Ministry of Emergency Situations of the Republic of Azerbaijan

This research focuses on the synthesis and evaluation of novel bitumen additives aimed at improving the performance and durability of asphalt materials. The synthesized additives were characterized using spectroscopic and thermal analysis techniques, such as FTIR and TGA, to determine their structural and thermal properties. Modified bitumen samples were prepared by incorporating different concentrations of the synthesized additive, and their physical, mechanical, and rheological properties were investigated through penetration, softening point, ductility, flash point and dynamic shear rheometer (DSR) tests. Experimental results indicated that the additive significantly enhances the high-temperature stability, reduces temperature susceptibility, and improves the rheological performance of bitumen. Specifically, modified bitumen exhibited increased resistance to rutting, aging, and oxidative degradation compared to conventional bitumen. This improvement in bitumen performance can lead to extended pavement life, reduced maintenance costs, and enhanced sustainability in road construction.

Digital systems record data on the books we read, items we purchase, or the products we enjoy, all within their own framework for the purpose of data mining. The information to be derived from these data through data mining methods is of great importance for these systems. Data mining aims to speed up the decision-making process by uncovering hidden relationships and information in data via mathematical and statistical techniques. In this context, data mining techniques were applied to the dataset containing book votes through the use of the Apriori algorithm in this study. In this way, the relationships within the data set were identified, rules were generated, and the connections between the generated rules and user preferences were disclosed. With the application of the Apriori algorithm, rules were generated that show books associated with other books, as well as authors often liked together with other authors. The study developed rules indicating which other books a reader might enjoy based on their interest in a particular book, as well as which authors might appeal to readers who like a given author. The rules produced in the study are intended to be used in book recommendation lists and sales strategies.

In the recent years, there has been a burgeoning interest in Takotsubo syndrome (TTS), which is renowned as a specific form of reversible myocardial dysfunction. Despite the extensive literature available on TTS, clinicians still face several practical challenges associated with the diagnosis and management of this phenomenon. This potentially results in the underdiagnosis and improper management of TTS in clinical practice. The present paper, the first part (part-1) of the consensus report, aims to cover diagnostic and therapeutic challenges associated with TTS along with certain recommendations to combat these challenges.

The article provides statistical information on the damage caused to our cities and regions as a result of the enemy's rocket and artillery strikes during the Patriotic War.Risks arising during emergency situations of a military nature have been determined.Risks have been assessed in order to prevent emergencies and minimize their consequences.Protection and preventive measures have been established to deal with emergency situations of a military nature.

Ədəbiyyat təhlili göstərdi ki, neonatal skrininqin ilk proqramların nəticələri Amerika Birləşmiş Ştatlarında və Avropada yeni proqramların tətbiqinə və genişlənməsinə səbəb oldular və beləliklə 80-ci illərin sonuna yeni doğulanların skrininqi ФКУ üçün inkişaf etmiş ölkələrin əksəriyyəti üçün universal oldu. Hal-hazırda tətbiqlə bağlı xərclərin və gəlirlərin nisbətini nəzərə alaraq, ФКУ üçün neonatal skrininq bütün dünyada geniş rəğbət və əhatə qazandı. Yeni doğulanların skrininqin içtimaiyyətliliyi ABŞ-da, Böyük Britaniyada və Yaponiyada müsbət təsir göstərdi.Biz hesab edirik ki, qanda ФА toplanmasının çoxmərhələli məqsədli amilləri, yeni doğulanların skrininqin keçirilməsini tələb edən siyasət, yeni doğulanların skrininqinə ən yaxşı maliyyə dəstəyi, yeni doğulanların skrininqin içtimaiyyətliliyi, ФКУ üzrə milli tövsiyyələr, Azərbaycanda öyrənilməli, perspektivli ola bilərlər və bu bizim respubikamızda ФКУ-n yeni doğulanların skrininqi daha yaxşı inkişafı üçün bir qədər dəstək ola bilər.

Intrusion detection mechanisms, an important technology in network security, systematically track suspicious activities or patterns in a system and indicate if any events are vulnerable to an attack Incorporating, or embedding the concept of Artificial Intelligence into the detection of anomalies is justified because of the fact that it possesses special skill sets in the mold of accuracy/precision, automation, performing evaluations in real time, and self-learning (with streams of training data, of course) to bolster the efficacy with which anomaly detection is implemented.However, the paper is aimed to be a general approach which in network security that utilizes AI-techniques for anomaly prediction and detection. The suggested system leverages AI-based algorithms to analyze network traffic flow and identify patterns of anomalies.

The purpose of the study was to study the role of soil moisture in the seasonal change of biological activity, which is one of the main diagnostic indicators of soils in the Sheki-Zagatala region of Azerbaijan in 2020-2022. Studied the same relative change in spectral reflectance coefficients is observed with the change of soil moisture of biological activity. In the spring-summer and spring periods, the most total amount of amino acids was found: in mountain-meadow chernozems: in spring -13.08 mg per 10 g of soil, in summer -18.92 mg, in autumn -11.3 mg, in winter at low temperatures and excessive soil moisture, the amount of amino acids decreases to 7.81 mg, while in brown mountain forest soils it is: in spring -14.9 mg, in summer -11.91 mg, in autumn -10.89, in winter -7.52 mg. In humidity between 2-37%, the integral reflection coefficient varies from 12 to 33% and in 1% humidity in fidelity in the upper horizon reduces the integral reflection coefficient by 0.96%

This study aimed to systematically investigate the low-lying dipole states of even–even 124–134Xe isotopes using the quasiparticle random phase approximation method. Where in all the studied xenon isotopes, electric and magnetic dipole responses were clearly predicted. The calculations predict mainly a scissors mode, while the strength of weakly deformed 132, 134Xe was small compared to moderately deformed 124–130Xe isotopes, where electric dipole excitations make their own contributions as well. The obtained results are consistent with the available experimental data. Since it was not possible to experimentally determine the parity of dipole states here through a comparison of our results with the experiment, we investigated the role of electric and magnetic dipole excitations in forming the spectrum. After comparing the obtained results with the experimentally derived ones, the natures of several observed spin- and parity-unknown excitations were determined.

The excitation of pygmy dipole resonance (PDR) and giant dipole resonance (GDR) in even–even 154–164Dy isotopes is examined through quasiparticle random-phase approximation (QRPA) with the effective interactions that restore the broken translational and Galilean invariances. In each isotope, an electric response emerges by showing ample distribution at energies below and above 10 MeV. We, therefore, study the transition cross-sections and probabilities, photon strength functions, transition strengths, isospin character, and collectivity of the predicted E1 responses.