On the territory of the municipality of Bosanski Petrovac in the village of Bukovača., there is the fort on the Stražbenica hill. It is a known but unexplored locality that has been recorded in professional literature based on traces of architectural buildings, as well as movable archaeological material. To this day, it is known for its Roman coins, jewelry, fibulae, and late antique tomb and necropolis. In this context, there are accidental findings that are presented for the first time in this paper. These are coins, ceramics, horse shoes, three-edged arrows, fibulae that can be dated in a wide time interval from prehistory to late Antiquity and the early Middle Ages.

The bearers of the surname Kapičić in the Trebinje area can be followed for a whole century in three generations (1417-1525). Preserved sources represent them for a long time as road robbers operating in the northeastern area of Trebinje, controlling the Bosnian (Drina) and Nikšić roads. At the beginning of the 16th century, they participated in credit trade as debtors and were engaged in the transportation of goods from Dubrovnik to Novi Pazar, Kruševac, Niš and Sofia. The Kapičići are the people of Trebinje lord Ostoja Poznanović. The first generation is represented by Dobro (1417-1426), Dobrilo (1417-1434), Ljubiša (1421-1444), Obrad (1434) and probably Radat Kapičić (+1421). Through three generations, the family line of Dobril Kapičić is best known.

Abstract The aim of this case report is to show the advantages of the extraperitoneal cesarean section (ECS) approach in a pregnant patient with multiple previous abdominal transperitoneal colon surgeries and Crohn’s disease. A pregnant nulliparous woman with Crohn’s disease was admitted for delivery. After delivery, a large rupture and lesion of the rectum was observed. Suturing of the vagina, rectum and sphincter was performed by an abdominal surgeon. Because of a very large and irregularly shaped rectum rupture, the patient underwent infraumbilical medial laparotomy and sigmoidostomy. After 18 months, the patient started to experience vaginal discharge and Y-shaped rectovaginal fistula was confirmed. Surgical reconstruction was performed. The patient’s second pregnancy began one year later. At 38 weeks of pregnancy, elective extraperitoneal cesarean section was performed. A healthy newborn was delivered. Follow-up showed full and fast recovery after the ECS. In cases of pregnant women who have had multiple colon surgeries, gynecology surgeons can choose to perform an ECS to avoid transperitoneal entrance into the abdomen. ECS avoids lysis of postoperative adhesions after repetitive gastrointestinal surgeries, the formation of new adhesions by lysis of the old adhesions, and most importantly, the possibility of colon or small intestine lesions during lysis of dense or firm adhesions.

Abstract Objective The primary objectives of this study were to 1) investigate the internal consistency 2) and construct validity of the Short Musculoskeletal Function Assessment Questionnaire (SMFA) in older adults commencing physical rehabilitation in an outpatient setting. Methods This cross-sectional study recruited older adults who had commenced physical rehabilitation in an outpatient setting. The SMFA consists of two indices: 1) dysfunction capturing the impact of musculoskeletal disorders on physical limitations, and 2) bothering capturing how the individual is emotionally affected by their disorder. SMFA holds four categories: ‘mobility’, ‘daily activities’, ‘emotional status’, and ‘function of the arm and hand’. Participants answered the SMFA alongside other patient-reported questionnaires (such as the 36-Item Short Form Survey, SF-36) and similar) and objectively measured muscle strength for the upper and lower body and functional capacity. Results We included 115 older adults with a median age of 74 years (IQR 9). Adequate internal consistency was seen with Cronbach’s alpha values of 0.90–0.94 for the SMFA indices and 0.77–0.91 for the SMFA categories. The strongest correlations between the SMFA indices were observed with the SF-36 physical component summary (SMFA-Dysfunction r = 0.74, p < 0.05, SMFA-Bother r = 0.72, p < 0.05). Only fair correlations were found between SMFA index scores and clinical outcome measures. Discussion This study demonstrated that the SMFA has adequate internal consistency and construct validity for self-reported health status in older adults, especially when considering components covering physical health status. However, we only observed fair correlations between SMFA and clinical outcome measures, indicating that SMFA does not adequately capture muscle strength and functional capacity.

The critical examination in this paper should point to a shift in a perspective in understanding musique concrète (concrete music) in relation to its historical evaluation, viewing it as a music of technology. The paper is based on the hypothesis that each technology in its materiality and functionality shapes the outcomes that arise from it, which is ultimately aimed at looking for the ‘human’ in the ‘composer-technology’ dichotomy. That is where the reshaping of the musical experience takes place. But it should be noted that the technology share will be questioned through only a few aspects of concrete music, which is why there is an open possibility for further research problems.

Abstract Background In the last three decades, both medical and sports science professionals have recognized the considerable potential of digital-based interventions (DBI) to enhance the health-related outcomes of their practitioners. Objectives This study aimed to investigate the effectiveness and potential moderators of DBI on measures of muscular strength. Methods Six databases (PubMed/MEDLINE, Web of Science, SportDiscus, Embase, Cochrane Register of Controlled Trials and Google Scholar) were searched for eligible studies up to June 2022. The GRADE, PEDRO, and TIDieR checklists were used to assess the quality of evidence, methodology, and completeness of intervention descriptions, respectively. Results A total of 56 studies were included in the meta-analysis (n = 2346), and participants were classified as healthy (n = 918), stroke survivors (n = 572), diagnosed with other neurological disorders (n = 683), and frail (n = 173). The DBI showed a small effect (standardized mean difference [SMD] = 0.28, 95% CI 0.21 to 0.31; p < 0.001) on strength, regardless of the type of intervention, control group, or tested body part. More specifically, while splitting the studies into different subgroups, a meta-analysis of 19 studies (n = 918) showed a small effect (SMD = 0.38, 95% CI 0.12 to 0.63; p = 0.003) on strength in the asymptomatic population. Similarly, small but positive effects of DBI were observed for stroke survivors (SMD = 0.34, 95% CI 0.13 to 0.56; p = 0.002), patients diagnosed with other neurological disorders (SMD = 0.17, 95% CI 0.03 to 0.32; p = 0.021), and the frail population (SMD = 0.25, 95% CI 0.0 to 0.5; p = 0.051). Sub-group analysis and meta-regression revealed that neither variable modified the effects of the DBI on measures of strength. Conclusions Overall, DBI may serve as an effective method to improve measures of strength in adults, regardless of their health status as well as the type of digital device, the presence of human-computer interaction, and the age of participants. In addition, the DBI was found to be more effective than traditional training or rehabilitation methods. KEY MESSAGES Digital-based intervention (DBI) is effective in improving measures of muscular strength in adults regardless of participants’ health status DBIs were equally effective for strength improvements in lower and upper limbs Although, DBIs were found to be effective in improving muscular strength, most studies did not follow strength training guidelines when prescribing the interventions

Scots pine (Pinus sylvestris L.) is an important forest tree species growing on different soils in Bosnia and Herzegovina. Phenological traits are relevant practical indicators of the adaptability and adaptedness of forest tree species. This research aims to determine the dates of the beginning and the end and duration of phases of bud breaking and elongation in P. sylvestris. The results will be used in the selection of best provenances for the areas with late frosts. The materials used were P. sylvestris plants in the international provenance test Kupres. The test was established in 2012 with 15 provenances (three from Austria, one from Bosnia and Herzegovina, two from Germany, three from Italy, one from Poland, one from Romania, one from Slovakia, two from Norway and one from Ukraine). Six phases were observed for bud breaking and elongation. Phase 1 (start of elongation, scales partly disjoined but still covering the young shoot) was recorded on 10 May in all provenances. Phase 5 (2 needles of the same brachyblasts are clearly distinct) first occurred on 6 June on some plants of every provenances except Bugojno (Bosnia and Herzegovina), Delytayn (Ukraine), and Ca Del Lupo (Italy). Understanding phenological phenomena of Scots pine is important since the occurrence of late spring frost can damage the plants of Scots pine in the environmental conditions of Bosnia and Herzegovina. Research should be continued and include an investigation of the influence of seasonal climate and climate changes.

Background Polysomnography (PSG) is the gold standard for detecting obstructive sleep apnea (OSA). However, this technique has many disadvantages when using it outside the hospital or for daily use. Portable monitors (PMs) aim to streamline the OSA detection process through deep learning (DL). Materials and methods We studied how to detect OSA events and calculate the apnea-hypopnea index (AHI) by using deep learning models that aim to be implemented on PMs. Several deep learning models are presented after being trained on polysomnography data from the National Sleep Research Resource (NSRR) repository. The best hyperparameters for the DL architecture are presented. In addition, emphasis is focused on model explainability techniques, concretely on Gradient-weighted Class Activation Mapping (Grad-CAM). Results The results for the best DL model are presented and analyzed. The interpretability of the DL model is also analyzed by studying the regions of the signals that are most relevant for the model to make the decision. The model that yields the best result is a one-dimensional convolutional neural network (1D-CNN) with 84.3% accuracy. Conclusion The use of PMs using machine learning techniques for detecting OSA events still has a long way to go. However, our method for developing explainable DL models demonstrates that PMs appear to be a promising alternative to PSG in the future for the detection of obstructive apnea events and the automatic calculation of AHI.

The focus of the study is on the renovation of a specific case study, which is a 19th century building under cultural heritage protection. It highlights the particular challenges faced by civil engineers in the structural renovation of buildings that are under heritage protection. Preserving the identity of these buildings limits the available methods for strengthening their seismic capacity. At the beginning, information about the seismic activity and the different post-earthquake evaluation procedures are presented to identify the damage and take appropriate further steps. Then, basic information about the building is given and supported by graphic attachments. In the following, the methods and materials are explained, focusing on in situ testing with the semi-destructive flat-jack method and the analysis of the structure with the nonlinear method implemented in the software. Subsequently, the obtained results are presented and discussed, accompanied by graphics. An approach for strengthening the structure is presented, which includes a combination of traditional methods and innovative solutions suitable for the preservation of cultural heritage. The discussion and conclusions emphasize the importance of assessing and retrofitting existing masonry structures due to their vulnerability, especially in earthquake-prone areas. Finally, this article also provides insights into the local context, cultural significance, and historical background of the building, along with the specific retrofitting solutions employed to address its unique requirements.

Artificial Intelligence (AI)-driven Digital Health (DH) systems are poised to play a critical role in the future of healthcare. In 2021, $57.2 billion was invested in DH systems around the world, recognizing the promise this concept holds for aiding in delivery and care management. DH systems traditionally include a blend of various technologies, AI, and physiological biomarkers and have shown a potential to provide support for individuals with various health conditions. Digital therapeutics (DTx) is a more specific set of technology-enabled interventions within the broader DH sphere intended to produce a measurable therapeutic effect. DTx tools can empower both patients and healthcare providers, informing the course of treatment through data-driven interventions while collecting data in real-time and potentially reducing the number of patient office visits needed. In particular, socially assistive robots (SARs), as a DTx tool, can be a beneficial asset to DH systems since data gathered from sensors onboard the robot can help identify in-home behaviors, activity patterns, and health status of patients remotely. Furthermore, linking the robotic sensor data to other DH system components, and enabling SAR to function as part of an Internet of Things (IoT) ecosystem, can create a broader picture of patient health outcomes. The main challenge with DTx, and DH systems in general, is that the sheer volume and limited oversight of different DH systems and DTxs is hindering validation efforts (from technical, clinical, system, and privacy standpoints) and consequently slowing widespread adoption of these treatment tools.

Background Chest drain management has a significant influence on postoperative recovery after robot-assisted minimally invasive esophagectomy (RAMIE). The use of chest drains increases postoperative pain by irritating intercostal nerves and hinders patients from early postoperative mobilization and recovery. To our knowledge, no study has investigated the use of two vs. one intercostal chest drains after RAMIE. Methods This retrospective cohort study evaluated patients undergoing elective RAMIE with gastric conduit pull-up and intrathoracic anastomosis. Patients were divided into two groups according to placement of one (11/2020–08/2022) or two (08/2018–11/2020) chest drains. Propensity score matching was performed in a 1:1 ratio, and the incidences of overall and pulmonary complications, drainage-associated re-interventions, radiological diagnostics, analgesic use, and length of hospital stay were compared between single drain and double drain groups. Results During the study period, 194 patients underwent RAMIE. Twenty-two patients were included after propensity score matching in the single and double chest drain group, respectively. Time until removal of the last chest drain [postoperative day (POD) 6.7 ± 4.4 vs. POD 9.4 ± 2.7, p = 0.004] and intensive care unit stay (4.2 ± 5.1 days vs. 5.3 ± 3.5 days, p = 0.01) were significantly shorter in the single drain group. Overall and pulmonary complications, drainage-associated events, re-interventions, number of diagnostic imaging, analgesic use, and length of hospital stay were comparable between both groups. Conclusion This study is the first to demonstrate the safety of single intercostal chest drain use and, at least, non-inferiority to double chest drains in terms of perioperative complications after RAMIE.

Introduction Sleep deprivation and electroconvulsive therapy (ECT) effectively ameliorate symptoms in major depressive disorder (MDD). In rodents, both are associated with an enhancement of cerebral adenosine levels, which in turn likely influence adenosinergic receptor expression. The aim of the current study was to investigate cerebral A1 adenosine receptor (A1AR) availability in patients with MDD as a potential mediating factor of antidepressant effects of ECT using [18F]CPFPX and positron emission tomography (PET). Methods Regional A1AR availability was determined before and after a series of ECT applications (mean number ± SD 10.4 ± 1.2) in 14 subjects (4 males, mean age 49.5 ± 11.8 years). Clinical outcome, measured by neuropsychological testing, and ECT parameters were correlated with changes in A1AR availability. Results ECT had a strong antidepressive effect (p < 0.01) while on average cerebral A1AR availability remained unaltered between pre-and post-ECT conditions (F = 0.65, p = 0.42, mean difference ± SD 3.93% ± 22.7%). There was no correlation between changes in clinical outcome parameters and regional A1AR availability, although individual patients showed striking bidirectional alterations of up to 30–40% in A1AR availability after ECT. Solely, for the mean seizure quality index of the applied ECTs a significant association with changes in A1AR availability was found (rs = −0.6, p = 0.02). Discussion In the present study, therapeutically effective ECT treatment did not result in coherent changes of A1AR availability after a series of ECT treatments. These findings do not exclude a potential role for cerebral A1ARs in ECT, but shift attention to rather short-termed and adaptive mechanisms during ECT-related convulsive effects.