Miracle-dz/UniFAR-FTUs huggingface dataset:
Centrosome Amplification in Cancer Disrupts Autophagy and Sensitizes to Autophagy Inhibition

Centrosome amplification (CA), or a numerical increase in centrosomes, is common in human cancers, particularly those with high-risk features. We have discovered that cells with CA have an increased burden of autophagy, a catabolic process whereby autophagosomes engulf damaged organelles and proteins and deliver these contents to the lysosome for degradation and subsequent recycling. Cells with CA demonstrate an accumulation of autophagosomes. We evaluated the alternative hypotheses that CA alters autophagy by modulating microtubule networks and impairing trafficking versus altering lysosome clustering and organization versus chromosome missegregation-induced proteotoxic stress. Using LC3 reporter assays and autophagosome tracking experiments, we demonstrate that CA causes an accumulation of autophagosomes by interfering with autophagosome trafficking. To establish whether this was a druggable weakness, we tested autophagy inhibitors in our cell models of CA. Cells with CA are sensitized to chemical and genetic autophagy inhibition. Taken together, our results suggest that autophagy is disrupted by CA and sensitizes cells to inhibition of autophagy. These findings suggest a novel precision medicine strategy, whereby CA increases reliance on autophagy and serves as a biomarker for autophagy inhibitors in high-risk cancers. Implications: Our study suggests that CA could be used as a predictive biomarker for treatment with autophagy inhibitors.
IL8 Expression Is Associated with Prostate Cancer Aggressiveness and Androgen Receptor Loss in Primary and Metastatic Prostate Cancer

Chronic inflammation and African ancestry are implicated in prostate cancer aggressiveness, and inflammation-related genes are more highly expressed in prostate cancer in African American men. IL8 secretion is also implicated in prostate cancer progression and castration resistance. We used RNA in situ hybridization to localize IL1β, IL6, IL8, and IL10 mRNA in low- and high-grade prostate cancer from African American and European American men. IL8 was the most abundantly expressed and the only interleukin detected in tumor cells. We further interrogated IL8 expression in primary and metastatic prostate cancer tissue microarrays and both androgen-dependent and castration-resistant patient-derived xenografts (PDX). IL8 was significantly increased in both tumor and benign regions of higher grade cases (ISUP Grade Group 4–5), but there was no difference between races. We determined that IL8 expression in prostate cancer cell lines, distant metastases, and PDX lines was associated with androgen receptor (AR) loss, but not castration resistance. Reciprocal IL8 and AR expression was also observed in high IL8-expressing atrophy lesions with simultaneous AR downregulation. Finally, we show that IL8 is likely repressed by AR binding to the IL8 promoter and is inducible in prostate cancer cells stimulated with lipopolysaccharide only in cells with AR loss. Likewise, AR knockdown in androgen-dependent cells induced IL8 expression, further demonstrating that AR represses IL8 expression. In conclusion, IL8 expression in the tumor microenvironment is associated with aggressive prostate cancer and with AR loss in metastatic disease. Implications: IL8 expression is repressed by AR and is associated with prostate cancer aggressiveness and AR loss in metastatic disease.
Matrix-Delivered Autologous Mesenchymal Stem Cell Therapy for Refractory Rectovaginal Crohn's Fistulas.

BACKGROUND Crohn's rectovaginal fistulizing disease remains notoriously difficult to treat. A phase I clinical trial to evaluate the safety and feasibility of a novel protocol using a mesenchymal stem cell (MSC)-coated Gore Bio-A fistula plug for the treatment of medically and surgically refractory Crohn's rectovaginal fistulas was conducted. METHODS Five patients underwent an autologous subcutaneous adipose tissue harvest via a 2-cm abdominal wall incision at time of exam under anesthesia (EUA) with seton placement. MSCs were isolated, expanded, and impregnated on the plug. After 6 weeks, patients returned to the operating room for placement of the MSC-coated plug. The primary end points were safety and feasibility; the secondary end point was clinical and radiographic healing at 6 months. RESULTS Five female patients (median age [range], 49 [38-53] years) with a median disease duration (range) of 23 (7-34) years who were on biologic (n = 5) or combination therapy (n = 3) had successful harvest and expansion of MSCs and delivery of the Gore Bio-A plug. There were no serious adverse events or adverse events related to the MSCs or plug during the 6-month follow-up. At 6 months, 3 patients had complete cessation of drainage, and 2 had >50% reduction in drainage; all had a persistent fistula tract identified on magnetic resonance imaging and EUA at 6 months. CONCLUSIONS Surgical placement of an autologous adipose-derived MSC-coated fistula plug in diverted patients with Crohn's rectovaginal fistulas was safe and feasible. All patients had a reduction in the size of their fistula tract, and 3 of 5 had cessation of drainage, but none achieved complete healing.This was a phase I clinical trial of autologous mesenchymal stem cells on a plug for rectovaginal Crohn's fistulas.
Application Of Some Artificial Intelligence Techniques In Induction Motor Fault Diagnosis

- In spite of the advantages of the use of the induction motor in a large number industrial applications, various stresses natures like thermal, electrical, mechanical or environmental could affect the life span of this induction motor drive. In recent years, monitoring and fault detection of electrical machines have moved from traditional techniques to artificial intelligence techniques. This paper gives examples of application of nine AI techniques already applied to induction motor fault diagnosis: neural networks, fuzzy logic, neural-fuzzy, genetic algorithms, vector support machine, particle swarm optimization, artificial immune system and gaussian bootstrap process. Functions that can be accomplished by them are highlighted. 1
Design and Development of an optimal algorithm to assign applicants to suitable teaching positions

Resource allocation has always been an area of interest and the era of computing. This is especially true in areas of computing such as machine learning which provides many solutions to the problem of resource allocation. The issue addressed in this paper is the issue of optimal allocation of applicants (teachers) to positions in schools where their area of specialization will be better applied. We develop an algorithm that is able to allocate applicants to schools based on the applicant qualifications and the school’s needs. We use the principles of resource allocation and machine learning in order to create an application to allocate applicants to schools where their qualifications are most suited. Methods used include classification techniques in machine learning, regression and similarity comparison. For the identification is subjects an applicant in proficient in, various machine learning algorithms are tested to determine which machine learning algorithm will be best. The actual process of identifying which applicant qualifies for a school position is also tested against sequential assignment if applicants to schools. The results of this were that the algorithm based assignment of applicants to schools produced more accurate assignment of applicants to schools than the sequential assignment of applicants. The aim of this algorithm is to provide a solution to that automatically identifies the needs (subjects) of a school, determine which needs are to have a higher priority, identify the qualifications of the applicants and assign the applicants to the school according to the school’s needs and the applicant’s qualifications.
Development of computer-based interactive multimedia : study on learning in elementary education

Computer-based learning media is the use of a computer to help present learning materials to students, monitor the progress of learning or choose additional learning materials in accordance with student learning needs individually or is a form of application and use of computers that are applied in student learning directly to convey the content of the lesson, providing student learning exercises. The purpose of this study is the development of interactive multimedia computer-based on the subject of civic education in elementary education. This research method using an approach of research and development with stages: requirement analysis, design, and validation expert. The results of this study found that interactive multimedia applications based on computer valid and suitable for use in teaching and learning activities in primary schools.
Natural language processing with (tabled and constraint) logic programming

We survey the evolution of natural language processing as it relates to Logic Programming, with particular focus on David Scott Warren's crucial contributions such as tabling, and the relationship with hypothetical reasoning and constraint based programming. These topics lead naturally to a view of parsing as constraint solving, which extends to grammar inference. Our exposition of the subject is intuitive and example-driven, with references to more formal presentations when needed.
Preferences in Business and Corporate Strategies: The Role of Personal Values

This study explored the relationship between 24 personal values and strategic preferences. Data was collected from 137 participants. Through stepwise discriminant analysis, the data were analyzed to reveal that personal values do have a relationship with strategic preferences. In particular, the ‘obedience’ value was more distinctly related to customer-focused business strategies. ‘Courtesy’ was mostly associated with backward integration strategies, while ‘adaptability’ was more related to forward integration strategies. Finally, the findings of this study revealed that diversification strategies were not related to personal values. Keywords: Strategy, Personal Values, Strategic Preferences, Business Strategy, Corporate Strategy To cite this document: Hussein Ismail, "Preferences in Business and Corporate Strategies: The Role of Personal Values", Contemporary Management Research, Vol.12, No.1, pp. 25-46, 2016. Permanent link to this document: http://dx.doi. org/10.7903/cmr.14600
Big Five Traits and Loneliness among Turkish Emerging Adults

Emerging adulthood, between the ages of 18 and 25, as a distinct developmental stage extending from adolescence to young adulthood. The proportions composing the five-factor model are neuroticism, extraversion, openness to experience, agreeableness, and conscientiousness. In the literature, there is any study which includes the relationship between emerging adults’ loneliness and personality traits. Therefore, the relationship between emerging adults’ loneliness and personality traits have to be investigated. This study examines the association between the Big Five personality traits, and loneliness among Turkish emerging adults. A total of 220 emerging adults completed the NEO Five Factor Inventory (NEO-FFI), and the The UCLA Loneliness Scale (UCLALS). Correlation analysis showed that three Big Five personality dimensions which are Neuroticism (positively), and Extraversion and Aggreableness (negatively) are moderately correlated with emerging adults’ loneliness. Regression analysis shows that Extraversion, Aggreableness and Neuroticism are the most important predictors of emerging adults’ loneliness. Results can be discussed in the context of emerging adulthood theory. Keywords—Personality; Big Five Traits; Loneliness; Turkish Emerging Adults.
Update to "A Demographic Study of a Dinka Village".

Since few census or vital statistics existed for Africa in the 1950s a researcher conducted a demographic study of a Dinka village in the Sudan in 1953-1954. This study constituted the beginning of a longitudinal series of additional studies some of which were not done because of political developments (e.g. studies to determine if demographic material can determine the ecological success of a population). It was also to serve as a means to observe social behavior infer the marriage pattern and establish relationships which in turn could characterize the genetic constitution of the broader population thereby providing a framework from which to interpret the genetic results. It indeed illustrated the importance of cultural variables on gene flow as shown by marriage pattern. Further a subsequent study of genetic structure of the Dinka demonstrated the effect of population distribution and density and marriage pattern on genetic differentiation rates--the 1st study of the genetic structure of a real human population. Then only a limited number of studies estimated age by dental eruption and deterioration and examined age distribution classified age sets and compared village members by talking to the members themselves and also with their relatives in the village. Since then demographers have designed techniques to handle incomplete or inaccurate data from such populations. For example Brass devised and applied his methods of estimation (Brass Technic) at the East African Statistical Office. In this study the researcher surveyed the huts to develop a prediction equation. Since then few researchers have used such local intensive surveys to provide prediction equations.
Which are the best predictors of theory of mind delay in children with specific language impairment?

BACKGROUND The relationship between language and theory of mind (ToM) development in participants with specific language impairment (SLI) it is far from clear due to there were differences in study design and methodologies of previous studies. AIMS This research consisted of an in-depth investigation of ToM delay in children with SLI during the typical period of acquisition, and it studied whether linguistic or information-processing variables were the best predictors of this process. It also took into account whether there were differences in ToM competence due to the degree of pragmatic impairment within the SLI group. METHODS & PROCEDURES Thirty-one children with SLI (3;5-7;5 years old) and two control groups (age matched and language matched) were assessed with False Belief (FB) tasks, a wide battery of language measures and additional information-processing measures. OUTCOMES & RESULTS The members of the SLI group were less competent than their age-matched peers at solving FB tasks, but they performed similarly to the language-matched group. Regression analysis showed that overall linguistic skills of children with SLI were the best predictor of ToM performance, and especially grammar abilities. No differences between SLI subgroups were found according to their pragmatic level. CONCLUSIONS & IMPLICATIONS A delay in ToM development in children with SLI around the critical period of acquisition is confirmed more comprehensively, and it is shown to be more strongly related to their general linguistic level than to their age and other information-processing faculties. This finding stresses the importance of early educational and clinical programmes aimed at reducing deleterious effects in later development.
Learning Innovation by Applying Interactive Game-Based Multimedia: Teachers' Perceptions

This study aims to describe: (1) the acceptance of teachers to interactive game-based multimedia as a medium of learning; (2) teachers’ understanding of game-based interactive multimedia; and (3) teachers’ assessment of interactive game-based multimedia. The research method used is descriptive qualitative. The data were collected by using observations and interviews. Data analysis techniques used are interactive analysis consisting of data collection, data reduction, data presentation, and conclusion. The results of this study indicate that (1) teachers provide good acceptance of interactive game-based multimedia because the learning process becomes more active and student-centered; (2) interactive game-based multimedia is simple, so it’s easy to use to help students learn; and (3) teachers have a good assessment on interactive game-based multimedia, so it can be used as learning media either at school or at home.
Simulation and Control of Biological Stochasticity

Author(s): Rackauckas, Christopher Vincent | Advisor(s): Nie, Qing | Abstract: Stochastic models of biochemical interactions elucidate essential properties of the network which are not accessible to deterministic modeling. In this thesis it is described how a network motif, the proportional-reversibility interaction with active intermediate states, gives rise to the ability for the variance of biochemical signals to be controlled without changing the mean, a property designated as mean-independent noise control (MINC). This noise control is demonstrated to be essential for macro-scale biological processes via spatial models of the zebrafish hindbrain boundary sharpening. Additionally, the ability to deduce noise origin from the aggregate noise properties is shown. However, these large-scale stochastic models of developmental processes required significant advances in the methodology and tooling for solving stochastic differential equations. Two improvements to stochastic integration methods, an efficient method for time stepping adaptivity on high order stochastic Runge-Kutta methods termed Rejection Sampling with Memory (RSwM) and optimal-stability stochastic Runge-Kutta methods, are combined to give over 1000 times speedups on biological models over previously used methodologies. In addition, a new software for solving differential equations in the Julia programming language is detailed. Its unique features for handling complex biological models, along with its high performance (routinely benchmarking as faster than classic C++ and Fortran integrators of similar implementations) and new methods, give rise to an accessible tool for simulation of large-scale stochastic biological models.
The efficacy and adverse effects of haloperidol and olanzapine:a randomized controlled study

Objective To compare the efficacy and adverse effects of haloperidol and olanzapine in treatment of patients with schizophrenia.Methods A randomized,multi-center,controlled clinical trial was conducted.Patients with schizophrenia were randomly assigned into haloperidol(n = 120) and olanzapine(n = 252) groups to receive monotherapy with either drug alone for 6 weeks.The positive and negative syndrome scale(PANSS),body mass index(BMI),rating scale for extrapyramdal side effects(RSESE),barnes akathisia rating scale(BARS) and abnormal involuntary movement scale(AIMS) were assessed at baseline,2,4,and 6 weeks following treatment.Moreover,a series of parameters including blood glucose,lipid metabolism and hepatic functions were detected at same time points.Results There were no significant difference in PANSS scores between two groups at baseline.At the end of 6 weeks,the PANSS score of were lower in haloperidol group than in olanzaping group(53.31 ± 1.64 vs.58.05 ± 1.02) whereas the reduction rates of PANSS in were higher in haloperidol group than in olanzapine group(60.63 ± 2.86% vs.52.45 ± 1.80%),P 0.05. The difference at effective rates was no statistically significant between these two groups(66.7% vs.62.7%). The BMI changes(0.08 ± 0.20 kg/m2 vs.0.91 ± 0.12 kg/m2) and the percentage of cases with abnormal alanine aminotransferase level in haloperidol group were lower than that in olanzapine group at the 6 weeks(16.98% vs.28.07%);the changes of triglyeride in haplopeidol were lower than that in olanzapine group at the 4 weeks with P 0.05(0.24 ± 0.12 mmol/L vs.0.57 ± 0.07 mmol/L). The incidence rate of extrapyramidal symptoms were higher in haloperidol group than in olanzapine group(73.3% vs 10.71%,P 0.05). Conclusion These results demonstrate that haploperidol is as effective as olanzapine in treatment for schizophrenia.Olanzapine can significantly increase body weight and adverse metablic effects whereas haloperidol can cause higher incidence of extrapyramidal syndrome(EPS). The double-blind,fixed low dose studies on haloperidol with a larger sample size are needed to confirm the results of our study.
Anorexia Nervosa in twins: case report and review.

: A placebo-controlled double-blind study was conducted to test the antidepressant effects of bupropion at dosage levels of 300 or 450 mg/day. Subjects were 30 hospitalized primary major depressives who were treated for 4 weeks. Physical and behavioral measures were obtained at baseline and at the end of each experimental week. The combined results of the two bupropion groups were significantly better than placebo. Preliminary results showed a significant antidepressant effect of the 300 mg/day dose, but not the 450 mg/day dose, compared to placebo. Anxiety symptoms were also somewhat reduced by the 300 mg/day dose. The results are compared with those of a previous study, which utilized higher dosages.
The effect of topic familiarity on the complexity, accuracy, and fluency of second language writing

Abstract The purpose of the current study is to examine the role of topic familiarity in the complexity, accuracy, and fluency of second language (L2) writing. Topic familiarity was operationalized as whether writers are writing about a common, everyday subject matter in relation to themselves (+ familiar) or to a group they are not familiar with (–familiar), and a learner survey was used to test the validity of the construct. A total of 123 Chinese EFL college students participated in the study, with 61 writing on a familiar topic and 62 writing on a less familiar topic. Their writing performance was analyzed for lexical complexity, syntactic complexity, accuracy, and fluency. Data analyses revealed that the students produced essays with significantly lower lexical complexity for the less familiar topic than for the familiar topic, while the performance areas of accuracy, fluency, and syntactic complexity were not affected by the degree of familiarity. The study findings are discussed in terms of their implications for task selection and sequencing for L2 teaching and assessment purposes.
Fast and Accurate Patent Classification in Search Engines

This article presents a new approach to large scale patent classification. The need to classify documents often takes place in professional information retrieval systems. In this paper we describe our approach, based on linguistically-supported k-nearest neighbors. We experimentally evaluate it on the Russian and English datasets and compare modern classification technique fastText. We show that KNN is a viable alternative to traditional text classifiers, achieving comparable accuracy while using less additional hardware resources.
Young Students' Explorations of Growing Patterns: Developing Early Functional Thinking and Awareness of Structure.

This study explored the development of early functional thinking in fifteen Kindergarten to Grade 2 students. As part of a teaching intervention that emphasized the co-variation between position numbers and number of items in each position of linear growing patterns, students were given a pre and post interview assessment to document their ability to predict the NEXT, NEAR and FAR terms of a pattern. Results of the interviews indicated that young students have the capability to recognize the relationship between two sets of values. Results also suggest that the recognition of visual and numeric structure in patterns influenced the extent to which students were able to reason recursively or explicitly. Finally, nine of the students developed the “perceptual agility” (Lee, 1996) to perceive the pattern in two ways. A “rows” perception was aligned with recursive reasoning, while a “columns” perception was aligned with explicit reasoning.