Miracle-dz/UniFAR-FTUs huggingface dataset:
Parametric Optimization in Rougher Flotation Performance of a Sulfidized Mixed Copper Ore

The dominant challenge of current copper beneficiation plants is the low recoverability of oxide copper-bearing minerals associated with sulfide type ones. Furthermore, applying commonly used conventional methodologies does not allow the interactional effects of critical parameters in the flotation processes to be investigated, which is mostly overlooked in the literature. To tackle this issue, the present paper aimed at characterizing the behavior of five key effective factors and their interactions in a sulfidized copper ore. In this context, dosage of collector (sodium di-ethydithiophosphate, 60–100 g/t), depressant (sodium silicate, 80–120 g/t) and frother (methyl isobutyl carbinol (MIBC), 6–10 g/t), pulp pH (7–11) and agitation rate (900–1300 rpm) were examined and statistically analyzed using response surface methodology. Flotation experiments were conducted in a Denver type agitated flotation cell at the rougher stage. The experimental results showed that increasing the pH (from 8 to 10) at low agitation rate (1000 rpm) enhanced the recovery from 80.36% to 85.22%, while at high agitation rate (1200 rpm), a slight declination occurred in the recovery. Meanwhile, increasing the collector dosage at a lower frother value (7 g/t), caused a reduction of about 4.44% in copper recovery owing to the interactions between factors, whereas at a higher frother level (9 g/t), the recovery was almost unchanged. The optimization process was also performed using the goal function approach, and maximum copper recovery of 92.75% was obtained using ~70 g/t collector, 110 g/t depressant, 7 g/t frother, pulp pH of 10 and 1000 rpm agitation rate.
Methylation-wide association analysis reveals AIM2, DGUOK, GNAI3, and ST14 genes as potential contributors to the Alzheimer’s disease pathogenesis

Introduction: Alzheimer’s disease (AD) is a progressive complex neurodegenerative disorder with devastating impact on cognitive abilities. It is among the top 10 leading causes of death in the United States with no curative medications. Exploring genetic and non-genetic contributors to AD development is, therefore, of great importance. Methods: We investigated the AD-associated epigenetic changes by combing results from publicly available genome-wide association analyses and a large-scale methylation quantitative trait loci study. Results: Probes mapped to 133 genes were associated with AD with < 2.50E-06. Of these, four genes (i.e., GNAI3, AIM2, DGUOK and ST14) provided stronger evidence of possible role in AD pathogenesis as they were also significantly associated with AD in previous expression quantitative trait loci analyses and/or mouse model studies. Discussion: Although the identified associations do not prove any definitive causal relationships with AD, they provide a list of prioritized genes for follow-up functional studies.
CER-ETH – Center of Economic Research at ETH Zurich A Minting Mold for the eFranc: A Policy Paper

We suggest a blueprint for an eFranc as a possible complement for the Swiss monetary system to ensure the long-term stability of its money. An eFranc is a non-interest-bearing digital form of the legal tender available to the public. The public can convert banknotes or part of its bank deposits into eFrancs, subject to the banks’ ability to obtain the corresponding amount of eFrancs from the central bank. There is free conversion of eFrancs into bank deposits (and into banknotes). For the technical implementation of the eFranc, we suggest a two-layer system combining a permissioned asynchronous blockchain without consensus which provides a secure environment for validating transactions (base layer) plus a peer-to-peer payment network (top layer).
Work less but stay longer. Mature worker response to a flexibility reform

Reducing the eligibility age for pension benefits is considered by many as a policy that will discourage labor supply by mature workers. This paper analyzes a recent Norwegian pension reform which effectively lowered the eligibility age of retirement from 67 to 62 for a group of workers. For the individuals we study, the expected present value of benefits was held constant by introducing flexible claiming and actuarially adjusting the periodic pension payment. This provides us with a unique opportunity to study the isolated impact of increased flexibility. As expected, we find that on average workers reduced their earnings and working hours. However, this initial negative effect is partially offset by an increase in labor force participation rate later at age 64 and 65. Our findings suggest that increased flexibility could potentially serve as a policy aimed at increasing the labor supply of older workers through promoting gradual exit from the labor force.
Biochar loaded chitosan/gelatin/poly(ethylene glycol) biocomposite beads: Morphological, thermal and swelling properties

The chitosan/gelatin/biochar biocomposite beads were prepared via the use of the emulsion crosslinking method in the presence of poly(ethylene) glycol as a cross-linker. The effects of different ratios of biochar (1 and 5%) on the characteristics of the beads were evaluated by scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS), thermogravimetric analysis (TGA) and Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy (ATR-FTIR) and swelling studies. The FT-IR results showed the interactions of biochar and polymer matrix. The prepared beads showed good swelling properties and different morphologies. The average diameter of neat chitosan/gelatin beads was almost 725 µm, while the average diameter of 1% and 5% biochar incorporated beads were 726 µm and 597 µm, respectively. The swelling capacity of the beads was decreased from 4671% to 2092% when the biochar incorporation ratio increased from 1% to 5%. This indicated that the preparation of beads with varying properties can be achieved by controlling the biochar amount. The beads may be evaluated in various applications as polymeric carrier systems and adsorbents.
Community Integrated Earth System Model (CIESM): Description and Evaluation

A team effort to develop a Community Integrated Earth System Model (CIESM) was initiated in China in 2012. The model was based on NCAR Community Earth System Model (Version 1.2.1) with several novel developments and modifications aimed to overcome some persistent systematic biases, such as the double Intertropical Convergence Zone problem and underestimated marine boundary layer clouds. Aerosols' direct and indirect effects are prescribed using the MACv2‐SP approach and data sets. The spin‐up of a 500‐year preindustrial simulation and three historical simulations are described and evaluated. Prominent improvements include alleviated double Intertropical Convergence Zone problem, increased marine boundary layer clouds, and better El Niño Southern Oscillation amplitude and periods. One deficiency of the model is the significantly underestimated Arctic and Antarctic sea ice in warm seasons. The historical warming is about 0.55 °C greater than observations toward 2014. CIESM has an equilibrium climate sensitivity of 5.67 K, mainly resulted from increased positive shortwave cloud feedback. Our efforts on porting and redesigning CIESM for the heterogeneous Sunway TaihuLight supercomputer are also introduced, including some ongoing developments toward a future version of the model.
Whole Genome Sequence and Development of a Transposon Mutagenesis System for Pseudomonas Putida sp.12

Nowadays, Heavy metal pollution is one of the most important environmental problems. All metals occurring in the biosphere originated in the earth’s crust; however, the toxic metal pollution of the biosphere has intensified rapidly since the onset of the industrial revolution, posing major environmental and health problems. Several studies have demonstrated the effect of metals on microbial diversity, biomass and activity. It is believed that metal Microbial activity is responsible for the bioremediation of the third elements in the periodic table. Selenium is an important trace element that required for in trace amounts for growth and metabolism but toxic at elevated concentration. The ability of a single mutant Pseudomonas putida sp.12(mariner transposon) has been used to search for genes involved in the biotransformation of selenite to red elemental selenium. This study aims to develop a transposon mutagenesis system for the model P. putida sp.12 to investigate the gene(s) that involved in selenite reduction. The conjugative plasmid pSAM_R1 containing the mariner transposon was used for transposon mutagenesis. A single mutant reliably impaired in selenite transformation, found that the mutant clones, contained an inactivation within pmoB, one of two copies of the gene encoding the largest subunit of particulate selenite-reduction. Physiological analysis of this “white mutant” indicated that the selenite-reducing activity, which was located primarily in the cytoplasm of the cells, could be rescued by adding format as an alternative source of electrons
A Quantitative Method to Measure and Speciate Amines in Ambient Aerosol Samples

Ambient reactive nitrogen is a mix of nitrogen-containing organic and inorganic compounds. These various compounds are found in both aerosol- and gas-phases with oxidized and reduced forms of nitrogen. Aerosol-phase reduced nitrogen is predominately thought to include ammonium and amines. In ambient samples, the ammonium concentration is routinely determined, but the contribution of amines is not. We developed a method to discretely measure amines from ambient aerosol samples. It employs ion chromatography using a Thermo Scientific IonPac Dionex CS-19 column with conductivity detection and a three-step separation using a methanesulfonic acid eluent. This method allows for the quantification of 18 different amines, including the series of methylamines and the different isomers of butylamine. Almost all amines quantifiable by this technique were measured regularly when applying this method to ambient filter samples collected in Rocky Mountain National Park (RMNP) and Greeley, CO. The sum of the amines was ~0.02 µg m−3 at both sites. This increased to 0.04 and 0.09 µg m−3 at RMNP and Greeley, respectively, at the same time they were impacted by smoke. Analysis of separate, fresh biomass burning source samples, however, suggests that smoke is likely a minor emission source of amines in most environments.
The meiotic recombination landscape of Drosophila virilis is robust to mitotic damage during hybrid dysgenesis

Germline DNA damage is a double-edged sword. Programmed double-strand breaks establish the foundation for meiotic recombination and chromosome segregation. However, double-strand breaks also pose a significant challenge for genome stability. Because of this, meiotic double-strand break formation is tightly regulated. However, natural selection can favor selfish behavior in the germline and transposable elements can cause double-strand breaks independent of the carefully regulated meiotic process. To understand how the regulatory mechanisms of meiotic recombination accommodate unregulated transposition, we have characterized the female recombination landscape in a syndrome of hybrid dysgenesis in Drosophila virilis. In this system, a cross between two strains of D. virilis with divergent transposable element and piRNA profiles results in germline transposition of diverse transposable elements, reduced fertility, and male recombination. We sought to determine how increased transposition during hybrid dysgenesis might perturb the meiotic recombination landscape. Our results show that the overall frequency and distribution of meiotic recombination is extremely robust to germline transposable element activation. However, we also find that hybrid dysgenesis can result in mitotic recombination within the female germline. Overall, these results show that landscape of meiotic recombination may be insensitive to the DNA damage caused by transposition during early development.
Ensemble machine learning approaches for webshell detection in Internet of things environments

The Internet of things (IoT), made up of a massive number of sensor devices interconnected, can be used for data exchange, intelligent identification, and management of interconnected “things. ” IoT devices are proliferating and playing a crucial role in improving the living quality and living standard of the people. However, the real IoT is more vulnerable to attack by countless cyberattacks from the Internet, which may cause privacy data leakage, data tampering and also cause significant harm to society and individuals. Network security is essential in the IoT system, and Web injection is one of the most severe security problems, especially the webshell. To develop a safe IoT system, in this article, we apply essential machine learning models to detect webshell to build secure solutions for IoT network. Future, ensemble methods including random forest (RF), extremely randomized trees (ET), and Voting are used to improve the performances of these machine learning models. We also discuss webshell detection in lightweight and heavyweight computing scenarios for different IoT environments. Extensive experiments have been conducted on these models to verify the validity of webshell intrusion. Simulation results show that RF and ET are suitable for lightweight IoT scenarios, and Voting method is effective for heavyweight IoT scenarios.
Parasites and cleaning behaviour in damselfishes

ii Declaration by author . v Publications during candidature . vi Publications included in this thesis . vi Contributions by others to the thesis. vii Statement of parts of the thesis submitted to qualify for the award of another degree . vii Acknowledgements. viii
Lightweight bioinformatics: evaluating the utility of Single Board Computer (SBC) clusters for portable, scalable Real-Time Bioinformatics in fieldwork environments via benchmarking

The versatility of the current DNA sequencing platforms and the development of portable, nanopore sequencers means that it has never been easier to collect genetic data for unknown sample ID. In fact, the distinction between fieldwork and the laboratory is becoming blurred since genome-scale data can now be collected in challenging conditions in a matter of hours. However, the full scientific and societal benefits of these new methods can only be realised with equally rapid and portable analyses. At present, field-based analyses of genomic data, despite advances in computing technology, remain problematic; laptop computers are relatively expensive and limited in scalability, while cloud- and cluster-based analyses depend, for the time being, on sufficiently reliable high-bandwidth data uplinks to transmit primary data for analysis. Single board computers (SBCs), such as the Raspberry Pi, offer a potential solution to this problem: while less powerful than their laptop cousins, their very individual low cost and power consumption mean modest arrays of SBCs could be used for field-based preprocessing, or complete analyses or primary data. In this study we investigate the performance of one SBC, the Pi 3 Model B+, on a range of typical field-sequencing tasks versus laptop and cloud-based form-factors. Our data analysis pipeline has been made available as a workflow on Github for simple, scalable deployment for a range of uses.
Pengaruh model pembelajaran role playing materi bolavoli terhadap pembentukan karakter siswa

Tujuan dalam penelitian ini adalah untuk mengetahui pengaruh model pembelajaran role playing materi bolavoli terhadap pembentukan karakter siswa. Desain penelitian ini adalah quasi experimental design. Sampel penelitian sebanyak 62 siswa, yang dibagi kedalam kelompok eksperimen dan kelompok kontrol. Instrumen penelitian berupa kuesioner untuk mengukur karakter dalam olahraga. Teknik analisis data menggunakan uji t. Hasil penelitian ini menunjukkan bahwa terdapat pengaruh model pembelajaran role playing pada materi bolavoli terhadap pembentukan karakter siswa dibandingkan model konvensional dengan nilai signifikansi 0,000. Kesimpulan dari penelitian ini adalah model pembelajaran role playing pada materi bolavoli efektif dalam pembentukan karakter siswa.
Sexist AI: An Experiment Integrating CASA and ELM

ABSTRACT This study employed an experiment to test participants’ perceptions of an artificial intelligence (AI) recruiter. It used a 2 (Specialist AI/Generalist AI) × 2 (Sexist/nonsexist) design to test the relationship between these labels and the perception of moral violations. The theoretical framework was an integration of the Computers Are Social Actors (CASA) and Elaboration Likelihood Model (ELM) approaches. Participants (n = 233) responded to an online questionnaire after reading one of four scenarios involving an AI recruiter’s evaluation of job candidates. Results found that the concept of “mindlessness” in CASA is situational, based on whether the issue is processed with the central route or the peripheral route. Moreover, this study shows that CASA can explain the evaluation of machines with the third-person point of view. Also, there was a distinction between the perception of the AI and its decisions. Furthermore, participants were found to be more sensitive about the AI agent’s sexism – which was more anthropomorphic and emotionally engaging – than about the AI agent’s status as a specialist.
No Additional Evidence that Proximity to the July 4th Holiday Affects Affective Polarization

One promising approach for reducing affective polarization is priming a shared American identity and one promising event to prime that identity is the 4th of July. Prior work showed that proximity to the 4th of July reduced affective polarization. We conceptually replicated this study using a 9-wave longitudinal design in 2019. We found no short-term or long-term effects of the 4th of July on social distance from partisan and ideological ingroups or outgroups. Notably, our within-subjects design was able to identify the existence of individual differences in social distance trajectories across time, but there were not individual differences in short-terms changes in social distance in close proximity to the 4th of July. Additional analyses, did not find consistent predictors of these individual differences, suggesting a clear gap for future studies. Although priming a shared American identity may be effective, these findings suggest that the salutary effects of the 4th of July holiday do not emerge in 2019.
Pan-cancer systematic identification of lncRNAs associated with cancer prognosis

The “dark matter” of the genome harbors several non-coding RNA species including IncRNAs, which have been implicated in neoplasias but remain understudied. RNA-seq has provided deep insights into the nature of lncRNAs in cancer but current RNA-seq data are rarely accompanied by longitudinal patient survival information. In contrast, a plethora of microarray studies have collected these clinical metadata that can be leveraged to identify novel associations between gene expression and clinical phenotypes. In this study, we developed an analysis framework that computationally integrates RNA-seq and microarray data to systematically screen 9,463 lncRNAs for association with mortality risk across 20 cancer types. In total, we identified a comprehensive list of associations between lncRNAs and patient survival and demonstrate that these prognostic lncRNAs are under selective pressure and may be functional. Our results provide valuable insights that facilitate further exploration of lncRNAs and their potential as cancer biomarkers and drug targets.
Feeding Style for Children Aged 0-59 Months of Buginese Ethnicity

Background. The study of Feeding Style of children in ethnic Buginese was focused on caregiver styles to feeding practices that influences nutritional stunting. The purpose of this study was to determine feeding style of Bugis ethnicity. Method. The cross sectional study and the sample size is 300 subjects, selected by random sampling. Located in in Makassar City, South Sulawesi Provice Indonesia (starting January-December 2019). Enumerators in this study were students of the Applied Nutrition & Dietetic in Nutrition Department of the Health Polytechnic Makassar. Research ethics was obtained at the Makassar Health Polytechnic Ethics Commission. The results showed that stunting prevalence for children in Bugineses ethnicity was 22,7% and Feeding Style consists of four groups namely caring ( indulgent ), compromise ( authoritative ), free ( uninvolved ) and completely regulating ( authoritarian ). The conclusion is that the style of Bugis ethnic child feeding style consists of four groups namely indulgent, authoritative, uninvolved, and authoritarian.
Microbiological Air Quality in a Highschool Gym Located in an Urban Area of Southern Poland—Preliminary Research

The benefits of regular exercise include improved physical and mental health. The school gym is a particular micro-environment where students perform intensive physical training. The question is if there is an increased risk of microbiological contamination. This preliminary work studied the exposure of students to bacterial aerosol (BA) in a highschool gym located in an urban area of Southern Poland. A sampling of BA was undertaken with an Andersen six-stage impactor (ANDI). BA was identified using API (analytical profile index) tests. The BA concentrations were expressed as Colony Forming Units (CFU) per cubic metre of air. The results showed that before gym classes (BGC), the concentration of BA was 4.20 × 102 ± 49.19 CFU/m3, while during gym classes (DGC), the level of BA more than doubled (8.75 × 102 ± 121.39 CFU/m3). There was also an increase in the respirable fraction of BA (particles less than 3.3 µm). Before the start of the sports activities, respirable fraction accounted for 30% of the BA, while during physical education classes, this share increased to over 80%. Identification of BA species showed that the dominant group of bacteria in the indoor air of the gym BGC was Gram-positive rods (61%) and for DGC it was Gram-positive cocci (81%). We detected that one bacteria strain (Corynebacterium striatum) was classified into risk group 2 (RG2) according to Directive 2000/54/EC. Additionally, multi-antibiotic resistance (MAR) showed that among the isolated airborne bacteria, the highest antibiotic resistance was demonstrated by Staphylococcus epidermis (isolated DGC) and Pseudomonas sp. (isolated BGC). The quantitative and qualitative information on microbiological air quality (MIAQ) in the school gym indicates that the actions to improve indoor physical activity spaces are recommended.
Recent Advances in Semiconducting Monoelemental Selenium Nanostructures for Device Applications

Investigations into semiconductor nanomaterials from both an academic and industrial point of view are of great significance. Selenium (Se) nanostructures, as narrow bandgap semiconductors, have a variety of potential applications in the fabrication of many high‐performance devices. The past decades have witnessed rapid development in new strategies for synthesizing Se nanostructures with controlled sizes, shapes, and structures, whose diverse structure‐dependent nature enables functional Se nanomaterials to have great potentials for modern applications. This review focuses on the synthesis and morphology control of intriguing Se nanostructures, the latest progress in understanding the fundamental properties of Se nanostructures, and the recent advances in high‐performance Se nanomaterial‐based devices for diverse applications. Finally, the challenges and future opportunities for Se nanostructures and Se‐related devices are also discussed.