Miracle-dz/UniFAR-FTUs huggingface dataset:
Obesity and Endometrial Cancer: Mechanism and How to Deal with?

Obesity is strongly associated with development of endometrial cancer more than any other cancer type. The relationship between obesity and endometrial cancer risk is combination of inflammation, insulin resistance, and increased bioavailability of estrogen. Obesity can increase risk to develop endometrial cancer as exogenous estrogen has impact for tumorigenesis. The best method to reduce the risk of endometrial cancer in obese women is through progesterone medication and lifestyle intervention.Obesitas erat kaitannya dengan terjadinya kanker endometrium lebih dari jenis kanker lainnya. Hubungan antara obesitas dan risiko kanker endometrium adalah kombinasi antara inflamasi, resistensi insulin, dan peningkatan bioavailabilitas estrogen. Obesitas dapat meningkatkan risiko terjadinya kanker endometrium karena estrogen eksogen berdampak pada tumorigenesis. Metode terbaik untuk mengurangi risiko kanker endometrium pada wanita yang obese adalah melalui pengobatan progesteron dan intervensi gaya hidup. Tricia
Dried Salt-Cured Saithe (Pollachius virens): Exploring the Effects of a Two-Step Desalting Procedure - Immersion in Cold Water and Cooking

ABSTRACT Desalting of dried salt-cured whitefish is traditionally performed by immersion in water up to 48 h. This process reduces the salt content from approximately 20 to 2%. Alternatively, the fish is immersed in water for a few hours and then cooked. The cooking causes a crumbled product that fits traditional dishes found in Caribbean. In this study the weight changes, moisture, and salt content of dried salt-cured saithe, applying short time for immersion followed by cooking, was explored. Immersion for 2 min or 2 h, followed by three cooking sessions, with water exchanges in between, resulted in salt contents of 6-9%. Immersion in 16 h and cooking resulted in salt contents of 3-4%. Cooking for 20 min resulted in lower salt content than cooking just to boiling temperature. Compared to the traditional desalting, the two-step procedure with 16 h immersion and 20 min cooking, reduced the total preparation time significantly.
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images

Deep convolutional neural networks (CNN) manifest the potential for computer-aided diagnosis systems (CADs) by learning features directly from images rather than using traditional feature extraction methods. Nevertheless, due to the limited sample sizes and heterogeneity in tumor presentation in medical images, CNN models suffer from training issues, including training from scratch, which leads to overfitting. Alternatively, a pre-trained neural network’s transfer learning (TL) is used to derive tumor knowledge from medical image datasets using CNN that were designed for non-medical activations, alleviating the need for large datasets. This study proposes two ensemble learning techniques: E-CNN (product rule) and E-CNN (majority voting). These techniques are based on the adaptation of the pretrained CNN models to classify colon cancer histopathology images into various classes. In these ensembles, the individuals are, initially, constructed by adapting pretrained DenseNet121, MobileNetV2, InceptionV3, and VGG16 models. The adaptation of these models is based on a block-wise fine-tuning policy, in which a set of dense and dropout layers of these pretrained models is joined to explore the variation in the histology images. Then, the models’ decisions are fused via product rule and majority voting aggregation methods. The proposed model was validated against the standard pretrained models and the most recent works on two publicly available benchmark colon histopathological image datasets: Stoean (357 images) and Kather colorectal histology (5,000 images). The results were 97.20% and 91.28% accurate, respectively. The achieved results outperformed the state-of-the-art studies and confirmed that the proposed E-CNNs could be extended to be used in various medical image applications.
Fully distributed consensus for fuzzy multiagent systems with jointly connected topology

This paper investigates the problem of fully distributed consensus for polynomial fuzzy multiagent systems (MASs) under jointly connected topologies. First, a polynomial fuzzy modeling method is presented to characterize the error dynamics that is constructed by one leader and multiple followers. Then, using the relative state information and the agents' dynamics, a distributed adaptive protocol is designed to guarantee that MASs under jointly connected topologies can achieve consensus in a fully distributed fashion. Utilizing the Lyapunov technique, a relaxed sufficient criterion is proposed to ensure consensus for fuzzy MASs under jointly connected topologies. Moreover, the adaptive coupling weights between neighboring agents can converge to certain values. The derived condition is transformed into a sum‐of‐squares form, which can be solved numerically. We provide an example to illustrate the proposed distributed adaptive consensus technique's validity.
A Pre- to Post-COVID-19 Change of Air Quality
Patterns in Anhui Province Using Path Analysis
and Regression

During the epidemic period, primary emissions across the world were significantly reduced, while the response to secondary pollution such as ozone differed from region to region. To study the impact of the strict control measures of the new COVID-19 epidemic on the air quality of Anhui in early 2020, the air quality monitoring data of Anhui, from 2019 to 2021, specifically 1 January to 30 August, was examined to analyze the characteristics of the temporal and spatial distribution. Regression and path analysis were used to extract the relationship between the variable. PM10 and O3, on average, increased by 6%, and 2%, while PM2.5, SO2 decreased by 15% and 10% in the post-COVID-19 period. All air quality pollutants decreased during the active-COVID-19 period, with a maximum decrease of 21% observed in PM10, followed by 19% of PM2.5, and a minimum decrease of 2% observed in O3 . Changes in air pollutants from 2017 to 2021 were also compared, and a decrease in all pollutants through 2020 was found. The air quality index (AQI) recorded a low decrease of 3% post-COVID-19, which shows that air quality will worsen in the future, but it decreased by 16% during the active-COVID-19 period. A path analysis model was developed to further understand the relationship between the AQI and air quality patterns. This path analysis shows a strong correlation between the AQI and PM10 and PM2.5, however, its correlation with other air pollutants is weak. Regression analysis shows a similar pattern of there being a strong relationship between AQI and PM10 (r2 = 0.97) and PM2.5 (r2 = 0.93). The government must implement policies to control the environmental issues which are causing poor air quality in post-COVID-19. © 2022, HARD Publishing Company. All rights reserved.
The Intention of Changing Adherence to COVID-19 Preventive Health Measures After Implementation of COVID-19 Vaccination Program: An Online-Based Study in Mazandaran Province, Iran

Background: The nature and extent of changing adherence to COVID-19 preventive health measures are different in various populations. Objectives: The aim of this study was to investigate the intention of changing adherence to COVID-19 preventive health measures (ICA-COVID-19–PHM) after implementation of the COVID-19 vaccination program compared to when they had not received the vaccine. Methods: This cross-sectional study was conducted on 1000 participants in the 18 to 60-year-old group population (Mazandaran Province, Iran). The data were collected by an anonymous online “Google Form” questionnaire. The Pearson correlation coefficient, intra-class correlation coefficient (ICC), and paired t-test were used to evaluate the intention of changing adherence to COVID-19 preventive measures. Results: The correlation coefficient ranged from 0.58 for non-travel to 0.76 for personal hygiene. ICC ranged from 0.68 for non-traveling to 0.86 for personal hygiene and hand/face washing. The results of the paired t-test showed that there was a significant difference between the adherence at the present time and the intention to adhere to preventive protocols after receiving the vaccine. Conclusions: The intention of changing adherence to preventive health measures, such as avoiding travel and crowded places and mask-wearing, had the most reduction.
Intrusion Prevention Fundamentals

An introduction to network attack mitigation with IPS Where did IPS come from? How has it evolved? How does IPS work? What components does it have? What security needs can IPS address? Does IPS work with other security products? What is the “big picture”? What are the best practices related to IPS? How is IPS deployed, and what should be considered prior to a deployment? Intrusion Prevention Fundamentals offers an introduction and in-depth overview of Intrusion Prevention Systems (IPS) technology. Using real-world scenarios and practical case studies, this book walks you through the lifecycle of an IPS projecti¾from needs definition to deployment considerations. Implementation examples help you learn how IPS works, so you can make decisions about how and when to use the technology and understand what “flavors” of IPS are available. The book will answer questions like:Whether you are evaluating IPS technologies or want to learn how to deploy and manage IPS in your network, this book is an invaluable resource for anyone who needs to know how IPS technology works, what problems it can or cannot solve, how it is deployed, and where it fits in the larger security marketplace. Understand the types, triggers, and actions of IPS signatures Deploy, configure, and monitor IPS activities and secure IPS communications Learn the capabilities, benefits, and limitations of host IPS Examine the inner workings of host IPS agents and management infrastructures Enhance your network security posture by deploying network IPS features Evaluate the various network IPS sensor types and management options Examine real-world host and network IPS deployment scenariosThis book is part of the Cisco Press® Fundamentals Series. Books in this series introduce networking professionals to new networking technologies, covering network topologies, example deployment concepts, protocols, and management techniques.Includes a FREE 45-Day Online Edition
Prevalence of Risk Factors and Lifestyle Choices Associated with Increased Cancer in Participants from Trinidad and Tobago

The prevalence of risk factors for cancer among demographics, such as age, gender, and ethnicity, as well as lifestyle choices such as alcohol consumption, smoking, and diet were explored in a Trinidadian population. This cross-sectional study was conducted with participants aged 18 years and older with no personal history of cancer. An online questionnaire was created using SurveyMonkey software and distributed via social media platforms to invite eligible persons to participate. The data were analyzed, and descriptive statistics were generated using SPSS 27. A total of 478 valid responses were obtained. Females comprised 72% of the study population, while males comprised 28%. Most participants fell within the 35-44 age bracket (106 persons), followed by the 18-24 age group (100 persons). At least 18.83% of the participants were over 55 years old. Regarding ethnicity, the majority of participants were either Afro-Trinidadian (38.70%), Indo-Trinidadian (28.66%), or mixed (25.52%). It was also found that most respondents did not drink or smoke (61.1%), although 3.3% of respondents smoke and 15.7% drink once a week. Of the participants, 63.2% had no dietary restrictions, and less than 20.0% were overweight, consumed fast food, red meats, and smoked foods. The most prevalent risk factors for cancer among this target population were family history, age, diet, and weight. Changes to one’s diet, increased physical activity, and proper weight management can help reduce the risk of developing cancer, as well as secondary risk factors.
Empagliflozin in the treatment of heart failure and type 2 diabetes mellitus: Evidence from several large clinical trials

Heart failure coexists with type 2 diabetes mellitus, which seriously affects the clinical treatment and prognosis. At present, the treatment for patients with established heart failure and type 2 diabetes mellitus is usually combined with two treatment strategies for heart failure and type 2 diabetes mellitus. Recently, increasing studies showed that empagliflozin, a sodium-glucose co-transporter-2 inhibitor, has a positive effect on the treatment of patients with established heart failure and type 2 diabetes mellitus. Here, we summarize the latest and current understanding of the management for patients with established heart failure and type 2 diabetes mellitus and further present contemporary treatment options, sodium-glucose co-transporter-2 inhibitor, for these particular populations.
Improve Stock Price Model-Based Stochastic Pantograph Differential Equation

Although the concept of symmetry is widely used in many fields, it is almost not discussed in finance. This concept appears to be relevant in relation, for example, to mathematical models that can predict stock prices to contribute to the decision-making process. This work considers the stock price of European options with a new class of the non-constant delay model. The stochastic pantograph differential equation (SPDE) with a variable delay is provided in order to overcome the weaknesses of using stochastic models with constant delay. The proposed model is constructed to improve the evaluation process and prediction accuracy for stock prices. The feasibility of the proposed model is introduced under relatively weak conditions imposed on its volatility function. Furthermore, the sensitivity of time lag is discussed. The robust stochastic theta Milstein (STM) method is combined with the Monte Carlo simulation to compute asset prices within the proposed model. In addition, we prove that the numerical solution can preserve the non-negativity of the solution of the model. Numerical experiments using real financial data indicate that there is an increasing possibility of prediction accuracy for the proposed model with a variable delay compared to non-linear models with constant delay and the classical Black and Scholes model.
Human Serum Amyloid a Impaired Structural Stability of High-Density Lipoproteins (HDL) and Apolipoprotein (Apo) A-I and Exacerbated Glycation Susceptibility of ApoA-I and HDL

Human serum amyloid A (SAA) is an exchangeable apolipoprotein (apo) in high-density lipoprotein (HDL) that influences HDL quality and functionality, particularly in the acute phase of inflammation. On the other hand, the structural and functional correlations of HDL containing SAA and apoA-I have not been reported. The current study was designed to compare the change in HDL quality with increasing SAA content in the lipid-free and lipid-bound states in reconstituted HDL (rHDL). The expressed recombinant human SAA1 (13 kDa) was purified to at least 98% and characterized in the lipid-free and lipid-bound states with apoA-I. The dimyristoyl phosphatidylcholine (DMPC) binding ability of apoA-I was impaired severely by the addition of SAA, while SAA alone could not bind with DMPC. The recombinant human SAA1 was incorporated into the rHDL (molar ratio 95:5:1, 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC): cholesterol: apoA-I) with various apoA-I:SAA molar ratios from 1:0 to 1:0.5, 1:1 and 1:2. With increasing SAA1 content, the rHDL particle size was reduced from 98 Å to 93 Å, and the α-helicity of apoA-I:SAA was decreased from 73% to 40% for (1:0) and (1:2), respectively. The wavelength maximum fluorescence (WMF) of tryptophan in rHDL was red-shifted from 339 nm to 345 nm for (1:0) and (1:2) of apoA-I:SAA, respectively, indicating that the addition of SAA to rHDL destabilized the secondary structure of apoA-I. Upon denaturation by urea treatment from 0 M to 8 M, SAA showed only a 3 nm red-shift in WMF, while apoA-I showed a 16 nm red-shift in WMF, indicating that SAA is resistant to denaturation and apoA-I had higher conformational flexibility than SAA. The glycation reaction of apoA-I in the presence of fructose was accelerated up to 1.8-fold by adding SAA in a dose-dependent manner than that of apoA-I alone. In conclusion, the incorporation of SAA in rHDL impaired the structural stability of apoA-I and exacerbated glycation of HDL and apoA-I.
REPRESENTACIONES IMPLÍCITAS DE INNOVACIÓN CURRICULAR DE PROFESORES DE EDUCACIÓN SUPERIOR

El artículo presenta los resultados de una investigación acerca de las representaciones implícitas del profesorado de educación superior sobre la innovación curricular y su relación con el desempeño en el aula. El estudio se llevó a cabo con docentes de una licenciatura de la Universidad de Colima, en la que se implementó el modelo basado en competencias como parte de un proceso de innovación curricular. Participaron catorce docentes. La investigación se realizó bajo un enfoque cualitativo-descriptivo y se utilizó un cuestionario elaborado con base en dilemas y preguntas abiertas, como instrumento para la recogida de información. Se puede afirmar que el análisis de las representaciones implícitas de los docentes comienza en la autopercepción en torno a su desempeño; sus creencias, bagaje cultural y su contexto social, son determinantes en su concepción en relación con el aprendizaje, la enseñanza, la evaluación y la innovación. En términos generales, se identifica el compromiso con la enseñanza, el interés por los estudiantes y la contradicción entre un pensamiento lineal o progresivo y una práctica que añade herramientas didácticas que presumen de resultados metacognitivos: todo esto inmerso en un contexto de construcción y reconstrucción de la enseñanza de manera continua.
Integrated Crop-Nitrogen Management Improves Tomato Yield and Root Architecture and Minimizes Soil Residual N

Sustainable intensification of protected vegetable crops entails increasing yield while reducing environmental impact and labor input. To explore a comprehensive strategy for high yielding, highly efficient and high quality production of greenhouse tomato (Solanum lycopersicum L.), an integrated crop-nitrogen management (ICNM) strategy was compared to farmers’ traditional management (TM) in a field experiment in a solar greenhouse. A split-plot block design was used. The main factor was the management strategy of ICNM and TM. The secondary factor was four different basal fertilizer treatments, being a control (CK; 0 kg N ha−1), carbon-based urea (BU; 100 kg N ha−1), controlled release urea (CU; 100 kg N ha−1), and conventional compound fertilizer (CF; 100 kg N ha−1). An additional 200 kg N ha−1 through drip irrigation as topdressing was used. Tomato fruit yield, N uptake, and N partial productivity with ICNM were significantly higher than with TM, increasing by 32.1%, 39.7%, and 31.1%, respectively. The proportion of fine roots was increased in ICNM, and the average diameter of roots decreased by 10.7% compared to TM. There was a significant negative correlation between mean root diameter and N uptake. In conclusion, the ICNM strategy was beneficial to form a good root system configuration, promote the development of shoot biological potential, increase tomato yield, maintain fruit quality, increase N uptake, and reduce environmental risks.
Dried Wild-Grown Mushrooms Can Be Considered a Source of Selected Minerals

Dried mushrooms might be a source of mineral components, which are indispensable for human health. The aim of this study was to determine the contents of calcium (Ca), magnesium (Mg), iron (Fe), zinc (Zn), copper (Cu), manganese (Mn), and selenium (Se) in dried wild-grown mushrooms (Boletus edulis and Xerocomus badius) available for sale, and to evaluate these mushrooms’ contribution to the daily reference intake of the studied bioelements. The concentrations of mineral components in the mushroom samples were determined by the flame method (Ca, Mg, Fe, Zn, Cu, Mn) and the electrothermal (Se) atomic absorption spectrometry method. The mean Ca, Mg, Fe, Zn, Cu, Mn (in mg/kg), and Se concentrations (in µg/kg) in B. edulis were 82.1, 964.1, 233.4, 97.9, 25.3, 22.1, and 6501.6, respectively, whereas in X. badius: 67.5, 1060.2, 87.8, 197.2, 33.9, 19.8, and 282.4, respectively. We have shown that dried B. edulis can be considered a source of Se. In the case of the other microelements, the tested mushrooms may serve only as additional supplements. Therefore, the studied species of mushrooms cannot be regarded as potential nutritional sources of the macroelements in question. Consumers should be properly informed about this, which should be guaranteed by appropriate legal regulations.
Statistical optimization of phytol and polyunsaturated fatty acid production in the Antarctic microalga Micractinium variabile KSF0031

Polar microorganisms produce physiologically active substances to adapt to harsh environments, and these substances can be used as biomedical compounds. The green microalga Micractinium variabile KSF0031, which was isolated from Antarctica, produced phytol, a natural antimicrobial agent. Furthermore, several polyunsaturated fatty acids (PUFAs), including omega-3, exhibit antioxidant properties. Here statistical methods (Plackett-Burman design and Box- Behnken design) were used to optimize the culture medium of KSF0031 to improve biomass production, and K2HPO4, MgSO4·7H2O, and ammonium ferric citrate green (AFCg) were selected as significant components of the culture medium. Changes in the concentration of K2HPO4 and MgSO4·7H2O as positive factors and AFCg as a negative factor affected cell growth to a remarkable degree. The biomass production in a 100 L culture using the optimized medium for 24 d at 18°C was improved by 37.5% compared to that obtained using the original BG-11 medium. The quantities of PUFAs and phytol obtained were 13 mg g-1 dry cell weight (DCW) and 10.98 mg g-1 DCW, which represent improved yields of 11.70% and 48.78%, respectively. The results of this study could contribute to an improved production of phytol and fatty acids from Antarctic microalgae in the biomedical industry.