Introduction: Most foodborne illnesses can be prevented by proper food preparation. The estimated prevalence of these diseases is 300-350 times higher than the data available today, which represents only the “tip of the iceberg.” Although restaurants are cited as the most common sites for food poisoning, these cases are three times more likely to occur in households. Therefore, assessing food consumer knowledge and practices provides a basis for formulating and designing programs to promote food safety in households. Methods: Representatives of 384 households in six urban and rural municipalities in Sarajevo Canton participated in the survey. A previously designed and validated household food safety questionnaire was used to explore the knowledge and practices of the population regarding household food safety. Respondents’ knowledge and practices were assessed by the score they achieved, with one point awarded for each correct answer. The range of scores for knowledge and practices was divided into quartiles. The Chi-square test was used to examine whether there was a difference between expected and observed scores in one or more categories in contingency tables. Results: In the assessment of food safety knowledge, 62% of the respondents had good knowledge, 33.1% had average knowledge, and 4.9% had poor knowledge. The results showed that 59.4% of the respondents had average practices and 22.4% had poor practices regarding food safety in their households. It was confirmed that various socioeconomic factors had a significant influence on consumers’ knowledge and practice regarding food safety in their households (p < 0.05). Conclusions: Nowadays, the topic of food safety is rarely discussed in households, and the public is not aware of the risks they face. Urgent action should be taken to raise collective awareness of the importance of household food safety to public health.

Introduction: Industrialization and urbanization led to a significant increase in the environment. Lead inhibits the activity of numerous enzymes, triggers oxidative stress, and causes protein biosynthesis dysregulation. Inhalation of lead particles is the most common route of intoxication associated with occupational exposure. This study aims to evaluate laboratory methods and biomarkers in the assessment of lead exposure. Methods: For non-experimental qualitative research, available scientific articles in English published in the relevant databases (MEDLINE and ScienceDirect) were used. The database search was performed using the keywords “Laboratory diagnostics”, “occupational exposure”, and “lead”. Results: Atomic absorption spectrometry (AAS) is the gold standard in laboratory monitoring of occupational lead exposure. Inductively coupled plasma with mass spectrometry is a commonly used method described as more sensitive than AAS due to its low detection limit. Lead concentrations can be determined in various samples, but blood and urine are the most commonly used in laboratory practice. The most important exposure biomarker is the enzyme δ-aminolevulinic acid dehydratase (ALAD) in the blood, which is characterized by progressive inactivation by lead and a negative correlation with its concentration. The concentration of urinary delta-aminolevulinic acid (δ-ALA-U) reflects the state of impaired enzyme function in heme biosynthesis. In addition, determining blood zinc protoporphyrin and urinary coproporphyrin levels significantly aids in assessing occupational lead exposure disorders. Conclusion: The availability of the laboratory methods used and the biomarker specificity and sensitivity play an important role in the adequacy of lead exposure monitoring. Accurate determination of ALAD and δ-ALA-U concentrations, along with other biomarkers, is critical for assessing individuals exposed to lead.

Introduction: Work-related musculoskeletal disorders (WRMSDs) are the most common work-related disorders and describe a wide range of degenerative and inflammatory states that affect blood vessels, peripheral nerves, bones, joints, ligaments, tendons, and muscles. Healthcare as a special sector has almost the highest prevalence of WRMSDs in the world, far ahead of construction, mining, and manufacturing. Studies conducted in the EU and the USA indicate that health-care professionals most often have a problem with the lower back between 50% and 57% of cases, resulting in an average loss of more than 7 working days during 1 year. Methods: This study included 177 health professionals of both genders who are actively involved in the provision of health-care services. The study was conducted in the Public Health Center of Sarajevo Canton, which provides primary and specialist consultative healthcare services. The study was designed as a prospective, longitudinal, interventional, and descriptive-analytical that included all respondents who met the inclusion criteria. The instruments used in the study are the standardized Dutch Musculoskeletal Discomfort Questionnaire, modified according to our study, the standardized work ability index, and the ergonomic intervention program (EIP). Results: The highest frequency of work-related MKDs in health-care professionals before and after implementation of the EIP was in the neck area (83.1% before, 64.9% after), in the upper back region (71.8% before, 56.5 % after) and in the lower back region (68.4% before, 55.9% after). The average score of the working ability index before the introduction of the EIP was 35.44 ± 8.59, while after the implementation of the EIP it increased statistically significantly and amounted to 38.40 ± 7.30. Conclusion: The EIP influenced the reduction of the MKDs frequency caused by work, and increased the working capacity of health-care professionals.

Introduction: The complaints that occur in the area of the lumbar spine are summarized under the term lumbar pain syndrome. These include lumbar discopathy, lumbago, lumboischialgia, sciatica, and other complaints associated with the lumbar region of the spine. The purpose of this study is to evaluate sociodemographic characteristics, assess the degree of disability patients experience due to lumbar pain syndrome, evaluate how many patients catastrophize their pain, and assess the effectiveness of the dry needling technique along with other physical therapy modalities in people with lumbar pain syndrome. Methods: The study was designed as a prospective study conducted from March 2022 to June 2022. 35 subjects of both sexes, aged 25-83, agreed to participate in the study. The subjects who enrolled were pre-dominantly suffering from chronic lumbar pain syndrome, and there were also a smaller number of subjects with acute lumbar pain syndrome. Results: The majority of respondents suffer from lumbar pain syndrome, which falls into the chronic category in 29 or 82.9% of cases. The mean score after the application of therapy on the Oswestry Disability Index (ODI) scale was 22.0 ± 16.23% and was statistically significantly lower. The average score after the application of the therapy on the visual analog scale (VAS) was 3.06 ± 2.31 and is statistically significantly lower (p < 0.05) compared to the period before the therapy. Conclusion: Dry needling in combination with standard physical procedures led to statistically significant improvements. The mean score on the pain catastrophe scale, VAS, and ODI was significantly lower than in the pre-therapy period.

Introduction: The introduction of hybrid imaging systems such as Single Photon Emission Computed Tomography/Computed Tomography (SPECT/CT) has completely changed the scanning procedure of conventional diagnostic nuclear medicine protocols. Modern bone scintigraphy protocols include SUV quanitification and Whole Body (WB) SPECT/CT scanning modality. The major limitation of these new technologies is relatively long scanning time. New detector systems with modern reconstruction softwares have been developed for fast scanning SPECT protocolos. These new technologies can produce images of reduced acquisition with same quality as full scanning acquisition. As a result new studies suggest that planar WB scintigraphy should be replaced with WB SPECT/CT. Methods: One hundred oncology patients performed SPECT/CT as a part as their clinical follow-up. Three different scanning and three reconstruction protocols have been evaluated. Two nuclear medicine physicians evaluated with Likert scale image sharpness, lesion visibility, and lesion background detectability. The overall image quality was determined as the sum of these three parameters. Results: In terms of scan duration reduction on image quality, Volumetrix Evolution for Bone performed during ultra-fast SPECT acquisition achieved the highest score, which is superior compared to the standard SPECT acquisition protocol. The overall image quality was the best with the Volumetrix MI Evolution for Bone protocol for ultra-fast acquisition Conclusion: The Evolution for Bone protocol for ultra-fast acquisition showed best results compared to other protocols. The adoption of new acquisition SPECT protocol may offer more comfortable exams, resulting in higher patient satisfaction. The implementation of this new protocol can lead to an improvement in SPECT sensitivity, primarily due to the reduction of SPECT motion artifacts.

Mass spectrometry is a crucial technology in numerous applications, but it places stringent requirements on the detector to achieve high resolution across a broad spectrum of ion masses. Low-dimensional nanostructures offer opportunities to tailor properties and achieve performance not reachable in bulk materials. Here, an array of sharp zinc oxide wires was directly grown on a 30 nm thin, free-standing silicon nitride nanomembrane to enhance its field emission (FE). The nanomembrane was subsequently used as a matrix-assisted laser desorption/ionization time-of-flight mass spectrometry detector. When ionized biomolecules impinge on the backside of the surface-modified nanomembrane, the current—emitted from the wires on the membrane’s front side—is amplified by the supplied thermal energy, which allows for the detection of the ions. An extensive simulation framework was developed based on a combination of lateral heat diffusion in the nanomembrane, heat diffusion along the wires, and FE, including Schottky barrier lowering, to investigate the impact of wire length and diameter on the FE. Our theoretical model suggests a significant improvement in the overall FE response of the nanomembrane by growing wires on top. Specifically, long thin wires are ideal to enhance the magnitude of the FE signal and to shorten its duration for the fastest response simultaneously, which could facilitate the future application of detectors in mass spectrometry with properties improved by low-dimensional nanostructures.

Background : Both objective and subjective transvaginal sonography (TVS) methods are used to assess the degree of myometrial invasion (MI). Subjective TVS assessment of MI ( < 50% or > 50%) may be as good or better than any objective measurement technique. The aim of this study is to examine the ultrasound characteristics of endometrial cancer (EC) in two groups of patients; with myometrial invasion less and greater than 50%. Methods : This is a prospective cohort study included 60 female patients with pathohistologically (PHD) proven endometrial cancer. Patients were divided into two groups, after surgery and PHD assessment of MI degree, into those with less and more than 50% MI. The degree of MI was performed by subjective assessment ( < 50% and > 50%). Results : The frequency of anteroposterior (AP) diameter of EC greater than 2 cm was statistically significantly higher in the group of subjects with MI > 50% ( p < 0.00001). The volume of EC in the group of patients with MI > 50% is statistically significantly higher, with a difference of 10.48 milliliters compared to the group of subjects with MI < 50% ( p < 0.00014). The difference in the average distance of the EC from the serosa is 0.11 cm between the two examined groups and is statistically significant ( p = 0.0394). The kappa concordance coefficient for the subjective TVS method versus the PHD finding was statistically significant ( p < 0.001), and was kappa = 0.72. Analysis of the diagnostic accuracy showed that the subjective TVS method compared to the gold standard in the diagnosis of MI > 50% has a good diagnostic value: accuracy = 0.87; sensitivity = 0.77; specificity = 0.94; positive predictive value = 0.91; negative predictive value = 0.84; positive likelihood ratio = 13.08; negative likelihood ratio = 0.25. According to the subjective method of TVS, the degree of MI was overestimated in 5.9% of respondents, underestimated in 23.1%. Conclusions : The three dimensions, as well as the volume of endometrial cancer, obtained by TVS, are significantly higher in subjects with > 50% myometrial invasion; there is also a significantly higher frequency of EC diameter greater than 2 cm in the group of subjects with > 50% myometrial invasion.

Digital credentials represent a cornerstone of digital identity on the Internet. To achieve privacy, certain functionalities in credentials should be implemented. One is selective disclosure, which allows users to disclose only the claims or attributes they want. This paper presents a novel approach to selective disclosure that combines Merkle hash trees and Boneh-Lynn-Shacham (BLS) signatures. Combining these approaches, we achieve selective disclosure of claims in a single credential and creation of a verifiable presentation containing selectively disclosed claims from multiple credentials signed by different parties. Besides selective disclosure, we enable issuing credentials signed by multiple issuers using this approach.

This research investigated energy-efficient (EE) retrofit strategies for a historically and culturally significant residential building complex, located in Sarajevo, Bosnia and Herzegovina. The objective was to evaluate existing building performance and propose delicate, EE retrofit strategies while preserving the original design character. The overarching objective was to demonstrate a framework through which historically and culturally significant buildings can be investigated for EE retrofitting. Using original construction drawings and current photographs, a 3D BIM model of a typical residential building was developed for analysis and energy simulations. Next, using Revit and Insight 360 simulations, the building's response to environmental conditions was evaluated. Thermal behavior and moisture resistance performance of typical facade systems were evaluated using WINDOW, THERM, and WUFI simulations. Lastly, a full-building energy model was developed in IES-VE software to simulate full-building performance. Results showed that while the conceptualization of this neighborhood paid careful attention to social and environmental factors and had implemented some of the most advanced passive and active technologies of that time, a typical residential building generally underperformed in all evaluated criteria. The proposed retrofit strategies, focusing on improving the building enclosure and implementation of EE mechanical systems, achieved 53% energy-use reduction and elimination of fossil-fuel energy sources.

Extraosseous Ewing's sarcoma is extremely rare in the soft tissues of the neck, especially in the sternocleidomastoid muscle. It usually manifests clinically as a rapidly growing mass that shows great potential for local spread. The aim of this paper is to present a rare case of еxtraosseous Ewing's sarcoma in the sternocleidomastoid muscle. To the best of our knowledge, this is the first case of extraskeletal Ewing's sarcoma at this location. The patient was admitted to our clinic because of a neck tumefaction. The computerized tomography finding showed a tumor mass, most of which was in the V region of the neck, measuring 40 × 27 × 35 mm. Pathohistological and immunohistochemical findings showed that it was Ewing's sarcoma. Unfortunately, the patient passed away nine months after the initial diagnosis. Extraosseous Ewing sarcoma is a rare, fast-growing malignant tumor manifesting histomorphological similarities to bone Ewing's sarcoma. Most reports state that extraosseous Ewing sarcoma has a worse prognosis than skeletal. Extraosseous Ewing sarcoma should be borne in mind in the differential diagnosis of soft tissue tumors of the neck.

Abstract Objective  This study investigated biomechanical behavior of custom post core made of six different materials on the tooth with and without the ferrule under different occlusal load. Materials and Methods  Three-dimensional models of mandibular first premolar, with and without ferrule, reconstructed from micro-computed tomography image are restored with different custom post core and zirconia crowns. By using the finite element analysis, von Mises stress shown in MPa was measured under simulated axial and oblique load of 200 [N]. To compare the stress distribution, six different custom post core materials were chosen: zirconia, Ni-Cr alloy, gold alloy, glass fiber-polyether ether ketone, polyether ether ketone, and carbon fiber-polyether ether ketone. Results  Custom post cores with a higher modulus of elasticity showed higher measured stress in the posts, but less stress in dentin. Measured stress in custom post core under oblique loading was approximately three times higher compared with axial loading. Stress in custom post core and in dentin under both types of loads was slightly higher in teeth without ferrule effect. Conclusion  The use of custom cast post cores made of different alloys is recommended in restoration of endodontically treated teeth, with extensive loss of tooth structure especially in teeth without ferrule effect.

This study delves into the intersection of music and machine learning, examining the performance of five algorithms—Logistic Regression, Random Forest, Decision Tree, Support Vector Machine, and K-Nearest Neighbours—in sentiment analysis for music. The goal is to systematically evaluate their effectiveness in decoding and classifying the emotional content of musical compositions. The selected algorithms represent diverse computational approaches, contributing to the overarching objective of understanding the intricate emotional landscape of music. A crucial aspect of this comparative analysis involves assessing the accuracy of these machine learning models, both before and after applying feature selection techniques. This step proves critical in enhancing the predictive capabilities of the models. The observed accuracy levels exhibit a dynamic range from 57% to 67%, unveiling subtle yet noteworthy performance variations among the chosen algorithms.

This paper concentrates on the analysis of spam messages as well as processing them by using machine learning models. The result of this research allows the reader to learn about the most important characteristics of spam messages in the form of the most common pattern used, which may assist in their detection as well as prevention of any kind of loss that may occur.

This paper presents a multilevel thresholding method based on the multi-swarm particle swarm optimization with dynamic learning strategy and chaotic random inertia weight. This multilevel thresholding method is implemented using Kapur’s entropy. The performance of the presented method is validated on a set of standard test images. For each image and each considered number of threshold levels, the mean and standard deviation of Kapur’s entropy values are determined based on 30 independent applications of the thresholding method. The reported experimental results show that the presented method can be successfully applied across different images.