Miracle-dz/UniFAR-FTUs huggingface dataset:
FOXP 1 to Enhance Glioblastoma Tumorigenicity Suppression of MicroRNA-9 by Mutant EGFR Signaling Upregulates

The EGF receptor (EGFR) is amplified and mutated in glioblastoma, in which its common mutation (DEGFR, also called EGFRvIII) has a variety of activities that promote growth and inhibit death, thereby conferring a strong tumor-enhancing effect. This range of activities suggested to us that DEGFR might exert its influence through pleiotropic effectors, and we hypothesized that microRNAs might serve such a function. Here, we report that DEGFR specifically suppresses one such microRNA, namely miR-9, through the Ras/PI3K/AKT axis that it is known to activate. Correspondingly, expression of miR-9 antagonizes the tumor growth advantage conferred by DEGFR. Silencing of FOXP1, a miR-9 target, inhibits DEGFR-dependent tumor growth and, conversely, derepression of FOXP1, as a consequence of miR-9 inhibition, increases tumorigenicity. FOXP1 was sufficient to increase tumor growth in the absence of oncogenic DEGFR signaling. The significance of these findings is underscored by our finding that high FOXP1 expression predicts poor survival in a cohort of 131 patients with glioblastoma. Collectively, these data suggest a novel regulatorymechanism bywhichDEGFR suppression ofmiR9 upregulates FOXP1 to increase tumorigenicity. Cancer Res; 74(5); 1429–39. 2014 AACR.
The Application of Grice Maxims in Conversation: A Pragmatic Study

Received: August 17, 2021 Accepted: September 22, 2021 Volume: 3 Issue: 10 DOI: 10.32996/jeltal.2021. 3.10. 4 In every individual’s life, communicating and interacting with others is vital for carrying out a healthy social and professional relationship. Strictly speaking, we, you and I communicate with one another in our day-to-day life and simply understand each other. Paul Grice’s has presented his cooperative principle theory to explain our day-to-day life conversation. This article aims to review the basic Grecian theory of conversational implicature, identifying important consequences, known problems, and useful extensions or modifications. This paper is about how people should consider meeting the cooperative principle in order to perform successfully in communication which is based mainly on Paul Grice’s theory of implicature which is considered one of the most important contributions to pragmatics. KEYWORDS
Revisiting Network Telemetry in COIN: A Case for Runtime Programmability

Applications based on the compute-in-the-network (COIN) paradigm require flexible network telemetry data to drive effective allocation decisions. Telemetry systems collect such data based on queries specifying the precise traffic metrics or features required. Recent advances in programmable switch hardware have led to highly efficient methods to compute query results using in-network resources. However, current approaches fail to meet the simultaneous requirements of dynamic traffic loads, diverse query types, and query dynamics. In this work, we argue that telemetry systems should be cast as active runtime schedulers rather than static data sources. COIN-based applications can then dynamically submit telemetry queries on the fly and react to their results in a closed-loop fashion – enabling a new generation of telemetry-driven reactive applications. As a first step toward this vision, we present a single-switch telemetry operation scheduling method. Our empirical evaluation demonstrates that such a method can reduce overhead by an order of magnitude compared to worst case allocations. This initial exploration opens the door to a multi-tier scheduling framework combining switch hardware with software-based compute platforms to meet the telemetry demands of future COIN-based applications.
RGB-D sensing of challenging deformable objects

—The problem of deformable object tracking is prominent in recent robot shape-manipulation research. Additionally, texture-less objects that undergo large deformations and movements lead to difﬁcult scenarios. Three RGB-D sequences of different challenging scenarios are processed in order to evaluate the robustness and versatility of a deformable object tracking method. Everyday objects of different complex characteristics are manipulated and tracked. The tracking system, pushed out the comfort zone, performs satisfactorily.
NUMERICAL ALGORITHMS ON THE AFFINE GRASSMANNIAN \ast

The affine Grassmannian is a noncompact smooth manifold that parameterizes all affine subspaces of a fixed dimension. It is a natural generalization of Euclidean space, points being zero-dimensional affine subspaces. We will realize the affine Grassmannian as a matrix manifold and extend Riemannian optimization algorithms including steepest descent, Newton method, and conjugate gradient, to real-valued functions on the affine Grassmannian. Like their counterparts for the Grassmannian, they rely only on standard numerical linear algebra and are readily computable.
How to Approximate Leximax-optimal Solutions

Many real-world problems can be modelled as Multi-Objective Combinatorial Optimisation (MOCO) problems. In the multi-objective case, there is not a single optimum value but a set of optima known as Pareto-optima. However, the number of Pareto-optima can be too large to enumerate. Instead, one can compute a minimum Pareto-optimum according to an order. The leximax order selects a Pareto-optimum such that the objec-tive functions with the worst values are penalised the least. Unlike other orders, such as the lexicographic order or the weighted sum order, the leximax order does not favour any objective function at the expense of others. Also, the leximax-optimum has a guaranteed small trade-oﬀ between the objective functions. In some real-world MOCO problems, the time to ﬁnd a solution may be limited and computing a leximax-optimal solution may take too long. In such problems, we search for solutions that can be computed in the given admissible amount of time and that are as close to the leximax-optimum as possible. In other words, we approximate the leximax-optimum. Inthis paper, we present and evaluate SAT-based algorithms and heuristics for approximating the leximax-optimum of Multi-Objective Boolean Satisﬁability problems. The evaluation is performed in the context of the package upgradeability problem, on the set of benchmarks from the Mancoosi International Solver Competition, with combinations of up to ﬁve diﬀerent objective functions.
The Gap between Visualization Research and Visualization Software in High-Performance Computing Center

Visualizing and monitoring high-performance computing centers is a daunting task due to the systems’ complex and dynamic nature. Moreover, different users may have different requirements and needs. For example, computer scientists carry out data analysis as batch jobs using various models, conﬁgurations, and parameters, and they often need to manage jobs. System administrators need to monitor and manage the system constantly. In this paper, we discuss the gap between visual monitoring research and practical applicability. We will start with the general requirements for managing high-performance computing centers and then share the experiences working with academic and industrial experts in this domain.
Assessment of microbiological quality of raw milk produced and commercialized around INES Ruhengeri, Musanze district, Rwanda

Milk contains high nutrients for humans and animal, but due to these high nutrients content and water it allows the growth of many types of microorganisms. In Rwanda, the dairy products are still commercialized in formal and informal markets. The milk sold in informal markets cause significant human health risks. The aim of the present study was the assessment the microbiological quality of raw milk produced and commercialized around INES Ruhengeri, Rwanda. Thirty milk samples were collected from 3 sectors of Musanze district, Rwanda and analyzed in food microbiology lab of INES Ruhengeri. The Total Viable Counts (TVC), E. coli and Staphylococcus aureus (S. aureus) had range from 2.3 × 105 cfu/ml to 9.1 × 105 cfu/ml, 1.8 × 102 to 2.9 × 102 cfu/ml and 1.8 × 102 to 2.2 × 102 cfu/ ml respectively. The level of significant was not significant between TVC, S. aureus and E. coli count at p > 0.05. 3.3% of all samples were contaminated by Salmonella spp. It was concluded that high counts of bacteria were found in raw milk. The standards for the raw milks should be established and the raw milk producers should be given the appropriate training in hygienic handling of milk.
Matching semantic sketches to predicates in context using the BERT model

Modern language models have extensive information about the compatibility and meanings of various words. One of the ways to represent such lexical information, which is presented in the present study, is the construction of semantic sketches. This paper presents a solution to the task of predicting a predicate from its most frequent actants and sirconstants using the application of the BERT neural network, which showed the best quality metrics in the Dialogue Evaluation SemSketches competition. The study analyzed several solutions approaching this task and ways to improve them based on the peculiarities of the architecture and the nature of data in terms of linguistics. The results of testing the selected methods showed that the most successful tool for determining the semantic sketch of a predicate is the Conversational RuBERT model combined with the search for synonyms of the verbs sought in the training data. Other promising ways to improve the quality of mapping the predicate to its semantic sketch include the use of contextualized embeddings to be able to take context into account, as well as ﬁne-tuning of the models used.
Mixing-Performance Evaluation of a Multiple Dilution

This paper is aimed to propose a numerically designed multiple dilution microfluidic chip that can simultaneously deliver several serum dilutions in parallel. The passive mixing scheme is selected for dilution and achieved by the serpentine mixing channel in which Dean vortices are induced to increase the contact area and time for better diffusion. The mixing performance at the exit of this dilution chip is numerically evaluated using five commonly-used mixing indices with the goal that the homogeneity of the mixture over the exit cross-sectional area of the mixing channel must be greater than 93.319% to fulfill the six-sigma quality control.
Building Dataset and Morpheme Segmentation Model for Russian Word Forms

The paper describes a way to generate a dataset of Russian word forms, which is needed to build an appropriate neural model for morpheme segmentation of word forms. The developed generation procedure produces word forms segmented into morphs that are classified by morpheme types, based on existing dataset of segmented lemmas and additional dictionary data, as well as fine-grained classification of Russian inflectional paradigms, which makes it possible to correctly process word forms with alternating consonants and fluent vowels in endings. The built representative dataset (more than 1,6 million word forms) was used to develop a neural model for morpheme segmentation of word forms with classification of segmented morphs. The experiments have shown that in detecting morphs boundaries the model has comparable quality with the best segmentation models for lemmas (98% of F-measure), slightly outperforming them in word-level classification accuracy (with score 91%).
Soil organic carbon dynamics from agricultural management

Sequestration of soil organic carbon (SOC) on cropland has been proposed as a climate change 7 mitigation strategy to reduce global greenhouse gas (GHG) concentrations in the atmosphere, which is in 8 particular needed to achieve the targets proposed in the Paris Agreement to limit the increase in atmospheric 9 temperature to well below 2 °C. We here analyze the historical evolution and future development of cropland 10 SOC using the global process-based biophysical model LPJmL, which was recently extended by a detailed 11 representation of tillage practices and residues management (version 5.0–tillage2). We find that model results for 12 historical global estimates for SOC stocks are at the upper end of available literature, with ~2650 Pg C of SOC 13 stored globally in the year 2018, of which ~170 Pg C are stored in cropland soils. In future projections, assuming 14 no further changes in current cropland patterns and under four different management assumptions with two 15 different climate forcings, RCP2.6, and RCP8.5, results suggest that agricultural SOC stocks decline in all 16 scenarios, as the decomposition of SOC outweighs the increase of carbon inputs into the soil from altered 17 management practices. Different climate-change scenarios, as well as assumptions on tillage management, play a 18 minor role in explaining differences in SOC stocks. The choice of tillage practice explains between 0.2% and 19 1.3% of total cropland SOC stock change in the year 2100. Future dynamics in cropland SOC are most strongly 20 controlled by residue management, whether residues are left on the field or harvested. We find that on current 21 cropland, global cropland SOC stocks decline until the end of the century by only 1.0% to 1.4% if residue22 retention management systems are generally applied and by 26.7% to 27.3% in case of residues harvest. For 23 different climatic regions, increases in cropland SOC can only be found for tropical dry, warm temperate moist, 24 and warm temperate dry regions in management systems that retain residues. 25
MicroRNA-122 As A Potential Biomarker for Liver Injury Resulted from Chronic Hepatitis C Infection

Background: Hepatitis C virus infection is one of the main causes of chronic liver disease worldwide. Circulating miR-122 is considered a very promising biomarker due to good stability, high tissue specificity as a biomarker for necroinflammatory activity in patients with chronic hepatitis C. Aim of the study: To assess Microrna-122 As A Potential Biomarker for Liver Injury Resulted from Chronic Hepatitis C Infection. Patients and Methods: The study was conducted on 30 subjects (15 patients with CHC infection as confirmed by PCR analysis and 15 volunteers served as healthy control). We performed the following tests: serum ALT and AST, serum albumin and, total bilirubin, PT, PTT and INR, and serum viral load of HBV, HCV, and HIV by quantitative PCR. Results: Serum levels of bilirubin, PT, AST, and ALT were significantly higher in CHC group compared to the control group (p <0.05). The performed miRNA-122 analysis revealed a nonsignificant difference in serum miRNA-122 relative expression between CHC patients and healthy control (mean ΔΔCT (±SD) = -2.85 (±4.34) and-2.25 (±2.93), respectively, P =0.79). The level of miRNA-122 was higher in the serum of CHC patients. In the CHC groups, ALT activity was above the reference range of ALT with higher miRNA-122 expression. The results showed a nonsignificant positive correlation between the miRNA-122-fold change and the ALT activity (r=0.01, p=0.98). The best cutoff of miRNA-122 in the diagnosis of CHC is >5.34 with an area under curve (AUC) of 0.64 (95% CI [0.46 to 0.81]), sensitivity=60%, and specificity=50%. Conclusion: Serum miRNA-122 expression level is increased in adult CHC patients compared to healthy controls. Further studies have to be conducted on larger scale to confirm the relation between miRNA-122 and ALT levels.
Cheetah: A High-Speed Programmable Load-Balancer Framework With Guaranteed Per-Connection-Consistency

Large service providers use load balancers to dispatch millions of incoming connections per second towards thousands of servers. There are two basic yet critical requirements for a load balancer: uniform load distribution of the incoming connections across the servers, which requires to support advanced load balancing mechanisms, and per-connection-consistency (PCC), i.e, the ability to map packets belonging to the same connection to the same server even in the presence of changes in the number of active servers and load balancers. Yet, simultaneously meeting these requirements has been an elusive goal. Today’s load balancers minimize PCC violations at the price of non-uniform load distribution. This paper presents Cheetah, a load balancer that supports advanced load balancing mechanisms and PCC while being scalable, memory efficient, fast at processing packets, and offers comparable resilience to clogging attacks as with today’s load balancers. The Cheetah LB design guarantees PCC for any realizable server selection load balancing mechanism and can be deployed in both stateless and stateful manners, depending on operational needs. We implemented Cheetah on both a software and a Tofino-based hardware switch. Our evaluation shows that a stateless version of Cheetah guarantees PCC, has negligible packet processing overheads, and can support load balancing mechanisms that reduce the flow completion time by a factor of $2-3 \times $ .
Isolation and Biochemical Characterization of Rhizobium Strains from Fababean (Vicia faba L) Nodule from Arsi Zone of Ethiopia

Nitrogen (N) deficiency is one of the most common factors for reduction in yield of legume crops particularly in Ethiopia. The utilization of biological nitrogen fixation (BNF) by legume-Rhizobium symbiosis is most prominent symbiosis found in nature; so for increasing legume production and soil fertility we should use organic fertilizer such as bio fertilizer. The aim of this study was to isolate, identify and characterize the fababean nodulating Rhizobium isolates. Fababean (Vicia faba L.) rhizobia were isolated from nodules collected from four fababean growing area of Arsi zone of Ethiopia. A total of twenty rhizobia isolates were collected and characterized based upon their morphological and biochemical characteristics. Out of total, twelve isolates were selected as representative rhizobia samples. The result of this study showed that all isolates were fast-growing and failed to absorb Congo red. Cell size ranged from 2.1 to 5.2 mm. The smallest and largest colony diameter (2.1 and 5.2 mm) was recorded in isolates BKFB3 and MRFB10 respectively on YEMA medium. Isolates were capable of utilizing 50-100% of the tested carbohydrates. 75% of all isolates metabolized all the nitrogen sources and all isolates were utilized glutamine. All isolates were sensitive to neomycin and ampicillin at 20μg/ml concentration.
PROPAGATION OF GERBERA PLANTS THROUGH TISSUE CULTURE

Soaking seeds of Gerbera jamesonii cv. Festival (hybrid F1) in water for 24 h before inoculation on MS medium lessened, to a significant extent the number of days needed for germination to take place. Using a syringe as a tool for sterilization procedure resulted in a significant higher survival percentage compared to that obtained by putting seeds in a gauze or cloth mesh. The highest significant survival percentage was obtained by treating seeds with clorox at 1% active ingredient (a.i.). 8hydroxyquinoline sulphate (HQS) at 1% gave the lowest values. The effect of sterilization treatment on contamination was statistically insignificant. The highest significant percentage of dead seeds occurred after applying HQS at 1%.
A SYSTEM DYNAMICS APPROACH FOR STRATEGIC PLANNING OF CONSUMER ELECTRONICS INDUSTRY IN DEVELOPING COUNTRIES: THE CASE OF THE TELEVISION MANUFACTURING INDUSTRY IN EGYPT

In this paper, a system dynamics approach is introduced for the macro- planning of the selection of new product families in the consumer electronics industry in developing countries. A decision methodology structure is built that includes the impact factors of rapid technology changes and uncertainty. System dynamics models are designed to select the product family’s planning strategy, considering the different variables in marketing, product design, supply chain, and manufacturing method. The developed model is validated for a real case study of television manufacturing in Egypt. The results reveal that using system dynamics reflects the dynamics of the consumer electronics industry and can be used for its strategic planning.
Genes Conferring Resistance Studies in Molecular Medicine Multivariate Regression Analysis Test Statistic for Model Selection

Angular leaf spot (ALS), Anthracnose (ANT)and Common Bacterial Blight (CBB) are important diseases of common bean in Ethiopia that can cause severe yield reduction. This study was conducted to pyramid resistant genes for ALS and ANT diseases into advanced line and to evaluate isolines against ALS, ANT and CBB using marker assisted selection in combination with phenotypic selection. The parent AND277 donor of Phg-1 and Co-1genes for ALS and ANT respectively and the recipient was KT-ABC001 line with the ALS and CBB resistant genes Phg-2 and CBB QTL respectively. In genotypic selection, SSR and SCAR marker linked to Phg-1, Phg-2, Co-1and CBB QTL genes were used. Marker assisted backcrossing procedure was adopted; inheritances for resistant genes were characterized by using F2 and backcrosses.
EQUIPMENT: A KENYAN CONTEXT

The twenty-first century has seen a vast technological revolution characterized by the development of cyber-physical systems, integration of things, and new and computationally improved machines and systems. However, there have been seemingly little strides in the development of user interfaces, specifically for industrial machines and equipment. The aim of this study was to assess the efficiency of the human-machine interfaces in the Kenyan context in providing a consistent and reliable working environment for industrial machine operators. The researcher employed a convenient purposive sampling to select 15 participants who had at least two years of hands-on experience in machines operation, control, or instrumentation. The results of the study are herein presented, including the recommendations to enhance workforce productivity and efficiency.
A HIF-1 network reveals characteristics of epithelial-mesenchymal transition_11311-926556_Pattini

Background: Acute promyelocytic leukemia (APL) is a sub-type of acute myeloid leukemia (AML) characterized by a block of myeloid differentiation at the promyelocytic stage and the predominant t(15:17) chromosomal translocation. We have previously determined that cells from APL patients show increased expression of genes regulated by hypoxia-inducible transcription factors (HIFs) compared to normal promyelocytes. HIFs regulate crucial aspects of solid tumor progression and are currently being implicated in leukemogenesis. Methods: To investigate the contribution of hypoxia-related signaling in APL compared to other AML sub-types, we reverse engineered a transcriptional network from gene expression profiles of AML patients’ samples, starting from a list of direct target genes of HIF-1. A HIF-1-dependent subnetwork of genes specifically dysregulated in APL was derived from the comparison between APL and other AMLs. Results: Interestingly, this subnetwork shows a unique involvement of genes related to extracellular matrix interaction and cell migration, with decreased expression of genes involved in cell adhesion and increased expression of genes implicated in motility and invasion, thus unveiling the presence of characteristics of epithelial-mesenchymal transition (EMT). We observed that the genes of this subnetwork, whose dysregulation shows a peculiar pattern across different AML sub-types, distinguish malignant from normal promyelocytes, thus ruling out dependence on a myeloid developmental stage. Also, expression of these genes is reversed upon treatment of APL-derived NB4 cells with all-trans retinoic acid and cell differentiation. Conclusions: Our data suggest that pathways related to EMT-like processes can be implicated also in hematological malignancies besides solid tumors, and can identify specific AML sub-types.