OPTIMAL AREA AND PERFORMANCE MAPPING OF K-LUT BASED FPGAS

FPGA circuits are increasingly used in many fields: for rapid prototyping of new products (including fast ASIC implementation), for logic emulation, for producing a small number of a device, or if a device should be reconfigurable in use (reconfigurable computing). Determining if an arbitrary, given wide, function can be implemented by a programmable logic block, unfortunately, it is generally, a very difficult problem. This problem is called the Boolean matching problem. This paper introduces a new implemented algorithm able to map, both for area and performance, combinational networks using k-LUT based FPGAs.k-LUT based FPGAs, combinational circuits, performance-driven mapping.

OPTIMIZING LARGE COMBINATIONAL NETWORKS FOR K-LUT BASED FPGA MAPPING

Optimizing by partitioning is a central problem in VLSI design automation, addressing circuit’s manufacturability. Circuit partitioning has multiple applications in VLSI design. One of the most common is that of dividing combinational circuits (usually large ones) that will not fit on a single package among a number of packages. Partitioning is of practical importance for k-LUT based FPGA circuit implementation. In this work is presented multilevel a multi-resource partitioning algorithm for partitioning large combinational circuits in order to efficiently use existing and commercially available FPGAs packagestwo-way partitioning, multi-way partitioning, recursive partitioning, flat partitioning, critical path, cutting cones, bottom-up clusters, top-down min-cut

A new approach to balance dental fear and anxiety by using BachTM Flower Therapy

Treatments in dentistry currently consist of an interdisciplinary approach, including (but not necessarily limited to) the holistic perspective. The different fields of allopathic and complementary medicine are used together to ensure not only a high-quality restorative treatment, but also to provide patients with psychological and emotional support. This perspective also applies to dental anxiety, which consists of complex (emotional, vegetative and psychomotor) manifestations. One of the most well-known complementary therapies for reducing dental fear and anxiety is BachTM Flower Therapy. Even if the mechanism of action of this therapy is not yet scientifically documented, notable results have been and continue to be reported in the literature in several clinical studies on patients with dental diseases. It is indicated for both adults and children, in the latter when they go through major biological changes, such as primary and permanent dentition. As a conclusion, BachTM flower therapy is effective and complementary to dental treatments applied to patients, by reducing stress, anxiety, as well as creating a climate of peace, trust and confidence, both for the patient and the doctor. In addition, it is a relatively accessible and cheap form of care, with no significant adverse effects noted so far

PREVALENCE OF ORAL LESIONS MODULATED BY PATIENT’S AGE: THE YOUNG VERSUS THE ELDERLY

The aim of this study was to compare the prevalence of oral lesions and conditions in young and elderly population. The authors analyzed a number of 1324 patiens, treated in our clinic, between 2011-2017, divided into 4 subgroups. Prevalence of one or several oral lesions was of 51,29% patients. We identified a wide range of oral heterogeneous lesions, the first place being held by burning mouth syndrome and chronic candidiasis in the elderly, and by aphtous stomatitis and acute candidiasis in the young. The results of our study may provide important information on the types and incidence of oral mucosal lesions in the northern region of Romania and seems to be similar to the level predicted for young and elderly patients in our country

Diabetic patients and postoperative complications in colorectal surgery

Diabetes mellitus is one of the most common comorbidities of patients undergoing surgery. Colorectal surgery is frequently associated with postoperative complications, and diabetic patients represent a population that presents a high risk of developing such complications. Understanding the interrelationships between neoplastic disease and diabetes, as well as the pathophysiological mechanisms underlying postoperative complications, are essential for effective therapeutic management. Genetic predispositions, alterations in the gut microbiota, inflammatory response, ischemic, thrombotic and infectious processes contribute significantly to the development of severe surgical complications, such as anastomotic fistulas. Postoperative ileus, characterized by gastrointestinal dysmotility, is common in diabetic patients due to neuropathic dysfunction and altered intestinal metabolism. In addition, diabetic patients are at increased risk of intestinal ischemia, requiring specific perioperative care. The strategies to avoid these complications assume an adequate surgical technique, a personalized anesthesia management, and last but not least, the best possible glycemic control. This article highlights the importance of a better understanding of the interaction between diabetes and postoperative complications, in order to obtain good results with an important impact on the patient\u27s health and well-being. This article highlights the importance of a better understanding of the interplay between diabetes and postoperative complications informs targeted interventions aimed at reducing morbidity and improving patient well-being

Correlation between periodontal status and Parkinson's disease; a literature review

This systematic review aims to explore the relationship between chronic inflammation of periodontal disease and neurodegenerative disorders (especially Parkinson's disease), focusing primarily on pathophysiological, clinical and immunological aspects. An exhaustive search on this topic was performed in several databases (including PubMed, Scopus and Web of Science) selecting articles published between 2006 and 2023. After reviewing the titles, abstracts and protocols of each study, 13 articles were extracted for detailed assessment. The main indicators in the study included clinical signs of gingival inflammation, bleeding on probing (BoP), bone loss (BL), periodontal probing depth (PPD), and clinical attachment loss (CAL). Additionally, levels of inflammatory markers such as epidermal growth factor (EGF), interleukin-8 (IL-8), interleukin-17 (IL-17), interferon γ-induced protein 10 (IP-10), and monocyte chemoattractant protein-1 (MCP-1) were monitored. The investigation also explored the presence of one of the main periodontal pathogens (Porphyromonas gingivalis) in the microbiota of Parkinson's disease patients. In conclusion, the data presented further support the intricated relationship between periodontal health and neurodegenerative processes, including aspects related to changes in clinical periodontal indices, immunological indices, as well as oral hygiene and patient medication

Prototype isochoric preservation device for large organs

This paper presents the design and prototype of a constant volume (isochoric) vessel that can be used for the preservation of large organs in a supercooled state. This prototype is a preliminary version of a more advanced design. The device consists of a cooling bath operated by a mechanical vapor compression refrigeration unit and an isochoric chamber made of stainless steel. The preservation of organs using supercooling technology in an isochoric chamber requires a continuous temperature and pressure monitoring. While the device was initially designed for pig liver experiments, its innovative design and preservation capabilities suggest potential applications for preserving other organs as well. The isochoric reactor may be used to accommodate a variety of organ types, opening the door for further research into its multi-organ preservation capabilities. All the design details are presented in this study with the purpose of encouraging researchers in the field to build their own devices, and by this to improve the design. We chose to design the device for isochoric supercooling as the method of preservation to avoid the ice formation

Dimensional Accuracy in 4D-Printed PLA Objects with Holes: Experimental and Numerical Investigations

This study investigates the impact of material and process parameters—specifically, filament color, infill density, and pattern—on the dimensional accuracy of 4D-printed polylactic acid (PLA) objects featuring holes of varying diameters (6, 8, and 10 mm) that undergo a heat-induced recovery process. The objective was to understand how these factors affect shape retention and the dimensional accuracy of holes through a comparative analysis of the diameters before and after recovery. Increased variability in the hole diameters was noted after recovery, regardless of the values of the independent variables. The objects did not fully return to their original planar shape, and the holes did not completely return to their circular form, resulting in smaller diameters for each sample. No significant differences in the hole diameters could be determined. Additionally, there was no consistent trend in identifying the most influential parameter affecting the accuracy of the recovered holes. However, it was observed that higher infill densities improved shape retention. A quasi-static finite elements analysis model was developed to capture the mechanical behavior of the 4D-printed parts. This model incorporated temperature-dependent material characteristics to predict the strain occurring near the holes. Nodal displacements were defined according to the deformed shape. A correlation was established between the observed strains and the post-recovery dimensional accuracy of the specimens. The importance of this work was demonstrated through a case study involving a two-sieve filtering device for small objects

The Development of an Energy Efficient Temperature Controller for Residential Use and Its Generalization Based on LSTM

Thermostats operate alongside intelligent home automation systems for ensuring both the comfort of the occupants as well as the responsible use of energy. The effectiveness of such solutions relies on the ability of the adopted control methodology to respond to changes in the surrounding environment. In this regard, process disturbances such as severe wind or fluctuating ambient temperatures must be taken into account. The present paper proposes a new approach for estimating the heat transfer of residential buildings by employing a lumped parameter thermal analysis model. Various control strategies are adopted and tuned into a virtual environment. The knowledge gained is generalized by means of a long short-term memory (LSTM) neural network. Laboratory scale experiments are provided to prove the given concepts. The results achieved highlight the efficiency of the implemented temperature controller in terms of overshoot and energy consumption