Gravity inversions have contributed greatly to our knowledge of the interior of planetary bodies and the processes that shaped them. However, previous global gravity inversion methods neglect the inference of mantle density anomalies when using techniques to decrease the non‐uniqueness of the inversion. In this work, we present a novel global gravity inversion algorithm, named THeBOOGIe, suited to inferring global‐scale density anomalies within the crust and mantle of planetary bodies. The algorithm embraces the nonuniqueness inherent in gravity inversions by not prescribing at the outset a density interface or depth range of interest. Instead, the method combines a Bayesian approach with a flexible incorporation of prior geological or geophysical information to infer density anomalies at any depth. A validation test using synthetic lunar‐like gravity data shows that THeBOOGIe can constrain the lateral location of crustal density anomalies but tends to overestimate their thicknesses. Importantly, THeBOOGIe can detect deep mantle density anomalies and quantify the level of confidence in the inferred density models. Our results show that THeBOOGIe can provide complementary information to one‐dimensional seismic models of the interior of the terrestrial planets and the Moon by constraining density anomalies that are not spherically symmetric. Additionally, THeBOOGIe is specially suited to constraining the interior of partially differentiated bodies where these large‐scale density anomalies are more likely to exist. Finally, thanks to the flexible use of priors, THeBOOGIe is an essential tool to understand the interior of planetary bodies lacking additional constraints.

Small cell lung cancer (SCLC) is an aggressive malignancy characterized by rapid proliferation, early dissemination, acquired therapy resistance, and poor prognosis. Early diagnosis of SCLC is crucial since most patients present with advanced/metastatic disease, limiting the potential for curative treatment. While SCLC exhibits initial responsiveness to chemotherapy and radiotherapy, treatment resistance commonly emerges, leading to a five-year overall survival rate of up to 10%. New effective biomarkers, early detection, and advancements in therapeutic strategies are crucial for improving survival rates and reducing the impact of this devastating disease. This review aims to comprehensively summarize current knowledge on diagnostic options, well-known and emerging biomarkers, and SCLC treatment strategies and discuss future perspectives on this aggressive malignancy.

Helichrysum italicum (Roth) G. Don., immortelle, is a plant species used in ethnomedicine and the food industry as a spice added to food, beverages, and bakery products. It has been shown to possess various biological activities, such as antioxidant and antibacterial activity, making it useful as a natural preservative. We investigated the phytochemical profile and biological activity of H. italicum essential oils from wild-grown plant material collected from natural habitats in the Republic of Croatia and Bosnia and Herzegovina. Using high-resolution scanning electron microscopy (SEM), a visual investigation of plant organs (stem, leaf, and flower) was performed, confirming the presence of essential oil reservoirs on the surface of all examined plant organs. Essential oils were isolated by hydrodistillation in the Clevenger apparatus. The chemical composition of the essential oils was determined using the GC-MS analytical technique. Cytotoxic activity tests were performed in vitro on three cell lines: skin (fibroblast), lung, and breast cancer. Using statistical tools, the synergistic and selective effects of H. italicum essential oil on healthy and tumor cells were correlated to chemical composition and cytotoxic activity. The synergistic and antagonistic effects of H. italicum essential oil’s individual components were simulated by testing pure compounds and their mixture of cytotoxic activity on fibroblasts and breast cancer cells. The results confirm that essential oil’s biological activity is much greater than the sum of the effects of its components. The present data are novel contributions to the body of knowledge on the biological activity of this species used in the food industry.

The aim of this paper is to highlight the importance of a multidimensional approach to the contextual assessment of learning abilities in students with cerebral palsy. The paper presents a case study of a nine-year-old student with multiple developmental disabilities (cerebral palsy and additional influencing difficulties) attending a regular primary school with an individual educational program (IEP). In order to determine the measures for individualizing the educational process for the student, the assessment of internal conditions and learning abilities was conducted individually within a daily rehabilitation center, while the environmental conditions were observed within the school setting. The evaluation of the assessment results emphasized the significance of conducting assessments in all relevant contexts, as it was the only way to obtain a comprehensive understanding of the student's level of functioning and the necessary measures for improving her learning and participation.Key words: multidimensional assessment, learning abilities, cerebral palsy

The main goal of the paper is to examine comprehension of basic emotion and facial expression of children with hearing impairment. The research encompasses a sample of 66 respondents out of which 33 have non-damaged hearing and the remaining 33 respondents have hearing impairment. The age of respondents ranges, in chronological order, from 7 to 15 years. Recognition of emotions and facial expressions is being examined through 4 sets of tasks. The Emotion Recognition Test (ERT) is being used for evaluation, it has been adapted for the purpose of this paper and thereby adjusted for electronic usage via computer and internet. Through statistical processing of given data, following components have been calculated: minimal and maximum values, arithmetic mean, standard deviation, Wilcoxon Signed Ranks Test, Mann-Whitney U test, curvature test and flattening of distribution curve, t-test. Research results concluded that hearing impairment in children affects, with statistical significance, recognition and comprehension of facial expressions and emotions compared to their peers with no hearing impairment. The results were expected given the hearing condition and the consequences which hearing impairment creates. Children with hearing impairment possess poor vocabulary which affects comprehension of emotions. Statistically significant difference occurs among children with hearing impairments and recognition and comprehension of facial expression and emotions within situational context and isolated facial expressions.Key words: deaf children, comprehension of emotions, emotions of the deaf, facial expressions, hearing impairments.

OP-145 and SAAP-148, two 24-mer antimicrobial peptides derived from human cathelicidin LL-37, exhibit killing efficacy against both Gram-positive and Gram-negative bacteria at comparable peptide concentrations. However, when it comes to the killing activity against Escherichia coli, the extent of membrane permeabilization does not align with the observed bactericidal activity. This is the case in living bacteria as well as in model membranes mimicking the E. coli cytoplasmic membrane (CM). In order to understand the killing activity of both peptides on a molecular basis, here we studied their mode of action, employing a combination of microbiological and biophysical techniques including differential scanning calorimetry (DSC), zeta potential measurements, and spectroscopic analyses. Various membrane dyes were utilized to monitor the impact of the peptides on bacterial and model membranes. Our findings unveiled distinct binding patterns of the peptides to the bacterial surface and differential permeabilization of the E. coli CM, depending on the smooth or rough/deep-rough lipopolysaccharide (LPS) phenotypes of E. coli strains. Interestingly, the antimicrobial activity and membrane depolarization were not significantly different in the different LPS phenotypes investigated, suggesting a general mechanism that is independent of LPS. Although the peptides exhibited limited permeabilization of E. coli membranes, DSC studies conducted on a mixture of synthetic phosphatidylglycerol/phosphatidylethanolamine/cardiolipin, which mimics the CM of Gram-negative bacteria, clearly demonstrated disruption of lipid chain packing. From these experiments, we conclude that depolarization of the CM and alterations in lipid packing plays a crucial role in the peptides’ bactericidal activity.

Introduction: The paper aims to research how the Covid-19 infection affects BPH patients, whether their PSA, prostate volume, residual urine, and quality of life have changed. Additionally, to examine whether any of these variables are a predictive factor for acute urinary retention (AUR). Methodology: The study comprised 80 patients with clinical manifestations of LUTS, an aggravation of previously diagnosed BPH, and who recovered from COVID-19. IPSS, QoL, PSA, prostate volume, and postmicturition residual urine were studied before and after COVID-19. Results: The IPSS score, PSA, prostate volume, and residual urine were signicantly higher after recovering from COVID-19. Additionally, greater IPSS-QoL scores were discovered. Nine patients (mostly older than 60) suffered acute retention during or after the COVID-19 infection. Residual urine was found to be a signicant predictor of AUR. Conclusion: COVID-19 infection is caused by aggravating LUTS symptoms associated with BPH. Consequently, the increase postmicturition residual urine can be considered a predictive factor for the occurrence of AUR

Modern business systems have the expectations and requirements of users and stakeholders for safer and better services that are constantly growing. The increasing use of information technology in business increases the threats and vulnerabilities to which information resources are exposed, which causes an increase in information risks. Many business institutions must constantly monitor their activities to establish an organized and sustainable information security management system and services. The requirements of the international standard ISO/IEC 27001 and the generally accepted COBIT management framework are important for the application of such a system. The paper presents a model of a sustainable information security management system (ISMS) at universities.

Workplace stress or professional stress is a specific type of stress that is highly prevalent among police officers. Police officers are exposed to high levels of stress and its negative impact ontheir physical and mental health, as well as their social lives. The aim of this research is to determine the attitudes regarding the connection between physical fitness and stress prevention among police officers. The sample consists of 516 employees from police departments in the Central Bosnia Canton. The sample is structured with 312 male participants and 204 female participants. Both descriptive and analytical methods were applied in this research, as the descriptive method was used to describe the distribution of the studied phenomenon, while the analytical part followed the logic of the research. Analyzing all the results, it can be concluded that there is a high level of satisfaction with the management of work processes among police officers and with stress reduction in the workplace. The conclusion arises about the necessity of increasing the number of hours of police training, primarily for basic and investigative police work, in stress prevention among police officers. The results of comparative analysis indicate that there is no statistically significant difference among participants based on gender. The results show that the age of the participants significantly influences their attitudes towards overall satisfaction with management quality. Theresults suggest that participants who have been employed the longest and make the most use of the existing infrastructure express more positive attitudes.Key words:police, stress, physical fitness, burnout, prevention.

Millimeter wave (mmWave) systems need beam management to establish and maintain reliable links. This complex and time-consuming process seriously affects communication efficiency. Benefiting from data-driven technology in deep learning, the beam can be predicted from the waveform without coordination between transceivers. By passively listening enough waveforms that are transmitted from the base station (BS) to other receivers, the BS can predict which beam is suitable for transmitting in the downlink. However, training such a waveform learning neural network usually requires a large number of labeled training samples. This is a huge challenge, because it is difficult for the receiver to get the precise signal parameters from the transmitter in advance in the non-cooperative mmWave system. As a result, the limited samples may cause overfitting and seriously restrict the performance. Although the data augmentation technology can improve the performance under limited samples, existing data augmentation methods are mostly based on strong prior knowledge which cannot further exploit the potential characteristics of data in the real environment. This paper proposes a mixed regularization training method for training the beam prediction neural network under limited training samples. Specifically, data augmentation is implemented in the data pre-processing procedure with prior knowledge and then the signal splicing strategy is proposed in the training procedure. In order to mine the time correlation characteristics of signals, the cyclic time shift (CTS) based data augmentation method is proposed in the data augmentation step. The simulation results show that our proposed deep regularized waveform learning method needs less training samples under the same performance. Moreover, the proposed method can achieve best performance compared with existing data augmentation methods.