Miracle-dz/UniFAR-FTUs huggingface dataset:
HIF-1-induced mitochondrial ribosome protein L52: a mechanism for breast cancer cellular adaptation and metastatic initiation in response to hypoxia

Background: Hypoxia is a hallmark of the physical microenvironment of solid tumors. As a key factor that regulates tumor development and progression, hypoxia can reprogram the expression of multiple genes, whose biological function and molecular mechanism in cancer remain largely unclear. The mitochondrial ribosome protein family consists of nuclear-encoded mitochondrial proteins that are responsible for protein synthesis in the mitochondria. Methods: A high-throughput RNA sequencing assay was carried out to identify differentially expressed mRNAs between breast cancer tissues and adjacent normal tissues as well as breast tumors with metastasis and those without metastasis. Our clinical samples and TCGA database were analyzed to observe the clinical value of mitochondrial ribosome protein L52 (MRPL52) in human breast cancer. Potent hypoxia response elements in the promoter region of MRPL52 were identified and validated by chromatin immunoprecipitation and luciferase reporter assays. Functional experiments were performed using breast cancer cell lines with MRPL52 ectopic expression and knockdown cultured in a 20% or 1% O2 environment. Results: MRPL52 expression was upregulated in human breast cancer and was significantly associated with aggressive clinicopathological characteristics and a higher metastatic risk of breast cancer patients. We found that the overexpression of MRPL52 in breast cancer is induced by hypoxia-inducible factor-1 in response to hypoxic exposure. The role of MRPL52 in suppressing apoptosis and promoting migration and invasion of hypoxic breast cancer cells was demonstrated by our experimental evidence. Mechanistically, MRPL52 promoted PTEN-induced putative kinase 1 /Parkin-dependent mitophagy to remove oxidatively damaged mitochondria and prevent uncontrolled reactive oxygen species (ROS) generation, thus repressing activation of the mitochondrial apoptotic cascade. Additionally, MRPL52 augmented epithelial-mesenchymal transition, migration and invasion of hypoxic breast cancer cells by activating the ROS-Notch1-Snail signaling pathway. Benefited from this bidirectional regulatory mechanism, MRPL52 is responsible for maintaining ROS levels in a window that can induce tumorigenic signal transduction without causing cytotoxicity in hypoxic breast cancer cells. Conclusions: This work elucidates the molecular mechanism by which MRPL52 mediates hypoxia-induced apoptotic resistance and metastatic initiation of breast cancer, and provides new insights into the interplay between cancer and the tumor microenvironment.
An investigation of the effects of BMPR1B, BMP15, and GDF9 genes on litter size in Ramlıç and Dağlıç sheep

Abstract This study was carried out to determine the presence of polymorphisms in genes affecting litter size. The SNPs in bone morphogenetic protein receptor type 1B (BMPR1B), bone morphogenetic protein 15 (BMP15), and growth differentiation factor 9 (GDF9) genes were detected in 60 uniparous and 60 multiparous ewes from Ramlıç and Dağlıç breeds. The ewes are maintained in nine public herds at the breeding station of the Afyonkarahisar Sheep and Goats Breeders' Association and lambed in two consecutive breeding seasons. PCR and DNA sequencing analyses were conducted, and 36, 4, and 11 SNPs in Ramlıç and 40, 3, and 11 SNPs in Dağlıç were detected in BMPR1B, BMP15, and GDF9 genes, respectively. A total of 16 SNPs in Ramlıç and 10 SNPs in Dağlıç breeds for three genes were found to be significant (P<0.05). The resulting analyses showed that four SNPs (g.49496G>A, c.1658A>C, c.2037C>T, c.2053C>T) of the BMPR1B gene and one deletion mutation (c.28_30delCTT) in the BMP15 gene of the Ramlıç breed as well as five SNPs (c.1487C>A, c.2492C>T, c.2523G>A, c.2880A>G, and c.2763G>A) of the BMPR1B gene of the Dağlıç breed have significant positive regression coefficients in the desired direction of the rare allele. The observed mutations have potential to be used as genetic markers in the selection of prolific animals for both breeds.
R13 preserves motor performance in SOD1G93A mice by improving mitochondrial function

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease characterized by death of motor neurons in the brain and spinal cord. However, so far, there is no effective treatment for ALS. Methods: In this study, R13, a prodrug of 7,8-dihydroxyflavone, selectively activating tyrosine kinase receptor B (TrkB) signaling pathway, was administered prophylactically to 40-day old SOD1G93A mice for 90 days. The motor performance was investigated by rotarod test, climbing-pole test, grip strength test and hanging endurance test. Afterwards, the spinal cord and medulla oblongata of 130-day old mice were harvested, and the proteomics revealed the effect of R13 on mouse protein expression profile. Astrocytes and microglial proliferation were assessed by immunohistochemical analysis. The number of motor neurons in the spinal cord is determined by Nissl staining. The effect of R13 on gastrocnemius morphology was assessed by HE staining. The effect of R13 on the survival rate was accomplished with worms stably expressing G93A SOD1. Results: Behavioral tests showed that R13 significantly attenuated abnormal motor performance of SOD1G93A mice. R13 reduced the advance of spinal motor neuron pathology and gastrocnemius muscle atrophy. The proliferation of microglia and astrocytes was reduced by R13 treatment. Mitochondriomics analysis revealed that R13 modified the mitochondrial protein expression profiles in the medulla oblongata and spinal cord of SOD1G93A mice, particularly promoting the expression of proteins related to oxidative phosphorylation (OXPHOS). Further study found that R13 activated AMPK/PGC-1α/Nrf1/Tfam, promoted mitochondrial biogenesis and ameliorated mitochondrial dysfunction. Lastly, R13 prolonged the survival rate of worms stably expressing G93A SOD1. Conclusions: These findings suggest oral R13 treatment slowed the advance of motor system disease in a reliable animal model of ALS, supporting that R13 might be useful for treating ALS.
Barriers of Adherence among Palestinian Healthcare Professionals towards the Protocol of Health Education and Counselling on Healthy Behaviours for Non-Communicable Diseases

Background Despite the huge numbers of the universally produced and employed protocols, the adherence with them is still low to moderate in the healthcare settings. This study was employed to assess the attitudes of Palestinian healthcare professionals in Gaza Strip to health education and counseling on healthy behaviours protocol (WHO-PEN Protocol 2), for patients with non-communicable diseases in the Ministry of Health primary healthcare centers. Methods This cross-sectional study was conducted with a census sample of all governmental family physicians and nurses (n=175). The study questionnaire was developed based on Cabana theoretical framework. The Arabic version questionnaire was developed based on the cross-cultural adaptation framework. The psychometric properties of the Arabic version questionnaire was finally evaluated. Results The psychometric properties of the Arabic version questionnaire showed good construct validity and internal consistency reliability. The overall adherence level to WHO-PEN Protocol 2 was 70.0, SD=6.9. The main perceived barriers were lack of incentive, patients' factors, and lack of time. In general, most of healthcare professional respondents had a positive attitude toward the protocol, but this attitude was not predictor to protocol adherence. Conclusion The good validity and reliability of the questionnaire can provide support for the accuracy of the study results. Varied implementation strategies targeting the major barriers derived from the study are extremely required for addressing the lack of incentives, patients' factors and time constraints.
Decreased Nucleus Accumbens Connectivity at Rest in Medication-Free Patients with Obsessive-Compulsive Disorder

Background Patients with obsessive-compulsive disorder (OCD) experience deficiencies in reward processing. The investigation of the reward circuit and its essential connectivity may further clarify the pathogenesis of OCD. Methods The current research was designed to analyze the nucleus accumbens (NAc) functional connectivity at rest in medicine-free patients with OCD. Forty medication-free patients and 38 gender-, education-, and age-matched healthy controls (HCs) were recruited for resting-state functional magnetic resonance imaging. Seed-based functional connectivity (FC) was used to analyze the data. LIBSVM (library for support vector machines) was designed to identify whether altered FC could be applied to differentiate OCD. Results Patients with OCD showed remarkably decreased FC values between the left NAc and the bilateral orbitofrontal cortex (OFC) and bilateral medial prefrontal cortex (MPFC) and between the right NAc and the left OFC at rest in the reward circuit. Moreover, decreased left NAc-bilateral MPFC connectivity can be deemed as a potential biomarker to differentiate OCD from HCs with a sensitivity of 80.00% and a specificity of 76.32%. Conclusion The current results emphasize the importance of the reward circuit in the pathogenesis of OCD.
Modeling Frequency of Injuries per Vehicle Crash in Gurage Zone, Southern Ethiopia

Background Traffic accident is the most serious problem in developing countries like Ethiopia, which is among the leading cause of death with the highest increasing rate from year to year in Ethiopia. This research aimed to identify the associated factors on the frequency of injuries per vehicle crash in Gurage zone. Methods A retrospective study was conducted to identify the contributing factors of a number of injuries per accident. The data were collected from all traffic control and investigation office of 13 Woredas (Districts) for the past five consecutive years from 2013 to 2017. Negative Binomial Regression model was employed to identify the associated factors that affect the number of injuries per accident. Results A total of 334 accidents recorded in the last five years from 2013 to 2017 in Gurage zone. Two hundred eight three (84.73%) of the accidents were caused 610 number of injuries. The significantly associated factors of frequency of injuries per road traffic accidents were Drivers' Age (IR: 0.9813; CI: 0.9664 - 0.9962), Drivers' Sex: Female (IR : 1.6386; CI : 1.2176 - 2.0596), Drivers' vehicles ownership: Hired (IR: 1.4216; CI: 1.1697 - 1.6735) and non-drivers' related variables, like weather condition: Rainy (IR: 1.6041; CI: 1.2552 - 1.9529), road shape: street-square (IR: 1.7421 ; CI: 1.1908 - 2.2934) and vehicle type: Isuzu (load)(IR: 1.6845; CI : 1.2592 - 2.1098) Minibus (IR: 2.7253; CI 2.3129 - 3.1377). Conclusions This study found that, Driver's related factors: Driver's Age, Sex, Drivers' vehicle ownership, and non-drivers' related variables: Weather condition, Road shape, and Vehicle type were identified as significantly associated factors on the frequency of injuries per vehicle crash in Gurage Zone.
Student Reflections on Assurance and Taxation during COVID‐19: A Commentary†

ABSTRACT In this commentary, we document insights on the impact of COVID‐19 on the practice and practitioners of assurance and taxation from the perspectives of prospective professional accountants in a graduate accounting program leading to the CPA designation. These graduate students in accounting highlight that COVID‐19 poses many challenges for the practice of assurance and tax, in terms of the nature and process of work, affecting a wide range of stakeholders. At the same time, a number of examples of creativity and innovation in overcoming challenges were also identified by the students. The richness of student insights leaves us feeling optimistic that the future of the profession is in good hands. This article is protected by copyright. All rights reserved.
Recent updates and current issues of sentinel node navigation surgery for early gastric cancer

With the increase in the incidence of early gastric cancer (EGC), several endoscopic and laparoscopic approaches, such as endoscopic submucosal dissection and function-preserving gastrectomy, have been accepted as standard treatments. Sentinel node navigation surgery (SNNS) is an ideal surgical option for preservation of most parts of the stomach and consequent maintenance of normal gastric function to improve quality of life in patients with EGC. Although many previous studies and clinical trials have demonstrated the safety and feasibility of the sentinel node concept in gastric cancer, the clinical application of SNNS is debatable. Several issues regarding technical standardization and oncological safety need to be resolved. Recently several studies to resolve these problems are being actively performed, and SNNS might be an important surgical option in the treatment of gastric cancer in the future.
Blood Biomarkers Predict Cardiac Workload Using Machine Learning

Introduction Rate pressure product (the product of heart rate and systolic blood pressure) is a measure of cardiac workload. Resting rate pressure product (rRPP) varies from one individual to the next, but its biochemical/cellular phenotype remains unknown. This study determined the degree to which an individual's biochemical/cellular profile as characterized by a standard blood panel is predictive of rRPP, as well the importance of each blood biomarker in this prediction. Methods We included data from 55,730 participants in this study with complete rRPP measurements and concurrently collected blood panel information from the Health Management Centre at the Affiliated Hospital of Hangzhou Normal University. We used the XGBoost machine learning algorithm to train a tree-based model and then assessed its accuracy on an independent portion of the dataset and then compared its performance against a standard linear regression technique. We further determined the predictive importance of each feature in the blood panel. Results We found a fair positive correlation (Pearson r) of 0.377 (95% CI: 0.375-0.378) between observed rRPP and rRPP predicted from blood biomarkers. By comparison, the performance for standard linear regression was 0.352 (95% CI: 0.351-0.354). The top three predictors in this model were glucose concentration, total protein concentration, and neutrophil count. Discussion/ Conclusion Blood biomarkers predict resting RPP when modeled in combination with one another; such models are valuable for studying the complex interrelations between resting cardiac workload and one's biochemical/cellular phenotype.
Organizational Learning and Its Impact on Performance : The Mediating Role of Innovation

This research aims to explore the impact of organizational learning with a mediating role of innovation on organizational performance. Furthermore, this research was conducted in the textile processing sectors in Faisalabad, Pakistan. Organizational learning and its four dimensions managerial commitment, systems perspective, openness and experimentation and the knowledge transfer and integration contributes to the significant impact on organizational performance. Structural Equation Modeling was used to measure the model and SMART-PLS version 2.0 Package. The research identified some recommendations to textile processing sectors. Organizations can provide a platform to facilitate its processing sectors to promote innovation and creativity. Findings identify a number of suggestions through which there can be solve problems with the use of knowledge, learning and innovative skills in other organizations. © 2016 Elixir all rights reserved. Elixir Org. Behaviour 91 (2016) 38264-38269 Organizational Behaviour Available online at www.elixirpublishers. com (Elixir International Journal)
In between letter and practice A case study investigating the impacts of informal institutions on the outcomes of the Parity Law in Senegal

Male dominance remains commonplace in institutional settings, including the political arena. In order to challenge the status quo, gender quotas have been applied in various parts of the world to increase the descriptive – or numerical representation of women in decision-making bodies. In Senegal, a Parity Law was implemented in 2010, allowing women to enter parliament at a tremendous rate. Through a mixed-method, this case study investigates the extent of the gap between the law and the practice in the Senegalese National Assembly. Empirical data was collected during fieldwork in the Senegalese capital, Dakar. Political actors and members of the civil society have been interviewed, and data on sessions held in the hemicycle compiled. The study suggests the implication of informal institutions that influence the intended outcomes of the law, namely: absolute parity, equal participation in the political life, and equal access to mandates and functions between men and women. The findings disclose discrepancies between the aspiration of symmetrical gender relations that the law intends to enhance and the actual dynamics unfolding in parliament. Gender roles, strategical mechanisms, and distributional struggles have been identified as prevalent factors affecting the Parity Law’s expected outcomes.
Sulfotransferase 2 , 6-and 3 , 5-dimethylaniline-induced mutagenesis in Chinese hamster ovary cells expressing human cytochrome P 450 1 A 2 and sulfotransferase Journal of Environmental Biology

5P3H1 cells carrying cytochrome P450 1A2 (CYP1A2) and SULT cells were t r e a t e d w i t h v a r i o u s concentrations of 2,6-and 3,5DMA for 48 hr or their Nhydroxyl and aminophenol metabolites for 1 hr in the absence or presence of 2,6D i c h l o r o 4 n i t r o p h e n o l (DCNP). Cell lethality was assayed by trypan blue e x c l u s i o n a n d i n d u c e d mutagenesis of adenine phosphoribosyl transferase (aprt) gene was also evaluated.
A review of feature selection models for classification

The success of a machine learning algorithm depends on quality of data . The data given for classification, should not contain irrelevant or redundant attributes. This invariably increases the processing time. The data set, selected for classification should contain the right attributes for accurate results. Feature selection is an essential data processing step, prior to applying a learning algorithm. Here we discuss some basic feature selection models and evaluation function. Experimental results are compared for individual datasets with filter and wrapper model.
Quasi‐Continuous‐Wave Organic Thin‐Film Distributed Feedback Laser

Therefore, the development of organic laser dyes with less spectral overlap between the excited-state absorption and emission is crucial for the realization of cw and quasi-cw lasing with low threshold. In our group, we have continuously investigated the optical and amplifi ed spontaneous emission (ASE) characteristics of many organic materials with the aim of realizing electrically pumped organic laser diodes. [ 21–27 ] Among them, 4,4′-bis[( N carbazole)styryl]biphenyl (BSBCz) is one of the most promising candidates because a vacuum-deposited fi lm of the host material 4,4′-bis( N -carbazolyl)-1,1′-biphenyl (CBP) blended with 6 wt% BSBCz, the chemical structures of which are shown in Figure 1 a, possesses outstanding optical and ASE characteristics, such as a high photoluminescence quantum yield ( Φ PL ) of nearly 100% and short PL lifetime ( τ PL ) of about 1.0 ns, leading to a large radiative decay constant ( k r ) of about 10 9 s −1 and low ASE threshold energy of about 0.3 μJ cm −2 . [ 23,26 ] In this paper, we report quasi-cw surface-emitting lasing in a distributed feedback (DFB) device based on this BSBCz:CBP blend fi lm. In this laser device, we obtained the highest repetition rate (up to 8 MHz) and the lowest threshold (on the order of 0.25 μJ cm −2 ) ever reported for a quasi-cw laser based on organic thin-fi lm systems. The incorporation of triplet quenchers is not necessary in our blend fi lm because of its high Φ PL and no signifi cant spectral overlap between the emission and triplet absorption of BSBCz. [ 24 ]
A O ] 4 N ov 2 00 7 Community Structure in Congressional Cosponsorship Networks

Yan Zhang, A. J. Friend, Amanda L. Traud, Mason A. Porter , James H. Fowler, and Peter J. Mucha Department of Mathematics, California Institute of Technology, Pasadena, CA 91125, USA School of Mathematics, Georgia Institute of Technology, Atlanta, GA 30331-0160, USA Department of Mathematics, University of North Carolina, Chapel Hill, NC 27599-3250, USA Oxford Centre for Industrial and Applied Mathematics, Mathematical Institute, University of Oxford, OX1 3LB, UK Department of Political Science, University of California at San Diego, La Jolla, CA 92093-0521, USA Institute for Advanced Materials, University of North Carolina, Chapel Hill, NC 27599-3250, USA
Impact of internal marketing , job satisfaction and organizational commitment on market orientation : An Empirical Study of Iran ’ s food organizations

The topic of market orientation has become popular among scholar in recent years. However, little has done for identifying the antecedents and effective factors which have main role for development and improvement of this concept. Therefore, this research provides insight of antecedents of market orientation by presenting a conceptual model stem from relevant literature. The empirical results indicated that internal marketing is an antecedent for market orientation, job satisfaction and organizational commitment. Moreover, both job satisfaction and organizational commitment has direct positive impact on market orientation. Managerial implications and theoretical applications have been explored for both managers and scholars. © 2014 Elixir All rights reserved ARTICLE INF O Articl e h istory: Received: 31December2013; Received in revised form: 16 May 2014; Accepted: 30 May 2014;
A New Proposal Of MPPT In Grid Connected PV System Using Intelligent Fuzzy Based PSO For Customized Step-Up Cuk Converter

In order to optimize the efficiency of the solar generator, a new perspective of Intelligent Fuzzy based PSO was articulated in this paper. Modulated solar is interfaced with grid integrated Three phase Inverter through a Customized step-up Cuk Converter with increased voltage transformation ratio and reduced Voltage strain. Battery energy backup principle is also added in this concept. Conventional MPPT scheme fails to track MPP precisely and rapidly during changes in weather conditions. The proposed MPPT scheme helps to maintain enhanced tracking characteristics during varying atmospheric conditions by providing better reliability and good dynamic response. The performance of proposed algorithm is evaluated by means of simulation in MATLAB/ Simulink software.
Image Processing using Image Compression Methods

by simple compression algorithms, group characters together based on their contexts. This technique makes use of the context on only one side of each character so that the probability of finding a character closer to another instance of the same character is increased substantially. The transformation does not itself compress the data, but reorder it to make it easy to compress with simple algorithms such as move-to-front coding in combination with Huffman or arithmetic coding [2]. Lossless compression is preferred for artificial images such as technical drawings, icons or comics. This is because lossy compression methods when used especially at low bit rates, introduce compression artifacts. It can also be used for high value content, such as medical imagery or image scans in health industry where there is archiving of large number of images. Lossless compression increases the efficiency of sharing and viewing personal images, uses less storage space and is quicker in transmission and reception of images [3].