Attosecond spectroscopy of materials has provided invaluable insight into light-driven coherent electron dynamics. However, attosecond spectroscopies have so far been focused on weakly-correlated materials. As a result, the behavior of strongly-correlated systems is largely unknown at sub- to few-femtosecond timescales, even though it is typically the realm at which electron-electron interactions operate. Here we conduct attosecond-resolved experiments on the correlated insulator nickel oxide, and compare its response to a common band insulator, revealing fundamentally different behaviors. The results, together with state-of-the art time-dependent $\textit{ab initio}$ calculations, show that the correlated system response is governed by a laser-driven quench of electron correlations. The evolution of the on-site electronic interaction is measured here at its natural timescale, marking the first direct measurement of Hubbard $U$ renormalization in NiO. It is found to take place within a few femtoseconds, after which structural changes slowly start to take place. The resulting picture sheds light on the entire light-induced response of a strongly-correlated system, from attosecond to long-lived effects.

Attosecond spectroscopy of materials has provided invaluable insight into light-driven coherent electron dynamics. However, attosecond spectroscopies have so far been focused on weakly-correlated materials. As a result, the behavior of strongly-correlated systems is largely unknown at sub- to few-femtosecond timescales, even though it is typically the realm at which electron-electron interactions operate. Here we conduct attosecond-resolved experiments on the correlated insulator nickel oxide, and compare its response to a common band insulator, revealing fundamentally different behaviors. The results, together with state-of-the art time-dependent $\textit{ab initio}$ calculations, show that the correlated system response is governed by a laser-driven quench of electron correlations. The evolution of the on-site electronic interaction is measured here at its natural timescale, marking the first direct measurement of Hubbard $U$ renormalization in NiO. It is found to take place within a few femtoseconds, after which structural changes slowly start to take place. The resulting picture sheds light on the entire light-induced response of a strongly-correlated system, from attosecond to long-lived effects.

Information and communication technology development has brought significant changes to the taxation system, including the emergence of increasingly complex cybercrimes. This study aims to analyze the evolution of cybercrimes in the digital taxation system and the strategies and challenges in dealing with them. The method used is qualitative normative with a literature study approach. The study results indicate that cybercrimes in taxation include identity fraud, fake tax refund schemes, and international tax evasion, with significant financial impacts. Law Number 1 of 2024 concerning the Second Amendment to the UU ITE provides a more substantial legal basis but still requires harmonization with existing tax regulations. The handling strategy involves applying digital forensics, artificial intelligence, and international cooperation. The main challenge lies in the complexity of cybercrime, which continues to grow, and the need for more comprehensive regulations. This study concludes that a holistic approach is needed to strengthen rules, increase technological capabilities, and educate taxpayers to overcome taxation cybercrimes in the digital era.

Accurate health assessment of wild, semi-captive, or domesticated animals is essential for their well-being. Despite this necessity, limited studies have been conducted on deer species, and there is a paucity of information on the hemato-biochemical parameters of different deer species globally. Present study aimed to fill this gap by determining the hematological and serum biochemical parameters of fallow deer (Dama dama) maintained in semi-captivity within zoo environments for the first time in Bosnia and Herzegovina. Present research involved six healthy male fallow deer, aged 2 to 5 years. The deer were immobilized using xylazine hydrochloride and ketamine hydrochloride, and blood samples were collected from the external jugular vein. The hematological parameters measured included RBC, PCV, HGB, MCV, MCH, MCHC, RDW, RETIC, WBC, WBC differential, PLT, MPV, PDW, and PCT. Biochemical parameters included glucose, urea, creatinine, albumin, triglycerides, cholesterol, and enzymes (AST, ALT, ALKP, and GGT) activities. The results showed the higher glucose and urea concentrations and the same values for creatinine, triglycerides, and enzyme activities when compared to some previous reports. These findings highlighted the importance of considering handling methods and environmental conditions when interpreting biochemical parameters, contributing to improved health assessments and management practices for deer in captivity. Keywords: Biochemical and hematological parameters, Captive wildlife, Domesticated animals, Fallow deer.

The success and failure of any organization largely depend on talented and competent employees. Through human resource management (HRM) practices and policies, organizations strive to ensure committed employees. One of the fundamental practices they use is undoubtedly material and immaterial compensation. Adequate management of such compensation may contribute to greater employee engagement in achieving the set goals, realizing the mission, and fulfilling the vision of the organization. In such ways employees confirm their affiliation with the organization, which classifies them as committed employees. The paper assumes that the adequate application of material and immaterial compensation in organizations in Bosnia and Herzegovina (BiH) may improve employee organizational commitment. This ultimately has a positive impact on the effectiveness and efficiency of organizations. The research was conducted in 128 BiH organizations with more than 50 employees across four sectors. The hypotheses were tested applying the Principal Components Analysis (PCA) through the Kaiser-Meyer-Olkin (KMO) values and Bartlett's test of sphericity and the regression analysis. The results show a statistically significant positive impact of material and immaterial compensation on employee organizational commitment. Creating more agile policies and practices of human resource management, especially those related to material and immaterial compensation, can significantly improve employee commitment as well as the entire organizational effectiveness.

BACKGROUND: A minority of patients with stroke qualify for intravenous thrombolysis (IVT) within 4.5-hour window. The safety and efficacy of IVT beyond this period have not been well studied. METHODS: We systematically searched MEDLINE, Embase, Cochrane, and ClinicalTrials.gov for relevant randomized clinical trials. Randomized clinical trials comparing IVT versus standard medical care in patients with ischemic stroke beyond 4.5 hours of symptom onset or last known well without mechanical thrombectomy (MT) were included. Primary outcomes were excellent (modified Rankin Scale score of 0–1) and good (modified Rankin Scale score of 0–2) functional outcomes at 90 days, symptomatic intracerebral hemorrhage (sICH), and death at 90 days. Pooled odds ratios (ORs) with 95% CIs were calculated using a random-effects model. Heterogeneity was assessed by Q test and quantified by I² values. RESULTS: Eight randomized clinical trials (1742 patients; mean age, 69.8±9 years, 63.5% men) were included. Compared with standard medical care, IVT achieved higher rates of excellent (OR, 1.43 [95% CI, 1.17–1.75]; Q=2.30; P=0.94; I2=0%) and good functional outcomes (OR, 1.36 [95% CI, 1.12–1.66]; Q=2.07; P=0.96; I2=0%) at 90 days but also increased sICH rates (OR, 4.25 [95% CI, 1.67–10.84], Q=0.48; P=0.99; I2=0%). Mortality at 90 days did not significantly differ between treatment groups (OR, 1.28 [95% CI, 0.87–1.89]; Q=4.63; P=0.59; I2=0%). Subanalyses yielded numerically higher odds of excellent functional outcomes when patients were selected with perfusion imaging (3 studies, OR, 1.45 [95% CI, 1.08–1.94]) compared with diffusion-weighted imaging–fluid-attenuated inversion recovery mismatch (3 studies, OR, 1.34 [95% CI, 0.94–1.91]) and when treated with tenecteplase (3 studies, OR, 1.47 [95% CI, 1.06–2.04]) compared with alteplase (5 studies, OR, 1.38 [95% CI, 1.08–1.78]). CONCLUSIONS: IVT for ischemic stroke beyond 4.5 hours, without MT, led to increased odds of excellent and good functional outcomes compared with standard medical care, despite higher odds of sICH, and a nonsignificant numerical increase in mortality.

We report biomarker treatment effects in the GRADUATE I and II phase 3 studies of gantenerumab in early Alzheimer's disease (AD).

Breast cancer, marked by uncontrolled cell growth in breast tissue, is the most common cancer among women and a second-leading cause of cancer-related deaths. Among its types, ductal and lobular carcinomas are the most prevalent, with invasive ductal carcinoma accounting for about 70–80% of cases and invasive lobular carcinoma for about 10–15%. Accurate identification is crucial for effective treatment but can be time-consuming and prone to interobserver variability. AI can rapidly analyze pathological images, providing precise, cost-effective identification, thus reducing the pathologists’ workload. This study utilizes a deep learning framework for advanced, automatic breast cancer detection and subtype identification. The framework comprises three key components: detecting cancerous patches, identifying cancer subtypes (ductal and lobular carcinoma), and predicting patient-level outcomes from whole slide images (WSI). The validation process includes visualization using Score-CAM to highlight cancer-affected areas prominently. Datasets include 111 WSIs (85 malignant from the Warwick HER2 dataset and 26 benign from pathologists). For subtype detection, there are 57 ductal and 8 lobular carcinoma cases. A total of 28,428 annotated patches were reviewed by two expert pathologists. Four pre-trained models—DenseNet-201, MobileNetV2, an ensemble of these two, and a Vision Transformer-based model—were fine-tuned and tested on the patches. Patient-level results were predicted using a majority voting technique based on the percentage of each patch type in the WSI. The Vision Transformer-based model outperformed other models in patch classification, achieving an accuracy of 96.74% for cancerous patch detection and 89.78% for cancer subtype classification. For WSI-based cancer classification, the majority voting method attained an F1-score of 99.06 and 96.13% for WSI-based cancer subtype classification. The proposed deep learning-based framework for advanced breast cancer detection and subtype identification yielded promising results. This advanced framework shows great promise in medical practice, offering an economical, efficient solution for generating accurate, clinically relevant results and enhancing diagnostic accuracy in hospitals, research centers, and pathology laboratories. Nonetheless, further studies are needed to validate its effectiveness across various environments and larger datasets.

Abstract White enamel discolorations are frequent and can impact patients' quality of life. Enamel hypoplasia is a condition that affects the quality of enamel, resulting in a change in its translucency and color. Minimally invasive procedures of the slightly altered enamel are an effective treatment for improving the esthetic appearance of tooth discoloration. They contribute to a greater longevity of teeth and prevent them from relapsing into the repetitive restorative cycle. Two case reports aimed to show a sequential technique of minimally invasive procedures for treating enamel hypoplasia in anterior teeth. The sequential technique consisted of three steps: anterior teeth were firstly bleached in office with 40% hydrogen peroxide (Opalescence™ Boost™, Ultradent Products Inc, South Jordan, UT, USA), then hypoplastic spots on the buccal incisal thirds of the maxillary central incisors were treated with two sessions of microabrasion using phosphoric acid (Ultra-Etch, Ultradent Produtos Inc, USA) and pumice stone and finally resin infiltrant (Icon, DMG, Germany) was applied on the buccal incisal thirds of teeth in one session. The proposed strategy was based on masking the lesion by infiltrating the porous subsurface enamel with a hydrophobic resin that has a refraction index closer to that of sound enamel, after permeating the non-porous surface enamel through hydrochloric acid erosion. The masking of hypoplastic spots was done with this sequence of treatments and reestablishing color harmony. However, the clinical success can vary depending on the depth of white spots, patient's oral hygiene habit and compliance with post-treatment care instructions.

Visual Abstract Hearing impairment (HI) disrupts social interaction by hindering the ability to follow conversations in noisy environments. While hearing aids (HAs) with noise reduction (NR) partially address this, the “cocktail-party problem” persists, where individuals struggle to attend to specific voices amidst background noise. This study investigated how NR and an advanced signal processing method for compensating for nonlinearities in Electroencephalography (EEG) signals can improve neural speech processing in HI listeners. Participants wore HAs with NR, either activated or deactivated, while focusing on target speech amidst competing masker speech and background noise. Analysis focused on temporal response functions to assess neural tracking of relevant target and masker speech. Results revealed enhanced neural responses (N1 and P2) to target speech, particularly in frontal and central scalp regions, when NR was activated. Additionally, a novel method compensated for nonlinearities in EEG data, leading to improved signal-to-noise ratio (SNR) and potentially revealing more precise neural tracking of relevant speech. This effect was most prominent in the left-frontal scalp region. Importantly, NR activation significantly improved the effectiveness of this method, leading to stronger responses and reduced variance in EEG data and potentially revealing more precise neural tracking of relevant speech. This study provides valuable insights into the neural mechanisms underlying NR benefits and introduces a promising EEG analysis approach sensitive to NR effects, paving the way for potential improvements in HAs.

Introduction The ability of airline pilots to maintain a good level of sleep goes a long way in ensuring operational effectiveness with regard to safety as well as personal health. The study assesses the risk factors for sleep quality of airline pilots in Serbia with the objective of determining those factors, both occupational and lifestyle that are paramount in assisting with sleep health. Methods A cross-sectional study was conducted on a total of 66 Serbian commercial pilots, and the Pittsburgh Sleep Quality Index (PSQI) was used to assess their sleep quality. Demographic, occupational, lifestyle, biological and psychological variables were obtained through validated questionnaires. Multivariate logistic regression was used to determine the predictors of poor sleep quality (PSQI ≥5). Results Overall sleep quality was poor in 65.2% of the participants. Significant factors associated with poor sleep quality included years of experience (OR = 1.17, p = 0.007) and levels of stress (OR = 2.87, p = 0.004). Particular lifestyle variables, including factors such as coffee intake, had initial relationships with sleep quality but were not significant in the multivariate models. With regard to age, a significant univariate association was also revealed but was dropped in the final model because of collinearity with years of experience. Conclusion Serbian commercial pilots have a relatively high risk of inadequate sleep associated with years of experience and levels of stress. There is a need to implement organization-wide changes such as stress management schemes in order to improve sleep quality among pilots, and foster prioritizing well-being.

AIM To compare the histological structure of biopsies from the anterior and posterior regions of the human palate in order to gain insights into potential differences of soft tissue harvesting sites. METHODS This comparative study involved 20 participants, from each of whom four samples from the palatal mucosa were collected. The biopsies were histologically processed and subsequently analysed. The thickness of the epithelium, lamina propria, and the length of the rete pegs were measured using a microscope. In addition, parameters such as collagen fibres, elastic fibres, elastic connective tissue, loose connective tissue and the background were measured. RESULTS The mean epithelial thickness was 0.42 mm anteriorly and 0.37 mm posteriorly. The mean thickness of the lamina propria was 0.81 mm anteriorly and 0.85 mm posteriorly. Within the region of interest, collagen fibres were significantly less abundant anteriorly than posteriorly (p = 0.016). The loose connective tissue showed a significantly higher occurrence in the anterior compared with the posterior sampling site (p = 0.004). CONCLUSION This trial indicates no differences in terms of the thickness of the lamina propria. There was a higher concentration of collagen fibres and a lower concentration of loose connective tissue in the posterior region of the palate.

This chapter presents Modified Newtonian Dynamics (MOND), the proposal that, below a certain acceleration scale $a_0$, dynamics departs from the Newtonian expectation. In that context, the determining factor for the emergence of apparent missing matter in galactic systems is predicted to be the acceleration, and not the mass or size of the system. MOND enables, for example, the prediction of rotation curves from only the baryonic distribution of galaxies. The simple rule is that the acceleration observed in the low-acceleration regime is the square root of the Newtonian expectation times $a_0$. Immediately, the flatness of rotation curves follows, as well as the proportionality of the fourth power of the asymptotic circular speed to only the baryonic mass of the galaxy. While the asymptotic circular speed is predicted not to depend on the baryonic surface density of galaxies of fixed baryonic mass, the inner shape of rotation curves is predicted to strongly depend on it. More generally, MOND implies an algebraic relation between the acceleration expected from Newtonian gravity and the total observed acceleration, at any radius in a galaxy. This is known, observationally, as the Radial Acceleration Relation. For galaxy clusters, it is commonly accepted that MOND fails, needing a stronger gravitational force (or more baryonic mass than observed) to account for the thermodynamic state of galaxy clusters, their lensing and kinematics. MOND, however, is not a complete theory, but a phenomenological non-relativistic paradigm in the limit of low accelerations, in need of embedding in a more fundamental theory. While various non-relativistic field theories of MOND exist, the search for a relativistic theory that recovers general relativity for high accelerations and MOND for low accelerations in the quasi-static limit, as well as a cosmology compatible with observations, is still on-going.