Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular characterization and genetic diversity analysis of aromatic rice ( Oryza sativa L . ) genotypes using SSR markers

Molecular characterization of genotypes gives precise information about the extent of genetic diversity. In the present study, a total of 25 polymorphic SSR markers were used across 24 aromatic rice genotypes from India and abroad for their characterization and discrimination. The allelic richness per locus ranged from 2 to 4 alleles with an average of 2.44 alleles. A total of six rare alleles were identified at six loci among 25 microsatellite loci. The polymorphism information content (PIC) values ranged from 0.278 to 0.642 with an average of 0.465. The PIC values revealed that RM527 might be the best marker for identification and diversity estimation of aromatic rice genotypes followed by RM1, RM22565 and RM207 markers. At a 40% level of similarity, the Unweighted Pair Group Method with Arithmetic Mean (UPGMA) cluster dendrogram showed three major clusters (I, II and III) with additional sub-clusters, except cluster III. The cluster III had only one genotype Bas 837 which showed 63% dissimilarity with rest of the genotypes. At below sub-cluster level, about half of the genotypes exhibited more than 70% genetic similarities between genotypes which itself explains the existence of narrow genetic base among aromatic rice genotypes. The low to high degree of similarity among studied genotypes indicated high level of genetic diversity, and also the possibility of using these genotypes in breeding programmes targeted at improvement of elite aromatic rice varieties.
Bee (Hymenoptera: Apoidea: Anthophila) Functional Traits in Relation to Sampling Methodology in a Restored Tallgrass Prairie

Abstract Analysis of functional trait composition can provide insights into effects of habitat alteration on ecological functioning of particular taxa. However, assessments of functional trait composition may be affected by the sampling methodology used. We assessed functional trait composition of bees (Hymenoptera: Apoidea: Anthophila) collected using 4 sampling methods (elevated bowl traps, ground-level bowl traps, Malaise traps, and vane traps). Functional diversity, as measured by functional dispersion (mean distance between individual species and the community centroid in multidimensional trait space), did not vary among sampling methods. Fourth corner analysis revealed statistically greater representation of solitary species and above-ground nesting species than expected in ground-level bowl traps. Polylecty was strongly associated with Malaise traps. Body length was negatively associated with Malaise traps and positively associated with vane traps. Our results suggest that sampling of bee functional traits can be method-dependent, and this should be considered in assessments of functional trait composition.
Can Big Data provide good quality statistics ? A case study on sentiment analysis on Twitter data

Nowadays, economists, political scientists, managers and sociologists are interested in Big Data, that is, the huge quantity of digital data provided by people interactions, machines and processes. They can be used to answer new questions, to build new socio-economic indicators, to provide an insight on people’s preferences, behaviours, political movements, and to generate competitive advantages in companies. Moreover, Big Data can offer new macroeconomic now-casting opportunities for policy-makers, providing complementary and faster information on the state of the economy and its development. In particular, the combination of data from multiple sources can provide a better overview of the economic phenomena (Baldacci et al., 2016). Furthermore, in Official Statistics the integration of Big Data with traditional data sources is a challenging opportunity for the construction of social and economic indicators. Actually, it is unlikely that Big Data will completely replace survey-based activities: they can provide complementary and specific information about a topic or they can help to asses unmeasured or partially measured socioeconomic phenomena, providing new and auxiliary variables in macroeconomic models. One of the Big Data advantages in social science is that “they occur naturally without any intervention or researcher-manipulation, then, in some cases, they can be more representative of the true opinion or behaviour or they can provide further information than what could be collected with surveys” (Tourangeau et al., 2000; Japec et al., 2015). On the other hand, new risks and costs are rising. For example, social Big Data indicators “usually do not correspond to any sampling scheme and they are often representative of particular segments of the population” (Di Bella et al. 2018). Moreover, quality and ethical issues (privacy, confidentiality and transparency) as well as, the technical difficulties to deal with and to interpret this huge amount of data.
Use of Predictive Modeling for Prediction of Future Terrorist Attacks in Pakistan

Recent years have seen an increased interest in Data mining related to terrorism. Large volumes of terrorism records can be analyzed efficiently using data mining techniques to get solutions for crime investigation by law enforcement agencies. On 2014 edition of Global Terrorism Index (GTI, 2015), which systematically rank and compares 162 countries to the impact of terrorism, Pakistan was ranked as the third most affected country. The area of predicting terrorist incidents in the perspective of Pakistan is not adequately explored by the data mining research community which assert a serious concern. This study is focused on analyzing Incident data set from Global Terrorism Database (GTD) specific to Pakistan from year 1970 to 2014 by using predictive modeling. Prediction of future terrorist attacks according to City, Attack type, Target type, Claim mode, Weapon type and Motive of attack through classification techniques will facilitates the decision making process by security organizations as to learn from the previous stored attack information and then rate the targeted sectors/ areas of Pakistan accordingly for security measures.
Stock Market Performance of Firms in the Nigerian Petroleum Sector Using the ARIMA Model Approach

The study was on stock market performance of quoted oil firms in the Nigeria using the ARIMA model approach. The problem of study is that that previous studies have questionable methodologies when measuring the impact of certain factors on stock market returns. Again, the existence of multiple competing models immediately calls into question the robustness of previous findings, the squared returns of some of the models also obscured by very noisy volatility indicators. The objective of study is to examine the impact of liquidity measured by turnover ratio on stock market returns of petroleum firms in the Nigerian Stock Market. In the methodology used was the ARIMA model, findings indicate evidence that AR is stationary and MA is invertible. For the three oil firms under study it was evident that there were significant relationship between their liquidity measured by market capitalization ratio and their respective stock market returns. Amongst the three quoted oil firms, Mobil Plc at 74.3% had the lowest R2 which indicates that liquidity had a positive and significant impact on stock market returns for the company shares but was much lower than the other quoted companies which could be attributed to lower stock trading in line with the works of Raghbendra (2003) and Ekanem (2003). It has been statistically proven that macroeconomic variables have a strong significance on changes in market performance and value of market capitalization. Hence the Nigerian Securities and Exchange Commission to encourage increase in after-tax profits of petroleum sector based firms. Recommendations include making strategies to be designed toward reaping abnormal returns by exploiting information and actions that enhance inefficiency in stock markets thus, firms and individuals should be encouraged to buy or sell securities outside their face values, as a means of encouraging business or economic activities in the economy this is due to large volatilities in some markets. As a risk control strategy knowledge of portfolio rebalancing can be seen where an informed investor acknowledges the usefulness of compounding effect of returns on his portfolio by calculating based on compound average and not simple average. Hence more research can be made in studying theoretical and empirical applications of models measuring weighty risk management strategies such as portfolio rebalancing.
MODELLING THE GENERATION AND PROPAGATION OF LANDSLIDE- GENERATED WAVES

Sub-aerial landslides in water bodies such as bays, fjords, lakes and reservoirs can generate water waves tens or even hundreds of meters high, with potentially devastating effects on infrastructure and human safety. British Columbia has experienced several historic landslide-generated wave events, such as the 20m high Haney slide wave in the Fraser River (1880); the 25-m high Attachie slide wave in the Peace River (1973) and the recent 35-m high Chehalis Lake wave event (2007). Using the Telemac-2D hydrodynamic model, it is demonstrated that wave propagation results are very sensitive to the mesh resolution and numerical scheme applied to solve the flow equations, typically resulting in excessive wave dissipation (i.e. amplitude under-prediction). It is also shown that correct modelling of these waves requires reproducing the solid slide impacting the water body at high velocity, which is possible using the computational fluid dynamics (CFD) model Flow-3D. In order to accurately model in Flow-3D the wave propagation over distances larger than 10 times the water depth away from the wave generation region, it is recommended to use second order numerical schemes to solve the momentum advection equations.
Comparative Study of the Antioxidant , Free Radical Scavenging Activity and Human LDL Oxidation Inhibition of Three Extracts From Seeds of a Cameroonian Spice , Xylopia parviflora ( A . Rich . ) Benth . ( Annonaceae )

The antioxidant activity of water, ethanol and hydroethanolic extracts of the spice Xylopia parviflora (A. Rich.) Benth. (Annonaceae) from Cameroon, was evaluated using different antioxidant tests such as O, OH•, NO, DPPH, ABTS• scavenging activities, FRAP, as well as metal chelation and inhibition of copper-induced in vitro human low density lipoprotein (LDL) and -linoleic acid oxidation. DPPH and ABTS were determined kinetically. Compared with two other extracts, the water extract exhibited the lowest phenolic content, AEABTS and AEDPPH values while the ethanol extract had the highest phenolic content and reductive potential and the hydroethanolic extract the highest AEABTS and AEDPPH values (P < 0.05). All extracts exhibited a dose dependent inhibition of O, OH•, NO, radicals, metal chelating activity and inhibition of -linoleic acid and LDL oxidation (P < 0.05). Those various antioxidant activities were compared to standard antioxidants such as catechin and ascorbic acid. Compared with controls, each extract significantly decreased malondialdehyde and lipid hydroperoxide formation in LDL (P < 0.05). Contrary to other antioxidant methods where the ethanolic extract was the most potent, the hydroethanolic extract exhibited the highest inhibition of LDL oxidation, metal chelating and nitric oxide scavenging activities. Therefore, Xylopia parviflora could be a good source of natural antioxidant. _____________________________________________________________________________________________________________
Labyrinthine Fistulae in Squamosal Type of Chronic Otitis Media: Therapeutic Outcome

Introduction: Labyrinthine fistulae (LF) are the common complications of chronic otitis media (COM) of squamosal variety. The final therapeutic outcome of this condition is to preserve the cochlear and vestibular functions. Herein, we present the data of the cases managed at our institute with respect to their presenting complaints, adopted therapeutic approaches and outcomes. Materials and Methods: A retrospective chart review was conducted on all cases with COM squamosal type in adult patients. A total of 275 patients were reviewed, out of whom 30 cases had LF. The results were mainly studied with respect to the postoperative improvement of hearing and vertigo. Results: The incidence rate of LF in the present study was obtained at 10.9%. Only 50% of the cases had the symptoms of vertigo. Furthermore, positive fistula test was elicited in 3.3% of the cases. All cases undergoing preoperative imaging were diagnosed successfully. In addition, 42.85% of the cases had profound hearing loss preoperatively, which sustained after the operation. However, 47.61% of the cases showed an improvement of at least ≥ 10 dB in the air-bone gap. Out of the 15 LF cases with vertigo as the main complaint, only 11 cases referred for follow-up. In this regard, 63.63% of the cases had no postoperative vertigo symptoms. Conclusion: Patients with LF may not have complaints of vertigo and a positive fistula sign upon admission. Pre-operative imaging facilitates the diagnosis of this condition. The removal of the matrix under constant irrigation, followed by repair with bone wax and/or autologous tissue, is sufficient to preserve the cochlear and vestibular symptoms postoperatively.
Birth hospitalization in mothers with multiple sclerosis and their newborns

Objective: To compare the duration of birth hospitalization in mothers with multiple sclerosis (MS) and their newborns relative to the general population and to investigate the impact of MS-related clinical factors on the length of birth hospitalization stays. Methods: Data from the British Columbia Perinatal Database Registry and the British Columbia MS database were linked in this retrospective cohort study. The duration of birth hospitalization in mothers with MS and their newborns (n = 432) were compared with a frequency-matched sample of the general population (n = 2,975) from 1998 to 2009. Clinical factors investigated included disease duration and disability, as measured by the Expanded Disability Status Scale. A multivariable model (generalized estimating equations) was used to analyze the association between MS and duration of birth hospitalization, adjusting for factors such as maternal age, diabetes, hypertension, and consecutive births to the same mother. Additional analyses included propensity score matching to further balance cohort characteristics. Results: Compared with the general population, the duration of birth hospitalization was not statistically or clinically different for mothers with MS or their newborns (median differences = +1.5 and +2.1 hours, respectively; adjusted p > 0.4). Lengths of birth hospitalization were not significantly associated with disease duration (adjusted p > 0.7) or level of disability (adjusted p > 0.5). Findings remained virtually unchanged after propensity score matching. Conclusions: Birth hospitalization has been understudied in women with MS. Contrary to existing studies, we found that MS was not associated with a longer birth hospitalization. This study provides assurance to expectant mothers with MS, their families, and health care providers.
2 Quantum Theory of Spin Waves

In Chapter 1, we discussed the angular momenta and magnetic moments of individual atoms and ions. When these atoms or ions are constituents of a solid, it is important to take into consideration the ways in which the angular momenta on different sites interact with one another. For simplicity, we will restrict our attention to the case when the angular momentum on each site is entirely due to spin. The elementary excitations of coupled spin systems in solids are called spin waves. In this chapter, we will introduce the quantum theory of these excitations at low temperatures. The two primary interaction mechanisms for spins are magnetic dipole–dipole coupling and a mechanism of quantum mechanical origin referred to as the exchange interaction. The dipolar interactions are of importance when the spin wavelength is very long compared to the spacing between spins, and the exchange interaction dominates when the spacing between spins becomes significant on the scale of a wavelength. In this chapter, we focus on exchange-dominated spin waves, while dipolar spin waves are the primary topic of subsequent chapters. We begin this chapter with a quantum mechanical treatment of a single electron in a uniform field and follow it with the derivations of Zeeman energy and Larmor precession. We then consider one of the simplest exchangecoupled spin systems, molecular hydrogen. Exchange plays a crucial role in the existence of ordered spin systems. The ground state of H2 is a two-electron exchange-coupled system in an embryonic antiferromagnetic state. It serves to illustrate the origins of the exchange interaction and also provides a vehicle for our discussion on the Heisenberg spin Hamiltonian in ferromagnetic solids.
Effect of Irrigation Regimes and Phosphorus Level on Two Vica Faba Varieties : 1-Growth characters

Field experiments were conducted during two successive growing seasons 2010-2011 to study the effect of skipping two irrigations at different growth stage and phosphorous levels on some growth characters (Seed weight per plant (g), Number of seed per plant, Number of branch per plant, Plant height (cm), Number of pods per plant and 100 seed weigh (g)) of two faba bean varieties (GB and G416) grown in clay loam soil. Phosphorous was applied at the rate of 10 (P3), 15 (P2) and 20 (P1) kg P2O5 / fed during seed bed preparation. Faba bean was planted on the 1 week of November, and growing season lasted 150 day. The drip irrigation regimes used were: irrigation allover the irrigation season at 100% of ETc (IR1), as IR1 and skipping two irrigation at the floral initiation stage (IR2), as IR1 and skipping two irrigation at flowering stage (IR3) and as IR1 and skipping two irrigation at podding stage (IR4). Data obtained indicated that GB surpassed G461 in all the growth characters except plant height. Skipping two irrigations and decreasing the applied phosphorus adversely affected the growth characters and the differences were significant at the 5% level. Faba bean stressing must be avoided at flowering stage. Under deficit irrigation in arid and semi arid regions, faba bean can be water stressed at podding stage and achieves comparative growth characters and saves 11.4% of irrigation requirement, relative to the control (IR1).
Teaching and Learning ICT as a Subject in Nigerian Secondary Schools: The Challenge of Pre-service Teachers Education Preparation

This study investigates the factors militating against the preparation of pre-service teachers’ training for the teaching of computer science education (CSE) in Nigerian secondary schools. The study consisted of 165 pre-service teachers and 11 teacher educators from Osun State Colleges of Education. The study employed quantitative research design using survey research design to elicit data from the respondents. The results of the study reveal that the computer science educators teaching the pre-service teachers were qualified but inadequate in terms of number; computer facilities were inadequate and the available ones are obsolete; lecture method was mostly used for the training of the pre-service teachers; and the pre-service teachers have low proficiency in both hardware and software components. The study concluded that the CSE pre-service teachers in Osun State Colleges of Education were not proficient in computer software and hardware component because they had low level of computer software and hardware component proficiency. The implication and recommendations were drawn from the study that can help educational stakeholders as well as Nigerian education policy makers.
Multi-Person Tracking Based on Faster R-CNN and Deep Appearance Features

Mostly computer vision problems related to crowd analytics are highly dependent upon multi-object tracking (MOT) systems. There are two major steps involved in the design of MOT system: object detection and association. In the first step, desired objects are detected in every frame of video stream. Detection quality directly influences the performance of tracking. The second step involves the correspondence of detected objects in current frame with the previous to obtain their trajectories. High accuracy in object detection system results in less number of missing detection and finally produces less fragmented tracks. Better object association increases the affinity between objects in different frames. This paper presents a novel algorithm for improved object detection followed by enhanced object tracking. Object detection accuracy has been increased by employing deep learning-based Faster region convolutional neural network (Faster R-CNN) algorithm. Object association is carried out by using appearance and improved motion features. Evaluation results show that we have enhanced the performance of current state-of-the-art work by reducing identity switches and fragmentation.
IL‐33 synergizes with TCR and IL‐12 signaling to promote the effector function of CD8+ T cells

The effector functions of CD8+ T cells are influenced by tissue inflammatory microenvironments. IL‐33, a member of the IL‐1 family, acts as a danger signal after its release during cell necrosis. The IL‐33/ST2 axis has been implicated in various Th2 responses. Its role in CD8+ T‐cell‐mediated immune response is, however, not known. Here we find that type 1 cytotoxic T (Tc1) cells cultured in vitro unexpectedly express high levels of the IL‐33 receptor ST2. Interestingly, the expression of ST2 in Tc1 cells is dependent on T‐bet, a master Th1/Tc1 transcription factor. In addition, IL‐33 enhances TCR‐triggered IFN‐γ production. IL‐33 together with IL‐12 can stimulate IFN‐γ production in Tc1 cells. Moreover, IL‐33 synergizes with IL‐12 to promote CD8+ T‐cell effector function. The synergistic effect of IL‐33 and IL‐12 is partly mediated by Gadd45b. Together, these in vitro data establish a novel role of IL‐33 in promoting effector type 1 adaptive immune responses.
Consensus Treatment of adult Graves ’ disease Traitement de la maladie de Basedow de l ’ adulte

Bernard Corvilaina, Antoine Hamyb, Laurent Brunaudc, Françoise Borson-Chazotd, Jacques Orgiazzie, Leila Bensalem Hachmif, Mourad Semrounig, Patrice Rodienh,∗, Charlotte Lepeutrei a Department of Endocrinology, Erasme University Hospital, université Libre de Bruxelles, Brussels, Belgium b Service de chirurgie viscérale et endocrine, CHU d’Angers, 49000 Angers, France c Service de chirurgie, unité de chirurgie endocrinienne, thyroïdienne et métabolique, unité multidisciplinaire de chirurgie de l’obésité, université de Lorraine, CHU Nancy, hôpital Brabois adultes, 11, allée du Morvan, 54511 Vandœuvre-les-Nancy, France d HESPER EA 7425, hospices civils de Lyon, fédération d’endocrinologie, université Claude-Bernard Lyon 1, 69008 Lyon, France e CERMEP-imagerie du vivant, université Claude-Bernard Lyon 1, Lyon, France f Service d’endocrinologie à l’Institut national de nutrition de Tunis, faculté de médecine de Tunis, Tunisia g Departement de médecine, CHU Beni Messous, Alger, Algeria h Service EDN, centre de référence des maladies rares de la thyroïde et des récepteurs hormonaux, CHU d’Angers, 49000 Angers, France i Service de médecine nucléaire, Inserm U970, Sorbonne université, groupe hospitalier Pitié-Salpétrière, 75013 Paris, France