Search Results (334)

Microscopy is a fundamental tool in biological research. However, conventional microscopes require manual operation and depend on user and equipment availability, limiting their suitability for continuous observation. Moreover, their size and complexity make them impractical for in situ experimentation. In this work, we present a novel, compact, affordable, and portable microscope that enables continuous in situ monitoring by being placed directly on biological samples. This chip-sized lensless holographic microscope (CLHM) is specifically designed to overcome the limitations of traditional microscopy. The device consists solely of an ultra-compact, state-of-the-art micro-LED display and a CMOS sensor, all enclosed within a 3D-printed housing. This unique light source enables a size that is markedly smaller than any comparable technology, allowing a resolution of 2.19 μm within a 7 mm distance between the light source and the camera. This paper demonstrates the CLHM’s versatility by monitoring in vitro models and performing whole-organism morphological analyses of small specimens. These experiments underscore its potential as an on-platform sensing device for continuous, in situ biological monitoring across diverse models. Full article

Background/Objectives: Infections caused by multidrug-resistant (MDR) Pseudomonas aeruginosa are steadily increasing, thus the discovery and development of new and effective agents are needed. Antimicrobial peptides (AMPs) are a heterogeneous group of innate defense system peptides with broad antimicrobial activity. In this study, 17 AMPs were tested, identifying CAP-18, a cathelicidin-based compound, as the most active. CAP-18 was optimized by synthesizing structural derivatives, which were selected for further studies based on their activity against a collection of MDR and colistin-resistant P. aeruginosa strains. Methods: AMPs collection was initially tested against different P. aeruginosa strains, identifying CAP-18 as the most active. CAP-18 derivatives were synthetized and assessed by the Minimum Inhibitory Concentration (MIC), time-kill kinetics, cytotoxicity against human cell lines, hemolytic activity, and therapeutic index (IC₅₀/MIC₉₀). The mechanism of action was assessed by Transmission Electron Microscopy (TEM), and in vivo efficacy was determined through a murine skin infection model. Results: CAP-18 and D-CAP-18 had a MIC₉₀ of 4 and 2 μg/mL, respectively, whereas CAP-18₃₁ and D-CAP-18₃₁ presented MIC₉₀ values of 16 mg/L. The shorter derivatives of CAP-18 showed a lower activity. Time-kill curves revealed a fast bactericidal effect. These derivatives showed low toxicity against different human cell lines and low hemolysis, resulting in a wide therapeutic index (IC₅₀/MIC₉₀), with D-CAP-18 having the best therapeutic index (137.4). TEM provided insight into the mechanism of action, revealing bacterial membrane damage. In vivo studies of both CAP-18 and D-CAP-18 showed good activity with a 3 log decrease compared to the infected control group. Conclusions: Among the investigated four peptides, D-CAP-18 is the most promising candidate to treat skin infections caused by MDR P. aeruginosa since it shows potent activity both in vitro and in vivo, and a high therapeutic index. Full article

This paper presents a power-aware Reconfigurable Parameterizable Pseudorandom Pattern Generator (RP-PRPG) for a number of applications, including built in self-testing (BIST) and cryptography. Linear Feedback Shift Registers (LFSRs) are broadly utilized in pattern generation due to their efficiency and simplicity. However, the diversity of generated patterns, as well as their power consumption, improves through circuit modifications. This work explores enhancements to LFSR structures to achieve broader range of patterns with reduced power consumption for BIST-based applications. The proposed circuit constructed on the LFSR platform can be programmed to generate patterns with varying degrees of different LFSR configurations. Diverse set of patterns of any circuit arrangement can be created using any characteristic polynomial and by utilizing the reseeding capacity of the circuit. The circuit combines a double-tier linear feedback circuit with zero forcing methods, resulting in more than 70% transition reduction, thus significantly lowering power dissipation. The behaviour of the proposed circuit is assessed for characteristic polynomials with degrees ranging from 4 to 128 using various Linear Feedback Shift Register (LFSR) topologies. For reconfigurable HDL and ASIC synthesis, the power-aware RP-PRPG can be used to generate an efficient set of stream ciphers as well as applications involving the scan-for-test protocol. Full article

Rooster behavior and activity are critical for egg fertility and hatchability in broiler and layer breeder houses. Desirable roosters are expected to have good leg health, reach sexual maturity, be productive, and show less aggression toward females during mating. However, not all roosters are desirable, and low-productive roosters should be removed and replaced. The objectives of this study were to apply an object detection model based on deep learning to identify hens and roosters based on phenotypic characteristics, such as comb size and body size, in a cage-free (CF) environment, and to compare the performance metrics among the applied models. Six roosters were mixed with 200 Lohmann LSL Lite hens during the pre-peak phase in a CF research facility and were marked with different identifications. Deep learning methods, such as You Only Look Once (YOLO) models, were innovated and trained (based on a comb size of up to 2500 images) for the identification of male and female chickens based on comb size and body features. The performance matrices of the YOLOv5u and YOLOv11 models, including precision, recall, mean average precision (mAP), and F1 score, were statistically compared for hen and rooster detection using a one-way ANOVA test at a significance level of p < 0.05. For rooster detection based on comb size, YOLOv5lu, and YOLOv11x variants performed the best among the five variants of each model, with YOLOv5lu achieving a precision of 87.7%, recall of 56.3%, and mAP@0.50 of 60.1%, while YOLOv11x achieved a precision of 86.7%, recall of 65.3%, and mAP@0.50 of 61%. For rooster detection based on body size, YOLOv5xu, and YOLOv11m outperformed other variants, with YOLOv5xu achieving a precision of 88.9%, recall of 77.7%, and mAP@0.50 of 82.3%, while YOLOv11m achieved a precision of 89.0%, recall of 78.8%, and mAP@0.50 of 82.6%. This study provides a reference for automatic rooster monitoring based on comb and body size and offers further opportunities for tracking the activities of roosters in a poultry breeder farm for performance evaluation and genetic selection in the future. Full article

Background: The UK Department for Digital, Culture, Media, and Sport (DCMS) grassroots concussion guidance, May 2023, advised that all community-based sport-related concussions (SRCs) be diagnosed by a healthcare practitioner. This may require that general practitioners (GPs) diagnose and manage SRCs. Diagnosing SRCs in primary care settings in the United Kingdom (UK) presents significant challenges, primarily due to the lack of validated tools specifically designed for general practitioners (GPs). This scoping review aims to identify diagnostic and management tools for SRCs in grassroots sports and primary care settings. Aims: To identify tools that can be used by GPs to diagnose and manage concussions in primary care, both adult and paediatric populations. Design and Methods: A scoping review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScRs). Five databases (MEDLINE, EMBASE, CINAHL, Cochrane Library, Google Scholar) were searched from 1946 to April 2025. Search terms included “concussion”, “primary care”, and “diagnosis”. Studies that discussed SRCs in community or primary care settings were included. Those that exclusively discussed secondary care and elite sports were excluded, as well as non-English studies. Two reviewers independently screened titles, abstracts, and full texts, with a third resolving any disagreements. Data were extracted into Microsoft Excel. Studies were assessed for quality using the Joanna Briggs critical appraisal tools and AGREE II checklist. Results: Of 727 studies, 12 met the inclusion criteria. Identified tools included Sport Concussion Assessment Tool 6 (SCAT6, 10–15 min, adolescent/adults), Sport Concussion Office Assessment Tool 6 (SCOAT6, 45–60 min, multidisciplinary), the Buffalo Concussion Physical Examination (BCPE, 5–6 min, adolescent-focused), and the Brain Injury Screening Tool (BIST, 6 min, ages 8+). As part of BCPE, a separate Telehealth version was developed for remote consultations. SCAT6 and SCOAT6 are designed for healthcare professionals, including GPs, but require additional training and time beyond typical UK consultation lengths (9.2 min). BIST and BCPE show promise but require UK validation. Conclusions: SCAT6, SCOAT6, BIST, and BCPE could enhance SRC care, but their feasibility in UK primary care requires adaptation (e.g., integration with GP IT systems and alignment with NICE guidelines). Further research is required to validate these tools and assess additional training needs. Full article

In recent years, artificial intelligence (AI) has significantly impacted agricultural operations, particularly with the development of deep learning models for animal monitoring and farming automation. This study focuses on evaluating the Depth Anything Model (DAM), a cutting-edge monocular depth estimation model, for its potential in poultry farming. DAM leverages a vast dataset of over 62 million images to predict depth using only RGB images, eliminating the need for costly depth sensors. In this study, we assess DAM’s ability to monitor poultry behavior, specifically detecting drinking patterns. We also evaluate its effectiveness in managing operations, such as tracking floor eggs. Additionally, we evaluate DAM’s accuracy in detecting disparity within cage-free facilities. The accuracy of the model in estimating physical depth was assessed using root mean square error (RMSE) between predicted and actual perch frame depths, yielding an RMSE of 0.11 m, demonstrating high precision. DAM demonstrated 92.3% accuracy in detecting drinking behavior and achieved an 11% reduction in motion time during egg collection by optimizing the robot’s route using cluster-based planning. These findings highlight DAM’s potential as a valuable tool in poultry science, reducing costs while improving the precision of behavioral analysis and farm management tasks. Full article

Magnetic shape memory alloys have attracted considerable attention due to their multifunctional properties. Among these materials, Ni-Mn-Ga alloys are distinguished by their ability to achieve up to 10% strain when exposed to a magnetic field, a characteristic predominantly observed in single-crystal samples. Consequently, it is essential to develop nanomaterials with a crystal structure closely resembling that of a single crystal. In this study, an epitaxial Ni-Mn-Ga thin film was fabricated using Pulsed Laser Deposition on an Al₂O₃ $\left(11\overline{2}0\right)$ single-crystal substrate. The crystal structure was characterised through X-ray diffraction methodologies, such as symmetrical $2\theta -\omega$ scans, pole figures, and reciprocal space maps. The results indicated that the sample was mainly in a slightly distorted cubic austenite phase, and some incipient martensite phase also appeared. A detailed microstructural analysis, performed by transmission electron microscopy, confirmed that certain regions of the sample exhibited an incipient transformation to the martensite phase. Regions closer to the substrate retained the austenite phase, suggesting that the constraint imposed by the substrate inhibits the phase transition. These results indicate that it is possible to grow high crystalline quality thin films of Ni-Mn-Ga by Pulsed Laser Deposition. Full article

Our understanding of the molecular mechanisms undergirding artemisinin (ART) resistance in Plasmodium falciparum is currently based on two organizing principles: reduced hemoglobin trafficking into the digestive food vacuole, resulting in lower levels of activated ART, and increased tolerance to ART-induced oxidative stress in the infected erythrocyte. We had previously proposed an extracellular vesicle (EV) export model of ART resistance in P. falciparum. This model predicts that EV abundance will be altered by ART exposure and that the peptide cargo of EVs from the ART-exposed condition will be enriched with aggregation-prone peptides. We tested the predictions of the EV export hypothesis in this study using in vitro culture assays of an ART-resistant transgenic line engineered on a 3D7 background (R561H) and a 3D7 knock-out line (PfVps60KO) with deficient EV production phenotype. EV enrichment was obtained from in vitro parasite culture supernatants via a series of ultracentrifugation and filtration steps, followed by size exclusion chromatography. A quality check on EVs was performed using dynamic light scattering. Liquid chromatography with tandem mass spectrometry was used to determine the proteome cargo from extracted EVs, and parasite peptides were queried for aggregation-prone tendency using open-access software. We report that dihydroartemisinin (DHA) exposure was positively correlated with EV abundance (coefficient estimate = 1038.58, confidence interval of 194.86–1882.30, and p-value = 0.018) and suggests that EV biogenesis is part of the parasite’s response to DHA/ART. Furthermore, our findings suggest the expression of a non-constitutive DHA-induced alternate EV biogenesis pathway as the PfVps60KO was observed to produce the highest number of EVs under DHA exposure. Finally, we show that EVs from both ART-susceptible and resistant parasites under DHA exposure carry a cargo of Chorein N-terminal domain-containing protein (PF3D7_1021700) with a high aggregation-prone index (prion-like domain [PrLD] score = 26.5) out of nine identified parasite peptides. The former of these findings is in concordance with the EV export hypothesis, which posits that the removal of DHA/ART-induced aggregated and/or misfolded peptides is critical to the parasite’s survival under DHA/ART exposure. This observation further implicates EVs in the development of the ART-resistant phenotype. However, the finding of one aggregation-prone peptide out of the nine parasite proteins in the EV cargo does not sufficiently support the EV export hypothesis. Future replicates of this study and further interrogations of the EV export hypothesis are needed. Full article

The escalating threat of antibiotic resistance demands innovative strategies against multidrug-resistant (MDR) microorganisms, particularly in hospital settings where such infections represent a major global health challenge. Since the rapid growth of nanotechnology interdisciplinary research and funding programs in the 2000s, silver ions have re-emerged as potent antimicrobial agents, offering a promising complement to conventional therapies. This therapeutic potential is nowadays explored through the use of silver nanoparticles (AgNPs) as sources for silver ions release. Recent studies have shown that controlled silver ion release enhances the efficacy of common antibiotics. This can be attributed to the energetically demanding nature of the bacterial response to silver, which weakens bacterial metabolism and, in turn, overwhelms bacterial defenses and increases antibiotic effectiveness. Herein, historical insights into the use of colloidal silver and AgNPs are combined with a review of recent research on the exploitation of the synergistic effect between AgNPs and antibiotics as a promising strategy against MDR pathogens. Full article

This study aims to investigate the impact of environmental accounting disclosures on the financial performance of banks listed on Borsa Istanbul (BIST). In this study, sustainability and integrated reports for 2019–2023 are analyzed, and environmental accounting disclosures are classified into two categories as operational and financial activities. Using the Environmental Accounting Reporting Score, the relationship with financial performance indicators such as return on assets, return on equity, earnings per share, and profit margin is analyzed using the seemingly unrelated regression (SUR) method. The results show that environmental accounting disclosures do not have a direct and statistically significant effect on financial performance. However, control variables such as bank size, debt-to-asset ratio, and loan-to-asset ratio are found to have a positive effect on financial performance. In particular, larger banks tend to have higher profitability and earnings per share, while higher non-interest expenses have a negative impact on profitability. The study shows that the direct contribution of environmental accounting practices to financial performance is limited, but that banks’ operational and financial structures are greater determinants of performance. These findings highlight the need for improvements in areas such as standardization of sustainability reporting, stakeholder awareness, and environmental risk management for policy makers and banks. Full article

We investigated the cellular and neurophysiological mechanisms underlying the pro-cognitive effects of 5-HT4R activation in hippocampal–prefrontal pathways. Our findings show that, in addition to pyramidal neurons, 30–60% of parvalbumin+ interneurons in the CA1, CA3, and dentate gyrus (DG) of the hippocampus and the anterior cingulate (ACC), prelimbic (PL), and infralimbic (IL) regions of the prefrontal cortex co-express 5-HT4Rs. Additionally, 15% of somatostatin+ interneurons in CA1 and CA3 express 5-HT4Rs. Partial 5-HT4R agonist RS-67333 (1 mg/kg, i.p.) exerted anxiolytic effects and ameliorated short-term (3-min) and long-term (24-h) memory deficits in a mouse model of schizophrenia-like cognitive impairment induced by sub-chronic phencyclidine (sPCP) but did not enhance memory in healthy mice. At the neurophysiological level, RS-67333 normalized sPCP-induced disruptions in hippocampal–prefrontal neural dynamics while having no effect in healthy animals. Specifically, sPCP increased delta oscillations in CA1 and PL, leading to aberrant delta–high-frequency coupling in CA1 and delta–high-gamma coupling in PL. RS-67333 administration attenuated this abnormal delta synchronization without altering phase coherence or signal directionality within the circuit. Collectively, these results highlight the therapeutic potential of 5-HT4R activation in pyramidal, parvalbumin+, and somatostatin+ neurons of hippocampal–prefrontal pathways for mitigation of cognitive and negative symptoms associated with schizophrenia. Full article

This study aims to reveal the network connectedness between the volatilities of Emerging and Growth-Leading Economies (EAGLEs) stock exchanges with the frequency-based TVP-VAR connectedness approach. Connectedness results were obtained in short (1–5 days) and long (5-inf) period frequencies among the volatilities obtained with the Garman–Klass volatility estimator. According to the dynamic TCI results, connectivity peaked during the COVID-19 and Russia–Ukraine War periods. BVSP is the most dominant transmitter of the network and spreads the most effect to the emerging markets. As a result of the pairwise metrics, SSE has the lowest values and is positioned as a relatively independent market in the network. In particular, SSE has almost no connection with BIST in the short term, while it has a more significant effect on BIST in the long term. Moreover, the connectedness metrics show that MOEX is in a neutral position in the network and is largely affected by its internal dynamics. Full article

This study examines the psychological and psychodynamic factors influencing vaccine hesitancy, focusing on body image and emotional processing. A cross-sectional observational design was used. Participants from five European countries completed the Body Image and Schema Test (BIST). ANOVA analyses compared cognitive, affective, and behavioral traits between pro- and anti-vaccine individuals. Findings indicate that anti-vaccine individuals exhibit higher levels of autonomy, distrust of authority, and emotional intensity, particularly in the form of heightened fear and anger. Their resistance to vaccination is linked to concerns about bodily integrity and a strong sense of self-protection, reflecting deep-seated psychological dispositions. This study highlights the role of defense mechanisms, personality traits, and social influences in shaping vaccine attitudes. By understanding these psychodynamic underpinnings, public health strategies can be better tailored to address vaccine resistance through targeted communication and interventions. The findings provide valuable insights for policymakers and healthcare professionals in designing more effective public health campaigns. The repository Open Science Framework link contains data, a complete presentation of the BIST theoretical framework, and a full description of the meaning of BIST Factors and Items. Full article

The increased particle flux expected at the HL-LHC poses a serious challenge for the ATLAS detector performance, especially in the forward region. The High-Granularity Timing Detector (HGTD), featuring novel Low-Gain Avalanche Detector silicon technology, will provide pile-up mitigation and luminosity measurement capabilities, and augment the new all-silicon Inner Tracker in the pseudo-rapidity range from 2.4 to 4.0. Two double-sided layers will provide a timing resolution better than 50 ps/track for MIPs throughout the HL-LHC running period, and provide a new timing-based handle to assign particles to the correct vertex. The LGAD technology provides suitable gain to reach the required signal-to-noise ratio, and a granularity of 1.3 × 1.3 mm² (with 3.6 M channels in total). This paper presents the current status of the HGTD project with emphasis on the sensor development and module results. Full article

As a consequence of the European Union introducing the prohibition of supplying antibiotic growth promoters (AGPs) in diets in 2006, antibiotic alternatives for poultry feed have become one of the most central issues. In general, probiotics and prebiotics are highly effective additives that improve host health and prevent pathogen colonization by modulating immune functions, altering the intestinal microecology, and enhancing digestion. However, the specific situations in which probiotics or prebiotics should be used still require further research. In addition, the advanced applications of probiotics and prebiotics, such as in ovo injection, also need to be investigated to improve the host performance. In the following review, we summarize various probiotic and prebiotic supplementation methods and compare the specific conditions for their use to improve poultry production management. Full article