Search Results (21,818)

This study centred on isolating and characterizing Bacillus amyloliquefaciens strains derived from wastewater sludge to assess their potential for sludge treatment. Samples were collected from the Etoa wastewater sludge treatment plant in Yaounde, Cameroon. The isolates were obtained on nutrient agar medium and were identified through morphological and biochemical characterization, followed by 16S rRNA gene sequencing analysis. The sequences showed 99–100% similarity with Bacillus amyloliquefaciens strains in the NCBI database. The isolates exhibited significant in vitro enzymatic activities, including catalase, amylase, and protease production, indicating their ability to degrade hydrogen peroxide starch and proteins, respectively. The results confirmed the in vitro potential of Bacillus amyloliquefaciens as a promising microbial agent for organic matter degradation in wastewater sludge. Although the findings were limited to laboratory conditions, they provided a foundation for future pilot-scale or in situ studies aimed at validating their practical efficiency. This research contributes to the development of microbial-based and eco-efficient strategies for sustainable sludge management. Full article

Ciliate infestations in aquatic organisms are commonly associated with aquaculture, yet their impact on natural ecosystems remains largely understudied. This study describes a mobilid peritrich species infesting the gills of Octopus bimaculatus from the Gulf of California, Mexico. All 76 examined hosts (100%) exhibited infestation, with a mean intensity of 687 ± 228 (279–1077) urceolariid cells per gill. The ciliate cells displayed morphological traits consistent with those of the genus Urceolaria: turban-shaped cells measuring 44.2 ± 13.2 (31.3–88.6) µm in diameter; an adhesive disc of 36.5 ± 10.7 (29.2–74.6) μm in diameter; 18–19 plates measuring 11.0 ± 0.86 (9–12) µm in length; and 166–169 radial pins. Phylogenetic analysis of 18S rDNA sequences placed this species within the genus Urceolaria, a sister group to Urceolaria urechi and Urceolaria serpularum, with a genetic distance of 1.0% with respect to the previously described species. Combined morphological and molecular data support the description of a new species, Urceolaria carmenae n. sp. This is the first record of a mobilid peritrich in cephalopod mollusks, thereby enhancing our understanding of the diversity of ciliates among marine invertebrates in their natural habitats. Full article

Understanding the mechanisms that assemble diverse forest communities is a central goal in ecology. Phylogenetic analyses based on DNA barcodes have advanced this field, but their use of sequences evolving at constant rates may not capture adaptations to specific environmental drivers. Light is a critical factor shaping forest structure, particularly in the vertical dimension. This study introduces a novel phylogenetic approach using the blue-light receptor gene, cryptochrome (Cry), which is directly involved in plant light perception and adaptation. We reconstructed a Cry-based phylogeny for 96 tree species in a 20 ha subtropical forest dynamics plot and analyzed community structure using the net relatedness index (NRI) and nearest taxon index (NTI) across horizontal habitats, successional stages, and vertical canopy layers. Compared to traditional DNA barcoding, the Cry phylogeny revealed distinct patterns, showing consistent phylogenetic structure across different habitats—a finding indicative of convergent evolution in light-sensing systems. Furthermore, the Cry-based analysis demonstrated a stronger and more consistent signal in the forest’s vertical structure, with significant phylogenetic clustering in upper canopy layers, directly linking light adaptation to community stratification. Over time, both NRI and NTI values increased, suggesting succession leads to greater phylogenetic overdispersion and highlighting an increased role for environmental filtering among closely related taxa. Our results validate Cry as a powerful functional gene marker for phylogenetics, providing unique insights into how light environment filters species and shapes the vertical assembly of forest communities. Full article

Background/Objectives: Streptococcus suis is a zoonotic pathogen that causes infections in pigs and humans, leading to significant economic losses. S. suis can evade the immune system of hosts and induce persistent infections. Early detection and vaccination are crucial for controlling the disease in swine industries. This study aimed to investigate candidate recombinant protein for antibodies against S. suis detection and subunit vaccine development. Methods: The whole genome of S. suis BM407 was analyzed using bioinformatic tools to predict suitable proteins and genes for recombinant protein expression. Partial extracellular factor protein (epf) genes of S. suis serotype 2 DMST18783 were amplified. A 3301 bp amplicon was digested, and a specific 615 bp fragment was inserted into a pQE81L-KAN vector. Then, the constructed plasmid was cloned and expressed in Escherichia coli DH10β. Purified protein was analyzed using SDS-PAGE. In addition, translated amino acid sequences were analyzed for immune response properties, molecular docking, molecular dynamic simulation, and epitope prediction. Results: The amino acid sequence of recombinant extracellular factor protein (rEF) was revealed as a promising antigen containing putative protective regions as linear epitopes. Furthermore, the rEF was expressed as a histidine-tagged recombinant protein, and its properties were nearly similar to the predicted rEF using bioinformatic tools. Binding of the recombinant EF (rEF) protein was found to reduce fluctuations in the swine toll-like receptor 2. Furthermore, the rEF contained several regions that were predicted to be epitopes for both B-cells and T-cells. Conclusions: This study indicates that the recombinant EF fragment is a promising candidate for detecting antibodies against S. suis and as a component of a subunit vaccine. Full article

Physical therapy is a critical component of medical rehabilitation, aiding recovery from conditions such as stroke, spinal cord injuries, and musculoskeletal disorders. Effective rehabilitation requires precise monitoring of patient performance to ensure exercises are executed correctly and progress is accurately assessed. This paper presents a novel automated system for controlling the rehabilitation process and evaluating physical therapy exercise quality using computer vision and a customized Human Skeleton-based Balanced Time Warping algorithm. The proposed method quantitatively assesses the similarity between a physiotherapist and patient performance by analyzing skeletal motion data extracted from RGB-D video sequences without requiring pre-alignment or sensor-specific calibration. A motion-dependent, weighted Euclidean distance between 3D skeletal models is used to compute pose dissimilarity, while a modified DTW approach aligns temporal sequences and evaluates dynamic consistency. The total dissimilarity measure is a balanced combination of posture (DP) and dynamics (DT) components. Evaluated on a custom dataset of 136 video recordings from 23 participants performing exercises in sitting and standing positions under varying performance accuracy levels (“good,” “intermediate,” and “bad”), the system demonstrates the strong clustering of accuracy levels. Proposed dissimilarity, together with a fixed reference element (physiotherapist), induces a natural non-strict order on the set of distances between patients and physiotherapists. A high value of Spearman’s rank correlation coefficient between computed dissimilarity and execution accuracy (0.977) indicates that this method is suitable for assessing exercise performance accuracy and for adequately evaluating the patient’s rehabilitation progress. The method enables objective, real-time feedback, reduces therapist workload, and supports remote monitoring, offering a scalable solution for personalized rehabilitation. Future work will involve clinical validation with post-stroke and cardiac patients. Full article

Porcine epidemic diarrhea (PED), a severe and highly contagious disease induced by porcine epidemic diarrhea virus (PEDV), impacts pigs across all age groups but has a particularly high lethality in neonatal piglets, with mortality rates reaching 80 to 100%, leading to substantial economic losses in the swine industry. In this investigation, 128 intestinal samples obtained from 65 large-scale pig farms in eight prefectures of Guangdong Province were screened by RT-qPCR between 2022 and 2024. Of these, 50 samples (39.06%) tested positive for Porcine Epidemic Diarrhea Virus (PEDV). The complete S1 genes of 31 representative strains were sequenced. Phylogenetic analysis revealed G2c as the exclusive dominant lineage (29/31, 93.6%), with single representatives of G2a and G2d. Nucleotide identity among the local strains ranged from 88.9 to 100% and 88.1 to 93.5% to prototype CV777 and from 91.2 to 99.1% to vaccine strain AJ1102. The COE neutralizing epitope (aa 499–638) carried 26 substitutions versus AJ1102; T499I/S, A520S/L, F539L, K566N and F615L were most prevalent. The SS2 epitope was fully conserved, whereas SS6 showed three low-frequency changes (S766P, S769F, G770V). Six distinct N-glycosylation patterns were identified relative to AJ1102. The predominance of G2c, accompanied by marked epitope drift and altered glycosylation, indicates the need for further investigation into vaccine efficacy. Continuous surveillance and the careful evaluation of G2c-based vaccine candidates are warranted. Full article

Osorno volcano (41.1° S, 72 W) is located in the Andean Southern Volcanic Zone. The volcano lies within a national park as part of the protected areas system. This setting provides an opportunity to compare soil microbial communities between sectors with (H) and without (NI) anthropogenic activities within a volcanic territory. To do so, we selected one of the most visited volcanoes in Chilean Patagonia to examine composition, diversity (taxonomic and phylogenetic), and co-presence and mutual exclusion interaction networks between members of volcanic soil bacterial communities. Soil DNA was extracted, and the 16S rRNA gene was analyzed by high-throughput DNA sequencing, followed by taxonomic identification. The most prevalent phylum across all sites (H and NI) was Pseudomonadota, followed by Acidobacteriota, Actinobacteriota, and Chloroflexota. Based on taxonomic and phylogenetic indices, we found that the diversity of bacteria was significantly less in the humanized area than in the non-intervened areas. Beta diversity analysis also revealed a clear separation between humanized and non-intervened soils. Additionally, a decrease in network connectivity was observed at NI sites. Our results provide clear evidence that anthropogenic factors, such as tourism, vehicle parking, and combustion processes, are key drivers shaping bacterial community structure in volcanic soils, with potential consequences for ecosystem health and the capacity to provide ecosystem services. Full article

Herbaria, originally books of medicinal plants, became collections of dried plants after 1500, later extending to seaweeds and supporting taxonomy and systematics. Digitalization has made herbaria accessible, and advances in DNA sequencing have transformed them into valuable resources for genetic research. Label data, which include place and date of collection, make exsiccata essential tools for biogeographic studies and conservation strategies, helping map biodiversity and protect endangered species. The historical Pierpaoli herbarium (MBMP) houses 584 seaweed specimens collected from the Ionian and Adriatic seas between 1920 and 1965. It has been digitized within the NPRR Project ITINERIS and the DiSSCo infrastructure. Floristic changes in the Mar Piccolo over three periods (1920–2024) and the Mar Grande (1920–1992) were compared using herbarium specimens, papers, and recent data. Mar Piccolo’s flora over a century revealed significant changes. Many historical species disappeared, while new ones appeared, including 14 non-indigenous species. The biogeographical composition also shifted, with Cosmopolitan and Indo-Pacific elements increasing. In the Mar Grande, less than half the species were found again in 1992. Evidently, phytobenthic communities underwent noticeable changes over a century, highlighting the impact of environmental shifts. This confirms that Natural Science Collections are invaluable resources for understanding our planet’s biodiversity and history. Full article

In coal mine non-solidly grounded systems, high-impedance faults generate minimal zero-sequence currents with obscured characteristics and strong interference, complicating faulted line identification. Existing methods rarely address three-phase imbalance and variable cable parameters, causing selection errors. To this end, a method for identifying the non-effective ground fault routing of mining cables based on Steady-State Impedance Analysis (SSIA) and Holmes–Duffing oscillator small-signal detection is proposed. Firstly, based on SSIA, the mapping relationship that the phase of the zero-sequence current variation in the faulted line is the same as the phase of its voltage relative to the faulted ground is derived before and after the occurrence of the fault. Meanwhile, identifiable differences exist in both phase and amplitude of the zero-sequence current change in faulty lines compared to non-faulty lines before and after fault occurrence. This is used as the criterion for high-impedance ground fault line selection. In the mining environment, zero-sequence current variations are characterized as weak signals, which poses significant challenges for detection. Thus, a Holmes–Duffing oscillator weak signal detection method is proposed. Based on chaotic principles, accurate line selection is achieved by diagnosing chaotic states in oscillator-generated phase trajectories. A specific mine grid simulation via MATLAB/Simulink 2023b validates the method’s efficacy and applicability. Full article

Answering multi-hop questions requires first retrieving a sequence of supporting facts, and the order in which these facts are retrieved significantly affects retriever performance. To achieve a clearer reasoning order, it is beneficial to address the easier facts first then move to the more difficult ones. However, current orders are usually pre-defined during data construction or specified manually, which restricts the model’s reasoning potential. This paper proposes Auto-Optimizing Reasoning Order (AORO), a method to automatically optimize the reasoning order for each sample, where difficulty is determined by a retrieval model trained with carefully curated data. First, a retriever is trained using data that encompasses all combinations of the possible reasoning orders. The trained retriever is then used to assess the difficulty of each fact, placing the fact with the least difficulty at the beginning of the sequence. Next, the retrieval model is retrained based on these optimized sequences, which are empirically better suited to its capabilities. This process creates an iterative self-debiasing paradigm, and these steps are repeated until all facts are reordered. Experiments conducted on two multi-hop QA benchmarks, QASC and MultiRC, demonstrate the effectiveness of AORO, which outperforms strong baselines using the same PTM, and further enables advanced PTMs to achieve improvements of up to 1.6 points in Recall@10 and 3.7 points in F1 score. Additional case analyses reveal empirical patterns in the optimal reasoning order: the pattern appears independent of the dataset and the underlying pre-trained model; and the sequence proceeds by confirming the truth of the question, answering the question, and filling in any gaps, which aligns with human reasoning. Full article

Background: Crisponi/cold-induced sweating syndrome (CS/CISS) is a rare autosomal recessive disorder characterized by severe neonatal manifestations including paroxysmal muscle contractions, tendency for hyperthermia, and feeding and swallowing difficulties with high neonatal mortality. Pathogenic variants in the Cytokine Receptor-Like Factor 1 (CRLF1) gene have been associated with CS/CISS. These variants result in a loss of function of the encoded protein, which disrupts the formation of a functional heterodimer with Cardiotrophin-Like Cytokine Factor 1 (CLCF1). This complex is essential for the development of autonomic and sensory nervous systems, as well as for bone remodeling. We report two patients affected by CS harboring pathogenic variants in the CRLF1 gene. Methods—case reports: The first patient was diagnosed postnatally, presenting with non-epileptic paroxysmal events characterized by opisthotonus and orofacial contractions. He survived beyond infancy, later developing scoliosis and persistent episodes of hyperthermia. In the second patient, a prenatal ultrasound at 20 weeks of gestation revealed bilateral camptodactyly, also referred to as the ‘horn’s sign’, raising early suspicion of CS. The diagnosis was subsequently confirmed both clinically and genetically. After birth, the infant developed severe dysphagia, apnea, and paroxysmal events not associated with epileptiform activity on EEG. Sanger sequencing identified a homozygous c.708_709delinsT frameshift variant in the CRLF1 gene. The patient died at 30 days of age due to respiratory failure. Results and conclusions: With this manuscript, we aim to further delineate the phenotypic spectrum of this rare condition and propose the ‘horn’s sign’ as a targeted prenatal marker for early diagnosis in populations with known founder mutations or familial risk factors. Full article

Przewalski’s gazelle (Procapra przewalskii) is an endangered ungulate endemic to the Qinghai–Tibet Plateau, with a small population size and exposure to multiple ecological pressures. Its gut microbiota may play a crucial role in host environmental adaptation. To investigate the functional divergence of gut microbial communities, we performed high-throughput metagenomic sequencing on 105 wild fecal samples collected from 10 geographic regions around Qinghai Lake. The results revealed significant regional differentiation in key functional modules related to metabolism, antibiotic resistance mechanisms, and virulence-associated pathways. All populations showed enrichment in core metabolic pathways such as carbohydrate and amino acid metabolism, with carbohydrate-active enzymes dominated by glycoside hydrolases (GHs) and glycosyltransferases (GTs), exhibiting overall functional conservation. Although populations shared many antibiotic- and virulence-related reference genetic markers, the marker composition associated with distinct resistance mechanisms and pathogenic processes exhibited clear population-specific patterns, suggesting differential microbial responses to local environmental pressures. Correlation network analysis further identified core taxa (e.g., Arthrobacter and Oscillospiraceae/Bacteroidales lineages) as key genera linking community structure with core metabolic, resistance-related, and virulence-associated marker functions. Overall, the gut microbiota of Przewalski’s gazelle exhibits a complex spatially structured functional differentiation, reflecting host–microbiome co-adaptation under region-specific ecological pressures. These findings provide critical methodological and theoretical support for microecological health assessment and regionally informed conservation management of this endangered species. Full article

Rice sheath rot has progressively developed into a growing threat to global rice production, particularly in intensively managed systems conducive to disease development. Therefore, accurate identification of the causal pathogen and the development of sustainable management strategies represent urgent scientific requirements. In this study, we isolated the causal organism of rice sheath rot from infected rice tissues and identified it as Fusarium verticillioides based on multi-locus sequence analysis. Eight endophytic bacterial strains were recovered from healthy rice root systems. Among the isolates, Bacillus velezensis isolate 7-A exhibited the strongest antifungal activity against F. verticillioides. This isolate demonstrated broad-spectrum antifungal activity, with inhibition rates ranging from 54.8% to 71.8%. Phylogenetic analysis based on 16S rRNA and gyrB gene sequences identified it as B. velezensis. Further characterization revealed that B. velezensis 7-A is capable of secreting proteases and synthesizing siderophores. The filtered liquid from sterile fermentation markedly inhibited the growth of mycelium in F. verticillioides and induced marked morphological abnormalities. Liquid LC-MS analysis identified multiple antifungal active substances, including camphor, ginkgolides B, salicin, cinnamic acid, hydroxygenkwanin, stearamide, β-carotene, and others. A pot experiment demonstrated that the fermentation broth of B. velezensis 7-A effectively suppressed the occurrence of rice sheath rot, achieving a relative control efficacy of 61.3%, which is comparable to that of a 10% carbendazim water-dispersible granule (WDG). Additionally, isolate 7-A enhances plant disease resistance by activating the activities of key defense enzymes. These findings provide preliminary insights into its potential application in integrated and sustainable disease management programs. Full article

Egypt has the highest global prevalence of hepatitis C virus (HCV), with genotype 4 (G4) in over 94% of cases. Direct-acting antivirals (DAAs) yield sustained virologic response (SVR) rates above 95%. Second-generation DAAs are recommended for patients with virological failure, achieving over 90% eradication. This study aimed to classify and evaluate the pattern of HCV resistance-associated substitutions (RASs) in patients who failed DAA treatment in Egypt. A total of 1778 chronically infected HCV patients from Egypt’s Nile Delta were enrolled (2016–2018). Among them, 37 relapsed, and high-quality serum samples from 22 patients were available, including 6 cases with pre- and post-treatment samples. Next-generation sequencing (NGS) was performed for HCV subtyping and RAS identification. Among the 22 analyzed cases, 21 (95.4%) were G4: 11 were classified as subtype G4a, seven G4o, and three G4m. One patient (4.5%) was identified as G1g. One case shifted from G4a pre- to G4o post-treatment, suggesting reinfection. The RAS pattern in rare G4 subtypes (G4m/G4o) differs from the G4a subtype. The combination of L28M/L30S mutations was detected in 8/11 G4a samples; in contrast, RASs in G4o were characterized by T30S or Y93C/H/N/S substitutions. Notably, some substitutions identified as RASs may represent fixed polymorphisms in regional viral populations, such as those in Egypt’s Nile Delta. HCV subtypes significantly influence the RAS pattern, particularly within the NS5A region, after DAA-treatment failure. The RAS pattern differs among G4 subtypes, particularly in rare ones, predisposing patients to resistance and underscoring the importance of NGS in regional populations to optimize treatment strategies. Full article

The decarbonization of shipping and shipbuilding is a critical challenge under the Inter-national Maritime Organization’s (IMO) 2030 greenhouse gas (GHG) reduction target and 2050 net-zero strategy, requiring effective coordination between policy and technology. This study investigates how Japan, China, and Korea respond to these regulatory pressures by systematically analyzing their policy–technology linkages. A four-stage design was applied, combining qualitative case studies, policy–technology mapping, theoretical interpretation, and comparative analysis, to trace how national strategies shape eco-friendly transitions. Japan employs an innovation-led, institution-convergent model in which technological demonstrations drive institutional adaptation and diffusion, China follows a policy-designated, execution-oriented model where state-led interventions accelerate commercialization, and Korea adopts a coordination-based, cyclical model balancing public demonstrations, financial support, and international standardization to reduce transition costs. These findings demonstrate that sequencing between policy–technology linkage is context-dependent, shaped by technological maturity, economic feasibility and infrastructure, institutional predictability, and socio-environmental acceptance. The study contributes a cyclic co-evolutionary perspective that moves beyond technological or institutional determinism, reconceptualizes regulation as enabling infra-structure, and identifies implications for global standard-setting and industrial competitiveness. The insights inform practical strategies for major shipbuilding nations to reduce costs while sustaining competitiveness under the IMO’s decarbonization framework. Full article