Miracle-dz/UniFAR-FTUs huggingface dataset:
Marketing Mix Factors Influencing the Purchase Decision of Big Bike Motorcycle in Phra

The sales of the Covid-19 epidemic situation directly affected motorcycles. The researcher studied the marketing mix factors influencing the decision to buy a big bike motorcycle in Phra Nakhon Si Ayutthaya Province. The objectives were 1) to study the factors of the marketing mix (7P's). 2) To study the decision to buy a big bike motorcycle. 3) To study the factors of the marketing mix that influence the decision to buy a big bike motorcycle in Phra Nakhon Si Ayutthaya Province. This research was a quantitative study. The sample was a population of 390 people interested in big bike motorcycle in Phra Nakhon Si Ayutthaya Province. The research tool was a questionnaire. We collected data using simple random sampling. The statistics used to analyze the data are frequency, percentage, mean, standard deviation, and multiple regression analysis. The results showed that the overall marketing mix was high ( X =4.21, S.D.=0.61), the opinions on product factors were high ( X = 4.32, S.D. =0.48), and the respondents' opinions were high ( X =3.89, S.D.=0.76). The results of the study on the purchase decision because of the reasonable price, the opinions of the respondents were high ( X =4.10, S.D.=0.87). The market mix factor of the respondents' 7P's (independent variable) could predict the dependent variable at 15.70%. An Adjusted R square (R) of 0.586 showed that the marketing mix of 7P's significantly influenced the decision to buy a big bike motorcycle of consumers in Ayutthaya at the 0.05 level. The entrepreneurs could apply the results to their marketing strategy planning and create a competitive advantage in the same business. The research results have indicated as follows: 1. The decision to buy a big bike motorcycle in Phra Nakhon Si Ayutthaya Province was high ( X =3.89, S.D.=0.76). The most important factor was the purchase decision as the reasonable price was high ( X =4.10, S.D.=0.87). 2. Marketing mix factor (7P's) of respondents, we could combine independent variables to forecast dependent variables at 15.70 percent.
Study and optimization of a parallel hydraulic hybrid system for heavy vehicles

The parallel hydraulic hybridization, thanks to its simplicity and high specific power, is a suitable solution for the retrofitting of off-highway vehicles subject to work cycles with frequent stop-and-go. This work is focused on the potential of the low-cost parallel hybrid solutions, i.e. characterized by current-technology components, for a specific class of heavy vehicles: city buses. After functional sizing, the hybrid vehicle was modelled and simulated in the Amesim environment. The comparison with the non-hybridized reference vehicle highlighted an interesting consumption reduction, which in any case varies with the type of route. Finally, an optimization of the hybrid vehicle was carried out by means of genetic algorithms, which led to a further, and not negligible, consumption reduction compared to the hybridized version. Optimization, therefore, can be seen as a tool to overcome those minimum benefit thresholds that manufacturers consider as necessary for the industrialization and marketing of new energy recovery systems.
Learning to Explore Paths for Symbolic Execution

Symbolic execution is a powerful technique that can generate tests steering program execution into desired paths. However, the scalability of symbolic execution is often limited by path explosion, i.e., the number of symbolic states representing the paths under exploration quickly explodes as execution goes on. Therefore, the effectiveness of symbolic execution engines hinges on the ability to select and explore the right symbolic states. In this work, we propose a novel learning-based strategy, called Learch, able to effectively select promising states for symbolic execution to tackle the path explosion problem. Learch directly estimates the contribution of each state towards the goal of maximizing coverage within a time budget, as opposed to relying on manually crafted heuristics based on simple statistics as a crude proxy for the objective. Moreover, Learch leverages existing heuristics in training data generation and feature extraction, and can thus benefit from any new expert-designed heuristics. We instantiated Learch in KLEE, a widely adopted symbolic execution engine. We evaluated Learch on a diverse set of programs, showing that Learch is practically effective: it covers more code and detects more security violations than existing manual heuristics, as well as combinations of those heuristics. We also show that using tests generated by Learch as initial fuzzing seeds enables the popular fuzzer AFL to find more paths and security violations.
Effect of undergraduate student age on work-integrated learning preparation and experience

Work-integrated learning (WIL) is a strategy to create effective talent pools and meet business needs for competent and work-ready graduates. There are limited empirical studies on how WIL student demographic profiles (i.e., age) may affect the effectiveness of WIL projects and learning experience. Guided by the research question: Does undergraduate student age affect WIL preparation and experience? A survey was conducted through a quantitative approach among final year undergraduate students who participated in the WIL programme. Sixty-six copies of the questionnaire were distributed, forty retrieved and consider valid for further analysis. Data were analysed using descriptive and inferential statistics. Findings show that age could be an important factor in a student's WIL experience. Students in the age group of 21 years may have better WIL experiences than younger or older WIL students. Although age is not considered a major factor in determining overall WIL experiences, student demographical information is important for successful WIL projects. Findings further show that WIL preparation is an important factor towards better WIL project outcomes and enhanced student experiences. This paper adds to the body of knowledge on WIL student demographic considerations and creates awareness that student demographics must be considered if WIL projects are to be successful.
A Prospective Observational Study To Assess The Neonatal Outcomes Of Eclamptic Mothers In A Tertiary Hospital

Aim: to identify and assess the significance of the neonatal outcomes of eclamptic mothers. Material and methods: This prospective observational study was carried out in the Department of Obstetrics and Gynecology, Anugrah Narayan Magadh Medical College and Hospital Gaya, Bihar, India for one year. The study comprised newborn babies born to 100 consecutive mothers admitted with eclampsia or with pre-eclampsia but subsequently developing eclampsia along with those born to 100 consecutive non-eclamptic mothers (considered as control) with normal BP. Results: The majority of eclamptic mothers were primigravida (88%), <20 years of age (65%), non-tribals (80%), having body weight of mean 41.22±5.12 kg, height of mean 147.28±6.27cm, and socioeconomic status of Class IV (90%). There was no significant difference observed in respect of age, weight, height, religion, caste, parity, and socioeconomic status between eclamptic and control mothers and thus, the two groups were statistically matched. Outcome in newborns of eclamptic mothers was significantly more adverse (p<0.001) than in non-eclamptic mothers (75 vs. 47; odds ratio [OR]=3.151, 95% confidence interval [CI]=1.752–5.636). In this study, four significant neonatal outcomes of eclamptic mothers were observed as preterm (OR=3.101, 95% CI=1.572–5.822, p=0.001), LBW (OR=3.177, 95% CI=1.765–5.712, p<0.001), IUGR (OR=4.397, 95% CI=1.212– 16.129, p=0.028), and birth asphyxia (OR=2.471, 95% CI=1.228–4.878, p=0.014) while other outcomes as hypoxicischemic encephalopathy (HIE) (OR=4.521, 95% CI=0.942– 21.965, p=0.077), EOS (OR=2.541, 95% CI=0.753–8.498, p=0.236), END (OR=2.711, 95% CI=0.531–14.436, p=0.411), and stillbirth (OR=2.366, 95% CI=0.721–7.965, p=0.247) were not significant. Only live born babies were considered for the statistical study of birth asphyxia, HIE, EOS, and END. Conclusion: We concluded that the eclampsia is an important cause of significant neonatal morbidity in terms of prematurity, LBW, IUGR, and birth asphyxia. It is a significant risk factor for late preterm births as well.
Genetic variability and correlation in maize inbred lines under irrigated and moisture stress condition

Maize, one of the most widely grown cereals in the world and is called as queen of cereal due to its productivity. The experiment was conducted to assess the extent of genetic variability and correlation for yield and its attributing traits under irrigated and moisture stress conditions (stress imposed during flowering stage) at two locations viz., Department of Millets, TNAU, Coimbatore and Maize Research Station, Vagarai. A total of thirteen biometrical parameters were recorded. High values of GCV, heritability and genetic advance per cent, respectively was noted for the traits Anthesis Silking Interval (ASI) (36.51,78.51 & 66.63%), number of kernels per row (29.08, 80.50 & 53.75%), hundred grain weight (28.54, 82.16 & 53.29%) and yield (21.37, 73.85 & 37.83%) under irrigated condition, and the traits cob yield (29.78, 71.49 & 51.87%), ASI (29.03, 72.52 & 50.93%), hundred grain weight (26.86, 80.76 & 49.73%) and cob placement height (21.34,78.75 & 39.01%) under stress condition. This indicates that the selection based on these traits may be influenced by additive gene action and would be quite effective. The correlation analysis revealed a positive association of the traits hundred grain weight (0.592, 0.536), number of kernels per row (0.430, 0.397), number of kernel rows per cob (0.415, 0.382) and plant height (0.303, 0.316) with grain yield under both ecosystems (irrigated and moisture stress) and these traits can be given importance while the selection of promising individuals for grain yield. Days to 50% per cent tasseling (-0.496, -0.240) and silking (-0.565, -0.358) recorded significant negative association with yield and it can be used for the development of early duration lines. Further the significant negative ASI could be exploited to develop drought tolerant inbred lines in maize.
Method for absolute quantification of short chain fatty acids via reverse phase chromatography mass spectrometry

Short chain fatty acids (SCFAs; including acetate, propionate, and butyrate) are an important class of biological molecules that play a major role in modulating host-microbiome interactions. Despite significant research into SCFA-mediated biological mechanisms, absolute quantification of these molecules in their native form by liquid chromatography mass spectrometry is challenging due to their relatively poor chromatographic properties. Herein, we introduce SQUAD, an isotope-based strategy for absolute quantification of SCFAs in complex biological samples. SQUAD uses aniline derivatization in conjunction with isotope dilution and analysis by reverse-phase liquid chromatography mass spectrometry. We show that SQUAD enables absolute quantification of biologically relevant SCFAs in complex biological samples with a lower limit of detection of 40 nM and a lower limit of quantification ranging from 160 nM to 310 nM. We observed an intra- and inter-day precision under 3% (relative standard deviation) and errors in intra- and inter-day accuracy under 10%. To demonstrate this quantification strategy, we analyzed SCFAs in the caecal contents of germ free versus conventionally raised specific pathogen free (SPF) mice. We showed that acetate was the most abundant SCFA in both types of mice and was present at 200-fold higher concentration in the SPF mice. We also illustrated the use of our quantification strategy in in vitro microbial cultures from five different species of bacteria grown in Mueller Hinton media. This study illustrates the diverse SCFA production rates across microbial taxa with acetate production serving as one of the key differentiating factors across the species. In summary, we introduce an isotope dilution strategy for absolute quantification of aniline-dativized SCFAs and illustrate the utility of this approach for microbiome research.
Personality Disorders: Current Scientific Status and Ongoing Controversies

Lilienfeld, S. O. , & Latzman, R. D. (2018). Personality disorders: Current scientific status and ongoing controversies. In J.N Butcher (Ed.), APA Handbook of Psychopathology: Psychopathology: Understanding, assessing, and treating adult mental disorders (pp. 557-606). Washington, DC: American Psychological Association.
Lipoxygenase Enzymes, Oligosaccharides (Raffinose and Stachyose) and 11sA4 and A5 Globulins of Glycinin Present in Soybean Meal Are Not Drivers of Enteritis in Juvenile Atlantic Salmon (Salmo salar)

Soybean meal has been largely investigated and commercially used in fish nutrition. However, its inclusion levels have been carefully considered due to the presence of antinutritional factors, which depending on a series of factors might induce gut inflammation damaging the mucosal integrity and causing enteritis. Several strategies including genetic engineering have been applied attempting to reduce or eliminate some of the antinutritional factors. Accordingly, we assessed the intestinal health of juvenile Atlantic salmon fed high levels of speciality soybean genotypes with reduced-to-no content amounts of lipoxygenases, altered glycinin profile and reduced levels of oligosaccharides. No major signs of enteritis, only indication of enteritis progression, was noticed in the soybean meal-based diets illustrated by mild changes in distal intestine morphology. Whereas fish, fed fishmeal control feeds, displayed normal distal intestine integrity. Speciality soybean types did not improve intestinal health of juvenile Atlantic salmon suggesting these antinutrients are not drivers of the intestinal inflammatory process in this species. No additional benefits in terms of production performance or blood biochemistry were noticed in the speciality soybean types compared to the traditional soybean.
Thermochemical CO2 Hydrogenation to Single Carbon Products: Scientific and Technological Challenges

Catalytic conversion of CO2 to chemicals and fuels is a “two birds, one stone” approach toward solving the climate change problem and energy demand–supply deficit in the modern world. Recent advances in mechanistic insights and design of suitable catalysts for direct thermocatalytic hydrogenation of CO2 to C1 products are thoroughly discussed in this Review. The role of catalyst composition and process conditions in determining the selective pathways to various products like carbon monoxide, methanol, methane, and dimethyl ether has been overviewed in light of thermodynamic and kinetic considerations. After extensive elaboration of the main motivation of the reaction pathways, catalytic roles, and reaction thermodynamics, we summarize the most important macroscopic aspects of CO2 hydrogenation technology development, which include reactor innovations, industrial status of the technology, life cycle assessment and technoeconomic analysis. Finally, a critical perspective on the future challenges and opportu.
Pelagic Barite

Reconstruction of ocean paleoproductivity and paleochemistry is paramount to understanding global biogeochemical cycles such as the carbon, oxygen, and sulfur cycles and the responses of these cycles to changes in climate and tectonics. Paleo-reconstruction involves the application of various tracers that record seawater compositions, which in turn may be used to infer oceanic processes. Several important tracers are incorporated into pelagic barite, an authigenic mineral that forms in the water column. Here we summarize the utility of pelagic barite for the reconstruction of export production and as a recorder of seawater S, O, Sr, Ca, and Ba.
The Longevity of Small Family Businesses in Historical Narratives of Their Members

Objetivo do estudo: O objetivo desta pesquisa foi compreender a longevidade de pequenas empresas familiares a partir de memórias de seus integrantes.Metodologia/abordagem: O método foi o de narrativas históricas e a coleta de dados ocorreu por meio de entrevistas do tipo narrativas. Os sujeitos da pesquisa foram, para cada uma das empresas, um dos fundadores, um sucessor e o funcionário mais antigo. Os dados foram analisados de acordo com a análise estrutural.Originalidade/Relevância: A pesquisa mostrou a trajetória de pequenas empresas longevas com foco diferente de abordagens lineares predominantes no estudo da temática. Principais resultados: Os resultados apontaram diferentes trajetórias de pequenas empresas familiares longevas. No primeiro caso, foram identificados três momentos de mudança, que resultaram em crescimento, declínio e continuidade. No segundo caso, foram observados dois momentos: o de consolidação e o de crescimento. Os resultados mostraram ainda a importância da sucessão familiar para empresas longevas. Contribuições teóricas/metodológicas: A utilização de narrativas históricas e da história oral no estudo de pequenas empresas longevas representa uma contribuição desta pesquisa, evidenciando aspectos associados à longevidade em pequenas empresas familiares, como a relevância da sucessão. No campo de pequenas empresas, o estudo mostrou que longevidade não é diferente de crescimento e que diferentes trajetórias podem configurar a longevidade.
Sistem Informasi Transportasi Angkutan Kota Berbasis WEB

Di lingkungan perkotaan angkutan umum merupakan sarana transportasi yang dibutuhkan masyarakat. Belum adanya informasi tentang jalur angkutan kota, menyebabkan masyarakat kesulitan menentukan angkutan kota yang sesuai dengan tujuan yang diinginkan. Tujuan dari penelitian ini adalah terwujudnya sistem informasi transportasi angkutan kota berbasis web, yang bermanfaat untuk memudahkan pengguna dalam mendapatkan informasi tentang jalur angkutan kota. Penelitian juga bermanfaat bagi instansi Direcçao Nasional de Transportes Terestres (DNTT) dalam meningkatkan pelayanan kepada masyarakat. UML (Uni ed Modeling Language) digunakan dalam melakukan pemodelan sistem, yang terdiri dari Use Case Diagram, Activity Diagram, Squence Diagram dan Class Diagram. Hasil penelitian menunjukkan bahwa sistem informasi transportasi angkutan kota, dapat membantu memudahkan pengguna untuk mendapatkan informasi rute dan trayek Angkutan Kota. Website tersebut membantu instansi DNTT (Direccao Nacional Trasporte Terestre) untuk memberikan informasi, sehingga memudahkan masyarakat dalam mencari rute dan trayek sesuai dengan tujuan yang dinginkan.
Survival outcomes and prognostic factors for ascending nasopharyngeal carcinoma (T4N0-1) receiving radiation therapy combined with chemotherapy: a population-based study from SEER database.

Purpose This study aims to investigate survival outcomes and prognostic factors for upward nasopharyngeal carcinoma (NPC) patients receiving radiation therapy (RT) combined with chemotherapy (CT). Methods A total of 421 previously untreated, newly diagnosed T4N0-1 NPC patients, who were identified within the Surveillance, Epidemiology, and End Results (SEER) registry (years 2004–2015), were collected and retrospectively reviewed. All patients received treatment of RT and CT. Kaplan-Meier analysis was used to evaluate overall survival (OS) and cancer-specific survival (CSS). The differences in OS and CSS were compared using Log-rank test. The independent prognostic factors were established by using univariate and multivariate Cox proportional hazard models. Results With a median follow-up duration of 37 months (range: 3-154 months), the 5-year estimate OS and CSS rates were 59.3% and 63.7%, respectively. N0 and ≥ 65 years were poor prognostic factors for OS and CSS. Moreover, histology and race were associated with OS and CSS. Univariate analysis indicated that ≥ 65 years, N0, NHB and grade III were unfavorable independent prognosticators of OS and CSS. Multivariate analysis demonstrated that ≥ 65 years, N0 and NHB were correlated with poor OS and CSS. Conclusion Patients with stage T4N0-1 NPC receiving RT plus CT had favorable OS and CSS. Moreover, age, N stage and race were independent prognostic factors of OS and CSS.
Memory of Former Beliefs May Affect the Single Belief Formation Process

Belief is an attitude toward a proposition. Current studies suggest that single belief formation is an active process. The key step in the belief formation process is information-seeking. Multiple sites of the brain play an important role in motivating individuals to seek information such as cortico-basal ganglia neural networks, neural systems for reward prediction errors, and orbitofrontal cortex. Based on previous studies, the information is processed by single neurons in higher areas of the brain. It can be assumed that some features of belief are encoded as information in memory. We hypothesize there can be a relationship between former beliefs and formation of new beliefs.
Analysis of exhaled air for early-stage diagnosis of lung cancer: opportunities and challenges

Early detection of lung cancer usually markedly increases the efficiency of therapy. However, the currently employed diagnostic approaches are not sufficiently effective, resulting in late detection of the disease and high patient mortality. Therefore, development of a high-throughput and reliable diagnostic method is a priority task requiring fast solution. Analysis of exhaled air for a number of organic compounds recognized as lung cancer biomarkers seems to be a promising approach for early diagnosis of the disease. This issue attracts growing interest, as indicated by increasing number of publications on this topic. This review surveys contemporary analytical techniques for analysis of exhaled air, including various spectroscopic and mass spectral methods and also gas sensor-based methods. The key benefits and shortcomings of the techniques, sample injection and pre-concentration methods, and the potential applicability of the methods for lung cancer detection are discussed. The prospects of simultaneous application of several analytical techniques and approaches for the early diagnosis are demonstrated. The bibliography includes 147 references.
Surface soil moisture inversion based on defs-ga-bp model using sentinel-1/2 remote sensing data

The major work is to retrieve the surface soil moisture under crop cover in this paper. This paper proposes an improved GA-BP model called as DEFS-GA-BP model. This model is proposed to retrieve the surface soil moisture distribution using Sentinel-1 and Sentinel-2 remote sensing data. After extracting nine polarization features and one roughness parameter from Sentinel-1 data, five vegetation indexes from Sentinel-2 data. The differential evolution feature selection (DEFS) algorithm is applied to select the optimal feature subset. By using the genetic algorithm (GA) to optimize the node weights, the back propagation (BP) neural network is trained using the optimal feature subset and then used to generate the surface soil moisture distribution. The results of inversion algorithm indicate that the proposed DEFS-GA-BP model has a better inversion precision than GA-BP model, and demonstrates its application potential in surface soil moisture inversion.