Miracle-dz/UniFAR-FTUs huggingface dataset:
Association between ABO Blood Group and Various Types of Cancer: A Case–Control Study in Greek Adults

Introduction: The association between ABO blood group and cancer has been identified in many epidemiological researches. The aim of the current research was to investigate the association between ABO blood group and the risk of several types of cancer in a Greek adult population. Materials and Methods: A total of 459 individuals who suffered from various types of cancer and 918 non-cancer individuals were enrolled. Blood group data obtained from registration on identity patient’s card. The associations between ABO blood group and cancer estimated using a multivariate logistic regression analysis model, whereas a multinomial model was carried out to estimate adjusted odds ratios for each type of cancer separately. Results: The risk of overall cancer in blood groups A and B individuals was significantly higher than that in O and AB groups, (P = 0.001, OR = 1.96, 95%CI = 1.33–2.87, and P ≤ 0.0001, OR = 2.04 95% CI=1.43–2.90, respectively). Compared to blood type O, blood type A was significantly associated with an increased risk of gastric (P = 0.002, OR = 2.55, 95% CI = 0.55–4.30), colorectal (P = 0.046, OR = 2.06, 95%CI = 0.82–2.58), pancreatic (P = 0.034, OR = 2.23, 95% CI = 1.02–2.83), and lung cancer (LC) (P = 0.022, OR = 2.78, 95% CI = 1.63–5.49), whereas blood type B was significantly associated with an increased risk of esophagus cancer (P = 0.051, OR = 1.26, 95% CI = 0.83–1.50), after adjusting for age, gender, educational and socio-economic status, smoking, and family history of cancer. Conclusion: The overall cancer risk in blood groups A and B individuals was significantly higher compared to blood type O and AB, whereas blood type A was significantly associated with an increased risk of gastric, colorectal, pancreatic, and LC.
HPMA‐PEG Surfmers and Their Use in Stabilizing Fully Biodegradable Polymer Nanoparticles

The most adopted methods to produce polymer nanoparticles (NPs) for medical and pharmaceutical applications use surfactants that are toxic and physically adsorbed to the NPs, with the risk of desorption and insurgence of side effects. A valid alternative is represented by the use of surfmers, reactive surfactants that are chemically linked to the polymer chains, thus avoiding the release of toxic species. In this case, the lack of biodegradable surfmers introduces the concern of polymer accumulation into the body. In this work, biodegradable, poly(ethylene glycol) (PEG)ylated N-(2-hydroxypropyl) methacrylamide (HPMA) based surfmers are synthesized and used to stabilize lipophilic NPs. In particular, the NP core is made from a macromonomer comprising a poly(lactic acid) (PLA) chain functionalized with HPMA double bond. The NP forming polymer chains are then constituted by a uniform poly(HPMA) backbone that is biocompatible and water soluble and hydrolysable PEG and PLA pendants assuring the complete degradability of the polymer. The stability provided to these NPs by the synthesized surfmers is studied in the cases of both emulsion free radical polymerization and solution free radical polymerization followed by the flash nanoprecipitation of the obtained amphiphilic copolymers.
Genomics of Maize Stover Yield and Saccharification Efficiency Using a Multi-Parent Advanced Generation Intercross (MAGIC) Population

Background: Cellulosic ethanol derived from fast growing C4 grasses could become an alternative to finite fossil fuels. With the potential to generate a major source of lignocellulosic biomass, maize has gained importance as an outstanding model plant for studying the complex cell wall network, and as a model to optimize crop breeding strategies in bioenergy grasses. A genome-wide association study was conducted using a subset of 408 Recombinant Inbred Lines (RILs) from a Multiparent-Advanced Intercross (MAGIC) Population in order to identify single nucleotide polymorphisms (SNPs) associated with yield and saccharification efficiency of maize stover.Results: We identified 4 SNPs significantly associated with stover yield that corresponded to 4 QTL, and 16 SNPs significantly associated with saccharification efficiency, that could be clustered into 5 QTL. Markers linked to these QTL could be used in marker-assisted selection programs to improve ethanol production. In addition, we have pointed out genes that contain the significant SNPs or are physically close to them. Conclusions: Genes involved in nitrogen assimilation, organ growth, and stress tolerance could be good candidates attending to QTLs for stover yield. On the other hand, for saccharification efficiency we highlight genes implicated in biomass degradation, transcriptional control of monolignol biosynthesis, and lignin polymerization as probable candidate genes in the QTLs involved.
Determinan Tingkat Literasi Keuangan Siswa Sekolah Menengah (Studi Komparatif Indonesia dan Vietnam)

Financial literacy is an individual ability to make decision on it’s financial regulation. An individu has to have knowledge and skill to set his financial resources effectively to gain his prosperity. Financial literacy is influenced by many factors, such as gender, education and income of parent those become the purpose of this research. The population of this study was students of SMA Hidayatullah and THPT Tran Nhan Tong. Saturated sampling was used as the method of sampling from 246 respondents. In analyzing the data, the writer used Mann Whitney method.The result showed that there was difference between gender and education of parent on influencing financial literacy under 0.05 asymptomatic significance, there was no difference income of parent on influencing towards financial literacy. Meanwhile there was difference of both countries’ financial literacy. For the suggestion, the students are expected to be more diligent to learn and apply their finanncial knowledge, meanwhile for the future researcher, is expected to find other variables those have big impact toward an individual’s financial literacy to get many more varied researches.
Reading to bilingual preschoolers: An experimental study of two book formats

Reading stories to children provides opportunities for word learning. Bilingual children encounter new words in each of their languages during shared storybook reading, but the way in which they encounter them can vary. We compared learning from two types of bilingual book materials: typical single-language books (i.e., two copies of the same book, each in a different language), and bilingual books (i.e., one copy of the book, with text in both languages on each page). Five-year-old French-English bilinguals (n = 67) who were either proficient or second-language learners were randomly assigned to hear an original story from a balanced bilingual experimenter in one of the two book formats. Children’s learning of French and English labels for five novel objects embedded in the story was assessed via a pointing task. Children were successful at learning words in both languages, and performance was not affected by either book format nor by children's language proficiency. Children neither favoured nor avoided learning translation equivalents (i.e., cross-language synonyms) in either format. These results suggest that children are flexible word learners and that shared bilingual book reading — regardless of book format — is an effective way to teach bilingual children new words in two languages.
Charakterisierung nichtkovalenter Protein- und Peptid-Komplexe in der Gas-Phase

Die vorliegende Arbeit befasst sich mit der massenspektrometrischen Charakterisierung unterschiedlicher hoch- und niedermolekularer Protein- und Peptid-Komplexe. Zentraler Bestandteil waren Studien, welche die Einflusse der Aminosauresequenz und der Sekundarstruktur auf die Komplexbildung der Peptide aufzeigten. Die Charakterisierung hoherer Protein-Ligand-Komplexe erfolgte uber Gradientenmessungen mittels eines neuartigen, kontinuierlichen Flusssystems. Anderungen von Flussig- und Gas-Phasen-Bedingungen ermoglichten die massenspektrometrische Untersuchung teilentfalteter Komplexe. Die Technik der kollisions-induzierten Dissoziation trug zur Bestimmung von Gas-Phasen-Stabilitaten solcher teilentfalteter sowie intakter Protein-Komplexe bei. Schlieslich wurden CID-Messungen eingesetzt, um Dissoziationsenergien zu berechnen und um Bindungsbruche, Oxidationszustande und Gas-Phasen-Basizitaten naher zu analysieren.
Understanding the intent behind sharing misinformation on social media

ABSTRACT Several studies have been conducted in annotating and collecting the misinformation spread on various social media sites. The misinformation spread during COVID-19 pandemic increased many folds. Understanding the reasons and intent of the misinformation during COVID-19 is a crucial task. Existing approaches have not focused on understanding the intent behind sharing misinformation in the first place. To understand the intent, we introduce a new dataset MisMemoir that apart from annotating misinformation, also collects the social context and site history of the user sharing misinformation. Utilising the established benefits of game theory in social media behaviour analysis, we deploy two-person cooperative games to understand how prominent positive feedback cues like likes and retweets are in motivating an individual to share misinformation on the platform Twitter. Experimental results demonstrate that the spread of misinformation’s primary intent is the intentional/unintentional manoeuvre to increased reach and possibly a false sense of accomplishment. Empirically, we show that in a competitive environment like social media, feedback cues like retweets and comments assume the role of ‘attention’ payoff that significantly affects the strategy of a user on Twitter to share misinformation intentionally.
The Impact of the Different Voltages and Frequencies on Resistivity of the TiO2-based Memristors with 3D Observation in MATLAB

The impact of the different voltages and frequencies on resistance of the TiO 2 -based memristors with 3D observation in MATLAB. European Science 260-264. Abstract Memristor is the fourth fundamental element that was theoretically discovered about 40 years ago by Professor Leon Chua and was introduced alongside three other existing elements (resistor, capacitor and inductor) in the electronic world. Until recently, however, the construction of a physical example of this had not yet taken place. Finally, in 2008, HP introduced a nanometer-sized TiO 2 structure with predictable memory behavior and hysteresis. In this paper, after introducing the general characteristics and structure of the memristor, a 3D MATLAB model with nonlinear ion deflection for the titanium dioxide memristor made by HP with current or voltage control capability is presented. By setting the model parameters for the specifications of this memory, some simulations are performed and the results are displayed.
Wireless Electroluminescence: Polymer Light-Emitting Electrochemical Cells with Inkjet-Printed 1D and 2D Bipolar Electrode Arrays

One-dimensional (1D) and two-dimensional (2D) arrays of conductive microdisks are printed on glass substrates using a silver nanoparticle (Ag-NP)-based ink. Polymer light-emitting electrochemical cells (PLECs) are then fabricated on top via spin-coating and the thermal deposition of aluminum driving electrodes (DEs). The extremely large planar PLECs, with an interelectrode separation of 11 mm, are driven with a bias voltage of 400 V. This causes in situ electrochemical doping in the polymer from both DEs and the Ag-NP disks. The latter functions as bipolar electrodes (BPEs) to induce and sustain doping reactions at their extremities. Time-lapse photoluminescence and electroluminescence (EL) imaging reveals that p- and n-doping originating from neighboring BPEs can interact to form multiple light-emitting p–n junctions, connected in series by the BPEs. Unexpectedly, the multiple p–n junctions begin to emit well before a continuous pathway of doped polymers is established between the DEs. This observation b.
Assessment of the change in accuracy of an artificial intelligence algorithm for the detection of skin cancer in camera images following diversification and training

Background The US FDA recently stated in its Proposed Regulatory Framework for software as a medical device (SaMD) that “One of the greatest benefits of AI/ML in software resides in its ability to learn from real-world use and experience, and its capability to improve its performance. ” This study follows two previous publications which addressed the accuracy of a machine learning algorithm for the detection of malignant melanoma. The aim of this study was to quantify the change in the accuracy following modifications to the algorithm (DERM) for the detection of non-melanoma skin cancers and potential precursors of skin cancer. A secondary aim was to assess any improvement in accuracy associated with continued training of the algorithm.Methods A total of 16,550 images of skin lesions with histopathology based assessment were available for assessment. The primary indicator of diagnostic accuracy was the area under the ROC curve with 95% confidence intervals. Sensitivity and specificity at the most efficient cut-point was also estimated together with the numbers of false negative and false positive results.Results The inclusion of squamous cell cancer, basal cell cancer and intra-epidermal carcinoma in addition to melanoma results in an improvement in the scope of the algorithm. For the most recent version of the algorithm all skin cancers show an area under the ROC curve greater than 95%. For melanoma sensitivity=91% and specificity = 89%; for all non-melanoma skin cancers sensitivity=97% and specificity=94%. Continued training of the algorithm results in a statistically significant (p<0.01) improvement in accuracy which diminishes as the ROC area approaches 100%. Conclusions The results indicate that as the algorithm is used in clinical practice it will become more accurate with continued training but the rate of improvement will diminish as the ROC area approaches 100%. A smartphone or other camera fitted with a dermoscopic lens and with internet access to the algorithm can provide an accurate additional assessment of a suspected skin cancer lesion or precursor for primary care physicians and dermatologists.
Current-driven phase-change optical gate switch using indium–tin-oxide heater

We proposed and fabricated a current-driven phase-change optical gate switch using a Ge2Sb2Te5 (GST225) thin film, an indium–tin-oxide (ITO) heater, and a Si waveguide. Microfabrication technology compatible with CMOS fabrication was used for the fabrication of the Si waveguide. The repetitive phase changing of GST225 was obtained by injecting a current pulse into the ITO heater beneath the GST225 thin film. The switching operation was observed by injecting a 100-ns current pulse of 20 mA into the ITO heater. The average extinction ratio over the wavelength range of 1,525 to 1,625 nm was 1.2 dB.
Zero Ramachandran outliers does not guarantee a 'good' model

O Sobolev, P Afonine, N Moriarty, M Hekkelman , R Joosten, , A Perrakis , P Adams 4 Molecular Biosciences and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA, USA, Division of Biochemistry, The Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam 1066CX, The Netherlands, Oncode Institute, The Netherlands Department of Bioengineering, University of California, Berkeley, CA 94720, USA osobolev@lbl.gov
Personality evaluated: What do people most like and dislike about themselves and their friends?

What do people think their best and worst personality traits are? Do their friends agree? Across three samples, 463 college students ("targets") and their friends freely described two traits they most liked and two traits they most disliked about the target. Coders categorized these open-ended trait descriptors into high or low poles of six trait domains (extraversion, agreeableness, conscientiousness, emotional stability, openness, and honesty-humility) and judged whether targets and friends reported the same specific best and worst traits. Best traits almost exclusively reflected high levels of the major trait domains (especially high agreeableness and extraversion). In contrast, although worst traits typically reflected low levels of these traits (especially low emotional stability), they sometimes also revealed the downsides of having high levels of these traits (e.g., high extraversion: "loud"; high agreeableness: "people-pleaser"). Overall, targets and friends mentioned similar kinds of best traits; however, targets emphasized low emotional stability worst traits more than friends did, whereas friends emphasized low prosociality worst traits more than targets did. Targets and friends also showed a moderate amount of self-other agreement on what the targets' best and worst traits were. These results (a) shed light on the traits that people consider to be most important in themselves and their friends, (b) suggest that the desirability of some traits may be in the eye of the beholder, (c) reveal the mixed blessings of different traits, and, ultimately, (d) provide a nuanced perspective on what it means for a trait to be "good" or "bad. " (PsycInfo Database Record (c) 2022 APA, all rights reserved).
The Status of AMoRE Double Beta Decay experiment

AMoRE (Advanced Mo-based Rare process Experiment) is searching for neutrinoless double beta decay of 100Mo. A pilot experiment, AMoRE-Pilot, was operated with six 48dep1Ca100MoO4 crystals of total mass ~1.9 kg in a cryostat at the Yangyang underground laboratory (Y2L) with the minimum overburden of 700 m. Since AMoRE-Pilot started in August 2015, two major improvements in its configuration took place to reduce its background level. The first one was replacement of detector components by materials with lower radioactivity level. The second one was the installation polyethylene blocks together with borated rubber sheets to reduce external neutron backgrounds. Using the AMoRE-Pilot data in different configurations, background modelling of the AMoRE-Pilot was performed.
Le son d’une ligne de balayage

El sonido de una linea de exploracion electronica. Si existe un espacio del pensamiento, ya sea real o virtual, el sonido debe existir en el, dado que es una pura vibracion del espacio. De las epopeyas de Homero a las leyendas de los Aborigenes, de la catedral de Chartres a las instalaciones de video, Bill Viola narra, a traves de la Historia, las aventuras de la acustica, sus magias y sus mitos.
Global stability analysis of a delay cell-population model of hepatitis B infection with humoral immune response

In this work, we propose and investigate a delay cell population model of hepatitis B virus (HBV) infection. We suppose spatial diffusion of free HBV particles, and use a Beddington-DeAngelis incidence function to describe viral infection. The model takes into account the exposed hepatocytes and the usually neglected humoral immune response. Moreover, a time delay is introduced to account for the transformation processes necessary for actual HBV production. We naturally find two threshold parameters, namely the basic reproduction number and the humoral immune response reproduction number which completely determine the global stability of the spatially homogeneous equilibria of the model obtained. By constructing appropriate Lyapunov functionals and using LaSalle's invariance principle we show that, if the disease-free equilibrium is globally asymptotically stable. Furthermore, we prove that the endemic equilibrium without humoral immune response and the endemic equilibrium with humoral immune response are globally asymptotically stable if and respectively. Finally, in one dimensional space, we perform some numerical simulations to illustrate the theoretical results obtained.
Programa de Pós-Graduação Stricto Sensu em Ciências da Saúde GIOVANA COLOZZA MECATTI

Sepsis is a severe disease with a high mortality rate. Identification and treatment in the initial hours of the disease improve outcomes. Some biomarkers like procalcitonin and C-reactive protein are used for diagnosis and to access sepsis prognosis and they can help in clinical decision-making, but none has sufficient specificity or sensitivity to be routinely employed in clinical practice. This review seeks to evaluate lipid metabolism alterations in patients with sepsis and the possibility of using the respective metabolites as biomarkers of the disease. A search of the main electronic biomedical databases was conducted for the 20-year period ending in February 2020, focused on primary research articles on biomarkers in sepsis. The keywords included sepsis, septic shock, biomarker, metabolomic, lipidomic and lysophosphatidylcoline. It concludes that altered lipid profiles, along with the progress of the disease should provide new insights, enabling a better understanding of the pathogenic mechanisms and making it possible to design new early diagnosis and therapeutic procedures for sepsis.
Ice particle growth in the presence of nitric oxide: ICE PARTICLE GROWTH FROM NITRIC OXIDE

[1] An experimental study was undertaken to examine the effects of nitric oxide (NO) on ice crystal growth. This study focused on growth rates and ice crystal habit. A chamber was used to grow ice at controlled temperature and supersaturation, and images of ice crystals were obtained using a video camera. Ice crystals grow more quickly when NO concentrations are elevated above background to 370 and 710 ppb and lengthen (c-axis growth) more quickly than they thicken (a-axis growth). The results have implications for ice crystal growth in thunderstorms and may aid in determining whether an air parcel in a thunderstorm originated from an electrically active region.
Male partners' participation in birth preparedness and complication readiness in global south: systematic review and meta-analysis

Background: The lower priority given for involving male partners in birth preparedness and complication readiness contributes to the poor maternal and neonatal health outcomes. Male partners in low- and middle-income countries determine women’s access to and affordability of health services and directly influence their health outcomes. This systematic review and meta-analysis determine the pooled magnitude of the male partner’s participation in birth preparedness and complication readiness in the global south.Methods: Literature published in the English language from 2004 to 2019 was retrieved using appropriate search terms on Google Scholar, PubMed/MEDLINE, CINHAL, Scopus, and Embase. The Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI) was used for critical appraisal of studies. A pooled statistical meta-analysis was conducted using STATA Version 14.0 software. The heterogeneity and publication bias were assessed using the I2 statistics and Egger’s test, respectively. Duval and Tweedie's nonparametric trim and fill analysis using the random-effect analysis. The Random effects model was used to estimate the summary prevalence of BPCR and the corresponding 95% confidence intervals (CI). Results: 12 studies and 4210 participants were included. The overall pooled result showed 52.3% of male partners of pregnant women and nursing mothers were prepared for birth and its complications. Forty-nine percent of male partners saved money for delivery and 40.5% of them identified skilled birth attendants, and 55% of male partners saved money for birth or its complication. Only 42.1% of male partners arranged transportation and 59.8% of them identified the place of birth. Only 18.9% of male partners identified a potential blood donor for emergency cases of childbirth and postpartum complication.Conclusions: A low proportion of male partners of pregnant women and nursing mothers were prepared for childbirth and its complications. Countries in the global south region should review their health care policies and design strategies to improve the birth preparedness and complication readiness practice among male partners of pregnant women and nursing mothers.