The significant impact of age on the clinical outcomes of laparoscopic appendectomy : results from the Polish Laparoscopic Appendectomy multicenter large cohort study

Acute appendicitis (AA) is the most common surgical emergency and can occur at any age. Nearly all of the studies comparing outcomes of appendectomy between younger and older patients set cut-off point at 65 years. In this multicenter observational study, we aimed to compare laparoscopic appendectomy for AA in various groups of patients with particular interest in the elderly and very elderly in comparison to younger adults. Our multicenter observational study of 18 surgical units assessed the outcomes of 4618 laparoscopic appendectomies for AA. Patients were divided in 4 groups according to their age: Group 1- 8 days. Logistic regression models comparing perioperative results of each of the 3 oldest groups compared with the youngest one showed significant differences in odds ratios of symptoms lasting >48hours, presence of complicated appendicitis, perioperative morbidity, conversion rate, prolonged LOS (>8 days). The findings of this study confirm that the outcomes of laparoscopic approach to AA in different age groups are not the same regarding outcomes and the clinical picture. Older patients are at high risk both in the preoperative, intraoperative, and postoperative period. The differences are visible already at the age of 40 years old. Since delayed diagnosis and postponed surgery result in the development of complicated appendicitis, more effort should be placed in improving treatment patterns for the elderly and their clinical outcome

Risk factors for serious morbidity, prolonged length of stay and hospital readmission after laparoscopic appendectomy : results from Pol-LA (Polish Laparoscopic Appendectomy) multicenter large cohort study

Laparoscopic appendectomy (LA) for treatment of acute appendicitis has gained acceptance with its considerable benefits over open appendectomy. LA, however, can involve some adverse outcomes: morbidity, prolonged length of hospital stay (LOS) and hospital readmission. Identification of predictive factors may help to identify and tailor treatment for patients with higher risk of these adverse events. Our aim was to identify risk factors for serious morbidity, prolonged LOS and hospital readmission after LA. A database compiled information of patients admitted for acute appendicitis from eighteen Polish and German surgical centers. It included factors related to the patient characteristics, peri- and postoperative period. Univariate and multivariate logistic regression models were used to identify risk factors for serious perioperative complications, prolonged LOS, and hospital readmissions in acute appendicitis cases. 4618 laparoscopic appendectomy patients were included. First, although several risk factors for serious perioperative complications (C-D III-V) were found in the univariate analysis, in the multivariate model only the presence of intraoperative adverse events (OR 4.09, 95% CI 1.32-12.65, p = 0.014) and complicated appendicitis (OR 3.63, 95% CI 1.74-7.61, p = 0.001) was statistically significant. Second, prolonged LOS was associated with the presence of complicated appendicitis (OR 2.8, 95%CI: 1.53-5.12, p = 0.001), postoperative morbidity (OR 5.01, 95% CI: 2.33-10.75, p < 0.001), conversions (OR 6.48, 95% CI: 3.48-12.08, p < 0.001) and reinterventions after primary procedure (OR 8.79, 95% CI: 3.2-24.14, p < 0.001) in the multivariate model. Third, although several risk factors for hospital readmissions were found in univariate analysis, in the multivariate model only the presence of postoperative complications (OR 10.33, 95% CI: 4.27-25.00), reintervention after primary procedure (OR 5.62, 95% CI: 2.17-14.54), and LA performed by resident (OR 1.96, 95%CI: 1.03-3.70) remained significant. Laparoscopic appendectomy is a safe procedure associated with low rates of complications, prolonged LOS, and readmissions. Risk factors for these adverse events include complicated appendicitis, postoperative morbidity, conversion, and re-intervention after the primary procedure. Any occurrence of these factors during treatment should alert the healthcare team to identify the patients that require more customized treatment to minimize the risk for adverse outcomes

Implementation and Process of Biogas Plant in Food Industry

This thesis focuses on the production of biogas obtained from the food industry. The main idea of the work was to present anaerobic digestion process for food industry and having co-operation with the factory of frozen French fries, Farm Frites Poland SA, where the existing Wastewater Treatment Plant was developed by implementation of biogas plant. Thesis introduces the proper management of food wastes and losses, and their utilization. This installation and technology brings a lot of benefits such as: recovery of electricity and heat by the CHP units, lower operating costs and, of course, reducing greenhouse gases emissions. In chapter 2 the main concepts of the thesis and their explanation are presented. The next section contains information about biogas; what it is, its potential as well as its advantages and disadvantages. Chapter 4 presents different branches of the food industry where the anaerobic stage may be successfully implemented and their legal framework. In chapter 5 the focus is on the production of biogas during the anaerobic process; its feedstock, process biology and technology and also possibilities of use. The last chapter is a presentation of a real, implemented biogas plant in Farm Frites Poland SA, which has improved the process of wastewater treatment and allowed recovery of electricity and heat for the need of factory. Presented are laboratory analysis and comparison of post-production wastewater with finally purified effluent

Wywiad II RP bez tajemnic

Report:Grzegorz Łukomski, W przestrzeni tajemnic polskiego wywiadu wojskowego 1918–1945, Łomianki 2022, ss. 328Recenzja:Grzegorz Łukomski, W przestrzeni tajemnic polskiego wywiadu wojskowego 1918–1945, Łomianki 2022, ss. 32

Recognition of Human Activities Using Depth Maps and the Viewpoint Feature Histogram Descriptor

In this paper we propose a way of using depth maps transformed into 3D point clouds to classify human activities. The activities are described as time sequences of feature vectors based on the Viewpoint Feature Histogram descriptor (VFH) computed using the Point Cloud Library. Recognition is performed by two types of classifiers: (i) k-NN nearest neighbors&rsquo; classifier with Dynamic Time Warping measure, (ii) bidirectional long short-term memory (BiLSTM) deep learning networks. Reduction of classification time for the k-NN by introducing a two tier model and improvement of BiLSTM-based classification via transfer learning and combining multiple networks by fuzzy integral are discussed. Our classification results obtained on two representative datasets: University of Texas at Dallas Multimodal Human Action Dataset and Mining Software Repositories Action 3D Dataset are comparable or better than the current state of the art

Results of integrated geoarchaeological prospection of unique Iron Age hillfort located on Radomno Lake island in north-eastern Poland

Archaeology of north-eastern Poland has been poorly recognized owing to vast forest areas and numerous lakes. This particularly refers to the Warmian–Masurian Voivodship, where forest covers over 30% of its area. Prospection of forested areas has become possible in Poland just over 10 years ago with the Airborne Laser Scanning (ALS) and Light Detection and Ranging (LiDAR). These techniques allow obtaining 3-D documentation of recognized and also unknown archaeological sites in the forested areas. Thanks to ALS/LiDAR prospection a significant number of archaeological structures have been identified also in the Warmia and Masuria regions. Among them oval-shaped hillforts, surrounded by perfectly spaced concentric moats and ramparts, located mainly on islands and in wetland areas, have raised particular attention. Based on field prospection and results of preliminary excavations, these objects have been considered as Iron Age hillforts. One of the best preserved objects of this type is on the Radomno Lake island, located several kilometres to the south of Iława town. Integrated geoarchaeological prospection of this hillfort emphasized benefits of using LiDAR in combination with results of geophysical prospection and shallow drillings. Applied methodology enabled to document the hillfort shape, and to study its geological structure and stratigraphy. The results clearly indicate that integration of LiDAR data with geophysical prospecting is indispensable in future archaeological surveys. It is a perfect tool for remote sensing of archaeological objects in forest areas, so far not available for traditional archaeology