Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Surface Water Quality and Watershed Characteristics

The healthy water resources are necessary and essential prerequisite for environmental protection and economic development, political, social and cultural rights of Iran. In this research, water quality parameters i.e. total dissolved solids (TDS), sodium absorption rate (SAR), electrical conductivity (EC), Na+, Cl-, CO32-, K+, Mg2+, Ca2+, pH, HCO3- and SO42- during 2010-2011 were obtained from Iranian Water Resources Research Institute in water quality measurement stations on Mazandaran province, Iran. Then, the most important catchment characteristics (area, mean slope, mean height, base flow index, annual rainfall, land cover, and geology) were determined on water quality parameters using stepwise regression via backwards method in the 63 selected rivers. The results showed that sodium absorption rate (SAR), total dissolved solids (TDS), electrical conductivity (EC), Na+ and Cl- parameters are strongly linked to geology characteristics, while K+, Mg2+ and Ca2+ cations is linked to rainfall and geology characteristics. pH and HCO3- are related to area, rainfall, land cover and geology characteristics, CO32- is related to area, rainfall, rangeland area and geology characteristics and SO42- is related to area, rainfall, range and bar land area and geology characteristics. Adaptive Neuro-Fuzzy Inference System (ANFIS) was used for modeling the selected catchment characteristics and water quality parameters. The ANFIS models have a high Nash–Sutcliffe model efficiency coefficient (NSE) and low root mean squares error (RMSE) to estimate water quality parameters.
Exploring Information Security Risks in Healthcare Systems

The volume and severity of information security breaches encountered continues to increase as organizations, including healthcare organizations, struggle to identify more effective security policies and procedures. Publicly available guidelines such as GASSP or ISO17799 that are designed to facilitate development of effective security policies and procedures have been criticized for, among other things, inadequate attention to differences in organizational security needs (Baskerville & Siponen, 2002), and for inadequate attention to the social dimensions of security problems (Dhillon & Backhouse, 2001). In this contribution, we argue that the diversity of organizational security needs, as well as the need to recognize the social dimensions to security problems, will continue to grow as companies move away from employing unique, proprietary approaches to software and network development, in favor of adopting standards-based plug-and-play applications, and related standardsbased methods and technologies designed to enable interorganizational as well as local systems interoperability. We use complexity science and adaptive structuration theory to support our arguments that current security management policies and procedures focus on what technologies are used, and on planned systems use to the exclusion of unplanned—but real—emergent use and emergent development of systems. A more holistic approach to security that adapts to emergent systems developments—and most importantly, addresses alternative, emergent uses of systems—is needed, we argue. Throughout the article, we use examples from the healthcare sector to illustrate our points. We do this because Electronic Health Record (EHR) systems that will enable information to be shared across a variety of organizations (local doctors’ offices, hospitals, 1713
Inverted E-shape Microstrip Antenna for Bandwidth and Gain Enhancement

Microstrip antennas are very promising due to their integration capability, but lack of bandwidth. In many communication applications they need to operate in broadband. A high gain wideband microstrip patch antenna is presented in this paper. The design adopts contemporary techniques; direct coaxial probe feeding, inverted patch structure with air-ﬁlled dielectric, and E-shaped patch. The integration of these techniques leads to a new patch antenna with a low proﬁle as well as useful operational features, as the broadband and high gain. The proposed antenna shows a wideband behavior. It is found that antenna attains impedance bandwidth of 41.5% (VSWR ≤ 2) in the frequency range (2.1GHz-3.2GHz). The achievable gain is 9.4dB at 2.42GHz. A parametric study has been carried out in the investigation. A conventional rectangular patch antenna using RT-Duroid 5880 with er = 2.2 and thickness 1.6mm at operating frequency 2.42GHz is used as a reference. The simulated results obtained from MW-Office 2006 simulation software.
Use the Mixture of Rice Straw and the Conocarpus erectus L., 1758 Leaves as the Medium of the Biofilter to Reduce the Ammonia Emitted from Poultry Houses

Poultry houses contribute 93% of the total amount of ammonia gas emittedfrom production facilities. The study aims to evaluate the efficiency of the biofilter forreducing environmental pollution by ammonia gas and using local and cheap materials.Two field experiments were conducted, A chicken (Ross 308, weigh 44.5 g) was raised in 35 days. Experiment unit dimensions are 1.2 x 1.5 x 2.5 length, width and height and each one of them was connected with a biofilter from the outside by air transport channel. The first experiment of three stocking densities (14, 16, 18) birds / m 2 and three replicates. The second experiment included the use of one SD (14 bird\m2), 3 mixtures of rice straw and the conocarpus leaves as the medium of the Biofilter and three replicates. The efficiency of the biofilter (mixture of 0.30 Conocarpus leaves with 0.70 rice straw) was 91%. The efficiency of the Biofilter was about 91.7% when media 0.25 of Conocarpus with 0.75 straw rice and characterized by a high content of total fungi compared to the other two.
IMPLEMENTATION OF ALU USING FPGA

This paper primarily deals with the construction of arithmetic Logic Unit (ALU) using Hardware Description Language (HDL) using Xilinx ISE 9.2i and implement them on Field Programmable Gate Arrays (FPGAs) to analyze the design parameters. ALU of digital computers is an aspect of logic design with the objective of developing appropriate algorithms in order to achieve an efficient utilization of the available hardware. The hardware can only perform a relatively simple and primitive set of Boolean & arithmetic operations and are based on a hierarchy of operations that are built by using algorithms employing the hardware. Speed, power and utilization of ALU are the measures of the efficiency of an algorithm. In this paper, we have simulated and synthesized the various parameters of ALUs by using VHDL on Xilinx ISE 9.2i and SPARTAN 3E FPGA board.
Geometric approaches to the thermodynamics of black holes

In this summary, we present the main topics of the talks presented in the parallel session "Black holes - 5" of the 14th Marcel Grossmann Meeting held in Rome, Italy in July 2015. We first present a short review of the main approaches used to understand thermodynamics by using differential geometry. Then, we present a brief summary of each presentation, including some general remarks and comments.
Identifying the impact of intensive agriculture practices on groundwater quality using GIS and multi-tracer techniques around Sangamner city, Maharashtra, India

Abstract Identifying the impact of intensive agriculture practices on groundwater quality gives an ample idea of associated hydro-chemical facies. This study deciphers the groundwater quality using physico-chemical analysis, multi-tracer and geographical information system (GIS) techniques. To investigate groundwater quality, 25 samples were collected from dug-well in May 2010 and May 2015. Physico-chemical analysis of pH, EC, TDS, Na+, K+, Ca2+, Mg2+, Cl-, HCO3 -, SO4 2-, and NO3 - carried out using American Public Health Association and integrated into AqQA and GIS software. The range of analysis increased in 2015, that is, pH (7.9–8.9), EC (910–9710 µS/cm), TDS (582–6214 mg/l), Na+ (34–850 mg/l), K+ (0.6–3.1 mg/l), Ca2+ (89–346 mg/l), Mg2+ (68–2960 mg/l), Cl- (89–1591 mg/l), HCO3 - (200–799 mg/l), SO4 2- (49–210 mg/l) and NO3 - (10–90 mg/l). Almost samples of pH, TDS, Mg2+, HCO3 - and NO3 - were above BIS standards. A present effort is an innovative approach for bids in similar hydro-geological conditions for sustainable groundwater quality management.
Beyond Mitchell: Multi-Objective Machine Learning - minimal entropy, energy and error

In this paper the need for a truly multi-objective view on machine learning processes is put forward. Though methodologies exist that take into account multiple objectives like model complexity or generalization, they eventually serve to achieve higher prediction accuracies only — albeit with good generalization properties. The fundamental conjecture of this paper, yet to be experimentally validated, is that the machine learning strategies that aim to optimize the structural and energetic properties of models, are the processes that lead to hierarchy building and abstraction respectively, reflected ultimately in the internal representations. In this sense, this paper attempts to give impetus to create a holistic vision in which the impact of different algorithms on abstraction and hierarchy can be investigated, especially in the context of Deep Learning.
Experimental Constraints on an MgO Exsolution‐Driven Geodynamo

MgO exsolution has been proposed to drive an early geodynamo. Experimental studies, however, have drawn different conclusions regarding the applicability of MgO exsolution. While many studies suggest that significant Mg can dissolve into the Earth's core, the amount of MgO exsolved out of the core, which hinges on the temperature dependence of MgO solubility, remains unclear. Here we present new high‐temperature experiments to better constrain the temperature and compositional dependence of Mg partitioning between Fe alloys and silicate liquids. Our experiments show that Mg partitioning is weakly dependent on temperature, while confirming its strong dependence on oxygen content in Fe alloys. This implies that MgO exolution is limited as the core cools but can help drive an early geodyanamo if the core heat loss is slightly subadiabatic. If an exosolution‐driven geodynamo did occur, it was likely over a limited time span that depends on the core thermal history and conductivity.
Framework for Web application development based on Java technologies and AngularJS

The paper presents a framework for developing single page Web applications based on Java technologies and AngularJS. Unlike traditional code-generation, the frontend of this solution uses a set of built-in generic user interface components capable of adapting to any metadata provided from the backend. The goal is to quickly provide a base for building a fully functional application and to switch focus from frontend development to modeling and backend development.
A New Flash Flood Warning Scheme Based on Hydrodynamic Modelling

Flash flooding is one of the most severe natural hazards and commonly occurs in mountainous and hilly areas. Due to the rapid onset of flash floods, early warnings are critical for disaster mitigation and adaptation. In this paper, a flash flood warning scheme is proposed based on hydrodynamic modelling and critical rainfall. Hydrodynamic modelling considers different rainfall and initial soil moisture conditions. The critical rainfall is calculated from the critical hazard, which is based on the flood flow depth and velocity. After the critical rainfall is calculated for each cell in the catchment, a critical rainfall database is built for flash flood warning. Finally, a case study is presented to show the operating procedure of the new flash flood warning scheme.
Study of effect of Gurney Flap on an inverted NACA 23012 Rear Wing

This research paper aims to study the effect of attaching a Gurney flap on the trailing edge of an inverted NACA 23012 rear wing. The model was created in AutoCAD 2013, and the mesh was defined in the pre-processing software ANSYS Gambit 2.4. 6. The flow analyses were done considering the rear wing to be placed in a pressure far field without considering the ground effect. The results were plotted for various factors like downforce, drag and the downforce to drag (L/D) ratio for various heights of the Gurney flap. A velocity inlet model for an air speed of 0.1 Mach (33 m/s) was chosen and the analyses were iterated with different angles of attack. The standard twoequation turbulence kinetic energy and turbulence dissipation model was chosen for the solver. The numerical analysis was carried out in ANSYS Fluent 14.5. The contours of pressure distribution, pressure coefficient and the flow path lines generated were visualized for varying flow characteristics within the computational domain. It was observed that the downforce to drag (L/D) ratio increases with an increase in the angle of attack and the Gurney height. Keywords—Race car aerodynamics; Gurney flap; downforce; Computational Fluid Dynamics (CFD)
Evaluation of the Methane Production Potential of Catfish Processing Wastewater Using Various Anaerobic Digestion Strategies

The U.S. catfish industry is a major industry that has been declining over the years due to imports competition and growing operational costs. Catfish processing wastewater management and high energy requirement put a large financial burden on catfish processing facilities. Recovered protein-based solids have provided some value-added co-products, however, more co-products are needed to offset processing costs. Anaerobic digestion is a proven waste treatment method that produces methane, which is an energetic co-product that can be used within the processing facilities. This study was conducted to evaluate the potential of anaerobic digestion as an alternative to the currently used aerobic biotreatment of catfish processing wastewater. Initial assessments indicated the recalcitrance of the full-strength wastewater to anaerobic digestion, yielding only ~4 m3 per ton (U.S.) of input chemical oxygen demand (CODinput). Thus, several strategies were evaluated to improve the methane yield from the wastewater. These strategies include nutrient (nitrogen and sulfur) amendment, along with ozone, HCl, and NaOH pretreatment. The results showed that nutrient amendment was the most suitable strategy for improving the digestibility of the catfish processing wastewater. A methane yield of 121–236 m3/ton (U.S.) CODinput was obtained, with a purity of 67–80 vol.%. These results are similar to yields and purities of biogas from other feedstock, such as food waste, wastewater solids, and fish canning wastewater. This indicates that anaerobic digestion could be a viable alternative for simultaneous treatment and energetic co-product generation from catfish processing wastewater.
Blind Source Separation Technology

Blind source separation (BSS) is a powerful methodology for signal processing, the processing objects are mixed signals from linear combination of the original data, and the goal is to separate the source from the mixtures and the components separated are statistically independent, or as independent as possible This paper presents a survey and review on the BSS
Permanent magnet synchronous motors

There are many configurations of permanent magnet machine, some of them are more significant than others. Machines are most commonly 3-phase but single phase capacitor start and run designs can be very effective. There is an ever widening choice of magnet materials available, but the most useful are the ferrites and the rare earths, whether samarium cobalt or neodymium-iron-boron. The choice of magnet depends on the specification, with initial cost and operating temperature having an important role. The author examines motor characteristics for three types of permanent magnet synchronous motors and assesses the cost effectiveness of each type.
Identifikasi Tekstur Dan Warna Mineral Untuk Klasifikasi Batuan Beku Dengan Menggunakan Metode Histogram Of Oriented Gradient Dan Linear Discriminant Analysis

Abstrak Batuan terdiri dari tiga jenis, yaitu batuan beku, batuan sedimen, dan batuan metamorf. Para ahli petrologi pada saat ini diharuskan untuk dapat mengidentifikasi dan menentukan komponen mineral apa saja yang terdapat dalam batuan. Hal inilah yang menjadi latar belakang topik tugas akhir penulis untuk membuat suatu sistem yang mampu untuk membantu para ahli petrologi supaya dapat mengidentifikasi dan menentukan komponen mineral pada batuan dengan lebih cepat dan lebih tepat. Sistem yang dibuat penulis menggunakan metode Histogram of Oriented Gradient dan Linear Discriminant Analysis. Dari hasil pengujian diperoleh nilai akurasi dari sistem. Dengan menggunakan metode ekstraksi Histogram of Oriented Gradient dengan ukuran dimensi blok = 2 diperoleh nilai akurasi sebesar 79.12 % untuk data citra parallel dan akurasi sebesar 73.99 % untuk data citra cross nikol. Kata kunci: Batuan, Histogram of Oriented Gradient, Linear Discriminant Analysis Abstract Rock consists of three types, namely igneous rocks, sedimentary rocks, and metamorphic rocks. Petrological experts are now required to identify and determine what mineral components are present in the rock. This is the background of the author's final project to create a system capable of helping petrologists to better identify and determine mineral components in rocks more quickly and more precisely. The system created by the author using the method of Histogram of Oriented Gradient and Linear Discriminant Analysis. From the test results obtained the accuracy of the system. By using Histogram of Oriented Gradient extraction method with block dimension size = 2, the accuracy value of 79.12% for parallel image and accuracy is 73.99% for cross image of nikol. Keywords: Rock, Histogram of Oriented Gradient, Linear Discriminant Analysis
Cities of the dead people originating cities for living humans: study about the representativeness of the Alecrim Cemetery (Cemitério do Alecrim), Natal (RN, Brazil) as an attractive option for Morbid Tourism.

Morbid Tourism is a result of this postmodernity current scenario, a segmentation that has gradually been established nationally, in European cities and in South America cities, as in the case of Buenos Aires, that has already been promoted this kind of practice. The aim of this research is to discuss the use of morbidity in Tourism, evidencing cases in which the morbid context actually occurs and that there is a tourist demand emerging in searching for alternative spaces instead to the conventional mass tourism. It is important to emphasize that during the construction of this work, it was showed the relevance of exploring the use of the cemetery space as a tourist attraction and that it is necessary to break the proper labeling that hide the * Formação: Bacharel em Turismo, formado pela Universidade Federal do Rio Grande do Norte (UFRN). Atividade profissional: Consultor de viagens da Eco Tur, Turismo e Aventura. Endereço físico para correspondência: Rua Rainha do Mar, 152. CEP: 59074-160 Natal Rio Grande do Norte (RN) Brasil. E-mail: wes_lleycarllos@hotmail.com Weslley Carlos da Silva 384 Turismo & Sociedade (ISSN: 1983-5442). Curitiba, v. 11, n. 3, p. 383-411, setembro-dezembro de 2018. immeasurable potential of these places for the Tourism. Using the methodology of bibliographical analysis with historical notes about the Cemitério do Alecrim (Natal, RN, Brazil), it was verified with the most relevant authors of the Rio Grande do Norte history (ALVEAL, 2011; CARDOSO, 2000; CABRAL, 2006; CASCUDO, 1999), documents that contained historical information about the cemetery were also consulted. As the object of research of this study was linked to this modality of Tourism, its appropriation as a potential tourist attraction should be used. It was verified that the literature about morbid Tourism is scarce and there are few researches and approaches in this field of Tourism. This way, the increase of more bibliographical contributions will allow a better involvement with this issue which could provide a greater clarity on its aspects.
ANALYSIS OF HABITAT USE, ACTIVITY, AND BODY CONDITION SCORES OF PRZEWALSKI’S HORSES IN HORTOBAGY NATIONAL PARK, HUNGARY

A founder population of Przewalski’s horses (Equus ferus przewalskii) was set free in a semi-reserve called Pentezug in the Hortobagy National Park (Hungary) in 1997. Beside the Przewalski’s horses reconstructed aurochs (Bos taurus taurus) were bred as well in the 24.5-km2 large area. Both species reproduced successfully in this steppe reserve, which was once the homeland of their distant ancestors. The number of large grazers has grown so quickly that different strategies of population control had to be implemented for reconstructed aurochs and horses in 2007 and 2013, respectively. The activity, habitat use, and body condition of Przewalski’s horses were monitored regularly throughout the 22 years. We detected seasonal changes in the activity of the horses but the proportions of the main activity types were similar in two distant time periods. In contrast, habitat use and body condition scores for the horses showed remarkable differences between early vs. late years of the project, implying that horses were forced to use non-preferable areas and their condition was worsened in parallel with the increased population density of the large grazers. During the cold spring in 2018, there was a massive loss of both horses and cattle. These observations suggest that limited food sources could lead to changes in habitat use and/or worse body condition and a greater death rate in extreme weather conditions. In summary, strict birth control measures must be implemented in dense Przewalski’s horse populations, and the habitat use and body conditions must be monitored to balance the population size and carrying capacity of the areas.
Adopting A Resiliency Scrutiny For Cloud- Oriented Recital Matrices

Generally cloud systems will give you services at three levels for instance infrastructure just like a service, platform just like a service, additionally to software just like a service. Cloud federation that will us to supply and free sources if needed, consequently offer elastic ability towards complete infrastructure and for that reason general techniques of performance evaluation aren't simply adopted. For representing cloud system, an analytical representation must be scalable to help with very huge systems which comprise a lot of sources as well as the system must be flexible for enabling easy implementation of several techniques additionally to recommendations also to represent various functioning conditions. We introduce analytical representation that's according to stochastic reward nets that's scalable to model systems that includes several sources and scalable to represent various recommendations additionally to cloud-specific schemes. The device representation is scalable to represent systems which comprise volume of sources plus it signifies both physical additionally to virtual sources that utilize cloud-specific concepts of infrastructure flexibility.