Miracle-dz/UniFAR-FTUs huggingface dataset:
Classification of hyperspectral images for detection of hepatic carcinoma cells based on spectral–spatial features of nucleus

A distinguishing characteristic of normal and cancer cells is the difference in their nuclear chromatin content and distribution. This difference can be revealed by the transmission spectra of nuclei stained with a pH-sensitive stain. Here, we used hematoxylin–eosin (HE) to stain hepatic carcinoma tissues and obtained spectral–spatial data from their nuclei using hyperspectral microscopy. The transmission spectra of the nuclei were then used to train a support vector machine (SVM) model for cell classification. Especially, we found that the chromatin distribution in cancer cells is more uniform, because of which the correlation coefficients for the spectra at different points in their nuclei are higher. Consequently, we exploited this feature to improve the SVM model. The sensitivity and specificity for the identification of cancer cells could be increased to 99% and 98%, respectively. We also designed an image-processing method for the extraction of information from cell nuclei to automate the identification process.
A Prospective, Randomized Single-blind Study to Evaluate the Reversal of Soft Tissue Anesthesia in Endodontic Patients

The purpose of this prospective, randomized, single-blind study was to evaluate the reversal of soft tissue anesthesia in endodontic patients. Eighty-five adult subjects (51 females and 34 males) who had asymptomatic teeth requiring endodontic treatment received either OraVerseTM or sham injection(s) at the end of the procedure. Soft tissue anesthesia was monitored by the subjects every 15 minutes for 5 hours. Subjects reported postoperative injection site and experimental tooth pain using a Heft-Parker visual analog scale every 30 minutes for the first two postoperative hours, and every hour for three hours. There was a statistically significant difference in time to return to normal sensation for the maxillary lip/cheek, mandibular lip, maxillary gingiva, and mandibular gingiva. Subjects who received OraVerseTM experienced a 88-minute decrease in time to return to normal maxillary lip/cheek sensation, a 47-minute decrease in time to return to normal mandibular lip and maxillary gingival sensation, and a 41-minute decrease in time to return to normal mandibular gingival sensation. There was a 27-minute decrease in time to return to normal tongue sensation for subjects in the OraVerseTM group, which was not statistically significant. Subjects who received OraVerseTM did not experience significantly more postoperative discomfort at the injection site or from the endodontically-treated tooth. Postoperative complications were minimal, and no adverse reactions to the OraVerseTM
Mechanisms of powdery mildew resistance of wheat – a review of molecular breeding

Powdery mildew (Blumeria graminis f. sp. tritici) results in serious economic loss in wheat production. Exploration of plant resistance to wheat powdery mildew over several decades has led to the discovery of a wealth of resistance genes and quantitative trait loci (QTLs). We have provided a comprehensive summary of over 200 powdery mildew genes (permanently and temporarily designated genes) and QTLs reported in common bread wheat. This highlights the diverse and rich resistance sources that exist across all 21 chromosomes. To manage different data for breeders, here we also present a bridged mapping result from previously reported powdery mildew resistance genes and QTLs with the application of a published integrated wheat map. This will provide important insights to empower further breeding of powdery mildew resistant wheat via marker‐assisted selection (MAS).
Accurate determination of low-field mobility in tri-gate junctionless transistors

The simple device structure of junctionless transistors (JLTs), which lack PN junctions and involve bulk-conduction-based operation, is an attractive component for the future fulfilment of Moore’s law. However, the unique bulk conduction mechanism of JLTs introduces inaccuracies in low-field mobility (μ0) extracted from conventional Y-function method. The top channel width-dependent μ0 error of tri-gate JLTs was investigated using numerical simulation and analytical modeling. This work provides important information for an accurate determination of μ0 in tri-gate JLTs.
Experimental Study On The Development Of Tolerance And Withdrawal Syndrome To Pentylenetetrazole-Induced Seizures In Rats Treated With Retigabine

Summary The aim of the study was to evaluate seizure liability in rats against the convulsant pentylenetetrazole (PTZ) during a 14-day treatment with retigabine (RTG). The seizure liability was also studied on the 1st, 2nd and 3rd day after the abrupt determination of its administration. Male Wistar rats were divided in groups of 10 and treated orally for 14 days (1st – 6th group with distilled water, and 7th – 12th group with retigabine (RTG) at a dose of 60 mg/kg bw The tolerance to the anticonvulsant effect of RTG was studied using subcutaneous injection of PTZ (120 mg/kg bw) on the 1th and 14th day. To determine the possible neuronal hyperexcitability on the 1st, 2nd and 3rd day after termination of drug administration, a lower dose of PTZ (65 mg/kg bw) was used. According to our results there was no change in the anticonvulsant activity of RTG during the whole period of treatment. The study on withdrawal syndrome showed slightly decrease of the effect on the first day after the last treatment, but with no significant difference to the controls. The anticonvulsant effect of RTG on the 2nd and 3rd day was close to that in the control group. Our results showed no development of tolerance on subchronic treatment with RTG. There was no significant change in the neuronal hyperexcitability on the 1st, 2nd and 3rd day after the termination of treatment. Based on these results we can suggest that RTG has no potential to develop withdrawal syndrome.
Understanding the Long-Term Evolution of Mobile App Usage

The prevalence of smartphones has promoted the popularity of mobile apps in recent years. Although significant effort has been made to understand mobile app usage, existing studies are based primarily on short-term datasets with a limited time span, e.g., a few months. Therefore, many basic facts about the long-term evolution of mobile app usage are unknown. In this paper, we study how mobile app usage evolves over a long-term period. We first introduce an app usage collection platform named carat, from which we have gathered app usage records of 1,465 users from 2012 to 2017. We then conduct the first study on the long-term evolution processes on a macro-level, i.e., app-category, and micro-level, i.e., individual app. We discover that, on both levels, there is a growth stage enabled by the introduction of new technologies. Then there is a plateau stage caused by high correlations between app categories and a Pareto effect in individual app usage, respectively. Additionally, the evolution of individual app usage undergoes an elimination stage due to fierce intra-category competition. The inter-diversity of app-category and individual app usage exhibits opposing trends: app-category usage assimilates while individual app usage diversifies. Nevertheless, the intra-diversity of both app-category and app usage declines over time. Also, we demonstrate the country barriers of app category usage. We further investigate how different demographics affect the evolutionary processes of app usage. Our study provides useful implications for app developers, market intermediaries, and service providers.
PBI-1402: A Non-Toxic Immunorestorative Small Molecule for the Treatment of Anemia.

Erythropoiesis is regulated by an intricated network of transcription factors and other molecules that mediate differentiation of stem cell progenitors into erythroid lineage. PBI-1402 is a non-toxic, well-defined chemo- and radio-protective orally active small molecule which stimulates erythropoiesis. In vivo studies demonstrate that PBI-1402 has an immunorestorative effect in anemia induced by phenylhydrazine or lethal irradiation. In phenylhydrazine-induced anemia, PBI-1402 treated mice had an increased number of hematopoietic progenitor cells compared to the control mice. This increase was more pronounced in the erythroid lineage (BFU-E and CFU-E). In myeloablated mice that received a syngeneic bone marrow transplant, oral treatment with PBI-1402 resulted in a significant increase in peripheral erythrocyte count and hemoglobin concentration. In conclusion, these results indicate that PBI-1402 plays an important role in the formation of red blood cells. Therefore, PBI-1402 may be useful for the treatment of anemia associated with chemotherapy, radiotherapy, bone marrow transplantation and cancer.
Comparison of Methods for Feature Selection in Clustering of High-Dimensional RNA-Sequencing Data to Identify Cancer Subtypes

Cancer subtype identification is important to facilitate cancer diagnosis and select effective treatments. Clustering of cancer patients based on high-dimensional RNA-sequencing data can be used to detect novel subtypes, but only a subset of the features (e.g., genes) contains information related to the cancer subtype. Therefore, it is reasonable to assume that the clustering should be based on a set of carefully selected features rather than all features. Several feature selection methods have been proposed, but how and when to use these methods are still poorly understood. Thirteen feature selection methods were evaluated on four human cancer data sets, all with known subtypes (gold standards), which were only used for evaluation. The methods were characterized by considering mean expression and standard deviation (SD) of the selected genes, the overlap with other methods and their clustering performance, obtained comparing the clustering result with the gold standard using the adjusted Rand index (ARI). The results were compared to a supervised approach as a positive control and two negative controls in which either a random selection of genes or all genes were included. For all data sets, the best feature selection approach outperformed the negative control and for two data sets the gain was substantial with ARI increasing from (−0.01, 0.39) to (0.66, 0.72), respectively. No feature selection method completely outperformed the others but using the dip-rest statistic to select 1000 genes was overall a good choice. The commonly used approach, where genes with the highest SDs are selected, did not perform well in our study.
Systematic Review of Suicide Prevention in Veterans

MEDLINE via PubMed Searched March 3, 2015* Concept Search Terms Suicide (("Suicide"[Mesh]) OR "Suicidal Ideation"[Mesh]) OR "Suicide, Attempted"[Mesh] OR (suicide[Title/Abstract] OR suicidal[Title/Abstract] OR suicidality[Title/Abstract] OR parasuicide[Title/Abstract] OR self-harm[Title/Abstract] OR "self-directed violence"[Title/Abstract] OR parasuicidal[Title/Abstract]) NOT "non-suicidal self injury"[Title/Abstract] Prevention "prevention and control" [Subheading] OR "Tertiary Prevention"[Mesh] OR "Secondary Prevention"[Mesh] OR "Primary Prevention"[Mesh] OR (prevent*[Title/Abstract] OR control[Title/Abstract]) Risk Prediction ((((("Risk"[Mesh]) OR "Risk Reduction Behavior"[Mesh]) OR "Risk Assessment"[Mesh]) OR "Risk Factors"[Mesh]) OR "Mass Screening"[Mesh]) OR "Validation Studies" [Publication Type] OR (risk[Title] OR screening[Title] OR screen[Title] OR assessment[Title] OR assessments[Title] OR questionnaire[Title] OR questionnaires[Title] OR instrument[Title] OR instruments[Title] OR tool[Title] OR tools[Title] OR scale[Title] OR scales[Title] OR measure[Title] OR measures[Title] OR correlate*[Title] OR “risk-stratification”[Title] OR predict[Title] OR predicts[Title] OR predictor[Title] OR predictors[Title]) OR (((((((ReACT Self Harm Rule[Title/Abstract]) OR Suicidal Ideation Attributes Scale[Title/Abstract]) OR Suicide Trigger Scale[Title/Abstract]) OR Cultural Assessment of Risk for suicide[Title/Abstract]) OR Affective Intensity Rating Scale[Title/Abstract]) OR Columbia Suicide Severity Rating Scale[Title/Abstract]) OR Edinburgh Risk of Repetition Scale[Title/Abstract]) OR Manchester Self Harm tool[Title/Abstract]
Self Efficacy Of Mother Working In Giving Mother Milk Water With Baby Growth

Background: The paradigm change that there is no difference between men and women demands equal rights between women and men. Many mothers work as career women, so many women replace breastfeeding with formula milk. Based on government regulations No. 33 of 2012, a mother is obliged to give exclusive breastfeeding to her baby.Purpose: This study aims to determine the relationship between self efficacy of working mothers in breastfeeding and infant growth.Method: The type of correlational analytic research is cross sectional approach. The population and sample of working mothers who have babies aged 0-6 months on May 9 to June 6, 2018 at PT Mufasufu Sejati Jaya Lestari MPS Ploso are 30 respondents with a total sampling technique. Independent variable Self Efficacy for working mothers in breastfeeding, dependent variable for infant growth. The growth instrument uses a standard table of body weight/body length from the Ministry of Health and a Self Efficacy questionnaire for mothers to provide breastfeeding. Data analysis using chi square.ResultsThe results of the Chi-Square test analysis at the significance level of α = 0.05 found that ρ <α or 0.048 <0.05, there is a relationship between self-efficacy of mothers working in breastfeeding and growth in infants.Conclusion: The head of the agency/company must provide nursing mothers with exclusive breastfeeding by providing a lactation corner so that the mother can milk the milk and store it in the freezer in the refrigerator and take it home to give to the baby while the mother is working so that the baby continues to get milk without formula milk
Characteristics of Norovirus Food Poisoning Outbreaks in Korea over the Past Ten Years and the Relation with Climate Factors

Objectives: The occurrence of norovirus food poisoning in South Korea has been reported since 2003. This study was performed to investigate the characteristics of norovirus food poisoning outbreaks in Korea from 2006 to 2015 and to analyze the relationship between these outbreaks and climate factors. Methods: Data on norovirus food poisoning outbreaks were obtained from the Korea Ministry of Food and Drug Safety. Data on climate factors were obtained from the Korea Meteorological Administration. Frequency analysis and Pearson’s correlation analysis were adopted for this study. Results: During the study period, norovirus was the greatest contributing factor of food poisoning outbreaks. Approximately half of the outbreaks of norovirus food poisoning occurred in winter. Average temperature, highest and lowest temperatures, precipitation, number of days with rainfall, and humidity all had a significant negative correlation with monthly number of outbreaks of norovirus food poisoning (p<0.05). Among these, the lowest and average temperature showed higher correlation coefficients. However, the sum of the outbreaks in spring and autumn was similar to that of winter, and more than one-third occurred in group meal-service settings, including school lunches. This was strongly assumed as the use of norovirus-contaminated groundwater for preparation of meals in some settings. Conclusion: The cold and dry of the winter season in Korea may assist the transmission of norovirus. Also, the use of groundwater in group meal service is suspected of inducing a larger scale of norovirus food poisoning. Both health authorities and community-based prevention and control measures are required to respond to these complex etiological outbreaks.
Chondroid matrix lesions: a pictorial review

Poster: "ECR 2019 / C-3384 / Chondroid matrix lesions: a pictorial review " by: " I. GALAN GONZALEZ , C. Idoate Ortueta, C. DE BENAVIDES BERNALDO DE QUIROS, P. Fernandez Rico, M. J. Moreno, N. Gomez Leon; Madrid/ES"
Aqueduct 3.0: Updated Decision-Relevant Global Water Risk Indicators

Water is essential to the progress of human societies. It is required for a healthy environment and a thriving economy. Food production, electricity generation, and manufacturing, among other things, all depend on it. However, many decision-makers lack the technical expertise to fully understand hydrological information. In response to growing concerns from the private sector and other actors about water availability, water quality, climate change, and increasing demand, WRI applied the composite index approach as a robust communication tool to translate hydrological data into intuitive indicators of water-related risks. This technical note serves as the main reference for the updated Aqueduct™ water risk framework, in which we combine 13 water risk indicators—including quantity, quality, and reputational risks—into a composite overall water risk score. The main audience for this technical note includes users of the Aqueduct tool, for whom the short descriptions on the tool and in the metadata document are insufficient. This technical note lays out the design of the Aqueduct water risk framework, explains how various data sources are transformed into water risk indicators, and covers how the indicators are aggregated into composite scores. This document does not explore the differences with the previous version. The resulting database and online tools enable comparison of water-related risks across large geographies to identify regions or assets deserving of closer attention. Aqueduct 3.0 introduces an updated water risk framework and new and improved indicators. It also features different hydrological sub-basins. We introduce indicators based on a new hydrological model that now features (1) integrated water supply and demand, (2) surface water and groundwater modeling, (3) higher spatial resolution, and (4) a monthly time series that enables the provision of monthly scores for selected indicators. Key elements of Aqueduct, such as overall water risk, cannot be directly measured and therefore are not validated. Aqueduct remains primarily a prioritization tool and should be augmented by local and regional deep dives.
Modulation of radiative aerosols effects by atmospheric circulation over the Euro-Mediterranean region

Abstract. The present work aims at better understanding regional climate–aerosol interactions by studying the relationships between aerosols and synoptic atmospheric circulation over the Euro-Mediterranean region. Two 40-year simulations (1979–2018) have been carried out with version 6.3 of the Centre National de Recherches Météorologiques (National Centre for Meteorological Research) – Aire Limitée Adaptation dynamique Développement InterNational (CNRM-ALADIN) regional climate model, one using interactive aerosols and the other one without any aerosol. The simulation with aerosols has been evaluated in terms of different climate and aerosol parameters. This evaluation shows a good agreement between the model and observations, significant improvements compared to the previous model version and consequently the relevance of using this model for the study of climate–aerosol interactions over this region. A first attempt to explain the climate variability of aerosols is based on the use of the North Atlantic Oscillation (NAO) index. The latter explains a significant part of the interannual variability, notably in winter for the export of dust aerosols over the Atlantic Ocean and the eastern Mediterranean, and in summer for the positive anomalies of anthropogenic aerosols over western Europe. This index is however not sufficient to fully understand the variations of aerosols in this region, notably at daily scale. The use of “weather regimes”, namely persisting meteorological patterns, stable at synoptic scale for a few days, provides a relevant description of atmospheric circulation, which drives the emission, transport and deposition of aerosols. The four weather regimes usually defined in this area in winter and in summer bring significant information to answer this question. The blocking and NAO+ regimes are largely favourable to strong aerosol effects on shortwave surface radiation and near-surface temperature, either because of higher aerosol loads or because of weaker cloud fraction, which reinforces the direct aerosol effect. Inversely, the NAO− and Atlantic Ridge regimes are unfavourable to aerosol radiative effects, because of weaker aerosol concentrations and increased cloud cover. This study thus puts forward the strong dependence of aerosol loads on the synoptic circulation from interannual to daily scales and, as a consequence, the important modulation of the aerosol effects on shortwave surface radiation and near-surface temperature by atmospheric circulation. The role of cloud cover is essential in this modulation as shown by the use of weather regimes.
A Numerical Study on the Characteristics of Air–Fuel Mixing Using a Fluidic Oscillator in Supersonic Flow Fields

In this study, numerical simulations were conducted to confirm the possibility of improved mixing performance by using a fluidic oscillator as a fuel injector. Three-dimensional URANS non-reacting simulations were conducted to examine air–fuel mixing in a supersonic flow field of Mach 3.38. The numerical methods were validated through simulations of the oscillating flow generated from the fluidic oscillator. The results show that the mass flow rate and momentum are reduced at the outlet because the total pressure loss increases inside the fluidic oscillator, which means that higher pressure needs to be applied to supply the same mass flow rate. The simulation showed that the flow structure varies over time as the injected flow is swept laterally. With lateral injection, the fuel distribution is long and narrow, and asymmetric vortexes are generated. However, with central injection, the fuel distribution is relatively similar to the case of using a simple injector. Compared to the simple injector, the penetration length, flammable area, and mixing efficiency were improved. However, the total pressure loss in the flow field increases as well. The results showed that the supersonic fluidic oscillator could be fully utilized as a means to enhance the mixing effect, however a method to reduce the total pressure loss is necessary for practical application.
Electronic excitation of the 3B2 state of thiophene molecule by low-energy electron collisions

The Schwinger multichannel method is employed to study elastic and electronically inelastic collisions of low-energy electrons by the thiophene molecule. It is well known that the elastic integral cross section for electron-thiophene scattering presents three shape resonances, some of which located around the opening region of the first excited state. The main purpose of this work is to evaluate the influence of polarization effects on the positions of the resonances appearing in the elastic channel and its potential impact on the description of the electronic excitation process involving the transition from ground state to the 3B2 excited state of thiophene. Our cross section results indicate that target polarization may affect the electronic excitation process in the region of the threshold of the 3B2 excited state, but its impact seems to be related to the effect of polarization on the resonances in the elastic channel. More specifically, there are cases (A2 and B1 symmetries) where the overlap of the shape resonance with the threshold changes significantly with the inclusion of polarization resulting in a considerable modification in the magnitude of the electronically inelastic cross section, while in other case (B2 symmetry) a similar overlap is not accompanied by sensible changes in the magnitude of the excitation cross section. Our excitation functions at scattering angles of 90° and 135° are compared with the calculations and measurements of Loupas et al (2018 J. Phys. Chem. A 122 1146) and show in general a qualitative agreement.