Miracle-dz/UniFAR-FTUs huggingface dataset:
Queers with Guns? Against the LGBT Grain

Sociological literature on gun ownership in the United States has primarily centered on white, heterosexual, cisgender men and vulnerability to violence. However, many gun owners do not fit this profile. In this article, I begin to fill this gap by focusing on one group—lesbian, gay, bisexual, transgender, and queer (LGBTQ) people—and answer the question: How does the status of being a vulnerable gender and/or sexual minority shape LGBTQ gun owners’ perspectives on gun ownership? To do so, I focus on gun literature, LGBTQ lives, and questions of vulnerability, and draw on in-depth interviews with 30 LGBTQ gun owners from across the United States. In this study, LGBTQ gun owners highlight two major themes. First, they discuss how their gender expression/sexuality creates possibilities for violence. Second, they relate minority oppression with the violent uprisings that created the LGBT movement. As such, these LGBTQ gun owners go against the LGBT movement’s discourse of pro-gun control and structural change.
Synthesis of Uniform NaLnF4 (Ln: Sm to Ho) Nanoparticles for Mass Cytometry

Over the past decade, there have been extensive developments in the field of lanthanide-based nanoparticles (NPs). Most studies have focused on the application of upconverting NaYF4-based NPs for deep tissue imaging and paramagnetic NaGdF4 NPs for MRI. Current applications for the remaining members of the lanthanide series are rather limited. Recently, a novel bioanalytical technique known as mass cytometry (MC) has been developed which can benefit from the entire lanthanide series of NPs. MC is a high-throughput multiparametric cell-by-cell analysis technique based on atomic mass spectrometry that uses antibodies labeled with metal isotopes for biomarker detection. NaLnF4 NPs offer the promise of high sensitivity coupled with multiparameter detection, provided that NPs can be synthesized with a narrow size distribution. Here we describe the synthesis of six members of this NP family (NaSmF4, NaEuF4, NaGdF4, NaTbF4, NaDyF4, NaHoF4) with the appropriate size (5–30 nm) and size distribution (CV < 5%) for MC.
Analysis of Network Reliability Characteristics and Importance of Components in a Communication Network

Network reliability is one of the most important concepts in this modern era. Reliability characteristics, component significance measures, such as the Birnbaum importance measure, critical importance measure, the risk growth factor and average risk growth factor, and network reliability stability of the communication network system have been discussed in this paper to identify the critical components in the network, and also to quantify the impact of component failures. The study also proposes an efficient algorithm to compute the reliability indices of the network. The authors explore how the universal generating function can work to solve the problems related to the network using the exponentially distributed failure rate. To illustrate the proposed algorithm, a numerical example has been taken.
Protecting Victims of Bullying: The Protective Roles Self-Esteem and Self-Forgiveness Play between past Victimization and Current Depressive Symptoms

ABSTRACT Prior research has linked victimization to mental health outcomes, but more work is needed to understand factors that may serve a protective role. In the present study, in a sample of 290 undergraduates who had experienced bullying, we examined a moderated-mediator model in which self-esteem mediates the relationship between victimization and depressive symptoms later in life. We hypothesized that this direct path would be weaker at higher levels of self-forgiveness. We discuss implications for future research and practice.
Inferência Automática de Nível Calórico de Receitas Culinárias Através de Técnicas de Aprendizagem de Máquina

In this work, a tool for the automatic inference of calorie content in cooking recipes is proposed, through a Text Classification approach. This tool will be part of a Recommendation System under development, to assist health professionals and users in general to elaborate healthy diets. Resumo. Neste trabalho, uma ferramenta para inferência automática do nı́vel calórico de receitas culinárias é proposta, através de uma abordagem de Classificação de Textos. A ferramenta fará parte de um Sistema de Recomendação em desenvolvimento, para o auxı́lio a profissionais de saúde e usuários em geral na elaboração de dietas saudáveis.
The impact of the mortality of international migrants on estimates and comparisons of national life expectancy: A comparative study of four Nordic nations

Period life expectancy at birth (PLE0) is defined as how long – on average – a newborn baby could expect to live if current mortality rates do not change. It is one of the most widely used population health indicators in the world by academics, governments, statistical agencies, and international organisations. Yet, while estimates of PLE0 routinely factor immigrations and emigrations into population denominators and migrant residents form part of these population denominators, the effect of the unique mortality of international migrants on national PLE0 has almost never been studied. Here, our aim is to understand whether estimates and comparisons of national PLE0 in four Nordic nations – Denmark, Finland, Norway, and Sweden – are being affected by the mortality of their international migrant populations. We use register data for over three decades, from 1990 to 2019. We calculate PLE0 by sex for entire resident, native-born, and migrant populations, as well as the differences between them. Our analysis reveals a dynamic and increasing impact of the mortality of international migrants on national PLE0 that is already beginning to affect inter-country comparisons and rankings of mortality. Our unique findings should resonate strongly in all nations with substantial shares of international migrants and all of the aforementioned stakeholders that use PLE0 to drive and inform public health policy.
A Rapid Numerical Method to Constrain 2D Focused Fluid Flow Rates Along Convergent Margins Using Dense BSR‐Based Temperature Field Data

Estimates of the sub‐seabed fluid flow rates are important for understanding hydrological budgets, biogeochemical cycles, and physical properties of the sediments. Fluid flow rates and directions, however, are difficult to measure, particularly beneath the seafloor. We developed a rapid method to estimate regional fluid migration rates using an extensive database of seismic reflection profiles taken offshore SW Taiwan. We observe bottom‐simulating reflector (BSR) that deflects toward the seafloor near thrust faults that indicate localized heat flow variations. At these sites, advecting warm pore fluids transport heat to shallower depths and force the BSR shallower. Our 2D steady‐state numerical method quantifies the fluid flow rates required to cause such thermal anomalies. We found that fluid flow rates near the trench of the accretionary wedge range between 0.1 and 16 m3 yr−1 m−1, with slower and faster rates generally associated with slope basin discontinuities and faults, respectively. To evaluate the fluid pattern evolution from subduction to collision, we studied three transects: one along the Manila subduction zone in the south and two in Taiwan's initial collision zone in the north. We quantified the fluid budget and partitioning of fluid flow between focused discharge through faults and diffusive flow through the wedge. Faults in Taiwan's accretionary wedge capture on average 25% of the total dewatering flux in the younger subduction zone and 38.5% in the tectonically mature collision zone. Our method provides estimates of fluid migration rates along convergent plate boundaries, and contributes to our understanding of focused fluid flow processes in many other regions.
Energy Budget Constraints on the Time History of Aerosol Forcing and Climate Sensitivity

An observationally constrained time series of historical aerosol effective radiative forcing (ERF) from 1750 to 2019 is developed in this study. We find that the time history of aerosol ERFs diagnosed in CMIP6 models exhibits considerable variation and explore how the time history of aerosol forcing influences the probability distributions of present‐day aerosol forcing and emergent metrics such as climate sensitivity. Using a simple energy balance model, trained on CMIP6 climate models and constrained by observed near‐surface warming and ocean heat uptake, we derive estimates for the historical aerosol forcing. We find 2005–2014 mean aerosol ERF to be −1.1 (−1.8 to −0.5) W m−2 relative to 1750. Assuming recently published historical emissions from fossil fuel and industrial sectors and biomass burning emissions from SSP2‐4.5, aerosol ERF in 2019 is −0.9 (−1.5 to −0.4) W m−2. There is a modest recovery in aerosol forcing (+0.025 W m−2 decade−1) between 1980 and 2014. This analysis also gives a 5%–95% range of equilibrium climate sensitivity of 1.8°C –5.1°C (best estimate 3.1°C) with a transient climate response of 1.2°C –2.6°C (best estimate 1.8°C).
Study on Deformation and Stability of Rock-Like Materials Retaining Structure during Collaborative Construction of Super-Adjacent Underground Project

The collaborative construction of undercrossing tunneling of Gongchang Road and the adjacent Metro Line 6 extension station section in Shenzhen is difficult and of high risk. In view of these characteristics, this paper studied the deformation and stability of rock-like material retaining structures in the process of underground engineering collaboration by combining the measured deformation data and the circular slide theory based on the limit equilibrium method. The results show that due to the difference between the supporting systems of rock-like materials on both sides and other reasons, the upper part of the retaining structure and the limited soil in the adjacent area tilt greatly to one side at the same time, and the surface settlement in the limited soil area also increases with the increase of the excavation depth of the foundation pit. On the basis of measured deformation data analysis, the mechanical model for calculating the stability concerning the relationship between the adjacent distance L of the deep foundation pit and the vertical distance between the lowest support of the foundation pit and the bottom of retaining structures was established. Then, the calculation formula for the against basal heave stability covering different adjacent degrees was established. Besides, the applicability of the calculation method was verified by combining it with the actual engineering and related prediction theories, which further proves that the research results have certain theoretical value and engineering significance, and can provide a reference for the rock-like material retaining structures design and stability analysis of similar projects.
Awakening a taxonomist's third eye: exploring the utility of computer vision and deep learning in insect systematics

Andrew Ng, co-founder of Coursera, founder of Google Brain and former Baidu Chief Scientist, has argued that artificial intelligence (AI) is ‘the new electricity’ (Ng, 2016). In the early 20th century, electrification transformed transportation, agriculture and manufacturing, permanently changing human societies. A century later, we can see how AI is starting to have a similar, revolutionary impact on a range of societal sectors, from finance to the automotive industry. AI is used everywhere: from product-recommendation systems to search engines and virtual voice assistants. In fact, we encounter AI on a daily basis, often without even realizing it. Everyone knows that self-driving cars are powered by AI, but it is less commonly acknowledged that manual operation of a vehicle now typically relies on AI-powered navigation, path optimization and travel time estimation. The AI revolution is generating interest in a wide range of fields, and systematic entomology is not an exception. An important reason for the current AI hype is the recent progress in computer vision made possible by the development of convolutional neural networks (CNNs) that learn complex tasks from very large training sets, that is, through deep learning. Deep learning of complex visual tasks by CNNs would not have been possible without significant recent improvements in learning algorithms, easy access to big data (>80% of the data on the web is visual, consisting of videos or images), and the availability of cheap and fast computation (particularly the development of graphical processing power driven by the gaming industry). Given enough training data, CNNs can learn on their own which features to use to discriminate between different categories of images (often referred to as image classification). Even more astonishing, once these features are learned for one task, the CNN can use its feature-recognition skills in tackling a new but related task, thus eliminating the need to train a dedicated CNN from scratch for every new
Concerns Among The HIV-Positive Asians: A Data-Mining Analysis In Gender Comparison

BackgroundAsians are “a forgotten population” whose HIV prevention and treatment needs have long been ignored. Studies on people living with HIV/AIDS have primarily reported on physical and psychological conditions among men and gender minorities. In this study, we used data-mine to select words and word patterns from 45 in-depth interviews with HIV-positive Asian men and women in San Francisco, Shanghai, Beijing, and Taipei and included 33 HIV-positive women and 12 HIV-positive men.ResultAmong these 33 HIV-positive women, all of them contract HIV through heterosexual behavior. For those HIV-positive men, all of them contact HIV via male-to-male sexual contact. We also specifically analyzed gender-based data (male vs. female) within the responses, since men and women experience HIV differently. For women, family relationships and financial burdens were discussed most often. For men, disclosure was the key concern, especially their sexual preference and followed by concerns over what people were saying about them in the community.ConclusionFuture interventions should consider how gender role influences self-management strategies and should suggest how support can be targeted to achieve a better quality of life for HIV-positive individuals.
High accuracy p-rho-t measurements up to 200 MPa between 200 K and 500 K using a compact single sinker magnetic suspension densimeter for pure and natural gas like mixtures

High Accuracy P-ρ-T Measurements up to 200 MPa between 200 K and 500 K Using a Compact Single Sinker Magnetic Suspension Densimeter for Pure and Natural Gas Like Mixtures. (August 2007) Mert Atilhan, B.S., Ege University, Izmir, Turkey; M.S., Texas A&M University Chair of Advisory Committee: Dr. Kenneth R. Hall Highly accurate density data is required for engineering calculations to make property estimations in natural gas custody transfer through pipelines. It is also essential to have accurate pressure-volume-temperature (PVT) data for developing equations of state (EOS). A highly accurate, high pressure and temperature, compact single sinker magnetic suspension densimeter has been used for density measurements. First, the densimeter is calibrated against pure component densities for which very reliable data are available. After validating its performance, the densities of four light natural gas mixtures that do not contain components heavier than hexane and two heavy gas mixtures containing hexane and heavier components having fractions more than 0.2 mole percent were measured. The light mixtures were measured in the temperature range of 250 to 450 K and in the pressure range of 10 to 150 MPa (1450 to 21,750 psi); the heavy mixtures were measured in the range of 270 to 340 K and in the pressure range of 3 to 35 MPa (500 to 5,000 psi). Out of those, the data for only four light natural gas mixtures have been presented in the dissertation due to confidentiality agreements that are still in force. A force transmission error and uncertainty analysis was carried out. The total uncertainty was calculated to be 0.11%. Data calculated in this work is compared with the current industry standard EOS for natural gas systems (AGA8-DC92 EOS) and GERG EOS, which is the most recently developed EOS for natural gas systems. The data measured as a part of this research should be used as reference quality data, either to modify the parameters of AGA8-DC92 EOS and GERG EOS or to develop a more reliable equation of state with wider ranges of pressure and temperature.
Oral Administration of Lactobacillus Acidophilus Restores Nitric Oxide Level in Diabetic Rats

Nitric oxide (NO) is an important regulator of many phys io logical and pathophys iological processes . Excess ive formation of reactive oxygen metabolites (ROMs) is respons ib le for dis ruption o f No in diabetic. The objectives of this work was to formulate Lactobacillus acidophilus (LA ) in a gas tric res is tance formu lation and to inves tigate the effect of adminis tration of LA alone or in combination with acarbose (AC) on plasma NO level and some oxidative s tress parameters in diabetic rats . Granules containing LA with and without A C have been prepared us ing Eudragit L 100 as drug release retarding polymer. Colony forming unit (CFU) has been done after the granulation process and after placing in acidic medium to assure the viability of the LA. The rats were divided into control, diabetic, diabe t ic received AC, diabetic received LA and diabetics received AC plus LA groups . Fas ting blood sugar (FBS), glycosylated hemoglobin (Hb A 1c % ), triacylglycerol (TAG) level, Aryles terase (ARE) activity of pa raoxonase enzyme, malondialdehyde (MDA) and plasma nitrate were measured. The results obtained from this s tudy revealed that treatment with LA alone or in combination with AC significantly decrease the elevated FBS level, HbA1c %, plasma TAG and MDA compared to diabetic rats . The same treatment elevated t he ARE activity compared to that of diabetic group. Adminis tration of LA alone or with AC showed a s ignificant elevation in p la s ma nitrate level compared wit h t h a t o f d iabetic group. Finally we concluded that, LA and AC supplementation exert hypoglycemic, hypotriglyceridemic and antioxidant effects . These effects are respons ible for res toration of NO level.
Distribution of dust properties around carbon rich AGB star: IRAS 04427+4951 using  IRIS and  AKARI survey 

Interstellar dust properties using far-infrared bands analyze nature around asymptotic giant branch stars and stellar objects. Here, we present physical properties around the cavity region across an AGB star named IRAS 04427+4951 Sky View Observatory of IRIS, AKARI map, SIMBAD, Aladin v2.5, and Gaia Archive. The average color temperature and mass are 23.48 ± 0.009 K, 3.55×1027 kg (1.79× 10-3 Mʘ ) in IRIS data and 14.89 ± 0.004 K and 5.34×1028 kg (2.69 × 10-2 Mʘ ) from AKARI data. The size of isolated cavity-like structure around the AGB stars of 45.67 pc × 17.02 pc and 42.25 pc × 17.76 pc, respectively. The visual extinction is to be in the range of 3.2×10-4 to 4.3×10-4 mag in and 4.5 × 10-3 to 7.4×10-3 mag. The inclination angle is 86.150 and 93.920. The method and results we present developed can for the study of astrochemistry of interstellar medium. BIBECHANA 18 (2) (2021) 154-163
Mutation E48K in PB1 Polymerase Subunit Improves Stability of a Candidate Live Attenuated Influenza B Virus Vaccine

Influenza B virus (IBV) is a major respiratory pathogen of humans, particularly in the elderly and children, and vaccines are the most effective way to control it. In previous work, incorporation of two mutations (E580G, S660A) along with the addition of an HA epitope tag in the PB1 segment of B/Brisbane/60/2008 (B/Bris) resulted in an attenuated strain that was safe and effective as a live attenuated vaccine. A third attempted mutation (K391E) in PB1 was not always stable. Interestingly, viruses that maintained the K391E mutation were associated with the mutation E48K. To explore the contribution of the E48K mutation to stability of the K391E mutation, a vaccine candidate was generated by inserting both mutations, along with attenuating mutations E580G and S660A, in PB1 of B/Bris (B/Bris PB1att 4M). Serial passages of the B/Bris PB1att 4M vaccine candidate in eggs and MDCK indicated high stability. In silico structural analysis revealed a potential interaction between amino acids at positions 48 and 391. In mice, B/Bris PB1att 4M was safe and provided complete protection against homologous challenge. These results confirm the compensatory effect of mutation E48K to stabilize the K391E mutation, resulting in a safer, yet still protective, IBV LAIV vaccine.
Caso de ensino: Vamos Quintanear? O encontro das crianças com o Poeta Passarinho

O artigo apresenta a narrativa em forma de caso de ensino sobre a prática leitora de uma professora com crianças do Ensino Fundamental, a partir da poética de Mário Quintana. O trabalho realizado considera a contribuição da literatura na tarefa de ajudar a criança a dar um novo sentido ao mundo por meio das palavras, e, sobretudo, possibilita a experiência estética e lúdica com a linguagem promovendo laços de afeto com a leitura. O objetivo é o de provocar os professores à reflexão a partir do caso de ensino que traz a possibilidade de uma prática leitora significativa e desafiadora, em que o texto literário é um aliado do professor no cotidiano da sala de aula. Adotados como estratégia investigativa e formativa, os casos de ensino e métodos de casos apresentam inúmeras possibilidades, entre elas o potencial formativo para o desenvolvimento profissional de professores a partir de uma narrativa que evidencia a prática potente de uma professora, capaz de promover experiências intensas mediadas por espaços de escuta sensível e diálogos com a obra de Mário Quintana. O caso de ensino concentra possibilidades de ensinar e aprender em processo de alteridade e alternância ao propiciar ao leitor da narrativa colocar-se no lugar de protagonista e com ele partilhar sua prática em um ethos de pertença.
Design and implementation of decoupled periodic control scheme for a laboratory-based quadruple-tank process

It is well known that linear time-invariant controllers fail to provide desired robustness margins (e.g. gain margin, phase margin) for plants with non-minimum phase zeros. Attempts have been made in literature to alleviate this problem using high-frequency periodic controllers. But because of high frequency in nature, real-time implementation of these controllers is very challenging. In fact, no practical applications of such controllers for multivariable plants have been reported in literature till date. This article considers a laboratory-based, two-input–two-output, quadruple-tank process with a non-minimum phase zero for real-time implementation of the above periodic controller. To design the controller, first, a minimal pre-compensator is used to decouple the plant in open loop. Then the resulting single-input–single-output units are compensated using periodic controllers. It is shown through simulations and real-time experiments that owing to arbitrary loop-zero placement capability of periodic controllers, the above decoupled periodic control scheme provides much improved robustness against multi-channel output gain variations as compared to its linear time-invariant counterpart. It is also shown that in spite of this improved robustness, the nominal performances such as tracking and disturbance attenuation remain almost the same. A comparison with H ∞ -linear time-invariant controllers is also carried out to show superiority of the proposed scheme.