Effect of municipal wastewater with manure and fertilizer on yield and quality characteristics of forage in corn

In order to study the effects of wastewater with two kinds of fertilizers (manure and chemical fertilizer) on yield and quality characteristics of forage in corn, a field experiment was conducted in the Universityof Zabol in Iran during 2007 growing season. The experiment was conducted in split plot design with three replications. The treatment were comprised of two levels of irrigation water (W1 = Well water andW2 = Wastewater) in the main plot and five levels of fertilizer (F1 = Control; F2 = Manure, 30 ton/ha; F3 = Manure, 15 ton/ha; F4 = NPK: 350, 200 and 100 kg/ha; and F5 = NPK: 175, 100 and 50 kg/ha) in the subplot. Results showed that irrigation with wastewater significantly increases the fresh and dry forage yield of corn than well water. Treatment of treated wastewater also had a significant influence on crude protein content, ash percentage and macro elements (N, P and K) contents in corn forage (P < 5%). But wastewater had no significant effect on Fe, Mn and Zn elements content. The highest fresh and dry forage yield and the most crude protein content, ash percentage and macro elements (N, P and K) contents were obtained from F4 (NPK: 350, 200 and 100 kg/ha) treatment. However, the highest Fe, Mn and Zn elements content were obtained from F2 (Manure: 30 ton/ha) treatment

A Comparison of Dysphonia Severity Index in Female Teachers With and Without Voice Complaints in Elementary Schools of Tehran, Iran

Background: Teachers are the greatest group of professional voice users. Prolonged, continuous speaking in a loud voice at school may entail a bad vocal health. It seems that their occupational circumstances make them more likely to develop voice disorders in comparison with other groups. Objectives: The purposes of this study are 1) to compare teachers with and without voice complaint on the Dysphonia Severity Index and 2) to compare component measures that establish Dysphonia Severity Index. Materials and Methods: This study included 40 female teachers with voice complaint and 40 female teachers without voice complaint between the ages of 30 and 50 years who were teaching in elementary schools of Tehran city. Simple non-random sampling was done for selected teachers in two groups. The examinees were asked to produce the vowel /a/ three times for calculating any variables, then measures of maximum phonation time, jitter, highest phonational frequency, and lowest intensity were obtained for each subject with Praat and Phonetogram softwares and incorporated into multivariate Dysphonia Severity Index formula. Kolmogoro- Smirnov one sample test and independent sample T-Test was used, the significance level was set at P < 0.05. Results: Results indicate that female teachers without voice complaint have significantly higher Dysphonia Severity Index scores than female teachers with voice complaint (mean Dysphonia Severity Index: 3.58 vs. 1.05, respectively), also significant differences are observed between groups of with and without complaint for four of components of the DSI (F0 high, I low, jitter and maximum phonation time) (P value = 0.001). Conclusions: The findings of this study indicate that there is a significant difference in Vocal Quality between teachers with and without voice complaint. This finding may indicate teachers with voice complaint have worse vocal quality that means they are at risk for voice problems. This information may be very important for voice professionals and, speech and language pathology to advice teachers with voice complaint and manage to advocate "good vocal health”

Phase-field modeling of fracture in linear thin shells

We present a phase-field model for fracture in Kirchoff-Love thin shells using the local maximum-entropy (LME) meshfree method. Since the crack is a natural outcome of the analysis it does not require an explicit representation and tracking, which is advantage over techniques as the extended finite element method that requires tracking of the crack paths. The geometric description of the shell is based on statistical learning techniques that allow dealing with general point set surfaces avoiding a global parametrization, which can be applied to tackle surfaces of complex geometry and topology. We show the flexibility and robustness of the present methodology for two examples: plate in tension and a set of open connected pipes

The Effect of Experience on Recognition of Mother’s Voice in Preterm Infants

Background: According to existing theories, supportive cares provided through specific kinds of stimuli affect the growth, development and neurobehavioral functioning of preterm infants. Some of the studies indicate that the fetal heart rate response to mother’s voice begins in the week 32 of pregnancy. However, the fact that whether preterm infant is able to recognize mother’s live voice from the voice of a stranger woman is unknown. Objectives: The present study aimed to compare the effects of mother’s voice and a stranger’s voice on the heart rate of preterm infants hospitalized in a neonatal intensive care unit (NICU). Methods: In a clinical trial study, 66 preterm infants hospitalized in the NICU were randomly assigned into three groups of 22 (i.e. mother’s voice and stranger’s voice groups and a silent group). The infants’ heart rates were recorded by a monitoring system in all of the three groups each five minutes for 30 minutes overall (10 minutes before, during and after the intervention) in three consecutive days. Both one-way and repeated measures analysis of variance were used to analyze the data in terms of significant differences. Also, the chi-square test and analysis of variance were used to compare the demographic variables of the groups. Results: The heart rate of the infants in the mother’s voice group, stranger’s voice group and the silent group were 133.99 � 2.72, 134.26 � 2.43 and 137.94 � 2.92 per minutes, respectively (P > 0.588) and changed to 143.42 � 2.85, 133.22 � 2.15 and 138.28 � 2.21, respectively (P = 0.016). Moreover, the infants’ heart rates were respectively 136.87�3.38, 132.68�2.22 and 138.19�2.65 per minutes, 10 minutes after the intervention (P > 0.345). Conclusions: No significant difference was found between the mean heart rates of the three groups neither before, nor 10 minutes after the intervention. However, a significant difference was observed among the three groups during the intervention. Therefore, we can conclude that the preterm infants can recall and differentiate their mothers’ voice from the voice of a stranger. Then, an opportunity can be provided during the developmental care for the infants to hear their mothers’ voice

Improved Artificial Neural Network with High Precision for Predicting Burnout among Managers and Employees of Start-Ups during COVID-19 Pandemic

Notwithstanding the impact that the Coronavirus pandemic has had on the physical and psychological wellness of people, it has also caused a change in the psychological conditions of many employees, particularly among organizations and privately owned businesses, which confronted numerous limitations because of the unique states of the pandemic. Accordingly, the current review expected to implement an RBF neural network to dissect the connection between demographic variables, resilience, Coronavirus, and burnout in start-ups. The examination technique was quantitative. The statistical populace of the review is directors and representatives of start-ups. In view of the statistical sample size of the limitless community, 384 of them were investigated. For information gathering, standard polls incorporating MBI-GS and BRCS and specialist-made surveys of pressure brought about by Coronavirus were utilized. The validity of the polls was affirmed by a board of specialists and their reliability was affirmed by Cronbach’s alpha coefficient. The designed network structure had ten neurons in the input layer, forty neurons in the hidden layer, and one neuron in the output layer. The amount of training and test data were 70% and 30%, respectively. The output of the neural network and the collected results were compared with each other, and the designed network was able to classify all the data correctly. Using the method presented in this research can greatly help the sustainability of companies

Theoretical Analysis of the Regioselective Electrophilic Chloration and Chemioselective Esterification of the pyrazolo[1,5-a]pyridine-2,3-dicarboxylic acid

The reaction between the pyrazolo[1,5-a]pyridine-2,3-dicarboxylic acid 1 and SOCl2 has been studied within the Density Functional Theory (DFT) B3LYP/6-31G(d,p) computational level. Examination of the conceptual DFT reactivity indices permit the elucidation of the reactivity, and the regio- and chemoselectivity experimentally observed. The possible regioselective channels and chemoselective channels were explored and characterized. Analysis of the energies associated with the different reaction pathways shows that this reaction is completely chemioselective and regioselective, in conformity with the experimental results

Antitumor effects of a recombinant baculovirus displaying anti-HER2 scFv expressing Apoptin in HER2 positive SK-BR-3 breast cancer cells

Aim: Since HER2 targeted therapies have shown clinical benefit in breast cancer, in the present study recombinant baculovirus (BV) displaying anti-HER2 single-chain variable domain fragment (scFv) expressing Apoptin was generated. Methods: The binding specificity and surface display of anti-HER2 scFv were evaluated using enzyme-linked immunosorbent andassay (ELISA) and electron microscopy, respectively. The targeting properties and cytotoxic effect on breast cancer cells determined by fluorescence microscopy and MTT assays. Results: The results demonstrated that recombinant BV could specifically bind to HER2-overexpressing SK-BR-3 cells but not to the HER2 negative MCF-7 cells and reduced the viability of SK-BR-3 cells by expressing Apoptin. Conclusion: These results suggest that the antitumor effect of Apoptin in combination with HER2 targeting of this recombinant BV makes it a promising vector in targeted cancer therap

The stock assessment of bony fish, carp (Cyprinus carpio) and roach (Rutilus rutilus) in southern coast of the Caspian Sea

In this study, the combination of length, growth rate, mortality rate and also the current of status Operation Carp and roach commercially as important species in southern waters were reviewed. Samples were taken from beach sine net catch and fish were offered at fish market. The age composition of carp and roach was 1 to 16 and 1 to 4 years respectively, most catch carp and roach was in length range of 31 to 39 cm and 18 to 20 cm respectively. Growth parameters during the program by ELFFAN I FiSAT for Carp and Roach obtained from von Bertalanffy growth function were L_∞ =70.78 and 32.39 cm, K = 1.24/year and 1.24/year; respectively. the growth parameters such as infinite length( L_∞), growth coefficient (K) and t0 age zero base on One Brtalnfy equation estimated, 78.70, 0.14, 32.39, 0.5 ,-0.5 Total mortality coefficient Using the method of catch curve (Z), natural mortality rate using the empirical formula Pauli( M), fishing mortality (F) using the formula = Z - M and Growth performance index (Ǿ) for Carp and Roach were obtained 1.5year^-1, 0.9year^-1, 0.5year^-1, 0.26year^-1, 1.24, 0.4, 2.85 and 2.54 respectively. The biomass (B) and Maximum Sustainable Yield (MSY) with the present effort for Carp and Roach were estimated 1628.7t, 368.9t and88.06t, and 32.7t respectively