Volume 12 | Issue 6 |

 Abstract

In the era of e-commerce, business enterprises have quite different features. In order to take full advantage of ecommerce, enterprises should carry out corresponding management innovations. Enterprise innovation management can help enterprises to achieve rapid development so as to win business opportunities, to get access to markets and obtain maximized profits. This study examines the new requirements on enterprise management in e-commerce era, including constantly updating thoughts of business management, flat organizational structure, management epitaxial expansion, Informa ionization of means of production and marketing, flexible production management. Evidence indicates that business process reengineering, organizational change, cultural transformation, knowledge management, creativity and communication management have strong influences on the enterprise development in terms of management and innovation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

e-business; enterprise management; innovation, Electronic Commerce

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Vehicle accidents often occur due to the sudden appearance of obstacles while driving. The varying response times of drivers can result in delayed braking or an inability to stop in time, leading to collisions. To address this issue, we propose an Autonomous Braking System (ABS) that utilizes advanced mechatronic technology The system uses an Ultrasonic wave emitter at the front of the vehicle to send out Ultrasonic waves. When these waves hit an obstacle, they bounce back and are detected by an Ultrasonic receiver. By analyzing these reflected signals, the system calculates the distance to the obstacle and adjusts the vehicle's speed accordingly through a microprocessor. In emergency situations, the microcontroller takes control and activates the braking system to apply the brakes quickly and effectively, enhancing safety. An important enhancement to this system is the integration of a Python-based application using Flask. This application can dynamically determine the location of an incident and communicate it to the nearest emergency services using real-time geographical data. This communication is facilitated through GSM technology, which sends alarm signals and the vehicle's GPS location to the appropriate authorities, ensuring a prompt response and assistance Additionally, the system can be expanded to include inter-vehicle communication capabilities. This feature allows cars to share information about their locations and speeds, improving road cooperation and awareness. This not only reduces collisions but also helps in creating smoother traffic flow. Overall, the Autonomous Braking System aims to improve road safety by reducing response times and stopping distances, thereby preventing accidents and significantly enhancing emergency response capabilities.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Autonomous Braking System, Emergency Braking, GSM Technology, GPS Location Tracking Ultrasonic Technology, Obstacle Detection

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Neurological and behavioral symptoms arising from medical conditions can significantly impact daily life due to their influence on brain structure and function. Early and accurate detection of these conditions is crucial, prompting significant interest in the application of computer-aided algorithms for diagnosis. Recent advancements in artificial intelligence (AI), particularly deep learning, offer novel solutions. Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) are being explored for their potential to analyze medical imaging data, such as Magnetic Resonance Imaging (MRI) scans, in the identification of these conditions. Deep learning algorithms demonstrate promising results with high accuracy. The accuracy rates for certain architectures, such as 18-layer CNN models, have been reported to exceed 98% in studies utilizing the powerful computer systems equipped with CUDA-enabled GPUs and large data sets of MRI scans from initiatives like Alzheimer's Disease Neuroimaging Initiative (ADNI). These results indicate that deep learning-based methods have the potential to improve and expedite medical diagnoses, paving the way for advancements in patient care.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Magnetic resonance imaging (MRI), Deep learning, Neurological disorder, ADNI, Artificial Intelligence

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Pharmaceutical analysis plays an outstanding conspicuous role in quality assurance similarly to internal control of bulk medication and pharmaceutical formulations. As a consequence, analytical methodology development has become the essential activity of study. New drug molecules are being developed and the analysis is also gaining equal importance. A huge survey was conducted for the determination of antidiabetic drugs including Vildagliptin, Sitagliptin, Metformin etc. from the research articles published in various pharmaceutical and analytical chemistry Journals. Nowadays, many antidiabetic drugs are available in tablet dosage forms. The present article focuses on the different analytical methods for the quantitative estimation of antidiabetic drug. The present paper accentuates the review of analytical methods including UV/Vis-Spectroscopy, HPLC, RP-HPLC, HPTLC, GC-MS, LC-MS etc. which involve the estimation of antidiabetic drug in pharmaceutical dosage form. The investigatory review may provide comprehensive details of various analytical techniques and their experimental condition to the researchers who are working in the area of analytical research of antidiabetic drugs. The present studies revealed that the gas chromatographic method combined with mass spectroscopy has specific advantages and sensitivity for antidiabetic drug analysis in pharmaceutical dosage form and biological matrices.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Antidiabetic drug, analytical method, RP-HPLC, GC-MS, LC-MS.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Brain abscess / intracranial abscess is a central nervous system disease caused by the infection from bacterial viral ,fungal etc. sources leading to a pus filled capsule inside the brain. It is a complicated and life threatening disease since currently there are no widely accepted neurosurgical management guidelines. Brain abscess has a high morbidity and mortality rate thus, the disease is currently a major public health problem. Majority of the pathogens are bacterial in nature eg -streptococcus , staphylococcus etc. In this study ,we have established some therapeutics against brain abscess using in silico network biology approaches. The selection of therapeutics and antibiotics depends on the microorganisms isolated from blood or CSF and their ability to cross the natural barriers of brain (BBB). The construction of network consisting genes associated with brain abscess were collected from different databases like malacard,genecard, and thorough literature study using cytoscape. The network consists of nodes representing genes and interactions between them. We identified two hub genes (STAT3 and IL6)from the network having highest degree and satisfying various parameters like MCC,MNC,stress etc. .We analyzed the role of target gene in brain abscess. A virtual library consisting of various antimicrobial compounds as ligands was made .Molecular Docking using auto dock vina1.5.6 version was done and through this study we found out promising therapeutics against brain abscess .In conclusion we found out the role of STAT3 and IL6 gene in brain abscess and established therapeutics against the causative agents . The docking simulations revealed several promising candidates with high binding affinity and favorable interaction patterns with the target proteins implicated in brain abscess pathophysiology. Furthermore, structural analysis of the ligand-receptor complexes provided insights into the molecular mechanisms of action and potential modes of inhibition for the identified compounds. Our findings highlight the potential of computational docking techniques in accelerating the discovery and development of novel therapeutics for brain abscess treatment. Future experimental validation of the identified lead compounds is warranted to confirm their efficacy, selectivity, and safety profiles in preclinical and clinical settings. Overall, this computational study contributes to the ongoing efforts to combat brain abscesses and improve patient outcomes through the rational design of targeted pharmacological interventions.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

BBB,network construction,virtual library,docking,stat3 gene ,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Customary law constitutes a prominent part of the culture, especially in North East India ie the tribal society. There is also an interesting interest in the customary law of tribal societies. Customary Laws are the customs, traditional practices, and rules followed by the tribal society from time immemorial. It reflects and represents the distinct a unique features of a tribe because customary law differs from tribe to tribe. If we investigate the definition of customary law there is no accepted definition, Customary laws include principles or values rules, and code of conduct, and established economic practices. They are enforced by community institutions and can have sanctions attached. They are locally recognized. Orally held, adaptable, and evolving (Swiderska,2009). The present paper aims to study the customary laws relating to women's inheritance and marriage in the Lotha tribe in Nagaland. The primary source was collected through the interview method and for secondary source it was relied on studies that were conducted on similar papers relating to tribal areas. The Lotha society is patriarchal and patrilineal so according to Customary law dealing with property rights in traditional Lotha society it was the son who inherits the immovable property. Women had less say when it came to property inheritance. The daughters have no share in it. In the absence of sons to inherit the father's property, then the properties are divided among the father's immediate relatives. All properties are exclusively inheritable, both movable and immovable goods, according to the Lotha custom. Women can purchase any property by using the money given by their parents or self-earned money. Yet her sons can only inherit those properties. In no case or condition, these properties can be diverted back to her parents or to their family members. (Athungo,2015:140) Equality and equal treatment of genders have become universally accepted norms. The women's rights movement has gone through a long struggle to achieve this recognition. More efforts are needed to ensure the proper implementation of equality and equal treatment of genders. There is a question of whether customary law relating to gender should be discarded and given up in order to achieve gender equality.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Customary, Women, Inheritance, Marriage, Lotha

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This is a review paper on 3D printing and the various regulations. used in 3D printing and various techniques, applications in pharmaceutical technology and also advantages or disadvantages. The 3D printing techniques suitable for pharmaceutical manufacturing and also their applications to the development of drug dosage forms. 3D printing is platform technologies in which complex products are developed with a smaller number of additives the recent years have seen an increasing interest in applying BD printing technology to the pharmaceutical manufacturing of the drug products. However, 3D printing technology exhibits many potential medical and economic benefits, there are also Game technical and regulatory challenges restricting the wide applications of 3D printing technology to pharmaceutical products. The present review paper 'mainly focused on the regulatory issues in pharmaceutical technology.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

3d Printing Technology In Medical Field, Stereolithography (SLA), Fused Deposition Modelling (FDM), Selective Laser Sintering (SLS), Digital Light Process (DLP), Multi Jet Fusion (MJF), Polyjet, Direct Metal Laser Sintering (DMLS), Electron Beam Melting (EBM)

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper introduces a unique project--an innovative music recommendation system solely based on the sound content of songs. Unlike traditional recommendation systems, our approach explores the mathematical representation of timbre, rhythm, and style in the sonic landscape.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fourier Series, Mel spectrogram

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Background The Trigonella foenum-graecum plant is also known as methi and used in Ayurvedic medicines for the treatment of bronchitis, rheumatoid arthritis, abscesses and digestive abnormalities. The review article has been made for the standardization and phytochemical evaluation of Fenugreek seeds and this one is comprises of powder microscopy, fluorescence analysis. In modern food technology Fenugreek is used as food stabilizer, adhesive and emulsifying factor because of its gum, protein and fiber content. It is a rich source of calcium, iron and other vitamins. In this study after a general discussion of physio-chemical constituents, the biological and pharmacological reactions of Fenugreek. And to investigate the anti- inflammatory activity of suitable gel formulation. Method The polyherbal gel formulation was designed by using Carbopol 934, Sodium CMC, Trigonella foenum-graecum, Fenugreek extract, Ethanol, propylene glycol 400, methyl paraben, propyl paraben, and required amount of distilled water. The skin pH (6.8-7) was maintained by drop wise addition of tri- ethanolamine. The prepared polyherbal gels were evaluated for physical appearance, pH, spreadability, skin irritation to observe side effect. It was inferred from the results that polyherbal gel formulations were good in appearance and homogeneity. The overall result of this research the prepared poly herbal gel formulation shows significant anti-inflammatory activity. Results Gels were prepared using carbopol-934, HPMC K4M individually as well as in combination as gelling agents. Prepared formulations were evaluated for various physicochemical properties. The topical gel prepared from mixture carbopol-934 and HPMC K4M will be better gelling agent for making an ideal topical preparation. F1 batch shows the good results than other batches so F1 batch is suitable for anti- inflammatory use. The prepared formulation was evaluated various parameters. All of the evaluation tests were passed by the formulation. Conclusion Fenugreek has high potential as an anti-inflammatory agent when formulated as an herbal gel for topical use and can be effective in acute inflammatory disorders. The main purpose of this study was to formulate a stable and functionally effective anti- inflammatory gel with addition herbs with synthetic chemicals. The present study showed that the fenugreek gel possesses higher anti-inflammatory properties when compared with standard diclofenac sodium/Ibuprofen.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KEYWORDS Fenugreek seeds, Gels, Ethanolic extract, Carbopol934, Anti-inflammatory activity.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The advent of online food delivery apps has revolutionized the way consumers order and enjoy food. This study aims to investigate the factors influencing consumer preferences towards online food delivery apps. A mixed-method approach was employed, including surveys and data analysis, to gather insights from a sample of 123 consumers. The results indicate that the most significant factors influencing consumer preferences are pricing, food quality, delivery time, and app interface. Consumers prioritize convenience and variety when choosing a food delivery app, with a strong preference for apps that offer fast delivery and a user-friendly interface. Furthermore, the study found that consumers are increasingly concerned about food safety and hygiene, with many expressing a preference for apps that prioritize these aspects. The findings suggest that food delivery companies can enhance their services by focusing on these key factors and tailoring their offerings to meet consumer expectations. Overall, this study provides valuable insights into consumer preferences towards online food delivery apps, offering practical implications for businesses looking to improve their market position. By understanding what drives consumer preferences, companies can develop strategies to attract and retain customers in this competitive landscape.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Food delivery app, customer preference, Zomato, swiggy

  License

Creative Commons Attribution 4.0 and The Open Definition