Miracle-dz/UniFAR-FTUs huggingface dataset:
Vaccination with Deglycosylated Modified Hemagglutinin Broadly Protects against Influenza Virus Infection in Mice and Ferrets

Recent efforts have been directed toward the development of universal influenza vaccines inducing broadly neutralizing antibodies to conserved antigenic supersites of Hemagglutinin (HA). Although several studies raise the importance of glycosylation in HA antigen design, whether this theory can be widely confirmed remains unclear; which influenza HA with an altered glycosylation profile could impact the amplitude and focus of the host immune response. Here, we evaluated the characteristics and efficacy of deglycosylated modified HA proteins, including monoglycosylated HA (HAmg), unglycosylated HA (HAug), and fully glycosylated HA (HAfg), without treatment with H3N2 Wisconsin/67/2005. Our results showed that HAug could induce a cross-strain protective immune response in mice against both H3N2 and H7N9 subtypes with better antibody-dependent cellular cytotoxicity (ADCC) than the HAmg- and HAfg-immunized groups, which suggested that highly conserved epitopes that were masked by surface glycosylation may be exposed and thus promote the induction of broad antibodies that recognize the hidden epitopes. This strategy may also supplement the direction of deglycosylated modified HA for universal influenza vaccines.
Simple reconstruction of non-simple curves and approximating the median in streams with constant storage (Einfache Rekonstruktion nicht-einfacher Kurven und Approximation des Medians in Datenströmen mit konstantem Speicher)

The presented algorithm reconstructs collections of arbitrary curves (open, closed, smooth, with corners, with or without intersections). The algorithm is very simple and short and has a novel and very simple sampling condition which guarantees correct results and does not need special adaption for regions close to corners, endpoints or intersections. The corner and intersection points are not required to but allowed to be in the sample. The described method works for curves in any dimension d asymptotically in O(n2−1/d) time with involved data structures. Experiments show already a good performance with a very simple kd-tree structure.
Deprivation trends in potentially avoidable medical hospitalisations of under-25-year-old Māori and non-Māori non-Pacific in Aotearoa New Zealand: a 20-year perspective

ABSTRACT Unnecessary hospitalisations for preventable or treatable conditions provides an indication of the health of a country and its systems. We present data on potentially avoidable hospitalisations of Māori and non-Māori non-Pacific (NMNP) under-25-year-olds for medical conditions during the period 2000–2019, with particular focus on the magnitude of inequity by area deprivation. Potentially avoidable hospitalisation rates of under-25 years for medical conditions were consistently higher for Māori than for NMNP over the 20-year study period. The absolute difference in potentially avoidable hospitalisation rates between the most and least deprived areas were greater for Māori than for NMNP in all years of the study. Respiratory conditions and skin infections accounted for more than 60% of potentially avoidable hospitalisations of Māori under-25-year-olds. The persistent trends in deprivation-based inequities in health outcomes for Māori, on both absolute and relative scales, suggest greater attention needs to be paid to implementing effective policy focussed on reducing these deprivation-based inequities and on improving access to and quality of care.
Bridging the Gap: A Systematic Benchmarking of Uplift Modeling and Heterogeneous Treatment Effects Methods

Choosing the correct method to predict the incremental effect of a treatment on customer response is critical to optimize targeting policies in many important applications such as churn management and patient care. Two research streams, uplift modeling and heterogeneous treatment effects (HTE), have emerged that scrutinize the incremental effect of a treatment on customer response. So far, these research streams mostly remain independent, with few studies comparing methods across these communities. However, if the goal is to estimate the incremental effect in the best possible way or to make a new contribution in the context of targeting policies, ignoring either uplift modeling or HTE methods is a serious omission. To fill this research gap, the authors benchmark 15 methods from both literatures on synthetic and real-world data sets. They perform benchmarking to contrast the performance of different methods from both research streams and to highlight the importance of evaluating methods from uplift modeling and HTE. The results show that although most methods suffer from volatility, some methods perform better and are more robust than others. In addition, the authors demonstrate that using the incremental effect can substantially improve a targeting policy, but only if academics and practitioners evaluate various methods from both uplift modeling and HTE.
Diagnostic efficacy of two-dimensional echocardiography combined with coronary angiogram in patients with acute myocardial infarction, and the effectiveness of atorvastatin

Purpose: To investigate the diagnostic significance of two-dimensional echocardiography (2DE) combined with coronary angiogram in patients with acute myocardial infarction, and to determine the effectiveness of atorvastatin.Methods: Patients (n = 100) with acute myocardial infarction admitted in Affiliated Hospital of Jinggangshan University, Ji’an, China, were divided into control group (CG) treated with conventional therapy, and study group (EG) treated with atorvastatin, in addition to conventional therapy. The diseased vessels examined by echocardiography and coronary angiogramv were recorded and compared. The effectiveness of atorvastatin treatment was assessed by evaluating myocardial injury, oxidative stress, vascular injury and cardiac function indices, viz, left ventricular ejection fraction (LVEF), left ventricular end-diastolic internal diameter (LVEDD), left ventricular end-systolic internal diameter (LVESD), left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV). Results: The number of double and multiple lesions shown on coronary angiogram were significantly higher than those shown in echocardiography. Phosphocreatine kinase (CK), creatine kinase isoenzyme (CK-MB) and cardiac troponin T (cTnT) improved significantly in both groups after surgery, with CK-MB significantly lower in EG than those in CG at 1 and 3 days post-operation. Interleukin-6 (IL- 6) was significantly lower in EG than in CG at 1 and 7 days after the surgery (p < 0.05). N-terminal Btype natriuretic peptidogen (NT-proBNP) was lower in EG than in CG on the 3rd day after surgery (p < 0.05). Superoxide dismutase (SOD) was significantly higher in EG than in the CG at 1, 3 and 7 days after surgery. The QRS scores significantly improved in both groups after surgery (p < 0.05). Conclusion: Echocardiography, when used in combination with coronary angiogram, accurately assesses the coronary lesions in acute myocardial infarction, and atorvastatin treatment after PCI reduces myocardial injury, relieves inflammation, and promotes the recovery of cardiac function in patients.
Intimately interconnected nickel carbonate hydroxide nanosheet‐wire structure for high‐performance asymmetric supercapacitors

Low‐cost nickel‐based hydroxides with multiple valence states are excellent alternative supercapacitor (SC) electrode materials. However, their practical application is severely restricted by poor conductivity and unstable reaction kinetics. In this study, a highly interconnected nickel carbonate hydroxide nanosheet‐wire structure (Ni Ns‐w) was prepared by carefully controlling the urea content used during reflux synthesis. Compared to nickel hydroxide nanosheets, Ni Ns‐w has a high specific capacitance (1160.7 F g−1), high rate capability (611.9 F g−1 at 10 A g−1), and excellent cycling stability (80.43% capacitance retention after 5000 cycles) due to the intimate connection between the nanosheets and nanowires that provides an abundant carrier transport paths, high structural stability, and a large reaction area. At the same time, the carbonate ions further enhance the electrochemical properties by increasing the wettability of the electrode materials and reducing the polarization during charge‐discharge process. The corresponding asymmetric SC realized a high power density and a high energy density (9.0 kW kg−1 and 24.0 Wh kg−1, respectively). As a result, Ni Ns‐w is an excellent candidate material for use in energy storage cells.
Unravelling the Distinctive Virulence Traits and Clonal Relationship among the Pseudomonas aeruginosa Isolates from Diabetic Patients

Infections with P. aeruginosa are three times more common in people with diabetes than in non-diabetic individuals. Investigations disclosing the distinguishing traits of P. aeruginosa strains to cause respiratory and wound infection in diabetics is limited. Wound swab and sputum from infected diabetic patients were used for the isolation of P. aeruginosa. The confirmed isolates were evaluated for their virulence factor production, antibiotic susceptibility, and clonal relationship. The study confirmed the increased virulence of sputum isolates characterized by their multidrug resistant nature, strong biofilm formation at 72h [(p<0.05) =0.003)] and 96h [(p<0.05) =0.002)] and elaboration of proteolytic enzymes (40.0%). Albeit the fact that wound isolates were less virulent than the sputum isolates, there was an increased siderophore production (77.0%). Nearly 90.0% of the isolates including sputum and wound were resistant to colistin. Random Amplified Polymorphic DNA analysis showed no distinct lineages of wound and sputum isolates. The study disclosed the higher prevalence of virulent P. aeruginosa in causing infection in the diabetics. No distinct lineages of the wound and sputum isolates indicated their ability to adapt to different host environments. To the best of our knowledge, this is the first study to show the difference in virulence traits among the P. aeruginosa strains isolated from sputum and wound of diabetic patients. Our study distinctly reveals the significance of periodic examination of antibiotic resistance and virulence factors of P. aeruginosa in order to recognize the possible co-regulatory mechanism involved in their expression.
Possibilities of Liquid Chromatography Mass Spectrometry (LC-MS)-Based Metabolomics and Lipidomics in the Authentication of Meat Products: A Mini Review

Abstract The liquid chromatography mass spectrometry (LC-MS)-based metabolomic and lipidomic methodology has great sensitivity and can describe the fingerprint of metabolites and lipids in pork and beef. This approach is commonly used to identify and characterize small molecules such as metabolites and lipids, in meat products with high accuracy. Since the metabolites and lipids can be used as markers for many properties of a food, they can provide further evidence of the foods authenticity claim. Chromatography coupled to mass spectrometry is used to separate lipids and metabolites from meat samples. The research data usually is compared to lipid and metabolite databases and evaluated using multivariate statistics. LC-MS instruments directly connected to the metabolite and lipid databases software can be used to assess the authenticity of meat products. LC-MS has good selectivity and sensitivity for metabolomic and lipidomic analysis. This review highlighted the combination of metabolomics and lipidomics can be used as a reference for analyzing authentication meat products.
Transmit Antenna Selection and Power Allocation for Joint Multi-Target Localization and Discrimination in MIMO Radar with Distributed Antennas under Deception Jamming

In this paper, with the aim of performing joint multi-target localization and discrimination tasks, a performance-driven resource allocation scheme is proposed. In the first, by establishing the signal model under deception jamming and utilizing the maximum likelihood (ML) estimator, the estimation information of targets can be obtained. Secondly, the Cramer–Rao lower bound (CRLB) for the transmit antenna selection and power allocation is derived. Then, to fully utilize the difference in spatial distribution between true and false targets, a false target discriminator based on the CRLB of the distance deception parameter is utilized. By introducing the nondimensionalization mechanism, we build an optimal objective function of target localization error and discrimination probability. Subsequently, a joint multi-target localization and discrimination optimization model has been established, which is mathematically a non-smooth and non-convex problem. By introducing an auxiliary variable, we propose a three-step solution strategy for solving this problem. Simulation results demonstrate that the proposed algorithm can improve the performance of joint localization accuracy and discrimination ability (JLADA) by more than 30% compared with the algorithms only for localization or discrimination. Meanwhile, by utilizing the proposed algorithm, the composite indicators of JLADA can decrease more than 70% compared with the uniform allocation scheme.
Functional equations and inequalities in several variables

Functional Equations and Inequalities in Linear Spaces: Linear Spaces and Semilinear Topology Convex Functions Cauchy's Exponential Equation Polynomial Functions and Their Extensions Quadratic Mappings Quadratic Equation on an Interval Ulam-Hyers-Rassias Stability of Functional Equations: Additive Cauchy Equation Multiplicative Cauchy Equation Jensen's Functional Equation Gamma Functional Equation Stability of Homogeneous Mappings Stability of Functional Equations in Function Spaces Stability in the Lipschitz Norms Round-off Stability of Iterations Functional Equations in Set-Valued Functions: Cauchy's Set-Valued Functional Equation Pexider's Functional Equation Subadditive Set-Valued Functions Hahn-Banach Type Theorem and Applications Subquadratic Set-Valued Functions Iteration Semigroups of Set-Valued Functions.
Development of a systematic multidisciplinary clinical and teaching model for the palliative approaches in patients with severe lung failure

ABSTRACT Palliative medicine has traditionally focused on people affected by cancer with rapidly advancing disease progression. However, as more people live longer time with serious illnesses, including lung diseases, the need of palliative care for these patients if also increasing. There is a lack of research and clinical knowledge about what palliative care is for people affected by chronic obstructive pulmonary disease and interstitial lung disease. The aim of this paper is to describe the development process of an easy to use and clinically relevant model for the palliative care approach in people affected by severe illnesses. The developed model consists of four components, which originated the title” 4,2,4,2 model”. Each number has a specific meaning: the first 4 = the four disease trajectories that patients may experience; 2 = the two forms of knowledge, objective, and intuitive that must be achieved by the health professionals to gain an understanding of the situation; 4 = the four dimensions of suffering physically, mentally, socially and existentially/spiritually; and 2 = the two roles that health-care professionals must be able to take in when treating patients with serious illnesses. The 4-2-4-2 model proposes an easy-to-use and clinically relevant model for palliative approach and integration of PC and pulmonary medicine. Another important purpose of this model is to provide HPs with different educational backgrounds and from different medical fields with a ‘golden standard approach’ to enhance the focus of the palliative approach in both the clinic and teaching. The effect and consequences of the use of the 4-2-4-2 model should be explored in future clinical trials. Furthermore, it should be investigated whether teaching the model creates a change in clinical approach to patients with serious illnesses as well as whether these changes are long-lasting.
Sur la theorie de nevanlinna p-adique

En analyse p-adique, la fonction de valuation permet d'obtenir une borne superieure du nombre de points ou une fonction analytique prend une valeur donnee. Cette observation ne peut etre etendue aux fonctions meromorphes p-adiques que par l'utilisation de la fonction caracteristique de nevanlinna. La croissance a l'infini de la fonction caracteristique nous fournit un critere de rationnalite des fonctions meromorphes. Nous obtenons aussi un critere d'independance algebrique des fonctions meromorphes sur le corps des fractions rationnelles p-adiques a une variable. Un autre interet de la theorie de nevanlinna est son application aux equations differentielles p-adiques. Ainsi on etablit, et on generalise aux polynomes differentiels, l'analogue p-adique d'un theoreme classique de yosida. La derniere partie de ce travail consiste a generaliser tous ces resultats aux courbes meromorphes p-adiques
Adapting to the Instagram Esthetic and Exploring Influencers of Hedonic Consumption

Abstract This paper explores hedonic adaptation and decision-making in hedonic consumption of cosmetic surgery. A mixed-method approach incorporates qualitative research with focus groups and expert panels as well as quantitative research with a self-administered survey that conveniently samples consumers who have previously engaged in a hair transplant or liposuction in USA and India. This research introduces a method that pinpoints and maps out anticipated positive and negative emotions in hedonic adaptation to repeated consumption. It implements an empirical framework that explains and predicts decision-making in hedonic consumption.
Psychosocial Aspects of Living Long Term with Advanced Cancer and Ongoing Systemic Treatment: A Scoping Review

Simple Summary An emerging group of advanced cancer patients are living long term on systemic treatment. However, studies examining the psychosocial impact of this prolonged cancer treatment trajectory are scarce. This scoping review summarizes findings on these psychosocial issues, as well as the terminology used to refer to these patients. Prominent psychosocial outcomes included uncertainty, anxiety, and fear of disease progression or death, hope, loss and worries about loved ones and changes in social life. These themes were not extensively investigated in research using validated psychological questionnaires. More quantitative research in this area should be conducted to further understand these psychological constructs. A large variety of terms used to refer to the patient group was observed, which calls for a uniform definition to better address this specific patient group in research and in practice. By identifying key themes and gaps in the literature, directions for future research and clinical practice can be provided. Abstract (1) Background: Studies examining the psychosocial impact of living long term on systemic treatment in advanced cancer patients are scarce. This scoping review aimed to answer the research question “What has been reported about psychosocial factors among patients living with advanced cancer receiving life-long systemic treatment? ”, by synthesizing psychosocial data, and evaluating the terminology used to address these patients; (2) Methods: This scoping review was conducted following the five stages of the framework of Arksey and O’Malley (2005); (3) Results: 141 articles published between 2000 and 2021 (69% after 2015) were included. A large variety of terms referring to the patient group was observed. Synthesizing qualitative studies identified ongoing uncertainty, anxiety and fear of disease progression or death, hope in treatment results and new treatment options, loss in several aspects of life, and worries about the impact of disease on loved ones and changes in social life to be prominent psychosocial themes. Of 82 quantitative studies included in the review, 76% examined quality of life, 46% fear of disease progression or death, 26% distress or depression, and 4% hope, while few studies reported on adaptation or cognitive aspects. No quantitative studies focused on uncertainty, loss, or social impact; (4) Conclusion and clinical implications: Prominent psychosocial themes reported in qualitative studies were not included in quantitative research using specific validated questionnaires. More robust studies using quantitative research designs should be conducted to further understand these psychological constructs. Furthermore, the diversity of terminology found in the literature calls for a uniform definition to better address this specific patient group in research and in practice.
Effects of a school-based Brazilian jiu-jitsu programme on mental health and classroom behaviour of children from Abu Dhabi: a randomised trial

ABSTRACT This study is a randomised trial which aimed to evaluate the effects of a school-based Brazilian jiu-jitsu (BJJ) programme on the mental health and classroom behaviour of children from a secondary public school in Abu Dhabi, United Arab Emirates (UAE). For this, 88 male sixth-grade schoolchildren were randomly (randomisation [1:1] by lot) assigned to either a BJJ class (experimental group) or a traditional physical education class (control group) for 12 weeks. As inclusion criteria, eligible participants were all children aged 10 through 13, enrolled in the sixth grade of the UAE. The experimental group took two classes per week of BJJ, and the control group took two classes per week of traditional physical education. For the assessment of the primary outcome, the Strength and Difficulties Questionnaire for Teachers model (SDQ-t) was completed before and after the interventions by two classroom teachers. During the study, 8 children did not attend the minimum number of classes and were excluded from the final analyses, leaving 80 children (40 in each group). The results showed that BJJ classes significantly decreased emotional symptoms (p = 0.007; small effect), hyperactivity/inattention (p < 0.001, moderate effect), total difficulties score (p = 0.002; moderate effect), and externalising problems (p = 0.001, |2 = 0.07; moderate effect), when compared with classes of traditional physical education. Thus, the findings of the current study showed that male sixth-grade students in a public school in the UAE demonstrated significant improvements in mental health, as well as in classroom behaviour following their participation in a 12 week BJJ programme.