Attractive Concept Research Articles

Monosexual/Plurisexual: A Concise History

ABSTRACT Monosexuality and bisexuality (attraction to one and more than one gender/sex, respectively) are historical constructs, as are monomodal (e.g., gender/sex-based) and multimodal concepts of erotic attraction. I provide a brief outline of distinctions between single-gender and multi-gender attractions as they emerged in continental Europe. Nineteenth-century conceptualizations of sexual orientation in terms of gender-exclusivity were animated by medical frames for socio-sexual disfavor and aversion. From the early 1880s bisexuality became framed as a stage of “sexual inversion,” and, from 1891, associated with notions of gender-independent attraction to particular “types.” German and Dutch surveys reported in 1904 were pivotal in popularizing and internationalizing bisexual interest as a sexological intrigue.

OVERVIEW OF THE CONCEPTS AND APPROACHES FOR BUDGET PLANNING IN ENTERPRISES IN THE BULGARIAN SCIENTIFIC LITERATURE

In the conditions of a rapidly changing and uncertain dynamic environment, increasing competition, and limited resources, the global economic crisis brought planning and control to the fore as the leading functions of management. Modern practice is characterized by a significant variety of tools, approaches and methods in the implementation of planning in enterprises. The purpose of this publication is to review the concepts and tools for budget planning in the enterprise, which are known in the Bulgarian scientific literature, indexed in the scientific database Google Scholar at the end of March 2023. Methodologically, the review used a systematic approach. The review was conducted in three stages: developing a search protocol, conducting the search and reporting the results. The literature sample of review sources covers eleven scientific publications corresponding to the researched topic. The results of the review show that many Bulgarian authors recommend the application of quantitative methods and approaches for enterprise budget planning. As such, the balanced scorecard and tools of fuzzy set theory are indicated. A number of authors emphasize the need for the application of a flexible and dynamic toolkit for budget planning, which enables the assessment and successful management of internal and external risk. For crisis conditions, the authors most often recommend scenario planning and heuristic models. Some authors highlight the kaizen concept and controlling as attractive and successful planning concepts. Other authors point to expert systems based on artificial intelligence as a particularly valuable tool for planning. In the "discussion" part of the present study, some recommendations for future research are given. In the opinion of the author, this development has the character of a landmark for the state of the Bulgarian scientific literature about the concepts and tools for budget planning in the enterprise. Despite the theoretical nature of the study, it can be used by both researchers and management practice.

Urine biomarkers in bladder cancer - current status and future perspectives.

Urine markers to detect bladder cancer have been the subject of research for decades. The idea that urine - being in continuous contact with tumour tissue - should provide a vector of tumour information remains an attractive concept. Research on this topic has resulted in a complex landscape of many different urine markers with varying degrees of clinical validation. These markers range from cell-based assays to proteins, transcriptomic markers and genomic signatures, with a clear trend towards multiplex assays. Unfortunately, the number of different urine markers and the efforts in research and development of clinical grade assays are not reflected in the use of these markers in clinical practice, which is currently limited. Numerous prospective trials are in progress with the aim of increasing the quality of evidence about urinary biomarkers in bladder cancer to achieve guideline implementation. The current research landscape suggests a division of testing approaches. Some efforts are directed towards addressing the limitations of current assays to improve the performance of urine markers for a straightforward detection of bladder cancer. Additionally, comprehensive genetic analyses are emerging based on advances in next-generation sequencing and are expected to substantially affect the potential application of urine markers in bladder cancer.

Utilizing hydrogen pressure energy by expansion machines – PEM fuel cells in mobile and other potential applications

Hydrogen is an important energy carrier for a future without fossil fuels, but PEM fuel cell systems have to utilize the entire available energy as efficiently as possible. Hydrogen is typically stored at a maximum pressure of up to 700 bar and is supplied to the anode system at about 15 bar. Normally, a pressure reduction valve expands the hydrogen between 700 and 15 bar, but the pressure energy is unused during expansion. In this paper, different expansion machines are analyzed and the most attractive concepts are studied in detail to regain the expansion energy. Finally, a piston expansion system concept is designed with an estimated power output of 10 kW and a driving range increase of 2%, reflecting the high potential for efficiency improvement.

Machine Learning-Based Agoraphilic Navigation Algorithm for Use in Dynamic Environments with a Moving Goal

This paper presents a novel development of a new machine learning-based control system for the Agoraphilic (free-space attraction) concept of navigating robots in unknown dynamic environments with a moving goal. Furthermore, this paper presents a new methodology to generate training and testing datasets to develop a machine learning-based module to improve the performances of Agoraphilic algorithms. The new algorithm presented in this paper utilises the free-space attraction (Agoraphilic) concept to safely navigate a mobile robot in a dynamically cluttered environment with a moving goal. The algorithm uses tracking and prediction strategies to estimate the position and velocity vectors of detected moving obstacles and the goal. This predictive methodology enables the algorithm to identify and incorporate potential future growing free-space passages towards the moving goal. This is supported by the new machine learning-based controller designed specifically to efficiently account for the high uncertainties inherent in the robot’s operational environment with a moving goal at a reduced computational cost. This paper also includes comparative and experimental results to demonstrate the improvements of the algorithm after introducing the machine learning technique. The presented experiments demonstrated the success of the algorithm in navigating robots in dynamic environments with the challenge of a moving goal.

Human-like evaluation by facial attractiveness intelligent machine

Facial attractiveness is an important factor in social interactions and has been widely studied in psychology and neuroscience. This paper presents a novel approach to the problem of predicting facial attractiveness using machine learning and computer vision techniques. Our main objective is to investigate whether an intelligent machine can learn and accurately predict facial attractiveness based on objective rules in facial features.To achieve this, we collected datasets of facial images and corresponding attractiveness rankings for women. We then utilized various machine learning methods, including k-nearest neighbors (KNN) and support vector regression (SVR), to train a predictor model that learned from these datasets to provide a human-like assessment of facial attractiveness. The model used facial feature parameters, such as symmetry and proportion, as input to determine the attractiveness ranking as output.We evaluated the performance of our trained predictor model using several metrics, including the coefficient of determination (R2), root-mean-square error (RMSE), and mean absolute percentage error (MAPE). The best performance was achieved using the KNN algorithm during the testing phase, with R2=0.9902, RMSE=0.0056, and MAPE=0.0856. It indicated a significant improvement in the accuracy of facial attractiveness prediction compared to previous studies.Our results demonstrate that an intelligent machine can learn and predict facial attractiveness based on objective rules in facial features, providing a promising approach for ranking facial attractiveness. In comparison to previous studies in this area, our approach shows significant improvement in accuracy, with a correlation coefficient higher than that of human ratings. This work has significant implications for the fields of psychology, neuroscience, and computer science, as it provides a new perspective on the concept of facial attractiveness and its quantification using machine learning.

The concept, essence and methods of assessing the investment attractiveness of an enterprise in modern economic conditions

The article is devoted to the study of approaches to the concept of investment attractiveness of an enterprise used in Russian practice. Special attention is paid to the study of tools and methods for assessing the investment attractiveness of an enterprise in modern conditions. The relevance of the topic of the article lies in the fact that not all enterprises pay due attention to the investment climate, which leads to a decline in the efficiency of operational, investment and financial activities. Investment attractiveness is the main criterion that can attract investors, and as a result, increase the company’s profit.The subject of the research in the article are methods and techniques for assessing the investment attractiveness of economic entities. The research results consist in the development of proposals to increase the investment attractiveness of enterprises on the basis of indicators characterizing the financial condition of the enterprise in conjunction with the probability of bankruptcy of the Altman model and accounting for the external environment of the enterprise.

Production Data Management of Smart Farming Based on Shili Theory

The development of smart farming comes with a lot of data problems. Studies have shown this is due to insufficient cognition of the structural relationship between data and events. Shili Theory is an attractive concept. To embed intelligent agricultural technology in events and the natural environment, especially to unify and standardize agricultural production data, firstly, this paper has defined the concept of Shili Theory which researches the natural regularity of the event by Shili Mirrored Structure. Secondly, this paper has proposed a Shili Mirrored Structure based on the technology development path (from the human brain memory mechanism to the information storage mechanism to intelligent technology). Finally, the structure has been applied to develop an intelligent system of agricultural production data management. In rice production of Jilin Province, it forms the event chain of the whole plant 5T (seed, seeding, paddy shoot, grain, product period operation) and grain period 5T (harvesting, field stacking, drying, warehousing, storing). The system application shows that this management structure can reduce data flow, improve data utilization, and enhance the correlation between data and events. It can realize the quality improvement of the agricultural production process, especially revealing the 8.83% significant latent loss in rice harvest.

The Role of Employer Branding Practices on Management of Employee Attraction and Retention

Introduction. An employer brand includes everything practiced to position an organization as a preferred employer. Nowadays, business companies are having more difficulty procuring qualified employees who are vital for company success under keenly competitive business conditions. To cope with this difficulty, companies carry out different practices to attract and retain talent, and the employer brand concept has become one of the tools that business companies use to attract and retain talent.
 Aim and tasks. The aim of the study is to investigate, determine and describe how business companies are efficacious in their employer brand management practices to meet the expectations of current and potential employees. It is also aimed to determine which activities are carried out by the business companies for employer branding. In this context, a literature review is carried out within the scope of employer branding to brief the concepts of organizational attractiveness and to ensure organizational commitment.
 Results. Within the scope of the research, the semi-structured in-depth interviews with the human resources professionals of seven large-scale, domestic, and foreign companies operating in the Izmir, Istanbul, and Manisa provinces were examined. The findings of the interviews are evaluated by the qualitative analysis method according to the research methodology. The result of the research conducted and the references to the definition of the employer brand were compiled under five nodes. These are the work environment, economic benefits, work-life balance, career development opportunities, and social activities. On the other hand, the economic benefits node was compiled under two different sub-nodes, namely wages and fringe benefits. The characteristics and contributions of the employer branding were investigated, and the effects of the employer brand on retention within the scope of talent management were investigated.
 Conclusions. It has been observed that the organizations' awareness level of the employer brand concept is high, and it has been discovered that they have many practices for both potential candidates and current employees. These practices have revealed that they differentiate themselves from their competitors in terms of business characteristics, working environment, and global opportunities. All these efforts provide many benefits such as increases in the number of applications, increases in attractive employer rankings, increases in employee motivation, and decreases in employee turnover rates.

Effect of Graft-versus-Host Disease on Post-Transplantation Outcomes following Single Cord Blood Transplantation Compared with Haploidentical Transplantation with Post-Transplantation Cyclophosphamide for Adult Acute Myeloid Leukemia

The possibility that HLA mismatches could reduce relapse after alternative HLA-mismatched allogeneic hematopoietic cell transplantation (HCT) is an attractive concept for treating acute myeloid leukemia (AML). However, it remains unclear whether the prognostic effect of graft-versus-host disease (GVHD) on survival differs between recipients of single-unit cord blood transplantation (CBT) and recipients of haploidentical HCT using post-transplantation cyclophosphamide (PTCy-haplo-HCT) for AML. The objective of this retrospective study was to compare the effect of acute GVHD and chronic GVHD on post-transplantation outcomes between recipients of CBT and recipients of PTCy-haplo-HCT. We retrospectively evaluated the effect of acute and chronic GVHD on post-transplantation outcomes following CBT and PTCy-haplo-HCT in adults with AML (n=1981) between 2014 and 2020 using a Japanese registry database. In univariate analysis, the probability of overall survival was significantly greater in patients who developed grade I-II acute GVHD (P < .001, log-rank test) and limited chronic GVHD (P < .001, log-rank test) among CBT recipients, but these effects were not significant among PTCy-haplo-HCT recipients. In multivariate analysis, in which the development of GVHD was treated as a time-dependent covariate, the effect of grade I-II acute GVHD on reducing overall mortality differed significantly between CBT and PTCy-haplo-HCT (adjusted hazard ratio [HR] for CBT, .73, 95% confidence interval [CI], .60 to .87; adjusted HR for PTCy-haplo-HCT, 1.07; 95% CI, .70 to 1.64; P for interaction=.038). Our data demonstrate that grade I-II acute GVHD was associated with a significant improvement in overall mortality in adults with AML receiving CBT but not in recipients of PTCy-haplo-HCT.

Self‐Powered and Light‐Adaptable Stretchable Electrochromic Display

AbstractA stretchable electrochromic display with a self‐powered feature is an attractive concept in addressing the demands of information visualization and interaction without an external power supply for next‐generation wearable and portable electronics. Herein, a self‐powered stretchable electrochromic display is proposed for the first time, with WO3 on the stretchable conductor as the electrochromic electrode integrated in parallel with the Zn/carbon electrodes and topped with a ZnCl2‐based organohydrogel. This geometrically designed electrochromic device can be self‐colored by the chemical potential gap between WO3/Zn electrodes. The self‐bleaching process caused by the oxidation of the reduced WO3 electrode is facilitated by the leakage current between the WO3/carbon electrodes. In this constructed self‐powered system, the electrochromic electrode shows reversible coloring/bleaching performance up to 50% strain and maintains favorable stability with power‐free reversible electrochemical switching for 400 cycles. Optical contrast retention at 81% is maintained for 200 stretching/recovery cycles. The prepared device combined with a phosphorescent substrate is demonstrated as a light‐adaptable stretchable display, where the “on/off” states of the display are shown in both bright and dark conditions without power consumption. This work provides broad application prospects for futuristic multifunctional stretchable and portable display electronics.

"Precision farming" as a concept for big data management in agriculture

The article describes precision farming technologies (FT) for use in agriculture. Precision farming is a new system that is designed to increase crop yields through the use of various aspects, such as technology, management and information, in order to increase productivity, improve crop quality, protect the environment and save energy. Information related to agricultural land is difficult to store due to large amounts of data and annual fluctuations in the distribution of agricultural land. One of the main and responsible components of the FT consists of several sets of satellites. These sets of satellites send radio signals in the form of waves to a receiver installed on earth, the receivers, having received the signals, process them and find out the exact topographic position. Precision farming consists of remote sensing techniques using smart sensors, which play a vital role in monitoring, obtaining and providing processed crop data to farmers. Precision farming is positioned as a new agricultural practice used by farmers to increase crop productivity through the use of modern technologies such as IoT (Internet of Things), AI (artificial intelligence), ML (machine learning) and cloud computing. To date, most studies conducted in the field of FT show that FT-based agriculture has significantly affected the productivity and sustainability of crops. Thus, FT is an attractive concept that naturally meets the farmer's expectations for more efficient use of agricultural resources.

СОВРЕМЕННЫЕ ПОДХОДЫ В ОПРЕДЕЛЕНИИ ИНВЕСТИЦИОННОЙ ПРИВЛЕКАТЕЛЬНОСТИ КОМПАНИИ С ЦЕЛЬЮ ЕЁ ПРИОБРЕТЕНИЯ

The investment attractiveness of a company is an important parameter that investors pay attention to when considering the possibility of acquiring a company. To date, many foreign organizations are selling their business in Russia, which is an excellent opportunity for domestic investors to acquire a profitable and liquid asset. In this regard, the determination of the investment attractiveness of the company is an urgent issue. This article discusses various interpretations of the concept of the investment attractiveness of a company, as well as the factors influencing this indicator. In addition, the paper considers modern methods for determining investment attractiveness.

CAT SHELTER BANJARBARU

Caring for pets has become part of the lifestyle of modern society. The high interest in keeping animals is directly proportional to the growth of the abandoned animal population in Banjarbaru City. The follow-up to this problem is to create a shelter facility for abandoned animals who are sick, injured, tortured, or need protection in the form of Cat Shelters. The design of the Cat Shelter in Banjarbaru pays attention to the habits and character of cats. Programmatic architecture is used to organize space functions based on the flow of cat rescue activities and the interaction of cats and humans. The attractive concept is applied in the design to be able to make humans and cats whose characters are spoiled and cute have good interactions. The design was made several times to separate cat rescue activities and cat interaction activities

Career Women’s Perception of Social Attractiveness and Appearance Management Behavior

This study focused on working women’s perceptions of social attractiveness and their appearance management behavior. Social attractiveness is defined as individuals’ achieved attractiveness which can be expressed through social expressive power or social skills rather than innate physical appearance. This study was empirically conducted through questionnaires distributed to 200 working women in South Korea. According to the results, the participants recognized four factors constituting social attractiveness: physical appearance management, business manners, social skills, and sexual attractiveness. When they were asked to assess themselves on the same measures, these characteristics were further classified into six factors: business manners, feminine attractiveness, fashion sense, sociability, communication skills, and active appearance management. Their self-perceived social attractiveness was found to be influenced by all these factors in the order of feminine attractiveness, business manners, sociability, communication skills. Based on the self-presentation tendencies, the participants were classified into various groups, including the passive management group, daily life-oriented management group, work-oriented management group, neutral group, and active management group. The relative importance of the social attractiveness components was found to differ by group, although working women in all groups rated weight management higher than appearance management behavior. This study has implications in that it facilitates an understanding of the concept of social attractiveness and also provides a foundation base in terms of beauty consulting and marketing for working women to improve their social attractiveness.

WISATA OUTBOND PANTAI TANJUNG BURUNG KOTA MEMPAWAH

The city of Mempawah, also known as the earth of galaherang, has lots of tourist destinations. This is because the it has regional characteristics in the form of land and coastal islands with seas. There is a potential beach tourism destination in there which has mangrove ecosystem in it, namely Tanjung Burung Beach. However, the current condition of it is still not optimal due to a lack of supporting facilities as an ecotourism area, which causes activities in it to become monotonous and less attractive. In an effort to maximize the potential of areas that have characteristics in the form of sandy and muddy soils, outbound tourism areas can be designed with attractive activities and can be carried out in all types of environmental conditions. The design of the Mempawah City Tanjung Bird Beach aims to create a playground for visitors that is formed based on the potential and problems of each by adjusting the playings that can be applied to take advantage of the surrounding natural conditions. The design of this outbound tourism area focuses on the Tanjung Burung Beach area using the glass box design method which is carried out sequentially to produce an attractive outbound tourism design concept by applying ecotourism principles to outbound play spaces to minimize damage and preserve the surrounding environment to make it a sustainable tourist area.

Power Performance and Response Analysis of a Semi-Submersible Wind Turbine Combined With Flap-Type and Torus Wave Energy Converters

Abstract An integrated offshore wind and wave energy system is an attractive concept in areas with abundant wind and wave energy resources. The sharing of supporting platform and facilities, e.g., mooring systems, offers significant cost savings. This will effectively lower the levelized cost of energy (LCOE). In the present study, a conceptual design consisting of a braceless semi-submersible floating horizontal axis wind turbine (FHAWT), three flap-type wave energy converters (WECs), as well as a torus (donut-shaped) point absorber-type WEC is proposed. The flap-type WECs harvest wave energy through the flap motion caused by oscillating wave surge, while the torus WEC absorbs wave energy generated from its heaving motion. The absorbed mechanical power of the power take-off (PTO) systems is calculated based on linear damping forces and the motions of the WECs relative to the supporting platform. Hydrodynamic interaction between the WECs and the supporting platform is considered by including the coupling terms in the added mass and potential damping coefficient matrices. A fully coupled aero-servo-hydro-elastic numerical model of the concept is constructed. The feasibility study of the concept is carried out using time-domain simulations. Only operational environmental conditions are simulated based on simultaneous wind and wave hindcast data of a selected offshore site. The effects of the WECs on the wind turbine, platform motions, and WEC power take-off are examined. Based on the power performance of WECs, recommendations are also provided for optimum power absorption.

Macroscopic laser pulling based on the Knudsen force in rarefied gas.

Optical pulling is an attractive concept due to the counterintuitive feature, the profound mechanism underneath and promising applications. In recent ten years, optical pulling of micro-nano objects have been fully demonstrated. However, optical pulling of a macroscopic object is challenging. Herein, laser pulling of a macroscopic object is presented in rarefied gas. The pulling force is originated from the Kundsen force when a gauss laser beam irradiates a macroscopic structure composed of the absorptive bulk cross-linked graphene material and a SiO2 layer. A torsional pendulum device qualitatively presents the laser pulling phenomenon. A gravity pendulum device was used to further measure the pulling force that is more than three orders of magnitudes larger than the radiation pressure. This work expands the scope of optical pulling from microscale to macroscale and provides an effective technique approach for macroscopic optical manipulations.

Black Sea gas hydrates: safe long terms storage of CO2 with environmentally friendly energy production

Safe long terms storage of CO2 in the form of hydrate with associated energy production from hydrate reservoirs is an attractive concept.

On The Minimal Sets and Stability Conditions For Compact Sets In I(X)-spaces

The set of all isometries on a metric space X with the usual composition of functions form a group and it is called the group of isometries and is denoted by I(X). In this paper we study the generalization of the concepts of minimal sets, stability and attraction, from dynamic system into the topological transformation group (I(X),X).We find that the collection of all minimal sets of I(X)-space is the collection of all the closures of orbits of X and we found some useful results about stability and attraction and we fixed the relationship among it's kinds.