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Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from the network properties of biological neural networks (e.g. sparsity, scale-freeness), we argue that (contrary to general practice) artificial neural networks, too, should not have fully-connected layers. Here we propose sparse evolutionary training of artificial neural networks, an algorithm which evolves an initial sparse topology (Erdős–Rényi random graph) of two consecutive layers of neurons into a scale-free topology, during learning. Our method replaces artificial neural networks fully-connected layers with sparse ones before training, reducing quadratically the number of parameters, with no decrease in accuracy. We demonstrate our claims on restricted Boltzmann machines, multi-layer perceptrons, and convolutional neural networks for unsupervised and supervised learning on 15 datasets. Our approach has the potential to enable artificial neural networks to scale up beyond what is currently possible. Artificial neural networks are artificial intelligence computing methods which are inspired by biological neural networks. Here the authors propose a method to design neural networks as sparse scale-free networks, which leads to a reduction in computational time required for training and inference.

Magnetic materials and magnetic stimulation have gained increasing attention in tissue engineering (TE), particularly for bone and nervous tissue reconstruction. Magnetism is utilized to modulate the cell response to environmental factors and lineage specifications, which involve complex mechanisms of action. Magnetic fields and nanoparticles (MNPs) may trigger focal adhesion changes, which are further translated into the reorganization of the cytoskeleton architecture and have an impact on nuclear morphology and positioning through the activation of mechanotransduction pathways. Mechanical stress induced by magnetic stimuli translates into an elongation of cytoskeleton fibers, the activation of linker in the nucleoskeleton and cytoskeleton (LINC) complex, and nuclear envelope deformation, and finally leads to the mechanical regulation of chromatin conformational changes. As such, the internalization of MNPs with further magnetic stimulation promotes the evolution of stem cells and neurogenic differentiation, triggering significant changes in global gene expression that are mediated by histone deacetylases (e.g., HDAC 5/11), and the upregulation of noncoding RNAs (e.g., miR-106b~25). Additionally, exposure to a magnetic environment had a positive influence on neurodifferentiation through the modulation of calcium channels’ activity and cyclic AMP response element-binding protein (CREB) phosphorylation. This review presents an updated and integrated perspective on the molecular mechanisms that govern the cellular response to magnetic cues, with a special focus on neurogenic differentiation and the possible utility of nervous TE, as well as the limitations of using magnetism for these applications.

Foster care is a preferred alternative to residential care due to the importance of the family environment for the physical, emotional and intellectual development of the child. This enables the development of a sense of security and belonging.The paper presents an analysis of the development process of the maternal assistance network at the level of Constanta County, with emphasis on reducing the number of institutionalized children and ensuring the human resource necessary for the placement of children separated from their birth family, having consequence in optimizing and increasing the quality of services addressed to children.

In distributed systems such as mobile networks, problems like heterogeneity and real-time reliable responses represent constant challenges. Furthermore, reliable identification of the participants in mobile networks is a challenging research problem because of the susceptibility to security attacks. Also, reliable identification of participants means to be able to distinguish between the device and its user. In this paper, a multi-layer mechanism is proposed for reliable identification of devices and their users in mobile networks, based on the smartphone sensor data. The proposed model can uniquely identify both the device and the users by leveraging a mobile application that harvests mobile sensor data in various usage scenarios and analyse different usage patterns. Moreover, in order to achieve data confidentiality, a cryptographic scheme is integrated, based on the public key exchange mechanism. The obtained results show that the model proposed in this paper provides meaningful insights about user behavioral patterns, without special permissions and without disclosing the actual owner identity or biometric data.

In this paper, we explore the robustness and sensitivity of Gd(III)-Gd(III) double electron–electron resonance (DEER) distance measurements in proteins for different spectrometer designs and three spin labels. To do this a protein was labeled at the same two positions with Gd(III) spin labels and measurements were performed on two home-built high-frequency (W-band, ~ 95 GHz) EPR spectrometers with different design approaches, and a commercial 150 W Q-band (34 GHz) spectrometer. The first W-band measurement approach uses a conventional, narrow band single mode cavity, while the second uses a broadband non-resonant induction mode sample holder. Both systems incorporate advanced arbitrary waveform generators (AWGs) that give flexibility over excitation bandwidth. We use three DOTA-like Gd(III) spin labels, Gd.C12, Gd.DO3A and Gd.L 1 , conjugated to the calmodulin protein. We compare measurements taken by including or excluding the Gd(III) central transition excitation. The advantages and disadvantages of the EPR spectrometers for the measurement of Gd(III)–Gd(III) DEER are discussed in terms of the robustness of the resulting distance distribution width, absolute and concentration sensitivity, sample handling, ease of use, and flexibility of measurement.

Background/Objectives: Urinary tract infections (UTIs) represent a significant public health challenge, with Escherichia coli being the primary causative pathogen. The rise in antimicrobial resistance (AMR), further intensified by shifts in antibiotic prescribing practices during and after the COVID-19 pandemic, poses substantial difficulties in treatment optimization and clinical management. Methods: This retrospective study analyzed 644 E. coli strains from urine samples collected in a southeastern Romanian hospital during two periods: pre-pandemic (2018–2019, N = 361) and post-pandemic (2023–2024, N = 283). Antimicrobial susceptibility was assessed using the VITEK automated system for key antibiotic classes. Results: A significant increase in fluoroquinolone resistance was observed, especially for ciprofloxacin (p = 0.02), alongside rising ceftriaxone resistance (p = 0.004), suggesting the spread of ESBL-producing strains. Resistance to trimethoprim/sulfamethoxazole, ampicillin, and amoxicillin/clavulanic acid remained high, limiting their empirical use. Carbapenem resistance was low (p > 0.1), while nitrofurantoin and fosfomycin retained high efficacy (p = 0.26 and p = 0.64). Conclusions: The post-pandemic period showed a concerning rise in resistance to fluoroquinolones and third-generation cephalosporins, highlighting the need for stricter antimicrobial stewardship. Carbapenems remain effective for severe infections, while nitrofurantoin and fosfomycin are reliable first-line options for uncomplicated UTIs. Continuous AMR surveillance is essential to optimize treatment and curb multidrug-resistant strains.

Background/Objectives: Healthcare-associated infections (HAIs) remain a major source of morbidity, mortality, and healthcare burden, and were profoundly affected by the COVID-19 pandemic through changes in case mix, care organization, and antimicrobial use. This study aimed to compare the epidemiology, etiology, ward distribution, risk factors, and outcomes of HAIs during the pandemic and post-pandemic periods in southeastern Romania, with particular emphasis on Clostridioides difficile infection (CDI), multidrug-resistant (MDR) pathogens, and in-hospital mortality. Methods: This retrospective observational study included 3929 patients with confirmed HAIs reported by 10 hospitals in one Romanian county between March 2020 and December 2024, divided into a pandemic period (March 2020–March 2022) and a post-pandemic period (April 2022–December 2024). Sociodemographic, clinical, ward-related, therapeutic, and microbiological variables, together with discharge status and cause of death, were analyzed using Fisher’s exact test, Z-tests with Bonferroni correction, the Mann–Whitney U test, and multivariable models, applying national and ECDC-aligned surveillance definitions for HAIs. Results: Patients were predominantly older adults (median age 67 years), with a slight male and urban predominance. Hospital stays were longer during the pandemic. Immunosuppression, previous surgery, antisecretory therapy, and chemotherapy were more frequent post-pandemic. HAIs were mainly reported from medical wards, with a relative shift towards intensive care units during the pandemic; pediatric wards carried a smaller burden. CDI was the leading HAI (about half of all cases) with higher post-pandemic prevalence, whereas SARS-CoV-2 infections predominated in medical and surgical wards; Acinetobacter baumannii and Klebsiella pneumoniae clustered in intensive care units during the pandemic, and were more often associated with mortality. Overall, 59.7% of patients improved and 17.5% died, with higher mortality during the pandemic, while post-pandemic deaths were more frequently unrelated to HAIs. Conclusions: This study demonstrates a substantial and ongoing burden of healthcare-associated infections in southeastern Romania, with elderly patients with prolonged hospital stays and complex medical conditions being most affected and experiencing considerable mortality, particularly in medical and intensive care units. After the pandemic, Clostridioides difficile infections became more prevalent in the context of repeated antibiotic use and immunosuppression. Mortality among patients with HAIs was higher during the pandemic, whereas in the post-pandemic period deaths were more often unrelated to HAIs, underscoring the need to strengthen antimicrobial stewardship programs and infection prevention strategies.

The world has changed forever as a result of the COVID-19 pandemic. Antimicrobial resistance is a primary global health concern that places a significant financial and health burden on nations. Patients with Campylobacter-caused infections were the subject of the retrospective investigation. The data show that children aged 1–6 are the most commonly affected by Campylobacter enteritis. Resistance levels fluctuated over the course of the two periods. Nine isolates were sensitive to macrolides, and only one was responsive to tetracycline, which indicated inadequate sensitivity across all classes throughout the pandemic. This pattern raises serious concerns about the potential impact on public health. Tetracyclines and fluoroquinolones rank highest in terms of bacterial resistance. Regardless of the species, macrolides remain a practical and sufficient treatment for Campylobacter enteritis. Reassurance is still provided by much lower numbers in the post-pandemic period. There is no evidence to support the alarming claims made in the international literature about macrolides in Romania.

The use of probiotics in aquaculture has become a necessity to increase disease resistance. Probiotics are also capable of increasing feed digestion and conversion, decreasing sensitivity to stress, and improving the health of the fish. The aim of this study was to analyse the effect of probiotics on survival, welfare, growth indices and blood composition in Siberian sturgeon (Acipenser baerii), reared in a recirculating system. Diets were supplemented with Lactobacillus acidophilus (FLa) and Saccharomyces boulardii (FSb), separately and combined (FLa + Sb). The effect of probiotics was investigated on 2000 fish with a mean weight of 8.82 ± 0.29 g/specimen. Fish were fed for eight weeks with four different diets: a control without probiotics, one with the addition of lactic acid bacteria (La), one with the addition of yeast (Sb), and one with a mixture of bacteria and yeast in equal proportions (50% La + 50% Sb). FLa + Sb showed a better condition factor (Fulton coefficient, K = 0.39%) and significantly higher growth performance in terms of individual growth (WGi = 35.56 g), total growth gain (WGt = 15.30 g), specific growth rate (SGR, 2.70%/day), and feed conversion ratio (FCR = 1.58), compared to the control. The concentration of lymphocytes, monocytes, and neutrophils was higher in the tanks fed with probiotics compared to the control. The presence of probiotics caused a decrease in cholesterol and glucose. There were significant differences between the Immunoglobulin M values identified in the tank fed with FLa + Sb and the control tank. The results showed that the addition of lactic acid bacteria and yeasts, introduced as probiotics in the diets of Acipenser baerii, reared in a recirculating system, improved the growth indicators, survival, and welfare of the fish.

Globalization and technological change that have characterized recent years have created a new global economy powered by technology, fueled by information and knowledge, with serious implications for the nature and purpose of education institutions. Effective integration of ICT into the education system is a complex, multilateral process that involves not only the presence of technology, but also a corresponding curriculum, institutional availability, teachers' skills development, long-term funding. This article explores the use of ICT tools in vocational education and training in tourism, proposing concrete ways to use new technologies in teaching-learning-evaluation of disciplines in the field of Tourism and Food. The research was carried out on a sample composed of high school students from Constanta County, Romania, and we used the psycho-pedagogical experiment as a research method. The results of the analysis confirm the initial hypothesis that the use of ICT, as a teaching method in tourism classes, determines, among pupils, the formation and development of specific skills to a greater extent than the use of traditional methods.