Metastatic melanoma evolution was illustrated through research autopsy and extensive multiomic profiling and revealed the diverse routes to treatment resistance, including extensive copy-number alterations, mutations in key drivers, and extrachromosomal DNA.

Background and Objectives: Gaucher disease (GD) is a lysosomal storage disorder with the genetic autosomal recessive transmission. Bone involvement is a prevalent finding in Gaucher disease. It causes deformity and limits daily activities and the quality of life. In 75% of patients, there is bone involvement. This review aims to evaluate the principal findings in the jaw by a Cone-beam computed tomography (CBTC) and X-ray orthopantomography; Materials and Methods: PubMed, Web of Science, Lilacs and Scopus were systematically searched until 31 December 2022. In addition, a manual search was performed using the bibliography of selected articles and a Google Scholar search. Clinical studies were selected that considered principal radiographic findings in radiography in a group of patients affected by GD. Results: Out of 5079 papers, four studies were included. The main findings are generalized rarefaction and enlarged narrow space, anodontia. Conclusions: The exact mechanism of bone manifestation is probably due to the infiltration of Gaucher cells in the bone marrow and, consequently, the destruction of bone architecture. All long bones are a potential means of skeletal manifestation. The jaw is more affected than the maxilla, and the principal features are cortical thinning, osteosclerosis, pseudocystic lesions, mental demineralization, flattening in the head of the condyle, effacement of anatomical structures, thickening of maxillary sinus mucosa. The dentist plays a crucial role in diagnosing and treating these patients. Sometimes the diagnosis can be made by a simple panoramic radiograph. All long bones are affected, and the mandible is particularly involved.

Current monolithic quantum computer architectures have limited scalability. One promising approach for scaling them up is to use a modular or multi-core architecture, in which different quantum processors (cores) are connected via quantum and classical links. This new architectural design poses new challenges such as the expensive inter-core communication. To reduce these movements when executing a quantum algorithm, an efficient mapping technique is required. In this paper, a detailed critical discussion of the quantum circuit mapping problem for multi-core quantum computing architectures is provided. In addition, we further explore the performance of a mapping method, which is formulated as a partitioning over time graph problem, by performing an architectural scalability analysis.

This study aimed to investigate the effect of four green extraction techniques (ultrasound-assisted extraction, UAE; supercritical fluid extraction, SFE; subcritical water extraction, SWE; and extraction using deep eutectic solvents, DES) on the extraction of targeted flavonoids from edible feijoa flowers. The bioactive components in the obtained extracts were quantified by High-Performance Liquid Chromatography—Photodiode Array Detector (HPLC-PDA). Moreover, total polyphenol content and antioxidant activity by DPPH•, ABTS•+, FRAP, and CUPRAC assays were investigated. UAE generally gave the highest yields for isoquercitrin and quercetin content (18.36–25.33 and 10.86–16.13 µg/g), while DES extraction with choline chloride:lactic acid (1:2) and H2O content of 50% gave the highest yield of chrysanthemin (90.81 µg/g). The highest yield of flavone (12.69 mg/g) was obtained with supercritical CO2 at 300 bar. Finally, UAE gave the highest total polyphenol content (ca. 64 mg GAE/g) and antioxidant activity at 70 °C during 30 min with 40% (0.84 mmol TEAC/g and 2.25 mmol Fe2+/g, for ABTS•+ and CUPRAC, respectively) and 60% ethanol-water solution (0.49 mmol TEAC/g and 2.09 mmol Fe2+/g, for DPPH• and FRAP, respectively). The eco-friendly extraction techniques resulted in selective methods capable of extracting targeted bioactive compounds from edible feijoa flowers.

Intelligent manufacturing is becoming increasingly important due to the growing demand for maximizing productivity and flexibility while minimizing waste and lead times. This work investigates automated secondary robotic food packaging solutions that transfer food products from the conveyor belt into containers. A major problem in these solutions is varying product supply which can cause drastic productivity drops. Conventional rule-based approaches, used to address this issue, are often inadequate, leading to violation of the industry's requirements. Reinforcement learning, on the other hand, has the potential of solving this problem by learning responsive and predictive policy, based on experience. However, it is challenging to utilize it in highly complex control schemes. In this paper, we propose a reinforcement learning framework, designed to optimize the conveyor belt speed while minimizing interference with the rest of the control system. When tested on real-world data, the framework exceeds the performance requirements (99.8% packed products) and maintains quality (100% filled boxes). Compared to the existing solution, our proposed framework improves productivity, has smoother control, and reduces computation time.

In modern cardiology, sodium‐glucose cotransporter 2 (SGLT2) inhibitors are critical components of heart failure (HF) treatment algorithms and exert their effects primarily by preventing glucose reabsorption and facilitating its urinary excretion. The objective was to systematically review randomized controlled trials (RCTs) assessing the effects of SGLT2 inhibitors, particularly canagliflozin, empagliflozin, dapagliflozin, ertugliflozin, sotagliflozin (dual SGLT inhibitor), and their use in HF. Systematic searches of PubMed/Medline, The Cochrane Central Register of Controlled Trials (CENTRAL), and ClinicalTrials.gov databases were performed. There were no restrictions imposed on the date and status of publication; however, there were restrictions on language for the searched studies. A total of 1139 records were identified in the bibliographic searches from both databases and the register of choice for this systematic review. Following duplicate removal, screening for titles and abstracts, and thorough assessment of full‐text articles, 12 RCTs met the inclusion criteria. Altogether, 83 878 patients were included in this review. Among the included studies, two RCTs, with six respective reports, investigated canagliflozin, four RCTs with 13 derived reports investigated dapagliflozin, three RCTs with 12 separate reports studied the effects of empagliflozin, one RCT and its three respective reports assessed ertugliflozin's effects, and two RCTs with one added report investigated the dual inhibitor sotagliflozin. Pooled meta‐analytic effects of SGLT2 inhibitors were as follows: on atrial fibrillation odds ratio (OR) = 0.83, 95% confidence interval (CI): 0.68–1.01, prediction interval (PI): 0.57–1.19; on HF hospitalization OR = 0.69, 95% CI: 0.60–0.78, PI: 0.60–0.78; on cardiovascular death OR = 0.82, 95% CI: 0.58–1.15, PI: 0.42–1.60; and on major adverse cardiovascular events OR = 0.90, 95% CI: 0.77–1.06, PI: 0.71–1.15. SGLT2 inhibitors significantly improve the quality of life in HF patients. Their beneficial effects on HF, especially in left ventricular dysfunction, have made their use possible irrespective of diabetes mellitus or atrial fibrillation status.

This paper investigated the bending moment of chair base joints. The ultimate bending moments (maximum moment), calculated on the base of the measured maximum applied loads (maximum force), were compared for the front leg and rear leg joints of a chair base. The joints had different angles between the stretcher and the leg (joint angle) as well different tenon lengths (30 mm and 32 mm). The results of the tests indicated that for different test specimen configurations but the same tenon-and-mortise geometry, the maximum force of joints with a smaller value of joint angle (front leg joints) was higher than the force values of joints with a larger angle (rear leg joints) for all tenon lengths. However, the results showed less difference among the calculated bending moments of the analysed sets of joints. A significant difference was not revealed between the bending moments of joints with a smaller value of joint angle and the bending moments of joints with a larger angle for all tenon lengths. A significant difference between the bending moments for the tenon length of 30 mm and tenon length of 32 mm was determined for rear leg joints but not for front leg joints. The presented approach of joint strength analysis through the testing of specimens with different shapes and dimensions are applicable to research and practice.

Recent vision architectures and self-supervised training methods enable vision models that are extremely accurate and general, but come with massive parameter and computational costs. In practical settings, such as camera traps, users have limited resources, and may fine-tune a pretrained model on (often limited) data from a small set of specific categories of interest. These users may wish to make use of modern, highly-accurate models, but are often computationally constrained. To address this, we ask: can we quickly compress large generalist models into accurate and efficient specialists? For this, we propose a simple and versatile technique called Few-Shot Task-Aware Compression (TACO). Given a large vision model that is pretrained to be accurate on a broad task, such as classification over ImageNet-22K, TACO produces a smaller model that is accurate on specialized tasks, such as classification across vehicle types or animal species. Crucially, TACO works in few-shot fashion, i.e. only a few task-specific samples are used, and the procedure has low computational overheads. We validate TACO on highly-accurate ResNet, ViT/DeiT, and ConvNeXt models, originally trained on ImageNet, LAION, or iNaturalist, which we specialize and compress to a diverse set of"downstream"subtasks. TACO can reduce the number of non-zero parameters in existing models by up to 20x relative to the original models, leading to inference speedups of up to 3$\times$, while remaining accuracy-competitive with the uncompressed models on the specialized tasks.

In this paper, the elastic behaviour in bending of three-layer plywood cantilever beams is analysed. Deflections of straight and half-circle cantilevers, loaded with a force at free end is determined experimentally and calculated using analytical and finite element method approach. The analytical calculation of deflection for the strait cantilever is obtained using a transformed cross section. The deflection of half-circle cantilever is determined by the classical laminated plate theory and Castigliano’s theorem. Loads and cantilever dimensions are varied in the study using the design of experiment. The deflection regression models for straight and semicircular plywood cantilevers are obtained from the experimental results. Analytically and numerically determined deflections of strait and half-circle cantilevers show very good agreement. Experimentally recorded deflections are approximately 30 % higher than analytical values. Stiffness properties and deflection values are influenced by direction of fibres in the outer layers of a three-layer plywood beam.

: Satureja montana L. (SM) has a long traditional use as a spice and a medicine for various gastrointestinal disorders, including painful spasms and diarrhea. Contrary to conventional drugs, administration of SM and its extracts are considered safe. Previous studies have shown that the essential oils (EOs) of SM from different areas are rich in monoterpenes, sesquiterpenes, diterpens, and phenolic compounds, including flavonoids, tannins, and acids with great composition variability. Determination of composition of EO from Herzegovinian SM done by gas chromatography-flame ionization detection and gas chromatography mass spectrometry (GC-FID and GC/MS, respectively) revealed carvacrol as a primary substance followed by γ -terpinene, p -cymene, and β -caryophyllene. Ex vivo spasmolitic activity caused by EO was evident in different types of isolated rat ileum function with the most potent effect on spontaneous activity followed by electrical field stimulation and KCl-and CaCl 2 -induced activity. SMEO produced in vivo antidiarreal activity on castor oil-induced diarrhea in young rats and showed the potential to cause a decrese water content in the feces of adult Wistar rats.This study indicates that effects of SM on the intestinum could be mediated through combination of Kv channel activation and Ca channel blockade, but additional mechanisms might be involved. The results of this study corroborate the traditional use of SM as antispasmodic, antidiarrheal, and antisecretory agents.

: Quality is a key success factor in the market. For the successful performance of a company, it is very important to have high quality and a quality system, and strive for its development and improvement. In this paper, it has been measured the quality of logistics service using the SERVQUAL model in the TC company as one of the most well-known and most used models in the field of quality measurement. The users of the transport service, the respondents, provided certain information on their expectations, as well as their perceptions of the quality of the transport service from the aspect of all five dimensions: reliability, assurance, empathy, tangibles and responsiveness. The SERVQUAL model was chosen to obtain the final results of the quality of service provided to users. The FUCOM method was applied to obtain the final weights of dimensions. The main goal of this paper is to assess the quality of the transport service in the TC company, so that the company has an insight into its current state