Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiple Cultures – One Process: Undertaking A Cross Cultural Grounded Theory Study

Increasingly researchers are interested in the nexus of older adults, migration and health. Grounded theory is an ideal methodology to use in qualitative studies seeking to better understand the processes surrounding immigrants’ resettlement and how they maintain their wellbeing. To date, grounded theory methods have been employed in New Zealand research with older Asian immigrants; however, such research has only involved one ethnic group per study. Internationally, there is a dearth of research using grounded theory methods with participants from multiple ethnic communities. This paper describes the steps undertaken in developing a cross cultural grounded theory study of Chinese, Indian, and Korean senior immigrants’ contribution to New Zealand society. The challenges, learnings, and benefits of undertaking such research are explored and recommendations put forth for developing the use of a grounded theory methodology in cross cultural studies.
A Novel Air Quality Evaluation Paradigm Based on the Fuzzy Comprehensive Theory

Air pollution is a prominent problem all over the world, seriously endangering human life. To protect the environment and human health, timely and accurate air quality evaluations are imperative. Recently, with the increasing focus on air pollution, an evaluation tool that can offer intuitive air quality information is especially needed. Though the Air Quality Index (AQI) has played this role over the years, its intrinsic limitations discussed in this study (sharp boundary, biased evaluation, conservative strategy and incomplete criterion) are gradually apparent, limiting its air quality evaluation capability. Therefore, a novel paradigm, the Air Quality Fuzzy Comprehensive Evaluation (AQFCE), is proposed. In the preprocessing module, missing and reversal data are handled by a least square piecewise polynomial fitting and linear regression. An improved fuzzy comprehensive evaluation model is adopted to solve the AQI’s above limitations in the evaluation module. The early warning module provides a timely alert and recommendation. To validate the performance of the AQFCE, Beijing, Shanghai and Xi’an in China are selected for case studies, and daily and hourly concentration data of six conventional air pollutants from September 2018 to August 2019 are employed. For daily reports, the AQFCE and AQI have a high consistent rate and correlation coefficient regarding chief pollutants and levels, respectively, while examples show the level of the AQFCE is more reasonable. For hourly reports, AQI has antinomies and cannot reflect actual pollution, but the AQFCE is still effective. Current major pollutants, “weekend and holiday effect” and “peak type” of pollution are also revealed by the AQFCE. Experiment results prove that the AQFCE is accurate under different pollution conditions and an important supplement to the AQI. Furthermore, the AQFCE can provide health guideline for the public and assist the government in making environmental decisions and development policies.
Suitable Land Assessment for Rice Crop in Burkina Faso Using GIS, Remote Sensing and Multi Criteria Analysis

In Burkina Faso, rice consumption is currently common and increasing in both, rural and urban areas. Although several efforts have been made by the state to develop land for rice cultivation, the population’s demand is still greater than the supply. Nevertheless, the country has great potential for rice cultivation. This study aims to analyze the suitability of land for rice cropping in the province of Nahouri. Field and satellite data were collected to map the rice crops developed areas. Furthermore, morphopedological, topographic, land use/cover, and accessibility to land data were collected and integrated into a Geographic Information System (GIS) based on simple Multi-Criteria Analysis (MCA). Land suitability for rice crop was performed. The results show that the total suitable area for rice cultivation in the province is 106,373 ha (28% of the province) where the most suitable areas cover 32,614 ha and the suitable areas cover 73,759 ha. Already 3144 ha of the province area had been developed for rice cultivation with 815 ha and 845 ha of most suitable and suitable areas respectively whereas more than 45% of the developed lands were not fit for the rice crop suitable land.
Manifestations and meanings of cognitive conflict among mathematics students in Embu, Kenya

Establishing how cognitive conflict is manifested by students is an important first step in understanding how teachers can utilize cognitive conflict to improve students' learning experiences. This paper presents findings from the analysis of qualitative data drawn from a larger study that explored the role of cognitive conflict in promoting students’ conceptual development in mathematics. The study participants were secondary school mathematics students and their teachers drawn from twenty-five public secondary schools in Embu West Sub-County in Kenya. Data were gathered through surveys and semi-structured interviews. The interviews were transcribed and coded, followed by organization of the codes into categories that were used to develop themes. The findings indicate that students experienced cognitive conflict in three significant ways: a moment to (co) construct one’s mathematical meaning, confusion as a result of teacher’s behaviorist stance, and a fleeting moment of magic. The paper recommends that teachers should take advantage of cognitive conflict as a strategy for scaffolding mathematics learning by giving students tasks that provoke critical thinking so that as students work on the tasks, their naive understandings of the concepts are challenged. Key words: Cognitive conflict, manifestations, mathematics, meanings, students learning.
Family and Conjugality: Perception of Happiness of Domestic Abusers

This research aimed to learn about the happiness perception of men with violent behavior, attended by a nucleus of assistance to victims of violence in the metropolitan region of Porto Alegre, RS, Brazil. For this, 16 men with restraining orders for assaulting their partners (Lei Maria da Penha 11.340/2006) were interviewed. This study involved descriptive research (qualitative approach), and data were analyzed using thematic content analysis. For the discussion, three subcategories related to Subjective Well-Being were organized into: conception of happiness, challenges in being happy, and attitudes required in being happy. The word "family" was referenced by abusers in all subcategories. When it comes to involving violence between intimate partners, this new approach intends to make men a part of the solution rather than just the problem.
Fluorinated Phenoxy Boron Subphthalocyanines in Organic Light-Emitting Diodes

Three fluorinated BsubPcs have been synthesized and characterized. Crystals suitable for XRD were grown by slow vapor diffusion and sublimation. Analysis of their crystal structures revealed a dimeric association of BsubPc units for F5BsubPc and columnar packing for F12BsubPc and F17BsubPc. Cyclic volatmmetry (CV) was used to probe the frontier orbital energy levels of these compounds in both dichloromethane and acetonitrile solution; however, only F5BsubPc underwent oxidative events, whereas all three compounds underwent reductive events. A −362 and −37 mV shift in the reductive peak potential was observed for peripheral and axial fluorination, respectively, as measured by cyclic voltammetry. Solution UV−vis absorption and photoluminescence spectra were measured in dichloromethane. All three compounds demonstrated air-stable n-type conductivity in single-carrier devices and extremely narrow orange EL emission with a fwhm of only ∼30 nm. F5BsubPc showed a maximum luminescence of 122 cd/m2 at 8 V, with a m.
Optimization and Quality Assessment of Baryon Pasting for Intracluster Gas using the Borg Cube Simulation

Synthetic datasets generated from large-volume gravity-only simulations are an important tool in the calibration of cosmological analyses. Their creation often requires accurate inference of baryonic observables from the dark matter field. We explore the effectiveness of a baryon pasting algorithm in providing precise estimations of three-dimensional gas thermodynamic properties based on gravity-only simulations. We use the Borg Cube, a pair of simulations originating from identical initial conditions, with one run evolved as a gravity-only simulation, and the other incorporating non-radiative hydrodynamics. Matching halos in both simulations enables comparisons of gas properties on an individual halo basis. This comparative analysis allows us to fit for the model parameters that yield the closest agreement between the gas properties in both runs. To capture the redshift evolution of these parameters, we perform the analysis at five distinct redshift steps, spanning from $z=0$ to $2$. We find that the investigated algorithm, utilizing information solely from the gravity-only simulation, achieves few-percent accuracy in reproducing the median intracluster gas pressure and density, albeit with a scatter of approximately 20%, for cluster-scale objects up to $z=2$. We measure the scaling relation between integrated Compton parameter and cluster mass ($Y_{500c} | M_{500c}$), and find that the imprecision of baryon pasting adds less than 5% to the intrinsic scatter measured in the hydrodynamic simulation. We provide best-fitting values and their redshift evolution, and discuss future investigations that will be undertaken to extend this work.
Molecular phylogeny of the limacoid snail family Dyakiidae in Southeast Asia, with the description of a new genus and species

Members of the terrestrial snail family Dyakiidae from Southeast Asia show a distinct geographical distribution pattern and possess different degrees of complexity in their amatorial organ gland. This study is the first molecular phylogeny of ten of the 12 genera in this family, performed to provide insights into the origin of Dyakiidae and the evolution of their shells and amatorial organ gland structure. A new genus and new species, Pseudoquantula lenticularis Jirapatrasilp & Panha gen. & sp. nov., was uncovered based on its distinct morphological characters and molecular divergence. All other genera were retrieved as monophyletic except for Dyakia. Mainland Southeast Asia was inferred to be the ancestral range of the Dyakiidae, and the lineages then dispersed to and diversified in Borneo. Cladistic analysis showed that all 14 morphological characters used in this study were homoplastic. These results disagree with the previous amatorial organ transformation series, in which neither Pseudoplecta nor Quantula was ancestral to the other genera. The enigmatic genus Pseudoplecta, which lacks an amatorial organ gland, exhibited secondary loss.
Adjoint sensitivity analysis of steady laminar flows with respect to nongeometrical parameters

This work explores an alternative approach to computing sensitivity (derivatives) of functionals with respect to a broader range of control parameters in fluid flow problems. It builds upon the complementary character of the boundary problems that underlie the flow and the corresponding adjoint equations. Such complementarity is used to ensure well‐posedness of the latter, which then yields a solution that conveys information on a broad range of sensitivities. This formulation of the boundary problem can extend the range of applications of the adjoint method to a host of new possibilities. The methodology is applied to internal and external laminar steady flows and the results are compared to those obtained with a finite‐difference approach. Good agreement is observed in all cases, which demonstrates the correctness and applicability of the method.
The Bureaucratic Political Relation Model in Perception of Officers Public: a Study on Bima City Government

The relationship between politics and bureaucracy is significant to observe because this concerns the interests of policymakers and stakeholders related to the politics of local government policies. In this regard, this study aims to describe the Political Relations Model Bureaucracy in the Perception of Public Officials (A Study at the Bima City Government). The approach in this research is descriptive qualitative. The results showed that the Relationship Model Bureaucratic Politics in the Perception of Public Officials (A Study at the Bima City Government) have interrelated and mutually supportive relationships both in formulating, implement and evaluate policies both political and administration towards the implementation of the public bureaucracy in the Bima City Government. Perception public officials concerning political intervention in carrying out activities bureaucracy are reflected in the process of development, administration, and technique as well as transfer and high employee rotation, institutional restructuring of the Bima City government bureaucracy as well The formulation of the Kota Bima Regional Financial Budgeting always occurs for political intervention interests of both public officials and career officials in running the wheel the government in the city of Bima.
Bioremediation of Diesel Oil Contaminated Soil by a Novel Isolated Potential Oil Degrading Staphylococcus argenteus MG2 Bacteria Using Bio Stimulation Method

The potential oil-degrading isolate Staphylococcus argenteus MG2 was used for bioremediation of oil-contaminated soil. Hydrocarbon degradation by the soil microorganisms was evaluated in a soil experimentally contaminated with diesel oil. The effects of six different biological treatments on hydrocarbon degradation were determined during a 50 days incubation period to evaluate biostimulation via inorganic fertilizers (NPK) or manure (compost) with and without inoculum of Staphylococcus argenteus MG2. Eight soil samples were used: (S) uncontaminated control soil; (CS) contaminated soil; (CSF) contaminated soil + N-P-K fertilizer; (CSC) contaminated soil + compost; (CSI) contaminated soil + Inoculum; (CSFI) contaminated soil + N-P-K fertilizer + Inoculum; (CSCI) contaminated soil + compost + Inoculum; (SCSCI) sterile (oil) contaminated soil + compost + Inoculum. Percentage of oil degradation during bioremediation treatment of 50 days was found to be (CS) 32%, (CSF) 70.80%, (CSC) 75%, (CSI) 84.40%, (CSFI) 91%, (CSCI) 93%, (SCSCI) 94% respectively. Results showed that not only inorganic nutrients NPK and compost stimulated hydrocarbon biodegradation but inoculation of Staphylococcus argenteus MG2 also enhanced hydrocarbon degradation. The microbial count was found to be higher in SCSCI soil sample. The germination percentage and growth of leguminous plant (Vigna radiata) in the treated soil was also notably greater. It may be concluded that the Staphylococcus argenteus MG2 bacteria possess remarkable oil-degrading properties and can be effectively employed in the bioremediation of oil-contaminated soils and can be used for agriculture purpose.
Social Media Inﬂuencer Advertising versus Advertising on Social Media Account of a Brand. Evidence from an Experimental Design

Nowadays, the relevance of advertising on social media is es- sential, especially for the young audience category for which traditional media is no longer a real consumer option. This paper aims to explore the differences in the efficiency of online advertising with and without the sup- port of a social media influencer. We conducted a two-level survey-based online between subjects experiment and we manipulate advertising on an influencer account versus advertising on a brand account on social me- dia without the support of the influencer. We compared the effects of the posts promoting Pantene shampoo on the Instagram account of a relevant Romanian beauty influencer Ioana Grama (335K followers) and the posts promoting the same product from the brand Romanian Instagram account (5K). The online survey was disseminated between April 4, 2020–May 7, 2020, to a young female population N=80 participants, age 16 to 32 years, that were randomly assigned in the two above mentioned groups. The stimulus included real posts in the questionnaire consisted of: Instagram posts of the Pantene Romania account for the “brand account” group and posts of the Romanian beauty influencer Ioana Grama for the “influencer” group. Results showed that advertising on influencer account is more effi- cient than advertising on the brand account regarding the effects on brand attitude.
The Gut Microbiome as a Promising Biomarker of Cancer Progression Among Female Never-smokers With Lung Adenocarcinoma

Background: The gut microbiome plays an important role in the immune system and has attracted attention as a biomarker of various diseases, including cancer. As such, we examined the relationship between the gut microbiome and lung cancer progression. In addition, we assessed the correlation between the gut microbiome and epidermal growth factor receptor (EGFR) mutation status.Methods: Female never-smokers diagnosed with lung adenocarcinoma were consecutively and prospectively enrolled between May 2018 and August 2019. Fecal samples were collected within 1 month before or after diagnosis and before administration of any lung cancer treatment. Principal coordinate analyses were retrospectively performed using Bray-Curtis distance matrices to investigate the effects of clinical variables (age, body mass index, Tumor-Node-Metastasis stage, T category, N category, M category, primary tumor size, performance status, and EGFR mutation status) on the gut microbial community. A correlation analysis was also performed to determine the strength of association between the dominant taxonomy (comprising ≥1% of the relative abundance of bacterial DNA sequences) and clinical variables.Results: A total of 37 patients were enrolled. T category and primary tumor size were significantly correlated with the gut microbial community (p=0.018 and 0.041, respectively). At the genus level, a significant positive correlation was observed between the relative abundance of Faecalibacterium and both T category (correlation coefficient, R=0.51, p=0.0013) and primary tumor size (R=0.37, p=0.024), whereas a significant negative correlation was observed between the relative abundances of Fusicatenibacter and Bacteroides and T category (R=−0.35, p=0.034 and R=−0.32, p=0.05, respectively) and primary tumor size (R=−0.36, p=0.029 and R=−0.41, p=0.012, respectively). EGFR mutation status had no statistically significant effect on the gut microbial community (p=0.11). However, the relative abundances of Bifidobacterium and Faecalibacterium were significantly higher in EGFR mutation–negative patients than EGFR mutation–positive patients (p=0.012 and 0.041), whereas the relative abundance of Blautia was significantly lower in EGFR mutation–negative patients (p=0.036). Conclusions: This is the first study identifying the gut microbiome as a promising biomarker of lung cancer progression. Further elucidation of the role of the gut microbiome in lung cancer progression could facilitate development of new treatments for lung cancer.
Dynamics of linear and branched alkane melts: Molecular dynamics test of theory for long time dynamics

Molecular dynamics (MD) simulations of united atom models for alkane melts are compared with a recently developed theory for calculating the memory functions of flexible polymers. The theory is based upon an approximate solution of the diffusion equation without hydrodynamic interactions. The polymer dynamics are described by using time correlation functions which are expressed in terms of a set of equilibrium averages and the approximate eigenvalues and eigenfunctions of the diffusion operator. For flexible enough chains with sufficiently high molecular weight, the hydrodynamic interactions are screened, and the simplified solvent model used by the theory is expected to be adequate. The only parameter not defined by the MD simulations is the bead friction coefficient ζ. In the limit of weak hydrodynamic interactions (Rouse dynamics), ζ can be determined from the molecular diffusion coefficient by applying the Rouse relation D=kT/NζR. Given this choice of ζR, the time correlation functions computed from t.
Microfluidic patterning using a digital microfluidic system

There are some issues in printing technology, such as stencils having a brief life span and limitations in patterning; therefore, we propose microfluidic patterning using an electrowetting-on-dielectric (EWOD) and liquid-dielectrophoresis (L-DEP) system. Propylene carbonate liquid was generated, moved, separated, and positioned, and was patterned into various English alphabetic characters. Unlike traditional printing techniques, patterns become limited and fixed, so the shape of the desired pattern cannot be modified arbitrarily. Each single English alphabetic pattern can be formed with a volume of droplet of about 100 nl; the width of the pattern can be decreased to about 0.15 mm or less. Using an EWOD system, we have implemented an open-plate L-DEP system and a two-plate L-DEP system, for the patterning of all English alphabetic characters with the same volume of liquid at a fixed voltage.
Fake Twitter Account Classification of Fake News Spreading Using Naïve Bayes

Twitter is a very popular microblog, where users can search for various information, current news, celebrity posts, and hot topics. Indonesia is ranked 5th for the most Twitter users. The large number of users makes Twitter used for the benefit of certain parties with bad goals, such as spreading fake news using fake accounts. Fake accounts are often used by several parties to spread fake news, therefore the spread of fake news must be immediately limited to minimize the negative impact caused by fake news. For this reason, this research is written with the aim of being able to classify fake and genuine Twitter accounts. In this study, using data mining techniques that are closely related to big data in decision making by applying the Naive Bayes method. Naive Bayes is one of the most widely used classification methods because it has good accuracy and faster computation time. The classification process uses nine parameters, namely based on the Profile Created, Favorite Count, Follower Count, Following Count, Geo Enabled, Follower Rate, Following Rate, Follower Following Ratio, Verified. This study uses 210 datasets of twitter accounts that spread fake news, the result is that Naive Bayes works very promising in the classification of fake twitter accounts and in the testing process using 5% of training set produces an accuracy of 80%.