Miracle-dz/UniFAR-FTUs huggingface dataset:
Capacity reduction of WCDMA downlink in the presence of interference from adjacent narrow-band system

One of the main challenges when implementing the future mobile multimedia networks is the cost-effective network evolution from second- to third-generation systems. This evolution path may include the use of different technologies at the same frequency band. The performance of the wide-band code-division multiple-access (WCDMA) downlink is studied in the case when there are narrow-band (NB) interference sources at the adjacent frequencies. A simple, analytical method to calculate the downlink capacity reduction of the WCDMA macrocell in this case is presented. The analysis takes into account different downlink interference mechanisms: wide-band noise from the transmitter as well as adjacent channel interference, intermodulation, and cross-modulation originating in the mobile receiver. The effect of each interference component to the capacity of the WCDMA macrocellular network has been evaluated with numerical examples. The analysis shows that capacity per cell is sensitive to the cell size, and therefore very careful network planning is needed in order to operate the WCDMA networks efficiently. The results of this paper can be utilized when implementing the WCDMA system to the same band with existing narrow-band systems, for instance, with the PCS 1900 band in United States and GSM 1800 band in Europe.
Reducing employees' turnover in transactional services: a Lean Six Sigma case study

Purpose - The case study aims to illustrate the application of Lean Six Sigma into the human resource (HR) function of a service industry corporation. Design/methodology/approach - The study draws on process information and primary data from a real project. Findings - The study describes improvements in the HR management attributable to Lean Six Sigma: decrease of employees' voluntary turnover and increase in employees' satisfaction. Originality/value - Although being extremely successful in the last two decades in the manufacturing sector, the application of Lean Six Sigma to the service industry in general, and HR management in particular, has been a controversial topic: this study illustrates how its application can reduce employees' voluntary turnover rate and increase their satisfaction, hence increasing the return on investment of human capital.
TECHNICAL NOTE---A Computational Approach for Optimal Joint Inventory-Pricing Control in an Infinite-Horizon Periodic-Review System

This note considers a joint inventory-pricing control problem in an infinite-horizon periodic-review system. Demand in a period is random and depends on the posted price. Besides the holding and shortage costs, the system incurs inventory-replenishment costs that consist of both variable and fixed components. At the beginning of each period, a joint inventory and pricing decision is made. Under the long-run average profit criterion, we show that an optimal policy exists within the class of so-called (s, S, p) policies. This is established based on our algorithmic development, which also results in an algorithm for finding an optimal (s, S, p) policy.
Modelling banking-hall yield for property investment

Purpose – This paper aims to build a predictive model for the investment yield of British banking-halls. Design/methodology/approach – Empirical data of similar lots sold at previous auctions are subjected to statistical analyses utilizing a cross-sectional research design. The independent variables analysed are taken from a previous study using the same cases. Models are built using logistic regression and ANCOVA. Findings – Logistic regression generally generates better models than ANCOVA. A division of Britain on a north/south divide produces the best results. Rent is as good as lot size and price in modelling, but has greater utility, because it is known prior to auctions. Research limitations/implications – Cases analysed were restricted to lots let entirely as banking-halls. Other lots comprising premises only partially used as banking-halls might produce different results. Freehold was the only tenure tested. Practical implications – The study provides a form of predictive modelling for investors a.
Biological and Chemical Aspects of Natural Biflavonoids from Plants: A Brief Review.

BACKGROUND Biflavonoids belong to a subclass of the plant flavonoids family and are limited to several species in the plant kingdom. In the literature, biflavonoids are extensively reported for their pharmacological properties including anti-inflammatory, antioxidant, inhibitory activity against phospholipase A2 (PLA2) and antiprotozoal activity. METHOD These activities have been discovered from the small number of biflavonoid structures that have been investigated, although the natural biflavonoids library is likely to be large. In addition, many medicinal properties and traditional use of plants are attributed to the presence of bioflavonoids among their secondary metabolites. Structurally, biflavonoids are polyphenol compounds comprising of two identical or non-identical flavonflavonoid units joined in a symmetrical or unsymmetrical manner through an alkyl or an alkoxy-based linker of varying length. Due to their chemical and biological importance, several bioprospective phytochemical studies and chemical approaches using coupling and molecular rearrangement strategies have been developed to identify and synthesize new bioactive biflavonoids. CONCLUSION In this brief review, we present some basic structural aspects for classification and nomenclature of bioflavonoids and a compilation of the literature data published in the last 7 years, concerning the discovery of new natural biflavonoids of plant origin and their pharmacological and biological properties.
Absorptive capability and its mediating effect on the learning and market orientations' influences on performance

Prior studies have identified that learning orientation and Market Orientation (MO) have positive influences on firm performance. In this paper, the author argues that the firm's absorptive capacity serves as the bridge that facilitates the realisation of such influences. Firms must effectively communicate with stakeholders and disseminate knowledge throughout the firm. Without the capacity of assimilating learned knowledge and exploiting market intelligence, firms cannot fully realise the benefits of learning- or market-oriented corporate strategies. A mail survey was conducted to Canadian manufacturing companies. Using Structural Equation Modelling (SEM), the author tested a theoretical model that specifies absorptive capacity as the mediation variable that links organisational strategic orientations, such as learning orientation and MO, to the performance outcome indicators, such as innovation, customer satisfaction and loyalty, and financial performance. The results indicate that the model fits well with the data; all hypothesised path coefficients are positive and significant.
Novel Primers Reveal Wider Diversity among Marine Aerobic Anoxygenic Phototrophs

ABSTRACT Aerobic anoxygenic phototrophic bacteria (AAnPs) were previously proposed to account for up to 11% of marine bacterioplankton and to potentially have great ecological importance in the world's oceans. Our data show that previously used primers based on the M subunit of anoxygenic photosynthetic reaction center genes (pufM) do not comprehensively identify the diversity of AAnPs in the ocean. We have designed and tested a new set of pufM-specific primers and revealed several new AAnP variants in environmental DNA samples and genomic libraries.
Politico-Economic Developments in Turkey and the Transformation of Political Islam (1950–2010)

Between 1946 and 2010, Turkey evolved from a backward, closed agrarian economy into an open, urbanized economy with a significant industrial base capable of exporting a diverse set of products to many countries. The Turkish political system was transformed into a multi-party regime that allowed participation of the masses to political process. These developments led to a change in the political demands of the different segments of the society (including the Islamic political community) and revisions in the fundamental political concepts (such as secularism). Although Turkey has not been able to reach its long term goal of becoming a developed liberal democracy, the steps taken during this period enabled the smooth transfer of power to the Islamic-based AKP in 2003 elections. Turkey’s experience reveals that establishing a sound institutional base for multi-party democracy and market economy is a long and difficult process. It requires the resolution of a series conflicts among different interest groups and securing wide public support in an uncertain environment. Once these issues are taken into account, it is possible to detect a historical pattern in Turkey’s evolution, which can explain the 2003 election victory of the AKP and its success in the years that followed.
Tin-containing zeolites are highly active catalysts for the isomerization of glucose in water

The isomerization of glucose into fructose is a large-scale reaction for the production of high-fructose corn syrup (HFCS; reaction performed by enzyme catalysts) and recently is being considered as an intermediate step in the possible route of biomass to fuels and chemicals. Here, it is shown that a large-pore zeolite that contains tin (Sn-Beta) is able to isomerize glucose to fructose in aqueous media with high activity and selectivity. Specifically, a 10% (wt/wt) glucose solution containing a catalytic amount of Sn-Beta (1∶50 Sn:glucose molar ratio) gives product yields of approximately 46% (wt/wt) glucose, 31% (wt/wt) fructose, and 9% (wt/wt) mannose after 30 min and 12 min of reaction at 383 K and 413 K, respectively. This reactivity is achieved also when a 45 wt% glucose solution is used. The properties of the large-pore zeolite greatly influence the reaction behavior because the reaction does not proceed with a medium-pore zeolite, and the isomerization activity is considerably lower when the metal centers are incorporated in ordered mesoporous silica (MCM-41). The Sn-Beta catalyst can be used for multiple cycles, and the reaction stops when the solid is removed, clearly indicating that the catalysis is occurring heterogeneously. Most importantly, the Sn-Beta catalyst is able to perform the isomerization reaction in highly acidic, aqueous environments with equivalent activity and product distribution as in media without added acid. This enables Sn-Beta to couple isomerizations with other acid-catalyzed reactions, including hydrolysis/isomerization or isomerization/dehydration reaction sequences [starch to fructose and glucose to 5-hydroxymethylfurfural (HMF) demonstrated here].
Quality of life following trauma before and after implementation of a physician‐staffed helicopter

Implementation of a physician‐staffed helicopter emergency medical service (PS‐HEMS) in Denmark was associated with lower 30‐day mortality in severely injured trauma patients and less time on social subsidy. However, the reduced 30‐day mortality in severely injured patients might be at the expense of a worse functional outcome and quality of life (QoL) in those who survive. The aim of this study was to investigate the effect of a physician‐staffed helicopter on long‐term QoL in trauma patients.
Identification of crucial genes in ventilator associated pneumonia through protein–protein interaction network

ABSTRACT Purpose: Ventilator-associated pneumonia (VAP) is still an important cause of morbidity and mortality in patients receiving mechanical ventilation. This research aimed to investigate the genes related to VAP and potential diagnosis targets. Materials and Methods: Gene expression profiles data of GSE30385 were downloaded from Gene Expression Omnibus, which included 10 samples of patients with VAP and 10 samples of patients without VAP. The differentially expressed genes (DEGs) between two types of patients were identified by limma package and the functions and pathways of DEGs were predicted by Gene Ontology and KEGG pathway enrichment analyses. Next, the protein–protein interaction (PPI) pairs of all genes in the samples were obtained from STRING database. Then we searched genes related to VAP in NCBI, and constructed a PPI network of these genes. Subsequently, the overlapped genes between genes in the PPI network and DEGs were searched, followed by expression patterns analysis. Furthermore, genes in PPI network were subjected to function and pathway enrichment analysis, and transcription factors were screened on the basis of TRANSFAC database. Result: A total of 69 DEGs were screened between two types of patient samples, and 7 genes related to VAP were obtained. The overlapped genes (e.g. LTF, MAPK14) were enriched in MAPK cascade and immune system-related processes. In addition, MAPK14 was enriched in MAPK signaling pathway. Conclusion: The VAP-related genes (MAPK14 and LTF) might be the crucial genes in the pathogenesis of VAP, and be served as potential diagnostic targets.
Compact Substrate-Integrated 4 × 8 Butler Matrix With Sidelobe Suppression for Millimeter-Wave Multibeam Application

This letter presents a compact dual-layer 4 × 8 Butler matrix (BM) with sidelobe level (SLL) suppression in substrate-integrated waveguide (SIW) technology. Addressing the excessive crossovers in the classic 4 × 8 BM, a novel dual-layer configuration is proposed here. Such a configuration can help reduce the required crossovers from original five sets to merely one set. Therefore, the 4 × 8 BM can be significantly simplified to achieve better compactness. Based on this configuration, a SIW dual-layer 4 × 8 BM is designed with a dimension of 6.1 <italic> λ</italic> × 4.1 <italic>λ</italic>. To evaluate its SLL suppression effect, a multibeam array fed by the proposed BM is designed, simulated, and measured.
Opening Door Detection By Robot System Capstone Project

In this paper, I will apply a recognition function on an ROS Corobot system to detect whether Corobot will be able to pass through door by using several 2D image processing techniques. There are few key-points which are really important for me to solve this problem — edge extraction, light and effective elements of environment. The edge detection and light area will help me to locate the location of door and its opening area. The effective elements are used in experiments which will test my function and help me to proof that my function is reliable. My function is successful at locating a stable area which provides a reliable result for recognition in a closed environment which is not effected by any unexpected elements. Based on the performance of experiments of my function on different extreme environments, my function works well on the area which is nearby door even though the wall is glasses or the door siting deeper in wall. Furthermore, according to my experimentation it is suitable for real-time applications in moving robots.
High mobility group protein, hmg‐1, contains insignificant glycosyl modification

High mobility group protein‐1 (HMG‐1) is a ubiquitous, highly conserved, and abundant nuclear protein. Recent findings suggest that HMG‐1 may serve as a DNA chaperone protein and play a role in the regulation of transcription. There is a mounting interest in elucidating the mechanism by which HMG‐1 protein takes part in these activities. HMG‐1 has been reported to undergo an extensive array of posttranslational modifications, including glycosylation. We extend the earlier findings on the glycosylation of HMG‐1 by quantitating the amount of carbohydrate on HMG‐1 from calf thymus and chicken erythrocytes isolated by 2 different purification procedures. In addition, 2 different developmental stages (embryonic and adult) were examined in the chicken erythrocytes. The glycosyl composition was quantitated using the Dionex HPAE‐PAD II system. Furthermore, the presence of O‐linked GlcNAc on HMG‐1 was determined by the enzymatic incorporation of 3H‐galactose into HMG‐1 protein. Contrary to earlier reports, less than 0.5 mol of total monosaccharides (Fuc, Man, GalNH2, GlcNH2, Gal) were detected per mole of HMG‐1 protein, regardless of the source of the protein or the method of isolation. In addition, less than 0.002 mol of O‐linked GlcNAc per mole of HMG‐1 protein was detected. Thus, insignificant amount of glycosylation was found on HMG‐1 protein. Because O‐linked GlcNAc modification of proteins is believed to be a reversible posttranslational event, more definitive studies will need to be conducted before ruling out that the function of HMG‐1 protein is not regulated by glycosylation.
A New Look at Weak State Conditions and Genocide Risk

Abstract We present a rational choice model depicting a regime’s incentive to allocate resources to fighting rebels and killing civilians when it perceives an internal threat to its political or territorial control. The model guides our empirical inquiry of risk factors for genocide onset. Based on logit methods applied to a pooled sample of 155 countries over the period 1955–2006, we find that key variables highlighted in the theoretical model elevate genocide risk. Specifically, measures of threat, anocratic Polity scores, new state status, and low income significantly increase genocide risk, which we interpret as consistent with weak state perspectives on mass atrocity. Moreover, the threat measures matter even after controlling for internal war and the anocracy result holds even after removing components of the Polity dataset that are “contaminated” with factional violence, including genocide. Extensions of the empirical analysis to a variety of alternative measures, variables, and estimators show the robustness of weak state risk factors for genocide.
Regularizing Model Complexity and Label Structure for Multi-Label Text Classification

Multi-label text classification is a popular machine learning task where each document is assigned with multiple relevant labels. This task is challenging due to high dimensional features and correlated labels. Multi-label text classifiers need to be carefully regularized to prevent the severe over-fitting in the high dimensional space, and also need to take into account label dependencies in order to make accurate predictions under uncertainty. We demonstrate significant and practical improvement by carefully regularizing the model complexity during training phase, and also regularizing the label search space during prediction phase. Specifically, we regularize the classifier training using Elastic-net (L1+L2) penalty for reducing model complexity/size, and employ early stopping to prevent overfitting. At prediction time, we apply support inference to restrict the search space to label sets encountered in the training set, and F-optimizer GFM to make optimal predictions for the F1 metric. We show that although support inference only provides density estimations on existing label combinations, when combined with GFM predictor, the algorithm can output unseen label combinations. Taken collectively, our experiments show state of the art results on many benchmark datasets. Beyond performance and practical contributions, we make some interesting observations. Contrary to the prior belief, which deems support inference as purely an approximate inference procedure, we show that support inference acts as a strong regularizer on the label prediction structure. It allows the classifier to take into account label dependencies during prediction even if the classifiers had not modeled any label dependencies during training.
Investigation of gene‐environment interactions between 47 newly identified breast cancer susceptibility loci and environmental risk factors

A large genotyping project within the Breast Cancer Association Consortium (BCAC) recently identified 41 associations between single nucleotide polymorphisms (SNPs) and overall breast cancer (BC) risk. We investigated whether the effects of these 41 SNPs, as well as six SNPs associated with estrogen receptor (ER) negative BC risk are modified by 13 environmental risk factors for BC. Data from 22 studies participating in BCAC were pooled, comprising up to 26,633 cases and 30,119 controls. Interactions between SNPs and environmental factors were evaluated using an empirical Bayes‐type shrinkage estimator. Six SNPs showed interactions with associated p‐values (pint) <1.1 × 10−3. None of the observed interactions was significant after accounting for multiple testing. The Bayesian False Discovery Probability was used to rank the findings, which indicated three interactions as being noteworthy at 1% prior probability of interaction. SNP rs6828523 was associated with increased ER‐negative BC risk in women ≥170 cm (OR = 1.22, p = 0.017), but inversely associated with ER‐negative BC risk in women <160 cm (OR = 0.83, p = 0.039, pint = 1.9 × 10−4). The inverse association between rs4808801 and overall BC risk was stronger for women who had had four or more pregnancies (OR = 0.85, p = 2.0 × 10−4), and absent in women who had had just one (OR = 0.96, p = 0.19, pint = 6.1 × 10−4). SNP rs11242675 was inversely associated with overall BC risk in never/former smokers (OR = 0.93, p = 2.8 × 10−5), but no association was observed in current smokers (OR = 1.07, p = 0.14, pint = 3.4 × 10−4). In conclusion, recently identified BC susceptibility loci are not strongly modified by established risk factors and the observed potential interactions require confirmation in independent studies.
Business Cycles with Heterogenous Agents

I show how to construct a stochastic long-lived overlapping generation’s model that is based on a non-stochastic model developed by Olivier Blanchard and Philippe Weil and that nests the RBC model as a special case. My innovation over previous work is to add an aggregate stochastic shock. I provide three different calibrations of my model economy. One mimics the RBC model and the other two are heterogenous agent economies (HA and HATAX) with and without corporate income taxes. I show that the HA and HATAX models can explain the low safe rate of interest that has been observed for long periods in US data. The HATAX model can also explain the fact that the investment to GDP ratio in US data is lower than the profit share. All three models are almost identical in their predictions for the comovements and volatility’s of consumption, investment, employment and GDP at business cycle frequencies.
Contribution and Interactions of Hydroxycinnamic Acids Found in Bran and Wholegrain Sorghum (Sorghum bicolor L. Moench): Effects on the Antioxidant Capacity and Inhibition of Human Erythrocyte Hemolysis

An imbalance between free radicals and antioxidants is known as oxidative stress, and it promotes cellular aging and the development of chronic noncommunicable diseases. The bioactive compounds present in food play an important role in preventing oxidative stress. The aim of this study was to determine the contributions and interactions of the hydroxycinnamic acids found in the bran and whole grain of sorghum and to evaluate their effects on the antioxidant capacity and inhibition of the hemolysis of human erythrocytes. Results showed that the caffeic acid, p-coumaric acid, and ferulic acid found in sorghum contributed to the scavenging of DPPH and ABTS radicals in various proportions. Ferulic acid, which was present in bound form in the bran and wholegrain sorghum, significantly inhibited the AAPH radical-induced oxidation of the erythrocyte membranes by 78.0 and 4.3%, respectively. Combinations of two, three, or four hydroxycinnamic acids may interact in an antagonistic or synergistic manner, thereby altering each other's bioactivities. The various interactions between the different sorghum bioactives can have a significant impact on their potential bioactivities. These results can be useful in the design of functional foods that aim to deliver bioactives to mitigate cellular aging or noncommunicable diseases.