Impact of Novel Varietal and Regional Differences on Cotton Fiber Quality Characteristics.

Modernization and the global fashion market demand continuous improvements in upland cotton cultivars (Gossypium hirustum L.) to meet these improved fiber characteristics (fiber length, fiber strength, micronaire) requirements. Researchers have centered their efforts on improved fiber quality; however, the efforts are not immediately supporting the textile sector. The daily mean and temperature amplitude fluctuation affect cotton yield and fiber characteristics. This study analyzed four newly developed cotton varieties in two cotton regions for fiber characteristics' variations. It was observed that cotton fiber quality characteristics (fiber length, uniformity, strength, and micronaire) are impacted in diverse ways. Fiber quality is mainly affected by the genotype and environmental conditions, e.g., weather conditions, irrigation management, fertilization, and cultural practices. The Khanewal region had shown better fiber characteristics than the Multan region, whereas cotton variety CIM-785 had better fiber characteristics in both regions.

q-Rung Orthopair Fuzzy Rough Einstein Aggregation Information-Based EDAS Method: Applications in Robotic Agrifarming.

The main purpose of this manuscript is to present a novel idea on the q-rung orthopair fuzzy rough set (q-ROFRS) by the hybridized notion of q-ROFRSs and rough sets (RSs) and discuss its basic operations. Furthermore, by utilizing the developed concept, a list of q-ROFR Einstein weighted averaging and geometric aggregation operators are presented which are based on algebraic and Einstein norms. Similarly, some interesting characteristics of these operators are initiated. Moreover, the concept of the entropy and distance measures is presented to utilize the decision makers' unknown weights as well as attributes' weight information. The EDAS (evaluation based on distance from average solution) methodology plays a crucial role in decision-making challenges, especially when the problems of multicriteria group decision-making (MCGDM) include more competing criteria. The core of this study is to develop a decision-making algorithm based on the entropy measure, aggregation information, and EDAS methodology to handle the uncertainty in real-word decision-making problems (DMPs) under q-rung orthopair fuzzy rough information. To show the superiority and applicability of the developed technique, a numerical case study of a real-life DMP in agriculture farming is considered. Findings indicate that the suggested decision-making model is much more efficient and reliable to tackle uncertain information based on q-ROFR information.

Polymorphism of HLA-DR and HLA-DQ in rheumatoid arthritis patients and clinical response to methotrexate--a hospital-based study.

OBJECTIVE: To investigate the frequency and distribution of DRB1 and DQB1 alleles in Patients with rheumatoid arthritis (RA) and analyze the relationship between clinical response to methotrexate (MTX) and the HLA-DR and HLA-DQ genotypes in these patients. METHODS: In this case-control study, the HLA-DRB1 and HLA-DQB1 polymorphism in 91 RA patients and 91 healthy controls was done using polymerase chain reaction and sequence specific primers. RESULTS: There was no statistical difference in frequencies of HLA-DRB1*03, DRB1*04, DRB1*07, DRB1*10, DRB1*11, DRB1*12, DRB1*13, DRB1*14, DRB1*15 and DRB1*16 genotypes between patients and controls. However, DRB1*01 was found to be significantly more common (p=0.015) in RA patients compared to controls. HLA-DRB1*15 was more common in patients (43.5%) compared to controls (30.8%) but results were not significant. HLA-DRB1*08 and DRB1*09 were present in negligible number in patients as well as controls while HLA-DRB1*12 was conspicuously absent in controls. Similarly, DQB1*06 was also significantly more common (p = 0.01) among the patients compared to healthy control subjects, while there was no statistical difference in the frequencies of DQB1*02, DQB1*03, DQB1*04 and DQB1*05 among the cases and the controls. RA susceptibility in most patients appeared to be associated with the HLA-DRB1*01/DQB1 *06 genotype. Regarding association between HLA-DR or HLA-DQ genotype and clinical response to methotrexate (MTX), the data showed that with the exception of HLA-DRB1*03, there appears to be no association between the particular subtypes of HLA-DR and HLA-DQ. HLA-DRB1*03 was significantly-more common among non-responders to MTX alluding to the possibility that another genes responsible for MTX metabolism, might be in linkage disequilibrium with HLA-DRB1*03 in the Pakistani population, thereby making such individuals non-responsive to MTX-therapy. CONCLUSION: RA susceptibility in most Pakistani patients is associated with the HLA-DRB1*01/DQB1*06 genotype. HLA-DRB1*03 was found to be significantly more common among non-responders to MTX treatment suggesting that Pakistani patients with this genotype are less likely to benefit from MTX.