The process of deep sheet metal drawing is accepted in all industrial branches. This process is, therefore, very important to maintain a certain level of quality. For this reason, measurements and tests must be carried out to determine how much sheet metal deformation occurred after the deep drawing process. For this purpose, an experiment of deep drawing of sheet metal was carried out using the example of kitchen utensils. In addition, the Taguchi method was used in this experiment to test the quality of the obtained kitchenware. In the experiment, three factors were taken with three alternatives that affect the deep drawing of sheet metal, and 27 experiments were used for the Taguchi method. The results of this experiment showed that the best results were achieved by the smallest drawing depth of 65 mm and the worst results were obtained by the drawing thickness of 70 mm. Regarding the thickness of the material, the best results were achieved by the material of 21 mm, and the material of 15 mm achieved the worst results. In addition, an analysis of variance was carried out, which determined the relationship between force and deformation of the material.
Large language models (LLMs) have demon-001 strated powerful capabilities in natural lan-002 guage processing, yet their vast number of pa-003 rameters poses challenges for deployment and 004 inference efficiency. Structured model pruning 005 emerges as a viable approach to reduce model 006 size and accelerate inference, without requir-007 ing specialized operators and libraries for de-008 ployment. However, structured pruning often 009 severely weakens the model’s capability. De-010 spite repetitive fine-tuning can restore the capa-011 bility to a certain extent, it impairs LLMs’ util-012 ity as versatile problem solvers. To address this 013 issue, we propose a novel structured pruning 014 algorithm tailored for LLMs. It derives the im-015 portance of different components, namely rows 016 and columns in parameter matrices, based on in-017 termediate data dependencies. Then it removes 018 coupled components across different layers si-019 multaneously and preserves dependency rela-020 tionships within remaining parameters, avoid-021 ing significant performance degradation. The 022 pruned model requires only few epochs of fine-023 tuning to restore its performance, ensuring the 024 model’s ability to generalize. Empirical eval-025 uations on LLaMA, Vicuna, and ChatGLM3 026 demonstrate our algorithm’s efficacy, yielding 027 20% parameter reduction while retaining at 028 least 94.4% of original performance metrics. 029
: Integrating inverter-based resources into power systems increases their complexity, and makes their operation more challenging. The conventional approach for simulating power systems neglects transients of the power grid, using steady-state phasors and considering only fundamental frequency values. However, to accurately predict the dynamic behavior of systems with high shares of inverter based resources, electromagnetic transient simulations (EMTSs) are necessary. The primary limitation of classical time-domain EMTSs is their frequent time-consuming nature, making them impractical for larger systems. In this work, we explore the use of dynamic phasors (DPs) as a technique to accelerate EMTSs. For this purpose, we first adapt the power grid and inverter model to DP simulation. Subsequently, we assess the effectiveness of this approach through three numerical examples, demonstrating a reduction in the simulation times by a factor of 4 to 40.
The paper examines the possibilities of applying solar cooling in B&H, since the potential of solar energy is great. The goal is to reduce primary energy consumption, as well as to reduce emissions of harmful gases, primarily CO2. The feasibility of a single-stage H2O/LiBr absorption cooling device powered by heat from solar collectors for a building in Tuzla was investigated, as well as a comparison with the existing compression cooling device. A solar cooling system was selected for the calculated heat load values. A mathematical model for the absorption single-stage cooling cycle has been developed that includes mass and energy balance equations as well as heat exchange equations. The absorption system is designed for the maximum cooling load of the specified facility.
Background: RV dysfunction has been recognized as a powerful independent predictor of poor prognosis. Therefore, accurate evaluation of RV function is helpful for risk stratification in patients with HF, so as to guide clinicians to choose the best treatment and improve the prognosis of patients. Therefore, assessment of RV function is clinically important in almost all patients with heart disease. Objective: The main purpose of this study was to evaluate the prognostic value of right ventricular free wall longitudinal strain in patients with heart failure with reduced ejection fraction (HFrEF). Methods: We evaluated a prospective cohort of 126 patients with known or suspected HFrEF referred for echocardiographic evaluation. All underwent measurement of RV free-wall longitudinal strain (RVFWLS) by 2D transthoracic echocardiography. The primary study endpoint was the occurrence of death for any cause or hospitalization for heart failure. Results: From 126 eligible patients with chronic heart failure, 10 (8%) with RVFWLS not suitable for strain analysis were excluded, leaving a final study population of 116 patients. During the follow-up period of 24 months, 44 patients (38%) reached the composite end point: 18 patients died (15%), and 26 patients (22%) were hospitalized for worsening HF. Compared with patients without events, patients who reached the composite end point were older and prevalently men (P <0.05). Patients with events also showed higher LV volumes, lower LVEF%, increased left atrial volume index (LAVI), increased pulmonary artery systolic pressure, and higher prevalence of severe MR and TR than event-free patients. Diastolic RV diameter was also significantly greater in this group. In this study, we found that a RVFWLS less negative of -19.3% was associated to outcomes with 75% sensitivity and 67% specificity P < 0.001. A value of RVFWLS less than -19.3% was strongly associated to outcome with HR 1.9, 95% CI 1.487–2.7; P < 0.001. Conclusion: RV free wall longitudinal strain seems to be more sensitive and accurate for the diagnosis of RV systolic dysfunction in patients with HFrEF, therefore assessment of RV function should be implemented by analysis of RVFWLS in patients with HFrEF, to improve identification of patients who are at high risk for adverse events.
Atherosclerotic diseases are among the leading causes of mortality in the world and in our country. In the last few decades, there has been a dramatic increase in the prevalence of the disease. Interest in risk factors for atherosclerotic disease began at the beginning of the last century when hyperglycemia, hypertension and hyperuricemia were first emphasized. In later research, the World Health Organization introduced the term metabolic syndrome (MSy). In 2001, the Expert Group for the Detection, Evaluation and Treatment of High Cholesterol in Adults (ATP III) provided a new definition of MSy that is considered the most widely used in clinical practice, where the presence of MSy is determined by the presence of three of the following five risk factors: abdominal obesity, hypertension, hypertriglyceridemia, decreased HDL level and hyperglycemia. This definition has undergone a whole series of corrections, of which the definition of the International Diabetes Federation (IDF) should be singled out, which tightened the criteria for abdominal obesity, which became a mandatory risk factor and hyperglycemia. It is estimated that the frequency of MSy in the older population over 20 years is over 30%, and in the patients with atherosclerotic disease over 55%. In addition, healthy habits can also contribute to the risk of developing atherosclerotic diseases, primarily physical inactivity, alcohol consumption, smoking and dietary habits. Early recognition and detection of risk factors for atherosclerosis is the most important way to prevent the disease and its complications.
The acute and chronic effects of dehydration on athletes' health are well known, but it is less known about the relationship between dehydration and sports performance. There is an overall consensus in the literature that dehydration ≥ 2% body mass represents a threshold at which endurance, as aerobic performance, becomes impaired. Dehydration degrades aerobic performance by various mechanisms, such as a decrease in VO2 max, a decrease in circulatory volume and consequent decrease in cardiac stroke volume. At higher levels of dehydration, there is an increase in heart rate, body temperature, carbohydrate oxidation and muscle glycogenolysis. The effect of dehydration on anaerobic sports performance, such as muscle strength and power, is less known. The high osmotic stress that usually accompanies high levels of intracellular dehydration can modulate the permeability of the blood-brain barrier, alter the neuronal firing of osmoreceptor cells in the hypothalamus, and potentially affect the excitability of motor output pathways. Studies have shown that acute dehydration impairs muscle strength and endurance and increases the perception of fatigue but without changes in markers of central and peripheral neuromuscular function. In addition to the physical, dehydration also affects the mental performance of athletes. Symptoms of dehydration (dry mouth, thirst, headache, fatigue) affect the athletes' cognitive functions and their cognitive resilience. Therefore, personalized rehydration strategies play a key role in athletes' safety during sporting activities, as well as in optimizing sports performance. In this paper, the role of dehydration on physical and mental athletes' performance will be reviewed, as well as the latest recommendations for adequate rehydration.
Introduction/Objective. Diabetic retinopathy, peripheral vascular disease, and other diabetic complications may lead to a lowering of quality of life, significant comorbidity and mortality. The aim of the study was to analyze the risk factors of peripheral occlusive arterial disease in patients suffering from diabetic retinopathy due to type 2 diabetes. Methods. We analyzed 63 patients having diabetic retinopathy (33 patients without and 30 patients with peripheral occlusive arterial disease). All the patients were asked for demographic data, medical history, physical findings, laboratory and vascular status. Results. Patients having confirmed peripheral occlusive arterial disease suffered from diabetes significantly longer (32.67 vs. 9.71 years, t = 12.834, p < 0.001), were more often smokers (23:13, ?2 = 8.92, p < 0.05), had ischemic heart disease significantly more frequently (24:10, ?2 = 15.643, p < 0.001), used statins more frequently (21:14; ?2 = 4.84, p < 0.05), had claudications (25:4, ?2 = 32,075, p < 0.001), depilations (30:9, ?2 = 35,240, p < 0.001), thinned atrophic foot skin (30:12, ?2 = 28.64, p < 0.01), foot ulcers (10:1, ?2 = 10.013, p < 0.01), significantly higher HbA1c values (9.31:7.17, t = 5.250, p < 0.001), as well as glycemic control (11.60:8.20, t = 4.913, p < 0.001). Conclusion. It has been shown that the duration of type 2 diabetes, smoking, poor regulation of blood glucose levels and HbA1c significantly contributes to the development of diabetic retinopathy in patients having peripheral artery occlusion.
Nema pronađenih rezultata, molimo da izmjenite uslove pretrage i pokušate ponovo!
Ova stranica koristi kolačiće da bi vam pružila najbolje iskustvo
Saznaj više