Miracle-dz/UniFAR-FTUs huggingface dataset:
Ethnographic research in maternal and child health

A unique and innovative resource for conducting ethnographic research in health care settings, Ethnographic Research in Maternal and Child Health provides a combination of ethnographic theory and an international selection of empirical case studies. The book begins with an overview of the origins and development of ethnography as a methodology, discussing underpinning theoretical perspectives, key methods and challenges related to conducting this type of research. The following substantive chapters present and reflect on ethnographic studies conducted in the fields of maternal and child health, neonatal nursing, midwifery and reproductive health. Designed for academics, postgraduate students and health practitioners within maternal and child health, family health, medical sociology, medical anthropology, medicine, midwifery, neonatal care, paediatrics, social anthropology and public health, the book will also illuminate issues that can help health practitioners to improve service delivery.
“Digital Threads across the Landscape” – a smartphone application co-developed by users

“Digital Threads across the Landscape“ ist eine Smartphone-Anwendung, die prahistorische und historische Funde und Fundplatze passend je nach dem aktuellem Standort des Benutzers anzeigt. Das Projekt strebt an, das kulturelle Erbe fur ein breites Publikum leichter verfugbar zu machen und die Offentlichkeit auf neuen und anderen Wegen fur die Kulturgeschichte zu interessieren. Es soll dem Publikum neue Erfahrungen auserhalb der Sphare traditioneller Museen vermitteln mit Hilfe standortbezogener Programme in Smartphones und Techniken der “Augmented Reality“. Derzeit sind 51 Orte, die eine Zeitspanne von 12.000 Jahren abdecken, in einer App verfugbar. Ein web-basierter Editor macht es z. B. fur Museumskuratoren einfach, neue Orte selbst hinzuzufugen, so dass die Anwendung derzeit von Monat zu Monat wachst. Wahrend des Entwicklungsprozesses wurden zwei Gruppen von Nicht-Profis als Mitentwickler hinzugezogen: eine Gruppe von Studenten und eine Gruppe von Senioren. Die Beteiligung von zwei sehr unterschiedlichen Zielgruppen war fruchtbar und lehrreich fur alle Beteiligten. Die Entwickler und die Museumskuratoren erhielten neue Ideen und direkte Ruckmeldungen seitens des Publikums zur Form, Funktionalitat und zum Inhalt des Projekts. Umgekehrt entwickelten die beteiligten Nicht-Profis ein Wir-Gewuhl und wurden zu Botschaftern der entwickelten App.
Predicting Audience Location on the Basis of the -Nearest Neighbor Multilabel Classification

Understanding audience location information in online social networks is important in designing recommendation systems, improving information dissemination, and so on. In this paper, we focus on predicting the location distribution of audiences on YouTube. And we transform this problem to a multilabel classification problem, while we find there exist three problems when the classical -nearest neighbor based algorithm for multilabel classification (ML-NN) is used to predict location distribution. Firstly, the feature weights are not considered in measuring the similarity degree. Secondly, it consumes considerable computing time in finding similar items by traversing all the training set. Thirdly, the goal of ML-NN is to find relevant labels for every sample which is different from audience location prediction. To solve these problems, we propose the methods of measuring similarity based on weight, quickly finding similar items, and ranking a specific number of labels. On the basis of these methods and the ML-NN, the -nearest neighbor based model for audience location prediction (AL-NN) is proposed for predicting audience location. The experiments based on massive YouTube data show that the proposed model can more accurately predict the location of YouTube video audience than the ML-NN, MLNB, and Rank-SVM methods.
Brain death in neonates: a case report

Brain death (BD) is the permanent and complete loss of cerebral and brainstem function. It is relatively uncommon in newborns with its percentage among deaths being 1-6.3%. BD leads to debate for medical, ethical and philosophical issues. It is a challenging condition in neonatal intensive care units (NICUs) since difficulties for BD diagnosis in neonates and ever more so in preterm neonates do arise. Revised guidelines for BD diagnosis definition include history with known etiology, clinical examination, apnea testing and neurological evaluation often assisted by ancillary tests. We present the case of a near term female baby that was born with brain death due to hypoxic ischemic encephalopathy. We conclude that BD in newborns is a challenge to NICUs and there is a need for establishing and implementing new guidelines and checklists on national basis. Proceedings of the 10 th International Workshop on Neonatology · Cagliari (Italy) · October 22 nd -25 th , 2014 · The last ten years, the next ten years in Neonatology Guest Editors: Vassilios Fanos, Michele Mussap, Gavino Faa, Apostolos Papageorgiou
Simulation Comparisons of Induction Generators for Wind Power Systems

 Abstract— This paper describes the performance comparison of a wind power systems based on two different induction generators as well as the experimental demonstration of a wind turbine simulator for the maximum power extraction. The two induction machines studied for the comparison are the squirrel-cage induction generator (SCIG) and the doubly fed induction generator (DFIG). The techniques of direct grid integration, independent power control, and the droop phenomenon of distribution line are studied and compared between the SCIG and DFIG systems. Both systems are modeled in MATLAB/Simulink. A commercial induction motor drive was programmed to emulate the wind turbine and is coupled to the experimental generator systems. The turbine experimental results matched well with the theoretical turbine operation. FOC has been presented based on DFIG mathematical equations only. However, a three-phase choke is commonly used to couple the stator-side converter into the grid. Therefore, this paper proposes the FOC schemes of stator-side converter involving the choke, and it turns out that both stator- and rotor side converter voltages consist of a current regulation part and a cross-coupling part. First, this paper presents an experimental setup to emulate the wind turbine operation in torque control mode and thus to obtain a power operation curve for optimal power control. Second, the modeling and simulation of SCIG and DFIG wind systems are studied. Comparison between SCIG without static var compensator (STATCOM) and SCIG with STATCOM as well as DFIG system clearly indicates difference in resulted distribution line voltage.The paper is organized as follows. The wind turbine is modeled and simulated using the turbine emulator, and an expression of optimal output power versus rotor speed is proposed in Section II. In Section III, the SCIG wind power system is established based on wind turbine system described in Section II. In addition, the DFIG is introduced by mathematical model in Section IV, indicating the relationship of voltage, flux, and torque. At last, steady-state and dynamic experiment/simulation results are presented and discussed in Section V.
An edge texture features based methodology for bulk paddy variety recognition

The paper presents a method for recognition of paddy varieties from their bulk grain sample edge images based on Haralick texture features extracted from grey level co-occurrence matrices. The edge images were obtained using Canny and maximum gradient edge detection methods. The average paddy variety recognition performances of the two categories of edge images were evaluated and compared. A feature set of thirteen texture features was considered and the feature set was reduced based on contribution of each feature to the paddy variety recognition accuracy. The average paddy variety recognition accuracy of 87.80% was obtained for the reduced eight texture features extracted from maximum gradient edge images. The work is useful in developing a machine vision system for agriculture produce market and developing multimedia applications in agriculture sciences.
The Bidirectional Long-Short-Term Memory Neural Network based Word Retrieval for Arabic Documents

The reflow from Arabic document image collections is a challenging task. This is partly due to the insolubility of the Arabic script. Because of the peculiarity of the whole body of the Arabic words, namely connectivity between the characters, thereby the segmentation of An Arabic word is very arduous and also the variability of the handwritten styles and shapes as well as deceleratation in the print therefore Arabic document repositories are not liable to indexation and reflow. In this paper, we are proposing an idea for reflow coherent Arabic document in response to an appropriate Arabic query word. We present a novel approach at reflow on an Arabic document image, using a Bidirectional Long-Short-Term Memory Neural Network. The designed to take relating to information into account, these networks can maintain Arabic word images that can not be durable segmented into individual Arabic characters. The partitioning Arabic word, we easier the problem and receive elevated reflow rates. The proposed capable reflow scheme avoids unambiguous recognition of Arabic characters. An experimental evaluation on a dataset of Arabic word images conjunct from handwritten notebook show good precision even in the impendence of printing transformation and deceleratation. The reflow Arabic word performance is comparison with baseline methods. These results encourage the development of real world systems for word reflow for Arabic documents.
Elastic distance between curves under the metamorphosis viewpoint

We provide a new angle and obtain new results on a class of metrics on length-normalized curves in $d$ dimensions, represented by their unit tangents expressed as a function of arc-length, which are functions from the unit interval to the $(d-1)$-dimensional unit sphere. These metrics are derived from the combined action of diffeomorphisms (change of parameters) and arc-length-dependent rotation acting on the tangent. Minimizing a Riemannian metric balancing a right-invariant metric on diffeomorphisms and an $L^2$ norm on the motion of tangents leads to a special case of "metamorphosis", which provides a general framework adapted to similar situations when Lie groups acts on Riemannian manifolds. Within this framework and using a Sobolev norm with order 1 on the diffeomorphism group, we generalize previous results from the literature that provide explicit geodesic distances on parametrized curves.
Implementation of digital coded squelch system in dual-mode two way radio

Because the digital two way radio's spectrum efficiency is much higher than analog one,and also the digital one can provide more kinds of data processing and flexibility,so analog two way radio's digital transformation process has been overwhelming.In this transitional period,development of dual-mode two way radio should meet the market needs to achieve smooth transition.The digital baseband signal processing system in dual-mode two way radio has been implemented on digital signal processor(DSP),then,the digital coded squelch system which used to be implemented on ASIC also needs to transplant onto the DSP,as this can not only simplify the system hardware and improve the integration,but also reduce costs and power consumption.This article describes how to develop digital coded squelch system on hardware platform based DSP.After testing,the digital coded squelch system works reliably when the output SNR of the receiver is 0dB,which is full compliance with the Electronic Industries Alliance(EIA) standards.
Passeriform introductions to the Mascarenes (Indian Ocean) : An assessment of the role of competition

Nous avons teste deux hypotheses pour savoir si la competition influence la composition des populations de passereaux introduits dans l'ile de La Reunion et dans l'ile Maurice. Sur 16 especes introduites a La Reunion et 15 a Maurice, 10 se sont maintenues a La Reunion et 9 a Maurice. La premiere hypothese suppose que les especes qui ont reussi a s'acclimater dans l'une ou l'autre ile seraient celles qui ont ete introduites alors que les autres especes deja importees etaient moins nombreuses. Nous avons donc cherche a mettre en evidence un tel effet de priorite en comparant le nombre d'especes deja importees (NSP) presentes au moment de l'introduction des especes qui ont reussi avec le NSP des especes qui ont echoue. Considerant que les especes caracterisees par un NSPfaible ont une plus grande probabilite de succes, nous avons estime les probabilites d'acclimatation a partir de donnees concernant l'introduction de ces especes sur d'autres iles que les Mascareignes et nous les avons comparees chez les especes introduites recemment et dans le passe ; aucune difference significative n'a ete mise en evidence. La seconde hypothese suppose que les especes qui se sont maintenues seraient celles qui se distinguent morphologiquement des autres especes. Nous avons teste cette seconde hypothese par une analyse en composantes principales (ACP) suivie d'une seconde analyse par la methode de l'Arbre de Longueur Minimale (Minimal Spanning Tree) sur des donnees de morphologie, en considerant que les especes qui se sont maintenues seraient plus dispersees dans un espace de composants principaux et seraient distribuees plus regulierement que des especes prises au hasard. Nous avons observe un effet de priorite et une hyperdispersion morphologique a La Reunion mais pas a l'ile Maurice. Ces resultats differents dans les deux iles ont deux explications plausibles. 1) La competition serait bien le facteur le plus important a l'ile de La Reunion qui permettrait aux populations de passereaux de se maintenir, alors qu'a l'ile Maurice d'autres processus interviendraient ; 2) les resultats obtenus a La Reunion seraient dus au hasard.
Détermination de la compacité des ciments et additions minérales à la sonde de Vicat

La methode scientifique de formulation des betons, developpee par le LCPC et mise en oeuvre dans le logiciel BetonlabPro depuis plusieurs annees, est fondee sur des concepts granulaires. C'est pourquoi l'utilisation de ce logiciel necessite la connaissance de la compacite de l'ensemble des fractions granulaires elementaires, et notamment celle des poudres minerales (ciments, additions etc.). Pour ces dernieres, une mesure visuelle de la demande en eau, par recherche d'un changement d'etat entre melange de boulettes humides et pâte lisse, est preconisee. L'appreciation du changement d'etat depend de l'operateur, ce qui peut diminuer la reproductibilite, bien que pour un operateur donne la repetabilite soit bonne. Des chercheurs ont recemment propose une methode alternative fondee sur la determination de la demande en eau pour une consistance normale mesuree a la sonde de Vicat. Il est montre que les deux methodes de mesure de la demande en eau sont coherentes entre elles dans le cadre du modele granulaire utilise. On confirme ainsi l'interet de la nouvelle methode, moins subjective, et on en precise le mode operatoire pour une utilisation dans BetonlabPro.
A Hybrid Skin Colour Based Face Detection System to Optimally Detect Black Faces

The inability of some face detection systems to detect dark faces has necessitated the introduction of a robust system that can handle optimal detection of dark people's faces. This paper presents a hybrid face detection algorithm that utilises the Gaussian model and Explicit rule algorithm for skin detection. A combination of the morphological and anthropological method was used to detect faces from the skin region in the face detection system. Faces from the Eye blink and face corpora were used to test the developed system. Findings reveal that Gaussian model could detect the skin with an accuracy of 87% and the Explicit-rule with an accuracy of 71%, while the hybrid obtained 89% detection rate on the black eye blink and face corpora.
Validating the use of the shuttle walking test in healthy adult women

The Shuttle Walking Test (SWT), with its externally paced characteristics, is commonly used as an objective measure of functional capacity. The reliability and validity of the SWT has been previously shown but only in patient populations. No studies have been carried out to investigate the validity of the SWT in healthy adult women. Therefore, the primary aim of this test was to determine if the SWT is a valid field measure of cardiorespiratory fitness in hea! thy adult women. A secondary aim was to identify if variables, such as age, body composition and habitual physical activity influence perfonnance on the SWT. Th~ distance ambulated on the SWT \Va'l compared with a standard laboratory test of cardiorespiratory capacity, peak oxygen consumption ( V02peU) determined on an Individualised Balke Treadmill Test (IBT). Thirty-four healthy adult women with an age range of 32 ~ 65 yrs completed both exercise tests. Mean (± SD) SWT distance 624.5 (148.9) m and vo,~·· 29.4 (7.8) ml.kg'. min were higher than that shown in previous studies of patient populations. Pearson product moment correlation analysis indicated a moderate but significant relationship (r = 0.58, p = 0.0005) between SWT distance and Vo,peak. Variability in performance on the SWT can be explained partly by age and estimated body fat. This study is the first to investigate the validity of the SWT in healthy adult women. The correlation with V02peak from IBT was lower than that in previous studies with patient populations. The findings suggest that performance on the SWT in healthy
Equilibrium, Kinetics, and Thermodynamics of the Biosorption of Zn(II) from Aqueous Solution Using Powdered Cow Hooves

The capability of cow hoof (CH) to remove Zn(II) from aqueous solution under the influence of sorbent size, solution pH, contact time, and sorbent dosage was investigated through batch studies. Equilibrium studies were conducted at three different temperatures (298, 308, and 318 K) by contacting different concentrations of Zn(II) solution with a known weight of cow hoof. The biosorption of Zn onto cow hoof was found to increase with increase in the mass of sorbent used while the biosorption efficiency was found to decrease with increase in sorbent particle size. The optimum conditions of pH 4 and contact time of 60 minutes were required for maximum removal of Zn(II) by cow hoof (mesh size 212 µm). The equilibrium data were modelled using Langmuir, Freundlich, and Dubinin-Radushkevich (D-R) isotherm models. The data were best fitted by Langmuir model. The kinetic data were analysed using Lagergren kinetic equations and these were well fitted by the pseudo-second-order kinetic model. The thermodynamic parameters showed that the biosorption process was feasible, spontaneous, and endothermic.
Big Data Analysis Techniques for Visualization of Genomics in Medicinal Plants

In this chapter, the complete overview and application of Big Data analysis in the field of health care industries, Clinical Informatics, Personalized Medicine and Bioinformatics is provided. The major tools and databases used for the Big Data analysis are discussed in this chapter. The development of sequencing machines has led to the fast and effective ways of generating DNA, RNA, Whole Genome data, Transcriptomics data, etc. available in our hands in just a matter of hours. The complete Next Generation Sequencing (NGS) huge data analysis work flow for the medicinal plants are discussed in the chapter. This chapter serves as an introduction to the big data analysis in Next Generation Sequencing and concludes with a summary of the topics of the remaining chapters of this book.
Analysing challenges facing smallholder farmers and conservation agriculture in South Africa: A system dynamics approach

Smallholder farmers in South Africa find it challenging to participate in the modern economy. Most of these farmers have limited access to credit and insurance, and to markets in which to sell their produce. This paper reviews ethnographic research data and argues that smallholder farmers struggle to take part in modern agricultural value chains in South Africa. System dynamics modelling is used to understand the dynamics relating to agricultural value-chain participants, and to determine whether the ethnographic research data is sufficient to answer the question as to which value-chain participants potentially have the largest impact on smallholder farmers. The modelling results show that banks may have the potential to trigger an impact on smallholder farmers’ productivity that could then attract other value-chain industries to take part in efforts to support these farmers. Smallholder farmers could become a long-term viable and sustainable option for increasing food security in South Africa. However, this study has its limitations. The data used from existing ethnographic research, conducted by way of semi-structured interviews with valuechain participants, is limited and is not able to answer questions such as: (i) how much each industry is prepared to engage with smallholder farmers in the event of other industries being prepared to do the same; and (ii) how long it will take each industry to react to a willingness to engage. Ongoing research is required to extend the interviewee base and data in order to answer these questions and for the model to be completed and used for policy guidance.
Les déterminants du statut nutritionnel au Matlab: une analyse empirique

This paper analyses the factors that influence child health in Bangadesh using the demographic and Health Survey data (2000). The study questions the exact role of the mother's schooling as it does not appear that in Bangladesh the impact of the mother's education works through the acquisition of information. It is found to be of value only through her learning how to read and write. Our results reveal a small but a significant impact of wealth on stunting. However, we do not find any evidence that a long breastfeeding period has a payoff in terms of better health and nutrition. In contrast, it has a detrimental impact related to a poor maternal nutritional knowledge. Family background characteristics are highly correlated with the child's anthropometric outcome suggesting the existence of a vicious circle of poor health and nutrition perpetuating itself across generations. The implications for policy makers of high levels of child malnutrition and the effect that these have on children are discussed.
Human Activity Modeling and Simulation with High Biofidelity

Abstract : Human activity Modeling and Simulation (MS (b) pose modeling and dynamic modeling; (c) motion capture (in particular, markerless motion capture); (d) inverse kinematics and motion mapping/creation; and (e) creation and replication of human activity in 3-D space with true shape and motion. A brief review is conducted to discuss the methods and techniques related to these topics, along with some research results. Examples are provided to illustrate the importance of biofidelity in the simulation-based training.
Multi-Source Least-square Reverse Time Migration Based on MPI And CUDA Hybrid Accelerating Algorithm

Least-squares reverse-time migration (LSRTM) is able to produce images with fewer artefacts, higher resolution and more accurate amplitudes over conventional migration method. Because of these benefits, LSRTM attracts greater interest in recent years. However, the computational cost of LSRTM is much more expensive than traditional migration method. In order to reduce the calculation time, we propose a method to combine CPU and GPU together to accelerate the calculation of multi-source LSRTM using MPI and CUDA. This method and can parallel both in coarse-grain and fine-grain and make full use of the hardware facilities. Synthetic examples show that the method can greatly reduce the calculation time than the traditional LSRTM.