Miracle-dz/UniFAR-FTUs huggingface dataset:
Scalars in (Warped) Extra Dimensions : Climbing from the Bottom to the Top

Almost two decades ago, the paradigm of extra-dimensional models addressing the gauge hierarchy problem attracted much attention through the elegant proposals of large, flat extra dimensions (EDs) - the Arkani-Hamed-Dimopoulos-Dvali or ADD model - and warped EDs - the Randall-Sundrum or RS model. In this thesis, we discuss several models inspired from such extra-dimensional scenarios. We start by introducing some key elements of field theory in five space-time dimensions and showing how such scenarios provide a solution to the hierarchy problem. Afterwards, in a first part of this work, we adopt a bottom-up approach and study several models containing Vector-Like Fermions (VLFs), which are typically predicted in ED frameworks. We show how adding Vector-Like Quarks (VLQs) to the Standard Model (SM) allows one to simultaneously explain the anomalies in the (i) b-quark forward-backward asymmetry measured at the Large Electron-Positron collider (LEP) and (ii) the tth production cross section measured at the Large Hadron Collider (LHC). Using the so-called Higgs decay ratios, we also estimate the sensitivity of the upgraded LHC, the High-Luminosity LHC, to the presence of VLQs. Then, we consider a Two-Higgs Doublet Model (2HDM) extended with Vector-Like Leptons (VLLs) in order to fit the mysterious 750 GeV excess observed at LHC in late 2015. Within a similar model, we also explain the Dark Matter (DM) abundance in the Universe, our DM candidate being a neutral VLL, which is rendered stable by a suitable Z2 symmetry. Later on, in a second part of the thesis, we focus on the more concrete warped ED scenario endowed with a bulk custodial symmetry, which protects the model from large electroweak (EW) corrections. In this framework, we first interpret the 2 TeV diboson bump observed at LHC in 2015 as a superposition of Kaluza-Klein (KK) gauge bosons produced in the s-channel. Afterwards, we study the phenomenology of the mixed Higgs-radion scalar sector of the aforementioned model. In particular, we estimate the sensitivity of the LHC and of a future electron-positron collider (the International Linear Collider - ILC) to the existence of a radion via its production in association with a Z boson.
Gamma-Ray Burst in the Swift/Fermi Era and Beyond

e Swift and Fermi satellites have been observing gammaray bursts (GRBs), which are short-lived and intense flashes of gamma-rays associated with the death/explosion of massive stars and/or compact binary mergers, for nearly a decade in space since their launch in 2004 and 2008, respectively. Our understanding of GRB physics, though still far from complete, has been revolutionized thanks to their outstanding observations, as well as the ongoing ground follow-up observations. In addition to a previously published special issue, “Gamma-Ray Bursts in the Swi and Fermi Era,” which discussed GRB work related to the Swift and Fermimissions, here we continue collecting reviews and research articles on GRBs and their a erglows. In total, five reviews andone research article are published in this special issue. e review article by M. Tanaka summarizes the current understanding of kilonovae/macronovae related to the GRBs. In comparison, Z. Cano et al. present an up-to-date review of progress on the connection between supernovae and long-duration GRBs. Next, the review article by M. Dainotti et al. discusses various GRB correlations during the prompt phase and their use as redshi estimators and possibly as cosmological tools. In contrast, the review by J. J. Geng and Y. F. Huang focuses on the GRB a erglow phase, discussing the diverse features of the multiwavelength a erglows of GRBs. One other article by M. Jelinek et al. presents a decade of optical follow-up observations of GRBs by the BOOTES telescope in Spain. Lastly, P. Chandra discusses GRBs from the radio perspective, which is very important for studies of GRBs related to their calorimetry, reverse-shock emission, and circumburst environments. Overall, this volume extends the discussions of the previously published special issue, “Gamma-RayBursts in the Swi and Fermi Era,” and covers more topics about GRBs from gamma-ray to radio wavelengths. ese are the most updated summaries of progress on GRB studies during the Swift and Fermi mission periods. We hope these two special issues provide useful information for GRB researchers, helping to lead to new results and progress even beyond the Swift and Fermi era.
Classifying Spaces of Degenerating Polarized Hodge Structures.

Suugaku wa mugen enten kou kokoro Koute kogarete harukana tabiji by Kazuya Kato and Sampei Usui, which was translated by Luc Illusie as L'impossible voyage aux points à l'infini N'a pas fait battre en vain le coeur du géomètre Princeton University Press regrets that an error was introduced in this frontispiece during the printing process. The correct version appears above.
Understanding Supermassive Black Holes Using the Dark Energy Survey and OzDES

I present the initial results of characterizing moderate redshift (z ≤ 2) quasars in the Dark Energy Survey (DES) by their variability. As the scales associated with supermassive black holes (SMBHs) are too small to be resolved directly, alternative methods are necessary to learn about their structure, how they grow, and how they impact their environments. One such method is through variability. Quasars are naturally variable objects, and by measuring the time delay to different emitting regions as they respond to changes in the extreme ionizing UV photons produced at the inner edge of the disk, we can estimate normally inaccessible size scales associated with SMBHs. This technique is known as reverberation mapping. I first apply this technique to probe accretion disk sizes. Only a handful of such measurements exist in the literature, sampled through reverberation mapping or gravitational microlensing. I measure time delays between the DES photometric bands to place constraints on accretion disk sizes, and then present a software extension to the JAVELIN code that provides a Bayesian framework for fitting a thin accretion disk model directly to the data rather than the individual lags themselves. This is tested on fake data as well as the highest quality dataset available for a local active galaxy, NGC 5548, before being applied to a sample of DES quasars. This
Multiplicité un pour les espaces symétriques exponentiels

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Threshold for discretely self-similar satellite drop formation from a retracting liquid cone

Predicting the size of droplets that pinch off from a liquid jet is important to applications ranging from bubble-initiated atmospheric aerosols to inkjet printing. These predictions are complicated by smaller satellite drops that form when a thin liquid thread develops and breaks up faster than its ends fully retract. Typically this process is modeled by perturbing a cylindrical liquid thread with an amplitude that is small relative to the cylinder diameter. Yet early on in the pinch-off process, the ends of the liquid thread are conical and lack a characteristic length scale from which to normalize a finite perturbation. Here we numerically simulate the retraction of nearly-inviscid conical filaments and introduce self-similar perturbations to drive the system into a discretely self-similar retraction that can enable breakup without biasing a particular length scale. We find that for most cone angles, the perturbation amplitude must exceed a threshold for satellite drops to form. We show that this critical perturbation amplitude depends on the cone angle and can be accurately predicted by an argument based on the static stability of the initial perturbed cone.
Patient Satisfaction With General Anesthesia Compared to Spinal Anesthesia for Cesarean Section: A Multicenter Observational Study

Background Satisfaction in patients undergoing cesarean section (CS) is of great importance in every hospital. There are big differences between spinal and general anesthesia for CS in terms of outcome, recovery times, and quality of service. Methods This multicenter observational study included 1443 patients who had elective (n=622) or emergency (n=821) CS in five medical centers over the period of 16 months. Bauer questionnaire was used for measuring patient satisfaction after CS. The questionnaire contained 15 questions about anesthesia-related discomfort and satisfaction with anesthesia care. Results During the study period, 1161 (80%) patients underwent CS under general anesthesia (GA) and 282 of them (20%) received spinal anesthesia (SA) for CS. The most frequently reported anesthesia-related discomfort was pain at the surgical site (>70%), drowsiness (68%), and thirst (60%). The data on patient satisfaction showed high satisfaction that exceeded 90%. Anesthesia side effects were less frequent and the general satisfaction rate was higher in the SA group compared to the GA group (P < .001). Conclusion SA for CS had less frequent side effects and a better satisfaction rate compared to GA for CS. Hospitals need to make room for improvement of postoperative acute pain control and introduction to Enhanced Recovery After Surgery (ERAS) protocols for elective CS.
Optimal tracking control of flow velocity in a one-dimensional magnetohydrodynamic flow

ABSTRACT This article considers a dynamic optimization problem arising in a one-dimensional magnetohydrodynamic flow, which can be modelled by coupled partial differential equations, where the external control input (external induction of magnetic field) takes a multiplicative effect on the system states (momentum and magnetic components). The aim is to drive the flow velocity to within close proximity of a desired target of flow velocity at the pre-indicated terminal time. First, the Galerkin method is utilized to reduce the original dynamic optimization problem to a lower finite-dimensional dynamic optimization problem governed by a set of ordinary differential equations. Then the control parameterization method is employed to parameterize the finite-dimensional optimization problem and thus obtain an approximate optimal parameter selection problem, which can be solved using gradient-based optimization techniques, such as sequential quadratic programming. The exact gradients of the cost functional with respect to the decision parameters, which are the key advantages of this approach, are computed using the analytical equations. Finally, numerical examples are illustrated to verify the effectiveness of the proposed method. The novel scheme of this article is to develop an effective computational optimal control method for realizing the optimal tracking control of flow velocity in a one-dimensional magnetohydrodynamic flow.
Quality of life among mothers of preterm newborns in a Malaysian neonatal intensive care unit

Background As Quality of Life (QoL) becomes progressively vital in health care services, its importance in mother and child health is of no exception too. Quality of life among mothers with a premature newborn is an issue that has led to growing concerns in the health care system. Yet, despite the knowledge about mother’s QoL being essential to family-centered planning on prematurity integrated healthcare, current evidence has been scant. Objective To examine factors related to the QoL of mothers having preterm newborns hospitalized in the neonatal critical unit. Methods A non-probability convenience survey was used in a public hospital in Malaysia, covering 180 mothers whose preterm newborns were hospitalized into level III Neonatal Intensive Care Unit (NICU) through the completion of a 26-questions survey of the World Health Organization Quality of Life (WHOQOL-BREF) and the 26-questions of Parental Stress Scale: Neonatal Intensive Care Unit (PSS: NICU). The data were analyzed using descriptive statistics, bivariate analysis, and Pearson correlation coefficients. Result The mean scores for mothers' quality of life were (M = 3.67, SD = 0.73) and maternal stress (M = 3.03, SD = 0.90) out of 5. A mother’s occupation was found to be the only factor associated with the quality of life among mothers who have preterm newborns admitted to the NICU. Furthermore, maternal role change was found to have a moderate negative relationship with the quality of life (r = 0.310, p = 0.05). Conclusion The findings of this study revealed that the main factors contributing to the mother’s QoL during their preterm newborns’ NICU admission were role change-related stress. Thus, to maintain a better QoL among this group of mothers during this traumatic period, a special nursing intervention program must be implemented immediately, right after the preterm newborns’ admission, to relieve the mothers’ stress which has been proven to have a direct effect on the mothers’ QoL. The study results will alert healthcare providers, particularly neonatal nurses, on the need to support mothers psychologically in terms of role change. This is to ensure a better quality of life among mothers whose newborns were admitted to the NICU.
Effect of intra-ovarian platelet rich plasma in women with poor ovarian response

Background: Poor ovarian responder (POR) women, whose ovarian response to gonadotropin stimulation has decreased, are at higher risk of unsuccessful in-vitro fertilization (IVF). Therefore, this study designed to evaluate the effect of intra-ovarian platelet rich plasma (PRP) on POR women. Methods: This single-arm trial research was done on 20 POR women referred to the IVF Unit, university-based hospital, Tehran, Iran between October 2020 and September 2021. For all participants, autologous PRP was injected into each ovary by transvaginal ultrasound guidance under spinal anesthesia between days 12 and 14 of the menstrual cycle. After 12 weeks of PRP injection, embryo transfers were carried out following our routine IVF department protocol. The study outcomes were the number of mature oocytes, and pregnancy rates. Results: The average age of the participants was 41.80±1.82 yr. The average infertility duration was 9.70±1.89 yrs. , with 80% primary infertility type. After PRP injection, follicle-stimulating hormone levels dropped about 1% (P=0.499), anti-Mullerian hormone levels were on average 4.5% higher (P=0.356), and estradiol levels raised by 1.2% (P=0.681). The average number of oocytes and their quality increased after PRP injection, while these changes were not significant (p-value>0.05). Chemical pregnancy was detected in 3 (15%) women and clinical pregnancy was detected only in one person. Conclusion: This study revealed that PRP injection into ovaries of POR women is safe and had a tendency to improve ovarian reserve markers and serum levels of AMH, estradiol, number and quality of oocytes.
Children’s psychosocial state after the 2018 Lombok earthquake

Background The current earthquake disaster in Lombok, Indonesia, in July 2018 has caused 564 deaths, and 445.343 were evacuated to refugee camps, including children. Disasters have the potential in resulting short-and long-term effects on the psychological functioning, emotional adjustment, health, and developmental trajectory of children. Nurses play a significant role when a disaster occurs. One of the nurses’ roles is to give a traumatic healing intervention to the victims Objective This study sought to assess children’s psychosocial state after the 2018 Lombok earthquake. Methods A total of 189 children from five regencies in Lombok were selected to participate in the study using accidental sampling. Data were collected using the Strengths and Difficulties Questionnaire (SDQ). Descriptive statistics and cross-tabulation were used for data analysis. Results The participants consisted of 98 girls (51.9%) and 91 boys (48.1%), with the majority (n = 142 [75.1%]) being from school-aged children. The SDQ results showed that most of the children were at the abnormal stage for difficulties (n = 103 [54.5%]), and most of them were at a normal stage for strength (n = 97 [51.3%]). The cross-tabulation analysis revealed that gender might influence the SDQ score for the strength (p = 0.034), but not for difficulties (p = 0.482). However, age did not have a correlation with SDQ score, either for strength (p = 0.475) or difficulties (p = 0.836), respectively. Conclusion The study found that children in Lombok generally displayed positive behavior and emotional progress after the earthquake. However, some children remained in distress and thus required more observation from parents or other social welfare agencies. This research may help nurses decide on their nursing care for children who experience disasters.
Serologic evaluation of cytomegalovirus (CMV), Toxoplasma gondii and Brucella in schizophrenia patients

Background: Infectious agents are considered as a possible cause of schizophrenia. The aim of this study was to evaluate the serum levels of cytomegalovirus (CMV), Toxoplasma gondii and Brucella antibodies in schizophrenia patients compared with the control group. Methods: This cross-sectional study was performed on 75 patients with schizophrenia who were clinically diagnosed with schizophrenia using the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) by two independent psychiatrists. As the controls, 75 sex and age-matched individuals were selected from orthopedic and surgical wards, who were admitted because of trauma. Anti-Toxoplasma gondii IgG antibody was detected by Abbott's company diagnostic kit. To detect anti-Brucella IgG antibodies, the enzyme-linked immunosorbent assay (ELISA) test with Vircell diagnostic kit was used. Quantitative luminescence (CLIA) method using Abbott diagnostic kit was also used to detect anti-cytomegalovirus IgG antibody (CMV IgG avidity). Results: There was not any clinically significant differences in the mean value of Toxoplasma, CMV and Brucella IgG antibodies between schizophrenia and control group. However, considering cut-off point for these tests and further analysis with non-parametric tests showed clinically significant difference between two groups at cut-off point 1.1 for anti-Brucella IgG antibody which indicated more positive samples in schizophrenia group (24 out of 75) than control group (12 out of 75) with a p-value less than 0.05 (0.046). Conclusion: The results of the present study showed no association between toxoplasmosis infection and CMV and schizophrenia. However, there might be a positive correlation between anti-Brucella IgG antibody and schizophrenia.
Genome Dynamics and Temperature Adaptation During Experimental Evolution of Obligate Intracellular Bacteria

Abstract Evolution experiments with free-living microbes have radically improved our understanding of genome evolution and how microorganisms adapt. Yet there is a paucity of such research focusing on strictly host-associated bacteria, even though they are widespread in nature. Here, we used the Acanthamoeba symbiont Protochlamydia amoebophila, a distant relative of the human pathogen Chlamydia trachomatis and representative of a large group of protist-associated environmental chlamydiae, as a model to study how obligate intracellular symbionts evolve and adapt to elevated temperature, a prerequisite for the pivotal evolutionary leap from protist to endothermic animal hosts. We established 12 replicate populations under two temperatures (20 °C, 30 °C) for 510 bacterial generations (38 months). We then used infectivity assays and pooled whole-genome resequencing to identify any evolved phenotypes and the molecular basis of adaptation in these bacteria. We observed an overall reduction in infectivity of the symbionts evolved at 30 °C, and we identified numerous nonsynonymous mutations and small indels in these symbiont populations, with several variants persisting throughout multiple time points and reaching high frequencies. This suggests that many mutations may have been beneficial and played an adaptive role. Mutated genes within the same temperature regime were more similar than those between temperature regimes. Our results provide insights into the molecular evolution of intracellular bacteria under the constraints of strict host dependance and highly structured populations and suggest that for chlamydial symbionts of protists, temperature adaptation was facilitated through attenuation of symbiont infectivity as a tradeoff to reduce host cell burden.
Assessment of Current Capabilities in Modeling the Ionospheric Climatology for Space Weather Applications: foF2 and hmF2

This paper presents preliminary results of a metrics‐based assessment of current modeling capabilities in predicting the ionospheric climatology for two ionospheric characteristics, the foF2 and hmF2. This work is part of the activities of the Ionosphere Working Group of the International Forum for Space Weather Modeling Capabilities Assessment that is facilitated by the Community Coordinated Modeling Center. The results are based on the comparison between modeled and observed monthly medians of the foF2 and hmF2. Modeling formulations considered here include two empirical models (the International Reference Ionosphere [IRI] and Massachusetts Institute of Technology [MIT] Empirical model), as well as two physics‐based, coupled ionosphere‐thermosphere models (the Coupled Thermosphere Ionosphere Plasmasphere Electrodynamics [CTIPe] and Thermosphere‐Ionosphere‐Electrodynamics General Circulation Model [TIE‐GCM]). The comparisons were carried out in year 2012 over seven ionospheric locations distributed worldwide in the Northern Hemisphere. Based on our findings, although significant errors are occasionally obtained from all modeling approaches, empirical models tend to provide systematically better correlation with the observed medians and follow the observed distributions more successfully, offering smaller prediction errors than the physics‐based ones. In case of foF2, the averaged prediction accuracy in terms of root‐mean‐square error (RMSE) ranges around 1.5 MHz for physics‐based models and 0.5 MHz for empirical models. In case of hmF2, it ranges around 30 and 20 km, respectively. The prediction accuracy presents strong seasonal and local time dependence, which differs for different models and ionospheric characteristics (i.e., foF2 or hmF2): it is strong for physics‐based models, weaker for IRI, and very weak for MIT empirical model. This latter outcome may provide suggestive input for future improvements.
How to Characterise Pure and Applied Science

ABSTRACT Regarding the dichotomy between applied science and pure science, there are two apparently paradoxical facts. First, they are distinguishable. Second, the outcomes of pure sciences (e.g. scientific theories and models) are applicable to producing the outcomes of applied sciences (e.g. technological artefacts) and vice versa. Addressing the functional roles of applied and pure science, i.e. to produce design representation and science representation, respectively, I propose a new characterisation of the dichotomy that explains these two facts.