Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of forest bathing and exercising on human healthy in young people in Sichuan Province

Objective: The aim of this article was to comprehensively examine the effect of forest bathing and exercising on human healthy in young people between forest and city environment in Sichuan province Methods: All experiments were randomly assigned to three groups. After doing experimental schedule which was informed to all the experiments, we summarized and analyzed the data of the experiences about physiological and psychological testing, such as blood testing containing Superoxide Dismutase (SOD), Tumor Necrosis Factor (TNF-a), Insulin-Like Growth Factor (IGF), psychological measurements including POMS and PANAS, and so on. Results: Forest bathing might help to prevent cancer by IGF. Meanwhile reducing the level of oxidation in the body, it might achieve anti-aging, anti-tumor, and regulate the body's endocrine system to improve immunity. Forest bathing could significantly improve the mood and stress of the population, which reducing negative stress or negative emotions and increasing positive or positive emotions, to change the sub-health status of the population. Conclusion: In this paper, we learned that forest bathing might be good at human health, especially on anti-aging, anti-tumor, regulation of human endocrine system, improvement of immunity, etc
Optimization of Biogas Production by Use of a Microbially Enhanced Inoculum

Biogas, created from anaerobic transformation of organic matter, is a high-energy fuel that can substitute conventional fossil-based fuels. Yields of biogas can be greatly increased by optimizing anaerobic digestion. In addition to exploration of reactor designs to reach high biogas yields, use of the right combinations of microorganisms for different organic wastes can lead to process stability over longer periods of operation. The goal of this research is to develop and test an approach for optimization of biogas production by engineering microbial consortia. Specifically, a consortium that can digest algal biomass, collected from the wastewater lagoons or open waterbodies. Algal biomass is rich in Nitrogen and Phosphorous and can be used in anaerobic co-digestion of Nitrogen-poor substrates, in addition to just being digested as a sole substrate. However, breakdown of algal cell walls requires specific microbial enzymatic machinery, that is not readily available in many sources of inocula. The research described here addresses the problem of digesting algal biomass with novel algalytic bacteria isolated from sediments of local Logan City Wastewater Lagoons. Bacteria were used to augment microbial consortium that hasn’t digested algal biomass before, leading to an enhanced biogas production from this type of substrate. The research also addresses current state of the anaerobic microbiology field and expands on the previous efforts to analyze microbial interactions in wastewater treatment systems. Specifically, a computational model is developed to aid with in silico prognosis of anaerobic consortia ability to form complex aggregates in anaerobic reactors with upflow mode of feeding substrate. In addition, the model provides insights into bioaugmentation of the microbial aggregates with novel metabolic capabilities. Combining modeling predictions and laboratory experiments in anaerobic
THE X-RAY PROPERTIES OF THE BLACK HOLE TRANSIENT MAXI J1659–152 IN QUIESCENCE

We present new Chandra X-ray observations of the transient black hole X-ray binary MAXI J1659–152 in quiescence. These observations were made more than one year after the end of the source's 2010–2011 outburst. We detect the source at a 0.5–10 keV flux of 2.8(8) × 10−15 erg s−1 cm−2, which corresponds to a luminosity of ∼1.2 × 1031 (d/6 kpc)2 erg s−1. This level, while being the lowest at which the source has been detected, is within factors of ∼2 of the levels seen at the end of the initial decay of the outburst and soon after a major reflare of the source. The quiescent luminosity of MAXI J1659–152, which is the shortest-orbital-period black hole X-ray binary (∼2.4 hr), is lower than that of neutron-star X-ray binaries with similar periods. However, it is higher than the quiescent luminosities found for black hole X-ray binaries with orbital periods ∼2–4 times longer. This could imply that a minimum quiescent luminosity may exist for black hole X-ray binaries, around orbital periods of ∼5–10 hr, as predicted by binary-evolution models for the mass transfer rate. Compared to the hard state, we see a clear softening of the power-law spectrum in quiescence, from an index of 1.55(4) to an index of 2.5(4). We constrain the luminosity range in which this softening starts to (0.18–6.2) × 10−5 (d/6 kpc)2 (M/8 M☉) LEdd, which is consistent with the ranges inferred for other sources.
Do young people who are not in education, employment or training (NEET) have more health problems than their peers? A cross-sectional study among Norwegian adolescents

Objectives: An increasing proportion of young Norwegians are categorised as too ill to attend upper secondary education, and poor physical and mental health may reduce their opportunities to return to school or find paid employment. This study examined the differences in self-perceived health, mental health, and prevalence of pain between Norwegian adolescents, who are not in education, employment or training (NEET) compared to adolescents who attend upper secondary school (age 16-21 years). Design: Cross-sectional study.Participants and setting: A total of 96 NEET youth and 384 age and gender matched adolescents attending upper secondary school in the south of Norway participated in the study.Main outcome measures: Self-perceived health, mental health and pain.Results: Multivariable analyses, adjusted for parental education, showed that more NEET girls reported poor self-perceived health (odds ratio 3.2; 95% CI 1.4–7.5) and poor mental health (2.4;1.0–5.2) when compared to girls who were attending school. The results showed no difference in the prevalence of various types of pain between girls who were attending or not attending school, and among boys the results showed no differences in health problems assessed in this study.Conclusion: The study indicates that NEET girls have poorer self-perceived health and poorer mental health when compared to girls who are attending upper secondary school. It will be essential to identify the causes of these health problems. This may provide a basis for specially adapted measures that could help more people in the target group return to school or paid employment.
A meta-analysis of the factor structure of the Geriatric Depression Scale (GDS): the effects of language

ABSTRACT Background: Given the lack of consensus on the factor structure of the Geriatric Depression Scale (GDS), as well as the fact that the GDS factor structure appears to vary across diverse cultural and/or language groups, the present meta-analysis examined whether the factor structure of the GDS varies by language. Methods: A total of 26 published studies using exploratory factor analysis (14,669 participants; 10 languages) were included in the meta-analysis. The factor structure of the GDS was assessed in the overall sample as well as in each language that had been examined in at least two different studies. Results: The analysis of the full sample resulted in a four-factor structure, whereas analyses of the individual languages produced structures with 4 to 6 factors. The mean variable cosines between languages ranged from 0.612 to 0.839, suggesting that the different languages produced distinct factor structures. The three factors of dysphoria, social withdrawal-apathy-cognitive impairment, and positive mood were commonly observed across different languages. Of these, the positive mood factor was the most similar across the languages. Conclusions: These results provide strong evidence of language differences in the factor structure of the GDS. The findings suggest a need for researchers and clinicians to be careful when administering the GDS in different languages, as well as a need to take structural differences into account when interpreting results of the GDS.
LREC 2018 Workshop 4 REAL 2018 Workshop on Replicability and Reproducibility of Research Results in Science and Technology of Language

In this paper, we reproduce some of the experiments related to bilingual terminology alignment described by Aker et al. (2013). They treat bilingual term alignment as a binary classification problem and train a SVM classifier on various dictionary and cognate-based features. Despite closely following the original paper with only minor deviations in areas where the original description is not clear enough we obtained significantly worse results than the authors of the original paper. In the second part of the paper, we try to analyze the reasons for the discrepancy and offer some methods to improve the results. After improvements we manage to achieve a precision of almost 91% and recall of almost 52% which is closer to the results published in the original paper. Finally, we also performed manual evaluation where we achieved results similar to the original paper. To help with any future reimplementation efforts of our experiments, we also publish our code online.
Effects of dietary inclusion of commercial toxin binders and prebiotics on performance and immune responses of broiler chicks fed aflatoxin-contaminated diets

This study aimed to evaluate the efficiency of the dietary inclusion of commercial toxin binders (CTs) and prebiotics on growth performance, immune responses, intestinal morphology and blood variables of broiler chicks fed with aflatoxin and non-aflatoxin-contaminated diets. Six hundred one-day-old male Ross 308 broiler chicks, initial weight of 42 ± 3 g, were used in 10 treatments with six replications (n = 10 birds). ASRI1 and ASRI2 commercial toxin binders and lactose prebiotic were included in their diets. Experimental diets included: 1) basal diet without aflatoxin and additives (NC); 2) basal diet containing aflatoxin (PC); 3) NC diet containing ARSI1; 4) NC diet containing ARSI2; 5) NC diet containing prebiotics; 6) PC diet containing ARSI1; 7) PC diet containing ARSI2; 8) PC diet containing prebiotics; 9) PC diet containing ARSI1+prebiotics; and 10) PC diet containing ARSI2+prebiotics. Growth performance, humoral and cellular immune responses, jejunal morphology and some blood variables were assessed. Results showed that broiler chicks fed with a PC diet showed a higher feed conversion ratio and lower body weight in the grower and finisher periods. Broiler chicks fed with PC diets showed lower immunoglobulin G and M and also cellular immunities compared to the NC diet. The PC group also showed lower values for villus length, villus width and crypt depth, and higher values for liver enzyme activities compared to the PC diet. However, dietary inclusion of prebiotics and CTs, in single and combined form, improved growth performance in grower and finisher periods, cellular and humoral immunities, intestinal morphology and the serum concentration of triglycerides, cholesterol, glucose and liver enzyme activities of broiler chicks fed with aflatoxin. Keywords: Aflatoxin, ASRI1 toxin binder, broiler chicks, growth performance, humoral immunity
Effects of Lobbying Among Urban Planners in Finland : Views on Multi-Storey Wooden Building

In the context of urban development and construction, professionals working as urban planners have a key role in influencing the implementation of national building codes at the local level, and can thus influence the use of material-based opportunities to promote sustainable development. With growing recognition of wood material as an alternative to concrete in multi-story construction, it is interesting to analyze planners’ perceptions of alternative materials and especially how they perceive to be influenced by diverse actors. Based on our survey data collected from the 30 largest Finnish municipalities, we analyze to what extent municipal planners experience lobbying and investigate whether this perceived lobbying effect is visible in the planners’ perceptions of material-based sustainability in the case of multi-story building. According to our results, Finnish urban planners perceive, on the one hand, wood materials from the perspective of its solid environmental and other quality attributes in building, and, on the other hand, from a more generic technological and regulatory perspective compared to building with concrete. Furthermore, we observed a significant lobbying effort aimed at professionals responsible for urban planning decisions in the largest Finnish municipalities, but further research is needed concerning the influencing mechanisms of this lobbying.
Resource Allocation in Multi-analytics, Resource-Constrained Environments

Author(s): Dimopoulos, Efstratios | Advisor(s): Krintz, Chandra; Wolski, Rich | Abstract: The vast proliferation of monitoring and sensing devices equipped with Internet connectivity, commonly known as the Internet of Things (IoT) generates an unprecedented volume of data, which requires Big Data Analytics Systems (BDAS) to process it and extract actionable insights. The large diversity of IoT data processing applications require the deployment of multiple processing frameworks under the coordination of a resource allocator. To enable prompt actuation, these applications must meet deadlines and their processing takes place near where data is generated, in private clouds or edge computing clusters, which have limited resources.In resource-constrained and multi-analytics settings there are issues related to the combined use of open-source BDAS, originally designed for resource-rich, standalone clusters, that remain unaddressed. Specifically, open-source BDAS have unknown behavior when used combined under the coordination of a cluster-manager and the available resources are limited. Moreover, existing allocation policies are not suitable to meet deadlines in resource-constrained settings without wasting resources or requiring particular repetitive job patterns. Lastly, in such settings fair-share policies cannot reliably preserve fairness.To satisfy deadlines and achieve allocation fairness in resource constrained clusters for multi-analytics, we employ predictive resource allocation and admission control. We evaluate the performance and behavior of BDAS in resource-constrained multi-analyticsclusters and understand the root causes of their interference. Moreover, we design admission control and resource allocation suitable for resource-managers. Allocation decisions adapt to changing cluster conditions to satisfy deadlines and preserve fairness under resource-constrained multi-analytics settings. We evaluate our approach with trace-based simulations and production workloads and show that it satisfies more deadlines, preserves fairness, and utilizes the cluster more efficiently compared to existing fair-share allocators designed for resource managers.
Ecological worldview, attitudes, and visitors’ behaviour: a study of front-country campers

ABSTRACT Tourism and recreation have included attitudes in their pro-environmental behaviour prediction frameworks, though not many have assessed the cognitive and affective dimensions of attitudes in their analyses. In environmental psychology, environmental values are antecedent to attitudes, where ecological worldviews are reflective of environmental values. This study reports the influence of nature-based tourists’ ecological worldviews in combination with the cognitive and affective dimensions of attitudes on pro-environmental behavioural intentions. A sample of 1,009 front-country campers visiting Alberta, Canada’s provincial parks were surveyed. Analysis of data using structural equation modelling revealed that affective-attitudes strongly and positively influenced intentions to engage in nature-protective behaviours while camping; cognitive-attitudes had a non-significant effect on intentions. This is congruent with other studies’ findings that emphasize the importance of affect in influencing intentions and behaviours. Respondents’ New Ecological Paradigm scale scores demonstrated a direct, positive effect on camper’s intention to engage in pro-environmental camping behaviours. They also had a strong indirect effect on intentions through affective-attitudes. These findings suggest an emphasis on affect-based messaging to promote pro-environmental behaviour among nature-based tourists are warranted, especially when communicating to individuals who already possess pro-ecological worldviews.
Detection of Adulteration in Edible Oil Using FT-IR Spectroscopy and Machine Learning

Aims: To detect the adulterant in edible oil rapidly. Study Design: Authenticity and adulteration detection in edible oils are the increasing challenges for researchers, consumers, industries and regulatory agencies. Traditional approaches may not be the most effective option to combat against adulteration in edible oils as that’s are complex, laborious, expensive, require a high degree of technical knowledge when interpreting data and produce hazardous chemical. Consequently, a cost effective, rapid and reliable method is required. Place and Duration of the Study: The experiment was conducted jointly in the laboratory of the Department of Food Technology and Rural Industries, Bangladesh Agricultural University, Mymensingh and the Institute of Food Science and Technology, BCSIR, Dhaka. Methods: In this study, Fourier Transform Infrared spectroscopy coupled with multivariate analysis was used for adulteration detection in sunflower and rice bran oil. Sunflower oil was adulterated with soybean oil in the range of 10-50% (v/v) and rice bran oil was adulterated with palm oil in the range of 4-40% (v/v) at approximately 10% and 5% increments respectively. FTIR spectra were recorded in the wavenumber range of 4000-650cm-1. Results: FTIR spectra data in the whole spectral range and reduced spectral range were used to develop a partial least square regression (PLSR) model to predict the level of adulteration in sunflower and palm oils. Good prediction model was obtained for all PLSR models with a coefficient of determination (R2) of >= 0.985 and root mean square errors of calibration (RMSEC) in the range of 0-1.7325%. Conclusion: The result suggested that FTIR spectroscopy associated with multivariate analysis has the great potential for a rapid and non-destructive detection of adulteration in edible oils laborious conventional analytical techniques.
Central bank independence, government political orientation and optimum government expenditure financing

This paper extends the government optimum expenditure financing model by incorporating the effects of both the government’s political orientation and the central bank’s independence. For the panel data of fourteen OECD countries for the period from 1974 to 1997, this paper shows first that countries with higher levels of central bank independence generate less seigniorage revenue, and second that governments which are controlled by left-wing parties create more seigniorage revenue to finance their spending. JEL Code: E61, E58 & E63
A Data Mining Approach Identified Salivary Biomarkers That Discriminate between Two Obesity Measures

Background A key mechanism of obesity involves dysregulation of metabolic and inflammatory markers. This study aimed to identify salivary biomarkers and other factors associated with obesity using an ensemble data mining approach. Methods For a random cohort of over 700 subjects from 8137 Kuwait children (10.00 ± 0.67 years), four data mining methods were applied to identify important variables associated with obesity, including logistic regression by lasso regularization (Lasso), multivariate adaptive regression spline (MARS), random forests (RF), and boosting classification trees (BT). Each algorithm generated a variable importance rank list, based on an internal cross-validation procedure. An aggregated importance ranking was constructed by averaging the rank ordering of variables from individual list, weighted by the classification performance of respective models. Subsequently, the subset of top-ranking variables that were identified with at least three algorithms was evaluated by classification performance using receiver operating characteristic (ROC) analysis with bootstrap percentile resampling. Results Obesity was defined either by the waist circumference (OBW) or by the body mass index (BMI) (OBWHO). We identified C-reactive protein (CRP), insulin, leptin, adiponectin, as salivary biomarkers associated with OBW, plus a clinical feature fitness level. A similar set of biomarkers was identified for OBWHO, but not including leptin. Tree-based clustering analysis revealed patterns that were significantly different between the OBW and OBWHO subjects. Conclusion A data mining approach based on multiple algorithms is useful for identifying factors associated with phenotypes, especially in cases where relationships are not salient, and a consensus from multiple methods can help produce a more generalizable subset of features. In this case, we have demonstrated that evaluation using the waist circumference includes association with high levels of salivary leptin, which is not seen with evaluation by BMI.
Parallel Tabu Search 1.4 Literature Review 1.5.2 Real-time Vehicle Routing and Dispatching for Courier Services Two Parallel Tabu Search Heuristics for Real-time Fleet Management

1 2 PARALLEL TABU SEARCH 1.1 INTRODUCTION Like other metaheuristics, Tabu Search (TS) has been the object over the last fifteen years or so of several efforts aimed at taking advantage of the benefits offered by parallel computing (see the surveys of Crainic and Toulouse [23, 24], Cung et al. As it is the case with other metaheuristics, the main goal pursued when resorting to parallel implementations of TS is to reduce the overall (" wallclock ") time required to solve a problem instance. This is a particularly important objective when tackling problems that must be solved in real time, as we shall see in a latter section of this chapter. There are, however, other possible objectives. Among these, we must mention enhancing the robustness of the algorithm at hand by performing a broader search of the solution space. In some cases, this may even lead to a more efficient search scheme, i.e., a search scheme capable of finding better solutions than the corresponding sequential search approach for the same overall computational effort. This may also significantly reduce the calibration effort required to achieve good results consistently over diverse sets of problem instances. The purpose of this chapter is twofold: first, to describe, discuss, and illustrate the main strategies that have been used over time to parallelize TS heuristics; second, to provide an updated survey of the literature in the rapidly moving field of parallel TS. The remainder of the chapter is organized as follows. In section 1.2, we briefly recall the main features and components of Tabu Search. Section 1.3 describes parallelization strategies for TS. Parallel TS implementations from the literature are then reviewed in section 1.4. This is followed in section 1.5 by a description of two applications of parallel TS schemes for the real-time management of fleets of vehicles. Section 1.6 summarizes the main conclusions of the papers and identifies some interesting research directions for parallel TS. Tabu Search was introduced by Glover in 1986 in a seminal paper [45] in which he also coined the term metaheuristics and defined these as strategies designed to guide inner heuristics aimed at specific problems. TS is an extension of classical local search methods typically used to find approximate solutions to difficult combinatorial optimization problems. As in other local search techniques, TS explores the solution or search space by moving at each iteration from the current solution to a neighbouring …