Miracle-dz/UniFAR-FTUs huggingface dataset:
Four-Element Wide Modulated Bandwidth MIMO Receiver With >35-dB Interference Cancellation

Active control of interference is necessary with increased cell density, more complicated environmental reflections, and coexistence of multiple networks for next-generation wireless communications. The existing radio receiver architectures for spatial interference cancellation (SpICa) are limited by the spatial nulls created by a phased-antenna array (PAA) and cannot cover wide modulated bandwidths (BWs). We propose a discrete-time-delay-compensating technique for canceling spatial interferences with wide modulated BWs to reduce the dynamic range requirement for the data converter. Integral to the proposed circuit is a switched-capacitor-based multiply-and-accumulate processor that incorporates a reconfigurable phase interpolator and time interleaver for precise digitally tunable delays and multiplication of the input signal to an orthogonal matrix. The digital time interleaver enables 5-ps resolution with a reconfigurable range up to 15 ns. The measured results demonstrate greater than 35-dB SpICa over 80-MHz modulated BWs in the 65-nm CMOS with 52 mW of power consumption.
An instrument for measuring the source credibility of basic speech communication instructors

On the assumption that a teacher's credibility with his students is related to student learning, a measure of teacher credibility was developed and tested. Data obtained from 1,80 students in basic speech communication courses from two universities indicated five dimensions of teacher credibility: “Character,” “Sociability,” “Composure,” “Extroversion,” and “Competence. ” These dimensions were found useful for predicting some aspects of student learning. A 14‐item instrument for the measurement of teacher credibility is recommended.
On the Memory Requirement of Hop-by-Hop Routing: Tight Bounds and Optimal Address Spaces

Routing in large-scale computer networks today is built on hop-by-hop routing: packet headers specify the destination address and routers use internal forwarding tables to map addresses to next-hop ports. In this paper we take a new look at the scalability of this paradigm. We define a new model that reduces forwarding tables to sequential strings, which then lend themselves readily to an information-theoretical analysis. Contrary to previous work, our analysis is not of worst-case nature, but gives verifiable and realizable memory requirement characterizations even when subjected to concrete topologies and routing policies. We formulate the optimal address space design problem as the task to set node addresses in order to minimize certain network-wide entropy-related measures. We derive tight space bounds for many well-known graph families and we propose a simple heuristic to find optimal address spaces for general graphs. Our evaluations suggest that in structured graphs, including most practically important network topologies, significant memory savings can be attained by forwarding table compression over our optimized address spaces. According to our knowledge, our work is the first to bridge the gap between computer network scalability and information-theory.
Soil Moisture, Grass Production and Mesquite Resprout Architecture Following Mesquite Above-Ground Mortality

Honey mesquite (Prosopis glandulosa) is an invasive native woody plant in the southern Great Plains, USA. Treatments used to slow the invasion rate have either killed the plant (“root-kill”) or killed above-ground tissue (“top-kill”). Top-killing provides temporary suppression, but stimulates multi-stemmed regrowth. This study from north central Texas quantified soil moisture, grass production and mesquite resprout architecture following a mechanical clearing treatment that top-killed mesquite (cleared) compared to untreated mesquite woodland (woodland) over a 10-year period. During an extreme drought at 5 and 6 years post-clearing, soil moisture at 60-cm depth became lower in cleared than in woodland, suggesting that, as early as 5 years after top-kill, water use by regrowth mesquite could be greater than that by woodland mesquite. Perennial grass production was greater in cleared treatments than in woodland treatments in all years except the extreme drought years. Mesquite regrowth biomass increased numerically each year and was independent of annual precipitation with one exception. During the year 5 and 6 drought, mesquite stopped lateral expansion of larger stems and increased growth of smaller stems and twigs. In summary, top-killing mesquite generated short-term benefits of increased grass production, but regrowth created potentially negative consequences related to soil moisture.
PRODUCTIVITY AND COMPETITIVENESS OF RWANDAN AGRICULTURE: A CASE STUDY OF THE MAIZE SECTOR

This study investigated the level of productivity and competitiveness of Rwandanagriculture by focusing on the case study of the maize sector. The data werecollected through close monitoring of maize production activities on a sample of 50producers from five maize producers’ cooperatives selected in the districts ofHuye, Rusizi, Gasabo, Burera and Bugesera (Rwanda) during two agriculturalseasons of 2013/2014 and 2014/2015. They were supplemented by directobservation, interviews with targeted resource persons and secondary data onmaize imports and exports retrieved from FAOSTAT website. The analysis wasconducted using the comparative analysis, the farm-level economic performanceindicators, the Net Export Index (NEI) and the Grubel-Lloyd (GL) measure. Theresults revealed that the yield was very low compared to theoretical expected yieldsfor about 80% of producers. The analysis showed that the rational use of improvedseeds, chemical and organic fertilizers improved the yield. The analysis of the NEIand the GL measures for maize flour and maize grain revealed that Rwanda was anet importer. For these staple foods, the results revealed that if Rwanda managed,through policy and institutional actions, to remove or alleviate the bottlenecks thatprevent farmers from producing enough for export, it could have had a competitiveadvantage on regional markets.
HOW NETWORK RELATIONS IMPACT INNOVATION PERFORMANCE OF HIGH-TECHSTARTUPS: EVIDENCE FROM CENTRAL CHINA

: Research on innovation performance has gradually moved from the industrial clusters level to network relations among enterprises inside clusters. This paper intends to explain the impacts of network strength, breadth and stability on the innovation performance of Startups. An empirical analysis of high-tech Startups from 6 provinces of central China displays that, network strength and breadth exert a significant positive impact on Startups‘ innovation performance, network stability a relatively weak one, and that environmental dynamism plays a negative role mediating between network breadth and the innovation performance.
Robust Energy-Efficient Maximization for Cognitive NOMA Networks Under Channel Uncertainties

Resource allocation (RA) is a key technique to guarantee the quality of service of users and maximize the system capacity in cognitive nonorthogonal multiple access (NOMA) networks. However, traditional RA approaches have been proposed under perfect channel state information (CSI) which is too ideal in practical systems due to the impact of link delays, quantization errors, etc. In this article, with imperfect CSI, a downlink robust RA algorithm is proposed for robust transmission to maximize the sum energy efficiency (EE) of secondary users (SUs) under channel uncertainties. Meanwhile, it protects the minimum data rates of SUs, satisfying the maximum transmission power constraints of base stations and the maximum interference temperature constraint of each primary user (PU). The formulated problem is nonconvex, thus challenging to solve. For delay-tolerant services, to deal with the intractability of the problem caused by outage probability constraints, the closed-form expressions of outage probabilities of SUs and PUs are derived under Gaussian CSI error models. For delay-sensitive services, the robust constraints with bounded uncertainty sets are transformed into convex ones. Based on successive convex approximation and the parameter transformation approach, the original problem is converted into a closed-form geometric programming problem solved by dual decomposition methods and subgradient methods. Additionally, users’ outage probabilities and the minimum required transmit power under the two modeling approaches are analyzed. Computational complexity and sensitivity analysis are provided. The simulation results show the proposed algorithm serves good robustness and EE.
Nanoparticles and stem cells for drug delivery to the brain

Afgifte van medicijnen in de hersenen kan mogelijk worden verbeterd door ze te verpakken in nanodeeltjes die zijn voorzien van speciale moleculen waarmee ze in verhoogde mate door de hersenen kunnen worden opgenomen. Een alternatief is het gebruik van neurale stamcellen die genetisch zijn gemanipuleerd om medicijnen aan te maken. Het werk dat beschreven wordt in dit proefschrift richt zich op de ontwikkeling van dergelijke nieuwe systemen voor medicijnafgifte in de hersenen. Ook zijn technieken ontwikkelt om hun opname zichtbaar te maken, o.a. in celkweken (in vitro) en in proefdieren (in vivo). Na een inleidend hoofdstuk, waarin een overzicht wordt gegeven van detectie technologieen en de bijbehorende labeling van de afgiftesystemen, laten we zien dat migratie van radio-actief gelabelde neurale stamcellen (NSCs) zichtbaar kan worden gemaakt door middel van PET en SPECT. MRI is een geschikte methode om NSCs, gelabeld met ijzeroxide nanodeeltjes, voor langere tijd te volgen. Naast dat NSCs de bloed-hersen barriere passeren, laten we zien dat nanodeeltjes die gemaakt worden van de celmembranen van NSCs hun affiniteit voor de hersenen behouden. Aangezien medicijnen kunnen worden ingesloten in deze NSC nanodeeltjes, zijn ze veelbelovend voor medicijnafgifte in de hersenen. Ook polymersomen, met op hun oppervlak een door ons ontdekt peptide dat bindt aan GM1 (een ganglioside dat op de cellen voorkomt die de bloed-hersen barriere vormen), worden efficient getransporteerd en accumuleren in het hersenweefsel. Dit werk vormt een solide basis voor de verdere optimalisering van ‘natuurlijke’ NSC nanodeeltjes en ‘synthetische’ GM1-getargete polymersomen voor medicijnafgifte in de hersenen.
Inhibitory Effect of Coxsackie Adenovirus Receptor on Invasion and Metastasis Phenotype of Ovarian Cancer Cell Line SKOV 3 *

Full-length coxsackie adenovirus receptor (CAR) eukaryotic expression plasmid was transfected into an ovarian cell line, SK()V3. and its effect on the change of malignant metastasis phenotype was explored. CAR mRNA and protein expression levels among 4 ovarian cancer cell lines (A2780, SK()V3. SW626, CAOV3) and the positive control 293 (a transformed human embryo kidney cell line) was detected by using semi quantitative RT-RCR and Western blot and compared. CAR-negative SKOV3 was transfected with the eukaryotic expression plasmid containing a full-length CAR cI)NA and mock vector respectively. The positive clones were screened by G418. The biological behavior changes of positive transfected ceils were gauged by colony formation in soft agar assay and cell adhesion assay. Among the cell lines, there were obviously different CAR expression levels. CAR could not be detected in SK()V3. In transfected cell group, CAR expression was enhanced obviously as compared with non-transfected or mock transfected groups. Cell adhesion in the transfected group was promoted. The number of colony formation was reduced significantly in transfected groups (25.32_+8.91/ as compared with that in non-transfected group (88.75 _+13.98) and mock-transfected group (82. 534-19.37). Among the 4 ovarian cancer cell lines, CAR expression level was variable. Exogenous CAR expression had a potential role in inhibiting the malignant metastasis phenntype of ovary cancer cells.
Design, Operation, and Loss Characterization of a 1-kW GaN-Based Three-Level Converter at Cryogenic Temperatures

This article investigates the potential for high power density, high-efficiency power conversion using GaN-based flying capacitor multilevel power converters at low temperature. Specific focus is given to the application of hybrid aircraft powered by liquefied natural gas. Building off of prior characterization of GaN switches over temperature, this article outlines the impact of near-cryogenic operation on the losses of a complete 1-kW inverter. Specific focus has been given to the characterization of the losses in ceramic capacitors and inductors at near-cryogenic operation. A 1-kW GaN-based three-level power converter was designed and successfully tested from room temperature down to <inline-formula><tex-math notation="LaTeX">$-$</tex-math></inline-formula>140 <inline-formula><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>C. Along with the first demonstration of a flying capacitor multilevel converter and associated components at such low temperature, a breakdown of losses over temperature is included to facilitate a better understanding of the opportunities and challenges introduced by this article.
SCREENING PROTOCOL FOR SIGNS OF AUTISTIC SPECTRUM DISORDER FOR BABIES

The objective of the present work is to present a proposal of a Screening Protocol for Signs of Autism Spectrum Disorder for babies. The motivation for the development of this work lies in the clinical practice of rehabilitation and care for babies at the Sarah Hospital of Rehabilitation of São Luís. The change in the profile of care to this population implied the need to systematize the skills of the team for specialized assessment of development. The method was outlined based on a review of specific literature in the field, in particular Gadia's studies, data from the Brazilian Society of Pediatrics, in accordance with international evaluation parameters. Observation was used as a methodological procedure. As a result, an evaluation systematics has been established that points out objective criteria for early insertion in a program of stimulation and / or referral to specialized services, enabling interventions that promote changes in patterns of behavior and development. The tool includes a qualitative assessment of social development and language milestones in infants under 18 months of age; application of Screening for early screening between 18 to 24 months of age; performing complementary screening tests; and standardized assessment of development through specific scale application.
Biopolymeric encapsulation of probiotics for improved release properties in the gastrointestinal digestion system

Encapsulation of probiotics in the biopolymeric system is an excellent technique to enhance the protective effect, prolong the shelf life and deliver the probiotics in the human gastrointestinal tract at a specific time. Probiotics are usually loaded in a biopolymeric system or the food itself as a natural carrier for food applications. Probiotics are well-known for a healthy intestinal tract and digestibility of nutrients. The fate and viability of these bacteria in the digestion system are explored through in vitro evaluations. Probiotics encapsulated with natural biopolymers such as alginate, chitosan, gelatine, whey protein are found to improve their release properties in either emulsion or hydrogel system. This review emphasized on the release properties of encapsulated probiotics loaded with biopolymers using different dispersion methods including emulsification, suspension, extrusion, and drying. Biodegradable polymers or the food itself could be a potential protective agent and promote the controlled-release properties of probiotics.
Thermodynamic stability of various phases of zinc tin oxides from ab initio calculations

Thermodynamic stabilities of various phases in ZnO–SnO2 systems were investigated based on the Gibbs energy obtained from density functional theory (DFT) calculations. The pressure–temperature (p–T) phase diagram was determined; the coexistence of ZnO and SnO2 was the most stable phase in the low temperature region at zero external pressure, while Zn2SnO4 with the inverse spinel structure and ZnSnO3 with the lithium niobate structure were stable at the high temperature and high pressure region. Various octahedral configurations of the inverse spinel structures of Zn2SnO4 were considered. The calculated results showed feasible agreement with experimental data on the phase stability and explained well the experimental observation of the mixed state of Zn2SnO4, ZnO and SnO2 at mid-range temperatures and pressures. Considering the atomic structures, bulk moduli and thermodynamic stabilities, the local density approximation calculations were found to describe experimental observations more accurately than the generalized gradient approximation calculations. The phase transitions in the ZnO–SnO2 system were found to be dominated by the changes in both the Zn–O bond length and the coordination number of Zn, rather than changes in the bond length of Sn–O and the coordination number of Sn.
Clustering Milky Way’s Globulars: a Bayesian Nonparametric Approach

This chapter presents a Bayesian nonparametric approach to clustering, which is particularly relevant when the number of components in the clustering is unknown. The approach is illustrated with the Milky Way’s globulars, that are clouds of stars orbiting in our galaxy. Clustering globulars is key for better understanding the Milky Way’s history. We define the Dirichlet process and illustrate some alternative definitions such as the Chinese restaurant process, the Pólya Urn, the Ewens sampling formula, the stick-breaking representation through some simple R code. The Dirichlet process mixture model is presented, as well as the R package BNPmix implementing Markov chain Monte Carlo sampling. Inference for the clustering is done with the variation of information loss function. 1 R requirements The code used during the presentation of the Stat4Astro summer school is available at the url: https://github.com/jarbel/Stat4Astro-Autrans. Additionally, the code used to generate the plots of this chapter is displayed in the text. This requires the following R packages: ggplot2, hexbin, viridis, gridExtra, ggpubr, rgl for graphical tools, reshape2 for operations on similarity matrices, mcclust and mcclust.ext for clustering estimation. needed_packages <c("ggplot2", "hexbin", "viridis", "gridExtra", "ggpubr", "rgl", "reshape2", "dplyr", "mcclust") new_packages <needed_packages[ ! (needed_packages %in% installed.packages()[, "Package"])] if (length(new_packages)) install.packages(new_packages) lapply(needed_packages, require, character.only = TRUE) download.file( url = "http://wrap.warwick.ac.uk/71934/1/mcclust.ext_1.0.tar.gz", destfile = "mcclust.ext_1.0.tar.gz") 󰂏e-mail: julyan.arbel@inria.fr install.packages("mcclust.ext_1.0.tar.gz", repos = NULL, type = "source") file.remove("mcclust.ext_1.0.tar.gz") library("mcclust.ext") 2 Introduction and motivation Globulars1 are sets of stars orbiting some galactic center. The globular data we are considering here was studied in the 2015 Edition of the Stat4Astro school by [10] who used phylogenetic classification. The data are available on GitHub and can be downloaded as follows: spectra <read.csv( "https://github.com/jarbel/Stat4Astro-Autrans/blob/ master/Talk_Arbel/bnp_code/data/GC4c_groups.dat", sep="") It lists a total of dim(spectra)[1]=54 globulars for which dim(spectra)[2]=7 variables are available2: GC stands for the globular identifier; logTe is the logarithm of the maximum effective temperature on the horizontal branch; FeH denotes the metallicity; MV is the absolute V magnitude, which relates to both the brightness and the mass of the globular; Age of the globular; Grp4c and Grp3c are the phylogenetic classifications of [10] obtained by using respectively the four variables logTe, FeH, MV, Age and the three variables logTe, FeH, MV.
Title Energy Efficient Mobile Cloud Computing Powered by WirelessEnergy Transfer

Achieving long battery lives or even self sustainability has been a long standing challenge for designing mobile devices. This paper presents a novel solution that seamlessly integrates two technologies, mobile cloud computing and microwave power transfer (MPT), to enable computation in passive lowcomplexity devices such as sensors and wearable computing devices. Specifically, considering a single-user system, a base station (BS) either transfers power to or offloads computation from a mobile to the cloud; the mobile uses harvested energy to compute given data either locally or by offloading. A framework for energy efficient computing is proposed that comprises a set of policies for controlling CPU cycles for the mode of local computing, time division between MPT and offloading for the other mode of offloading, and mode selection. Given the CPU-cycle statistics information and channel state information (CSI), the policies aim at maximizing the probability of successfully computing given data, called computing probability, under the energy harvesting and deadline constraints. The policy optimization is translated into the equivalent problems of minimizing the mobile energy consumption for local computing and maximizing the mobile energy savings for offloading which are solved using convex optimization theory. The structures of the resultant policies are characterized in closed form. Furthermore, given non-causal CSI, the said analytical framework is further developed to support computation load allocation over multiple channel realizations, which further increases the computing probability. Last, simulation demonstrates the feasibility of wirelessly powered mobile cloud computing and the gain of its optimal control.
Non-Oil Revenue and Economic Growth in Nigeria

This study examined the effect of non-oil revenue on economic growth in Nigeria. The four specific variables proxy for non-oil revenue are: Value Added Tax, Companies Income Tax, Personal Income Tax and Custom & Excise Duties, while Gross Domestic Product was used to represent economic growth in Nigeria. The study population consists of all individuals, corporation soles and corporate organisations whose taxes were paid to the Nigerian government except firms operating in the upstream industry. The study sample consists the entire population of study using the census sampling approach. The secondary source of data collection method was used in generating data from the Federal Inland Revenue Service Statistical bulletin of 2018 and the National Bureau of Statistics of 2019 for the period 1994-2018. The descriptive statistics and Ordinary Least Square (OLS) regression techniques were used to analysed the data collected. The study findings revealed that indirect taxes (Custom & Excise Duties and Value Added Tax) have more significant positive effect on the Nigerian economic growth than direct taxes (Companies Income Tax and Personal Income Tax). Also, direct taxes have significant but negative effect on the Nigerian economic growth, especially in the long run. It is therefore recommend that simple and transparent tax laws be enacted to regulate the tax regimes in Nigeria in order to avoid any form of illicit strategic tax behaviour by management. Also, the problems of implementation of good tax reforms policies should be eliminated. Tax authority should provide strategies to strengthen the control on the significant variables identified in this study analysis. Keywords: Tax revenue, economic growth, gross domestic product, direct tax, indirect tax. DOI: 10.7176/RJFA/11-8-10 Publication date: April 30 th 2020