deepFDEnet: A Novel Neural Network Architecture for Solving Fractional Differential Equations

The primary goal of this research is to propose a novel architecture for a deep neural network that can solve fractional differential equations accurately. A Gaussian integration rule and a $L_1$ discretization technique are used in the proposed design. In each equation, a deep neural network is used to approximate the unknown function. Three forms of fractional differential equations have been examined to highlight the method's versatility: a fractional ordinary differential equation, a fractional order integrodifferential equation, and a fractional order partial differential equation. The results show that the proposed architecture solves different forms of fractional differential equations with excellent precision

Cloning and expression of the V-domain of the CD166 in prokaryotic host cell

Purpose: CD166/ALCAM (Activated leukocyte cell adhesion molecule) as an immunoglobulin is implicated in cell migration. It is also involved in tumorigenesis of CRC (colorectal cancer) and known as a cancer stem cell marker. CD166, as a membrane protein, potentially represents either diagnostic or therapeutic capacities for CRC.Methods: In this study, the sequence of V domain was optimized for expression in prokaryotic host using online tools and cloned into pET-28a plasmid. The recombinant pET28a was transformed into the E. coli BL21DE3 using heat shock method and expression of recombinant V domain was examined using SDS-PAGE (sodium dodecyl sulfate polyacrylamide gel electrophoresis).Results: The results confirmed protein expression of recombinant 22.77 kDa V domains in bacterial expression system.Conclusion: V domain of the CD166 was expressed successfully in E. coli bacteria. This recombinant fragment can be introduced as a suitable diagnostic and therapeutic candidate for screening and cancer-therapy of CRC patients, respectively.

The Role of Employee Expectations and Brand Promises in Forming the Employer Brand Experiences

This paper aimed to examin how employer brand experience formed for talented employees and determine the effect of employee’s expectation and brand promise on forming the employer brand experiences. The statistical population is talented employees who worked in active enterprises of Tehran labor market with mixed research method.This study is applied and survey research which was done with theme analysis from 25 interviews by using Nvivo 10 software and identified expectations, brand promises, and brand experiences from the talented employees point of view. The research hypotheses were tested with path analysis from 437 questionnaires by using SPSS 25 and AMOS 24 software. Results revealed that employees expectations affected either through brand promise, or directly on brand experience. Also job experience affected on brand promise. In the other hand, brand promise affected either through brand experience, or directly on turnover intention. Although brand experience didn’t lead to job persistence, brand promise affected directly on job persistence. The model found that employee’s expectations and employer brand promises had hierarchical structure. The concept of employer brand experience for employee included sum of employer brand images that they could remember from each touch points with organization

Dual-Band Transceiver High Impedance Coil Array for Ultra-high Field Magnetic Resonance Imaging

A novel approach for designing an element of an arrayed radio frequency coil for ultrahigh field magnetic resonance imaging (UHF MRI) is presented. The purpose of this approach is to achieve the dual-band transceiver regime in a compact array of magnetic antennas. Our work qualitatively develops the concept of the so-called high-impedance coil (HIC), combined with the adequate interfacing circuitry, which offers the decoupling of the HICs in the array due to the very high self-impedance compared to the mutual impedance. This concept has not been previously thought applicable to dual-band transceiver arrays. We show that, by slightly modifying only the cable shield, we achieve a dual-band transceiver high-impedance coil (dual-band TRHIC). The needed modification implies two asymmetric gaps granting two useful eigenmodes to the cable loop. The resonant excitation of these modes will allow the magnetic resonant scanning of both hydrogen and Phosphorus in the 7 T dc magnetic field. To verify our ideas, we simulated and measured a single TRHIC in both transmitting and receiving regimes and similarly studied two linear arrays made of two and three proposed TRHICs. The method of asymmetric gaps, in our opinion, allows one to engineer the targeted multifrequency operation of arrayed TRHICs decoupled at these frequencies.Peer reviewe

Automatic Chart Understanding: A Review

Automated chart analysis has vast potential to improve the accessibility of charts for a wider audience, e.g., people with visual impairments or other disabilities, by generating captions for chart images that can quickly convey the information being represented. Additionally, it can improve the performance of automatic document analysis systems, by enabling them to extract valuable information from the documents with graphical/visual scientific content. Although recent advancements in modality translation and multi-modal learning have led to the development of more or less successful image captioning and visual question answering methods, but most of them have been designed for general images, and cannot be successfully applied to specific areas such as medical images or scientific charts and graphs. Therefore, further research is necessary to develop automated chart analysis methods that can be effectively applied to these specific areas. In this paper, a comprehensive review of chart analysis methods is presented. The review covers a wide range of chart types, including line charts, bar charts, scatter plots, and includes an in-depth analysis of each method. Additionally, this paper provides a more extensive coverage of chart analysis methods compared to previous studies, making it a valuable resource for researchers and practitioners in the field. Various techniques can be categorized from different aspects, such as chart type, model architecture, learning algorithm, visual feature space, and language modeling. In this paper, different methods are classified from a more technical viewpoint, by considering the approach used for modeling the problem. A taxonomy is proposed which divides the methods into three major categories: rule-based, chart captioning, and chart question- answering approaches. The rule-based approach uses the classical knowledge representation methods for reasoning, which has been diminished by the emergence of deep learning models. Chart captioning provides a general summary of the information conveyed by a chart through recent modern learning methods but may miss some detailed information which may be of special interest. On the other hand, the question answering allows for a direct response to a more specific user question by combining image analysis and text understanding techniques. Finally, the existing challenges and the potential research directions of the interesting chart understanding problem are discussed

El papel del interés social y la empatía en los comportamientos de ayuda durante las inundaciones

This study examined the role of social interest and empathy in helping and not helping adults during floods. Participants were split into two groups with helping behaviors (N=90) and without helping behaviors (N = 90) during floods from six cities, Khuzestan province, Iran. A demo-graphic questionnaire, the Social Interest Scale (SIS), and the Question-naire Measure of Empathic Tendency (QMET)) were used in this study. Analysis showed that people in the helping group had higher social interest than those in the control group. Also, individuals with helping behaviors had greater performance in susceptibility to emotional contagion, extreme emotional responsiveness, tendency to be moved by others' positive emo-tional experiences, tendency to be moved by others' negative emotional experiences, sympathetic tendency, willingness to be in contact with others who have problems, and the total score of empathy than persons in the control group.These findings can be combined with the emergency aid programs in natural disasters.Este estudio examina el papel del interés social y la empatía en ayudar y no ayudar a los adultos durante las inundaciones. Los participantes se dividieron en dos grupos con comportamientos de ayuda (N= 90) y sin comportamientos de ayuda (N= 90) durante las inundaciones de seis ciu-dades, provincia de Juzestán, Irán. En este estudio se utilizaron un cuestio-nario demográfico, la Escala de Interés Social (SIS) y el Cuestionario de Medida de Tendencia Empática (QMET). El análisis mostróque las perso-nas en el grupo de ayuda tenían mayor interés social y empatía que las del grupo de control. Este estudio describe cómo, en resumen, el interés social y la empatía contribuirían a ayudar a las personas afectadas por las inunda-ciones a salvar sus vidas y sus propiedades. Estos hallazgos se pueden combinar con los programas de ayuda de emergencia en desastres naturales y se convertirán en información pública

Personality profiles and clinical syndromes of patients withtonic-clonic seizures

Introduction: Epilepsy is one of the chronic neurological disorders with an incidence rate of 3% in the normal population. Epilepsy may render behavioral changes so that affected people are prone to prolonged interpersonal difficulties. In order to evaluate co-morbidities and potential personality changes, the study was conducted among the patients with epilepsy in an Iranian population. Methods: The study was a cross-sectional one with a convenience sampling method. The data of 74 patients with epilepsy and 74 non-epileptic patients were collected by clinical interview and Millon clinical multiaxial inventory (MCMI-III) and were analyzed by SPSS software. Results: The average age was 31.70. The highest scores gained in epileptic patients were in narcissistic 14.04 (4.53%), obsessive 14.26 (4.30%), and negativistic domains 14.15 (5.24%), while histrionic 76.38 (28.54%) and obsessive 61.74 (24.03%) patterns were obtained in non-epilepticpeople. There were significant differences between the two groups in all areas except for the debasement index (Z score) and the negativistic personality disorder. There was a significant positive correlation between narcissistic and obsessive personality patterns and post-traumatic stress disorder with education, as well as between sex and drug dependency. Economic and marital status showed correlations with schizoid personality and sadistic personality, respectively. Conclusion: Patients with tonic-clonic seizures have although difficulties in personality (negativistic) and clinical syndrome areas but the results showed lower scores in subscales except for disclosure (X index) compared with non-epileptic individuals. They are more inclined to disclose the problems with worse mental health conditions than non-epileptic people

Detection of NDM-1 producing Klebsiella pneumoniae ST15 and ST147 in Iran during 2019-2020

Carbapenems are employed to treat infections caused by Grain-negative bacteria including Klebsiella pneumoniae. This research is aimed to perform phenotypic detection of 8-lactamases and molecular characterization of NDM-1 positive K pneumoniae isolates. Another objective is to investigate NDM-1 producing K. pneumoniae among children in Iran. From 2019 to 2020, altogether 60 K. pneumoniae isolates were acquired from various patients in certain Iranian hospitals. Antimicrobial susceptibility testing was performed by disk diffusion and broth microdilution methods. In addition, mCIM and eCIM were used to confirm the production of carbapenemases and metallo-beta-lactamases (MBLs), respectively. Detection of resistance genes namely, bla(ND)(M-1), bla(IMP), bla(VIM), bla(KPC) bla(OXA-48-like), bla(CTX-M), bla(SHV), bla(TEM), and mcr-1 was performed by PCR and confirmed by DNA sequencing. Multilocus sequence typing (MLST) was employed to determine the molecular typing of the strains. According to the findings, the highest rate of carbapenem resistance was detected against doripenem 83.3% (50). Moreover, 31.7% (19) were resistant to colistin. Further to the above, altogether 80% (48) were carbapenemase-producing isolates and among them 46.7% (28) of the isolates were MBL and 33.3% (20) isolates were serine beta-lactamase producer. According to the PCR results, 14 isolates produced bla(ND)(M-)1. Remarkably, four bla(NDM-1). positive isolates were detected in children. In addition, these isolates were clonally related as determined by MLST (ST147, ST15). Altogether ten bla(NDM-1) positive isolates were ST147 and four bla(NDM-1) positive isolates were ST15. Based on the results, the emergence of NDM-producing K pneumoniae among children is worrying and hence, it is necessary to develop a comprehensive program to control antibiotic resistance in the country