Miracle-dz/UniFAR-FTUs huggingface dataset:
An Expectation-Maximization Approach to Spectral Structure Identification and Estimation

Abstract : The method of Expectation-Maximization is applied to find an approximate maximum-likelihood estimate of the amplitudes, phases and frequency shift of a known collection of spectral lines in a signal with Gaussian noise. The technique works well for many frequency components provided that these frequencies are well separated. It is applied to the identification of the frequencies present in a radar return from a propeller driven aircraft, arising from modulation by blades of the propellers.
Los memes políticos como recurso persuasivo online . Análisis de su repercusión durante los debates electorales de 2019 en España

Resumo En el contexto del politainment online , el recurso de los memes políticos como fórmula humorística y creativa para configurar la imagen política se ha convertido en una práctica cada vez más habitual en las campañas electorales. Especialmente con motivo de la celebración de debates electorales, la difusión de memes políticos en redes sociales ha acaparado el interés de los académicos. Este artículo toma en consideración las taxonomías establecidas sobre los tipos de memes políticos y analiza su capacidad persuasiva. En concreto, la investigación incluye un análisis cuantitativo de los principales memes difundidos en Twitter durante los dos debates electorales que tuvieron lugar en la campaña electoral de 2019 en España: 4N y 7N. El estudio está fundamentado en la perspectiva del framing integrado (textual-visual) y se sustenta sobre el estudio del poder persuasivo de los memes basado en la importancia de cada uno de los elementos de la retórica ( pathos, ethos y logos ) con el objetivo de analizar, asimismo, las consecuencias sobre su viralidad y repercusión en la audiencia social.
Functional Properties of Sausage Rolls Made from Cocoyam and Wheat Flour Enriched with Soybean Flour

Functional properties of sausage rolls made from cocoyam and wheat flour enriched with soybean flour was studied. Cocoyam cormels and soybean were processed into flour, which were later used to formulate composite flour blends, with wheat flour in the ratio of: 90:10:0 (control 1), 80:10:10, 70:10:20, 60:10:40, 50:10:30, respectively, while 0:10:90 served as control 2. The result of the functional properties showed variation in behavior. There were no significant difference (p? 0.05) in pH, bulk density, swelling index, foam capacity and emulsion capacity of the flour samples while significant difference (p? 0.05) existed in water absorption capacity, oil absorption capacity and wettability.
KOMPUTERISASI PASAR SWALAYAN :IMPLIKASINYA TERHADAP KINERJA KARYAWAN

COMPUTERIZATION AT SUPERMARKET : ITS IMPLICATION TO THE PERFORMANCE OF EMPLOYEES Computerization at supermarket is expected to ease employees to accomplish their tasks. Integration of information technology with the firm's infrastructure i.e. human resource or to be exact characteristics of human task, would leverage the employees performance, on the condition that the integration has a proper alignment. The purpose of this research is to test the correlation of integration task- technology and the employees' performance and to analyze variables which indicates integration of the task — technology. Strategic of this study is case study toward some supermarkets as samples, (Hero, Matahari and Sri Ratu). Primary data collected through questionnaire. Total questionnaire returned is 117 units. A method applied in this study is psychometric properties, as for the data is analyzed by multiple linear regression. Result of the study shows some variables which have positive effect to the performance i.e. accuracy of the data, availibility of the data, understanding toward the programs and competency of the computer. As a matter of fact, there are two other variables should be taken into consideration. Although statistically they are not significant, i.e. accessibility and consistency of the data, but they are related to the other four variables. Management should pay attention to these six variables at the time they redesign work task and computers' programme. ABSTRAK KOMPUTERISASI PASAR SWALAYAN IMPLIKASINYA TERHADAP KINERJA KARYAWAN Komputerisasi di pasar swalayan diharapkan memudahkan karyawan melaksanakan tugasnya. Integrasi antara teknologi informasi dengan infrastruktur perusahaan yaitu sumber daya manusia atau tepatnya karakteristik dari tugas-tugas karyawan dapat meningkatkan kinerja karyawan dengan syarat adanya kesesuaian karakteristik tugas dan teknologi. Tujuan penelitian ini adalah untuk menguji pengaruh kesesuaian tugas-teknologi terhadap dampak kinerja karyawan serta menganalisis faktor-faktor indikator kesesuaian tugas telcnologi tersebut. Strategi penelitian dilakukan dengan studi kasus terhadap ketiga pasar swalayan sebagai sampel, (Hero, Matahari dan Sri Ratu), sedangkan pengumpulan data primer dilakukan melalui kuisioner. Jumlah kuisioner yang kembali berjumlah 117 unit. Metode penelitian adalah pengukuran perilaku karyawan terhadap komputerisasi yang dianalisa dengan regresi linear berganda. Hasil penelitian menunjukkan variabel-variabel yang berpengaruh positif terhadap dampak kinerja yaitu variabel ketepatan data, ketersediaan data, pemahaman dan kelancaran program. Namun demikian ada dua variabel lagi yang perlu diperhatikan, yaitu pengaksesan data dan konsistensi data, walaupun kedua variabel tersebut secara statistik tidak signifikan pengaruhnya terhadap dampak kinerja, namun keduanya berkaitan dengan keempat variabel sebelumnya. Manajemen disarankan mempertimbangkan keenam faktor tersebut diatas pada saat merencanakan peningkatan program komputer dan desain pekerjaan
NURSES’ AWARENESS AND PERCEPTION OF FOUR SCORE SCALE VERSUS GLASGOW COMA SCALE TOOL USED AMONG INTUBATED PATIENTS

Level of consciousness has always been part of the endorsement and/or data in the nurses notes. Commonly used in the practice is still the GCS. It has also been an observation that in different cases, even though the patients are awake, since they are intubated, verbal response is immediately scored as 1 which contributes to a low GCS score that is relative to a bad prognosis. Also, assessment for complex reflexes are left out which can entail a better assessment on LOC. Hence, this study aims to compare the assessment, awareness, and perception of nurses in different levels of expertise assigned in the emergency department on the level of consciousness of intubated patients using the FSS and GCS tools to hasten triage categorization. It utilized a quantitative, descriptive-comparative type of research conducted in a government hospital in Cebu City. Specifically, on the areas of Emergency Department and Non- Trauma, where the researcher has easier access to registered nurses who are taking care of intubated patients. The researcher utilized awareness and perception tools and the FSS and GCS where researcher used complete enumeration involving 32 nurses. In light with the findings of this study, this can be utilized through thorough introduction of the FSS by an expert and on how to utilize the tool.
Travel Behavior Research

Travel behavior has been an area of great interest to practitioners, researchers, and policy makers interested in the demand side of transport systems. The travel choices made by travelers have a direct impact on the performance of transport systems and networks. Moreover, our travel behavior generates both positive and negative effects on our wealth, health, and well-being. In addition, travel behavior arising from the choices of individuals is perhaps the most significant determinant of effectiveness of transport policies and schemes. It is therefore desirable to understand and predict how people make travel choices, how travel choices might affect the overall performance of the transport system, and how travelers’ behavior can be influenced in order to make it more efficient, safe, and sustainable. This article presents the grounds that justify the application of artificial intelligence (AI) techniques to travel behavior modeling and then describes the applications of a wide range of AI paradigms to travel behavior research, including fuzzy set theory, neural networks, genetic algorithms, and multiagent simulations.
Triphone Model Based Novel Kannada Continuous Speech Recognition System using Kaldi Tool

Accent is one of the issue for speech recognition systems. Automatic Speech Recognition systems must yield high performance for different dialects. In this work, Neutral Kannada Automatic Speech Recognition is implemented using Kaldi software for monophone modelling and triphone modeling. The acoustic models are constructed using the techniques such as monophone, triphone1, triphone2, triphone3. In triphone modeling, grouping of interphones is performed. Feature extraction is performed by Mel Frequency Cepstral Coefficients. The system performance is analysed by measuring Word Error Rate using different acoustic models. To know the robustness and performance of the Neutral Kannada Automatic Speech Recognition system for different dialects in Kannada, the system is tested for North Kannada accent. Better sentence accuracy is obtained for Neutral Kannada Automatic Speech Recognition system and is about 90%. The performance is degraded, when tested for North Kannada accent and the accuracy obtained is around 77%. The performance is degraded due to the increasing mismatch between the training and testing data set, as the Neutral Kannada Automatic Speech Recognition system is trained only for neutral Kannada acoustic model and doesn't include north Kannada acoustic model. Interactive Kannada voice response system is implemented to identify continuous Kannada speech sentences.
A Three-Dimensional Eulerian Code for Simulation of High-Speed Multimaterial Interactions

Abstract : High speed material interactions may lead to large deformations followed by fragmentation. To simulate such problems in the Eulerian framework on a fixed Cartesian mesh, all interfaces (free surfaces as well as interacting material interfaces) are tracked as levelsets; to resolve shocks and interfaces, a quad-tree adaptive mesh is employed. Collisions between embedded objects are resolved using an efficient collision detection algorithm and appropriate ineterfacial conditions are supplied. This paper addresses issues associated with the treatment of all interfaces as sharp entities by defining ghost fields on each side of the interface. Key issues of supplying interfacial conditions at the location of the interface and populating the ghost cells with physically consistent values during and beyond fragmentation events are addressed. An efficient parallel algorithm is used to handle computationally intensive three-dimensional problems. Numerous examples pertaining to impact, penetration, void collapse and fragmentation phenomena are presented along with careful benchmarking to establish the validity, the accuracy and the versatility of the approach.
Magnetic Field Generation and B-Dot Sensor Characterization in the High Frequency Band

Abstract : Designing a high frequency (HF) magnetic field direction finding (DF) array for use onboard a military aircraft is the challenge that drives the effort of the research presented. The frequency range of interest, 2-32 MHz, has a maximum wavelength (150 meters) that exceeds the maximum length of any platform in the USAF inventory. The large wavelengths in the HF range make it difficult to accurately estimate from which direction a magnetic field is emitting. Accurate DF estimates are necessary for search and rescue operations and geolocating RF emitters of interest. The primary goal of this research is to characterize the performance of the MGL-S8A (Multi-Gap loop) B-Dot sensor. Although the sensors are designed to operate at frequencies above 5 GHz, their small size and potential to accurately detect magnetic fields in the 2-32 MHz range make them likely to be one type of an ensemble of sensors in the design of a HF DF array. The sensors are characterized in the azimuthal angles of 0, 45, -45, 90, and -90 degrees. Each sensor is characterized using two different types of magnetic field generators: a transverse electromagnetic (TEM) cell and a Helmholtz coil. The TEM cell generates a consistent magnetic field that acts as the input to the B-Dot sensor. The second type of magnetic field generator used, which is the secondary objective of this research, is a Helmholtz coil. An ideally designed Helmholtz coil is intended to be an inexpensive alternative to help in the characterization of B-Dot sensors in the HF range. The sensors can accurately measure electromagnetic (EM) fields in the HF range. Although the detection capability of the sensors is good, small differences between the 0 and 45 degree measurements may make it difficult for the sensors to be used in a DF array.
Catastrophic health expenditure and its determinants among households in Rural Puducherry

Health care expenditures exacerbate poverty, with additional 25 million households or more than 100 million individuals globally pushed into poverty every year because of such expenditures. The Government expenditure on in is only 1.04% of GDP which is and less than 30% of total health spending. Aim: To assess the proportion of catastrophic health expenditure and the factors influencing among households in rural Puducherry. Materials Methods: A community based cross-sectional analytical study was conducted in selected villages within 5 kms of a Medical College Hospital in Puducherry from September 2016 to June 2017. Socio-demographic details and health expenditure of the households were obtained using epicollect5 software from 817 households with 3459 individuals. Data were exported to Microsoft excel and analysed using STATA(v14). Multivariate analysis using binary logistic regression analysis was done to identify the independent effect of various factors on catastrophic health expenditure. Results: The mean per-capita expenditure on health care among the households was INR 226.5. About 27% of the households incurred catastrophic health expenditure. Multivariate analysis revealed that households with lower socio-economic status [11.21 (95%CI:5.07-24.82)], presence of vulnerable individuals at home [2.94 (95%CI:1.82-4.01)], alcohol-tobacco consumption [2.37 (95%CI:1.31-3.19)] and no health insurance schemes [6.89 (95%CI:4.74-10.41)] were the factors independently associated with catastrophic health expenditure. Conclusion: Catastrophic health expenditure was found in about one-fourth (27.2%) of the households. The household factors influencing catastrophic health expenditure were also identified. Strengthening the ability of health-care systems to provide comprehensive care is essential for reducing the burden of catastrophic health expenditure. Special focus must be given to financing the health care needs of the disadvantaged sections of the population.
MICROCONTROLLER BASED PHASE CONTROL CIRCUIT FOR RESONANT POWER CONVERTERS

A microcontroller based circuit is developed for driving the IGBT switches of a bridge resonant power converter used for induction heating of metals. When a resonant power converter is used for induction heating the load is variable due to the effects of the heating process making the converter to operate out of resonance. This effect decreases the converter output power and increases switching loses. In order to maintain constant output power operating constantly on the resonant frequency a microcontroller program and circuit are developed. The control circuit corrects the operating frequency according to the load changes measuring the output voltage to current phase difference, hence keeping the converter at resonance. The presented circuit is tested with simulations and its operation is confirmed practically with a prototype board.
Pre-implementation framework for electronic medical record project

Even though the Electronic Medical Record(EMR) projects have been going on for many years, with many groups of stakeholders involved, it was found that there was no clear guidelines in terms of the stak eholders’ role in the EMR projects.This paper attempts to fill in the gap in the existing implementation plan by introducing the pre-implementation framework for the EMR projects.This framework focuses on the role and responsibilities of all the stakeholders that have been identified from the literature. Six stakeholders are involved in the EMR projects:- 1) the Government, 2)the healthcare organization, 3) the IT personnel, 4) the end-users, 5) the healthcare application developer, and 6) the suppliers. The pre-implementation framework for the ERM project was constructed by using the Activity Diagram with the Unified Modeling Language (UML) notation to show the clear roles of all stakeholders. This paper also describes four elements involved in the pre-implementation framework:- 1)Preparation of the Stakeholder , 2) Hardware Preparation, 3) Preparation of the Developer, and 4) Software Preparation. It is hoped that the pre-implementation framework proposed in this paper could be used as a guideline to implement the EMR system.
Communication and Effective Policing in Nigeria

A major problem in Nigerian Policing is that of Communication. Primary among the ever-recurring and persistent problems in the field of police management is that concerned with developing and maintaining an effective systemsof communication.Communication is the primary vehicle for bringing about agreement between all the members of a department as to the police objectives. It is thebase for a common and continuing understanding of problems and accomplishmentsexperienced in the day to day pursuits toward the objectives.Most writers in the field of police management have treated the subject of communication as purely a technical problem, concerned primarily with police teletype,telephone, telegraph, and radio facilities, having to do with communication betweenheadquarters and the field or between departments. This has led to a one sidedapproach which does not provide an understanding of internal departmental communication so vital to administration.
AVALIAÇÃO ECONÔMICA DO AUMENTO DA CAPACIDADE PRODUTIVA DE UMA CÉLULA DE MANUFATURA POR SIMULAÇÃO A EVENTOS DISCRETOS

The main goal of this work is to present an application of the combined use of discrete event simulation, Design of Experiments and economic evaluation to prize the economic risk of the increase in production capacity of a manufacturing cell. Firstly, the production process was documented by a SIPOC, an IDEF0 and a Flowchart. These techniques were combined to elaborate the simulation conceptual model. After that, a computer model was built to emulate the real system and was verified and statistically validated. Sixty four possible scenarios were tested, and in this case, the DOE contributed to select the scenarios which are relevant to the economic analysis. The simulator used was Promodel® which provided the output to feed the cash flow of each scenario. Finally, the Net Present Value (NPV) and the economic risk of each scenario were calculated.
Team Ministry between Pastors and Shepherdesses: A Case Study of the Seventh Day Adventist Midlands Conference

The church has a big responsibility to prepare people for the coming of Jesus Christ. It exists for the purpose of giving service towards the salvation of people. So it evangelizes in many different ways. Those who accept the word are taught and baptized in the name of the three members of the holy trinity. Jesus commanded his disciples to, “Go into the world and teach all nations baptizing them in the name of the father, the Son and the Holy Ghost”. (Matt 28:19). The same commission is also repeated in the book of (Mark 16:15). Luke further substantiates that, “And that repentance and remission of sins should be preached in his name among all nations, beginning at Jerusalem”. (Luke 24:47). So there is work to spread the gospel ministry. In this work the trinity works as a team.
Energy Minimization under Uncertainty using Coordinated Multi-phase Synthesis Techniques

Energy minimization is one of the premiere design objectives in modern inte-grated circuits (ICs). Currently, there is a pressing need to reduce energy con-sumption in systems that span a wide array of form factors, ranging from mobilephones/tablets, where simultaneously maximizing battery lifetime and satisfyinguser experience is of paramount importance, to data centers/super-computers,where even a small reduction in energy can translate to billions of dollars savedin operating costs. However, as transistors continue to scale deeper into the sub-micron regime, producing energy efficient designs has become more challenging.Leakage power has increased significantly with respect to its total power con-tribution, which in turn is exponentially dependent on operating temperature;moreover, this is further exacerbated by increased device densities. Furthermore,the impact of process variation in the design flow under these scenarios requires in-creased attention, as small random alterations on a device (e.g., threshold-voltagevariations) can greatly impact overall energy and delay yields. Thus, as we con-tinue to delve into the billion transistor era and beyond, new techniques are neededto adapt to the continuously evolving physical landscape of IC technology.This thesis presents several systematic and coordinated methods that simul-taneously address energy and performance objectives for nano-scale technologies.We introduce a multi-phase IC synthesis framework with an emphasis on opti-mization parameters that, in recent years, have become more pronounced in near-and super-threshold technology regimes; these parameters include gate switchingactivity, input vector control, load capacitance, and operating temperature. Wepresent new gate-level and structural transformation techniques that, when per-formed in a coordinated fashion, enable more energy efficient designs later in thedesign flow. These techniques include gate sizing and threshold-voltage selection,circuit unfolding, and re-timing. Each technique accounts for the aforementionedparameters in generating ultra-low energy designs that satisfy the specified perfor-mance target. We also present a scenario-based approach for optimization underuncertainty in order to address the impact of process variation