Miracle-dz/UniFAR-FTUs huggingface dataset:
A Singular Function Algorithm for Packing the Protocol Description Unit Packet

A new sequential singular function algorithm for packing Protocol Description Unit packets in the Short Message Mobile Originated Point-to-Point service is proposed. The single function algorithm simplifies the Short Message Entities programming where ATtention Commands are used to link Switched on Mobile Stations with Service Centers. This is in mode 0 of the short message service transmission. This paper shows that by using, only one single string function, the “ Mid ” or “ Substring” function, it is still possible and is simpler to encode all the metadata contained in the Transport Protocol Data Unit frame of the Submit Protocol Description Unit packet. Our results show that, this proposed algorithm, always outputs 100% perfectly accurate packets for any combination of header and user data payload submitted in hexadecimal octets or decimal semi-octet format. It is thus possible for programmers not only to manipulate the distinct fields of the header data but also to modify the metadata using that single function only.
Peace of mind: The impact of metal gestures on stress and power

Findings on metal research show an action-oriented, socially competent and less stressed community, opposing the assumption that metal reduces well-being and induces depression. Our study aimed to investigate the stress-reducing effects of metal for its fans and if this is influencing power experience. The idea is based on findings that indicate positive psychological and physical effects of music in general as well as the stress-reducing effects found for open, expansive gestures (e.g. ‘Metal gestures’). After stress was raised, participants listened either to metal or to classical music. While music was played, movements of half of the participants were blocked, thus, metal gestures were not possible. Metal music led to stress reduction of such blocked movements while classical music was found only to reduce stress when movements were not blocked. Stress reduction predicted the experience of power, but metal music and movements did not.
Design of a Write-Optimized Data Store

The WriteBuffer (WB) Tree is a new write-optimized data structure that can be used to implement per-node storage in unordered key-value stores. The WB Tree provides faster writes than the Log-Structured Merge (LSM) Tree that is used in many current high-performance key-value stores. It achieves this by replacing compactions in LSM Trees, which are I/O-intensive, with light-weight spills and splits, along with other techniques. By providing nearly 30× higher write performance compared to current high-performance key-value stores, while providing comparable read performance (1-2 I/Os per read using 1-2B per key of memory), the WB Tree addresses the needs of a class of increasingly popular write-intensive workloads.
Diagnosis diagrams for passing signals on an automatic block signaling railway section

This work presents a diagnosis method for railway traffic security installations. More specifically, the authors present a series of diagnosis charts for passing signals on a railway block equipped with an automatic block signaling installation. These charts are based on the exploitation electric schemes, and are subsequently used to develop a diagnosis software package. The thus developed software package contributes substantially to a reduction of failure detection and remedy for these types of installation faults. The use of the software package eliminates making wrong decisions in the fault detection process, decisions that may result in longer remedy times and, sometimes, to railway traffic events.
Evaluating evaluations of clinical decision support systems : case studies from NHS clinical settings

The NHS is under increasing pressure to cut costs while delivering high quality care. At the same time, the demand for healthcare services has grown, driven in part by the increasing number of older people in the population. NHS Trusts are adopting clinical decision support systems (CDSSs) to help decision making at the point of care. CDSSs are said to bring benefits such as improvements in guideline adherence, clinical processes and user performance but evidence of these benefits is not always available and their effectiveness in terms of improving patient outcomes is often open to question. This thesis presents research that was carried out in a large teaching NHS Trust looking at the evaluations of three CDSSs. Semi structured interviews were carried out with key informants who were involved in their adoption, use and evaluations. Documentary analysis and observations were also used to augment the interviews. Most evaluations were carried out informally by the developers and were primarily driven by external regulatory pressures rather than patient outcomes and organisational needs. Evaluation documentation was inadequate or missing, thus making it difficult to systematically assess these evaluations. This thesis contends that evaluations are important to provide decision makers in NHS Trusts with adequate information to make decisions about CDSSs and computerised healthcare information technologies in general. NHS Trusts need to build organisational capacity and readiness to enable them to effectively carry out evaluations that will provide meaningful information to gain better understanding of CDSSs and to inform their successful adoption, implementation, usage and to justify the resource allocation. This research shows that CDSS evaluations investigated took a predominantly narrow view. It thus provides evidence for the need for a more systemic approach to evaluation.
Comparative Analysis and Simulation of Various QAM Techniques as used in DVBT2

Objectives: This paper proposes comparative performance analysis of QAM techniques as used in DVBT2 applied to random data base and also to images. Methods/Statistical Analysis: The proposed work uses MATLAB as the basic tool and applies DVBT2 techniques using 16 QAM and 64 QAM modulation techniques. The analysis is about observing the effect of increment in SNR on the corresponding BER. In case of image, the same has been verified visually by seeing the quality of reconstruction. Findings: The BER achieved is decreasing for an incremented value of SNR and there is a very well observed trade-off between these two, when 16 QAM and 64 QAM are applied in DVBT2. Also, it can be seen that images are better reconstructed in case when SNR is just little more than. Improvements: Dropping the probably less efficient 4 QAM, the potentially better 16 and 64 QAM is being targeted and results are obtained.
Simulation Analysis for Multicast Context Delivery Network Mobility Management

The objective of this paper is to presents analyses for multicast network mobility management using NS3. It is mainly to verify the proposed network architecture and its activities. NS3 is a network simulator that implements virtually network prototype that is close to real implementation. Network mobility management has become a popular topic in networking research due to its ability to mitigate mobile IPv6 problems. However the standard network mobility management only introduced to support unicast traffic. Hence this paper integrates context transfer and multicast fast reroute, and implements this integration to the standard network mobility management. This implementation enables multicast to network mobility management with high network performance support. The analyses focus on the throughput performance. The analyses of this simulator are hereby presented.
The Stock Market and the Financing of Corporate Growth in Africa; The Case of Ghana

This paper examines the corporate financing pattern in Ghana. In particular, it investigates whether Singh's theoretically anomalous findings that developing country firms make considerably more use of external finance and new equity issues than developed country firms to finance asset growth hold in the case of Ghana. Replicating Singh's methodology, our results show that compared with corporations in advanced countries, the average listed Ghanaian firm finances its growth of total assets mainly from short-term debt. The stock market, however, is the most important source of long-term finance for listed Ghanaian firms. Overall, the evidence in this paper suggests that the stock market is a surprisingly important source of finance for funding corporate growth and that stock market development in Ghana has been important.
Evaluating recommendation systems for a sparse boolean dataset

Recommendation systems is an area within machine learning that has become increasingly relevant with the expansion of the daily usage of technology. The most popular approaches when making a recommendation system are collaborative filtering and content-based. Collaborative filtering also contains two major sub approaches memory-based and model-based. This thesis will explore both content-based and collaborative filtering to use as a recommendation system on a sparse boolean dataset. For the content-based filtering approach term frequency-inverse document frequency algorithm was implemented. As a memory-based approach K-nearest neighbours method was conducted. For the model-based approach two different algorithms were implemented, singular value decomposition and alter least square. To evaluate, a cross-approach evaluator was used by looking at the recommendations as a search, a search that the users were not aware of. Key values such as the number of test users who could received a recommendation, time consumption, F1 score (precision and recall) and the dataset size were used to compare the methods and reach conclusions. The finding of the study was that collaborative filtering was the most accurate choice when it comes to sparse datasets. The implemented algorithm for the model-based collaborative filtering that performed most accurate was Singular value decomposition without any regularization against overfitting. A further step of this thesis would be to evaluate the different methods in an online environment with active users, giving feedback in real time.
A backwards approach to instructional design

This paper describes a project whereby 45 K-12 educators underwent forty hours of intensive training on developing a technology integrated unit of study from a backwards design point of view. After reviewing the related literature, and the idea of "backwards design", the following topics, which are individual components of the overall process, are described at length. 1. Unit Plan 2. Using the Internet to locate resources 3. Student Samples 4. Scaffolds to support the unit 5. Teacher support materials 6. Pedagogical issues Samples of participant's work are included, where applicable. Conclusions about the individual components are reached and recommendations, about the overall process are made in both the areas of who to train, and the training process in particular.
Improvement of the numerical capacities of simulation tools for reactive transport modeling in porous media

Reactive transport modeling in porous media involves the simulation of several physico‑chemical processes: flow of fluid phases, transport of species, heat transport, chemical reactions between species in the same phase or in different phases. The resolution of the system of equations that describes the problem can be obtained by a fully coupled approach or by a decoupled approach. Decoupled approaches can simplify the system of equations by breaking down the problem into smaller parts that are easier to handle. Each of the smaller parts can be solved with suitable integration techniques. The decoupling techniques might be non‑iterative (operator splitting methods) or iterative (fixed‑point iteration), having each its advantages and disadvantages. Non‑iterative approaches have an error associated with the separation of the coupled effects, and iterative approaches might have problems to converge. In this thesis, we develop an open‑source code written in MATLAB (https://github.com/TReacLab/TReacLab) in order to model the problematic of concrete atmospheric carbonation for an intermediate‑level long‑lived nuclear waste package in a deep geological repository. The code uses a decoupled approach. Classical operator splitting approaches, such as sequential, alternating or Strang splitting, and less classical splitting approaches, such as additive or symmetrically weighted splitting, have been implemented. Besides, two iterative approaches based on an specific formulation (SIA CC, and SIA TC) have also been implemented. The code has been interfaced in a generic way with different transport solvers (COMSOL, pdepe MATLAB, FVTool, FD scripts) and geochemical solvers (iPhreeqc, PhreeqcRM). In order to validate the implementation of the different approaches, a series of classical benchmarks in the field of reactive transport have been solved successfully and compared with analytical and external numerical solutions. Since the associated error due to the combination of operator splitting and numerical techniques may be complex to assess, we explore the existing mathematical tools used to evaluate it. Finally, we frame the atmospheric carbonation problem and run preliminary simulations, stating the relevant problems and future steps to follow.
Autonomous Robotic Automation Systemwith Vision Feedback

In this thesis, a full design, development and application of an autonomous robotic automation system using vision feedback is performed. To realize this system, a cylindrical manipulator configuration is implemented, using a personal computer (PC) based PID controller from National Instruments. Full autonomous control will be achieved via a programmable human machine interface (HMI) developed on a PC using Borland C++ Builder. The vision feedback position control is accomplished using an ordinary “off-the-shelf” web camera. The manuscript is organized as follows; After Chapter 1, an introduction to automation history and its role in the manufacturing industry, Chapter 2 discusses and outlines the development of the robotic kinematics and dynamics of the system. A control strategy is also developed and simulated in this chapter. Chapter 3 discusses color image processing and shows the development of the algorithm used for the vision feedback position control. Chapter 4 outlines the system development, which includes the hardware and software. Chapter 5 concludes with a summary, and improvement section. ii The process used as a basis for the design and development of this thesis of this thesis topic was constructed from a manual capacitor orientation check test station. A more detailed definition and objective is presented in the
Construcción y valoración de las propiedades psicométricas del Cuestionario de Contextos de Consumo de Alcohol para Adolescentes (CCCA-A)

A new measure of drinking contexts in adolescents was developed and validated. Phase 1: 212 participants answered three structured open format questions to gather informat ion regarding why, with whom and where adolescents drink alcohol. The pool of items was analyzed by a group of three experts according to t he following criteria: item correspondence with two different theoretical models and item semantic correctness. According with the evaluation of the agreement between judges, a set of 47 items was obtained. Pha se 2: 275 participants answered the Drinking Contexts Questionnaire -Adolescent form (CCCA- A). Internal structure was analyzed through the use of exploratory factor analysis. A principal component analysis with oblim in rotation (promax) yielded a four factor structure. The measure was fo und to demonstrate very good internal consistency for the four scales: soci al facilitation, peer pressure, stress control and parental control. Thes e results indicate that CCCA-A is a valid and reliable measure to assess dr inking contexts in Argentinean adolescents. Palabras clave: Interaccion; metodologia; disenos factoriales; inte raccion de razon
Resilience and Economic Growth in Arid Lands - Accelerated Growth in Kenya: Mitigation co-benefits of herd size and feed quality management

 REGAL-AG’s interventions have sought to improve links between livestock producers and buyers, to boost producer access to critical inputs, and to increase availability of timely market information, which resulted in a decrease in slaughter age for all livestock types. REGALAG anticipated that these dynamics, coupled with the program outreach activities, could result in a 10% decrease in herd size, which drives the greater share of emission reductions.
Facial Expression Recognition

Facial expression recognition is the task of autonomously analyzing the human face to estimate a person’s emotional state, mood or other form of facial communication. The ability to automatically extract facial semantic information has widespread implications on a number of industries including security, entertainment, and human computer interfaces. Stateof-the-art techniques have become adept at recognizing posed expressions in laboratory conditions and have migrated to recognizing spontaneous expressions in uncontrolled settings. The importance of facial expressions was recognized in Charles Darwin’s 1872 book “The Expression of the Emotions in Man and Animals. ” In the late 1960’s, psychologist Paul Ekman and his collaborator Wallace Friesen empirically showed all cultures exhibit the six universal expressions of fear, sadness, happiness, anger, disgust, and surprise. Ekman, Friesen, and their colleagues then created a taxonomy of facial expressions and documented forty-three facial movements constituting over ten thousand facial expressions. They discovered facial expressions consisted of both voluntary and involuntary muscle contractions, noted differences between genuine and posed expressions, and documented quick bursts of involuntary facial expressions called microexpressions. Affective computing, or computing that deliberately senses and influences emotion have spawned a new era in human computer interfaces. Facial expression recognition techniques initially mastered posed datasets and in the past decade researchers began introducing variability in the expression data. Today, techniques are focusing on recognizing facial expression in unconstrained conditions which include variations of facial pose, facial occlusions, illumination, image fidelity, and background clutter.
Brand Management: Dealing with negative eWOM by restaurants

This paper aims to find out how restaurants can deal with negative e-WOM. Online reviews are becoming a larger part of the expression of a customer’s experience. When a customer expresses its customer experience online, it can influence a restaurant either positively or negatively. The effects of negative online reviews on the number of sales and the image of the restaurant are well known. Thus, it should also be clear how a restaurant can handle these negative online reviews in order to minimize the consequences. Therefore, different response strategies are explained and examined. By conducting an experimental survey, an analysis can be done about different response strategies. As a result, a recommendation for restaurants will be given in order to handle negative online reviews as best as possible.
The Effect of the Type of the Finished High School on the Nature Relatedness of Pre-service Primary Teachers

The paper deals with an individual’s nature relatedness and a selected significant variable which may have an effect on it; especially it researches the studied high school relation to nature relatedness in primary school teacher trainees. It is research in quantitative design, using a questionnaire to collect data. The questionnaire was based on the Nature Relatedness Scale. Results show a significant effect of the type of high school finished on students’ nature relatedness. The highest scores in the construct analysed were obtained in nature and science-oriented branches, the lowest by graduates of social sciences and general grammar schools. Such results confirm the significance of education in natural science in forming a positive attitude to nature and disprove the cliché ideas of polytechnics producing environmentally insensitive graduates.
El juego de la vida: una interpretación basada en el contagio de la euforia durante la formación de burbujas especulativas

Experimental studies have shown evidence that the dynamics in the stock markets generate that some agents encourage high expectations about an asset, as it is understood that it happens in a speculative bubble. Therefore, modeling the contagion of euphoria (expectations) can help to identify behavioral scenarios in a complex environment. The purpose of this research is to perform computer simulations using cellular automata (ACs) to emulate the contagion of euphoria during the formation of a speculative bubble. Specifically, The Game of Life by Conway is proposed as an example to simulate complex dynamics where the displacement of individuals is an essential element. The conclusions indicate that under this proposal only a few investors and a strategic location are required to infect a significant number of market participants.
Prevalencia de síntomas de ansiedad en una muestra de estudiantes universitarios en una facultad de ciencias de la salud en México

espanolAntecedentes: Los sintomas de ansiedad son uno de los problemas de salud mental mas frecuentes en la poblacion mexicana. Los estudiantes universitarios estan en riesgo de desarrollar sintomas de ansiedad debido a los desafios relacionados con el inicio de estudios universitarios y la busqueda de un titulo universitario. Objetivo: se evaluaron sintomas de ansiedad en una muestra de estudiantes universitarios para conocer la prevalencia de los mismos dentro de las diferentes carreras. Participantes: 270 estudiantes universitarios de la Universidad Nacional Autonoma de Mexico, FES Iztacala, que incluye carreras relacionadas con la Salud. Metodo: el Inventario de Ansiedad de Beck fue completado por una muestra balanceada en el campus de la universidad. Resultados: casi un cuarto de la poblacion tiene sintomas de ansiedad por encima del punto de corte. Las estudiantes mostraron estar mas ansiosas que los estudiantes varones. Los estudiantes mas jovenes presentan mayor sintomatologia ansiosa. Conclusiones: los hallazgos proporcionan evidencia de que las mujeres pueden estar en mayor riesgo de desarrollar sintomas de ansiedad, lo que podria afectar su desempeno academico. Asi mismo los estudiantes mas jovenes son un area de oportunidad para ser detectados y canalizados a servicios especializados dentro del campus EnglishBackground: Anxiety symptoms are one of the more frequent mental health related issues prevalent on the Mexican population. College students are at risk of developing anxiety symptoms because of the challenges related to starting college studies and pursuing a college degree. Objective: Levels of anxiety symptoms in a sample of college students were assessed to examine their prevalence among the different university school programs. Participants: 270 college students at the National Autonomus University of Mexico, FES Iztacala, Faculty of Health Sciences. Method: Beck Anxiety Inventory was completed by the balanced sample at University campus. Results: Almost one quarter of the population has symptoms of anxiety above the cut point. Female students showed to be more anxious than male students. Younger students showed higher prevalence of anxiety symptoms. Conclusions: Findings provide evidence that females may be at a higher risk of developing anxiety symptoms, which could impact their academic performance. Likewise, the youngest students are an area of opportunity to be detected and channeled to specialized services on campus.