data sets covering domains from blogs to news articles to tweets and incident reports.
RESPONSE OF CUMIN PLANT TO SOME ORGANIC, BIOFERTILIZATION AND ANTIOXIDANT TREATMENTS II. ESSENTIAL OIL PRODUCTION AND CHEMICAL CONSTITUENTS

The effect of farmyard manure (FYM) at 10, 15 and 20 m3/fed. Effective microorganisms (E.M.) and/or vitamin E or vit. B1 treatments on oil production (essential oil % and essential oil yield/plant and /fed) and chemical components (photosynthetic pigments content and NPK %) were investigated during 2015/2016 and 2016/2017 at Samalot region (El-Byaho village) - Minia Governorate and Laboratory of ornamental plants, Fac. of Agric. , Minia Univ. All treatments of FYM statistically increased oil production as well as chemical components as compared with control. The high level of FYM was more effective in this concern. The treatments of E.M. + vit. B1 followed by E.M. + vit. E, then mineral NPK (full dose) gave the best results in increasing all previous traits. Supplying cumin plants with FYM at 20 m3/fed. in combination with E.M. + vitamins (B1 or E) or FYM at 15 m3/fed. plus E.M. + vit. B1 resulted overall the highest values of the previous traits.
Relationship between chlorosis, photosynthesis and the nutrient content of plane trees in the presence of chemical and organic fertilizers

Chlorosis disorder is a major problem affecting the growth and physiological processes of many trees including plane trees (Platanus orientalis L.). This experiment was conducted to study the relationship between leaf chlorosis disorder and the nutritional status and some important physiological characteristics of plane trees. The experiment was arranged in a randomized complete block design with six replications and four treatments including control, manure (M), manure + fertilizer (20-5-10) (MF), and manure + fertilizer + mycorrhizal fungi (MFA) ( Glomus intraradices + G. mosseae) . The results showed that although all treatments significantly improved the nutrients content, soluble carbohydrates content, photosynthesis rate and chlorophyll content in the leaves, they mostly reached their peak in the mycorrhizal inoculated plants. Nitrogen (N), phosphorus (P) and zinc (Zn) were increased in the AMF amended trees compared to the control plants. The photosynthesis rate was enhanced by all the mixtures at least by 60% compared to the control. The most Chlorosis (17.5%) to the leaves recorded on the control plants, while leaf damage dropped to less than 2.9% at mycorrhizal treatment leading to the improved nutritional balance in the plane trees. The results proved the effectiveness of including mycorrhizal inoculation to the common fertilization practices to prevent leaf chlorosis in the plane trees.
Feline immunodeficiency virus in puma: Estimation of force of infection reveals insights into transmission

Abstract Determining parameters that govern pathogen transmission (such as the force of infection, FOI), and pathogen impacts on morbidity and mortality, is exceptionally challenging for wildlife. Vital parameters can vary, for example across host populations, between sexes and within an individual's lifetime. Feline immunodeficiency virus (FIV) is a lentivirus affecting domestic and wild cat species, forming species‐specific viral–host associations. FIV infection is common in populations of puma (Puma concolor), yet uncertainty remains over transmission parameters and the significance of FIV infection for puma mortality. In this study, the age‐specific FOI of FIV in pumas was estimated from prevalence data, and the evidence for disease‐associated mortality was assessed. We fitted candidate models to FIV prevalence data and adopted a maximum likelihood method to estimate parameter values in each model. The models with the best fit were determined to infer the most likely FOI curves. We applied this strategy for female and male pumas from California, Colorado, and Florida. When splitting the data by sex and area, our FOI modeling revealed no evidence of disease‐associated mortality in any population. Both sex and location were found to influence the FOI, which was generally higher for male pumas than for females. For female pumas at all sites, and male pumas from California and Colorado, the FOI did not vary with puma age, implying FIV transmission can happen throughout life; this result supports the idea that transmission can occur from mothers to cubs and also throughout adult life. For Florida males, the FOI was a decreasing function of puma age, indicating an increased risk of infection in the early years, and a decreased risk at older ages. This research provides critical insight into pathogen transmission and impact in a secretive and solitary carnivore. Our findings shed light on the debate on whether FIV causes mortality in wild felids like puma, and our approach may be adopted for other diseases and species. The methodology we present can be used for identifying likely transmission routes of a pathogen and also estimating any disease‐associated mortality, both of which can be difficult to establish for wildlife diseases in particular.
Developing learning trajectory for teaching statistics at junior high school using RME approach

We developed a learning trajectory (LT) for teaching statistics at Year 8 junior high school using Realistic Mathematics Education (RME) approach. The research aimed at investigating the validity and practicality of the LT as well as its influence on students’ statistical reasoning abilities. This was a design research that consisted of a cyclic process of preparing and conducting the experiment, and retrospective analysis. The subjects of the research were 30 Year 8 students in a junior high school in Indonesia. To collect the data, we used observations, interviews, checklist, videotaping, and analyzing the students’ works. In preparing for the experiment, it was designed the LT for teaching statistics that met the criteria of validity (relevance and consistency). During one-to-one, small group, and field test evaluations we discovered that the LT could work as intended (met the criteria of practicality). We also found that the LT for teaching statistic using RME approach could help the students to reinvent the concepts about central tendency by themselves. Finally, we found the growths in the students’ statistical reasoning abilities.
Scaling and Resilience in Numerical Algorithms for Exascale Computing

The first Petascale supercomputer, the IBM Roadrunner, went online in 2008. Ten years later, the community is now looking ahead to a new generation of Exascale machines. During the decade that has passed, several hundred Petascale capable machines have been installed worldwide, yet despite the abundance of machines, applications that scale to their full size remain rare. Large clusters now routinely have 50.000+ cores, some have several million. This extreme level of parallelism, that has allowed a theoretical compute capacity in excess of a million billion operations per second, turns out to be difficult to use in many applications of practical interest. Processors often end up spending more time waiting for synchronization, communication, and other coordinating operations to complete, rather than actually computing. Component reliability is another challenge facing HPC developers. If even a single processor fails, among many thousands, the user is forced to restart traditional applications, wasting valuable compute time. These issues collectively manifest themselves as low parallel efficiency, resulting in waste of energy and computational resources. Future performance improvements are expected to continue to come in large part due to increased parallelism. One may therefore speculate that the difficulties currently faced, when scaling applications to Petascale machines, will progressively worsen, making it difficult for scientists to harness the full potential of Exascale computing. The thesis comprises two parts. Each part consists of several chapters discussing modifications of numerical algorithms to make them better suited for future Exascale machines. In the first part, the use of Parareal for Parallel-in-Time integration techniques for scalable numerical solution of partial differential equations is considered. We propose a new adaptive scheduler that optimize the parallel efficiency by minimizing the time-subdomain length without making communication of time-subdomains too costly. In conjunction with an appropriate preconditioner, we demonstrate that it is possible to obtain time-parallel speedup on the nonlinear shallow water equation, beyond what is possible using conventional spatial domain-decomposition techniques alone. The part is concluded with the proposal of a new method for constructing Parallel-in-Time integration schemes better suited for convection dominated problems. In the second part, new ways of mitigating the impact of hardware failures are developed and presented. The topic is introduced with the creation of a new fault-tolerant
Locomotor adaptations of 7.4 Ma Hipparionine fossils from the middle reaches of the Yellow River and their palaeoecological significance

ABSTRACT New fossil remains of limb bones referred to Hipparion (Hippotherium) chiai from 7.4 Ma in the middle reaches of the Yellow River, Fugu, Shaanxi, China are herein described and analysed. Although some of the primitive features remain on the phalanges, e.g.: less well-developed V-scars on the phalanges III; the suspending extent of the side toes is limited. But the functional morphology of these limb bones also suggests that: 1) the metapodials are gracile; 2) the distal keel of the metapodial is strong; 3) the absolute digital length of side toes are reduced dramatically; (4) it has basal ‘spring foot’. These characters are characteristic of equines with superior locomotor abilities (faster and more agile), indicating that H. chiai was well adapted to an open environment. Together with the evidence of palaeozoogeography and isotopic palaeodietary proxies, we suggest a temperate C3 steppe environment for the middle reaches of the Yellow River at 7.4 Ma, instead of arid or semiarid C4 savannas as previously believed. We also propose a novel hypothesis of evolutionary process of ‘spring foot’ on Eurasian hipparionine horses.
Evaluation of Frother Types for Improved Flotation Recovery and Selectivity

A laboratory study was conducted to evaluate and compare the effectiveness of nine different frother types when used in a three-phase, continuously operating froth flotation system. The frothers included several that are commonly used in the industry (e.g., MIBC, 2EH, and F-1) as well as unique frother types (e.g., F-3). The tests were conducted in a 5-cm diameter laboratory flotation column that provided near plug-flow mixing conditions due to a length-to-diameter ratio of around 50:1. Test results indicate that F-1, MIBC, and MPC (in order of decreasing effectiveness) provided the weakest performance in terms of combustible recovery while F-2, MAC, and 2EH were the top three generating the highest separation efficiencies. When processing ultrafine coal, the ash content of the flotation concentrate ranged from 10% to 15% while recovering over 80% of the combustible material. F-3, F-4, and DIBC provided over 80% recovery of combustibles at the expense in the amount of hydraulic entrainment. The flotation performances were also closely examined in accordance with the fundamental properties of the nine tested frothers, and their correlations were addressed in detail.
Cannabis, connectivity, and coming of age: Associations between cannabis use and anterior cingulate cortex connectivity during the transition to adulthood

Background Cannabis use is common among adolescents and emerging adults and is associated with significant adverse consequences for a subset of users. Rates of use peak between the ages of 18-25, yet the neurobiological consequences for neural systems that are actively developing during this time remain poorly understood. In particular, cannabis exposure may interfere with adaptive development of white matter pathways underlying connectivity of the anterior cingulate cortex, including the cingulum and anterior thalamic radiations (ATR). Methods The current study examined the association between cannabis use during adolescence and emerging adulthood and white matter microstructure of the cingulum and ATR among 158 male subjects enrolled in the Pitt Mother & Child Project, a prospective, longitudinal study of risk and resilience among men of low socioeconomic status. Participants were recruited in infancy, completed follow-up assessments throughout childhood and adolescence, and underwent diffusion imaging at age 20 and 22. Results At age 20, moderate cannabis use across adolescence (age 12-19) was associated with higher fractional anisotropy of the cingulum and ATR, relative to both minimal and heavy adolescent use. Longitudinally, moderate and heavy extended cannabis use (age 12-21) was associated with reduced positive change in FA in both pathways from age 20 to 22, relative to minimal use. Conclusions These results suggest that precocious white matter development may be linked to increased risk for use, whereas cannabis exposure may delay white matter maturation during the transition to adulthood and potentially impact individuals’ functioning later in development.
Immunogenicity and Cross-Reactivity of Human and Rhesus Adenoviral Vectors

Preexisting adenovirus immunity in humans limits the use of adenoviruses vectors for gene therapy and vaccines. Therefore, in this thesis, a newer class of adenovirus (Ad) vectors belonging to the poorly understood species G of adenoviruses, rhesus adenoviruses (RhAds), are investigated for their viability as vaccine vectors and for their ability to evade preexisting human adenovirus (HuAd) immunity. Moreover, we investigate the extent of cross-reactive adenovirus immunity. RhAd vectors exhibited potent humoral and cellular immunogenicity as both priming and boosting vectors and induced favorable immunological phenotypes with high anamnestic capacity. Moreover, RhAds vectors were not hindered by preexisting human adenovirus immunity in the mouse model. In humans, we detected extensive CD4+, but limited CD8+ T cell crossreactivity between RhAd and HuAd vectors, and cross-reactive CD8+ T cells were largely driven by single immunodominant epitopes in conserved regions. Minimal to no crossreactive neutralizing antibodies were detected. These data suggest the potential utility of RhAd vectors for vaccines or gene therapy and define cross-reactive T cell epitopes between phylogenetically distinct adenoviruses that may be useful in future vector
Morphological Events on the Development of Flowers, Fruits, and Seeds of Calamansi (XCitrofortunella microcarpa Bunge)

The development of flowers, fruits, and seeds of calamansi, from initiation to commercial maturity, is described in terms of time intervals. This study provides the morphological ontology of calamansi fruit, a prerequisite for crop breeding program. Sections of the flowers, fruits and seeds were stained with 1% safranin solution and examined under a dissecting microscope. The developmental phases can be grouped into 9, 3 and 4 in floral, fruit and seed, respectively, with distinct morphological events. The time for the flower to reach anthesis from bud formation was 17 to 23 days. The development of the fruit took 78 to 84 days from anthesis to commercial maturity. The development of the fruit from flower bud formation to commercial maturity took 94 to 101 days. During this period, the ovule development became evident on the 7th day from the flower bud formation. On the 59th day, the zygotic embryo became visible. On the 73rd day, the somatic embryo became distinct, and the endosperm tissue became gummy. On the 94th to 101th day, when the fruit reached commercial maturity, the somatic embryos occupy the whole sac and the peel became smooth and shiny. The results imply that cross-pollination can be accomplished before 17 to 23 days from the flower bud formation. An Immature fruit at 59 to 73 days from flower formation is an appropriate fruit-age to obtain the zygote, the nucellus and the endosperm tissues for breeding through plant tissue culture.
Simultaneous detection of carbofuran and 3-hydroxy-carbofuran in vegetables and fruits by broad-specific monoclonal antibody-based ELISA

ABSTRACT Carbofuran is a highly toxic insecticide and has been banned or restricted for pest control in many countries. Being a potent acetylcholinesterase inhibitor, carbofuran and its metabolite 3-hydroxycarbofuran (3-OH-CBF) are required for the analysis of their residues in food. However, an immunochemical method for simultaneous analysis of carbofuran and 3-OH-CBF is still not available. Herein, we report an enzyme-linked immunosorbent assay (ELISA) based on a broad-specific monoclonal antibody (mAb) for simultaneous detection of carbofuran and 3-OH-CBF. The mAb, designated as 2E3, against both carbofuran and 3-OH-CBF was used to develop an indirect competitive ELISA (icELISA) with 50% inhibition concentrations of 0.76 and 0.69 ng/mL, respectively. The developed icELISA was validated by UPLC-MS/MS and is suitable for the rapid and simultaneous detection of carbofuran and 3-OH-CBF in fruits and vegetables.
TBK11, a Tobacco Kinesin-14-II, Associates with the Nuclear Envelope through Its Central Coiled-Coil Domain

Summary Kinesin-14-II is a plant-speciﬁc subclass of the kinesin-14 subfamily and includes kinesins with a calponin homology domain (KCHs). A tobacco member of kinesin-14-II, TBK11 is a viable candidate respon sible for microtubule-dependent nuclear movement because of its apparent localization to the nuclear envelope. In tobacco BY-2 cells, it has been reported that the nuclear migration from the cell periphery to the central region in the pre-mitotic phase requires microtubules; however, the contribution of microtubules to the movement of daughter nuclei away from the cell plate in the post-cytokinetic phase has not been clariﬁed. In the present study, we performed truncation analysis of TBK11 and found that TBK11 associates with the nuclear envelope via its central coiled-coil domain. We also found that the movement of daughter nuclei away from the cell plate is inhibited by treatment with microtubule inhibitors. These results suggest that TBK11 potentially plays a role in pre-mitotic and post-cytokinetic nuclear movement through interaction with the nuclear envelope via its central coiled-coil domain.
Seed classification of three species of amaranth (Amaranthus spp.) using artificial neural network and canonical discriminant analysis

Abstract The current study was conducted in 2013 to identify the seeds of three species of Amaranthus, Amaranthus viridis L. , Amaranthus retroflexus L. and Amaranthus albus L. , by using the artificial neural network (ANN) and canonical discriminant analysis (CDA) methods. To begin with, photographs were taken of the seeds and 13 morphological characteristics of each seed extracted as predictor variables. Backward regression was used to find the most influential variables and seven variables were derived. Thus, predictor variables were divided into two sets of 13 and seven morphological characteristics. The results showed that the recognition accuracy of the ANN made using 13 and seven predictor variables was 81.1 and 80.3%, respectively. Meanwhile, recognition accuracy of the CDA using the seven and 13 predictor variables was 74.0 and 75.7%, respectively. Therefore, in comparison to CDA, ANN showed higher identification accuracy; however, the difference was not statistically significant. Identification accuracy for A. retroflexus was higher using the CDA method than ANN, while the ANN method had higher recognition accuracy for A. viridis than CDA. In addition, use of 13 predictor variables yielded a greater identification accuracy than seven. The results of the current study showed that using seed morphological characteristics extracted by computer vision could be effective for reliable identification of the similar seeds of Amaranthus species.