Introduction: Anterior cruciate ligament injury is an injury that occurs in both sexes and in the population of all ages. The anterior cruciate ligament (ACL) is a very strong internal ligament of the knee, whose injuries occur frequently in athletes (professional and recreational) and after which the recovery is very long and complicated. The aim of this study is to determine the effectiveness of a standardized rehabilitation program after anterior cruciate ligament reconstruction based on the time required for rehabilitation in athletes and recreational athletes. Methods: Research is designed as prospective study. The research was conducted in Polyclinic FM Sarajevo over a period of 10 months, starting in June 2018 and ending in March 2019. The collection of data required for the study was carried out using a form prepared for the analysis of patients included in the study. Results: Thirty-six people participated in the study, divided into two groups. In the first group, 52.8% belonged to recreational athletes, while in the second group, 47.2% belonged to athletes. At the end of the study, the flexion value in both studied groups was 120º. At the end of the study, the percentage of subjects with correct extension of the injured limb was 94.7% of recreational athletes and 64.7% of athletes. Of the total number of respondents included in this study, 33% were soccer players, 14% were basketball players, and 53% were recreational athletes. Conclusion: Based on the research results, it was confirmed that early rehabilitation after the established rehabilitation treatment program is shorter in recreational athletes than in professional athletes.

We will present the possibilities of application and development, especially in the field of embedded systems, its interaction with other IoT components, the security aspects of individual components, as well as the domain of their interaction. In embedded systems, we will present new technologies such as fuzzy logic, application possibilities in embedded systems, and machine learning, as application possibilities through the implementation of machine learning. Then we will describe some more examples of the application of fuzzy logic, the automatic control of certain functions in cameras, as well as the defuzzification process, and the possibility of application in security cameras. In embedded systems, we will present the basic aspects of optimization and security, both in everyday applications and in interaction with other components of IoT technologies. The paper shows how security, reliability, and cost estimates affect the implementation phases and the final use of embedded systems, through examples of their application in industry. Security and data protection is shown through the construction of the mentioned devices, their application, but also different encryption methods, permissions, security devices at the network level, as well as implemented IoT technologies. Application examples are focused on the real segment, both in the field of transport, multimedia, design, and in the field of industrial application possibilities.

One of the key issues for concrete structures exposed to weathering, besides all other loads, is durability of concrete. The most exposed concrete structures are stadiums. Destruction mechanisms for concrete structures defined by EN 1504 are: mechanicalactions, chemical action, physical action, corrosion of reinforcement and fire. In this paper, the tests conducted on the case study stadium "Rodjeni" in the city of Mostar, are presented. The stadium consists of three grandstands, built in different periods, but with concrete of the same quality and class. North grandstand is 17 years old, west grandstand is 14 years old, and east grandstand was built in 2022. A series of in-situ tests to evaluate mechanical and durability properties were implemented, primarily on north and west grandstand. In addition to in-situ tests, laboratory tests were conducted on the same concrete, to evaluate mechanical and durability properties in laboratory conditions. These results are compared and presented in this paper.

<p>Bacterial resistance to antibiotics is a problem that arose simultaneously with the beginning of their use and on a global level represents one of the biggest threats to public health. At the beginning of the twenty-first century, the emphasis of the medical and pharmaceutical public is on Gram-negative bacteria, especially enterobacteria, which show resistance to most, and some to all, available antibiotics. Treatment of infections caused by multiresistant bacteria is a big challenge for clinicians. Although bacterial resistance to antibiotics is a global problem, resistance rates vary significantly from country to country, and when it comes to hospital pathogens, from institution to institution. Monitoring antibiotic resistance in one&rsquo;s own environment is one of the first steps in the prevention and control of infections caused by multiresistant bacteria.</p>

PLA2G6-associated neurodegeneration (PLAN) comprises three diseases with overlapping features: infantile neuroaxonal dystrophy (INAD), atypical neuroaxonal dystrophy (atypical NAD), and PLA2G6-related dystonia-parkinsonism. INAD is an early onset disease characterized by progressive loss of vision, muscular control, and mental skills. The prevalence of PLA2G6-associated diseases has not been previously calculated. To provide the most accurate prevalence estimate, we utilized two independent approaches: database-based approach which included collecting variants from ClinVar, Human Gene Mutation Database (HGMD) and high confidence predicted loss-of-function (pLoF) from gnomAD (Rare Genomes Project Genetic Prevalence Estimator; GeniE), and literature-based approach which gathered variants through Mastermind Genomic Search Engine (Genomenon, Inc). Genetic prevalence of PLAN was calculated based on allele frequencies from gnomAD, assuming Hardy–Weinberg equilibrium. In the PLA2G6 gene, our analysis found 122 pathogenic, 82 VUS, and 15 variants with conflicting interpretations (pathogenic vs VUS) between two approaches. Allele frequency was available for 58 pathogenic, 42 VUS, and 15 conflicting variants in gnomAD database. If pathogenic and/or conflicting variants are included, the overall genetic prevalence was estimated to be between 1 in 987,267 to 1 in 1,570,079 pregnancies, with the highest genetic prevalence in African/African-American (1 in 421,960 to 1 in 365,197) and East-Asian (1 in 683,978 to 1 in 190,771) populations. Our estimates highlight the significant underdiagnosis of PLA2G6-associated neurodegeneration and underscores the need for increased awareness and diagnostic efforts. Furthermore, our study revealed a higher carrier frequency of PLA2G6 variants in African and Asian populations, stressing the importance of expanded genetic sequencing in non-European populations to ensure accurate and comprehensive diagnosis. Future research should focus on confirming our findings and implementing expanded sequencing strategies to facilitate maximal and accurate diagnosis, particularly in non-European populations.

The aim of the study was to use a multi-criteria decisionmaking method to make a rational choice for a new location for the distribution centre of agricultural products in the northeastern part of Bosnia and Herzegovina, specifically in five populated areas. The required criteria were selected based on experiences from previous research in this field, and decision-makers involved in the selection were engineers and technologists from the company in question. The results indicate that the criteria of construction cost and market connectivity gained the greatest importance, and Brčko was chosen as the location for the future distribution centre among the five populated areas. Additionally, the successful application of the used multi-criteria decision-making method, in this case, the CoCoSo method, was demonstrated. This could lead to improvements in making future business decisions within this economic sector.

Background: Data suggest that food allergies greatly impact a child’s health and growth due to inadequate nutrient intake. Our study aimed to establish the long-term outcome of children with food allergies compared to a control group. Methods: This study was a retrospective cohort study with longitudinal follow-up with a mean period of 4.85 years from the diagnosis to the last study visit. The patients’ nutritional intake was assessed using a three-day food diary and analysed by a dietitian. Patients (61 boys and 33 girls, mean age 6.9 years) had a single food allergy including 21 patients with cow’s milk, 34 with egg, and 39 with peanut allergies. The control group included 36 children (19 boys and 17 girls, mean age 8.03 years). Blood analysis was performed on all participants. Results: Data from our study showed that patients with cow’s milk, egg or peanut allergies had normal growth and achieved catch-up growth from the diagnosis until the last study visit. In the cow’s milk allergy group, the allergy was shown to affect calcium intake (p < 0.05), while egg and peanut allergies did not impact the dietary intake of nutrients. None of the investigated food allergies affected blood results (p < 0.05). Conclusions: In the present study, we showed that single food allergies do not compromise growth in children if they are provided with appropriate support and that the affected children reach catch-up growth from the diagnosis.

By critically analyzing the status and differentiation of bodies and their lives, the author expands the vision of governmentality beyond the West in order to define the body beyond the pacified techno-promises of their emancipation through fragmentation, calculability and programmability. By elaborating the nature, power, and promises of dominant digital technologies and technobodies, the author conceptualizes them in relation to the shift between bio- and necropolitics/power and in relation to violence, (digital) coloniality, and racialization to which bodies are exposed. It is about the normality of violence against the Other, also in relation to the principle of separation of virtual bodies and “surplus flesh,” which increases exponentially with technological development. The author seeks to understand how we have come to the point where techno-objects are humanized, given agency, while the body and life of the Other are dehumanized, deprived of any rights. The article contextualizes and re-politicizes the shifting relations between subject and object, particularly within our forensic contemporaneity.

The current study investigates attitudes toward one form of sex for resources: the so-called sugar relationships, which often involve exchanges of resources for sex and/or companionship. The present study examined associations among attitudes toward sugar relationships and relevant variables (e.g., sex, sociosexuality, gender inequality, parasitic exposure) in 69,924 participants across 87 countries. Two self-report measures of Acceptance of Sugar Relationships (ASR) developed for younger companion providers (ASR-YWMS) and older resource providers (ASR-OMWS) were translated into 37 languages. We tested cross-sex and cross-linguistic construct equivalence, cross-cultural invariance in sex differences, and the importance of the hypothetical predictors of ASR. Both measures showed adequate psychometric properties in all languages (except the Persian version of ASR-YWMS). Results partially supported our hypotheses and were consistent with previous theoretical considerations and empirical evidence on human mating. For example, at the individual level, sociosexual orientation, traditional gender roles, and pathogen prevalence were significant predictors of both ASR-YWMS and ASR-OMWS. At the country level, gender inequality and parasite stress positively predicted the ASR-YWMS. However, being a woman negatively predicted the ASR-OMWS, but positively predicted the ASR-YWMS. At country-level, ingroup favoritism and parasite stress positively predicted the ASR-OMWS. Furthermore, significant cross-subregional differences were found in the openness to sugar relationships (both ASR-YWMS and ASR-OMWS scores) across subregions. Finally, significant differences were found between ASR-YWMS and ASR-OMWS when compared in each subregion. The ASR-YWMS was significantly higher than the ASR-OMWS in all subregions, except for Northern Africa and Western Asia. Supplementary Information The online version contains supplementary material available at 10.1007/s10508-023-02724-1.

: The paper presents the life cycle cost structure of a newly designed office building where the costs of planning, construction, operation and maintenance are analyzed for time periods of 20 and 30 years according to current market prices and reduced to net present value. The results of the life cycle cost analysis show that for a period of 20 years, the shares of initial or capital costs and operation and maintenance costs are approximately equal. For a period of 30 years, the share of capital costs is 42.6%, and the share of operation and maintenance costs is 57.4%, which exceeds capital costs. These results confirm previous research and the significance of the operation and maintenance costs, and indicate that in engineering practice in the design stage it is necessary to analyze and calculate the total costs of the life cycle of buildings for the purpose of evaluating variant solutions.

This research delves into the relatively uncharted territory of Islamic governance and its impact on strategic sustainability and climate resilience planning in Muslim-majority countries. It scrutinizes the role of religious regimes in public administration and policy-making within these nations. The study employs a case study methodology, focusing on 11 strategically chosen countries within the Islamic world, and evaluates their respective climate resilience and sustainable development objectives. Forty-five reports, plans, and government documents from 2017 to 2023 are analyzed using a two-cycle coding process facilitated by software. The paper makes three significant contributions. Firstly, it addresses the academic call for understanding the positive governance of sustainable development and resilience planning in Muslim-majority countries, specifically focusing on the role of religious regimes. Secondly, it reframes the general understanding of governance in public administration related to resilience planning in Islamic countries. Lastly, it offers an understanding of religious regimes to analyze climate resilience planning. The analysis reveals several thematic categories, each representing a different resilience and sustainability planning governance aspect. The study’s results suggest that nations with the most effective plans tend to have robust economies, comprehensive educational institutions, pluralistic societies, inclusive governments, and liberal religious regimes, all of which positively influence sustainable development and climate resilience planning.

Introduction: Computed tomography angiography (CTA) represents the gold standard as a method for the diagnosis of carotid artery diseases. The current topic is the use of CTA for the evaluation of carotid arteries with a reduction in the dose of contrast agent and dose of ionizing radiation, which, with adequate preparation, would enable the use of this method in some risk groups. The aim of this study was to evaluate the feasibility and image quality of a new low-dose CTA protocol in comparison with a standard protocol. Methods: Forty patients with recumbent ischemic stroke were included in the study, twenty of whom underwent lowdose CTA, and the remaining twenty underwent a standard CTA protocol of the carotid arteries. Results: No significant difference was found between the mean values of CT number (Hounsfield unit), signal-to-noise ratio, contrast-to-noise ratio, and subjective assessment of image quality in the comparison of the control and experimental groups. CT dose index, volume, and dose length product were significantly lower in patients who underwent lowdose carotid CTA. There was no significant difference in the degree of carotid stenosis between color Doppler and CTA. Conclusion: The use of the low-dose protocol for carotid CTA allows the application of this method in risk groups, in which it was previously not possible to perform, with the same image quality in comparison with the standard protocol.

Pruning large language models (LLMs) from the BERT family has emerged as a standard compression benchmark, and several pruning methods have been proposed for this task. The recent ``Sparsity May Cry'' (SMC) benchmark put into question the validity of all existing methods, exhibiting a more complex setup where many known pruning methods appear to fail. We revisit the question of accurate BERT-pruning during fine-tuning on downstream datasets, and propose a set of general guidelines for successful pruning, even on the challenging SMC benchmark. First, we perform a cost-vs-benefits analysis of pruning model components, such as the embeddings and the classification head; second, we provide a simple-yet-general way of scaling training, sparsification and learning rate schedules relative to the desired target sparsity; finally, we investigate the importance of proper parametrization for Knowledge Distillation in the context of LLMs. Our simple insights lead to state-of-the-art results, both on classic BERT-pruning benchmarks, as well as on the SMC benchmark, showing that even classic gradual magnitude pruning (GMP) can yield competitive results, with the right approach.

Breast cancer (BC) is one of the most common cancers among women worldwide but can also affect men. Although the detection and diagnosis of BC is advanced, there is a demand for more efficient approaches to treatment. This review summarizes the most important and latest discoveries in the diagnosis and prevention of breast cancer, using scientific discoveries done in vitro cell models, molecular and genetic markers, and data from different in silico analysis studies. Using Google Scholar and PubMed, scientific articles were searched systematically from inception to November 2023.  As search terms in this review, we used:  breast cancer, in vitro cell lines in BC, genetic and biochemical markers, and miRNA in BC. Based on the literature search, biochemical and genetic markers play essential roles in breast cancer research, whereas in vitro and silico research utilizes breast cancer cell models. Cell models are indispensable tools for the identification of potential new drugs, offering valuable findings on breast cancer growth dynamics. Molecular markers and innovative research methods not only aid in early detection but also contribute to our understanding of BC at various stages, offering treatment strategies and improving outcomes.