Miracle-dz/UniFAR-FTUs huggingface dataset:
On Quantized Analog Compressive Sensing Methods for Efficient Resonator Frequency Estimation

In many applications such as gravimetric sensing, there is a need to rapidly estimate the center resonant frequency of the sensor system. This paper proposes and compares different quantized analog compressive sensing approaches for rapid frequency estimation. In particular, we discuss (a) Atomic norm Soft Thresholding - Semidefinite Programming (AST-SDP), (b) Atomic norm Soft Thresholding - Alternating Direction Method of Multipliers (AST-ADMM) and (c) Superfast Line Spectral Estimation (LSE) algorithms. As a result of this comparison we report that Superfast LSE achieves a good trade-off between computational speed, quantization, and error in frequency estimation among the three approaches. We further compare the compressive sensing approaches to several classical methods such as the Prony’s algorithm and the Pisarenko’s algorithm and show that compressive sensing based approaches remain robust to higher quantization errors. Finally, experimental results are shown for a quartz crystal and a MEMS based gravimetric sensor. Frequency measurement results with the quartz crystal show that a resolution of 0.1 ppm RMSE is achieved with the compressed sensing approach.
Effect of extraction Alkaloids from Zephyranthes candida induces cell death through destruction microtubules in (China hamster cell line)

خلفية الدراسة: تتكون خلايا الهيكل الخلوي في الخلايا حقيقية النواة من ثلاثة عناصر هيكلية رئيسية واانبيبات الدقيقة، وخيط، وخيط متوسط . التوبولين هو البروتين الأساسي لل MTs ، تكون جزيئات التوبولين مرتبة في المخفتات و تتكون من نوعين ، تويولين أ- وتويولين ب . فهي هياكل متغيرة باستمرار. تاكسانس وقلويات فينكا هي مثبطات MTC التي تزعزع استقرار النبيبات الدقيقة عن طريق تثبيط ديناميكيتها التي تتطلب وظيفة الانقسام السليمة وفعالية منع تنظيم الخلية مما يؤدي إلى موت الخلية . اهداف الدراسة: هدفت هذه الدراسة الى تقييم قدرة القلويدات المأخوذة من أوراق zephyranthes candidato شبكة MTC) ) من (CHO)، وهي عبارة عن خط خلية ثانوي للورم خبيث. المرضى والطرائق: استخدمنا في تجاربنا فأرة ,CHOوقد تم الحصول عليها من قسم الطب، جامعةالصين. تمتلك الخلية في Dulbecco Essential Medium (DMEM) Laboratories GmbH، 100) Austria) ، مع 10٪ من مصل بقري جنيني ، 2 ملغم الجلوتامين ، ل %95 (مختبرات PAA ، النمسا) في جو مرطب يزرع فوق ثاني أكسيد الكربون في 37م Zephyranthes candida القلويد الخام حيث يتم معالجة الخلايا بالمستخلص 3٪ فوق غطاء الشريحة المجهرية ، وغسل ثلاثة مرات لمدة 4 دقائق مع PBS (pH 6.9) وتم تقييم قدرة مستخلص القلويات على تثبيط نمو خلايا الورم CHO في الجسم الحي , تم حقن أربعين فأر تحت الحقبة الظهرية اليمنى بهذه الخلايا الورمية ، بعد تطور الورم إلى 8-1 مم 2 ، والقضاء على الحيوانات التي لم تطور الأورام ، تم تقسيم الحيوانات إلى ثلاث مجموعات كل واحدة مع عشرة أفراد. النتائج: كان المستخرج قادرة على تحويل MTC من الخلايا بعد ساعة واحدة ولا يوجد خطأ في التركيز و باقل قدر ممكن يصل 20 مل في حين تستخدم DAPI في التلطيخ، كان موت الخلايا يتحقق في تركيز واوقات معينة . وقد تم رصد موت الخلية عندما يصل تركيز مولد قلويدات إلى 80 و 100 Hg / ml في الوقت المذكور أعلاه. كانت الخلايا قادرة على تطوير انكماش MTC بعد 12 ساعة من حذف القلويد. التركيز المقتطف من 1mg / Kg Bw بشكل فعال في منع تطور سرطان خلايا خط CHO في الجسم الحي إلى 97.14 ٪ بعد علاج لمدة 3 أسابيع على النقيض من السيطرة الطبيعية. الاستنتاجات : تقديم التغييرات في خلايا H22 للأنواع الغازية في إعداد MTC الخاصة بهم و انخفاض تركيز اZephyranthes الذي يصل إلى 20 ميكروغرام / مل بعد 1 ساعة من زمن التعرض .
Mixing and Eddie Currents in a Modified Bubble Column Reactor

A modified bubble column reactor is introduced and compared with existing photobioreactors. The modified bubble column reactor uses a porous membrane as the interface between the air and the liquid. The characteristics of the porous membrane are investigated. Gas transfer characteristics of carbon dioxide and oxygen where investigated for the modified bubble column reactor. Bubble size and gas holdup relationships are provided for the modified bubble column reactor. General mixing characteristics of the modified bubble column is qualitatively investigated. Factors that would affect the algae in a bubble column and eddy current length in relation to algae damage are discussed.
Robust Stability of Barrier-Based Model Predictive Control

Conditions for robust input–output stability of barrier-based model predictive control of linear systems with linear and convex nonlinear (hard or soft) constraints are established through the construction of integral quadratic constraints (IQCs). The IQCs can be used to determine sufficient conditions for global closed-loop stability. In particular, conditions for robust stability can be obtained in the presence of unstructured model uncertainty. IQCs with both static and dynamic multipliers are developed and appropriate convex searches for the multipliers are presented. The effectiveness of the robust stability analysis is demonstrated through an illustrative numerical example.
A Hierarchical Model-Based Optimization Control Approach for Cooperative Merging by Connected Automated Vehicles

Gap selection and dynamic speed profiles of interacting vehicles at on-ramps affect the safety and efficiency of highway merging sections. This paper puts forward a hierarchical control approach for Connected Automated Vehicles (CAVs) to achieve efficient and safe merging operations. A tactical layer controller employs a second-order car-following model with a cooperative merging mode to represent a cooperative merging process and generates an optimal vehicle merging sequence and time instants when on-ramp CAVs start to adapt their speeds and positions to prepare merging into the target gaps respectively. An operational layer controller is designed based on Model Predictive Control (MPC). It uses a third-order vehicle dynamics model and optimizes desired accelerations for CAVs and the time instants when the on-ramp CAVs initiate the lane-changing executions respectively. Both the tactical layer controller and operational layer controller derive their control commands by minimizing an objective function for different time horizons. The objective function penalizes deviations of CAVs’ inter-vehicle gaps to their desired values, relative speeds to their direct predecessors, and actual or desired accelerations, subject to constraints on velocities, actual or desired accelerations, and inter-vehicle gaps. The performance of the proposed hierarchical control framework and a benchmark on-ramp merging method using a first-in-first-out rule to determine the merging sequence is demonstrated under 135 scenarios with different initial conditions, desired time gap settings, and numbers of on-ramp vehicles. The experimental results show the superiority of the hierarchical control approach.
Effects of the Road Network on Regional Economic Development in Burkina Faso

This article assesses the effects of the road network allocation on regional economic development in Burkina Faso. Having completed three (03) estimates from the generalized method of moments (GMM) in system on a panel of 13 regions on the period from 2006 to 2013, the results show that the road network is a determinant factor of regional commodity production in Burkina Faso and this, through its positive effects on productivity on productive capital and labour. In addition, it revealed that asphalt roads admit more positive effects on commodity production, on productive capital and labour productivity than untarred roads. Regarding the last, they contribute positively and weakly to regional commodity production and in labour productivity. However, this category does not have positive effects on labour productivity. Thus, a policy of strengthening their length and quality is necessary in order to benefit from all the benefits of regional roads. Keywords: Regional economic development, road network, effects, Burkina Faso. DOI: 10.7176/JESD/11-12-02 Publication date: June 30th 2020
Molecular and morphological evidence for a new species of liverwort, Lejeunea heinrichsii (Marchantiophyta: Lejeuneaceae) from Taveuni, Fiji

A new species from Fiji, Lejeunea heinrichsii is described and illustrated herein based on morphological characters and molecular phylogenetic analyses. The taxonomic descriptions of L. heinrichsii and the comparison with their allies are presented, together with the Maximum Likelihood (ML) and Bayesian phylogenetic analyses based on sequences of two chloroplast regions (trnL‐trnF, rbcL) and the nuclear ribosomal ITS region. This delicate and rather minute species is characterized by its autoicy, eplicate perianths, the oblong‐rectangular leaf lobes, the distantly arranged underleaves with lobes to 1/2‐2/3 underleaf length, and the leaf cells without well‐developed trigones and intermediate thickenings. In the molecular phylogeny, L. heinrichsii is placed sister to the Asian L. compressiuscula from Indonesia and forms an independent lineage including accessions of Neotropical L. adpressa from the Dominican Republic and the widespread Palaeotropical L. anisophylla from São Tomé and Príncipe. Morphologically, L. heinrichsii is very similar to L. capensis, however the result based on the molecular phylogenetic analyses revealed that the two species are very distinct.
RNA-Seq Reveals Transcriptomic Program Associated with Stemness in Taxane Resistant Prostate Cancer

37 Introduction . 38 Results . 40 PC3-DR and DU145-DR Cells Upregulate Markers of Taxane Resistance . 40 RNA-seq Analysis Revealed Upregulation of Genes Associated with CSC-like Characteristics . 43 Validation of Transcript and Protein Expression of Selected Genes in DTX-resistant Cells Confirmed RNA-seq Results . 50 Analysis of Cancer Gene Microarray Datasets Reveals Constant Upregulation of DNAJC12, FABP5, and BOP1 in PCa Tissues . 55 PC3-DR and DU145-DR Cells Upregulate Markers Associated with EMT and CSC . 57 Increased Tumorsphere Formation Capacity and DTX-resistance in DU145-DR Cells . 65 Discussion . 70 Materials and Methods . 77 Cell lines, Antibodies and Cell Culture . 77 RNA Isolation and RNA-seq Library Preparation and Sequencing . 78 RNA-seq Data Analysis . 81 Quantitative Reverse Transcription PCR (RT-qPCR) . 82 Immunoblotting Procedures . 84 Bioinformatics Analysis of Oncomine Cancer Gene Microarray Database . 85 Tumorsphere Forming Assay . 85 Flow Cytometric Analysis of Stem Cell Markers, ALDH Activity, and Cell Death . 86 Detection of Cell Viability by Propidium Iodide Staining . 92 Statistical Analysis . 94
Facile Zinc Oxide Nanoparticle Green Synthesis Using Citrus reticulata Extract for Use in Optoelectronic Sensors

Waveguides are structures that can be used as sensors. After adding a cladding of a proper material, waveguides can be used for detecting specific chemical species. In particular, high band gap oxide semiconductors can be used as cladding for optical waveguides. In these materials, the synthesis processes are expensive or contaminant generators, for this reason novel approaches are required. This work addresses a simple synthesis method for the preparation of zinc oxide nanoparticles using Citrus reticulata extract. XRD presented only the wurtzite structure for the zinc oxide nanoparticles, while TEM showed size and shape homogeneity. The ZnO band gap was lower than commercial ZnO. Using a computer simulation and frequency dependent electrical characteristics, a waveguide model was tested. The resulting characteristics presented great parameters for using in optoelectronic sensors. Resulting ZnO NPs have negligible amounts of green matter afterwards, making this a non-toxic method. As a result, herein presented synthesis is a promising method for developing new optoelectronic sensors. These devices can be used for automatic detection of chemical species by automated systems.
Role of Next-Generation RNA-Seq Data in Discovery and Characterization of Long Non-Coding RNA in Plants

The next-generation sequencing (NGS) technologies embrace advance sequencing tech- nologies that can generate high-throughput RNA-seq data to delve into all the possible aspects of the transcriptome. It involves short-read sequencing approaches like 454, illu- mina, SOLiD and Ion Torrent, and more advance single-molecule long-read sequencing approaches including PacBio and nano-pore sequencing. Together with the help of computational approaches, these technologies are revealing the necessity of complex non-coding part of the genome, once dubbed as “junk DNA. ” The ease in availability of high-throughput RNA-seq data has allowed the genome-wide identification of long noncoding RNA (lncRNA). The high-confidence lncRNAs can be filtered from the set of whole RNA-seq data using the computational pipeline. These can be categorized into intergenic, intronic, sense, antisense, and bidirectional lncRNAs with respect to their genomic localization. The transcription of lncRNAs in plants is carried out by plant-specific RNA poly - merase IV and V in addition to RNA polymerase II and target the epigenetic regulation through RNA-directed DNA methylation (RdDM). lncRNAs regulate the gene expression through a variety of mechanism including target mimicry, histone modification, chromo - some looping, etc. The differential expression pattern of lncRNA during developmental processes and different stress responses indicated their diverse role in plants.
Detection by Rt-Pcr and Molecular Characterization of Tremovirus A Obtained from Clinical Cases of Avian Encephalomyelitis (AE) Outbreaks in Brazil

This study determined the presence of Tremovirus A as the possible agent related to Avian Encephalomyelitis in broiler chicks from the states of São Paulo (SP) Paraná (PR), Goiás (GO), Santa Catarina (SC) and Rio Grande do Sul (RS), between the years 2006 and 2015. Samples of the nervous, digestive, respiratory, immune, and renal systems, plus muscular organs from broiler chicks with neurological problems such as ataxia and muscle tremors, and four (4) commercial vaccines as positive control, were tested by reverse-transcriptase (RT-PCR) amplification and DNA sequencing. A highly conserved region (P1) of the viral genome, was used to amplify a segment which encodes a structural protein VP4. Out of 112 samples, 46 were positive (42%) for Tremovirus A, that was identified in the nervous, digestive, respiratory, renal and immune systems. The phylogenetic analysis clustered together the nucleotide sequences of the 46 samples, the four commercial vaccine strains and the reference sequence of Calnek strain obtained from the GenBank. According to these results, we conclude that the presence of Tremovirus A in these Brazilian chicken flocks distributed in all states was due to flaws in the biosecurity measurements.
Management of Innovation of the Economic Potential of the Rural Enterprises

The analysis and management of innovation of the economic potential of the rural enterprises are currently the limiting factors of the stability and development of the enterprises; on the other hand, it is a condition for maintaining rural viability. Innovation is a catalyst for the growth of the enterprises, both within their internal environment and in the rural areas and the settlements established in such areas. Only the interconnection of the two levels of innovation (corporate and territorial) ensures stability and profitability for the enterprise. The paper focuses on the latter-mentioned part of innovation, both in terms of the methodology and research. The method for determining the innovative economic potential of rural settlements is presented in the paper, defined as the existential and development base for different enterprises. In relation, the paper discusses the issue of quantification of the economic potential of the clusters. The data acquisition is based on secondary data of the LAGs of the South Bohemian Region and the data from Ekotoxa. All municipalities of Trebonsko LAG (Czech Republic) are included in the data collection. The method for clustering the municipalities by their specifics, is supposed to be the most important result of the research, together with defining the areas suitable for innovation processes. Four models Economic Cluster, Social Cluster, Cluster of Infrastructure, and Cluster of Environment are defined based on four groups of the variables (economic, social, infrastructure, and environmental). A municipality is classified into an appropriate group based on the group (pillar) in which the municipality scored the highest average order. The average order of the municipality in each pillar is calculated as well. The method is followed by a verified procedure for defining the business potential of the clusters. The stepwise backward regression method is used to define the index of progressivity of the economic structure, determining the socio-economic differentiation of the regions in the Czech Republic. Regarding both the methodological procedure and the analytical tool, it is possible to state their suitable choice; the research results are relevant, valid, and usable in practice. The activities with high economic and innovation potential in the tested area include transport services, availability of the services, municipal infrastructure, drinking water supply, the occurrence of water bodies, and the structure of the population. P., Partlova, J., Strakova, J., Vachal, F. , Pollak, J., Dobrovic. Management of Innovation of the Economic Potential of the Rural Enterprises Marketing and Management of Innovations, 2020, Issue 2 341 http://mmi.fem. sumdu.edu. ua/en
Complexes polymétalliques de lanthanides (III ) pour le développement de nouveaux matériaux luminescents

L'incorporation d'elements f au sein d'architectures polymetalliques et organisees est d'un interet fondamental en chimie supramoleculaire et permet la mise au point de composes combinant une taille nanometrique avec les proprietes optiques ou magnetiques des ions metalliques Ln(III). Cependant, a cause des difficultes liees au controle de l'environnement de coordination de ces ions, les assemblages de complexes polynucleaires a base de lanthanides ont ete beaucoup moins etudies que les autres systemes et la construction de tels assemblages reste encore un veritable defi. Afin de mieux comprendre les facteurs regissant l'assemblage des complexes polymetalliques, nous avons concu deux types differents de ligands organiques, favorisant, dans un cas, la formation de complexes infinis (ou polymeres de coordination), et dans l'autre, l'assemblage d'architecture polymetalliques discretes. Ainsi, nous montrons que l'utilisation de ligands derives de l'unite picolinate, flexibles et multidentes permet la formation de polymeres de coordination presentant des proprietes de luminescence tres interessantes. La geometrie du ligand a une grande influence sur l'architecture fmale du reseau. En particulier, l'incorporation de quatre unites picolinates au sein d'un ligand tetrapode resulte en la formation controlee de reseaux a une dimension. Inversement, pour favoriser l'assemblage controle de complexes polymetalliques discrets des ligands dissymetriques et de faible denticite ont ete utilises. Les etudes de complexation d'un ligand tridente derive de l'unite 8 hydroxyquinoleine et d'un ligand tetradente possedant un cycle oxazoline sont presentees.
Lecanora caperatica (Lecanoraceae, lichenized ascomycetes) a new sorediate species widespread in eastern North America

Abstract Lecanora caperatica is described based on collections from throughout temperate eastern North America. It is a crustose sorediate species in the L. subfusca group which has pulcaris-type apothecia, and produces atranorin and caperatic acid often with accessory roccellic/angardianic acid. The species is chemically similar to the European L. mughosphagneti, which differs in ecology, thallus morphology and in having albella-type apothecia. The generic placement of L. caperatica, and its affinity to the L. subfusca group, are confirmed by molecular phylogenetic analysis.
A mixed-model approach for powerful testing of genetic associations with cancer risk incorporating tumor characteristics

Cancers are routinely classified into subtypes according to various features, including histo-pathological characteristics and molecular markers. Previous genome-wide association studies have reported heterogeneous association between loci and cancer subtypes. However, it is not evident what is the optimal modeling strategy for handling correlated tumor features, missing data, and increased degrees-of-freedom in the underlying tests of associations. We propose score tests for genetic associations using a mixed-effect two-stage polytomous model (MTOP). In the first stage, a standard polytomous model is used to specify for all subtypes defined by the cross-classification of different markers. In the second stage, the subtype-specific case-control odds ratios are specified using a more parsimonious model based on the case-control odds ratio for a baseline subtype, and the case-case parameters associated with tumor markers. Further, to reduce the degrees-of-freedom, we specify case-case parameters for additional exploratory markers using a random-effect model. We use the Expectation-Maximization (EM) algorithm to account for missing data on tumor markers. Through simulations across a range of realistic scenarios and data from the Polish Breast Cancer Study (PBCS), we show MTOP outperforms alternative methods for identifying heterogeneous associations between risk loci and tumor subtypes.
Bias in meta‐analyses using Hedges’
 d

The type of metric and weighting method used in meta‐analysis can create bias and alter coverage of confidence intervals when the estimated effect size and its weight are correlated. Here, we investigate bias associated with the common metric, Hedges’ d, under conditions common in ecological meta‐analyses. We simulated data from experiments, computed effect sizes and their variances, and performed meta‐analyses applying three weighting schemes (inverse variance, sample size, and unweighted) for varying levels of effect size, within‐study replication, number of studies in the meta‐analysis, and among‐study variance. Unweighted analyses, and those using weights based on sample size, were close to unbiased and yielded coverages close to the nominal level of 0.95. In contrast, the inverse‐variance weighting scheme led to bias and low coverage, especially for meta‐analyses based on studies with low replication. This bias arose because of a correlation between the estimated effect and its weight when using the inverse‐variance method. In many cases, the sample size weighting scheme was most efficient, and, when not, the differences in efficiency among the three methods were relatively minor. Thus, if using Hedges’ d, we recommend using weights based upon sample size that do not involve individual study estimates of the effect size.