Search Results (142)

This study presents comprehensive DFT calculations to determine the structural, electronic, mechanical, and optical properties of the Ruddlesden–Popper Phase family member, La₂XO₄, which has an orthorhombic crystal structure with a Cmce space group. Ultrasoft pseudopotential plane wave and PBE-GGA approaches have been implemented using the CASTEP tool. The exchange–correlation approximation calculations show that the La₂XO₄ (where X = Ni, Fe, Ba, and Pb) compounds possess no band gap. The results indicate that the compounds are metallic, which are ideal for supercapacitor (SC) applications. The compound’s optical conductivity, dielectric function, extinction coefficients, absorption refractive index, loss function, and reflectivity are also analyzed for SC applications. UV spectra of the compounds observed high absorption coefficient (10⁵ cm⁻¹), dielectric function (9–10), optical conductivity (7 fs⁻¹), and refractive index (4) values. Furthermore, as B/G > 1.75, the mechanical (elastic) properties have shown ductile behavior and mechanical stability. Using the Born stability criteria, the mechanical stability of the compounds is examined. All of the compounds are ductile, according to Pugh’s and Frantesvich ratios. Finally, time-simulations-dependent temperature stability plots for the compounds are computed by employing dynamical stability with norm-conserved pseudopotential, which confirm their potential for SC applications. Full article

Ecological determinants of avian population dynamics are essential for effective wildlife management and conservation. Black and grey francolins are classified as being of least concern by the IUCN and are an ecologically significant bird in the northern regions of Pakistan. Although habitat degradation and overhunting have adversely affected their populations, research on the population structure and habitat preferences of the Totali Game Reserve, Buner District, Pakistan, remains limited. The present study applied distance sampling via the line transect method to estimate population densities and the quadrat method to assess vegetation characteristics across three distinct habitats. A statistical analysis revealed significant variations in densities across the three habitat types—agricultural lands, agroforests, and pasturelands—with both species exhibiting distinct preferences for pastureland ecosystems. Seasonal trends indicated that autumn represented the peak period for the population, driven by post-breeding surges and optimal habitat conditions. Moreover, both species demonstrated a strong affinity for habitats dominated by specific plant species, including hopbush, raspberry, barberry, and blackberry, which provide a critical resource for food, foraging, nesting, and shelter. These findings highlight the ecological importance of pasturelands and specific vegetation types for supporting the survival of these species. Furthermore, conservation efforts should prioritize the preservation and restoration of pastureland ecosystems and incorporate rigorous monitoring programs to guide adaptive management strategies aimed at mitigating population declines. Full article

The optimization of photoinjector brightness is crucial for achieving the highest performance at X-ray free-electron lasers. To this end, photocathode laser pulse shaping has been identified as a key technology for enhancing photon flux and lasing efficiency at short wavelengths. Supported by beam dynamics simulations, we identify transversely and longitudinally truncated Gaussian electron bunches as a beneficial bunch shape in terms of the projected emittance and 5D brightness. The realization of such pulses from chirped Gaussian pulses is studied for 514 nm and 257 nm wavelengths by inserting an amplitude mask in the symmetry plane of the pulse stretcher to achieve longitudinal shaping and an aperture for transverse beam shaping. Using this scheme, transversely and longitudinally truncated Gaussian pulses can be generated and later used for the production of up to 3 nC electron bunches in the photoinjector. The 3D pulse shape at a wavelength of 514 nm is characterized via imaging spectroscopy, and second-harmonic generation frequency-resolved optical gating (SHG FROG) measurements are also performed to analyze the shaping scheme’s efficacy. Furthermore, this pulse-shaping scheme is transferred to a UV stretcher, allowing for direct application of the shaped pulses to cesium telluride photocathodes. Full article

This study was carried out with the aim of understanding how farmers perceive and deal with fall armyworm (FAW) infestations in maize crops. Data based on a questionnaire were collected across nine districts of the Punjab province in Pakistan. Findings revealed that about 38% of farmers had medium-sized landholdings and had been cultivating maize crop for the last 11–20 years. Hybrid maize seed was used by 55% of the farmers, and 60% of the maize grown was used as fodder, as well as a cash crop. Surprisingly, only 39% of farmers were able to correctly identify FAW; however, the majority (72%) recognized the larvae as the most damaging stage. Although most of the farmers (71%) grew maize crops during both seasons, only 34% of the farmers recognized autumn as the peak infestation period of FAW. However, despite limited awareness, a high percentage (86%) of farmers managed FAW effectively using various chemical treatments. This study also highlighted the influence of some factors on farmers’ perception of FAW such as: age, farming experience, and maize cultivation practices. Overall, the findings emphasize the need for increased awareness of the basic biology and targeted management strategies for FAW to safeguard maize crops in the region. Full article

Limited research exists on the breeding ecology of the black francolin (Francolinus francolinus) in northern Pakistan. This study assessed egg dimensions, clutch size, hatching, fledging, and overall breeding success across different habitats and nests (n = 25) at Totali Game Reserve, Buner. Generalized linear models (GLMs) were used to analyze the effects of nest site characteristics and nest traits on breeding parameters. Egg dimensions were consistent across sites whereas bush nests had slightly wider eggs. The average clutch size was 5.9 ± 1.7 eggs, with an average of 4.8 ± 1.0 hatchlings per nest. A total of 111 chicks fledged, averaging 4.4 ± 1.0 per nest, yielding an overall breeding success rate of 75.5%. Nests containing six eggs had higher hatching success (76.6%). GLMs results showed a significant positive relationship between clutch size and hatchling, while nest site and traits had no significant effects. However, fledgling success was positively influenced by hatchling numbers, with nests in wetland habitats yielding significantly more fledglings (4.6 ± 0.9) than those from dryland habitats (4.0 ± 1.2). These findings suggest Black Francolins prefer nesting in wetland areas in bushes, likely due to better protection and favorable conditions. Full article

U.S. government agencies execute home relocation programs, known as buyouts, in flood-prone areas to reduce hazard exposure. By converting the buyout properties into open space, these governmental agencies assume ownership and management responsibilities. As with all landscapes, the post-buyout landscape reflects power dynamics and institutional forces that shape how the land is managed, perceived, and used. For acquired properties, historic housing polices, disaster risk reduction strategies, and the social construction of the land have all accumulated over time on the post-buyout landscape and influence contemporary land management practices. To understand the influence of power and social capital on post-buyout land management, this study analyzes land management practices and compares them with the socioeconomic characteristics of buyout neighborhoods in Harris County, Texas, USA, a county with a fifty-year buyout history. Results indicate that homeownership status, race, and ethnicity were related to post-buyout land management to varying degrees, thus reflecting differing degrees of social capital in buyout neighborhoods and therefore power to shape the management of post-buyout open space. Full article

For the first time, we explored the optical, electronic, mechanical, and structural properties of the Ruddlesden–Popper phase family member X₂CaTa₂O₇ (X = Li, Na, K, and Rb) by using density functional theory (DFT) with the Perdew–Burke–Ernzerhof (PBE) function in the generalized gradient approximation (GGA) framework. These materials show promising potential for energy conversion applications. Detailed investigations into structural parameters, band gaps, total and partial densities of states, and optical and mechanical properties demonstrate their suitability for photovoltaic technologies. The calculated electronic band gap structures and density of states demonstrate that X₂CaTa₂O₇ (X = Li, Na, K, and Rb) are semiconductors in nature with band gaps ranging from 1.52 eV to 3.02 eV. Measurements demonstrate substantial contributions from O-2p⁴, Ca-4p⁴, and Ta-4f¹⁴ orbitals to the electronic structures of the compounds. Moreover, the optical characteristics, like the reflectivity, absorption coefficients (10⁵ cm⁻¹), dielectric functions (8.5), refractive index (2–3), and optical conductivity (4–6 fs⁻¹), highlight the abilities of these compounds for optoelectronic and photovoltaic devices. Additionally, the mechanical properties measurements of the compounds show that they are capable for flexible electronic applications as well. This manuscript provides good insights into the design and development of the compounds capable for next-generation photovoltaic devices. Full article

Background/Objectives: Stroke is considered the second-leading cause of mortality and a primary contributor to adult disability among both men and women. The primary aim of this research is to conduct a comprehensive investigation into gender disparities and stroke subtypes concerning symptoms, risk factors, and clinical and laboratory aspects of stroke, with a specific focus on young stroke patients. Methods: In this retrospective comparative study, a total of 185 stroke patients were selected through random sampling from the neurology department of a local hospital in Pakistan between August 2022 and March 2024. Data collection was carried out using a standardized questionnaire, and the collected data were cleaned, processed, input, and analyzed using SPSS software version 24.0. Statistical analysis was performed using Pearson’s chi-square test for categorical variables, and descriptive statistics were utilized to present the frequency, percentages, means, and standard deviations of the variables. Statistical significance was set at a p-value of <0.05. Results: Out of the 185 participants in this study, 122 (65.9%) were male and 63 (34.1%) were female. The comparison of laboratory, clinical, and risk factors between males and females revealed a higher prevalence of smoking in males compared to females (p = 0.014). Additionally, higher levels of LDL and triglycerides were noted in males, while females showed a greater prevalence of vertigo (p = 0.002). No statistically significant differences were found in the comparison of laboratory and clinical characteristics among stroke types. In ischemic stroke patients, significant associations were found with symptoms such as loss of strength or weakness (p = 0.002), headache (p = 0.00001), and fever (p < 0.00001), although these associations did not differ by gender. Conclusions: The outcomes of this study underscore the disparities in stroke types and risk factors between genders, providing valuable insights for the development of gender-specific approaches for stroke assessment and prevention among young individuals in Pakistan. Full article

Background: Leber congenital amaurosis (LCA) is a congenital onset severe form of inherited retinal dystrophy (IRD) and a common cause of pediatric blindness. Disease-causing variants in at least 14 genes are reported to predispose LCA phenotype. LCA is inherited as an autosomal recessive disease. It can be an isolated eye disorder or as part of a syndrome, such as Senior Loken or Joubert syndrome. Sequencing studies from consanguineous populations have proven useful for novel variants identification; thus, the present study aimed to explore the genetic heterogeneity of 15 consanguineous Pakistani families, each segregating a severe IRD phenotype using targeted next generation sequencing. Methods: This study enrolled 15 consanguineous families, each with multiple affected cases of retinal dystrophy phenotype. DNA was extracted from blood samples. Targeted panel sequencing of 344 known genes for IRDs was performed, followed by Sanger sequencing for segregation analysis. Results: Data analysis revealed a total of eight reported (c.316C>T and c.506G>A in RDH12; c.864dup and c.1012C>T in SPATA7, as well as c.1459T>C, c.1062_1068del, c.1495+1G>A, c.998G>A in the CRB1, LCA5, TULP1, and IFT140 genes, respectively) and four novel homozygous (c.720+1G>T in LCA5, c.196G>C in LRAT, c.620_625del in PRPH2, and c.3411_3414del in CRB1) variants segregating with disease phenotype in each respective family. Furthermore, a novel heterozygous variant of CRB1 gene, i.e., c.1935delC in compound heterozygous condition was found segregating with disease phenotype in one large family with multiple consanguinity loops. Conclusion: Comprehensive molecular diagnosis of 15 consanguineous Pakistani families led to the identification of a total of 5 novel variants contributing to genetic heterogeneity of LCA-associated genes and helped to provide genetic counseling to the affected families. Full article

Zygophyllum propinquum (Decne.) is a leaf succulent C₄ perennial found in arid saline areas of southern Pakistan and neighboring countries, where it is utilized as herbal medicine. This study investigated how growth, water relations, ion content, chlorophyll fluorescence, and antioxidant system of Z. propinquum change as salinity levels increase (0, 150, 300, 600, and 900 mM NaCl). Salinity increments inhibited total plant fresh weight, whereas dry weight remained constant at moderate salinity and decreased at high salinity. Leaf area, succulence, and relative water content decreased as salinity increased. Similarly, the sap osmotic potential of both roots and shoots declined as NaCl concentrations increased. Except for a transitory increase in roots at 300 mM NaCl, sodium concentrations in roots and shoots increased constitutively to more than five times higher under saline conditions than in non-saline controls. Root potassium increased briefly at 300 mM NaCl but did not respond to NaCl treatments in the leaf. Photosynthetic pigments increased with 300 and 600 mM NaCl compared to non-saline treatments, although carotenoids appeared unaffected by NaCl treatments. Except for very high NaCl concentration (900 mM), salinity showed no significant effect on the maximum efficiency of photosystem II photochemistry (Fv/Fm). Light response curves demonstrated reduced absolute (ETR^*) and maximum electron transport rates (ETR_max) for the 600 and 900 mM NaCl treatments. The alpha (α), which indicates the maximum yield of photosynthesis, decreased with increasing NaCl concentrations, reaching its lowest at 900 mM NaCl. Non-photochemical quenching (NPQ) values were significantly higher under 150 and 300 mM NaCl treatments than under non-saline and higher NaCl treatments. Electrolyte leakage, malondialdehyde (MDA), and hydrogen peroxide (H₂O₂) peaked only at 900 mM NaCl. Superoxide dismutase and glutathione reductase activities and glutathione content in both roots and shoots increased progressively with increasing salinity. Hence, growth reduction under low to moderate (150–600 mM NaCl) salinity appeared to be an induced response, while high (900 mM NaCl) salinity was injurious. Full article

The aim of this study is to explore the influence of environmental, social, and governance (ESG) factors on business failure in Brazil by employing advanced machine learning techniques. We collected data from 235 companies and conducted principal component analysis (PCA) on 40 variables already used in the bankruptcy failure literature, resulting in the formation of seven variables that predict business failure. The results indicate that ESG factors significantly predict business failure in Brazil. This study has implications for investors, policymakers, and business leaders, offering a more precise tool for risk assessment and strategic decision-making. Full article

Pressmud, a by-product of sugarcane processing, is typically disposed of through incineration or landfilling, though it has considerable potential in organic agriculture. This study explored the composting of pressmud through bioaugmentation using specific bacterial strains. Two experimental setups were created: E2 with a cellulolytic and phosphorus-solubilizing strain, Bacillus amyloliquefaciens-ASK11, and E3 with a nitrogen-fixing strain, Bacillus megaterium-ASNF3. A control setup (E1) was also maintained without bacterial augmentation. Results indicated that the Bacillus-enhanced composts in E2 and E3 showed significant increases of 129% and 83% in nitrogen and of 49% and 91% in phosphorus contents, respectively, after 60 days. Additionally, organic matter decomposition improved by 49–50% in the bioaugmented setups after 60 days. FTIR analysis revealed organic phosphate peaks and P-O-C stretching bands at 1025 cm⁻¹ in the E2 compost, while a nitrogen vibration band at 3849 cm⁻¹ in E3 indicated significantly higher nitrogen content compared to the control. The Bacillus-enriched pressmud compost not only accelerated the composting process but also enhanced nutrient levels, positioning it as a promising biofertilizer for rehabilitating barren lands. Full article

An experiment was conducted to investigate the optimal use of high-salt water for alfalfa fodder growth and quality in Aridisol. The experiment included five treatments and was performed using a completely randomized design (CRD) as factorial design with three replications. We used a leaching fraction technique (LF), which is a mitigating technique (MT). The five treatments were T1 = MT1 as normal irrigation (control), T2 = MT2 as a leaching fraction (LF) of 15% with the same quality of water, T3 = MT3 as a LF of 30% with the same quality of water, T4 = MT4 as a LF of 15% with good-quality water (as percentage of total water), in the form of 2–3 irrigations every 3 months, and T5 = MT5 as a LF of 30% with good-quality water (as percentage of total water), in the form of 2–3 irrigations every 3 months. The duration of the experiment was three years and normal soil (non-saline, non-sodic) was used in the current study. Results showed that saline water irrigation negatively affected the growth traits, but the application of the LF technique with same-quality or good-quality water mitigated such negative effects. The fodder quality traits such as crude protein (CP), crude fiber (CF) and ashes were also affected in a negative way with the use of saline irrigation water. This negative impact was more intensified in the third year as the concentration of salts increased in saline water during the three years of the current investigation. A LF with canal water at 15 or 30% reduced the negative effects of salt stress and improved fodder biomass production and quality traits. For examples, using a LF with canal water at 30% increased the biomass production to 33.30 g and 15.87 g when plants were irrigated with W1 and W5, respectively. In addition, it improved quality traits such as crude protein content (5.54% and 3.73%) and crude fiber content (14.55% and 12.75%) when plants were irrigated with W1 and W5, respectively. It was concluded that the LF technique can be recommended for practice in the case of saline water irrigation for the optimized growth and quality of alfalfa fodder. Full article

Proper nitrogen management in crops is crucial to ensure optimal growth and yield maximization. While hyperspectral imagery is often used for nitrogen status estimation in crops, it is not feasible for real-time applications due to the complexity and high cost associated with it. Much of the research utilizing RGB data for detecting nitrogen stress in plants relies on datasets obtained under laboratory settings, which limits its usability in practical applications. This study focuses on identifying nitrogen deficiency in maize crops using RGB imaging data from a publicly available dataset obtained under field conditions. We have proposed a custom-built vision transformer model for the classification of maize into three stress classes. Additionally, we have analyzed the performance of convolutional neural network models, including ResNet50, EfficientNetB0, InceptionV3, and DenseNet121, for nitrogen stress estimation. Our approach involves transfer learning with fine-tuning, adding layers tailored to our specific application. Our detailed analysis shows that while vision transformer models generalize well, they converge prematurely with a higher loss value, indicating the need for further optimization. In contrast, the fine-tuned CNN models classify the crop into stressed, non-stressed, and semi-stressed classes with higher accuracy, achieving a maximum accuracy of 97% with EfficientNetB0 as the base model. This makes our fine-tuned EfficientNetB0 model a suitable candidate for practical applications in nitrogen stress detection. Full article