Miracle-dz/UniFAR-FTUs huggingface dataset:
Demo: General Purpose Overlay Network Using Sidecar Model in Presence of Intermittent Links with Monitoring

We have been working to create a novel and practical software infrastructure to enable networking researchers to develop, evaluate, and demonstrate networked systems, services, and protocols using modern real-world devices and platforms. As a first demonstration of this, we will show an Envoy sidecar overlay network supporting smartphone requested web traffic over a network with intermittent links with real time network monitoring and audience participation.
Interplay of Management Communication Pattern and Organizational Commitment: Implication on Selected Research Institutes in Southwestern Nigeria

The study examined the relationship between management communication patterns and organizational commitment in three selected research institutes in Southwestern Nigeria. Multi-stage random sampling technique was used to select 198 (15%) respondents from 1,344 employees from the three organizations. Structured questionnaires with a Cronbach Alpha coefficient of 0.79 was used to collect data on the socioeconomic characteristics of the respondents. Pearson Correlation, linear regression and analysis of variance were used to test the hypotheses. Results revealed that the trends of communication patterns in the study organizations were horizontal (x-=3.87) followed by upward (x=3.31), downward (x=3.16), and diagonal communication patterns (x. The most constraints to the communication process were status difference (x= 3.53),poor listening skills (x=3.48) and information overload (x=3.41). Employees were normatively (x=3.43) committed to the organization followed by continuance commitment (x=3.21) and affective commitment (x=3.19). In the tested hypotheses, the results of correlation analysis revealed a significant but negative relationship between family size (r=-0.20, p), the pattern of organizational communication (r=0.00p; and employees' commitment to the organization. Analysis of Variance (ANOVA) revealed a significant difference (F=0.65) in the pattern of communication operated in different institutes selected for this study, with the specific valves of NIHORT (x=67.62), FRIN (x=66.19 and IAR&T (65.99) respectively. It is concluded that patterns such as horizontal, upward, and downward communication in the study institutes have enhanced the commitment of the employees to their respective institutes. The organization is therefore recommended to improve on the diagonal pattern of communication to improve task-related and periodic report processes in various departments. Lastly, the organization should rectify constraints to the communication process like status differences, employees’ poor listening skills, inadequate trust, and information overload.
Nitrogen-Doped Graphene Materials with High Electrical Conductivity Produced by Electrochemical Exfoliation of Graphite Foil

Nitrogen-doped graphene-based materials are of utmost importance in sensing and energy conversion devices due to their unique physicochemical properties. However, the presence of defects such as pyrrolic nitrogen and oxygenated functional groups reduces their electrical conductivity. Herein, a two-step approach based on the electrochemical exfoliation of graphite foils in aqueous mixed electrolytes followed by thermal reduction at 900 °C is used to prepare high-quality few layers of N-doped graphene-based materials. The exfoliations were conducted in 0.1 M (NH4)2SO4 or H2SO4 and HNO3 (5 mM or 0.1 M) electrolytes mixtures and the HNO3 vol% varied. Chemical analysis demonstrated that the as-prepared graphene oxides contain nitro and amine groups. Thermal reduction is needed for substitutional N-doping. Nitrogen and oxygen surface concentrations vary between 0.23–0.96% and 3–8%, respectively. Exfoliation in (NH4)2SO4 and/or 5 mM HNO3 favors the formation of pyridinic-N (10–40% of the total N), whereas 1 M HNO3 favors the formation of graphitic-N (≈60%). The electrical conductivity ranges between 166–2705 Scm−1. Raman spectroscopy revealed a low density of defects (ID/IG ratio between 0.1 and 0.7) and that most samples are composed of mono-to-bilayer graphene-based materials (IG/I2D integrated intensities ratio). Structural and compositional stability of selected samples after storage in air for three months is demonstrated. These results confirm the high quality of the synthesized undoped and N-doped graphene-type materials.
Effectiveness of Distal Radial Locking Plate Fixation in Managing Unstable Distal Radial Fracture

: Background: Unstable distal radial fractures pose a significant clinical challenge due to the complexity of their management and the potential for long-term functional impairment. Traditional treatment approaches have shown limitations in achieving optimal stabilization and restoration of wrist function. The emergence of distal radial locking plate fixation presents a promising solution, offering improved stability and reduced rates of complication. Aim of the Study: This study aimed to assess the effectiveness of distal radial locking plate fixation as a management strategy for unstable distal radial fractures. Methods: This quasi-experimental study was conducted in the Department of Orthopedics and Traumatology, Chattogram Medical College Hospital, Chattogram, Bangladesh, spanning from June 2017 to July 2019. A total of 25 patients diagnosed with unstable distal radial fractures who underwent distal radial locking plate fixation were enrolled as participants in this study. Results: In this study, participants had a mean operative time of 92.80 ± 21.70 minutes, with the majority (80%) undergoing procedures lasting between 80 to 120 minutes. Analysis of complications revealed that 32% experienced soft tissue infections, and an equal number encountered delayed union of fractures. Wrist stiffness, affecting 56% of participants, was a common issue. Radiological union spanned 12 to 16 weeks for 71% of cases, while 29% required 22 to 26 weeks, with a mean ±SD time of 16.67 ± 5.26 weeks. Using the Quick DASH Score system, outcomes were favorable, with 52% achieving a 'good' outcome, 35% an 'excellent' outcome, and 13% attaining 'fair' results. Conclusion: The utilization of distal radial locking plate fixation proves to be a valuable management strategy for addressing unstable distal radial fractures. This study revealed favorable trends in operative duration and postoperative outcomes. Radiological union exhibited variability, showcasing the adaptability of this technique. These findings collectively support the effectiveness of distal radial locking plate fixation in effectively managing unstable distal radial fractures.
Deep Q-Learning for Minimum Task Drop in SWIPT-Enabled Mobile-Edge Computing

In this letter, we study mobile-edge computing (MEC) systems empowered with simultaneous wireless information and power transfer (SWIPT). This holds promise to meet the growing energy and computation requirements of the Internet of Things devices. To cope with the network dynamics and limited resources causing task drops, we propose a deep Q-learning computation offloading algorithm for SWIPT-enabled MEC. We formulate an optimization problem to calculate the reward for offloading decisions and penalize the task drop in order to minimize it in the long term. Simulation results demonstrate a three-fold reduction in task drop compared to an existing work.
Psychosocial Factors Associated with Lower Urinary Tract Symptoms One Year Postpartum

Pregnancy carries substantial risk for developing lower urinary tract symptoms (LUTSs), with potential lifelong impacts on bladder health. Little is known about modifiable psychosocial factors that may influence the risk of postpartum LUTSs. We examined associations between depressive symptoms, perceived stress, and postpartum LUTSs, and the moderating effects of perceived social support, using data from a cohort study of Expect With Me group prenatal care (n = 462). One year postpartum, 40.3% participants reported one or more LUTS. The most frequent LUTS was daytime frequency (22.3%), followed by urinary incontinence (19.5%), urgency (18.0%), nocturia (15.6%), and bladder pain (6.9%). Higher odds of any LUTS were associated with greater depressive symptoms (adjusted odds ratio (AOR) 1.08, 95% confidence interval (CI) 1.04–1.11) and perceived stress (AOR 1.12, 95% CI 1.04–1.19). Higher perceived social support was associated with lower odds of any LUTS (AOR 0.94, 95% CI 0.88–0.99). Perceived social support mitigated the adverse effects of depressive symptoms (interaction AOR 0.99, 95% CI 0.98–0.99) and perceived stress (interaction AOR 0.97, 95% CI 0.95–0.99) on experiencing any LUTS. Greater depressive symptoms and perceived stress may increase the likelihood of experiencing LUTSs after childbirth. Efforts to promote bladder health among postpartum patients should consider psychological factors and social support.
Embracing the Digital Era: Unveiling Potential through the Independent Learning Curriculum in VHS Education

This study aims to dig up information about the independent curriculum, especially in learning computer and telecommunications network techniques in Vocational High School (VHS). This research method uses qualitative methods. Data collection techniques used are observation and interviews. The information obtained is processed and analyzed through several stages, including data reduction, presentation, and conclusion. The study results show that the implementation of the independent curriculum in learning communication and telecommunication network techniques is carried out following the Independent Curriculum Implementation policy from the Ministry of Education, Research and Technology, Indonesia. However, its implementation still needs to be comprehensive. The school needs help learning communication and telecommunications network techniques per the independent curriculum due to a lack of teacher competency and weak infrastructure support. The school has difficulty developing learning methods that create a working atmosphere in the industry so that students can be enthusiastic about participating in the learning process in computer network engineering and telecommunications.
Carbon composite of NiO hydrothermal impregnation from sugarcane bagasse and its electrochemical properties

Sugarcane bagasse (SB) can synthesize activated carbon (AC) through a two-step calcination process at calcination at 400oC and activation at 800oC. NaOH 0.1 M is used to activate the pre-carbonized sample in the activation step. The AC samples undergo hydrothermal impregnation with nickel oxide (NiO) at 110°C. The X-ray diffraction (XRD) pattern and Energy dispersive X-ray spectroscopy (EDX) confirmed the presence of NiO after this process. Scanning Electron Microscope (SEM) indicates the presence of pore structures in the sample morphology. A three-electrode system with 1 M Na2SO4 as an electrolyte was employed to assess the electrochemical properties. The specific capacitance for activated carbon derived from SB stands at 89.53 F/g at 0.05 A/g current density, while after impregnation with NiO, it increases to 250.53 F/g at the same current density. The results demonstrate the possibility of activated carbon from sugarcane bagasse waste composited with NiO as supercapacitor electrodes.
Programming Self-Efficacy in Higher Education Research: A Systematic Literature Review

The goal of the systematic literature review (SLR) was to provide an overview of the concepts and factors associated with programming self efficacy (PSE) from 2017 to 2021 in Scopus (215) and the Web of Science (310) academic indexes. From the initial 525 articles identified, 405 were left after duplication identification. Using further criteria such as article years must be between 2017 and 2021 in English, and through a peer-review process, 60 remained. These 60 papers were then analyzed using a set of questionnaires, from which 36 articles were excluded. Finally, 24 articles were selected for further analysis and to answer the study’s research questions. Results revealed that student success in information communication technology (ICT) and computer programming courses was from making the learners aware of their programming abilities. Therefore, higher education (HE) institutions should be encouraged to review learners’ abilities in programming and their related perceptions. Finally, institutions should create a relevant learning strategy using tools appropriate for improving education quality.
An experimental study of a plane turbulent wall jet on smooth and rough surfaces

This study presents an experimental investigation of incomplete similarity and the effect of surface roughness on a plane turbulent wall jet on a hydraulically smooth, transitionally rough and fully rough surface based on a new set of particle image velocimetry (PIV) measurements. The focus is on examining the changes in the characteristics of the mean velocity field. Velocity measurements were taken along the centerline of the ground plane with seven fields of view (FOV) covering the entire streamwise extent, i.e. the inflow, developing and fully developed regions. In each FOV, 2,000 and 4,000 pairs of instantaneous PIV raw images were captured at a sampling frequency of 4 Hz for the smooth and rough surface cases, respectively. Four series of measurements were conducted: two series of measurements were taken on the smooth surface at two inlet flow rates corresponding to slot Reynolds numbers of 7,190 and 14,300, respectively; then the rough surface was installed and two series of measurements were taken at the same two inlet flow rates corresponding to slot Reynolds numbers of 6,660 and 13,400, which resulted in a transitionally rough and a fully rough flow condition, respectively. In-house PIV software was used to complete the cross-correlation analysis of the PIV images and the post-correlation rejection of outlier velocity vectors with a dynamic threshold neural network technique to obtain the mean and fluctuating velocity data. The results show that at the inlet boundary, the surface roughness decreases the mass flux near the wall due to the enhanced wall shear stress. In the initial developing region, which covers the first ten slot heights of streamwise distance, the enhanced wall friction associated with the rough surface shortens the potential core. The surface roughness causes the onset of the fully developed region to appear farther downstream on the rough surface than on the smooth surface. For the low flow rate (LFR) case on the rough surface, the roughness shift decreases monotonically with distance from the slot, which indicates that the effect of surface roughness on the mean velocity profile is decreasing. The profile fitting result for the fully rough case suggests that the value of von Karman’s constant κ in the logarithmic law may depend on the surface roughness. In the fully developed region, for the LFR case, the surface roughness enlarges the thicknesses of both the outer and inner layers, though this effect is much more significant for the inner layer than for the outer layer. This is also observed for the high flow rate (HFR) case, but with a much more noticeable effect of surface roughness. The surface roughness increases the spread rate of the inner layer significantly and penetrates into the outer layer, although the impact is much less for the outer layer. For the LFR case, while in general the surface roughness tends to increase the streamwise growth rate of the inner and outer half-widths, the magnitude of this effect becomes stronger as the wall-normal distance to the surface…
Promoting Adherence to Best Practice Related to Urine Reflex to Culture Testing

Over a two week period, the infection control nurse, from a trauma designated facility located in norther California, planned a practice improvement project in collaboration with the laboratory microsystem to educate referring physicians and increase adherence to the Centers for Disease Control (CDC) protocol, which delineates recommended best practices related to urine reflex to culture testing. Urinalysis (UA) is a test that triggers a reflex urine culture when pyuria is present. Frequent urine culturing without the presence of pyuria can cause unnecessary treatment with antimicrobials. From January 2017 to December 2017, 10% of UAs from 200 urine samples from asymptomatic patients yielded the presence of a microorganism, necessitating antimicrobial treatment. A single center study applied a best practice and used a reflex urine culture protocol that prompted the laboratory staff to perform a UA followed by a urine culture if pyuria (WBC >10/HPF) was present. Currently, the facility’s laboratory uses WBC >5/HPF as a criterion. To gain physician support over a 2-week period, 25 physicians were educated using a flowchart that defines the new clinical and pyuria criteria (Appendix A). The long-term goal is to ensure that the number of urine cultures triggered by the new pyuria value aligns with Urinary Tract Infection (UTI) symptomatology, which consequently reduce unnecessary antimicrobial treatment. The project resulted in referring physicians’ engagement and adoption of the CDC protocol and agreement to monitor the number of reflex urine tests prospectively and analyze patterns that triggered treatment with antimicrobials of asymptomatic patients over a six month period.
Topological data analysis of the firings of a network of stochastic spiking neurons

Topological data analysis is becoming more and more popular in recent years. It has found various applications in many different fields, for its convenience in analyzing and understanding the structure and dynamic of complex systems. We used topological data analysis to analyze the firings of a network of stochastic spiking neurons, which can be in a sub-critical, critical, or super-critical state depending on the value of the control parameter. We calculated several topological features regarding Betti curves and then analyzed the behaviors of these features, using them as inputs for machine learning to discriminate the three states of the network.
Estimating impervious surfaces by linear spectral mixture analysis under semi-constrained condition A Case Study in Fujin County, Heilongjiang Province, China

Impervious surface played an important role in monitoring urban sprawl and understanding human activities. Linear spectral mixture analysis (LSMA) is commonly used to estimate impervious surface due to its simple structure and clear physical meaning. But previous researches found that LSMA seems to overestimate slightly impervious surface fraction in less developed areas (0–20%), while underestimating it in the central business district (CBD) (over 80%). This paper using LSMA model, under fully constrained and semi-constrained condition, developed impervious surface of Fujin town, Heilongjiang Province from the Landsat Thematic Mapper (TM) image. Accuracy evaluation was estimated between town and rural areas under the two different constraints. The results indicated that impervious surface developed by four endmembers(high albedo, low albedo, soil, and vegetation) under fully constrained and semi-constrained conditions overestimated slightly in less developed areas. Impervious surface developed by three endmembers (high albedo, soil, and vegetation) under semiconstrained condition provided a fine performance with a RMS reduced from 19.79% to 17.73%.
Maximizing the Potential of Multimedia in Indonesia: Enhancing Engagement, Accessibility, and Learning Outcomes

The COVID-19 pandemic compelled educational institutions to swiftly shift from conventional classroom instruction to remote and hybrid learning models, prompting the widespread adoption of digital tools and mobile apps for online education. As the world emerges from this crisis, there's a growing interest in exploring innovative ways to utilize multimedia tools for improved engagement, accessibility, and learning outcomes. Multimedia encompasses diverse content formats, including videos, interactive simulations, and online collaboration tools, offering various avenues to enhance the process of teaching and learning. This research paper investigates the role of multimedia tools in education, focusing on their utilization, and the challenges and barriers associated with their integration into classroom settings within the Jakarta District of Indonesia's higher education sector. Qualitative research methods were employed, involving interviews, observations, and documentation analysis conducted at a higher education institution in Bekasi District, Indonesia. Interviews were conducted with the educators (providing learning materials). The study discovered that the incorporation of multimedia tools, such as images, videos, animations, and interactive platforms like Kahoot, enhances students' focus, interest, and engagement, consequently improving memory retention and comprehension. The research also identified various challenges in successfully incorporating multimedia tools into the field of education, including resource limitations, digital literacy gaps, connectivity issues, lecturer's unfamiliarity with technology, lack of motivation, inadequate digital tools, subscription costs, quality concerns, and potential distractions. The paper offers practical recommendations for successful multimedia integration in classrooms, emphasizing clear guidelines, brief video content, specific tasks for students, thought-provoking questions, early material distribution, and guidance in using ICT.
A Comparative Analysis Of Logistic Regression and K-Nearest Neighbors Algorithms In Diagnosis Of Diabetes

Machine Learning techniques have gained prominence in medical diagnosis due to their ability to uncover patterns in complex data-sets, thereby giving accurate disease classification. In this study, we mainly focus on the application of two widely used Machine Learning algorithms, Logistic Regression and K-Nearestneighbors( KNN), for the purpose of distinguishing patients with diabetes from those without. Our research aims to shed light on the comparative accuracy and performance of these algorithms in a medical context. The methodology section outlines experimental setup, detailing data processing, algorithm training and testing procedures. A comprehensive data-set comprising medical attributes is utilized for evaluation and accuracy metrics are employed to quantify the performance of the algorithms. Results has shown efficacy of both the algorithms and our findings showcase the strengths and limitations of each approach, contributing on the applicability in medical decision making. By offering a nuanced comparison, we illuminate a path for more robust and accurate disease identification techniques, further enhancing patient care and medical outcomes. GANIT J. Bangladesh Math. Soc. 43.1 (2023) 01- 07
SMART: dissipative absorbing layer technique for general elastodynamics equations. Application as S-waves filter in acoustic TI media.

Seismic imaging methods such as FullWaveform Inversion (FWI Virieux and Operto [38], M´etivier et al. [30, 28]) or Reverse Time Migration (RTM Baysal et al. [6]) require accurate modeling engines for the propagation of seismic waves in infinite or semi-infinite media. To this end, the use of efficient absorbing boundary conditions is mandatory. Moreover, one should be sure that the modeling engine will provide always an answer at each iteration of the inversion and of the migration. The stability is, therefore, a very important property of absorbing conditions.