A phenomenological study on the production of Higgs bosons in the cSMCS model at the LHC

In the present work, we intend to predict the production rates of the Higgs bosons in the simplest extension of the Standard Model (SM) by a neutral complex singlet (cSMCS). This model has an additional source of CP violation and provides strong enough first-order electroweak phase transition to generate the baryon asymmetry of universe (BAU). The scalar spectrum of the cSMCS includes three neutral Higgs particles with the lightest one considered to be the 125 GeV Higgs boson found at LHC. The SM-like Higgs boson comes mostly from the SM-like SU(2) doublet, with a small correction from the singlet. To predict the production rates of the Higgs bosons, we use a conventional effective LO QCD framework and the unintegrated parton distribution functions (UPDF) of Kimber-Martin-Ryskin (KMR). We first compute the SM Higgs production cross-section and compare the results to the existing theoretical calculations from different frameworks as well as the experimental data from the CMS and ATLAS collaborations. It is shown that our framework is capable of producing sound predictions for these high-energy QCD events in the SM. Afterwards we present our predictions for the Higgs boson production in the cSMCS.Comment: Fitted by the published version, 1 figure and 2 benchmarks have been omitted, additional comparisons have been added and several misprints have been correcte

Ohmic processing of liquid whole egg, white egg and yolk

The Ohmic heating rate of a food is highly influenced by its electrical conductivity. In this study, electricalconductivities, colour changes and system performance of liquid whole egg, white egg and yolk were determined on alaboratory scale static Ohmic heater by applying 30 V/cm voltage gradient. The samples were heated from room temperaturethrough to pasteurization temperature (19 – 60℃). In all cases, the linear temperature dependent electrical conductivityrelations were obtained. Conductivity measurements of liquid egg indicated that white egg is highly conductive compared toyolk and whole egg. The system performance coefficients for liquid egg samples were in the range of 0.814 to 0.857. Ohmicheating revealed better colour values from the values of heated samples for convectional heating.Keywords: egg, Ohmic heating, electrical conductivity, colou

Epidemiological study on sand flies in an endemic focus of cutaneous leishmaniasis, Bushehr city, southwestern Iran

Cutaneous leishmaniasis is the most important health problem in the city of Bushehr, southwestern Iran. The objective of the study was to determine some ecological aspects of sand flies in the city during 2010-2011. Sand flies were collected monthly from outdoors and indoors by sticky traps at four selected districts of the city. They were also dissected and examined by nested-PCR for identification of the parasite during August-September of 2011. A total of 1234 adult sand flies were collected and 6 species including 3 of Genus Phlebotomus and 3 of Genus Sergentomyia were identified. Four species including P. papatasi (3.98%), P. sergenti (1.14%), S. tiberiadis (87.18%), and S. baghdadis (7.7%) were found indoors. Six species including P. papatasi (3.47%), P. sergenti (3.17%), P. alexandri (0.1%), S. tiberiadis (77.74%), S. baghdadis (15.41%), and one female of S. clydei (0.11%) were collected from outdoors. Sand flies started to appear from March and disappear at the end of January. There was only one peak in the density curve in July. The study revealed that S. tiberiadis and S. baghdadis could enter indoors which 89 and 81.8% of them were found blood-fed, respectively. Moreover, P. papatasi, S. tiberiadis, and S. baghdadis were active indoors and outdoors in most months of the year. Nested-PCR of P. papatasi females was positive against kinetoplast DNA of L. major and L. turanica and also mixed natural infections were found by L. gerbilli and L. turanica. Moreover, mixed infections by L. major and L. turanica were observed in this species. Sergentomyia clydei and S. tiberiadis were found to be negative to any DNA of Leishmania species. Phlebotomus sergenti females were found infected with DNA of L. turanica and this is the first report of natural infection and detection of the parasite from this sand fly species in worldwide

The prevalence of iron deficiency anemia during pregnancy in Iran (1991-2015): A systematic review and meta-analysis

Introduction: The prevalence of Iran Deficiency Anemia (IDA) in pregnant women is in Variable between 40-80 in developing countries. There are some differences among different studies on this disorder. So, this present study is been performed for evaluating the prevalence of IDA among pregnant Iranians with systematic review and Meta analysis method. Method: This study is based on received information achieved from Magiran, , Iran medex, SID, Med lib, IranDoc, Scopus, Pubmed, SceinceDirect, Cochrane, Embase, Medline, Springer, Online Library Wiley and Google Scholar in chronological order of 1 January 1991 to 31 march 2015 with using standard key words. Search and extraction of data were done by two independed reviewers. To pooled of results of studies random effects model in meta-analysis was used. Results: In the 32 eligible studies, the 63372 individuals were been evaluated. The prevalence of Anemia among pregnant Iranians was estimated 14.2 (95 CI: 12- 16.3). most prevalence of Anemia was seen in the study, which it is used the samples collected in several parts of country, (21.5) and the lowest prevalence was seen in the West of country(7). The prevalence of Anemia in urban and rural pregnant women was estimated 13.7 and 20 approximately, respectively. Conclusion: The prevalence of anemia among pregnant Iranians in current 24 years were less according to WHO system report for developing countries, that it is related to appropriate plan and care in pregnancy period in countries

Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning

Pathology diagnosis based on EEG signals and decoding brain activity holds immense importance in understanding neurological disorders. With the advancement of artificial intelligence methods and machine learning techniques, the potential for accurate data-driven diagnoses and effective treatments has grown significantly. However, applying machine learning algorithms to real-world datasets presents diverse challenges at multiple levels. The scarcity of labelled data, especially in low regime scenarios with limited availability of real patient cohorts due to high costs of recruitment, underscores the vital deployment of scaling and transfer learning techniques. In this study, we explore a real-world pathology classification task to highlight the effectiveness of data and model scaling and cross-dataset knowledge transfer. As such, we observe varying performance improvements through data scaling, indicating the need for careful evaluation and labelling. Additionally, we identify the challenges of possible negative transfer and emphasize the significance of some key components to overcome distribution shifts and potential spurious correlations and achieve positive transfer. We see improvement in the performance of the target model on the target (NMT) datasets by using the knowledge from the source dataset (TUAB) when a low amount of labelled data was available. Our findings indicate a small and generic model (e.g. ShallowNet) performs well on a single dataset, however, a larger model (e.g. TCN) performs better on transfer and learning from a larger and diverse dataset

Advances in the Diagnosis of GERD Using the Esophageal pH Monitoring, Gastro-Esophageal Impedance-pH Monitoring, And Pitfalls

PH monitoring is not capable of detecting all types of reflux, especially when the amount of acid is very low or not at all in the refluxate. Multichannel intraluminal impedance-pH monitoring (MII-pH) is used as a new method to assess bolus transport. The types of reflexes including acid, weak acid and weak alkaline MII-pH is capable of distinguishing more reflux episodes based upon use of physical and chemical parameters of the refluxate, leads to a diagnosis of normal acid reflux from abnormal nonacidic reflux. 24-h oesophagal pH monitoring can be effectively used to assess the potential relationship between symptoms and refluxes. MII-pH is capable of distinguishing more reflux episodes based upon use of physical and chemical parameters of the refluxate, leads to a diagnosis of normal acid reflux from abnormal nonacidic reflux. It can be used to confirm gastro-oesophagal reflux episodes, where has a sensitivity and specificity for diagnosing GERD in comparison with endoscopy or pH-metry

An efficient iterative method based on two-stage splitting methods to solve weakly nonlinear systems

[EN] In this paper, an iterative method for solving large, sparse systems of weakly nonlinear equations is presented. This method is based on Hermitian/skew-Hermitian splitting (HSS) scheme. Under suitable assumptions, we establish the convergence theorem for this method. In addition, it is shown that any faster and less time-consuming two-stage splitting method that satisfies the convergence theorem can be replaced instead of the HSS inner iterations. Numerical results, such as CPU time, show the robustness of our new method. This method is easy, fast and convenient with an accurate solution.The third and fourth authors have been partially supported by the Spanish Ministerio de Ciencia, Innovacion y Universidades PGC2018-095896-B-C22 and Generalitat Valenciana PROMETEO/2016/089.Amiri, A.; Darvishi, MT.; Cordero Barbero, A.; Torregrosa Sánchez, JR. (2019). An efficient iterative method based on two-stage splitting methods to solve weakly nonlinear systems. Mathematics. 7(9):1-17. https://doi.org/10.3390/math7090815S1177

Analysis of Psychosocial Consequences of Covid-19 Disease and Vaccination in the Elderly: A Qualitative Study

Introduction: The elderly are one of the sensitive groups at risk of developing Covid-19 disease. We aimed to investigate the psychosocial consequences of Covid-19 disease and vaccination in the elderly. Methods: The phenomenological method was used in the current study. The study population included all the elderly receiving the Covid-19 vaccine in Sari city, Iran. 13 individuals were selected through purposeful sampling method who were interviewed afterwards. The Colaizzi Phenomenological method was used to analyze the data. Results: Data analysis led to the identification of 5 main themes, 11 sub-themes, and 56 primary open themes. The first major theme was "psychological status." Psychological status included a set of reactions that included the following sub-themes: 1-Positive psychological status, 2-Negative psychological status. The second main theme was "recreational and communication status". Recreational and communication status was a set of behaviors that included the following sub-themes: 1-Health-based personal entertainment and communication, 2-Destructive entertainment and communication. The third main theme was physical and health status with these central themes: 1-Psychological and behavioral consequences of receiving the vaccine, 2-Physical complications of receiving the vaccine, and 3-Change in physical examinations. The economic status as the fourth main theme included: 1-High cost of Covid-19, 2-Career problems. Finally, the last major theme was lifestyle with the following central codes: 1-Pre-corona family plans and, 2-Post-corona family plans. Conclusions: The results showed that it is important to pay attention to the experience of the elderly in the coronavirus crisis and that the devastating consequences of Covid-19 can be avoided