Miracle-dz/UniFAR-FTUs huggingface dataset:
Quelques outils pour la commande des robots à pattes

La commande d’un robot à pattes se distingue de la commande d’un robot manipulateur à cause des particularités suivantes : les différentes phases du mouvement sont décrites par des modèles différents (simple appui, double appui, vol . . .) ; l’impact est décrit par une discontinuité sur les vitesses du robot, le contact avec le sol est unilatéral, la recherche d’une marche cyclique se traduit par une convergence vers un mouvement cyclique. Compte tenu de ces différences, des approches spécifiques existent. Cette présentation insistera sur les deux outils suivant et leur utilisation à travers quelques exemples : le Zéro Moment Point ZMP, largement utilisées sur les prototypes japonais ; et l’application de Poincaré de premier retour utilisée dans les analyses de stabilité.
Microwave Resonance in a Waveguide System

A waveguide system in the microwave X-band (~8.5 GHz) is described. A brief introduction to the measurement apparatus is covered. The power, center frequency, and frequency modulation of the source are characterized. The system is tuned to resonance, its ! E field is mapped, and waveguide coupling impedance are explored. Finally, a balanced mixer is used to find the phase shift of reflected microwaves, and a circuit for a Phase-Locked Loop is
Precise Synthesis of Miktoarm Star Polymers by Using a New Dual-Functionalized 1,1-Diphenylethylene Derivative in Conjunction with Living Anionic Polymerization System

The general utility of a 1,1-diphenylethylene (DPE) derivative substituted with trimethylsilyl- and tert-butyldimethylsilyl-protected hydroxyl functionalities, as a new dual-functionalized core agent in conjunction with a living anionic polymerization system, has been demonstrated by the successful synthesis of various well-defined 3-arm ABC and 4-arm ABCD μ-star polymers. Two different protected hydroxyl functionalities were progressively deprotected to generate hydroxyl groups, followed by conversion to α-phenyl acrylate (PA) functions at separate stages, and the PA functions were reacted with appropriate living anionic polymers to result in the above μ-stars. In order to further synthesize μ-star polymers with five or more arms, a new iterative methodology using a functional DPE anion derived from the above DPE derivative has been developed. The reaction system of this methodology is designed in such a way that the PA function used as the reaction site is regenerated after the introduction of an arm se.
Rapid Glycosylated Functionalization of Single-walled Carbon Nanotubes for Lectin Recognition

Single-walled carbon nanotube(SWNT) was functionalized with N-n-octadecyl-D-maltonamide(NOMA),a simple sugar-containing amphipathic compound,by a method of noncovalent adsorption to form a NOMA-SWNT nanocomposite.The spectroscopic and morphology results show that NOMA could be rapidly and effectively adsorbed on the surface of SWNT without changing the native structure of NOMA and the structure properties of SWNT.Moreover,it was shown that the dispersion ability of SWNT in aqueous solution had a significant improvement after coating with NOMA.Field effect transistor(FET) devices with a NOMA-SWNT bundle as the conducting channel have been developed to detect maltose-Concanavalin A(Con A) interaction.Obvious changes in the Carbon nanotube field effect transistor(CNTFET) characteristics have been detected after NOMA functionalization and after Con A adsorption to the NOMA coating layer,which demenstrates the possobility of noncovalent glycosylated functionalization of SWNTs with simple molecue NOMA and sugar-lectin recognition detection by CNTFET.The presented method for functionalization of SWNT had several advantages,such as rapid and facile CNT functionalization,good hydrophilicity and biocompatibility,versatile detection of receptor via various glycoligand molecule,etc.,and could be used for bio-functionalized materials,detection of carbohydrate-protein interactions and diagnose processes of deleterious disease.
IMPACT OF SUSTAINABLE SOIL MANAGEMENT TECHNIQUES ON LAND PRODUCTIVITY OF ARABLE CROP FARMERS IN IMO STATE, NIGERIA

The study was designed to examine the impact of sustainable soil management techniques on land productivity of arable crop farmers in Imo State, Nigeria. Despite various efforts to produce basic foods for the increasing population in Nigeria, the track record of performance over the years has proved abortive. This stems from the use of variant unsustainable soil management techniques which are concomitant to soil erosion, nutrient depletion and decline in food production. Multi-stage random sampling technique was used to select 209 arable crop farmers. Objectives of this study were elicited from the sampled respondents through a well structured questionnaire. Data were analyzed using descriptive statistical tools, average treatment effect (ATE) and local average treatment effect (LATE) models. Results showed that farmers in the area have varied knowledge of sustainable soil management techniques (SSMT). The PSM and IPSW estimates were N141.14 and N97.06 respectively while the LATE by WALD and IV were N152.26 and N158.17. This implies that the use of SSMT has an impact on the productivity of land per unit increase in rent. Hence, farmers at all level should be encouraged to practice efficient soil management techniques in order to improve the productivity of the land.
Bayesian molecular dating using PAML/multidivtime

The Bayesian dating method implemented in multidivtime (Thorne et al. 1998; Kishino et al. 2001) uses a probabilistic model to describe the change in evolutionary rate over time and uses the Markov chain Monte Carlo (MCMC) procedure to derive the posterior distribution of rates and times. It allows simultaneous use of different substitution models for multiple data partitions as well as multiple calibration windows, and provides direct credibility intervals for estimated divergence times and substitution rates.
Prevalence of Malaria amongst Pregnant Women Attending Comprehensive Health Centre Dutsin-Ma Local Government Area, Katsina State, Nigeria

Aim: The aim of this study is to evaluate the epidemiology and burden of malaria amongst pregnant women attending antenatal clinics in Comprehensive Health Center, Dutsin-ma, (CHCDTM) Katsina state, Nigeria. Study Design: This study was designed to assess the epidemiology and burden of malaria amongst pregnant women, a total of 150 pregnant women were randomly selected between the active rainfall season to the early winter period (June and December) 2019. The sample population was selected irrespective of age, educational background and occupation, cultural and religious affiliation. Palce and Duration of Study: The study was was carried out at Comprehensive Health Center Dutsin-Ma (CHCDTM), within a duration of six (6) months. Original Research Article Abdullahi et al.; IJR2H, 3(2): 53-59, 2020; Article no.IJR2H. 63756 54 Methodology: Blood samples were aseptically collected into ethylene-diamine tetraacetic acid (EDTA) bottles and each blood sample was analyzed for malaria parasite. All specimens were analyzed within one hour of collection. Giemsa-stained thick and thin blood films were performed, the average of ten views of a slide were counted and used for the determination of parasite density. The Giemsa stain was carried out using standard quality control procedure as described [8]. Results: The result from the study shows that 108 (72%) were found to be infected with malaria. Malaria infection among age groups 25-29 years was highest with frequency of 39(36.1%) and lowest 1(0.9%) among age group 15-19 years. Respondents in their second trimester had the highest prevalence 87(80.5%) with least prevalence in first trimester 9(6%). Multigravida had the highest infection rate 63(58.3%) while secundigravida had the least prevalence 16(14.8%). There is a significant difference in parasite burden in relation to gravidity (p < 0.05). Conclusion: Conclusively the burden of malaria amongst pregnant women attending CHCDTM is significant across the various examined dependent variables which implies that malaria remains one of the highest prevalent disease facing pregnant women.
The role of GNSS to support UAS operations for surveillance

Marco Nisi, Pietro Cristofanilli Sistematica S.p.A. , Via Giacomo Peroni, 400, 00131 Rome, Italy Tel. +39 06 98261600; Fax +39 06 98261624, marco.nisi@grupposistematica.it, pietro.cristofanilli@grupposistematica.it Lucjan Gucma, Pawel Zalewski Maritime University of Szczecin, Wały Chrobrego 1-2 str. 70-500 Szczecin, Poland l.gucma@am.szczecin. pl, p.zalewski@am.szczecin. pl Alberto Mennella, Graziano Gagliarde, Gianluca Luisi TopView srl, via A. Pertini 25D, San Nicola La Strada, 81020 (CE), Italy alberto.mennella@topview.it, graziano.gagliarde@topview.it, gianluca.luisi@topview.it Bilal Muhammad, Ramjee Prasad, Department of Business Development and Technology, Aarhus University bilal@btech.au. dk, ramjee@btech.au. dk Damiano Taurino Deepblue s.r. l. , Piazza Buenos Aires 20, 00198, Rome, Italy damiano.taurino@dblue.it
Antimicrobial Activities and Palynological Studies on Gladiolus kotschyanus Boiss. (Iridaceae) from Turkey

The genus Gladiolus includes 260 species of a perennial herb, and commonly called sword lily belonging to lily family – Iridaceae. Total of 9 Gladiolus species are grown in various region of Turkey, 4 of which are endemic to the country. The aim of this study is to verify and estimate if the parts of Gladiolus kotschyanus have any antimicrobial activities; and to show out pollen featuresof this plant, with a view to gaining some insight into the scientific basis for the use of this plant material in Turkey. In the study, methanol, DMSO, ethylacetate nHexan and chloroform extracts of flowers, leaves, branches and corms of the G. kotschyanus obtained from Aladağlar Mountain (Kayseri–Turkey), were tested for antimicrobial effect and pollen features. Antimicrobial activities were studied by disc diffusion method. These extracts were tested against fourteen bacteria and one fungi. The results showed that the DMSO extracts of G.kotschyanus corms (GKC) were active against all tested microorganisms except B. subtilis, but relatively the methanol, ethylacetate, nHexan and chloroform extracts of them were inactive against to all tested microorganisms. Interestingly, results of this study showed that the n-Hexan extracts of G.kotschyanus leaves (GKL) showed more antibacterial activity against Pseudomonas aeruginosa (clinic) (16mm 50 μl-1) than standart antibiotic (Amp:30 μg/disc). Palynological researches carried out on these plants materials and photomicrographs of pollen grains were produced using by using light microscopes, Olympus CX21FS1 and Euromex PB4161 microscopes. G.kotschyanus polen size 74-60 μm, polen shape 1.23 subprolate, aperture monosulcate, sulcus membrane two banded opeculum, polen wall type tectate-columellate, ornamentation spinulate perforate. G.kotschyanus contain antimicrobial components against different microorganisms, which could be in various pharmaceutical preparations. But, the presence of cardiac glycosides in Gladiolus sp. for caution in its use.
A Communicative Action Framework for Discourse Strategies for AI-based Systems: The MetTrains Application Case

Increasing attention is being paid to the challenges of how artificial intelligence (AI)-based systems offer explanations to users. Explanation capabilities developed for older logic-based systems still have relevance, but new thinking is needed in designing explanations and other discourse strategies for new forms of AI that include machine learning. In this work-in-progress paper we show how a communicative action design framework can be used to design an AI-based system’s interface to achieve desired goals. The applicability of the framework is demonstrated with an interface for an intelligent video surveillance system for reducing railway suicide. The communicative action framework is an important step in theory development for human-computer interaction with AI as used in the information systems domain.
THE EFFECT OF DEPRESSION AND ANXIETY ON THE PERFORMANCE STATUS OF CONGESTIVE HEART FAILURE PATIENTS

Individuals who are diagnosed with congested heart failure (CHF) undergo major changes in lifestyle. The present cross-sectional study was conducted to identify the relationship between CHF patients and their performance status, and how it is influenced by the presence of the level of depression and anxiety. 84 eligible participants were enrolled in the study between June 2005 and March 2006 at the Department of Cardiology, Mahatma Ghandi Medical College & Hopital, Jaipur. The patients were screened using the General Health Questionnaire to screen for co-morbid psychiatric conditions. The patients were assessed for depression and anxiety, and their performance status using 17-item Hamilton Depression Rating Scale, Montgomery-Asberg Depression Rating Scale, Hamilton Anxiety Rating Scale and ShortForm Health Survey (SF-36) for the health-related quality-of-life measurements. The study findings indicate that there is a positive correlation between anxiety and depression in CHF patients. The findings also indicated that depression and anxiety are positively correlated with the performance status of CHF patients. The duration of CHF correlated with the performance status of CHF patients. It can be concluded that anxiety and depression are prevalent among CHF patients and that they interfere with the performance status; additionally, duration on CHF also interferes with performance status. Addressing depression and anxiety can help in enhancing the patient‘s performance status.
PRE-PRINT VERSION

‘Digital out-of-home advertising’ (DOOHA) leverages digital screens to reach out to consumers at any time and anywhere in public space. While personalization – tailoring advertisements to an individual – has proven successful for advertising, this concept has its limitations. Particularly challenging are privacy concerns and negative perceptions caused by personalized advertisements. We propose situationalization – adapting advertisements based on the current situation – as a promising (additional) option. The suggested PERSIT matrix (PERsonalizationSITuationalization) structures the available adaptation strategies. It helps advertisers and system designers to make educated strategy decisions for adaptive DOOHA system designs.
Microsoft Word-55233705-file00

length: 198 words Introduction length: 754 words Discussion length: 1200 words Total text length: 27 pages Number of figures: 5 Number of tables: 0 Number of references: 40 Abbreviations: N-acetylcysteine, NAC; metabotropic glutamate receptor, mGluR This article has not been copyedited and formatted. The final version may differ from this version. JPET Fast Forward. Published on February 8, 2011 as DOI: 10.1124/jpet.111. 179317 at A PE T Jornals on M ay 4, 2021 jpet.asjournals. org D ow nladed from
OMA05407 Meta-Analytic Methods in Educational Research: Issues and Their Solutions

Meta-analysis is a valuable statistical technique for synthesising the available educational research literature on a particular topic, owing to its comprehensive and relatively unbiased approach to analysis. Since its conception by Glass in 1976, meta-analysis has been embraced by many researchers in education, psychology, and other disciplines, leading to the evolution of several very distinct methods for conducting meta-analysis – each with their own unique implications. The present paper starts with a discussion of the purpose and value of meta-analysis. This is followed by an overview of the features of the most common meta-analytic techniques (fixed effects models and random effects models), and the emerging technique of multilevel modeling meta-analysis. Historical and contemporary issues in meta-analysis are detailed, with particular attention to publication bias, generalisability and the assumptions inherent in various metaanalytic techniques, multivariate analyses and the independence of effect sizes, and power. Suggestions for how to address these issues will be provided. Finally, guidelines for selecting appropriate meta-analytic methods will be presented, as well as suggested resources for researchers wishing to conduct a meta-analysis. The emphasis of the paper is on understanding the various approaches to conducting responsible meta-analysis and their implications, rather than providing a prescriptive account of performing the technique.
Geriatric nutritional risk index predicts clinical outcomes in hepatocellular carcinoma after transarterial chemoembolization: a retrospective cohort study

Objective: To explore the effects of geriatric nutritional risk index (GNRI) on clinical outcomes of elderly patients with hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE) and its underlying mechanisms. Method: Data from 154 HCC patients over 65 years old undergoing TACE as the initial treatment was retrospectively collected. Patients were divided into the low-risk group (GNRI≥92) and the high-risk group (GNRI<92). Factors affecting tumor response after the first TACE were analyzed using univariate and multivariate logistic regression. A Spearman correlation was performed to assess the relationship between the GRNI and total lymphocyte count (TLC). Finally, the prognostic value of GNRI was examined using Cox regression models. Results: The GNRI score was a risk factor for the disease control rate (P=0.002). A weak but statistically significant correlation was observed between GNRI and TLC (r=0.220, P=0.006). The combination of GNRI≥92 and TLC≥1500 was able to exclude the occurring of progressive disease. During 5-year follow-up, the low-risk group showed statistically longer overall survival (OS) and progression-free survival (PFS) than the high-risk group (median OS=21.0 vs. 13.0 months, P=0.006; median PFS=12.0 vs. 6.0 months, P<0.001). Multivariate analyses revealed that GNRI was independently correlated with OS. Compared with the high-risk group, the low-risk group showed a lower risk of death (hazard ratio =0.622, 95% confidence interval (CI), 0.421-0.919, P=0.017). Conclusion: GNRI is an independent prognostic factor in HCC patients undergoing TACE. Aggressive nutritional intervention targeting GNRI may help improve clinical outcomes.
A Study to Identify the Organizational Role Stress Factors as Perceived by the College of Sciences and Humanities Teachers

In the era of the cross-cultural and competitive environment, the role stress becoming a serious and alarming issue for the teachers at their workplace, impossible to avoid stress completely. The present paper was contemplated to examine the constituents of “Organizational role stress” amongst the teachers employing in the college of Sciences and Humanities in the “Kingdom of Saudi Arabia. ” Further, aimed of this investigation is to grasp the concept of ORS and explore the factors that are responsible for generating “organizational role stress” among teachers working in tertiary education sector in the Kingdom of Saudi Arabia. The inquisition comprised 158 teachers from two Colleges which have been selected randomly. The biographical information blank sheet and “Organizational role stress” scale was utilized in the investigation. With the help of factor analysis, the study identified six factors that the teachers perceived as influential factors responsible for generating role stress. It is advised to the higher leaders and strategists in the College/University to focus on such six factors and required urgent mechanisms to minimize these factors to overcome from role stress and enhance the competencies of the teachers to provide quality education, research, and community services. This study finding will spark new knowledge in the areas of organizational behavior and development to keep away their employees from role stress and make them healthy, contented, and competitive at the workplace.
ON HOW TO MEASURE PHONOLOGICAL COMPLEXITY OF SIGN LANGUAGES

Introduction. Having a measure of the phonological complexity of signs is an important challenge for anyone interested in developing assessment tests for evaluating language competences and language impairments in Deaf populations. Traditionally, there are two main types of approaches to phonological complexity, which we can refer to as theory-driven and data-driven, respectively. The theory-driven approach is well illustrated by Clements (1985) and Sagey (1986) where counting distinctive features is the relevant measure. Brentari's Prosodic Model (1998) belongs to this tradition: she assigns to each phonemic class a set of features organized in a hierarchical structure. Each sign can be described in terms of a branching tree where each branch corresponds to a phonemic class (handshape, location, and movement) and each node corresponds to a set of features. The richer the structure, the higher the complexity of a sign. While this model has proven to provide important cross-linguistic generalizations, its validity beyond ASL cannot be taken for granted. Data-driven approaches, on the other hand, typically rely on pattern/order of acquisition, frequency, speech errors and similar measurable facts to assess phonological complexity. While some of these data are available for some sign languages (typically ASL and BSL), they are entirely missing for others.
A Structural Equation Model of ERP Implementation Success in Thailand

Enterprise Resource Planning (ERP) systems are globally implemented for improving the efficiency of business processes. ERP systems normally provide many advantages for firms, however, reports show few successful implementations. In many cases, problems are due to varied strategic perspectives on implementing ERP systems. These problems are an important reason to identify and understand important success factors as significant enablers to drive ERP in organizations in Thailand. Our research aims to build a model for ERP implementation success based on DeLone and McLean's information system success model. DeLone and Mclean's model uses four constructs; system quality, information quality, service quality and human quality as significant determining factors. Data was gathered from 306 respondents, to a questionnaire, who implemented an ERP system. Data analysis was done using a structural equation model (SEM). Results found that system quality and information quality have a direct effect on user satisfaction. Furthermore, human quality not only has a direct effect on user satisfaction but also affect the ERP implementation success.