Miracle-dz/UniFAR-FTUs huggingface dataset:
Mapping models in novel metaphors and their effect on gaze behavior and default interpretations in native and target languages

In the study, we address the problem of existing differences in reading and understanding novel metaphors in the text fragments in native and target languages (L1 and L2), with these differences potentially attributed to both the specifics of forming analogies in native and target languages, and the mapping characteristics of metaphors. The study identifies the contingency effects of several primary metaphors onto the gaze behavior and default interpretation of textual novel metaphors in L1 (Russian) and L2 (English). To proceed, we use the text fragments in L1 and L2 containing novel metaphors appearing in more and less focal syntactic positions in a two-stage oculographic experiment. We obtain the participants’ gaze metrics values and the participants’ responses specifying the target domains of the novel metaphors, which further allows us to disclose the contingencies. Methodologically, the study is grounded in the metaphor processing theories developed in cognitive psychology, which explore the structure of analogical reasoning and associative fluency as manifesting potentially different effects in L1 and L2. To validate it, we also address the cognitive linguistic theories which provide the framework for identifying the primary metaphor models (here the models PATIENT (OBJECT) IS AGENT, PARTS ARE WHOLE, CONCRETE IS ABSTRACT) and for testing their effect onto information construal. We hypothesize that reading and understanding metaphors will proceed differently in L1 and L2, which is attributed to associative fluency in metaphor mapping in native and target languages. The experiment results do not show the differences in understanding the mapping model PATIENT (OBJECT) IS AGENT in L1 and L2, whereas these differences appear in understanding the models PARTS ARE WHOLE and CONCRETE IS ABSTRACT with higher default interpretation index in L1. The model PATIENT (OBJECT) IS AGENT is also found to stimulate higher gaze costs. The results suffice to claim that there are differences in the cognitive costs produced by primary metaphor models, which allows us to range and specify their role in information construal in L1 and L2.
Defining Physician–Nurse Efforts toward Collaboration as Perceived by Medical Students

Collaboration between physicians and nurses is essential to healthcare delivery and is associated with high-quality patient care, greater patient satisfaction, and better health outcomes. Hence, it is imperative that doctors and nurses have a particular set of interprofessional collaboration skills. This descriptive cross-sectional study assessed how medical students in the pre-clinical and clinical years perceived attitudes toward collaboration between physicians and nurses in a hospital setting. The Jefferson Scale of Attitude toward Physician–nurse Collaboration (JSAPNC) was reverse-translated into Arabic for the current study. The results showed a total JSAPNC mean score of 46.55, lower than other medical students in other universities. In general, the results of the study showed no significant difference in the total JSAPNC score among medical students when analyzed according to age, clinical exposure, and year level, except in the two factors of JSAPNC: shared education and teamwork (p = 0.038) and caring as opposed to curing (p = 0.043). The findings of this study suggest the necessity of integrating interprofessional education (IPE) across the medical school curriculum because, as future physicians, medical students would be well equipped to treat their patients in partnership with their nursing colleagues.
Shack-Hartmann measurements of the transverse linear and orbital angular momenta after propagation through turbulence

Theory presented in the companion paper [1] reveals that for paraxial propagation of scalar waves transverse linear momentum (TLM) and orbital angular momentum (OAM) of beam waves are simply related to the wave coherence function, and that the TLM and OAM densities can be measured by a conventional Shack-Hartman sensor, which is typically used for the phase measurements. Here we present the extension of this theory to the case of the OAM fluctuations of a spherical wave intercepted by a finite aperture. We report the OAM measurements derived from the data obtained by the Hartman Turbulence Sensor (HTS) during the field measurement campaign in 2009-10 and data produced by wave optics simulation of the HTS. We examine the statistics of the total OAM intercepted by the wave front sensor aperture and compare it to theoretical results. Modeling data supports the conservation of the mean OAM and relatively slow development of the OAM fluctuations predicted by the theory.
Lightweight Privacy-Preserving Feature Extraction for EEG Signals Under Edge Computing

The health-related Internet of Things (IoT) plays an irreplaceable role in the collection, analysis, and transmission of medical data. As a device of the health-related IoT, the electroencephalogram (EEG) has long been a powerful tool for physiological and clinical brain research, which contains a wealth of personal information. Due to its rich computational/storage resources, cloud computing is a promising solution to extract the sophisticated feature of massive EEG signals in the age of big data. However, it needs to solve both response latency and privacy leakage. To reduce latency between users and servers while ensuring data privacy, we propose a privacy-preserving feature extraction scheme, called LightPyFE, for EEG signals in the edge computing environment. In this scheme, we design an outsourced computing toolkit, which allows the users to achieve a series of secure integer and floating-point computing operations. During the implementation, LightPyFE can ensure that the users just perform the encryption and decryption operations, where all computing tasks are outsourced to edge servers for specific processing. Theoretical analysis and experimental results have demonstrated that our scheme can successfully achieve privacy-preserving feature extraction for EEG signals, and is practical yet effective.
Large Mixed-Frequency Vars with a Parsimonious Time-Varying Parameter Structure

In order to simultaneously consider mixed-frequency time series, their joint dynamics, and possible structural change, we introduce a time-varying parameter mixed-frequency vector autoregression (VAR). Time variation enters in a parsimonious way: only the intercepts and a common factor in the error variances can vary. Computational complexity therefore remains in a range that still allows us to estimate moderately large VARs in a reasonable amount of time. This makes our model an appealing addition to any suite of forecasting models. For eleven U.S. variables, we show the competitiveness compared to a commonly used constant-coefficient mixed-frequency VAR and other related model classes. Our model also accurately captures the drop in the gross domestic product during the COVID-19 pandemic.
Unbiasing Retrosynthesis Language Models with Disconnection Prompts

Data-driven approaches to retrosynthesis are limited in user interaction, diversity of their predictions, and recommendation of unintuitive disconnection strategies. Herein, we extend the notions of prompt-based inference in natural language processing to the task of chemical language modeling. We show that by using a prompt describing the disconnection site in a molecule we can steer the model to propose a broader set of precursors, thereby overcoming training data biases in retrosynthetic recommendations and achieving a 39% performance improvement over the baseline. For the first time, the use of a disconnection prompt empowers chemists by giving them greater control over the disconnection predictions, which results in more diverse and creative recommendations. In addition, in place of a human-in-the-loop strategy, we propose a two-stage schema consisting of automatic identification of disconnection sites, followed by prediction of reactant sets, thereby achieving a considerable improvement in class diversity compared with the baseline. The approach is effective in mitigating prediction biases derived from training data. This provides a wider variety of usable building blocks and improves the end user’s digital experience. We demonstrate its application to different chemistry domains, from traditional to enzymatic reactions, in which substrate specificity is critical.
Is Modular Dual Mobility Superior to Standard Bearings for Reducing Dislocation Risk after Primary Total Hip Arthroplasty? A Retrospective Comparative Multicenter Study

Background: Dual mobility (DM) has been proven to reduce dislocation risk after total hip arthroplasty (THA). In the last decade modular DM (modDM) constructs have been introduced to allow the use of DM articulation with standard cementless acetabular shells. However, clinical evidence of modDM effectiveness is still low in primary THA and concerns about implant-related complications are increasing. This retrospective comparative multicenter study is aimed to investigate if the dislocation rate after primary THA could be reduced with modDM in comparison to standard bearing (SB). Methods: 262 THAs were performed between 2017 and 2019, using SB (129 hips) or modDM (133) with the same cementless highly porous modular acetabular cup. Dislocations, complications and revisions were recorded and implant survival was analyzed. Results: At 2.5-year mean follow-up, dislocation occurred in 4 hips (3.1%) within the SB group while intraprosthetic dislocation in 2 hips (1.5%) within the modDM group (p = 0.44). Implant survivals with revision due to dislocation were 95.2% and 95.9% at 4-year follow-up for SB and modDM, respectively (p = 0.50). Conclusions: modDM used in primary THA might reduce dislocation rate in comparison to SB, even in high-risk patients, however, caution is advocated due to specific intraprosthetic dislocation.
Enhancement of flexoelectric ratio of nematic liquid crystal by doping calamitic ferroelectric liquid crystal

ABSTRACT We measured the flexoelectric ratio e* of a nematic liquid crystal (NLC) doped with a calamitic ferroelectric liquid crystal (FLC). We doped two kinds of commercial FLC into the pure NLC at a weight concentration of 5 wt%. The absolute value of the flexoelectric ratio was increased up to 49% compared to the pure NLC. The greater transverse dipole moment and the elastic constant of FLC are thought to be related to the increase of the flexoelectric ratio. Graphical Abstract
Thermally radiative slip flow of viscous fluid through a microfluidic vessel having sinusoidal walls with variable viscosity

This article explores the influence of variable viscosity on the peristaltic movement of viscous fluid through a tapered microfluidic vessel having sinusoidal walls. The aspect of slip velocity has been considered on the channel walls. Furthermore, the heat transfer phenomenon is explored under the effectiveness of thermal radiation and viscous dissipation. The nonlinearity of the problem is scrutinized by the lubrication approximation hypothesis. Analytic outcomes have been acquired for liquid velocity, temperature, pressure rise, and streamlines. The impact of dissimilar physical parameters influencing the liquid flow features is revealed and deliberated through graphs. The study revealed that the velocity at the central region diminishes with increasing values of the velocity slip parameter. The number of boluses in the streamlines pattern is enhanced by enhancing the viscosity parameter. The current model has been used in bio‐engineering processes, industrial fluid mechanics, thermal processing, and cooling systems.
Impact of National Election-2017/18 on Corporate Performance: An Analysis of Insurance Companies in Nepal

This paper analyzes the impact of the national election on corporate performance by using panel data from listed insurance companies over the period 2015 to 2021 with 126 observations. The proxy variables of corporate performance have used market price per share (MPS), dividend payout ratio (DPS), and return on assets (ROA) for market performance, investor’s performance, and firm’s performance respectively. This study uses the generalized least squared (GLS) method for the final impact assessment. Empirical analysis shows that the beta coefficient of D-election is significantly negative with all performance proxy variables in random effect estimates. This indicates that there is a random effect of the national election on corporate performance and provides a negative impact on corporate performance after the national election-2017-18. Similarly, analysis of fixed effects also support a similar impact except for the DPS because DPS is not significant. For the robust test, this paper has performed the Breusch-Pagan test and Hausman test which supports consistency of the analysis. Overall analysis suggests that the four levels of elections: local level, provincial level, federal level, and national assembly election do affect adversely the corporate performance of insurance industries in Nepal.
Early-Life Nutrition in Preterm Infants and Risk of Respiratory Infections and Wheezing: A Scoping Review

Introduction: Preterm birth is a common early-life event that can lead to long-term consequences. The incidence of wheezing, asthma, and respiratory tract infections is higher in children born prematurely than in the general population. The purpose of this review was to synthesize the existing literature on the role of early-life nutrition in the later risk of respiratory morbidities. Methods: A scoping review of the literature was performed by searching three online databases. Inclusion criteria were: infants born <37 GWk, comparing human milk versus any other type of milk feeding formulation. Our primary outcomes were wheezing or asthma or respiratory tract infections after discharge. Two authors independently screened the results and extracted study characteristics using a predefined charting form. Results: Nine articles were included (eight cohort studies and one randomized trial). Four studies supported the protective effect of breastfeeding on wheezing or respiratory infections or both. Four studies did not confirm this association. One study confirmed the protective role of breastfeeding only on the subgroup of girls. There was a high heterogeneity among the included studies, in the type of milk feeding, outcomes, and age at follow-up. Conclusions: The current evidence is conflicting. The high heterogeneity and methodological flaws could have influenced the results of the studies. Carefully designed studies are required to define the role of early-life nutrition among preterm infants on their long-term respiratory outcomes.
Some thoughts on polyomino tiles

Suppose you are trying to tile an infinite grid of unit squares with 2 x 1 rectangles so that each rectangle covers two squares. You place two of the rectangles without thinking. Can the tiling now be accomplished? As the answer is “yes” I call the rectangle an “idiot-proof tile”. In general a polyomino will be called idiot proof if the infinite grid can be tiled irrespective of the positions of two of the tiles (the idiotic tiles), except that the idiotic tiles shall not be overlapping and shall not completely surround an area that is less than that of the tile (not even an idiot would do that! ). The first interesting idiot-proof tile (IPT) is the L-tromino.
Structure of the monoclinic A l 13 F e 4 ( 010 ) complex metallic alloy surface determined by low-energy electron diffraction

Complex metallic alloys having isolated transition-metal elements in the surface layer have been reported to work well as selective hydrogenation catalysts. We report an experimental determination of the surface structure of one such compound Al13Fe4(010). The structure was determined using low-energy electron diffraction. The best-fit structure terminates in a layer similar to the puckered bulk layer but lacking some of the Al and Fe atoms. Protruding Fe atoms are located in the middle of adjacent pentagonal Al formations, connected to each other by Al " glue " atoms. The top interlayer spacing is compressed relative to the bulk with oscillating relaxations observed for subsequent layers at the surface.
Finding Flow

IMAGINE THAT YOU ARE SKIING DOWN A SLOPE and your full attention is focused on the movements of your body and your full attention is focused on the movements of your body, the position of the skis, the air whistling past your face, and the snow-shrouded trees running by. There is no room in your awareness for conflicts or contradictions; you know that a distracting thought or emotion might get you buried face down in the snow. The run is so perfect that you want it to last forever.
Financial and economic security of agricultural business: specifics, analysis methodology, and measures of stabilization

Purpose. The article aims to improve the methodology and analysis of the financial and economic security of agricultural business in Ukraine for the identification of problematic aspects and the substantiation of policy measures needed to strengthen it. Methodology / approach. The article offers the methodological approach for the comprehensive analysis of the financial and economic security of agricultural business in a region. The conceptual task of the approach is to calculate the empirical indicator of security (composite method) and its structural components (resources, investment, money and credit, debt, finance-economy, and insurance components) based on the identification of the weight of indicators (Principal Components Analysis). Results. The article reveals that the appropriate level of all components of financial and economic security correlates with the financial independence of agricultural entities. In 2018, the index of insurance security (0.798) and money and credit (0.737), debt (0.724), and resources (0.720) components of agricultural business security in Lvivska oblast were above the moderate level. The period of 2018–2022 faced a significant weakening in the resources (by 16.2 p.p.), investment (16.9 p.p.), money and credit (20.6 p.p.), debt (19.0 p.p.), finance-economy (18.0 p.p.), and insurance (5.3 p.p.) components of the sector’s financial and economic security. The average level of financial and economic security in the period under review was 65.0 %, and the average annual rate of decrease was 4.1 p.p. Originality / scientific novelty. The article improves the methodological approach to the complementary assessment of financial and economic security of agricultural business in a region, contributing to the identification of the degree of financial resilience of business entities in the agricultural sector of the regional economy in conditions of war and instability, in order to develop the mechanism for increasing the investment and economic capacity of business. Practical value / implications. The article offers and substantiates an applied approach to assessing the degree of regional financial resilience of agricultural business. Its implementation will allow carrying out a sectoral cut of the state of financial and economic security of the region’s industry and build architectonics of determinants of financial and economic security of business entities.
The Effects of “Transition to Professional Life’’ Course on Career Decision-Making Self-Efficacy

This study aims to reveal the effectiveness of the ESTU401 Transition to Professional Life (1+1; 2 ECTS) course, designed to help university senior students gain the competencies needed for career development and to develop their existing competencies, on the students’ career decision-making self-efficacy (CDMSE) levels. An experimental model with pretest-posttest control group was used, with an effort to evaluate the effect of the students taking the 8th semester ESTU401 course on their career decision-making self-efficacy and the differentiation status based on the factors affecting these levels. All the analyses were done by using R. The results show that the career decision-making self-efficacy of the students who took the ESTU401 course increased in all of the factors. In addition, the CDMSE levels of the students were found to differ in the Level of Satisfaction with the Department. These results make an important contribution to the literature by revealing the effects of a career course given online during the Covid-19 pandemic on students’ CDMSE.
Siglec-15 Promotes Evasion of Adaptive Immunity in B-cell Acute Lymphoblastic Leukemia

Siglec-15 (Sig15) has been implicated as an immune checkpoint expressed in solid tumor-infiltrating macrophages and is being targeted in clinical trials with mAbs to normalize the tumor immune microenvironment and stimulate antitumor immunity. However, the role of Sig15 in hematologic malignancies remains undefined. Sig15 mRNA and protein expression levels in hematologic malignancies were determined from publicly available databases, cell lines, and primary patient samples. Human B-cell acute lymphoblastic leukemia (B-ALL) cell lines were used to identify signaling pathways involved in the regulation of Sig15 expression. Secreted/soluble Sig15 and cytokine levels were measured from the plasma of children with leukemia and healthy controls. Knockdown and knockout of Siglec15 in a murine model of B-ALL was used to evaluate the effect of leukemia-derived Sig15 on the immune response to leukemia. We observed pathologic overexpression of Sig15 in a variety of hematologic malignancies, including primary B-ALL samples. This overexpression was driven by NFκB activation, which also increased the surface localization of Sig15. Secreted/soluble Sig15 was found to circulate at elevated levels in the plasma of children with B-ALL and correlated with an immune-suppressive cytokine milieu. Genetic inhibition of Sig15 in murine B-ALL promoted clearance of the leukemia by the immune system and a marked reversal of the immune-privileged leukemia bone marrow niche, including expanded early effector CD8+ T cells and reduction of immunosuppressive cytokines. Thus, Sig15 is a novel, potent immunosuppressive molecule active in leukemia that may be targeted therapeutically to activate T lymphocytes against leukemia cells. Significance: We demonstrate that Sig15 is overexpressed in hematologic malignancies driven by NFκB, is required for immune evasion in a mouse model of leukemia, and, for the first time, that it circulates at high levels in the plasma of children with leukemia.