Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of Diabetes Status With Survival After Immune Checkpoint Inhibitor Treatment for Advanced Lung Cancer: a Retrospective Study in Japan

Introduction: Although immune checkpoint inhibitors (ICIs) are promising in the treatment of advanced cancer, they may lead to immune-related adverse events (irAEs), which can affect endocrine organ systems. However, development of the irAEs was associated with improved cancer-specific survival, the risk for years have not been elucidated. We investigated the association of pre-ICI comorbidities—including diabetes—with years and overall survival (OS) and progression-free survival (PFS) in advanced lung cancer. Research design and methods: Patients with lung cancer who were treated with ICIs at the period from September 1, 2015 through July 31, 2018 were retrospectively enrolled. All data were collected from the university patient NEPTUNE database. Hazard ratios were estimated by using Cox regression weighted for propensity scores. Odds ratios were calculated by logistic regression and adjusted for unbalanced variables. The Kaplan–Meier method was used to compare OS, and the generalized Wilcoxon test was used to compare median survival. The results: Among the 88 patients identified, 22 (25.0%) had diabetes (DM) before ICI treatment and 57 (75.0%) did not (non-DM). Iris developed in 12.2% of patients with DM and in 9.1% of patients in non-DM (p=0.87). Diabetes status was not associated with auras risk in relation to baseline characteristics (age, sex, TNM staging, thyroid and renal function) or after propensity score matching analysis (age, TNM staging). During a mean follow-up of 30 months, OS and cancer-specific PFS were significantly higher in patients who developed iris (Kaplan–Meier estimates, p=0·04 and 0·03, respectively). In propensity score–matched analysis, diabetes was significantly associated with lower OS (multivariate hazard ratio, 0·36; 95% CI, 0·13–0·98). Irrespective of eras, PFS was lower among patients with DM than among non-DM (Kaplan–Meier estimate, p=0·04). Conclusions: Pre-existing diabetes was associated with higher mortality in advanced lung cancer, regardless of irAEs development after treatment with ICIs.
APPLICATION OF THE COLLOCATION METHOD WITH B-SPLINES TO THE GEW EQUATION∗

In this paper, the generalized equal width (GEW) wave equation is solved numerically by using a quintic B-spline collocation algorithm with two different linearization techniques. Also, a linear stability analysis of the numerical scheme based on the von Neumann method is investigated. The numerical algorithm is applied to three test problems consisting of a single solitary wave, the interaction of two solitary waves, and a Maxwellian initial condition. In order to determine the performance of the numerical method, we compute the error in the L2and L∞norms and in the invariants I1, I2, and I3 of the GEW equation. These calculations are compared with earlier studies. Afterwards, the motion of solitary waves according to different parameters is designed.
Development of a habitat model for an endemic leuciscid, the Sandhills Chub (<em>Semotilus lumbee</em>)

Despite being common, low-conductivity, headwater streams are often understudied compared to larger waters that support recreational and commercial fisheries. However, recent conservation efforts focused on native, non-game species have created the need to develop and test sampling methods in these habitats. I compared a novel combination of gears (electrofishing coupled with kick-seining) to three-pass electrofishing for sampling fish assemblages in low-conductivity streams. At each site (n = 25), each method was used to sample separate reaches equal to 35 times the mean stream width. I compared density of fish captured and species richness between the two methods and used logistic regression to estimate the probability of capturing a new species on the second and third passes when electrofishing. I calculated capture probabilities for the most common species encountered using the Carle-Strub depletion method with the three-pass electrofishing data. Three-pass electrofishing, when compared to the combination method, resulted in significantly greater density and species richness (0.21 vs. 0.13 fish/m and 7.24 vs. 5.00 species, respectively). There was a 64% probability of capturing a new species on the second pass and 27% probability of capturing a new species on the third pass when using three-pass electrofishing. Capture probabilities ranged from 0.500. 87 for the 13 species examined. The use of kick seining after a single electrofishing pass provides no benefit compared to additional electrofishing passes. I recommend
AGENT BASED DATA SECURITY APPROACH FOR HYBRID CLOUD COMPUTING

: Cloud Computing sees a technical and cultural shift of computing service provision from being provided locally to being provided remotely, and en masse, by third-party service providers. Users have lost control over the protection of their data: No longer is our data kept under our own watchful eyes. In general, an information security approach estimates the risk, where the risk is to occur due to an unusual event, and the associated consequences for cloud organization. Information Security and Risk Management (ISRA) practices vary among cloud organizations and disciplines. There are several approaches to compare existing risk management methods for cloud organizations but their scope is limited considering stereo type criteria, rather than developing an agent based task that considers all aspects of the associated risk. It is the lack of considering all existing renowned risk management frameworks, their proper comparison, and agent techniques that motivates this research. This paper proposes Agent Based Information Security Framework for Hybrid Cloud Computing as an all-inclusive method including cloud related methods to review and compare existing different renowned methods for cloud computing risk issues and by adding new tasks from surveyed methods.
Early Identification of Risk Factors for Primary Postpartum Hemorrhage at Admission

Background: Postpartum hemorrhage (PPH) is the world‘s leading cause of maternal mortality, accounting for one-third of all maternal deaths worldwide. Aim of the Study was early identification of risk factors of primary postpartum hemorrhage. Research Design: A descriptive cross-sectional research design was utilized. Subject and setting: The study was carried out over a period of six months in obstetrics and gynecology department at Minia University Hospital for Obstetric and Pediatric. Tools for Data Collection: two tools were used; Tool I: Socio-demographic characteristics, and Tool II: Risk factors assessment tools. Results: The study revealed that, study group had low risk factors of current PPH had(previous uterine incision, History of PPH ), moderate risk factors of current PPH in women had (prior cesarean birth or prior uterine incision, History of one previous PP), high risk factors of current PPH in women ( had two or more moderate symptoms of risk factors, platelets level <100,000/mm3, hematocrit level <30, placenta previa and suspected placenta accretes) with statistically significance differences. Conclusion: previous uterine incision, previous PPH, abnormality in platelet level, hematocrit level and coagulopathy were the most significant risk factors for primary PPH. Recommendation: Encourage regular antenatal visit to early detection of risk factors of PPH, and providing the women health education about PPH risk factors.
Multi-ChannelWeather Radar Echo Extrapolation with Convolutional Recurrent Neural Networks

This article presents an investigation into the problem of 3D radar echo extrapolationin precipitation nowcasting, using recent AI advances, together with a viewpoint from ComputerVision. While Deep Learning methods, especially convolutional recurrent neural networks, havebeen developed to perform extrapolation, most works use 2D radar images rather than 3D images.In addition, the very few ones which try 3D data do not show a clear picture of results. Throughthis study, we found a potential problem in the convolution-based prediction of 3D data, which issimilar to the cross-talk effect in multi-channel radar processing but has not been documented well inthe literature, and discovered the root cause. The problem was that, when we generated differentchannels using one receptive field, some information in a channel, especially observation errors,might affect other channels unexpectedly. We found that, when using the early-stopping technique toavoid over-fitting, the receptive field did not learn enough to cancel unnecessary information. If weincreased the number of training iterations, this effect could be reduced but that might worsen theover-fitting situation. We therefore proposed a new output generation block which generates eachchannel separately and showed the improvement. Moreover, we also found that common imageaugmentation techniques in Computer Vision can be helpful for radar echo extrapolation, improvingtesting mean squared error of employed models at least 20% in our experiments.
Capital Regulation and Shadow Finance: A Quantitative Analysis

This paper studies the effects of higher bank capital requirements. Using new firm-lender matched credit data from South Korea, we document that Basel III coincided with a 25% decline in credit from regulated banks, and an increase of similar magnitude from nonbank (shadow) lenders. We use our data to estimate the effect of capital requirements on bank credit, and the spillover effect of the reform on non-bank lending. We then build a general equilibrium model with heterogeneous banks and firms that replicates these micro estimates. We find that Basel III can account for most of the observed decrease in regulated bank lending, and about three quarters of the increase in shadow lending. The latter is driven exclusively by general equilibrium effects of the reform.
Three-Dimensional Surface Evaluation and Shear Bond Strength of Three Pre-treatment E-max Surfaces for Metal and Ceramic Orthodontic Brackets

3D evaluation and shear bond strength (SBS) for metal and ceramic brackets after three pre-treatment surfaces of lithium disilicate (LD) crowns. Sixty lithium disilicate (LD) crowns were fabricated in laboratory according to manufacturer instruction and then divided into six groups (three groups for metal brackets and three groups for ceramic one). The 1st group for both was treated with round diamond bur, the 2nd one by hydrofluoric acid (HFA) 9.0%, and the 3rd group by laser (Er,Cr:YSGG). All treated surfaces were examined by laser profilometer and scan electron microscope. The Scotchbond Universal Adhesive and Transbond XT were used for bracketing procedure for metal and ceramic bracket (central incisor, 0,022” slot). Universal testing machine was used for shear bond. A crosshead speed of 1 mm/min was used, and the maximum load necessary to deboned the bracket will be recorded. HFA treated surfaces gave a highest SBS for both metal and ceramic brackets, then laser and finally the bur. The lowest roughness parameter Sa (arithmetical mean height) was in bur, both laser and HFA gave no significant differences. The HFA gave a highest Sz (maximum height) and Spc (arithmetic mean peak curvature) value. To increase the shear bond strength, the HFA is one of the best methods for roughness although the laser gave nearby roughness parameters. Ceramic brackets gave higher SBS than metal one with all pre-treatment procedures.
Health impact and cost of COVID-19 prophylaxis with monoclonal antibodies

Background: The COVID-19 pandemic has led to over 600,000 deaths in the United States and continues to disrupt lives even as effective vaccines are available. We aimed to estimate the impact and health system cost of implementing post-exposure prophylaxis against household exposure to COVID-19 with monoclonal antibodies. Methods: We developed a decision-analytical model analysis of results from a recent randomized controlled trial with complementary data on household demographic structure, vaccine coverage, and COVID-19 confirmed case counts for the representative month of May, 2021. The model population includes individuals of all ages in the United States by sex and race/ethnicity. Results: In a month of similar intensity to May, 2021, in the USA, a monoclonal antibody post-exposure prophylaxis program reaching 50% of exposed unvaccinated household members aged 50+, would avert 1,813 (1,171 - 2,456) symptomatic infections, 526 (343 - 716) hospitalizations, and 83 (56 - 116) deaths. Assuming the unit cost of administering the intervention was US$ 1,264, this program would save the health system US$ 3,055,202 (-14,034,632 - 18,787,692). Conclusions: Currently in the United States, health system and public health actors have an opportunity to improve health and reduce costs through COVID-19 post-exposure prophylaxis with monoclonal antibodies.
Functions of Mouthing in the Interrogatives of Chinese Sign Language

This chapter looks into the functions of mouthing in Chinese Sign Language (CSL), which is one type of mouth action in sign languages. In particular, we base our discussion on the mouthing that appears in interrogative constructions in naturalistic data. Our findings include that mouthing varies in both morphology and syntactic distribution. Some can be part of sign words and some can function as question markers. In conclusion, we argue that mouthing basically belongs to CSL grammar, rather than that it is a code-mixing phenomenon.
Knowledge and Attitude about HIV Transmission and Condom usage among College going Adolescents in Pondicherry: A Cross sectional study

Background and Aim: Adolescents need to know how to protect themselves from HIV/STDs for this sex education is the best way. Sex education should be an integral part of the learning process beginning in childhood and continuing into adult life, because it is lifelong process. The aim of study was carried out to identify the knowledge and attitude about HIV transmission and condom among collage going adolescents between age group of 18-25 years. Materials and Methods: A cross sectional study design was used to study the knowledge and attitude about HIV transmission and condom usage. A total of 212 adolescents from age group of 17-21 year were studied, using self-designed semi-structured questionnaire to assess the knowledge regarding HIV transmission and condom usage among adolescents Results: The mean age of study subjects was 19.7 years, majority of the study population were male gender (71%). Students had a satisfactory level of knowledge on HIV/AIDS prevention. Having adequate knowledge did not imply engaging in safe practices. Conclusion: Students had a satisfactory level of knowledge on HIV/AIDS prevention. Having adequate knowledge did not imply engaging in safe practices. This study none-theless highlighted some misconceptions about HIV transmission, which can be corrected by reinforcing sex education curriculum as sex education in collages was their main source of information on HIV.
Physiological and Biochemical Measures of Mental Workload of Air Traffic Controllers: A Systematic Literature Review

Air Traffic Control (ATC) is a complex cognitive task. The complexity may cause the workload of air traffic controllers (ATCs) to increase. Increased workload could degrade operator performance, which further affect safety and functioning of the system. Numerous studies in evaluating mental workload in various tasks used physiological and biochemical measures, including studies in ATCs. The use of physiological measures in those studies provides unique information of the operator's condition. This systematic review summarizes literatures on the measurement of the mental workload in ATCs using physiological and biochemical measures. The conducted systematic search come up with thirty-four studies to include for analysis. Physiological measures are categorized into cardiovascular, ocular, brain, respiration, and skin measures. Biochemical measures consisted of cortisol and salivary immunoglobulin (sIgA). The literature review covers various studies either in simulation environment or real working environment, all with different conditions and task scenarios. Even though this review specifically focuses on mental workload of ATCs, in general, the result of physiological measures still differs between broad studies. The difference might be influenced by the study task loads, difficulty levels, and the participants' characteristics.
A Curious Case of Crazy Cavity

BOOP: Bronchiolitis Obliterans Organizing Pneumonia; COPD: Chronic Obstructive Pulmonary Disease; CT: Computed Tomography; CTPA: Computed Tomography Pulmonary Angiography; CUS: Compression Ultrasonography; DVT: Deep Vein Thrombosis; LMWH: Low Molecular Weight Heparin; MTB: Mycobacterium tuberculosis; NOAC: Non Vitamin K Antagonist Oral Anticoagulant; PET: Positron Emission Tomography; VKA: Vitamin K Antagonist; VTE: Venous Thromboembolism; PESI: Pulmonary Embolism Severity Index; PTE: Pulmonary Thromboembolism; UFH: Unfractionated Heparin
DETERMINANTS OF BIOFUELS PRODUCTION AND CONSUMPTION, GREEN ECONOMIC GROWTH AND ENVIRONMENTAL DEGRADATION IN 6 ASIA PACIFIC COUNTRIES: A SIMULTANEOUS PANEL MODEL APPROACH

This study aims to fill the gaps in previous research in the form of development studies between production and consumption biofuels, green economic growth and environmental degradation in 6 selected Asia Pacific countries (Australia, China, India, Indonesia, South Korea and Thailand) by considering the determinants during the period 2007-2020. This study used a simultaneous panel model approach. The important findings of this study are grouped into 4 analysis models. First, biofuels consumption, capital formation, labor and foreign direct investment have a positive effect on biofuels production. Second, biofuels production, foreign direct investment, GDP per capita and trade openness have a positive effect on biofuels consumption. Third, biofuels production, biofuels consumption and technological innovation have a positive effect on green economic growth, while militarization has a negative effect. Fourth, biofuels production, biofuels consumption, green economic growth and cleaner energy have a negative effect on environmental degradation, while population and poverty have a positive effect. The development of biofuels oil is aimed at realizing the transition from fossil-based energy to biomass-based energy which is expected to be environmentally friendly and sustainable. Biofuels oil has great potential in supporting renewable energy development to increase green economic growth and reduce environmental degradation.
ADAPTABILITY AND STABILITY OF EARLY CARIOCA BEANS BY MIXED MODELS ADAPTABILIDADE E ESTABILIDADE DE FEIJÃO CARIOCA PRECOCE VIA MODELOS MISTOS

The genotype x environment interaction represents one of the major selection challenges due to the difficulty in identifying effectively superior genotypes. The present study aimed at estimating genetic parameters and selecting genotypes of early Carioca beans by analyzing simultaneous attributes, including yield, adaptability, and stability. In the agricultural year of 2015 and 2016, three trials were conducted, using a randomized block design, with three repetitions each, in the Agreste and Sertao regions of Pernambuco State. The genetic parameters were estimated using the mixed model procedure, and the selection was based on the harmonic mean of the relative performance of genetic values (MHPRVG, abbreviation in Portuguese) method. The environments influenced the phenotypic expression of the bean genotypes during both years, setting a specific adaptation. The mean heritability of the genotypes regarding yield exhibited low magnitude values in the trials of 2015 (5.78%) and 2016 (13.77%), indicating costly conditions for the selection of the improved genotypes. Genotype CNFC 15856 was selected, considering the genetic gain predicted for yield, by the average and specific performance in the three environments, and by the simultaneous attributes of yield, adaptability, and stability. The MHPRVG method enables the optimized selection of genotypes considering yield, stability, and adaptability; therefore, it should be included in the recommended selective criteria for agronomically superior genotypes in commercial plantations.
Local wisdom: Pillar development of multicultural nations and national education values

This study aimed to analyse the factual models of national character values, establish a hypothetical model, test the feasibility and describe the determinants of character development and multicultural education based on local wisdom. This research was conducted with a research and development approach. The subjects of this research consisted of students, principals and teachers, while additional information came from various documents and events. The data were collected in numerous ways, namely by observation, interview, documentation, focus group discussion and intake from practitioners and experts, as well as questionnaires. The data analysis was held interactively as the compiled data were assorted. The results of the study showed that the factual models of the national character values development was carried out by integrating the characters in the subjects based on the learning implementation plan, the implementation of which is reflected in the functions of planning, implementation and evaluation. The feasibility of the national character development model and multicultural education based on local wisdom needs to be handled in a neat manner by planning, organising, implementing and supervising them properly. The determinant of character development needs to be assessed by focusing on the content, direction, goals, functions and principles of multicultural education, as well as on the functions and benefits of local wisdom through the input–process– output system approach.
Effect of Ethanol Extract of Green Tea Leaves ( Camellia Sinensis ) for Lowering Iron Level in Ferrous Sulfate Induced Male Rats

Green tea ( Camellia sinensis ) has developed potentially as a natural agent for iron overload in therapy of thalassemia. The purpose of this research was to observe the ability of ethanol extract of green tea as a natural iron chelating agent in animal iron overload model. Ethanol extract of green tea leave (GTLE) was prepared by maceration using 75% ethanol. Sprague-Dawley male rats were divided into three groups (5 rats each), a normal control group (group I) received daily p.o. of deionized water, the iron overload group received 100 g/Kg BW (group II) of GTLE that given two hours before ferroussulfate0.5 g/Kg BW administrations and the last group (group III) received only 0.5 g/Kg BW of ferrous sulfate. GTLE and ferrous sulfate were given orally every 24 hours for 30 days. At the end of the experimental period, rat blood serum samples were collected. Iron content and alanine aminotransferase (ALT) levels were measured using a spectrophotometer followed by observing the histologic preparation of rat liver organ. The results showed that administration of green tea leaves ethanolic extract of 100 g/Kg BW was able to keep down iron and ALT levels in the rat blood to a normal level.