Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal power flow considering voltage stability with significant wind penetration

Voltage stability evaluation is one of the major issues in the power system operation and control. One reason is that there is an enormous number of voltage collapses which frequently occurs. The principal objective of this thesis is to choose appropriate criteria for voltage stability evaluation in optimal power flow (OPF) approach considering the worst contingency or the congested condition. Voltage stability can be affected by several elements and control ways which operate on different time scales. In particular, the role of wind power generation, demand response (DR), over excitation limiter (OXL), energy storage system (ESS) and on-load tap changer (OLTC) are significant. The proper modelling of these elements and control ways as well as using in an OPF approach should be analyzed in longterm voltage stability. First, an impedance-based (IB) index is presented in this thesis that can evaluate unstable behavior of the power system with doubly-fed induction generator (DFIG) wind farms integration. A model for DFIG capability curve limits is presented that can be integrated to the internal circuit of the generator. Furthermore, the OLTC model was added to this index. The index uses the concept of coupled single-port circuit. The OPF with new IB-index constraint is implemented to show the performance of the index. This study also introduces a multi-objective stochastic optimal power flow (SOPF) approach with the presence of uncertain wind power generations. The multi-objective SOPF investigates the operating cost, voltage stability and emission effects as the objective functions. The effect of the DR program is considered in this study. The fuzzification technique is used to normalize all objective functions in the multi-objective SOPF. A line voltage stability index (LVSI) is presented and compared with other LVSIs. The proposed multi-objective SOPF is also carried out with different existing LVSIs as the objective functions. Following the voltage stability assessment, the frequency control is also considered in the SOPF. In this case, the frequency restoration scheme cooperates with DR and spinning reserve to stop a frequency drop in contingency events. This scheme is defined in three levels. Furthermore, an extended-L (EL) index is used to evaluate voltage stability analysis. Several frequency and voltage constraints are added in the SOPF approach. The EL-index considers a generator equivalent model (GEM). In addition, energy storage systems (ESSs) are considered in this SOPF approach. Those approaches are analyzed in detail and they are tested and validated on several case studies. The results show that the proposed approaches operate successfully.
Factors Influencing Birth Preparedness and Complication Readiness among Post-Natal Women in Selected Primary Health Centers in Ibadan, Nigeria

Background: Birth preparedness and complication readiness is a strategic intervention to achieve a reduction in the rate of maternal mortality. However, despite the importance and ease of use of this intervention, it has been observed that several factors have hindered the practice. Hence, the need to consider the knowledge, attitude, practice, and factors that influences Birth preparedness and Complication readiness among post-natal women. Method: This descriptive cross-sectional study used a multi-stage sampling technique to select 116 post-natal women in selected primary health centers in Ibadan North Local Government Area, Oyo state. An adapted structured questionnaire was used to assess the knowledge, attitude, practice and factors influencing the practice of birth preparedness and complication readiness. Statistical analysis was done using Statistical Package for the social science (SPSS) version 21.0 software. Descriptive data were presented as frequency and percentages while the chi-square test was used to test the hypotheses at P value < 0.05. Result: The majority of respondents were highly knowledgeable (86.2%). The respondents had a positive attitude towards birth preparedness and complication readiness (75%). The practice level was high among the respondents (71.6%). However, the factors that influenced practice were lack of adequate knowledge (X2=4.578, P =0.032), pre-mature delivery (X2=19.929, P=0.000) and environmental insecurities (X2=6.556, P=0.010). Conclusion: There is a relationship between factors (lack of adequate knowledge, premature delivery and environmental insecurities) and the practice of birth preparedness and complication readiness. Hence, measures should be employed to address the identified factors to improve the practice of birth preparedness and complication readiness.
Envisioning Pre-service English teacher education in Colombia as political action

This reflective article explores the need to revise the education of pre-service English teachers to place critical and political dimensions as central components in the education of future teachers. The author presents a brief critical overview of some key historical events in Colombia that have taken place mainly during the last sixty years. Two national educational proposals that aim to promote peaceful human relations and knowledge of the country’s historically violent past (Cátedra para la Paz and Estándares de Competencias Ciudadanas) are also described. Two complementary approaches to English teacher education are discussed as possible alternatives to enacting teacher education from a political and critical stance (Teacher Education for Social Justice and Critical Teacher Education). Finally, three trends in English teaching and research in Colombia are described as a way to illustrate some of the ways in which different scholars have enacted English teaching as part of a political and critical endeavor. The author concludes that in order to contribute to a more just, equitable, and peaceful country, pre-service English teacher programs must prepare prospective teachers committed to a process of social, cultural, and political transformation of the local realities of Colombia.
Stabilization and strengthening effects of functional groups in two-dimensional titanium carbide

Two-dimensional (2D) materials have attracted considerable interest due to their remarkable properties and potential applications for nanoelectronics, electrodes, energy storage devices, among others. However, many well-studied 2D materials lack appreciable conductivity and tunable mechanical strength, limiting their applications in flexible devices. Newly developed MXenes open up the opportunity to design novel flexible conductive electronic materials. Here, using density functional theory (DFT), we investigate systematically the effects of several functional groups on the stabilization, mechanical properties, and electronic structures of a representative MXene. It is found that oxygen possesses the largest adsorption energy as compared to other functional groups, indicating its good thermodynamic stabilization. In comparison with bare and other functionalized titanium carbides, the oxygen functionalized one exhibits the most superior ideal strength; however, the premature softening of the long-wave phonon modes might limit the intrinsic strength for $\mathrm{T}{\mathrm{i}}_{3}{\mathrm{C}}_{2}{\mathrm{O}}_{2}$. Furthermore, the introduction of functional groups can induce a strong anisotropy under tensile loading. By analyzing the deformation paths and the electronic instability under various loadings, we demonstrate that the unique strengthening by oxygen functional groups is attributed to a significant charge transfer from inner bonds to outer surface ones after functionalization. Our results shed a novel view into exploring a variety of MXenes for their potential applications in flexible electronic and energy storage devices.
Remarks on the critical coupling strength for the Cucker-Smale model with unit speed

We present a non-trivial lower bound for the critical coupling strength to the Cucker-Smale model with unit speed constraint and short-range communication weight from the viewpoint of a mono-cluster(global) flocking. For a long-range communication weight, the critical coupling strength is zero in the sense that the mono-cluster flocking emerges from any initial configurations for any positive coupling strengths, whereas for a short-range communication weight, a mono-cluster flocking can emerge from an initial configuration only for a sufficiently large coupling strength. Our main interest lies on the condition of non-flocking. We provide a positive lower bound for the critical coupling strength. We also present numerical simulations for the upper and lower bounds for the critical coupling strength depending on initial configurations and compare them with analytical results.
Atmospheric boundary‐layer characteristics from ceilometer measurements. Part 1: A new method to track mixed layer height and classify clouds

The use of Automatic Lidars and Ceilometers (ALC) is increasingly extended beyond monitoring cloud base height to the study of atmospheric boundary layer (ABL) dynamics. Therefore, long‐term sensor network observations require robust algorithms to automatically detect the mixed layer height (ZML). Here, a novel automatic algorithm CABAM (Characterising the Atmospheric Boundary layer based on ALC Measurements) is presented. CABAM is the first non‐proprietary mixed layer height algorithm specifically designed for the commonly deployed Vaisala CL31 ceilometer. The method tracks ZML, takes into account precipitation, classifies the ABL based on cloud cover and cloud type, and determines the relation between ZML and cloud base height. CABAM relies solely on ALC measurements. Results perform well against independent reference (AMDAR: Aircraft Meteorological Data Relay) measurements and supervised ZML detection. AMDAR‐derived temperature inversion heights allow ZML evaluation throughout the day. Very good agreement is found in the afternoon when the mixed layer height extends over the full ABL. However, during night or the morning transition the temperature inversion is more likely associated with the top of the residual layer. From comparison with SYNOP reports, the ABL classification scheme generally correctly distinguishes between convective and stratiform boundary‐layer clouds, with slightly better performance during daytime. Applied to 6 years of ALC observations in central London, Kotthaus and Grimmond ( ), a companion paper, demonstrate CABAM results are valuable to characterise the urban boundary layer over London, United Kingdom, where clouds of various types are frequent.
HUMAN RESOURCES PLANNING AND ORGANIZATIONAL PERFORMANCE: TELECOMS IN FOCUS

The study examined the relationship between human resource planning and the organizational performance of telecom companies in Delta State. The objectives of the study were to; ascertain the relationship between workforce forecasting and organizational performance; determine the relationship between recruitment and selection and organizational performance; examine the relationship between employee training and development and organizational performance and determine the relationship between employee retention and organizational performance. The study employed a cross-sectional research design. A sample size of 169 was selected from the Human Resources executives of Telecom companies. Data collected through questionnaires were analyzed using descriptive statistics, correlation and multiple regressions. Results from the study revealed that there is a significant relationship between human resources planning (workforce forecasting, recruitment and selection, training and development and employee retention) and organizational performance. In line with the study, it was recommended that HR managers of telecom companies should align their HR planning with organizational goals and this planning should be evaluated from time to time. It also recommended that HR managers should put up measures to retain their skilled employees as this would enhance organizational performance Keywords: Human Resources Planning, Forecasting, Relationship, and Organizational Performance.
Non-Destructive In Vitro Evaluation of an Internal Adaptation of Recent Pulp-Capping Materials in Permanent Teeth Using OCT and Micro-CT

The objective of this study was to assess and compare the internal adaptation of various pulp-capping materials, namely TheraCal, Biodentine, and mineral trioxide aggregate (MTA), on the dentin of permanent teeth through the utilization of micro-computed tomography (MCT) and optical coherence tomography (OCT). Thirty permanent molars were divided into three groups using a random process: group A (TheraCal), group B (Biodentine), and group C (MTA, which served as the control group). On the buccal surface of each tooth, a class V cavity of a standardized cylindrical shape was prepared. Subsequently, the respective pulp-capping material was applied to the cavity based on the assigned group, followed by restoration with composite resin. Based on the MCT results, it was observed that group A had a considerably larger gap volume in comparison to groups B and C (p < 0.001). There was no significant difference in gap volume between groups B and C. Regarding the OCT findings, group A displayed a substantially higher level of light reflection than groups B and C (p < 0.001). Group C exhibited a significantly lower level of light reflection in comparison to group B (p < 0.001). Biodentine and MTA revealed similar outcomes in terms of how well they adhered to the dentinal surface in permanent teeth. Both materials exhibited superior performance in comparison to TheraCal. The utilization of OCT in clinical practice could be advantageous as it enables dentists to monitor and evaluate restorations during post-treatment follow-up. It is imperative to intensify efforts aimed at making OCT equipment more accessible and applicable, overcoming its current limitations, and allowing for its widespread utilization in clinical practice.
Saline versus Plasma Solution-A in Initial Resuscitation of Patients with Out-of-Hospital Cardiac Arrest: A Randomized Clinical Trial

Background: Although saline is commonly used during cardiopulmonary resuscitation (CPR) or post-cardiac arrest care, it has detrimental effects. This trial aimed to evaluate the efficacy of a balanced crystalloid solution (Plasma Solution-A [PS]) in out-of-hospital cardiac arrest (OHCA) patients and compare it with the efficacy of saline. Methods: A randomized, unblinded clinical trial was conducted using PS and saline for intravenous fluid administration during CPR and post-cardiac arrest care of non-traumatic OHCA patients admitted to the emergency department of a tertiary university hospital. Patients received saline (saline group) or PS (PS group) within 24 h of hospital arrival. The primary outcomes were changes in arterial pH, bicarbonate, base excess (BE), and chloride levels within 24 h. The secondary outcomes were clinical outcomes including mortality. Results: Of the 364 patients, data from 27 and 26 patients in the saline and PS groups, respectively, were analyzed. Analysis using a linear mixed model revealed a significant difference in BE change over time between the groups (treatment-by-time p = 0.044). Increase in BE and bicarbonate levels from 30 min to 2 h was significantly greater (p = 0.044 and p = 0.024, respectively) and the incidence of hyperchloremia was lower (p < 0.001) in the PS group than in the saline group. However, there was no difference in clinical outcomes. Conclusion: Use of PS for resuscitation resulted in a faster improvement in BE and bicarbonate, especially in the early phase of post-cardiac arrest care, and lower hyperchloremia incidence than the use of saline, without differences in clinical outcomes, in OHCA patients.
Spectrum-energy Correlations in GRBs: Update, Reliability, and the Long/Short Dichotomy

Spectrum-energy correlations of peak energy with total prompt γ-ray emission energies, namely E p , i − E iso , E p , i − E γ , and E p , i − L p , had been studied for long gamma-ray bursts (GRBs) previously by many authors. These energy correlations were proposed to measure the universe and classify GRBs as useful probes. However, most of these relations were built by non-Swift bursts. The spectrum-energy correlations of short bursts have not been systematically established yet; in particular, how the newly found GRB170817A matches these energy relations is unknown to date. We will first refresh the three spectrum-energy relations of Swift/BAT and Fermi/GBM long bursts and build the corresponding relations of short bursts. Then, we confirm whether they are commonly available as a discriminator of short and long GRBs. Some potential violators to these relations will be investigated. Combining with the plane of peak energy versus fluence, we select 31 short and 252 long GRBs with well-measured peak energy and redshift to study the issue of GRB classifications connected with the above energy relations statistically. We find that the three energy relations do exist in our new GRB samples and they are marginally consistent with some previous results. We report for the first time that short GRBs hold the three corresponding energy relations having the consistent power-law indices with long GRBs. It is found that these energy relations can be adopted to discriminate GRBs successfully if they are put in the peak energy versus fluence plane. Excitingly, we point out that GRB090510 matches the energy relations of E p , i − E iso and E p , i − L p , but violates the E p , i − E γ relation. More excitingly, we find that GRB170817A is an outlier to all the three energy correlations.
Segmented filamentous bacteria-based treatment to elicit protection against Enterobacteriaceae in Layer chickens

Introduction Gut microbes like segmented filamentous bacteria (SFB) play a key role in gut maturation during early life, as demonstrated in humans and mice. Our previous study demonstrated oral inoculation of ileum-spores containing SFB to chickens after hatch increases early SFB gut colonization, which increases immune maturation and resistance to bacteria, like Salmonella, as tested in vitro; however, more studies are needed for treatment optimization and in vivo testing. The objectives of this study were to (1) test a treatment that includes both spores and filamentous SFB, (2) validate antimicrobial ability of the treatment in layer hens in vivo, and (3) elucidate its molecular mechanism. Methods One-day-old specific pathogen-free layers (n = 12 per group) were orally treated with either PBS (CON) or SFB-based treatment (SFB). At 4 days post-inoculation (DPI), both CON and SFB groups were orally challenged with Salmonella Typhimurium. Total Enterobacteriaceae and Salmonella were examined by plating and enumeration in feces at 7,10 and 14 dpi; and in the ileum, cecum, and spleen at 16 dpi in euthanized birds. The presence and levels of SFB were determined from ilea scrapings via microscopy and qPCR, respectively. Relative gene expression of host-derived antimicrobial peptides and cytokines in the distal ileum was determined by RT-qPCR. Results At 10 and 14 dpi, a significant decrease in total Enterobacteriaceae was observed in the feces of the SFB group. At necropsy, the level of SFB was significantly higher in the SFB group than in the CON group, while a significant decrease in total Enterobacteriaceae and Salmonella was observed in the ceca of the SFB group. RT-qPCR revealed increased expression of β-defensin 14, and cytokines IL-10 and IFNγ. Discussion The introduction of SFB at hatch as a prophylactic treatment may benefit commercial partners as well as consumers by reducing the incidence of Enterobacteriaceae in food animals. Reduction of these bacteria in animals would, in turn, increase animal health, productivity, and safety for consumers. Studies to optimize the treatment for poultry industry applications are ongoing in our lab.
Correlation between linear speed, change of direction speed and dribble deficit in male handball players

The aim of this study was to determine the relationship between linear sprint and change of direction (COD) speed using the novel approach of the Dribble Deficit (DD) among professional handball players. This study included 14 male professional handball players (age = 23.1 ± 3.43). Each player performed the following tests: a 10, 20 and 30 meter linear sprint; a zig-zag test; a slalom test and 4 × 5 agility test with and without a ball. A significant correlation was found between the DD at 10 m and the 10 m sprint with the ball (p < 0.05, r = 0.575). Additionally, the results showed that the values of dribble deficit during slalom test were related (p < 0.01) to the 20-m sprint with the ball (r = 0.767), the 30-m sprint with a ball (r = 0.765) and the slalom with a ball (r = 0.938). Regression analyses showed significant influence of the linear sprint at 10 m on DD (p = 0.02, R2 = 0.373), and the zig-zag test without ball on the DD (p = 0.004, R2 = 0.514). The results suggest that the linear sprint and zig-zag test used to evaluate COD movement speed are associated with and influence DD in professional handball players. Further research on DD is necessary in order to determine that DD is not influence by physical performance and how we can use it in the future to calculate the time required for dribbling.
A Deep Learning Approach for Forecasting Air Pollution in South Korea Using LSTM

Tackling air pollution is an imperative problem in South Korea, especially in urban areas, over the last few years. More specially, South Korea has joined the ranks of the world's most polluted countries alongside with other Asian capitals, such as Beijing or Delhi. Much research is being conducted in environmental science to evaluate the dangerous impact of particulate matters on public health. Besides that, deterministic models of air pollutant behavior are also generated; however, this is both complex and often inaccurate. On the contrary, deep recurrent neural network reveals potent potential on forecasting out-comes of time-series data and has become more prevalent. This paper uses Recurrent Neural Network (RNN) with Long Short-Term Memory units as a framework for leveraging knowledge from time-series data of air pollution and meteorological information in Daegu, Seoul, Beijing, and Shenyang. Additionally, we use encoder-decoder model, which is similar to machine comprehension problems, as a crucial part of our prediction machine. Finally, we investigate the prediction accuracy of various configurations. Our experiments prevent the efficiency of integrating multiple layers of RNN on prediction model when forecasting far timesteps ahead. This research is a significant motivation for not only continuing researching on urban air quality but also help the government leverage that insight to enact beneficial policies