Biomimetic underwater acoustic communication is attractive for covert military operations because it disguises communication signals as marine-mammal whistles, but in modification-type whistle-mimicking schemes, concealment and communication reliability are tightly coupled and often trade off against each other. The proposed method addresses this problem by establishing a whale-whistle waveform-learning framework that extracts baseband pulses from real false killer whale whistles, learns Nyquist-constrained representative symbol waveforms through an autoencoder, and combines them with envelope-driven adaptive symbol durations to preserve whale-like waveform statistics while equalizing symbol energy. The proposed method is evaluated in terms of mimicry using Evaluation of Covertness of Sound Mimicking Marine Mammals (ECSM3) and higher-order cumulants, and in terms of communication performance using Bit Error Rate (BER) under Additive White Gaussian Noise, a simulated underwater channel, and 1.5 km sea trials against BOK, continuous varying carrier frequency modulation (CV-CFM), Hybrid Orthogonal Division Frequency Modulation (HODFM), and Variable Duartion Phase Shift Keying (V-DPSK) at matched data rates. The proposed method achieves the highest mean ECSM3 score with the smallest variation and the lowest BER among the same-rate schemes; in the 1.5 km sea trial at 250 bps, it attains a BER of 0.0245, which corresponds to about 72.8%, 79.4%, and 87.4% lower BER than V-DPSK, HODFM, and CV-CFM, respectively, demonstrating that learned whale-like pulses can simultaneously improve covertness and reliable underwater acoustic communication.
This study aimed to investigate the stability of measures of fundamental frequency of voice by comparing samples of habitual and disguised speech. This observational, analytical, cross-sectional study analyzed a voice bank of 40 people of both sexes (20 men and 20 women), aged 19 to 58 years. They read a passage in both habitual and disguised speech. The types of disguises were analyzed by three expert voice judges. The study used the PRAAT® acoustic analysis software to extract the mean f0, median f0, minimum f0, maximum f0, and base f0 (fb) from the complete reading in both situations, using pre-determined procedures. The data were tabulated and statistically analyzed. The fb, maximum f0, and minimum f0 values were similar in habitual and disguised speech among speakers of both sexes, whereas the mean f0 and median f0 differed between the two situations. In general, the measures of fb, minimum f0, and maximum f0 were more stable in disguised speech, which may suggest future usefulness in intraindividual comparisons. The speakers' various types of adjustments to disguise their voices did not significantly alter the measures of fb, maximum f0, and minimum f0 in the comparison between habitual and disguised speech. Este estudo teve o objetivo de investigar a estabilidade das medidas de frequência fundamental da voz, comparando amostras de fala habitual e de fala em situação de disfarce. Trata-se de estudo observacional, analítico e transversal. Foi analisado um banco de vozes de 40 pessoas de ambos os sexos (20 homens e 20 mulheres) e faixa etária entre 19 e 58 anos, correspondentes à leitura de trecho em fala habitual e leitura do mesmo trecho em fala em situação de disfarce. Os tipos de disfarces foram analisados por três juízas especialistas em voz. Além disso, foi utilizado software de análise acústica PRAAT® para a extração das medidas acústicas de f0 média, f0 mediana, f0 mínima, f0 máxima e f0 de base (fb) da leitura na íntegra, em ambas as situações, por meio de procedimentos pré-determinados. Os dados foram tabulados e analisados estatisticamente. Os valores das medidas de fb, f0 máxima e f0 mínima foram semelhantes nas situações de fala habitual e disfarce, para locutores de ambos os sexos. Já os valores das medidas de f0 média e f0 mediana tiveram diferença nas duas situações. De modo geral, as medidas de fb, f0 mínima e f0 máxima mostraram maior estabilidade frente à situação de disfarce, o que pode sugerir utilidade futura em comparações intraindividuais. Os variados tipos de ajustes feitos pelos locutores para a realização dos disfarces não alteraram de modo significativo as medidas de fb, f0 máxima e f0 mínima quando as situações de fala habitual e disfarçada foram comparadas. Este estudo teve o objetivo de investigar a estabilidade das medidas de frequência fundamental da voz, comparando amostras de fala habitual e de fala em situação de disfarce. Trata-se de estudo observacional, analítico e transversal. Foi analisado um banco de vozes de 40 pessoas de ambos os sexos (20 homens e 20 mulheres) e faixa etária entre 19 e 58 anos, correspondentes à leitura de trecho em fala habitual e leitura do mesmo trecho em fala em situação de disfarce. Os tipos de disfarces foram analisados por três juízas especialistas em voz. Além disso, foi utilizado software de análise acústica PRAAT® para a extração das medidas acústicas de f0 média, f0 mediana, f0 mínima, f0 máxima e f0 de base (fb) da leitura na íntegra, em ambas as situações, por meio de procedimentos pré-determinados. Os dados foram tabulados e analisados estatisticamente. Os valores das medidas de fb, f0 máxima e f0 mínima foram semelhantes nas situações de fala habitual e disfarce, para locutores de ambos os sexos. Já os valores das medidas de f0 média e f0 mediana tiveram diferença nas duas situações. De modo geral, as medidas de fb, f0 mínima e f0 máxima mostraram maior estabilidade frente à situação de disfarce, o que pode sugerir utilidade futura em comparações intraindividuais. Os variados tipos de ajustes feitos pelos locutores para a realização dos disfarces não alteraram de modo significativo as medidas de fb, f0 máxima e f0 mínima quando as situações de fala habitual e disfarçada foram comparadas.
Mucinous ovarian carcinoma (MOC) is a rare subtype of epithelial ovarian cancer (3-5%), typically affecting women between 20 and 40 years old. It often presents diagnostic and management challenges. We present an exceptional case of a postmenopausal woman with abdominal pain disguised as a pelvic abscess. A 73-year-old postmenopausal woman presented with abdominal pain for 6 months and postmenopausal spotting for 1 month. Initial imaging (CT scan) suggested a pelvic abscess, which was managed conservatively. However, persistent symptoms and a complex adnexal mass prompted further evaluation. MRI revealed a multiloculated right adnexal mass, and tumour markers (CA-125, CEA, HE4) were elevated. Surgical staging included total abdominal hysterectomy, bilateral salpingo-oophorectomy, and omentectomy. Histopathology confirmed stage IC2 mucinous adenocarcinoma. Postoperative recovery was uneventful, and the patient received six cycles of carboplatin and paclitaxel as adjuvant chemotherapy. This case emphasizes the diagnostic challenge of MOC in postmenopausal women. Misinterpretation as benign pelvic pathology can delay appropriate treatment. Precise imaging, tumour markers, and a multidisciplinary approach are critical for early diagnosis and improved outcomes.
Tetracyclines are used for a variety of dermatologic conditions, and a known side effect of this therapy is hyperpigmentation in multiple tissues throughout the body. We present the case of a 66-year-old man who underwent aortic valve replacement and was found to have discoloration of the aortic valve leaflets associated with his chronic use of minocycline for rosacea. Minocycline-induced pigmentation of cardiac valves is a documented, although uncommon, phenomenon. There is no evidence linking valve pigmentation to functional valve defects. This case highlights an infrequent manifestation of minocycline-induced pigmentation.
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Owing to the emergence of drug resistance and the lack of effective vaccines, malaria continues to seriously harm the physical and mental health of a multitude of individuals, warranting the need to explore new antimalarial strategies. In this study, we developed allicin-based biomimetic nanoparticles of the erythrocyte membrane (PECm-Allicin@LM) through a sonication method for the delivery of lumefantrine (LM), a hydrophobic antimalarial drug. PECm-Allicin@LM showed regular spherical morphology with a mean diameter of 120 nm and retained most of the major proteins on the erythrocyte membrane. PECm-Allicin@LM was stable and sustained the release of LM. Flow cytometry analysis showed that PECm-Allicin@LM could deliver LM to Plasmodium-infected erythrocytes to kill the parasite. The nanoparticles, disguised as erythrocytes, could trap merozoites and competitively inhibit them from repeatedly infecting normal erythrocytes. Allicin in the nanoparticles not only dissolved LM but also disrupted the mitochondrial function of malaria parasites, working together to combat malaria and improve the immune dysfunction caused by malaria. Giemsa staining was performed to determine the infection rate in PbANKA-infected mice. In Plasmodium berghei ANKA strain-infected ICR mice, PECm-Allicin@LM significantly reduced infection rates, prolonged survival time, and attenuated Plasmodium-induced weight loss, anemia, and organ injury. Overall, these nanoparticles combine the advantages offered by the erythrocyte membrane, allicin, and LM to effectively combat malaria, representing a new antimalarial strategy targeting multiple pathways.
Polyamines integrate metabolism with innate immunity; however, their antibacterial roles remain unresolved. Here, we show that spermine suppresses innate immune responses against Salmonella enterica serovar Typhimurium infection in macrophages. Exogenous spermine blunted pro-inflammatory responses and increased intracellular bacterial burden in vitro and in vivo. Pharmacologic depletion or back-conversion of endogenous polyamines enhanced pro-inflammatory responses, revealing an intrinsic brake. Mechanistically, spermine promoted B-to-Z conformational switching of bacterial genomic DNA, which attenuated cGAS-STING activation; chloroquine or cerium chloride modulations validated DNA topology control. Genetic and pharmacologic dissection indicated that either TLR4 or cGAS-STING is sufficient for spermine's suppression, whereas their combined blockade abolished it. These findings highlight coordinated immune evasion at the metabolism-DNA interface, offering therapeutic targets for infection control. In our research, we set out to understand how a small, naturally occurring molecule called spermine shapes the first line of defense against Salmonella, a common cause of foodborne illness. We discovered that when Salmonella infects our immune cells, it cleverly causes the levels of spermine to drop. When we experimentally added spermine back, we found that it hampered the immune response, allowing the bacteria to thrive. Delving deeper, we uncovered a two-pronged strategy used by spermine. It not only dampens a primary alarm pathway that detects bacteria on the cell surface but also employs a more subtle tactic inside the cell. Spermine changes the physical shape of the bacterial DNA, twisting it into a form that our internal surveillance systems, like the cGAS-STING pathway, cannot easily recognize. This disguise allows the bacteria to go undetected. Our findings reveal a fascinating mechanism of immune evasion and suggest that controlling spermine levels could be a promising therapeutic strategy for either boosting our defenses against Salmonella infections or calming inflammatory diseases.
In studying the roles of reactive oxygen species (ROS) in various biological processes, the availability of appropriate cell culture models is critical. Addition of H2O2 to cells is commonly used to simulate oxidative stress. In doing so, generation of highly reactive oxygen species (hROS) in cell culture is used as an indication of successful model creation. The validity of such a model is predicated on the assumption that hROS formation is the result of cellular biochemical processes and not from the medium. However, we observed a significant level of hROS in various culture media alone upon H2O2 addition, raising questions about the validity of such models and suggesting a "Trojan Horse" role for such media in compromising the data. Given the wide-spread use of the said method, we urge caution in analysing information gained from such models in redox mechanistic studies.
We propose a data center secure communication scheme that uses chaotic diversity index modulation for identity authentication, and design a neural network (NN) that balances decryption and detection for the receiver. Chaotic diversity is obtained from a randomly partitioned standard 16QAM constellation. The watermark is subsequently embedded into the symbol index by leveraging this diversity. Finally, the constructed data frames composed of symbols across different time slots and subcarriers is disrupted, and the watermark is concealed within the massive data transmission. The receiver takes the received signal and chaotic diversity as inputs for the NN to obtain the watermark, and achieves identity authentication by comparing it with the locally stored watermark. The 56.37Gb/s transmission verification was conducted on a 10 km standard single-mode fiber (SSMF), and the results showed that the scheme has high security. The total key space can reach 1090. The watermark is hidden in the index of the symbol, making it difficult for eavesdroppers to detect. The combination of chaotic diversity and NN can cause data pollution to eavesdroppers, making it difficult to steal the correct NN. The accuracy of NN detection exceeds that of the log-likelihood ratio (LLR) detector, and it can reduce the time complexity of detection by 4 orders of magnitude. The recognition accuracy of watermarks can reach 100% under high optical power, and the legitimate and illegitimate parties can be effectively distinguished, making identity disguise attacks difficult to achieve.
Workplace bullying is a pervasive, knotty affront common across nursing settings. For nurse leaders, as for others, responding to bullying is challenging, influenced by workplaces' established cultural expectations, communication intricacies, and power dynamics. Finding a way to unknot bullying's complex presentation would support nurse leaders' objective assessment of bullying's disruptive impact. To establish a theoretical foundation for development of an evidence-based/evidence-informed model to guide nurse leaders' objective evaluation of bullying's workplace impact. Realist review. The emergent model suggests that workplace bullies' stories may disguise bullies' subtle violation of established workplace norms. The generated model offers a simple picture of workplace bullying's veiled damages; it warrants ongoing testing to further assess its utility for supporting nurse leaders' assessment of bullies' workplace impact.
Botnet detection remains a perennial and critical challenge in cybersecurity. As long as the internet exists, threat actors will devise new ways to create and disguise these malicious networks, making the development of robust detection methods a task that will never be obsolete. Traditional approaches, relying on rigid signatures and manual feature engineering, are often locked in a reactive cycle. A more critical limitation is their poor generalization; models trained on known botnets frequently fail to detect novel, unseen threats, rendering them vulnerable in real-world scenarios. This paper introduces a robust framework that significantly enhances botnet detection by overcoming these limitations. We propose a novel methodology that combines advanced feature engineering, such as octet splitting for IP addresses, with a sophisticated representation learning technique using the Hilbert space-filling curve to transform network flows into 2D images. This approach preserves data locality and eliminates the noise introduced by traditional zero-padding. Furthermore, we address the critical issue of class imbalance using a combination of SMOTE, a weighted sampler, and Focal Loss to focus the model on more challenging samples. To rigorously evaluate the model's real-world applicability, we employed a challenging cross-scenario validation strategy, training the model on the Murlo botnet (Scenario 8) and testing it on the completely unseen Rbot botnet (Scenario 10) from the publicly available CTU-13 dataset. Our proposed model achieved an outstanding accuracy of 98.34% and a weighted F1-score of 98.38%, demonstrating a remarkable ability to generalize to novel botnet attacks. This result validates our approach and highlights the superiority of learned, spatially-aware representations over traditional models, which failed to detect the unseen botnet. Our work presents a significant step towards creating more adaptive and resilient intrusion detection systems capable of handling novel, unseen botnet families.
Psychiatric diagnosis and fractal studies are complex processes that extend beyond clinical evaluation and require careful methodological considerations in neuroimaging. Over the years, fractals have helped reduce these complexities in research, but they still cannot grant clinical diagnoses. Thus, the main objective was a systematic review exploring the potential applications of fractal analysis in characterizing psychiatric conditions through neuroimaging techniques-including both functional and structural MRI. A systematic literature review was conducted on PubMed, identifying thirty-nine original studies that met the inclusion criteria. Areas showing statistical significance (p < 0.05) were reported. These studies were categorized according to DSM-V classification and examined for the description of psychiatric conditions through the fractal analysis. The review primarily focuses on young adults with psychiatric conditions compared to control groups. Schizophrenia and Autism Spectrum Disorder are major areas of investigation, and fractal dimension (FD) is the primary analysis method used to reflect brain patterns. Studies that calculated whole-brain FD may have underestimated local abnormalities due to the inclusion of a high percentage of tissue, potentially resulting in overlooked findings. Notably, abnormalities in the frontal cortex represent a common neurobiological feature across several psychiatric conditions. The findings from this systematic review shed light on the use of fractal analysis to quantify complex brain patterns in both psychiatric patients and healthy individuals. However, it is essential to recognize the need for further research to elucidate a fractal analysis protocol that allows for optimal extraction of psychiatric insights. Question Fractal analysis applied to structural and functional MRI help characterize brain alterations across psychiatric conditions. Findings This review shows consistent fractal patterns across multiple psychiatric disorders, especially in frontal regions. Despite heterogeneous methodologies, results highlight shared structural and functional abnormalities. Clinical relevance Fractal analysis may offer complementary characterization of subtle brain organization across psychiatric disorders. Its potential clinical utility-such as improving diagnostic characterization, earlier detection, among others-remains limited by the current absence of a standardized protocol.
Impacted anterior teeth are common, with sequalae including root resorption of adjacent or nearby teeth. Management depends on patient- and tooth-specific factors; however, in cases of severe resorption, elective tooth loss may be favoured. This case discusses an aesthetic solution to disimpaction of an anterior tooth, involving multidisciplinary input. A girl aged 13 years 10 months presented to an orthodontic department, complaining of missing teeth and poor dental aesthetics. Class II division 1 incisor relationship on a Class I skeletal base, complicated by unerupted maxillary canines (UR3, UL3), retained URC and potential for severe crowding in the upper arch. Radiographic assessment confirmed impacted maxillary canines and an unerupted supernumerary tooth lying palatal to UR1. The impacted UR3 had caused significant root resorption to the UR1. After a multidisciplinary discussion, the impacted UR3 was exposed and aligned into the UR1 position, with elective loss of the resorbed UR1. A novel pontic design, incorporating a traction spring, was used, enabling maintenance of a pontic in-situ while simultaneously allowing for orthodontic traction of the UR3. Restorative input after debond disguised the UR3 as the UR1. UR3 was successfully disimpacted and aligned into the UR1 position with the use of a novel pontic design. This case delivers a novel solution to a complex aesthetic dilemma in the anterior dentition that can be modified, and adapted, to suit other anterior impactions. A new aesthetic technique to pull down an impacted toothWhy was the treatment done? Many patients have impacted teeth (teeth buried under gums/bone that cannot come through themselves) and need braces combined with surgery to move them into the right position. In this case, the patient’s canine tooth was in the incorrect buried position and needed to be pulled down, in place of a incisor tooth that was damaged due to the canine. Because it was a front tooth, a new aesthetic technique was tried to pull the tooth while not leaving the patient with a gap. What did the clinicians do? They came up with a technique with support from the dental laboratory, that involved a false tooth attached to the brace, which had two roles: it gave the patient a false tooth so they did not have an obvious gap, and it simultaneously helped pull down the impacted canine tooth so that it could move into the mouth. This was complicated and involved multiple teams in different specialties for the overall planning and result. What did the clinicians achieve? The technique worked well, and allowed the canine to be pulled down into position whilst not having a gap. This was successful by working with surgical teams initially, and restorative teams afterwards, so that a good result was achieved, and this technique can be used and adapted in future cases. What did the patient think? The patient was pleased with the suggestion and that her aesthetic concerns were listened to, as it meant that she did not have an obvious gap at the front of her teeth, with good overall results.
In Italy, forensic medicine education is traditionally theory-based, which limits students' access to practical experiences due to confidentiality constraints and the complexity of real cases. This paper describes a forensic simulation conducted at the Clinical Simulation Center of the Campus Bio-Medico University of Rome, designed to offer students a structured opportunity to apply their theoretical knowledge through a staged homicide disguised as a suicide. The activity included a preliminary briefing, an interactive simulation involving actors from the university theater laboratory and sixth-year medical students in specific roles, and a structured debriefing for critical analysis of the investigative process. The simulation allowed students to develop and refine their skills in crime scene investigation, forensic evidence collection, and testimony analysis. Students' feedback suggest that simulation-based learning can support the development of critical thinking, decision-making, and teamwork, representing a useful complement to traditional forensic medicine education. Future developments could include the integration of virtual reality and artificial intelligence to further enhance the realism and accessibility of these learning experiences.
There may be a newly identified early phase of supermassive black hole growth.
Actinomycosis is a rare, chronic, suppurative bacterial infection caused by Actinomyces spp with an incidence of 0.3 cases per million people annually. The cervicofacial area is the most common site of infection and accounts for approximately 50 percent of all cases. Most cases of cervicofacial actinomycosis are odontogenic in origin. Hemoptysis in the setting of actinomycosis commonly occurs from pulmonary involvement. Hemoptysis secondary to isolated cervicofacial actinomycosis has seldom been documented in literature. We hereby present a case of cervicofacial actinomycosis presenting with hemoptysis likely secondary to an oro-cervical fistula. We aim to highlight the challenges in diagnosis of this relatively rare clinical entity and the potential for life threatening complications if not detected and managed appropriately.
Diagnostic challenges in children impact antibiotic decisions in low- and middle-income countries, contributing to the burden of antimicrobial resistance. This study assessed antibiotic use practices for childhood acute respiratory infections (ARI) in outpatient settings then compared findings between public and private facilities. A cross-sectional observational study was conducted in two paediatric hospitals of Nepal (one public, one private) between January and July 2022. The standard checklist for ARI case management, adapted from the World Health Organization quality assessment and improvement tool, was applied to observe randomly selected doctor-patient consultations in disguised form with prior consent and ethics approval. Descriptive statistics were used to determine differences between the two facilities. Of 104 outpatient consultations assessed in two sites (52 cases each), the majority (76%) of ARI diagnoses complied with the national protocol for ARI management, and this practice was better in the private than the public facility (85% vs 67%, p=0.039). Antibiotics were prescribed in 64% of children (67/104), with no difference between facilities (p=0.838). Of these, just 9% of cases (6/67) were prescribed the first-line antibiotic (amoxicillin). The provider's decision to prescribe an antibiotic or not was inappropriate in 54% children (56/104), while among those who were prescribed an antibiotic, 81% (54/67) were prescribed the incorrect antibiotic. This study reports high rates of inappropriate antibiotic decisions and prescriptions for paediatric ARI in both public and private facilities, suggesting larger studies are needed to gauge the scope and need of antibiotic stewardship programmes targeted to the providers.