Miracle-dz/UniFAR-FTUs huggingface dataset:
The Relationship between Effective Leadership and Employee Performance

Leadership has drawn great attention from scholars in various fields in the recent years. The present work, however, focus on the transformational, transactional and laissez-faire leadership model and the relationship between these leadership styles and employee performance. The study is a comparison between selected public and private sector enterprises and the data comprises of 43 middle-level managers and 156 subordinates. The paper looks first at various factors that add to the effectiveness of leadership through Garrett scores. It then discusses whether there is any differences in the leadership choice between the public and private sector enterprises. Finally, the relationship between transformational, transactional, laissez-faire leaderships and employee performance is explored through correlation and regression analysis. The results are likely to suggest that leaders must have the ability to attract / influence their subordinates, be able to set clear standards of performance to their peers and act as a best role model to the subordinates. The subordinates expect that their achievements must be recognized and rewarded either with monetary or with non-monetary terms. The Garrett's score that gives the preferences of the Middle level managers and the subordinates from among various leadership styles recommended the transformational leadership style in both the public and in the private sector enterprises. The results of correlation and regression analysis suggests that the transformational leadership style has significant relationships with performance outcomes; The study thus adds some additional knowledge for a better understanding of the preferred leadership approach and appropriate style for use with subordinates in various professional levels.
Duality revisited: Construction of fractional frequency distributions based on two dual Lotka laws

Fractional frequency distributions of, for example, authors with a certain (fractional) number of papers are very irregular and, therefore, not easy to model or to explain. This article gives a first attempt to this by assuming two simple Lotka laws (with exponent 2): one for the number of authors with n papers (total count here) and one for the number of papers with n authors, n ∈ N. Based on an earlier made convolution model of Egghe, interpreted and reworked now for discrete scores, we are able to produce theoretical fractional frequency distributions with only one parameter, which are in very close agreement with the practical ones as found in a large dataset produced earlier by Rao. The article also shows that (irregular) fractional frequency distributions are a consequence of Lotka's law, and are not examples of breakdowns of this famous historical law.
Predicting successful induction of oocyte maturation after gonadotropin-releasing hormone agonist (GnRHa) trigger.

STUDY QUESTION Are there factors predicting the number of total and mature oocytes retrieved after controlled ovarian hyperstimulation (COH) utilizing a gonadotropin-releasing hormone (GnRH) antagonist protocol and a GnRH agonist (GnRHa) to induce oocyte maturation? SUMMARY ANSWER Peak estradiol (E₂) level, post-trigger LH and progesterone and the magnitude of LH rise are independent predictors of the total number of oocytes and mature oocytes retrieved. WHAT IS KNOWN ALREADY Despite multiple follicular development in high responders, oocyte retrieval after a GnRHa trigger in a small subset of patients fails to obtain a substantial number of total oocytes or mature oocytes. STUDY DESIGN, SIZE AND DURATION A retrospective chart review of all autologous and oocyte donation cycles utilizing a GnRHa antagonist protocol where GnRHa was used for the induction of oocyte maturation between 1 April 2003 and 31 December 2011. PARTICIPANTS/MATERIALS, SETTING AND METHODS A total of 508 autologous and donor IVF/ICSI cycles utilizing a GnRH antagonist protocol for COH and GnRHa for the induction of oocyte maturation at a university-based tertiary fertility center. MAIN RESULTS AND THE ROLE OF CHANCE Peak E₂ on the day of trigger (r = 0.19, P < 0.001), post-trigger LH (r = 0.12, P = 0.009) and progesterone (r = 0.47, P < 001) and LH rise (r = 0.18, P < 0.001) all positively correlated with the number of total and mature oocytes retrieved. The true incidence of empty follicle syndrome was 1.4% (7/508). There was no post-trigger LH or progesterone cut-off value for the prediction of oocyte yield. However, all cases of empty follicle syndrome occurred in patients with post-trigger LH <15 IU/l and P ≤ 3.5 ng/ml. The findings of this study may also be due to chance since it was a retrospective study and not prospectively designed. LIMITATION, REASONS FOR CAUTION This is a retrospective chart review and therefore subject to bias. Serum hormone measurements were performed between 8 and 12 h after GnRHa trigger rather than a standardized time period following trigger administration. Therefore, peak levels of LH may have been missed due to the short ascending limb of LH rise lasting approximately 4 h after GnRHa trigger. WIDER IMPLICATIONS OF THE FINDINGS The results of this study can be generalized to high responders utilizing a GnRH antagonist protocol for COH and a GnRHa for the induction of oocyte maturation. The use of alternative stimulation regimens or medications will limit the ability to generalize the results of this study to other populations. STUDY FUNDING/COMPETING INTEREST(S) This study was not funded, and there are no conflicts of interest. TRIAL REGISTRATION NUMBER n/a.
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing

In this paper, we present an approach to incorporate retrieved datapoints as supporting evidence for context-dependent semantic parsing, such as generating source code conditioned on the class environment. Our approach naturally combines a retrieval model and a meta-learner, where the former learns to find similar datapoints from the training data, and the latter considers retrieved datapoints as a pseudo task for fast adaptation. Specifically, our retriever is a context-aware encoder-decoder model with a latent variable which takes context environment into consideration, and our meta-learner learns to utilize retrieved datapoints in a model-agnostic meta-learning paradigm for fast adaptation. We conduct experiments on CONCODE and CSQA datasets, where the context refers to class environment in JAVA codes and conversational history, respectively. We use sequence-to-action model as the base semantic parser, which performs the state-of-the-art accuracy on both datasets. Results show that both the context-aware retriever and the meta-learning strategy improve accuracy, and our approach performs better than retrieve-and-edit baselines.
Homogeneous Network Embedding for Massive Graphs via Personalized PageRank

Given an input graph G and a node v ∈ G , homogeneous network embedding (HNE) maps the graph structure in the vicinity of v to a compact, ﬁxed-dimensional feature vector. This paper focuses on HNE for massive graphs, e.g. , with billions of edges. On this scale, most existing approaches fail, as they incur either prohibitively high costs, or severely compromised result utility. Our proposed solution, called Node-Reweighted PageR-ank ( NRP ), is based on a classic idea of deriving embedding vectors from pairwise personalized PageRank (PPR) values. Our contributions are twofold: ﬁrst, we design a simple and eﬃcient baseline HNE method based on PPR that is capable of handling billion-edge graphs on commodity hardware; second and more importantly, we identify an inherent draw-back of vanilla PPR, and address it in our main proposal NRP . Speciﬁcally, PPR was designed for a very diﬀerent purpose, i.e. , ranking nodes in G based on their relative importance from a source node’s perspective. In contrast, HNE aims to build node embeddings considering the whole graph. Consequently, node embeddings derived directly from PPR are of suboptimal utility. The proposed NRP approach overcomes the above deﬁ-ciency through an eﬀective and eﬃcient node reweighting algorithm, which augments PPR values with node degree information, and iteratively adjusts embedding vectors accordingly. Overall, NRP takes O ( m log n ) time and O ( m ) space to compute all node embeddings for a graph with m edges and n nodes. Our extensive experiments that compare NRP against 18 existing solutions over 6 real graphs demonstrate that NRP achieves higher result utility than all the solutions for link prediction, graph reconstruction and node classiﬁcation, while being up to orders of magnitude faster. In particular, on a billion-edge Twitter graph, NRP terminates within 4 hours, using a single CPU core.
Congruences involving central binomial coefficients and Catalan numbers

In this paper we establish some new congruences involving central binomial coefficients as well as Catalan numbers. Let p be a prime and let a be any positive integer. We determine P p a −1 k=0`2k k+d´mod p 2 for a −1 k=0`2k k+δ´mod p 3 for δ = 0, 1. We also show that 1 C n p a −1 X k=0 C p a n+k ≡ 1 − 3(n + 1) " p a − 1 3 « (mod p 2) for every n = 0, 1, 2,. , where C m is the Catalan number`2m m ´ /(m + 1), and (· 3) is the Legendre symbol.
Beyond Midlife and Before Retirement: A Short-Term Women’s Group

ABSTRACT As women move into the second half of life and towards retirement, they may experience many changes and transitions, including in health, relationships, career choices, and spirituality. Some of those changes can be distressing, such as serious health problems for themselves or their families, increased isolation, multiple losses of important people, feelings of uselessness and lack of a meaningful role, and growing questions or struggles around spirituality. Time is often seen as moving faster and increasingly limited. This short-term group offers an opportunity for women to reflect upon issues of identity, values, choices, desires, and hopes regarding relationships, work and other activities, spirituality, and health to create new visions. We describe an integrated theoretical framework that includes existentialism, mindfulness, adult development, object relations, attachment, and relational cultural therapy. We discuss the group’s underlying assumptions in terms of its short-term and semi-structured nature and its format, and suggest exercises, with examples highlighting important learning and/or group interaction. Finally, we address the need for more intensive psychotherapy, outliers, ensuring participation, and our own responses.
Mother Schooling and Malnutrition among Children of Rural-Urban Pakistan

Background: Although many causes of malnutrition are discussed in previous studies, the impact of mother schooling on malnutrition among children of rural-urban Pakistan and mediating factors is not posited in case of Pakistan. Hence, this study examine the effect of mother schooling and intervening linkages on acute and chronic malnutrition. Methods: The prior empirical relationship is examined by calculating adjusted risk-ratio with the help of binary logistic regression analyses using a sample size of 3184 rural-urban mothers retrieved from the latest Pakistan Demographic and Health Survey 2012-13 (PDHS). Results: The urban mothers without education are more likely to have stunted and underweighted infants as compared to rural ones. Rural (urban) mothers with poor (moderate) economic position have more chances of having stunted infants than urban (rural) mothers. However, only urban mothers with poor status have more chances of having underweight kids relative to mothers with rich class. The rural mothers with empowerment and with seeking for medical services are less likelihood to have stunted infants than urban ones. Value of the Study: The impact of mediating factors arising from education on rural infants’ health is higher than that on urban infants
Taxonomic Position and Species Identity of the Cultivated Yeongji 'Ganoderma lucidum' in Korea

Abstract Ganoderma lucidum has a long history of use as a traditional medicine in Asian countries. However, the taxonomy of Ganoderma species remains controversial, since they were initially classified on the basis of their morphological characteristics. Recently, it was proposed that G. lucidum from China be renamed as G. sichuanense or G. lingzhi. In the present study, phylogenetic analysis using the internal transcribed spacer region rDNA sequences of the Ganoderma species indicated that all strains of the Korean ‘G. lucidum’ clustered into one group together with G. sichuanense and G. lingzhi from China. However, strains from Europe and North American, which were regarded as true G. lucidum, were positioned in a clearly different group. In addition, the average size of the basidiospores from the Korean cultivated Yeongji strains was similar to that of G. lingzhi. Based on these results, we propose that the Korean cultivated Yeongji strains of ‘G. lucidum’ should be renamed as G. lingzhi.
Microvascular Resistance Predicts Myocardial Salvage and Infarct Characteristics in ST‐Elevation Myocardial Infarction

Background The pathophysiology of myocardial injury and repair in patients with ST‐elevation myocardial infarction is incompletely understood. We investigated the relationships among culprit artery microvascular resistance, myocardial salvage, and ventricular function. Methods and Results The index of microvascular resistance (IMR) was measured by means of a pressure‐ and temperature‐sensitive coronary guidewire in 108 patients with ST‐elevation myocardial infarction (83% male) at the end of primary percutaneous coronary intervention. Paired cardiac MRI (cardiac magnetic resonance) scans were performed early (2 days; n=108) and late (3 months; n=96) after myocardial infarction. T2‐weighted‐ and late gadolinium–enhanced cardiac magnetic resonance delineated the ischemic area at risk and infarct size, respectively. Myocardial salvage was calculated by subtracting infarct size from area at risk. Univariable and multivariable models were constructed to determine the impact of IMR on cardiac magnetic resonance–derived surrogate outcomes. The median (interquartile range) IMR was 28 (17–42) mm Hg/s. The median (interquartile range) area at risk was 32% (24%–41%) of left ventricular mass, and the myocardial salvage index was 21% (11%–43%). IMR was a significant multivariable predictor of early myocardial salvage, with a multiplicative effect of 0.87 (95% confidence interval 0.82 to 0.92) per 20% increase in IMR; P<0.001. In patients with anterior myocardial infarction, IMR was a multivariable predictor of early and late myocardial salvage, with multiplicative effects of 0.82 (95% confidence interval 0.75 to 0.90; P<0.001) and 0.92 (95% confidence interval 0.88 to 0.96; P<0.001), respectively. IMR also predicted the presence and extent of microvascular obstruction and myocardial hemorrhage. Conclusion Microvascular resistance measured during primary percutaneous coronary intervention significantly predicts myocardial salvage, infarct characteristics, and left ventricular ejection fraction in patients with ST‐elevation myocardial infarction. (J Am Heart Assoc. 2012;1:e002246 doi: 10.1161/JAHA.112.002246)
Design and Development of a Tapered Slot Vivaldi Antenna for Ultra-Wide Band Application

Ultra Wideband (UWB) has a number of applications that make it attractive for a variety of applications such as microwave imaging, wireless communications, ground penetrating radars, remote sensing and phased arrays. This paper offered the design of a tapered slot Vivaldi antenna for ultra-wideband application using FR4 substrate which has relative permittivity of 4.4. The Vivaldi Antenna is designed to cover ultra-wideband (UWB) from 3.1 to 10.6 GHz by using CST Software. In order to improve the bandwidth and the return loss characteristics of the emitted signal, UWB is discovered. The simulation results show that the return loss is better than -10dB within the preferred frequency range. Therefore the designed antenna will be useful for ultra-wideband application. Keywords— UWB, Microwave imaging, wireless communications, Ground Penetrating Radar, Remote Sensing, Phased Arrays, Tapered Slot Vivaldi Antenna.
Association of gestational age with the option of pregnancy termination for fetal abnormalities incompatible with neonatal survival

ABSTRACT Objective: To identify the profile of women seen in a Fetal Medicine unit, diagnosed with fetal abnormality incompatible with neonatal survival in their current pregnancy, and to check the association of gestational age upon diagnosis with the option of pregnancy termination. Methods: This is a retrospective cohort study carried out in the Fetal Medicine Outpatients Clinic of a university hospital, in the city of São Paulo (SP), Brazil, using medical records of pregnant women with fetus presenting abnormalities incompatible with neonatal survival. The sample comprised 94 medical records. The Statistical Package for the Social Sciences (SPSS), version 19, was used for the data statistical analysis. Results: The population of the study included young adult women, who had complete or incomplete high school education, employed, with family income of one to three minimum wages, single, nonsmokers, who did not drink alcoholic beverages or used illicit drugs. Women with more advanced gestational age upon fetal diagnosis (p=0.0066) and/or upon admission to the specialized unit (p=0.0018) presented a lower percentage of termination of pregnancy. Conclusion: Due to characteristics different from those classically considered as of high gestational risk, these women might not be easily identified during the classification of gestational risk, what may contribute to a late diagnosis of fetal diseases. Early diagnosis enables access to specialized multiprofessional care in the proper time for couple's counseling on the possibility of requesting legal authorization for pregnancy termination.
EVM and BER evaluation of C band new Airport surface communication systems

AeroMACS (Aeronautical Mobile Airport Communication System) is proposed for future airport surface communication system in the C band. In this paper, we report the results of an experiment at Sendai airport in Japan to evaluate the AeroMACS. Our base station covers the approximately 3km×1km rectangular airport surface with a transmitter power of 1W. A BER (Bit Error Rate) of less than 10-6 is required at the physical layer in order to realize reliable data communication systems. However, measurement of the BER is difficult especially in field experiments because another data link is required to inform the receiver of the correct transmitted symbols. Therefore, we calculate the relationship between EVM (Error Vector Magnitude) and BER by computer simulation, then translate the EVM which is measured in the experiment into BER. The results show that 64QAM-3/4 can be used with a BER of less than 10-6 in 64.3% of the LOS (Line Of Sights) area and 64QAM cannot be used in almost all NLOS (Non Line Of Sights) areas at Sendai airport.
Analysis of gossip performance with copulas

We propose a novel framework for analyzing the dynamic performance of a gossip protocol on a graph through the use of copulas. Copulas are a statistical technique that express the joint distribution of a set of random variables as a function of their marginal distributions. Using a version of gossip appropriate for wireless networks, we model the system dynamics through equations expressed in terms of q(i,t), the probability that node i has not received by time t, and r(i,t), the probability that node i does not transmit at time t. The solution of the system equations can be used to predict the fraction of nodes that have received the message by time t, which is an important measure of gossip protocol performance. The analysis is verified with simulation results on four different network topologies: a grid, a random geometric graph, an Erdos-Renyi graph, and a small-world graph. The model captures the system dynamics of the gossip protocol very well over a wide range of conditions.
Matrix converters

This paper deals with the vector-controlled MCT matrix converter induction motor drive with minimized commutation time and enchanced waveform quality. It also deals with the design, construction, and testing of a 10-kVA three-phase to three-phase matrix converter induction motor drive. The converter has been built using discrete 65 A metal-oxide-semiconductor (MOS) controlled thyristors (MCTs). The commutation time has been minimized to avoid any unnecessary waveform distortion, particularly at low demanded output voltages. This minimization gives the matrix converter superior waveform quality in comparison to a conventional inverter and maximizes the available converter output voltage before over modulation is required. The converter is vector controlled and has been tested using a 12-hp induction motor. Full results of these tests are presented.
Doxorubicin Induces Inflammatory Modulation and Metabolic Dysregulation in Diabetic Skeletal Muscle

Anti-cancer agent doxorubicin (DOX) has been demonstrated to worsen insulin signaling, engender muscle atrophy, trigger pro-inflammation, and induce a shift to anaerobic glycolytic metabolism in skeletal muscle. The myotoxicity of DOX in diabetic skeletal muscle remains largely unclear. This study examined the effects of DOX on insulin signaling, muscle atrophy, pro-/anti-inflammatory microenvironment, and glycolysis metabolic regulation in skeletal muscle of db/db diabetic and db/+ non-diabetic mice. Non-diabetic db/+ mice and diabetic db/db mice were randomly assigned to the following groups: db/+CON, db/+DOX, db/dbCON, and db/dbDOX. Mice in db/+DOX and db/dbDOX groups were intraperitoneally injected with DOX at a dose of 15 mg per kg body weight whereas mice in db/+CON and db/dbCON groups were injected with the same volume of saline instead of DOX. Gastrocnemius was immediately harvested, weighed, washed with cold phosphate buffered saline, frozen in liquid nitrogen, and stored at −80°C for later analysis. The effects of DOX on diabetic muscle were neither seen in insulin signaling markers (Glut4, pIRS1Ser636∕639, and pAktSer473) nor muscle atrophy markers (muscle mass, MuRF1 and MAFbx). However, DOX exposure resulted in enhancement of pro-inflammatory favoring microenvironment (as indicated by TNF-α, HIFα and pNFκBp65) accompanied by diminution of anti-inflammatory favoring microenvironment (as indicated by IL15, PGC1α and pAMPKβ1Ser108). Metabolism of diabetic muscle was shifted to anaerobic glycolysis after DOX exposure as demonstrated by our analyses of PDK4, LDH and pACCSer79. Our results demonstrated that there might be a link between inflammatory modulation and the dysregulation of aerobic glycolytic metabolism in DOX-injured diabetic skeletal muscle. These findings help to understand the pathogenesis of DOX-induced myotoxicity in diabetic muscle.