Miracle-dz/UniFAR-FTUs huggingface dataset:
White spot Lesions: Pediatric dentistry approach

Introduction: White spot lesions (WSL) develop because of a prolonged buildup of plaque on the surface of the teeth, commonly due to improper oral hygiene. The non-invasive options available in pediatric dentistry for the WSL include the application of fluoride gel and desensitizing agents, in addition to the resin infiltration technique. Objective: Analyze the literature of white spot lesions in pediatric dentistry, know the etiology, epidemiology, prevention, as well as the recommended treatment. Methodology: To carry out this literature review, an electronic search was necessary using PubMed and Google Scholar with the words white spot lesions, etiology, epidemiology, prevention, treatment. Results: WSL appear mainly as a result of inadequate oral hygiene, in addition, different associated factors were found such as the use of orthodontic appliances. Fluoride is a widely used agent for preventing incipient caries or white spot lesions, the first treatment option is remineralization with various remineralizing agents such as fluoride and Amorphous calcium peptide-phosphate casein-phosphate paste. Conclusion: Among the prevention strategies for WSL, we can mention the education of parents, to carry out correct oral hygiene, as well as to educate on the correct nutrition and the use of preventive agents such as fluoride.
The Effectiveness of Internal Audit in Regional Public Hospitals as Regional Public Service Agencies

Public hospitals as mandated by regulation, managed as a public service agency, which given the flexibility on financial and resources management to perform good business practices in order to improve community services. As a public enterprise, regional hospitals must conduct good corporate governance by optimizing resources and providing quality services. The internal audit function have important role in this area. The purpose of this study was to determine the effectiveness of the implementation of internal audit in regional public hospitals as public service agencies. The research method was descriptive with qualitative approach. Research data was collected by observation of documents and in-depth interviews in 2 hospital, regional public hospital in district and regional public hospital at Central Java Province. The research subjects consisted of directors, Internal Auditor Unit ( SPI), service department, , finance and general affair. Data was processed and then content analyzed. Based on the research, internal audit unit structure were just formed to fully regulations. The internal audit team were incompetent, no training, job descriptions of staff had not been detailed and auditor team was double job as additional task. Audit function was more focused on the compliance of financial aspects and accountability. The function of performance evaluation and compliance on regulations had not been carried out. The constraints are the limited number of personnel and double jobs. Hospital directors were usually immediately aware of problems that arise even without reports from the internal audit unit. Monitoring and evaluation of internal audit unit has not been carried out intensively. Internal audit function had not been effectively performed. It is need to appoint staff with appropriate competencies, the role and function of the internal audit unit have to be improved through the establishment of specific job descriptions and the granting of broader authority to audit in all units.
Protection of Active Distribution Systems with DGs

Abstract Distribution systems are traditionally designed as radial passive systems fed from a single source. Protection coordination of such systems has been easily established assuming the system radiality. Insertion of distributed generators (DGs) into distribution systems makes the distribution system to be more active which causes redistribution of fault currents magnitudes and directions. This causes negative impacts on the original protection system coordination, since the distribution system losses its radiality and passiveness. Recently protection coordination in the presence of distributed generation has been paid a great attention. Researchers proposed various solutions to solve the protection coordination problem caused by adding DG into the distribution network. In this paper, the proposed solutions for the protection coordination problem considering the DG insertion will be illustrated, classified, and criticized.
Spatio-temporal modelling of dengue fever cases in Saudi Arabia using socio-economic, climatic and environmental factors

Abstract Dengue Fever (DF) is a common vector-borne disease with catastrophic health implications. DF prediction modelling is a challenging task, although technologies such as Geographical Information Systems (GIS) and spatial statistics have improved our understanding of dengue dynamics. In this paper, we create a robust data analysis model to (i) provide a better understanding of confirmed dengue fever cases despite missing data, (ii) obtain better insights into risk factors associated with confirmed cases, and (iii) by means of machine learning, create clusters of patients with comparable characteristics. The last was accomplished with a self-organizing feature map (SOFM) and the density-based spatial clustering of applications with noise (DBSCAN). The approaches used to classify confirmed cases were: Decision Tree, k-nearest neighbours, Random Forest, AdaBoost, Support Vector Classification (SVC), CatBoost, and Naive Bayes. The CatBoost classifier achieved the best accuracy for the analysis of confirmed cases. Spatial analysis was conducted using the ordinary least square (OLS) and geographically weighted regression (GWR) models to identify high-risk areas. SOM can group patients with similar features into clusters, then DBSCAN detects and retrieves six clusters from this data. The clustering of confirmed cases increases CatBoost’s modelling prediction accuracy and reveals complex factors that influence prediction accuracy. Because confirmed cases in each cluster have different features, CatBoost is applied to each cluster individually to improve the prediction accuracy. Variable values in each cluster are analysed to clarify the confirmed cases of a specific subset of DF incidents. Overall, OLS outperforms GWR when identifying hotspot areas. The proposed novel, data-driven and machine-learning-based strategy facilitates the understanding and identification of patterns associated with confirmed DF cases. The study's findings can be utilized to cluster historical patient data into groups or subgroups sharing similar variables. Using identifiable patient clusters rather than raw history data improves the model accuracy provided by CatBoost.
Role of the chemokine system in liver fibrosis: a narrative review

Background and Objective: Liver fibrosis is a disease with characteristics of an aberrant wound healing response. Fibrosis is commonly the end-stage for chronic liver diseases like alcohol-associated liver disease (ALD), metabolic-associated liver disease, viral hepatitis, and hepatic autoimmune disease. Innate immunity contributes to the progression of many diseases through multiple mechanisms including production of pro-inflammatory mediators, leukocyte infiltration and tissue injury. Chemokines and their receptors orchestrate accumulation and activation of immune cells in tissues and are associated with multiple liver diseases; however, much less is known about their potential roles in liver fibrosis. This is a narrative review of current knowledge of the relationship of chemokine biology to liver fibrosis with insights into potential future therapeutic opportunities that can be explored in the future. Methods: A comprehensive literature review was performed searching PubMed for relevant English studies and texts regarding chemokine biology, chronic liver disease and liver fibrosis published between 1993 and 2021. The review was written and constructed to detail the intriguing chemokine biology, the relation of chemokines to tissue injury and resolution, and identify areas of discovery for fibrosis treatment. Key Content and Findings: Chemokines are implicated in many chronic liver diseases, regardless of etiology. Most of these diseases will progress to fibrosis without appropriate treatment. The contributions of chemokines to liver disease and fibrosis are diverse and include canonical roles of modulating hepatic inflammation as well as directly contributing to fibrosis via activation of hepatic stellate cells (HSCs). Limited clinical evidence suggests that targeting chemokines in certain liver diseases might provide a therapeutic benefit to patients with hepatic fibrosis. Conclusions: The chemokine system of ligands and receptors is a complex network of inflammatory signals in nearly all diseases. The specific sources of chemokines and cellular targets lend unique pathophysiological consequences to chronic liver diseases and established fibrosis. Although most chemokines are pro-inflammatory and contribute to tissue injury, others likely aid in the resolution of established fibrosis. To date, very few targeted therapies exist for the chemokine system and liver disease and/or fibrosis, and further study could identify viable treatment options to improve outcomes in patients with end-stage liver disease.
Statistical inference for stochastic differential equations

Many scientific fields have experienced growth in the use of stochastic differential equations (SDEs), also known as diffusion processes, to model scientific phenomena over time. SDEs can simultaneously capture the known deterministic dynamics of underlying variables of interest (e.g., ocean flow, chemical and physical characteristics of a body of water, presence, absence, and spread of a disease), while enabling a modeler to capture the unknown random dynamics in a stochastic setting. We focus on reviewing a wide range of statistical inference methods for likelihood‐based frequentist and Bayesian parametric inference based on discretely‐sampled diffusions. Exact parametric inference is not usually possible because the transition density is not available in closed form. Thus, we review the literature on approximate numerical methods (e.g., Euler, Milstein, local linearization, and Aït‐Sahalia) and simulation‐based approaches (e.g., data augmentation and exact sampling) that are used to carry out parametric statistical inference on SDE processes. We close with a brief discussion of other methods of inference for SDEs and more complex SDE processes such as spatio‐temporal SDEs.
A Framework for Visualizing Study Designs and Data Observability in Electronic Health Record Data

Background There is growing interest in using evidence generated from clinical practice data to support regulatory, coverage and other healthcare decision-making. A graphical framework for depicting longitudinal study designs to mitigate this barrier was introduced and has found wide acceptance. We sought to enhance the framework to contain information that helps readers assess the appropriateness of the source data in which the study design was applied. Methods For the enhanced graphical framework, we added a simple visualization of data type and observability to capture differences between electronic health record (EHR) and other registry data that may have limited data continuity and insurance claims data that have enrollment files. Results We illustrate the revised graphical framework with 2 example studies conducted using different data sources, including administrative claims only, EHR only, linked claims and EHR, as well as specialty community based EHRs with and without external linkages. Conclusion The enhanced visualization framework is important because evaluation of study validity needs to consider the triad of study question, design, and data together. Any given data source or study design may be appropriate for some questions but not others.
Connexin 43 mediated the angiogenesis of buyang huanwu decoction via vascular endothelial growth factor and angiopoietin-1 after ischemic stroke

Buyang Huanwu decoction (BYHWD), a classical prescription for ischemic stroke, has been reported to promote angiogenesis after focal ischemia. However, the mechanisms of the contribution of BYHWD on angiogenesis are still unclear. Connexin 43 (Cx43) played important roles in the functions of neurogliovascular unit. Therefore, the aim of this study was to explore the potential role of Cx43 in angiogenesis of the ischemic brain after BYHWD treatment. Middle cerebral artery occlusion (MCAO) was used to establish the model of focal ischemia. BYHWD was administrated intragastrically twice a day after MCAO with or without Gap26 (a specific Cx43 inhibitor). Western blot, neurological deficits, immunofluorescent staining, and Evans blue dye were used to confirm the role of Cx43 in angiogenesis after BYHWD treatment. The expression levels of total Cx43 and phosphorylated Cx43 were upregulated by BYHWD and peaked at 7 days post MCAO. Inhibition of Cx43 with Gap26 significantly attenuated the protective role of BYHWD in neurological behavior. BYHWD treatment promoted angiogenesis demonstrated by increased microvascular density, upregulated vascular endothelial growth factor (VEGF), and angiopoietin-1 (Ang-1), while inhibition of Cx43 with Gap26 attenuated these effects of BYHWD. In addition, Gap26 inhibited the beneficial effect of BYHWD on blood-brain barrier (BBB) integrity. These results suggested that Cx43 mediated the angiogenesis of BYHWD via VEGF and Ang-1 after focal ischemic stroke.
Hepatoprotective Effects of Albumin-Encapsulated Nanoparticles of a Curcumin Derivative COP-22 against Lipopolysaccharide/D-Galactosamine-Induced Acute Liver Injury in Mice

Acute liver injury (ALI) is a severe syndrome and can further develop into acute liver failure (ALF) which can lead to high mortality and cause irreversible liver injuries in the clinic. Liver transplantation is the most common treatment; however, liver donors are lacking, and the progression of ALF is rapid. Nanoparticles can increase the bioavailability and the targeted accumulation of drugs in the liver, so as to significantly improve the therapeutic effect of ALI. Curcumin derivative COP-22 exhibits low cytotoxicity and effective anti-inflammatory activity; however, it has poor water solubility. In this study, COP-22-loaded bovine serum albumin (BSA) nanoparticles (22 NPs) were prepared and characterized. They exhibit effective hepatoprotective effects by inhibiting inflammation, oxidative stress, and apoptosis on Lipopolysaccharide/D-Galactosamine-induced acute liver injury of mice. The anti-inflammatory activity of 22 NPs is related to the regulation of the NF-κB signaling pathways; the antioxidant activity is related to the regulation of the Nrf2 signaling pathways; and the apoptosis activity is related to mitochondrial pathways, involving Bcl-2 family and Caspase-3 protein. These three cellular pathways are interrelated and affected each other. Moreover, 22 NPs could be passively targeted to accumulate in the liver through the retention effect and are more easily absorbed than 22.HCl salt in the liver.
Object Detection and Statistical Analysis of Microscopy Image Sequences

Confocal microscope images are wide useful in medical diagnosis and research. The automatic interpretation of this type of images is very important but it is a challenging endeavor in image processing area, since these images are heavily contaminated with noise, have low contrast and low resolution. This work deals with the problem of analyzing the penetration velocity of a chemotherapy drug in an ocular tumor called retinoblastoma. The primary retinoblastoma cells cultures are exposed to topotecan drug and the penetration evolution is documented by producing sequences of microscopy images. It is possible to quantify the penetration rate of topotecan drug because it produces fluorescence emission by laser excitation which is captured by the camera.In order to estimate the topotecan penetration time in the whole retinoblastoma cell culture, a procedure based on an active contour detection algorithm, a neural network classifier and a statistical model and its validation, is proposed.This new inference model allows to estimate the penetration time. Results show that the penetration mean time strongly depends on tumorsphere size and on chemotherapeutic treatment that the patient has previously received.
A 32-Gb/s PAM4-Binary Bridge With Sampler Offset Cancellation for Memory Testing

This brief presents a 32-Gb/s PAM4-Binary bridge for the next-generation memory testing. The bridge incorporates all the required functions to evaluate a high-speed PAM4 memory using a low-speed NRZ tester. The low-speed data transmitted from the NRZ tester to the bridge are converted into high-speed PAM4 data through half-rate clock control and forwarded to the memory, and vice-versa. The ground-terminated PAM4 driver provides the single-ended output by controlling the output current with a 2-tap feed-forward equalizer, achieving a ratio level mismatch (RLM) of 0.95. To minimize the offset at the PAM4 receiver, the offset cancellation circuit with an offset of 2.76mV consisting of a CTLE and sampling latches is employed, and the horizontal margin of the received PAM4 signal is 50% for BER ${ < } 10^{-9}$ . An all-digital PLL integrated in the bridge doubles the 4-GHz WCK used as forwarded clock for the graphic memory. The count-based PAM4 eye-opening monitor is also proposed to find the optimal codes for the maximum eye opening using the PRBS7 data sequence. The bridge fabricated in the 40-nm CMOS technology occupies an active area of 1.6mm2 and dissipates 132mW.
Women’s professional sport leagues: a systematic review and future directions for research

ABSTRACT Women’s professional sport has grown over the last decade and so has academic scholarship investigating it. It is timely to review and consolidate extant scholarship to identify patterns and gaps in research and future directions for research to support continued advancement in women’s professional sport knowledge and practice. This paper presents a systematic quantitative literature review (SQLR) of 57 academic peer-reviewed journal articles researching women’s professional sport leagues and published between 2000 and 2019. We provide bibliographic findings, extend the typical SQLR approach and provide an inductive thematic analysis of article findings to synthesise the knowledge base present in the extant research. Based on our SQLR findings, we highlight four key research directions, including the need for (1) diversity in inquiry and reflexivity by researchers, (2) innovative and enabling theories and conceptual frameworks, (3) transdisciplinary research approaches and (4) sustainable business models for women’s professional sport. We emphasise that to advance our theoretical understandings and sport management practices in women’s professional sport, academics must commit to exploring women’s sport in new and different ways, to achieve new and different knowledge and outcomes. HIGHLIGHTS Research into women’s professional sport leagues is predominantly informed by academics and research contexts from the USA and Australia, and some European countries. Mainstream theories from sports sociology, marketing and management dominate the body of knowledge and most adopt qualitative methods. There appears to be an expectation that women’s professional sport should be an exemplar of diversity, inclusion and social change. Opportunities exist, moving forward, for transdisciplinary research to advance women’s professional sport knowledge and practice.
Diversity Patterns of Protists Are Highly Affected by Methods Disentangling Biological Variants: A Case Study in Oligotrich (s.l.) Ciliates

Protists are a dominant group in marine microplankton communities and play important roles in energy flux and nutrient cycling in marine ecosystems. Environmental sequences produced by high-throughput sequencing (HTS) methods are increasingly used for inferring the diversity and distribution patterns of protists. However, studies testing whether methods disentangling biological variants affect the diversity and distribution patterns of protists using field samples are insufficient. Oligotrich (s.l.) ciliates are one group of the abundant and dominant planktonic protists in coastal waters and open oceans. Using oligotrich (s.l.) ciliates in field samples as an example, the present study indicates that DADA2 performs better than SWARM, UNOISE, UPARSE, and UCLUST for inferring diversity patterns of oligotrich (s.l.) ciliates in the Pearl River Estuary and surrounding regions. UPARSE and UNOISE might underestimate species richness. SWARM might not be suitable for the resolution of alpha diversity owing to its rigorous clustering and sensitivity to sequence variations. UCLUST with 99% clustering threshold overestimates species richness, and the beta diversity pattern inferred by DADA2 is more reasonable than that of the other methods. Additionally, salinity is shown to be one of the key factors responsible for variations in the community distribution of ciliates, but infrequent marine–freshwater transitions occurred during evolutionary terms of this group.
IMU Motion Capture Method with Adaptive Tremor Attenuation in Teleoperation Robot System

Teleoperation robot systems can help humans perform tasks in unstructured environments. However, non-intuitive control interfaces using only a keyboard or joystick and physiological tremor reduce the performance of teleoperation. This paper presents an intuitive control interface based on the wearable device gForcePro+ armband. Two gForcePro+ armbands are worn at the centroid of the upper arm and forearm, respectively. Firstly, the kinematics model of the human arm is established, and the inertial measurement units (IMUs) are used to capture the position and orientation information of the end of the arm. Then, a regression model of angular transformation is developed for the phenomenon that the rotation axis of the torsion joint is not perfectly aligned with the limb segment during motion, which can be applied to different individuals. Finally, to attenuate the physiological tremor, a variable gain extended Kalman filter (EKF) fusing sEMG signals is developed. The described control interface shows good attitude estimation accuracy compared to the VICON optical capture system, with an average angular RMSE of 4.837° ± 1.433°. The performance of the described filtering method is tested using the xMate3 Pro robot, and the results show it can improve the tracking performance of the robot and reduce the tremor.
Effects of Stocking Density on Growth Performance, Antioxidant Status, and Meat Quality of Finisher Broiler Chickens under High Temperature

Environmental factors such as stocking density and high temperature can cause oxidative stress and negatively affect the physiological status and meat quality of broiler chickens. Here, we evaluated the effects of heat stress on the growth performance, antioxidant levels, and meat quality of broilers under different stocking densities. A total of 885 28-day-old male broilers (Ross 308) were subjected to five treatments (16, 18, 21, 23, and 26 birds/m2) and exposed to high temperatures (33 °C for 24 h) for 7 days. High stocking density (23 and 26 birds/m2) resulted in significantly decreased body weight (p < 0.01) and superoxide dismutase activity in the blood (p < 0.05) and increased (p < 0.05) rectal temperature and corticosterone. Additionally, the concentrations of heat shock protein 70 and malondialdehyde in the liver were higher in the 26 birds/m2 group (p < 0.05). Similarly, the 2,2-diphenyl-1-picrylhydrazyl radical scavenging activity of breast meat increased linearly as the stocking density increased (p < 0.05). There was increased shear force in breast meat at low stocking density (p < 0.01). Thus, lower stocking density can relieve oxidative stress induced by high temperatures in broilers and improve the antioxidant capacity and quality of breast meat during hot seasons.