Organizational Options Research Articles

Management of acute postoperative pain: Conditions to guarantee the safety and effectiveness of analgesic treatments

The evidence on postoperative pain management is of low or insufficient quality. The SEDAR Acute Pain Working Group has prepared this guideline-document to apply the best available scientific evidence to clinical practice, individualizing it based on factors specific to the patient and the procedure, and encompassing different organizational options, attempting to individualize it based on specific factors of the patient and the procedure, and encompassing the different organizational options for pain control.The document updates concepts and minimum requirements necessary for optimal postoperative analgesia, a multidisciplinary approach and the management of Acute Postoperative Pain. Strategic lines and different management models are defined. A general perioperative action plan is established based on collaboration with the surgical departments involved, on the joint review of the evidence and on preparation of protocols by the procedure. Finally, a follow-up plan and a series of minimum indicators necessary for quality control of postoperative pain are presented.

Potential vs Realized Organizational Option Value and the Flexibility Paradox

Potential vs Realized Organizational Option Value and the Flexibility Paradox

Exploring farmers’ perspectives on agrobiodiversity management: future options for quinoa smallholder organizations in the Peruvian high Andes

The intensification of crop production is widely recognized to negatively affect the agrobiodiversity in smallholder systems. This trend can also be observed in Quinoa production systems, where few varieties are commercialized while maintaining traditional varieties of quinoa remains a key agricultural activity in the high-Andes landscape. In recent decades, the “boom” of quinoa production has given rise to national projects intended to ensure that farmers benefit from their agricultural heritage, including the development of a collective trademark. However, little is known about the opinions of smallholder farmers regarding quinoa varieties cultivation, farming practices, market choices, or the development of a collective trademark as a tool to safeguard a position in the booming international quinoa market. To address these questions, we developed our research in three villages in the Puno region of Peru, quinoa’s center of origin. We applied a novel combination of participatory methods: the Q methodology to interpret the perceptions of smallholder quinoa farmers concerning the activities that are important on their farms, and the Four-Square Analysis workshops to explore quinoa biodiversity management. The results of our Q-analysis revealed three types of opinions emerging among farmers: (Type 1) Conservationist, (Type 2) Intensification sustainer, and (Type 3) Collaboration seeker. Type 1 assigns importance to maintaining and promoting quinoa biodiversity through collective practices and markets. Type 2 focuses on developing export-oriented production based on certified and improved varieties, combined with efficient ways of storing quinoa. Type 3 appears to value the collective aspects of organizations and cooperation among stakeholders. According to the results of the Four-Square Analysis, most landraces of quinoa are threatened by genetic erosion, as they are cultivated in situ in small plots and on few farms. Our results are an important baseline for further project development for biodiversity conservation in situ and market inclusion engaging local communities.

Design of displacement ventilation system in museum premises

In museum premises located in architectural monuments, an important issue is ensuring the regulatory parameters of the air environment. And the method of organizing air exchange in exhibition and exposition halls. In such buildings, it is impossible to conduct air ducts, therefore existing ducts from fireplaces and natural exhaust ducts are used. The article discussed the National Center of Folk Culture "Ivan Honchar Museum". In a series of field studies, the average air temperature in the room was within twz = 20 °С, and the relative humidity was φwz = 55-60 % in the exhibition halls. two options for organizing air exchange. A three-dimensional model was created for the study of air exchange and air flow between halls, and air movement was simulated in two variants for rooms No. 40, 47 and 48. Taking into account the field studies and mathematical modeling of air exchange organization options, a project for the modernization of ventilation and air conditioning systems was proposed.

Анализ видеокодека VP9, применяемого в мультипротокольной платформе Jitsi

Jitsi is an open-source video conferencing platform that utilizes WebRTC technology to provide secure, high-quality communication for businesses and individuals alike. Jitsi’s commitment to open-source software ensures that the platform is constantly evolving to meet the changing needs of its users. Jitsi offers a range of features that make it an attractive option for remote communication, including end-to-end encryption, screen sharing, virtual backgrounds, and a chat feature. Participants can also be easily managed, with the ability to add, remove, and mute attendees as needed. One of Jitsi’s most significant advantages is its ease of use – participants can join meetings without the need for an account or an app, making it an ideal option for one-time meetings or for those who do not want to install additional software. Custom branding options also allow organizations to personalize the platform to reflect their own branding. In addition to its user-friendly design and advanced security features, Jitsi supports recording and live streaming, making it an excellent option for webinars, online classes and virtual events. The platform is also cross-platform compatible, with support for Windows, Mac, Linux, Android, and iOS, ensuring that anyone can participate in meetings regardless of their device. With its commitment to open-source software, advanced security features, and robust functionality, Jitsi is an excellent choice for those looking for a powerful, user-friendly video conferencing platform. Its ability to support large meetings with hundreds of participants makes it an ideal option for businesses and organizations of all sizes.

ПРЕДПОСЫЛКИ ИМИТАЦИОННОГО МОДЕЛИРОВАНИЯ ПРОЦЕССОВ ОРГАНИЗАЦИИ РАБОТ ПО ТО И РЕМОНТУ АВТОМОБИЛЕЙ В АТП ОБЩЕГО ПОЛЬЗОВАНИЯ С ПОДКЛЮЧЕНИЕМ СПЕЦИАЛИЗИРОВАННЫХ ПРЕДПРИЯТИЙ АВТОСЕРВИСА

The modern tasks of organizing the maintenance and repair of ambulances, based on the cooperation of their implementation in motor transport organizations (ATP) and car service enterprises, are considered. Based on a preliminary analysis, research options for the rational or-ganization of such processes based on the application of statistical simulation methods tied to real operation are formulated.

Riskier Business: How Consumer Perceptions of Corporate Political Advocacy Have Evolved

Historically, companies have largely avoided taking sides on political issues due to their risky polarizing nature and focused their efforts on business operations and controlling what impacts the bottom line. However, in the past decade companies have increasingly taken very public stances on politically charged social issues, referred to as corporate political advocacy (CPA). With the increasingly polarized political nature of the population coupled with consumers’ desire for organizations to help drive social change, abstaining from CPA is becoming less of an option for organizations. The purpose of this research is to investigate how consumer perceptions of CPA have changed and which social issues have the strongest influence on consumers’ purchasing decisions. Using comparative analyses from two datasets collected nearly 10 years apart, we find that CPA has had an increasingly significant impact on consumer purchase decisions but mostly when an organization takes a stand on a social issue consumers care about. The data revealed that COVID-19 and healthcare are the most influential social issues currently impacting consumer perceptions.

An Examination of the Blockchain Technology: Challenges and Future Opportunities

One of the most recent technological developments, block chain technology has the potential to help a lot of organizations. In order to give readers a better understanding of what block chain technology is and how it works, this paper's main goal is to give an overview of it. The questions that should be asked to determine whether Block chain Technology is the best option for organizations are included in another section of this paper. This section will also provide a summary of how Block chain Technology can benefit businesses. The discussion that follows demonstrates how various industries are currently mastering the technology in order to dominate their fields. This essay will also look at the findings of a study that was done to gauge public awareness of block chain technology.

The sound of responsibility: evolution of the use of radio advertising as a corporate social responsibility (CSR) communication channel before and after Covid-19. A significant increase

Radio is an audio communication medium that has always stood out for its credibility and close relationship to its audience, which makes it an appealing option for organizations that want to make their responsible behavior known. The Covid-19 pandemic has created a new landscape in which the strategic role of corporate social responsibility (CSR) in the company has been strengthened and in which advertising messages are proving to be an interesting way of disseminating organizations’ responsible actions. Based on the quantitative content analysis of 562 radio advertisements taken from the three principal mainstream Spanish radio broadcasters and collected 2 years apart (2019 and 2021), this study seeks to find out whether the Covid-19 health crisis has led to changes in the use of radio advertising as a vehicle for communicating organizations’ CSR. To this end, the variables analyzed were the presence of CSR elements, advertiser, economic sector, CSR dimensions, beneficiary stakeholders, and communication area. The results show, among other data, that the communication of CSR through radio advertising has experienced significant growth after overcoming the worst moments of the pandemic. This growth indicates that companies are increasingly sensitive to issues related to CSR and that radio advertising has provided them with a way to publicize their socially responsible actions. It seems that corporations understand that credibility, trust, and a not inconsiderable penetration rate encourage the circulation of their CSR campaigns through the medium of radio.

Evaluation of the Performance of Tightly Coupled Parallel Solvers and MPI Communications in IaaS From the Public Cloud

IaaS from the public cloud is becoming a new option for organizations in need of HPC capabilities. IaaS offers greater flexibility in hardware choices and operational costs. Furthermore, IaaS enables small organizations to access resources previously reserved for organizations with larger capitals. This article uses the HPCG benchmark to assess the performance of parallel solvers, which are critical in computational engineering, and microbenchmarks to measure collective MPI operations. The benchmarks encompass IaaS from five cloud vendors (AWS, Google Cloud Platform, Azure, Oracle CIoud Infrastructure, and Packet), and two architectures, ARM and x86_64. The benchmarks cover clusters with up to 4500 cores and illustrate the benefits of higher network bandwidth when scaling up clusters. The results for some of the clusters are particularly promising as they exhibit good scalability and compare well to on-premises supercomputers. Additionally, the study includes a preliminary cost estimate based on on-demand prices for IaaS computational power and memory.

Методика оценки целесообразности назначения мультимодальной пассажирской перевозки

Purpose: To study the impact of multimodal transportations on long-distance passenger transportations at the landfill of “FPC” Ltd. since in modern realities, train traffic planning without taking into account passenger demand can reduce railway competitive advantages in the market of transport mixed kind transportation and in the future, can lead to passenger dissatisfaction. To show the importance of making traffic schedule in accordance with passenger demand. To consider the matter on necessity of the supplement of existing approaches to multimodal route selection and on possibility to apply a regression model to forecast passenger flows. To pursue the testing of the developed methodology on the example of particular multimodal route. Methods: Comparison of existing approaches to multimodal transportation organization and their complement. Methods of mathematical statistics for passenger traffic flow forecasting. Results: The influence of multimodal transportations on long-distance passenger transportations at “FPC” Ltd landfill is considered. The criteria of multimodal transportation are defined. The methodology for feasibility assessment of multimodal route organization is proposed that allows estimating expected profit from transportation organization as well as predicting transportation impact on transportation process indicators. Practical importance: The recommendations and approaches proposed in the developed by the author methodology can be used for multimodal route development. The developed algorithm makes it possible to assess the prospects for passenger traffic change and allows yet at the preliminary selection stage for multimodal transportation organization options to perform a preliminary analysis of this organization economic feasibility.

Addressing the Effectiveness of DDoS-Attack Detection Methods Based on the Clustering Method Using an Ensemble Method

The curse of dimensionality, due to lots of network-traffic attributes, has a negative impact on machine learning algorithms in detecting distributed denial of service (DDoS) attacks. This study investigated whether adding the filter and wrapper methods, preceded by combined clustering algorithms using the Vote classifier method, was effective in lowering the false-positive rates of DDoS-attack detection methods. We examined this process to address the curse of dimensionality of machine learning algorithms in detecting DDoS attacks. The results of this study, using ANOVA statistical analyses, showed that incorporating the wrapper method had superior performance in comparison with the filter and clustering methods. IT professionals aim at incorporating effective DDoS-attack detection methods to detect attacks. Therefore, the contribution of this study is that incorporating the wrapper method is the most suitable option for organizations to detect attacks as illustrated in this study. Subsequently, IT professionals could incorporate the DDoS-attack detection methods that, in this study, produced the lowest false-positive rate (0.012) in comparison with all the other mentioned studies.

Laboratory diagnostic markers in oncourology

The article presents and analyzes laboratory tests and organizational options for per forming studies aimed at the early detection of oncopathology in oncourology and the diagnosis of colorectal cancer.

Substantiation of the importance of oncoscreeningin primary care. Modern laboratory technologies used in oncoscreening

The article presents and analyzes laboratory tests and organizational options for performing studies aimed at early detection of cancer and precancerous lesions of the cervix, features of routing, technological process that affect the speed of obtaining the result, improving the effectiveness of treatment and the quality of life of a woman.

Riskier Business? How Consumer Perceptions of Corporate Political Advocacy have Evolved

In the past, companies have largely avoided taking sides on political issues due to their risky polarizing nature and focused their efforts on business operations and controlling what impacts the bottom line. However, there has been a shift in the past decade where companies have increasingly taken very public stances on politically charged social issues, referred to as corporate political advocacy (CPA). With the increasingly polarized political nature of the population coupled with the consumer’s desire for organizations to help drive social change, abstaining from engaging in CPA is becoming less of an option for organizations. The purpose of this research is to investigate how consumer perceptions of CPA have changed and which social issues have the strongest influence and impact on consumers’ purchasing decisions. Using comparative analyses from two datasets collected nearly 10 years apart, we find that CPA has had an increasingly significant impact and influence on consumer purchase decisions but mostly when an organization takes a stand on a social issue they care about. Ultimately, the data revealed that COVID-19 and healthcare are by far the most influential social issues currently impacting consumer perceptions.

Цифровые каналы коммуникации как инструмент моделирования информационно-справочных услуг

Objective: The paper considers a way for managing high-tech systems at infrastructure facilities of passenger complex through the integration and maintenance of communication channels. This issue is vital since the formation of information environment that’s accessible for passengers and clients will allow to minimize the gaps in the processes of introduction and provision of information on objects in a whole and their single elements. Methods: The main tools for analysis and management of a passenger complex while permanent activity implementation are: causal links, mapping, data analysis etc. Results: Option of organization and implementation of optimization scheme for communication channel array at the expense of transition to digital platforms (single informational field). Practical importance: The paper considers the issue of perception optimization for information big amounts, being received by a client in a real time, with subsequent decision-making on their basis.

Cancer screening in gynecology. Laboratory diagnostics capabilities

Recommendations are given on the quality and speed of performing cytological studies aimed at increasing the efficiency of detecting cervical cancer and precancerous conditions. An optimal list of laboratory tests and organizational options for performing laboratory tests aimed at early detection of cervical cancer, features of the technological process that affect the speed of obtaining a result, increasing the effectiveness of treatment and the quality of life of a woman are presented.

REORGANIZATION OF THE NATURAL GAS DISTRIBUTION COMPLEX OF JSC “MOLDOVAGAZ”

For the reorganization of the gas distribution companies affiliated to JSC “Moldovagaz”, a bibliographic study of the experience of foreign countries in this field was carried out, analyzing the production, financial and economic conditions of the activity of the mentioned companies. In order to improve the organizational structure of the 12 existing natural gas distribution companies, the analysis of technical and economic indicators and their evaluation were performed as well as the development of three management models of the natural gas distribution system. The comparative analysis of the functions and responsibilities of the management of natural gas distribution companies as well as the organizational structural options was performed, thе tаrgеt struсturе оf thе singlе gаs distributiоn соmраny wаs аnаlyzеd. Thе аdvаntаgеs аnd disаdvаntаgеs оf еасh rеоrgаnizаtiоn mоdеl wеrе аnаlyzеd sо thаt in thе еnd it wаs determined and rесоmmеndеd thе орtimаl model.

Chatbot Using Python

Abstract: A chatbot enables a user to simply ask questions in the same manner that they would respond to humans. The most well-known chatbots currently are voices chatbots: SIRI and Alexa. However, chatbots have been adopted and brought into the daily application at a high rate on the computer chat platform. NLP also allows computers and algorithms to understand human interactions through various languages. Recent advances in machine learning have greatly improved the accurate and effective of natural language processing, making chatbots a viable option for many organizations. This improvement in NLP is firing a great deal of additional research which should lead to continued improvement in the effective of chatbots in the years to come.A bot is trained on and according to the training, based on some rules on which it is trained, it answers questions. It is called ruled based approach. The language by which these bots can be created is Artificial Intelligence Markup Language (AIML). It is a language based on XML which allows the developer to write the rules which the bot will follow. In this research paper, We are trying to understand these chatbots and understanding their shortcomings. question or statement submitted by a user and allow the user to control over the content to be displayed Keywords: AI; ML; Wordnet; Chatbot; NLP

Formal Organization in the Calligraphy Panel of the Calligrapher Hashim Muhammad Al-Baghdadi

This research study is concerned with (formal organization in the comprehensive calligraphic painting of the calligrapher Hashem Al-Baghdadi) and the research problem was represented by a basic question: What is the formal organization in the comprehensive calligraphic painting of the calligrapher Hashem Al-Baghdadi?
 The research aims to study the forms used in the comprehensive painting of the calligrapher Hashem Al-Baghdadi in terms of the formal organization of the calligraphic elements and the artistic contribution by arriving at defining the characteristics of the system and the technically approved form in the comprehensive painting, and thus may benefit calligraphers and those interested in studying Arabic calligraphy and calligraphy painting.
 The theoretical framework included a review of the following topics: the stages of development of the emergence of the Arabic calligraphy and the calligraphy board, the lines used in the implementation of the calligraphy painting of the calligrapher Hashem Al-Baghdadi, the formal organization in the calligraphy board, and the design systems adopted in the calligraphy board.
 In his research procedures, the researcher followed the descriptive (analytical) approach through the adult research community represented in the form of the university linear board, from which an intentional sample was chosen, represented by a diagram of the structural structure, and the analysis form was designed and presented to experts to ensure its validity to achieve the goals. The formal organization and the research reached the following results:
 1- The general design of the whole linear panel was subject to the division of its space through the two axes (horizontal and vertical) that bisect the total space, allowing organizational options in dividing it, sometimes with binary symmetry and at other times with quadrilateral symmetry.
 2- Employing a basic anchor that serves as a starting point for placing the other partial divisions within the geometric element (the circle) occupying the center of the design. in spreading.
 3- Employing arcs with varying areas in measurement, in which the designer sought to enhance their changing role as incubators for the relatively larger geometric shapes (circles) with their neighboring smaller circles, keeping the horizontal and vertical axes achieving greater organizational diversity without relying on the element of the circle.