Miracle-dz/UniFAR-FTUs huggingface dataset:
Bibliometrics research on radiomics of lung cancer

Background Lung cancer is currently the most commonly diagnosed malignant tumor worldwide. Exploring ways to improve the accuracy and timeliness of diagnosis has important clinical significance. Radiomics transforms images into high-dimensional data, and uses deep learning and artificial intelligence to improve the accuracy and efficiency of disease diagnosis. There is an increasing amount of research on radiomics in the diagnosis of lung cancer. This study analyzes the relevant literature in the Science Citation Index Expanded (SCI-E) database to understand the current research status and future development direction of lung cancer radiomics. Methods This study is based on the SCI-E database. The first search formula is topic = Lung cancer OR Lung neoplasms (#1), the second search formula is topic = Radiomics (#2), and the third search formula is #1 and #2, that is, literature that meets both the first and second search results. CiteSpace software was used to analyze lung cancer radiomics from the annual distribution of articles, countries, institutions, journals, and authors and keywords. HistCite software was used to visualize the citation chronology of the lung cancer radiomics literature, and Pajek software was used to analyze the main path of the citation chronology. Results There were a total of 749 publications, of which most were original articles (529, 70.63%) and reviews (109, 14.55%). The citation frequency is 21,676 times, the h-index is 66, and the average number of citations per publication is 28.94. The research mainly comes from the United States of America, China and other countries. The research institutions are mainly medical centers such as Moffitt Cancer Center, Maastricht University and Harvard Medical School. The authors are also mainly from these institutions. The literature was published in many related journals, mainly imaging and oncology journals. Keyword analysis shows that in recent years, research has focused on deep learning and artificial intelligence. Conclusions The field of lung cancer radiomics is developing rapidly, and the main focuses of research are deep learning and artificial intelligence.
Analysis of blood group antigens on MUC5AC in mucinous ovarian cancer tissues using in situ proximity ligation assay

Abstract MUC5AC has been indicated to be a marker for mucinous ovarian cancer (OC). We investigated the use of in situ proximity ligation assay (PLA) for blood group ABH expressing MUC5AC to differentiate between serous and mucinous OC, to validate preceding observations that also MUC5AC ABH expression is increased in mucinous OC. We developed PLA for anti-A, B, and H/anti-MUC5AC and a PLA using a combined lectin Ulex europaeus agglutinin I (UEA I)/anti-MUC5AC assay. The PLAs were verified with mass spectrometry, where mucinous OC secretor positive patients’ cysts fluids containing ABH O-linked oligosaccharides also showed positive OC tissue PLA staining. A nonsecretor mucinous OC cyst fluid was negative for ABH and displayed negative PLA staining of the matched tissue. Using the UEA I/MUC5AC PLA, we screened a tissue micro array of 410 ovarian tissue samples from patients with various stages of mucinous or serous OC, 32 samples with metastasis to the ovaries and 34 controls. The PLA allowed differentiating mucinous tumors with a sensitivity of 84% and a specificity of 97% both against serous cancer but also compared to tissues from controls. This sensitivity is close to the expected incidence of secretor individuals in a population. The recorded sensitivity was also found to be higher compared to mucinous type cancer with metastasis to the ovaries, where only 32% were positive. We conclude that UEA 1/MUC5AC PLA allows glycospecific differentiation between serous and mucinous OC in patients with positive secretor status and will not identify secretor negative individuals with mucinous OC.
Application of a Combined Adsorption−Ozonation Process for Phenolic Wastewater Treatment in a Continuous Fixed-Bed Reactor

This work studied the removal of phenol from industrial effluents through catalytic ozonation in the presence of granular activated carbon in a continuous fixed-bed reactor. Phenol was chosen as model pollutant because of its environmental impact and high toxicity. Based on the evolution of total organic carbon (TOC) and phenol concentration, a kinetic model was proposed to study the effect of the operational variables on the combined adsorption–oxidation (Ad/Ox) process. The proposed three-phase model expressed the oxidation phenomena in the liquid and the adsorption and oxidation on the surface of the granular activated carbon in the form of two kinetic constants, k1 and k2 respectively. The interpretation of the constants allow to study the benefits and behaviour of the use of activated carbon during the ozonisation process under different conditions affecting adsorption, oxidation, and mass transfer. Additionally, the calculated kinetic parameters helped to explain the observed changes in treatment efficiency. The results showed that phenol would be completely removed at an effective contact time of 3.71 min, operating at an alkaline pH of 11.0 and an ozone gas concentration of 19.0 mg L−1. Under these conditions, a 97.0% decrease in the initial total organic carbon was observed.
Microbial Transformation of Galangin Derivatives and Cytotoxicity Evaluation of Their Metabolites

Galangin (1), 3-O-methylgalangin (2), and galangin flavanone (3), the major bioactive flavonoids isolated from Alpinia officinarum, were biotransformed into one novel and four known metabolites (4–8) by application of the fungal strains Mucor hiemalis and Absidia coerulea as biocatalysts. Their structures were characterized by extensive spectroscopic analyses including one- and two-dimensional nuclear magnetic resonance spectroscopy and mass spectrometry. Compounds 1–7 were evaluated for their cytotoxic activities against cancer cell lines using the MTT assay. The new compound 3-O-methylgalangin-7-O-β-D-glucopyranoside (6) exhibited the most potent cytotoxic activity against MCF-7, A375P, B16F10, B16F1, and A549 cancer cell lines with the IC50 values at 3.55–6.23 μM.
The role of domain expertise in trusting and following explainable AI decision support systems

ABSTRACT Although the roots of artificial intelligence (AI) stretch back some years, it currently flourishes in research and practice. However, AI deals with trust issues. One possible solution approach is making AI explain itself to its user, but it is still unclear how an AI can accomplish this in decision-making scenarios. This study focuses on how a user’s expertise influences trust in explainable AI (XAI) and how this influences behaviour. To test our theoretical assumptions, we develop an AI-based decision support system (DSS), observe user behaviour in an online experiment, complemented with survey data. The results show that domain-specific expertise negatively affects trust in AI-based DSS. We conclude that the focus on explanations might be overrated for users with low domain-specific expertise, whereas it is vital for users with high expertise. Investigating the influence of expertise on explanations of an AI-based DSS, this study contributes to research on XAI and DSS.
The influence of TAS2R38 bitter taste gene polymorphisms on obesity risk in three racially diverse groups

Objectives Bitter taste perception affects food preference, eating behavior, and nutrient intake. The purpose of this study was to investigate the contribution of bitter taste gene polymorphisms to body fatness as measured by percentage of body fat. Method Three common single nucleotide polymorphisms (SNPs) of the TAS2R38 gene which result in amino acid changes in the protein (A49P, V262A, and I296V), were studied in three racially diverse groups: European Americans n = 313, African Americans n = 109, and Asians n = 234. Results The allele frequencies of the three SNPs were similar to previous studies. The rare haplotypes, AAI and AAV, were found in high prevalence in the African American subgroup (22.94%) and European American subgroup (6.07%). The PROP non taster; AVI/AVI diplotype was associated with a higher risk of obesity in European American and Asian but not African American subjects after age adjustment. Conclusions TAS2R38 polymorphisms could be associated with obesity development. In addition to taste perception, nutrient sensing and energy metabolism should be studied in relation to bitter taste receptors to confirm the association between genetic polymorphisms and body fatness. Genetic polymorphisms, race, gender, and environmental factors such as dietary patterns could all contribute to body fat.
Application of Polymerase Chain Reaction in Diphtheria Laboratory Examination: A Field Need

Background: Indonesia is one of the five countries with the highest number of diphtheria cases worldwide. Diphtheria is caused by the toxigenic strains Corynebacterium diphtheriae, C. ulcerans, and C. pseudotuberculosis. The diphtheria-causing bacteria can be identified using conventional and molecular methods, including polymerase chain reaction (PCR) assay. We used the PCR assay as additional testing, because in island countries like Indonesia, specimen transport is a serious challenge to maintaining bacterial survival. Objectives: This study aimed to evaluate the PCR assay as additional testing to identify diphtheria-causing bacteria in the diphtheria laboratory. Methods: In this cross-sectional study, a total of 178 pairs of the throat and nasal swabs from diphtheria suspected cases and close contacts were collected from seven provinces in Indonesia in 2016. All samples were directly identified by the conventional method and multiplex PCR assay. Statistical analysis was conducted using the 2 × 2 tables to determine the sensitivity and specificity of both methods, while the χ2 test was used to examine the correlation between specimen examination delay and the differentiation of results. A P-value < 0.05 was considered as statistically significant. Results: Out of 178 examined samples, eight samples were identified as diphtheria-positive by both the conventional method and PCR assay, while nine samples were only detected by the PCR assay. All diphtheria-causing bacteria found in the positive samples were toxigenic C. diphtheriae. The diphtheria-causing bacteria were found in 27.6% of cases and 6.0% of close contacts using the PCR assay versus 13.8% of cases and 2.7% of close contacts using the conventional method. Statistical analysis showed that the PCR assay is about twice more sensitive than the conventional method. There was a significant correlation between the differentiation of results and > 72 hours’ specimen examination delay with a P-value of 0.04 (< 0.05). Conclusions: The PCR assay is more sensitive than the conventional method to identify diphtheria-causing bacteria and may be applied as additional testing to increase the positivity rate of diphtheria-confirmed cases in Indonesia as an archipelago country where geographical factors and specimen transport are real obstacles.
Faktor yang Mempengaruhi Tax Avoidance dengan Ukuran Perusahaan sebagai Variabel Kontrol

For companies, taxes are costs that reduce profits. The company wants to pay the minimum tax so that the profit earned by the company does not decrease, while from the government side, tax collection is used to finance the implementation of state development. This difference also causes taxpayers to tend to avoid taxes to reduce their tax burden, so that state revenue from the tax sector is still not maximized. This study aims to determine the factors that affect tax avoidance with company size as a control variable. This study uses a sample of trading, service and investment companies in the wholesale and retail trade sub-sector listed on the Indonesia Stock Exchange for the period 2014-2018. The sampling method used in this study was purposive sampling method, where according to the established criteria, 22 companies were obtained and the data used were secondary data. The analysis technique used in this study is multiple linear regression analysis using the Statistical Product and Service Solutions (SPSS) v.20. 0 program. The results show that Leverage, Sales Growth and Company Size have a positive effect on tax avoidance, while liquidity and fixed asset intensity have no effect on tax avoidance, thus company size can control Leverage and Sales Growth to influence tax avoidance.
Balancing between stability and change in Agile teams

PurposeThis study aims to create a better understanding of how practitioners implement and work Agile while balancing the tensions arising between stability and change.Design/methodology/approachA grounded theory approach was used to explore what happens in practice when software development teams implement and work Agile. The empirical data consists of twenty semi-structured interviews with practitioners working in fourteen different organizations and in six different Agile roles.FindingsAs a result, a substantive theory was presented of continuously balancing between stability and change in Agile teams. In addition, the study also proposes three guidelines that can help organizations about to change their way of working to Agile.Research limitations/implicationsThe inherent limitation of a grounded theory study is that a substantial theory can only explain the specific contexts explored in that study. Thus, this study's contribution is a substantial theory that needs to be further developed and improved.Practical implicationsThe proposed guidelines can help organizations about to change their way of working to Agile. They can also assist organizations in switching from “doing Agile” to “being Agile”, thus becoming more successful.Originality/valueThe new perspective that this study contributes is the fact that our discovered categories show that several inherent processes are ongoing at the same time in order to balance the need to have both stability and change.
Virtual Reality Visualization of CFD Simulated Blood Flow in Cerebral Aneurysms Treated with Flow Diverter Stents

Virtual reality (VR) has the potential to be a powerful tool for the visualization of simulated blood flow in cerebral aneurysms. This paper presents our study aimed at developing the VR visualization of computational fluid dynamics (CFD) simulations of cerebral aneurysms treated with flow-diverting (FD) stents. First, a spherical sidewall aneurysm located at a simplified internal carotid artery was considered for investigating the impact of stent deployment and positioning on the corresponding spatially time-varying blood flow behavior. The three-dimensional unsteady blood flow over a cardiac cycle was simulated numerically using the finite volume method, and the distributions of hemodynamic parameters inside the aneurysm sac, and on its wall, were presented with and without stent cases. Two stent positions, with and without a gap between the artery wall and stent, were considered to show the influence of correct stent position on aneurysm treatment. Second, a straightforward workflow was developed to import, process, and visualize the CFD analysis data in a VR environment by using open-source software with a high resolution. The Unity3D engine was used for displaying the processed animations in a VR environment operated on a head-mounted display (HMD). The refining process of each frame of time-varying CFD data was automated. The animated flow elements rendered in the VR environment were velocity vectors, velocity contours, streamlines, particle traces, and point clouds. CFD results showed that proper stenting facilitates thrombosis and occlusion of the aneurysm by modification of the flow patterns, which leads to lower inflow jet velocities into the aneurysm, longer turnover time, lower aneurysm-averaged kinetic energy, and lower wall shear stress. Additionally, the results indicated that a gap between the stent and the parent artery may lead to undesirable hemodynamic alterations. The VR visualization illustrated that the recognition of the potential in danger regions of aneurysms and the evaluation of the performance of FD stents in aneurysm treatment can be conducted without the need for several slices through the parent artery and aneurysm, as is required for traditional postprocessing methods. Through VR visualization, the details of the simulation results become readily available by navigating in the 3D animated flow elements using a high-degree-of-freedom headset.
Automatic Identification of Roadway Horizontal Alignment Information Using Geographic Information System Data: CurvS Tool

This paper introduces CurvS, a web-based tool for researchers and analysts that automatically extracts, visualizes, and analyzes roadway horizontal alignment information using readily available geographic information system roadway centerline data. The functionalities of CurvS are presented along with a brief background on its methodology. The validation of its estimation results are presented using actual horizontal alignment data from two different roadway types: Route 83, a two-lane two-way rural roadway in New Jersey and I-80, a freeway segment in Nevada. Different metrics are used for validation. These are identification rates of curved and tangent sections, overlap ratio of curved and tangent sections between estimated and actual horizontal alignment data, and percent fit of curve radii. The validation results show that CurvS is able to identify all the curves on these two roadways, and the estimated section lengths are significantly close to the actual alignment data, especially for the I-80 freeway segment, where 90% of curved length and 94% of tangent section length are correctly matched. Even when curves have small central angles, such as the ones in Route 83, CurvS’s estimations covers 71% of curved length and 96% of tangent section length.
Agreement between estimated date of delivery determined by last menstrual period and ultrasound: A prospective cohort of Tanzanian women

In Tanzania, the estimated delivery date (EDD) is mainly determined by the last menstrual period (LMP), presumably leading to inaccurate estimates with a falsely high proportion of post-term and preterm deliveries. The study aimed to compare EDD determination by LMP and ultrasound in pregnant Tanzanian women and examine how the dating method affects the proportions born preterm, at term, and post-term and assess how maternal characteristics relate to wrongly EDD determination by LMP. 1123 women attending antenatal care in Moshi, Tanzania were included. Gestational age (GA) at birth was calculated according to LMP and ultrasound separately. The distribution of preterm (GA 294 days) births was examined separately for LMP and ultrasound. According to LMP, 17.0% of deliveries were preterm and 17.6% post-term. According to ultrasound, 7.7% of deliveries were preterm and 3.4% post-term. Unplanned pregnancy was associated with an increased odds ratio of 3.06 (95% CI: 1.91-4.91) for preterm delivery when LMP was used for EDD determination instead of ultrasound. Parity 3+ was associated with an increased odds ratio of 2.12 (95%CI: 1.16-3.89) for post-term delivery when EDD was assessed by LMP. LMP based EDD increased the preterm birth rate two times and the post-term birth rate five times compared to ultrasound-based EDD. Key words: Gestational age, pregnancy length, last menstrual period (LMP), dating methods, preterm, post term, Africa.
Evaluation of a Fixed Spraying System for Phytosanitary Treatments in Heroic Viticulture in North-Eastern Italy

Modern viticulture cannot be practiced without the use of plant protection products to control diseases like downy mildew, powdery mildew, and pests. In severely sloping vineyards, where mechanization is not possible, pesticide application is realized using spray guns, which is a laborious, expensive, and dangerous application technique. In these vineyards, where viticulture is defined as “heroic viticulture,” vine-growers could seriously take advantage of innovation in spray-technique applications. For this reason, several prototypes of a fixed spraying system (FSS) were realized in recent years. Two prototypes of a fixed spraying system were built in 2019 in two different vineyards in the Veneto region (north-eastern Italy). In both vineyards, the fixed spraying systems were used to perform pesticide application during the 2020 season to control downy mildew, powdery mildew, and pests. With this solution, both vineyards were successfully protected, resulting in comparable infection degrees and yields as the ones protected with airblast sprayers and spray guns. This study contributes to assert fixed spraying systems as an innovation that could improve working conditions, safety, timing, and performances of plant protection products’ application in heroic viticulture areas.
Factors Influencing Consumer’s Adoption of Renewable Energy

The objective of this study was to investigate the factors that influence the consumer adoption of renewable energy in Thailand. The study adopted an extended theory of planned behavior (TPB) by including three additional variables. The study applied a quantitative study methodology, with primary data collected using a survey of consumers in five major cities in Thailand. The data were analyzed using structural equation modeling (SEM). The findings of the study indicated that perception of self-effectiveness, environmental concern, renewable energy awareness, and beliefs about renewable energy benefits have a significant and positive effect on consumers’ intention to adopt renewable energy. The cost of renewable was found to have a negative but non-significant influence on consumers’ adoption of renewable energy, while risk/trust perception was found to have a positive but non-significant influence on consumers’ adoption of renewable energy. The study concluded that stakeholders should take into account the aspects of perception of self-effectiveness, environmental concern, renewable energy awareness, and beliefs about renewable energy benefits when running campaigns to promote the consumer adoption of renewable energy in Thailand