Quantum many-core processors are envisioned as the ultimate solution for the scalability of quantum computers. Based upon Noisy Intermediate-Scale Quantum (NISQ) chips interconnected in a sort of quantum intranet, they enable large algorithms to be executed on current and close future technology. In order to optimize such architectures, it is crucial to develop tools that allow specific design space explorations. To this aim, in this paper we present a technique to perform a spatio-temporal characterization of quantum circuits running in multi-chip quantum computers. Specifically, we focus on the analysis of the qubit traffic resulting from operations that involve qubits residing in different cores, and hence quantum communication across chips, while also giving importance to the amount of intra-core operations that occur in between those communications. Using specific multi-core performance metrics and a complete set of benchmarks, our analysis showcases the opportunities that the proposed approach may provide to guide the design of multi-core quantum computers and their interconnects.

Thoroughly validated instruments can provide a more accurate and reliable picture of how the instrument works and of the level of health literacy in people with type 2 diabetes mellitus (T2DM). The present work aimed at cross-cultural adaptation and validation of the Functional, Communicative and Critical Health Literacy Instrument (FCCHL) in patients with T2DM in Serbia. After translation and back-translation, views from an expert group, one cognitive interview study (n = 10) and one survey study (n = 130) were conducted among samples of diabetic patients. Item analysis, internal consistency, content validity, confirmatory factor analysis (CFA) and reliability testing were performed. When all 14 items were analyzed, loading factors were above 0.55, but without adequate model fit. After removing two items with the lowest loadings FHL1 and IHL2 the fit indexes indicated a reasonable normed χ2 (SB scaled χ2/df = 1.90). CFI was 0.916 with SRMR = 0.0676 and RMSEA = 0.0831. To determine internal consistency, Cronbach’s alpha coefficient was 0.796 for the whole FCCHL-SR12. With only minor modifications compared to the English version, the 12-item FCCHL instrument is valid and reliable and can be used to measure health literacy among Serbian diabetic patients. However, future research on a larger population in Serbia is necessary for measuring the levels of HL and their relationship with other determinants in this country.

Due to their remarkable magnetic properties, such as a high maximum energy product, high remanence, and high coercivity, NdFeB magnets are used in a variety of technological applications. Because of their very limited recycling, high numbers of spent NdFeB magnets are widely available in the market. In addition to China’s monopoly on the supply of most rare earth elements, there is a need for the recovery of these critical metals, as their high import price poses an economic and environmental challenge for manufacturers. This paper proposes a pyrometallurgical recycling method for end-of-life NdFeB magnets by oxidizing them in air as first required step. The main goal of this method is to oxidize rare earth elements from NdFeB magnets in order to prepare them for the carbothermic reduction. The experimental conditions, such as the oxidation temperature and time, were studied in order to establish the phase transformation during oxidation using the Factsage Database and experimental conditions. Our thermogravimetric analysis TGA analysis revealed an increased sample mass by 35% between room temperature and 1100 °C, which is very close to the total calculated theoretical value of oxygen (36.8% for all elements, and only 3.6% for rare earth elements REE), confirming the complete oxidation of the material. The obtained quantitative analysis of the oxidation product, in (%), demonstrated values of 53.41 Fe2O3, 10.37 Fe3O4; 16.45 NdFeO3; 0.45 Nd2O3, 1.28 Dy2O3, 1.07 Pr2O3, and 5.22 α-Fe.

The designing process of an IoT (Internet of Things) network requires adequate knowledge of various communication technologies that make the connection of the IoT modules possible. Many important factors such as scalability, bandwidth, data rate (speed), coverage, power consumption, and security support need to be considered to answer the needs of an IoT application with regards to the implemented radio communication technology. This paper studies the choices of three major LPWAN (Low-Power Wide-Area Networks) technologies that are currently leading in the market of radio communication technologies. Focusing on Sigfox, LoRaWAN (Low-Range Wide-Area Networks), and NB-IoT (Narrow-Band Internet of Things), this work intends to give the respective pros and cons of the mentioned technologies and a clear view of the recent trends and effective choices of radio communication technologies for major smart IoT applications.

Introduction: Musculoskeletal disorders (MSDs) imply damage to muscular or skeletal systems, which usually develop due to strenuous, repetitive activity, or an inflammation process. The therapy with capacitive and resistive electronic transfer (CRet) and high-intensity laser therapy (HILT) have mainly been applied for pain relief in these conditions. This paper aims to provide an overview of the efficient results of CRet therapy and HILT in managing pain associated with musculoskeletal disorders found in the available literature. Methods: Articles related to musculoskeletal disorders were searched through electronic databases, such as PubMed, Web of Knowledge, Lilacs, Cochrane, Research Gate, and available website search tools. After excluding records that are not clinical trials and studies (such as review articles, patient information, and Ph.D. papers) and articles which did not deal with pain in musculoskeletal disorders, 61 articles met our criteria and were included in the overview. Results: By reviewing the selected articles related to CRet therapy and HILT effects on pain in musculoskeletal disorders, it was found that both therapies have a favorable effect on pain reduction. Conclusion: The selected papers showed that both therapies are powerful tools for pain reduction. Although there are no specific protocols, including the number and frequency of therapies applied and other parameters, in both therapy modalities, pain alleviation occurs during or immediately after a therapy cycle application.

Introduction: Bilateral ectopic pregnancy is a very rare condition which occurs in 1/725 - 1/1580 ectopic pregnancies, most commonly after induced assisted reproductive techniques. Aim: To present the case of spontaneous bilateral tubal pregnancy, and the problem of insufficiency of available diagnostic methods, which causes that an accurate diagnosis can mostly be made intraoperatively. Case Report: A 37-year-old female, nulliparous, comes at the Clinic of Gynecology and Obstetrics of CCUS, complains of intense suprapubic pain, and difficulty urinating. The expected menstruation was absent for more than 2 weeks. The Grav index test was positive. Beta hCG values were 6312 IU/L. On examination, the patient was extremely pale, hypotensive, gave the impression of hemorrhagic shock, and the abdomen was diffusely palpably painful. After emergency TV ultrasound, then ultrasound and CT of the abdomen and small pelvis, which indicate a moderate amount of thicker fluid in the abdomen and small pelvis in terms of hemoperitoneum and with the left contour of the uterus an oval zone most likely to correspond to ectopic pregnancy, an indication for emergency surgery was made. A laparotomy was performed, and partly liquid and partly coagulated blood was found in the abdomen. The left tube in the isthmic part was ruptured with active bleeding. Right Fallopian tube was pathologically changed, livid, with visible suspicious pregnancy in the ampullary part. Bilateral salpingectomy was performed, and samples are sent for PHD analysis that shows the presence of chorionic villi in both tubes. Conclusion: When ectopic pregnancy is suspected, the possibility of bilateral tubal pregnancy should always be kept in mind, especially in cases accompanied by acute pelvic pain with signs of hemorrhagic shock

Standalone hybrid systems based on renewable energy sources may represent a convenient and cost effective option for powering isolated consumers located far from the existing grid. In this study the focus is on particular photovoltaic-wind-diesel-battery systems which supply mobile telephony base stations. In the study, both the consumption of telecommunication electronic equipment and the consumption of cooling devices are taken into account. Nine characteristic locations across Europe with different climatic conditions were selected for comparative techno-economic assessment. For each location, a comprehensive simulation and optimization routine was performed, in order to find the optimal system configuration and the minimum amount of total annualized costs. The obtained results are discussed and some conclusions regarding system sizing at different locations are drawn.

Globalization in the field of industry is fostering the need for cognitive production systems. To implement modern concepts that enable tools and systems for such a cognitive production system, several challenges on the shop floor level must first be resolved. This paper discusses the implementation of selected cognitive technologies on a real industrial case-study of a construction machine manufacturer. The partner company works on the concept of mass customization but utilizes manual labour for the high-variety assembly stations or lines. Sensing and guidance devices are used to provide information to the worker and also retrieve and monitor the working, with respecting data privacy policies. Next, a specified process of data contextualization, visual analytics, and causal discovery is used to extract useful information from the retrieved data via sensors. Communications and safety systems are explained further to complete the loop of implementation of cognitive entities on a manual assembly line. This deepened involvement of cognitive technologies are human-centered, rather than automated systems. The explained cognitive technologies enhance human interaction with the processes and ease the production methods. These concepts form a quintessential vision for an effective assembly line. This paper revolutionizes the existing industry 4.0 with an even-intensified human–machine interaction and moving towards cognitivity.

Positive practice environments (PPEs) support the recruitment and retention of employees, enable the delivery of high-quality work outcomes, and benefit society as a whole. It is necessary to provide equal rights, obligations, equal treatment, and opportunities for all genders according to their needs to achieve gender equity and PPEs in workplaces. FIP developed the FIPWiSE (the FIP women in science and education initiative) toolkit for positive practice environments for women in science and education to support and enable them by building on the World Health Professional Alliances (WHPA) PPE campaign. FIP is a founding member of the WHPA and used the toolkit as a basis to describe and identify factors that enable PPEs from a pharmaceutical science and pharmacy education perspective. The toolkit provides a set of possible solutions related to women in science and education for individuals, employers, institutions, and policymakers, as well as real-life examples, perspectives, and good practice implementations and suggestions from women from all around the world.

Milk is a product of the mammary gland obtained by proper and regular milking of healthy, properly fed cows, sheep, goats, without adding or taking anything away.This paper describes modern methods used for milk analysis and their working principle. 30 samples of raw milk were collectedas follows: 10 samples of cow, 10 samples of goat and 10 samples of sheep raw milk.The obtained results of raw milk quality parameters were processed, analyzed and compared with the maximum permissible concentrations prescribed by the Ordinance on raw milk.The work was written by the method of prospective study (experimental research). Milk testing was conducted during the period from 1 March 2020 to May 1, 2020.Samples were collected from primary producers of raw milk from the territory of Canton 10 in the manner prescribed by the Regulation on the method of sampling milk. They were transported and analysed in the Laboratory for Quality and Microbiology of Raw Milk - Department of Food and Veterinary Medicine of Canton 10.During this period, tests of raw milk were performed on the MilkoScan 7 device , a milk analyzer that works on the principle of close infrared spectroscopy with Fourier transform.

Despite the fact that technology is improving day by day and that the medical devices (MDs) are being constantly upgraded, their malfunction is not a rare occurrence. The aim of this research is to develop an expert system that can predict whether the device will satisfy functional and safety requirements during a regular inspection. This expert system can be seen as part of Industry 4.0 that is revolutionizing medical device management. In order to develop the system, five machine learning algorithms that are representative of each classifier group, were used: (1) Random Forest, (2) Decision Tree, (3) Support Vector Machine, (4) Naive Bayes, (5) k-Nearest Neighbour. The Decision Tree outperformed other classifiers achieving the classification accuracy of 100% with and without attribute selection applied on the dataset. This study showed that machine learning algorithms can be used in order to predict MDs performance and potential failures in order to make the process of maintenance of medical devices more convenient and sophisticated and it is one step in modernizing medical device management systems by utilizing artificial intelligence.

Glucocorticoids prevent or suppress the full inflammatory response to the infectious, immunological or physical agents by inhibiting early inflammatory events such as edema or cell exudation. The main effect of glucocorticoids on the inflammatory process is the inhibition or recruitment of neutrophils and monocytes. In this study, the effect of the glucocorticoid betamethasone on the hematological parameters of rats of the species Rattus norvegicus Berkenhout 1769 was examined in vivo. Betamethasone has been shown to affect the values of hematological parameters four hours after application and leads to a significant decrease in the prevalence of lymphocytes and monocytes, but also leads to a statistically significant increase in erythrocyte count, hemoglobin concentration and hematocrit values.

Simple Summary Penalties in judo (shido) have been previously associated with match outcomes and increased the likelihood of being defeated, particularly in heavier weight categories. Each 1-min increase in match duration and further athlete proceeds in competition increases the possibility of receiving a penalty. Penalties have also been associated with the occurrence of injuries, especially with grip fighting and other illegal moves and therefore, have a substantial effect on athletes’ health. The main findings highlighted that the leading penalties in all weight categories for both genders on Judo World Championships (WC) were Non-combativity, Avoid Grip and False Attack. Additionally, a new trend in heavyweight athletes with a lower number of penalties is noted. Abstract Background: This research aimed to compare individual penalties by gender and weight categories in judo from the Judo World Championships (WC): Budapest—2017, Baku—2018, Tokyo—2019 and Budapest—2021 in all individual weight categories for females and males. Methods: Data were collected by notational analysis of 2041 penalty videos for females and 3473 penalty videos for males (total n = 5514). All individual penalties—Shido 1, 2, 3 and Hansoku Make (direct disqualification) were analysed by the Pearson chi-square test at the level of statistical significance of 5%. Results: Significant differences were noted in the assigned individual penalties between individual categories (p < 0.001) in both genders. The significant difference was contributed mainly by the weight category +78 kg with penalties Non-combativity (5.3) and Avoid Grip (−3.4) in females, while in males it impacted by the +100 kg weight category and the Non-combativity (4.2) and Avoid Grip (−4.0) penalties. For females, the most dominant individual penalties were Non-combativity (41.6%), Avoid Grip (16.2%) and False Attack (15.0%), and were Non-combativity (40.3%), Avoid Grip (19.5%) and False Attack (16.4%) for males. The largest number of penalties in females were in −52 kg (16.7%), −57 kg (15.9%) and +78 kg (15.2%) categories, while in males, they were −66 kg (17.2%), −73 kg (16.1%) and −90 kg (15.6%). Conclusions: The findings of this study highlight the leading penalties in all weight categories for both genders on WC to be Non-combativity, Avoid Grip and False Attack. Additionally, a new trend in heavyweight athletes with a lower number of penalties is noted. The obtained results indicate the need to pay more attention to working with competitors of all ages and genders on education to implement tactical variants, forms and means to use penalties to athletes’ advantage, especially after a possible rule change and to lower the occurrence of injuries.