Miracle-dz/UniFAR-FTUs huggingface dataset:
Xanthogranulomatus inflammatory lesion mimicker of malignancy: A clinicopathological study from rural India

OBJECTIVE: Xanthogranulomatus inflammation is an uncommon variant of chronic inflammation and a well-established pathological entity involving various organs and systems. It may be associated with infection and obstruction, defective lipid transport, immunological disturbances, and often confused as a malignant neoplasm. The confirmative diagnosis is made on histopathology. METHODS: This is a retrospective study conducted from January 2008 to April 2020 on histopathologically diagnosed xanthogranulomatus lesions. All the relevant available data regarding age, sex, and organ involvement were collected from histopathology lab records. The macroscopic and microscopic evaluation of cases was also done. This study was aimed to determine the significance of histopathology in the diagnosis of xanthogranulomatus lesions, revealing pathological changes, and clinicopathological correlation. RESULTS: In the current study, there were 93 cases of xanthogranulomatus inflammatory lesion. Gall bladder was frequently involved 70 (75.27%), followed by 5 (5.37%) kidney, gastrointestinal Tract 6 (3 [3.23%] cases in colon and 3 [3.23%] in appendix, respectively), and others. The maximum number of cases was in the age group of 31–40 years with 24 (25.80%) cases. The female to male sex ratio was 2.3:1. CONCLUSION: Awareness and knowledge of xanthogranulomatus inflammatory lesion is significant to the pathologist and surgeon to prevent extensive surgery. This lesion often mimics as malignancy and confirmatory diagnosis is made on histopathology. Thus, every excised specimen must be examined histopathologically to diagnose and rule out differential.
Benzene propagation during turbulent flow in PEHD water supply pipes

The results of laboratory and numerical studies of benzene propagation migrating from PEHD pipe to water in turbulent flow conditions have been presented. Laboratory studies were performed on 30 meter long closed-loop installation consisting of PEHD 80 32×3.0 mm polyethylene pipes during the 168 h of experiment. Measurements of benzene concentration in water were conducted by the gas chromatography-mass spectroscopy (GC-MS) method. Numerical calculations of benzene propagation in water were performed with the Fluent, Ansys Inc. Our studies showed a clear increase of benzene concentration in water resulting from its migration to water from the pipe material. The developed numerical model was positively validated.
Optimization for DFIG Fast Frequency Response With Small-Signal Stability Constraint

The increasing penetration of wind power deteriorates the frequency stability of power systems. To address this issue, a fast frequency response (FFR) from wind farms is required to provide frequency support. However, the power point tracking controllers in wind turbines may counteract the effect of droop-based fast frequency controllers during the frequency response, which makes it difficult to estimate the exact contribution of droop-based fast frequency controllers in wind farms to the system frequency behavior. To address this issue, this article proposes a control parameter design method to fully utilize the frequency support potential of wind turbines. To achieve this goal, an explicit expression for the relationship between the droop-based fast frequency control parameters of the wind turbines and the steady-state frequency deviation is derived. Considering that the fast frequency controller may have a negative effect on the small-signal rotor angle stability, we present a coordinated parameter optimization model of droop-based fast frequency controllers, which improves the system frequency behavior while meeting the small-signal rotor angle stability requirement. A sensitivity-based method is presented to solve the proposed optimization model, which efficiently handles violations of the control parameter constraints. Case studies validate the effectiveness of the proposed method.
Potential for Enhanced Degradation and Removal of Various Bisphenols by Interaction between Common Reed (Phragmites australis) and Microorganisms

The extensive global use of bisphenols (bisphenol A (BPA) and its analogs) is of serious concern to human health and aquatic ecosystems. Aquatic plants and rhizosphere microorganisms can largely affect the environmental fate of bisphenols. In this study, the association between common reed, which is distributed widely in the aquatic environment, and microorganisms existing in the surrounding area of its roots was studied to illustrate its capabilities and possible mechanisms for the removal of five different bisphenols (BPA, bisphenol F, bisphenol P, bisphenol S, and 4,4ʹ-thiodiphenol). Different experimental systems were prepared in the presence and absence of sterile common reeds and aquatic microorganisms. The effects of common reed and microorganisms on the removal of bisphenols differed across compounds. However, the removal of all the bisphenols tested was clearly accelerated in the co-presence of common reed and microorganisms, which indicated the importance of aquatic plant-microorganism association in enhancing bisphenol removal. The results of this study further revealed the major contribution of the distinct mechanism of removal of each bisphenol by the association between common reed and microorganisms.
Predictive Value of KDM5C Alterations for Immune Checkpoint Inhibitors Treatment Outcomes in Patients With Cancer

Lysine (K)-specific demethylase 5C (KDM5C) plays a significant role in the tumor cell proliferation, invasion, drug resistance and the regulation of tumor-related gene expression. Here, we aimed to investigate its predictive value in patients with cancers received immune checkpoint inhibitors (ICIs). We explored the predictive value of KDM5C alterations and the association between KDM5C alteration and immune landscape by using published cohort with clinical outcome and sequenced data from online database. The frequency of KDM5C alterations was 2.1% across 48045 tumor samples with different cancers from 185 studies. KDM5C alterations were correlated with markedly inferior overall survival (OS, 53 vs. 102 months, P<0.0001) than those without. However, in ICI-treated group, patients with KDM5C alterations had a substantially prolonged OS than the wild-type group (not reached vs. 18 months, P=0.0041). The predictive value of KDM5C alterations for ICI treatment outcome was not observed in patients with microsatellite-stable tumors (P=0.2875). Intriguingly, patients with non-small-cell lung cancer and KDM5C alterations receiving ICI had the better progression-free survival than wild type group (13.2 vs. 3.2 months, P=0.0762). Mechanistically, KDM5C altered tumors had dramatically higher TMB level and was associated with significantly higher level of CD8+ T cell infiltration and T effector signature. In conclusion, KDM5C alterations was correlated with enhanced tumor immunogenicity and inflamed anti-tumor immunity, thus resulting in better treatment outcome in cancer patients receiving ICIs.
Potential effects of invasive Dreissenid mussels on a pelagic freshwater ecosystem: using an ecosystem model to simulate mussel invasion in a sockeye lake

Dreissenid (zebra and quagga) mussels are spreading across North America and having an impact on freshwater ecosystems, through bottom-up impacts. Lakes in British Columbia are known to be at risk for mussel invasion due to favourable water chemistry and significant cross-border boat movements. This project uses Ecopath with Ecosim (EwE) to model a hypothetical mussel invasion into Shuswap Lake: one of the most popular lakes for recreation and one of the most productive sockeye lakes in the province. A model of the ecosystem was fit to available data and then projected forward to examine the effects from three different scenarios: no invasion, a base mussel invasion scenario resulting in a carrying capacity of 5 g∙m and 15 g∙m of zebra and quagga mussels, respectively, and a high density invasion scenario resulting in a combined carrying capacity of 40 g∙m of Dreissenid mussels. The greatest ecosystem impacts resulted in declines in large piscivorous rainbow trout and lake trout, followed by non-anadromous kokanee salmon, with little effect observed on anadromous sockeye salmon. Two mechanisms limit the predicted impact of mussels in the study system: (1) paucity of shallow water habitat, limiting the scope for invasion; and (2) movements by fish in and out of the system. This second mechanism includes some resident species that rear for up to three years upstream of the lake, as well as anadromous species, which spend most of their life in the marine environment. While most of the effects are observed on recreationally important species, there is also the possibility of mussels spreading from this system into others within the same watershed, reiterating the importance of preventing the invasion and spread of Dreissenid mussels.
LOCAL GOVERNANCE AND TERRITORIAL DEVELOPMENT ON THE BASIS OF GIS

Dr.Sc. , Professor, Polissia National University, Staryi Blvd. 7, Zhytomyr, Ukraine, 10008. Phone number +380671941192; Email Address Iryna.lytvynchuk@ukr.net Dr.Sc. , Professor, Polissia National University, Staryi Blvd. 7, Zhytomyr, Ukraine, 10008. Phone number +380987174837; Email Address skydanoleg@ukr.net PhD, Associate Professor, Polissia National University, Staryi Blvd. 7, Zhytomyr, Ukraine, 10008. Phone number +380979897215; Email Address olha.ivanuk@gmail.com
A New Enhanced Arabic Light Stemmer for IR in Medical Documents

: This paper introduces a new enhanced Arabic stemming algorithm for solving the informationretrieval problem, especially in medical documents. Our proposed algorithm is a light stemming algorithm for extracting stems and roots from the input data. One of the main challenges facing the light stemming algorithm is cutting off the input word, to extract the initial segments. When initiating the light stemmer with strong initial segments, the final extracting stems and roots will be more accurate. Therefore, a new enhanced segmentation based on deploying the Direct Acyclic Graph (DAG) model is utilized. In addition to extracting the powerful initial segments, the main two procedures (i.e., stems and roots extraction), should be also reinforced with more efficient operators to improve the final outputs. To validate the proposed enhanced stemmer, four data sets are used. The achieved stems and roots resulted from our proposed light stemmer are compared with the results obtained from five other well-known Arabic light stemmers using the same data sets. This evaluation process proved that the proposed enhanced stemmer outperformed other comparative stemmers.
Evaluation of knowledge- Attitude- Practice (KAP) of Intern Dentists in Emergency Management of Traumatic dental Injuries in Permanent Anterior teeth (A Cross-sectional Study)

Background: This cross sectional study aimed to evaluate Egyptian intern dentist’s knowledge, Attitude and Practice in emergency management of traumatic dental injuries in permanent anterior teeth. Materials and Methods: A four-part questionnaire was distributed among 500 intern dentists. Part 1 consisted of 8 questions focusing on personal and professional information, part 2 consisted of 3 close-ended questions and the 4th question was a case which included 9 close-ended questions related to the case, Part 3 consisted of 9 close-ended questions to assess the attitude of intern dentists, and part 4 consisted of 4 close-ended questions related to assessment of practice of intern dentists regarding traumatic dental injuries in permanent anterior teeth in children . The data were analyzed using the t-test at P < 0.05 level of confidence. Results: A total of 500 intern dentists participated in the survey, 235 (47%) were males and 265 (53%) were females. The overall mean age was 23.6 ± 1.3 years. The mean value of knowledge scores was 4.37 ± 1.45. There was no statistically significant correlation between knowledge score of intern dentist and ability to provide proper action when needed. Conclusion: The knowledge of intern dentists regarding the management of traumatic dental injuries in permanent anterior teeth was inadequate.
Towards a Context-Dependent Multi-Buffer Driver Distraction Detection Algorithm

This paper presents initial work on a context-dependent driver distraction detection algorithm called AttenD2.0, which extends the original AttenD algorithm with elements from the Minimum Required Attention (MiRA) theory. Central to the original AttenD algorithm is a time buffer which keeps track of how often and for how long the driver looks away from the forward roadway. When the driver looks away the buffer is depleted and when looking back the buffer fills up. If the buffer runs empty the driver is classified as distracted. AttenD2.0 extends this concept by adding multiple buffers, thus integrating situation dependence and visual time-sharing behaviour in a transparent manner. Also, the increment and decrement of the buffers are now controlled by both static requirements (e.g. the presence of an on-ramp increases the need to monitor the sides and the mirrors) as well as dynamic requirements (e.g., reduced speed lowers the need to monitor the speedometer). The algorithm description is generic, but a real-time implementation with concrete values for different parameters is showcased in a driving simulator experiment with 16 bus drivers, where AttenD2.0 was used to ensure that drivers are attentive before taking back control after an automated bus stop docking and depot procedure. The scalability of AttenD2.0 relative to available data sources and the level of vehicle automation is demonstrated. Future work includes expanding the concept to real-world environments by automatically integrating situational information from the vehicles environmental sensing and from digital maps.
Cross-Time-Frequency Analysis of Volatility Interdependence among Stock and Currency Markets

JEL Classification: G11; G13; G15. Volatility transmission between stock markets and currency markets is an ongoing debate in the pertinent literature. However, the majority of the previous studies have used only daily data with a limited sample. This study aims to fill this gap by identifying how sample stock markets and currencies play the role of volatility transmitter and receiver, particularly on an intraday basis. To this end, this research detects volatility interdependencies among various stock markets and currencies using five major stock indices and six major currency pairs. The results for daily and intraday frequencies are quite disparate. In particular, the results signify that the transmission of volatility from currency markets to stock markets is much stronger on an intraday basis. The results also indicate a strengthening of the volatility transmission and spillover interdependence among stock markets on a daily basis. These results may be ascribed to the continuous trading mechanism of these markets, which in turn allows the news to impact these markets first, which then transmit it to stock markets. The findings obtained also imply that intraday price fluctuations in major currencies should be closely tracked to monitor intraday volatility patterns in stock markets.
Hoverflies (Diptera, Syrphidae) of Wrangel Island (Chukotka Autonomous Okrug, Russia)

This article continues the series of publications devoted to the inventory of the arthropod fauna of Wrangel Island. It summarises previously unpublished data on about 150 specimens of hoverflies in total (Diptera, Syrphidae) collected by various methods (using individual catching, sweeping, yellow pan traps) from 1972 to 2019. Features of the fauna composition and the distribution of hoverflies on Wrangel Island are also discussed. � syn� A opsis of the hoverfly fauna of Wrangel Island consists of 16 species, of which nine have been recorded from this territory for the first time, and one species, Platycheirus pullatus, is new for the �alaearctic region. �he subfam�ily Syrphinae (15 species) includes all the genera which are typical for the tundra zone (Eupeodes, Parasyrphus, Platycheirus, Sphaerophoria, Syrphus), whereas the Eristalinae is represented by a single species, Helophilus groenlandicus. �he core of the fauna is formed by arctic hoverfly species. �bout a third consists of widespread species which are common in the northern part of the tundra zone. �he vast majority of the species found on Wrangel Island are known from singletons. �he most common species is Parasyrphus groenlandicus. In some years, Parasyrphus tarsatus, Eupeodes curtus, Platycheirus aeratus, and P. setitarsis were locally common. On Wrangel Island, the richest hoverfly fauna (12 species) is located in the central, warmest, part, an enclave of a typical tundra subzone. Most of the species found only here (four out of six) were collected in the XXI century, during a warming climate. Despite the clearly incomplete information, the hoverfly fauna on Wrangel Island (where the biota has a long �leistocene history) is much richer than on most other �rctic islands.
Determination of nonylphenol ethoxylate and nonylphenol in wild Carassius auratus from Tianjin

A clean-up method based on GCB solid phase extraction was established to analyze the Nonylphenol Ethoxylates(NPnEO)and Nonylphenol(NP) in Carassius auratus muscle, and the recoveries of each NPnEO and NP ranged from 70.4% to 120%, which is better than that of Al-2O-3 clean-up method. The GCB-LC-ESI-MS and GCB-GC-MS methods were used to determine residual NPnEO(n≥3),NPnEO(n3)and NP in muscle of Carassius auratus from the Tianjin Section of the waste water discharge river of Beijing. The mean concentrations of NPnEO in muscle Carassius auratus ranged from 40 to 680? ng/g (wet weight),and NP were ranged from 30 to 1510? ng/g.The ratio between the concentration in Carassius auratus and in water for NP is 898? ng/g, which is 94 times as higher as that of NPnEO.
Metacognitions of Senior High Students in Solving Mathematics Problems

This is an ethnographic qualitative research of which three main objectives are to describe the 1) advanced, 2) intermediate, and 3) low metacognition levels in solving mathematics problem. In conducting the research, purposive sampling technique was used to determine the research subjects that were the students (i.e. the students with advanced, intermediate, and low metacognition levels) of X IPA 3 class of SMA Negeri 2 Surakarta. The data were collected through observations, documentations, and interviews in which the data validity was measured using triangulation between the sources and the methods used. Afterwards, the data were analyzed inductively. The results of this research suggested that: 1) students with advanced metacognition level are able to perform all the characteristics of awareness aspect in indicator A1, three characteristics of evaluation aspect of indicator E1, and two characteristics of regulation aspect in indicator R1, 2) students with intermediate metacognition level are able to perform four characteristics of awareness aspect in A1, two characteristics of evaluation aspect in E1 indicator, and two characteristics of regulation aspect in R1, 3) students with low metacognition level are able to perform two characteristics of awareness aspect in A1, two characteristics of evaluation aspects in E1, and one characteristic of regulation aspect in R1.
An improved solution of first order kinetics for biochemical oxygen demand

This paper evaluated selected Biochemical Oxygen Demand first order kinetics methods. Domesticinstitutional wastewaters were collected twice in a month for three months from the Obafemi Awolowo University, Ile-Ife waste stabilization ponds. Biochemical Oxygen Demand concentrations at different days were determined using standard method. The Biochemical Oxygen Demand concentrations were used in the first order kinetics parameters (ultimate Biochemical Oxygen Demand and Biochemical Oxygen Demand reaction rate constant) determination using various methods. Accuracies of these methods were evaluated using relative error, Akaike Information Criterion (AIC), Analysis of Variance and model of selection criterion (MSC). The study revealed that ultimate Biochemical Oxygen Demand were in the range of 822 to 1813 mg/L and Biochemical Oxygen Demand removal rate was between -0.442 and -0.134/d. The average of the relative errors (%) ranged between 0.62 and 39.53, while MSC values ranged between -0.91 and 7.59 for the various methods. The results revealed that Microsoft Excel Solver provided an improved description of Biochemical Oxygen Demand removal patterns based on relative error, MSC and AIC. The study concluded that Microsoft Excel Solver, non-linear regression, least squares and Thomas' methods were valuable methods at higher confidence levels based on lower values of AIC and relative errors and high values of MSC. Microsoft Excel Solver method was the best for solving first order kinetics of Biochemical Oxygen Demand. Keywords: Wastewater, Environmental Engineering, Biochemical Oxygen Demand Kinetic Parameters, Statistical Evaluation
Numerical and experimental analysis of the single droplet evaporation in a ultrasonic spray pyrolysis device

ABSTRACT The present study deals with the numerical analysis of the water droplet evaporation in the carrier gas inside an ultrasonic spray pyrolysis (USP) device. Droplet evaporation is studied through numerical computational fluid dynamics simulation using Ansys Fluent version 16.1 software. The governing equations for mass, momentum, and energy contain source terms for the effects of droplet evaporation. The results are provided as time dependent evaporation rate, temperature and diameter of droplet. Additional experimental evaporation of HAuCl4 solution droplets with temperatures of 80, 100 and 120°C was performed on a USP device. The obtained dried particles of gold chloride were characterized with TEM and analysed for their size and shapes to determine the effect of evaporation rate on the dried particle morphology. This provides insight into selecting optimal parameters for gold nanoparticle synthesis with HAuCl4 in USP, for targeted sizes and shapes of the nanoparticles.