Generation time determines the pace of key demographic and evolutionary processes. Quantified as the weighted mean age at reproduction, it can be studied as a trait that varies within and among populations and may evolve in response to ecological conditions. We combined quantitative genetic analyses with age- and density-dependent models to study generation time variation in a bird metapopulation. Generation time was heritable, and males had longer generation times compared with females. Individuals with longer generation times had a higher lifetime reproductive success but not a higher expected population growth rate. Density regulation acted on recruit production, suggesting that longer generation times should be favored when populations are closer to carrying capacity. Furthermore, generation times were shorter when populations were growing, and longer when populations were closer to equilibrium or declining. These results support classic theory predicting that density regulation is an important driver of the pace of life-history strategies.

Careless responding is one of the most fundamental challenges of survey research. We need our respondents to respond honestly and with effort, but when they don’t, we need to be able to detect and remove them from our datasets. A few years ago, Meade and Craig (2012) published an article in Psychological Methods exploring a significant number of techniques for doing exactly this, ultimately recommending a combination of three detection techniques for rigorous data cleaning, which, let’s face it, is a necessary step when analyzing any internet survey.  These techniques are even-odd consistency, maximum longstring, and Mahalanobis D:The even-odd consistency index involves calculating the subscale means for each measure on your survey, split by even and odd items.  For example, the mean of items 1, 3, 5, and 7 would become one subscale whereas the mean of items 2, 4, 6, and 8 would become the other.  Next, you take all of the even subscales and pair them with all of the odd subscales across all of the measures in your survey, calculate a correlation, and then apply the Spearman-Brown prophecy formula to adjust the value up to a scale of -1 to 1.Maximum LongString is the largest value for LongString across all scales on your survey, where LongString is the number of identical response in a row.  Meade and Craig recommended LongString would be most useful when the items were randomly ordered.Mahalnobis D is calculated from the regression of scale means onto all the scores that inform them. In a sense, you are trying to see if responses to individual items correspond with the scale mean they created consistently across individuals. Some conceptualizations of this index regress participant number onto scores, which conceptually accomplishes basically the same thing.In all three cases, the next step is to create a histogram of the values and see if you see any outliers.Calculating Careless Responding IndicesOf these three, Mahalanobis D is the most easily calculated, because saving Mahalanobis D values is a core feature in regression toolkits. It is done easily in SPSS, SAS, R, etc.The second, the even-odd consistency index, is a bit harder but still fundamentally not too tricky; you just need to really understand how your statistical software works.  Each step, individually, is simple: calculate scale means, calculate a correlation, apply a formula.The third, Max LongString, is the most intuitively understandable but also, often unexpectedly, the most difficult to calculate.  I imagine that the non-technically-inclined generally count by hand – “this person has a maximum of 5 identical answers in a row, the next person has 3…”An SPSS macro already exists to do this, although it’s not terribly intuitive.  You need to manually change pieces of the code in order to customize the function to your own data.Given that, I decided to port the SPSS macro into Excel and make it a little easier to use.An Excel Macro to Calculate LongStringFunction LongString(cells As Range)     Dim cell As Range     Dim run As Integer    Dim firstrow As Boolean     Dim maxrun As Integer     Dim lastvalue As String     firstrow = True     run = 1    maxrun = 1    For Each cell In cells         If firstrow = True Then             firstrow = False             lastvalue = cell.Value        Else             If cell.Value = lastvalue Then                 run = run + 1                 maxrun = Application.Max(run, maxrun)             Else                 run = 1             End If             lastvalue = cell.Value         End If     Next cell     LongString = maxrun End Function To Use This Code YourselfWith Excel open, press Alt+F11 to open the VBA Editor.Copy/paste the code block above into the VBA Editor.Close the VBA Editor (return to Excel).In an empty cell, simply type =LONGSTRING() and put the cell range of your scale’s survey items inside.  For example, if your first scale was between B2 and G2, you’d use =LONGSTRING(B2:G2)Repeat this for each scale you’ve used.  For example, if you measured five personality dimensions, you’d have five longstrings calculated.Finally, in a new cell use the =MAX() function to determine the largest of that set.  For example, if you put your five LongStrings in H2 to L2, you’d use =MAX(H2:L2)That’s it! Importantly, the cells needs to be in Excel in the order they were administered.  If you used randomly ordered items, this adds an additional layer of complexity, because you’ll need to recreate the original order for each participant first before you can apply LongString. That takes a bit of Excel magic, but if you need to do this, I recommend you read up on =INDIRECT() and =OFFSET(), which will help you get that original order back, assuming you saved that item order somewhere.Final StepsOnce you have Max LongString calculated for each participant, create a histogram of those values to see if any strange outliers appear. If you see clear outliers (i.e., a cluster of very high Max LongString values off by itself, away from the main distribution), congratulations, because it’s obvious which cases you should drop.   If you don’t see clear outliers, then it’s probably safer to ignore LongString for this analysis.Another potential issue with Max LongString is that if you have scales with varying numbers of items, shorter scales can be lost when you calculate the Max. To avoid that problem, try converting each of your longstrings into a proportion. For example, for a 4-item scale, try =LONGSTRING(H4:H7)/4 and then calculate MAX() on those results.ReferencesMeade AW, & Craig SB (2012). Identifying careless responses in survey data. Psychological Methods, 17 (3), 437-55.

Background: Diagnostic tests for allergy rely on detecting allergen-specific IgE. Component-resolved diagnostics incorporate multiple defined allergen components to improve the quality of diagnosis and patient care. Objective: To develop a new approach for determining sensitization to specific allergen components that utilizes fluorescent protein tetramers for direct staining of IgE on blood basophils by flow cytometry. Methods: Recombinant forms of Lol_p_1 and Lol_p_5 proteins from ryegrass pollen (RGP) and Api_m_1 from honeybee venom (BV) were produced, biotinylated and tetramerized with streptavidin-fluorophore conjugates. Blood samples from 50 RGP-allergic, 41 BV-allergic and 26 controls were incubated with fluorescent protein tetramers for flow cytometric evaluation of basophil allergen binding and activation. Results: Allergen tetramers bound to and activated basophils from relevant allergic patients but not controls. Direct fluorescence staining of Api_m_1 and Lol_p_1 tetramers had greater positive predictive values than basophil activation for BV and RGP allergy, respectively, as defined with receiver operator characteristics (ROC) curves. Staining intensities of allergen tetramers correlated with allergen-specific IgE levels in serum. Inclusion of multiple allergens coupled with distinct fluorochromes in a single tube assay enabled rapid detection of sensitization to both Lol_p_1 and Lol_p_5 in RGP-allergic patients and discriminated between controls, BV-allergic and RGP-allergic patients. Conclusion: Our novel flow cytometric assay, termed CytoBas, enables rapid and reliable detection of clinically relevant allergic sensitization. The intensity of fluorescent allergen tetramer staining of basophils has a high positive predictive value for disease and the assay can be multiplexed for a component-resolved and differential diagnostic test for allergy.

Background: Atrial myxomas are rare benign tumors; causing obstructive or embolic complications, and even death, depending on their site and size. Therefore, once diagnosed, it should be surgically resected emergency. Atrial myxomas are present about 75% in left atrium (LA) and about 15% in right atrium (RA). Early diagnosis is a challenge because of nonspecific manifestations, and sometimes is asymptomatic and discovered accidentally during TTE. Objective: Minimally invasive cardiac surgery (MICS) has benefits include cosmetically, less pain, shorter intensive care unit (ICU) and hospital stay. Methods: From Jan. 2011 to Sept. 2020, (20) patients (10 Sternotomy, 10 MI) underwent surgery for isolated resection of atrial myxoma. We reported outcomes; cardiopulmonary bypass time (CPB), cross-clamp time, conversion to median ST, length of stay, complications (stroke, renal failure, respiratory failure, reoperation, and infection),pain, patients satisfaction, recurrence and survival. Mean follow-up time was 6 month. Results: There is no significant difference in CPB or cross-clamp time between groups. No MI cases required conversion to a median ST. Length of stay is shorter in the MI group by 2.2 days (p = 0.045). There is no difference in morbidity or mortality between groups. Conclusions: A minimally invasive approach for atrial myxoma resection is safe, feasible, and favored over sternotomy.

Background Specific IgE against a peanut 2S albumin (Ara h2 or 6) is the best predictor of clinically relevant peanut sensitization. However, sIgE levels of peanut allergic and those of peanut sensitized but tolerant patients partly overlap, highlighting the need for improved diagnostics to prevent incorrect diagnosis and consequently unnecessary food restrictions. Thus, we sought to explore differences in V(D)J gene transcripts coding for peanut 2S albumin-specific monoclonal antibodies (mAbs) from allergic and sensitized but tolerant donors Methods 2S albumin-binding B-cells were single-cell sorted from peripheral blood of peanut allergic (n=6) and tolerant (n=6) donors sensitized to Ara h2 and/or 6 (≥ 0.1 kU/l) and non-atopic controls (n=5). Corresponding heavy and light chain gene transcripts were heterologously expressed as mAbs and tested for specificity to native Ara h2 and 6. HCDR3 sequence motifs were identified by Levenshtein distances and hierarchically clustering. Results The frequency of 2S albumin-binding B-cells was increased in allergic (median: 0.01%) compared to tolerant (median: 0.006%) and non-atopic donors (median: 0.0015%, p=0.008). The majority of mAbs (74%, 29/39) bound specifically to Ara h2 and/or 6. Non-specific mAbs (9/10) were mainly derived from non-atopic controls. In allergic donors, 89% of heavy chain gene transcripts consisted of VH3-family genes, compared with only 54% in sensitized but tolerant and 63% of non-atopic donors. Additionally, certain HCDR3 sequence motifs were associated with allergy or tolerance upon hierarchical clustering of their Levenshtein distances. Conclusions HCDR3 sequence motifs associated with allergy or tolerance may support correct diagnosis of patients with suspected peanut allergy.

Purpose and Introduction: Social media users are gradually increasing and spending their time to gather much useful information for themselves. Here, we analyzed the quality of Holmium Laser Enucleation of Prostate (Holep) surgery videos on YouTube. Methods: The most viewed 98 videos were included in this study by the search for ‘Holep’ keyword on YouTube. The Journal of American Medical Association Benchmark Score (JAMAS) and Global Quality Score (GQS) were used to analyze the videos after performing validated Holep Scoring System Score (HSSS) by three surgeons to evaluate the technical quality of videos. Results: The videos included surgical technique (76.5%) and uploaded by urologists (63.3%) constituted the majority of videos. The median of JAMAS, GQS, and HSSS were 1 (0-3), 2 (0-4), and 1.5 (0-11), respectively. The mean GQS and JAMAS of videos uploaded by academic centers was higher than those uploaded by commercials and urologists (p=0,01; p=0.01, respectively). The mean HSSS was lower in the videos uploaded in the last five years while JAMAS was higher (p=0.03; 0.005, respectively). The mean GQS and HSSS of videos with higher likes were found statistically significantly higher (p=0.01; p=0.02, respectively). Conclusion: Holep videos on YouTube are not enough worth to get proper information about the surgery. Videos uploaded by academic centers and in recent years provide relatively more valid information for patients and urologists. To increase the worth of information, online materials need to be checked for patients to access accurate, reliable, and appropriate healthcare information.

A pandemic of 2019 novel coronavirus diseases (COVID-19) outbreak is a major public health emergency that has spread in the fastest speed, and caused the most extensive infection world widely. Transbronchial biopsy (TBB) and computed tomography guided percutaneous needle biopsy (CTPNB) is the most common and significant method for the diagnosis of lung cancer. During the COVID-19 pandemic, the indications of TBB and CTPNB must be managed strictly. Therefore, it is extremely indispensable to perform meticulous and individualized management for lung cancer patients to protect the patients from COVID-19.

Predator-prey interactions are one of the central themes in ecology due to their importance as a key mechanism in structuring biotic communities. In the predator-prey systems, the no-trophic interactions, such as persecution and avoidance, have more impact on ecosystems than the trophic ones. We analyze the spatiotemporal relations between prey and predators of a community of medium and large-size mammals in a tropical region. We analyzed time data series of camera-trap data. The observed data of time lags among occurrences of pairs of species were compared with random data using the Bootstrap method. We generate a network of co-occurrences to describe the significant spatiotemporal patterns between predators and prey and used the kernel density estimator to analyze the overlap of daily activity patterns themy. We found 26 predator-prey interactions (p<0.05), which involved 14 species. The results suggest that prey perceives the risk of predation and display avoidance behavior both spatially and temporally which is consistent with fear theory. Predators may be deploying opportunistic and / or intermittent foraging strategies to reduce prey mobility caused by previous predation encounters. This study provides a new approach to understand the interactions between predators and prey through camera-trapping or similar data of spatiotemporal co-occurrences.

Background: Co-infections of SARS-CoV-2 with respiratory viruses, bacteria and fungi have been reported to cause a wide range of illness. Objectives: We assess the prevalence of co-infection of SARS-CoV-2 with seasonal respiratory viruses, document the respiratory viruses detected among individuals tested for SARS-CoV-2, and describe characteristics of individuals with respiratory virus co-infection detected. Methods: Specimens included in this study were submitted as part of routine clinical testing to Public Health Ontario Laboratory from individuals requiring testing for SARS-CoV-2 and/or seasonal respiratory viruses. Results: Co-infection was detected in a smaller proportion (2.5%) of individuals with laboratory confirmed SARS-CoV-2 than those with seasonal respiratory viruses (4.3%); this difference was not significant. Individuals with any respiratory virus co-infection were more likely to be younger than 65 years of age and male than those with single respiratory virus infection. Those with SARS-CoV-2 co-infection manifested mostly mild respiratory symptoms. Conclusions: Findings of this study may not support routine testing for seasonal respiratory viruses among all individuals tested for SARS-CoV-2, as they were rare during the study period nor associated with severe disease. However, testing for seasonal respiratory viruses should be performed in severely ill individuals, in which detection of other respiratory viruses may assist with patient management.

Background: Although chronic kidney disease (CKD) is considered the major cause of morbidity and mortality in hypertension, the recognition and prevention of CKD remain deficient. Chronic Kidney Disease (CKD) is one of the major health challenges in Egypt. Chronic kidney disease (CKD) affects approximately 13% of the adult population, resulting in significant morbidity, mortality and health care costs. Patients with more progressive stage 3 or stage 4 CKD experience a high rate of cardiovascular events and death compared to earlier stages of CKD. Aim: This study was performed to determine the prevalence of chronic kidney disease among hypertensive non-diabetics patients attending Primary health care (PHC) Centers in Cairo. Methodology: The study type is a cross sectional study, Study setting: Two Primary Health Care centers (PHCs):Saraya El-kobba and El-Sharabya. Sampling method: Recruitment of participants was done in one day weekly. Any known essential hypertensive patients aged 18 or more registered in the two PHC Centers in Cairo. Results: The prevalence of CKD was 33% among the hypertensive non-diabetic patients. Among CKD participants, the prevalence is more common in females (59.7%) than males (40.3%),in those who completed primary education and the illiterates and low socioeconomic class. Surprisingly, it is more common in patients with positive family history of CKD and patients with ischemic heart disease and the antihypertensive drugs used. Conclusion: CKD has a high prevalence among hypertensive non-diabetic patients, and it has a significant morbidity and mortality among those patients.

The Geodiversity involves substrate characteristics such as degree of fractured rock, fracture depth, soil depth, parental rock, soil texture, etc., that affect the hidrology of substrates and subsequently the availability of water for plants. Here we examined the importance of the geological substrate, as a factor that triggers the incidence of forest decline. We demonstrated that characteristics of the geological substrate related to the limitation of water availability enhances Tillandsia recurvata (Tire) infestation and eventually causes loss of vigor in oak trees. Using electrical resistivity tomography (geophysical methods) and stable isotope techniques (δ18O / δ16O), we showed that substrates dominated by regolith and rocks imposed greater conditions of drought to an oak forest stand than a substrate with a more granulated material. Trees in this forest stand presented greater densities of Tire, a plant considered as epiphyte. However, under the observed conditions of high infestation, Tire apparently exhibited a change from epiphytic to parasitic plant as it acquired water from oak. This study identified that the structural composition of the substrate (i.e. geodiversity) is a factor accelerating the processes of decay and likely forest mortality related to the effects of drought and the infestation by pests and diseases.

Objective: The main objective of this prospective and observational study is to investigate the effect of preoperative hospitalization period on early postoperative cognitive dysfunction (POCD) development in patients undergoing total hip replacement surgery under regional anesthesia. Materials and Methods: Between November 2013 to September 2014, 64 patients were enrolled the study. Test scores were obtained on the initial admission day (MMT1), 24 hours prior to surgery (MMT2) and 24 hours after the surgery (MMT3). Patients were divided into two groups according to MMT scores as “no cognitive dysfunction” (Group 1) and “cognitive dysfunction” (Group 2). Differences between groups were evaluated statistically. Statistical significance level was set as p<0.05 in a 95% confidential interval. Results: POCD incidence rate was calculated as 43.8% in all patients. Preoperative hospitalization duration was significantly higher in patients with POCD when compared to patients without POCD (p<0,001). The factors which affect POCD development were found to be advanced age (p<0,001), high ASA scores (p=0,004), presence of comorbid disease (p=0,025), duration of operation (p=0,018) and decreased postoperative hematocrit levels (p=0,014). Conclusion: In this study, we observed patients with early POCD had a relatively longer pre-operative hospitalization period when compared to patients without POCD. We consider that the prolonged preoperative hospitalization periods may contribute to increased POCD incidence rates in patients with risk factors.

    Bu içeriğimizde Kevin Houston tarafından yazılmış ve Türkçeye Mehmet Terziler ile Tahsin Öner tarafından çevrilmiş olan Matematikçi Gibi Düşünmek adlı kitabın "Matematikçiler İçin Çalışma Becerileri" kısmının özeti yer alıyor. Lisans matematiği için bir kılavuz olarak belirtilen bu kitaptaki her başlığın temel kısımlarını kendi görsellerimizle derledik. UYARI  Bu özete dair tanım, teorem ve açıklamaların detayları halihazırda kitapta bulunmaktadır. Bu nedenle konuları daha detaylı öğrenmek, örneklerle pekiştirmek ve konularla ilgili alıştırma yapmak için lütfen kitaba başvurunuz.

Endophytes are microbes found within tissues of plants in various types of terrestrial and aquatic ecosystems, including those habitats with ionizing radiation. Our study investigates the differences in composition of bacterial and fungal endophytes associated with the halophytic plant Kalidium schrenkianum and the effects of geochemical factors and radiation (at low, medium, high level and control) on the community structure of endophytic bacteria and fungi. The bacterial class Actinobacteria and the fungal class Dothideomycetes predominated the endophytic communities of K. schrenkianum. Aboveground parts had higher fungal diversity while belowground parts had higher bacterial diversity. Soil pH, total nitrogen, and organic matter showed significant effects on the diversity of root endophytes. Radiation had no significant effect on the abundance of different bacterial classes. Sordariomycetes predominated the root fungal microbiota under high radiation intensity. Differences in the endophytic communities between aboveground and belowground parts were more than that between the radiation levels. No significant differences were found in the aboveground bacterial communities among the radiation levels. Radiation showed a significant effect on the fungal co-occurrence networks. Negative correlations were found between endophytic bacteria and fungi in the plant. The genetic diversity of both endophytic bacteria and fungi was higher in radioactive environments. Our findings suggest that the endophytes associated with aboveground and belowground parts of K. schrenkianum follow different mechanisms for community assembly and different paradigms in stress response.

River stream estimation is a subject matter that needs constant research and development since it is all-important in the management of water resources, meeting the water demand, irrigation and agricultural activities, and providing distant signal in unwanted situations such as floods. Unfortunately, a universal technique has not been found yet although many techniques have been used for estimation and modelling. This has made it necessary to develop different techniques and/ or to make comparisons between techniques and to determine the most accurate method for the parameters used. In this study, using the 1981-2010 flow data of 14 stations located across Euphrates-Tigris basin, evaluations have been made through Adaptive-Network Based Fuzzy Inference Systems (ANFIS), Support Vector Regression (SVR-SVMR) techniques, and the newly used Gauss Process Regression (GPR), Extreme Learning Machine (ELM) and Emotional Neural Network (ENN) artificial intelligence techniques, and through rank analysis, it is aimed to find out which technique gives better results and to overcome some problems in traditional methods. Although all models work well, the sequence with regards to the comparison outcomes of the techniques obtained from rank analysis was observed to be ELM, GPR, ENN, SVM, ANFIS respectively. In addition, stream values were used in the whole study, these values were examined within 3 different combinations and it was observed that the best result was found in the combination of [input]Q(t-3),Q(t-2),Q(t-1)/[output]Q(t). Keywords: River Flow Modelling; ANFIS; SVM; GPR; ELM; ENN

The hydatid disease of heart, caused by Echinococcus granulosus has an incidence of 0.5%-2% , in the sheep grazing areas of the developing and under-developed countries. The cyst of interventricular septum has a 5%-9% incidence with complications of conduction block and arrythmias. Transesophageal echocardiography(TEE) is useful for intraoperative cyst localization and excision. Our image review highlights the TEE findings of our young patient with multiple hydatid cysts of interventricular septum , with the septal tricuspid leaflet adherent to the cyst membrane.

Association of Fraser’s syndrome and Congenital high airway obstruction syndrome (CHAOS) : case report Kamal El Moussaoui&1 , Amina Lakhdar1, Aziz baidada11 Department of Gynecology and Obstetrics, Maternity Souissi, University Hospital Center Ibn Sina, University Mohammed V, Rabat, Morocco& Corresponding author :DR. Kamal El MoussaouiDepartment of Gynecology and Obstetrics, Maternity Souissi, University Hospital Center Ibn Sina, University Mohammed V, Rabat, MoroccoPostal Adresse : immeuble 20 , n1, mahaj ryad , hay ryad , rabat –MoroccoE-mail address :dr.elmoussaouikamal.gyn.obst@gmail.com

Introduction :Delivery haemorrhage remains the leading cause of maternal mortality in Morocco [1] . It is an obstetric emergency that requires rapid, effective and multidisciplinary care In cases of severe post-partum haemorrhage that is resistant to medical treatment, progress in interventional radiology and especially surgical techniques have provided safe and effective alternatives to haemostasis hysterectomy. Over the last ten years, uterine compression techniques have been described and integrated into the therapeutic arsenal against post-partum haemorrhages. However, their evaluation in the literature is still weak.We report a rare case of uterine necrosis following a combination of uterine compression sutures and vascular ligation.

Mungbean (Vigna radiata [L.]) is an important economic crop grown in South, and East Asia. The low contiguity of the current assembly of V. radiata genome has limited its application. Here, we report a high-quality chromosome-scale assembled genome of V. radiata to facilitate the investigation of its genome characteristics and evolution. By combination of Nanopore long reads, Illumina short reads and Hi-C data, we generated a high-quality genome assembly of V. radiata, with 473.67 megabases assembled into 11 chromosomes with contig N50 and scaffold N50 of 11.3 and 42.4 megabases, respectively. A total of 52.8% of the genome was annotated as repetitive sequences, among which LTRs (long terminal repeats) were predominant (33.9%). The genome of V. radiata was predicted to contain 33,924 genes, 32,470 (95.7%) of which could be functionally annotated. Evolutionary analysis revealed an estimated divergence time of V. radiata from its close relative V. angularis of ~11.66 million years ago. In addition, 277 V. radiata specific gene families, 18 positively selected genes were detected and functionally annotated. This high-quality mungbean genome will provide valuable resources for further genetic analysis and crop improvement of mungbean and other legume species.

Phospholipase C (PLC) is a key enzyme in the cell membrane. PLC hydrolyses phosphatidylinositol 4, 5-bisphosphate (PIP2) to generateinositol 1,4, 5-triphosphate (IP3) and diacylglycerol (DAG) that regulates a variety of cellular processes. Evidence indicates the pivotal role of PLC and inositol 1,4,5-trisphosphate receptor(IP3R) in influencing Ca2+ release from the endoplasmic reticulum(ER).At the same time, the imbalance of Ca2+ will stimulate endoplasmic reticulum stress(ERS), leading to cell apoptosis. Viral infection could triggers host defense through apoptosis of the infected cells.However, it is not clear how porcine circovirus type 2 (PCV2) induces apoptosis by affecting Ca2+ homeostasis. We show here that PCV2 infection induces the increased cytoplasmic Ca2+ level and apoptosis.We also found that the ER swelling of PK-15 cells after viral infection by transmission electron microscopy. Furthemore, the activation of PLC-IP3R-Ca2+ signaling enhanced apoptosis in infected PK-15 cells. Taken together,our findings suggest that PCV2 infection trigger ERS of PK-15 cells via the PLC-IP3R-Ca2+ signaling pathway to promoted the release of intracellular Ca2+, and led to cell apoptosis.

Eosinophilia can be diagnosed in a wide spectrum of benign and malignant diseases, having a persistent eosinophilic count of more than 1500/mm3 obliges further workup. FIP1L1-PDGFRA-Positive Chronic Eosinophilic Leukemia patients can be asymptomatic at presentation or in critical status with multi-organ involvement.

Necrotizing sialometaplasia is a salivary gland disease which is clinically as well as histologically quite confusing with a malignant squamous cell carcinoma. Presenting here a case of a male with Necrotizing sialometaplasia who was anxious because of cancerphobia as he was a smoker.

Here we describe a 13- year old patient with the presentation of fever and abdominal pain. He had a history of 2 years headache and seizure. In MRI, a primary cerebral hydatid cyst was evident. The diagnosis of hydatid cyst should beconsidered in children with mentioned characters in endemic regions.

By doping two potassium atoms among three C20F20 cages, peanut-shaped single molecular solvated dielectron (C20F20)3&K2 was theoretically presented. The triplet structures with two excess electrons individually inside left and middle cages (isomers I or II) are thermodynamically more stable than both open-shell (OS) and close-shell (CS) singlet ones with lone pair of excess electrons inside middle cage. Applying an oriented external electric field (OEEF) of -20 × 10-4 au (-0.1018 V/Å) or a larger one can result in both left-to-right transfers of the two excess electrons, and then releasing the OEEF can form new kind of inter-cage electron-transfer isomers (III or IV). Each triplet I ~ IV with three redox sits may be new members of mixed-valent compounds, namely, Robin-Day Class II. For electrified I of (C20F20)3&K2 , the following spin states are ground state: 1) triplet state in field ranges of -120 × 10-4 < Fx < -30 × 10-4 au and 30 × 10-4 < F-4 < 111 × 10-4 au; 2) CS singlet state in range of Fx ≥ 111 × 10-4 and ≤ -120 × 10-4 au; 3) OS singlet state in ranges of -30 × 10-4 ≤ Fx ≤ -5 × 10-4 au and 5 × 10-4 ≤ Fx ≤ 30 × 10-4 au.