Miracle-dz/UniFAR-FTUs huggingface dataset:
Executive Recruitment Triads from an Agency Theory Perspective

The relationships between clients, headhunters, and candidates during the executive search process has not been researched using agency theory as the theoretical framework. This is puzzling, as the existence of common objectives and information asymmetries between these three parties make agency theory an ideal one to explain the interactions between them. We addressed this gap by developing six testable propositions for researchers. Practitioners may also benefit from the study as understanding the human assumptions in the process of executive recruitment may help increase the chances of achieving positive outcomes.
Microbial dynamics and performance in a microbial electrolysis cell-anaerobic membrane bioreactor

Membrane fouling restricts the wide application of anaerobic membrane bio-reactors (AnMBRs). In this study, a microbial electrolytic cell (MEC)-AnMBR biosystem was constructed to relieve membrane fouling. Total chemical oxygen demand (COD) removal efficiency and methane production in MEC-AnMBR were increased to 6.7% and 77.1%, respectively, in comparison to AnMBR. The membrane fouling of MEC-AnMBR was greatly lessened by the slower growth of extracellular polymeric substances (EPS) and soluble microbial products (SMP). High-throughput sequencing analysis showed that Synergistaceae-uncultured and Thermovirga were enriched in MEC-AnMBR, and Thermovirga was found as the key functional microorganism. These results indicated that MEC-AnMBR could simultaneously enhance the reactor efficiency and mitigate membrane fouling.
Secured Hash Based Burst Header Authentication Design for Optical Burst Switched Networks

Abstract The optical burst switching (OBS) is a promising technology that could meet the fast growing network demand. They are featured with the ability to meet the bandwidth requirement of applications that demand intensive bandwidth. OBS proves to be a satisfactory technology to tackle the huge bandwidth constraints, but suffers from security vulnerabilities. The objective of this proposed work is to design a faster and efficient burst header authentication algorithm for core nodes. There are two important key features in this work, viz., header encryption and authentication. Since the burst header is an important in optical burst switched network, it has to be encrypted; otherwise it is be prone to attack. The proposed MD5&RC4-4S based burst header authentication algorithm runs 20.75 ns faster than the conventional algorithms. The modification suggested in the proposed RC4-4S algorithm gives a better security and solves the correlation problems between the publicly known outputs during key generation phase. The modified MD5 recommended in this work provides 7.81 % better avalanche effect than the conventional algorithm. The device utilization result also shows the suitability of the proposed algorithm for header authentication in real time applications.
CVaR Regression Based on the Relation between CVaR and Mixed-Quantile Quadrangles

A popular risk measure, conditional value-at-risk (CVaR), is called expected shortfall (ES) in financial applications. The research presented involved developing algorithms for the implementation of linear regression for estimating CVaR as a function of some factors. Such regression is called CVaR (superquantile) regression. The main statement of this paper is: CVaR linear regression can be reduced to minimizing the Rockafellar error function with linear programming. The theoretical basis for the analysis is established with the quadrangle theory of risk functions. We derived relationships between elements of CVaR quadrangle and mixed-quantile quadrangle for discrete distributions with equally probable atoms. The deviation in the CVaR quadrangle is an integral. We present two equivalent variants of discretization of this integral, which resulted in two sets of parameters for the mixed-quantile quadrangle. For the first set of parameters, the minimization of error from the CVaR quadrangle is equivalent to the minimization of the Rockafellar error from the mixed-quantile quadrangle. Alternatively, a two-stage procedure based on the decomposition theorem can be used for CVaR linear regression with both sets of parameters. This procedure is valid because the deviation in the mixed-quantile quadrangle (called mixed CVaR deviation) coincides with the deviation in the CVaR quadrangle for both sets of parameters. We illustrated theoretical results with a case study demonstrating the numerical efficiency of the suggested approach. The case study codes, data, and results are posted on the website. The case study was done with the Portfolio Safeguard (PSG) optimization package, which has precoded risk, deviation, and error functions for the considered quadrangles.
An Air Cavity-Fed Circularly Polarized Magneto-Electric Dipole Antenna Array With Gap Waveguide Technology for mm-Wave Applications

In this communication, a low profile <inline-formula> <tex-math notation="LaTeX">$4 \times 8$ </tex-math></inline-formula> air cavity-fed circularly polarized (CP) planar antenna array with high performance for <italic>W</italic>-band is proposed. This antenna array is composed of two parts: low-loss gap waveguide (GWG) feeding network and high performance magneto-electric (ME) dipole antennas. The antenna elements are fed by the transverse coupling slots right above an air-filled high-mode cavity with checkerboard structure. Moreover, a four-way ridge GWG (RGWG) power divider with transition from RGWG to groove GWG (GGWG) is designed to excite the high-mode cavity. By properly arranging the position and size of coupling slots, each ME dipoles are excited with in-phase property. Periodic pins are arranged around both the GWG transmission line and the air cavity to create a stop band and resonant frequency. The high-mode air cavity is realized using shorted pins to split the electromagnetic field into shorted-end GGWG. Thus, the normal GWG feeding technology with a GWG power divider and a <inline-formula> <tex-math notation="LaTeX">$2 \times 2$ </tex-math></inline-formula> air cavity in different layers are combined in a single layer. The transmission loss and substrate loss of this metallic single-layer feeding network are reduced, as well as the array profile. Each CP ME dipole antenna is etched on the printed circuit board (PCB) with stable radiation pattern and wide axial ratio (AR) bandwidth performance. The proposed <inline-formula> <tex-math notation="LaTeX">$4 \times 8$ </tex-math></inline-formula> planar antenna array is simulated and fabricated to validate the design. A measured 3 dB AR bandwidth of 17% and a gain of up to 23 dBi have been achieved. The impedance matching is lower than −10 dB over the frequency band with an overall boresight gain of above 19 dBi.
The impact of a central black hole the hydrodinamic evolution of the gas inyected within super stellar clusters

We present the solution of spherically symmetric flows for the gas injected by stellar winds and supernova explosions within a super star cluster with a massive black hole at the center by using a self-consistent hydrodynamical model . We proof that our model always produce a stationary, self-consisten solution for the accretion flow and the star cluster wind, for any mass of the black hole. Although, the black hole does not modifies the large scale outflow, it shifts the threshold mechanical luminosity of the clusters to lower values. We demonstrate that in the case of star clusters with a central massive black hole the threshold mechanical luminosity separates clusters for which the stagnation radius and mass accretion rate are defined by the black hole from that, whose inner structure is defined by radiative cooling. We propose also an analytic approach to the numerical results, finding expressions for the mass accretion rate and the stagnation radius by using Bondi’s accretion theory and the theory of adiabatic star cluster winds.
Phototrophic and heterotrophic nano- and microorganisms of sea ice and sub-ice water in Guba Chupa (Chupa Inlet), White Sea, in April 2002

Autotrophic and heterotrophic flagellates, microalgae and ciliates sampled at four stations in the White Sea in April 2002 were studied using epifluorescence microscopy. The concentrations of phototrophic 1.5 ? m algae in the middle and lower part of the ice core were very high: up to 6.1 × 108 cells I-1 and 194 μg C I-1. Heterotrophic algae made up the largest proportion of the nanoplankton (2-20 μm) and microplankton (20-200 μm) at depths 10-25 m below the ice. The proportion of ciliates ranged from about 0.01% to 18% at different stations and depths. Most of the ciliate biomass in the ice was made up of typical littoral zone species, whereas the water under the ice was dominated by phototrophic Myrionecta rubra. Ice algae, mainly flagellates in the upper ice layer and diatoms in the bottom ice layer, supported the proliferation of heterotrophs, algae and ciliates in early spring. Small heterotrophs and diatoms from the ice may provide food for early growth and development of pelagic copepods. Mass development of the ice algae in early spring appears typical for the seasonal ice of the White Sea. Ice algae differ in species composition from the spring pelagic community and develop independently in time and space from the spring phytoplankton bloom.
The Construction of Social Indicator System with Structure Equation Modeling Technology

In empirical research an indicator system has to be constructed in order to quantize an abstract concept.Because of the different background of researchers,their indicator systems for the same abstract concept might prove quite different from each other in structure or weight.Based on all kinds of indicator systems and the data collected,Structure Equation Modeling technology modifies and evaluates these systems so that the most correct and neat system among them could be picked up.At the same times,weights for indicators and second grade indicators would be calculated with the factor's load.The power of the technology has presented itself through the construction of students' study style in college.
XXI.—On the Path of a Rotating Spherical Projectile

The curious effects of rotation upon the path of a spherical projectile have been investigated experimentally by Robins and many others, of whom Magnus is one of the more recent. They have also been the subject of elaborate mathematical investigation, especially by Poisson, who has published a large treatise on the question. For all that, we know as yet very little more about them than Newton did in 1666, when he made his famous experiments on what we now call dispersion.
Ice Microphysical Properties near the Tops of Deep Convective Cores Implied by the GPM Dual-Frequency Radar Observations

Using three years of observations from the Dual-Frequency Precipitation Radar (DPR) aboard the Global Precipitation Measurement (GPM) Core Observatory, properties of the cores of deep convection are examined. First, deep convective systems are selected, defined as GPM precipitation features with maximum 20-dBZ echo-top heights above 10 km. The cores of deep convection are described by the profiles of Ku- and Ka-band radar reflectivity at the location of the highest echo top in each deep convective system. Then the dual-frequency ratio (DFR) profile is derived by subtracting Ka-band from Ku-band radar reflectivity. It is found that values of DFR are larger over land than over ocean in general near the top of the convection, which is consistent with larger ice particles in stronger updrafts in continental convection. The magnitude of DFR at 12 km is positively correlated with the convection intensity indicated by 20- and 30-dBZ echo tops. The microphysical properties including volume-weighted mean diameter, ice water content, and total ice particle number concentration are derived using a simple lookup table approach. Under the same particle size distribution assumption, the cores of deep convection over land have larger ice particle size, higher ice water content, and lower particle concentration than those over ocean at levels above 10 km, but with some distinct regional variations.
Spatial EBLUP dalam Pendugaan Area Kecil

Empirical Best Linear Unbiased Prediction (EBLUP) merupakan salah satu metode dalam pendugaan area kecil. Asumsi yang digunakan dalam EBLUP adalah bahwa pengaruh acak galat area saling bebas. Namun dalam beberapa kasus, asumsi ini sering dilanggar. Penyebabnya adalah keragaman suatu area dipengaruhi area sekitarnya, sehingga pengaruh spasial dapat dimasukkan ke dalam pengaruh acak. Akibat pelanggaran ini menyebabkan penduga EBLUP menjadi bias dan memiliki ragam yang besar. Solusi untuk mengatasi hal tersebut adalah dengan memasukkan informasi pengaruh spasial ke dalam model. Pendugaan area kecil yang memperhatikan pengaruh acak spasial area dikenal dengan istilah penduga Spatial Empirical Best Linear Unbiased Prediction (SEBLUP ). Penduga SEBLUP memberikan pendugaan yang lebih baik dibandingkan dengan penduga EBLUP dengan membandingkan nilai ARRMSE dari masing-masing metode pendugaan.
Comparison of Simulators for Wireless Sensor Networks

Cilem teto prace je porovnani simulatorů pro bezdratove senzorove sitě (WSN). Prace obsahuje celkový přehled dostupných simulatorů. Simulatorům ns-2 a jeho „frameworku“ Mannasimu, OMNeT++ a jeho „frameworkům“ Castalia a MiXiM a dale simulatorům WSNet, TOSSIM a Cooja je věnovana důkladna pozornost s důrazem na použiti při simulacich WSN. Řesena je předevsim podpora modelů bezdratoveho kanalu a spotřeby elektricke energie a protokolů fyzicke, linkove a siťove vrstvy. Dale jsou v praci představeny aplikace vyvinute pro realne senzorove uzly (Tmote Sky), ktere umožnily provedeni experimentů s realnou siti. Během měřeni nastalo několik problemů a bylo potřeba pocitat s faktory, ktere experimenty ovlivňuji. Opatřeni, ktera byla provedena nebo s kterými je potřeba do budoucna pocitat, jsou prezentovana. Dale byly vyvinuty tři aplikace pro simulatory Castalia, MiXiM a TOSSIM umožňujici porovnani s realitou. Jelikož výsledky z venkovnich experimentů nejsou dostatecně spolehlive, je prace se simulatory zaměřena na předvedeni nutnosti spravne konfigurace bezdratoveho kanalu simulatorů. Vzhledem k tomu, že je simulace bezdratoveho vysilani komplexni a komplikovanou problematikou, zavěr prace je věnovan principům a opatřenim, ktere by měly být zvaženy v budoucnu.
Segundo registro de Molossops neglectus William & Genoways, 1980 (Molossidae) para o estado do Rio de Janeiro

Second record of Molossops neglectus William & Genoways, 1980 (Molossidae) for the Rio de Janeiro state. This paper describes the capture of the second specimen of Molossops neglectus in the Rio de Janeiro state. This capture was performed in Serra da Concordia in the portion located in Valenca municipality, 84 years after the first record. The locality of the new record is located about 20 km from the first (in Engenheiro Paulo de Frontin municipality), being inserted in a region of semideciduous forest in different succession stages and surrounded by pasture and secondary forest fragments. Although not representing the extent of geographical distribution, this capture is important due to the rarity of the specie. Keywords: distribution, Atlantic Forest, semidecidual forest.
A NOVEL INCREMENTAL CLUSTERING FOR INFORMATION EXTRACTION FROM SOCIAL NETWORKS

The challenge of this project concentrates upon the issue of synopsis on the remark string regarding the particular message from social media. Because of the more fame of social media, amount of remarks may increment by the side of more ratio directly later the societal message is printed. Clients can want to achieve the detailed comprehension about remark string without study entire remark set, an attempt is made in order to bunch remarks by comparative substance all at once also produce the succinct judgment outline only for this message. Seeing that any time various clients can ask for a synopsis outcome, but the existing clustering strategies cannot fulfill the current requirement of this program. We design an incremental bunching issue for remark string synopsis upon social media also propose Incremental Clustering method it can incrementally bring up to date bunching outcomes including recent arriving remarks. And also, we design a presentation interface comprising of fundamental data, keyterms, and delegate remarks. This brief look presentation interface assists clients to rapidly achieve the outline comprehension about remark string. From the experimental results it is observed that Incremental Clustering method is more efficient than KMeans and Batch clustering methods.
A Design of DBaaS-Based Collaboration System for Big Data Processing

With the recent growth in cloud computing, big data processing and collaboration between businesses are emerging as new paradigms in the IT industry. In an environment where a large amount of data is generated in real time, such as SNS, big data processing techniques are useful in extracting the valid data. MapReduce is a good example of such a programming model used in big data extraction. With the growing collaboration between companies, problems of duplication and heterogeneity among data due to the integration of old and new information storage systems have arisen. These problems arise because of the differences in existing databases across the various companies. However, these problems can be negated by implementing the MapReduce technique. This paper proposes a collaboration system based on Database as a Service, or DBaaS, to solve problems in data integration for collaboration between companies. The proposed system can reduce the overhead in data integration, while being applied to structured and unstructured data.
Pengujian Struktur Program Dengan Pengujian Jalur Dasar (Basis Path Testing) : Teori Dan Aplikasi

<div>Pengujian perangkat lunak adalah sebuah proses eksekusi program yang dilakukan untuk menemukan kesalahan-kesalahan (errors). Salah satu teknik yang digunakan adalah pengujian struktur program/kotak putih (structural/white box/glass box testing) dengan menggunakan pengujian jalur dasar (basis path testing). </div><div> </div><div>Pengujian jalur dasar adalah merupakan suatu teknik pengujian struktur program yang dilakukan berdasarkan jalur-jalur lojik yang ada. Jalur dasar (basis path) didefinisikan sebagai suatu jalur unik yang terdapat pada struktur program dimana tidak diperbolehkan terjadinya perulangan lintasan jalur yang sama persis. Semua kemungkinan jalur dasar diidentifikasi dengan melakukan kombinasi-kombinasi jalur yang ada. Untuk bisa melakukan pengujian jalur dasar maka harus ditentukan dulu grafik alir (flow graph) yang diterjemahkan dari algoritma/flow chart struktur program yang akan diuji. Pengujian jalur dasar menggunakan cyclomatic complexity/number untuk mengukur tingkat kompleksitas dari struktur program yang akan diuji sekaligus sebagai dasar untuk menentukan kasus-kasus uji (test cases) yang akan dilakukan. Pada pembahasan artikel ini akan dijelaskan bagaimana menggambarkan grafik alir berdasarkan algoritma/flow chart yang akan diuji, menghitung cyclomatic complexity, menentukan jalur-jalur dasar dan mendefinisikan kasus-kasus uji yang akan dilakukan. </div><div> </div><div>Teknik pengujian jalur dasar diimplementasikan pada pengujian unit (unit testing) dan integrasi (integration testing). Teknik pengujian ini dapat digunakan untuk melakukan proses penjaminan mutu (quality assurance) terhadap produk perangkat lunak sebelum diserahkan kepada pengguna (customer). </div><div> </div><div><table width="636" cellspacing="0" cellpadding="0" align="center"><tbody><tr><td style="padding: 9.35pt;" align="left" valign="top"><p class="MsoTitle"><a name="_Toc176304127"></a><span class="JudulArtikelChar"><span style="font-size: 12pt;">Pengujian Struktur Program Dengan Pengujian Jalur Dasar (</span></span>Basis Path Testing) : Teori Dan Aplikasi</p></td></tr></tbody></table></div><! --[if ! supportTextWrap]--><br clear="ALL" /> <! --[endif]-->
Estimating Potential Growth in the Middle East and Central Asia

The Middle East and Central Asia’s economic growth potential is slowing faster than in other emerging and developing regions, dampening hopes for reducing persistent unemployment and improving the region’s generally low living standards. Why? And is it possible to alter this course? This paper addresses these questions by estimating potential growth, examining its supply-side drivers, and assessing which of them could be most effective in raising potential growth. The analysis reveals that the region’s potential growth is expected to slow by ¾ of a percentage point more than the EMDC average over the next five years. The reasons behind this slowdown differ across the region. Lower productivity growth drives the slowdown in the Caucasus and Central Asia and is also weighing on growth across the Middle East (MENAP); while a lower labor contribution to potential growth is the main driver in MENAP. Moving forward, given some natural constraints on labor, total factor productivity growth is key to unlocking the region’s higher growth potential. For oil importers, raising physical capital accumulation through greater investment will also play an important role.
Corrected Bayesian Information Criterion for Stochastic Block Models

Abstract Estimating the number of communities is one of the fundamental problems in community detection. We re-examine the Bayesian paradigm for stochastic block models (SBMs) and propose a “corrected Bayesian information criterion” (CBIC), to determine the number of communities and show that the proposed criterion is consistent under mild conditions as the size of the network and the number of communities go to infinity. The CBIC outperforms those used in Wang and Bickel and Saldana, Yu, and Feng which tend to underestimate and overestimate the number of communities, respectively. The results are further extended to degree corrected SBMs. Numerical studies demonstrate our theoretical results.
Imaging Membrane Curvature inside a FcεRI-Centric Synapse in RBL-2H3 Cells Using TIRF Microscopy with Polarized Excitation

Total internal reflection fluorescence microscopy with polarized excitation (P-TIRF) can be used to image nanoscale curvature phenomena in live cells. We used P-TIRF to visualize rat basophilic leukemia cells (RBL-2H3 cells) primed with fluorescent anti-dinitrophenyl (anti-DNP) immunoglobulin E (IgE) coming into contact with a supported lipid bilayer containing mobile, monovalent DNP, modeling an immunological synapse. The spatial relationship of the IgE-bound high affinity IgE receptor (FcεRI) to the ratio image of P-polarized excitation and S-polarized excitation was analyzed. These studies help correlate the dynamics of cell surface molecules with the mechanical properties of the plasma membrane during synapse formation.