Miracle-dz/UniFAR-FTUs huggingface dataset:
The putative histone-like transcription factor FgHltf 1 is required for vegetative growth , sexual reproduction , and virulence in Fusarium graminearum

The target of rapamycin (TOR) signaling pathway plays critical roles in regulating vegetative development and virulence in Fusarium graminearum. Previously, we have demonstrated that the putative type 2A phosphatase FgPpg1, a downstream component of the pathway, is important for hyphal growth, sporulation, DON biosynthesis and virulence. Here, we report the identification of FgHLTF1 putatively encoding a histone-like transcription factor by the transcriptome analysis of an ΔFgppg1 mutant. The FgHLTF1 expression was significantly down-regulated by the deletion of FgPPG1 or treatment with rapamycin. Analysis of an F. graminearum strain expressing green fluorescent protein (GFP) revealed that FgHltf1-GFP fusion protein mainly localized to the nucleus. Targeted gene deletion mutants of FgHLTF1 exhibited a significant reduction in vegetative growth, sexual reproduction and virulence. Moreover, the growth of the ΔFghltf1 mutants was restricted by hyperosmotic stresses. Unlike the wild-type strain, the mutants showed anomalous subcellular translocation of FgHog1-GFP under hyperosmotic conditions, suggesting that FgHLTF1 is associated with the high osmolarity glycerol response pathway. Taken together, we conclude that FgHLTF1 is transcriptionally regulated by the TOR signaling pathway and plays important roles in regulating vegetative growth, sexual reproduction, virulence and hyperosmotic stresses in F. graminearum.
An efficient clustering method of assigning nearest cluster center

K-means is a numerical, unsupervised, non-deterministic, simple iterative cluster method. k-means algorithm computes the distances between data point and all centers in iterative process, this is computationally very expensive especially for huge datasets. we propose an improved k-means algorithm to preprocess an efficient way for assigning data points to clusters. The improved method avoids large number of iterations, and saves running time. Experimental results show that the improved method can effectively improve the speed of clustering and accuracy, reducing the computational complexity of the k-means.
Quality Guidelines for the Protection of Environmental and Human Health VANADIUM 1997

Vanadium (CAS 7440-62-2) is a transition metal with a atomic number of 23 and an atomic weight of 50.94. It is silvery-white ductile metal with two naturally occurring isotopes. Like other elements in the transition grou vanadium forms numerous and frequently complicat compounds because of its many valence states, which range from +2 to +5, with +5 being the principle oxidatio state (Lagerkvist et al. 1986). Vanadium can act as a m or nonmetal and can form both cationic and anionic sa but the exact nature of many of its ions in aqueo solution in still unknown.
Title The relative influence of abundance and priority effects on colonization success in a coral-reef fish Permalink

The sequence of species colonization is increasingly recognized as an important determinant of community structure, yet the significance of sequence of arrival relative to colonizer abundance is seldom assessed. We manipulated the magnitude and timing of coral-reef fish settlement to investigate whether the competitive dominance of early-arriving Ambon damselfish (i.e., a priority effect) decreased in strength with increasing abundance of late-arriving lemon damselfish. Sequence of arrival had a stronger effect on survival than the number of competing individuals. Relative to when both species arrived simultaneously, lemon damselfish were less aggressive, avoided competitive interactions more frequently and experienced depressed survival when they arrived later than Ambon damselfish, with these effects occurring independently of lemon damselfish abundance. These results suggest priority effects are more important than colonizer abundance and should motivate the integration of priority effects into future studies of density dependence to determine their relative importance.
ALS 5 / SPG 11 / KIAA 1840 mutations cause autosomal recessive axonal Charcot – Marie – Tooth disease

Charcot–Marie–Tooth disease is a group of hereditary peripheral neuropathies that share clinical characteristics of progressive distal muscle weakness and atrophy, foot deformities, distal sensory loss, as well as diminished tendon reflexes. Hundreds of causative DNA changes have been found, but much of the genetic basis of the disease is still unexplained. Mutations in the ALS5/SPG11/KIAA1840 gene are a frequent cause of autosomal recessive hereditary spastic paraplegia with thin corpus callosum and peripheral axonal neuropathy, and account for 40% of autosomal recessive juvenile amyotrophic lateral sclerosis. The overlap of axonal Charcot–Marie– Tooth disease with both diseases, as well as the common autosomal recessive inheritance pattern of thin corpus callosum and axonal Charcot–Marie–Tooth disease in three related patients, prompted us to analyse the ALS5/SPG11/KIAA1840 gene in affected individuals with autosomal recessive axonal Charcot–Marie–Tooth disease. We investigated 28 unrelated families with autosomal recessive axonal Charcot–Marie–Tooth disease defined by clinical, electrophysiological, as well as pathological evaluation. Besides, we screened for all the known genes related to axonal autosomal recessive Charcot–Marie-Tooth disease (CMT2A2/HMSN2A2/MFN2, CMT2B1/LMNA, CMT2B2/MED25, CMT2B5/NEFL, ARCMT2F/dHMN2B/HSPB1, CMT2K/GDAP1, CMT2P/LRSAM1, CMT2R/TRIM2, CMT2S/IGHMBP2, CMT2T/HSJ1, CMTRID/COX6A1, ARAN-NM/HINT and GAN/GAN), for the genes related to autosomal recessive hereditary spastic paraplegia with thin corpus callosum and axonal peripheral neuropathy (SPG7/PGN, SPG15/ZFYVE26, SPG21/ACP33, SPG35/FA2H, SPG46/GBA2, SPG55/C12orf65 and SPG56/CYP2U1), as well as for the causative gene of peripheral neuropathy with or without agenesis of the corpus callosum (SLC12A6). Mitochondrial disorders related to Charcot–Marie–Tooth disease type 2 were also excluded by sequencing POLG and TYMP genes. An additional locus for autosomal recessive Charcot–Marie– Tooth disease type 2H on chromosome 8q13-21.1 was excluded by linkage analysis. Pedigrees originated in Italy, Brazil, Canada, England, Iran, and Japan. Interestingly, we identified 15 ALS5/SPG11/KIAA1840 mutations in 12 families (two sequence variants were never reported before, p.Gln198* and p.Pro2212fs*5). No large deletions/duplications were detected in these patients. The novel mutations seemed to be pathogenic since they co-segregated with the disease in all pedigrees and were absent in 300 unrelated controls. Furthermore, in silico analysis predicted their pathogenic effect. Our results indicate that ALS5/SPG11/KIAA1840 is the causative gene of a wide spectrum of clinical features, including autosomal recessive axonal Charcot–Marie–Tooth disease.
Impact of Duty Cycle Variation on WSNs 1

Wireless Sensor Networks (WSNs) operate with varying duty cycles to meet their application-specific criteria such as the availability, reliability, and the life expectancy of the system. This variation in duty cycle consequently affects the system characteristics including the interference and collision of signals. However, the sensitivity to physical jamming attacks with respect to duty cycle of the network is not widely explored area of research. This paper presents a detailed analysis of the effect of the duty cycle to the interference and collision of signals in the WSNs. In particular, our simulation model depicts a log normal shadowing model to represent a realistic wireless channel and observe the effects of duty cycle variation when a physical jamming attack is launched on the network using a compromised node. Our results show that setting the duty cycle at predetermined value would help minimize the packet drop ratio of the network. Keywords-Duty Cycle; Packet Drop Ratio; Wireless Communication, Deployment
Classification and Identification of Diabetic Retinopathy Severity Stages in Thai Patients Using Deep Learning Based Convolution Neural Network

Diabetic retinopathy (DR) is one of the complications caused by long-term diabetes, which has an effect on vision quality of the patient leading eventually to permanent vision loss. This research has developed an automated method for screening and identifying the severity of diabetic retinopathy in Thai patients by using image processing principles together with a Deep Learning (DL) technique based Convolution Neural Network (CNN). The purposed method was used to learn from 9,900 color fundus retinal images and tested with 3,300 sets of DR images. The results showed 99.36% accuracy level and 99.48% of sensitivity level when compared with the diagnosis made by an ophthalmologist.
Many-Server Queues with Autoregressive Inputs

Recent studies have revealed the presence of significant autocorrelation and overdispersion in arrival data at large call centers. Motivated by these findings, we study a class of queueing systems where customers arrive according to a doubly stochastic Poisson point process whose intensities are driven by a time-dependent Cox-Ingersoll-Ross (CIR) process. The nonnegativity and autoregressive feature of the CIR process makes it a good candidate for modeling temporary dips and surges in arrivals. We conduct performance analysis of such systems. In particular, we study asymptotic performances such as the queue length and customer delays. The results acknowledge the presence of autoregressive structure in arrivals and produce operational insights into staffing decisions.
BESSH-16 Customer and Firm Technical Knowledge Integration in Product Service System Development

This research provides a conceptual view about knowledge creation in PSS development. This research has threefolds: first, the research compares several methodologies of PSS development in the current literature and propose a new one; second, the research describes the integration of customer knowledge and firm technical knowledge during PSS development; and third, the research illustrates knowledge creation process during the development of PSS. The comparison of several PSS development methodologies has led us to several crucial phases that includes planning, concept and design, production, use-phase and dematerialization. The PSS development phase requires customer experience to create novelty ideas especially from the use-phase to incorporate customer needs into new product design and development. © 2016 The Authors. Published by Academic Fora. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the Scientific & Review committee of BESSH2016. Keywords― Knowledge Creation, PSS, Customer Knowledge, Firm Technical Knowledge
Chapter 3 Top Scoring Pair Decision Tree for Gene Expression Data Analysis

Classification problems of microarray data may be successfully performed with approaches by human experts which are easy to understand and interpret, like decision trees or Top Scoring Pairs algorithms. In this chapter, we propose a hybrid solution that combines the above-mentioned methods. An application of presented decision trees, which splits instances based on pairwise comparisons of the gene expression values, may have considerable potential for genomic research and scientific modeling of underlying processes. We have compared proposed solution with the TSP-family methods and decision trees on 11 public domain microarray datasets and the results are promising.
Contrastive Rhetoric and the Japanese Writer of EFL Waiching

In the last two decades, contrastive rhetoric (CR) has expanded tremendously in scope. It has gone beyond text analysis to include investigations of political and historical contexts for writing as well as cross-cultural differences in the composing process. The fundamental attitude ofCR toward L2text production as interfered with by Ll rhetoric, however, remains unchanged. Taking this deterministic approach, the author discusses the pedagogical implications of CR research for L2 writing teachers. More specifically, suggestions are made with reference to English and Japanese rhetorics as to how L2 teachers can take advantage oflearners' Ll rhetoric in the orienting process to L2 writing. The foci of discussion are on the similarities and differences between English and Japanese texts in terms of organizational style, use of logi~ and relative relationship between writer and reader, and instructional methods of Japanese and English writing in Japan. The discourse patterns under discussion include expository, argumentative, and technical writing.
An AI for Dominion Based on Monte-Carlo Methods

To the best of our knowledge there exists no Artificial Intelligence (AI) for Dominion which uses Monte Carlo methods, that is competitive on a human level. This thesis presents such an AI, and tests it against some of the top Dominion strategies available. Although in a limited testing environment, the results show that our AI is capable of competing with human players, while keeping processing time per move at an acceptable level for human players. Although the approach for our AI is built on previous knowledge about Upper Confidence Bounds (UCB) and UCB applied to Trees (UCT), an approach for handling the stochastic element of drawing cards is presented, as well as an approach for handling interaction between players. Our best solutions win 87.5% games against moderately experienced human players, and outperforms the successful, rule-based, Dominion strategies SingleWitch and DoubleWitch both with a win percentage of 68.5%.
Effects of GSK 2606414 on cell proliferation and endoplasmic reticulum stress ‐ associated gene expression in retinal pigment epithelial cells

GSK2606414 is a novel, highly selective inhibitor of protein kinase R-like endoplasmic reticulum kinase (PERK). GSK2606414 and its analogues have recently been demonstrated to delay tumor growth and prevent neurodegeneration. The present study investigated the effects of GSK2606414 on proliferation, apoptosis, and the expression of activating transcription factor 4 (ATF4), CCAAT/enhancer-binding protein homologous protein (CHOP) and vascular endothelial growth factor (VEGF) in human retinal pigment epithelial (RPE) cells under endoplasmic reticulum (ER) stress. ARPE-19 human RPE cells were treated with 0.01-50 μM GSK2606414, and ER stress was induced by thapsigargin (TG) treatment. Cell proliferation was assessed using the Cell Counting kit-8 cell viability assay. Apoptosis was detected by Annexin-V/propidium iodide double staining using flow cytometry. Western blot analysis was used to measure eukaryotic initiation factor 2α (eIF2α) phosphorylation levels. ATF4, CHOP and VEGF mRNA expression levels were assessed using reverse transcription-quantitative polymerase chain reaction. GSK2606414 treatment inhibited RPE cell proliferation in a dose-dependent manner, however it did not induce apoptosis. In addition, GSK2606414 treatment inhibited eIF2α phosphorylation and reduced CHOP and VEGF mRNA expression levels in RPE cells under TG-induced ER stress. To the best of our knowledge, the present study is the first to demonstrate that GSK2606414 has a potential antiproliferative effect in RPE cells in vitro. This effect appeared to be achieved via inhibition of the PERK/ATF4/CHOP signaling pathway and suppression of VEGF expression levels.
Expert Consensus Statement on Pacemaker Device and Mode Selection Developed in partnership between the Heart Rhythm Society ( HRS ) and the American College of Cardiology Foundation ( ACCF ) and in collaboration with the Society of Thoracic Surgeons

Anne M. Gillis, MD, FHRS, Andrea M. Russo, MD, FHRS, FACC, Kenneth A. Ellenbogen, MD, FHRS, FACC, Charles D. Swerdlow, MD, FHRS, CCDS, FACC, Brian Olshansky, MD, FHRS, CCDS, FACC, Sana M. Al-Khatib, MD, MHS, FHRS, CCDS, FACC, John F. Beshai, MD, FHRS, FACC, Janet M. McComb, MD, FHRS, Jens Cosedis Nielsen, MD, Jonathan M. Philpott, MD, Win-Kuang Shen, MD, FHRS, FACC From University of Calgary, Libin Cardiovascular Institute of Alberta, Alberta, Canada, Cooper Medical School of Rowan University, Cooper University Hospital, New Jersey, USA, Virginia Commonwealth University Medical Center, irginia, USA, David Geffen School of Medicine at UCLA, California, USA, University of Iowa Hospital, Iowa, USA, Duke University Medical Center, North Carolina, USA, University of Chicago Hospitals, Illinois, USA, Freeman ospital, Newcastle-upon-Tyne, United Kingdom, Skejby Hospital, Aarhus, Denmark, Mid-Atlantic Cardiothoracic Surgeons, Virginia, USA, Mayo Clinic College of Medicine, Arizona, USA. Representing the Society of Thoracic Surgeons
SUPERCONDUCfING MATERIAL ( YBa 2 Cu 307 ) AND QUARTZ ( Si 02 ) ON BOVINE ALVEOLAR MACROPHAGES

A very interesting and technically fossibly important new development during the last three years is the detection 0 ceramic high-temperature superconducting materials. For theoretical as well as practical reasons it was interesting to test the possible influence of particles of this material on alveolar macropha~es. It is well known that metal oxides can be toxic to these cells and that lung dIseases can be induced by certain metals. In the following paper the first results obtained with one type of high-temperature superconducting material are described, these results indicate that particles of this material are not inert.
AN EFFECT OF GRID QUALITY ON THE RESULTS OF NUMERICAL SIMULATIONS OF THE FLUID FLOW FIELD IN AN AGITATED VESSEL

The effects of the grid density and geometrical mesh quality on the results of numerical simulations of the fluid flow field in an agitated vessel equipped with up-pumping pitched blade turbine PBT 6 are presented in the paper. The computations were performed for turbulent range of a Newtonian liquid flow in a vessel of inner diameter T = 0.295 m. Simulations were carried out for six numerical grids using ANSYS CFX 13 software. Shear Stress Transport (SST) model was used as turbulence model. Multiple Reference Frame or Sliding Mesh approaches were applied to model the movement of the impeller. For each numerical grid, the following geometrical measures of mesh quality were compared: orthogonality factor, mesh expansion factor and mesh aspect ratio. The study revealed that the results of the numerical modelling of the fluid flow field in the agitated vessel depend on the grid density and geometrical mesh quality.
GP consultations for common mental disorders and subsequent sickness certification : register-based study of the employed population in Norway

Background. Challenges related to work are in focus when employed people with common mental disorders (CMDs) consult their GPs. Many become sickness certified and remain on sick leave over time. Objectives. To investigate the frequency of new CMD episodes among employed patients in Norwegian general practice and subsequent sickness certification. Methods. Using a national claims register, employed persons with a new episode of CMD were included. Sickness certification, sick leave over 16 days and length of absences were identified. Patientand GP-related predictors for the different outcomes were assessed by means of logistic regression. Results. During 1 year 2.6% of employed men and 4.2% of employed women consulted their GP with a new episode of CMD. Forty-five percent were sickness certified, and 24 percent were absent over 16 days. Thirty-eight percent had depression and 19% acute stress reaction, which carried the highest risk for initial sickness certification, 75%, though not for prolonged absence. Men and older patients had lower risk for sickness certification, but higher risk for long-term absence. Conclusion. Better knowledge of factors at the workplace detrimental to mental health, and better treatment for depression and stress reactions might contribute to timely return of sickness absentees.
Perceptual coding for 3D reconstruction

A primary issue in 3D reconstruction is the realtime efficacy of different coding methods for the multiple decisions among competing 3D solutions. A common model framework making such coding decisions is the boundary limited drift-diffusion model, which has been developed in parallel in various branches of science from quantum physics to economics. A common property of all such models is the linear increase in variance of the diffusion processes over time, implying an inability to focus on the current information in the environment, and the inevitability of a forced random decision in the absence of any reliable evidence. We have developed an alternative, more plausible model framework for Bayesian information accumulation that solves both problems and provides an accurate account of many features of context effects in human 3D reconstruction performance.
Towards the Standardization of Grant-free Operation and the Associated NOMA Strategies in the 3 GPP

The dramatic increase in Internet traffic to and from wireless devices poses significant challenges for network operators. While the current growth of traffic is mostly due to consumers communicating more frequently and larger amounts of data over the wireless infrastructure, much of the future growth is predicted to originate from non-human operated devices or the so-called Internet of Things (IoT) communication. The third generation partnership project (3GPP) standardization activities towards the fifth-generation (5G) cellular systems envisages two IoT-centric scenarios massive machine type communications (mMTC) and ultra reliable low latency communications (URLLC). In this article, we quantify the advantages of grantfree operation for 5G mMTC using latency, signaling overhead and power consumption aspects. We propose the high-level design of a new grant-free state of operation and explain its interaction with the legacy long term evolution (LTE) operating states. We also describe promising grant-free NOMA solutions with respect to synchronization and hybrid automatic repeat request (HARQ), and resource collision handling procedures. Our discussion and proposal relate closely to the current 5G standardization activities in the 3GPP and highlight solutions that can be easily integrated to the current LTE framework. Keywords—Grant-free, long term evolution (LTE), 5G New Radio (NR), non-orthogonal multiple access (NOMA).
Performance Study of Cryptography Based Dynamic Multi-Keyword Searchable Security Algorithm in Cloud using CRSA / B +

Today, Cloud computing is a buzz word in IT industry. Cloud, a shared pool of computing resources, allows access to needed resources on demand through internet and web applications. Since data is outsourced to third party, user needs to maintain the accountability of their data in cloud. Hence preserving the confidentiality and securing the sensitive data in cloud is a major concern. Many cryptographic techniques have been proposed by researchers to assure the confidentiality of the user’s data in cloud. But, the challenging task is to provide the secure search over this preserved data which has been encrypted so as to retrieve the effective data. Hence, we are proposing a system to have a secure search over the encrypted data on the cloud which preserves its confidentiality. In our system, a noble approach has been made using the Commutative-RSA algorithm, a cryptographic technique where the dual encryption takes place thus reducing the overall computation overhead. The search operation over the encrypted data is based on the tree search algorithm which supports multi-keyword search. Based on the relevance score, the more appropriate data is retrieved on the search operation. Using this approach, the information is not leaked when the encrypted data is searched by users and also the queries are handled in an efficient way. Finally, we demonstrate the effectiveness and efficiency of the proposed schemes through extensive experimental evaluation.