Miracle-dz/UniFAR-FTUs huggingface dataset:
Di­cyclo­hexyl­ammonium benzene­thiol­ate

The title compound, C12H24N+·C6H5S−, has been obtained by the reaction of C6H5SH with di­cyclo­hexyl­amine. The two ionic fragments are linked together in long chains by ⋯N—H⋯S⋯ hydrogen bonds. There are two formula units in the asymmetric unit.
Magnesium isoglycyrrhizinate positively affects concanavalin A-induced liver damage by regulating macrophage polarization

ABSTRACT The deficient functional polarization of macrophages is implicated in the disease progression of autoimmune hepatitis (AIH). This study aims to evaluate the impact of Magnesium isoglycyrrhizinate (MgIG) on concanavalin A (Con A)-induced hepatitis in a mouse model, thereby clarifying the molecular mechanisms with which it is associated. MgIG was periodically administered to C57BL/6 mice before one intravenous injection of Con A (20 mg/kg). The MgIG treatment demonstrated a protective function in mice for Con A-induced AIH, the expression of proinflammatory cytokines, and the serum levels of alanine aminotransferase and aspartate aminotransferase. In addition, the MgIG pre-treatment had a significant effect on the number of F4/80+ cells entering the liver. MgIG efficiently facilitated macrophage polarization toward an M2 phenotype. The results indicate that a relationship may exist between the protective impacts of MgIG with respect to Con A-induced liver injury and the capability of the hepatoprotective agent to regulate macrophage polarization.
Physical Dispersions of Meteor Showers Through High Precision Optical Observations

Meteoroids ejected from comets form meteoroid streams which disperse over time due to gravitational perturbations and non-gravitational forces. When stream meteoroids collide with the Earth’s atmosphere, they are visible as meteors emanating from a common point-like area (radiant) in the sky. Measuring the size of meteor shower radiant areas can provide insight into stream formation and age. The tight radiant dispersion of young streams are difficult to determine due to measurement error, but if successfully measured, the dispersion could be used to constrain meteoroid ejection velocities from their parent comets. The estimated ejection velocity is an uncertain, model-dependent value with significant influence on the prediction accuracy of meteor shower models which are operationally used by space agencies to mitigate the meteoroid impact risk. The first part of this work consists of a theoretical investigation of achievable meteor radiant and velocity measurement accuracy using optical observation systems. From dynamical meteoroid stream modelling it has been estimated that a minimum radiant measurement accuracy of 0.1° is needed to begin to resolve the radiant structure of young meteor showers. Using a novel meteor trajectory simulator, it was found that this accuracy can be achieved using narrow field of view optical systems and a newly developed method of meteor trajectory estimation. The measurement accuracy of pre-atmosphere meteoroid velocities remains model-dependent because meteoroids may decelerate up to 750 m s−1 prior to becoming visible. The second part of the work was observational and done using the Canadian Automated Meteor Observatory (CAMO). Four Electron Multiplying CCD cameras were used to observe the 2018 outburst of the Draconid meteor shower which had a radiant dispersion of 0.25°, consistent with simulations and previous high-precision measurements. A mass index of s = 1.74 ± 0.18 during the peak was estimated using a novel method. The CAMO mir-
Understanding the Barriers and Enablers to Sporting Activity in Relation to Bone Health: A Qualitative Narrative Study among Adolescents andYoung Adults in New Zealand

Background: Sports participation may be considered a method of reducing the risk of fragility fracture in later life by maximizing Peak Bone Mass (PBM) in the growing years. However, sports participation typically declines during late adolescence and adulthood. This qualitative study aims to identify barriers and facilitators to engaging with regular weight bearing sporting activity in adolescents and young adults in New Zealand. Methods: 44 adolescents and young adults aged 17 to 33 participated in nine focus groups. The study was conducted using a semi-structured approach with open-ended questions and prompts. Transcripts were thematically coded using an inductive content analysis approach. Results: The three main barriers to sports participation that emerged were a) structural (disorientation in a new living environment, facilities, access to healthcare), b) social (financial and time constraints) and c) personal (social pressures and lack of an understanding of why sporting activity matters for bone health) while enablers of sports participation included a) supportive environments, b) access to health checks including support to avoid injury and c) education to better understand benefits of recreational sporting activity. Conclusions: Current awareness of osteoporosis and lifestyle factors that impact PBM is limited. Educational interventions are now warranted and urgently required.
Prevalence and Clustering Patterns of Pro-Environmental Behaviors among Canadian Households in the Era of Climate Change

This study examined the prevalence and clustering patterns of pro-environmental behaviors that are conducive to socially and environmentally sustainable living among Canadians. Cross-sectional data from the 2015 Households and the Environment Survey (HES) were used. Prevalence was calculated by province and each pro-environmental behavior. Observed/expected prevalence ratios were computed to assess clustering patterns and logistic regression analyses were performed to examine the pairwise associations. Among 8816 Canadian households, prevalence of engaging in pro-environmental behaviors ranked as the following: engaging in green consumer behavior (88%), composting food/yard waste (84%), being active outdoors (82%), gardening (72%), and recycling electronics (45%). While only 14% engaged in ≤2 pro-environmental behaviors, 25.1% of Canadians engaged in all pro-environmental behaviors. By province, British Columbia was the greenest province (81%), followed by Ontario (77%) and Nova Scotia (76.9%) while the least green provinces were Newfoundland and Labrador (62.9%), Saskatchewan (69.2%), and New Brunswick (68%). The most apparent clustering of behaviors was found between recycling electronics and gardening (Observed/Expected: 3.65, 95% CI: 1.98–5.32). Pairwise associations between any two pro-environmental behaviors were statistically significant for all possible combinations (Odds ratios ranged 1.23–2.24). Prevalence of engaging in different sets of pro-environmental behaviors varied greatly by province. Sub-optimal clustering of pro-environmental behaviors and varying pairwise synergetic associations were observed in Canadian households. To promote more holistic, sustainable lifestyles and create sociocultural environments that are conducive to the environment in the era of climate change, future work should investigate barriers and opportunities in adopting more pro-environmental behaviors in Canadian households.
Pathology of giant lipoma in a non-descript dog: A case report

A nine years old non-descript male dog was presented to Veterinary Clinical Complex, Namakkal with the history of progressively growing mass at the neck region. On clinical examination, a large firm mass with irregular surface was noticed in the right prescapular region of the animal. Fine needle aspiration cytology (FNAC) exhibited that there were large number of lipid globules along with adipocytes with eccentrically placed flat nuclei. The tumour mass was excised surgically and weighed around 3.16 kilograms. There were yellow, soft, lobulated masses with oily surface noticed on incision. Histopathological examination revealed the mature adipocytes with eccentrically placed nuclei without mitotic figures. The case was confirmed as lipoma based on cytology, gross and histopathological examination.
BAAT Guidelines on Art Therapy for people with a psychosis-related diagnosis

This document is in three parts. Part 1 presents the guidelines on key art therapy practices for people with a psychosis-related diagnosis. There are 10 broad areas of practice, summarised very briefly on the next page. Art therapists’ core practice is adapting to individuals in context, within these broad principles. In Part 1 we illustrate these principles with examples. Comments from service user consultation are included.Part 2 explains how we developed these guidelines. Part 3 describes how we understand psychosis. Both Parts 2 and 3 make reference to the research evidence and theory upon which these guidelines are based. The reference list is attached to Part 3.
Personalized marketing communication in context : Studying the perspectives of consumers, industry and regulators

Today, advertisers have access to a wide range of data about consumers that they can use to adapt the content and distribution of marketing communication to personal characteristics, interests and behaviors of individuals. This phenomenon, called personalized marketing communication (PMC), has transformed the traditional advertising into so-called personalization landscape. This landscape is inhabited by three main actors: consumers, the industry, and the regulators. So far, academic research on PMC has strongly focused on the perspective of consumers. A broader investigation that would consider the all three perspectives and would allow to fully describe the phenomenon is missing. Therefore, the aim of this dissertation was to bring together the perspectives of the three actors in order to draw a more nuanced picture of the utility and impact of PMC on consumers and the industry, as well as to scrutinize the role of the law in this “personalization landscape”. Results show that PMC strongly influenced by two factors: technological progress, and privacy and ethical considerations. With respect to the personalization landscape, consumers are at the center of it as they “produce” data necessary for PMC as well as are the recipient of the personalized messages and are protected by privacy laws. At the same time, they feel resigned and frustrated, which undermines the potential of rights guaranteed by the regulator. In this situation, the industry is the most powerful player in the personalization landscape. All in all, this dissertation provides important multiperspective insights into the personalization landscape.
Application of The Global Reporting Indicators to Build Environmental Accounting Reports of Vietnamese Enterprises in The Economic Integration Period

In recent years, the environment has become a global issue. The change in general awareness on corporate social responsibility awareness regarding environmental issues has put business accounting in businesses against challenges: how can accounting activities be performed on environmental factors? not only through the recording and reporting of financial information, but also to demonstrate the role of accountants as an effective tool for managers to administrate environmental issues within each economic unit. Environmental accounting has been worldly recognized as an effective solution to help businesses achieve sustainable business operations, which means both achieving economic benefits and protecting the environment. However, the practice of understanding and gradually applying environmental accounting in Vietnamese enterprises is still limited. This article studies the theory, firstly assessing the existence of traditional accounting system relating to environmental protection. Based on the guiding indicator system in the global reporting initiative (GRI) to propose sustainable development accounting reporting criteria applicable to countries. Building a complete indicator system will be the basis for the foundation of an appropriate accounting system for countries as well as Vietnam in the process of applying this new accounting department.
Correcting for differential recruitment in respondent-driven sampling data using ego-network information

: Respondent-Driven sampling (RDS) is a sampling method de- vised to overcome challenges with sampling hard-to-reach human populations. The sampling starts with a limited number of individuals who are asked to recruit a small number of their contacts. Every surveyed individual is subsequently given the same opportunity to recruit additional members of the target population until a pre-established sample size is achieved. The recruitment process consequently implies that the survey respondents are responsible for deciding who enters the study. Most RDS prevalence estimators assume that participants select among their contacts completely at random. The main objective of this work is to correct the inference for departure from this assumption, such as systematic recruitment based on the characteristics of the individuals or based on the nature of relationships. To accomplish this, we introduce three forms of non-random recruitment, provide estimators for these recruitment behaviors and extend three estimators and their associated variance procedures. The proposed methodology is assessed through a simulation study capturing various sampling and network features. Finally, the proposed methods are applied to a public health setting.
Worlds and words: interrogating type and map as systems of power and embodied meaning-making

La interpretacion de nuestra realidad con esquemas ajenos solo contribuye a hacernos cada vez mas desconocidos, cada vez menos libres, cada vez mas solitaries. (Marquez, 1982, para. 7) This paper responds to the call to move away from the centre and to design from many centres. We need to address cultural colonisation and systemisation; to counter misdirection and deceit in order to reveal – not merely the ‘centre’ but the ‘systems of the underside’: structures and systems that arise in the past and which continue to “cloud our eyes” in graphic design communication. Inspired by the works of Walter Mignolo, Arturo Escobar and Boaventura de Souza Santos, which expose the ‘systems of the underside’ and the notion of ‘ecologies of knowledge’ in order to disentangle (and free) or unlink these epistemologies that get lost in western-modes of representation; and by the calls from commentators such as Tony Fry and Donna Haraway who observe that the idea of universality remains blinkered by its own artifice and only serve to create others as its subjects, this paper interrogates cartography and typography as graphic representations of cultural systems and their consequent impacts in the construction of an epistemology for the new, colonised world. Through this critique and unveiling, we follow some story lines in order to reveal the ways that lines create an iron cage. We hope to find, perhaps even create, fractures in the systems and opportunities for pluriverses.
Low-Complexity LMMSE–SIC Turbo Receiver for Continuous Phase Modulation, Based on a Multiaccess–Multipath Analogy

Low-complexity iterative reception of Continuous Phase Modulation (CPM) is addressed using Linear Minimum Mean-Square Error (LMMSE) filtering empowered by Soft Interference Cancellation (SIC). The transmitter emits a convolutionally encoded, true CPM signal with a constant envelope. The receiver exploits Laurent–Mengali–Morelli’s (LMM) decomposition to reduce the detection complexity, where the transmitted true CPM signal is approximated as a superposition of a small number of parallel Pulse Amplitude Modulated (PAM) and phase–encoded terms. Pulses and phase–encoded pseudo-symbols arising from the LMM decomposition are treated, respectively, as parallel Inter–Symbol Interference (ISI) channels and Multiple Access Interference (MAI) components. Hence the transmitted signal is regarded to inherently contain controlled ISI and MAI, which are equalized for at the receiver front-end using LMMSE–SIC filters. The receiver back-end comprises a serially concatenated turbo scheme encompassing a Soft Input–Soft Output (SISO) CPM detector and a SISO channel decoder. Simulations conducted on various CPM schemes show that the proposed receiver provides significant complexity reduction for a small performance penalty. Consequently, CPM waveforms with long pulses, which have traditionally been deemed infeasible due to the prohibitive complexity, can now be implemented employing the proposed receiver. Hence substantial spectral side-lobe compaction offered by long CPM pulses can be harnessed.
Deep Learning Trends Driven by Temes: A Philosophical Perspective

In up-to-date years deep learning has accrued diverse state-of-the-art results in many fields. However, most of the research efforts chiefly focus on pure technologies or engineering optimizations of deep learning. Inadequate consideration has been paid to it from the panorama of the philosophy of technology. Given the universal Darwinism panorama, technology is regarded as the seventh life form, which, like the other six well-known life forms, has the driving forces of survival and evolution. Similar to genes, temes are the inheritors of technology. If temes do not yield to the law of “survival of the fittest”, they will be discarded by the evolution. In this paper, we refined the essence hidden behind deep learning’s uproar emergence from a technical panorama. We then rendered its importance and philosophical perspective of deep learning. Based on the point of view of “teme” (the basis of technology), we moreover analyzed the inherent teme-related defects of deep learning. Finally, we addressed the possible teme-driven directions for deep learning.
Analysis of the Effects of Capital Expenditure, Human Development Index and Labor Absorbed to Economic Growth and Poverty in Aceh Province

This study aims to analyze the effect of capital expenditure, human development index and labor absorbed partially and simultaneously on poverty through economic growth in Aceh Province. The type of data used in this study is quantitative data while the data source used in this study is secondary data. The objects in this study are all District/City in Aceh Province consisting of 18 regencies and 5 cities. This study uses pooled data that combines time series data and cross sections for five years, from 2014 to 2018. The data analysis method used in this study is path analysis. The results showed that capital expenditure, human development index and labor absorbed simultaneously have a significant effect on economic growth. Capital expenditure has a positive but not significant effect on economic growth. Human development index and labor absorbed have a positive and significant effect on economic growth. Then capital expenditure, human development index and labor absorbed simultaneously have a significant effect on poverty. Capital expenditure partially has a negative but not significant effect on poverty. Human development index and labor absorbed has a negative and significant effect on poverty and economic growth has a positive and significant effect on poverty. Capital expenditure, human development index and labor absorbed have no significant effect on poverty through economic growth.
Fast Sequential Feature Extraction for Recurrent Neural Network-Based Hyperspectral Image Classification

Classification is a critical, widely employed type of hyperspectral image (HSI) processing. Recently, deep learning models have been attracting more attention within the hyperspectral remote-sensing community due to their improved classification performance. Among them, recurrent neural networks (RNNs), which were initially used to handle sequential data, have been applied to HSI classification with promising results. The key point for such RNN-based models in a classification context is the extraction of a sequential feature for each individual pixel in a HSI. One popular strategy is to first extract similar pixels compared with a target pixel from the HSI, and then use those similar pixels to encode its sequential feature. However, the computational cost is tremendous, especially if such similarity-calculation search is done on the whole image. In this article, inspired by our previous work regarding similarity measurement-based sequential feature construction, a faster sequential feature extraction framework for long short-term memory (LSTM)-based HSI classification is proposed, where object-based segmentation method is employed for the purpose of imposing spatial constraints and computational acceleration. Within the proposed framework, both the local segment containing the target pixel and nonlocal segments are considered. For a target pixel, similar segments are selected first based on segment-based features, and then similar pixels from selected segments are extracted to construct a sequential feature. During pixel-wise similarity measurement, both spectral and spatial information are considered in such computation. Experimental results on three benchmark HSI data sets illustrate that the proposed methods achieve promising classification performance with markedly lower computation-time cost.
Advanced NOMA Receivers From a Unified Variational Inference Perspective

Non-orthogonal multiple access (NOMA) on shared resources has been identified as a promising technology in 5G to improve resource efficiency and support massive access in all kinds of transmission modes. Power domain and code domain NOMA have been extensively studied and evaluated in both literatures and 3GPP standardization, especially for the uplink where large number of users would like to send their messages to the base station. Though different in the transmitter side design, power domain NOMA and code domain NOMA share the same need of the advanced multi-user detection (MUD) design at the receiver side. Various multi-user detection algorithms have been proposed, balancing performance and complexity in different ways, which is important for the implementation of NOMA in practical networks. In this paper, we introduce a unified variational inference (VI) perspective on various universal NOMA MUD algorithms such as belief propagation (BP), expectation propagation (EP), vector EP (VEP), approximate message passing (AMP) and vector AMP (VAMP), demonstrating how they could be derived from and adapted to each other within the VI framework. Moreover, we unveil and prove that conventional elementary signal estimator (ESE) and linear minimum mean square error (LMMSE) receivers are special cases of EP and VEP, respectively, thus bridging the gap between classic linear receivers and message passing based nonlinear receivers. Such a unified perspective would not only help the design and adaptation of NOMA receivers, but also open a door for the systematic design of joint active user detection and multi-user decoding for sporadic grant-free transmission.