Search Results (2,206)

The growing use of mobile health (mHealth) technologies adds complexity and risk to the healthcare environment. This paper presents a multi-layered cybersecurity assessment of an in-house mHealth platform (PHGL-COVID), comprising a Docker-based server infrastructure, a Samsung Galaxy A55 smartphone, and a Galaxy Watch 7 wearable. The objective was to identify vulnerabilities across the server, mobile, and wearable components by emulating real-world attacks and conducting systematic penetration tests on each layer. Tools and methods specifically tailored to each technology were applied, revealing exploitable configurations, insecure Bluetooth Low Energy (BLE) communications, and exposure of Personal Health Records (PHRs). Key findings included incomplete container isolation, BLE metadata leakage, and persistent abuse of Android privacy permissions. This work delivers both a set of actionable recommendations for developers and system architects to strengthen the security of mHealth platforms, and a reproducible audit methodology that has been validated in a real-world deployment, effectively bridging the gap between theoretical threat models and practical cybersecurity practices in healthcare systems. Full article

Background: Access to safe and reliable water and sanitation remains a critical public health and development challenge, with rural and low-income communities being disproportionately affected by inadequate services and heightened exposure to waterborne diseases. Despite global efforts and infrastructure-based progress indicators, significant disparities persist, and these often overlook users’ perceptions of water quality, reliability, and safety. This study explores the determinants of household satisfaction with drinking water in rural areas, comparing subjective user feedback with official access data to reveal gaps in current monitoring approaches and support more equitable, user-centered water governance. Methods: This study was conducted in Kazakhstan’s Atyrau Region, where 1361 residents from 86 rural villages participated in a structured survey assessing household access to drinking water and perceptions of its quality. Data were analyzed using descriptive statistics and multinomial logistic regression to identify key predictors of user satisfaction, with results compared against official records to evaluate discrepancies between reported experiences and administrative data. Results: The field survey results revealed substantial discrepancies between official statistics and residents’ reports, with only 58.1% of respondents having in-house tap water access despite claims of universal coverage. Multinomial logistic regression analysis identified key predictors of user satisfaction, showing that uninterrupted supply and the absence of complaints about turbidity, odor, or taste significantly increased the likelihood of higher satisfaction levels with drinking water quality. Conclusions: This study underscores the critical need to align official water access statistics with household-level experiences, revealing that user satisfaction—strongly influenced by supply reliability and sensory water quality—is essential for achieving equitable and effective rural water governance. Full article

Background: Workplace mobbing is a widespread phenomenon with serious psychological and emotional consequences on employees’ emotional well-being. Psychological resilience has been identified as a potential protective factor against such adverse outcomes. Aim: This study investigates the relationship between workplace mobbing and emotional well-being, as expressed through positive and negative affect, and examines the mediating role of psychological resilience in this association. Methods: Ninety nurses participated in this cross-sectional study. Data were collected using the Connor–Davidson Resilience Scale (CD-RISC), the Workplace Psychologically Violent Behaviors (WPVB) scale, and the Positive and Negative Affect Schedule (PANAS). Statistical analyses included correlation, multiple regression, and mediation using bootstrapped confidence intervals. Results: Resilience was strongly associated with positive affect (r = 0.74, p < 0.001) and inversely with negative affect (r = −0.46, p < 0.001). Mobbing was significantly related to increased negative affect (β = 0.12, p < 0.001) but not to positive affect. Resilience emerged as the strongest predictor of emotional outcomes and partially mediated the relationship between “Attack on professional role” and negative affect. Conclusions: Psychological resilience plays a key protective role in moderating the emotional impact of workplace mobbing. Enhancing resilience in healthcare professionals may mitigate the negative emotional effects of mobbing, although it does not fully buffer against all its consequences. Full article

The problem associated with the manifestation of burnout syndrome is the subject of ongoing interest. In recent years, occupational burnout has been actively studied among professionals in the helping professions (teachers, physicians, social workers, psychologists, prison officers, etc.). However, the phenomenon has been poorly studied among freelancers. Therefore, the aim of this study is to fill this gap by determining the level of burnout syndrome among Bulgarian freelancers and investigate the influence of some work environment factors on professional burnout in the sample. A survey of 1138 freelancers was carried out using the Burnout Self-Assessment Questionnaire developed by Maslach and a questionnaire developed in-house to explore the factors of the occupational environment and ask questions related to socio-demographic factors. Hypotheses are tested using correlation analysis and structural equation modelling. The study reveals high levels of emotional exhaustion (40.91%, n = 484). High values on the scale of depersonalization were reported for 26,3% of the respondents (n = 311). Only 3.1% of the respondents (n = 37) had high values on the reduced personal accomplishment scale. The high levels of burnout among freelancers could be influenced by the specific characteristics of their work environment and the nature of their tasks. Full article

Coyaima is a town in the department of Tolima, Colombia, that was prioritized in a pilot program under Colombia’s National Plan for the Control of the Taeniasis/Cysticercosis Complex, focusing on this neglected health issue. The project engaged local indigenous communities, promoting education and outreach within the One Health framework. The study included 444 randomly selected volunteers, who filled a Knowledge, Attitudes, and Practices (KAP) survey on the taeniasis/cysticercosis complex. The baseline study found no Taenia spp. eggs via microscopy on 383 stool samples examined, and no T. solium DNA was detected on human stool and soil samples by Copro-qPCR. However, seroprevalence was 8.5% for human cysticercosis and 14% for porcine cysticercosis, as detected by in-house ELISA testing for T. solium. Moreover, 57.9% of participants who provided a stool sample were positive for at least one parasite. Following the sampling and characterization activities, local health workers implemented mass treatment with Niclosamide, based on evidence of ongoing transmission, high porcine seroprevalence, poor basic sanitation, and the presence of free-roaming pigs reported in the KAP survey. These findings provide scientific evidence to apply national public health policies for controlling taeniasis/cysticercosis complex in Coyaima. Full article

Background/Objectives: Myelofibrosis (MF) is a myeloproliferative neoplasm characterized by the replacement of healthy bone marrow (BM) with malignant and fibrotic tissue. In a healthy state, bone marrow is composed of approximately 60–70% fat cells, which are replaced as disease progresses. Proton density fat fraction (PDFF), a non-invasive and quantitative MRI metric, enables analysis of BM architecture by measuring the percentage of fat versus cells in the environment. Our objective is to investigate variance in quantitative PDFF-MRI values over time as a marker of disease progression and response to treatment. Methods: We analyzed existing data from three cohorts of mice: two groups with MF that failed to respond to therapy with approved drugs for MF (ruxolitinib, fedratinib), investigational compounds (navitoclax, balixafortide), or vehicle and monitored over time by MRI; the third group consisted of healthy controls imaged at a single time point. Using in-house MATLAB programs, we performed a voxel-wise analysis of PDFF values in lower extremity bone marrow, specifically comparing the variance of each voxel within and among mice. Results: Our findings revealed a significant difference in PDFF values between healthy and diseased BM. With progressive disease non-responsive to therapy, the expansion of hematopoietic cells in BM nearly completely replaced normal fat, as determined by a markedly reduced PDFF and notable reduction in the variance in PDFF values in bone marrow over time. Conclusions: This study validated our hypothesis that the variance in PDFF in BM decreases with disease progression, indicating pathologic expansion of hematopoietic cells. We can conclude that disease progression can be tracked by a decrease in PDFF values. Analyzing variance in PDFF may improve the assessment of disease progression in pre-clinical models and ultimately patients with MF. Full article

Objectives: Pelvic tumor resections demand high surgical precision to ensure clear margins while preserving function. Although patient-specific instruments (PSIs) improve osteotomy accuracy, positioning errors remain a limitation. This study evaluates the feasibility, accuracy, and usability of a novel dual-function augmented reality (AR) system for intraoperative guidance in PSI positioning and osteotomy execution using a head-mounted display (HMD). The system provides dual-function support by assisting both PSI placement and osteotomy execution. Methods: Ten fresh-frozen cadaveric hemipelves underwent AR-assisted internal hemipelvectomy, using customized 3D-printed PSIs and a new in-house AR software integrated into an HMD. Angular and translational deviations between planned and executed osteotomies were measured using postoperative CT analysis. Absolute angular errors were computed from plane normals; translational deviation was assessed as maximum error at the osteotomy corner point in both sagittal (pitch) and coronal (roll) planes. A Wilcoxon signed-rank test and Bland–Altman plots were used to assess intra-workflow cumulative error. Results: The mean absolute angular deviation was 5.11 ± 1.43°, with 86.66% of osteotomies within acceptable thresholds. Maximum pitch and roll deviations were 4.53 ± 1.32 mm and 2.79 ± 0.72 mm, respectively, with 93.33% and 100% of osteotomies meeting translational accuracy criteria. Wilcoxon analysis showed significantly lower angular error when comparing final executed planes to intermediate AR-displayed planes (p < 0.05), supporting improved PSI positioning accuracy with AR guidance. Surgeons rated the system highly (mean satisfaction ≥ 4.0) for usability and clinical utility. Conclusions: This cadaveric study confirms the feasibility and precision of an HMD-based AR system for PSI-guided pelvic osteotomies. The system demonstrated strong accuracy and high surgeon acceptance, highlighting its potential for clinical adoption in complex oncologic procedures. Full article

Background: Lysosomal-associated membrane protein 1 (LAMP1), typically localized to the lysosomal membrane, is increasingly implicated as a marker of cancer aggressiveness and metastasis when expressed on the cell surface. This study aimed to develop a LAMP1-targeted antibody-based PET tracer and assess its efficacy in mouse models of human breast and colon adenocarcinoma. Methods: To determine the source of LAMP1 expression, we utilized human single-cell RNA sequencing and spatial transcriptomics, complemented by in-house flow cytometry on xenografted mouse models. Tissue microarrays of multiple epithelial cancers and normal tissue were stained for LAMP-1, and staining was quantified. An anti-LAMP1 monoclonal antibody was conjugated with desferrioxamine (DFO) and labeled with zirconium-89 (⁸⁹Zr). Human triple-negative breast cancer (MDA-MB-231) and colon cancer (Caco-2) cell lines were implanted in nude mice. PET/CT imaging was conducted at 24, 72, and 168 h post-intravenous injection of ⁸⁹Zr-DFO-anti-LAMP1 and ⁸⁹Zr-DFO-IgG (negative control), followed by organ-specific biodistribution analyses at the final imaging time point. Results: Integrated single-cell and spatial RNA sequencing demonstrated that LAMP1 expression was localized to myeloid-derived suppressor cells (MDSCs) and cancer-associated fibroblasts (CAFs) in addition to the cancer cells. Tissue microarray showed significantly higher staining for LAMP-1 in tumor tissue compared to normal tissue (3986 ± 2635 vs. 1299 ± 1291, p < 0.001). Additionally, xenograft models showed a significantly higher contribution of cancer cells than the immune cells to cell surface LAMP1 expression. In vivo, PET imaging with ⁸⁹Zr-DFO-anti-LAMP1 PET/CT revealed detectable tumor uptake as early as 24 h post-injection. The ⁸⁹Zr-DFO-anti-LAMP1 tracer demonstrated significantly higher uptake than the control ⁸⁹Zr-DFO-IgG in both models across all time points (MDA-MB-231 SUV_max at 168 h: 12.9 ± 5.7 vs. 4.4 ± 2.4, p = 0.003; Caco-2 SUV_max at 168 h: 8.53 ± 3.03 vs. 3.38 ± 1.25, p < 0.01). Conclusions: Imaging of cell surface LAMP-1 in breast and colon adenocarcinoma is feasible by immuno-PET. LAMP-1 imaging can be expanded to adenocarcinomas of other origins, such as prostate and pancreas. Full article

Plant secondary metabolites regulate plant growth and serve as valuable pharmaceutical resources. Napier grass (Pennisetum purpureum Schumach.), a Poaceae species, shows potential as a functional food. In this study, we employed high-resolution mass spectrometry combined with a data-independent acquisition (DIA) strategy for the untargeted detection of anthocyanins, a group of secondary metabolites, in napier grass. Clear MS² fragmentation patterns were observed for anthocyanins, characterized by diagnostic aglycone signals and sequential losses of hexosyl (C₆H₁₀O₅), deoxyhexosyl (C₆H₁₀O₄), pentosyl (C₅H₈O₄), and p-coumaroyl groups (C₉H₈O₃). Based on matching with authentic standards and an in-house database, ten anthocyanins were identified, seven of which were newly reported in napier grass. In a single-laboratory validation analysis, both absolute and semi-quantitative results reliably reflected the specific distribution of metabolites across different cultivars and plant organs. The purple cultivar (TS5) exhibited the highest anthocyanin content, with the cyanidin 3-O-glucoside content reaching 5.0 ± 0.5 mg/g, whereas the green cultivar (TS2), despite its less pigmented appearance, contained substantial amounts of malvidin 3-O-arabinoside (0.7 ± <0.1 mg/g). Flavonoid profiling revealed that monoglycosylated anthocyanins were the dominant forms in floral tissues. These findings shed light on napier grass metabolism and support future Poaceae breeding and functional food development. Full article

Triple-negative breast cancer (TNBC) remains a major clinical challenge due to its aggressive behavior and lack of targeted therapies. Accurate early prediction of response to neoadjuvant chemotherapy (NACT) is essential for guiding personalized treatment strategies and improving patient outcomes. In this study, we present an attention-based multiple instance learning (MIL) framework designed to predict pathologic complete response (pCR) directly from pre-treatment hematoxylin and eosin (H&E)-stained biopsy slides. The model was trained on a retrospective in-house cohort of 174 TNBC patients and externally validated on an independent cohort (n = 30). It achieved a mean area under the curve (AUC) of 0.85 during five-fold cross-validation and 0.78 on external testing, demonstrating robust predictive performance and generalizability. To enhance model interpretability, attention maps were spatially co-registered with multiplex immunohistochemistry (mIHC) data stained for PD-L1, CD8+ T cells, and CD163+ macrophages. The attention regions exhibited moderate spatial overlap with immune-enriched areas, with mean Intersection over Union (IoU) scores of 0.47 for PD-L1, 0.45 for CD8+ T cells, and 0.46 for CD163+ macrophages. The presence of these biomarkers in high-attention regions supports their biological relevance to NACT response in TNBC. This not only improves model interpretability but may also inform future efforts to identify clinically actionable histological biomarkers directly from H&E-stained biopsy slides, further supporting the utility of this approach for accurate NACT response prediction and advancing precision oncology in TNBC. Full article

Out of 2495 samples, L. monocytogenes was isolated from 262 (10.5%). Among these, 30 isolates (11.5% of the 262) exhibited unique phenotypic and genetic characteristics compared to reference strains. Hemolysin-negative L. monocytogenes isolates have been increasingly reported in recent years and are challenging to identify due to their altered phenotypic traits and limitations of standard microbiological methods. This study aimed to evaluate the performance of MALDI-TOF MS in identifying and differentiating 30 hemolysin-negative and hemolysin-positive L. monocytogenes isolates and 12 reference strains, using both a commercial Bruker database and a proprietary in-house database developed from newly characterized isolates. The Bruker database correctly identified only 21% of the environmental isolates, misclassifying most as L. innocua, and showed 83.3% accuracy for reference strains. In contrast, the in-house database achieved 96.6% and 100% accuracy for the environmental and reference strains, respectively. Statistical methods, including hierarchical clustering, heatmaps, PCA, and Pearson correlation, revealed grouping based on phenotypic traits and origin, with key peptides influencing classification. Biomarkers linked to hemolysis and antibiotic resistance differentiated the environmental isolates from reference strains. These findings highlight the need for the development of customized spectral databases to improve the detection of L. monocytogenes in food safety monitoring. Full article

The demand for large-scale, heavy-duty autonomous pavement-sweeping robots is rising due to urban growth, hygiene needs, and labor shortages. Ensuring their health and safe operation in dynamic outdoor environments is vital, as terrain unevenness and slope gradients can accelerate wear, increase maintenance costs, and pose safety risks. This study introduces an AI-driven condition monitoring (CM) framework designed to detect terrain unevenness and slope gradients in real time, distinguishing between safe and unsafe conditions. As system vibration levels and energy consumption vary with terrain unevenness and slope gradients, vibration and current data are collected for five CM classes identified: safe, moderately safe terrain, moderately safe slope, unsafe terrain, and unsafe slope. A simple-structured one-dimensional convolutional neural network (1D CNN) model is developed for fast and accurate prediction of the safe to unsafe classes for real-time application. An in-house developed large-scale autonomous pavement-sweeping robot, PANTHERA 2.0, is used for data collection and real-time experiments. The training dataset is generated by extracting representative vibration and heterogeneous slope data using three types of interoceptive sensors mounted in different zones of the robot. These sensors complement each other to enable accurate class prediction. The dataset includes angular velocity data from an IMU, vibration acceleration data from three vibration sensors, and current consumption data from three current sensors attached to the key motors. A CM-map framework is developed for real-time monitoring of the robot by fusing the predicted anomalous classes onto a 3D occupancy map of the workspace. The performance of the trained CM framework is evaluated through offline and real-time field trials using statistical measurement metrics, achieving an average class prediction accuracy of 92% and 90.8%, respectively. This demonstrates that the proposed CM framework enables maintenance teams to take timely and appropriate actions, including the adoption of suitable maintenance strategies. Full article

Introduction: Antiplatelet therapy (APT) increases bleeding risk and is frequently used in patients who undergo percutaneous dilatational tracheostomy (PDT). However, there are different techniques for single-step PDTs, which can be differently invasive. The aim of the present study was to investigate complications in patients undergoing PDT while being on APT, especially with regard to bleeding and the influence of different PDT techniques. Material and Methods: Between July 2016 and June 2021, 273 intensive care unit (ICU) patients underwent in-house PDT with two different techniques (direct or indirect) and were retrospectively enrolled. Results: A total of 273 patients (mean age: 68 years, 37% female) were included in the study. A total of 51% of patients were on APT on the day of PDT procedure (SAPT: 34%, DAPT: 17%). Direct and indirect PDTs were performed in 33% and 67% of patients. Periprocedural airway or skin bleedings and postprocedural bleedings occurred in 53%, 11%, and 1%. A need for bronchoscopic re-intervention was observed in 2% of APT patients. No death was procedure related. Periprocedural airway bleedings occurred more frequent in “APT patients” (60% vs. 46%, p = 0.03). Periprocedural airway and skin bleedings were more frequent in indirect PDTs (52% and 14%) than direct PDTs (32% and 0%, p = 0.04 and p = 0.02) in “no APT patients”. In “APT patients” this difference was only seen in periprocedural airway bleeding (69% vs. 45%, p = 0.01). Moreover, periprocedural airway bleedings were more frequent in “APT patients” when performing an indirect PDT rather than a direct PDT (69% vs. 52%, p = 0.02). Conclusions: PDTs appear to be safe in patients receiving APT. Indirect PDTs appear to generally increase the risk of clinically irrelevant, minor periprocedural airway and possibly skin bleedings, especially in APT patients. Full article

Animal production generates gas emissions. It is imperative to reduce them as projections suggest that emissions will continue to increase with rising temperatures, alongside the intensification of agriculture to meet global food demand. Slurry acidification in-house can reduce these emissions. In this study, an acidification technology was installed in a pig-fattening barn to evaluate the influence of the addition of a mixture of organic acids, mainly lactic acid and glycolic acid, on NH₃ and GHG emissions. A total of 384 pigs were allocated to four experimental rooms, two with additive applied to the slurry pits by a spraying system and two as a control. In high-temperature conditions, the spraying system discharged additive over the slurry which, in contrast with other systems, was stored inside the rooms during the whole trial. The concentration of NH₃ and GHG, the temperature, and the air extraction rate were measured continuously. A significant reduction in the emissions of the gases evaluated was achieved. NH₃ emissions were reduced by 26.8%, CH₄ by 23.6%, N₂O by 25.0%, and CO₂ by 28.7%. The role of the dynamic spraying system is considered essential to prevent the acidification effect being reversed by the buffering effect of the slurry itself. Full article