Income and Employment Pattern of MNREGA Programme in District Sant Kabir Nagar

The MGNREGA scheme is an initiative to improve rural livelihood, but also there are several pros and cons. So, this research is being done to study the scheme in the selected area. The study was conducted using purposive cum random sampling procedure and seventy-five respondents were selected from a block of district. The data collected through personal interview method were classified, tabulated and analysed in the light of objectives of the study. MGNREGA is a beneficiary scheme that improves the socioeconomic face of the maximum rural households in the selected research area. It is seen that majority of the respondents are enjoying the income and employment rewards from the scheme and are further seeking it in the future. The wages provided and works assigned are found satisfactory to the households, and MGNREGA enhances livelihood security in the study area

Formulation development and in vitro characterization of bilayer and floating-bioadhesive tablets of propranolol hydrochloride

Abstract The aim of the present research was to develop a bilayer and floating-bioadhesive drug delivery system exhibiting a unique combination of floatation and bioadhesion to prolong residence in the stomach using propranolol hydrochloride as a model drug. The sustained layer was compressed and granules of the floating layer were added to it then both layers were compressed using a single station rotary press. Granules and tablets were characterized using the official method. Hydroxypropyl methylcellulose (HPMC

Inhibition of Mycobacterium tuberculosis MtrA response regulator by anticancer drugs via computational methods

Mycobacterium tuberculosis (MTB) causes TB disease and millions of deaths are reported every year. Drug resistance TB and its complex treatment is a big problem worldwide. The present  study aimed to design new and safer antitubercular compounds to tackle this serious threat. The unique drug target is the MtrAB Two-component regulatory system (2CRS) of mycobacteria. MtrAB system consists of MtrB sensor kinase (SK) and MtrA response regulator (RR). This system is essential in MTB and is involved in mycobacteria's proliferation. This important physiological process is operated by the phosphorylation of MtrB and then to MtrA. The phosphorylation mechanism triggers modulation in the expression of MtrA targets genes and helps perform appropriate function. This phenomenon depends on the active and inactive confirmation of MtrA, which involves a ligand (Metal ion complex e.g. Mg2+). In this study, anti-cancerous compounds were selected for the inhibition of MtrA. However, molecular docking exhibited binding affinity ranging from −10.8 to −4.7 kcal/mol, targeting the binding pocket of the selected Tuberculosis–MtrA protein (PDB ID: 5L8X). This energy difference between the native ligand and docked compounds showed that the six molecules: (Risperidone, 2-(benzofuran-2-yl)-6,7-dimethyl-4H-chromen-4-one, (2E)-1-(4-hydroxyphenyl)-3-(quinolin-4-yl)prop-2-en-1-one, Estradiol Cypionate, (2Z)-6-hydroxy-2-(3,4,5-trimethoxybenzylidene)-1-benzofuran-3(2H)-one, (2E)-3-(2,3-dihydro-1,4-benzodioxin-6-yl)-1-(3-hydroxyphenyl)prop-2-en-1-one) mentioned are more potent than the native ligand.These six molecules were first time reported as the inhibitor for MtrA of MtrAB Two-component regulatory system and can be utelize for further study

Use of proximal humerus internal locking system plate in proximal humerus fractures and its relation with the functional outcome

Background: Proximal humerus fractures are the fractures occurs at or proximal to the surgical neck of the humerus, which accounts for 7% of all fractures and 80% of all humeral fractures. Now a days most of these fractures are managed with internal fixation because of better availability of anatomical plates. The aim was to assess the functional outcome and complications of proximal humerus fractures treated with proximal humerus internal locking system (PHILOS).Methods: This is a prospective study of 30 patients with two, three, and four parts proximal humerus fractures treated with proximal humerus internal locking sysyem from 2016 to 2018 with 25 to 80 years of age in a tertiary care hospital. Functional outcome is assessed by using constant murley shoulder scoring system.Results: Functional outcome as per constant score, 10 patients (33%) got excellent outcome, 06 patients (20%) got very good outcome, 07 patients got (23%) good outcome, 05 patients got (17%) fair outcome and 02 patients got (07%) poor outcome. Complications observed were superficial infections, implant failure and axillary nerve neuropraxia.Conclusions: Open reduction and internal fixation by using PHILOS is the ideal method in treating displaced proximal humerus fractures mainly in two and three part proximal humerus fractures which provides stable fixation and less complications

Research on Various Display Properties of a Room-Temperature Twisted Nematic Display Material 6CHBT by Doping Single-Walled Carbon Nanotubes

Present studies concentrate on the optical, dielectric, and electro-optical properties of single-walled carbon nanotubes (SWCNTs) doped in the nematic matrix of the liquid crystalline material 4-(trans-4¢-n-hexylcyclohexyl)isothiocyanatobenzene (6CHBT). 6CHBT is the nematic liquid crystalline substance that was employed in the investigation. SWCNTs having a diameter of around 0.8-1.4 nm and a length of about 100-300 nm have been inserted into it. For displays, the nematic liquid crystalline material 6CHBT is a perfect basis material due to its nematic phase temperature range of 12.5 - 43.0 °C. SWCNTs have been doped in 6CHBT in two different concentrations i.e., 0.01 and 0.02% (weight ratio). For higher concentrations, CNTs were observed to be bundled at different locations. For this reason, higher concentrations were not studied.  Using electro-optical and dielectric spectroscopy, the effects of SWCNTs doping on a number of display characteristics, including threshold voltage, dielectric anisotropy, and splay elastic constant, have been investigated. SWCNTs alignment parallel to the nematic direction is supported by the nematic phase. Nevertheless, in the nematic phase, the SWCNTs improve the molecules\u27 local orientational arrangement. Consequently, the use of SWCNTs considerably reduces the threshold voltage required to change the geometry of the molecules from planar (bright state) to homeotropic (dark state)

Functional outcome of non-vascularized fibula in gap non union

Background: Gap non-union is one of the most perplexing problems facing the orthopedic surgeon today. Fibula is the preferred site of non-vascularized bone graft due to its easy accessibility to surgical resection and minimal donor site complications.Methods: The study comprised 11 patients of gap non-union between 13 to 80 years (mean=34.9 years). The fibular graft was harvested from the mid shaft and cortico-cancellous bone graft taken from the iliac crest was applied at both ends of the fibular graft to aid in union.Results: The average bone gap was 7 cm (4-13 cm). 64% of the patients achieved bone union after the first procedure, of the remaining 4 patients, 1 patient showed union after secondary cortico-cancellous bone grafting, while two are planned for the same. The remaining one patient has only completed 16 weeks follow-up at present and is not showing signs of union at present. Functional range of motion was achieved in both the proximal and distal joints in all cases.Conclusions: Non-vascularized fibular bone grafting is a simple and effective treatment option which does not require any special skill, has a very low complication rate and has very high patient compliance

Wireless body area networks: UWB wearable textile antenna for telemedicine and mobile health systems

Producción CientíficaA compact textile ultra-wideband (UWB) antenna with an electrical dimension of 0.24λo × 0.24λo × 0.009λo with microstrip line feed at lower edge and a frequency of operation of 2.96 GHz is proposed for UWB application. The analytical investigation using circuit theory concepts and the cavity model of the antenna is presented to validate the design. The main contribution of this paper is to propose a wearable antenna with wide impedance bandwidth of 118.68 % (2.96–11.6 GHz) applicable for UWB range of 3.1 to 10.6 GHz. The results present a maximum gain of 5.47 dBi at 7.3 GHz frequency. Moreover, this antenna exhibits Omni and quasi-Omni radiation patterns at various frequencies (4 GHz, 7 GHz and 10 GHz) for short-distance communication. The cutting notch and slot on the patch, and its effect on the antenna impedance to increase performance through current distribution is also presented. The time-domain characteristic of the proposed antenna is also discussed for the analysis of the pulse distortion phenomena. A constant group delay less than 1 ns is obtained over the entire operating impedance bandwidth (2.96–11.6 GHz) of the textile antenna in both situations, i.e., side by side and front to front. Linear phase consideration is also presented for both situations, as well as configurations of reception and transmission. An assessment of the effects of bending and humidity has been demonstrated by placing the antenna on the human body. The specific absorption rate (SAR) value was tested to show the radiation effect on the human body, and it was found that its impact on the human body SAR value is 1.68 W/kg, which indicates the safer limit to avoid radiation effects. Therefore, the proposed method is promising for telemedicine and mobile health systems.Gobierno del Pais Vasco - HAZITEK e IT-905-1

Edge Computing in Centralized Data Server Deployment for Network Qos and Latency Improvement for Virtualization Environment

With the advancement of Internet of Things (IoT), the network devices seem to be raising, and the cloud data centre load also raises; certain delay-sensitive services are not responded to promptly which leads to a reduced quality of service (QoS). The technique of resource estimation could offer the appropriate source for users through analyses of load of resource itself. Thus, the prediction of resource QoS was important to user fulfillment and task allotment in edge computing. This study develops a new manta ray foraging optimization with backpropagation neural network (MRFO-BPNN) model for resource estimation using quality of service (QoS) in the edge computing platform. Primarily, the MRFO-BPNN model makes use of BPNN algorithm for the estimation of resources in edge computing. Besides, the parameters relevant to the BPNN model are adjusted effectually by the use of MRFO algorithm. Moreover, an objective function is derived for the MRFO algorithm for the investigation of load state changes and choosing proper ones. To facilitate the enhanced performance of the MRFO-BPNN model, a widespread experimental analysis is made. The comprehensive comparison study highlighted the excellency of the MRFO-BPNN model

Optimized control strategy for enhanced stability in grid-connected photovoltaic-wind hybrid energy systems

To improve stability in grid-connected photovoltaic-wind (PV-wind) hybrid energy systems, this research presents optimized model predictive control (MPC) and proportional resonant (PR) control algorithms. The proposed MPC strategy enhances power management by forecasting future system behavior and optimizing control actions accordingly, while the PR controller effectively handles grid-synchronized voltage regulation and harmonic compensation. Together, these advanced control techniques significantly improve grid stability, ensure optimal utilization of renewable energy resources (RER), and maintain power quality under varying operating conditions. The performance of the hybrid system is evaluated through extensive simulations that consider a range of real-world scenarios, including fluctuating load demands and diverse climatic conditions. The results confirm the effectiveness of the proposed MPC and PR-based control in dynamically adjusting power output from wind and photovoltaic sources, thereby ensuring reliable and efficient grid integration. These findings highlight the potential of intelligent control systems in enabling the secure, stable, and long-term adoption of renewable energy within modern power grids

Gain Movie Insights Using Generative Artificial Intelligence

A television (TV) application may present various types of media content of interest to a user. The media content may have different formats such as streaming video and audio. The types of media content may include, but are not limited to, movies, television shows, live sporting events, news items, short form videos, and music. In addition, or in the alternative, a variety of media content providers may deliver various types of media content for viewing by the user. The TV application may deliver a customized viewing experience to a user that spans the diverse types of media content provided by the variety of media content providers. A limitation with current media consumption may involve difficulties in quickly grasping or recalling movie plot points, especially when joining the playing of a media content item that is in progress or when continuing to watch a media content item after taking a long break. In addition, though a recap summary may be generated, the language that the summary may be generated in may be limited to studio supported languages. The disclosed technology addresses these limitations by generating a localized recap summary of a media content item in any language. The disclosed technology generates the recap summary in any language by utilizing generative artificial intelligence (Gen AI) to process subtitles for the media content item, enabling dynamic generation of the summary up to the user\u27s current viewing point. The purpose of the disclosed technology is to offer on-demand, language-agnostic plot comprehension without disrupting the viewing flow for the media content item. Media consumption experiences of a user may also lack effective mechanisms for the user to gain context or detailed insights into ongoing media content, particularly when joining the viewing of a media content item that is plating or when seeking specific information about the media content item that is playing without interrupting the viewing experience of other users. The disclosed technology addresses the lack of effective mechanisms by using a generative artificial intelligence (Gen AI) model to provide real-time, context-aware insights for the media content item that are based on available subtitle data for the media content item. For example, a computing device of a user (e.g., a smartphone) may interact with interact with a media playback system (e.g., a television application running on a television) to transmit user queries and corresponding media timestamps to a server computer interfaced with the media playback system. The server computer may process the queries using the Gen AI model with the subtitle data for the media content item providing contextual input to the model. The disclosed technology can provide an interactive question-and-answer interface to the user that can provide summaries, character information, and/or explanations of complex scenes in the media content item that are accessible on a companion computing device of the user or that are displayed on a display device of the media playback system. The purpose of the disclosed technology is to enhance a user’s understanding and engagement with a media content item while viewing the media content item. The technology for providing media content for viewing by a user may lack the ability to leverage on-screen visual and audio context for responsive interaction of the user with the media content item while the user is viewing the media content item. The disclosed technology may extract information, such as image data or audio data, directly from a connected computing device that includes a display device or a speaker. A television application running on the connected computing device may provide the extracted information as contextual information in the form of a query to a generative artificial intelligence (GenAI) model. The television application using the Gen AI model may provide a context-aware interactive experience to the user that enables the user to pose questions related to content actively being displayed or played by the television application on the connected computing device, thereby offering more relevant and integrated responses to the user