Miracle-dz/UniFAR-FTUs huggingface dataset:
Behavioural operations management - identification of its research program

The rise in popularity of the behavioural operations management field has resulted in several attempts to clearly establish this multidisciplinary field. Given the divergent views of what the field actually includes, this paper attempts to contribute to an ongoing debate about the current state of the field as a research field and its future development. The paper uses Lakatos' view that suggests that instead of individual theories, scientific progress should be viewed in the context of research programs, which consist of the hard core and the protective belt. To identify subfields, the paper combines the literature review with a co-citation network analysis of the behavioural operations management field between 1957 and 2015. Six clusters are identified. The domain base cluster represents the hard core of the field, while five other clusters (newsvendor, bullwhip and inventory optimisation, social goals, supplier relationship, and organisational behaviour) represent its protective belt. In addition to the exploration of existing clusters, the analysis in the paper offers an excellent starting point to identify and position further research questions. A study like this is easily replicable and enables following the evolution of the field.
Simulation of scanning electron microscope images taking into account local and global electromagnetic fields

The authors report the development of a simulation tool with unique capabilities to comprehensively model a scanning electron microscope (SEM) signal. This includes electron scattering, charging, and detector settings, as well as modeling of the local and global electromagnetic fields and electron trajectories in these fields. Experimental and simulated results were compared for SEM imaging of carbon nanofibers embedded into bulk material in the presence of significant charging as well as for samples with applied potential on metal electrodes. The effect of the potentials applied to electrodes on the secondary emission was studied; the resulting SEM images were simulated. The image contrast depends strongly on the sign and the value of the potential. SEM imaging of nanofibers embedded into silicon dioxide resulted in the considerable change in the apparent dimensions of the fibers as well as tone reversal when the beam voltage was varied. The results of the simulations are in agreement with experimental r.
ISOLATION AND PURIFICATION OF CHLOROPHYLLS A AND B FOR THE DETERMINATION OF STABLE CARBON AND NITROGEN ISOTOPE COMPOSITIONS

A method is described to isolate and purify chlorophyll pigments from plant tissues for the determination of stable carbon and nitrogen isotope compositions. Chlorophylls are initially isolated by solvent precipitation, followed by preparative C{sub 18} reverse-phase high-performance liquid chromatography (HPLC) for final purification. The purity of the isolated pigments (chlorophyll a and chlorophyll b) was assessed by analytical HPLC, absorption spectroscopy, elemental analysis, and {sup 1}H NMR spectroscopy. A step-by-step evaluation of the separation indicates that molecular and isotropic integrity of the pigments are preserved during purification. Measurement of stable isotope composition across the HPLC peak illustrated the necessity to collect the entire peak in order to maintain isotopic integrity. Multiple stable isotope compositions ({delta}{sup 13}C, {delta}{sup 15}N) of individual molecular markers (i.e., pigments) are a powerful new tool to identify the sources of complex organic matter mixtures in the bio- and geospheres.
Comparison of two different inductively coupled plasma mass spectrometric procedures and high-performance liquid chromatography with electrochemical detection in the determination of iodine in urine

A comparison between two ICP-MS methods and HPLC with electrochemical detection (ED) for the determination of iodine is described. The first ICP-MS method involves 10-fold dilution with water using Rh as internal standard and the calibration graph was obtained with a synthetic urine. In the second ICP-MS method the sample preparation provided a 5-fold dilution with water using In as internal standard and adding nitric acid and the calibration graph was obtained by making additions to a pool of human urine samples. In the HPLC method, the urine was previously purified from organic substances through an SPE C18 column and the final portion was collected. The chromatographic column used was a C18 reversed-phase column and a silver working electrode was used versus a Pd/Pt reference electrode for ED. The calibration graph was obtained with a synthetic urine. The results show that the two ICP-MS methods are comparable in terms of analytical parameters such as precision and limit of detection. Good agreement between both ICP-MS procedures and HPLC–ED was also obtained, although the limit of detection was higher in HPLC–ED and the linear dynamic range was wider in both ICP-MS methods.
Kinoshitalite and Mn phlogopites: Trial refinements in subgroup symmetry and further refinement in ideal symmetry

The crystal structures of two manganoan 1M-phlogopites and kinoshitalite-1M (Ba, Mn brittle mica) have been re-examined to determine if cation ordering patterns in subgroup symmetries exist. In all cases, the X-ray single crystal data are better explained by the ideal symmetry of C2⁄m, which requires only one tetrahedral site (and no tetrahedral Si–Al order) and only two independent octahedral sites. Since tetrahedral Si–Al order is known for all other brittle micas with Si to Al ratios near 1:1, the kinoshitalite sample of this study, which is from a contact metamorphosed manganese deposit, may have formed under conditions that fail to promote tetrahedral order. However, undetected twinning of the kinoshitalite crystal, which could affect these results, cannot be ruled out.
A Novel Complex Filter Design With Dual Feedback for High Frequency Wireless Receiver Applications

This brief presents a low-power tunable <inline-formula> <tex-math notation="LaTeX">$G_{m}-C$ </tex-math></inline-formula> complex filter for wireless receiver applications. The proposed design achieves an unconditional stability thanks to the internal negative feedback mechanism. This negative feedback helps in achieving a high-frequency shift and the negative transconductance of the circuit improves the Image Rejection Ratio (IRR) and Common Mode Rejection Ratio (CMRR) of the proposed design. The proposed circuit has independent control over bandwidth and frequency shift which makes an attractive solution for multi-standard and multi-mode wireless receiver applications. A second order complex filter is designed for Long Term Evolution (LTE) application and used as a test vehicle to verify the proposed concept. The circuit is designed using a 180 nm CMOS process with a power consumption of <inline-formula> <tex-math notation="LaTeX">$106~\mu \text{W}$ </tex-math></inline-formula> from a 1 V supply voltage. It is centered at 9.2 MHz with −3 dB bandwidth of 1.4 MHz and provides an IRR of 51 dB with a voltage gain of 45 dB. The total integrated in-band Input Referred Noise (IRN) is <inline-formula> <tex-math notation="LaTeX">$70~\mu V_{rms}$ </tex-math></inline-formula> and FoM of 47 aJ is achieved. The area of the layout of the proposed design is <inline-formula> <tex-math notation="LaTeX">$78~\mu \text{m}$ </tex-math></inline-formula> X <inline-formula> <tex-math notation="LaTeX">$78~\mu \text{m}$ </tex-math></inline-formula>.
Recovery of Surfactant from an Aqueous Solution Using Continuous Multistage Foam Fractionation: Mixed Surfactant System

A continuous multistage foam fractionation column with bubble caps was used for surfactant recovery from mixed surfactant solutions containing polyethylene glycol tert-octylphenyl (OPEO10) and cetylpyridinium chloride (CPC) and the effects of air flow rate, foam height, and feed flow rate were investigated under a steady state of conditions. For the mixed surfactant system, the effect of synergism in the surfactant adsorption density was found. For separation efficiency, the total residual factor remained unchanged with an increasing feed molar fraction of OPEO10 (α), suggesting that the addition of OPEO10 does not increase the total separation efficiency. The residual factor of CPC increased with an increasing molar fraction of OPEO10 (α), while the residual factor of OPEO10 was lower for the mixed surfactant systems. A competitive removal was found in that the OPEO10 can compete with CPC for the bubble surface. The total separation factors and enrichment ratio of mixed surfactant systems were in-between the two single surfactant systems at a long foam residence time and, in contrast, showed antagonism at short foam residence. This is due to the difference in liquid entrainment in foam at long and short foam residence times.
Algae biocers: astaxanthin formation in sol–gel immobilised living microalgae

New biocer materials consisting of the living microalgae cells Haematococcus pluvialis immobilised within modified sol–gel silica layers can produce the metabolic carotinoid dye astaxanthin after being coated on glass then cultivated. The layer stability and viability of the embedded microalgae depends on the preparation, storage, cultivation, stressing and extraction conditions. For example the use of a new optimised culture medium ensures the viability of the immobilised microalgae cells for more than 40 days. The combined application of Fe2+ compounds with NaCl or hydrogen peroxide as stress factors causes a strong increase in astaxanthin formation within the biocer coatings during cultivation. The dye can then be extracted with various organic solvents. When combined with cell-protective additives there is only a moderate decrease in viability after solvent extraction, allowing the immobilised microalgae to be recultivated. In this way the continuous biotechnological production of astaxanthin seems possible in principle.
The Theory of Dyeing Cellulosic Fibers

The theory of dyeing was developed in the last 25 years, rather lately compared with the history of the synthetic dye industry. This delay was, to a certain extent, unavoidable, since sufficient knowledge of the submicroscopic structure of fibers and of the nature of aqueous dye solutions was not previously available. More recent develop- . ments of the theory are characterized by refinements in details and by its application to specific problems. A complete theory of substantivity has still to await the elucidation of molecular attraction forces by chemical physics, but this does not hinder the basic understanding of the dyeing phenomena. As a main achievement of the theory, mass action laws are formulated which explain and describe the equilibrium of dye absorption. Since the cellulose dyes are ionized and absorbed as ions, cellulose dyeing from the standpoint of absorption equilibrium is more complex than the dyeing of acetate and synthetic fibers with non-ionic disperse dyes. This fact fully explains the tremendous effect of salt observed in direct dyeing of cellulose. It also defines the place of cellulose dyeing in the general framework of a unitary theory of dyeing. The kinetics of dyeing is based on the concept that the rate-determining process in dyeing is the diffusion of the dye from the surface of the fiber into its interior. It can be considered as the second main achievement of the theory that it gives a satis factory description and explanation of the rate of dyeing. The third achievement of the theory of dyeing is the explanation of the trans formations of the dye in the fiber. This was studied by X-ray diffraction and light absorption measurements. The results indicate that soluble dyes and dye-formers are absorbed in monomolecular form by the fiber, but after they are insolubilized, they exhibit in many cases a tendency to crystallize. This explains the behavior of azoic and vat dyes on aftertreatment. The theory provides the dyer with an understanding of his everyday problems, and enables him to supplant empirical craft by scientifically controlled methods. This will be accelerated as the validity of the theory is generally recognized and accepted as a basis for teaching and learning the technology of textile dyeing.
Photoegradation of indigo in dichloromethane solution

The photodegradation of indigo has been studied with emphasis on the degradation products. Ultraviolet-visible spectrometry, high performance liquid chromatography and direct temperature-resolved mass spectrometry were employed for the characterisation of aged samples. Indigo, isatin, isatoic anhydride, anthranilic acid and indirubin were detected, together with other unidentified compounds. A new degradation product, tryptanthrin, was identified by both high performance liquid chromatography and mass spectrometry techniques, and two other possible degradation products have also been suggested. The degradation of synthetic and natural indigo has been compared and an explanation for the higher rate of degradation of natural indigo proposed.
Maternal Lethality and Paternal Rescue in the Apterous Mutant of a Seed Beetle, Callosobruchus analis (Fabricius) (Coleoptera: Chrysomelidae: Bruchinae)

Abstract Flight wings enable insects to find novel habitats, food and mates across wide geographic ranges. However, winged species sometimes produce apterous mutants that often have reduced fitness. Spread of the apterous mutation through the population can be restricted because of female sterility or the recessive inheritance of the mutation. In the seed beetle Callosobruchus maculatus (Fabricius) (Chrysomelidae: Bruchinae), an apterous trait was reported to be sex linked; the trait is not expressed in males. Apterous females in C. maculatus are usually sterile. This mutant in C. maculatus was lost a century ago, but recently I discovered apterous mutants in Callosobruchus analis (Fabricius), a sister species of C. maculatus. I examined the inheritance system of the mutant in C. analis. The mutation followed essentially the simple Mendelian inheritance that is presumed to be through a single autosomal locus with two alleles. Contrary to the case of C. maculatus, the apterous trait of C. analis was expressed in both females and males. I found that sterility was observed only in female mutants, but was rescued by a paternal gamete of a wild type. Since this characteristic can be used to investigate second male paternity, I conducted crossing experiments and found that C. analis exhibited non-zero second male paternity.
The Seawater Quality Monitoring and Data Inconsistency Processing System Based on a Long-Range Sensor Network

ABSTRACT Xu, H. ; Feng, J.; Ji, M. ; Fan, S. , and Ji, W. , 2020. The seawater quality monitoring and data inconsistency processing system based on LoRa sensor network. In: Hu, C. and Cai, M. (eds.), Geo-informatics and Oceanography. Journal of Coastal Research, Special Issue No. 105, pp. 219–222. Coconut Creek (Florida), ISSN 0749-0208. With the development of society and the influence of human activity, marine pollution, especially in the coastal area, has become more and more serious. Therefore, research on seawater quality plays an important role in mariculture, marine eutrophication, and algal bloom prediction. The large range and low power consumption conditions of some typical wireless transmission modes used in seawater quality monitoring systems, like ZigBee and 4G, make real-time data collection difficult. In this article, a seawater quality monitoring and data inconsistency processing system based on “long-range” (LoRa) technology is proposed. In the system, the seawater quality information is collected by the LoRa-based sensor network and transmitted to the cloud platform to perform data analysis and processing. In order to reduce the inconsistency of the data collected by multiple sensors, the algorithm of data inconsistency elimination, which is based on evidence theory and thresholds, is presented. The performances of the proposed algorithm and several other typical algorithms are evaluated through experiments. Simulation results show that the accuracy of the proposed algorithm is superior to the other compared typical algorithms, and the LoRa-based sensor network can achieve a reliable and stable performance.
Beer, Wine, or Fruit Juice: Which is Best? A Case Study of Bait Efficiency to Sample Saproxylic Beetles (Coleoptera) in an Oak Woodland

Abstract Aerial traps composed of plastic water bottles baited with attractive liquids are often used to inventory beetles, especially longhorns (Cerambycidae) and flower beetles (Scarabaeidae: Cetoniinae). Many different bait mixtures exist but their effectiveness has rarely been scientifically tested. Six different mixtures, involving red wine, white wine, lager beer, apple juice, and vinegar, as well as a water and sugar control, were compared. Fourteen replicates of the seven attractants were arranged in a thermophilic oak forest in the southwest of France. In terms of abundance and richness per trap, two attractants proved to be significantly less effective: The control and the juice mixture. The other five are equivalent for richness. For flower beetles, red wine + white wine and beer + sugar mixtures collected significantly more individuals. However, the sample collected by the beer + sugar mixture showed a lower diversity than the other wine + beer mixtures, due to the dominance of a few species of flower beetles. In terms of species composition, there was no qualitative difference between the attractants. Taking abundance into account (Bray-Curtis index), the beer + sugar blend differed from the others due to the high abundance of Cetonia aurata (Linnaeus, 1758). This study provides reasonable confidence that inventories conducted with different baits based on red wine or beer return comparable results. Finally, we recommend the beer + red wine mixture, which presents a good compromise between abundance and diversity for the different families, and is already frequently used.
Remote Sensing Monitoring of Spatial–Temporal Variation of Soil Salinization before and after Irrigation in the Yellow River Delta

ABSTRACT Sun, H. ; Xu, L. ; Wang, J., and Fu, X. , 2020. Remote sensing monitoring of spatial–temporal variation of soil salinization before and after irrigation in the Yellow River Delta. In: Hu, C. and Cai, M. (eds.), Geo-informatics and Oceanography. Journal of Coastal Research, Special Issue No. 105, pp. 56–60. Coconut Creek (Florida), ISSN 0749-0208. To study the impact of irrigation on soil salinization in the Yellow River Delta, changes in soil salinization before and after irrigation were analyzed using Gaofen-1 wide-field-view remote sensing images and the soil salinization remote sensing monitoring index. The results show the following: (1) The correlation coefficient between the salinity index and the measured soil salinity was above 0.6, which met the requirements for soil salinization monitoring. (2) During irrigation, the area of nonsaline soil was more than 97%, and the saline soil was transformed into nonsaline soil. (3) About 1 week after irrigation, the area of nonsaline soil was reduced by 11%, and the nonsaline soil was transformed into light salinized soil and moderate salinized soil. This study provides an accurate, efficient, and widely applicable method for the study of soil salinization before and after irrigation.
Insights into the Systematics of Tribe Duranteae (Verbenaceae) II: A Taxonomic Revision of the New World Genus Duranta1

Abstract A comprehensive taxonomic treatment for the New World genus Duranta L. (Duranteae, Verbenaceae) is presented for the first time. The genus consists of shrubs or small trees that are largely distributed in the Neotropics. The analyses of the morphological features support the recognition of 31 Duranta species. Duranta repens L. var. canescens Moldenke and D. mutisii L. f. serrulata Moldenke are elevated to the species rank. The previously misunderstood identity of D. obtusifolia Kunth is here untangled and properly discussed, while D. buxifolia Poir. , endemic to the Caribbean, and D. xalapensis Kunth, endemic to Mexico, are resurrected from the synonymy of D. triacantha Juss. and D. erecta L. , respectively. Eight taxa are here synonymized: D. brachypoda Tod. (= D. erecta), D. repens var. lopez-palacii Moldenke (= D. canescens P. Moroni), D. repens var. serrata Moldenke (= D. stenostachya Tod.), D. sprucei Briq. var. breviracemosa Moldenke (= D. mutisii), D. arida subsp. serpentina R. W. Sanders & Judd (= D. arida Britton & P. Wilson), D. peruviana var. longipedicellata Moldenke (= D. peruviana Moldenke), D. parvifolia Moldenke (= D. vestita), and D. vestita var. glabrescens Moldenke (= D. vestita Cham.). Duranta cajamarcensis Moldenke and D. parviflora Turcz. are reclassified as belonging to genera Citharexylum L. and Priva Adans. , respectively. Lectotypes are designated for the names D. recurvistachys Rusby (second-step), D. rostrata Pasq. , and D. xalapensis Kunth. Furthermore, D. penlandii Moldenke is reported for the first time in Colombia.
Prediction of DNA binding protein using FC feature selection in SVM with PsePSSM feature representation

DNA binding protein (DBP) plays an important role in various biological processes including DNA replication, recombination, and repair. Because of its important role in various biological activities, identification of DBP is a challenge to continue to be developed. DPB identification was initially carried out by the experimental method. However, this method is expensive and takes a lot of time. For this reason, in the last decades machine-based learning methods have been developed. Although several machine learning-based prediction methods have been developed. Research in this field is still open to continuously improving its performance. One of the efforts to improve the prediction performance of DBP is by selecting the appropriate feature vector extraction algorithm from amino acid sequences. In this paper we have used PsePSSM as feature representation and SVM with the RBF kernel combined with FC feature selection as a predictive model. Determination of the best performance is facilitated by evaluating the parameters of PsePSSM, SVM and FC. The results of the evaluation of the best performance parameters achieved an accuracy of 79.45% and AUC of 79.6%.
On the Complexity of Learning a Class Ratio from Unlabeled Data

In the problem of learning a class ratio from unlabeled data, which we call CR learning, the training data is unlabeled, and only the ratios, or proportions, of examples receiving each label are given. The goal is to learn a hypothesis that predicts the proportions of labels on the distribution underlying the sample. This model of learning is applicable to a wide variety of settings, including predicting the number of votes for candidates in political elections from polls. In this paper, we formally define this class and resolve foundational questions regarding the computational complexity of CR learning and characterize its relationship to PAC learning. Among our results, we show, perhaps surprisingly, that for finite VC classes what can be efficiently CR learned is a strict subset of what can be learned efficiently in PAC, under standard complexity assumptions. We also show that there exist classes of functions whose CR learnability is independent of ZFC, the standard set theoretic axioms. This implies that CR learning cannot be easily characterized (like PAC by VC dimension).