Search Results (49)

Sparsity-driven regularization has undergone significant development in single-image restoration, particularly with the transition from handcrafted priors to trainable deep architectures. In this work, a geometric prior-enhanced deep image prior (DIP) framework, termed DIP-MC, is proposed that integrates mean curvature (MC) regularization to promote natural smoothness and structural coherence in reconstructed images. To strengthen the representational capacity of DIP, a self-attention module is incorporated between the encoder and decoder, enabling the network to capture long-range dependencies and preserve fine-scale textures. In contrast to total variation (TV), which frequently produces piecewise-constant artifacts and staircasing, MC regularization leverages curvature information, resulting in smoother transitions while maintaining sharp structural boundaries. DIP-MC is evaluated on standard grayscale and color image denoising and deblurring tasks using benchmark datasets including BSD68, Classic5, LIVE1, Set5, Set12, Set14, and the Levin dataset. Quantitative performance is assessed using peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) metrics. Experimental results demonstrate that DIP-MC consistently outperformed the DIP-TV baseline with 26.49 PSNR and 0.9 SSIM. It achieved competitive performance relative to BM3D and EPLL models with 28.6 PSNR and 0.87 SSIM while producing visually more natural reconstructions with improved detail fidelity. Furthermore, the learning dynamics of DIP-MC are analyzed by examining update-cost behavior during optimization, visualizing the best-performing network weights, and monitoring PSNR and SSIM progression across training epochs. These evaluations indicate that DIP-MC exhibits superior stability and convergence characteristics. Overall, DIP-MC establishes itself as a robust, scalable, and geometrically informed framework for high-quality single-image restoration. Full article

Soybeans (Glycine max) are nutrient-dense legumes and a high-quality plant-based protein source containing all essential amino acids. With a protein content of 36–40%, soy surpasses many other plant-derived proteins in nutritional value. Its bioactive components, particularly peptides and isoflavones, contribute to reducing inflammation, oxidative stress, and the risk of chronic diseases. In undernourished regions such as Pakistan, where protein-energy malnutrition is prevalent among women and children, soy offers a sustainable and cost-effective nutritional intervention. This review synthesizes findings from biochemical analyses, nutritional profiling, and clinical trials evaluating the impact of soybean protein and its bioactive compounds on growth, metabolic health, immune function, and disease prevention. Emphasis was placed on studies relevant to food-insecure populations and technological innovations enhancing soy product bioavailability. Soy protein has been shown to have positive effects on hormonal regulation, cardiovascular health, cognitive function, and immune support. Technological approaches such as fortification and fermentation improve nutritional bioavailability and sensory acceptance. The integration of soy into local diets enhanced nutritional adequacy, promoted environmental sustainability, and aligned with Sustainable Development Goals. Soybeans represent a sustainable, nutrient-rich solution to combat protein-energy malnutrition in vulnerable communities. Their high-quality protein profile, therapeutic properties, and adaptability to local food systems make them an effective strategy for improving public health and supporting environmental resilience. Full article

Biofortification has emerged as an important approach for improving minerals and vitamin deficiencies through the application of agronomic and biotechnological methodologies. Vitamin A, one of the most deficient vitamins, disproportionately affects children in developing countries, highlighting the urgent need for vitamin A-enriched cultivars. The present study aimed to characterize common bean germplasm for vitamin A contents and to identify the genomic regions associated with this trait. A total of 177 common bean landraces and 6 commercial cultivars were evaluated under five environments and two locations. Analysis of variance revealed highly significant environmental effects and genotype × environment interactions. Across all years and all locations, Bilecik-6 exhibited the lowest vitamin A contents (1.67 µg/100 g dry seed), while Civril-Bolu had the highest (3.23 µg/100 g dry seed). Landraces from Balıkesir province were found to be rich in vitamin A content and should be considered as potential genetic resources for common bean biofortification. Additionally, a genomic region located on Pv06 was identified as being linked to vitamin A content. The genomic and genetic resources identified in this study will be valuable for the breeding community aiming to develop vitamin A-enriched common bean cultivars. Full article

Measuring limb joint angles is crucial for understanding horse conformation, performance, injury diagnosis, and prevention. While Thoroughbred horses have been extensively studied, local Pakistani breeds (e.g., Morna racehorse) have not received scientific attention. This study aimed to quantify normal angles of limb joints in the Morna breed. Limb joint angles of standing horses (n = 50) were quantified using a measuring tape, height stick, protractor scale, and goniometer. The mean and standard deviation (Mean ± SD) values for the forelimb joint angles were 123.02 ± 3.46° for elbow, 171.52 ± 2.39° for knee, and 147.68 ± 5.11° for fetlock. The mean ± SD values for the hindlimb joint angles were 128.62 ± 4.08° for stifle, 160.40 ± 3.89° for hock, and 155.48 ± 2.68° for fetlock. There was a non-significant (p > 0.05) correlation between horse joint angles and, age, body weight, and body condition score (BCS). The elbow and stifle joint angles of Morna align well with characteristics associated with optimal racing performance. However, the hock and fetlock angles differ from jumping Thoroughbred and French trotters. We recommend further research to examine the conformation of the Morna breed, particularly by measuring the lengths of limb segments and correlating it with joint angles. This may provide valuable insights into individual variations within the breed. Full article

Background/Objective: Ultraviolet (UV) B radiation leads to DNA damage by generating cyclobutane pyrimidine dimers (CPDs). UVB-induced CPDs can also result in immune suppression, which is a major risk factor for non-melanoma skin cancer (NMSC). UVB-induced CPDs are repaired by nucleotide repair mechanisms (NER) mediated by xeroderma pigmentosum complementation group A (XPA). The purpose of this study was to investigate the use of TH as a chemopreventive agent against the development of skin cancer. Method: SKH-1 hairless mice were exposed were fed with TH (0.1% v/v) for two weeks and exposed to a single dose of UVB (180 mJ/cm²). Dorsal skin was harvested 24 h post-UVB exposure for evaluation of DNA damage and repair. Lymph nodes were also harvested to prepare single cell suspension for flow cytometric evaluation. For carcinogenesis experiments, SKH-1 hairless mice were given TH (0.1% v/v) ad libitum and exposed to UVB (180 mJ/cm²) thrice a week for 30 weeks. Results: Feeding SKH-1 hairless mice with TH (0.1% v/v) for two weeks prior to a single dose of UVB (180 mJ/cm²) led to a significant increase in XPA in skin and DNA repair cytokines IL-12 and IL-23 in draining lymph nodes. Furthermore, when subjected to the photocarcinogenesis protocol; mice fed with TH developed significantly fewer tumors in comparison to mice fed on drinking water. Conclusions: Our data demonstrate that TH has a protective effect against UVB-induced DNA damage, immune suppression, and skin cancer. Future studies will further investigate the potential of TH as a preventive treatment for NMSC. Full article

Urbanization and climate change pose a critical challenge to stormwater management, particularly in rapidly developing cities. These cities experience increasingly impervious surfaces and more intense rainfall events. This study investigates the effectiveness of the existing drainage system in Lahore, Pakistan, a megacity challenged by rapid urbanization and the impacts of climate change. To address the lack of predefined storm patterns and limited historical rainfall records, we employed a well-established yet adaptable methodology. This methodology utilizes the log-Pearson type III (LPT-III) distribution and alternating block method (ABM) to create design hyetographs for various return periods. This study applied the stormwater management model (SWMM) to a representative community of 2.71 km² to assess its drainage system capacity. Additionally, geographic information systems (GISs) were used for spatial analysis of flood risk mapping to identify flood-prone zones. The results indicate that the current drainage system, designed for a 2-year return period, is inadequate. For example, a 2-year storm produced a total flood volume of 0.07 million gallons, inundating approximately 60% of the study area. This study identified flood risk zones and highlighted the limitations of the system in handling future, more intense rainfall events. This study emphasizes the urgent need for infrastructure improvements to handle increased runoff volumes such as the integration of low-impact development practices. These nature-based solutions enhance infiltration, reduce runoff, and improve water quality, offering a sustainable approach to mitigating flood risks. Importantly, this study demonstrates that integrating LPT-III and ABM provides a robust and adaptable methodology for flood risk assessment. This approach is particularly effective in developing countries where data scarcity and diverse rainfall patterns may hinder traditional storm modeling techniques. Our findings reveal that the current drainage system is overwhelmed, with a 2-year storm exceeding its capacity resulting in extensive flooding, affecting over half of the area. The application of LPT-III and ABM improved the flood risk assessment by enabling the creation of more realistic design hyetographs for data-scarce regions, leading to more accurate identification of flood-prone areas. Full article

This study proposes a fusion approach to enhancing urban remote sensing applications by integrating SAR (Sentinel-1) and optical (Landsat-8) satellite datasets. The fusion technique combines feature-based fusion and simple layer stacking (SLS) to improve the accuracy of urban impervious surface (UIS) extraction. SAR textures and modified indices are used for feature extraction, and classification is performed using the XGBoost machine learning algorithm in Python and Google Earth Engine. The study focuses on four global cities (New York, Paris, Tokyo, and London) with heterogeneous climatic zones and urban dynamics. The proposed method showed significant results. The accuracy assessment using random validation points shows an overall accuracy of 86% for UIS classification with the SLS method, outperforming single-data classification. The proposed approach achieves higher accuracy (86%) compared to three global products (ESA, ESRI, and Dynamic World). New York exhibits the highest overall accuracy at 88%. This fusion approach with the XGBoost classifier holds potential for new applications and insights into UIS mapping, with implications for environmental factors such as land surface temperature, the urban heat island effect, and urban pluvial flooding. Full article

Since the Palaeozoic era, fire as a potent driver of environmental changes, has dramatically shaped the terrestrial ecosystems. Fire affects soil structure and composition, which in turn affects the floral diversity of an area. This research work aims to examine the impact of fire on vegetation and the physicochemical nature of the soil in fire-affected and fire-free sites across the Mahaban and the surrounding forests, Swabi District, Khyber Pakhtunkhwa, Pakistan. Quadrat quantitative ecological techniques were used for vegetation sampling in fire-free and fire-affected sites. In total, 219 plant species belonging to 173 genera and 70 families were recorded. Among the 219 plant species, 173 species were recorded from fire-free sites and the remaining 122 species were from fire-affected sites. The incidence of fire results in elevated organic matter, nitrogen, phosphorus, and lower calcium carbonate concentrations in the soil. The greatest species richness and evenness were observed across the fire-free sites. Our study concludes that the influence of edaphic and topographic factors on species richness varies between fire-affected and fire-free sites. Fire has significantly altered the nutrient availability in the studied region, and this is confirmed by soil analysis and vegetation research. It is suggested that further research in the field of fire ecology can produce valuable insights. Full article

To date, no study has reported the anticoccidial effect of lemon peel powder in broilers. Coccidiosis, caused by Eimeria species, is the prevalent enteric parasitic disease in poultry. Although certain chemical drugs have been used for their control, concerns regarding drug residues and the development of resistance in chickens have arisen among consumers. In this study, a total of 300 Ross 308 broiler chicks were randomly allocated into five groups (five equal replicates of 12 animals). The first group served as the control and did not receive any specific treatment (NC). The second group, referred to as the positive control (PC) group, was deliberately exposed to Eimeria tenella. The third group was challenged with E. tenella and also received treatment with amprolium (1 g/kg) and was designated as AT. The fourth and fifth groups were challenged with E. tenella and simultaneously supplemented with lemon peel powder at a dosage of 3 g/kg (LPP3) and 6 g/kg (LPP6). Sporulated E. tenella oocysts (5 × 10⁴/mL bird) on day 22 of the experiment were administered to the infected broiler chickens. The results indicated that in comparison with the NC, all Eimeria-treated birds exhibited significantly (p < 0.05) lower growth performance. However, a notable improvement was observed when infected birds also received a supplement of LPP3 and LPP6 in their feed. Both LPP3 and LPP6 supplementation significantly (p < 0.05) reduced mortality, lesion scores, and oocyst per gram (OPG) of feces compared with the PC group. Additionally, the histological features of the cecum revealed that villus height, villus width, and crypt depth were partially restored under supplementation with LPP3 and LPP6 in the infected birds. Overall, the results demonstrate that Eimeria-infected birds supplemented with LPP3 and LPP6 exhibited improved growth performance, reduced OPG, lowered intestinal coccidiosis lesion scores, and enhanced intestinal histological features. Full article

The current study aimed to evaluate the impact of increasing cooling sessions from three to five times a day on milk yield and the welfare of dairy buffaloes during a semiarid summer in Pakistan. Eighteen Nili Ravi buffaloes were randomly assigned to three cooling strategies: (1) CTL, where buffaloes were cooled with a handheld hosepipe twice daily for 5 min each; (2) 3CS, where buffaloes were cooled using sprinklers three times daily; and (3) 5CS, where buffaloes were cooled using sprinklers five times daily. Each sprinkler cooling session lasted 1 h, with a 6 min cycle of 3 min of water on and 3 min off. Results showed that the 5CS group produced 1.6 and 3.2 kg more milk per day compared to the 3CS and CTL groups, respectively (p < 0.001). Both the 5CS and 3CS groups had consistently lower core body temperatures and respiration rates than the CTL group. Buffaloes in the 5CS group spent significantly more time eating (p < 0.001). Additionally, the 5CS group exhibited lower cortisol and blood urea nitrogen levels (p = 0.001) and higher glucose levels than the CTL group (p = 0.006). In conclusion, increasing cooling sessions to five times daily improved milk yield and welfare compared to the traditional cooling strategy (CTL) in dairy buffaloes during semiarid summers, highlighting the benefits of optimized cooling practices. Full article

This article explores the contribution of modern Muslim revivalism to Muslims’ political decolonization, and the paradoxical role the West plays in that process. On the one hand, revivalism rejects the founding principles of liberal political theory, and on the other hand, it readily adopts the salient structures and mechanisms of the modern polity with a view to Islamize them, all the while insisting on the Muslims’ need to de-Westernize. Toward revealing the hitherto neglected dimensions of revivalism, my analysis adopts an unconventional route by subjecting revivalism to a semiotic analysis in conversation with the archetypal theories of Mircea Eliade and Carl G. Jung. The analysis unveils the universal psychological structures of revival, and their specific Muslim symbolization. I conclude (a) that depth psychology makes modern Muslim revival inevitable, which will only grow stronger and gain wider appeal while the Muslims continue to suffer decline; (b) that among the different forms of Muslim revival, revivalism ventures the farthest in decolonizing Muslim political imagination; (c) that the revivalist imagination makes their espoused caliphate imperative for the purpose of ritual participation in Islam’s sacred origins; and (d) that a critical reconstruction and evolution of revivalism holds out the promise of a greater contribution to Muslim decolonization. For my analysis, I largely turn to the Pakistani political theologian Israr Ahmad (d. 2010), whose ideas have been disseminated widely across the Muslim world, yet who has not received the requisite academic scrutiny. Moreover, intra-revivalist critique of revivalism has been a neglected aspect in the study of revival, and its careful scrutiny should become a topic of investigation in its own right. In that regard, Ahmad offers a most important critique of earlier revival efforts and their entanglement with certain aspects of coloniality. Full article

The Begomovirus genus of the family Geminiviridae comprises the largest group of geminiviruses. Begomoviruses are transmitted by the whitefly complex (Bemisia tabaci) and infect dicotyledonous plants in tropical and subtropical regions. The list of begomoviruses is continuously increasing as a result of improvements in the methods for identification, especially from weed plants, which are considered a source of new viruses and reservoirs of economically important viruses but are often neglected during diversity studies. Lathyrus aphaca L. weed plants (yellow-flowered pea) with varicose veins and discoloration of the leaves were found. Amplified genomic DNA through rolling circular amplification was subjected to PCR analysis for the detection of the viral genome and associated DNA-satellites (alphasatellites and betasatellites). A full-length sequence (2.8 kb) of a monopartite begomovirus clone was determined; however, we could not find any associated DNA satellites. The amplified full-length clone of Rose leaf curl virus (RoLCuV) reserved all the characteristics and features of an Old World (OW) monopartite begomovirus. Furthermore, it is the first time it has been reported from a new weed host, yellow-flowered pea. Rolling circle amplification and polymerase chain reaction analysis of associated DNA satellites, alphasatellite, and betasatellite, were frequently accomplished but unable to amplify from the begomovirus-infected samples, indicating the presence of only monopartite Old World begomovirus. It is observed that RoLCuV has the capability to infect different hosts individually without the assistance of any DNA satellite component. Recombination in viruses is also a source of begomovirus infection in different hosts. Full article

Climate change has a profound impact on global biodiversity and species geographical distribution, especially in alpine regions. The prediction of species’ habitat could help the understanding of species’ responses to potential climate threats. Triosteum L. (1753) is a typical mountain plant with medicinal and ecological value. There are three species of this genus in East Asia. Triosteum Pinnatifidum Maxim. 1888 and Triosteum himalayanum Wall. 1829 are mainly distributed in the Qinghai–Tibet Plateau and its surroundings, and they are sensitive to climate changes. In this study, a MaxEnt model was used to predict the potential distribution of T. Pinnatifidum and T. himalayanum in the present time and at four different time periods in the future under two different Shared Socioeconomic Pathways (SSPs). Topographic factors were taken into account in the prediction. In the present study, the accuracy of the model’s prediction was verified (the AUC values are 0.975 and 0.974), and the results indicate that temperature is the key factor that affects the distribution of these two species. Compared with current distribution, the potential suitable area of T. Pinnatifidum will increase in the future under two types of SSPs (an average increase is 31%), but the potential suitable area of T. himalayanum will decrease significantly (the average area is 93% of what it was before). In addition, the overlap of potential suitable areas of these two species will also expand, potentially affecting their hybridization and interspecific competition. The centroids of T. Pinnatifidum will migrate to the east, but the trajectory of centroids of T. himalayanum is complex. This study could provide basic data for the resource utilization and biogeography research of Triosteum. It will also be helpful for conservation and sustainable use of mountain herbaceous plants under climate change. Full article

This study proposes the use of symmetrical ogive-shaped ribs on the walls of microchannel heat sinks (MCHS) to improve their thermal performance with minimal pressure drop. The ribs are arranged in three different configurations: ribs attached to all channel walls (MC-SAWR), ribs attached to side channel walls (MC-SSWR), and ribs attached to the bottom channel wall (MC-SBWR). Numerical investigations are conducted using the laminar conjugate heat transfer model to study the flow and heat transfer characteristics of the MCHS. The augmentation entropy generation number and thermal enhancement factor criterion are used to quantify the overall hydrothermal performance of the MCHS. The results show that the inclusion of symmetrical ogive-shaped ribs improves the Nusselt number of MCHS. The MC-SAWR configuration shows the highest Nusselt number improvement of 13–50% compared to the smooth MCHS over the Reynolds number range of 100–1000. Additionally, the MC-SAWR configuration shows a maximum reduction of 58% in the total entropy generation rate as it has the smallest augmentation entropy generation number value of 0.42. In terms of the thermal enhancement factor criterion, the MC-SSWR configuration shows the highest performance at Reynolds numbers below 400, but the MC-SAWR configuration outperformed the MC-SSWR configuration at Reynolds numbers above 400. Therefore, the MC-SAWR configuration is the best configuration that provides high cooling performance. Full article

Heat loss through the building envelope comprises air leaks through the cracks and largely through the windows, which is the weakest link of the thermal envelope. Therefore, it is necessary to devise a systematic approach to analyze the rightful selection of glass for buildings. The investigation is to analyze the energy-saving potential of different glasses and their comparisons to the initial capital cost to find the payback time in terms of energy saving by using two different types of equipment. The quantitative simulation study was completed on the Hourly Analysis Program (HAP) to analyze the annual energy consumption of the HVAC system for seven glasses and two types of chilled water equipment. The results show that the performance glasses with a tint had better efficiency in terms of energy saving, with a payback time of 3–7 months. A comparison of all glasses illustrated that float glass contributes the most to the total cooling load among all glasses, which were 5.04%, 5.7%, 7.6%, and 8.9% for the N, S, E, and W orientations, respectively. Moreover, the lowest contribution of glass to the total cooling load was given by tinted double-glazed glass, which was 2%, 2.3%, 3.0%, and 3.01% for N, S, E, and W orientations, respectively. Full article