Miracle-dz/UniFAR-FTUs huggingface dataset:
Best constants in inequalities involving analytic and co-analytic projections and Riesz theorem for various function spaces.

\begin{abstract} Let $P\pm$ be the Riesz's projection operator and let $P_-= I - P_+$. We consider estimates of the expression $\|( |P_ + f | ^s + |P_- f |^s) ^{\frac{1}{s}}\|_{L^p (\mathbf{T})}$ in terms of Lebesgue $p$-norm of the function $f \in L^p(\mathbf{T})$. We find the accurate estimates for $p\geq 2$ and $0<s\leq p$, thus significantly improving results from \cite{KALAJ.TAMS} where it is considered for $s=2$ and $1<p<\infty$. Interestingly, for this range of $s$ there holds the appropriate vector-valued inequality with the same constant. Also, we obtain the right asymptotic of the constants for large $s$. This proves the conjecture of Hollenbeck and Verbitsky on the Riesz projection operator in some cases. As a consequence of inequalities we have proved in the paper we get Riesz-type theorems on conjugate harmonic functions for various function spaces. In particular, slightly general version of Stout's theorem for Lumer Hardy spaces is obtained by a new approach. \end{abstract}
Some of My Favourite Results in Classic Process

As frequent readers of this part of the Bulletin may have already noticed, from this volume I have taken over the job of editing the concurrency column. On behalf of the whole concurrency community, I take this opportunity for thanking my predecessor, Mogens Nielsen, for his superb editorial work over the years. In order to follow on Mogens’ footsteps I need the assistance of the concurrency community, and I encourage anybody interested in contributing an article to the concurrency column to contact me at the above email address.
KINANTHROPOMETRY Anthropometric Somatotype of Indian Combat Sports and Track and Field Athletes: A Systematic Review

Introduction: The utilization of anthropometric somatotyping is prevalent in sports. Recognizing a shared physical prototype and its link to athletic performance in athletes is widely accepted. Therefore, it is crucial to explore this aspect among Indian athletes. The study attempted to systematically collect and analyse existing published literature covering the timeframe from 2003 to June 2023, particularly emphasizing the somatotyping of Indian athletes engaged in combat sports and track and field events. Additionally, efforts were made to assess the prominent accomplishments and constraints evident in the published works during the specified period. Methods : Published studies were collected from various academic databases viz., Google Scholar, PubMed, Scopus, SCISPASE, and Semantic Scholar. Appropriate inclusion and exclusion criteria were drafted, and the studies were selected accordingly. Somatotype categories of individual studies were computed and plotted in the somatocharts following Carter’s method. Results : Sixteen studies comprising 887 athletes (746 males and 141 females) were deemed suitable for inclusion in this review. The combat sports subgroup constituted 361 athletes, and the track and field subgroup comprised 526 athletes. Wrestlers exhibited the highest levels of endomorphy and mesomorphy in combat
Taillis à courtes rotations de peuplier : tarifs masses et volumes

Une etude faite en 1983 sur un echantillon d'environ 600 peupliers issus de taillis a courtes rotations (TCR) avait permis de construire un tarif masse applicable aux arbres dont le diametre ne depassait pas 14 cm. Un nouvel echantillon couvrant une gamme de diametre plus large remet en cause la validite de ce tarif pour l'estimation de la masse de grosses tiges. Par consequent, il est propose un nouveau tarif pour calculer la masse fraiche aerienne totale, mais egalement la masse et le volume de la tige a differentes decoupes.
Pricing of Digital Innovations as an Entrepreneurial Process

How do entrepreneurs set a price for digital innovations they develop and market? This is an important question in current information society where digitalization is making established pricing models outdated. In this study, we focus on this issue by examining w hat kinds of activities and resources entrepreneurs possess when pricing digital innovations. Based on five case studies, including 37 interviews with key decision makers involved in the pricing process, we found that pricing of digital innovations can be conceptualized as an entrepreneurial process in which the pricing capabilities are developed based on the resources at hand. In this view, the pricing model is adjusted through negotiations with customers as an iterative process. Our findings contribute to the IS literature by integrating insights from RBV, DRBV, and entrepreneurship theories to the pricing process of digital innovations. teams,
RETRACTED - Methionine: comparing methionine hydroxyl analogues for broilers, with focus on different thermal environments

Supplementation of methionine (Met) in broiler chicken diets is essential to support productive performance and optimise carcass yield. Met is the first limiting amino acid in corn and soybean-meal based diets for poultry. The DL-Met form is the main source used in broiler diets, but other sources such as acid free hydroxy-analogous methionine (HMA-FA) are available. Studies have indicated that the molar bioequivalence of HMA-FA is approximately 88% compared with DL-Met at 99% for growth traits. However, differences in absorption and metabolism between Met sources can influence their efficacy, especially when broilers are exposed to high temperatures. The substitution of DL-Met by HMA-FA is a potential strategy to mitigate the negative effects of heat stress because it is passively absorbed in the upper portion of the gastrointestinal tract. This review highlights the effects of substituting HMA-FA for DL-Met in diets for broiler chickens reared in different thermal environments.
Transfusion associated complications in cardiac surgery : the swan song of the allogeneic leukocytes ?

Background: Cost-eff ectiveness of leukodepleted erythrocytes (LD) over buff y-coat-depleted packed cells (PC) is estimated from the primary dataset of a recently reported randomized clinical trial involving valve surgery (± CABG) patients. Methods: Data on the patient level of 474 adult patients undergoing valve surgery (± CABG) who were randomized double-blind to LD or PC was used to calculate the healthcare costs and longevity per patient. Th e incremental cost-eff ectiveness ratio (ICER) in net costs per life-year gained was established from the healthcare perspective. Bootstrapping and cost-eff ectiveness acceptability curves were used to determine the confi dence interval of the ICER. Results: Th e longevity of patients in the PC and LD group was 10.6 and 11.4 years respectively. Relative to PC, LD yielded an estimated 0.8 (95% CI-0.27 to 1.84) life-year in baseline. Adjusted for age and gender diff erences health gains for LD are 0.4 life-year gained (95% CI-0.67 to 1.44]. Healthcare costs per patient averaged US$ 10163 per patient in the PC group and US$ 9949 in the LD group. Average cost-savings were US$ 214 (95% CI-1964 to 1536) per patient. Acceptability curves constructed from bootstrap simulations showed a probability of being cost saving of 59% for universal leukodepletion from the healthcare perspective. Th e probability of adopting leukodepletion regardless the costs reaches 92.7%. LD in patients receiving 4 or more transfusions showed the highest cost-savings and health gains. Conclusions: Leukodepletion of erythrocytes is a cost-saving strategy in cardiac valve (± CABG) patients. However, acceptability analysis failed to show a signifi cant diff erence with buff y-coat-depleted packed cells.
Improving Statistical Machine Translation for a Resource-Poor Language Using Related Resource-Rich Languages

We propose a novel language-independent approach for improving machine translation for resource-poor languages by exploiting their similarity to resource-rich ones. More precisely, we improve the translation from a resource-poor source language X1 into a resourcerich language Y given a bi-text containing a limited number of parallel sentences for X1-Y and a larger bi-text for X2-Y for some resource-rich language X2 that is closely related to X1. This is achieved by taking advantage of the opportunities that vocabulary overlap and similarities between the languages X1 and X2 in spelling, word order, and syntax offer: (1) we improve the word alignments for the resource-poor language, (2) we further augment it with additional translation options, and (3) we take care of potential spelling differences through appropriate transliteration. The evaluation for Indonesian → English using Malay and for Spanish → English using Portuguese and pretending Spanish is resource-poor shows an absolute gain of up to 1.35 and 3.37 BLEU points, respectively, which is an improvement over the best rivaling approaches, while using much less additional data. Overall, our method cuts the amount of necessary "real" training data by a factor of 2-5.
Understanding and Modeling Pathways to Thrombosis Understanding and Modeling Pathways to Thrombosis

Intra-vessel thrombosis leads to serious problems in patient health. Coagulation can constrict blood flow and induce myocardial infarction or stroke. Hemodynamic factors in blood flow promote and inhibit the coagulation cascade. Mechanically, high shear stress has been shown to promote platelet activation while laminar flow maintains plasma layer separation of platelets and endothelial cells, preventing coagulation. These relationships are studied experimentally, however, physical properties of thrombi, such as density and viscosity, are lacking in data, preventing a comprehensive simulation of thrombus interaction. This study incorporates experimental findings from literature to compile a characteristic mechanical property data set for use in thrombosis simulation. The focus of this study’s simulation explored how thrombi interact between other thrombi and vessel walls via Volume of Fluid method. The ability to predict thrombosis under specific hemodynamic conditions was also a feature of the data collection. Using patient specific vessel geometry, the findings in this study can be applied to simulate thrombosis scenarios. The possible applications of such a simulation include a more precise method for estimation of patient myocardial infarction or stroke risk and a possible analysis of vessel geometry modification under surgery.
Psychology of Aesthetics,

Does reading ﬁ ction improve our ability to understand one another? Correlational data suggest that lifetime ﬁ ction exposure is positivelyassociated with social outcomes.Experimental data suggest that ﬁ ctionreading may slightly improve social ability, although this conclusion is tenuous. Here, we test ﬁ ction ’ s impact on social outcomes by conducting a study in which adult participants ( N = 210) were randomly assigned to engage in no reading for pleasure, or to read ﬁ ction or non ﬁ ction for 45 min/day, 5 days/week, for 4 weeks. At the end of the study, participants were assessed on three classes of social outcomes: theory ofmind,empathy,andsocialfunctioning.Usingstructuralequationmodeling,wetestedtheimpactof ﬁ ction reading on latent variables representing the aforementioned social outcomes. Fiction readers did not outperform non ﬁ ction readers or participants who abstained from pleasure reading on any social outcome. Non ﬁ ction readers outperformed those who abstained from pleasure reading on the empathy latent variable. We did not observe associations between lifetime ﬁ ction exposure and social outcomes. Taken with the study ’ s limitations, which include a modest sample size, measurement issues, and the possibility that non-study mediawas consumed/produced during the reading period, these data are consistent with the following possibilities regarding ﬁ ction ’ s positive social impact: Such ﬁ ndings may re ﬂ ect a priming effect, mayoccur only after prolonged exposure to ﬁ ction, and/or may occur for readers who exhibit a particular kind of engagement with the reading. Together, this study provides no new evidence of a bene ﬁ cial effect of ﬁ ction reading on social outcomes.
Addressing the cumulative impacts of multiple human pressures in marine systems, for the sustainable use of the seas

Human activities at sea have increased, causing subsequent degradation of ocean health and affecting ecosystem services and societal goods and benefits. Climate change further exacerbates the cumulative effects of these activities and their associated pressures. Hence, effective management of these multiple activities is imperative to ensure the sustainable use of the ocean. In response to these challenges, we have developed a comprehensive conceptual framework model within an ecosystem-based approach. This framework encompasses a versatile toolbox designed to assess cumulative pressures effects and the environmental status under the European Marine Strategy Framework Directive, in compliance with the Birds and Habitats Directives requirements and the need to secure the maintenance of ecosystem services and provision of societal benefits. Although we use European examples in the current discussion, we consider that there are similar challenges in many seas worldwide and so the recommendations here are widely applicable. Our aim is to facilitate the validation, harmonization, and demonstration of this toolbox across European regional seas and several countries, at different scales, from local to regional, including overseas territories. This approach aims to foster comparability in environmental status assessments. We anticipate that the proposed methodologies will serve as a foundational benchmark against which progress can be assessed in line with expectations and policy requirements. Additionally, this work prepares the groundwork for the forthcoming evaluation of the suitability, robustness, and applicability of these solutions and tools, thereby assisting managers in achieving Good Environmental Status (GES), both in European and wider global contexts, to address challenges which are common worldwide.
Generation of Tailored and Conﬁned Datasets for IDS Evaluation in Cyber-Physical Systems

—The state-of-the-art evaluation of an Intrusion Detection System (IDS) relies on benchmark datasets composed of the regular system’s and potential attackers’ behavior. The datasets are collected once and independently of the IDS under analysis. This paper questions this practice by introducing a methodology to elicit particularly challenging samples to benchmark a given IDS. In detail, we propose (1) six ﬁtness functions quantifying the suitability of individual samples, particularly tailored for safety-critical cyber-physical systems, (2) a scenario-based methodology for attacks on networks to systematically deduce optimal samples in addition to previous datasets, and (3) a respective extension of the standard IDS evaluation methodology. We applied our methodology to two network-based IDSs defending an advanced driver assistance system. Our results indicate that different IDSs show strongly differing characteristics in their edge case classiﬁcations and that the original datasets used for evaluation do not include such challenging behavior. In the worst case, this causes a critical undetected attack, as we document for one IDS. Our ﬁndings highlight the need to tailor benchmark datasets to the individual IDS in a ﬁnal evaluation step. Especially the manual investigation of selected samples from edge case classiﬁcations by domain experts is vital for assessing the IDSs.
Supplementation with either Zinc

The current work aimed to investigate the effects of dietary supplementation with either Zinc Oxide (ZnO) or nano-Zinc Oxide (n-ZnO), during post maturation, on some biochemical parameters in mature V-line male rabbits. A total of 30 V-line male rabbits (5 months old) were divided into three equal groups; control group received basal diet, ZnO group received basal diet supplemented with 60mg ZnO/kg and n-ZnO group received basal diet supplemented with 60 mg nano-ZnO/kg for 3 months. At 6th month old, body weight (BW), body weight gain (BWG), food consumption (FC), food conversion ratio (FCR), triiodothyronine (T3), thyroxine (T4), testosterone
STUDY ON DECOULED PROJECTION METHOD FOR CAHN–HILLIARD EQUATION

A BSTRACT . We study the numerical analysis for the Cahn–Hilliard (CH) equation using the decoupled projection (DP) method. The CH equation is a fourth order nonlinear partial differential equation that is hard to solve. Therefore, various of numerical schemes have been proposed to solve the CH equation. To verify the relation of each existing scheme for the CH equation, we consider the DP method for linear convex splitting schemes. We present the numerical experiments to demonstrate our analysis. Throughout this study, it is expected to construct a novel numerical scheme using the relation with existing numerical schemes.
Computers and Operations Research

We study a radio resource allocation problem in mobile communication systems. As the distinct characteristic of this problem, a common data transmission rate is used on all channels allocated to a user. Because the channels differ in their quality, for each user the achievable rate varies by channel. Thus allocating more channels does not necessarily increase the total rate, as the common rate is constrained to be the lowest one supported by the allocated channels. Radio resource allocation subject to the common-rate constraint is of practical relevance, though little attention has been paid to modeling and solving the problem. We take a mathematical optimization perspective with focus on modeling. We first provide a complexity analysis. Next, several integer linear programming (ILP) formulations for the problem, including compact as well as non-compact models, are derived. The bulk of our analysis consists in a rigorous comparative study of their linear programming (LP) relaxations, to reveal the relationship between the formulations in terms of bounding. Computational experiments are presented to illustrate the numerical performance in bounding and LP-assisted problem solving. Our theoretical analysis and numerical results together serve the aim of setting a ground for the next step of developing model-based and tailored optimization methods.
Evaluating a Service-Oriented Architecture

Abstract : The emergence of service-oriented architecture (SOA) as an approach for integrating applications that expose services presents many new challenges to organizations resulting in significant risks to their business. Particularly important among those risks are failures to effectively address quality attribute requirements such as performance, availability, security, and modifiability. Because the risk and impact of SOA are distributed and pervasive across applications, it is critical to perform an architecture evaluation early in the software life cycle. This report contains technical information about SOA design considerations and tradeoffs that can help the architecture evaluator to identify and mitigate risks in a timely and effective manner. The report provides an overview of SOA, outlines key architecture approaches and their effect on quality attributes, establishes an organized collection of design-related questions that an architecture evaluator may use to analyze the ability of the architecture to meet quality requirements, and provides a brief sample evaluation.
Scholarly Commons @ Baptist Health South Florida Scholarly Commons @ Baptist Health South Florida

Interest in mindfulness meditation continues to grow as accumulating evidence suggests mindfulness training encourages more positive functioning. However, basic questions about the conditions best suited for realizing mindful states remain unanswered. Prominent among these is whether a group mindfulness practice setting is more effective for novice medita-tors than a solitary practice setting. Answering this question has assumed new urgency due to the imposition of physical distancing measures designed to stop the spread of COVID-19. In a time of limited social contact, is a simulated group practice setting better than practicing alone? This preliminary study investigated whether environmental setting impacted mindfulness practice experience by examining the effects of three simulated meditation practice environments (1. group practice, 2. nature practice, and 3. solitary practice) on state mindfulness and perceived social connectivity in a sample of novice meditators. Significant differences emerged across the three simulated practice settings. Findings suggest watching others meditate while meditating appears to most effectively induce a state of mindfulness and strengthen feelings of social connectivity. This study supports traditional beliefs about the benefits of group mindfulness practice. These findings also have implications for social workers struggling to stretch limited resources to address growing mental health demands, especially during times of heightened social isolation due to COVID-19. If a simulated group practice confers the same cognitive benefits as solitary practice while also conferring social benefits, simulated group instruction may be preferable for therapeutic and economic reasons.
Comparing narratives on carnivore management in a dryland ecosystem: a case study of state-backed lethal control

Lethal control of native carnivores as a principal management strategy can have unforseen ecological consequences and is often of questionable efficacy. Using as a case study a region where the lethal control of native puma and culpeo foxes has been incentivised via legislation for over 50 years, we examined how this policy has affected institutional narratives in the region. We conducted four key informant interviews with members of relevant institutions to establish their perspectives on carnivore management. We also examined the informational basis for the current legislative approach to predation, and identified topics for discussion surrounding legislation and its formation for decision-makers in the province. We identified a duality where two branches of gove rnment have contradictory policies regarding livestock production and carnivore management. All institutions involved in predation management in rural landscapes produced narratives supporting sustainable development, and suggested, in varying degrees, that alternatives to lethal control would be positive. Interviewees stated that modification of the existing laws require livestock producers to demand a change from policy-makers, who generally view carnivores poorly. Furthermore, there is evidence that discussions surrounding management strategies suffer from cultural bias, with rural inhabitants finding themselves marginalised from the decision-making process. We identified a need for empathy regarding the adverse situation of rural inhabitants facing the impacts of predation, and an appreciation of the role that carnivores play within their environments, so as to change the negative discourse surrounding human–carnivore interactions.
New insights on the Stokes paradox for ﬂow in unbounded domains

Stokes ﬂow equations, used to model creeping ﬂow, are a commonly used simpliﬁcation of the Navier–Stokes equations. In inﬁnite domains, they admit a fundamental paradox. In this work we review this paradox and present new insights related to recent research. We approach the paradox from three different points of view: modern functional analysis, numerical simulations, and classical analytic techniques. The ﬁrst approach yields a novel, rigorous derivation of the paradox. We also show that relaxing the Stokes no-slip condition (by introducing a Navier friction condition) in one case resolves the Stokes paradox but gives rise to d’Alembert’s paradox. The Stokes paradox has previously been resolved by Oseen, who showed that it is caused by a limited validity of Stokes’ approximation. We show that the paradox still holds for the Reynolds–Orr equations describing kinetic energy ﬂow instability, meaning that ﬂow instability steadily increases with domain size. We refer to this as an instability paradox.