Miracle-dz/UniFAR-FTUs huggingface dataset:
Preservice Teachers’ Metaphorical Perceptions on Smartphone, No Mobile Phone Phobia (Nomophobia) and Fear of Missing Out (FoMO)

DOI: 10.14686/buefad.516540 The togetherness of smartphones and social media has emerged two negative phenomena called Nomophobia and FoMO. Nomophobia, the fear of no mobile phone, and FoMO, the fear of missing out developments on social media, present a risk especially for university students. University students now have longer durations of social media and smartphone usage due to Nomophobia and FoMO. With this increase in usage, university students are more likely to be predisposed to Nomophobia and FoMO, and therefore, have problems leading to fear, anxiety and stress. This study aimed to identify pre-service teachers’ metaphorical perceptions of smartphone, Nomophobia and FoMO. In the literature, studies on Nomophobia and FoMO have been conducted as quantitative research. This study was designed with mixed method which includes at least one quantitative and one qualitative method. The findings of the study differed by smartphone usage duration of the pre-service teachers and their scores of the Nomophobia Questionnaire and the FoMO scale. According to the findings, the participants frequently used the metaphors of “friend, organ, eating, need, lover” for smartphone, “being lonely, nothingness” for Nomophobia and “failing to be up to date, necessity” for FoMO. Article History:
Genome and transcriptome analysis for the process of cancer progression

Cancer is known as one of the leading causes of death in the world. Recent years have witnessed substantial progress in understanding tumor heterogeneity and the process of tumor progression; however, the entire step-wise process of the transition of tumors from benign to metastatic state remains poorly understood. In this dissertation, I conducted genomeand transcriptome-sequencing analyses for the tumorigenesis process to reveal the entire mechanisms of the tumor progression. In the genome-sequencing study, I performed a prospective analysis by employing an experimental carcinogenesis mouse model to systematically understand the evolutionary process of tumors. Collaborators surgically collected a part of a lesion of each tumor and followed the progression of these tumors in vivo over time. I conducted the comparative time-series analysis of the genomes of tumors with different fates, i.e., those that eventually metastasized and regressed. The results suggested that these tumors acquired and inherited different mutations. Despite the occurrence of an intra-tumor selection event for malignant alteration during the transformation from earlyto late-stage papilloma, the fate determination of tumors might be determined at an even earlier stage. While the genome-sequencing enables us to analyze the genomic mutations, transcriptome-sequencing technology is widely used to comprehensively detect and quantify cellular gene expression. Numerous analytical methods have been proposed for identifying differentially expressed genes (DEGs) between paired samples such as tumor and control specimens, but few studies have reported methods for analyzing differential expression under multiple conditions as my research target, the step-wise process of the tumor progression. In the transcriptome-sequencing study, I propose a novel method, DEclust, for differential expression analysis among more than two matched samples from distinct tissues or conditions. As compared to conventional clustering methods, DEclust more accurately extracts statistically significant gene clusters from multi-conditional transcriptome data. As a result of applying my method to the cancer transcriptome analysis, DEclust extracted 16 gene clusters whose expression patterns were discriminative in the process of the tumor progression; moreover, the genes which were belonging to each of these clusters were significantly enriched for biological functions. Through the genome and transcriptome studies, I gave insights of the evolutional process in the tumors over time and the gene clusters whose expression patterns were discriminative in the process of the tumor progression. Examples of the research that directly analyzes the process of tumor progression are rare; hence, my results are meaningful and I consider that it is necessary to advance such a direct approach to reveal the entire process of cancer progression.
Sensibilidad y especificidad de las pruebas de ureasa (clotest), histología de mucosa gástrica, serología, cultivo y pcr en la identificación del helicobacter pylori: Servicio de gastroenterología. Hospital Universitario. Maracaibo

RESUMEN Las pruebas de test de ureasa (Clotest), histología, serología, cultivo y PCR, son métodos diagnósticos útiles para la identificación del Helicobacter Pylori. Son de alta sensibilidad y especificidad. Objetivo: Determinar la sensibilidad y especificidad del test de ureasa, histología, serología, cultivo y PCR, utilizando la histología como prueba estándar. Materiales y Métodos: se realizó un estudio prospectivo de 92 pacientes con dispepsia e indicación de endoscopia digestiva superior durante en periodo 2004 y 2005. Resultados: La edad de los pacientes fue entre 14 y 85 años siendo 30 pacientes del sexo masculino y 62 del femenino. Los tipos de dispepsia fueron: no ulcerosas en 71 pacientes (77%) y dispepsias ulcerosas en 21 pacientes (22,83%). Los hallazgos endoscópicos fueron: gastritis en 16 pacientes (17.39%), 28 pacientes con gastroduodenopatías (30.43%), 1 paciente con duodenitis (1.09% y 26 pacientes con otros hallazgos endoscópicos (28.26%). Se comparó test de ureasa comercial con histología resultando una sensibilidad del 58% y s e n s i b i l i d a d en 50%. Se comparó serología con histología resultando la sensibilidad en 89% y la especificidad en 96%. Los resultados de histología fueron 75% de positivos, test de ureasa (55%), serología (56%), cultivo 54% y PCR 41%. Conclusión: La histología y la serología fueron superiores al test de ureasa en la identificación del Helicobacter Pylori.
Effects of Host Diversity on Infectious Disease

The dynamics of infectious diseases can be affected by genetic diversity within host populations, species diversity within host communities, and diversity among communities. In principle, diversity can either increase or decrease pathogen transmission and disease risk. Theoretical models and laboratory experiments have demonstrated that a dilution effect (decreased disease risk with increasing diversity) can occur under a wide range of conditions. Field studies of plants, aquatic invertebrates, amphibians, birds, and mammals demonstrate that the phenomenon indeed does occur in many natural systems. A dilution effect is expected when (a) hosts differ in quality for pathogens or vectors; (b) higher quality hosts tend to occur in species-poor communities, whereas lower quality hosts tend to occur in more diverse communities; and (c) lower quality hosts regulate abundance of high-quality hosts or of vectors, or reduce encounter rates between these hosts and pathogens or vectors. Although these conditions characterize many disease systems, our ability to predict when and where the dilution effect occurs remains poor. The life-history traits that cause some hosts to be widespread and resilient might be correlated with those that promote infection and transmission by some pathogens, supporting the notion that the dilution effect might be widespread among disease systems. Criticisms of the dilution effect have focused on whether species richness or species composition (both being metrics of biodiversity) drives disease risk. It is well established, however, that changes in species composition correlate with changes in species richness, and this correlation could explain why the dilution effect appears to be a general phenomenon. 157 A nn u. R ev . E co l. E vo l. Sy st . 2 01 2. 43 :1 57 -1 82 . D ow nl oa de d fr om w w w . a nn ua lr ev ie w s. or g by I ns tit ut e of E co sy st em S tu di es o n 11 /0 6/ 12 . F or p er so na l u se o nl y. ES43CH08-Ostfeld ARI 25 September 2012 15:34
Discussion of: “Nonparametric regression using deep neural networks with ReLU activation function”

I would like to commend Johannes Schmidt-Hieber for a very interesting and timely paper, studying nonparametric regression using deep neural networks. In recent years, the area of deep learning has seen an explosive growth within machine learning , leading to impressive leaps in performance across a wide range of important applications. However, our theoretical understanding of deep learning systems is still very limited, with many unresolved questions about their computational tractability and statistical performance. I believe that the statistics community can play a crucial role in tackling these challenging questions, and hope that Schmidt-Hieber’s paper will spur additional research. Being a computer scientist rather than a statistician, I am happy for the opportunity to provide an “outsider’s” viewpoint on this paper (of course, any opinions expressed are solely my own).
BERT for Question Answering on SQuAD 2 . 0

Machine reading comprehension and question answering is an essential task in natural language processing. Recently, Pre-trained Contextual Embeddings (PCE) models like Embeddings from Language Models (ELMo) [1] and Bidirectional Encoder Representations from Transformers (BERT) [2] have attracted lots of attention due to their great performance in a wide range of NLP tasks. In this project, we picked up BERT model and tried to fine-tune it with additional task-specific layers to improve its performance on Stanford Question Answering Dataset (SQuAD 2.0). We designed several output architectures and compared their performance to BERT baseline model in great details. So far, our best-proposed single model built an LSTM Encoder, an LSTM decoder and a highway network on top of the BERT base uncased model and achieved an F1 score of 77.96 on the dev set. By applying ensemble technique with selected models, our final version model currently ranks 12th on the Stanford CS224N SQuAD 2.0 test leaderboard with an F1 score 77.827 (name: Pisces_BERT).
The critical nature of road logistics industry process capability ’ s role in sustainable tourism development

Globally, logistics cost an average of 11% of a country's gross domestic product (GDP). Furthermore, Thailand’s 40 million foreign tourists are provisioned by a logistics system which relies on roads 97.68% of the time to deliver nearly half a billion tonnes of goods. However, Thailand has national logistics' cost averaging 14% of its GDP. With Thailand’s revenues from logistics reaching $96.5 billion in 2019, the authors saw the importance of undertaking a study to determine how the Thai road logistics industry process capability (PC) is influenced by knowledge absorption capability (KAC), technology capability (TC), product innovation (PI), and service innovation (SI). By use of multi-stage random sampling, a sample of 483 owners, executives, and managers was obtained, whose responses from the seven-level scale questionnaire were analysed using LISREL 9.10 software. From both the initial CFA and final SEM of the eight hypotheses model, all the model’s causal variables were found to influence PC positively. This can be explained by 81% of the variance in the Thai road logistics industry PC (R). The causal variables influencing Thai logistics industry PC ranked from highest to lowest were KAC, TC, PI, and SI, with total effect (TE] values at 0.90, 0.81, 0.30 and 0.10, respectively. Therefore, in a smartphone-enabled, Internetconnected, social media world, Thai road service organizations need to marry ‘technological innovation' process capabilities to ensure a competitive advantage and survivability. However, the need for a digitally enabled, 21st-century knowledge worker becomes even more crucial, but companies find obtaining these workers a difficult task, with Thai educational systems hard-pressed to deliver them. As a result, Thailand needs to educate and train a new generation of workers in the transportation and logistics sectors.
ORIGINAL ARTICLE Fractional flow reserve assessment to determine the indications for myocardial revascularisation in patients with borderline stenosis of the left main coronary artery

Wstep: Wiarygodna ocena istotności klinicznej angiograficznie granicznych zwezen pnia lewej tetnicy wiencowej (LTW) jest czesto niemozliwa. Pomiar cząstkowej rezerwy wiencowej (FFR) jest powszechnie stosowany do weryfikacji granicznych zwezen tetnic wiencowych. Jednak przydatnośc pomiarow FFR zostala w pelni potwierdzona jedynie w przypadku zwezen zlokalizowanych poza pniem LTW. Cel pracy: Ocena przydatności pomiarow FFR dla ustalania wskazan do rewaskularyzacji serca w przypadku granicznych zwezen pnia LTW. Metodyka: Do badania wlączono 38 pacjentow w wieku 55±9 lat (od 41 do 74 lat) z izolowanym, granicznym zwezeniem pnia LTW. U wszystkich chorych wykonano pomiar FFR w trakcie dozylnego wlewu adenozyny w dawce 140 μg/kg/min. Do zabiegow rewaskularyzacji kierowano chorych z FFR Wyniki: Średni procent zwezenia pnia LTW wynosil 45±10% w (ilościowa koronarografia – QCA). Wartośc FFR 0,75 u 1 (5%) pacjentki wykonano planowy zabieg CABG z powodu progresji zwezenia pnia LTW. Ponadto u 1 (5%) pacjenta wystąpil zawal serca niezwiązany z obecnością granicznego zwezeniem pnia LTW. Wnioski: W grupie pacjentow z angiograficznie granicznym, izolowanym zwezeniem pnia glownego lewej tetnicy wiencowej, pomiar FFR tylko w polowie przypadkow potwierdza istotnośc kliniczną zwezenia. Zaniechanie interwencji w przypadku FFR ≥0,75 jest bezpieczne i wiąze sie z uzyskiwaniem dobrych wynikow leczenia w obserwacji dwuletniej.
1 Identification of Candida species from clinical 2 samples in a Honduran tertiary hospital 3

13 Candida species are one of the most important causes of human infections, especially in hospitals 14 and among immunocompromised patients. The correct and rapid etiological identification of yeast 15 infections is important to provide adequate therapy, reduce mortality and control outbreaks. In this 16 study, Candida species were identified in patients with suspected fungal infection, and phenotypic 17 and genotypic identification methods were compared. A total of 167 axenic fungal cultures and 46 18 clinical samples were analyzed by HardyCHROM® , MicroScan® , and PCR-RFLP. The species of the 19 C. albicans complex were the most frequent, followed by C. tropicalis and C. glabrata. Less common 20 but clinically relevant species of Candida were also isolated. The comparison between the three 21 methods was concordant, especially for the most common Candida species. Fungal DNA 22 amplification was successful in all clinical samples. 23 24
Determination of the Mohr-Coulomb Material Parameters for Concrete under Indirect Tensile Test

This paper presents determination of the Mohr-Coulomb material parameters for concrete under indirect tensile testing, design of experiments and numerical simulations. Experiments are designed to control input variables associated with inhomogeneous starting material, sample preparation and testing equipment. Statistical analysis of the experimental data is applied in order to correlate material's deformational behaviour with change in cement content. Presented paper discusses a simple method, based on experimental and theoretical framework, to determine two material parameters for concrete: cohesion (c) and angle of internal friction (φ) from indirect tensile test. Cohesion is obtained from experimental results using elastic and plastic theory of concrete deformation. Prandtl's theory is applied to obtain the angle of internal friction from measured bearing capacity and cohesion. Numerical analysis by finite-element method is used for verification of experimental results, employing step-by-step integration procedure for solving the boundary value problem.
Gamification for service design and Innovation : ideaChef ® method and tool

This paper aims to analyze the deployment of ideaChef® gamified method and tool from the perspective of service design experts. It does so by conducting a case study of ideaChef® deployment in a simulation of a new service design concept, where two groups of practitioners and academics were involved in the transformation of a preliminary idea (user on-boarding in an innovation process) into a more structured concept. The paper contributes to service design theory by delivering a new approach to ideation that challenges some of the current approaches to innovation such as collective ideation and criticism avoidance. It also brings significant implications for the service design practice by illustrating a more structured and engaging approach to involve all team members in the collective development of an idea/concept. Furthermore, it provides new insights into what combination of methods and tools should be applied to service design ideation. The integration of ideaChef® approach into the methods and tools typically used by service designers has the potential to provide opportunities for increasing user engagement and the overall quality of the ideation process, particularly at the idea/concept development stage.
11 . 2 MONSOON PREDICTABILITY OF ECMWF ENSEMBLE SEASONAL SIMULATIONS

It is commonly accepted that the atmosphere behaves as a chaotic system (e.g. Lorenz, 1993; Palmer, 1993), and as a consequence, deterministic predictability is limited. However, it is also well know that at many locations, predictability of seasonal weather statistics is also possible (Palmer and Anderson, 1994). This arises from what may be termed “external” factors that alter the likelihood of residence in atmospheric attractors (cf. Palmer, 1993), enabling probalistic forecasts to be made of the seasonal mean state, on the condition that the external forcing is itself predictable. The primary source of such external forcing at seasonal timescales arises from anomalous sea surface temperature (SST) patterns (Barnston et al., 1994). It is clearly important to be able to access where on the global atmospheric variations are sufficiently affected by oceanic forcing to enable practical seasonal prediction. This requires measurements of atmospheric potential predictability. Recently, potential predictability has been measured using an ensemble of climate simulations, where all are forced by the same observed interannually varying SSTs but started from different initial atmospheric conditions (Kumar and Hoerling, 1995; Rowell, 1998; Brankovic and Palmer, 2000). For predictability study, the sensitivity to initial atmospheric conditions can be used to quantify the random component of interannual variability, where as the relative similarity (or lack of it) between ensemble members can be used to quantify the potentially predictable component of variance. The standard statistical tool for this kind of problem is “analysis of variance” (ANOVA). A particular advantage of the ensemble approach is that it is more powerful at detecting weak influences of SST (Rowell, 1998), but it has the disadvantage of relying primarily on a model’s climate skill.
Knowing who you are : The Effect of Feedback Information on Exam Performance JOB MARKET

Knowing how one’s characteristics compare to those of other individuals is important in every setting of economic decision making. This paper examines the effects of information provision about relative performance on short and long term outcomes. Our identification strategy exploits a natural experiment where students in some cohort are provided with feedback through standardized national exams. We exploit this variation using administrative data combined with new school level data. Employing Difference techniques, we show evidence that feedback information from sitting similar exams prior to university admission high stake exams improves the performance of the high achieving students by 0.15 standard deviations and reduces the performance of the low achieving students by 0.3 standard deviations. Additionally, providing relative performance information to the high achieving students reduces their repetition rate of the national exams, improves the popularity position of the college program they get admitted to by 0.16 standard deviations and increases their expected annual earnings by 0.14 standard deviations. The effects are opposite for low achieving students. We also find that feedback encourages students from low income neighbourhoods who are now admitted to the top programs, indicating a potential decrease of income inequality. The results are consistently more pronounced for females indicating greater sensitivity to feedback.
Draft How plastic is migratory behavior ? Quantifying elevational movement in a partially-migratory alpine ungulate

Complete List of Authors: Spitz, Derek; University of Montana, Wildlife Biology Program, W. A. Franke College of Forestry and Conservation Hebblewhite, Mark; University of Montana, Wildlife Biology Program, W.A. Franke College of Forestry and Conservation Stephenson, Thomas; California Department of Fish and Wildlife, Sierra Nevada Bighorn Sheep Recovery Program German, David; California Department of Fish and Wildlife, Sierra Nevada Bighorn Sheep Recovery Program
A review on anterior teeth restorations

Restorations of teeth have been a need of time since very long. As the time have passed, there have been different advances in the field of restorative materials and tooth restorations. Many newer restorative materials are now available to us for the purpose of tooth restorations still some of the older materials are materials of choice for a sector of society. This article focuses on few such restorative materials and also tells us about a few patents granted in such field.
Wound Healing Activity of Binahong (Anredera cordifolia (Ten.) Steenis) Leaves Extract towards NIH-3T3 Fibroblast Cells

Anredera cordifolia (Ten.) Steenis, also known as Binahong, is a family of Basellaceae, a medicinal plant that had been growing well for many years. Binahong leaf extract can stimulate fibroblast and collagen formation which will accelerate the process of wound healing. This study was carried out to observe the proliferation kinetics and migratory activity of 3T3 fibroblast cell lines induced by Anredera cordifolia (Ten.) Steenis ethanol extract. Anredera cordifolia (Ten.) Steenis powder was extracted by maceration with 70% ethanol. Proliferation activity was assessed by using the MTT assay. Cell migration activity was determined using scratch assay. The data obtained were analyzed statistically with data analysis, descriptive analysis, and continued with the bivariate analysis of correlation between case groups. The results of phytochemical analysis test on the content of Binahong leaf extract’s secondary metabolites confirmed the presence of saponins, tannins, alkaloids, triterpenoid, flavonoid, phenolics, steroids, and glycosides. Fibroblast cell proliferation was increased from 0 h until 72 h with the highest proliferation rate at the concentration of 62.5 μg/mL (127.89 ± 16.12). The results showed that there was a significant difference in the mean proliferation rate of fibroblast cells between the Binahong leaf extract, Aloclair and the control group (p value = 0.0001). Anredera cordifolia (Ten.) Steenis leaf extract has chemical compounds, such as saponins, tannins, alkaloids, triterpenoid, flavonoid, phenolics, steroids, and glycosides. It is potentially effective as a wound healing agent which stimulates proliferation of fibroblast cells. Experimental article (J Int Dent Med Res 2019; 12(3): 854-858)