Abstract Background Total skin electron therapy (TSET) is a standard treatment for cutaneous T‐cell lymphoma. Due to the complex patient positioning and irregular body contours, robust in‐vivo dosimetry (IVD) is essential to verify dose uniformity. While thermoluminescent dosimeters (TLDs) are traditional standard, their utility is hindered by labor‐intensive, manual processing. Purposes This study evaluates the clinical implementation of a Gafchromic™ EBT4 film‐based IVD system integrated with a bespoke, open‐source analysis platform for automated batch‐processing. To address the inherent orientation dependence and loss of film orientation frequently encountered when preparing small‐format IVD films with a manual paper cutter, we developed an orthogonal dual‐scan protocol. By averaging pixel values from two perpendicular scans for both calibration and clinical measurement, this protocol effectively mitigates orientation‐dependent uncertainties and ensures dosimetric robustness. Methods The film‐based IVD system was clinically assessed in five TSET treatments and compared to six treatments utilizing TLD‐based IVD. Dosimetric accuracy was evaluated by comparing normalized fractional doses to the prescription. Statistical analysis was performed using the Mann‐Whitney U test with the Benjamini‐Hochberg procedure to control the false discovery rate across 20 anatomical sites. Workflow efficiency was quantified by the total time required for data readout and analysis per patient. Results The EBT4 film‐based IVD demonstrated dosimetric accuracy comparable to the TLDs, with mean fractional doses of 102.7% ± 9.6% and 100.4% ± 9.7%, respectively (p = 0.25). Clinical implementation of the film‐based approach significantly enhanced efficiency, reducing the total processing time from approximately 50 min to 15 min per treatment. Conclusions The proposed EBT4 film‐based IVD system, supported by open‐source software and an orthogonal dual‐scan protocol, offers a robust, cost‐effective, and time‐efficient alternative to traditional TLDs. This approach streamlines the clinical workflow without compromising dosimetric accuracy, making it a viable solution for TSET and broader radiotherapy IVD applications.
Zhexuan Zhang, Lan Lu, G. Videtic et al.· Journal of Applied Clinical...· 0 citations
AIMS
Safe prescribing and effective medication review during acute hospitalization depends on accurate information about liver and kidney function because these organs are responsible for the elimination of most medications. While estimates for kidney function are widely used, comparable markers of hepatic drug-metabolizing capacity are not routinely available. We evaluated the clinical relevance of pharmacogenomic (PGx) information for key pharmacogenes implicated in medication elimination in older adults presenting to the emergency department.
METHODS
Fourteen pharmacogenes were analysed using the Personal Medicine Profile™ test. GeneYouIn PillCheck™ software performed genotype-to-phenotype translations, identified drug-gene interactions (DGIs) and generated a clinical decision report based on each patient's actual medication use.
RESULTS
Among 125 acutely admitted older medical patients (median age 78.3 years; 10 medications; 7 chronic diseases), PGx testing identified 88 DGIs across 63 patients (50.4%). Of these, 46.5% were considered by clinical experts to be clinically relevant for the individual patient, affecting 33 patients (26.4%) in the total study population. Frequently implicated pharmacogenes included CYP2C19 (25.0%), SLCO1B1 (25.0%), CYP2D6 (20.5%), CYP2C9 (14.8%) and OPRM1 (6.8%), and frequently implicated medications included losartan (13.6%), pantoprazole (12.5%), simvastatin (12.5%), atorvastatin (11.4%) and metoprolol (11.4%).
CONCLUSION
With more than one-quarter of acutely admitted older medical patients having one or more clinically relevant DGIs, these findings suggest that PGx information may have meaningful clinical utility for improving prescribing practices in acute care. However, interpretation in this population requires careful consideration of other factors such as nutritional status and inflammation that may modify pharmacogene activity.
L. W. Christensen, A. K. Boas, Emilie Clausen et al.· British Journal of Clinical...· 0 citations
To address the problems of low bale-forming rate and loose compaction during the mechanized recovery of
residual plastic film in farmland, a three-stage residual film baling device was developed. Based on the discrete
element method (DEM), a flexible thin-shell model of the residual film was established, and dynamic simulation
and parameter optimization of the baling process were carried out using Rocky DEM software. Combined with
single-factor experiments and response surface methodology, the effects of baling chamber inclination angle,
belt type, belt linear speed, and upper belt inclination angle on bale integrity and compaction were analyzed.
The results showed that the bale-forming rate of the three-stage device reached 99.13%, and the bale density
reached 83.75 kg/m³ under the optimal conditions: baling chamber inclination angle of 30°, upper belt
inclination angle of 30°, belt linear speed of 2.3 m/s, and the use of a rough-surface belt. Field validation tests
showed that the average density of the residual film bales was 91.4 kg/m³, with a prediction error of only 2.23
kg/m³ compared with the simulation results. The device operated stably and reliably. This study presents a
high-efficiency residual film baling device with improved bale-forming rate and compaction performance
through structural optimization and parameter tuning, providing technical support for efficient recovery and
pollution control of residual plastic film in farmland.
Wang Guan, Hao-Lin Wang, Zhi-Hong Tian et al.· INMATEH Agricultural Enginee...· 0 citations
To investigate the effects of moisture content on the compressive mechanical properties of sweet potato roots, this study used three sweet potato varieties (Zishu, Hongyao, and Xiguahong) cultivated in the Tianjin region as experimental materials. Experiments were conducted between October 8, 2025, and January 8, 2026, in a laboratory environment maintained at 20°C ± 2°C and 50% ± 5% relative humidity. The test employed a moisture content measurement method based on storage duration, measuring moisture content every 10 days. Simultaneously, compressive mechanical property tests were performed using an INSTRON 3344 series universal material testing machine under conditions of a 10 mm/min loading speed and a maximum pressure of 1500 N. The maximum rupture force, maximum deformation, and elastic modulus of sweet potatoes at different moisture contents were determined. Data analysis was conducted using Design-Expert 13 software. The results indicated that the variation patterns of moisture content were similar across the different sweet potato varieties. The moisture content decreased rapidly during the initial storage period, showed a brief increase in the middle stage, and then continued to decline at a slower rate in the later stage. Moisture content significantly affected the compressive mechanical properties of sweet potatoes. As the moisture content decreased, the elastic modulus and maximum rupture force increased, while the maximum deformation decreased.
In addressing the high labor costs and low operational efficiency of greenhouse tomato harvesting and separate packaging workflows, this study develops an integrated tomato harvesting robotic system embedded with RGB-D machine vision, 5-degree-of-freedom manipulator and vertical heat-sealing net bag packaging mechanism. The YOLOv8s lightweight detection model trained on self-built multi-light greenhouse tomato dataset (1260 annotated images covering unobstructed, semi-occluded and heavily occluded fruits) is adopted to identify ripe tomatoes with a recognition accuracy of 95.2%, and ImageJ software is introduced to conduct secondary maturity screening via RGB chromatographic analysis. A* global path planning combined with TEB local trajectory optimization realizes autonomous obstacle avoidance navigation of the wheeled mobile platform, while RRT-Connect bidirectional random tree algorithm is applied for obstacle-free grasping trajectory planning inside dense tomato canopies. A total of 120 valid cyclic tests are carried out in simulated greenhouse environment to verify the full-chain automation including fruit detection, in-situ picking and instant bagging. Experimental results show that the average single-fruit processing cycle is 12.1 s, with a picking success rate of 90.8% and bagging success rate of 98.3%. Compared with skilled manual picking and packaging, the overall working efficiency is improved by approximately 30%. This system firstly realizes continuous integrated harvesting and commercial packaging operation for greenhouse tomatoes, providing a feasible technical solution for full-process intelligent protected agriculture.
Yan-Hua Ying, Dong-Ya Li, Jia-Hui Hu et al.· INMATEH Agricultural Enginee...· 0 citations
The CBCT imaging of the maxillary and sphenoidal sinuses provides valuable morphometric data that can aid in forensic identification, and demonstrate measurable differences across age and gender, supporting their utility as supplementary tools in forensic profiling.
Amruta J. Potekar, Rashmi Venkatesh, Chandramani B. More et al.· Journal of Clinical and Diag...· 0 citations
Lower gestational age and lower birth weight were significantly associated with persistence of PDA, indicating prematurity as a major determinant, highlighting PDA as a prevalent condition contributing significantly to early complications and death.
Avinash Shukla, Amar M Taksande· Journal of Clinical and Diag...· 0 citations
Tree-based models exhibited the largest reductions in accuracy and the steepest increases in calibration error under scarcity, whereas logistic regression preserved threshold balance and probability calibration at negligible computational cost.
Jairo Devon A. Daquioag, Eliza Ayo· Engineering and Technology J...· 0 citations
Results showed that long-context LLMs tended to achieve higher accuracy than smaller models, suggesting that LLMs are currently better suited to support human-in-the-loop root cause analysis than to fully automate it, and motivating further work to improve prediction accuracy for log-based RCA.
Rahmanu Hermawan, Alessio Bucaioni, Eduard Paul Enoiu et al.· Innovations in Systems and S...· 0 citations
ABSTRACT Background and Aims Hypertension is a long‐term condition marked by consistently high arterial blood pressure. Hypertensive patients often experience altered serum albumin and uric acid, attributed to factors like inflammation, kidney damage, and the activation of the renin angiotensin aldosterone system. However, localized evidence regarding these biomarkers remains scarce within the Ethiopian context. This study aimed to assess the level of serum albumin and uric acid among hypertensive patients. Methods A comparative cross‐sectional study was conducted from March 1 to May 30, 2025, involving 232 study participants selected using systematic random sampling. Of these, 116 were patients with hypertensive and 116 were normotensives. Sociodemographic, behavioral, and clinical data were measured by structured questionnaires. Serum albumin and uric acid levels were measured by spectrophotometric principle. Data were analyzed using SPSS version 25 software. Descriptive statistics, independent t‐tests, and binary logistic regression were performed with significance set at p < 0.05. Results The mean age of the study participants was 46 ± 11.4 and 45 ± 11.6 for the case and control groups. There was a statistically significant difference in mean serum albumin and uric acid levels between the case and control groups. The prevalence of hypoalbuminemia and hyperuricemia among hypertensive patients were 25.9% (95% CI: 18.2%, 34.8%) and 23.3% (95% CI: 15.9%, 32%), respectively. Multivariable logistic regression showed hypertensive patients with albuminuria had 3.3 and 16.1 odds of developing hypoalbuminemia and hyperuricemia. Conclusion This study demonstrates that the prevalence of hypoalbuminemia and hyperuricemia was higher in hypertensive patients than the controls. Albuminuria was a significant predictor of hypoalbuminemia and hyperuricemia. This underscores the potential metabolic alterations that may be associated with hypertension. Thus, it is important to monitor these parameters in hypertensive individuals.
Arega Zenaw, B. Biadgo, Getnet Fetene et al.· Health Science Reports· 0 citations
BACKGROUND
Underreporting is a defining problem in the registration of workplace violence across public services. This is reinforced by inconsistent, often poor incident descriptions and the absence of a clear, shared nomenclature. Without an ontology-backed structure, similar events are recorded differently across settings or remain uncodable and effectively invisible. Moreover, WPV is typically registered and studied within sector- and even organization-specific categories and local reporting logics rather than through a shared semantic framework, limiting comparability and cumulative understanding across sectors. To address this, we propose creating and publicizing a workplace violence ontology (WPV-ONTO) to unify the representation of WPV events across public services.
OBJECTIVE
The objective of this protocol is to describe and justify a research methodology for developing a cross-sector ontology and reference nomenclature for WPV in public services (WPV-ONTO), including the scoping review, expert-consensus, and evaluation procedures used to build it. Promoting openness and high standards during its creation and encouraging its uptake once available are broader project goals that this protocol is designed to support, rather than measurable objectives that this protocol itself tests.
METHODS
Using the Protégé ontology editor and the METHONTOLOGY ontology development life-cycle guidelines, we will create an ontology that captures the cross-sector WPV domain in Web Ontology Language (OWL). In order to find common WPV concepts, definitions, and synonyms, the modeling process will employ a methodologically defined, iterative workflow that combines (1) focused scoping searches (Web of Science/PubMed/APA PsycInfo/ERIC/Sociological Abstracts); (2) structured extraction from industry-standard incident reporting tools and code lists; and (3) expert consensus. Based on iterative rounds of scientific literature reviews and industry-standard code lists, a team of domain experts will use a hybrid top-down and bottom-up approach to define and identify key ideas and relationships. A small pilot with 6-8 frontline workers from two sectors will test the prototype reporting form against usability criteria before version 1.0 release.
RESULTS
The primary output will be a comprehensive, versioned WPV-ONTO accommodating key WPV concepts relevant to public services, augmented with synonyms, definitions, and references. WPV-ONTO will include an explicit hierarchical structure and relations supporting inheritance and compositional incident encoding. WPV-ONTO seeks to integrate the needs and conceptualizations of frontline workers, safety and aftercare professionals, sector policymakers, WPV researchers, and health/information systems experts. Recruitment of the expert panel is planned to begin in March 2027, and WPV-ONTO version 1.0 is expected at the end of the 24-month development period.
CONCLUSIONS
WPV-ONTO is expected to enable reasoning, inference, and consistent representation of relationships among WPV concepts for application in multiple contexts, including cross-sector reporting harmonization, software and API development, research data integration, and evaluation of prevention and aftercare initiatives. By providing a shared vocabulary and explicit structure, WPV-ONTO may also facilitate linkage with other relevant information systems, such as electronic medical records, and justice and police information systems, reducing methodological fragmentation and supporting coordinated cross-sector learning while retaining the contextual specificity necessary for public service environments.
CLINICALTRIAL
Not applicable.
I. Steenhout, Ronald Buyl· JMIR Research Protocols· 0 citations
This study presents a landslide susceptibility assessment using multiple parameters by integrating remote sensing, GIS, and field observations in the Jammu and Kashmir region. Eight contributing variables were selected for landslide susceptibility analysis: Land Use and Land Cover (LULC), proximity to roads, streams, slope gradient, slope orientation (aspect), geology, geomorphology, and elevation. In addition, an extensive landslide inventory consisting of 669 landslide events was developed using the Field Landslide Inventory Mapping (FLIM) application, LISS-IV satellite data, and field observations, covering an area of 42,950.43 km². Landslide susceptibility mapping (LSM) was carried out using the Analytical Hierarchy Process (AHP) approach and validated with MaxEnt software and field-generated landslide data. The resulting landslide susceptibility map was classified into five categories: very high, high, medium, low, and very low susceptibility zones. Based on the AHP approach, these zones cover 3.65% (1,569.0483 km²), 24.43% (10,492.8912 km²), 51.56% (22,147.2369 km²), 18.81% (8,079.2199 km²), and 1.54% (662.0301 km²) of the study area, respectively. The weighted overlay and MaxEnt models proved effective for landslide vulnerability mapping, with MaxEnt achieving AUC values of 0.82 for training data and 0.807 for testing data, indicating good predictive performance. Field validation further showed that 87% of landslides occurred within high and very high susceptibility zones. The Jackknife test identified road proximity, slope, and stream proximity as the most significant independent variables influencing landslide occurrence. The generated landslide susceptibility map provides important insights for reducing landslide risk and serves as a valuable tool for infrastructure planning, community development, and disaster management in the region.
A. S. Jasrotia, Amit Sharma, I. C. Das et al.· Scientific Reports· 0 citations
A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.
