Continuous Technique Research Articles

Novel drug sampling technique: portal vein catheterization in steers.

To determine the feasibility of catheterizing the portal vein to obtain serial portal vein blood samples in steers. We hypothesized that the portal vein catheterization would be a successful continuous sampling technique with minimal adverse effects in steers. 2 groups of steers were used: a pilot group (n = 2) and experimental group (n = 6). In both groups, steers were sedated with xylazine. The right rib spaces were clipped and aseptically prepped. The portal vein was visualized via ultrasound, and a 14-gauge catheter was placed percutaneously and advanced into the portal vein. A guide wire was passed through the catheter, followed by a tissue dilator and then a vascular balloon catheter. In the pilot group, blood chemistries were performed prior to portal vein catheterization and then again once the catheter was placed (with samples from both the jugular vein and portal catheter). The liver was also examined at necropsy for any gross lesions in both groups. All steers tolerated the portal vein catheters well, with the catheters lasting for the full length of the study period (7 days). The only observed adverse reaction was a superficial abscess at the catheter site (n = 3). On necropsy, 1 liver had gross discoloration, but no other abnormalities were noted. There were no significant changes in biochemistry profiles before or after portal vein catheterization. Portal vein catheterization is a novel and feasible serial sampling technique of the portal vein. This technique can be used in future pharmacokinetic, nutrition, metabolism, or toxicity studies.

Continuous Catheter Techniques Versus Single-Injection Nerve Blocks: A Comprehensive Review of Postoperative Pain Management Strategies.

Effective postoperative pain management is crucial for optimizing patient recovery and enhancing surgical outcomes. This review compares two prominent regional anesthesia techniques, continuous catheter techniques and single-injection nerve blocks, focusing on their efficacy, safety, and impact on patient outcomes. Single-injection nerve blocks involve administering a one-time anesthetic dose to a specific nerve or plexus, offering immediate but transient pain relief. In contrast, continuous catheter techniques utilize a catheter to deliver a continuous infusion of anesthetic, providing extended analgesia. The review synthesizes current evidence on the effectiveness of each method, highlighting that single-injection blocks are advantageous for their simplicity and rapid onset but may require supplementary pain management for longer procedures. Continuous catheter techniques, while offering prolonged pain relief, carry risks such as infection and catheter displacement. The comparative analysis of these techniques reveals that both have distinct roles in postoperative care, with choice depending on the surgical procedure and patient needs. Patient satisfaction, recovery times, and overall outcomes are critical factors in determining the optimal pain management strategy. Future research should focus on refining these techniques and exploring innovations to improve patient care and pain management outcomes. This review provides insights for clinicians to make informed decisions about postoperative pain management to enhance patient comfort and recovery.

Smear Layer Removing and Pulp Dissolving Ability of Sodium Hypochlorite Mixed with Two Etidronate-Containing Irrigants in Continuous Chelation Technique

The study aimed to assess the effect of two etidronate-containing irrigants and EDTA on the ability of sodium hypochlorite (NaOCl) to remove the smear layer and dissolve organic tissues. This study evaluated the following solutions: distilled water, 3% NaOCl, 3% NaOCl + EDTA, and 3% NaOCl mixed with etidronate powder from two manufacturers [Dual Rinse, (DR); IsraDent, (ID)] to obtain 9%, 15%, and 18% solutions. To assess the proteolytic activity, bovine muscle tissue samples (56.1 ± 5.4 mg; n = 10 per group) were immersed in the tested solutions for 15 min. Absolute weight changes and percentages of weight changes (wt%) were calculated. To assess smear layer removal, the root canals of human wisdom teeth were instrumented, irrigated with the tested solutions (n = 10 per group), and evaluated using SEM. Statistical analysis employed an ANOVA with a post-hoc Tukey test and paired t-test, the Kruskal–Wallis test with a pairwise Wilcoxon rank sum test, and the Friedman test with a pairwise Wilcoxon signed-rank test. The mean weight loss in the NaOCl group comprised 17.3 mg (32 wt%). Sequential use of NaOCl and EDTA resulted in a significant increase in proteolytic activity of the former (57 wt%), while mixing these solutions led to a reduction of proteolytic activity (17 wt%). All NaOCl/DR groups exhibited a significantly greater dissolution activity than that of NaOCl alone, with the mean weight loss ranging from 23.3 mg (40 wt%) to 24 mg (41 wt%). ID9% and ID15% significantly decreased the proteolytic activity of NaOCl. In most groups, the apical thirds of the root canals demonstrated a significantly heavier smear layer compared to the middle and coronal thirds. The most effective smear layer removal was observed after irrigation with NaOCl combined with EDTA or DR (all concentrations); however, in the NaOCl + EDTA and DR18% groups, it was accompanied by moderate to severe erosion. Irrigation with ID did not result in smear layer removal or dentin erosion. In conclusion, the smear layer removal and pulp dissolving effects of continuous chelation using etidronate were manufacturer/composition-dependent. DR9% combined with NaOCl demonstrated the most promising results.

Efficient finite element strategy using enhanced high-order and second-derivative-free variants of Newton's method

In this work, we propose a stable finite element approximation by extending higher-order Newton's method to the multidimensional case for solving nonlinear systems of partial differential equations. This approach relies solely on the evaluation of Jacobian matrices and residuals, eliminating the need for computing higher-order derivatives. Achieving third and fifth-order convergence, it ensures stability and allows for significantly larger time steps compared to explicit methods. We thoroughly address accuracy and convergence, focusing on the singular p-Laplacian problem and the time-dependent lid-driven cavity benchmark. A globalized variant incorporating a continuation technique is employed to effectively handle high Reynolds number regimes. Through two-dimensional and three-dimensional numerical experiments, we demonstrate that the improved cubically convergent variant outperforms others, leading to substantial computational savings, notably halving the computational cost for the lid-driven cavity test at large Reynolds numbers.

Continuous fake media detection: Adapting deepfake detectors to new generative techniques

Generative techniques continue to evolve at an impressively high rate, driven by the hype about these technologies. This rapid advancement severely limits the application of deepfake detectors, which, despite numerous efforts by the scientific community, struggle to achieve sufficiently robust performance against the ever-changing content. To address these limitations, in this paper, we propose an analysis of two continuous learning techniques on a Short and a Long sequence of fake media. Both sequences include a complex and heterogeneous range of deepfakes (generated images and videos) from GANs, computer graphics techniques, and unknown sources. Our experiments show that continual learning could be important in mitigating the need for generalizability. In fact, we show that, although with some limitations, continual learning methods help to maintain good performance across the entire training sequence. For these techniques to work in a sufficiently robust way, however, it is necessary that the tasks in the sequence share similarities. In fact, according to our experiments, the order and similarity of the tasks can affect the performance of the models over time. To address this problem, we show that it is possible to group tasks based on their similarity. This small measure allows for a significant improvement even in longer sequences. This result suggests that continual techniques can be combined with the most promising detection methods, allowing them to catch up with the latest generative techniques. In addition to this, we propose an overview of how this learning approach can be integrated into a deepfake detection pipeline for continuous integration and continuous deployment (CI/CD). This allows you to keep track of different funds, such as social networks, new generative tools, or third-party datasets, and through the integration of continuous learning, allows constant maintenance of the detectors.

Six transition patterns and seven capture types in different left bundle branch bipolar pacing configurations.

This study aims to explore the different transition patterns and capture types during two bipolar pacing tests based on the selective left bundle branch (LBB) capture determined by the continuous pacing and recording technique. In total, 67 patients completed two unipolar and two bipolar pacing tests based on selective LBB capture during screwing-in for left bundle branch pacing (LBBP) using the continuous pacing and recording technique. The electrophysiological characteristics and potential mechanisms of different pacing configurations were further evaluated in this study. We found six transition patterns and derived seven capture types in two bipolar pacing tests according to the analysis of continuous electrocardiogram and electrogram changes. Compared with the conventional configuration of "Tip-Ring+" bipolar pacing, "Ring-Tip+" testing had a lower threshold for simultaneous capture of the LBB and the left and right ventricular septum myocardium (1.57 vs. 2.84 V at 0.5 ms) and was the only configuration to yield the peculiar "LBBP + right ventricular septum pacing (RVSP)" capture type. In this study, we observed for the first time that "Ring-Tip+" bipolar pacing allows for a lower clinically applicable pacing threshold for simultaneous capture of the LBB and left and right ventricular septum myocardium, and the peculiar "LBBP + RVSP" capture type. This may be a more advantageous physiological pacing configuration, warranting further investigation and application in the future. Based on the specific selective LBB capture, we first found six transition patterns and derived seven capture types in two bipolar pacing tests due to the different thresholds of the LBB, left ventricular septal myocardial, and right ventricular septal myocardial. Compared with the conventional configuration of "Tip-Ring+" bipolar pacing, "Ring-Tip+" testing had a lower threshold for simultaneous capture of the LBB and the left and right ventricular septum myocardium (1.57 vs. 2.84 V at 0.5 ms) and was the only configuration to yield the peculiar "LBBP + RVSP" capture type. More pacing strategies should be released and investigated to achieve the best physiological pacing according to the individualized electrophysiological characteristics of patients.

The role of dynamic friction in the appearance of periodic oscillations in mechanical systems

This article investigates the appearance of periodic mechanical oscillations associated with the transition between static and dynamic friction regimes. The study employs a mechanical system with one degree of freedom and a friction model recently proposed by Brown and McPhee, whose continuity and differentiability properties make it particularly appropriate for an analytical treatment of the equations. A bifurcation study of the system, including stability analysis, transformation to normal form and numerical continuation techniques, reveals that stable periodic orbits can be created either by a supercritical Hopf bifurcation or by a saddle-node bifurcation of limit cycles. The influence of all system parameters on the appearance of periodic oscillations is investigated in detail. In particular, the effect of the friction model parameters (static-to-dynamic friction ratio and transition speed between the static and dynamic regimes) on the bifurcation behavior of the system is addressed.

Seeded granulation process in twin-screw granulators: A DEM approach

Twin-screw granulation is a promising continuous manufacturing technique for producing granules with tailored properties. This study investigates the impact of screw configuration and speed on seeded granule formation using discrete element method (DEM) simulations. The aim is to identify optimal screw designs and operating conditions that yield desirable granule characteristics, such as high coordination, fine particle coverage, and throughput. DEM simulations were performed using Altair's EDEM software, employing Hertz-Mindlin and JKR contact models to capture particle-particle interactions and binder liquid effects. Five screw configurations (C1, C2, C3, C4, and CI) with varying conveying zone lengths and kneading elements were investigated, and screw speed was varied from 300 to 800 RPM. The Results show that screw configuration plays a crucial role in determining seeded granule characteristics. Increasing screw speed had a detrimental effect on granule properties, with lower speeds of 300 RPM yielding the granules with the greatest coordination number with the highest fine coverage. The study highlights the complex interplay between screw configuration, conveying zone length, kneading elements, and residence time in determining granule properties. Recommendations are provided for selecting suitable screw configurations and operating conditions for specific applications. Further research is suggested to investigate granule size distribution and morphology at different liquid properties screw speeds, and liquid-to-solid ratios.

Design of Robotics Implementation of A Fingerprint Biometric System

Biometrics, rooted in the Greek terms "bios" (life) and "metrikos" (measure), represents a modern approach to identifying individuals based on their unique physical characteristics, such as fingerprints, facial features, and iris patterns. In today's increasingly digital landscape, traditional security methods like passwords and keys have become inadequate in safeguarding sensitive information. The rise of sophisticated cyberattacks and unauthorized access has highlighted the need for more advanced and secure authentication methods. This project aims to design and implement a fingerprint biometric system using robotics and FPGA technology. The system is intended to provide a more reliable and secure method of verifying identities by capturing and processing fingerprint images. It will extract minutiae points, the unique features within a fingerprint, to create a robust authentication mechanism. This approach promises to enhance security by offering an alternative to conventional methods that are often vulnerable to breaches. In developing this biometric system, the focus will be on ensuring that it can be effectively integrated into various applications where secure access control is crucial. By leveraging the unique and immutable nature of fingerprints, the system will reduce the risks associated with password reuse, theft, and unauthorized sharing. The inclusion of continuous authentication techniques will further strengthen security, ensuring that the user’s identity is verified throughout a session, not just at the initial login. Additionally, the project will incorporate version control mechanisms to track the development and deployment of the system, ensuring that any changes or updates can be easily managed and reviewed. This will help maintain the system's reliability and effectiveness over time, allowing it to adapt to evolving security challenges. Through this work, we aim to contribute to the broader adoption of biometric technologies in securing digital and physical environments, paving the way for more secure and seamless user experiences.

Double-Needle Bidirectional Barbed Wire Continuous Layered Suture Technique for Laparoscopic Stage I Common Bile Duct Surgery.

Background: Laparoscopic common bile duct exploration (LCBDE) proves a safe and effective treatment for choledochal stones. After LCBDE, preferred choledochal closure is favored for short- and long-term outcomes compared with t-tube drainage. However, there are no relevant studies on the technique of layered closure of the common bile duct with double-needle bidirectional barbed suture at home and abroad. Materials and Methods: A retrospective study of 37 patients who underwent laparoscopic choledochotomy from January 2021 to October 2023 in our hospital was performed. A continuous layered one-stage suture using two-needle bidirectional barb wire. The primary outcomes were stone clearance, operative time, blood loss, and complications. Secondary outcomes were complications, length of hospitalization, and time to drain removal. Results: During the study period, laparoscopic surgery was successful in all cases, and the initial stones were removed without complications. Conclusion: The treatment of choledocholithiasis with continuous layered one-stage suture with double-needle bidirectional barbed wire after LCBDE is a new convenient and effective treatment in selected patients.

Sensitive Determination of Hydrochlorothiazide Drug in the Various Samples Via Developed Method of CFIA System

تحديد عقار هايدروكلوروثيازايد في العينات الصيدلانية والبايولوجية الادرار باستخدام تقنية جديدة لتحليل الحقن الجرياني المستمر وهي سريعة , بسيطة ,اقتصادية وحساسة. المعقد المتكون بواسطة تفاعل هيدروكلوروثيازايد مع اورثوفانيلين داي امين مع فيروسيانيد البوتاسيوم لانتاج ناتج ملون برتقالي عند طول موجي 480 نانومتر كان الاساس للطريقة المطورة . العوامل الكيميائية و الفيزيائية الاخرى التي لها تؤثر على استقرارية وتطور الناتج الملون المستخدم في هذه الطريقة المطورة تضمنت حجم العينة,معدل التدفق,تركيز الكاشف وملف التفاعل ,خطية الطريقة المقترحة كانت 5-150 مايكروغرام .مل-1 ومعامل الارتباط كان0.9988 و كانت قيم النسبة المئوية للأسترداد والخطاء النسبي٪100.88, 0.88 على التوالي .قيم حد الكشف والحد الكمي 2.622,7.97 . نمذجة العينة 90 نموذج لكل ساعة تم استخدام النهج الجديد بشكل فعال لتحديد الهايدروكلورثيازايد في العينات النقية ,البايولوجية وا لصيدلانية

Comparative Study between Continuous and Interrupted Suturing in Laparoscopic Pyeloplasty

Background: Ureteropelvic junction obstruction (UPJO) is a common cause of symptomatic ureteral obstruction. Dismembered pyeloplasty is the most commonly employed procedure for the repair of UPJO. Both interrupted and continuous suturing is being practiced in laparoscopy. As satisfactory anastomosis determines the success of dismembered pyeloplasty and recovery of renal function, the success rate and the complications associated with the suturing technique need to be evaluated. Objective: To compare the outcome between continuous and interrupted suturing in laparoscopic pyeloplasty. Methods: This hospital-based, quasi-experimental study was done in the Department of Urology, Dhaka Medical College Hospital (DMCH), Dhaka and the National Institute of Kidney Diseases & Urology (NIKDU), Dhaka from July 2022- June 2023. A total of 60 patients were purposively selected for the study. According to the suture method for ureteropelvic anastomosis, patients were divided into two groups: 30 patients (group A) underwent surgery with the continuous suture method, and 30 patients (group B) underwent surgery with the interrupted suture method. Data on suturing time, post-operative drain output, post-operative hospital stay and post-operative complications were collected. Patients were followed up at 01, 03 and 06 months. At 06 months, a DTPA renogram with split GFR was done to evaluate the patients. Results: The mean ages were 30.0 (±8.3) years for Group A and 33.9 (±9.3) years for Group B, with males comprising 56.7% and 63.3% of each group, respectively. Group B had significantly higher mean suturing time, post-operative drain output, and hospital stay compared to Group A (p<0.001). No significant differences in GFR were noted between the groups (p>0.05). Post-operative complications were observed in 10.0% of Group A and 23.3% of Group B (p=0.166). Conclusion: Continuous suturing technique for pyeloplasty is found to have a lower mean suturing time, mean drain output and post-operative hospital stay.

Automated particle inspection of continuously freeze-dried products using computer vision

The pharmaceutical industry is progressing towards more continuous manufacturing techniques. To dry biopharmaceuticals, continuous freeze drying has several advantages on manufacturing and process analytical control compared to batch freeze-drying, including better visual inspection potential. Visual inspection of every freeze-dried product is a key quality assessment after the lyophilization process to ensure that freeze-dried products are free from foreign particles and defects. This quality assessment is labor-intensive for operators who need to assess thousands of samples for an extensive amount of time leading to certain drawbacks. Applying Artificial Intelligence, specifically computer vision, on high-resolution images from every freeze-dried product can quantitatively and qualitatively outperform human visual inspection. For this study, continuously freeze-dried samples were prepared based on a real-world pharmaceutical product using manually induced particles of different sizes and subsequently imaged using a tailor-made setup to develop an image dataset (with particle sizes from 50μm to 1 mm) used to train multiple object detection models. You Only Look Once version 7 (YOLOv7) outperforms human inspection by a large margin, obtaining particle detection precision of up to 88.9% while controlling the recall at 81.2%, thus detecting most of the object present in the images, with an inference time of less than 1 s per vial.

Evaluation of end-organ protection in newborns and infants after surgery of aortic arch hypoplasia: A prospective randomized study.

Surgical repair of aortic arch hypoplasia in children requires a "dry" surgical field with reliable end-organ protection. Perfusion strategies commonly involve deep hypothermic circulatory arrest (DHCA) and variations of the continuous perfusion techniques, such as selective antegrade cerebral perfusion (SACP) and full-flow perfusion with double aortic cannulation (DAC). We aimed to evaluate the end-organ protection in the surgery of aortic arch hypoplasia in newborns and infants using DHCA and DAC. 66 newborns and infants with aortic arch hypoplasia and biventricular anatomy were enrolled in this prospective study. Patients were randomly assigned into two groups according to the perfusion strategy - DHCA (n = 33); and DAC (n = 33). Primary endpoint: acute kidney injury (AKI), graded according to the KDIGO score. Secondary endpoints: neurological sequelae (pre- and postoperative MRI), in-hospital mortality. The lowest temperature was 32 (28; 34)°С in the DAC group and 23 (20; 25)°С in the DHCA group. The patients with DAC had lower incidence of AKI (6 patients (18.2%) versus 19 patients (57.6%); p = .017). In the multivariate analysis, the inotropic index at 48h was identified as a risk factor, increasing the risk of AKI by 4%. The DHCA group was associated with a 3.8-fold increase in the risk of AKI. There was no difference in hospital mortality between the DAC and DHCA groups (1 patient (3%) versus 3 patients (9.1%); p = .61). Neurological sequelae by MRI scan were observed in 18 patients (54.5%) in the DHCA group compared to 5 patients (15.15%) in the DAC group (p = .026). The only risk factor identified in the multivariate analysis for neurological lesions on MRI scan was the DHCA group, which increased the risk by 8.8 times. Surgical reconstruction of the aortic arch hypoplasia using the method of full-body perfusion reduces the incidence of neurological lesions and renal complications requiring renal replacement therapy compared with the deep hypothermic circulatory arrest in neonates and infants.

Enclosure design and welfare of plains zebras: Impact of enclosure design on behavior and space use of plains zebras under human care

ABSTRACT Plains zebras are commonly hosted in zoos, but few welfare-related studies are available in the literature. This research aimed to assess the effect of enclosure design on two groups of captive zebras housed at the Giardino Zoologico di Pistoia – GZP (Italy) and Parco Faunistico Valcorba – PFV (Italy) through the analysis of behavior and enclosure use. The groups consisted of an adult pair and a male juvenile at GZP and six adult females at PFV. We collected data in 2019 over 19 sampling days using the continuous focal animal sampling technique. We performed 12 observation sessions per day, with each session lasting 30 min. We analyzed the subjects’ behavioral time budget and enclosure use using Generalized Linear Mixed Models and the Electivity Index. The results showed that the time allocated to feeding behavior varied from 8–16% in the enclosure with gravel substrate (GZP) to 72–85% in the exhibit enriched with a pasture (PFV), with this last percentage resembling data reported for wild zebras. Results showed that institution was a significant predictor of feeding behavior, suggesting that the presence of a pasture can stimulate food-related behavioral patterns. Regarding enclosure use, the presence of hay and water troughs influenced the animals’ space use. Our findings also suggest that evaluating both behavior and enclosure use can provide a more comprehensive overview of the welfare state of the animals. However, future studies are needed to better investigate the influence of social factors on the behavior and enclosure usage of captive Plains zebras.

Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems

Intrusion Detection Systems (IDS) have become pivotal in safeguarding information systems against evolving threats. Concurrently, Concept Drift presents a significant challenge in machine learning, affecting the adaptability and accuracy of predictive models in dynamic environments. Understanding the synergy between IDS and Concept Drift is crucial for developing robust security systems. The motivation behind this survey is driven by the emerging complexities in cyber threats and the dynamic nature of data streams, which necessitate advanced IDS capable of adapting to Concept and Feature Drift. Our analysis reveals a glaring omission in the existing literature—the integration of Concept Drift and Feature Drift within IDS. Most studies have focused on Concept Drift in a general context or on IDS but have yet to comprehensively consider the implications of data dynamics. This oversight has led to a fragmented understanding and suboptimal approaches to tackling modern cyber threats. To address this, we propose a comprehensive review that delves into the role of machine learning in IDS, explicitly focusing on Concept and Feature Drift. We have proposed a framework that includes all the necessary components for a drift-aware IDS. The framework incorporates dynamic feature selection, adaptive learning algorithms, and continuous monitoring techniques to handle Concept Drift and Feature Drift effectively. The survey highlights state-of-the-art methodologies and current challenges in integrating these concepts. The methodology involves an exhaustive analysis of published works from 2019 to 2024, comparing and contrasting various models and approaches. This includes a detailed examination of Concept Drift-aware IDS methods, dynamic feature selection techniques, and the impact of high dimensionality in IDS. These quantitative improvements underscore the necessity for developing adaptive and resilient IDS. The survey uncovers under-represented areas in current research, paving the way for future investigations. By highlighting these gaps and providing comparative data, the survey sets a clear direction for upcoming research efforts to foster the development of more dynamic and adaptable IDS solutions. The quantitative experimental evaluation of the proposed framework is planned to be conducted in a future article, where we will assess its effectiveness and performance in real-world scenarios.

Polymorph selection of pharmaceutical cocrystals via bench-top and continuous production techniques

Polymorphism can be a valuable tool as well as an impediment in the development and approval of pharmaceuticals, providing an opportunity to tune active pharmaceutical ingredient (API) physicochemical properties. The control of polymorphism in cocrystalline systems and other multicomponent forms remains underexplored. The study herein aims to investigate the potential of several techniques, liquid-assisted grinding (LAG), solvent evaporation (SE), supercritical enhanced atomization (SEA) and electrospraying, to control the cocrystal polymorphic outcome of three cocrystals: isonicotinamide-citric acid (IsoCa), ethenzamide-saccharin (EthSac) and ethenzamide-gentisic acid (EthGa). Solvent selection employing LAG and SE showed little effect on polymorphic outcome. Electrospraying and SEA primarily produced the α form of IsoCa, with process parameter variations leading to the β form during SEA, and a mixture of α and γ from electrospraying. Electrospraying led to the stable form I of EthSac, while SEA could produce pure form II, and a mixture. Electrospraying produced the form I of EthGa while SEA could produce form II, with an unknown polymorphic impurity. Density functional theory (DFT) computed electron density (ED) maps of cocrystal polymorph binary systems further rationalised the polymorphic predominance observed through the electrospraying. Ultimately this study provides a general road map for polymorph selection via atomization-based methodologies.

Automated model order reduction for building thermal load prediction using smart thermostats data

This paper presents a methodology to automatically determine the structure of sufficiently accurate grey-box models for model predictive control, energy efficiency and flexibility applications in buildings. The methodology is based on model reduction and system identification techniques, with a path that enhances data pre-processing, a multistage order reduction, and parameter estimation. The model structure is determined with a cascade approach that either neglects, keeps, or aggregates thermal zones by using discrete and continuous frequency domain techniques. Once the optimal structure is identified, the parameters are calibrated with the measured data from smart thermostats, using the model predictive control relevant identification method. The methodology is applied to a monitored house located in Québec, Canada. The developed algorithm identifies adjacent zones, even when the building layout is unknown, by studying indoor temperature fluctuations. The results concerning the model creation suggest that, for this specific building, the aggregation by floor is the most efficient way for creating reduced order thermal models, limiting uncertainty due to thermal zone interaction. This methodology provides control-oriented models that accurately predict response up to 24-h ahead with Root Mean Square Error less than 0.5 °C and acceptable Fitness Function values for the minimum number of selected parameters. Finally, several scenarios demonstrate the insights gained from using grey-box building thermal models for design, control, and retrofitting applications.

Steady-state versus burst lasing techniques for thulium fiber laser

ObjectiveTo evaluate the stone ablation rate and direct thermal damage from thulium fiber laser (TFL) lithotripsy using continuous (C) and burst (B) lasing techniques on an in vitro ureteral model.MethodsThe TFL Drive (Coloplast, Humlebaek, Denmark) was used in an in vitro saline-submerged ureteral model. Ten participants, including five junior and five experienced urologists, conducted the experimental setup with 7 different settings comparing two lasing techniques: steady-state lasing (0.5 J/10 Hz = 5W for 300 s and 0.5 J/20 Hz = 10W for 150 s) and burst, intermittent 5 s on/off lasing (0.5 J/20 Hz, 0.5 J/30 Hz, 0.5 J/60 Hz, 0.1 J/200 Hz, and 0.05 J/400 Hz) with a target cumulative energy of 1500 J using cubic 125 mm3 phantom BegoStonesTM. Ureteral damage was graded 1–3 based on the severity of burns and holes observed on the surface of the ureteral model.ResultsThe were no significant differences in stone ablation mass neither between C and B lasing techniques, nor between expertise levels. At C lasing technique had only mild ureteral lesions with no significant differences between expertise levels (p: 0.97) or laser settings (p: 0.71). At B lasing technique, different types of thermal lesions were found with no expertise (p: 0.11) or setting (p: 0.83) differences. However, B laser setting had higher grade direct thermal lesions than C (p: 0.048).ConclusionRegarding efficacy, C and B lasing techniques achieve comparable stone ablation rates. Safety-wise, B lasing mode showed higher grade of direct thermal lesions. These results should be further investigated to verify which of the lasing mode is the safest in vivo. Until then and unless proven otherwise, a C mode with low frequency should be recommended to avoid ureteral wall lesions.

Criteria for continuous neuraxial analgesia associated with reduced mortality in patients undergoing thoracotomy

IntroductionBoth thoracic epidural analgesia and thoracic paravertebral analgesia are effective techniques to control pain and minimize the stress response following thoracic surgery. We hypothesized that continuous neuraxial techniques may be...