All processes in the production and distribution of material goods, which include material and interactive information flows, are united by the term “Logistics” and are realized within the logistics processes. Logistics processes hide large technological and economic reserves that need to be identified, located and used. At the EU level, a new philosophy of realization of quality logistics processes has been created in the past decades, and it is increasingly including the environmental aspect by introducing the term Green Logistics, which highlights the demand for a healthy environment. The level of logistics process technology is still far below the level of development of material production technology, which is the main reason for giving strategic importance to the rationalization and optimization of logistics processes at the global level in order at reducing the costs of all participants in the implementation of the process, and especially in the direction of raising the quality of services and meeting the increasingly stringent requirements of service users.

Inflammatory bowel disease (IBD) and irritable bowel syndrome (IBS) share common culprit foods and potential pathophysiological factors. However, how diet may contribute to disease course and whether this differs between both entities is unclear. We therefore investigated the association of dietary indices with intestinal inflammation and gastrointestinal symptoms in both IBD and IBS patients. Food frequency questionnaires from 238 IBD, 261 IBS and 195 healthy controls (HC) were available to calculate the overall diet quality by the Dutch Healthy Diet-Index 2015 (DHD-2015) and its inflammatory potential by the Adapted Dietary Inflammatory Index (ADII). Intestinal inflammation and symptoms were evaluated by faecal calprotectin and the Gastrointestinal Symptom Rating Scale, respectively. The DHD-2015 was lower in IBD and IBS versus HC (p < 0.001), being associated with calprotectin levels in IBD (b = −4.009, p = 0.006), and with abdominal pain (b = −0.012, p = 0.023) and reflux syndrome (b = −0.016, p = 0.004) in IBS. ADII scores were comparable between groups and were only associated with abdominal pain in IBD (b = 0.194, p = 0.004). In this side-by-side comparison, we found a lower diet quality that was differentially associated with disease characteristics in IBD versus IBS patients. Longitudinal studies are needed to further investigate the role of dietary factors in the development of flares and predominant symptoms.

Endometriosis is a common gynecological hurting disorder in which tissue is similar to the tissue that normally lines the inner layer of the uterus. It often causes fertility problems. Unfortunately, effective treatments are limited. Therefore it's important to explore an imperative and easily accessible treatment to alleviate the probable pathologies and preserve fertility in endometriosis. Consequently, we aimed to investigate the effects of metformin, letrozole, and atorvastatin on inflammation and apoptosis in experimentally induced ovarian and peritoneal endometriosis in rat models. In the present study, 35 rats were randomly divided into five groups. Group 1: sham-operated control group. Group 2: untreated endometriosis group. Group 3: given 100 mg/kg/day of oral metformin. Group 4: given 0.1 mg/kg/day of oral letrozole. Group 5: given 2.5 mg/kg/day of oral atorvastatin. At the end of the 28 days, we examined Ki67, Bax and Bcl-2 immunoexpressions in ovarian and peritoneal tissues, and IL-6, IL-8, and TNF-α levels were evaluated from the peritoneal fluid. All medical treatment groups showed a significant decrease in Ki67 expression. A significant increase in Bax expression was also observed in all samples from all medical treatment groups (other than the untreated endometriosis groups). Further, a significant decrease in Bcl-2 expression was found in all medical treatment groups. IL-6, IL-8, and TNF-α levels were significantly lower in all medical treatment groups than in the endometriosis groups. In conclusion; Metformin, letrozole, and atorvastatin showed apoptosis induction and anti-inflammatory effects on both ovarian and peritoneal endometriosis in experimental models.

Genomic data leaks are irreversible. Leaked DNA cannot be changed, stays disclosed indefinitely, and affects the owner's family members as well. The recent large-scale genomic data collections [1], [2] render the traditional privacy protection mechanisms, like the Health Insurance Portability and Accountability Act (HIPAA), inadequate for protection against the novel security attacks [3]. On the other hand, data access restrictions hinder important clinical research that requires large datasets to operate [4]. These concerns can be naturally addressed by the employment of privacy-enhancing technologies, such as a secure multiparty computation (MPC) [5]–[10]. Secure MPC enables computation on data without disclosing the data itself by dividing the data and computation between multiple computing parties in a distributed manner to prevent individual computing parties from accessing raw data. MPC systems are being increasingly adopted in fields that operate on sensitive datasets [11]–[13], such as computational genomics and biomedical research [14]–[22].

Monitoring a microservice system may bring a lot of benefits to development teams such as early detection of run-time errors and various performance anomalies. In this study, we explore deep learning (DL) solutions for detection of anomalous system’s behavior based on collected monitoring data that consists of applications’ and systems’ performance metrics. The study is conducted in a collaboration with a Swedish company responsible for ticket and payment management in public transportation. Moreover, we specifically address a shortage of approaches for evaluating DL models without any ground truth data. Hence, we propose a solution design for anomaly detection and reporting alerts inspired by state-of-the-art DL solutions. Furthermore, we propose a plan for its in-context implementation and evaluation empowered by feedback from the development team. Through continuous feedback from development, the labeled data is generated and used for optimization of the DL model. In this way, a microservice system may leverage DL solutions to address rising challenges within its architecture. CCS CONCEPTS • Software and its engineering → Software post-development issues; • Information systems → Data mining; Computing platforms; • Computing methodologies → Machine learning.

The development of information society and broadband Internet is key indicators of social and economic change. They transform the way companies, political systems, and citizens communicate with each other. Today, we talk about various regional and national initiatives to first stabilize and then improve the economies of countries through the development of the Internet and information society. The European Union has recognized information technology as a major factor influencing economic growth and innovation. Among the seven flagship initiatives of the Europe 2020 economic strategy is the Digital Agenda for Europe. This shows the importance that information technologies have in the development of the modern economy. In this paper, we analyze the current state of development of the information society and broadband Internet access in Bosnia and Herzegovina. We highlight the necessity of considering mechanisms for the development of broadband access. We analyzed the current situation and progress in the implementation of the Digital Agenda guidelines in EU countries. The aim of this research is to highlight the advantages of using EU strategic guidelines to improve and develop the current situation in the field of broadband Internet in Bosnia and Herzegovina