Miracle-dz/UniFAR-FTUs huggingface dataset:
A multi-objective robust optimization model for location-allocation decisions in two-stage supply chain network and solving it with non-dominated sorting ant colony optimization

This study proposes a new, robust multi-objective model for capacitated multivehicle allocation of customers to potential Distribution Centers (DCs) under uncertain environment. Uncertainty is de ned by discrete scenarios on demands where occurrence probability of each scenario is known. The optimization objectives are to minimize transit time and total cost, including opening cost, assumed for opening potential DCs and shipping cost from DCs to the customers, where considering di erent types of vehicles leads to a more realistic model and causes more con ict in these two objectives. A swarm intelligencebased algorithm named Non-dominated Sorting Ant Colony Optimization (NSACO) is used as the optimization tool. The proposed methodology is based on a new variant of Ant Colony Optimization (ACO) customized in multi-objective optimization problem of this research. For ensuring the authenticity of the proposed method, the computational results are compared with those obtained by NSGA-II. Results show the advantages and the e ectiveness of the used method in reporting the optimal Pareto front of the proposed model. Moreover, the optimal solutions of the robust optimization model are insensitive to the disturbance of parameters under di erent scenarios, thus the risk of decision can be eff ectively reduced.
The Identification of Opinion Leaders Algorithm based on Specific Topic

Opinion leader is an authority person who has great influence in BBS. Their linguistic behavior has a huge impact on net citizen’s behavior and thought. In this paper, we propose an algorithm called OLRA (Opinion Leader PageRank Algorithm) based on topic-field to identify opinion leaders in the Internet forum. In the algorithm the closeness degree factor and sentiment analyses are taken into consideration. Meanwhile, these two authority values are defined as the weight of links among users. The data is collected from a number of posts on Tianya forum which is a famous forum in China. In the experiment, the algorithm is compared with Interest-based PageRank algorithm, online time Algorithm, and Experience-based Algorithm, the result shows that the OLRA algorithm can identify opinion leaders than others in the Internet forum effectively.
On semisimple semigroup rings

ABSTRACr. Let qr be a property of rings that satisfies the conditions that (i) homomorphic images of I-rings are Ir-rings and (ii) ideals of Ir-rings are Ir-rings. Let S be a semilattice P of semigroups S. If each semigroup ring R[SG] (a E P) is IT-semisimple, then the semigroup ring R[SG] is also Ir-semisimple. Conditions are found on P to insure that each R[SG] (a E P) is Ir-semisimple whenever S is a strong semilattice P of semigroups S. and R[S] is Ir-semisimple. Examples are given to show that the conditions on P cannot be removed. These results and examples answer several questions raised by J. Weissglass.
The Socio-Spatial Dynamics of Identity Construction in a Gender and Development Communication Initiative

Concurrent historical shifts in feminist and development theory reflect calls to include men more fully in gender and development work. In this article, we explore the participation of men and women in Taru, a multilayered and participatory entertainment–education based gender and development (GAD) communication initiative in the Indian state of Bihar. The Taru project, co-designed and implemented by one of the present authors with on-the-ground partners, embodied the specific intent of including both females and males in an initiative that would promote better reproductive health, foster more gender equality and spur literacy. By analyzing ethnographic data collected through participatory photography, in-depth and focus interviews and participatory theatre, we work to understand how gendered identities of men and women shift in tandem amidst particular socio-historical, economic and material contexts. As we listened to participants, the politics of space emerged as central to understanding how participants both reproduce and resist hegemonic gendered identities. Adopting a postcolonial feminist stance, we work to understand the gendered politics of space, including tensions between freedom and restriction in movement, and fluid and fixed boundaries.
Prosodic resolution of prepositional phrase ambiguity in ambiguous and unambiguous situations

Introduction There is a growing body of research that demonstrates that listeners are sensitive to prosodic information and are able to utilize such information in their immediate comprehension of spoken sentences involving a wide range of syntactic ambiguity types. Thus, Marslen-Wilson et al (1992) showed that listeners distinguish NP-complement and S-complement versions of sentence fragments such as those in (1) using prosodic information, and Warren et al (1995) have shown similar use of prosody, including stress placement, in disambiguating temporarily ambiguous sentences such as (2). (Note: material in braces shows alternative completions of the preceding fragment.)
TREATED-COLOR PINK-TO-RED DIAMONDS FROM LUCENT DIAMONDS INC.

Lucent Diamonds has developed a new treatment process for natural type Ia diamonds that produces colors ranging from pink-purple through red to orangy brown, using a multi-step process that involves HPHT annealing, irradiation, and low-pressure annealing at relatively lower temperatures. Those stones that achieve a predominant pink-to-red or purple color are marketed as “Imperial Red Diamonds. ” Gemological properties and characteristic spectra are presented for 41 diamonds, representing the range of colors produced thus far. These treated-color natural diamonds can be readily identified by internal graphitization and surface etching seen with magnification, distinctive color zoning, and reactions to long- and short-wave UV radiation. The color is caused primarily by the absorption of the (N-V) - center, with further influence from the (N-V) 0 , H3, H4, and N3 centers. Other characteristic infrared and UV-visible absorption features include the H1a, H1b, H1c, 6170 cm -1 , and, frequently, 594 nm bands. This type of defect combination
RELATIVE ROLES OF HERBIVORY AND NUTRIENTS IN THE RECRUITMENT OF CORAL-REEF SEAWEEDS

The relative effects of and interactions between, bottom-up and top-down processes are fundamental to population and community structure in both terrestrial and marine systems. These issues are especially critical for seaweed populations on coral reefs, since both bottom-up and top-down factors are suggested as causes of algal invasions during reef degradation. Although algal invasions require the establishment of new recruits, most previous studies of tropical marine algae have focused on mature stages. We simultaneously manipulated nutrient supply to and herbivory on recruits of two ecologically different species of seaweed on the Great Barrier Reef. We found that herbivory strongly reduced both density and growth of recruits for both species, whereas nutrient supply had minor effects on growth of Lobophora variegatarecruits and no detectable effects on Sargassum fissifoliumrecruits. Notwithstanding the dominance of herbivory over nutrient effects, herbivory was not uniform, but varied both between species and among response variables (density and size), and was apparently stronger for nutrient-enriched plants. Our data demonstrate that the relative im- portance of bottom-up and top-down processes may depend on the species, circumstances, and life-history processes under consideration. These results also emphasize the importance of herbivores to the protection of coral reefs against algal overgrowth.
Robust & Energy Efficient Universal Gates for High Performance Computer Networks at 22nm Process Technology

— Digital systems are said to be constructed using basic logic gates. These gates are the NOR, NAND, AND, OR, EXOR & EXNOR gates. This paper presents a robust three transistors (3T) based NAND and NOR gates with precise output logic levels, yet maintaining equivalent performance than the existing logic structures. This new set of 3T logic gates are based on CMOS inverter and Pass Transistor Logic (PTL). The new universal logic gates are characterized by better speed and lower power dissipation which can be straightforwardly fabricated as memory ICs for high performance computer networks. The simulation tests were performed using standard BPTM 22nm process technology using SYNOPSYS HSPICE. The 3T NAND gate is evaluated using C17 benchmark circuit and 3T NOR is gate evaluated using a D-Latch. According to HSPICE simulation in 22 nm CMOS BPTM process technology under given conditions and at room temperature, the proposed 3T gates shows an improvement of 88% less power consumption on an average over conventional CMOS logic gates. The devices designed with 3T gates will make longer battery life by ensuring extremely low power consumption.
Spam Filtering Security Evaluation Framework Using SVM, LR and MILR

The Pattern classification system classifies the pattern into feature space within a boundary. In case adversarial applications use, for example Spam Filtering, the Network Intrusion Detection System (NIDS), Biometric Authentication, the pattern classification systems are used. Spam filtering is an adversary application in which data can be employed by humans to attenuate perspective operations. To appraise the security issue related Spam Filtering voluminous machine learning systems. We presented a framework for the experimental evaluation of the classifier security in an adversarial environments, that combines and constructs on the arms race and security by design, Adversary modelling and Data distribution under attack. Furthermore, we presented a SVM, LR and MILR classifier for classification to categorize email as legitimate (ham) or spam emails on the basis of thee text samples.
RIGOROUS PROOF OF PSEUDOSPIN FERROMAGNETISM IN TWO-COMPONENT BOSONIC SYSTEMS WITH COMPONENT-INDEPENDENT INTERACTIONS

For a two-component bosonic system, the components can be mapped onto a pseudo-spin degree of freedom with spin quantum number S = 1/2. We provide a rigorous proof that for a wide-range of real Hamiltonians with component independent mass and interaction, the ground state is a ferromagnetic state with pseudospin fully polarized. The spin-wave excitations are studied and found to have quadratic dispersion relations at long wavelength.
Studies of Interleaved DC-DC Boost Converters with Coupled Inductors

Abstract : Interleaved power converters can be very beneficial for high performance electrical equipment applications. Reductions in size and electromagnetic emission along with an increase in efficiency, transient response, and reliability are among the many advantages to using such converters. Studies of interleaved DC-DC boost converters, which were performed by members of the Power, Energy, and Thermal Division of the Air Force Research Laboratory's (AFRL) Propulsion Directorate, included theoretical derivations and simulations, and experimental demonstrations. The experimental results showed that interleaved designs can provide significant benefit when utilized for high temperature and high power applications. In addition to the electrical performance benefits, it was also demonstrated that coupled inductor interleaved boost converters can be smaller and lighter compared to conventional converter topologies. These study results have been organized and published as several technical papers during the course of this project. In this technical report, the cumulative interleaved coupled inductor DC-DC converter studies are summarized.
A novel similarity-search method for mathematical content in LaTeX markup and its implementation

Mathematical content are widely contained by digital document, but major search engines fail to offer a way to search those structural content effectively, because traditional IR methods are deficient to capture some important aspects of math language. In this paper, we propose a similarity-search method for LTEX math expressions trying to provide a new idea to better search math content. Our approach uses an intermediate tree representation to capture structural information of math expression, and based on a previous idea, we index math expressions by tree leaf-root paths. A search method to limit search set for possible subexpression isomorphism is provided. We rank search results by a few intuitive similarity metres from both structural and symbolic points of view. We also build our own proof-of-concept prototype search engine to demonstrate these ideas, and thus are able to present some evaluation results through this paper. Experiment shows these proposed measurements can advance effectiveness with respect to our baseline search method.
Advances in Developing Multiscale Flaw Models for Eddy-Current NDE (Preprint)

Abstract : The need to accurately model multiscale phenomena is ubiquitous in eddy-current nondestructive evaluation. By using volume-integral equations, we are able to develop a very simple algorithm for accurately computing the response of a very small anomaly in the presence of a much larger one. We validate the algorithm and its associated code in VIC-3D(copyright) through benchmark data on two test sets: (1) a notch at a bolt hole with an upper surface coil, and (2) a notch in a bolt hole with a plate surface coil.
THERAPEUTIC EFFECT OF NUCLEOSIDE ANALOGS ON EXPERIMENTAL AUTOIMMUNE ENCEPHALOMYELITIS IN DARK AGOUTI RATS

Experimental autoimmune encephalomyelitis (EAE) is a commonly used animal model of the human neuro- logical disorder multiple sclerosis. The purpose of the present study was to investigate the effect of combined treatment with two nucleoside analogs, ribavirin and tiazofurin, on development of EAE actively induced in highly susceptible dark agouti rats. The obtained results showed that ribavirin and tiazofurin applied either separately or in combination from the onset of the firstsymptoms of EAE after its induction (therapeutic treatment) significantly suppressed EAE's clinical symptoms. However, the most pronounced effect was gained with combined treatment, probably as a result of synergistic/additive action.
A computational approach to an optimal partition problem on surfaces

We explore an optimal partition problem on surfaces using a computational approach. The problem is to minimise the sum of the first Dirichlet Laplace--Beltrami operator eigenvalues over a given number of partitions of a surface. We consider a method based on eigenfunction segregation and perform calculations using modern high performance computing techniques. We first test the accuracy of the method in the case of three partitions on the sphere then explore the problem for higher numbers of partitions and on other surfaces.
Bankruptcy Classification of Firms Investigated by the US Securities and Exchange Commission: An Evolutionary Ensemble Computing Model Approach

This paper develops an adaptive ensemble model for bankruptcy classification of firms cited in the SEC's Accounting and Auditing Enforcement Releases (AAER). We develop a Genetic Algorithm (GA) model for bankruptcy classification of AAER firms. Our research contributes to the bankruptcy literature in several ways. First of all, it fills a gap in the bankruptcy literature by developing a domain specific model for AAER firms. Secondly, by using financial and non-financial variables, the GA model generates and optimizes a set of 'if-then' comprehensible rules for the financial failure classification of AAER firms. A Genetic Algorithm model can provide a greater degree of accuracy in predicting financial failure of firms than classical statistical models. Thirdly, we develop a model using bagging that incorporates the output from different models or sources. Finally, we demonstrate the key role of the fitness function in determining the successful performance of a financial failure GA model.
Sensitivity of simulated global-scale freshwater fluxes and storages to input data, hydrological model structure, human water use and calibration

Abstract. Global-scale assessments of freshwater fluxes and storages by hydrological models under historic climate conditions are subject to a variety of uncertainties. Using the global hydrological model WaterGAP (Water – Global Assessment and Prognosis) 2.2, we investigated the sensitivity of simulated freshwater fluxes and water storage variations to five major sources of uncertainty: climate forcing, land cover input, model structure/refinements, consideration of human water use and calibration (or no calibration) against observed mean river discharge. In a modeling experiment, five variants of the standard version of WaterGAP 2.2 were generated that differed from the standard version only regarding the investigated source of uncertainty. The basin-specific calibration approach for WaterGAP was found to have the largest effect on grid cell fluxes as well as on global AET (actual evapotranspiration) and discharge into oceans for the period 1971–2000. Regarding grid cell fluxes, climate forcing ranks second before land cover input. Global water storage trends are most sensitive to model refinements (mainly modeling of groundwater depletion) and consideration of human water use. The best fit to observed time series of monthly river discharge or discharge seasonality is obtained with the standard WaterGAP 2.2 model version which is calibrated and driven by daily reanalysis-based WFD/WFDEI (combination of Watch Forcing Data based on ERA40 and Watch Forcing Data based on ERA-Interim) climate data. Discharge computed by a calibrated model version using monthly CRU TS (Climate Research Unit time-series) 3.2 and GPCC (Global Precipitation Climatology Center) v6 climate input reduced the fit to observed discharge for most stations. Taking into account uncertainties of climate and land cover data, global 1971–2000 discharge into oceans and inland sinks ranges between 40 000 and 42 000 km3 yr−1. Global actual evapotranspiration, with 70 000 km3 yr−1, is rather unaffected by climate and land cover uncertainties. Human water use reduced river discharge by 1000 km3 yr−1, such that global renewable water resources are estimated to range between 41 000 and 43 000 km3 yr−1. The climate data sets WFD (available until 2001) and WFDEI (starting in 1979) were found to be inconsistent with respect to shortwave radiation data, resulting in strongly different actual evapotranspiration. Global assessments of freshwater fluxes and storages would therefore benefit from the development of a global data set of consistent daily climate forcing from 1900 to present.
Nanocellulosic Materials in Tissue Engineering Applications

This chapter deals with an overview of design and fabrication of three-dimensional (3D) scaffolds for tissue engineering (TE) applications using the electrospinning technique. A general introduction to cellulose, a short overview of sources and methodology for the production of cellulose nanocrystals (CNCs), and principles of tissue engineering and the electrospinning technique will be given. Applications for CNCs are manifold and range from super water absorbent, drug delivery, packaging, personal care to pharmaceuticals. However, in this chapter the application in tissue engineering will be discussed in detail.
Hypernasal Speech Detection by Acoustic Analysis of Unvoiced Plosive Consonants

People with a defective velopharyngeal mechanism speak with abnormal nasal resonance (hypernasal speech). Voice analysis methods for hypernasality detection commonly use vowels and nasalized vowels. However to obtain a more general assessment of this abnormality it is necessary to analyze stops and fricatives. This study describes a method with high generalization capability for hypernasality detection analyzing unvoiced Spanish stop consonants. The importance of phoneme-by-phoneme analysis is shown, in contrast with whole word parametrization which includes irrelevant segments from the classification point of view. Parameters that correlate the imprints of Velopharyngeal Incompetence (VPI) over voiceless stop consonants were used in the feature estimation stage. Classification was carried out using a Support Vector Machine (SVM), including the Rademacher complexity model with the aim of increasing the generalization capability. Performances of 95.2% and 92.7% were obtained in the processing and verification stages for a repeated cross-validation classifier evaluation.
Methodology of Fuel Burn Up Fitting in VVER-1000 Reactor Core by Using New Ex-Vessel Neutron Dosimetry and In-Core Measurements and its Application for Routine Reactor Pressure Vessel Fluence Calculations

Paper describes the new approach of fitting axial fuel burn-up patterns in peripheral fuel assemblies of VVER-1000 type reactors, on the base of ex-core neutron leakage measurements, neutron-physical calculations and in-core SPND measured data. The developed approach uses results of new ex-vessel measurements on different power units through different reactor cycles and their uncertainties to clear the influence of a fitted fuel burn-up profile to the RPV neutron fluence calculations. The new methodology may be recommended to be included in the routine fluence calculations used in RPV lifetime management and may be taken into account during VVER-1000 core burn-up pattern correction.
Learnability of min-max pattern classifiers

This paper introduces the class of thresholded min-max functions and studies their learning under the probably approximately correct (PAC) model introduced by Valiant. These functions can be used as pattern classifiers of both real-valued and binary-valued feature vectors. They are a lattice-theoretic generalization of Boolean functions and are also related to three-layer perceptrons and morphological signal operators. Several subclasses of the thresholded min- max functions are shown to be learnable under the PAC model.
Medical Students Academic Performance Assessment in Physiology Courses Using Formative and Summative Quizzes at SMBB Medical College Karachi, Pakistan

Background Formative practice quizzes have become common resources for self-evaluation and focused reviews of course content in the medical curriculum. In the current study two separate studies were conducted to (1) compare the effects of a single or multiple voluntary practice quizzes on subsequent summative examinations and (2) examine when students are most likely to use practice quizzes relative to the summative examinations. Material and Methods In the first study, providing a single online practice quiz followed by instructor feedback had no effect on examination average grades compared to the previous year or student performances on similar questions. However, there were significant correlations between student performance on each practice quiz and each summative examination (r 50.42 and r 50.24). When students were provided multiple practice quizzes with feedback (second study). Results there was a weak correlation between the frequency of use and performance on each summative examination (r 50.17 and r 50.07). The frequency with which students accessed the practice quizzes was greatest the day before each examination. In both studies, there was a decline in the level of student utilization of practice quizzes overtime. Conclusion we concluded that practice quizzes provide some predictive value for performances on summative examinations. Second, making practice quizzes available for longer periods prior to summative examinations does not promote the use of the quizzes as a study strategy because students appear to use them mostly to assess knowledge one to two days prior to examinations.