Miracle-dz/UniFAR-FTUs huggingface dataset:
Uso de la Cibernética en un Modelo de Gestión de Conocimiento como Partida para la Optimización de los Flujos de Conocimiento en Organizaciones

Este documento La medicion de la gestion de conocimiento se ha enfocado a la medicion de los efectos del conocimiento en las organizaciones a traves de indicadores financieros y bajo el uso de estadisticas. Este articulo presenta un metodo de diagnostico organizacional de Gestion de conocimiento (GC) bajo un enfoque estadistico que muestra y establece como los flujos de conocimiento se presentan en catorce empresas dedicadas a la transformacion de cuero curtido. Para ello se establece como la informacion de dos nodos en una estructura organizacional de GC, al ser contrastados por medio de coeficientes de correlacion muestran la existencia de flujos de conocimiento que hacen que estos posean un nivel de parecido estadistico en su contenido. El problema que surge posterior a esta discusion es el metodo de optimizacion de los flujos de conocimiento para el cual se sugiere un curso de accion que aun no ha sido posible identificar en la literatura acerca del tema.
1 Classifying the Transformation Products ( TPs ) of Emerging Contaminants ( ECs ) for Prioritizing Research into their Impact on the Environment and Human Health

Continuous degradation of an abiotic part of an environment as well as disruption of the homeostatic state of biota can be attributed to the increasing rate of human impact on the environment. An idea about the diversity of pollutants that can potentially appear in the environment can be gained by monitoring the amount of already existing chemicals and the rate of appearance of new ones. If a compound is known and in use it seems obvious that in the end it will be introduced into the environment. Figure 1.1 shows a classification of environmental pollutants. Analysts have concentrated mainly on:
Screaming Channels: When Electromagnetic Side Channels Meet Radio Transceivers

This paper presents a new side channel that affects mixed-signal chips used in widespread wireless communication protocols, such as Bluetooth and WiFi. This increasingly common type of chip includes the radio transceiver along with digital logic on the same integrated circuit. In such systems, the radio transmitter may unintentionally broadcast sensitive information from hardware cryptographic components or software executing on the CPU. The well-known electromagnetic (EM) leakage from digital logic is inadvertently mixed with the radio carrier, which is amplified and then transmitted by the antenna. We call the resulting leak screaming channels. Attacks exploiting such a side channel may succeed over a much longer distance than attacks exploiting usual EM side channels. The root of the problem is that mixed-signal chips include both digital circuits and analog circuits on the same silicon die in close physical proximity. While processing data, the digital circuits on these chips generate noise, which can be picked up by noise-sensitive analog radio components, ultimately leading to leakage of sensitive information. We investigate the physical reasons behind the channel, we measure it on several popular devices from different vendors (including Nordic Semiconductor nRF52832, and Qualcomm Atheros AR9271), and we demonstrate a complete key recovery attack against the nRF52832 chip. In particular, we retrieve the full key from the AES-128 implementation in tinyAES at a distance of 10 m using template attacks. Additionally, we recover the key used by the AES-128 implementation in mbedTLS at a distance of 1 m with a correlation attack. Screaming channel attacks change the threat models of devices with mixed-signal chips, as those devices are now vulnerable from a distance. More specifically, we argue that protections against side channels (such as masking or hiding) need to be used on this class of devices. Finally, chips implementing other widespread protocols (e.g., 4G/LTE, RFID) need to be inspected to determine whether they are vulnerable to screaming channel attacks.
Efficient feature integration with Wikipedia-based semantic feature extraction for Turkish text summarization

This study presents a novel hybrid Turkish text summarization system that combines structural and semantic features. The system uses 5 structural features, 1 of which is newly proposed and 3 are semantic features whose values are extracted from Turkish Wikipedia links. The features are combined using the weights calculated by 2 novel approaches. The first approach makes use of an analytical hierarchical process, which depends on a series of expert judgments based on pairwise comparisons of the features. The second approach makes use of the artificial bee colony algorithm for automatically determining the weights of the features. To confirm the significance of the proposed hybrid system, its performance is evaluated on a new Turkish corpus that contains 110 documents and 3 human-generated extractive summary corpora. The experimental results show that exploiting all of the features by combining them results in a better performance than exploiting each feature individually.
An Optimised Deep Neural Network Approach for Forest Trail Navigation for UAV Operation within the Forest Canopy

Autonomous flight within a forest canopy represents a key challenge for generalised scene understanding on-board a future Unmanned Aerial Vehicle (UAV) platform. Here we present an approach for automatic trail navigation within such an environment that successfully generalises across differing image resolutions - allowing UAV with varying sensor payload capabilities to operate equally in such challenging environmental conditions. Specifically, this work presents an optimised deep neural network architecture, capable of stateof-the-art performance across varying resolution aerial UAV imagery, that improves forest trail detection for UAV guidance even when using significantly low resolution images that are representative of low-cost search and rescue capable UAV platforms.
International Young Scientists Conference in HPC and Simulation , YSC 2017 , 1-3 November 2017 , Kotka , Finland Simulating robot groups with elements of a social structure using

This paper describes the architecture of KVORUM, the agent-based modeling environment developed by the authors to explore certain design decisions and facilitate simulation usage in the field of group robotics, specifically for research of robotic systems with elements of a social structure. KVORUM is a prototype of a simulation system that should adequately abstract away complexities of a physical system while providing convenient interfaces and library modules for modeling groups of mobile land robots and individual agent’s intrinsic structures. It was built from the ground up as a modular, highly extensible system focused on speed of calculations that is to be achieved by using proper simplification of physical and other effects, and by the ability to perform simulations using parallel computing. In KVORUM the developed abstractions and limitations of a parallel architecture are tested without fully adhering to parallel computing requirements. It is shown that the proposed method of simulating such systems is applicable to a wide variety of problems from the field of group robotics with elements of a social structure (and swarm robotics in general). Some features of the architecture and models used in KVORUM allow for it to be extended in next iterations to fully support simulations on parallel computing systems. © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 6th International Young Scientist conference in HPC and Simulation.
A review of evidence based hepatoprotective selected medicinal plants used in Bangladeshi traditional medicine

Liver toxicity is a prime concern for patients as well as physicians, scientists and drug development agencies. However researchers have revealed several mechanisms and also the effecting factors that might be used in diagnosis of liver diseases. The aim of the present study was to evaluate the evidence based hepatoprotective selected medicinal plants used in Bangladeshi traditional medicine. Medication has its own limitations with regard to their effectiveness, side effects and cost, plant derived compounds are an effective alternative for the treatment of liver diseases. Available traditional medicinal survey illustrates that herbal drug containing different phytoconstituents can have hepatoprotective property which may be due to the individual or combined effects of these phytoconstituents. The exact phytochemical compounds responsible for the hepatoprotective property need to be isolated and further investigation. Several pharmaceutical companies and regulatory agencies have lager amount of pre and post clinical trial data which demonstrates the value of medicinal plants and their role in the cure of liver disorders and it was proved clinically for their safety and efficacy.
When Choices Are Not Personal: The Effect of Statistical and Social Cues on Children's Inferences About the Scope of Preferences

Individual choices are commonly taken to manifest personal preferences. The present study investigated whether social and statistical cues influence young children's inferences about the generalizability of preferences. Preschoolers were exposed to either 1 or 2 demonstrators’ selections of objects. The selected objects constituted 18%, 50%, or 100% of all available objects. We found that children took a single demonstrator's choices as indicative only of his or her personal preference. However, when 2 demonstrators made the same selection, then children inferred that it generalized to other agents of the same kind as the original demonstrator's, but not to agents of a different kind. Lastly, only when both demonstrators blatantly violated random selection (i.e., in the 18% condition) did children generalize the preference even to an agent of a different kind. Thus, from a young age, social and statistical cues inform children's naïve sociology.
On the significance of atmospheric CO2 growth rate anomalies in 2002–2003

We examine the facts behind the growth rate of atmospheric CO2 in 2002 and 2003. Observations show consecutive increases of greater than 2 parts per million (ppmv) per year for the first time on the Mauna Loa record (which extends back to 1958). We use a statistical regression to show that increasing anthropogenic emissions and El Niño activity are able to account for variations in the CO2 growth rate at Mauna Loa, aside from the anomalously low growth rates of 1992 and 1993 following the Pinatubo volcanic eruption, and the anomalously high growth rate of 2003. Increased forest fires in the northern hemisphere, consistent with remote‐sensing and carbon monoxide measurements, seem likely to have contributed significantly to the 2003 anomaly. We hypothesise that the hot and dry Eurasian summer of 2003 led to an increase in forest fire emissions from Siberia, and may also have directly suppressed land‐carbon uptake. Insofar as the 2003 Eurasian summer may have been a symptom of anthropogenic climate change, it is possible that the 2003 CO2 growth rate anomaly is the first evidence of a positive climate‐carbon cycle feedback.
Biotic constraints to banana production in Eastern and Central Provinces of Kenya.

Banana is an important crop whose production faces major challenges, especially pests and diseases. A banana pests survey was carried out in Eastern and Central Provinces of Kenya. Results showed Fusarium wilt as the most widespread disease, especially where variety Gros Michel dominated. Sigatoka, cigar end rot and Armillaria corm rot appeared not to significantly reduce yields. A new potentially devastating disease was observed and is under investigation. Weevils and nematode effects were observed, but most farmers were probably not aware of their impacts. Use of uncertified seedlings is a major factor in spreading these pests and pathogens.
Effect of Specific Mechanical Energy on In-Vitro Digestion and Physical Properties of Extruded Rice-Based Snacks

The effect of specific mechanical energy (SME) on in-vitro digestion and physical properties of extruded rice-based snacks was investigated in this study. Whole grains of medium grain brown rice (BR), medium grain sushi rice (SR) and long grain jasmine rice (JR) were extruded to prepare the rice-based snacks using a single screw extruder without additional thermal energy input. SME during extrusion was varied by changing feed moisture content. The feed moisture content (wet basis) was 9.99% - 12.55% for BR, 11.37% - 13.92% for SR and 12.42% - 14.39% for JR, respectively. Six extruded samples of each type of rice with different SME were collected and analyzed. With the decreasing SME, all three types of rice-based snacks showed significant decreases (p < 0.05) on rapidly digestible starch (RDS) and significant increases (p < 0.05) on slowly digestible starch (SDS). Physical properties, including expansion ratio (ER), bulk density (BD) and fracture energy (FE) were found to be highly correlated to SME. The results indicated that SME has significant effects on in-vitro digestibility and potentially glycemic index of extruded rice snacks. SME also can be an indicative parameter for the physical properties of rice-based extruded snacks.
Development of a Long Endurance Mini-UAV: ETERNITY

This study presents the effort given for the first prototype of a Long Endurance Mini UAV concept called Eternity. A multi-disciplinary conceptual aircraft design program called CDSGN is developed and used for the design of the Eternity. Unlike the traditional design methods that uses statistical data from the previous well-flown aircrafts, CDSGN analyses numerous aircraft candidates and simulates each candidate for the given mission definition and outputs the corresponding performance. The unique property of the presented design methodology comes from a computationally fast and physically accurate modelling of the aerodynamic characteristics of each candidate by using a modified version of a vortex lattice program called AVL from Mark Drela. Two types of configurations have been analysed for the Eternity design, conventional and flying-wing. A wide envelope of variable design parameters used for both configurations such as wing surface area, cruise speed, battery capacity, different airfoils, etc… Integration of solar cells, and the management of solar energy is also considered for every candidate. Only the wing span size has been limited to one meter. Additionally, the on-board avionics and payload weights and sizes are fixed for every candidate as they are independent of the design. Analyses by CDSGN concluded the dominance of the conventional configuration for the given long endurance mission performance both on solar and non-solar conditions. Optimum wing surface area and the on-board battery energy found interactively by a post-filtering program developed in-house. A custom airfoil family, transitioning along the span, have been designed specifically for the corresponding local Reynolds number for specific spanwise locations. A wind-tunnel campaign is performed with a full-scale model and first flight tests have been performed in order to show the feasibility of long endurance flights.
A force measurement instrument for optical tweezers based on the detection of light momentum changes

In this work, we present and discuss several developments implemented in an instrument that uses the detection of the light momentum change for measuring forces in an optical trap. A system based on this principle provides a direct determination of this magnitude regardless of the positional response of the sample under the effect of an external force, and it is therefore to be preferred when in situ calibrations of the trap stiffness are not attainable or are difficult to achieve. The possibility to obtain this information without relying upon a harmonic model of the force is more general and can be used in a wider range of situations. Forces can be measured on non-spherical samples or non-Gaussian beams, on complex and changing environments, such as the interior of cells, or on samples with unknown properties (size, viscosity, etc.). However, the practical implementation of the method entails some difficulties due to the strict conditions in the design and operation of an instrument based on this method. We have focused on some particularly conflicting points. We developed a process and a mechanism to determine and systematically set the correct axial position of the device. We further analyzed and corrected the non-uniform transmittance of the optical system and we finally compensated for the variations in the sensor responsivity with temperature. With all these improvements, we obtained an accuracy of ~5% in force measurements for samples of different kinds.
World War II and African American Socioeconomic Progress

This paper argues that the unprecedented socioeconomic rise of African Americans at mid-century is causally related to the labor shortages induced by WWII. Results from combining novel military and Census data in a di erence-in-differences setting show that counties with an average casualty rate among semi-skilled whites experienced a 13 to 16% increase in the share of blacks in semi-skilled jobs. The casualty rate also has a significant reduced form effect on cross-state migration, wages, home ownership, house value, and education for blacks. Using survey data from 1961, IV regression results indicate that the economic upgrade, which is instrumented with the semi-skilled white casualty rate, is also associated with an increase in social status. Both black and white individuals living in treated counties are more likely to have an interracial friendship, live in mixed-race neighborhoods, and to have reduced preferences for segregation
Unsupervised Feature Based Facial Family Similarity Recognition

This paper introduces a framework for clustering similar family members for the first time. Three features include “The Whole Face”, “The Facial Features Perimeter”, and “The Ratio between Facial Features” have been used. A color based method is utilized for face localization, an anthropometric based method is used for features perimeter extraction and finally a geometric feature extraction method is applied to locate the exact features point. After extraction of features, Eigen-features of them are obtained. Then each input feature is transformed to the Eigen space and four similar feature classes based on Euclidean distance are selected. These four classes provide the best description for the input feature. Efficiency of the proposed method is compared with the statistics collected from 29 individuals. The results indicate that the analysis power of computers is close to human in many cases. Keywords— Family Similarity Recognition, Facial Feature Extraction, Face Detection, PCA, Image Database
Genetic characterization of commercial goat populations in South Africa

i Samevatting ii Table of contents iii List of Tables v List of Figures vii Abbreviations viii Chapter 1: Introduction 1 Chapter 2: Literature review 2.1 Conservation 5 2.2 Goat statistics 9 2.3 Goat breeds of the world and Southern Africa 11 2.3.1 The Angora goat 13 2.3.2 The Boer goat 15 2.3. 3 The Kalahari Red 16 2.3. 4 The Savanna goat 17 2.3. 5 Research on South African meat goats 18 2.4 Assessment of genetic diversity in goats 21 Chapter 3: Materials and methods 3.1 Genetic variation 24 3.2 Phenotypic traits 30
Reduced tail regeneration in the Common Lizard, Lacerta vivipara, parasitized by blood parasites

Summary 1. Many lizards will lose their tail through autotomy as an antipredator device even though there must be significant costs during tail regeneration. 2. Parasites are energetically costly to the host, and may reduce the rate of cell regeneration. The relation between the presence of haemogregarines (phylum Sporozoa) and the rate of tail regeneration in the Common Lizard Lacerta vivipara (Jacquin) was examined. 3. Experimentally induced autotomy in parasitized lizards resulted in a significantly reduced rate of tail regeneration compared with non-parasitized lizards. On the other hand, tail loss was not associated with an abnormal increase of parasite load, suggesting that the physiological stress (induced by tail loss) did not cause a decrease in parasite defence.
The Effects of Body Weight , Food Intake , Activity , and Anxiety in Female Rats

Zolpidem is a nonbenzodiazepine sedative-hypnotic drug. It is placed in the imidazopyridine class of drugs, which are gamma aminobutyric acid (GABA)-A receptor agonists due to their effect on the alpha-1 GABA-A receptor subunit. The present study focused on differences observed during administration of zolpidem to female rats as compared to a previous study performed on male rats. Female rats receiving zolpidem did not differ significantly from those rats not receiving zolpidem; whereas, male animals were shown to be more affected by zolpidem causing increased food intake, more positive feed efficiency, higher relative food intake, lowered activity levels, increased anxiety, and increased visceral adiposity. Female rats exhibited little change during the withdrawal period compared to the experimental period; while, during the withdrawal period, male rats previously receiving zolpidem quickly returned to levels observed during the habituation period. This suggests that the effects of zolpidem are longer lasting in the female body than the male body. The differences between male and female rats observed in these experiments may be useful in making dosage recommendations for human patients being administered zolpidem. Introduction: Zolpidem, most commonly known as Ambien, has, in recent years, been one of the most commonly prescribed medications in America (University of Maryland Medical Center, 2012). Zolpidem was approved by the Food and Drug Administration (FDA) in 1992 and is marketed as a short-term solution to combat insomnia to be taken on an as-needed basis to initiate sleep (Food and Drug Administration, 2008). It is a nonbenzodiazepine and a sedative-hypnotic drug
Shining in the Center: Central Gaze Cascade Effect on Product Choice

Consumers' tendency to choose the option in the center of an array and the process underlying this effect is explored. Findings from two eye-tracking studies suggest that brands in the horizontal center receive more visual attention. They are more likely to be chosen. Investigation of the attention process revealed an initial central fixation bias, a tendency to look first at the central option, and a central gaze cascade effect, progressively increasing attention focused on the central option right prior to decision. Only the central gaze cascade effect was related to choice. An offline study with tangible products demonstrated that the centrally located item within a product category is chosen more often, even when it is not placed in the center of the visual field. Despite widespread use, memory-based attention measures were not correlated with eye-tracking measures. They did not capture visual attention and were not related to choice.