Miracle-dz/UniFAR-FTUs huggingface dataset:
14-04 INDIVIDUAL SURVIVAL CURVES COMPARING SUBJECTIVE AND OBSERVED MORTALITY RISKS CAHIER DE RECHERCHE WORKING PAPER

In this paper, we compare individual survival curves constructed from objective (actual mortality) and elicited subjective information (probability of survival to a given target age). We develop a methodology to estimate jointly subjective and objective individualsurvival curves accounting for rounding on subjective reports of perceived mortality risk. We make use of the long follow-up period in the Health and Retirement Study and the high quality of mortality data to estimate individual survival curves which feature both observed and unobserved heterogeneity. This allows us to compare objective and subjective estimates of remaining life expectancy for various groups, evaluate subjective expectations of joint survival and widowhood by household, and compare objective and subjective mortality with standard life-cycle models of consumption.
When to Remember Where You Came from: Node Representation Learning in Higher-order Networks

For trajectory data that tend to have beyond first-order (i.e., non-Markovian) dependencies, higher-order networks have been shown to accurately capture details lost with the standard aggregate network representation. At the same time, representation learning has shown success on a wide range of network tasks, removing the need to hand-craft features for these tasks. In this work, we propose a node representation learning framework called EVO or Embedding Variable Orders, which captures non-Markovian dependencies by combining work on higher-order networks with work on node embeddings. We show that EVO outperforms baselines in tasks where high-order dependencies are likely to matter, demonstrating the benefits of considering high-order dependencies in node embeddings. We also provide insights into when it does or does not help to capture these dependencies. To the best of our knowledge, this is the first work on representation learning for higher-order networks.
Working Memory Span Research for Geometric Material Processing

Article presents working memory span specifics in empirical background and the approach of patterns of visual geometric information processing research by using L. Cheremoshkina mnemonic abilities’ diagnostic method in experimental studies’ series on over 1500 young people from primary school until student’s level. It allows studying the mechanisms of visual geometric abstractive material processing in the progress from short-term memory storage to long-term memory storage, which results of mnemonic activity’s experimental research are described.
UpSet 2 : From Prototype to Tool

UpSet is a technique for visualization and analysis of sets and their intersections which was introduced at InfoVis 2014. The technique visualizes the elements and their set memberships in a matrix layout along with an aligned bar chart to display intersection sizes. As the approach provides a more accurate representation of the size of set intersections and scales better with respect to the number of sets than other approaches, UpSet plots are frequently used in papers in the biomedical domain. However, we believe that this popularity is mostly due to an R version that generates UpSet figures, and not because of our interactive JavaScript implementation that was published with the original paper. Why is the R version more popular? We believe it has multiple reasons, but one of them is that the original tool is an academic prototype, with the usual shortcomings for practical use. This poster presents a new version of UpSet—a tool that was developed to address requests for additional functionality over the original implementation based on user feedback. We describe in detail which changes we undertook to improve the paper prototype into a tool. The new version adds features to improve adoption, improve sharing insights, and allow customization. For example, it allows embedding of the tool in webpages and supports tracking of provenance to provide a undo and redo functionality. The new implementation also can be used as a JavaScript/TypeScript library, which makes it easy to integrate UpSet in larger systems.
Visió per computador en una plataforma basada en un DSP

En aquest projecte s'usa el servidor de video d'Axis Communications 242s IV, basat en el DSP TMS320DM642 de Texas Instruments, com a plataforma per a la implementacio d'un algorisme d'extraccio de fons i pel desenvolupament d'una solucio completa de comptatge de persones per a camera zenital. En el primer cas, s'ha optimitzat i comparat el rendiment de l'algorisme amb el d'una versio per a PC per a avaluar el DSP com a processador per a lamigracio d'una aplicacio completa de videovigilancia. En el segon cas s'han integrat tots els components del servidor en el desenvolupament del comptador per avaluar la plataforma com a base per a solucions completes.
PRODUCTION OF NIGERICIN AND NIPHIMYCIN BY SOIL ISOLATE STREPTOMYCES SP . MS 1 : ANTI-CANDIDA BIOASSAY GUIDED RESPONSE SURFACE METHODOLOGY FOR THE OPTIMIZED CULTURE MEDIUМ † UDC 579 . 873

Anti-Candida bioassay guided optimization of the culture medium was used in order to enhance the antifungal activity of the soil isolate MS1. Its morphological, physiological and biochemical characteristics, as well as 16S rDNA sequencing, assigned an MS1 isolate to genus Streptomyces. Optimization of the culture medium was achieved by experimental factorial design and response surface methodology. Maximal antifungal components production was obtained with starch, soybean meal and phosphates content of 40.52, 5.10 and 2.21 g/L, respectively. Chromatography and 1H and 13CNMR spectroscopy were employed for purification and structural characterization of antifungal antibiotics concurrently produced by this strain. These antibiotics were identified as polyether carboxylic antibiotic nigericin and guanidyl-polyol macrolide, niphimycin.
Ubiquitous Teachers' Training and Lessons Learned With the uProf! Model

This chapter illustrates features and outcomes of the experiences with uProf! , a model for teachers' professional training in ubiquitous learning by tablets and quick response (QR) codes. The model was designed, implemented, and successfully validated in 2012 within a full-immersion, learner-centered, and metacognitive course for 80 Italian high school teachers who are part of a school network for the enhancement of curriculum continuity from middle into high school. Later on, uProf! was used to provide continuous professional training and tailored in-class tutoring during these teachers' first implementations of technology-enhanced learning experiences.
Interlocking directorates in agricultural enterprises in Scania , Sweden

First, the explanatory variable is the composition of the boards – more precisely to which extent the various boards are overlapping. Interlocking directorates may be expected to crossfertilize the agricultural enterprises. There are prospects for better coordination, more concerted action, and faster diffusion of good innovations (Karantininis, 2007). As the same persons meet repeatedly in different boards, a culture of mutual understanding may develop such that they all work for the same purposes. Previous research indicates that a success factor for firms might be the composition of the boards (Karantininis, 2007).
Deformable Image Registration Using Convolutional Neural Networks for Connectomics

In this thesis, a new novel method to align two images with recent deep learning scheme called ssEMnet is presented. The reconstruction of serial-section electron microscopy (ssEM) images gives critical insight to neuroscientist understanding real brains. However, alignment of each ssEM plane is not straightforward because of its densely twisted circuit structures. In addition, dynamic deformations are applied to images in the process of acquiring ssEM dataset from specimens. Even worse, non-matched artifacts like dusts and folds occur in the EM images. In recent deep learning researches, especially related with convolutional neural networks (CNNs) have shown to be able to handle various problems in computer vision area. However, there is no clear success on ssEM image registration problem using CNNs. ssEMnet is constructed with two parts. The first part is a spatial transformer module which supports differentiable transformation of images in deep neural network. A convolutional autoencoder (CAE) which encodes dense features follows. The CAE is trained by unsupervised fashion and its features give wide receptive field information to align the source and target images. This method is compared with two other major ssEM image registration methods and increases accuracy and robustness, although it has less number of user parameters.
Investigating and Modeling the Reasons of Percutaneous Coronary Intervention Patients to Participate Rarely in Cardiac Rehabilitation : A Data Mining Approach

Introduction: The high prevalence of cardiovascular diseases has caused many health problems in countries. Cardiac Rehabilitation Programs (CRPs) is a complementary therapy for Percutaneous Coronary Intervention (PCI) patients. However, PCI patients hardly attend CRPs. This study aims to decipher the reasons why PCI patients rarely participate in CRPs after PCI. Methods: A cross-sectional study was used. The parameters affecting the attendance of the patients at CRPs were identified by using the previous studies and opinions of experts. A questionnaire was designed based on the identified parameters and distributed among PCI patients who were referred to Tehran Heart Center Hospital. According to data mining approach, 184 samples were collected, cleaned by replacing the corresponding mean value, and classified with three algorithms (Decision Trees, k-Nearest Neighbor (kNN), and Naïve Bayes) by using SPSS 19 and Weka 3.6. Results: The obtained results by decision trees were superior with the average accuracy of 82%, while kNN and Naïve Bayes obtained 81.2% and 78%, respectively. Results of J48 classification algorithm and regression showed that lack of physician’s advice was the most significant reason for non-participation of PCI patients in CRPs (P< .001). Other factors were family and friends’ encouragement, paying expenses by insurance, awareness of the benefits of the CRPs, and comorbidity, respectively. Conclusion: Results of the best model can help medical centers to increase the knowledge about the factors that affect participation of PCI patients in CRPs. Therefore, related centers can provide better services for patients.
1 Path analysis of causal factors influencing marine 2 traffic accident via structural equation numerical 3 modeling 4

Many causal factors to marine traffic accidents (MTA) influence each other and have 10 associated effects. It is necessary to quantify the correlation path mode of these factors to improve 11 accident prevention measures and their effects. In the application of human factors to the accident 12 mechanisms, the complex structural chains on causes to MTA systems were analyzed combining 13 the Human Failure Analysis and Classification System (HFACS) with theoretical Structural 14 Equation Modeling (SEM). First, the accident causation model was established as a human error 15 analysis classification in sight of MTA, and the constituent elements of the causes of accident was 16 conducted. Second, a hypothetical model of Human factors classification was proposed applying 17 the practice of the structural model. Third, with the data resource from ship accident cases, this 18 hypothetical model was discussed and simulated, and as a result the relationship path dependency 19 mode between the latent independent variable of the accident was quantitatively analyzed based 20 on the observed dependent variable of human behaviors. Application examples show that 21 relationships in HFACS are verified and in line with the path developing mode, and resource 22 management factors have a pronounced influence and a strong relevance to the causal chain of the 23 accidents. Appropriate algorithms for the theoretical model can be used to numerically understand 24 the safety performance of marine traffic systems under different parameters through mathematical 25 analysis. Hierarchical assumptions in the HFACS model are quantitatively verified. 26
Complementary and Alternative Medicine: Evaluation of the Physicochemical and Thermal Properties of the Biofield Energy Treated Metronidazole

Metronidazole is an antibiotic and is useful for antibacterial and antiprotozoal medication. In this research work, the impact of the Trivedi Effect® (Consciousness Energy Healing Treatment) on the physicochemical properties of metronidazole was evaluated using the modern analytical technique. Metronidazole sample was divided into two parts, one part of metronidazole was considered as a control sample (no Biofield Energy Treatment was provided); however, the other part of metronidazole, was exposed to the Consciousness Energy Healing Treatment remotely by a well-known Biofield Energy Healer, Alice Branton and termed as a treated sample. The peak intensities, as well as crystallite sizes of the treated metronidazole were significantly altered ranging from -97.25% to 463% and -83.18% to 123.79%, respectively; however, the average crystallite size was significantly decreased by 14.91% compared with the control sample. The particle size values in the treated metronidazole were significantly decreased by 14.69%(d10), 10.82%(d50), 19.14%(d90), and 16.88% {D (4,3)}; thus, the specific surface area was significantly increased by 24.7% compared to the control sample. The latent heat of fusion and latent heat of decomposition were decreased by 2.1% and 9.41%, respectively in the treated sample compared with the control sample. The total weight loss was increased by 2.56%; however, the residue amount was significantly decreased by 83.86% in the treated sample compared with the control sample. The maximum thermal degradation temperature was decreased by 3.53% in the treated sample compared with the control sample. Thus, the Consciousness Energy Healing Treatment might have generated a new polymorphic form of metronidazole which may offer better solubility, dissolution, and good bioavailability compared with the control sample. The Consciousness Energy Treated metronidazole would be very useful to design more efficacious pharmaceutical formulations for the better therapeutic response against bacterial and protozoal infection in the vagina, stomach, liver, skin, joints, brain, and respiratory tract, aspiration pneumonia, rosacea, fungating wounds, intra-abdominal infections, lung abscess, periodontitis, amoebiasis, oral infections, etc.
Analysis of direct and indirect methods for somatic cell counts in the milk of healthy goats

Madureira K.M. , Gomes V. , Castro R.S. , Kitamura S.S. & Araújo W.P. 2010. [Analysis of direct and indirect methods for somatic cell counts in the milk of healthy goats. ] Análise das metodologias diretas e indiretas para a contagem de células somáticas no leite de cabras hígidas. Pesquisa Veterinária Brasileira 30(4):311-316. Departamento de Clínica Médica, Faculdade de Medicina Veterinária e Zootecnia, Universidade de São Paulo, Av. Prof. Orlando Marques de Paiva 87, Bloco 12-14, Sala 47, São Paulo, SP 05508-000, Brasil. E-mail: karinamedici@yahoo.com. br The particular apocrine secretion of goat milk different from the merocrine one observed in cows, may lead to errors in interpreting cellularity evaluations in the milk of this species. Thus, the objective of the present trial was to determine Somatic Cell Counts by means of one indirect methods, the California Mastitis Test (CMT), and direct methods, flow cytometry and direct microscopic count using methyl green-pyronine-Y stain, beyond comparing the methods of cellular counting. A total of 102 samples from 51 Saanen, Brown Alpine and Toggenburg female goats, bred in the state of São Paulo, were analyzed. Goats were separated in groups according to the phase of lactation and to physical examination of the mammary gland, and milk examination. Samples were divided into two aliquots, and were collected after California Mastitis Test evaluation. One aliquot was used in automatic cell counts, and the other, in direct microscopic count using methyl green-pyronine-Y stain. CMT results were as follows: 74.5% of the samples were negative, 8.8% yielded traces, 8.8% were weak positive (1), 6.8% were distinct positive (2) and 0.9% were strong positive (3). Medians of somatic cell counts in goat milk as evaluated by means automatic cell counter and direct microscopy, and grouped according to the different CMT scores, were as follows: 181,000, 578,000, 628,000, 1,421,500, and 5,542,000 cells/mL of milk and 74,991, 271,396, 71,420, 640,995, and 5,049,394 cells/mL of milk in scores negative, traces, 1, 2 and 3, respectively. Medians obtained in automatic cell counts and direct microscopic counts, grouped according to the phase of lactation were 159,500; 508,000; and 277,500 cells/mL of milk and 62,493; 89,275; and 146,411 cells/ml of milk, respectively. The correlation between the automatic and microscopic methods for somatic cell counts was 88%. Based on the results obtained, it could be concluded that there were differences between the automatic and microscopic methods for somatic cell counts, being this most adequate for the determination of the celularidade in the cellularity of goat milk.
Alternative land tenure confl ict management mechanisms: Analytical tools

and tenure management is a complex and sensitive issue, especially in the context of Sub-Saharan Africa where national legislations coexist de facto with deep-rooted customs. This reality is mostly apparent in confl icts between the different users of natural resources. African countries have devolved the powers of land confl ict settlement exclusively to the judicial authority. Therefore, whenever land confl ict involves individuals or communities, the judge is left to decide according to the law, i.e. he or she simply lets the law take its course.
Topics and Cognitive Reasons in Disposition to Change among Grassroot Football Agents after participating in the Psytool Program

This study analyses the intentions to change of the Change Agents (AoC) recruited by the different partners of the European project Erasmus + Psytool. The project has theoretical frames on positive training, psychological well-being and the promotion of enjoyment and fair play. It consists of ten lessons that extend over six weeks, whose topics range from doping to preventing the acceptance of cheating and deception. The intentions to change is framed within the Transtheoretical Model of internal change with different phases of change, from contemplation, preparation, to behavioural change and its maintenance. For this, 63 change agents were analysed (Mage = 32.39, SD = 9.02), with an average experience of 9.02 years (SD = 7.68) through an adaptation of the Disposition of Change Questionnaire (DCQ), administered once the psychoeducational program was finished. The data were analysed descriptively and through Content Analysis. The results show a high value of the DCQ factors: Disposition to change, Reasons for Change and Change Behaviours. Qualitatively, the AoC showed cognitive changes (n = 83), mainly in the face of Discrimination, Violence, Fair Play and Personal Growth, and metacognitive changes (n = 12), while four Agents of Change declared they did not need to change. Metacognitively, we observed some reflections such as the increase of attention or the prevention of behaviors, evidencing the awareness of this type of problems and the analysis of information about them, assigning the mental resources to solve them. Finally, the changes were divided into those aimed at the promotion of prosocial behaviours and those aimed at the prevention of antisocial behaviour.
Isolation of Cellulolytic Lactic-Acid Bacteria from Mentok (Anas moschata) Gastro-Intestinal Tract

Mentok, a local Indonesian name’s of muscovy duck (Anas moschata), has been known as a duck with the capability to consume poor quality feed, high with non-starch carbohydrate (NSP) content. This capacity occurs because of the presence of microbial fermentation activity in the gastro intestinal tract (GIT) of mentok. However, the information about the identification and characterization of the cellulolytic microbes involved is limited. This study was expected to provide scientific contributions about gastrointestinal microbes, especially Lactic Acid Bacteria (LAB), with cellulolytic activities. The experiment was conducted to select LAB with cellulolytic activity from the GIT of mentok. Twenty six of selected LABs were isolated from the duodenum, cecum, and colon regions after microbiological characterization, i.e., morphology, catalase test, gas production, Gram staining, and motility test. Characterization for cellulolytic activity was analyzed by measuring the clearing zone on Carboxymethylcellulose (CMC) media, cell growth analysis on 1% CMC as a carbon source, and CMCase value. Pediococcus acidilactici MK 20 isolate from colon region was selected LAB with the highest cellulolytic activity with the clearing zone diameter, and the CMCase value of 2.33 mm and 0.0153 U/mL, respectively. Molecular identification using 16S rRNA gene sequences analysis revealed that P. acidilactici MK 20 isolate has 99% similarity with P. acidilactici strain ZW001. It was concluded that P. acidilactici MK 20 isolated from the colon part of the gastrointestinal tract of mentok, the Indonesian muscovy duck (A. moschata) had cellulolytic activity.
Causes and Conditions of Bhutan ’ s Democratic Transition

After more than two and a half centuries of ecclesiocratic rule and one hundred years of absolute monarchy, Bhutan became democracy in 2008. This historic event was preceded by abdication of the Fourth Majesty in 2006. It is often described as one of the most peaceful democratic transitions in modern history without any role for internal crisis or external pressure. Rather than the people demanding democracy from the king, the latter voluntarily sacrificed his absolute power to empower his subjects for future peace and wellbeing. Mieko Nishimizu (2008) wrote, “The world, after all, had never known a monarch who not only spearheaded political reforms to democracy, but also chose to abdicate the throne on his own terms – at the peak of popularity, in the fullest of his time” (p. xi). It was for the first time in world history that a monarch had voluntarily surrendered his powers and eventually abdicated the throne with no other reasons than pursuing political reforms for the sake of the kingdom and the people (Mathou, 2008).
BIOETHANOL PRODUCTION FROM CASSAVA PEELS USING (Candida tropicalis AND Pichia caribbica)

The studies were conducted on the production f ethanol, isolation and identification of two yeast strain from Cola acuminata and Zea mays, using spread plate technique. Physiological, morphological and cultural characteristic of C. tropicalis and P. caribbica were carried out such as sugar assimilation and fermentation test resulting in the discovery of the yeast species. Two isolates belonging to different genera which include Candida tropicalis and Pichia caribbica were used for the fermentation of a particular substrate (cassava peels). The pretreatment of the cassava peels was carried out by chemical hydrolysis followed by the process of distillation of water and ethanol mixture. It was discovered that Pichia caribbica have higher ethanol yield 14.8% in (100g) of substrate of cassava peels than Candida tropicalis which have ethanol yield 10.2% in the same (100g) used for both fermentation. The proximate and elemental analysis of the cassava peel revealed high tendency of ethanol production based on the values obtained. Hence this study indicates that cassava peels can be a good feedstock for sustainable bioethanol production.