Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence of Mycoplasma pneumoniae from Symptomatic Pediatric Patients Referred to a Child Outpatient Clinic of a University Hospital

1 Department of Medical Microbiology, Istanbul University İstanbul School of Medicine, Istanbul, Turkey 2 Department of Pediatrics, Istanbul University İstanbul School of Medicine, Istanbul, Turkey 3 Clinic of Pediatric Infectious Diseases, Kahramanmaras Maternity and Children Hospital, Kahramanmaras, Turkey DOI: 10.5578/ced.20219918 • J Pediatr Inf 2021;15(1):e1-e6 Original Investigation / Özgün Araştırma
AN OPTIMIZED ADABOOST ALGORITHM BASED ON K-MEANS CLUSTERING

Classification plays an important role on data mining techniques. AdaBoost is a classic upgrade algorithm on data classification. The Optimization algorithm on AdaBoost emerged is endless. In this paper we make some improvement on the base of a nonlinear AdaBoost algorithm based on statistics for K-nearest neighbors. In the basic algorithm, the prediction accuracies were improved more or less while it took plenty of time to calculate the Euclidean distance between the instance and all the samples. So we raise an improved method to shorten the computing time with K-means Clustering algorithm, and the classification accuracies will be as accurate as the original. Experiment results show that improvement is an effective method while the number of samples is large. And the bigger the number of the samples is, the more time can be saving in the stage of classification for the instance.
A ternary phase‐field model for wetting of soft elastic structures

Soft wetting, that is, the interaction of liquid–fluid interfaces with deformable elastic structures, provides a rich variety of physical phenomena (stick‐slip motion, durotaxis, Shuttleworth effect, etc.) which are not yet understood. We propose a novel phase‐field approach to study such problems. The method uses two phase‐fields to describe the three domains (solid, liquid, ambient fluid) by the ternary Navier–Stokes Cahn–Hilliard equations. We use a recent phase‐field approach for fluid‐structure interaction to equip one phase with elastic properties. The resulting method is significantly simpler than all previous approaches for soft wetting, since no grids are used to represent the geometries. Accordingly, the method avoids grid‐based computation of interface curvature, mappings between different grids, complicated mesh generation, and retriangulation, while the elastic object can move freely through the computational domain. As a special feature, the elastic structure is for the first time represented as a neo‐Hookean Kelvin–Voigt–Maxwell material which makes it very versatile. The accuracy of the method is shown in a benchmark simulation of a droplet on an elastic substrate. The geometrical flexibility is illustrated by simulating a rotating solid object within a fluidic interface. Finally, we provide the first 3D simulations of soft wetting including solid surface tensions.
ANALYSIS OF FACTORS INFLUENCING HOUSEHOLDS’ PREFERENCE LEVEL FOR SOLAR ENERGY IN URBAN AREAS OF SOUTHWEST NIGERIA

If sustainable development goals (SDGs) seven of affordable and clean energy will be achieved, access to clean energy such as solar energy needs dedicated attention. The study assessed respondents’ perception of solar energy and identified factors influencing their preference level in urban areas of Southwest Nigeria. Data were obtained from four hundred and eighty solar energy users and four hundred and eighty non-solar energy users leading to total of nine hundred and sixty respondents’ through a multi-stage sampling technique. Descriptive statistics, 5-likert scale type and tobit regression model were used to analyze the data collected. The respondents agreed that solar energy is the most appropriate source of energy compared to fossil fuel with mean score of 3.83. Price stability (0.83) attribute of solar energy is one of the reasons that makes it preferred by the respondent. A unit increase in household income will lead to 0.0879592 preference for solar energy in the study area. The study recommends that government at all levels should sensitize the households on the usage of solar energy in Nigeria to achieve the goal seven of SDGs.
Differentiation between Glioblastoma and Solitary Metastasis: Morphologic Assessment by Conventional Brain MR Imaging and Diffusion-Weighted Imaging

Purpose: Differentiating between glioblastoma and solitary metastasis is very important for the planning of further workup and treatment. We assessed the ability of various morphological parameters using conventional MRI and diffusion-based techniques to distinguish between glioblastomas and solitary metastases in tumoral and peritumoral regions. Materials and Methods: We included 38 patients with solitary brain tumors (21 glioblastomas, 17 solitary metastases). To find out if there were differences in the morphologic parameters of enhancing tumors, we analyzed their shape, margins, and enhancement patterns on postcontrast T1-weighted images. During analyses of peritumoral regions, we assessed the extent of peritumoral non-enhancing lesion on T2- and postcontrast T1-weighted images. We also aimed to detect peritumoral neoplastic cell infiltration by visual assessment of T2-weighted and diffusion-based images, including DWI, ADC maps, and exponential DWI, and evaluated which sequence depicted peritumoral neoplastic cell infiltration most clearly. Results: The shapes, margins, and enhancement patterns of tumors all significantly differentiated glioblastomas from metastases. Glioblastomas had an irregular shape, ill-defined margins, and a heterogeneous enhancement pattern; on the other hand, metastases had an ovoid or round shape, well-defined margins, and homogeneous enhancement. Metastases had significantly more extensive peritumoral T2 high signal intensity than glioblastomas had. In visual assessment of peritumoral neoplastic cell infiltration using T2-weighted and diffusion-based images, all sequences differed significantly between the two groups. Exponential DWI had the highest sensitivity for the diagnosis of both glioblastoma (100%) and metastasis (70.6%). A combination of exponential DWI and ADC maps was optimal for the depiction of peritumoral neoplastic cell infiltration in glioblastoma. Conclusion: In the differentiation of glioblastoma from solitary metastatic lesions, visual morphologic assessment of tumoral and peritumoral regions using conventional MRI and diffusion-based techniques can also offer diagnostic information. when assessing peritumoral neoplastic cell infiltration in peritumoral non-enhancing lesions; lower imaging resolution by the relatively low signal-to-noise ratio of 1.5T MRI; the aforementioned T2-shine-through effect in DWI; reactive gliosis and infiltration into the surrounding tissue in the later-staged metastatic lesions.
A Comparative Analysis of the Diets of a Genus of Freshwater Turtles across Africa

Pelusios (Testudines: Pleurodira) is an Afrotropical endemic genus of freshwater turtles that have adapted to a variety of habitats, with savannahs and forests being their two main habitat types. Although considered generally carnivorous, these turtles have rarely been subjected to detailed field surveys for determining their quantitative diet. In this paper, by using both the literature and original data, we analyze the diet of several Pelusios populations: three P. adansonii populations from South Sudan, one P. nanus from Zambia, seven P. castaneus from Nigeria, Benin and Togo, and four P. niger from Nigeria. All species were omnivorous but with a clear preponderance of the prey items being of animal origin (e.g., amphibians, fish, arthropods and annelids). Saturation curves revealed that the diet composition of all the surveyed populations was adequately assessed, and the diversity profiles indicated that all the populations were relatively similar in terms of overall dietary diversity. General Linear Models (GLM) showed a negative effect of vegetation cover on Anura adult consumption by turtles, and showed that the frequencies of Anura tadpoles, fish, reptiles and birds on Pelusios diets increased with the increase in vegetation cover. The GLM model also showed positive effects of individual body size on algae, Bivalvia, reptiles, birds and small mammal consumption by turtles, and underlined that the predation on Arachnida decreased with the increase in turtle body size. In all species, there were no significant intersexual dietary differences, whereas there were substantial ontogenetic dietary changes in three out of four species. Small-sized individuals of P. castaneus, P. niger and P. adansonii tended to feed mainly upon insects, with the adults also taking many fish and adult frogs, and in the case of P. niger, also birds and small mammals. Conversely, in P. nanus, the diet composition did not vary substantially from the juvenile to the adult age. All species appeared substantially generalist in terms of their diet composition, although the effects of season (wet versus dry) were not adequately assessed by our study.
Subsensitivity of serotonin receptors after long-term treatment of rats with fluoxetine.

Abstract Binding of [3H]-serotonin ([3H]5-hydroxytryptamine, [3H]5HT) to high and low affinity sites in brain membranes from frontal cortex was compared in rats fed control chow or fluoxetine (0.01%) containing chow. A reduction in the number of high affinity binding sites and in the affinity of the low affinity binding sites was observed after 2, 4 or 6 weeks. Reduction in the number of [3H]5HT binding sites was also observed in cerebral cortex of rats given fluoxetine by daily intraperitoneal injection for 4 or 6 weeks. Thus, long-term treatment with a selective inhibitor of serotonin uptake, fluoxetine, caused subsensitivity of 5HT receptors in frontal cortex and cerebral cortex of rat brain.
Granger causal weather time series forecasting simulation combined with mutual information

Meteorological science is becoming more and more familiar. The internal driving relationship of weather, timing sequence and its accurate prediction are hot topics in the field of meteorology. This paper proposes a granger weather, timing sequence causal prediction method combining mutual information. In this paper, the information entropy characteristic matrix of the Granger feature set is calculated through mutual information. It while verifying the causal relationship of the weather, timing variables such as temperature, humidity and wind speed, it mines the effective input variables to achieve the purpose of reducing the dimension of time-series data features and improves the prediction accuracy of the target model. Finally, the open source weather data set is used to make a comparative experiment between qualitative and quantitative analysis of the proposed algorithm. The simulation results show that the method is feasible and effective.
Intelligent management of constrained links for distributed autonomy

This paper addresses one of the main underlying obstacles overlooked when adding autonomy to a cooperative cluster of nodes working together to complete global objectives. The limited bandwidth of the constrained link must be shared between all nodes and becomes a pinch point for distributed autonomy. Intelligently managing the shared information and controlling how it is replicated across all nodes is vital. Lack of communication results in poor team performance. Intermittent connectivity and delayed intelligence sharing leads to the cooperative cluster performing no better or even worse than a single node as the team acts and reacts to misinformation. This paper addresses how we solved the problems encountered with constrained links and distributing information by utilizing application layer routing to perform QoS on a per route basis and creating a unique method of passing generic objects of information.
Differential impacts of social influence on initial and sustained participation in open source software projects

Social networking tools and visible information about developer activities on open source software (OSS) development platforms can leverage developers' social influence to attract more participation from their peers. However, the differential impacts of such social influence on developers' initial and sustained participation behaviors were largely overlooked in previous research. We empirically studied the impacts of two social influence mechanisms—word‐of‐mouth (WOM) and observational learning (OL)—on these two types of participation, using data collected from a large OSS development platform called Open Hub. We found that action (OL) speaks louder than words (WOM) with regard to sustained participation. Moreover, project age positively moderates the impacts of social influence on both types of participation. For projects with a higher average workload, the impacts of OL are reduced on initial participation but are increased on sustained participation. Our study provides a better understanding of how social influence affects OSS developers' participation behaviors. It also offers important practical implications for designing software development platforms that can leverage social influence to attract more initial and sustained participation.
Prevalence and Correlates of Microalbuminuria among Type 2 Diabetes Patients at Muhimbili National Hospital, Dar es Salaam, Tanzania

Background Regular screening for microalbuminuria among type 2 diabetes patients is less common in most low-income countries while it is an early marker of diabetic nephropathy and cardiovascular complications. Objective This study aims to assess the need for regular screening for microalbuminuria among type 2 diabetes patients. Methodology with cross-sectional approach, 124 diabetic patients were recruited at Muhimbili National Hospital, in Tanzania; their age, gender, body mass index, fasting blood sugar levels (by Accu Chek Active Glucometer), random urine albumin levels (by Microalbumin 2-1 Combo Test Strips), and the duration of diabetes were recorded. Results The study indicated that 62.1% of the participants were microalbuminuric while 2.4% were macroalbuminuric. The risk of microalbuminuria was 4.55 higher in patients aged 60-69 years (95% CI: 1.32-16.51), and 17.4 times higher in patients aged 70 and above (95% CI: 1.49-202.86) compared to individuals aged below 50 years. Patients with high blood sugar level had a risk of 8.09 times higher compared to those with normal blood sugar (CI: 2.53-25.86). Also, the odds were 7.89 higher in patients who lived with diabetes for 10-14 years compared to those lived with the disease less than 5 years (95% CI:1.33-45.59). Rwanda Journal of Medicine and Health Sciences Vol.4 No.1, March 2021 https://dx.doi. org/10.4314/rjmhs.v4i1. 7 ___________________________________________________________________________________________________________________ 85 Conclusion The odds of microalbuminuria increased significantly as the patient gets older, with high blood sugar, and the duration of diabetes. Health policies need to establish programs that enhance care at the diabetic clinic through regular screening for microalbuminuria to reduce the risk of developing kidney and cardiovascular complications. Rwanda J Med Health Sci 2021;4(1):84-97 ______________________________________________________________________________
Research on Effect of Microbe on Phosphorus Releasing from Sediment in Dutang Reservoir

Phosphorus releasing from the sediment in Dutang Reservoir dam section was analyzed by parallel experiments under different conditions of aerobic and anaerobic.The effect of microbe on phosphorus releasing from sediment was investigated based on a series of test by comparison method of sterilization and non-sterilization in simulated water-sediment reactors.The concentrations of the overlying water solubility inorganic phosphorus and solubility iron were determined and the changes of phosphorus forms and related microbes of phosphorus cycle morphological before and after cultivation were analyzed.The experimental results showed that sediments release phosphorus mainly under the action of microbial mineralization in aerobic condition.However,iron was deoxidized by microbe in sediments to promote phosphorus releasing under the anaerobic condition.Microbe has an important influence on endogenous phosphorus release of sediments.And it also found that the organic phosphorus and the iron/aluminium bound phosphorus are forms more easily to release.Comparing the number of aerobic heterotrophic bacteria,organic phosphate liberated bacteria and inorganic phosphate liberated bacteria before and after cultivation,it was found that all kinds of bacteria significantly increased.It confirmed the existence of phosphorus cycle related microbes in sediments and the possible effects on the release of P element.
ClickbaitTR: Dataset for clickbait detection from Turkish news sites and social media with a comparative analysis via machine learning algorithms

Clickbait is a strategy that aims to attract people’s attention and direct them to specific content. Clickbait titles, created by the information that is not included in the main content or using intriguing expressions with various text-related features, have become very popular, especially in social media. This study expands the Turkish clickbait dataset that we had constructed for clickbait detection in our proof-of-concept study, written in Turkish. We achieve a 48,060 sample size by adding 8859 tweets and release a publicly available dataset – ClickbaitTR – with its open-source data analysis library. We apply machine learning algorithms such as Artificial Neural Network (ANN), Logistic Regression, Random Forest, Long Short-Term Memory Network (LSTM), Bidirectional Long Short-Term Memory (BiLSTM) and Ensemble Classifier on 48,060 news headlines extracted from Twitter. The results show that the Logistic Regression algorithm has 85% accuracy; the Random Forest algorithm has a performance of 86% accuracy; the LSTM has 93% accuracy; the ANN has 93% accuracy; the Ensemble Classifier has 93% accuracy; and finally, the BiLSTM has 97% accuracy. A thorough discussion is provided for the psychological aspects of clickbait strategy focusing on curiosity and interest arousal. In addition to a successful clickbait detection performance and the detailed analysis of clickbait sentences in terms of language and psychological aspects, this study also contributes to clickbait detection studies with the largest clickbait dataset in Turkish.
Screening and Prediction of Potential Compounds from Virgin Olive Oil Acting on Proteins Associated with Cancer Disease

Virgin olive oil contains phenolic compounds that were potential for anti-inflammatory and cancer treatment. Computational biology is a beneficial method to understand how this compound can affect the biological process in humans. This research is conducted by the potential screening of VOO compounds, constructing the pharmacological network and enrichment, and docking simulation. The enrichment result showed that the EGFR, BRAF, MAPK1, CCND1, and MDM2 protein have multiple cancer contributions and related pathways. The docking simulation result showed that the interaction of EGFR-luteolin, BRAF-luteolin, MAPK1-luteolin, CCND1-apigenin, and MDM2-1-hydroxypinoresinol has the highest binding affinity. Further research with the in-vitro method is required to check the reliable mechanisms of each compound to their protein target.
Aortofemoral bypass in occlusive TASC-C and TASC-D lesions: Midterm results of 28 cases

Objectives: This study aims to evaluate the three-year patency rates of aortofemoral bypass surgery in the clinical and radiological diagnosis of Trans-Atlantic Inter-Society Consensus (TASC)-C and TASC-D aortoiliac lesions. Patients and methods: Medical records of a total of 28 patients (21 males, 7 females; mean age: 64.8±8.6 years; range, 58 to 72 years) with TASC-C and TASC-D aortoiliac lesions who underwent aortofemoral bypass surgery between September 2014 and December 2018 were retrospectively analyzed. Demographic and clinical characteristics of the patients were recorded. All operations were performed by a single surgical team by placing a Y graft in the anatomical location and using open median laparotomy technique. The Y graft bypass results with periand postoperative data were evaluated. Results: Dacron Y grafts were used in 18 of TASC-C (25%) and TASC-D (75%) lesions, and polytetraf luoroethylene Y grafts were used in 10 of them. No reoperation or amputation was performed in any patient during follow-up. The mean patency of vascular Y grafts was 92% after three years. There was no significant difference between the graft types and postoperative patient values (p>0.05). Mortality was observed in one patient due to systemic inf lammatory response syndrome. Conclusion: The patency of vascular grafts for aortoiliac occlusive disease is satisfactory in TASC-C and D lesions.
Acidithiobacillus ferrooxidans as a Bioelectrocatalyst for Conversion of Atmospheric CO2 into Extracellular Pyruvic Acid

This study investigated the ability of the bacterium Acidithiobacillus ferrooxidans to convert CO2 into organic compounds in batch culture and during electrochemical cultivation. Metabolites secreted into the culture medium were detected and analyzed by HPLC and mass spectroscopy, which revealed that pyruvic acid was one of the organic acids present in both cultures. We found that although pyruvic acid acted as a strong inhibitor for microbial growth in batch cultures, microbial CO2 fixation activity in electrochemical cultures was not significantly affected by the addition of excess pyruvic acid. Together, these findings indicate that A. ferrooxidans is a promising bioelectrocatalyst for the conversion of CO2 into extracellular organic compounds. © The Electrochemical Society of Japan, All rights reserved.
An Employment of Probabilistic Neural Network in Magnetic Resonance Imaging For Early Brain Cancer Detection

Given the circumstances of the countries in which wars, political instability, and other uncertainties are passing that make the atmosphere impure, which have caused many diseases, one of these diseases that has spread widely is cancer. Cancer is a very common disease, and many of them affect a person and lead him or her to death. Among these diseases, which have been common in recent years specifically the brain tumors that they need early diagnosis and do not cause the death of the person. Furthermore, many studies in the field of brain cancer detection have been done, but the best solution is still missing. Therefore, in this paper, a reliable method is proposed to detect brain tumors, extract its properties, and classify the tumor using Magnetic Resonance Imaging (MRI) through the artificial neural network. In the proposed system, an essential part of image processing is the analysis and processing of digital images, especially to improve their quality, Bilateral Filter is used to improving image clarity and any image noise in this method preserves edges. After that, the distinctive properties of the image are extracted using the Histogram of Oriented Gradient (HOG) method. Thus, the extracted features are strong and can be classified as a Probabilistic Neural Network (PNN), this is what distinguishes our work from the previous works. The advantage obtained is granted to the PNN Classifier, which is used to train and test the accuracy of performance in perceiving the location of the tumour in MRI images of the brain accuracy as it resolves 99.5%.
Properties and applications of xanthan gum

Synthesis and purification technology of xanthan gum from fermentation of cornst arch are presented.The molecular structure of xanthan gum has recurring five sug ar structure,its main properties including artificial plastic fluid,stabilizatio n for acid and alkali,suspending and emulsification,and assisting effect for inc reasing viscidity are produced.Bearing on these properties,its application in fo odstuff,oil and textile industry are related.And finally,the production situatio n and the yields of xanthan gum at home and abroad are investigated.