Miracle-dz/UniFAR-FTUs huggingface dataset:
Regulation of EphB2 activation and cell repulsion by feedback control of the MAPK pathway

In this study, we investigated whether the ability of Eph receptor signaling to mediate cell repulsion is antagonized by fibroblast growth factor receptor (FGFR) activation that can promote cell invasion. We find that activation of FGFR1 in EphB2-expressing cells prevents segregation, repulsion, and collapse responses to ephrinB1 ligand. FGFR1 activation leads to increased phosphorylation of unstimulated EphB2, which we show is caused by down-regulation of the leukocyte common antigen–related tyrosine phosphatase receptor that dephosphorylates EphB2. In addition, FGFR1 signaling inhibits further phosphorylation of EphB2 upon stimulation with ephrinB1, and we show that this involves a requirement for the mitogen-activated protein kinase (MAPK) pathway. In the absence of activated FGFR1, EphB2 activates the MAPK pathway, which in turn promotes EphB2 activation in a positive feedback loop. However, after FGFR1 activation, the induction of Sprouty genes inhibits the MAPK pathway downstream of EphB2 and decreases cell repulsion and segregation. These findings reveal a novel feedback loop that promotes EphB2 activation and cell repulsion that is blocked by transcriptional targets of FGFR1.
POTENTIAL MODULATION OF DISEASE ACTIVITY INDICES AND INFLAMMATORY BIOMARKERS IN PATIENTS WITH ACTIVE INFLAMMATORY BOWEL DISEASE ON MELATONIN ADJUVANT THERAPY

Objective: The objective of this study was to explore the benefits of melatonin supplementation in the active stage of moderate to severe inflammatory bowel diseases (IBDs) as an adjuvant to the standard immunosuppressant and biological targeting therapy in both Crohn’s disease (CD) and ulcerative colitis (UC) patients.Methods: This is an interventional prospective randomized controlled, open-label, single-center study was carried out on 50 patients visiting the biological unite diagnosed as moderate-severe active IBD. Melatonin adjuvant was added to the standard treatment. Results: Disease activity indices showed significant improvement in both diseases after melatonin adjuvant therapy compared to the standard treatment alone (CD −61.80 vs. 36.48%), (UC −74.48% vs. −46.66%) (p<0.01). The erythrocyte sedimentation rate (ESR) level showed higher percent of reduction after melatonin adjuvant in both diseases (p<0.05). CD patients presented with slight reduction in matrix metalloproteinases-9 (MMP-9) level following on melatonin adjuvant therapy compared to standard therapy (p˃0.05). At baseline, a significant correlation between severity scores of both diseases and both ESR and MMP-9 in UC patients, but after treatment, only the ESR level was correlated to the improvement in disease score in CD patients.Conclusion: Melatonin produced marked improvement in the disease activity status in both CD and UC after receiving melatonin adjuvant in active stage of disease, and notable modulation of inflammatory biomarkers with no clear role on MMP-9 expression.
JCB_201409056 1..15

The Rockefeller University Press $30.00 J. Cell Biol. Vol. 208 No. 6 745–759 www.jcb. org/cgi/doi/10.1083/jcb.201409056 JCB 745 Correspondence to Katrin Karbstein: kkarbst@scripps.edu Abbreviations used in this paper: 1NA-PP1, 1(1, 1dimethylethyl)3(1naphthalenyl)1Hpyrazolo[3, 4d]pyrimidin4amine; AF, assembly factor; CK1, casein kinase 1; cryo-EM, cryogenic EM; Dox, doxycycline; rRNA, ribosomal RNA. Introduction
Métabolisme et traduction des ARN mitochondriaux chez la levure S. pombe

Les mitochondries sont des organites presents dans la plupart des cellules eucaryotes et specialises dans la production d'energie, via la chaine respiratoire localisee dans leur membrane interne. Les mitochondries possedent leur propre genome et leur propre systeme d'expression participant a la biogenese des complexes respiratoires. En particulier la machinerie de traduction mitochondriale, comme les complexes respiratoires, est d'origine genetique double, nucleaire et mitochondriale. De nombreuses maladies humaines resultent de defauts de l'expression des genes mitochondriaux et en particulier de mutations de facteurs impliques dans la traduction mitochondriale. La levure Schizosaccharomyces pombe est un modele de choix pour identifier ces facteurs et comprendre leur fonctionnement car c'est un micro-organisme simple et physiologiquement plus proche des eucaryotes superieurs que ne l'est Saccharomyces cerevisiae. Lors de ma these j'ai tout d'abord participe a la mise en place de nouveaux outils permettant de mieux comprendre le fonctionnement de la traduction mitochondriale, en etiquetant le mitoribosome de S. pombe au niveau de la petite et de la grande sous-unite. Par la suite j'ai mis au point des experiences de fractionnement sur gradient de saccharose pour analyser la sedimentation du ribosome associe ou dissocie et tester si des facteurs donnes sont lies au mitoribosome. Dans un second temps je me suis interesse a des facteurs qui pouvaient etre impliques dans la terminaison de la traduction. En fait le seul facteur de reconnaissance des codons stop connu chez S. pombe, Mrf1, n'est pas essentiel, et j'ai cherche a comprendre pourquoi. Deux enzymes, des Peptidyl ARNt hydrolase (Pth) nommees Pth3 et Pth4 possedant toutes deux un motif GGQ comme Mrf1, semblaient etre de bons candidats pour expliquer que S. pombe puisse se passer de Mrf1. J'ai montre que ces facteurs jouent un role dans la biogenese mitochondriale et plus precisement que Pth4 est a la fois un suppresseur multicopie et un gene letal synthetique de l'absence de Mrf1. Pour finir j'ai travaille sur une famille de proteines de S. pombe predites comme impliquees dans le metabolisme des ARN mitochondriaux : les proteines a Pentatrico Peptide Repeat (PPR). Ainsi il existe au moins 9 proteines PPR chez S. pombe nommee de Ppr1 a Ppr8 ainsi que l'ARN polymerase mitochondriale, Rpo41. L'etude de ces proteines PPR a permis de mettre en evidence qu'elles interviennent toutes dans le metabolisme des ARN a differentes etapes, majoritairement stabilite et traduction, et qu'elles ont souvent des cibles specifiques. Par exemple la proteine Ppr3 est impliquee dans la stabilite du petit ARNr rns alors que Ppr4 est un activateur specifique de la traduction de cox1 et que Ppr2 est un activateur general de la traduction mitochondriale dont la cible reste a definir. Globalement, ces travaux montrent que S. pombe est un excellent modele des fonctions mitochondriales, aussi bien pour les etudes fondamentales que comme outil pour apprehender les organismes plus complexes comme l'homme.
A case report

Rationale: Palbociclib (PAL) is a first-in-class selective inhibitor of the cyclin-dependent kinases 4 (CDK4) and CDK6 and is indicated for the treatment of hormone receptor (HR)-positive/human epidermal growth factor receptor 2 (HER2)-negative metastatic breast cancer (MBC) in combination with fulvestrant (FUL) in postmenopausal women. Antrodia cinnamomea (AC), a well-known Chinese folk medicine in Taiwan, possesses numerous biological capabilities, most notably an anti-tumor effect. However, the clinical use of AC as complementary medicine combinedwith adjuvant therapy is unexplored. In this case report, we evaluated AC combined with PAL plus FUL to reduce the tumor burden in an MBC patient. Patient concerns: A Slovenian woman diagnosed with relapsed bone metastases of breast cancer (BC) was unable to undergo surgery and refused radiation therapy due to fear of side effects; she also feared the side effects of adjuvants. However, she was eager to live with a high quality of life. Diagnosis: Stage IV, HR-positive/HER2-negative BC with relapse of bone metastases. Interventions:After diagnosis of relapse of bone metastases, she received adjuvant with PAL plus FUL. Additionally, she chose to take AC orally (10g/d). Outcomes: The pain was mostly relieved, and the side effects of adjuvant therapy reduced. Magnetic resonance imaging revealed reduction of tumor size at the fifth month of adjuvant therapy plus AC. After 14 months of adjuvant therapy plus AC, the tumors at the thoracic vertebrae T1 and T3 were found to have shrunk from 35.2 and 12.0mm to 28.1 and 9.9mm, respectively. Remarkably, no further metastases were observed. Lessons:According to the circulating tumor cells (CTCs) test data, AC had better anti-tumor efficacy on active tumor cells than PAL plus FUL. Thus, AC could be an effective complementary medicine for adjuvant therapy in patients with HR-positive/HER2-negative MBC. Interestingly, continued elevation of carcinoma antigen 15-3 and lactate dehydrogenase levels but decreasing levels of alkaline phosphatase were observed, which may be indicative of the potent efficacy of treatment resulting in massive tumor cell death. The CTCs test may be a sensitive approach to monitor the progression of BC and subsequently evaluate the efficiency of therapy. Abbreviations: AC = Antrodia cinnamomea, ALP = alkaline phosphatase, ALT = alanine transaminase, AST = aspartate aminotransferase, BC = breast cancer, CA15-3 = carcinoma antigen 15-3, CDK = cyclin-dependent kinases, CEA = carcinoembryonic antigen, CT = computed tomography, CTCs = circulating tumor cells, FUL = Fulvestrant, Gy = gray, HER2 = human epidermal growth factor receptor 2, HR = hormone receptor, LDH = lactate dehydrogenase, MBC = metastatic breast cancer, MRI =magnetic resonance imaging, nagalase = alpha-N-acetylgalactosaminidase, OS = overall survival, PAL = Palbociclib, Rb = retinoblastoma protein.
Supplemental Material

Experimental Mathematics is a forum for documenting the experimental process in mathematics. Thus, starting with Volume 13, Issue 3, supplemental material that does not fit in the print format of an article will be placed on the journal's web site. (See publishing criteria and submission guidelines for items suitable for the print version.) These supplements may include anything that will support the reliability and reproducibility of the result, and the relevance of the paper. For example:
The Chemotaxonomic Changes in Phenylpropanoids Compounds Related to the Harvest Time during Leaves Development in Three Phlomis sp

In this study, changes in the levels of none flavonoids, flavonoids and radical scavenging capacity (RSC) during development stages of three phlomis sp leaves were investigated. The total phenolic acid (TPA) and total flavonoids contents (TF) were significantly influenced by the species, harvests and species × harvests interaction (p≤0.05). The individual phenolic acid (cinnamic, p-coumaric and caffeic) decreased in mature leaves, while complex phenolic (benzoic, salicylic, gallic, rosmarinic and lignanglucoside) increased showed significantly variable synthesize trends (p≤0.05). The chrysoeriol p-coumaroylglucoside, chrysoeriol, luteolin 7-o-glucuronide, chrysoeriol 7-o-glucuronide, and chrysoeriol 7-o-glucoside that belong to the group of flavonoids had an opposite synthesize curve compared to naringenin, luteolin, luteolin 7-o-glucoside (p≤0.05). This study revealed that individual flavonoids and phenolic could be used as quantity descriptors for monitoring the synthesize variations and chemotaxonomic differences of flavonoids in phlomis leaves and may be useful in determining the optimal harvest time at which TPA and TF reaches a maximum level in harvesting time.
Yeast Researchers Consider Hailey|[ndash]|Hailey Disease

In the past, if dermatology researchers considered yeasts at all, it was usually with the intention of eradicating them. Yet the yeast Saccharomyces cerevisiae has proven to be a workhorse in many types of research, due to the ease with which its genome can be manipulated. Two reports in this issue detail how experiments using yeast mutants can reveal the cell biology of proteins common to yeast and mammalian cells.
Philippine License Plate Detection and Classification using Faster R-CNN and Feature Pyramid Network

The advancement of image and video processing using Artificial Intelligence (AI) have brought more significance to the role of Automatic License Plate Recognition (ALPR) systems in law enforcement and intelligent transport systems (ITS). However, the adaptation of such a system in the Philippines has been a challenge due to the different variations of Philippine license plates. In this paper, a neural network-based model for the detection and classification of different Philippine license plate formats is proposed. The proposed method classifies license plates into four categories — 1981, 2003, 2014, and other series.
Analysis and Control of a Novel Transformer-less Grid-Connected Single-Stage Solar-Inverter using PR -Controller

This paper proposes a novel grid-connected transformer-less inverter topology with boost converter followed by flyback inductor inverter. The proposed inverter is of common-ground type, hence the leakage current flow between PV-panel and ac-grid is zero which is desired in transformer-less inverters. The proposed inverter provides symmetrical voltage gain both positive and negative, hence any simple PWM technique can be implemented. The proposed inverter detailed steady state analysis, and the design equations are presented. The inverter small-signal model is developed, and the detailed design of PR-controller is presented for inverter closed-loop operation with grid. The inverter analysis and the designed controller are verified with the both simulation and experimental results.
Performance Analysis of Incremental Relaying in Multi-Hop Relay Networks

Incremental relaying (IR) is shown to improve the end-to-end throughput of multi-hop relay networks. In this paper, two IR strategies under perfect and imperfect channel state information (CSI) scenarios are investigated. In each hop, relays which are able to correctly decode the message from the previous hop form a decoding set. In the first strategy named IR with best-last arbitrary-rest (IR-BLAR), one relay is arbitrarily selected from the decoding set to retransmit the message, except that in the last decoding set the relay which has the highest signal-to-noise ratio (SNR) to the destination is selected for retransmission. In the second strategy called IR with maximum decoding set (IR-MaxDS), in each decoding set one relay which has the largest number of “good” channels in the following hop is selected, except that in the last hop relay selection is the same as IR-BLAR. The performance of these strategies is analyzed in terms of end-to-end outage probability and throughput in both perfect and imperfect CSI cases. Numerical results are presented from analysis which closely match those from simulations. It is shown that by applying IR, end-to-end outage probability and throughput can be significantly improved.
Design and Analysis of a Small Implantable Antenna for Blood Glucose Monitoring

In this paper, two miniaturized antennas of two different dimensions has been designed and analyzed for continuous monitoring of Blood Glucose Levels (BGL). The performance of these two antennas are analyzed numerically in free space operation. The results show that both the antennas work excellently in this scenario. These antennas operate at frequencies of 2.49 Giga Hertz and 2.94 Giga Hertz with gains 1.25 decibel and 2.03 decibel respectively. Owing to good performance, small size and buoyancy to many of the effects made by the human body will prove that the antenna will have a very good potential use in the future work of glucose monitoring.
The Role of ICT in Project-Based Learning: A Literature Review

The term project-based learning refers to the involvement of a group of students for completing a project in achieving deep understanding and therefore getting different learning outcomes. One of the major challenges of preparing for PBL is to ensure that students have adequate research resources and are prepared to conduct their research and connect with mentors. ICT is an established acronym for the word Information and Communication Technology used widely as different forms for multi-purposes. It includes several innovations and technological tools used to interact, distribute, store and handle data. Use of ICT in colleges by students and teachers have now become a requirement because it could be used to improve the performance of effective teaching and learning in any tertiary institutions. This paper provides a discussion regarding using Project-based learning in teaching through the application of ICT, and the need for PBL. Finally, this paper proposes some recommendations for the growth of ICT knowledge in the teaching practice of the institution.
Analysis of Subway Passenger Flow for a Smarter City: Knowledge Extraction From Seoul Metro’s ‘Untraceable’ Big Data

Timely and efficient analysis of big data collected from various gateways installed in a smart city is an intractable problem and requires immediate priority. Given the stochastic and massive nature of big data, the existing literature often relies on artificial intelligence techniques based on information theory. As a new approach, this paper presents a knowledge extraction method based on an analysis of Seoul Metro’s ’untraceable’ ridership big data. Without identification information, the untraceable ridership data only shows the hourly accumulation of station entry and exit information. To reconstruct the missing information in the data set, this study proposes a fluid dynamics model and adopts a heuristic genetic algorithm based on optimization theory as the problem solver. The result of our model presents the distribution of the elapsed time defined on an hourly basis taken until a passenger returns to the station they departed from. To validate our model, we acquired subway ridership data with passengers’ identification with permission from Seoul Metro. This paper presents two novel aspects of subway ridership, namely the dependency on departure time and the discrepancy between weekend and weekday traffic. Our analytical approach contributes to solving the problem of extracting hidden knowledge from big collection of data missing critical information, e.g., constantly and autonomously gathered data fragments from numerous gateways in smart cities.
Multiple Choice Question Answer System using Ensemble Deep Neural Network

Question answer (QA) system is closely related to NLP and IR tasks. An automated QA system should understand the semantics of question and derive answers relevant to it. In case of MCQ system this tasks becomes difficult as the model needs to understand the semantics and select an answer from a given choice. In this paper we propose a ensemble approach to predict answers to Multiple choice question using LSTM model, hybrid LSTM –Convolution NN model and Multilayer Perception (MLP) model. Firstly, by using LSTM and hybrid LSTM-CNN models are trained parallel. Multilayer Perception is used to predict option to training dataset separately. The 8thGr-NDMC datasets are selected for model evaluation and comparison. The 8th GR-NDMC is used for experimentation purpose. The observed results demonstrate that the proposed approach performs better than some other single forecasting models.
Smart Logic-in-Memory Architecture For Ultra-Low Power Large Fan-In Operations

The need for processing the continuously growing amount of data that is produced every day is promoting research for the development of energy-efficient non-von Neumann computing architectures. Over the last decade, resistive RAM (RRAM) devices together with material implication logic (IMPLY) were proposed as a promising solution for the development of low-power logic-in-memory (LIM) circuits. Still, the high design complexity and the low reliability of these circuits are hindering their practical realization. It is only recently that a new smart IMPLY architecture, named SIMPLY, was proposed and shown to drastically improve circuit reliability and energy efficiency of IMPLY-based LIM circuits. In this work, we introduce a new smart operation, called sFALSE, enabled by the SIMPLY architecture, and verify its feasibility using a physicsbased RRAM compact model calibrated on three different technologies. We highlight the significant advantage of the proposed solution vs. ordinary IMPLY architecture in terms of energy reduction, especially for large fan-in logic operations (e.g., n-bits NAND and EXOR).
A Systematic Review of UTAUT and UTAUT2 as a Baseline Framework of Information System Research in Adopting New Technology: A case study of IPV6 Adoption

This paper reviews the most recent literature on UTAUT/ UTAUT 2 (Unified Theory of Acceptance, and Use of Technology) by focusing on the findings and recommended future research. To meet this aim, the authors conduct an in-depth analysis of the current literature by using the systematic review method. This research paper is conceptual in origin, and it was supplemented by analysis 65 papers from various websites which hosted scientific journals. These papers employed UTAUT and UTAUT 2 as a baseline framework. The researchers focused on findings in these papers and on the core constructs of UTAUT used to predict behavioral intentions. The results from the previous studies confirmed that the four core constructs of UTAUT/UTAUT2 contributed to understanding of the behavioral intention to accept / adopt or use the technology and the performance expectancy (PE) has significantly correlated with technology adoption. Moreover, the previous studies show that UTAUT 2 has been more explanatory in predicting behavioral intentions and should be used for the future works in adopting any new technology.
The Optimized Small Incidence Angle Setting of a Composite Bragg Scattering Model and its Application to Sea Surface Wind Speed Retrieval

The normalized radar cross section (NRCS) of microwave backscattering from a rough sea surface can be described by a composite Bragg scattering (CBS) model, which is a combination of a two-scale backscatter model and a geometric optics model. For small local radar incidence angles that are smaller than a given angle setting, the two-scale backscattering mechanism of the sea surface is replaced by a geometric optics solution for specular reflection. In this study, an optimized setting of 18 degrees for the small incidence angle is determined by comparing the NRCSs between 52 RADARSAT-2 (R2) synthetic aperture radar (SAR) images and the CBS model with simultaneous sea surface wind derived by meteorological mooring buoys located in the northern South China Sea. By using the CBS model with the optimized incidence angle setting of 18° and the nearly simultaneous wind directions of the Advanced Scatterometer (ASCAT) as the input, sea surface wind speeds are retrieved from 46 R2 SAR images at C-band and from 2 COSMO-SkyMed (CSK) SAR images at X-band for the application study. The average root mean square error of the C-band R2 SAR retrieval results validated against nearly simultaneous measurements of ASCAT is 1.5 m/s, while the same value is 1.6 m/s for the X-band CSK SAR image. The results also indicate that the optimized small incidence angle setting of the CBS model found in this study is relatively reliable under sea surface wind speed conditions less than 14.0 m/s.
Identification of correspondents between a standard series collection and an experimental series collection

The article proposes a method of comparing a collection of series representing the experimental data characterizing a physical phenomenon with a collection of series representing data archived in a catalog, of the same phenomenon, having in addition to the experimental data collection a number of characteristics for each series included. The goal is to associate each series of the sample collection with a series in the catalogue collection through a “proximity”11The term proximity is put in quotation marks because, for the time being, it is not mathematically defined and will be defined in the course of the article. relationship based on a statistical estimator. Once the “closest” series in the catalogue is determined, for each series in the sample collection, the additional features corresponding to the catalogue series, “closest”, are associated with the series in the sample collection. The described process is one of the steps that attempt to improve a method of identifying physical properties of physical environments or objects.