Miracle-dz/UniFAR-FTUs huggingface dataset:
On approximation properties of semidirect products of groups

Let R be a class of groups closed under taking semidirect products with finite kernel and fully residually R-groups. We prove that R contains all R-by-{finitely generated residually finite} groups. It follows that a semidirect product of a finitely generated residually finite group with a surjunctive group is surjunctive. This remained unknown even for direct products of a surjunctive group with the integers Z.
(Navigating-Circling-Un/Doing)~Post-Qualitative Inquiry: A Collective Biography

In this collective biography, we follow the question: What does it do to think~post? We navigate~circle~un/do the entanglements of institutional and disciplinary boundaries and researcher identities, increasing striations of post-thinking within qualitative inquiry, teaching practices, ethics, and becoming. Our data include personal journals, crafts and collages, collective writing, dialogues, and images from a conference session where we engaged participants in our thinking. Our memory work enacts post-qualitative becomings, opening space for questioning and reflecting (&&&), undoing and unfolding individual subjectivities, and examining the vulnerabilities, tensions, and possibilities of becoming~post.
Homeschooled Children are as Safe from Caregiver Abuse as Other Children and May Be Generally Safer: A Response to Dills (2022)

After reading Homeschooling and child safety: Are kids safer at home? (Dills, 2022), it was not surprising to find that homeschoolers were as safe from caregiver abuse as students who were under the care of others at school. Even so, some of the author’s conclusions go beyond the data and could lead others to misperceive the findings. the complexities of how child maltreatment is reported, defined, and recorded across states. the and of and the is accurate comparing the rates of child maltreatment before the liberalizing of homeschooling laws to post-liberalization rates, it may be possible to discern a statistically significant connection between the two after controlling for a host of other variables. As summed up in the abstract, Dills found that most of her estimates were not statistically significant. In other words, caregiver maltreatment did not change post-liberalization. important finding. the abstract further stated that “some specifications find a statistically significant increase in child homicide rates in the years following homeschool legislation. ” will likely cap-ture the and because it appears in the many lay will not go further. Dills goes on to say that the estimated effects tend to be small and not statistically significant, suggesting little effect on child safety. These results
The CGILS experimental design to investigate low cloud feedbacks in general circulation models by using single‐column and large‐eddy simulation models

A surrogate climate change is designed to investigate low cloud feedbacks in the northeastern Pacific by using Single Column Models (SCMs), Cloud Resolving Models (CRMs), and Large Eddy Simulation models (LES), as part of the CGILS study (CFMIP‐GASS Intercomparison of LES and SCM models). The constructed large‐scale forcing fields, including subsidence and advective tendencies, and their perturbations in the warmer climate are shown to compare well with conditions in General Circulation Models (GCMs), but they are free from the impact of any GCM parameterizations. The forcing fields in the control climate are also shown to resemble the mean conditions in the ECMWF‐Interim Reanalysis. Applications of the forcing fields in SCMs are presented. It is shown that the idealized design can offer considerable insight into the mechanisms of cloud feedbacks in the models. Caveats and advantages of the design are also discussed.
MOBILITY RESILIENCE OF COMMUTE TRIPS DURING THE COVID-19 PANDEMIC IN SEOUL, KOREA

Abstract. Since early 2020, the number of COVID-19 cases has continued its rise and fall worldwide, greatly impacting sectors such as health outcomes, economics, housing, and transportation. To mitigate the spread of the pandemic, governments implemented various measures to reduce the mobility of the population, restricting international travel, hierarchical lockdowns, stay-at-home mandates, and work-from-home orders. In this aspect, early studies in the transportation field showed large changes in travel behaviour. However, we know less about the long-term impact of COVID-19 on people's travel behaviour. This paper explores the change in commute behaviour during the pandemic, focusing on the resilience index of transit users and its determining factors. The hist gradient boosting model was the most precise when compared with linear and other machine learning models (considering R2, MSE, MAE). The results suggested the following: (1) commuters' trips decreased unevenly in Seoul. Through machine learning algorithms, social-economic factors, and accessibility, 50% of the heterogeneity can be explained. (2) Consumer and Service Industry and Foreigner Tourism were impacted negatively continually. Neighbourhoods with higher car ownership and a higher percentage of female residents show long term weak public transit resilience. (2) Short distance commuters (less than 20 minutes) and commuters visiting city centres, returned to public transport in the second year after avoiding it during the first year of the pandemic. Considering the uneven negative results of COVID-19, this research can be a reference for policy design and effective decision making.
Effective Field Theory Techniques for Resummation in Jet Physics

In this thesis, we present several new techniques for the resummation of observables relevant to jet physics at the LHC using effective field theory techniques. Specifically, we first derive the factorization theorem and calculate the generic soft function for N-jet threshold resummation. This allows for dynamic threshold resummation at hadron colliders, where parton distribution functions may enhance threshold effects. Then we develop a new metric to gauge the importance of threshold resummation in a process-independent manner. This also allows us to determine the relevant scales for threshold resummation without the introduction of an arbitrary procedure. Next, we present a new subtraction technique for the calculation of soft functions with complex phase space boundaries. This technique is especially useful in calculations involving eta-phi jet algorithms, which are common at hadron colliders. Finally, we discuss a new regularization scheme for real emission diagrams and present an example of said scheme.
Coherent Magnetism and Spin-Orbit Interaction in Garnet Films Probed with Femtosecond Magneto-Optical Four Wave Mixing

We report about the dephasing of the spins states in a Garnet film excited by femtosecond laser pulses. It is shown that magneto-optical four-wave-mixing signals are efficiently generated and controlled with an external static magnetic field. The self-diffraction of either two or three femtosecond pulses allows us determining independently the coherent response time ($T_2$ < 50 fs) and the population relaxation, which occurs in several steps. After the laser induced demagnetization, the spin-lattice relaxation is the dominant mechanism ($T_{1,spin-lat}$ < 1.35 ps) and the precession of the magnetization takes place at later times ($T_{1,prec}$ < 150 ps). The coherent response of the spins states is modeled with a multi-level hydrogen-like system, taking into account the fundamental relativistic quantum dynamics of the spins. Our experimental approach is general and opens the way to investigating quantum magnetism in ordered magnetic systems useful for applications in information and communications technologies.
ν generation: Present and future constraints on neutrino masses from global analysis of cosmology and laboratory experiments

We perform a joint analysis of current data from cosmology and laboratory experiments to constrain the neutrino mass parameters in the framework of bayesian statistics, also accounting for uncertainties in nuclear modeling, relevant for neutrinoless double $\beta$ decay ($0\nu2\beta$) searches. We find that a combination of current oscillation, cosmological and $0\nu2\beta$ data constrains $m_{\beta\beta}~<~0.045\,\mathrm{eV}$ ($0.014 \, \mathrm{eV} < m_{\beta\beta} < 0.066 \,\mathrm{eV}$) at 95\% C.L. for normal (inverted) hierarchy. This result is in practice dominated by the cosmological and oscillation data, so it is not affected by uncertainties related to the interpretation of $0\nu2\beta$ data, like nuclear modeling, or the exact particle physics mechanism underlying the process. We then perform forecasts for forthcoming and next-generation experiments, and find that in the case of normal hierarchy, given a total mass of $0.1\,$ eV, and assuming a factor-of-two uncertainty in the modeling of the relevant nuclear matrix elements, it will be possible to measure the total mass itself, the effective Majorana mass and the effective electron mass with an accuracy (at 95\% C.L.) of $0.05$, $0.015$, $0.02\,\mathrm{eV}$ respectively, as well as to be sensitive to one of the Majorana phases. This assumes that neutrinos are Majorana particles and that the mass mechanism gives the dominant contribution to $0\nu2\beta$ decay. We argue that more precise nuclear modeling will be crucial to improve these sensitivities.
Analysis of the Influence of Contaminants on Microhardness Sintered Boron Carbide Samples

This work presents ANOVA and Tukey’s statistic tests that were carried out in Knoop microhardness results of boron carbide sintered samples. Three samples, A, B and C, of different processing conditions were tested and statistical analysis showed that microhardness results are strongly influenced by porosity and chemical composition, mainly due to presence of C(2H) and WB2.5 contaminant phases. Those phases promoted higher densification in A and B samples and it was found that A ≈ B > C is the relation between the microhardness results of the samples, while A ≈ B < C is the porosity ratio of the samples. Furthermore, this work aims to apply a statistical tool to evaluate the microhardness results performed on advanced ceramics and, using these results, to control parameters in the sintering process, showing that a deeper statistical analysis is necessary for the interpretation and validation of the results merit.
An SIR Epidemic Model with Gravity in Patchy Environment: Analyses for Two Patches System

In this study, we propose an explicitly spatial SIR epidemic model under which a population travel is subject to the gravity law. Namely, the migration rates are assumed to be increased with the populations between coupled patches and decreased with the distance. We analyze the model simplified into two patches. The conditions for a stable disease-free equilibrium are derived. Moreover, we show that the derived basic reproduction number corresponds with such conditions. The numerical results shown are in agreement with theory.
Characterization of Molecular Branching Using Topological Indices.

Abstract : Characterizing mathematically the branching present in molecular species has remained a problem which has challenged chemists for decades. The problem involves essentially the derivation of indices of branching which should be unique for a given structure. Although extensive use has been made of a wide variety of graph invariants in this context, no completely satisfactory resolution of the problem can yet be said to have been achieved. Here we survey the current state of the art in the description of molecular branching and review the prospects for future significant advances in the field. (Keywords: Topological indices, Branching, Graph theory.
Control integrated design of active deformation and intrinsic elasticity for morphing waverider

The hypersonic waverider using the morphing configuration can improve the overall performance and broaden the flight range. On the other hand, the hypersonic waverider belongs to the lightweight construction, leading to the presence of the intrinsic elasticity. As a result, the integrated consideration of the active deformation and elastic action is important for the morphing waverider to realize global optimization. In this paper, the contro-integrated design methods are proposed for the morphing waverider to implement the trade-off analysis between the active deformation and intrinsic elasticity. First, the parametric model is built to describe the hypersonic flight characteristics. Then, the elastic dynamics is introduced to quantify the coupling responses associated with the angle of attack and elevon deflection. Furthermore, the integrated design is considered for the active deformation and inherent elastic action, and also the control law is designed to suppress the active and passive morphing disturbances. Finally, the simulation is conducted to test the effectiveness of the presented methods for the morphing waverider.
Chromogranin A and Its Fragments in the Critically Ill: An Expanding Domain of Interest for Better Care

Life-threatening diseases challenge immunity with a release of chromogranins. This report focuses on Chromogranin A (CGA) and some of its derived peptides in critically ill patients, with attention paid to their potential to become biomarkers of severity and actors of defense. First, we studied whether circulating CGA may be a biomarker of outcome in non-selected critically ill patients: CGA concentrations were reliably associated with short-term death, systemic inflammation, and multiple organ failure. Additionally, when studying Vasostatin-I, the major N-terminal fragment of CGA, we noted its reliable prognostic value as early as admission if associated with age and lactate. In trauma patients, CGA concentrations heralded the occurrence of care-related infections. This was associated with an in vitro inhibitor impact of Chromofungin on both NF-kappa B- and API-transcriptional activities. Secondly, in life-threatening disease-induced oxidative stress, the multimerization of Vasostatin-I occurs with the loss of its anti-microbial properties ex vivo. In vivo, a 4%-concentration of non-oxidized albumin infusion reversed multimerization with a decrease in care-related infections. Finally, in vitro Catestatin impacted the polymorphonuclear cells-Ca++-dependent, calmodulin–regulated iPLA2 pathway by releasing immunity-related proteins. Furthermore, human Cateslytin, the active domain of Catestatin, helped destroy S. aureus: this prompted the creation of synthetic D-stereoisomer of CGA-derived peptides against superbugs for the protection of implanted devices. In conclusion, CGA consideration in the critically ill is only starting, but it offers interesting perspectives for improved outcomes.
The Value of GeneXpert MTB/RIF for Detection in Tuberculosis: A Bibliometrics-Based Analysis and Review

With the continuous development of medical science and technology, especially with the advent of the era of precision diagnosis and treatment, molecular biology detection technology is widely valued and applied as an aid to early diagnosis of tuberculosis. The GeneXpert Mycobacterium tuberculosis Branching (MTB) technology is a suite of semi-nested real-time fluorescent quantitative PCR in vitro diagnostic technologies developed by Cepheid Inc. It targets the rifampicin resistance gene, rpoB, and can detect both MTB and resistance to rifampicin within 2 h. This review analyzed the papers related to GeneXpert using bibliometric software CiteSpace and Bibliometrix. A total of 151 articles were analyzed, spanning from 2011 to 2021. This bibliometrics-based review summarizes the history of the development of GeneXpert in tuberculosis diagnosis and its current status. Contributions of different countries to the topic, journal analysis, key paper analysis, and clustering of keywords were used to analyze this topic.
Classifying buildings post hurricane with contrast enhancement

In the aftermath of a hurricane, damage assessment is critical for relief helpers. One way to measure damage is to detect and quantify the number of damaged structures, usually by driving around the affected area and noting them down manually. This process can be labor-intensive and time-consuming and is not the most efficient method. Therefore, in this paper, we choose to apply image classification to improve the efficiency of assessing damaged building. From the public satellite imagery data of building, we extract square-sized images and create training, validation, test, and unbalanced test datasets. Each square-sized image contains a building to be classified as either ‘damage’ or ' no damage’. We use the existing convolutional neural network model to classify the datasets, and then use the results to modify our algorithm to achieve better programs. We apply our final model to the dataset that is satellite image from Texas after Hurricane Harvey with 99% accuracy to demonstrate the efficiency of assessing damaged buildings.
You Must Touch It: Touchscreen Hygiene and the Sin of the Smudge

This article examines how people have constructed touchscreen smudges, those oily marks left behind by users’ fingers on shiny glass, as a form of ‘mess’. It offers an historical account of smudges between 2007 and 2010, when users, corporations, journalists, third-party accessory manufacturers and others began to first frame smudges as a problem for mobile media due to users’ constant touching and the evidence of their finger trails which functioned as a kind of ‘visible tactility’. Solutions took the form of engineering special screen coatings or cultivating responsible users who would maintain their devices through cleaning and caretaking practices. In both these cases, smudges were denigrated not for degrading media content or breaking the device’s functionality, but rather for violating high-tech aesthetics and drawing attention to porous, tactile and germ-riddled bodies. The piece, bringing together this case with the present, encourages scholars to attend to the ways that users are entreated to tame and groom both their bodies and their media devices in particular socio-historical contexts.
Accelerated Electrons and the Unruh Effect

Quantum effects for electrons in a storage ring are studied in a co-moving, accelerated frame. The polarization effect due to spin flip synchrotron radiation is examined by treating the electron as a simple quantum mechanical two-level system coupled to the orbital motion and to the radiation field. The excitations of the spin system are related to the Unruh effect, i.e. the effect that an accelerated radiation detector is thermally excited by vacuum fluctuations. The importance of orbital fluctuations is pointed out and the vertical fluctuations are examined.
Adaptive capacity to climate change and food security among farm households in Southwest Nigeria

Smallholder farming households represent one of groups most exposed to the vagaries of climate change because their production and livelihood depend on climatic elements. This study assessed the effect of climate change adaptive capacity on smallholder farming households' food security in Oyo State, Nigeria. Data from 246 farming households were analysed using factor analysis to generate the Climate Change Adaptive Capacity Index (CCACI), Foster-Greer-Thorbecke Indices and Logit Regression. The most adopted adaptation strategies were intercropping, fallowing, fertilizer application, and crop rotation. Most of the households had moderate or high adaptive capacity to climate change. Econometric results show that farm households with low climate change adaptive capacity have a greater likelihood of being food insecure relative to farm households with moderate and high climate change adaptive capacity. These findings emphasize the need to enhance smallholder farmers' capacity to mitigate the adverse effect of climate change on national food security.
Abundant Bounded and Unbounded Solitary, Periodic, Rogue-Type Wave Solutions and Analysis of Parametric Effect on the Solutions to Nonlinear Klein-Gordon Model

This paper exploits the modified simple equation and dynamical system schemes to integrate the Klein–Gordon (KG) model amid quadratic nonlinearity arising in nonlinear optics, quantum theories, and solid state physics. By implementing the modified simple equation (MSE) technique, we develop some disguise adaptation of analytical solutions in terms of hyperbolic, exponential, and trigonometric functions with some special parameters. We apply the dynamical system to bifurcate the model and draw distinct phase portraits on unlike parametric constraints. Following each orbit of all phase portraits, we originate bounded and unbounded solitary, periodic, and periodic rogue-type wave solutions of the KG model. These two schemes extract widespread classes of solitary, periodic, and periodic rogue-type wave solutions for the KG model jointly due to restrictions on parameters. We also analyze the effect of parameters on the obtained wave solutions and discuss why and when it changes its nature. We illustrate some dynamical features of the acquired solutions via the 3D, 2D, and contour graphics.
Studying the effect of high-viscosity material properties on print quality using laser-induced forward transfer

Abstract. A laser-induced forward transfer method that allows ejecting high-viscosity inks at a bubble ring pressure is presented. In this study, we clarify the transmittance and viscosity properties of donor materials that significantly affect the print quality. A nanosecond laser with a wavelength of 532 nm irradiates the donor in a ring shape. The relationship between the donor viscosity and print quality is analyzed, and optimal fluence is highly correlated with donor viscosity at a shear stress of 1000 Pa. A donor layer with a transmittance of 10% or less exhibits good droplet quality. When the transmittance of the donor layer is higher, backside fluence (BsF) will increase, resulting in mist and satellites. The BsF indicates that it is an important parameter for achieving droplet quality. These findings suggest that it is possible to develop a printing system using high-viscosity inks.
Functional Characterization and Synthetic Application of Is2-SDR, a Novel Thermostable and Promiscuous Ketoreductase from a Hot Spring Metagenome

In a metagenome mining-based search of novel thermostable hydroxysteroid dehydrogenases (HSDHs), enzymes that are able to selectively oxidize/reduce steroidal compounds, a novel short-chain dehydrogenase/reductase (SDR), named Is2-SDR, was recently discovered. This enzyme, found in an Icelandic hot spring metagenome, shared a high sequence similarity with HSDHs, but, unexpectedly, showed no activity in the oxidation of the tested steroid substrates, e.g., cholic acid. Despite that, Is2-SDR proved to be a very active and versatile ketoreductase, being able to regio- and stereoselectively reduce a diversified panel of carbonylic substrates, including bulky ketones, α- and β-ketoesters, and α-diketones of pharmaceutical relevance. Further investigations showed that Is2-SDR was indeed active in the regio- and stereoselective reduction of oxidized steroid derivatives, and this outcome was rationalized by docking analysis in the active site model. Moreover, Is2-SDR showed remarkable thermostability, with an apparent melting temperature (TM) around 75 °C, as determined by circular dichroism analysis, and no significant decrease in catalytic activity, even after 5 h at 80 °C. A broad tolerance to both water-miscible and water-immiscible organic solvents was demonstrated as well, thus, confirming the potential of this new biocatalyst for its synthetic application.