Miracle-dz/UniFAR-FTUs huggingface dataset:
The influence of challenge research stressors on research creativity among Chinese doctoral students: a mediated moderation model

The research creativity of doctoral students is not solely fueled by their intrinsic motivation, but also thrives in an environment that offers challenging research opportunities, substantial support, and feedback from significant others. Based on the job demands-resources model, this study aims to explore the impact of challenge research stressors on the research creativity of Chinese doctoral students. A mediated moderation model was constructed to examine the mediating effect of achievement motivation and the moderating effect of supervisor developmental feedback on the relationship between challenge research stressors and research creativity. A total of 538 valid questionnaires were collected from doctoral students using convenience sampling and snowball sampling. The questionnaires included the Challenge Research Stressors Scale, the Research Creativity Scale, the Achievement Motivation Scale, and the Supervisor Developmental Feedback Scale. Regression analyses, bootstrap testing, and simple slope analyses were used to estimate the various relationships. The findings indicated that challenge research stressors had a positive effect on doctoral students’ research creativity. Supervisor developmental feedback positively moderated the impact of challenge research stressors on the achievement motivation and research creativity of doctoral students. Achievement motivation partially mediated the influence of challenge research stressors on doctoral students’ research creativity, and further fully mediated the interaction effect of challenge research stressors and supervisor developmental feedback on doctoral students’ research creativity. These findings contribute not only to our understanding of the mechanisms and boundary conditions through which challenge research stressors impact the research creativity of doctoral students, but also provide valuable insights into how to stimulate and maintain their research creativity.
Estimation of formation temperature and thermal property from dissipation of heat generated by drilling

Dissipation of heat generated in the process of drilling depends upon the physical properties and condition of the rock and drilling mud, drilling rate and duration, mud circulation rate, casing, and depth of penetration. By treating the initial condition as an instantaneous temperature drop near the bottom of a drill hole, an analytical solution is obtained to show drilling‐induced heat dissipation. Two graphical methods are presented and illustrated with examples to determine, from transient temperature measurements, the equilibrium formation temperature as well as insitu thermal conductivity ratio and diffusivity of rock and drilling mud. One method requires the measurement of initial mud temperature Tm, while the other method requires knowing the thermal diffusivity of drilling mud κ1. Either Tm or κ1 can also be estimated with the trial‐and‐error procedure. A finite‐element analysis is further developed to handle thermal disturbance for the case where the temperature drop is not necessarily instantan.
A Case Study on Coupling Interaction between Plateau and Southwest Vortexes

The evolution of southwest vortex and the occurrence of heavy rain caused by the coupling interaction between Plateau and southwest vortexes during the period of 26～28 July 1982 are diagnosed. The results show that, when the Plateau vortex moving eastward near 100°E, the positive vorticity advection and the negative unbalanced force in the east part of the Plateau vortex on 500 hPa imposed on 850 hPa southwest vortex occurred the vertical superposition. The coupling interaction between both the vortexes leads to the development of the southwest vortex and the occurrence of heavy rain.
Examining the Development of K-12 Students’ Cognitive Presence over Time: The Case of Online Mathematics Tutoring

In this article, we focus on the cognitive presence element of the Community of Inquiry (CoI) framework. Cognitive presence consists of four categories: Triggering Event, Exploration, Integration, and Resolution. These categories have been described as phases following an idealized logical sequence, although the phases should not be seen as immutable. Few studies have empirically examined how the four categories develop over time during the inquiry process. This article uses learning analytics methods to study transitions between the categories in K-12 online mathematics tutoring. It was statistically most probable that the tutoring sessions started with Triggering Event (95%) and then transitioned to Exploration (51%). The transitions from Exploration to Integration (18%) and Integration to Resolution (21%) achieved statistical significance but were less likely. In fact, it was more likely that the tutoring sessions transitioned from Integration to Exploration (39%) and Resolution to Exploration (36%). In conclusion, the findings suggest that the idealized logical sequence is evident in the data but that other transitions occur as well; especially Exploration recurs throughout the sessions. It seems challenging for students to reach the Integration and Resolution categories. As the CoI framework is commonly adopted in practice, it is important that tutors and educators understand that the categories of cognitive presence will often not play out in idealized ways, underlining their role in supporting how the inquiry process unfolds. In order to gain an improved understanding of the inquiry process, future research is suggested to investigate how the presences and categories of the CoI framework develop over time in different educational settings.
‘It’s my virtual space’: the effect of personalized advertising within social media

Abstract In this research, we investigate consumer responses to personalized advertising on social media by employing the theory of psychological ownership. We conducted two online experiments on Instagram and Facebook with MTurk and samples from college students, respectively. Study 1 reveals the adverse effects of personalization on activating the perception of psychological ownership, the perception of advertising relevance, positive attitudes toward advertising, and behavioral intention. The negative impacts of personalization on attitude toward advertising and behavioral intention are mediated by the sequential perception of psychological ownership and advertising relevance and further moderated by consumers’ privacy concerns. Additionally, we identified three motivational drivers that underlie the personalization effect on psychological ownership. Study 2 demonstrates advertising type as another moderator, reporting the negative effects of personalization arising only for banner ads, not native ads, through the mediation of perceived advertising relevance. Our findings suggest that while personalization in social media advertising can diminish consumer feelings of psychological ownership, leading to less favorable advertising outcomes, these effects can be mitigated with strategic approaches addressing consumer concerns over privacy and by considering advertising type.
The Garki project: Research on the epidemiology and control of malaria in the Sudan savanna of West Africa

The authors examine the epidemiology of malaria in the lowland rural savanna of Sudan using data obtained from a joint study carried out between 1969 and 1976 by the World Health Organization and the government of Nigeria. The measurement and relationship of entomological parasitological and seroimmunological variables are analyzed as are some demographic and clinical variables. A mathematical model of the transmission of malaria is constructed and tested in order to compare alternative control strategies and calculate their expected effects (ANNOTATION)
The Impact of Clinical Prognosis of Viral Hepatitis in Head and Neck Cancer Patients Receiving Concurrent Chemoradiotherapy

This study evaluated the clinical characteristics of head and neck cancer (HNC) patients with hepatitis B (HBV) or hepatitis C (HCV) who underwent concurrent chemoradiotherapy (CCRT) and examined the prognostic impact of antiviral therapies. In a 19-year retrospective analysis of 8224 HNC patients treated with CCRT, 29.8% (2452) were diagnosed with HBV or HCV, of whom 714 received antiviral therapy. For non-metastatic HNC patients on CCRT, factors such as gender, Charlson Comorbidity Index (CCI), liver cirrhosis markers (Fibrosis-4, APRI), and initial tumor stage were significant determinants of their overall survival. However, the presence of HBV or HCV and the administration of antiviral treatments did not yield distinct survival outcomes. In summary, antiviral therapy for HBV or HCV did not affect the 5-year survival rates of non-metastatic HNC patients undergoing CCRT, while gender, tumor stage, CCI, and liver cirrhosis were notable prognostic indicators.
Tourist Hotel General Managers in Korea: A Profile. Sang Mu Kim. International Journal of Hospitality Management, vol. 13, no. 1, pp. 7-18. Elsevier Science Inc., 660 White Plains Road, Tarrytown, NY 10591-5153. $245 annual subscription

tions, and its competitive component, resulting from regional, local, and unique factors affecting its occupancy performance. Competitive occupancy performance is further disaggregated into unique, common, systematic, derived, and local components. The model is fitted to daily occupancy from a national sample of over 700 hotels. Some of the empirical results are presented, but attention is focused on the application of the model in monitoring and marketing hotels.
GNPENet: A Novel Convolutional Neural Network With Local Structure for Fault Diagnosis

With the development of modern industry, fault diagnosis has become an important research field. Currently, many methods for fault diagnosis have been proposed. As a method designed to overcome the high computational complexity of the convolutional neural network (CNN), PCANet is also used in the field of fault diagnosis. The core algorithm of the PCANet is the principal component analysis (PCA) algorithm. However, PCA is a global dimensionality reduction method, which cannot effectively analyze the local spatial geometry structure of data and may even weaken or destroy the local structure information. Furthermore, algorithms based on L2-norm are very sensitive to noise and outliers. To address the problems, a generalized neighborhood preserving embedding (GNPE) method based on Lp-norm is first proposed, and it is used to learn the convolutional filters of CNN. In this way, a novel CNN with local structure is proposed, called the GNPE Network (GNPENet). We conduct fault diagnosis experiments on five datasets of three types and comprehensively evaluate the proposed GNPENet method. The experimental results show that, compared with some state-of-the-art models, GNPENet has better feature extraction and generalization capabilities.
Research Investigating Lexical Coverage and Lexical Profiling: What We Know, What We Don’t Know, and What Needs to be Examined

Studies of lexical coverage are valuable because they reveal the importance of vocabulary knowledge to comprehension. Lexical profiling research is also extremely useful because it indicates the vocabulary knowledge necessary to understand different text types such as novels, newspapers, academic lectures, television programs, and movies. Moreover, lexical profiling research provides teachers and learners with concrete vocabulary learning targets that students can seek to achieve and evaluate their knowledge against. However, there are only three studies that have precisely investigated the effects of lexical coverage on reading comprehension (Hu & Nation, 2000; Laufer, 1989; Schmitt et al., 2011), two that have directly investigated its effects on listening comprehension (Bonk, 2000; Van Zeeland & Schmitt, 2013), and one that has done this for viewing comprehension (Durbahn et al., 2020). With few studies and few variables that may affect comprehension examined, discussions of the generalizability of lexical coverage findings are likely overstated. The aim of this article is to clarify earlier research findings and highlight areas where further research is needed.
Genomic profiling and immune landscape of olfactory neuroblastoma in China

Background Olfactory neuroblastoma (ONB) is a rare malignant neoplasm of the olfactory mucosa. The paucity of genomic data has prevented the development of individualized ONB treatments. Here, we investigated the genomic and immune landscape of ONB in Chinese patients. Methods Whole exome sequencing (WES) and multiplex immunofluorescence (MIF) analysis were performed on tissue samples from 19 Chinese ONB patients. Patients were divided into low- and high-grade groups. Results Overall, 929 nonsynonymous alterations were identified in 18 (94.74%) ONB cases. The most prevalent altered cancer-related genes were CTNNB1 (16%) and ZNRF3 (16%). The most mutated oncogenic pathways were the WNT and RAS pathways. The median tumor mutation burden (TMB) was 0.45, ranging from 0 to 3.25. Only one case expressed PD-L1 (> 1%) in the tumor region. The percentage of CD8+ tumor-infiltrating lymphocytes (TILs) in the tumor region ranged from 0.03% to 84.9%, with a median of 1.08%. No significant differences were observed between the low- and high-grade groups for clinicopathological features, mutant genes, mutant pathways, TMB, tumor neoantigen burden (TNB), mutant-allele tumor heterogeneity (MATH), PD-L1 expression levels, or CD8+ TIL percentage. However, the low-grade group showed significantly more CD68+ macrophages in both the tumor and total region than the high-grade group. Notably, CD68+CD163- macrophages accounted for an average of 80.5% of CD68+ macrophages. Conclusion This study presents data on the genomic and immune landscape of ONB cases in China. CTNNB1 and ZNRF3 were the most prevalent altered cancer-related genes. The results of TMB, PD-L1, and CD8+ Tils suggest that ONB may be insensitive to immunotherapy. M1 macrophages may be positively associated with the prognosis of ONB. Implications for Practice In this study, the most prevalent altered cancer-related genes were CTNNB1 (16%) and ZNRF3 (16%). The most mutated oncogenic pathways were the WNT and RAS pathways. The median tumor mutation burden (TMB) was 0.45, ranging from 0 to 3.25. Only one (1/15) case expressed PD-L1 (> 1%) in the tumor region. However, the low-grade group showed significantly more CD68+ macrophages in both the tumor and total region than the high-grade group. The higher level of CD68-related macrophages indicates that M1 macrophages potentially play an important role in ONB development that is possibly associated with prognosis.
Efflux pump inhibitors (EPIs) as new antimicrobial agents against Pseudomonas aeruginosa

Pseudomonas aeruginosa is an opportunistic human pathogen and one of the leading causes of nosocomial infections worldwide. The difficulty in treatment of pseudomonas infections arises from being multidrug resistant (MDR) and exhibits resistance to most antimicrobial agents due to the expression of different mechanisms overcoming their effects. Of these resistance mechanisms, the active efflux pumps in Pseudomonas aeruginosa that belong to the resistance nodulation division (RND) plays a very important role in extruding the antibiotics outside the bacterial cells providing a protective means against their antibacterial activity. Beside its role against the antimicrobial agents, these pumps can extrude biocides, detergents, and other metabolic inhibitors. It is clear that efflux pumps can be targets for new antimicrobial agents. Peptidomimetic compounds such as phenylalanine arginyl β-naphthylamide (PAβN) have been introduced as efflux pump inhibitors (EPIs); their mechanism of action is through competitive inhibition with antibiotics on the efflux pump resulting in increased intracellular concentration of antibiotic, hence, restoring its antibacterial activity. The advantage of EPIs is the difficulty to develop bacterial resistance against them, but the disadvantage is their toxic property hindering their clinical application. The structure activity relationship of these compounds showed other derivatives from PAβN that are higher in their activity with higher solubility in biological fluids and decreased toxicity level. This raises further questions on how can we compact Pseudomonas infections. Of particular importance, the recent resurgence in the use of older antibiotics such as polymyxins and probably applying stricter control measures in order to prevent their spread in clinical sittings.
Variability in the Physico-chemical Properties of Soils of Similar Lithology in Three Land Use Types in Ahiazu Mbaise, Imo State Nigeria

Variability in the physicochemical properties of soils of different land uses form from the same lithology was studied. Soil samples were collected from surface (0 – 20 cm) and subsurface (20 – 40 cm) depths from three land use namely fallow land, continuous cultivated land and mechanic village land. The soils were air dried, sieved with 2 mm sieve and subjected to routine laboratory analysis. Results obtained were subjected to analysis of variance (ANOVA) and significant treatment means were separated using Least Significant Difference (LSD) at 0.05 probability level. Relationship between selected soil properties were determined using correlation analysis. Results showed that the textures of the studied soils were not affected by land use practices. Bulk density increased with increase in depth with fallow land recoding the lowest values of 0.86 g/cm3 (0.-20 cm depth) and 1.06 g/cm3 (20 – 40 cm depth). Land use types significantly (P = 0.05) affected soil chemical properties such as soil pH, soil organic carbon, total N, available P and exchangeable cations with the highest values recorded in fallow land, followed by palm plantation and the least was continuous cultivated land. There were slight variations among soil properties in the three land use types studied. Significant positive and negative correlations existed and some soil properties. Good soil management practices such as organic fertilization, zero tillage and mulching is recommended especially in continuous cultivated lands.
Hydrology and forests in the Blue Nile basin

Forest cover change is considered a major cause of water scarcity during the dry season in the Blue Nile River Basin of Ethiopia, which is part of the Nile River system. However, this is an over-simplification of the complex reality of forest and flow relationships, especially in the tropics. The objectives of this study were to explore the spatial relationship of land use and flow regime, detect temporal changes in the hydrological regime, determine changes in the forest cover, and summarize the results to define the relationship between forest cover and hydrological regime. Two broad approaches were used to address these aims: observational data analysis and community perception. Thirty-two watersheds were covered in the spatial study, and 45 years of data for a dozen of these watersheds were analyzed in the temporal study. Statistical methods were used to explore the spatial relationship of land use and flow, and both statistical and modeling methods were used to detect hydrological change over time. Remote sensing analysis was used to document forest cover changes. Natural grassland and woodland had a positive, while grazing land and open bush land had a negative correlation with low flow regimes at the spatial scale. There were no major temporal changes in the flow regime, or clear results to attribute land degradation or land use change to hydrological changes and specific changes within each watershed. The change related to forest cover were watershed specific, although there were general differences between southern and northern watersheds regarding the time of deforestation. The community perception indicated the relationship of forest cover change and flow regime was more complex than just deforestation causing loss of dry season flow. According to the elders, forest and flow relationships were watershed specific, even sub-watershed specific. The lack of a clear relationship between forest cover change and flow regime in the temporal dimension could be attributed to the scale of watersheds, uncertainty about the measurement of flow extremes, and the impact of variability in rainfall within the region. The watershed-specific nature of the relationship between forest and flow within the Basin, confirmed by the community perception, indicates forest hydrology studies should be tailored to watershed scale, or even sub-watershed scale i. e. hill-slope scale, and address the relevance of water availability at farm and river scale.
Impact of Tax Implementation on Fintech P2P Loans in Indonesia

This research paper aims to examine the impact of tax implementation on the number of P2P loan recipients and the amount of P2P loan disbursement in fintech industry of Indonesia. This empirical study is based on the number of accounts and loan data acquired from one of Indonesia’s government agencies – the Financial Services Authority (OJK) from February 2022 to April 2022 and June 2022 to August 2022 that are analyzed using various tests such as Skewness-Kurtosis Test, the variance ratio test, and t-test. The results show that tax implementation does not significantly affect the number of P2P loan recipients and the amount of P2P loan disbursement. This is because fintech offers greater benefits than traditional banks, such as convenience, time-saving, more access to financial products, and better security measures. The limited amount of available data and the number of provinces available become the limitation of the study to obtain optimum results.
Description of the advertisement call of Physalaemus lisei (Anura: Leiuperidae)

1) Programa de Pos-Graduacao em Ecologia & Evolucao, Instituto de Ciencias Biologicas, Universidade Federal de Goias, Campus Samambaia, 74001-970, Cx. Postal 131, Goiânia, GO, Brazil 2) Laboratorio de Herpetologia e Comportamento Animal, Departamento de Ecologia, Instituto de Ciencias Biologicas, Universidade Federal de Goias, Campus Samambaia, 74001-970, Cx. Postal 131, Goiânia, GO, Brazil 3) Haldenstr. 28, 70736 Fellbach, Germany
RELATIONSHIP OF SELF-DIRECTED LEARNING AND ACADEMIC ACHIEVEMENT OF SECOND-YEAR TEACHER EDUCATION STUDENTS

: The purpose of this study is to determine if there is a relationship between self-directed learning and academic achievement among second year BEED students at UM Peñaplata College. This particular study has used the quantitative–descriptive correlational design to determine the level of self-directed learning in terms of learning motivation, planning and implementing, self-monitoring, and interpersonal communication to academic achievement. The researchers utilized an adapted questionnaire for the Self-Directed Learning and used a secondary data for the academic achievement of students. The statistical tools used in the study were the Mean and Pearson Product-Moment Correlation (Pearson r). The result shows that among the second year BEED students the level of self-directed learning is at high level which means that self-directed learning is manifested most of the time. The students’ level of academic achievement is B+ Distinction means that the students are performing well and able to understand the lesson well. Moreover, there was no significant relationship between students’ level of self-directed learning and level of academic achievement; it is understandable that the increase and decrease of level of self-directed learning doesn’t affect the level of academic achievement. The study confirmed that there is no significant relationship between self-directed learning and academic achievement. Therefore, further study is required to clearly understand the other mechanisms between these two variables.