Green Synthesis and Thermal Encapsulation of Organic Cathode for Aqueous Zn Battery

Aqueous zinc batteries are increasingly gaining attention of the researchers in recent years because of their environmental and user friendliness as well as the economic benefits of the zinc metal. Herein we report a ferrocene based organic cathode synthesized by following green chemistry principle and stabilized by low temperature thermal encapsulation in multiwalled carbon nano tubes (MWCNTs) for stable electrochemical performance. Successful intercalation was confirmed by XRD, Raman, FTIR spectra, TEM-HAADF imaging. Without encapsulation, material exhibited initial capacity of 64.7 mAhg-1 which was drastically faded with time due to dissolution of active material. However, by low temperature thermal encapsulation, the capacity was remarkably improved to 71.3 mAhg-1 with 94% columbic efficiency and 91% capacity retention at a current density of 75mAg-1 in a 100 charge/discharge cycles. The stability of the electrode has been explained on the basis of a friendly host-guest interaction between CNTs and the organic molecules by π-π stacking, dipole-dipole and dipole induced dipole interactions with detailed electrochemical and spectroscopic characterization. From this study we conclude that the thermal intercalation in MWCNTs has been found to be excellent method to stabilize the electrode materials in battery application.

Transfer learning based handwritten character recognition of tamil script using inception-V3 Model

The paper describes the excellent method to get first-rate accuracy and performance in the discipline of Tamil character recognition in a handwritten mode. However, the subject is still at a nascent stage and grossly lacks adequate accuracy in the Tamil language, even though several studies have been conducted within the discipline of handwritten character recognition. This paper draws the attention to the offline handwritten recognition for the Tamil language using the Inception-v3 based transfer learning method. The proposed work is conducted on the readily available HP Tamil handwritten character offline dataset (Hewlett-Packard Lab: hpl-tamil-iso-char-offline-1.0.). It reveals that with the suitable arrangement of transfer learning approach with Inception-v3, the pre-trained model can achieve the recognition accuracy of 93.1%, overtaking the former deep learning designs. The achieved accuracy is due to the use of a pre-trained version with transfer learning that regularly hastens the method of the training process on a new task. Overall, this results in higher accuracy and a more capable version.

A study on stochastic modelling of the repairable system

All reliability models consisting of random time factors form stochastic processes. In this paper we recall the definitions of the most common point processes which are used for modelling of repairable systems. Particularly this paper presents stochastic processes as examples of reliability systems for the support of the maintenance related decisions. We consider the simplest one-unit system with a negligible repair or replacement time, i.e., the unit is operating and is repaired or replaced at failure, where the time required for repair and replacement is negligible.When the repair or replacement is completed, the unit becomes as good as new and resumes operation. The stochastic modelling of recoverable systems constitutes an excellent method of supporting maintenance related decision-making processes and enables their more rational use.

Peculiarities of teaching a foreign language to lawyers students

The language of law is a technical language, different from other technical languages such as mathematics or physics, as it is bound to the national legal system and has its own highly specialised terminology. In a language of special communication, the text is expressed in a special language or sub-language that is subject to specific syntactic, semantic and pragmatic rules. Purpose of the study: To examine the specific features of teaching a foreign language to lawyers students. A systematic review can be explained as a research method and process for identifying and critically evaluating relevant studies and for collecting and analysing data from those studies. An excellent result of teaching legal English involves providing students with the ability to formulate speech with specific terminology and to develop their thinking about the law. Here's why teachers encourage discussion and role-playing to improve students' oral expression. An excellent method of developing listening skills in the absence of native speakers is video. We use this method with our class and it has proved very effective in attaining communication purposes. Teachers design all kinds of exercises for students and apply them while watching or post-viewing videos.

Physical Parameters of Compost Made from Cattle Farming Waste Using Vermicomposting Method

Cattle Farm should not only be focusing on increasing productivity and maximizing profit but also on the environmental issue that happens around it. Recycling the waste and turning it into fertilizer is an excellent method of waste management. Effective and efficient organic waste management also provides great benefits for humans. One method that can be used is by using the vermicomposting method using Lumbricus rubellus earthworm inside a bamboo reactor. In this research there are two bamboo reactors are used, Reactor A contains a mixture of cow dung and rice straw, and Reactor B containing cow manure only. Physical parameters that were observed are moisture content, pH, temperature, color, and odor. The data were taken around weeks 0, 2, 4, and 6. It shows that the composts have water content values over 50%, pH values between 6-9, temperatures of <30 ° C, blackish in color, and an odor that resembles the smell of soil. From the four parameters examined, only the water content did not fulfill the SNI 19-7030-2004 requirement about the standard of compost quality, however water content can be controlled by drying.

UNDERGRADUATE IMPRESSION REGARDING AETCOM AS LEARNING TOOL

Introduction And Objective: Knowledge of proper Attitude, Ethics and Communication Skills with the patients plays a vital role in success of medical professionals. So, AETCOM module has been formulated to train the medical students from first MBBS itself as a part of their foundation course. We wanted to assess the perception of Attitude, Ethics and Communication Skills (AETCOM) Module by first MBBS students as a learning tool in their foundation course. Methods: 1. This is a cross sectional observational study conducted over a period of one month involving first year MBBS students who joined in the year 2019-20 in Private medical college at Chhattisgarh. 2. 105 students were included in this study. 3. The teaching schedule of AETCOM Module had four sessions three hours each. 4. At the end of the AETCOM module feedback on their perception was collected. Results: A majority of the students (77.14%) agreed that the AETCOM Module will definitely improve their communication skills with the patients. They also felt that this type of teaching should be included in their regular curriculum and this should be an ongoing process throughout their semester. Students views on AETCOM were- asset for gaining confidence of the patients (87.62%), useful for themselves and for future practice, excellent method for improvement of diagnosis (81.90%). Conclusion: The AETCOM Module will definitely help students on long-term basis. It will help them gain confidence and develop good communication skills for a better doctor patient relationship.

Identification of Novel ADGRV1 and KCNC2 Variants Using Whole-Exome Sequencing in Two Colombian Patients with Usher and Encephalopathy Syndromes

Introduction: Usher syndrome has a broad phenotypic and genotypic spectrum. Developmental and epileptic encephalopathy-52 (DEE52) is a sever autosomal recessive seizure disorder that is characterized by infantile onset of refractory seizures, consequently resulting in delayed global development. This study aimed to describe the clinical features and to investigate the four variants identified in a Colombian family with Usher syndrome and KCNC2 encephalopathy syndrome.Methods and Results: We present a case of a family with two clinically relevant phenotypes: a mother with a compound heterozygous mutation causing Usher Syndrome, type IIC (USH2C) and her 15-year-old son who carried one heterozygous variant in the KCNC2 gene (p.P470S) and two cis mutations (p.V2927I and p.Q4955EfsTer10) in the ADGRV1 gene segregated from his mother, and a second non-disrupted allele. Owing to this, the boy did not present with USH2C but presented a developmental epilepsy syndrome. His younger sibling was unaffected, although he did inherit the trans mutation in a single pathogenic allele from his mother.Discussion and Conclusion: Whole-exome sequencing helps detect genes related to known and novel hearing loss and seizure syndrome. However, familiar segregation studies are an excellent method to clarify genotype-phenotype correlation in families, where multiple genes of clinically relevant have been identified. This method helps determine the genotype-phenotype relationship of a disease, which is associated with the clinical presentation and determines the pathogenicity of variants that are classified as variants of uncertain clinical significance.

Performance Analysis on the Effect of Noise in Inverse Surface Adaptive Thresholding (ISAT)

Thresholding is one of the powerful methods in segmentation phase. Numerous methods were proposed to segment the foreground from the background but there is limited number of studies that analyse the effect of noise since the present of noise will affect the performance of the thresholding method. In this paper, the main idea is to analyse the effect of noise in Inverse Surface Adaptive Thresholding (ISAT) method. ISAT method is known as an excellent method to segment the image with the present of noise. The result of this analysis can be a guideline to researcher when implementing ISAT method especially in medical image diagnosis. Initially, several images with different noise variations were prepared and underwent ISAT method. In ISAT method, several image processing methods were incorporated namely edge detection, Otsu thresholding and inverse surface construction. The resulting images were evaluated using Misclassification Error (ME) to evaluate the performance of the segmentation result. Based on the obtained results, ISAT performance is consistent although the noise percentage increases from 5% to 25%.

The Impact of Multisensory Method on Students’ Memorizing Vocabulary at Halimah Kindergarten Prenduan Sumenep

Young learners were aged 5-6 have a golden age to master a new language since they have good memorization in their brains. It is similar to the phenomenon at Halimah Kindergarten Prenduan Sumenep. 11 students had mastered their first language (Indonesian) 8 of 11 students among them cannot answer the teacher's question about English vocabulary of profession after the teacher taught learning vocabulary in the classroom. Additionally, the students are still difficult to answer the questions. Ultimately, this research measures whether kindergartens students learning vocabulary with the Multisensory Method have better-memorizing vocabulary and the significant impact of the Multisensory Method after treatment. The researcher conducted research using a quantitative approach with consist pre-experimental design. The data was obtained by observing pre-test and post-test. Likewise, documentation was used to legitimize the data. The data result found that learning vocabulary for the young learner is easier to understand if the teacher applies a multisensory method (t value: 5.164) which is higher than t table 2.23. Hence, the multisensory method is an excellent method to be applied for kindergarten in the classroom.

Student teachers’ experience with improvisation activities for spontaneous speech practice in English

Because most real-life foreign language speech is naturally unpredictable, spontaneous speech should be practiced in the foreign language classroom. Student teachers of English as a foreign language (EFL) may benefit from practising methodology for spontaneous speech practice. This article reports the findings for a study into EFL student teachers’ experiences with using improvisation activities, exploring the relevance of improvisation activities for spontaneous speech practice. The data include semi-guided texts and reluctant speakers’ interviews. The findings showed that improvisation activities facilitated spontaneous speech practice and strengthened speaking confidence through enjoyment. The ‘spontaneous speech mindset’ enabled participants to explore linguistic and creative boundaries. The study showed that application of improvisation activities is an excellent method for spontaneous speech practice in EFL teacher education.