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ქართული ნაგაზის თავის ტვინის ზოგიერთი ნერვის მორფოლოგია
No full textOn the material of five carcasses of Georgian shepherds (10 preparations) by V.P. Vorobyov\u27s well-known method of macro-micro preparation, we studied the anatomy of the lingual nerve of the Trigeminal nerve, the tympani cord of the Facial nerve, and the lingual branches of the Glossopharyngeal nerve on both the right and left sides of the preparation. In addition, the anatomy of the Oculomotor, Trochlear and Abducens nerves was studied. In addition, the connections of some nerves were revealed, for example, the lingual nerve establishes a connection with the tympani cord (branch of the VII-th pair of cranial nerves). The oculomotor nerve is connected to the parasympathetic nervous system through the ciliary ganglion.ქართული ნაგაზის ხუთი ლეშის მასალაზე (10 პრეპარატი) ვ.პ. ვორობიოვის მაკრო-მიკრო პრეპარირების ცნობილი მეთოდით, პრეპარატის როგორც მარჯვენა, ისე მარცხენა მხარეზე შევისწავლეთ სამწვერა ნერვის ენის ნერვი, სახის ნერვის დაფის სიმი და ენა-ხახის ნერვის ენის ტოტების ანატომია.გარდა ამისა შესწავლილია თვალის მამოძრავებელი, ჭაღისებრი და გამზიდველი ნერვების ანატომია. ამასთან ერთად გამოვლენილია ზიგიერთი ნერვის კავშირები, ასე მაგალითად,ენის ნერვი ამყარებს კავშირს დაფის სიმთან (თავის ტვინის მე-VII წყვილის ნერვის ტოტი).თვალის მამოძრავებელი ნერვი დაკავშირებულია პარასიმპატიკურ ნერვულ სისტემასთან წამწამოვანი კვანძის მეშვეობით
მენეჯმენტში რბილი უნარები ხელოვნური ინტელექტის გამოყენებით
No full textThis research investigates the effectiveness of Artificial Intelligence (AI) technologies in developing managers\u27 soft skills. The study employed a mixed methodology approach involving 150 managers from various industries. The research included online surveys, in-depth interviews, case studies, and a controlled experiment.
Results demonstrated significant positive impact of AI tools on soft skills development: 78% of respondents reported improvement in communication skills, 82% in decision-making processes, and 71% in conflict resolution abilities. AI-based simulations proved most effective (85%), particularly for developing conflict resolution and negotiation skills.
The study revealed challenges including privacy concerns (68%), risk of over-dependence on technology (57%), and difficulties in measuring ROI (72%). At the organizational level, AI implementation resulted in 27% increase in employee engagement, 31% improvement in retention rates, and 23% productivity growth.
The research resulted in recommendations for organizations, including developing strategic approaches, investing in AI simulations, creating balanced methodologies, and establishing ethical usage policies. The study concludes that while AI represents a powerful tool for enhancing managerial soft skills, it should complement rather than replace human interaction, particularly in areas requiring empathy and emotional intelligence.წინამდებარე კვლევა შეისწავლის ხელოვნური ინტელექტის (AI) ტექნოლოგიების ეფექტურობას მენეჯერების რბილი უნარების განვითარებაში. კვლევაში გამოყენებულია შერეული მეთოდოლოგია, რომელშიც მონაწილეობდა 150 მენეჯერი სხვადასხვა დარგიდან. კვლევა მოიცავდა ონლაინ გამოკითხვას, ჩაღრმავებულ ინტერვიუებს, შემთხვევების შესწავლას და კონტროლირებად ექსპერიმენტს.
შედეგებმა აჩვენა, რომ AI ინსტრუმენტებს აქვთ მნიშვნელოვანი დადებითი გავლენა რბილი უნარების განვითარებაზე: 78% რესპონდენტმა აღნიშნა კომუნიკაციის უნარების გაუმჯობესება, 82%-მა - გადაწყვეტილების მიღების გაუმჯობესება, 71%-მა - კონფლიქტების მოგვარების უნარების განვითარება. AI-ზე დაფუძნებული სიმულაციები აღმოჩნდა ყველაზე ეფექტური (85%), განსაკუთრებით კონფლიქტების მოგვარებისა და მოლაპარაკების უნარების განვითარებისთვის.
კვლევამ გამოავლინა გამოწვევებიც: კონფიდენციალურობის საკითხები (68%), ტექნოლოგიაზე ზედმეტი დამოკიდებულების რისკი (57%) და ROI-ის გაზომვის სირთულე (72%). ორგანიზაციულ დონეზე AI-ის დანერგვამ განაპირობა თანამშრომლების ჩართულობის 27%-იანი ზრდა, შენარჩუნების 31%-იანი გაუმჯობესება და პროდუქტიულობის 23%-იანი ზრდა.
კვლევის შედეგად შემუშავდა რეკომენდაციები ორგანიზაციებისთვის, რომლებიც მოიცავს სტრატეგიული მიდგომის შემუშავებას, AI სიმულაციებში ინვესტიციას, ბალანსირებული მიდგომის შექმნას და ეთიკური გამოყენების პოლიტიკის განვითარებას
ინდივიდუალური (კერძო) დაზღვევის როლი სახელმწიფო ხარჯების ოპტიმიზაციაში: გამოწვევები და შესაძლებლობები
No full textThe article “The Role of Individual” (Private) Insurance in Optimizing Public Expenditures: Challenges and Opportunities” discusses the existing problems in private insurance, the reduction of public spending, and possible improvement strategies that could impact the state budget and enable the most sufficient use of resources. Therefore, we believe the topic is highly relevant.
The paper addresses the current reality and future prospects that could be implemented to strengthen individual insurance, which in turn would influence budget optimization. A study was conducted, and its results are presented and analyzed, providing insights into existing market problems and potential solutions. These findings can significantly contribute to optimizing public budget expenditures. We believe attention should be focused on the existing problems, which inevitably come to the fore. The article presents the authors’ opinions and recommendations, viewed through the lens of researchers. Implementing these in practice would assist the field in carrying out its activities more effectively.სატატიაში „ინდივიდუალური (კერძო) დაზღვევის როლი სახელმწიფო ხარჯების ოპტიმიზაციაში: გამოწვევები და შესაძლებლობები“ საუბარია კერძო დაზღვევაში არსებულ პრობლემებზე, სახელმწიფო ხარჯების შემცირებასა და შესაძლო გაუნჯობესების გზებზე, რომელიც გავლენას იქონიებს სახელმწიფო ბიუჯეტზე და მოახდენს რესურსების მაქსიმალურად ეფექტური გამოყენების შესაძლებლობას. ამდენად ვფიქრობთ, რომ თემა აქტუალურია.
ნაშრომში საუბარია, არსებულ რეალობაზე და სამომავლო პერსპექტივებზე, რომელიც შესაძლებელია განხორციელდეს ინდივიდუალური დაზღვევის გასაძლიერებლათ,რომელიც გავლენას ახდენს ბიუჯეტის ოპტიმიზაციაში. ჩატარდა კვლევა და მოცემულია კვლევის შედეგები, რომლის ანალიზი წარმოდგენას იძლევა ბაზარზე არსებულ პრობლემებზე და პრობლემების გადაჭრის შესაძლო გზებზე, რაც მნიშვნელოვნად ხელს შეუწყობს სახელმწიფო ბიუჯეტის ხარჯების ოპტიმიზაციას. ვფიქრობთ არსებულ პრობლემებზე უნდა გამახვილდეს ყურადღება, რომელიც აუცილებლად იჩენს თავს.
სტატიაში მოცემულია ავტორთა მოსაზრებები და რჩევები, რომელიც დანახულია მეცნიერთა თვალთახედვით და მისი პრაქტიკაში განხორციელება დაეხმარება დარგს საქმიანობის ეფექტურად წარმართვაში
გამხსნელის ბუნების გავლენის კვლევა პოლიეთერსულფონური მემბრანის წარმადობაზე
No full textThe influence of solvents dimethylformamide (DMF), dimethylacetamide (DMAc), dimethyl sulfoxide (DMSO) on the morphology and specific productivity of membranes made on the basis of polyethersulfone (PES 5900) was studied. Polyvinylpyrrolidone (PVP) is used as a pore-forming agent, which increases the hydrophilicity of the membrane and plays an important role in regulating various properties of the resulting polymer membrane. It is shown that membranes with different surface structure and specific productivity depending on the physicochemical nature of the selected solvents, the difference in the solubility parameters of the polymer, solvent and non-solvent. During the coagulation process, the low affinity of DMSO for PES and the high affinity for water lead to increased interaction between the solvent and non-solvent and ensure an optimal coagulation rate during the phase inversion process. Microfiltration membranes in the pore size range of 0.24-0.9 µm were obtained and tested on a laboratory setup created at the institute. In the case of using DMSO as a solvent, high-performance membranes (2184 l/m2 h) were obtained, which is 47.16% and 44.13% higher than the productivity of membranes obtained from PES/DMF/water and PES/DMAc/water systems, respectively. The process of PES dissolution was monitored using a polarization interference microscope (Biolar). The particle size, concentration and dispersion index in solutions were studied by dynamic light scattering (Zetasizer Nano Zen3690, Malvern Instruments), the structure and morphology of the membranes were studied by scanning probe (tunneling) microscopy (Certus Standard V, Nano Can Technologies).
შესწავლილია გამხსნელების დიმეთილფორმამიდის (DMF), დიმეთილაცეტამიდის (DMAc), დიმეთილსულფოქსიდის (DMSO) გავლენა პოლიეთერსულფონის (PES 5900) ბაზაზე დამზადებული მემბრანების მორფოლოგიასა და ხვედრით წარმადობაზე. ფორწარმომქმნელ აგენტად გამოყენებული იქნა პოლივინილპიროლიდონი (PVP), რომელიც ამაღლებს მემბრანის ჰიდროფილურობას და მნიშვნელოვანი როლი შეასრულა მიღებული პოლიმერული მემბრანის სხვადასხვა თვისების რეგულირებაში. ნაჩვენები იქნა, რომ განსხვავებული ზედაპირის სტრუქტურისა და ხვედრითი წარმადობის მქონე მემბრანები, რაც დამოკიდებულია შერჩეული გამხსნელების ფიზიკურ-ქიმიური ბუნებაზე, პოლიმერს, გამხსნელს და არაგამხსნელს შორის ხსნადობის პარამეტრების სხვაობით. კოაგულაციის პროცესში, DMSO-ს დაბალი აფინურობა PES-ის მიმართ და მაღალი აფინურობა წყლის მიმართ განაპირობებს გამხსნელსა და არაგამხსნელს შორის ურთიერთქმედების გაძლიერებას და უზრუნველყოფს ფაზური ინვერსიის პროცესში კოაგულაციის ოპტიმალურ სიჩქარეს. მიღებული იქნა მიკროფილტრაციული მემბრანები 0,24-0,9 მკმ ფორის ზომის დიაპაზონში, რომელთა ტესტირება ტარდებოდა ინსტიტუტში შექმნილ ლაბორატორიულ დანადგარზე. გამხსნელად DMSO-ის გამოყენების შემთხვევაში, მიიღება მაღალი წარმადობის მემბრანები (2184ლ/მ სთ), რომელიც 47.16% და 44.13%-ით აღემატება შესაბამისად PES/DMF/წყალი და PES/DMAc/წყალი სისტემიდან მიღებული მემბრანების წარმადობას. PES გახსნის პროცესის მონიტორინგი ხორციელდებოდა პოლარიზაციულ-ინტერფერენციული მიკროსკოპით (Biolar). ხსნარებში ნაწილაკების ზომა, კონცენტრაცია და დისპერსიულობის ინდექსი შესწავლილი იქნა სინათლის გაბნევის დინამიური მეთოდით (Zetasizer Nano Zen3690, Malvern Instruments), მემბრანების სტრუქტურა და მორფოლოგია მასკანირებელი ზონდური (ტუნელური) მიკროსკოპით (Certus Standard V, Nano Can Technologies)
THE SCIENTIFIC DISCUSSION OF KEY ISSUE ASPECTS OF IMMUNOPATHOGENESIS AND PHARMACOLOGICAL PROPERTIES AND PROFILES IN RELATION TO ADVERSE DRUG REACTIONS CHALLENGES, FOCUS ON MULTIDIMENSIONAL DRUG-INDUCED EOSINOPHILIA AND SYSTEMIC SYNDROME
No full textDrug-induced eosinophilia and systemic symptoms (DIES) represent a complex and potentially life-threatening spectrum of adverse drug reactions characterized by eosinophilic infiltration and multiorgan involvement. This review synthesizes current knowledge on the pharmacological, immunological, and clinical aspects of these reactions, with particular emphasis on severe manifestations such as drug reaction with eosinophilia and systemic symptoms (DRESS). We examine the mechanisms by which specific drug classes—including aromatic antiepileptics, antibiotics, and novel biologics—trigger eosinophil activation through hapten formation, direct T-cell stimulation, and cytokine release. Genetic predispositions, particularly HLA associations, and viral interactions (e.g., HHV-6 reactivation) are discussed as critical modulators of individual susceptibility and clinical severity. Recent advances in biomarker discovery (e.g., serum Siglec-8, eosinophil-derived extracellular traps) and imaging modalities (e.g., 68Ga-FAPI PET/CT) are evaluated for their diagnostic and prognostic utility. The review highlights emerging therapeutic strategies, including targeted biologics against IL-5/IL-33 and pharmacogenomic approaches to prevention, while underscoring persistent challenges in management, such as corticosteroid dependence and long-term sequelae. By integrating mechanistic insights with clinical observations, this work aims to refine diagnostic criteria, optimize therapeutic decision-making, and identify future research directions to mitigate the burden of these iatrogenic complications. Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) is an uncommon yet serious adverse drug reaction that presents with delayed systemic inflammation and multiple organ involvement. It is a member of the spectrum of severe cutaneous adverse reactions (SCAR), usually presenting 2–8 weeks post initiation of the culprit drug. Nonspecific symptoms, latency, and overlapping clinical findings with infections, autoimmune diseases, and other hypersensitivity reactions contribute to a failure to diagnose syndrome and worsening morbidity. The objective of this thesis is to conduct a comprehensive systematic review with emphasis on the pharmacological characteristics, clinical presentation, and genetic risk factors of DRESS syndrome, as well as a range of pathological drug classes, including anticonvulsants, antibiotics, allopurinol, and nonsteroidal anti-inflammatories (NSAIDs). The article also discusses treatment, long-term prognosis and research directions. The leading alternative agents were anticonvulsants (e.g., carbamazepine, phenytoin, lamotrigine), antibiotics (e.g., vancomycin, minocycline), allopurinol, and NSAIDs including mefenamic acid and ibuprofen. More than 60 % of cases had hepatic involvement; involvement of the kidneys (25 %) and the lungs (10–15 %) were also important. Nearly all patients presented with cutaneous findings, most commonly a diffuse morbilliform rash and facial edema, and frequently had fever and eosinophilia. Genetic predisposition is an important factor, with HLA-B58:01 allele in the context of allopurinol-induced DRESS, and HLA-A31:01 in the case of carbamazepine. These results emphasize the value of pharmacogenetic screening in high-risk population groups. Viral reactivation, including human herpesvirus-6 (HHV-6), had been observed in multiple patients and has contributed to overall disease severity and duration. Therapy consisted mainly in early discontinuation of the inducing agent and systemic corticosteroids. Although the majority of patients responded to corticosteroids, some became steroid resistant and were treated with medications such as cyclosporine, IVIG, and plasmapheresis. There is a lack of standardized treatment protocols, and randomized controlled trials are highly desired. Relapses during corticosteroid reduction or autoimmunity (type 1 diabetes, thyroiditis, lupus-like syndromes) occurred in some, but not in all patients. Multisystem DRESS syndrome mandates a high degree of clinical suspicion for early diagnosis and treatment. The underestimation of NSAID-induced DRESS emphasises the necessity for better pharmacovigilance tools and public awareness on OTC drug safety. Future advances would need to focus on the creation of general diagnostic criteria, useful biomarkers for early diagnosis, and the use of evidence-based algorithms for treatment. 
THE SCIENTIFICIC TALKS OF COMPREHENSIVE ANALYSIS OF PHARMACOGENETIC AND PATIENT-CENTERED CARE APPROACHES ON MEDICATION-INDUCED ADVERSE EFFECTS AND TOXICITIES, PHARMACOVIGILANCE CHALLENGES, IMPLICATED DRUGS, UNDERLYING DETERMINANTS OF RISK, AND STRATEGIC APPROACHES TO PHARMACOTHERAPEUTIC MANAGEMENT
No full textThe integration of pharmacogenetics into modern clinical practice has revolutionized the understanding of medication-induced adverse effects and toxicities, enabling a shift toward personalized medicine. This comprehensive analysis explores the intricate interplay between genetic variations and clinical outcomes associated with adverse drug reactions (ADRs), particularly focusing on severe and unpredictable toxicities that significantly compromise therapeutic efficacy and patient safety. The central premise of this discourse lies in decoding how interindividual genetic differences influence drug metabolism, immune responses, and receptor sensitivity, which collectively contribute to variable drug responses and susceptibility to adverse effects. These responses, when coupled with inadequate pharmacovigilance systems and a limited understanding of at-risk populations, pose a profound challenge to global public health and regulatory bodies tasked with ensuring medication safety. Pharmacogenetic markers, such as polymorphisms in cytochrome P450 enzymes, HLA alleles, drug transporters, and metabolic enzymes, have emerged as critical determinants of drug toxicity and efficacy. Variants such as HLA-B57:01 in abacavir hypersensitivity and HLA-B15:02 in carbamazepine-induced Stevens-Johnson syndrome exemplify the predictive potential of genetic screening in minimizing life-threatening ADRs. Despite these scientific breakthroughs, clinical implementation remains inconsistent due to gaps in awareness, limited access to genotyping tools, and the absence of standardized clinical decision support systems. The translation of pharmacogenetic data into actionable clinical strategies is further hindered by complex gene–drug–environment interactions, which necessitate robust, multidimensional frameworks for accurate risk prediction. In addition to genetic predisposition, the clinical spectrum of medication-induced toxicities is shaped by multiple contextual risk factors, including age, sex, comorbid conditions, organ function, polypharmacy, nutritional status, and drug-drug or drug-disease interactions. Elderly populations, pediatric patients, and individuals with hepatic or renal impairment exhibit altered pharmacokinetics and pharmacodynamics, which amplify the risk of dose-dependent and idiosyncratic reactions. These vulnerable subgroups are often underrepresented in clinical trials, thereby limiting the generalizability of safety data and delaying the detection of rare or long-term toxicities. Moreover, the widespread off-label use of medications, particularly in oncology, psychiatry, and infectious disease therapy, contributes to unanticipated adverse events that may not be captured in pre-approval safety assessments. A significant dimension of this analysis pertains to the systemic challenges faced by pharmacovigilance programs in identifying, reporting, and managing medication-related toxicities. Despite advancements in digital health technologies and electronic health records, underreporting of ADRs remains a persistent obstacle, attributed to clinician workload, lack of training, and fear of legal implications. Many developing countries operate under resource-constrained pharmacovigilance infrastructures, lacking the capacity for active surveillance, real-time data integration, and signal detection analytics. This deficiency delays regulatory actions, compromises patient outcomes, and perpetuates preventable harm. Furthermore, the growing complexity of biologics, biosimilars, and gene therapies presents novel safety concerns that exceed the capabilities of traditional monitoring systems and demand adaptive, predictive, and machine-learning-driven approaches. The global burden of drug-induced adverse effects necessitates a re-evaluation of current pharmacotherapeutic paradigms, with a focus on preemptive risk stratification and individualized treatment strategies. This includes the incorporation of pharmacogenetic testing in routine care pathways, especially for high-risk drugs with narrow therapeutic indices or known immunogenic potential. Strategic integration of genomic data with clinical phenotypes and real-world evidence offers unprecedented opportunities for precision prescribing and early toxicity mitigation. However, this requires interdisciplinary collaboration among geneticists, clinical pharmacologists, toxicologists, data scientists, and healthcare professionals, underpinned by supportive policy frameworks and patient-centered education initiatives. This review also synthesizes existing knowledge on drug classes most frequently implicated in severe ADRs and toxicities, including antiepileptics, antimicrobials, antineoplastics, immunomodulators, and antipsychotics. Each of these pharmacologic groups demonstrates unique toxicity profiles influenced by both genetic and nongenetic mechanisms. For instance, flucloxacillin-induced liver injury, methotrexate-associated mucosal and hematologic toxicity, and clozapine-induced agranulocytosis illustrate how drug-specific adverse events can lead to substantial morbidity and mortality. Finally, the strategic management of medication-induced toxicities calls for a multifaceted approach encompassing early recognition, immediate intervention, longitudinal follow-up, and patient empowerment. Therapeutic strategies may involve drug withdrawal, substitution with safer alternatives, immunosuppressive therapy in hypersensitivity syndromes, supportive care, and desensitization protocols where appropriate. Clinical decision-making must be informed by timely diagnostic evaluations, including blood counts, liver and renal function tests, skin biopsies, and pharmacogenetic assays. Equally critical is the need to strengthen healthcare systems’ capacity to deliver pharmacovigilance education, establish multidisciplinary ADR committees, and develop national and international safety databases that promote transparent information exchange. This comprehensive investigation underscores the critical importance of integrating pharmacogenetic insights with clinical risk assessment to effectively manage medication-induced adverse effects and toxicities. As healthcare systems move toward precision medicine and individualized care, the harmonization of pharmacovigilance practices, regulatory reforms, and patient-centric education becomes paramount. Only through a concerted global effort—uniting scientific, clinical, and technological advances—can we hope to reduce the incidence and burden of drug-related toxicities, optimize therapeutic outcomes, and safeguard public health in the era of increasingly complex pharmacotherapy
Transformation of Social Spaces: International Labor Migration from Georgia
No full textThe concept of space has a multifaceted meaning in geographical science, ranging from the physical location of a place to its political, socio-economic and cultural dimensions. Migration creates new social space while transforming the social, economic, political, institutional, psychological or physical environment. Our research aims to explore how international mobility transforms and restructures the social spaces of Georgian labor migrants at their immigration destination. This change has been examined across multiple dimensions: the socio-economic transformation and economic disparity, migration trends and patterns, transnational connections and social networks, household structure and gender roles, as well as cultural, linguistic, ethnic, religious and institutional affiliation. The primary objective is to determine the types of spaces that can emerge because of Georgian labor migration, considering it as a dynamic process that fundamentally shapes the nature of transformation. Our study employs qualitative research methods, utilizing semi-structured in-depth interviews conducted both in person and online. The desk research method is employed to analyze secondary data, whereas discourse analysis method has been used for interviews. The research spans the period from 2010 to 2024. The target groups are Georgian migrants residing in the USA and in some EU countries. The survey’s main findings highlighted the heterogeneity of immigrant social spaces and the active participation of Georgian migrants through various activities within these spaces, namely: the space where labor activity is transformed (downgraded) professionally, the diasporic space consisting of Georgian congregations in Georgian Orthodox churches, the ethnic-religious and recreation space with the solemn celebration of national or religious holidays, the cultural-educational space with Sunday schools and Georgian cultural centers and the virtual communication space with family members left behind. The results acquired will contribute novel insights to the research on Georgian labor migration, which remains relatively limited
Effect of Physical and Human Geographical Features on the Results of Elections-Comparative analysis of Different Countries
No full textElectoral Geography is a new and interesting sub-direction of Human Geography. It includes finding out the tendencies that are revealed by electorate at the polling stations. Then, election results and tendencies in general, are transferred into Geographical space. The main goal of electoral geography is to reach conclusions from pondering these tendencies. These conclusions are interesting for people who work in Human Geography, also for candidates and political parties and for ordinary people, who are interested in the results of upcoming elections, results can be easily predicted if we know the tendencies of electoral geography of our country. Unfortunately, electoral geography as a science is not developed in Georgia. That is the main reason why I have decided to choose this topic for our conference. I have also decided to choose Georgia as one of the countries while conducting comparative analysis of electoral geography of different countries in this survey. Despite being young state, from the electoral map of Georgia we can find out some interesting tendencies. I think my decision will be a good donation in the process of developing Electoral Geography as a science in Georgia. My survey will not be only about the dependence of election results on Human Geographical features such as Language, Religion of the people, Culture and Ethnicity, but also on the Physical Geographical features, such as terrains and proximity to the sea. We will find out if the countries show similar or different tendencies. In this thesis we will use different research methods: Historical Analysis will be massively used, because while speaking about the electoral tendencies of different states, we need to compare election results of different years to one another. Also, we will have a general cartographical description of regions and subdivisions of countries which have been chosen. We will also analyze detailed electoral maps region-by-region, city-by-city. In survey the most important Human Geographical features of regions will be observed, such as density, Literacy rate, Average salary, Average age of the population, HDI, Ethnicity, Religion, Language…. The Method of data comparison will be used, as the aim of the research is to find out electoral tendencies of different countries, we must compare the results of elections of different years and reach interesting conclusions
კორელაციები სპონტანურ აბორტებსა და პაციენტის ანამნეზურ, სოციალურ-ბიოლოგიურ და გარემო ფაქტორებს შორის
No full textWe retrospectively studied the clinical and laboratory features of 111 patients with spontaneous abortion from the contingent of the National Medical Center O.Gudushauri and the First Medical Center, and who were treated in 2016-2018. Data from 103 pregnant women who gave birth at a time (9 months) in the same period of time were taken for control.
Results: Weighing more than 9kg - r=0.167 *, p=0.015; Daily travel for a long distance - r=0.303**, p = 0.000; Unsatisfactory living conditions - r = 0.244**, p=0.000; Excess food intake - r=0.230 **, p=0.001; Allergy - r=0.190 **, p=0.005; Hypothyroidism - r=0.213 **, p=0.002; Nutrition - r=0.359 **, p=0.000; High physical activity - r=0.0152 *, p=0.026; Stress work - r=0.254 **, p=0.000; Sleep disorders - r=0.187 **, p=0.006; Obesity - r=0.169 *, p=0.013; Varicose disease - r=0.228 **, p=0.001; Menstruation cycle disorder - r=0.334 **, p=0.000; Inflammatory diseases of small pelvic cavity - r=0.163 *, p=0.017; Uterine myoma - r=0.157 *, p=0.021; Placenta-based - r=0.0157 *, p=0.022; Menarche - r=0.155, p=0.023.
With spontaneous abortions, a significant positive correlation is manifested in: housing and labor conditions, mode of diet, gynecological analysis
ფაქტობრივი კვების, კვებითი სტატუსისა და კვებითი ქცევის შეფასება სტუდენტებში
No full textWe set out to explore the eating habits and dietary routines of students from TSMU and TSU. Our research focused on a small group of 28 students, analyzing their food choices through a food frequency questionnaire and a 24-hour dietary recall. What we found was concerning: 70% of the students’ eating patterns fell short of basic hygiene and nutrition standards. Many relied heavily on protein and fat-rich foods, which can lead to problems like metabolic imbalances, weight gain, and even obesity. Even more worrying, half of the students ate most of their food late at night, a habit that disrupts a healthy eating schedule and can have long-term consequences. Despite their academic knowledge about healthy eating, these students still face challenges in maintaining balanced diets. This shows us that knowledge alone isn\u27t enough to change behavior. To tackle this, we need to focus on more engaging awareness campaigns and proactive steps that help students build sustainable, healthy eating habits.კვლევის მიზანს წარმოადგენდა თსსუ-ის და თსუ-ის სტუდენტების კვებითი რეჟიმისა და რაციონის შესწავლა. კვლევა ეფუძნებოდა 28 სტუდენტის მონაცემებს, რომელთა კვებითი ქცევის შეფასება განხორციელდა სურსათის სიხშირის ანალიზის მეთოდით და 24 საათიანი აღწარმოების გამოყენებით. კვლევის შედეგებით დადგინდა, რომ სტუდენტთა 70%-ის კვებითი რეჟიმი არ შეესაბამება ჰიგიენურ ნორმებს. საკვებ რაციონში აღინიშნებოდა ცილოვანი და ცხიმოვანი პროდუქტების გადაჭარბებული მიღება, რაც ხელს უწყობდა მეტაბოლიზმის დარღვევას, ჭარბი წონისა და სიმსუქნის განვითარებას. სტუდენტთა 50% საკვების დიდ ნაწილს ღამის პერიოდში იღებდა, რაც კვებითი რეჟიმის დარღვევის მაჩვენებელია. კვლევით დადგინდა, რომ მიუხედავად ჯანსაღი კვების პრინციპების შესახებ სტუდენტების მიერ მიღებული აკადემიური განათლებისა, საკვლევ კონტინგენტში კვლავ შენარჩუნებულია კვებითი ქცევის პრობლემები. კვლევის შედეგები მიუთითებს საკითხის ირგვლივ აქტიური საინფორმაციო კამპანიების გატარების და პრევენციული ღონისძიებების დანერგვის აუცილებლობას ჯანსაღი კვებითი ჩვევების გასამყარებლად