Miracle-dz/UniFAR-FTUs huggingface dataset:
CLINIC IMAGE AND PATIENT VISITS: THE SERVICE-DIGITAL MARKETING CONNECTION

This study aims to investigate how the quality of service and digital marketing affect patients' interest in visiting a clinic, both directly and indirectly, with the clinic's reputation playing a middle role. The study involved 3,574 patients at the Aka Medical Center Primary Clinic in 2022, and 100 of them were surveyed for this research, which used statistical methods to analyze the data. Before the analysis, the researchers checked the accuracy and reliability of the survey. Then, they examined the collected data using statistical tests. The results show that the quality of service and digital marketing significantly influence patients' interest in visiting the clinic, both directly and through the clinic's reputation. This means that when the clinic provides excellent service and uses effective digital marketing, it boosts its reputation, which, in turn, attracts more patients.
Electronic Document and Records Management System (EDRMS) Implementation in a Developing World Context: Case of Botswana

This chapter presents a case study of back-end information system implementation geared towards encouraging e-Government development in Botswana. The case is an in depth analysis of the implementation of the Electronic Document and Records Management System (EDRMS) at the Ministry of Trade and Industry (MTI). The focus of this chapter is two-fold: 1) it highlights the factors that influence the adoption and usage of EDRMS by Action Officers and Records Officers at MTI and correspondingly outline EDRMS’ facilitatation of information access in the realm of e-Government; and 2) aims to understand the initiatives that have been implemented to facilitate robust e-Government development in the public sector of Botswana. This chapter culminates from a pilot that was done prior to an on-going study hinged on unison objectives. The indicative list of factors explaining the adoption of EDRMS might explain the global perception of ICTs in the public sector in Botswana. The limitation of the study is that its sample space may not be representative of the actual situation in Botswana’s public sector given the heterogeneity in different line ministries and departments. Therefore, the results from this study might not guarantee statistical generalizations. The chapter is hinged on extensive literature reviews compounded by anecdotal evidence. This focus is novel because it aims to understand adoption and usage of ICT
Extracellular molecular signals shaping dendrite architecture during brain development

Proper growth and branching of dendrites are crucial for adequate central nervous system (CNS) functioning. The neuronal dendritic geometry determines the mode and quality of information processing. Any defects in dendrite development will disrupt neuronal circuit formation, affecting brain function. Besides cell-intrinsic programmes, extrinsic factors regulate various aspects of dendritic development. Among these extrinsic factors are extracellular molecular signals which can shape the dendrite architecture during early development. This review will focus on extrinsic factors regulating dendritic growth during early neuronal development, including neurotransmitters, neurotrophins, extracellular matrix proteins, contact-mediated ligands, and secreted and diffusible cues. How these extracellular molecular signals contribute to dendritic growth has been investigated in developing nervous systems using different species, different areas within the CNS, and different neuronal types. The response of the dendritic tree to these extracellular molecular signals can result in growth-promoting or growth-limiting effects, and it depends on the receptor subtype, receptor quantity, receptor efficiency, the animal model used, the developmental time windows, and finally, the targeted signal cascade. This article reviews our current understanding of the role of various extracellular signals in the establishment of the architecture of the dendrites.
Pharmacological or genetic inhibition of LTCC promotes cardiomyocyte proliferation through inhibition of calcineurin activity

Summary Cardiomyocytes (CMs) lost during ischemic cardiac injury cannot be replaced due to their limited proliferative capacity, which leads to progressive heart failure. Calcium (Ca2+) is an important signal transducer that regulates key cellular processes, but its role in regulating CM proliferation is incompletely understood. A drug screen targeting proteins involved in CM calcium cycling in human embryonic stem cell-derived cardiac organoids (hCOs) revealed that only the inhibition of L-Type Calcium Channel (LTCC), but not other Ca2+ regulatory proteins (SERCA or RYR), induced the CM cell cycle. Furthermore, overexpression of Ras-related associated with Diabetes (RRAD), an endogenous inhibitor of LTCC, induced CM cell cycle activity in vitro, in human cardiac slices, and in vivo. Mechanistically, LTCC inhibition by RRAD induces the cell cycle in CMs by modulating calcineurin activity and translocating Hoxb13 to the CM nucleus. Together, this represents a robust pathway for regenerative strategies.
Water Mist Suppression in a Turbulent Line Burner

Title of Thesis: WATER MIST SUPPRESSION IN A TURBULENT LINE BURNER Elizabeth Cyler Keller, Master of Science, 2016 Thesis Directed By: Associate Professor André W. Marshall, Ph.D., Department of Fire Protection Engineering An experimental study of water mist fire suppression in a buoyant, turbulent diffusion flame is presented. An existing turbulent line burner facility was modified to allow for water mist suppression. These modifications include streamlining the oxidizer delivery system, facility improvements to increase mist generation efficiency, as well as the addition of a mist containment system and an enhanced exhaust flow to homogenize the water mist in the flame region and reduce secondary flows. Following these improvements, the capabilities of the water mist generation system were characterized both using a classical mass balance approach and using more modern advanced diagnostic techniques. The turbulent line burner facility fitted with the water mist improvements were applied to suppress a 50 kW methane flame. Species-based calorimetry was used to evaluate the global heat release rate and combustion efficiency to evaluate suppression behavior. Detailed local measurements of flame temperature were also performed and provide a useful data set for the evaluation of flame suppression response and for the validation of CFD fire models. WATER MIST SUPPRESSION IN A TURBULENT LINE BURNER
Concordance between ARISCAT risk score and cardiopulmonary exercise test values in risk prediction of postoperative pulmonary complications of major abdominal surgeries in a tertiary cancer hospital: A cross‐sectional study

Pulmonary complications are common after surgery. They include vascular thrombosis, pneumonia, respiratory failure (RF), and pain‐related atelectasis. There are a number of models to predict the risk of postoperative respiratory events other than thrombosis. The aim of this study was to explore the correlation of assess respiratory risk in surgical patients in Catalonia (ARISCAT) scoring and cardiopulmonary exercise test (CPET) values in prediction of postoperative pulmonary complications (PPCs).
Improved Quantification of MicroPET/CT Imaging Using CT-derived Scaling Factors

Purpose Combined micro-PET/CT scanners are widely employed to investigate models of brain disorders in rodents using PET-based coregistration. We examined if CT-based coregistration could improve estimates of brain dimensions and consequently estimates of nondisplaceable binding potential (BPND) in rodent PET studies. Procedures PET and CT scans were acquired on 5 female and 5 male CD-1 mice with PET and CT scans were acquired on 5 female and 5 male CD-1 mice with 3-[18F]fluoro-5-(2-pyridinylethynyl)benzonitrile ([18F]FPEB), a radiotracer for the metabotropic glutamate receptor subtype 5 (mGluR5). In the proposed PET/CT (PTCT) approach, the tracer-specific standard volume was dimension-customized to each animal using the scaling factors from CT-to-standard CT coregistration to simplify PET-to-standard PET coregistration (i.e., 3 CT- and 6 PET-derived parameters). For comparison, conventional PET-based coregistration was performed with 9 (PT9) or 12 (PT12) parameters. PET frames were transferred to the standard space by the three approaches (PTCT, PT9, and PT12) to obtain regional time-activity curves (TACs) and BPND in 14 standard volumes of interest (VOIs). Lastly, CT images of the animals were transferred to the standard space by CT-based parameters from PTCT and with the scaling factors replaced with those from PET-based PT9 to evaluate agreement of the skull to the standard CT. Results The PET-based approaches showed various degrees of underestimations of scaling factors in the posterior-anterior-direction compared to PTCT, which resulted in negatively proportional overestimation of radioactivity in the cerebellum (reference region) up to 20%, and proportional, more prominent underestimation of BPND in target regions down to −50%. The skulls of individual animals agreed with the standard skull for scaling factors from PTCT but not for the scaling factors from PT9, which suggested inaccuracy of the latter. Conclusions The results indicated that conventional PET-based coregistration approaches could yield biased estimates of BPND due to erroneous estimates of brain dimensions when applied to tracers for which the cerebellum serves as reference region. The proposed PTCT provides evidence of a quantitative improvement over PET-based approaches for brain studies using micro-PET/CT scanners.
Differences in Patient Experiences Among People From Ethnic Minority Backgrounds: A Comparative Analysis of HCAHPS Results

Patients from ethnic minority backgrounds often experience disparities in healthcare quality and outcomes. This study aimed to compare the patient-reported experiences of patients with limited English proficiency (LEP) to general patients in the Australian healthcare setting. The Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey was used to evaluate patient experiences from patients in a metropolitan public healthcare network, spanning three hospitals. Level of English proficiency was based on primary language spoken at home. To identify disparities in experience ratings between patients with LEP and the general cohort, independent t-tests were employed. Data was analysed from 2,291 patients, collected over a five-year period (2017–2022), with 490 patients identified as LEP (i.e. speaking a language other than English at home). Statistically significant differences were identified between the cohorts, with LEP patients rating their experiences higher in three areas: doctors listening carefully, doctors explaining in a way they could understand, and quietness at night. Conversely, patients with LEP scored lower in areas regarding nursing respect and responsiveness to call bells. Although patients with LEP had a more positive overall experience, this difference was not statistically significant. The findings indicate potential misalignment between the often poorer health outcomes among people from ethnic minority backgrounds and their experiences in hospital. Additional research is crucial to delve into the unique experiences of ethnic minority patients, including those with LEP, to understand the differences influencing perceptions of care and contributing to disparities in health outcomes.
Olfactory system-inspired electronic nose system using numerous low-cost homogenous and hetrogenous sensors

This paper presents an electronic nose system inspired by the biological olfactory system. When comparing the human olfactory system to that of a dog, it’s worth noting that dogs have 30 times more olfactory receptors and three times as many types of olfactory receptors. This implies that the number of olfactory receptors could be a more important parameter for classifying chemical compounds than the number of receptor types. Instead of using expensive precision sensors, the proposed electronic nose system relies on numerous low-cost homogeneous and heterogeneous sensors with poor cross-interference characteristics due to their low gas selectivity. Even if the same type of sensor shows a slightly different output for the same chemical compound, this variation becomes a unique signal for the target gas being measured. The electronic nose system comprises 30 sensors, the e-nose had 6 differing sensors with 5 replicates of each type. The characteristics of the electronic nose system are evaluated using three different volatile alcoholic compounds, more than 99% of which are the same. Liquid samples are supplied to the sensor chamber for 60 seconds using an air bubbler, followed by a 60-second cleaning of the chamber. Sensor signals are acquired at a sampling rate of 100 Hz. In this experimental study, the effects of data preprocessing methods and the number of sensors of the same type are investigated. By increasing the number of sensors of the same type, classification accuracy exceeds 99%, regardless of the deep learning model. The proposed electronic nose system, based on low-cost sensors, demonstrates similar results to commercial expensive electronic nose systems.
Anticoagulation for atrial fibrillation after intracranial hemorrhage: A systematic review

Background We summarize the existing evidence on the potential benefit of oral anticoagulation (OAC) in intracerebral hemorrhage (ICH) survivors with nonvalvular atrial fibrillation (NVAF). Methods Systematic review of the literature to address the following issues: (1) prevalence of NVAF in ICH survivors, (2) current prescription of OAC, (3) factors associated with resumption of OAC, (4) risk of ischemic stroke (IS) and recurrent ICH, and (5) ideal timing for restarting OAC in ICH survivors with NVAF. Results After screening 547 articles, 26 were included in the review. Only 3 focused specifically on patients with ICH as primary event, NVAF as indication for OAC, and recurrent ICH and IS as primary endpoints. In addition, 19 letters to the editor/reviews/editorials/experts' surveys/experts' opinion were used for discussion purposes. Conclusions NVAF is highly prevalent among ICH survivors. The risks of IS, recurrent ICH, and mortality are heightened in this group. Most published data show a net benefit in terms of IS prevention and mortality when anticoagulation is restarted. However, those studies are observational and mostly retrospective, therefore selection bias may play a major role in the results observed in these cohorts. Only randomized controlled trials, either pragmatic or explanatory, can provide more conclusive answers for this important clinical question.
Apolipoprotein E-ε4 genotype predicts a poor outcome in survivors of traumatic brain injury

Objective: To determine the ability of apolipoprotein E (APOE) genotypes to predict days of unconsciousness and a suboptimal functional outcome in traumatic brain injury (TBI) survivors. Background: TBI is known to be associated with neuropsychological deficits and functional disability. Recent evidence indicates that APOE plays a pivotal role in CNS response to injury. Methods: In this prospective study the authors determined the APOE genotypes and tested their ability to predict days of unconsciousness and functional outcome after at least 6 months in 69 survivors of TBI. A good functional outcome was defined as no dysarthria, behavioral abnormalities, or dysphasia; no severe cognitive abnormalities; and the ability to live independently. Results: The odds ratio of more than 7 days of unconsciousness was 5.69 in those with the APOE-ε4 allele compared with those without the ε4 allele (95% CI, 1.69 to 20.0; p = 0.001). Only 1 of 27 subjects (3.7%) with the ε4 allele had a good functional outcome compared with 13 of 42 (31.0%) of those without the ε4 allele (p = 0.006). The OR of a suboptimal outcome (fair or unfavorable) was 13.93 for those with the ε4 allele compared with those without the allele after controlling for age and time of unconsciousness (95% CI, 1.45 to 133.97; p = 0.02). Conclusion: The results demonstrate a strong association between the APOE-ε4 allele and a poor clinical outcome, implying genetic susceptibility to the effect of brain injury. Additional studies of TBI patients are warranted to confirm their findings.
Influencia de la presencia de personas en sistemas de posicionamiento indoor mediante Wi-Fi fingerprinting

El creciente interés que se observa en la actualidad por las tecnologías de localización de dispositivos móviles se ve respaldado por la gran demanda de servicios basados en localización en diferentes áreas como industria y transporte, servicios sanitarios y de emergencia, logística, gestión de seguimientos, servicios de activación automática, información de tráfico y turismo, etc. Estas demandas se unen al uso masivo de las comunicaciones inalámbricas y los dispositivos móviles, lo que permite la expansión de dichos servicios. Si bien, actualmente se encuentran funcionando varios tipos de sistemas de localización indoor, la mayoría son vunerables a las variaciones en el número de personas presentes. Tanto las mediciones de la radiación Wi-Fi como las del campo magnético presentan problemas. En el caso de la radiación Wi-Fi, el cuerpo humano la absorbe y su potencia varía según el número de aparatos conectados y de personas presentes, por su parte, en el campo magnético se obtienen medidas similares en puntos diferentes, es decir, existe poca variabilidad local aunque la presencia humana no afecta sensiblemente a las medidas del campo magnético. En este trabajo se han utilizado y adaptado dos sistemas de posicionamiento indoor, uno para cada tipo de tecnología, para poder medir y analizar la forma en que se comporta la localización en un ambiente donde varía mucho la cantidad de personas presentes, específicamente el patio de comidas de un centro comercial. Se analiza si se puede utilizar un sistema de localización basado en campo magnético como backup de un sistema basado en Wi-Fi fingerprinting cuando una gran cantidad de personas está presente. Se realizó un trabajo de campo de 11 días con el cuál se pudo concluir que el campo magnético no ofrece una suficiente variabilidad para actuar de respaldo del Wi-Fi fingerprinting. Para paliar el efecto negativo de la absorción de las ondas por parte del cuerpo de las personas presentes cuando se utiliza un sistema de localización basado en Wi-Fi fingerprinting es necesario establecer el valor del parámetro k del algoritmo KNN (k-vecinos más cercanos) a 11. Palabras Claves: sistemas de localización, Wi-Fi, campo magnético, KNN, fingerprinting
Load Forecasting in Mageta Island Microgrid System, Kenya, with a 5 kW Peak Load using Artificial Neural Network

— This paper presents an artificial neural network (ANN) algorithm for load forecasting in a small island community microgrid, in Lake Victoria in Kenya, with a peak load of less than 5kW. The aim is to investigate the suitability of neural networks for forecasting in small power installations. The paper aims to strip down the amount and variety of data used for forecasting. Only historical load data is used with the days divided into weekdays and weekends. Feed-forward ANN and the Levenberg-Marquardt algorithm is used. The results suggest that this historical data is sufficient to provide an acceptable 24-hr ahead forecast. This approach is significant in that various weather forecasts such as temperature and humidity may not be readily available for particular sites as they cover very small geographical areas that may possess variations of the regional and national weather forecasts. More so, this particular microgrid has a load composition that is highly independent of weather conditions. Air conditioners and heaters are non-typical loads in this system. A Mean Absolute Percent Error (MAPE) of less than 20% is achieved using historical data only.
Fine Scale Spatiotemporal Clustering of Dengue Virus Fine Scale Spatiotemporal Clustering of Dengue Virus Transmission in Children and Aedes aegypti in Rural Thai Villages Transmission in Children and Aedes aegypti in Rural Thai Villages

Background: Based on spatiotemporal clustering of human dengue virus (DENV) infections, transmission is thought to occur at fine spatiotemporal scales by horizontal transfer of virus between humans and mosquito vectors. To define the dimensions of local transmission and quantify the factors that support it, we examined relationships between infected humans and Aedes aegypti in Thai villages. Methodology/PrincipalFindings: Geographic cluster investigations of 100-meter radius were conducted around DENV-positive and DENV-negative febrile ‘‘index’’ cases (positive and negative clusters, respectively) from a longitudinal cohort study in rural Thailand. Child contacts and Ae. aegypti from cluster houses were assessed for DENV infection. Spatiotemporal, demographic, and entomological parameters were evaluated. In positive clusters, the DENV infection rate among child contacts was 35.3% in index houses, 29.9% in houses within 20 meters, and decreased with distance from the index house to 6.2% in houses 80–100 meters away (p , 0.001). Significantly more Ae. aegypti were DENV-infectious (i.e., DENV-positive in head/thorax) in positive clusters (23/1755; 1.3%) than negative clusters (1/1548; 0.1%). In positive clusters, 8.2% of mosquitoes were DENV-infectious in index houses, 4.2% in other houses with DENV-infected children, and 0.4% in houses without infected children (p , 0.001). The DENV infection rate in contacts was 47.4% in houses with infectious mosquitoes, 28.7% in other houses in the same cluster, and 10.8% in positive clusters without infectious mosquitoes (p , 0.001). Ae. aegypti pupae and adult females were more numerous only in houses containing infectious mosquitoes. Conclusions/Significance: Human and mosquito infections are positively associated at the level of individual houses and neighboring residences. Certain houses with high transmission risk contribute disproportionately to DENV spread to neighboring houses. Small groups of houses with elevated transmission risk are consistent with over-dispersion of transmission (i.e., at a given point in time, people/mosquitoes from a small portion of houses are responsible for the majority of transmission).
Detection of sleep apnea using polysomnographic signals [version 1; peer review: 1 approved with reservations]

Introduction : Sleep is important in humans, and it is affected by lifestyle changes. Improper sleep leads to serious physiological problems and disorders that occurs in human brain/scalp. These physiological changes and electrical activity of the human brain are recorded as electroencephalogram (EEG) signals. This paper describes the detection of a major sleep disorder \textit{i.e.}, sleep apnea (SA). Methods : In this paper, sleep apnea is measured using various artifacts taken from the subjects. The discrete wavelet transform (DWT) is used to extract characteristics from an electroencephalogram (EEG) signal and to detect sleep. This is used to determine whether a person has obstructive sleep apnea (OSA) or central sleep apnea (CSA). The wavelet technique is used to split the EEG signal into five frequency bands: delta, theta, alpha, beta, and gamma. Results : For these five frequency bands, the mean, standard deviation, variance, maximum, minimum, and energy are computed. Discussion : A sleep problem is detected based on these characteristics.