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A two-dimensional crystalline allotrope of boron, Borophene, has attracted much interest lately because of its unique electrical characteristics and possible uses in electronic devices. This thorough analysis examines the opportunities and difficulties related to the bandgap creation in boron, which is essential for its incorporation into semiconductor technologies. An introduction to the structural features of Borophene is given at the outset of the text, emphasizing its fascinating hexagonal lattice and tunable electronic properties. The review thoroughly explores the range of techniques used in synthesizing Borophene, covering both theoretical and experimental methods. It assesses how growth conditions, post-synthesis treatments, and substrate interactions affect the establishment of the bandgap in Borophene. The study also looks at how strain engineering, flaws, and impurities affect the bandgap, highlighting the necessity of exact control over these elements to get desirable electrical properties. We go into great length about the difficulties in Borophene bandgap engineering, including stability, scalability, and repeatability problems. The study critically evaluates the current body of knowledge, pointing out knowledge gaps and suggesting possible directions for further research. In addition, the paper discusses how external elements like humidity and temperature affect the stability of Borophene electrical characteristics, which complicates practical application. To sum up, this thorough analysis offers insightful information about the development of the borophene bandgap formation and a road map for scientists and engineers hoping to utilize borophene to its maximum potential in the future generation of electronic devices. The difficulties in synthesis and the complex interaction of several factors influencing bandgap creation highlight the necessity of ongoing multidisciplinary work to realize the technological potential of borophene.

The dataset focuses on evaluating the performance of 17 sweet potato varieties (G) released by the Bangladesh Agricultural Research Institute (BARI) in terms of storage root yield and stability across five locations (E) in Bangladesh—Gazipur, Bogura, Jamalpur, Jashore, and Chattogram. The result revealed that BARI Mistialu-12 exhibited the highest average storage root yield at 45.35 t/ha, closely followed by BARI Mistialu-16 at 44.64 t/ha. Conversely, BARI Mistialu-1 had the lowest mean yield of 25.99 t/ha. Among the locations, Bogura recorded the highest mean root yield at 37.05 t/ha, while Chattogram exhibited the lowest at 31.27 t/ha. A combined analysis of variance revealed the presence of variability in storage root yield attributed to the genotype-location (environment) interaction (GEI). To delve deeper into this interaction, additive and multiplicative interaction effect models (AMMI) along with a linear mixed model (LMM) were employed for further investigations to confirm the significant contribution of GEI variance to root yield. The LMM results showed genetic variance (%), heritability (%), selection accuracy (%), and GEI correlation coefficients of 52.27, 54, 94, and 30, respectively. The AMMI analysis indicated that the first two principal components accounted for 74.60 % of GEI, with 20.16 % attributed to it. Assessing significant Interaction Principal Component Analyses (IPCAs) through the Weighted Average of Absolute Scores (WAAS) indicated that BARI Mistialu-12 is the most stable genotype, followed by BARI Mistialu-16 and BARI Mistialu-8, all displaying above-average root yield. The mega-environment analysis associated the highest root production of BARI Mistialu-11 and BARI Mistialu-2 with the Jamalpur location, while Gazipur, Bogura, and Jashore were linked with the superior performance of BARI Mistialu-12 and BARI Mistialu-16 genotypes. These findings are crucial for future breeding programs and the rapidly growing sweet potato industry, given the stable high-yield potential across diverse agro-ecological conditions. However, it is imperative to repeat the study to ensure reliable outcomes.

The provision of a wide range of financing choices enhances farmers' ability to respond to changing circumstances in their agricultural activities and maintain optimal levels of production. However, several household- and farm-level determinants impact the availability of, and demand for, agricultural credit in rural households. Therefore, the current study explores the determinants of demand for, and supply of, agricultural credit. To do so, data at the farm level were gathered using interviews with a randomly selected sample of 360 respondents in the Mymensingh region of Bangladesh. Additionally, 30 years' worth of secondary data were obtained from various sources to investigate the determinants of agricultural credit supply. Data were analyzed using binary logistics and multiple linear regression. Findings reveal that farmers’ demand for agricultural credit is positively influenced by farming experience and farm size. Factors that significanly discourage farmers from taking credit include (a) an increase in income-generating family members, (b) perceived high interest rates of credit, and (c) negative perceptions regarding the application procedure. Factors that increase agricultural credit supply are (a) an increase in credit supply targets and (b) increased severity of natural disasters. In addition, an increase in non-performing loans does not hinder agricultural credit supply as the Bangladeshi government has placed special emphasis on protecting farmers from crop failures and other adverse situations in order to achieve food self-sufficiency in the country.