Elegant Economy in Elizabeth Gaskells Cranford: A Socialist Feminist Study

Elizabeth Gaskell 1810-1865 was a Victorian writer who had to undergo various kinds of condescension for her writings After bearing the stigma of being conformist conventional and meek as ascribed to her by the contemporary feminist critics Gaskell s writings are being revisited with a new feminist perspective in recent years The present paper is also a humble attempt to rediscover the feminist dimension of her writings by exploring one of her novels Cranford 1853 through a socialist feminist lens Cranford presents such a social structure that is devoid of a Class system and constructed by women in a matrilineal society as against the capitalist patriarchal society of Drumble This Matriarchal socialist social structure is based on the values of cooperation humanity and motherly care characteristic to the differently developed gendered subjectivity of women The social change through the agency of woman foreshadows Gaskell s far-sighted feminist views of the 1970

Psychological Barriers in the ESL Learning Process of Tribal Students: A Study

This study was conducted among the tribal students of Kurkheda taluka, district Gadchiroli to verify the observation and to isolate the impending factors that baulk their (ESL) English as Second Language learning process. Through the study it has been observed that the pace at which the tribal students learn English (ESL) is extremely slow in comparison with that of most other students. This study tries to reveal some interesting facts, which are discussed in this paper. Of the numerous problems face, the psychological and linguistic factors are of paramount significance which adversely affect the (ESL) learning process of the tribal student

Survey on Massive MIMO techhnology in 5G Network

As per cisco figure, 5.5 billion individuals in a world will claim cell phones by 2020. 10millions of the portable clients utilizes 25 diverse savvy gadgets in their day by day schedules and will expend 20GB of information every month itself in United Kingdom A lots of application like smart hospitals, smart factories, broadband access, 4k video, education, field service, location based service, driverless vehicles enlarging to the every places on earth and todays wireless network cannot handle that, is not  a surprise. The up and coming age of remote system or 5g innovation must moved toward existing difficulties like productivity, inclusion, unwavering quality and future limit imperatives like portability, inactivity, traffic limit, information rate. Gigantic MIMO (Multiple Input Multiple Output) is an innovation that utilizes various receiving wires for transmitter and collector that offers huge gains in remote information rates and connection unwavering quality. Without expending increasingly radio range or causing obstruction, MIMO innovation takes into consideration information utilization for additional clients in a thick territory In this paper, we have performed a comprehensive study on massive MIMO systems for advanced generation of wireless network

OVERVIEW OF WIRELESS NETWORK CONTROL PROTOCOL IN SMART PHONE DEVICES

The computer network connection without wire or any cable is referring as wireless network. These wireless local area networks are popular for its worldwide applications. It has covered wide scale wireless local area network. The large scale systems to all applicable areas make large numbers of wireless termination and covering very much area. To reduce the complexity associated with server management, Information Technology organizations begins the process of centralizing servers. It used with architecture principles of centralized management requirement for network to scale, network architecture needs to be able to support enhanced services in addition to just raw connectivity, distributed processing is required both for scalability ability and services, network support continuously increase the level of throughputs etc. Wireless LAN product architectures have evolved from single autonomous access points to systems, consisting of a centralized Access Controller and Wireless Termination Points. The basic goal of centralized control architectures is to move access control, including user authentication and authorization, mobility & radio management, from one access point to centralized controller. The Wireless network Control Protocol allows for access and control of large-scale wireless local area networks. It can allows management of these networks, Control and Provisioning of Wireless Access Points In computer networking, a wireless access point is a device that allows wireless devices to connect to wired network using Wi-Fi, Bluetooth or related standards. The WAP usually connects to a router via a wired network, and can relay data between the wireless devices such as computers or printers and wired devices on the networ

Biosensors for Early Cancer Biomarker Detection

Cancer is a highly fatal disease, and due to contemporary lifestyle and growing, environmental pollution chances of cancer are increasing, which is a global threat. The high mortality rate in cancer is caused primarily due to its late detection, mostly in a metastatic third or fourth stage, resulting in a poor after therapy prognosis. The conventional detection methods include identification of carcinogenic features of cells such as DNA or RNA mutation, conformational changes and overexpression of some proteins, and cell morphology, which are called biomarkers or analytes. Those processes are specialist-dependent, time-consuming, and expensive. Recently, biosensors are becoming popular as easy, quick, cheap, and highly sensitive detection tools. The biosensor technique depends on the availability of biomarkers in the sample. Thus, identifying new molecular markers for various types of cancers is a parallel issue, which is, fortunately, in rapid progress. A biosensor has a biomarker-specific layer of biorecognition elements on a transducer, which acts as an electrode. Upon binding of biomarkers with the biorecognition elements, a chemical signal gets generated. The transducer converts that signal into a measurable output for further analysis. Among several biorecognition elements, antibodies (Abs) are highly demanding, especially for the cancer diagnosis, for their unique three-dimensional structures and high specificity. This report would focus on the complete fabrication process of biosensor for cancer biomarker detection. Results of some of the recent studies obtained in the laboratories relating to fabrication and application of nanomaterial modified biosensors for cancer biomarker detection are also mentioned

Material Selection Methodology for a Go-kart Chassis using FEA and Weighted Decision Matrices

Performance enhancement in automobile parts is usually focussed on design optimization, but a periodic investigation into the material used can provide significant increments as well. This ideology is explored deeply in this paper as the material selection process of a go-kart chassis is demonstrated in the form of load calculations, property comparisons, and finite element analysis. The philosophy behind setting priorities in terms of mechanical properties and finite element analys is results is also discussed. The results are compared using a weighted decision matrix to ensure a balanced decision. This method of comparison can be divided into 3 steps where first, the properties are given weightage, followed by scoring and calculating a cumulative score for each material in correspondence with the criteria considered. These scores were then used to compare all the materials. The material selected based on the result improved the performance of the chassis in terms of safety and performance in a student competitio

Maternal and perinatal outcome in antepartum haemorrhage patients attending tertiary care hospital in central India: a prospective observational study

Background: Antepartum haemorrhage (APH) is an emergency obstetrical condition that accounts for 2-5% of pregnancies and contributes to high level of maternal and perinatal mortality and morbidity. The present study was undertaken to assess the incidence of APH and to determine the maternal and fetal outcome in women with APH.Methods: This study was conducted in 130 women diagnosed with APH (gestational age ≥28 weeks) admitted in the department of obstetrics and gynaecology, at tertiary care hospital in central India over a period of 18 months from January 2020 to June 2021.Results: The overall incidence of APH was 1.09% and majority of them had abruptio placentae (AP-53.08%) followed by placenta praevia (PP-38.46%) and unknown (UK-8.46%). Anaemia (90%) was the commonest maternal morbidity. A significant association found between APH type and HELLP infection (p<0.0001), PPH (p=0.028) and DIC (p<0.0001). Rate of maternal morality was 9.23% and commonest causes of mortality were renal failure and PPH (91.67% each). Most common neonatal morbidities were birth weight of <2.5 kgs (84.32%) and NICU admission (27.61%). APH type was significantly associated with birth weight (p<0.0001). Majority of neonates were born live (56.72%), 36.57% were IUDs, 6.72% were still born, and 14.18% were neonatal deaths. APH type was significantly associated with live births and IUDs, (p<0.0001).Conclusions: APH is still a leading cause of maternal morbidity and mortality. Most of the patients were booked at other centres and were presented late with complications at the time of admission. Both these factors have contributed significantly to the incidence of APH as well as maternal and perinatal morbidity and mortality

Survey of Applications of Ml in Stress Detection

Stress is a common and pervasive issue that affects millions of people worldwide. It can lead to a variety of negative health outcomes, including anxiety, depression, and physical health problems. Early detection of stress is crucial for effective management and prevention of these negative outcomes. Stress detection technologies using machine learning algorithms can provide individuals with valuable information about their stress levels and help them manage their stress in more effective ways. This can lead to improved mental and physical health outcomes, as well as increased productivity and overall well-being. Therefore, stress detection is an important area of research that has the potential to positively impact the lives of many people.&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; This paper presents a survey of techniques applicable to the field of stress detection using machine learning (ML) algorithms. We categorize these techniques based on the approach they take and discuss various challenges, open questions, and future work in this area. We present a taxonomy of existing research and finally discuss gaps and future directions of research to advance the study of stress management using most recent ML techniques. These technologies provide individuals with valuable information about their stress levels and can help them manage their stress in more effective ways