The Ecological and Ethical Consumption Development Prospects in Poland Compared with the Western European Countries

An overview of the Western European literature shows that one of the most distinct trends in consumption that has been noted in the recent years is globally increasing environmental and social awareness. The issue of consumers' behaviours and attitudes towards "socially responsible products" has been gaining importance in Polish economy as well. This article evaluates the development prospects of ethical and ecological consumption in Poland vis-à-vis Western European countries. The comparative analysis being part of the article utilizes primary sources of information, i.e. interviews with a representative sample of Polish adults, as well as secondary sources of information. A factor analysis or, more precisely, a principal component analysis, allowed dividing Polish consumers into groups that were typologically homogeneous in respect of their sensitivity to various aspects of business ethics and ecology.Przegląd literatury zachodnio-europejskiej pozwala stwierdzić, że jednym z najbardziej zauważalnych trendów w sferze konsumpcji w ostatnich latach jest coraz większa świadomość ekologiczna i społeczna w wymiarze globalnym. Problematyka zachowań i postaw konsumentów wobec produktów "społecznie odpowiedzialnych" nabiera coraz większego znaczenia także w polskiej gospodarce. Celem artykułu jest ocena perspektyw rozwoju etyczneji ekologicznej konsumpcji w Polsce na tle krajów zachodnio-europejskich. Analizę porównawczą prowadzono bazując na źródłach wtórych jak i badaniach pierwotnych realizowanych na reprezentatywnej próbie losowej dorosłych mieszkańców Polski. W oparciu o analizę czynnikową, a dokładniej metodę analizy głównych składowych, dokonano także podziału polskich konsumentów na jednorodne grupy typologiczne pod względem ich wrażliwości na różne aspekty związane z ekologią i etyką

Phase Field Model for Three-Dimensional Dendritic Growth with Fluid Flow

We study the effect of fluid flow on three-dimensional (3D) dendrite growth using a phase-field model on an adaptive finite element grid. In order to simulate 3D fluid flow, we use an averaging method for the flow problem coupled to the phase-field method and the Semi-Implicit Approximated Projection Method (SIAPM). We describe a parallel implementation for the algorithm, using Charm++ FEM framework, and demonstrate its efficiency. We introduce an improved method for extracting dendrite tip position and tip radius, facilitating accurate comparison to theory. We benchmark our results for two-dimensional (2D) dendrite growth with solvability theory and previous results, finding them to be in good agreement. The physics of dendritic growth with fluid flow in three dimensions is very different from that in two dimensions, and we discuss the origin of this behavior

Synthesis of 3-(2-hydroxy–3,4-benzophenyl-5-methoxy)-5-(4-methoxy-phenyl)–1-substituted Pyrazolines

1-(2-hydroxy-3,4-benzophenyl-5-methoxy)-3aryl-prop-2-ene-1-one &  semicarbazide / thiosemicarbazide / phenylhydrazine /isonicotinic acid hydrazide were added to DMF and the mixture was refluxed for about 2 hours . The reaction mixture was cooled and diluted with water. The semisolid so obtained was triturated  with ethanol to get a solid which was  recrystallised from ethanol–acetic acid mixture to obtain titled pyrazolines&nbsp

“Am I also going to die, doctor?” A systematic review of the impact of in-hospital patients witnessing a resuscitation of another patient

Background: There is a growing interest in the impact of family-witnessed resuscitation. However, evidence about the effect of hospitalised patients witnessing other patients' resuscitations is limited. Aim: The aim of this systematic review is to explore the existing evidence related to the impact on patients who witness resuscitation attempts on other patients in hospital settings. Methods: The databases BNI, CINAHL, EMBASE, MEDLINE and PsycINFO were searched with the terms 'patient', 'inpatient', 'resuscitation', 'CPR', 'cardiopulmonary resuscitation' and 'witness'. The search strategy excluded the terms 'out-of-hospital', 'family' and 'relative'. The inclusion criteria were: studies related to patients exposed to a resuscitation attempt performed on another patient; quantitative and qualitative design; and physiological or psychological outcome measures. No limitations of date, language or settings were applied. Results: Five of the 540 identified studies were included: two observational studies with control groups and three qualitative studies with interviews and focus groups. Articles were published between 1968 and 2006 and were mostly rated to have a low quality of evidence. Quantitative results of the observational studies showed an increased heart rate in the study group witnessing a resuscitation (p = 0.05), increased systolic blood pressure (p < 0.01) and increased anxiety (p < 0.01). The qualitative studies highlighted the coping strategies adopted by exposed patients in response to witnessing resuscitation, including denial and dissociation. Conclusions: Our findings suggest that patients may find witnessing resuscitation to be a stressful experience. However, the evidence is sparse and mainly of poor quality. Further research is needed in order to better understand the impacts of patients witnessing a resuscitation of another patient and to identify effective support systems. © European Society of Cardiology 2017

Predicting Patient Patterns in Veterans Administration Emergency Departments

Veteran’s Affairs (VA) hospitals represent a unique patient population within the healthcare system; for example, they have few female and pediatric patients, typically do not see many trauma cases and often do not accept ambulance runs. As such, veteran-specific studies are required to understand the particular needs and stumbling blocks of VA emergency department (ED) care. The purpose of this paper is to analyze the demographics of patients served at VA EDs and compare them to the national ED population at large. Our analysis reveals that the VA population exhibits a similar set of common chief complaints to the national ED population (and in similar proportions) and yet differs from the general population in many ways. For example, the VA treats an older, predominantly male population, and encounters a much lower incidence of trauma. Perhaps most significantly, the incidence of psychiatric disease at the VA is more than double that of the general population (10% vs. 4%) and accounts for a significant proportion of admissions (23%). Furthermore, the overall admission percentage at the VA hospital is nearly three times that of the ED population at large (36% versus 13%). This paper provides valuable insight into the make-up of a veteran’s population and can guide staffing and resource allocation accordingly

Fusion Energy Output Greater than the Kinetic Energy of an Imploding Shell at the National Ignition Facility

A series of cryogenic, layered deuterium-tritium (DT) implosions have produced, for the first time, fusion energy output twice the peak kinetic energy of the imploding shell. These experiments at the National Ignition Facility utilized high density carbon ablators with a three-shock laser pulse (1.5 MJ in 7.5 ns) to irradiate low gas-filled (0.3  mg/cc of helium) bare depleted uranium hohlraums, resulting in a peak hohlraum radiative temperature ∼290  eV. The imploding shell, composed of the nonablated high density carbon and the DT cryogenic layer, is, thus, driven to velocity on the order of 380  km/s resulting in a peak kinetic energy of ∼21  kJ, which once stagnated produced a total DT neutron yield of 1.9×10¹⁶ (shot N170827) corresponding to an output fusion energy of 54 kJ. Time dependent low mode asymmetries that limited further progress of implosions have now been controlled, leading to an increased compression of the hot spot. It resulted in hot spot areal density (ρr∼0.3  g/cm²) and stagnation pressure (∼360  Gbar) never before achieved in a laboratory experiment

Earthquake trend prediction using long short-term memory RNN

The prediction of a natural calamity such as earthquakes has been an area of interest for a long time but accurate results in earthquake forecasting have evaded scientists, even leading some to deem it intrinsically impossible to forecast them accurately. In this paper an attempt to forecast earthquakes and trends using a data of a series of past earthquakes. A type of recurrent neural network called Long Short-Term Memory (LSTM) is used to model the sequence of earthquakes. The trained model is then used to predict the future trend of earthquakes. An ordinary Feed Forward Neural Network (FFNN) solution for the same problem was done for comparison. The LSTM neural network was found to outperform the FFNN. The R^2 score of the LSTM is better than the FFNN’s by 59%

Omental whirl associated with bilateral inguinal hernia: a case report

INTRODUCTION: Torsion of the omentum is a rare cause of abdominal pain. It is clinically similar to common causes of acute surgical abdomen and is often diagnosed during surgery. Inguinal hernia is a common condition but not frequently related with torsion of the omentum. CASE PRESENTATION: A 40-year-old Caucasian man came to our emergency department with abdominal pain of the left quadrant and abdominal distension for 2 days. His medical history included an untreated left inguinal hernia in the last year. Computed tomography revealed densification of mesocolon with left omentum "whirl" component and other signs of omental torsion. During an exploratory laparoscopy, a wide twist of his omentum with necrotic alterations that extended to the bilateral inguinal hernial content was observed. Omentectomy and surgical repair of bilateral inguinal hernia were performed. CONCLUSIONS: Torsion of the omentum is a rare entity and usually presents a diagnostic challenge. The use of abdominal computed tomography can help diagnosing torsion of the omentum preoperatively and, thus, prevents a surgical approach. Nonetheless, some cases of torsion of the omentum require surgical repair. Accordingly, a laparoscopic approach is minimally invasive and efficient in performing omentectomy.(undefined

Ensemble stacking classifier model for prediction of diabetes

Diabetes, being a chronic condition, possesses the capacity to instigate a global healthcare catastrophe. This condition can be managed and potentially cured with prompt diagnosis and treatment. Integrating machine learning technology with medical science enables precise prognosis of an individual’s susceptibility to diabetes. The proposed work presents the ensemble stacking classifier model. This efficient and effective diabetes prediction model predicts a patient’s diabetes risk by combining the output of multiple machine-learning techniques into a single model. The performance parameters of four distinct machine learning classification algorithms K-nearest neighbors (KNN), random forest (RF), support vector machine (SVM), and decision tree (DT) are compared in this study with those of the proposed stacked classifier model. The suggested model is developed using ensemble methods, where the previously discussed algorithms are integrated to create the base classifier layer of the stack classifier. The meta-classifier is implemented in the form of the logistic regression (LR) algorithm. Upon evaluating the performance of both the developed model and its algorithms, it is proved that the proposed model attains a testing accuracy of 88.5%, surpassing the accuracy of all baseline classification algorithms. As a result, this work determines that the ensemble stacking classifier model exhibits higher prediction accuracy than the base classifier algorithms. This finding underscores the model’s potential as a viable instrument for predicting diabetes in individuals