Miracle-dz/UniFAR-FTUs huggingface dataset:
Rational solutions of higher order Painlev\'{e} systems I

This is the first paper of a series whose aim is to reach a complete classification and an explicit representation of rational solutions to the higher order generalizations of $\textrm{PIV}$ and $\textrm{PV}$, also known as the $A_N$-Painleve or the Noumi-Yamada system. This paper focuses on the construction of rational solutions for the $A_{2n}$-Painleve system. In this even case, we introduce a method to construct these rational solutions based on cyclic dressing chains of Schrodinger operators with potentials in the class of rational extensions of the harmonic oscillator. Each potential in the chain can be indexed by a single Maya diagram and expressed in terms of a Wronskian determinant whose entries are Hermite polynomials. We introduce the notion of cyclic Maya diagrams and we characterize them for any possible period, using the concepts of genus and interlacing. The resulting classes of solutions can be expressed in terms of special polynomials that generalize the families of generalized Hermite, generalized Okamoto and Umemura polynomials, showing that they are particular cases of a larger family.
Optimization of a Color-Based Spatial Modulation Scheme for VLC Under Illuminance and SINR Constraints

This treatise presents a framework for the optimisation of a colour-based optical spatial modulation for visible light communication (VLC). The focus is particularly on the conflicting interests between illuminance and signal transmission. The system under consideration is configured with a non-line-of-sight (NLoS) model, based on the joint use of colour shift keying (CSK) and optical spatial modulation (OSM) with intensity modulation and direct detection (IM/DD). With the adaptation of the aforementioned optical techniques and convex optimisation, the design and development of a colour-based optical wireless system is carried out. Firstly, an optimisation problem with the intention of minimising the total luminous intensities of the light emitting diode (LED) arrays subject to the transmitting LED array’s optical power budget, minimum required illuminance level, LED-user channel conditions and latency intolerant users’ (LITUs) quality-of-service (QoS) target constraints is defined. Secondly, a coordinated algorithm for the selection of a transmitting LED array, maintenance of a particular illuminance and signal-to-interference-plus noise ratio (SINR) levels during symbol transmission is designed. Lastly, through computer simulations, a numerical analysis is carried out to demonstrate and evaluate the performance of the algorithm. During the transmission of all symbols, the proposed framework is capable of satisfying the SINR target for LITUs while reducing the optical power by approximately 20% to 25% and 20% to 75% for transmitting and non-transmitting LED arrays, respectively. Additionally, provided that the required illuminance level is specified within the standardised levels of 300 lux to 1500 lux, the proposed system can provide adequate illuminance as per the users’ requirement at all points where either a LITU or a latency tolerant user (LTU) is located at any given instance. However, fair SINR levels are not guaranteed at the points where the LTUs are positioned. On the other hand, the algorithm disposes low illuminance levels ranging from 100 lux to 250 lux at locations towards the room boundaries where there are no users. The proposed system is able to achieve data rates of 5 Mbps to 25 Mbps using commercially-off-the-shelf LEDs.
Acyclic anyon models, thermal anyon error corrections, and braiding universality

Acyclic anyon models are non-abelian anyon models for which thermal anyon errors can be corrected. In this note, we characterize acyclic anyon models and raise the question if the restriction to acyclic anyon models is a deficiency of the current protocol or could it be intrinsically related to the computational power of non-abelian anyons. We also obtain general results on acyclic anyon models and find new acyclic anyon models such as $SO(8)_2$ and untwisted Dijkgraaf-Witten theories of nilpotent finite groups.
EFFECTS OF VIBRATION TRAINING ON THE PHYSICAL FITNESS OF SHORT-DISTANCE SWIMMERS

ABSTRACT Introduction Vibration training is a widespread exercise. Existing experimental results show that using vibration strength exercises under the same loading conditions can improve the muscular strength of swimmers’ lower limbs. Objective This paper especially studies the effect of vibration exercise on the physical quality of swimmers under various conditions. Methods The athletes were randomly divided into two groups: the experimental group and the control group. The experimental group used a vibrometer to exercise the lower limb muscles. The control group engaged only in routine training. After eight weeks of practice, the runners tested in the 100m, 150m, 200m, and 400m. The present article also explores the relationship between swimmers of different ages. Results Compared to the control group, there was a significant difference in maximum hip extensor volume between the experimental and control groups. There was also a significant difference between the two groups (P<0.05). The most significant increase in maximal exercise capacity between the two groups was in the ankle. The change in maximum load between the two groups was also significant (P<0.01). Conclusion The vibration training method can improve the swimmer’s knee flexor group. Swimmers can improve their body coordination by performing vibration exercises. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.
Phytosynthesis of Zinc Oxide Nanoparticles Using Ceratonia siliqua L. and Evidence of Antimicrobial Activity

Carob (Ceratonia siliqua L.) is a tree crop cultivated extensively in the eastern Mediterranean regions but that has become naturalized in other regions as well. The present study focused on the green synthesis of zinc oxide nanoparticles (ZnONPs) from Carob and their evaluation for antimicrobial activity in bacteria and fungi. The synthesized ZnONPs showed strong antibacterial activity against Staphylococcus aureus ATCC 25 923 (92%). The NPs inhibited the growth of pathogenic yeast strains, including Candida albicans ATCC90028, Candida krusei ATCC6258, and Candida neoformans ATCC14116, by 90%, 91%, and 82%, respectively, compared to the control. Fungal inhibition zones with the ZnONPs were 88.67% and 90%, respectively, larger for Aspergillus flavus 15UA005 and Aspergillus fumigatus ATCC204305, compared to control fungal growth. This study provides novel information relevant for plant-based development of new and potentially antimicrobial ZnONPs based on extracts. In particular, the development and application of phytogenic nanoparticles enhances the biocompatibility of nano-scale materials, thereby allowing to tune effects to prevent adverse outcomes in non-target biological systems.
Natural lifts of Dorfman brackets

In this note we prove that, for a vector bundle $E$ over a manifold $M$, a Dorfman bracket on $TM\oplus E^*$ anchored by $\operatorname{pr}_{TM}$ and with $E$ a vector bundle over $M$, is equivalent to a lift from $\Gamma(TM\oplus E^*)$ to linear sections of $TE\oplus T^*E\to E$, that intertwines the given Dorfman bracket with the Courant-Dorfman bracket on sections of $TE\oplus T^*E$. This shows a universality of the Courant-Dorfman bracket, and allows us to caracterise twistings and symmetries of transitive Dorfman brackets via the corresponding lifts.
A Family of Bipolar High Step-Up Zeta–Buck–Boost Converter Based on “Coat Circuit”

A family of bipolar high step-up zeta–buck–boost converters based on the “coat circuit” is proposed, which can be used to connect a low-voltage dc source and a bipolar dc bus. Like the basic zeta or buck–boost converter, it contains only one active switch, so its control method and drive circuit are simple to achieve. The conversion ratio of the proposed converter is effectively increased through a “coat circuit,” and the voltage stress of the devices is reduced. In addition, the positive and negative voltages of the bipolar output voltage of the converter can be automatically equalized. Working principle and performance analysis of the proposed converter has been given in this article in detail, and a 400 W experimental prototype has been built to verify the correctness and effectiveness of the theoretical analysis.
A New Symmetrical Multilevel Inverter with Reduced Components Using Carrier Based PWM Technique

A wide attention from academia and industry have been received for Multilevel Inverters (MLIs) as they offer high power capacity with lower harmonics and less switching losses. Usage of large number of switches in the conventional configuration causes a limitation which leads to the development of new topology with less switch count. This paper presents a development of Reduced Switch Single Source (RSSS) MLI which is capable of producing all voltage levels. The analysis of RSSS MLI is done using 15- level MLI which consists of very less number of components as compared with conventional topologies, thereby ensuring the reducing size, minimum switching loss and installation cost. The harmonic contents of output voltage is obtained and compared using carrier-based PWM technique. MATLAB/Simulink environment is used to validate the results.
Attosecond Control of Ionization Dynamics

Attosecond pulses [1, 2] can be used to initiate and control electron dynamics on a sub-femtosecond time scale. The first step in this process occurs when an atom absorbs an ultraviolet photon leading to the formation of an attosecond electron wave packet (EWP). Until now, attosecond pulses have been used to create free EWPs in the continuum, where they quickly disperse [3, 4, 5, 6, 7]. In this paper we use a train of attosecond pulses, synchronized to an infrared (IR) laser field, to create a series of EWPs that are below the ionization threshold in helium. We show that the ionization probability then becomes a function of the delay between the IR and attosecond fields. Calculations that reproduce the experimental results demonstrate that this ionization control results from interference between transiently bound EWPs created by different pulses in the train. In this way, we are able to observe, for the first time, wave packet interference in a strongly driven atomic system.
Travel intentions in pandemic circumstances – the case of Balkan tourists

Examination of tourist behaviour during and after the crisis is of great importance for understanding and coping with the harmful effects of the crisis. The study aims to discover the impact of perceived risks, health status, and travel experience on proximal travel intentions during the Covid-19 outbreak. Perceived risks that coronavirus brought reshaped the collective awareness and altered typical travel habits. The research involved 1109 respondents from four Balkan countries who participated in an online survey at the first peak of the pandemic (April 2020). According to the results, perceived risk negatively influenced travel intentions. The study presumed the positive influence of previous travel experience on travel intentions and indicated its negative impact on risk perception. Results showed that subjective health condition positively affected travel intention and had no significant effect on risk perception. The profound uncertainty that the tourism sector experienced is primarily reflected in an immense impact on the travel possibilities and changes in tourist preferences. This study offers an insight into peoples' travel intentions influenced by a global health crisis, reflecting specific risk negation when it comes to the timing of after-crisis travel plans.
Demonstration of adaptive camouflage for the soldier

With the increased threat from advanced sensor systems using several wavelength bands and sensor fusion, the requirements on camouflage increase. Consequently, in order to reduce the risk of EU soldiers being detected, identified and engaged, adaptive camouflage prototypes have been developed, implemented and demonstrated. Several active and passive adaptation mechanisms were integrated into a textile-based soldier camouflage system. The prototypes address several wavelength bands, including visual, thermal infrared and radar. Military needs on sensing, fire power, mobility, compatibility with other equipment and wearing endurance were considered. The demonstration, at TRL5, took place in a relevant environment, an area adjacent to vegetation and buildings close to Paris, France. The reduction in detection range and hence the increase in survivability, as established in field trials previously conducted in Portugal and France, was made clear during the demonstration. The demonstrated technology comprised actively controlled light emitting diodes and thermochromic materials for visible signature adaptation, phase change materials and biologically degradable insulating cellulose cells (cork) for thermal camouflage and radar absorbing coatings with conjugated polymer compositions. Two suits were shown with soldiers walking along a treeline and in front of buildings. Prior to the public demonstration laboratory tests of the materials and components had been performed as well as ergonomic tests, signature measurements in different backgrounds and light conditions and radar cross section measurements at an outdoor test range. Production technologies were studied and production cost estimated. It was concluded that a similar system can be produced at a reasonable cost and the production scaled up to larger volumes. Throughout the project, dialogue with military end-users was upheld concerning requirements and applicable environments and tactical situations in order to ensure relevance. Military end-users from Sweden, Portugal, Germany, France, Lithuania and the Netherlands were invited to the final workshop and technical demonstration.
A simple algorithm for Max Cut

Based on an explicit equivalent continuous optimization problem, we propose a simple continuous iterative algorithm for Max Cut, which converges to a local optimum in finite steps. The inner subproblem is solved analytically and thus no optimization solver is called. Preliminary results on G-set demonstrate the performance. In particular, the ratio between the best cut values achieved by the simple algorithm without any local breakout techniques and the best known ones is of at least $0.986$.
Computing the Best Approximation over the Intersection of a Polyhedral Set and the Doubly Nonnegative Cone

This paper introduces an efficient algorithm for computing the best approximation of a given matrix onto the intersection of linear equalities, inequalities and the doubly nonnegative cone (the cone of all positive semidefinite matrices whose elements are nonnegative). In contrast to directly applying the block coordinate descent type methods, we propose an inexact accelerated (two-)block coordinate descent algorithm to tackle the four-block unconstrained nonsmooth dual program. The proposed algorithm hinges on the efficient semismooth Newton method to solve the subproblems, which have no closed form solutions since the original four blocks are merged into two larger blocks. The $O(1/k^2)$ iteration complexity of the proposed algorithm is established. Extensive numerical results over various large scale semidefinite programming instances from relaxations of combinatorial problems demonstrate the effectiveness of the proposed algorithm.
Sharp weighted bounds involving A_\infty

We improve on several weighted inequalities of recent interest by replacing a part of the A_p bounds by weaker A_\infty estimates involving Wilson's A_\infty constant \[ [w]_{A_\infty}':=\sup_Q\frac{1}{w(Q)}\int_Q M(w\chi_Q). \] In particular, we show the following improvement of the first author's A_2 theorem for Calder\'on-Zygmund operators T: \[\|T\|_{B(L^2(w))}\leq c_T [w]_{A_2}^{1/2}([w]_{A_\infty}'+[w^{-1}]_{A_\infty}')^{1/2}. \] Corresponding A_p type results are obtained from a new extrapolation theorem with appropriate mixed A_p-A_\infty bounds. This uses new two-weight estimates for the maximal function, which improve on Buckley's classical bound. We also derive mixed A_1-A_\infty type results of Lerner, Ombrosi and the second author (Math. Res. Lett. 2009) of the form: \[\|T\|_{B(L^p(w))} \leq c pp'[w]_{A_1}^{1/p}([w]_{A_{\infty}}')^{1/p'}, 1<p<\infty, \] \[\|Tf\|_{L^{1,\infty}(w)} \leq c[w]_{A_1} \log(e+[w]'_{A_{\infty}}) \|f\|_{L^1(w)}. \] An estimate dual to the last one is also found, as well as new bounds for commutators of singular integrals.
EtG Quantification in Hair and Different Reference Cut-Offs in Relation to Various Pathologies: A Scoping Review

Ethyl glucuronide (EtG) is a non-volatile, non-oxidative, hydrophilic, and stable ethanol phase II metabolite. EtG is produced through ethanol glucuronidation by UDP-glucuronosyltransferase (UGT), a phase II enzyme. EtG can be extracted from different biological matrices, including keratin ones, such as hair or nails. The purpose of this scoping review is to describe the relationship between EtG levels in hair and some of the most common and frequent pathological conditions and verify whether different reference cut-offs in relation to various pathologies have been identified in the scientific literature. In fact, in-depth knowledge of the influence of pathologies, such as diabetes mellitus, hepatic and renal dysfunction, on EtG production and its storage in keratin matrices would allow a more appropriate interpretation of obtained data and rule out false positives or false negatives. This scoping review is based on bibliographic research carried out on PubMed regarding the quantification of EtG in hair of subjects affected by different pathological conditions. According to the scientific literature, the main and most common pathologies that can affect the concentration of EtG in hair are liver and kidney diseases and diabetes. The EtG quantification analytical data should be interpreted carefully as they may have a great impact in both forensic and clinical contexts.
A comprehensive review of cybersecurity perspective for Wireless Sensor Networks

Cybersecurity is treated by the CIA triad, used as an accepted generalized framework with its components consisting of confidentiality, integrity, and availability. Many authors who treat cybersecurity in Wireless Sensor Networks (WSNs), replace the components of CIA triad with other attributes or require other security components such as networks. The aim of this research is focused on proving if these approaches are necessary at WSNs. To prove this, a literature review is conducted at the related works of the topic by searching the keywords at the well-known publishers such as IEEE, Springer, and Elsevier as well as institutions that supply with cybersecurity frameworks, all published within the last five years. The processed information shows a comprehensive review of cybersecurity perspective which proves that the CIA triad is the sufficient framework about cybersecurity also for the WSN s. The paper explores this information by supplying data from related research where the findings are summarized, discussed, and concluded.
Aspect-Guided Syntax Graph Learning for Explainable Recommendation

Explainable recommendation systems provide explanations for recommendation results to improve their transparency and persuasiveness. The existing explainable recommendation methods generate textual explanations without explicitly considering the user's preferences on different aspects of the item. In this paper, we propose a novel explanation generation framework, namely <bold><underline>A</underline></bold>spect-guided <bold><underline>E</underline></bold>xplanation generation with <bold><underline>S</underline></bold>yntax <bold><underline>G</underline></bold>raph (<bold>AESG</bold>), for explainable recommendation. Specifically, AESG employs a review-based syntax graph to provide a unified view of the user/item details. An aspect-guided graph pooling operator is proposed to extract the aspect-relevant information from the review-based syntax graphs to model the user's preferences on an item at the aspect level. Then, an aspect-guided explanation decoder is developed to generate aspects and aspect-relevant explanations based on the attention mechanism. The experimental results on three real datasets indicate that AESG outperforms state-of-the-art explanation generation methods in both single-aspect and multi-aspect explanation generation tasks, and also achieves comparable or even better preference prediction accuracy than strong baseline methods.
Factorization invariants in numerical monoids

Nonunique factorization in commutative monoids is often studied using factorization invariants, which assign to each monoid element a quantity determined by the factorization structure. For numerical monoids (co-finite, additive submonoids of the natural numbers), several factorization invariants have received much attention in the recent literature. In this survey article, we give an overview of the length set, elasticity, delta set, $\omega$-primality, and catenary degree invariants in the setting of numerical monoids. For each invariant, we present current major results in the literature and identify the primary open questions that remain.
Anonymo: Automatic Response and Analysis of Anonymous Caller Complaints

Customers are considered as the most valued asset in any business organization. Therefore, attending especially to negative feedback provided by customer in form of complaints is important for an organization to identify areas to improve and retain customers. To quickly respond to customer complaints many business organizations have made hotlines available. Such caller hotlines are dedicated for the purpose of receiving complaints or allowing whistleblowers to reveal information. Due to the fear of being identified, there is a hesitancy in the public to use these hotlines. From the perspective of the organizations when a customer complaint is received it is required to evaluate the validity of the call made to hotlines. Furthermore, when complaints are made, it is required to handle them efficiently by transferring them to relevant departments and prioritize complaints This research proposes ‘Anonymo’, a system to handle customer complaints in a secure and an efficient manner. To do so, the system analyses the complaints obtained by a caller and provides the end users with the appropriate responses and output, that includes the following: i. Conversational AI agent to respond to callers, ii. Wanted and unwanted call classification, iii. Department-based Complaint classification, iv. Caller Emotion detection and caller complaint analysis while establishing the caller’s anonymity. An accuracy of 88.26% was obtained for identification of wanted complaints using SVM algorithm, an accuracy of 85% was obtained for department-based classification using SVM algorithm and 67% accuracy was obtained for emotion analysis by LSTM algorithm.
The Primordial Particle Accelerator of the Cosmos

In a previous paper we have shown that superluminal particles are allowed by the general relativistic theory of gravity provided that the metric is locally Euclidean. Here we calculate the probability density function of a canonical ensemble of superluminal particles as function of temperature. This is done for both space-times invariant under the Lorentz symmetry group, and for space times invariant under an Euclidean symmetry group. Although only the Lorentzian metric is stable for normal matter density, an Euclidian metric can be created under special gravitational circumstances and persist in a limited region of space-time consisting of the very early universe, which is characterized by extremely high densities and temperatures. Superluminal particles also allow attaining thermodynamic equilibrium at a shorter duration and suggest a rapid expansion of the matter density.