Miracle-dz/UniFAR-FTUs huggingface dataset:
Surgical Treatment of Carcinomas of the Oral Minor Salivary Glands—Oncological Outcome in Dependence of Tumor Entity and Therapeutic Strategies

Simple Summary Carcinomas of the minor salivary glands of the oral cavity are a rare and heterogeneous group of malignant tumors. The small number of patients limits the available data on treatment and outcome. In this study, we compared clinical and pathological features and oncological outcomes in a cohort of patients suffering from different kinds of minor salivary gland cancer who received primary surgical therapy. Overall, we found different rates of cervical metastases and disease recurrence in dependence on the tumor entity. Therefore, we conclude that the surgical therapy of patients suffering from minor oral salivary gland cancer is feasible and brings good oncological results although the different tumor entities require different levels of therapeutic aggressiveness and adjuvant treatment. Abstract The aim of this study was to analyze the clinical outcomes of three types of minor salivary gland carcinomas (adenoid-cystic carcinomas (ACC), adeno carcinomas not otherwise specified (AC-NOS), and mucoepidermoid carcinomas (MEC)) after primary surgical therapy. A retrospective cohort study was designed and patients with cancer of the minor oral salivary glands treated in our department in the years 2011 to 2022 were included. Clinicopathological data were evaluated to compare overall survival and progression-free survival between the entities. Eighty-one patients were included. The rates of cervical metastases were 38.9% for ACC, 25% for MEC, and 9.1% for AC-NOS. ACC exhibited significantly higher rates of local and systemic disease recurrence (p = 0.02), and the presence of neck node metastases was confirmed as an independent prognostic factor for progression-free survival (p = 0.014). Treatment success in terms of oncological outcome varied significantly between the different entities and implies different treatment regimens for each tumor entity.
THE ROLE OF BRAND AMBASSADOR AND BRAND IMAGE ON CONSUMER PURCHASE DECISIONS AT TOKOPEDIA

The research objective was to determine the influence of brand ambassadors and brand image on consumer purchasing decisions. The method used in this research is a quantitative descriptive method. In determining the number of samples using non-probability sampling techniques with sampling techniques using purposive sampling. 115 respondents as research objects as Tokopedia consumers and BTS fans. Data processing uses the SPSS version 26 program to carry out validity tests, reliability tests, descriptive tests, coefficient of determination tests, multiple linear analysis tests. Research data collection was carried out by dividing questionnaires consisting of 23 servers using a Likert scale with five scores online using Google Form. The results of this study partially show that brand ambassadors and brand image have a significant effect on consumer purchasing decisions at Tokopedia.
Linked candidate genes of different functions for white mold resistance in common bean (Phaseolus vulgaris L) are identified by multiple QTL mapping approaches

White mold (WM) is a major disease in common bean (Phaseolus vulgaris L.), and its complex quantitative genetic control limits the development of WM resistant cultivars. WM2.2, one of the nine meta-QTL with a major effect on WM tolerance, explains up to 35% of the phenotypic variation and was previously mapped to a large genomic interval on Pv02. Our objective was to narrow the interval of this QTL using combined approach of classic QTL mapping and QTL-based bulk segregant analysis (BSA), and confirming those results with Khufu de novo QTL-seq. The phenotypic and genotypic data from two RIL populations, ‘Raven’/I9365-31 (R31) and ‘AN–37’/PS02–029C–20 (Z0726-9), were used to select resistant and susceptible lines to generate subpopulations for bulk DNA sequencing. The QTL physical interval was determined by considering overlapping interval of the identified QTL or peak region in both populations by three independent QTL mapping analyses. Our findings revealed that meta-QTL WM2.2 consists of three regions, WM2.2a (4.27-5.76 Mb; euchromatic), WM 2.2b (12.19 to 17.61 Mb; heterochromatic), and WM2.2c (23.01-25.74 Mb; heterochromatic) found in both populations. Gene models encoding for gibberellin 2-oxidase 8, pentatricopeptide repeat, and heat-shock proteins are the likely candidate genes associated with WM2.2a resistance. A TIR-NBS-LRR class of disease resistance protein (Phvul.002G09200) and LRR domain containing family proteins are potential candidate genes associated with WM2.2b resistance. Nine gene models encoding disease resistance protein [pathogenesis-related thaumatin superfamily protein and disease resistance-responsive (dirigent-like protein) family protein etc] found within the WM2.2c QTL interval are putative candidate genes. WM2.2a region is most likely associated with avoidance mechanisms while WM2.2b and WM2.2c regions trigger physiological resistance based on putative candidate genes.
Enhancing Problem-Solving Skills in Mathematics: Applying LDMAT and SRL for Students with Learning Difficulties

This study examines the effectiveness of the LDMAT and SRL models in improving problem-solving skills in students with learning difficulties in mathematics. The research involved 18 junior high school students and employed a mixed research design. The assessment of problem-solving skills was conducted through pre-test and post-test measurements, consisting of 10 essay-based tests and weekly assignments. Furthermore, problem-solving understanding was assessed based on the strategies utilized by students in the post-test. Data analysis involved using paired t-tests to compare pre-test and post-test results. The findings indicate that applying the LDMAT and SRL models significantly enhanced problem-solving skills in students with learning difficulties in mathematics, particularly among female students. Moreover, the students exhibited an improved understanding of problem-solving procedures. This study underscores the efficacy of the LDMAT and SRL models in enhancing problem-solving abilities and promoting deeper comprehension of problem-solving strategies among students with learning difficulties in mathematics.
Antecedents of involvement in traditional food products in chinese food restaurants and its effect on customer intention

Purpose – On-site dining at restaurants can create a positive or negative feeling that affects customer attitudes, but this activity was affected by COVID-19 pandemic. After the pandemic has subsided, on-site dining behaviour began to recover, and restaurants need a competitive advantage to be successful. This study aims to analyse the factors that influence customers’ involvement with traditional Chinese food and whether this involvement with traditional Chinese food has an impact on intention to revisit and positive e-WOM. Design/Methodology/Approach – The study follows a quantitative approach based on the study’s framework. Data were collected through a survey using a purposive sampling method in five major cities in Indonesia, achieving a sample size of 221 respondents. PLS-SEM was used with SmartPLS™ version 3.3. 3 to analyse the data obtained through the survey. Findings – The results show that food quality, nostalgia, convenience orientation, health involvement, involvement in luxury, and staff service have a positive relationship with involvement in traditional Chinese food, and that the involvement in traditional Chinese food itself has a significant influence on intention to revisit and positive e-WOM. Originality of the research – The study provides new insights and managerial implications for the involvement approach in the tourism industry.
The Market for Sharing Interest Rate Risk: Quantities behind Prices

We study the extent of interest rate risk sharing across the financial system. We use granular positions and transactions data in interest rate swaps, covering over 60% of overall swap activity in the world. We show that pension and insurance (PF&I) sector emerges as a natural counterparty to banks and corporations: overall, and in response to decline in rates, PF&I buy duration, whereas banks and corporations sell duration. This cross-sector netting reduces the aggregate net demand that is supplied by dealers. However, two factors impede cross-sector netting and add to dealer imbalances across maturities. (i) PF&I, bank and corporate demand is segmented across maturities. (ii) Large volumes are traded by hedge funds, who behave like banks in the short end and like PF&I in the long end. This worsens segmentation, exposing dealers to a steepening or flattening of the yield curve in addition to residual duration risk. Consistent with this, we find that demand pressure, in particular hedge funds’ trades, impact swap spreads across maturities. We also document that long-tenor pension fund trades are less likely to be centrally cleared, adding counterparty credit risk to demand imbalances.
Inverse discrete choice modelling: theoretical and practical considerations for imputing respondent attributes from the patterns of observed choices

ABSTRACT The growing availability of geotagged big data has stimulated substantial discussion regarding their usability in detailed travel behaviour analysis. Whilst providing a large amount of spatio-temporal information about travel behaviour, these data typically lack semantic content characterising travellers and choice alternatives. The inverse discrete choice modelling (IDCM) approach presented in this paper proposes that discrete choice models (DCMs) can be statistically inverted and used to attach additional variables from observations of travel choices. Suitability of the approach for inferring socioeconomic attributes of travellers is explored using mode choice decisions observed in London Travel Demand Survey. Performance of the IDCM is investigated with respect to the type of variable, the explanatory power of the imputed variable, and the type of estimator used. This method is a significant contribution towards establishing the extent to which DCMs can be credibly applied for semantic enrichment of passively collected big data sets while preserving privacy.
Numerical study of supersonic turbulent free shear layer

Numerical study of two-dimensional supersonic turbulent free shear layer is performed. The system of Fa-vre-Averaged Naveir-Stokes equations for multispecies flow is solved using ENO scheme of third-order in accuracy. The k-e two-equation turbulence models with compressibility correction are applied to calculate the eddy viscosity coefficient. In order to produce the roll-up and pairing of vortex rings, an unsteady boundary condition is applied at the inlet plane. At the outflow, the non-reflecting boundary condition is taken. The obtained results are compared with available experimental data.
Multi-Depot Heterogeneous Vehicle Routing Optimization for Hazardous Materials Transportation

This paper considers a multi-depot heterogeneous vehicle routing problem (MDHVRP) with time windows, which is very crucial for hazardous materials transportation. For this reason, we formalize this problem as a multi-objective MDHVRP optimization model, where the actual load dependent risk of hazardous materials transportation is considered. To solve the optimization problem, we propose a hybrid multi-objective evolutionary algorithm (HMOEA) and a two-stage algorithm (TSA). In addition, we verify the performance of the proposed algorithms by experiments on the modified Solomon’s VRPTW examples. In the experiment, it can be seen from the distribution of Pareto solution sets and the convergence distribution of IGD values that HMOEA is significantly superior to the other three algorithms in searching for Pareto solutions, as well as in the convergence and diversity of the algorithm. HMOEA and TSA were compared, and the minimum cost obtained by TSA was 13.38% lower than HMOEA, while the minimum risk was 81.69% higher than HMOEA. The advantages of each algorithm in finding solutions in reality were analyzed. A comparison was made between multi-depots heterogeneous VRP and multi-depots homogeneous VRP in the C101 instance, and the results showed that scheduling heterogeneous vehicles would reduce risk and cost.
The Effects of a Low Linoleic Acid/α-Linolenic Acid Ratio on Lipid Metabolism and Endogenous Fatty Acid Distribution in Obese Mice

A reduced risk of obesity and metabolic syndrome has been observed in individuals with a low intake ratio of linoleic acid/α-linolenic acid (LA/ALA). However, the influence of a low ratio of LA/ALA intake on lipid metabolism and endogenous fatty acid distribution in obese patients remains elusive. In this investigation, 8-week-old C57BL/6J mice were randomly assigned to four groups: low-fat diet (LFD) as a control, high-fat diet (HFD), high-fat diet with a low LA/ALA ratio (HFD+H3L6), and high-fat diet with a high LA/ALA ratio (HFD+L3H6) for 16 weeks. Our results show that the HFD+H3L6 diet significantly decreased the liver index of HFD mice by 3.51%, as well as the levels of triacylglycerols (TGs) and low-density lipoprotein cholesterol (LDL-C) by 15.67% and 10.02%, respectively. Moreover, the HFD+H3L6 diet reduced the pro-inflammatory cytokines interleukin-6 (IL-6) level and aspartate aminotransferase/alanine aminotransferase (AST/ALT) ratio and elevated the level of superoxide dismutase (SOD) in the liver. The HFD+H3L6 diet also resulted in the downregulation of fatty acid synthetase (FAS) and sterol regulatory element binding proteins-1c (SREBP-1c) expression and the upregulation of peroxisome proliferator-activated receptor-α (PPAR-α) and acyl-CoA oxidase 1 (ACOX1) gene expression in the liver. The low LA/ALA ratio diet led to a notable increase in the levels of ALA and its downstream derivative docosahexaenoic acid (DHA) in the erythrocyte, liver, perienteric fat, epididymal fat, perirenal fat, spleen, brain, heart, and gastrocnemius, with a strong positive correlation. Conversely, the accumulation of LA in abdominal fat was more prominent, and a high LA/ALA ratio diet exacerbated the deposition effect of LA. In conclusion, the low LA/ALA ratio not only regulated endogenous fatty acid levels but also upregulated PPAR-α and ACOX1 and downregulated SREBP-1c and FAS gene expression levels, thus maintaining lipid homeostasis. Optimizing dietary fat intake is important in studying lipid nutrition. These research findings emphasize the significance of understanding and optimizing dietary fat intake.
The Reason for Becoming a Teacher Educator: A Study on Teacher Educators’ Motives and Well-Being

This study was conducted to find out the reasons for becoming a teacher educator, to analyze the teacher educators’ well-being at the university level, and to ascertain the difference between teachers’ opinions based on demographic variables. All the male and female teachers (31 teachers) and 1347 male and female students from the Department of Education of two colleges and three universities of Rahim Yar Khan were the population of the study. The census sampling technique was used to select the whole population of teachers as a sample because the population of the teachers was small and the stratified random sampling technique was used to select the sample of the students. Finally, 31 teachers (19 males and 12 females) and 674 students (339 males and 335 females) from the Department of Education were selected. A 54- item questionnaire for teachers and a 32-item questionnaire for students, self-structured were used. Thirty-one questionnaires for teachers and six hundred and seventy-four questionnaires for students were distributed among the participants. The researcher used both descriptive and inferential statistical techniques to analyze the collected data of 705 participants by using SPSS. The results revealed that the majority of aspiring educators are encouraged towards the teaching profession however the already inducted in the teaching profession has some concerns. A motivational environment and well-being of teachers should also be provided to the teachers to satisfy their extrinsic needs which will enhance their intrinsic motivation to explore their expertise in the teaching profession as committed teachers
Category Learning DLPFC Single-Dissociation by fNIRS

It remains an open question whether modern neuroimaging clearly dissociates the Explicit system that learns by encoding rules, and the Implicit system that learns by encoding informationintegration boundaries. Further, there are nearly no applications of fNIRS as a modality in studying category learning. We conduct two behavioural experiments to validate a carefully controlled categorization task intended to dissociate Explicit and Implicit systems. Then we apply fNIRS neuroimaging within-subjects to localize a neuroanatomical dissociation. We localized two effects to R DLPFC (1) a simple single-dissociation of higher activity in RB categorization, and (2) a negative relationship between overall task performance and the magnitude of neural activation. We conclude that explicit and implicit cortical activity are dissociable by neuroimaging, and that fNIRS is a feasible modality to study human categorization.
analysis of recruitment, training and retention practices in domestic and multinational enterprises in the country of

This paper studies the behavioural differences in the recruitment, training and retention practices of domestic (DEs) versus multinational enterprises (MNEs) in the country of Brunei Darussalam. Hypotheses from literature survey predict MNEs to be more stringent in their recruitment and training and rigorous with promotion practices. Results show this is to be largely true. MNEs are found to be more rigorous in recruitment and place more emphasis on such traits as candidates’ ‘devotion to task’, ‘self-motivation’, and ‘independent judgment’. DEs rely more on internal appointments than external. MNEs place more emphasis on training; they also emphasise a stronger work culture by relying on ‘induction by socialisation’, and ‘buddy system for mentoring’. When analysed by age, older firms were found to place more importance on language and commitment. They also rely on training via the buddy system and on external appointments for senior posts. Large firms place emphasis on employees’ willingness to travel and work experience in other countries as the main recruitment criteria. Large firms also believe in external appointments for senior positions. The study which is one of few of its kind conducted in non-western environment, and the only one in the context of Brunei, adds to our understanding of HR practices in the context of two different genres of enterprises and has implications for future research.
Emerging applications of cancer bacteriotherapy towards treatment of pancreatic cancer

Pancreatic cancer is a highly aggressive form of cancer with a five-year survival rate of only ten percent. Pancreatic ductal adenocarcinoma (PDAC) accounts for ninety percent of those cases. PDAC is associated with a dense stroma that confers resistance to current treatment modalities. Increasing resistance to cancer treatments poses a challenge and a need for alternative therapies. Bacterial mediated cancer therapies were proposed in the late 1800s by Dr. William Coley when he injected osteosarcoma patients with live streptococci or a fabrication of heat-killed Streptococcus pyogenes and Serratia marcescens known as Coley’s toxin. Since then, several bacteria have gained recognition for possible roles in potentiating treatment response, enhancing anti-tumor immunity, and alleviating adverse effects to standard treatment options. This review highlights key bacterial mechanisms and structures that promote anti-tumor immunity, challenges and risks associated with bacterial mediated cancer therapies, and applications and opportunities for use in PDAC management.
Resolving the building blocks of galaxies in space and time

We investigate the buildup of galaxies from various vantage points. The first two chapters focus on the stellar content of galaxies, especially the distribution of stellar masses at birth and potential variations therein in various galactic environments. We find that in some cases these inferred variations can be due to an underestimation of model and measurement errors. Furthermore, we infer the consequences of these proposed variations on the interpretation of galaxy properties and galaxy formation processes. Chapters 3 and 4 focus on the buildup of galaxies in time through mergers and in-situ star formation. We test and improve observational models that aim to trace galaxies though cosmic time, by applying them to cosmological hydrodynamical simulations, for which we have access to the full history and evolution of galaxies since the beginning of time. The fifth chapter focusses on the buildup of galaxy morphology. We follow the buildup of morphological components in a cosmological simulation, which leads us to conclude that galaxy formation is a three-phase process, consisting of an early, rather disorganised, phase, followed by a phase in which stars are formed primarily in an organised rotating disk, and ending in a late phase of merger-driven spheroid formation.
Time-varying connectedness and contagion between commodity prices and exchange rate in Sub-Saharan Africa

Abstract Market participants, policymakers, and practitioners might have ignored the connection between global commodities and the currency markets in sub-Saharan Africa and the potential for contagion at various time scales. We examine the degree of time-varying connectivity and contagion between commodities and the exchange rates of sub-Saharan African countries (SSA). We use the Barunik and Krehlik (BK18) spillover index on monthly data from 1990 to 2019 to illustrate the dynamic connectivity in the time and frequency domains. The BK18 captures the nonlinear, nonstationary, asymmetric, and time-dependent comovements in the relationship. Our analysis indicates that the relationship between commodity returns and exchange rates in Sub-Saharan Africa (SSA) is both time- and frequency-dependent, but stronger at higher frequencies. We observe that, among the three commodities, only crude oil is a dominant spillover propagator. The exchange rates of South Africa dominate spillover transmission among metal-producing countries, and those of Cote d’Ivoire dominate agricultural-producing countries. The dynamic results reveal significant spillovers between commodities and exchange rates during economic turmoil, indicating contagion among the markets. Since uncertainty spillover is more severe amid market upheaval, investors should use their awareness of market dynamics and fluctuations to protect their holdings from lower asset returns. Policymakers should keep a close eye on spillovers because they endanger cross-market connections.