Miracle-dz/UniFAR-FTUs huggingface dataset:
Bat species richness in the region of the Central Valleys of Oaxaca, Mexico

We present a revised checklist of bat species occurring in the semi–urbanized region of the Central Valleys of Oaxaca, Mexico. The checklist is based on surveys using mist nets, recordings of echolocation calls, data from literature, and museum databases. Results show that the Central Valleys of Oaxaca have a species richness of 33 bat species belonging to 22 genera and five families. Species like the Mustached bat Pteronotus parnellii, the Western Red bat Lasiurus blossevillii and the Free–tailed bat Promops centralis were recorded after 32, 30 and 19 years respectively according to the records of the literature. We also recorded four species classified in some risk category according to either the Mexican government’s red list (NOM–059) or the IUCN red list. The recordings of the echolocation calls are the first from the region of Central Valleys of Oaxaca. Bat diversity in the Central Valleys of Oaxaca was underestimated and emphasizes the need for further research
Research on Urban Short-term Traffic Flow Forecasting Model

Short-term traffic flow forecasting is one of the key technologies of ITS, and it is also the basis of traffic control and road navigation. According to the characteristics of short-term traffic flow, combining with the actual traffic flow data of an intersection in Hefei City, a prediction model based on BP neural network is constructed. The experimental results show that the model reflects the change rule and trend of short-term traffic flow, and the prediction accuracy is high.
Lithic Production Technologies at the Louisville Swamp Site

The landscape of the Minnesota River Valley of central Minnesota holds rich archaeological and historical evidence of human occupation extending over the last 10,000 years. Two seasons of archaeological fieldwork by Hamline University and the US Fish and Wildlife Service have begun exploring the Louisville Swamp Unit of the Minnesota River Valley National Wildlife Refuge in Shakopee. One of the most important discoveries of this fieldwork was a Woodland tradition lithic (or stone) workshop (ca. 500-1500 CE). Excavations at this site have produced thousands of artifacts demonstrating the workshop was primarily utilized for making stone tools of Prairie du Chien (PDC) chert. PDC chert is a stone material considered of only moderate quality for flint knapping but which can be easily procured in large quantities from the outcroppings in the surrounding landscape. This workspace is where flintknappers tested and heat treated lithic raw materials so they could be worked into stone tools for everyday use. The artifacts recovered include lithic debris (flakes, tested raw materials, broken chert, etc.), fire-cracked rock, burnt limestone, hammerstones, an anvil, and several pieces of grit tempered pottery. In recording flake attributes such as platform angle, size grade, weight, etc. of this lithic assemblage, we can better grasp aspects of how the ancient flintknappers were able to effectively exploit this abundant raw material. The comparison of the debitage analysis results at the Louisville Swamp Site to other archaeological pre-contact lithic sites in Minnesota helps us understand the production stages and techniques of stone tool manufacturing, especially in relation to the thermal alteration of PDC chert, these results also lend themselves to the investigation of the production stages in which PDC chert is transported across Native Southern Minnesota landscapes.
Holt-Winters Forecasting for Brazilian Natural Gas Production

Nowadays, the market for natural gas production and its use as a source of energy supply has been growing substantially in Brazil. However, the use of tools that assist the industry in the management of production can be essential for the strategic decision-making process. In this intuit, this work aims to evaluate the formulation of Holt Winter's additive and multiplicative time series to forecast Brazilian natural gas production. A comparison between the models and their forecast play a vital role for policymakers in the strategic plan, and the models estimated production values ​​for the year 2018 based on the information contained in the interval between 2010 and 2017. Therefore, It was verified that the multiplicative method had a good performance so that we can conclude this formulation is ideal for such an application since all the predicted results by this model showed greater accuracy within the 95% confidence interval.
Dicroidium (foliage) and affiliated wood Part 3 of a reassessment of Gondwana Triassic plant genera and a reclassification of some previously attributed

Anderson, H.M. , Barbacka, M. , Bamford, M.K. , Holmes, W.B. K. & Anderson, J.M. , 10 July 2019. Dicroidium (foliage) and affiliated wood; Part 3 of a reassessment of Gondwana Triassic plant genera and a reclassification of some previously attributed. Alcheringa 44, 64–92. ISSN 0311-5518 Dicroidium belonging to Umkomasiaceae (Corystospermaceae) in the polyphyletic pteridosperms (seed-ferns) is reassessed comprehensively worldwide and emended. All records are analysed and some attributed to the genus previously are reclassified. Dicroidium leaves are clearly affiliated with Umkomasia ‘megasporophylls’ and Pteruchus ‘microsporophylls’. The attachments of Dicroidium leaves to stems and associated wood genera are reviewed. Dicroidium is shown to be restricted to the Triassic of Gondwana, where it is by far the most prominent and diverse genus with 23 accepted species. It is well represented in collections from South America, Antarctica, India, Australia, New Zealand and southern Africa from where the Molteno Formation is the most comprehensively sampled stratigraphic unit, yielding numerous species from 75 assemblages. The problems of defining the limits of Dicroidium and its species are addressed. The records of leaf fragments from the Indian Nidpur Flora, Early Triassic, are questionably referable to Dicroidium, whereas the multiple forking leaves from the Cisuralian of India await description as a new peltasperm genus. The forked leaves from the (? )Lopingian of Jordan, previously classified as Dicroidium, are reassessed and placed in the new genus Jordaniopteris. Heidi M. Anderson [hmsholmes@googlemail.com], Evolutionary Studies Institute, University of the Witwatersrand, Johannesburg 20150, South Africa; Maria Barbacka [maria.barbacka@gmail.com], W. Szafer Institute of Botany, Polish Academy of Sciences, Lubicz 46, Kraków 31-512, Poland, Botanical Department, Hungarian Natural History Museumartmem H-1431, Budapest, Pf. 137, Hungary; Marion K. Bamford [marion.bamford@wits.ac. za], Evolutionary Studies Institute, University of the Witwatersrand, Johannesburg 20150, South Africa; W. B. Keith Holmes [wbkholmes@hotmail.com], 46 Kurrajong Street, Dorrigo, NSW 2453, Australia, University of New England, Armidale, NSW 2351, Australia; John M. Anderson [jmanderson.gondwana@googlemail.com], Evolutionary Studies Institute, University of the Witwatersrand, Johannesburg 20150, South Africa.
Study of the environmental impact of wastewater discharges on the self-purification capacity in portoviejo river, Ecuador

Luis Santiago Quiroz Fernández1*, Elena Izquierdo Kulich2 y Carlos Menéndez Gutiérrez3 ____________________________________________________________ 1Facultad de Ciencias Matemáticas, Físicas y Químicas. Universidad Técnica de Manabí. Av. Urbina y Che Guevara, Portoviejo, Manabí, Ecuador. 2 Facultad de Química. Universidad de La Habana. San Lázaro y L. Vedado. Habana, Cuba. 3 Facultad de Ingeniería Química. Instituto Superior Politécnico José Antonio Echeverría (CUJAE). Av. 114 #11901 e/ Rotonda y Ciclovía, Marianao, Habana, Cuba.
Distributed Optimization Algorithms in Large-Scale Directed Networks

In the interconnected world of today, distributed computation and optimization over large-scale multi-agents networks are ubiquitous. The applications can be found in various fields ranging from machine learning, signal processing, to computational finance. The increasing interest in distributed optimization is further motivated by the emergence of big data application. In one aspect, large datasets push centralized computation to the limit and the need for distributed algorithms arises quite naturally. On a similar note, transmitting the data collected in a distributed manner to a center is either too costly or violates privacy. In this thesis, we aim to solve the distributed optimization problem over multi-agent networks, where each agent has local private information and objective functions. The goal is to have agents collaborate with each other to optimize the sum of these local objective functions. Existing algorithms mostly deal with the corresponding problems under the assumption that the underlying multi-agent network is strongly-connected and undirected, i.e., if agent i sends information to agent j, then agent j also sends information to agent i. The contribution of this work lies in the relaxation of such assumptions on the network topology. In particular, we assume the communication between the agents is described by a directed graph. We mainly propose four algorithms, Directed-Distributed Subgradient Descent (D-DSD),
Chemical Retention Function of Thaulla Area of Small Reservoir; A Case Study in Ulankulama Tank, Anuradhapura, Sri Lanka

Thaulla is a term used to identify the upper peripheral region of small reservoirs /tanks located in Sri Lanka. This study was carried out to investigate the chemical retention function of the thaulla area of Ulankulama tank in North Central province of Sri Lanka. 13 soil and 15 tank water quality parameters were tested for this purpose. Soil samples were collected from 19 points in the thaulla area. Water samples were collected three times from the tank during the dry period. All soil and water samples were tested using standard methods. The results indicated that the thaulla area of the Ulankulama tank acts approximately as a wetland. It is evident by high accumulation of Fe (1819.65 ppm) and Al (1586.75 ppm) with a considerable retention of P (74.80 ppm), Ca (163.79 ppm) and Mg (203.67 ppm) in tested soil samples. This function was further corroborated with the observations of higher concentrations of P, Fe, and Al in the samples, which were higher than reference values of the Reddish Brown Earth soil found in the area. This phenomenon is supported by the evidence of low concentrations of Fe (1.40 ppm), Al (0.009 ppm) and P (0.095 ppm) in tank water during dry spell. N was found to be the limited nutrient in the thaulla area (0.073%) and it was identical to the wetlands. This study showed evidence for the chemical retention function of thaulla and suggests the restoring of the thaulla area of Dry Zone tanks in Sri Lanka.
Data Virtualization with SAP HANA Smart Data Access

Digital transformation has been corner stone of business innovation in the last decade, and these innovations have dramatically changed the definition and boundaries of enterprise business applications. Introduction of new products/ services, version management of existing products/ services, management of customer/partner connections, management of multi-channel service delivery (web, social media, web etc.), merger/acquisitions of new businesses and adoption of new innovations/technologies will drive data growth in business applications. These datasets exist in different sharing nothing business applications at different locations and in various forms. So, to make sense of this information and derive insight, it is essential to break the data silos, streamline data retrieval and simplify information access across the entire organization. The information access framework must support just-in-time processing capabilities to bring data from multiple sources, be fast and powerful enough to transform and process huge amounts of data quickly, and be agile enough to accommodate new data sources per user needs. This paper discusses the SAP HANA Smart Data Access data-virtualization technology to enable unified access to heterogenous data across the organization and analysis of huge volume of data in real-time using SAP HANA in-memory platform.
Land Surface Model Representation of the Mutual Information 
Context between Multi-Layer Soil Moisture and 
Evapotranspiration

Abstract. Soil moisture (θ) impacts the climate system by regulating incoming energy into outgoing evapotranspiration (ET) and sensible heat flux components. Therefore, investigating the coupling strength between θ and ET is important for the study of land surface/atmosphere interactions. Here, we use in-situ AmeriFlux observations to evaluate θ/ET coupling strength estimates acquired from multiple land surface models (LSMs). For maximum robustness, coupling strength is represented using the sampled normalized mutual information (NMI) between θ estimates acquired at various vertical depths and surface flux represented by fraction of potential evapotranspiration (fPET, the ratio of ET to potential ET). Results indicate that LSMs are generally in agreement with AmeriFlux measurements in that surface soil moisture (θS) contains slightly more NMI with fPET than vertically integrated soil moisture (θV). Overall, LSMs adequately capture variations in NMI between fPET and θ estimates acquired at various vertical depths. However, one model – the Global Land Evaporation Amsterdam Model (GLEAM) – significantly overestimates the NMI between θ and ET and the relative contribution of θS to total ET. This bias appears attributable to differences in GLEAM's ET estimation scheme relative to the other two LSMs considered here (i.e., the Noah with Multi–parameterization option and the Catchment Land Surface Model). These results provide insight into improved LSM model structure and parameter optimization for land surface-atmosphere coupling analyses.
Detection and Prevention of Sinkhole attack in Manet

: Mobile ad hoc networks are popular networks used broadly due to their dynamic nature. These types of networks are suffered from the sinkhole attack as there is no centralized security management. We will discuss the problems in on-going communication by sinkhole attack in this paper. Sinkhole attack isin MANET is important security problem.A Sinkhole attack is one type of attack in network layer. The data is attracted by sinkhole from the neighboring nodes and then it fake the routing information which make the node which make the local area network know its way on specific node. So, sinkhole tries to attract all the network traffic to itself. Therefore, it alerts the data packet or drops the packet mutely.In this paper we determine one of the most severe routing attacks in adhoc network namely the sinkhole attack.
Validation of the SOPLAY direct observation tool with an objective accelerometry-based physical activity monitor

vii CHAPTER I – INTRODUCTION . 1 Purpose of the Study . 3 Specific Research Questions . 4 CHAPTER II – EXTENDED LITERATURE REVIEW . 6 Overweight Status and Children’s level of Physical Activity . 6 The importance of School-based Physical Activity Interventions . 8 Measuring Physical Activity . 12 Subjective measures: . 13 Secondary measures: Accelerometers . 17 Criterion standards: Direct Observation Methods . 24 Future Research: Issues and concerns . 32 CHAPTER III – METHODS AND PROCEDURES . 35 Design of the Study . 35 Participants . 35 Physical Activity Measures . 36 SOPLAY . 36
Assessment Of Effectiveness Of 'Anti-Tobacco Compaign’ In Sangli District Of Maharastra, India - An Epidemiological Survey

Background India has highest rates of oral cancer in the world and rates are still increasing. Oral cancer accounts for one-third of the total cancer cases and 90% of the patients are tobacco chewers. The Govt. of India initiated and enacted the national tobacco-control legislation namely, “The Cigarettes and other Tobacco Products (Prohibition of Advertisement and Regulation of Trade and Commerce, Production, Supply and Distribution) Act 2003”; on 18 May, 2003. Still there is persistence of more number of people with tobacco habits. So, an epidemiological survey for Sangli district was conducted in Bharati Vidyapeeth Deemed University Dental College and Hospital to know the effectiveness of ‘Anti tobacco campaign’
Conceptual Framework for Stock Market Classification Model Using Sentiment Analysis on Twitter Based on Hybrid Naïve Bayes Classifiers

Sentiment analysis has gained a lot of importance in last decade especially on the availability of data from Twitter that has created more interest for research in this field. Nevertheless, stock market classification models still suffer less accuracy and this has affected negatively the stock market indicators. In this paper, a new framework related to sentiment analysis from Twitter posts is proposed. The proposed framework represents an improved design of classification model that works to improve the classification accuracy to support decision makers in the domain of stock market exchange. This model starts with data collection part and in second phase filtration is done on data to get only the relevant data. The most important phase is the labelling part in which polarity of data is determined and negative, positive or neutral values are assigned to statements of people. The fourth part is the classification phase in which suitable patterns of stock market will be identified by hybridizing NBCs. The last phase is performance and evaluation. This study proposes to a Hybrid Naive Bayes Classifiers (HNBCs) as a machine learning method for stock market classification, hence represents a useful study for investors, companies and researchers and will help them to formulate their policies according to sentiments of people.
Development of Biological Sulfur Fertilizer for the Improvement of Desert Soil Fertility in Kuwait

Purpose: The alkaline nature of the Kuwait desert soil results in the disturbed of plant germination, absorption of water and fertilizers during growth, leading to an environment, where plants can hardly be grown. The local soil is alkaline with pH normally above 9.00. This is too high for many plant species. With the utilization of newly developed elemental sulfur and sulfur-oxidizing bacteria biofertilizer, it is hypothesized that soil is acidified enough to the extent of improving soil property and thus increasing nutrient availability and crop productivity. Methods: In house sulfur-oxidizing microbes were screened, enriched and isolated in Kuwait. The most promising strains were optimized through growth and nutrient modification. The production process for biofertilizer pellets utilizing byproduct sulfur and an inoculum of sulfur-oxidizing microbes were developed. The effectiveness of the pellets as soil enhancers was tested with Alfalfa plant in greenhouse and field conditions. Result: In general, increasing application rates of sulfur, lead significantly to pH decrease and Alfalfa dry matter production increase under greenhouse conditions. The highest application rate of 20 g S kg-1 has caused two unit reductions in the pH of the growth medium within 45 days. On the other hand, the field evaluation for the biofertilizer produced has slightly reduced soil pH compared to the greenhouse pH reduction. Conclusion: The use of the biological sulfur fertilizer has produced positive responses in terms of changing pH of the growth medium in greenhouse and field test as well as the growth responses by the test crop used in this investigation.
A Serious Game for Teaching First Order Logic to Secondary School Students

This dissertation investigates the teaching of frst order logic, which is normally taughtfat university level, to A-level students. A serious game, which is a game designed for aspecifc purpose, is developed to teach this topic. Serious games for teaching frst order logic exist, but none are aimed at school-aged students.This project describes the development of the serious game, and evaluates its effectiveness with a group of A-Level students. The game was found to be successful at teaching frst order logic to adults with a range of mathematical backgrounds and to A-level students.This demonstrates the value of serious games and gamifcation in teaching abstract mathematical topics to this user group.
Balanced Growth: the Scope for National Policies in a Global Economy

This paper assesses the facts of the matter, searches for their implications for national economies, and considers the scope and need for local and national policies that provide a basis for balanced growth. The first section will summarize the evidence and implications leading to the conclusion that there is still great scope and need for national policies. The second section will consider some specific domestic policies that can help to support balanced growth.
Quantifying Growth Responses of Black Spruce and Jack Pine to Thinning within the Context of Density Management Decision-Support Systems

Models for quantifying the growth responses of black spruce (Picea mariana (Mill) BSP. ) and jack pine (Pinus banksiana Lamb.) to precommercial thinning (PCT) treatments were developed. They accounted for the increased rate of stand development arising from PCT treatments through temporal adjustments to the species and site specific mean dominant height-age functions. Analytically, they utilized a relative height growth modifier consistent with observed density-dependent height repression effects. A phenotypic juvenile age-mature age correlation function was used to account for the intrinsic temporal decline in the magnitude of the PCT effect throughout the rotation. The resultant stand development patterns were in accord with theoretical and empirical expectations when the response models were integrated into algorithmic variants of structural stand density management models.
Main Cause of Children's Deaths in Indigenous Wayuu Community from Department of La Guajira: A Research Developed through Data Mining Use

The main purpose of this research is to discover what causes death in children of the Wayuu community, and deeply analyze those results in order to take corrective measures to properly control infant mortality. We consider important to determine the reasons that are producing early death in this specific type of population, since they are the most vulnerable to high risk environmental conditions. In this way, the government, through competent authorities, may develop prevention policies and the right measures to avoid an increase of this tragic fact. The methodology used to develop this investigation is data mining, which consists in gaining and examining large amounts of data to produce new and valuable information. Through this technique it has been possible to determine that the child population is dying mostly from malnutrition. In short, this technique has been very useful to develop this study; it has allowed us to transform large amounts of information into a conclusive and important statement, which has made it easier to take appropriate steps to resolve a particular situation. Keywords—Malnutrition, datamining, analytical, descriptive, population, wayuu, indigenous.
Hertz‐Mindlin Theory of Contacting Grains and the Effective‐Medium Approximation for the Permeability of Deforming Porous Media

Estimating flow and transport properties of porous media that undergo deformation as a result of applying an external pressure or stress is important to a wide variety of processes, ranging from shale formations into which a fracking liquid is injected to CO2 sequestration in geological formations. We propose a novel model for estimating the effective permeability of such porous media. Given the pore‐size distribution (PSD) of a porous medium before deformation, as well as the Young's modulus of its grains, the model uses Hertz‐Mindlin theory of contact between grains to compute the new PSD that results from applying an external pressure P to the medium and utilizes the updated PSD in the effective‐medium approximation to estimate the effective permeability at P. Comparison between the predictions and experimental data for several types of sandstones indicates excellent agreement between the two.