Miracle-dz/UniFAR-FTUs huggingface dataset:
Safety and Effects of Intravaginal Administration of Lacticaseibacillus rhamnosus CRL1332 Immobilized on Nanofibers in a Murine Experimental Model

The design of probiotic hygiene products for daily use is considered an adequate alternative for the restoration of the vaginal microbiome, maintaining health, and/or preventing infections of the female urogenital tract. Most of these probiotic products are available on the world market, but their efficacy and safety are not sufficiently documented. One of the requirements to transfer novel probiotic formulas/products to the productive sector is to demonstrate their innocuity and the absence of adverse or collateral effects on the host, mainly assayed in experimental models. The inclusion of beneficial lactobacilli in nanofibers by electrospinning technique has shown promising application possibilities, and the immobilization of Lacticaseibacillus rhamnosus CRL1332 in nanofibers with and without bioprotective substances and their characterization were previously performed by our research group. In this work, the safety of the intravaginal (i.va.) administration of these functional nanofibers in a murine experimental model was evaluated. L. rhamnosus CRL1332 immobilized in different nanofibers was intravaginally inoculated into mice (seven daily doses). Vaginal washes were taken for microbiological (cultivable lactobacilli) and cytological techniques, and the vagina was used for histological and morphological-ultrastructural evaluation. Our results demonstrated that the intravaginal administration of L. rhamnosus CRL1332 immobilized in nanofibers is safe in murine models, given the absence of an inflammatory response at the cytological and histological levels, with minor modifications at the ultrastructural level, and also related to the normal cultivable vaginal microbiota. On the other hand, the number of cultivable lactobacilli increased in the vagina of mice receiving L. rhamnosus CRL1332 nanofibers. The results indicate the safety of lactobacilli-functional nanofibers and support their inclusion in the design of vaginal probiotic products to prevent/treat urogenital infections and reconstitute the women’s vaginal microbiota.
Sap flow modelling based on global radiation and canopy parameters derived from a digital surface model

: Sap flow represents water transport from roots to leaves through the xylem and is used to describe tree transpiration. This paper proposed and tested a procedure to estimate sap flow by calculating global radiation in a digital model of the tree canopy surface obtained by unmanned aerial vehicle imaging. The sap flow of nine trees was continuously measured in the field. In the digital surface model, individual canopies were automatically delineated, their parameters were determined and the global radiation incident on their surface on specific days was calculated. A polynomial relationship was found between sap flow and the calculated incident solar radiation during the morning hours with a coefficient of determination of 0.98, as well as a linear relationship between the decrease in radiation and sap flow during the afternoon with a correlation coefficient of 0.99. Using the Random Forest machine learning method, a model predicting the sap flow of the trees was created based on the global radiation and canopy parameters determined from the digital surface model of tree canopies. The resulting model was deployed on additional days and compared to field measurements of sap flow, achieving a correlation coefficient of 0.918. In addition, two linear regression models were created for a tree group, achieving coefficients of determination of 0.66 and 0.90.
Development of the Semiconductor Industry in Korea: A Stepping Stone to Join the Ranks of Core Countries?

The recent success of Korea's DRAM (dynamic random access memory, commonly known as memory chips) industry has been praised as an exemplary case of a developing economy breaking into a technology intensive and high value added industry. In world-systems theory, high value added production activities are generally concentrated in core countries (developed countries). Thus, successful development of core activities in such high-tech areas as semiconductors in Korea deserves careful attention in evaluating a developing economy's ability to move itself into a developed economy. The paper examines the strengths and limitations of Korea's semiconductor industry to assess its role in transforming the country from a semiperiphery state to a core state. Korea's large conglomerates, called chaebol, were able to get into the DRAM business successfully, thanks to a government policy that gave them lowered bankruptcy risks and higher expected returns on equity. However, given the DRAM industry's present structure in Korea, there is a question as to whether DRAM production in Korea can really be considered a core activity. The paper evaluates DRAM production in Korea in the context of world-systems theory that defines the characteristics of core activities as having: 1) high value added: 2) technology and skill intensity of production: 3) market segmentation that differentiates products from commodities: and 4) backward and forward linkages with local industries. The conclusion drawn from the analysis is that even though the value added from Korea's DRAM production is high at the moment, DRAMs are not a niche market product that have a price inelastic demand curve. With most inputs such as equipment and intermediate materials imported from abroad and the final products sold in the international market, there is an issue as to whether the DRAM production process is a truly technology and skill intensive activity. Also, with DRAMs not having close linkages with the local economy, they are not really conducive to creating the building blocks for flexible high-tech manufacturing districts, an industrial structure that Korea needs to emulate to make the transition from semiperiphery to core.
FD‐DBN: Flow directed deep belief network for accurate anomaly detection in cloud computing

Security becomes the key concern in a cloud environment, as the servers are distributed throughout the globe and involve the circulation of highly sensitive data. Intrusions in the cloud are common because of the huge network traffic that paves the way for intruders to breach traditional security systems with sophisticated software. To avoid such problems, intrusion detection systems (IDSs) have been introduced by various researchers. Each IDS was developed to achieve a particular objective, that is, providing security by detecting intrusions. Most of the available IDS are inefficient and are unable to provide accurate classification. Also, some of them are computationally expensive to be implemented in practical scenarios. This article proposes a new and efficient IDS framework that can accurately classify the intrusion type through effective training to address the existing drawbacks. The proposed framework, named flow directed deep belief network (FD‐DBN), involves three main phases: pre‐processing, clustering, and classification. In pre‐processing, certain data mining operations are carried out to clean the data. The clustering phase is carried out using the game‐based k‐means (GBKM) clustering algorithm. The clustered data is then provided as input to the FD‐DBN classification framework, where the training process is carried out. The deep belief network (DBN) training is performed with dataset features, and the flow direction algorithm is adopted for tuning the weight parameters of DBN. Through tuning, the model yielded accurate classification outcomes. The simulations are done in Python 3.6, and the results proved that the proposed framework is much more effective than the existing IDS frameworks.
New Method to Assess Sagittal Jaw Position: TWM and TWG Angles: A Cephalometric Study

Aim The aim of the study was to develop new cephalometric angles TWM (T-Tuberculum sella, W-wing point, M-maxillary point) and TWG (T-Tuberculum sella, W-wing point, G point-center of mandibular symphysis) and to assess and evaluate the newly developed angles in determining the maxillary and mandibular sagittal position, respectively. Materials and Methods Ninety pretreatment lateral cephalograms from the records of Department of Orthodontics and Dentofacial Orthopaedics were traced and divided equally into three groups as class I, class II, and class III based on cephalometric values of ANB angle and WITS appraisal. Further for each radiograph, angles such as SNA, TWM, SNB, and TWG were measured and recorded. The TWM angle (Maxilla) was formed using the points T-Tuberculum sella, W-wing point, M-maxillary point, and the TWG angle (mandible) was formed using the points T-Tuberculum sella, W-wing point, G point-center of mandibular symphysis. Results The mean values of TWM and TWG angles for the class I group were 120.1°± 3.6° and 101.4 ± 3.7°, respectively. The one-way analysis of variance (ANOVA) was used followed by Tukey post hoc testing to determine whether there was a statistically significant difference between the mean values of the three groups. A p value ≤ . 05 was considered to be statistically significant. Pearson correlation test revealed a strong correlation between SNA and TWM angles and similarly between SNB and TWG angles. Conclusion The two new angles, TWM for maxilla and TWG for mandible established, can be used as an alternative for assessing the sagittal position of the jaw bases and will give a clearer picture, as stable and reproducible landmarks are used.
Epidemiology of Hip Fractures Due to Falls

Background and Objectives: The epidemiological pattern of the hip fracture burden attributable to falls in Central European countries is still insufficiently known. The aim of this study was to assess the regional and national trends of hip fractures due to falls in Central Europe from 1990 to 2019. Materials and Methods: Using the Global Burden of Disease (GBD) 2019 study, this descriptive epidemiological study presents trends in incidence of and Years Lived with Disability (YLDs) from hip fractures due to falls in the region of Central Europe. All estimates (age- and sex-specific rates, and age-standardized rates) were expressed per 100,000. A joinpoint regression analysis was used to assess trends: the average annual percent change (AAPC) with a corresponding 95% confidence interval (95% CI) was calculated. Results: Among all new cases of hip fracture in the population as a whole in Central Europe in 2019, 3.9% in males and 7.0% in females were attributable to falls, while the share of hip fractures due to falls in the population aged 70 and over was 16.9% in males and 20.0% in females. About 400,000 new cases of hip fracture due to falls occurred in the Central European region in 2019 (220,000 among males and 160,000 among females), resulting in 55,000 YLDs (32,000 in females and 22,000 in males). About one-third of all new cases (59,326 in males and 72,790 in females) and YLDs (8585 in males, and 10,622 in females) of hip fractures due to falls were recorded in Poland. From 1990 to 2019, the age-standardized incidence rates of hip fracture due to falls showed a decreasing tendency in females (AAPC = −1.1%), and an increasing tendency in males (AAPC = 0.1%). Both in males and females, YLDs rates of hip fracture due to falls in the Central European region decreased (AAPC = −1.6% and AAPC = −2.4%, respectively). Conclusions: Hip fracture due to falls represents an important health issue in the Central European region, although incidences and YLDs declined in the most recent decades. However, further efforts to reduce the burden of hip fractures attributed to falls are needed.
CORONARY ARTERY DISEASE Original Studies In-Hospital and One Year Outcomes with Drug-Eluting Versus Bare Metal Stents in Large Native Coronary Arteries: A Report From the Evaluation of Drug-Eluting Stents and Ischemic Events Registry

Objectives: We sought to compare the clinical outcomes after perctuaneous coronary revascularization of large coronary arteries using drug-eluting (DES) or bare-metal (BMS) stents. Background: In de novo native coronary lesions with reference diameters of 2.5–3.5 mm, DES reduce target lesion revascularization (TLR) with no increase in death or myocardial infarction (MI). The relative efficacy of DES in larger coronary artery lesions is less certain. Methods: From the prospective Evaluation of Drug-Eluting Stents and Ischemic Events registry, we identified patients undergoing stenting of de novo lesions in native coronary arteries 3.5–5.0 mm in diameter (n 5 1,485). In-hospital and 1-year clinical outcomes were compared for BMS (n 5 282) and DES (n 5 1,203) patients, using propensity stratification to adjust for differences in potential confounding factors. Results: Most patient characteristics were similar for the two groups, but BMS patients were more likely to have been treated in the setting of ST elevation MI, whereas DES patients had more bifurcation lesions, smaller vessels, and longer total stent lengths. In risk-adjusted analyses, the composite endpoint of 1-year death, MI or TLR was similar for BMS and DES (standardized rate: 11.9% vs. 8.5%, P 5 0.10). DES was associated with a 62% reduction in the risk of TLR, although the absolute difference in event rates was small (standardized rates 4.6% vs. 1.8%, P 5 0.016). Conclusions: Among relatively unselected patients undergoing PCI of large native coronary arteries, use of DES was associated with a modest reduction in rates of TLR, with a neutral effect on other ischemic endpoints. VC 2012 Wiley Periodicals, Inc.
Emerging role of quantitative imaging (radiomics) and artificial intelligence in precision oncology

Cancer is a fatal disease and the second most cause of death worldwide. Treatment of cancer is a complex process and requires a multi-modality-based approach. Cancer detection and treatment starts with screening/diagnosis and continues till the patient is alive. Screening/diagnosis of the disease is the beginning of cancer management and continued with the staging of the disease, planning and delivery of treatment, treatment monitoring, and ongoing monitoring and follow-up. Imaging plays an important role in all stages of cancer management. Conventional oncology practice considers that all patients are similar in a disease type, whereas biomarkers subgroup the patients in a disease type which leads to the development of precision oncology. The utilization of the radiomic process has facilitated the advancement of diverse imaging biomarkers that find application in precision oncology. The role of imaging biomarkers and artificial intelligence (AI) in oncology has been investigated by many researchers in the past. The existing literature is suggestive of the increasing role of imaging biomarkers and AI in oncology. However, the stability of radiomic features has also been questioned. The radiomic community has recognized that the instability of radiomic features poses a danger to the global generalization of radiomic-based prediction models. In order to establish radiomic-based imaging biomarkers in oncology, the robustness of radiomic features needs to be established on a priority basis. This is because radiomic models developed in one institution frequently perform poorly in other institutions, most likely due to radiomic feature instability. To generalize radiomic-based prediction models in oncology, a number of initiatives, including Quantitative Imaging Network (QIN), Quantitative Imaging Biomarkers Alliance (QIBA), and Image Biomarker Standardisation Initiative (IBSI), have been launched to stabilize the radiomic features.
CUSTOMER VALUE PROPOSITION DIMENSIONS ON MARKET SHARE OF INDIGENOUS OIL AND GAS COMPANIES

The value customers attached to a product and the choice of such product is paramount to any organisation aspiring to capture larger market share. However, some organisations do not strategically position their products to the minds of customers in terms of functional, monetary, or psychological values, therefore losing a greater percentage of the market share. This study examined the effect of customer value proposition on market share of indigenous oil and gas companies in Rivers State, Nigeria. Survey research design was adopted for the study. The population of study consist of 322 management staff of 11 indigenous oil and gas companies in River state, Nigeria. Total enumeration was used for the study sample size as the population was not large. Primary source of data collection was adopted via a validated instrument. Cronbach alpha reliability coefficients for the constructs ranged from 0.728 to 0.786. Simple random sampling technique was used and 307 copies of the questionnaire came back representing 84%. Data was analyzed using descriptive and inferential statistics. Multiple regression was used to test the hypothesis. Findings revealed that Customer value proposition dimensions (functional, monetary, psychological value proposition) have significant effect on market share of indigenous oil and gas companies in River state, (Adj.R2 = 0.582; F (3, 303) = 143.149, p < 0.05). The study concludes that customer value proposition dimensions have significant effect on the market share of the selected indigenous oil and gas companies in Rivers State, Nigeria. The study recommended that management of the selected indigenous oil and gas companies in River State should invest in enhancing their ICT tools, skills and capabilities. Developing value propositions that are tailored to the specific needs and preferences of their target customers.
The Clinical Association between Carbon Monoxide Poisoning and Myocardial Injury as Measured by Elevated Troponin I Levels

Carbon monoxide (CO) poisoning accounts for over 50,000 estimated emergency room visits and approximately 1200 deaths per year in the US. Despite the high prevalence, there is a paucity of data looking at the association between laboratory biomarkers and clinical outcomes. Our study investigates the association between myocardial injury as assessed by increased troponin levels and its effect on in-hospital outcomes in CO poisoning. A total of 900 sequential charts of patients presenting with CO poisoning between 1 January 2012, and 31 August 2019, at our tertiary center with regional hyperbaric chamber and burn unit, were reviewed. Of the 900, a total of 488 patients had elevated carboxyhemoglobin levels. Of these 488 patients, 119 (24.4%) also had blood troponin levels measured. Patients were stratified based on the presence or absence of myocardial injury as evidenced by highly sensitive serum troponin I (TnI) level > 0.5 ng/mL to determine if a correlation exists relating to myocardial injury and risk of major adverse events. Mean age was 51.2 years, 58.8% were males, 35.3% were non-White, and 10.1% were intentional CO poisonings. Comorbidities included hypertension: 37%, diabetes: 21%, smoking: 21%, hyperlipidemia: 17.6%, coronary artery disease: 11.8%, asthma: 5.9%, heart failure: 5%, atrial fibrillation: 4.2%, and chronic obstructive pulmonary disease: 4.2%. Myocardial injury occurred in 22 patients (18.5%) and was associated with increased likelihood of requiring intensive care admission (54.5% vs. 20.6%, p = 0.002) and intubation (40.9% vs. 14.4%, p = 0.008). TnI elevation was associated with higher in-hospital mortality (p = 0.008, OR 21.3) compared to patients without TnI elevation. Older age was independently associated with increased in-hospital mortality (p = 0.03, OR 1.08). When controlling for age, in-hospital mortality remained statistically significant (p = 0.01, OR 21.37). No significant difference was found with respect to age, comorbidities, gender, race, ethnicity, or hospital length of stay in patients with and without myocardial injury. Myocardial injury induced by CO exposure occurs frequently and adversely affects clinical outcomes. Further research is needed to help guide physicians in the management of CO poisoning and associated myocardial injury to improve patient outcomes.
Diagnostic tests for model structure

It is common knowledge that hydrological models based on inappropriate conceptualisations of the catchment can still be calibrated to give good performance in reproducing discharge records. Calibrated models of this type are unsuitable for many of their intended uses. To improve model conceptualisations and allow models to be tailored for individual applications and catchments, modellers need a toolbox of diagnostic tests for model structure. These tests would use a range of field measurements to allow hydrological modellers to test hypotheses about different aspects of model structure.
An electronically scanned interferometer for electron density measurement on the H-1 Heliac

This thesis reports the development of an Electronically Scanned millimeterwave Interferometer (ELSI) for plasma electron density measurement on the H1 heliac. The ELSI utilised an electronically tunable backward wave oscillator, with output incident on a fixed blazed diffraction grating such that sweeping the source frequency effected a spatial scan of the plasma cross section. The diffracted beams traversed the plasma in < 2 ms, which allowed for up to 50 scans of the plasma for a typical ion cyclotron resonance frequency (ICRF) heated plasma on H1. Benchtop experiments measured the spatial resolution of the ELSI to be ∼20 mm. Tomographic techniques were employed to invert the line averaged measurements to determine localised values of the electron density. A biorthogonal decomposition was used to both reduce noise on the line averaged measurements and also to decouple oscillations from the bulk plasma density. The diagnostic was used to investigate plasma phenomena on H-1. A study into plasma formation and confinement, when using ICRF heating, showed there is a reduction in electron density when a low-order rational is positioned at an average minor radius of approximately 0.10 m. Additional measurements of the electron temperature [1] allowed for a calculation of the plasma electron pressure, and also an estimation of the average plasma electron, βe = 0.01%. Electron density oscillations where observed using ICRF heating, and in conjunction with magnetic field measurements [2] could be categorised into either electrostatic or electromagnetic oscillations. The inferred internal structure of the electromagnetic oscillations is consistent with that determined from magnetic field measurements [2]. Systematic studies of plasma formation using electron cyclotron resonance heating were also performed, showing refraction of the heating radiation to be the main limitation in achieving higher densities in H-1. The use of a ray tracing program H-RAY [3], along with a measurement of the plasma diamagnetism, allowed for a calculation of the electron temperature, and thus an estimation of the electron energy confinement times, τEe = 1.1 ms.
Editorial: Hormone resistance in cancer

COPYRIGHT © 2023 Phoenix, Budreika, Kostlan, Hwang, Fanning and Kregel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. TYPE Editorial PUBLISHED 24 August 2023 DOI 10.3389/fendo.2023. 1272932