Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Curzate (fungicide) on Hematological Parameters of Oreochromis mossambicus

Curzate, a fungicide, is currently registered for commercial use in over 50 countries on more than 15 crops, creates serious threat to the environment as well as target and non-target organisms like aquatic and land dwelling animals. The present investigation was carried out to study the impact of the fungicide on the hematological parameters of fresh water fish Oreochromis mossambicus. Adult fish of nearly similar weight (25 ± 1.9 g) and length (15.5 ± 1.2cm) were exposed to two sub lethal concentration i.e. 4.9 mg/l and 2.45 mg/l of Curzate for a period of 21 days. The hematological analysis showed significant reduction in red blood cells (RBCs) count, hemoglobin (Hb) value, packed cell volume (PCV) and mean corpuscular hemoglobin concentration (MCHC), while total white blood cells (WBCs) count, mean corpuscular volume (MCV) and mean corpuscul ar hemoglobin (MCH) were significantly increased in the treated groups as compared the control group. The present study shows that Curzate causes alterations in hematological parameters leading to physiological dysfunctions thus validating the toxic effect of the fungicide on the fish.
Did you say susi or shushi? measuring the emergence of robust fricative contrasts in English- and Japanese-acquiring children

While the English fricatives /s/ and /S/ can be welldifferentiated by the centroid frequency of the frication noise alone, the Japanese fricatives /s/ and /C/ cannot be. Measures of perceived spectral peak frequency and shape developed for stop bursts were adapted to describe sibilant fricative contrasts in Englishand Japanese-speaking adults and children. These measures captured both the cross-language differences and more subtle inter-individual differences related to languagespecific marking of gender. They could also be used in deriving a measure of robustness of contrast that captured cross-language differences in fricative development.
Techniques for Measuring Empathetic Responses in Pre-Healthcare Students vs. Non-Pre-Healthcare Students

In a world with evolving healthcare systems, healthcare professionals are expected to experience and project empathy to a greater degree than they were in the past. The goal of this study was to determine the effectiveness of different techniques for measuring physiological and perceived empathy, as well as to compare data from pre-healthcare (PH) students vs. non pre-healthcare (NPH) students to determine if there were disparities between the two groups. Physiological empathy was assessed using facial electromyography (EMG) to record data from the Zygomaticus major (ZM), Corrugator supercilii (CS), and Orbicularis oculi muscles (OO). The ZM muscle is generally associated with positive emotions, while the CS muscle is generally associated with negative emotions. The OO muscle has been shown to respond to some positive emotion as well as pain-related empathy, and may be another useful measure in empathy studies. Facial EMG has been shown to reflect neurological empathetic responses through fMRI studies. Data were also collected using galvanic skin response (GSR). Perceived empathy was assessed using the Jefferson Scale of Physician Empathy, which was administered both prior to and following a viewing of media that was designed to elicit an emotional response. Participants were also instructed to report perceived empathy using a push-button. While participant self-report may be useful, it is important to note that these results may be subject to bias and are best used in conjunction with the physiological measures. Results showed that there were no significant differences between PHP and NPH students on any measures of physiological or perceived empathy. The OO muscle was shown to correlate strongly with both the ZM and CS muscles. The correlation was stronger between OO and ZM in the positive affective state ( r = .701), and stronger between OO and CS in the negative affective state ( r = .864). This finding suggests that the OO muscle responds to both positive and negative emotions, and is not likely to be a useful measure for inferring an individual’s affective state.
The Managed Heart

The phrase "emotional labor" was coined by sociologist Arlie Hochschild in 1983 in her classic book, The Managed Heart. Jobs requiring emotional labor typically necessitate contact with other people external to or within the organization, usually involving face-to-face or voice-to-voice contact, especially in service work. In this article, the authors summarize Hochschild's pathbreaking work and assess the state of the current multi- and interdisciplinary litera- ture on emotional labor. They distinguish between two interrelated areas of research on emotional labor. The first area involves predomi- nantly, though not exclusively, qualitative case studies of employees at workplaces in the service sector. A second set of studies, primarily quantitative, investigates the link between emotional labor at home, in different jobs, or in nurturing activities (a specific form of emo- tional labor) and its consequences for individual employees' job satis- faction, productivity, and pay.
Public Leadership – theoretische Zugänge, Befunde und Perspektiven der Forschung

Das Forschungsinteresse am Public Leadership korrespondiert mit einem landerubergreifend zu beobachtenden Mediatisierungstrend. Festzustellen ist aber auch eine schwache theoretische Durchdringung des Gegenstands. Der vorliegende Beitrag bestimmt und verortet den Begriff daher zunachst in der Leadership-Forschung. Anhand einer systematisierenden, interdisziplinaren Bestandsaufnahme vorliegender Ansatze und Befunde werden analytische Zugange zur Erforschung des Public Leadership aufgezeigt. Am Fallbeispiel Deutschlands wird exemplarisch untersucht, inwiefern der Bundeskanzler uber mediale Fuhrungsressourcen verfugen kann. Es soll so ein Beitrag zur Konzeptkritik geleistet werden, um weiterfuhrende Forschungsperspektiven aufzuzeigen.
The genetic variant rs4073 A→T of the Interleukin‐8 promoter region is associated with the earlier onset of exudative age‐related macular degeneration

To study the association of the single nucleotide polymorphism (SNP) rs4073 in the interleukin‐8 (IL‐8) promoter region with the diagnosis and age of onset of exudative age‐related macular degeneration (AMD) in association with the known genetic risk factors for AMD and tobacco smoking.
Hybrid core semiconductor nanowires for solar cell applications

In this study, novel design of semiconductor nano-wires in decagonal lattice with hybrid core is proposed and simulated using 3D finite difference time domain method. The hybrid core has gold/silicon combination to increase the light absorption and hence the ultimate efficiency. The reported NWs solar cell achieves broadband absorption in long wavelength region with excellent absorption (>95%) in short wavelength regime. The proposed structure with hybrid core shows an ultimate efficiency of 32.62 % which is higher than that of silicon core design by 19.7%.
Derangements of Hippocampal Calcium/Calmodulin-Dependent Protein Kinase II in a Mouse Model for Angelman Mental Retardation Syndrome

Angelman syndrome (AS) is a disorder of human cognition characterized by severe mental retardation and epilepsy. Recently, a mouse model for AS (Ube3a maternal null mutation) was developed that displays deficits in both context-dependent learning and hippocampal long-term potentiation (LTP). In the present studies, we examined the molecular basis for these LTP and learning deficits. Mutant animals exhibited a significant increase in hippocampal phospho-calcium/calmodulin-dependent protein kinase II (CaMKII), specifically at sites Thr286 and Thr305, with no corresponding change in the levels of total CaMKII. In addition, mutants show a reduction in CaMKII activity, autophosphorylation capability, and total CaMKII associated with postsynaptic density. These findings are the first to implicate misregulation of CaMKII as a molecular cause for the neurobehavioral deficits in a human learning disorder.
Rapid Earthquake Characterization Using MEMS Accelerometers and Volunteer Hosts Following the M 7.2 Darfield, New Zealand, Earthquake

We test the feasibility of rapidly detecting and characterizing earthquakes with the Quake-Catcher Network (QCN) that connects low-cost microelectromechan- ical systems accelerometers to a network of volunteer-owned, Internet-connected com- puters. Following the 3 September 2010 M 7.2 Darfield, New Zealand, earthquake we installed over 180 QCN sensors in the Christchurch region to record the aftershock se- quence. The sensors are monitored continuously by the host computer and send trigger reports to the central server. The central server correlates incoming triggers to detect when an earthquake has occurred. The location and magnitude are then rapidly esti- mated from a minimal set of received ground-motion parameters. Full seismic time series are typically not retrieved for tens of minutes or even hours after an event. We benchmark the QCN real-time detection performance against the GNS Science GeoNet earthquake catalog. Under normal network operations, QCN detects and characterizes earthquakeswithin9.1softheearthquakeruptureanddeterminesthemagnitudewithin 1 magnitude unit of that reported in the GNS catalog for 90% of the detections.
Robo-Erectus: Team Description 2005

This paper provides a brief description of Robo-Erectus (RE), the humanoid developed in the Advanced Robotics and Intelligent Control Centre of Singapore Polytechnic that will participate in the humanoid league of Ro- boCup 2005. The project to develop a low-cost humanoid platform is presented. The mechanical structure of Robo-Erectus and the evolution of its various mod- els is presented. The development of its control systems and the planning of its- dynamically stable walking and kicking gait of the robot is also described.
Mining Frequent Patterns with Item, Aggregation, and Cardinality Constraints

Recently, the topic of constraint based association mining has received increasing attention within the data mining research community. By allowing more user specified constraints other than traditional rule measurements, e.g., minimum support and confidence, research work on this topic endeavor to reflect real interest of analysts and relief them from the overabundance of rules, and ultimately, fulfill an interactive environment for association analysis. So far most work on constraint based frequent patterns (itemsets) mining has been single constraint oriented, i.e., only one specific type of constraint is considered. Surprisingly little research has been conducted to deal with multiple types of constraints. This paper is an investigation on this problem. Specifically, three types of constraints are considered, including item constraint, aggregation constraint, and cardinality constraint. We propose an efficient algorithm, MCFP (Multi Constrained Frequent Pattern mining) to accomplish the task of discovering frequent itemsets satisfying all three types of constraints. Experimental results show that our algorithm is significantly faster than the intuitive approach, post processing the generated frequent patterns against user specified constraints.
Reticulocyte hemoglobin content to diagnose iron deficiency in children.

CONTEXT Early identification of iron deficiency in children is essential to prevent the damaging long-term consequences of this disease. However, it is not clear which indices should be included in a diagnostic panel for iron deficiency and iron deficiency anemia in children. OBJECTIVE To develop an effective approach for the diagnosis of iron deficiency and iron deficiency anemia in young children. DESIGN AND SETTING Retrospective laboratory analysis, carried out over 7 weeks in 1996, using blood samples ordered by pediatricians and sent to a large metropolitan hospital for analysis. PATIENTS A total of 210 children (mean [SD] age, 2.9 [2.0] years; 120 were male) who had a lead screening test (complete blood cell count and plasma lead level) ordered by a primary care pediatrician. MAIN OUTCOME MEASURES Levels of hemoglobin (Hb), iron, transferrin, transferrin saturation (Tfsat), ferritin, and circulating transferrin receptor and reticulocyte Hb content (CHr) among patients with and without iron deficiency, defined as Tfsat of less than 20%, and iron deficiency anemia, defined as Tfsat of less than 20% and Hb level of less than 110 g/L. RESULTS Of the 210 subjects, 43 (20.5%) were iron deficient; 24 of these had iron deficiency anemia. Reticulocyte Hb content and Hb levels were the only significant predictors of iron deficiency (likelihood ratio test [LRT] = 15.96; P<.001 for CHr, and LRT = 6.59; P = .01 for Hb), and CHr was the only significant multivariate predictor of iron deficiency anemia (LRT = 30.43; P<.001). Plasma ferritin level had no predictive value (P = .97). Subjects with CHr of less than 26 pg (optimal cutoff value based on sensitivity/specificity analysis) had lower Hb level, mean corpuscular volume, mean corpuscular Hb level, serum iron level, and Tfsat, and increased red blood cell distribution width vs those with CHr of 26 pg or more (P<.001 for all). CONCLUSIONS Reticulocyte Hb content level was the strongest predictor of iron deficiency and iron deficiency anemia in children. It holds promise as an alternative to biochemical iron studies in diagnosis.
Refactoring rules effect of class cohesion on high-level design

Various refactoring rules and their impact on class cohesion at high-level designs have been investigated. Early measurement and improvement of internal quality attributes such as cohesion, allows developers to avoid extensive review, frequent modification and rewriting of specifications, designs, and source codes. The impact of refactoring is obtained by comparing class cohesion of a design before and after refactoring applied. A set of class cohesion metrics that suits four properties of a good class cohesion metric was chosen based on theoretical analysis and supported by empirical evidence. We found that refactoring rules does not always improve class cohesion values.
Theory of nondegenerate-spectrum reversal and its breaking

In this section, we briefly review the previous related work, starting with the general concept of phase conjugation in the time domain and its relation to SMI. We present a common, yet incorrect, argument according to which SMI follows from energy conservation in FWM processes. We also highlight the key role of NLS equations in modeling the dynamics of ultrafast FWM processes. These equations are at the focus of the analytical and computational modeling in this study.
Local binary pattern operator based steganography in wavelet domain

In today's digital era, secret data hiding has become important part of information security. Local Binary Pattern (LBP) operator which exploits the local intensity relationship of a coordinate with its neighborhood has been successfully implemented in texture classification and image retrieval. This paper proposes a novel steganographic technique based on LBP operator in wavelet domain for embedding and extraction of secret information. Proposed technique has been implemented in Matlab. Image quality metrics PSNR and SSIM are used to compare proposed technique with LSB substitution method.
On the Use of ADM to Contextualize Data on Legacy Source Code for Software Modernization

Legacy systems are usually made of two kind of artifacts: source code and databases. Typically, the maintenance of those systems is carried out through re-engineering processes. Although both artifacts can be independently maintained, for a more effective re-engineering of the whole system both should be analyzed and evolved jointly. This is mainly due to the fact that the knowledge expected to be extracted by analyzing both kind of artifacts at the same time is greater and richer than the one recovered by just looking at the system partly, and thus ROI and lifespan of the system are expected to improve. This paper proposes the Data Contextualization for recovering code-to-data linkages in legacy systems. This technique is framed in the ADM (Architecture Driven Modernization) approach to modernization of legacy systems, considering all involved artifacts as models. This paper also presents a tool to support that technique throughout a real-life case study.
Wetland succession in a permafrost collapse: interactions between fire and thermokarst

Abstract. To determine the influence of fire and thermokarst in a boreal landscape, we investigated peat cores within and adjacent to a permafrost collapse feature on the Tanana River Floodplain of Interior Alaska. Radioisotope dating, diatom assemblages, plant macrofossils, charcoal fragments, and carbon and nitrogen content of the peat profile indicate ~600 years of vegetation succession with a transition from a terrestrial forest to a sedge-dominated wetland over 100 years ago, and to a Sphagnum-dominated peatland in approximately 1970. The shift from sedge to Sphagnum, and a decrease in the detrended tree-ring width index of black spruce trees adjacent to the collapse coincided with an increase in the growing season temperature record from Fairbanks. This concurrent wetland succession and reduced growth of black spruce trees indicates a step-wise ecosystem-level response to a change in regional climate. In 2001, fire was observed coincident with permafrost collapse and resulted in lateral expansion of the peatland. These observations and the peat profile suggest that future warming and/or increased fire disturbance could promote permafrost degradation, peatland expansion, and increase carbon storage across this landscape; however, the development of drought conditions could reduce the success of both black spruce and Sphagnum, and potentially decrease the long-term ecosystem carbon storage.
Part of Speech Tagging-A solved problem ?

Since 100 B.C. humans are aware that the language consists of several distinct parts, called parts-of-speech. Identifying those parts-of-speech plays a crucial role in many fields of linguistics. Since TAGGIT, the first large-scale part-of-speech tagger, many algorithms and methods have been developed. Such include rule-based, probabilistic and hybrid taggers. When tagging large text corpora some problems might arise and finally the question is asked if part-of-speech tagging is a solved problem.
Bandwidth- and Latency-Aware Peer-to-Peer Instant Friendcast for Online Social Networks

Online Social Networks (OSNs) are more and more popular recently, people may through them interact with each other for the purpose of social intercourse. The client/server OSN architecture brings about the bottleneck of bandwidth and computation. It leads to the scalability problem and the communication latency increases as users grows. This paper proposes a bandwidth- and latency-aware peer-to-peer (P2P) instant friend cast scheme for every user (or peer) in OSNs to construct a friend cast tree (FCT) to send instant messages to all of its friends. A lightweight server is responsible for only easy tasks, such as logining and maintaining peer information, to facilitate the tree construction. A peer logins to the server to obtain the list of friends and their Vivaldi coordinates, which are computed by every peer in a distributed way to estimate the latency between peers. The proposed scheme also uses Available Out-Degree Estimation (AODE) to evaluate the proper out-degree of a peer, and then uses Degree-Adapted Greedy Tree Algorithm (DATGA) to construct FCT. The scheme is simulated and compared with other relevant ones to show its advantages.
FROM POINT CLOUD TO SURFACE: MODELING STRUCTURES IN LASER SCANNER POINT CLOUDS

The automatic modeling of precise structures from randomly distributed laser points derived from laser scanner data is a very hard problem, not completely solved and problematic in case of incomplete, noisy and sparse data. The generation of polygonal models that can satisfy high modeling and visualization demands is required in different applications, like architecture, archaeology, city planning, virtual reality applications and other graphics applications. The goal is always to find a way to create a computer model of an object which best fits the reality. Polygons are usually the ideal way to accurately represent the results of measurements, providing an optimal surface description. While the generation of digital terrain models has a long tradition and has found efficient solutions, the correct 3D modeling of closed surfaces or free-form objects is of recent nature, a not completely solved problem and still an important issue investigated in many research activities. In this paper we develop an approach for converting a laser scanner point cloud into a realistic 3D polygonal model that can satisfy high modeling and visualization demands. Close range photogrammetry deals since many years with manual or automatic image measurements. Now laser scanners are also becoming a standard source for input data in many application areas, providing millions of points. As a consequence, the problem of generating high quality polygonal models of objects from randomly distributed laser points is getting more and more attention. After reviewing some results in this context, we will describe a full approach for turning a usual unstructured point cloud into a consistent polygonal model. Finally, the polygonal model is turned into a hierarchical nodes network similar to VRML. A novel laserscanning processing tool, LSM3D (Laser Scanner Modeling 3D), has been developed and tested over different examples related with architectonic buildings.
Rao-Blackwellised PHD SLAM

This paper proposes a tractable solution to feature-based (FB) SLAM in the presence of data association uncertainty and uncertainty in the number of features. By modeling the feature map as a random finite set (RFS), a rigorous Bayesian formulation of the FB-SLAM problem that accounts for uncertainty in the number of features and data association is presented. As such, the joint posterior distribution of the set-valued map and vehicle trajectory is propagated forward in time as measurements arrive. A first order solution, coined the PHD-SLAM filter, is derived, which jointly propagates the posterior PHD or intensity function of the map and the posterior distribution of the trajectory of the vehicle. A Rao-Blackwellised implementation of the PHD-SLAM filter is proposed based on the Gaussian mixture PHD filter for the map and a particle filter for the vehicle trajectory. Simulated results demonstrate the merits of the proposed approach, particularly in situations of high clutter and data association ambiguity.
Peri- and post-menopausal incidental adnexal masses and the risk of sporadic ovarian malignancy: new insights and clinical management

Adnexal masses are common among peri- and post-menopausal women. Although ovarian cancer is a significant cause of mortality in menopausal women, large population-based studies demonstrate that the majority of adnexal masses are benign. Despite this, the appearance of an adnexal mass is a concern for the patient and an insight exercise for physicians. In most cases, an adnexal enlargement is an incidental finding, generally corresponding to a benign cyst and easily diagnosed by conventional ultrasound. Exceptionally an ovarian tumour may be malignant and should be treated as early as possible. When conventional ultrasound renders complex morphology other diagnostic tools must be used such as: colour Doppler and functional tumour vessel properties, serum CA 125 levels, nuclear magnetic resonance imaging and in some cases laparoscopy. Several new tumour markers are being studied for clinical application, although there are presently no clear recommendations. Adnexal masses with benign morphological and functional properties must be periodically monitored as an alternative to surgery since malignant transformation is exceptional.