An Evaluation Agent, middleware that combines Natural Language Inference factual verification, a five-signal poison detector with relevance-weighted aggregation, and a Trust Index is proposed, which reliably blocks instruction injection of unsafe advice while contradiction and subtle semantic weakening remain hard.
Balkrishna Giri, M. Hasan, Jussi Rasku et al.· 0 citations
Generative artificial intelligence (GAI) is becoming more incorporated into software engineering functions like code creation, debugging, requirement analysis, testing, and sharing knowledge. This research looks at how GAI affects software teams in terms of productivity and quality of the output in Agile environments. The research design used is quantitative, cross-sectional survey type using a questionnaire prepared for this research. The data used consists of 35 responses, with 34 usable cases in analyzing 30 Likert items. The measuring instrument consists of six concepts: use of GAI, efficiency of the software team, quality of the software output, GAI in Agile, team collaboration, and communication, and overall impact perceived. The descriptive results show positive feelings about the six concepts. The values on the mean for the different concepts varied from 3.54 to 3.78 on a scale of five, with GAI being the concept that received the highest mean (M = 3.78, SD = 0.47) while productivity was the one that received the lowest (M = 3.54, SD = 0.69). The instrument has a high level of internal consistency with α = 0.799 for the entire scale of 30 items. In terms of specific items, productivity, quality, and team collaboration had acceptable reliability, whereas GAI had low internal consistency and Agile and general have the upper limit of reliability therefore, construct-level findings should be interpreted cautiously.
Pearson correlation analysis showed statistically significant positive associations between overall perceived impact and software output quality (r = 0.365, p = 0.034) and team collaboration and communication (r = 0.371, p = 0.031). Productivity was positively associated with overall impact but did not reach the conventional 0.05 significance level (r = 0.312, p = 0.073). In a multiple regression model, the five dimensions explained 23.5% of the variance in overall perceived impact (R² = 0.235); however, the overall model was not statistically significant (F(5, 28) = 1.719, p = 0.163). These findings support a cautious interpretation: respondents generally perceive GAI positively, but the present small sample does not provide strong evidence for broad causal claims.
Abdalmenam Khalif Masaud Abuswah, Abdarrahman Khalif Ali Abousowa, Ziad Omar Salem Wareg· Al-Farooq Journal of Science...· 0 citations
The findings of the present study indicated that potential complications such as delayed union, nonunion, and osteomyelitis in the intramedullary nailing method are approximately comparable to those of the external fixator method.
Reza Noktesanj, Ali Nami, F. Amani et al.· journal of Health Research a...· 0 citations
Simulation of tillage operations is critical for precision management of soil-tool interactions, facilitating the conservation of soil structure. Improper use of machinery during land preparation in agriculture may lead to soil structure destruction. This paper aimed to analyze the effect of deep tillage on soil structure and the measured and simulated tillage resistance of the subsoiler cum rotary mixing implement. Soil bin measurements were collected using a motorized trolley with resistance sensors and a soil profilometer. A 3D geometry of the implement was created using PTC Creo Parametric 3D Modelling software, and the soil bed was modeled by discrete element (DE) particles using EDEM software. Accurate calibration of the DE model parameters was achieved by reproducing the soil bin. The cohesion between the particles was created by adding a cohesion resistance to the normal contact resistances to simulate the actual cohesive soil. It was found that the shape of the rotary blades significantly impacts the measured tillage resistance, the formed soil profile, and the simulations. The relative error of 0.4%, 4.9% and 4.2% was obtained for horizontal resistance, vertical resistance and soil profile respectively. The horizontal resistance showed the best regression results of 0.9997 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:{R}^{2}$$\end{document} at a \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:NRMSE$$\end{document} of 0.04, followed by the soil furrow with 0.9936 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:{R}^{2}$$\end{document} and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:NRMSE$$\end{document} of 0.23 and vertical resistance with 0.9 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:{R}^{2}$$\end{document} and a \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:NRMSE$$\end{document} of 0.27. The unpaired T-Test showed no statistically significant difference \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:(p>0.05)$$\end{document} between simulation and experimental results. Regardless of tillage depth, soil layers cannot be destroyed with the proper blades on rotary tillers. DEM can be used as an accurate, consistent, and fast method of effectively predicting the final soil condition and resistances needed for tillage operations. This paper presents DEM to analyze the effect of deep tillage on soil structure. The resistance sensors in the motorized trolley were used to measure soil tillage resistance during deep tillage operations. The DEM is useful in the optimization of tillage tools. The developed model was NS for the unpaired t-test \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:(p>0.05)$$\end{document}. This paper presents DEM to analyze the effect of deep tillage on soil structure. The resistance sensors in the motorized trolley were used to measure soil tillage resistance during deep tillage operations. The DEM is useful in the optimization of tillage tools. The developed model was NS for the unpaired t-test \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:(p>0.05)$$\end{document}.
N. Makange, C. Ji· Discover Soil· 0 citations
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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.
Zhexuan Zhang, Lan Lu, G. Videtic et al.· Journal of Applied Clinical...· 0 citations
It is suggested 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, Dongya 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
A USAF cadet and a Lincoln Laboratory researcher found AI chatbots can help nontechnical service members produce viable software applications for their unique problems.
