Search Results (161)

The cigarette butt (CB) recycling process yields several byproducts, including cleaned filters, solid debris (mainly paper and tobacco), and wastewater. This study aimed to assess, for the first time, the long-term suitability of these recycled byproducts for turfgrass cultivation. Under controlled conditions, Paspalum vaginatum Swartz was grown in sand–peat substrate, either unmodified (control) or amended with small pieces of uncleaned CBs or solid byproducts from CB recycling at concentrations of 25% or 50% (v/v). In additional tests, turfgrass grown in unmodified substrate received wastewater instead of tap water once or twice weekly. Over 7 weeks, physiological and biometric parameters were assessed. Plants grown with solid debris showed traits comparable to the control. Those grown with intact CBs or cleaned filters had similar biomass and coverage as the control but accumulated more carotenoids and antioxidants. Wastewater significantly enhanced plant growth when applied once weekly, while becoming toxic when applied twice, reducing biomass and coverage. After scalping, turfgrass recovered well across all treatments, and in some cases biomass improved. Overall, recycled CB byproducts, particularly wastewater used at optimal concentrations, can be a sustainable resource for promoting turfgrass growth. Full article

Stephanopodium engleri Baill. is an endangered tree species from the Dichapetalaceae family and endemic to the Iron Quadrangle region of Brazil. Recalcitrance and low seed viability limit conventional seedling production, making vegetative propagation a crucial alternative for conservation efforts. This study evaluated the rooting and sprouting potential of different cutting types (apical, middle, and basal segments from the main stem, as well as the tip and the herbaceous and woody segments from the lateral branches) treated with Indole-3-Butyric Acid (IBA) at varying concentrations (0, 1, 2, 3, and 4 g L⁻¹) and immersion durations (5 s to 10 min). Cuttings were collected from 12-month-old plants grown under controlled conditions and planted in Carolina Soil^® substrate after treatment. Sprouting and rooting rates varied significantly between cutting types, with basal main stem cuttings showing the highest rooting success, particularly at 3 g L⁻¹ of IBA. These cuttings also exhibited more and longer roots and enhanced sprouting-related biometric traits. Shorter immersion times (15 s and 1 min) were the most effective, promoting root formation while avoiding the potential inhibitory effects of prolonged exposure. Our findings provide a practical protocol for large-scale seedling production of S. engleri while minimizing impacts on wild populations. The effective use of vegetative propagation could facilitate the expansion of S. engleri populations in their natural habitats, enhancing conservation efforts and ensuring sustainable species management. Full article

A fuzzy extractor is a foundational cryptographic component that enables the extraction of reproducible and uniformly random strings from sources with inherent noise, such as biometric traits. Reusable fuzzy extractor guarantees the security of multiple extractions from the same noisy source. In addition, although isogeny-based cryptography has become an important branch in post-quantum cryptography, the study of fuzzy extractors based on isogeny assumptions is still in its early stages and holds much room for improvement. In this paper, we give two reusable fuzzy extractor schemes derived from isogeny-based assumptions: one is based on the linear hidden shift assumption over group actions, while the other is built upon the group-action decisional Diffie–Hellman assumption within the isogeny framework. Both proposed constructions achieve post-quantum security and are capable of correcting a linear proportion of errors. They rely solely on fundamental cryptographic primitives, which ensure simplicity and efficiency. Additionally, the second construction is based on restricted effective group action, which is weaker than the effective group action used in the first construction, thereby offering greater practical applicability. Full article

Soil compaction is a well-known harmful process for germination and seedling growth. Studies about compaction in mining tailings have been neglected despite being essential for the reforestation of impacted areas. This work evaluated the effects of compaction of iron mining tailings on the seedling emergence, early growth, and photosynthesis of Schinus terebinthifolia Raddi, a tolerant species with potential for reforestation. Experiments were implemented in a greenhouse where seeds of S. terebinthifolia were sown in iron mining tailings with four compaction treatments: (1) an uncompacted dry tailing, (2) uncompacted moistened tailing, (3) compacted dry tailing, and (4) compacted moistened tailing. Penetration resistance, seedling emergence, emergence speed index, seedling biometry, and photochemical traits were evaluated. Compacted moistened tailings showed the highest penetration resistance and uncompacted dry tailings the lowest. Other treatments showed intermediate means. The compacted moistened tailings produced the lowest seedling emergence rate and emergence speed index, and these parameters showed the highest means at uncompacted dry tailings with other treatments showing intermediate means. The compaction did not affect the seedling’s biometric parameters, with a similar growth among all treatments. S. terebinthifolia seedlings showed improved growth parameters during the experimental period, evidencing the potential of the species for the reforestation of impacted areas by iron mining tailings. Full article

Blueberry breeding requires a significant commitment of time, skilled labour, and financial resources, but it is essential to develop new cultivars that can meet challenges such as climate change, disease resistance, and changing market preferences. Intraspecific hybridisationis a widely used breeding strategy to increase genetic diversity, broaden the selection base, and develop new cultivars. By crossing different varieties and making advanced selections, breeders can introduce desirable traits such as improved fruit quality, increased yield, improved disease resistance and greater adaptability to environmental conditions. The present study aimed to evaluate the heritability of some key biometric and biochemical parameters inblueberry hybrids derived from intraspecific crosses to assess their inheritance patterns. The results can guide breeders in selecting parent combinations that maximise genetic gain, ultimately supporting the advancement of commercial blueberry production. The ‘Delicia × 4/6’ hybrid combination showed excellent performance for total polyphenol content, flavonoids, tannins, and ascorbic acid, with high genetic gain and near complete heritability, making it a promising candidate for improving antioxidant activity. The ‘Azur × Northblue’ hybrid had favourable total anthocyanin and tannin content, but an unfavourable sugar and ascorbic acid profile.The ‘Simultan × Duke’ hybrid combination showed the highest genetic gain for total soluble solids and firmness, together with high positive heterosis and heterotic progress, highlighting its potential for high-quality cultivars suitable for mechanical harvesting and storage. This research provides valuable insights into the efficiency of intraspecific hybridisationin the development of new blueberry cultivars with improved agronomic and nutritional qualities. Full article

Efficient fruit production, quality improvement, and timely harvesting are essential in olive cultivation, which requires optimised distribution and management of fruiting sites. This study aimed to support sustainable olive crop management by analysing the morphological characteristics of five cultivars (Chemlali, Chetoui, Koroneiki, Meski, and Picholine) under semi-arid Tunisian conditions. Through a detailed architectural analysis, we investigated the relationships between branching patterns, density, distribution of inflorescence and fruit sites, biometric traits (shoot length, internode number, and shoot dimensions), and geometric variability within each cultivar. Three trees per cultivar were analysed across three architectural units. The results showed marked architectural differences, highlighting the need for cultivar-specific strategies in planting, pruning, and orchard management. The distribution of shoots across botanical orders revealed unique branching patterns: Chemlali and Koroneiki showed thinner shoots and higher shoot density, reflecting strong apical dominance and their suitability for hyper-intensive systems. In addition, nonsignificant differences in long shoots’ insertion angles between Meski, Chetoui, and Koroneiki suggest compatibility for co-cultivation, facilitating mechanised maintenance and harvesting. Emphasis on inter-cultivar compatibility and architectural coherence is crucial for orchard design. These findings provide important insights for optimising orchard management practices to improve productivity, fruit quality, and operational efficiency. Full article

The authors examine the transformative impact of technological advancements on the customary traditions associated with camels in the United Arab Emirates (UAE). We conducted 21 semi-structured interviews with Emirati camel owners/breeders, focusing on the effects of innovations in breeding, racing, beauty contests, and heritage preservation. The findings reveal that genetic technologies have reshaped camel husbandry by enhancing desirable traits, while introducing commercialization. In camel racing, robotic jockeys, biometric monitoring, and GPS tracking have revolutionized training and competition, making the sport a highly regulated, technology-driven industry. Similarly, camel beauty contests have been influenced by genetic selection, aesthetic standards, and controversial cosmetic enhancements. While these advancements have increased the economic value of camels, they have also altered traditional perceptions, raising concerns about the commodification of Emirati heritage. Additionally, online platforms and digital tools have facilitated the global promotion of camels, fostering connections between owners/breeders and enthusiasts, while introducing new modes of engagement. The study demonstrates how technological progress both preserves and challenges the customary traditions associated with camels, offering insights into the intersection of modernization and cultural heritage in the UAE. Full article

Recently, electrocardiography (ECG) has attracted significant attention in the field of biometrics, presenting a compelling alternative for biometric recognition based on physical or biological traits. Impressive application results have been achieved by existing methods, the majority of which are designed in the batch processing mode. The batch mode inherently assumes that all data can be acquired prior to training the final model and that no new data will subsequently arrive. Clearly, this assumption is unrealistic, as real-world data often arrive in a streaming fashion, meaning that they are continuously generated and transmitted. When confronted with streaming data, traditional batch-based methods require re-training on all the data once again, including both the newly arrived data and the previously trained data. Consequently, these methods lead to redundant calculations and significant expenses. To overcome this limitation, we propose a new online method for ECG biometrics that incrementally learns from streaming data. Our method updates itself with only the new arriving data, eliminating the need to retrain with both old and new data. To enhance the discriminative power of to-be-learned sample representations, we introduce two novel modules: bidirectional regression and prototype learning. Since our method does not revisit old data when new data arrive, we incorporate a memory enhancement module to mitigate the catastrophic forgetting problem caused by a lack of exposure to old data. Furthermore, we design a novel and efficient online optimization algorithm to minimize the overall loss function. Extensive experiments conducted on two widely used datasets demonstrate the effectiveness of our proposed method. Full article

Intercropping of trees and classical crops has been proposed as a practice to help adapt to climate change and protect soil against erosion. However, the effects of intercropping on soil biology are not sufficiently quantified. Therefore, the aim of this study was to evaluate microbiological changes in the soil resulting from the intercropping of Paulownia and buckwheat. A field experiment, involving an intercropping and control no-tree variant, was conducted from 2019 to 2022 with a plot size of 30 m². Buckwheat rhizosphere soil samples were collected twice in both 2021 and 2022 in order to evaluate the effects of intercropping on a range of parameters describing soil microbiome status: abundance of microorganisms, bacterial and fungal community structure (using Illumina MiSeq sequencing), dehydrogenases (DHA) activity, and total glomalin-related soil proteins (T-GRSP). In addition, the colonisation of buckwheat roots by fungi, yield, and biometric traits of the plant were determined. Next-generation sequencing showed that Actinobacteria, Proteobacteria, and Acidobacteria were dominant in the microbiome of every variant of the experiment, regardless of the crop. In contrast, the mycobiome was dominated by fungi classified as Ascomycota and Mortierellomycota. This observation corresponded to an increase in buckwheat yield in intercropped plots. Biometric traits, namely buckwheat yield and total kernel weight per plant, showed higher values when buckwheat was intercropped with Paulownia compared to the control. DHA activity was stimulated by intercropping at the first sampling date, whereas glomalin concentration and abundance of microorganisms were not dependent on the cropping systems tested. This study shows that tree-based intercropping (TBI) systems promote a more diverse soil microbial community and function than conventional agriculture. Our results also suggest that TBI positively impacts buckwheat biometric traits, supporting its implementation in rural landscapes. The yield under intercropping cultivation amounted to 0.65 t ha⁻¹, while in control sites it was 0.53 t ha⁻¹. The total abundance of bacteria under intercropping cultivation was higher compared to monoculture in 2021 at the first term of sampling (4.3 × 10⁴) and in 2022 in the second term of soil sampling (4.6 × 10⁴). Full article

Background/Objectives: Parkinson’s disease (PD) is a complex neurodegenerative disorder responsible for both motor and non-motor disturbances impairing motor behavior. This complexity necessitates integrated, multidisciplinary, and comprehensive models of care. A new and interesting complementary approach is represented by “Dance Well”, i.e., an artistic, multisensory dance intervention based on art and music. This pilot study aims to evaluate the efficacy, feasibility, and safety of a 4-week Dance Well (DW) program in PD patients in early–medium disease stages. Methods: Twenty-four PD patients (H&Y ≤ 3; MoCA score ≥ 13.8) were enrolled and randomly allocated into two groups, both with a twice-per-week frequency and lasting 4 weeks: one group underwent the DW program, while the other underwent conventional physiotherapy (CPT). Demographic, biometric, and clinical data were collected. To study the treatment effect, motor (Unified PD Rating Scale-III, Timed Up and Go Test, Berg Balance Scale, 6-Minute Walk Test, and Falls Efficacy Scale), cognitive (Corsi Supra Span Test, Trail Making Test A and B-A), and emotional–motivational (Beck Depression Inventory, State-Trait Anxiety Inventory, Apathy Evaluation Scale) outcome measures were assessed, before and after the rehabilitation program. To study treatment compliance and safety, the number of dropouts and any adverse events (such as injuries and falls) were recorded. Results: All outcome measures improved in both groups. The percentage of improvement in outcome measures assessing attention and motivation was greater in the DW group. No dropouts, falls, or injuries occurred. Conclusions: In the early–medium stages of PD, DW could be considered a feasible and safe complementary treatment, useful in improving motor, cognitive, and emotional–motivational symptoms. Full article

The usage of photoselective anti-hail nets is a modern approach to protect crops from adverse climatic factors with additional beneficial effects on orchard performance. Therefore, this study explored the impact of photoselective nets (blue, red, pearl, and yellow net) and the black net on the microclimate, plant growth, yield, ripening time, and fruit quality attributes of the blueberry cultivar ‘Duke’. The Photosynthetic Photon Flux Density values were elevated under the pearl and yellow nets in both years studied. Average daily air temperatures did not differ between the nets in 2022, while a slight decrease was registered under the black net in 2023. The red net enhanced the average number of younger and total number of shoots per bush and also caused a notable increase in the fruit number and yield per bush, as well as fruit weight, compared to the other tested nets. The pearl net accelerated the onset of ripening in both years studied, while the blue and yellow net delayed ripening in 2022 and 2023, respectively. The blue net was distinguished by the increased blueness of fruit skin and total soluble solids/titratable acidity ratio, while individual sugar types and organic acids were more influenced by the season. The findings indicate that the red net performed the best in terms of most agronomic and biometrical fruit traits of the potted highbush blueberry cultivar ‘Duke’. Full article

Face recognition is a fundamental and versatile technology widely used to identify individuals. The human face is a significant nonintrusive biometric modality, attracting numerous research studies. Still, much less focus has been on side-face views, with the majority merely or mainly concentrating on the frontal face. Despite offering fewer traits than the front viewpoint, the side viewpoint of the face is a crucial aspect of an individual’s identity and, in numerous cases, can be the only available information. Our research proposes new soft biometric traits based on the face anthropometric that can be invariantly extracted from the front and side face. We aim to extract and fuse them with vision-based deep features to augment zero-shot side face recognition. Our framework uses the person’s front face information solely for training, then uses their side face information as the only query for biometric matching and identification. For performance evaluation and comparison of the proposed approach, several feature-level fusion experiments were conducted on the CMU Multi-PIE dataset. Our results demonstrate that fusing the proposed face soft traits with the ResNet-50 deep features significantly improves performance. Furthermore, adding global soft biometrics to them improves the accuracy by up to 23%. Full article

During our research on the diversity of diatoms and green microalgae from Egypt, four new-to-science, newly recorded, and poorly known species were retrieved from different Egyptian habitats. The new benthic diatom species Halamphora shaabanii A.A. Saber, El-Sheekh, Levkov, H. Saber et Cantonati sp. nov., which could not be identified using the currently available literature, was described from the high-conductivity, oasis lake Abu Nuss in the El-Farafra Oasis, located in the Western Desert of Egypt, employing both light (LM) and scanning electron (SEM) microscopy observations. A detailed comparison of the biometrically distinctive traits, and ecological preferences, of this new diatom species revealed sufficient differentiations from its morphologically most closely related species: H. atacamana, H. caribaea, H. ectorii, H. gasseae, H. halophila, H. mosensis, H. poianensis, and H. vantushpaensis. Ecologically, Halamphora shaabanii can tolerate relatively high nutrients (N and P) and prefers saline inland environments with NaCl water types. The araphid diatom Pseudostaurosiropsis geocollegarum was observed in the epilithic diatom assemblages of the River Nile Damietta Branch and identified on the basis of LM and SEM. From an ecological standpoint, P. geocollegarum seems to prefer elevated nutrient concentrations (meso-eutraphentic species), reflecting different human influences on the freshwater River Nile Damietta Branch. Based on the available literature, this is the first documentation of this freshwater diatom species for Egypt, and the second record for the African continent. Two green motile microalgae, Chlamydomonas proboscigera and Gonium pectorale, were isolated and identified from the terrestrial biomes of the arid habitat “Wadi El-Atshan” in the Eastern Desert of Egypt. C. proboscigera is reported herein for the first time in the Egyptian algal flora, while G. pectorale is poorly documented in the available literature. In light of our findings, the Egyptian habitats, particularly the isolated desert ecosystems, are interesting biodiversity hotspots and have a richer algal microflora than earlier anticipated. Furthermore, more in-depth taxonomic studies, using a combined polyphasic approach, are needed not only to foster our knowledge of the Egyptian and African algal and cyanobacterial diversity and biogeography, but also to be further used in applied environmental sciences. Full article

An important issue in container nurseries is the production of seedlings of appropriate quality. These seedlings must meet specific biometric parameters and possess traits that ensure their suitability for later use in forest cultivation. One such traitis the ease of pulling the seedling out of the container cell, characterized by the pulling resistance. This resistance depends on many factors, including theseedling parameters, substrate, and container. In this work, a prototype measuring station was used to record seedling pull-out resistance as a function of their vertical displacement. Tests were conducted on 30 seedlings of each species: pine, beech, and oak. These were grown in polystyrene containers with cell volumes of 150 cm³ for pine (Pinus sylvestris L.) and 300 cm³ for beech (Fagus sylvatica L.) and oak (Quercus robur L.). Significant differences were observed in seedling extraction resistance between species, as well as between resistances associated with containers of different cell volumes. The maximum pull-out resistance of pine seedlingswas the lowest at 12.4 ± 8.58 N, followed by 22.5 ± 1.87 N for beech, and 33.5 ± 18.08 N for oak (extraction speed of 2.5 cm·s⁻¹).Similarly, the total energy required to extract pine seedlings was 0.358 ± 0.196 J, compared to 0.502 ± 0.316 J for beech and 1.479 ± 0.774 J for oak. The pattern of pull-out resistance regardingvertical displacement was consistent across all species. A correlation was found between the maximum pull-out resistance and the total energy required to extract the seedlings, along with biometric parameters such as root collar diameter, shoot height, dry mass of seedling parts, root volume, the extent of root ball overgrowth, and the volumetric density of the substrate within the cell.These relationships should be considered when designing devices for the automatic extraction of seedlings from polystyrene containers. Full article

Biometrics play an important role in modern access control and security systems. The need of novel biometrics to complement traditional biometrics has been at the forefront of research. The Facial Blood Flow (FBF) biometric trait, recently proposed by our team, is a spatio-temporal representation of facial blood flow, constructed using motion magnification from facial areas where skin is visible. Due to its design and construction, the FBF does not need information from the eyes, nose, or mouth, and, therefore, it yields a versatile biometric of great potential. In this work, we evaluate the effectiveness of novel temporal partitioning and Fast Fourier Transform-based features that capture the temporal evolution of facial blood flow. These new features, along with a “time-distributed” Convolutional Neural Network-based deep learning architecture, are experimentally shown to increase the performance of FBF-based person identification compared to our previous efforts. This study provides further evidence of FBF’s potential for use in biometric identification. Full article