α,ß,γ- Neutrosophic aggregation operators and their applications in the software site selection.

In this paper, we expended the concept of neutrosophic sets (NS) by introducing the idea α,ß,γ- neutrosophic set (α,ß,γ- NS). The existing models under conventional NSs, fail to adequately address the management of membership degree influence during the aggregation process. While the proposed framework manages the influence of membership degree (MD), indeterminacy membership degree (IMD), and non-membership degree (NMD) by incorporating parameters α, ß, and γ. Furthermore, we defined some fundamental operational laws for α,ß,γ- NSs and introduced a series of aggregation operators (AOs) to effectively combine α,ß,γ- neutrosophic information. Based on these AOs, a new Multiple Criteria Decision Making (MCDM) model is proposed for solving real-life decision-making (DM) challenges. An illustrative case study is presented to showcase the effectiveness of the proposed model in selecting an optimal location for a software office. The article concludes by validating the proposed model's authenticity and effectiveness through a comparative analysis with existing approaches.

Utilizing sine trigonometric q-spherical fuzzy rough aggregation operators for group decision-making and their role in digital transformation.

q-spherical fuzzy rough set (q-SFRS) is also one of the fundamental concepts for addressing more uncertainties in decision problems than the existing structures of fuzzy sets, and thus its implementation was more substantial. The well-known sine trigonometric function maintains the periodicity and symmetry of the origin in nature and thus satisfies the expectations of the experts over the multi-parameters. Taking this feature and the significance of the q-SFRSs into consideration, the main objective of the article is to describe some reliable sine trigonometric laws for SFSs. Associated with these laws, we develop new average and geometric aggregation operators to aggregate the q-spherical fuzzy rough numbers. Then, we presented a group decision-making strategy to address the multi-attribute group decision-making problem using the developed aggregation operators. To verify the value of the defined operators, a MAGDM strategy is provided along with applications for selecting a Cloud Service Provider and a Digital Transformation Vendor for digital transformation. Moreover, a comparative study is also performed to present the effectiveness of the developed approach.

Assessing indoor positioning system: A q-spherical fuzzy rough TOPSIS analysis.

This study investigates advanced data collection methodologies and their implications for understanding employee and customer behavior within specific locations. Employing a comprehensive multi-criteria decision-making framework, we evaluate various technologies based on four distinct criteria and four technological alternatives. To identify the most effective technological solution, we employ the q-spherical fuzzy rough TOPSIS method, integrating three key parameters: lower set approximation, upper set approximation, and parameter q (where q ≥ 1). Our novel approach combines the TOPSIS method with q-spherical fuzzy rough set theory, providing deeper insights into data-driven decision-making processes in corporate environments. By comparing our proposed framework with existing multi-criteria decision-making methodologies, we demonstrate its strength and competitiveness. This research contributes to enhancing decision-making capabilities in corporate settings and beyond.

An innovative state-of-the-art health storytelling technique for better management of type 2 diabetes.

Background: Type 2 diabetes (T2D) is a chronic lifelong disease that requires long-term prevention and management strategies in a community setting. A health story is a novel technique that may be used as an effective tool for better prevention and management of T2D. Objective: The main objective of this study is to develop a story to be used as a social health technique based on contemporary scientific knowledge that may be used at a community level for better communication and management of T2D. Methods: A community-academic partnership was formed with a not-for-profit Nutrition Education, Awareness, and Training (NEAT) organization in Khyber Pakhtunkhwa, Pakistan. We agreed to develop a story that may be used as a health and nutrition education communication tool for better management of patients with T2D. The following phases were followed during the story creation process: (1) the theory phase, (2) the modeling phase, and (3) the evaluation phase. Raters evaluated the story to determine its literary and scientific quality, comprehensiveness, and T2D specificity. Results: The title of the story translated into English is "The Story of Diabetes-The Story of Success." It is text based and contains 86 pages in the local language, "Pashto," with an English translation. The story is divided into five chapters and describes the initial diagnosis, fear associated with the disease, issues related to referral to certified practitioners, the importance of a balanced diet, and related lifestyle habits. After story evaluation, the raters suggested its literary and scientific quality, comprehensiveness, and T2D specificity (Pearson correlation scores of >0.8). Conclusion: This unique story was created for T2D and found to be of significant quality in terms of its literary and scientific quality, as well as its comprehensiveness and diabetes specificity. As a result, it may be suggested that it can be used in subsequent studies to improve T2D management among adult patients.

Prospects for potato genome editing to engineer resistance against viruses and cold-induced sweetening.

Crop improvement through transgenic technologies is commonly tagged with GMO (genetically-modified-organisms) where the presence of transgene becomes a big question for the society and the legislation authorities. However, new plant breeding techniques like CRISPR/Cas9 system [clustered regularly interspaced palindromic repeats (CRISPR)-associated 9] can overcome these limitations through transgene-free products. Potato (Solanum tuberosum L.) being a major food crop has the potential to feed the rising world population. Unfortunately, the cultivated potato suffers considerable production losses due to several pre- and post-harvest stresses such as plant viruses (majorly RNA viruses) and cold-induced sweetening (CIS; the conversion of sucrose to glucose and fructose inside cell vacuole). A number of strategies, ranging from crop breeding to genetic engineering, have been employed so far in potato for trait improvement. Recently, new breeding techniques have been utilized to knock-out potato genes/factors like eukaryotic translation initiation factors [elF4E and isoform elF(iso)4E)], that interact with viruses to assist viral infection, and vacuolar invertase, a core enzyme in CIS. In this context, CRISPR technology is predicted to reduce the cost of potato production and is likely to pass through the regulatory process being marker and transgene-free. The current review summarizes the potential application of the CRISPR/Cas9 system for traits improvement in potato. Moreover, the prospects for engineering resistance against potato fungal pathogens and current limitations/challenges are discussed.