Natural explanation for 130 GeV photon line within vector boson dark matter model

We present a dark matter model for explaining the observed 130 GeV photon line from the galaxy center. The dark matter candidate is a vector boson of mass $m_V$ with a dimensionless coupling to the photon and $Z$ boson. The model predicts a double line photon spectrum at energies equal to $m_V$ and $m_V(1-m_Z^2/4m_V^2)$ originating from the dark matter annihilation. The same coupling leads to a mono-photon plus missing energy signal at the LHC. The entire perturbative parameter space can be probed by the 14 TeV LHC run. The model has also a good prospect of being probed by direct dark matter searches as well as the measurement of the rates of $h \to \gamma \gamma$ and $h \to Z \gamma$ at the LHC.Comment: 11 pages,4 figures,Discussion of the generalized Chern-Simons term is adde

Higgs Inflation and General Initial Conditions

Higgs field of particle physics can play the role of the inflaton in the early universe, if it is non-minimally coupled to gravity. The Higgs inflation scenario predicts a small tensor to scalar ratio: $r\simeq 0.003$. Although this value is consistent with the upper bound $r < 0.12$ given by BICEP2/Keck Array and Planck data, but it is not at their maximum likelihood point: $r\simeq 0.05$. Inflationary observables depend not only on the inflationary models, but also depend on the initial conditions of inflation. Changing initial state of inflation can improve the value of $r$. In this work, we study the Higgs inflation model under general initial conditions and show that there is a subset of these general initial conditions which leads to enhancement of $r$. Then we show that this region of parameter space is consistent with non-Gaussianity bound.Comment: 13 pages, 2 figure

Adaptive dashboard for IoT environments: application for senior residences

Les tableaux de bord sont de puissants outils électroniques qui peuvent fournir des informations exploitables et utiles pour une intervention rapide et une prise de décision éclairée. Ils peuvent être particulièrement bénéfiques pour favoriser un vieillissement en bonne santé en fournissant aux professionnels de la santé un aperçu en un coup d'œil des conditions du patient (par exemple, les personnes âgées). Alors que la population des personnes âgées augmente dans plusieurs pays, dont le Canada, un grand nombre d'entre eux seront forcés de déménager dans des résidences pour personnes âgées pour des raisons telles que la fragilité, la démence ou le sentiment de solitude. Cette population importante de personnes âgées augmentera la charge de travail des infirmières et des professionnels de la santé travaillant dans ces lieux, en raison du fait que les personnes âgées ont besoin de visites fréquentes et d'une surveillance en raison de leur état de santé. Ce problème a le potentiel de mettre plus de pression sur le système de santé déjà tendu dans les prochaines années. La pénurie d'infirmières et de main-d'œuvre rend la situation plus grave, en particulier dans les pays développés. Il faudrait donc prendre des initiatives pour soutenir les soignants de ces résidences. Le tableau de bord peut jouer un rôle clé pour aider les professionnels de la santé dans leurs tâches car il peut fournir des informations en un coup d'œil et en temps réel sur la situation actuelle. De nos jours, avec les progrès technologiques dans les dispositifs de détection et l'infrastructure IoT ainsi qu'un accès Internet élargi, la surveillance des patients à distance est devenue une option réalisable. Par ailleurs, en utilisant un tableau de bord, les professionnels de la santé peuvent visualiser les informations collectées à distance pour surveiller les personnes âgées vivant dans des résidences, ce qui fera gagner un temps considérable aux professionnels de la santé et les aidera à servir plus de patients. Cependant, il est important de considérer que les résidences pour personnes âgées accueillent généralement un grand nombre de résidents et les professionnels de la santé qui les desservent. Chaque professionnel de la santé est motivé par certains objectifs et exécute des tâches précises selon des priorités différentes. Cette différence change la façon dont chaque fournisseur de soins de santé utilisera le tableau de bord, car ils ont besoin d'informations qui les aident dans leurs tâches principales. Les informations qu'un groupe de professionnels de la santé trouve bénéfiques peuvent ne pas être utiles pour un autre groupe. Ainsi, la méthode de visualisation utilisée pour un individu peut ne pas être significative pour un autre. Par conséquence, les informations doivent être présentées de manière personnalisée et adaptée à un utilisateur ciblé. Il est important de souligner que la visualisation appropriée des informations dans les tableaux de bord est un facteur clé pour offrir une valeur réelle aux utilisateurs. Cette diversité de besoins, de préférences et de priorités doit être prise en compte tout au long de l'élaboration du tableau de bord. En raison de la diversité des rôles et des intérêts existant dans les résidences pour personnes âgées, et compte tenu du coût élevé du développement du tableau de bord, il est très difficile de développer des tableaux de bord séparés pour chaque partie. Cependant, les solutions existantes dans la littérature sont développées à l'aide de méthodes statiques et se concentrent sur la satisfaction des besoins d'un groupe particulier. Ces approches limitent les capacités des tableaux de bord existants à s'adapter aux besoins des différentes personnes. Dans cette étude, nous présentons AMI-Dash comme une tentative de réalisation d'une solution de tableau de bord qui permet une conception dynamique et une visualisation appropriée des informations pour plusieurs groupes. Notre solution vise à fournir les bonnes informations aux bonnes personnes en minimisant le temps nécessaire pour fournir un tableau de bord aux professionnels la santé, afin de les aider dans l'exercice de leurs fonctions en accédant à des informations exploitables. Nous avons également évalué notre solution sous deux aspects : l'évaluation de l'interaction homme-machine et l'évaluation technique. Le résultat de notre évaluation montre que la solution proposée peut satisfaire à la fois les exigences de l'utilisateur final et les exigences techniques tout en maintenant un haut niveau de satisfaction.Abstract: Dashboards are powerful electronic tools that can provide actionable insights for timely intervention and wise decision-making. They can be particularly beneficial to support healthy aging by providing healthcare professionals with at-a-glance overview of health conditions of patients (e.g., older adults). As the population of older adults is increasing in several countries including Canada, a large number of them will be forced to move to Senior Residences due to reasons like frailty, dementia or loneliness. This swelled senior population will increase the workload of nurses and health professionals working in these places, due to the fact that older adults need frequent visits and monitoring because of their health condition. This issue has the potential to put more pressure on the already stretched healthcare system in the next years. The situation is aggravated when it is coincided with the shortage of nurses and workforce especially in developed countries. Therefore, initiative should be taken to support healthcare professionals in these residences. Dashboard can play a key role to support healthcare professionals in their tasks as it can provide real-time information about the current situation in more helpful visualization form. Nowadays, with technological advancements in sensing devices and IoT infrastructure along with broadened internet access, remote patient monitoring has become a feasible option. By utilizing a dashboard, healthcare professionals can visualize information collected remotely to monitor patients/ older adults living in senior residences, which will save a considerable time of healthcare professionals and support them to serve more patients. However, it is important to consider that senior residences usually host a large number of older adults and healthcare professionals that serve them. Each healthcare professional is driven with certain goals, and they have different tasks and priorities. This difference, change how each healthcare professional will utilize the dashboard, as they need information that helps them in their main tasks. The information that a group of healthcare professionals find beneficial might not be useful for another group, and the visualization method used for an individual might not be meaningful for another. Therefore, information should be presented in a personalized way to the targeted user. It is important to emphasize that appropriate visualization of interesting information, in dashboards is a key factor to deliver real value to dashboard users. Due to the variety of roles and interests that exists in senior residences, and considering high development cost of a dashboard, developing separate dashboards for each party is not only difficult but also time consuming. Still, existing solutions in the literature are developed using static methods and they focused on satisfying the needs of a particular group in their domain. These approaches limited the capabilities of existing dashboards to adapt to the needs of different people. We argue that dashboard has to be tailored in order to address the diversity in needs, preferences and priorities of healthcare professionals. In this study we introduce AMI-Dash as an attempt to achieve a dashboard solution that allows dynamic design and information visualization. Our solution focused on providing the right information to the right people while minimizing the time required to deliver a dashboard to health professionals, so that supporting them in performing their duties by accessing timely and actionable information. We also evaluated our proposed solution from two aspects: Human-Computer Interaction Evaluation and Technical Evaluation. The result of our evaluation shows that proposed solution can satisfy both end-user and technical requirements while maintaining a high-level of satisfaction among users

Camera-Based Heart Rate Extraction in Noisy Environments

Remote photoplethysmography (rPPG) is a non-invasive technique that benefits from video to measure vital signs such as the heart rate (HR). In rPPG estimation, noise can introduce artifacts that distort rPPG signal and jeopardize accurate HR measurement. Considering that most rPPG studies occurred in lab-controlled environments, the issue of noise in realistic conditions remains open. This thesis aims to examine the challenges of noise in rPPG estimation in realistic scenarios, specifically investigating the effect of noise arising from illumination variation and motion artifacts on the predicted rPPG HR. To mitigate the impact of noise, a modular rPPG measurement framework, comprising data preprocessing, region of interest, signal extraction, preparation, processing, and HR extraction is developed. The proposed pipeline is tested on the LGI-PPGI-Face-Video-Database public dataset, hosting four different candidates and real-life scenarios. In the RoI module, raw rPPG signals were extracted from the dataset using three machine learning-based face detectors, namely Haarcascade, Dlib, and MediaPipe, in parallel. Subsequently, the collected signals underwent preprocessing, independent component analysis, denoising, and frequency domain conversion for peak detection. Overall, the Dlib face detector leads to the most successful HR for the majority of scenarios. In 50% of all scenarios and candidates, the average predicted HR for Dlib is either in line or very close to the average reference HR. The extracted HRs from the Haarcascade and MediaPipe architectures make up 31.25% and 18.75% of plausible results, respectively. The analysis highlighted the importance of fixated facial landmarks in collecting quality raw data and reducing noise

Designing and manufacturing of the extremely low frequency electromagnetic field generator and detector

Electromagnetic fields (EMFs) are inevitable consequences of modern civilizations and the era of technology. Many investigations have been carried out in order to determine the effects of EMFs on biological organisms specially on human being. In one hand, most of the generators used in these kinds of experiment are not able to expose a large number of animals simultaneously and on the other hand, many environmental electromagnetic fields could be hazardous for exposing people while a portable, low cost and reliable electromagnetic detector is not commercially available. In this study, we introduced an ELF/EMFs generator capable of exposing a large experimental space and a detector of environmental ELF/EMFs which can define their spatial parameters and relevant biological effects

Tachyon Inflation in Teleparallel Gravity

We present a tachyonic field inflationary model in a teleparallel framework. We show that tachyonic coupled with the f(T) gravity model can describe the inflation era in which f(T) is an arbitrary function of torsion scalar T. For this purpose, dynamical behavior of the tachyonic field in different potentials is studied, it is shown that the tachyonic field with these potentials can be an effective candidate for inflation. Then, we discuss slow-roll conditions and show that by the appropriate choice of the parameters, the inflation era can be explained via this model. Finally, we argue that our model not only satisfies the result of BICEP2, Keck Array and Plank for the upper limit of $r < .012$ but also, the obtained value for spectral index $n_{s}$ is compatible with the results of Plank and also Plank + WMAP + HighL + BAO at the 68% confidence level.Comment: 15 pages, 5 figure

The assessment of soil depth sensitivity to dynamic behavior of the Euler-Bernoulli beam under accelerated moving load

Dynamic behavior is one of the most crucial characters in the railways structures. One of the items which leads to precise identification of the dynamic behavior of railways is the soil depth beneath them. In this paper, an Euler-Bernoulli beam on a finite depth foundation under accelerated moving load is presented. The dynamic equilibrium in the vertical direction is only regarded in accordance with the factor of finite beams. In this study, the dynamic equilibrium of the soil in the vertical direction and the sensitivity of soil depth are considered. The governing equations are simulated by using Fourier transform method. Eventually, by considering the sequences of shear waves, and different kinds of damping, displacement of the beam is obtained for the various acceleration, times and soil depth. As a result, it is shown that, higher acceleration is not dramatically effective on the beam displacement. Also, foundation inertia causes a significant reduction in critical velocity and can augment the beam response

Dynamical non-locality in the near-horizon region of a black hole with quantum time

The formalization of the modular energy operator within the curved spacetime is achieved through the timeless approach proposed by Page and Wootters. The investigation is motivated by the peculiar behavior of the near horizon region of a black hole and its quantum effects, leading to a restriction of the study to the immediate vicinity. The focus lies on the perspective of a static observer positioned close to the horizon. This paper highlights the alteration of the modular energy's behavior in this region compared to flat spacetime. Furthermore, it is observed that the geometry of the spacetime influences the non-local properties of the modular energy. Moreover, within the event horizon of the black hole, the modular energy exhibits a completely distinct behavior, rendering its modular behavior imperceptible in this specific region