Miracle-dz/UniFAR-FTUs huggingface dataset:
COMPARATIVE EXAMINATIONS OF MAGNETIC FIELD EFFECTS ON PUPAL DEVELOPMENT IN THREE HOLOMETABOLOUS INSECT SPECIES

The development of new technologies in the last decades has actuated researches on effects of magnetic and electromagnetic fields on individual performance and physiological reactions in living systems. Our work is based on the model of pupal development and compares insect species belonging to different orders: Tenebrio molitor (Coleoptera), Drosophila melanogaster (Diptera) and Apis melifica (Hymenoptera). A highly significant increase in the rate of adult eclosion was detected in all examined species reared under constant external magnetic field suggesting unique mechanisms of magnetic field influence on development of three evolutionary distant insect species.
Oystercatchers' Bill Shapes as a Proxy for Diet Specialization: More Differentiation than Meets the Eye

Eurasian Oystercatchers Haematopus ostralegus ostralegus are a classic example of individual feeding specialization. Feeding specialization causes morphological differentiation in Oystercatchers' bill shapes due to varying degrees of abrasion associated with specific handling techniques for each prey species. Consequently, the Oystercatcher's bill shape has been used as a proxy for diet specialization, as it provides a quick and easy way to assess the diet choice of this marine top-predator. However, bill shapes of Oystercatchers are categorized visually in distinct types, while it has been argued that the relevant variation is continuous. Also, it is unclear how comparable the bill-shape classification is among studies and between the sexes and how universal bill shape-diet relationships are. Here we investigate the usefulness of bill-shape types as a proxy for diet choice in Oystercatchers, using four new and two published datasets. We show that quantitative bill-morphometrics provide no evidence that bill-shape types are discrete entities. Additionally, the dimensions of the same bill-shape type differ across studies. This difference is unlikely to be caused by methodology and might reflect subtle additional feeding specialization among birds with the same bill-shape type. Moreover, we show that the tip of the bill of males is typically 7% higher than that of females with the same bill-shape type. A higher — and probably stronger — bill tip in males may explain why males had more shellfish in their diet than females with the same bill-shape type. Finally, a literature-review shows that the exact bill shape-diet relationship differs between studies and the sexes. We conclude that the interpretation of bill-shape type as a proxy for diet choice in Oystercatchers is context dependent. We propose that quantitative bill dimensions are a better proxy for feeding specialization than bill-shape types.
THE EFFECT OF CORPORATE GOVERNANCE DISCLOSURE ON INVESTOR REACTIONS WITH PROFITABILITY AS MODERATING VARIABLE

The aim of this research is to understand how Corporate Governance affects investor’s reaction in capital market by profitability as a moderating variable. This research uses secondary data obtained from Indonesian Stock Exchange. Investor’s reaction is measured by Cumulative Abnormal Return, which happened around the time of annual report publication. Corporate Governance are measured by Institutional ownership, ownership by board of commissioner, audite commite, and independent commissioner. Profitability as moderating variabel is measured by Return on Asset. This research was done to 25 companies which were listed in Indeks LQ 45 in Indonesian Stock Exchange during 20152016. Data analysis techniques used in this research are regresion analysis and moderated regresion analysis (MRA). The result shows that corporate governance (Institutional ownership, ownership by board of commissioner, audite commite, and independent commissioner) negatively affect Cumulative Abnormal Return. Profitability as a moderating variable was able to explain the relationship of corporate governance (ownership by board of commissioner and audite commite) affect significantly to Cumulative Abnormal Return partially. Corporate governance does not have any impact to Cumulative Abnormal Return value, because of the implementation of corporate governance in Indonesia is not provide optimum results mean while in the process of considering corporate governance practices take time to know the benefits.
Do Maternal Oral Health-Related Self-Efficacy and Knowledge Influence Oral Hygiene Behavior of their Children?

Background This study aimed to assess the effects of maternal self-efficacy and oral health-related knowledge on pre-school children oral hygiene behavior. Materials and Methods This cross-sectional study was conducted on 301 mothers with children aged 2–6 years old randomly selection from health centers of Tabriz, Iran. Data were collected using self-report questionnaires including demographic characteristics, maternal self-efficacy, oral health-related knowledge, and children’s oral hygiene behavior. Data were analyzed using SPSS 16 using one-way ANOVA, Independent samples t-test, and multiple linear regressions at 95% significant level. Results The mean age of children was 4.1(standard deviation [SD] =1.4; range: 2–6 years). The mean score (SD) of children oral hygiene behavior was 5.4 (1.9). The mean score (SD) of mothers knowledge and self-efficacy were 4.9 (1.8) and 46.6 (14.8), respectively. 44.2% (133/301) of mothers had low self-efficacy and 55.8% (168/301) high self-efficacy. The children oral hygiene behavior was significantly and positively associated with maternal self-efficacy (r = 0.517, P < 0.001) and oral health-related knowledge (r = 0.363, P < 0.001). Conclusion According to the results of this study, mothers’ self-efficacy and knowledge was the strongest predicator of children oral hygiene behavior. So, educational interventions to improve maternal self-efficacy and knowledge may be beneficial for children oral health habits.
Sensitivity analysis of daubechies 4 wavelet coefficients for reduction of reconstructed image error

Quantization of compressed image file reduces the requirements for memory storage and the transmission bandwidth. However, the cost of quantization is loss of information. On the receiver end when image is reconstructed from lossy de-quantized file using the wavelet reconstruction coefficients, it is impossible to create a perfect image exactly like the original image. This paper records the sensitivity analysis of wavelet coefficients to determine which coefficients contribute to the image reconstruction and in what way and how they should be changed to reconstruct a perfect image. Some interesting findings have been recorded in the conclusion section.
Decision-making tool considering the interaction of the production systems and the environment

Ternary diagrams are presented as graphic tools to assist environmental accounting and environmental decisionmaking based on emergy analysis. Besides the unquestionable advantages of graphic interpretation over table analysis, the use of ternary diagrams, widely used for physical chemistry evaluation of three components systems, or three components phase diagrams, permits the use of phase diagrams properties to assess the dependence of the system upon renewable and non renewable inputs, the environmental support for dilution and abatement of process emissions and the system efficiency. The prompt visualization of the emergy accounting data makes possible to compare processes and systems with and without ecosystem services, to evaluate improvements and to follow the system performance over time. With the aim of ternary diagrams, aspects such as the interaction between systems and the interactions between systems and the environment can be readily recognized and
Metacognitive Dysfunction in Schizophrenia

Metacognition is the high-level cognitive function that can be defined as “any knowledge or cognitive process that refers to, monitors, or controls any aspect of cognition” [1]. This definition comes from developmental psychology based on Piaget's theories when Flavell, in the 1970’s, used the term metamemory in regard to an individual's ability to manage and monitor the input, storage, search and retrieval of the contents of his own memory [2]. Nowadays two areas of cognitive science are included under the umbrella concept of metacognition: the knowledge of cognition (metarepresentation) and the cognitive control of the cognitive processes (executive function).
VIEWING THE ROOTS OF POLYNOMIAL FUNCTIONS IN COMPLEX VARIABLE: THE USE OF GEOGEBRA AND THE CAS MAPLE

Admittedly, the Fundamental Theorem of Calculus - TFA holds an important role in the Complex Analysis - CA, as well as in other mathematical branches. In this article, we bring a discussion about the TFA, the Rouche´s theorem and the winding number with the intention to analyze the roots of a polynomial equation. We propose also a description for a method that involves a complementary perspective for the use of two mathematical softwares. Thus, with the intention of cheking the TFA and other mathematical properties related with the polynomial equation roots, we enphazise the visualization, an exploration with the Geogebra and the computer algebric system - CAS Maple. This CAS permits execute complex algebric operations and the visualization of tridimensional objects. On the other hand, the software Geogebra makes possible the dynamic mathematical exploration of the sciencific concepts in the teaching context of CA.
Housing Choices of Muslim Immigrants in Italy

This paper aims to study housing choices of Muslim immigrants in Italy using micro level data collected by the ISMU Foundation. For this purpose, a probit model of home ownership is estimated using demographic variables such age, education, marital status, family characteristics, religion as well as financial variables measuring household expenses and financial difficulty. This is intended as a first step in uncovering household preferences for various investment alternatives among Muslim population in Western societies.
Treatments to Optimize Dental Implant Surface Topography and Enhance Cell Bioactivity

Osseointegration is a biological process in which histological, surgical, infectious factors, biomechanical load, and the choice of biomaterials all play important roles. In the case of dental implants, the success of this process is also influenced by the design, composi‐ tion, and properties of the implant surface, which may stimulate cell bioactivity and promote osteoblast adhesion. Currently, the raw materials most frequently used in the manufacture of dental implants are titanium, its alloys, and certain ceramic materials such as zirconia. Multiple macroscopic designs incorporating various diameters, lengths, shapes, and types of screw offer different options for specific clinical situations. The characteristics of implant surfaces have aroused great interest, due to their importance in osseointegration. The different methods used to modify surface properties are classi‐ fied as additive (i.e., impregnation and coating) or subtractive (i.e., physical, mechani‐ cal and chemical methods). The surface characteristics of dental implants also have a significant influence on peri-implant microbiota.
Automatic Control of Mean Arterial Pressure during Trauma Resuscitation using Closed-Loop Vasopressor Therapy

Hemodynamic stabilization of combat casualties with hemorrhagic shock often requires fluid resuscitation. However, rapid acting vasopressors are being used with increasing frequency to help maintain adequate perfusion of the brain and other vital organs, especially when hemodynamic stability is not maintained despite infusion of fluids. In this paper, a computerized decision support and fully autonomous closed-loop system to regulate the target blood pressure and to maintain hemodynamic stability is proposed. Two closed-loop algorithms using phenylephrine are designed and examined: anti-windup proportional integral control and adaptive internal model control. For analysis, design and evaluation dynamic mathematical models are identified to quantify mean arterial pressure response to phenylephrine using animal experiment data. A simple first-order time-delayed model is proposed. The controllers are first evaluated in a simulation environment, then implemented and validated in several animal experimental studies. Automatic control of blood pressure with anti-windup proportional integral control approach is used for the treatment of 15 anesthetized swine subjected to hypotension induced by standard hemorrhage, spinal cord injury, and sodium nitroprusside. From simulations and experimental responses it is found that the proposed automatic closedloop control systems keeps mean arterial pressure near target.
CONVERGENCE OF MIMETIC FINITE DIFFERENCE METHOD FOR DIFFUSION PROBLEMS ON POLYHEDRAL MESHES WITH CURVED FACES

New mimetic finite difference discretizations of diffusion problems on unstructured polyhedral meshes with strongly curved (non-planar) faces are developed. The material properties are described by a full tensor. The optimal convergence estimates, the second order for a scalar variable (pressure) and the first order for a vector variable (velocity), are proved.
Neural Identification of Fuzzy Anomalies in Pressurized Water Systems

The objective of a Water Supply System (WSS) is to convey treated water to consumers through a pressurized network of pipes. A number of meters and gauges are used to take continuous or periodic measurements that are sent via a telemetry system to the control and operation centre and used to monitor the network. Using this typically limited number of measures together with demand predictions the state of the system must be assessed. Suitable state estimation is of paramount importance in diagnosing leaks and other anomalies in WSS. But this task can be really cumbersome, if not unattainable, for human operators. The aim of this paper is to explore the possibility for a neural network to perform such a task. For one thing, state estimation of a network is performed by using optimization techniques that minimize the discrepancies between the measures taken by telemetry and the values produced by the mathematical model of the network, which tries to reconcile all the available information. But, for the other, although the model can be completely accurate, the estimation is based on data containing non negligible levels of uncertainty, what definitely influences the precision of the estimated states. The quantification of the uncertainty of the input data (telemetry measures and demand predictions) can be achieved by means of robust estate estimation. By making use of the mathematical model of the network, estimated states together with uncertainty levels, that is to say, fuzzy estimated states, for different anomalous states of the network can be obtained. Also a description of the anomaly associated with such fuzzy state must be stored. The final aim is to train a neural network capable of assessing WSS anomalies associated with particular sets of measurements received by telemetry and demand predictions.
Benefits of regular physical activity on Doxorubicin-induced Kidney Toxicity

A doxorrubicina (DOX), antraciclina usada na quimioterapia no tratamento de diversos cancros, encontra-se associada a varios efeitos colaterais, nomeadamente a toxicidade nos mais diversos tecidos em doentes oncologicos e/ou sobreviventes. O dano renal, o aumento da espessura da capsula de bowman (ECB) e a deposicao de colageno nos rins, sao alguns dos efeitos adversos associados a diminuicao da funcao renal. No entanto, atividade fisica regular podera ser utilizada como um recurso terapeutico para a diminuicao desses efeitos, tanto em humanos como em animais. Estudos ja tem vindo demonstrar os beneficios da pratica regular de exercicio fisico na diminuicao da toxicidade renal em ratos saudaveis, nomeadamente nos parâmetros referidos anteriormente, no dano renal, na deposicao de colagenio e na espessura da capsula de bowman. O objetivo deste trabalho foi verificar a toxicidade e os mecanismos subjacentes a DOX; e se a pratica de exercicio fisico poderia ser capaz de reverter a toxicidade renal induzida pela prolongada administracao da DOX, imitando um protocolo de quimioterapia, em ratos saudaveis. Quarenta ratos Wistar machos foram divididos aleatoriamente em 2 clusters: 1) tratado com DOX (DOX, n=17) semanalmente com uma injecao intraperitoneal (i.p) de 2 mg/kg de DOX durante 7 semanas e 2) tratado com solucao salina esteril (SSS, n=17) com a administracao semanal de uma injecao i.p de veiculo durante 7 semanas. Duas semanas apos a ultima injecao, 5 animais de cada grupo (SSSG, n=5; DOXG, n=5) foram sacrificados e os restantes divididos em subgrupos: sedentarios (DOXsedG, n=6; SSSsedG, n=6) e ativos (DOXactG, n=6; SSSactG, n=6). Ambos os subgrupos foram colocados individualmente numa jaula durante 2 meses. A jaula dos animais ativos estava equipada com uma roda de aco. No final do protocolo, os animais foram sacrificados e os rins foram analisados histologicamente. Os resultados relevaram que os rins dos animais tratados com DOX obtiveram maiores niveis de dano, de deposicao de colagenio e um aumento da ECB a curto prazo quando comparado com o SSSG group (p<.05). Por outro lado, a longo prazo nos animais do DOXsedG apenas se verificou maior dano e um aumento da ECB relativamente aos DOXG group (p<.05). Enquanto que, no grupo ativo com DOX, o dano renal, a deposicao de colagenio e a ECB diminuiram relativamente ao grupo DOXsedG (p<.05). Em suma, a corrida voluntaria de forma regular, parece melhorar e atenuar os efeitos colaterais renais em ratos saudaveis apos um tratamento quimiotatico perlongado.
The Impact of Regulation on a Firm’s Incentives to Invest in Emergent Smart Grid Technologies

Abstract This paper analyzes the implementation of new technologies in network industries through the development of a suitable regulatory scheme. The analysis focuses on Smart Grid (SG) technologies which, among others benefits, could save operational costs and reduce the need for further conventional investments in the grid. In spite of the benefits that may result from their implementation, the adoption of SGs by network operators can be hampered by the uncertainties surrounding actual performances. A decision model has been developed to assess the firms’ incentives to invest in “smart” technologies under different regulatory schemes. The model also enables testing the impact of uncertainties on the reduction of operational costs, and of conventional investments. Under certain circumstances, it may be justified to support the development and early deployment of emerging innovations that have a high potential to ameliorate the efficiency of the electricity system, but whose adoption faces many uncertainties.
The Intra-Annual Variability of Discharge, Sediment Load and Chemical Flux from the Monitoring: The Yukon River, Alaska

The covered-ice breakup in subarctic to arctic rivers in the early snowmelt season often gives any damage to instruments monitoring physical and chemical factors of water. The serious condition has brought few time series data during the snowmelt runoff except the river stage or discharge. In this study, the contribution of snowmelt runoff to the discharge and sediment load is quantified by monitoring water turbidity and temperature at the lowest gauging station of U. S. Geological Survey in the Yukon River, Alaska, for more than 3 years (June 2006 to September 2009). The turbidity was recorded by a self-recording turbidimeter with a sensor of infrared-ray back-scattering type, of which the window is cleaned by a wiper just before a measurement. The turbidity time series, coupled with frequent river water sampling at mid-channel, produce time series of suspended sediment (SS) concentration, particulate organic carbon (POC) concentration and particulate organic nitrogen (PON) concentration (mg? L–1) by using the high correlation (R2 = 0.747 to 0.790; P 11 to 2.01 × 1011 m3), 8.7% - 22.5% of the annual sediment load (3.94 × 107 to 5.08 × 107 ton), 11.6% - 23.7% of the annual POC flux (4.05 × 105 to 4.77 × 105 ton), and 10.3% - 24.5% of the annual PON flux (2.80 × 104 to 3.44 × 104 ton). In the snowmelt season, the peak suspended sediment concentration preceded the peak discharge by a few days. This probably results from the fluvial sediment erosion in the river channels.
Understanding and utilization of genotype-by-environment interaction in maize breeding

Due to the interaction and noise in the experiments, yield trails for studying varieties are carried out in numerous locations and in the course of several years. Data of such trials have three principle tasks: to evaluate precisely and to predict the yield on the basis of limited experimental data; to determine stability and explain variability in the response of genotypes across locations; and to be a good guide for the selection of the best genotype for sowing under new agroecological conditions. The yield prediction without the inclusion of the interaction with the environments is incomplete and imprecise. Therefore, a great deal of breeding and agronomic studies are devoted to observing of the interaction via multilocation trials with replicates with the aim to use the interaction to obtain the maximum yield in any environment. Fifteen maize hybrids were analyzed in 24 environments. As the interaction participates in the total sum of squares with 6%, and genotypes with 2%, the interaction deserves observations more detailed than the classical analysis of variance (ANOVA) provides it. With a view to observe the interaction effect in detail in order to prove better understanding of genotypes, environments and their interactions AMMI (Additive Main Effect and Multiplicative Interaction) and the cluster analysis were applied. The partition of the interaction into the principal components by the PCA analysis (Principal Components Analysis) revealed a part of systematic variations in the interaction. These variations are attributed to the length of the growing season in genotypes and to the precipitation sum during the growing season in environments. Results of grouping by the cluster analysis are in high accordance with grouping observed in the biplot of the AMMI1 model.