Important Bits Research Articles

Marketing Communications Strategy In The Process Of Commercialization Of Innovative Products Start-Up Company "Mobilmantan.id”

The start-up company mobilmantan.id’s marketing communications strategy for bringing innovative products to market is the subject of this study. The company wants to effectively engage investors, and customers, and conduct market research by utilizing channels like crowdsourcing, pitching, networking, and social media. The research employs a literature review method with a qualitative approach to explore the complexities of innovation commercialization, which involves transforming innovations into marketable products through substantial financial investment and risk. Drawing from a comprehensive analysis of 194 articles across 62 journals, a framework outlining the innovation commercialization process has been developed, highlighting three main phases: discovery, development, and implementation. Analyzing the company's approach to marketing communications and its effect on the commercialization process were the initial methods. According to the findings, using digital channels and third-party collaborations significantly increased sales and customer engagement. Throughout the process, difficulties like establishing credibility, acquiring patents, and running out of funds were identified and addressed. The study concludes that during the commercialization process, effective marketing communications are crucial in increasing product awareness and sales. While impediments in example size and generalizability exist, the exploration offers important bits of knowledge for new businesses exploring the intricacies of development commercialization.

Germination Predication to Access the Quality of Grains for Different Crops Using IoT and Machine Learning

The paper expounds on a advanced framework that consistently blends Counterfeit Insights (AI) and Web of Things (IoT) innovations to figure seed germination in rural settings. It underscores the noteworthiness of leveraging real-time information sourced from soil sensors nearby cutting-edge machine learning calculations to supply important bits of knowledge into the designs of edit germination. This imaginative framework is made with the essential objective of preparing ranchers with opportune and significant data, subsequently encouraging educated decision-making forms relating to water system procedures and asset assignment. Central to the system's engineering is its versatility, encouraged by a cloud-based stage that empowers consistent development and adjustment to shifting rural necessities. This guarantees not as it were the productive investigation of sensor- derived information but moreover permits for the customization of the system's highlights to suit the different needs of diverse rural settings. Subsequently, the system's flexibility loans itself to optimizing yields and cultivating feasible nourishment generation hones, subsequently contributing to the overarching objective of guaranteeing nourishment security and natural stewardship. Keywords— Smart System, Seed Germination Prediction, AI and IoT Integration, Agriculture, Machine Learning Models, Real-time Data, Crop Management, Scalable Cloud Platform, Customizable Design, Sustainable Food Production.

Driving in Cars with Noise

Driving in Cars with Noise

Transfer Learning for Object Detection in Remote Sensing Images with YOLO

This investigation explores exchange learning methodologies for protest locations in inaccessible detecting pictures utilizing the YOLO design. Four unmistakable exchange learning calculations, specifically YOLO Fine-Tuning, Highlight Extraction, Space Versatile Preparing, and Knowledge Distillation are investigated and assessed on an assorted dataset. The tests illustrate noteworthy advancements in location execution, with YOLO Fine-Tuning accomplishing an exactness of 0.85, review of 0.78, F1 score of 0.81, and mean average precision (mAP) of 0.75. Highlight Extraction grandstands competitive comes about, with an accuracy of 0.87, a review of 0.80, an F1 score of 0.83, and a mAP of 0.78. Domain Adaptive Training exhibits predominant execution, accomplishing an exactness of 0.89, review of 0.82, F1 score of 0.85, and mAP of 0.80. Information Refining yields promising results, with a precision of 0.88, review of 0.81, F1 score of 0.84, and mAP of 0.79. These discoveries highlight the viability of exchange learning algorithms in upgrading the adaptability and precision of YOLO for protest locations in diverse inaccessible detecting scenarios. The study contributes important bits of knowledge to the field of further detecting, emphasizing the viable appropriateness of tailored exchange learning techniques for real-world applications.

Recurrent Neural Networks for Image Captioning: A Case Study with LSTM

This research investigates the viability of Long Short-Term Memory (LSTM) systems, a subtype of Recurrent Neural Networks (RNNs), for picture captioning. Leveraging the MS COCO dataset, the study compares the execution of LSTM-based RNNs with Vanilla RNN, Gated Recurrent Unit (GRU), consideration components, and transformer-based models. Experimental comes about to illustrate that the LSTM-based RNN shows competitive execution, accomplishing a BLEU-4 score of 0.72, a METEOR score of 0.68, and a CIDEr score of 2.1. The comparative investigation uncovers its prevalence over Vanilla RNN and GRU, highlighting its capability to capture long-range conditions inside successive picture information. Moreover, the study investigates the effect of consideration instruments and transformer designs, exhibiting their potential improvements in the context-aware caption era. The transformer-based show outflanks all other models, accomplishing a BLEU-4 score of 0.78, a METEOR score of 0.72, and a CIDEr score of 2.5. The findings give important bits of knowledge toward the creating scene of picture captioning strategy, which makes LSTM-based RNNs solid and productive approaches for capturing worldly groupings in visual substance. In achieving these, the study provides a framework for future developments in hybrid models and manufacturing processes that push boundaries of smart image perception and understanding

Implementasi Sistem Bagi Hasil Pada Bank Rakyat Indonesia (Bri) Syariah Di Kota Bandar

This study plans to look at the execution of the benefit-sharing framework at Bank Rakyat Indonesia (BRI) Syariah in Bandar Lampung City. The quick advancement of Islamic banking, particularly in correlation with regular banking, shows the high open revenue in monetary foundations that consent to Islamic sharia standards. This exploration utilizes a subjective methodology with interview strategies and writing studies, zeroing in on the utilization of the mutlaqah mudharabah contract for Hajj travel costs. Information examination includes data from Bank BRI Syariah Bandar Lampung Branch and considers factors, for example, BI Rate, bank benefit, bank FDR, and economic situations. The outcomes showed that the benefit-sharing framework at Bank BRI Syariah Bandar Lampung Branch depends on income sharing, whereas benefit sharing depends on all-out income before deducting costs. Bank BRI Syariah sets a base equilibrium standard, and the benefit sharing is changed by the equilibrium. Albeit the benefit-sharing framework enjoys benefits in decency and consistency with sharia standards, the elevated degree of chance in mudharabah and musyarakah support is one of the principal impediments. This examination creates a top-to-bottom comprehension of the execution of the benefit-sharing framework at Bank BRI Syariah, as well as the difficulties and strategies looked at in carrying out Islamic sharia standards in its financial exercises. The discoveries of this exploration give important bits of knowledge to other Islamic monetary establishments and related gatherings to work on the viability and manageability of the Islamic plan of action in Indonesia.

CRGAN-based turbo code interleaver for underwater acoustic communications

This paper proposes a channel response generative adversarial network (CRGAN)-based turbo code interleaver that estimates a channel response and interleaver indices at a transmitter by using a sound speed profile (SSP) and the ocean environments without feedback from a receiver. The interleaver indices are designed to allocate important bits from the turbo code to subcarriers with great channel gains, which reduces them from being affected by deep fading. Computer simulations and practical ocean experiments demonstrate that the proposed method estimates the channel response with low mean squared errors (MSEs) and improves bit error rate (BER) performances compared with the conventional method.

Analysis and features of the development of event tourism in Kazakhstan

This article dives into the examination and highlights characterizing the burgeoning scene of event tourism in Kazakhstan. As the country grasps its part as a key player within the worldwide tourism industry, understanding the elements of event tourism gets to be vital. Through a fastidious examination of different aspects, counting social occasions, celebrations, sports competitions, this ponder discloses the multifaceted nature of Kazakhstan's event tourism division. Drawing upon analytical information and subjective experiences, the article investigates the variables driving the growth of event tourism within the nation, such as administrative activities, infrastructural improvements. Moreover, it examines the challenges and openings going up against partners, extending from event organizers and neighborhood communities to policymakers and sightseers. By synthesizing different viewpoints, this inquiries about contributes to a nuanced understanding of the improvement direction of event tourism in Kazakhstan, advertising important bits of knowledge for partners to harness its full potential and cultivate economic development within the segment

Evaluation of In vitro and Ex vivo Models for Studying the Effectiveness of Vaginal Drug Systems in Controlling Microbe Infections: A Systematic Review

The survey gives an in-depth examination of medicate assimilation challenges within the genital range and the improvement of vaginal medicate conveyance gadgets to overcome these challenges. It investigates the components involved in medicate discharge within the genital locale and examines commonly utilized vaginal sedate conveyance frameworks such as nanoparticles and hydrogels. The survey centers on the applications of these conveyance frameworks in controlling bacterial vaginal diseases. The plan issues related to vaginal sedate conveyance gadgets are moreover examined, highlighting the significance of considering variables such as mucoadhesion and bodily fluid porousness. The survey portrays different in vitro and ex vivo models utilized for assessing these frameworks, counting organoids and new human cervical bodily fluid. The choice of show depends on the particular objectives and characteristics of the definition. The audit emphasizes the noteworthiness of utilizing these models to pick up important bits of knowledge and make precise forecasts with respect to the execution of medicate conveyance frameworks in vivo. Moreover, grandstands progressed models utilized for other mucosal locales as a potential motivation for future models of the female regenerative framework. Generally, the audit highlights the significance of understanding organic instruments and planning compelling vaginal drug conveyance frameworks to progress sedate conveyance within the genital region. It emphasizes the require for suitable models to evaluate and anticipate the execution of these conveyance frameworks.

Corporate Overseeing in Worldwide Organisations

This examination paper inspects the idea of corporate administration inside the setting of global partnerships (MNCs). Corporate administration assumes a basic part in forming the dynamic cycles, responsibility, and generally execution of MNCs working in complex worldwide conditions. The paper gives an outline of corporate administration standards, investigates the extraordinary difficulties looked by MNCs, and examinations the instruments utilized to guarantee compelling administration. It additionally features the meaning of moral contemplations and the job of partners in forming corporate administration rehearses inside MNCs. By drawing on experimental examinations, case investigations, and academic writing, this paper offers important bits of knowledge into the intricacies and best practices related with corporate administration in MNCs.

Board meeting minutes only helpful if done right, experts say

Nonprofit board meeting minutes serve a very important purpose, experts say, by providing an accurate picture of what transpired during the meeting—what was said or discussed by the board; what was voted on, and the result; and myriad other important tasks and bits of information that are brought to light and discussed during a board meeting.

Encrypting security for virtualized environments in big data storage with generalized anonymization strategies

Big data security has grown in importance as a result of its strong correlation to users. Because big data contains individually identifying information, it poses a considerable safety issue. To protect personal information, data confidentiality is commonly employed in non-interactive information sharing and transmission settings. This entails hiding identifiable and confidential material from the owners of acquired data.Anonymization is a computational technology that eliminates or alters personal identifying details, resulting in anonymous data which cannot be linked to every single citizen. The anonymization method enables the release of knowledge, allowing for study and assurance. Privacy protection protects sensitive data from a range of threats. Utilizing data encryption and data anonymization is indeed the method of making modifications to the information to be utilised or used in a method which will avoid pertinent data from being identified. Several organisations make data available anonymously to the general public. Employing data anonymization, important bits of private information are masked in order to protect private information.Anonymous data may be stored and accessed in the cloud without fear of being intercepted by others. Anonymization protects against data abuse and insider exploit hazards that lead to regulatory compliance loss.

Customer perception towards the over the top (OTT) platforms

The research was conducted to examine the perception of customers about the Online video content streaming platforms also known as Over the Top (OTT) platforms. Online users are increasingly accessing live broadcasts, as well as recorded video content and digital music services through the internet and mobile devices. Therefore, media and entertainment businesses may consider other variables when they explore their viewers profiles and their consumption behaviors. This research explores the consumers’ perceptions toward online streaming technologies and sheds light on their motivations to use them. Most OTT providers have a specific application, website, or page where a user can sign up for a subscription to access the particular benefits. All media content is transmitted via the Internet during the broadcast through OTT, without the operator's involvement. India has seen a massive increase in video content consumption on various platforms in recent years. This article examines the perception of consumers and the factors affecting people's preferences to use OTT platforms. By providing a well-furnished questionnaire, our respondents filled them and with the details different analyses are done. After considering the analysis results, the conclusion is drawn according to value. This study provides an apparent research knowledge to the readers. By and large, the examination gives important bits of knowledge for working on web sustenance-requesting administrations effectively.

The Lead Tablet from Tongres: Curse or amulet?

The editors of the lead tablet recently excavated in Tongres conclude that it was a curse tablet, primarily because of its lead medium and because all four of the later, but similarly designed tablets, are or seem to be curses. In this essay, however, I argue that the Tongres tablet was, in fact, an amulet for a house or a workshop. The archaeology provides three important bits of evidence, because the tablet was nailed up on a wall, exposed to the open air for a good deal of time and displayed in a commercial or domestic context possibly in the midst of wooden buildings. I further my argument by discussing three issues unaddressed by the editio princeps: (i) the shared syntax of three of the five tablets, which ask a deity to “give” or “grant” some abstract quality to a person or persons, a popular request on amulets, but not on curses; (ii) the importance of two underappreciated parallels to the Tongres tablet (a second-century lead disk from Bordighera and a drawing in a papyrus recipe for a tin amulet); and (iii) the shape of a shrine or aediculum at the very center of the design, which points to a Greek tradition of house amulets in the shape of little shrines.

Polar-UEP spinal concatenated encoding in free-space optical communication.

Aiming at the poor bit error rate (BER) performance of spinal code in free-space optical communication, a polar-UEP (unequal error protection) spinal concatenated coding scheme for free-space optical communication is proposed. This work combines the unequal error protection characteristics of spinal codes and the construction characteristics of polar codes, using bit sorting and interleaving, to give the best protection of the polar code's information bits, and the bits that are prone to error. Simulation results show that the bit error rate performance of the more important bits and the less important bits of the polar-UEP spinal concatenated code is better than that of the spinal code. When the turbulence intensity is 0.1, compared with the fixed rate coding scheme such as the polar code, the concatenated code generates 0.7 dB-1.2 dB gain at a BER of 10-4. Besides, its BER under different turbulence intensity is lower than that of the spinal code and polar code, and this provides a solution for the efficient application of the spinal code in free-space optical communication.

Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design.

Structural fingerprints and pharmacophore modeling are methodologies that have been used for at least 2 decades in various fields of cheminformatics, from similarity searching to machine learning (ML). Advances in in silico techniques consequently led to combining both these methodologies into a new approach known as the pharmacophore fingerprint. Herein, we propose a high-resolution, pharmacophore fingerprint called Pharmacoprint that encodes the presence, types, and relationships between pharmacophore features of a molecule. Pharmacoprint was evaluated in classification experiments by using ML algorithms (logistic regression, support vector machines, linear support vector machines, and neural networks) and outperformed other popular molecular fingerprints (i.e., ECFP4, Estate, MACCS, PubChem, Substructure, Klekota-Roth, CDK, Extended, and GraphOnly) and the ChemAxon pharmacophoric features fingerprint. Pharmacoprint consisted of 39 973 bits; several methods were applied for dimensionality reduction, and the best algorithm not only reduced the length of the bit string but also improved the efficiency of the ML tests. Further optimization allowed us to define the best parameter settings for using Pharmacoprint in discrimination tests and for maximizing statistical parameters. Finally, Pharmacoprint generated for three-dimensional (3D) structures with defined hydrogens as input data was applied to neural networks with a supervised autoencoder for selecting the most important bits and allowed us to maximize the Matthews correlation coefficient up to 0.962. The results show the potential of Pharmacoprint as a new, perspective tool for computer-aided drug design.

Fifty years of Australia’s department of foreign affairs: from External to Foreign

ABSTRACT In its 50 years, Australia’s Department of Foreign Affairs (and later Department of Foreign Affairs and Trade) has become a great department of state. Foreign is an important conglomerate, doing diplomacy, trade, aid, and spying. In the Canberra system, though, Foreign has an ‘anaemia’ problem caused by chronic underfunding. Measured as a proportion of the Commonwealth budget, spending on diplomacy is halving in only three decades. Anaemia is the effect; the causes are a formidable set of forces pressing against the department over those 50 years: the evolution and empowerment of Australia’s presidential prime minister; the birth of ministerial minders; public service managerialism; Canberra’s national security system—and mindset—in the twenty-first century; globalisation and the digital era: every government department has its own bit of foreign policy; political choices: Australia’s two parties of government— Liberal and Labor—often buy something other than good foreign policy. Plus, important bits of the Liberal Party see DFAT as ideologically tainted.

A Comparative Study of Image Steganography Based on Edge Detection

Information security has become the main concern of the most famous researchers and the focus of their attention, as they are constantly trying to find the best and safest ways to transfer information through a secure tunnel to protect it from hacking attempts and common attacks on the Internet and in this research, we tried to embody one of the methods of security in protecting data. In this study, a new approach to masking information based on the incorporation of LSB replacement mechanism and edge detection is proposed. To avoid HVS mining when more covert bits are included in pixels, we classify cover pixels into edge regions and non-edge regions. Then, the pixels belonging to the edge region are used to transmit more secret bits. In addition, to increase the load as well as maintain good image quality, we adopt a clever method in which the edge information is identified by the most important bits (MSBs) of the cover image so that it does not need to be stored. At the extraction stage, the same edge information is obtained. Therefore, confidential data can be extracted correctly without confusion. Experimental results prove that our scheme achieves a much higher payload and better optical quality than that of the latest technology.

Patterns of injury among assault victims presenting at the accident service Colombo South Teaching Hospital (CSTH)

Introduction: Injury patterns and the interpretation of injuries in assault victims are important bits of data that needs to be collected in an emergency department with a view of achieving two main goals. This includes, data for treatment purpose and a medico-legal workup. The objectives of this study are to describe the demographic data of the victims, the mechanism responsible for the injury, the regions of the body involved and the usage of intoxicants. Method: The study was a retrospective cross-sectional study conducted at the accident service CSTH where 170 assault-injured respondents participated. Results: The total sample of 170 assault-injured respondents, 128 (75.3%) were males. 49 (28.9%) of them belonged to the age group of 20-29 years. As per the legal classification; grievous hurt was identified among 55 (32.4%) victims. Blunt trauma occurred in 80 (47.06%). 76 (45.2%) were assaults involving the head, neck or face region. Most of these were superficial injuries. Majority of admissions following assaults occurred among young males, who were mostly victimized at night during weekends (Saturdays and Sundays). The assailants were friends or young acquaintances while they were under the influence of alcohol. Conclusion: Implementing counselling programs, targeting vulnerable groups which includes the intoxicated young male population who are responsible for conflicts, especially during weekend nights. Encouraging gender equality to prevent home violence against women, these steps could be recommended to reduce the number of assault victims.

Advanced optimization of gas turbine aero-engine transient performance using linkage-learning genetic algorithm: Part I, building blocks detection and optimization in runway

This paper proposes a Linkage Learning Genetic Algorithm (LLGA) based on the messy Genetic Algorithm (mGA) to optimize the Min-Max fuel controller performance in Gas Turbine Engine (GTE). For this purpose, a GTE fuel controller Simulink model based on the Min-Max selection strategy is firstly built. Then, the objective function that considers both performance indices (response time and fuel consumption) and penalty items (fluctuation, tracking error, overspeed and acceleration/deceleration) is established to quantify the controller performance. Next, the task to optimize the fuel controller is converted to find the optimization gains combination that could minimize the objective function while satisfying constraints and limitations. In order to reduce the optimization time and to avoid trapping in the local optimums, two kinds of building block detection methods including lower fitness value method and bigger fitness value change method are proposed to determine the most important bits which have more contribution on fitness value of the chromosomes. Then the procedures to apply LLGA in controller gains tuning are specified stepwise and the optimization results in runway condition are depicted subsequently. Finally, the comparison is made between the LLGA and the simple GA in GTE controller optimization to confirm the effectiveness of the proposed approach. The results show that the LLGA method can get better solution than simple GA within the same iterations or optimization time. The extension applications of the LLGA method in other flight conditions and the complete flight mission simulation will be carried out in part II.