bluuebunny/crossref_metadata_2025 huggingface dataset:
Promotion of Mathematical Algorithms to the Development of Computer Artificial Intelligence
Authors: YuBao Chang
Published: January 2025

Through the analysis of network structure, the network model can be expressed by mathematical formula. This paper studies the promotion of mathematical algorithms to the development of computer artificial intelligence. This paper mainly solves the problem of how to transform complex networks into simple logic and mathematics. Based on the theoretical background of intelligent concept, that is, artificial intelligence theory, and combined with the discipline structure characteristics of intelligent technology, this paper attempts to comb and analyze the development of intelligent concept with mathematical algorithm. Through the optimization of the network through operation analysis, a more general network mathematical model can be abstracted. It makes the network structure relationship more simple, practical, safe and reliable, and is more suitable for the application environment of various types of network mathematical models. In addition, the application of mathematical theory to artificial intelligence network can simplify the artificial intelligence network and facilitate the analysis and calculation of artificial intelligence network.
Research on Key Technologies of UAV Tracking Based on Adaptive Control
Authors: Li Yi
Published: January 2025

Ecological environment monitoring is the basis of ecological environment protection. The application of UAV remote sensing technology in ecological environment monitoring has made breakthroughs in time and space. This can improve the scope, efficiency and capacity of monitoring. Based on adaptive control technology, this paper studies the application of UAV in ecological environment monitoring. This paper studies the online path planning of UAV in water environment monitoring and proposes an online path planning algorithm based on genetic algorithm. The simulation results show that this method can quickly generate feasible track or even sub optimal track.
State Perception and Health Prediction of Key Equipment in Power Metering Production
Authors: Chong Li
Published: January 2025

Combining intelligent sensing technology with an improved grey wolf optimizer (GWO) algorithm, this article innovatively studied state perception and health prediction methods for key power metering equipment. A state perception network was constructed, utilizing intelligent sensing for real-time collection and monitoring of equipment operation. Gabor transform was applied for signal denoising, followed by empirical mode decomposition to extract operational features. An improved GWO algorithm enhanced search efficiency and global optimization, avoiding local optima. A combination prediction model was established to improve prediction accuracy and reliability. Results showed average data collection and processing times of 0.053 and 0.196 seconds, with 93.84% accuracy, and fault warning and false alarm rates of 93.37% and 6.63%, respectively. This method effectively monitors equipment state and predicts health, aiding proactive maintenance planning and reducing fault costs.
Quantum Cryptographic Algorithms for Securing Financial Transactions
Authors: Farhadeeba Shaikh
Published: January 2025

The rise of quantum computing poses significant threats to traditional cryptographic methods currently securing financial transactions. Quantum algorithms, such as Shor’s and Grover’s, have the potential to break widely used encryption systems like RSA and ECC, making financial data vulnerable to exploitation. This research explores the development and application of quantum cryptographic algorithms designed to secure financial transactions in the quantum computing era. Focusing on techniques such as Quantum Key Distribution (QKD), lattice-based cryptography, and hash-based signatures, the study examines how these methods can ensure the confidentiality and integrity of financial data. Practical applications, including quantum-safe payment gateways and blockchain integration, are analyzed to provide a comprehensive understanding of how financial systems can transition to quantum-resistant cryptography. Furthermore, challenges such as scalability, high implementation costs, and regulatory considerations are discussed. The paper highlights the urgent need for financial institutions to begin adopting quantum-resistant cryptography to safeguard future financial transactions.
Investigating the Impact of Mobile-Assisted Language Learning on Vocabulary Retention among Saudi Arabia EFL High School Students
Authors: Aayesha Sagir Khan
Published: January 2025

The current research assesses the influence of Mobile-Assisted Language Learning (MALL) on the improvement of vocabulary knowledge and student accomplishment among Saudi EFL high school students, as well as the efficiency of MALL against conventional teaching-learning approaches. Following a post-test-only, random assignment, mixed-method research design, 120 students were assigned to an experimental mobile vocabulary application condition and a conventional condition. The content scores in the pre-test, immediate post-test and delayed post-test showed that the experimental group recorded higher scores than the control group in the short-term test as well as in the long-term test. Also, the study elicited higher motivation levels from the experimental group indicating the cognitive and affective advantages of MALL. The findings have a theoretical implication that aligns MALL with cognitive theories of spaced learning, including retrieval practice; it also suggests how MALL can overcome the drawbacks of conventional learning methods. Substantial to the sociocultural considerations vital to the use of MALL, the study advocates for the incorporation of MALL into the EFL curriculum and future research on the practicality and generality of MALL to other language skills.
Developing Cybersecurity Policies for Smart Cities: A Case Study Approach
Authors: Bhavna Ambudkar
Published: January 2025

The rise of smart cities, integrating technology into urban infrastructure, has revolutionized urban management, enhancing efficiency and citizen services. However, this increased connectivity also exposes cities to significant cybersecurity threats. This paper presents a case study-based approach to developing robust cybersecurity policies for smart cities, focusing on identifying vulnerabilities and mitigating risks associated with IoT devices, cloud platforms, and data networks. By examining case studies from various smart cities globally, this research outlines the key challenges cities face, including data breaches, unauthorized access, and cyberattacks. It also explores best practices, such as encryption, multi-factor authentication, and continuous monitoring, to secure critical infrastructure and citizen data. Furthermore, the study emphasizes the importance of collaboration between public and private sectors, along with a need for dynamic policy frameworks that evolve with technological advancements. This approach provides insights into creating adaptable, resilient cybersecurity strategies tailored to the unique needs of smart cities, ultimately promoting safer and more secure urban environments in the face of growing cyber threats.
The Role of Artificial Intelligence in Combating Cyber Fraud
Authors: Sukhvinder Singh Dari
Published: January 2025

The escalating sophistication of cyber fraud necessitates innovative defense mechanisms, positioning Artificial Intelligence (AI) at the forefront of cybersecurity strategies. AI's role in combating cyber fraud is multifaceted, encompassing the detection, prevention, and mitigation of fraudulent activities. Leveraging machine learning algorithms, AI systems analyze vast amounts of data to identify patterns and anomalies indicative of fraud. These systems can rapidly adapt to new threats, providing real-time monitoring and response capabilities that outpace traditional methods. Additionally, AI enhances threat intelligence by integrating data from diverse sources, enabling a comprehensive understanding of cyber threats. Predictive analytics powered by AI allows for the anticipation of potential attacks, thereby strengthening pre-emptive measures. Furthermore, AI-driven automation reduces the burden on human analysts, enabling them to focus on more complex tasks. Despite its potential, the integration of AI in cybersecurity also presents challenges, such as algorithmic biases and the need for continuous learning. The synergistic application of AI in combating cyber fraud promises a robust defense mechanism, enhancing the resilience of digital ecosystems against evolving threats.
Cloud Security: Implementing Zero Trust Architecture in Distributed Environments
Authors: Samir N. Ajani
Published: January 2025

This paper explores the implementation of Zero Trust Architecture (ZTA) in distributed cloud environments to enhance security and mitigate risks associated with data breaches. As organizations increasingly adopt cloud services, traditional perimeter-based security models become inadequate against sophisticated cyber threats. ZTA shifts the security paradigm by enforcing strict access controls, continuous authentication, and least-privilege principles, ensuring that every user and device is verified regardless of their location. The study discusses the challenges of integrating ZTA into existing cloud infrastructures, including scalability, complexity, and user experience. It also outlines best practices for deployment, emphasizing the importance of identity and access management, micro-segmentation, and real-time monitoring.
Advanced Threat Detection Mechanisms for Cloud Security: A Machine Learning Perspective
Authors: Varsha Kiran Bhosale
Published: January 2025

The rapid adoption of cloud computing has led to increased exposure to sophisticated cyber threats, necessitating advanced security mechanisms. This paper explores cutting-edge machine learning techniques for threat detection in cloud environments, focusing on their ability to identify, predict, and mitigate potential cyber-attacks. Machine learning models such as deep learning, support vector machines, and ensemble methods are evaluated for their effectiveness in detecting malware, unauthorized access, and other security breaches. By leveraging large datasets and real-time data streams, these models can continuously improve their detection capabilities, providing a proactive approach to threat identification. Key performance metrics such as accuracy, false-positive rates, and response time are analyzed to determine the best-fit algorithms for cloud security applications. The integration of machine learning with traditional cloud security measures is examined to create a multi-layered defense system. The paper also discusses the challenges of implementing machine learning in cloud environments, including scalability, computational cost, and data privacy concerns. Through a comprehensive analysis, this study highlights the potential of machine learning as a transformative tool for enhancing cloud security, offering both theoretical insights and practical solutions for safeguarding cloud infrastructure against evolving cyber threats.
Experimental models and behavioral screening tests in Alzheimer's Drug development: A Review
Authors: Vatakkeel Bijesh , R Mythreyi , EN Siju
Published: January 2025

Alzheimer's is a progressive loss of cognitive ability due to neuronal cell degeneration in the brain. It accounts for most dementia cases globally. The multi-factorial etiology of Alzheimer's disease makes currently approved medications like anticholinesterase and glutamate antagonists, inadequate for prevention or cure. They offer only symptomatic relief and do not reverse the neurodegenerative pathways in Alzheimer's disease. Thus, researchers focus on understanding different facets of pathogenesis targeting multiple mechanisms to develop a successful anti-Alzheimer medication. This review discusses Different screening models in various species, developed by scientists, from conventional to transgenic models. Behavioral studies assess the cognition-enhancing potential of new medications under development in Alzheimer's disease models. In this review, we also focussed on the mechanism of pathogenesis in different models which will be helpful in assessing therapeutic activity in different forms of Alzheimer's disease
Antidiabetic Activity of Nano herbal Extract of Ocimum basilicum L on Rat Induced Streptozotocin
Authors: Hanjaya Hanjaya , Sihombing Bungaran , Ferdinand Sahna
Published: January 2025

Background: antihyperglycemic effects of a nanoherbal formulation derived from Ocimum basilicum L in managing Diabetes Mellitus (DM), a growing global health concern. With DM cases projected to rise sharply, this experimental research is timely, especially in Indonesia which has a high prevalence of undiagnosed diabetes. Materials And Methods: In the study, seven groups of rats (each with five rats weighing 200-250 grams) were utilized: a normal group, a negative control group, a positive control group treated with metformin, and four experimental groups treated with varying doses of the nanoherbal formulation (25, 50, 100, and 200 mg/kg body weight). The diabetic state was induced using a combination of Streptozotocin (STZ) and Nicotinamide (NCT), elevating blood glucose levels above 200 mg/dL. Results: The results were promising. Superoxide dismutase (SOD) levels, an indicator of oxidative stress, were highest in the group receiving the 200 mg/kg body weight dose of the nanoherbal treatment, surpassing even the metformin group. Similarly, insulin levels were most elevated in the 200 mg/kg body weight nanoherbal group, matching the control group and suggesting a substantial antidiabetic effect. Malondialdehyde (MDA) levels, a marker of lipid peroxidation, decreased significantly with the nanoherbal treatment, with the 200 mg/kg dose nearly restoring normal values. Conclusion: These findings highlight the potential of the tomato-based nanoherbal formulation as a therapeutic option for diabetes management. However, the mechanisms of action and potential for human application require further investigation.
Physical Exercise Improve Pancreatic Beta Cell Mass and Function: Systematic Review
Authors: Ayubi Novadri , Cahyanto Wibawa Junian , Firman Halip Muhammad , Aljunaid Mohammed
Published: January 2025

This study aims to analyze the effects of exercise on the mass and function of pancreatic beta cells. This type of systematic review research uses searches from journal databases such as Science Direct, Pubmed, and Web of Science. The inclusion criteria for this study are studies that discuss the hormone insulin, pancreatic beta cells, diabetes mellitus, and physical activity published in the last five years (2018-2023). The exclusion criteria for this research are publications published in non-reputable journals or not indexed by Scopus and Web of Science.Article titles, abstracts, and complete texts were vetted, confirmed, and entered into Mendeley software. 10 articles that met the inclusion criteria were selected and analyzed for this systematic review. This systematic review study's findings indicate that enhancing the mass and functionality of pancreatic beta cells led to by physical exercise can increase the sensitivity of the action of the hormone insulin. This has an influence on the maintenance of the pancreas organ, especially beta cells which work to maintain blood glucose balance in the body by secreting the hormone insulin. We recommend that physical exercise be a preventive effort for each individual to maintain the body to care for one of the organs that is very important in blood glucose balance, namely the pancreas by increasing the size and functionality of beta cells in the pancreas. And maintain general body health.
Evaluation of Antioxidant and Antidiabetic Potential of Novel Derivatives of Aziridine
Authors: Jaiswal Reneesh , Sarkar Ashish
Published: January 2025

Diabetes mellitus is a significant metabolic disorder. The present research was based on the evaluation of antioxidant and antidiabetic potential of novel derivatives of aziridine. Albino rats (either sex) weighing 130–150g were provided by Animal House, Institute of Pharmaceutical Sciences and Research, Unnao. They were housed in healthy conditions, with a 12-hour light/dark cycle and a room temperature of 25°C. The acute toxicity (dose regimen) test of the synthesized aziridine derivatives was determined using Lorke’s method (1983). Diabetes was induced by a single intraperitoneal injection (a volume of 1ml/kg) of freshly prepared alloxan monohydrate solution (20mg/kg body weight). All the mice were divided into 5 groups (n=6) and treated for 21 days i.e., group 1 given normal saline; group 2 given alloxan (20mg/kg, p. o.); group 3 given alloxan (20mg/kg, p. o.) + glibenclamide (10mg/kg); group 4 given alloxan (20mg/kg, p. o.) + aziridine derivatives [A1] (50mg/kg, p. o.) and group 5 given alloxan (20mg/kg, p. o.) + synthesized aziridine derivatives [A4] (100mg/kg, p. o.). Antioxidant and anti-diabetic effects were evaluated using DPPH Scavenging capacity, total antioxidant, α-amylase and α-glucosidase inhibition, body weight and blood glucose level in OGTT. In results, in phase I and phase II, all the animals were found safe with no behavioural signs at all the dose levels. No mortality was seen in any animal. After 120 min, Alloxan (20mg/kg, p. o.) + aziridine derivative- A1 (50mg/kg, p. o.) and Alloxan (20mg/kg, p. o.) + aziridine derivative- A4 (50mg/kg, p. o.) treated mice showed blood glucose level as 137.12±0.38mg/dl and 134.36±0.29mg/dl, respectively. The inhibition rate was observed in dose-dependent manner. It concluded that aziridine derivatives A1 and A4 were demonstrated as significant antioxidant potential in DPPH scavenging assay and total antioxidant activity. When observed in animal study, A1 and A4 exhibited the hypoglycaemic action by lowering the blood glucose level and body weight of the mice. It suggests that aziridine derivatives (A1 and A4) are promising moieties which might be utilized in the management of oxidation and associated diabetes mellitus.
Judging the Greenness of Analytical Method using Ecological Foot Prints: A Green Metric Approach
Authors: Koppuravuri Naga Prashant , Yenduri Suvarna , H N Varalakshmi
Published: January 2025

Green Analytical Chemistry advocates for the utilization of environmentally friendly chemicals and reagents, energy conservation in laboratory equipment, and the reduction of waste to a minimum. Recent developments in analysis involve the reduction in size of analytical instruments, the use of solventless or solvent-minimized extraction techniques, and the utilization of less hazardous solvents. The twelve principles of Green Analytical Chemistry (GAC) guide these advancements, which include sustainable practices into analytical procedures. Although these guidelines give direction, unavoidable processes may still hinder green analytical techniques. Thus, analytical procedures must be assessed for their impacts on the environment and occupation and minimised if feasible. To measure the greenness of analytical methodologies, many criteria have been devised. The Analytical Eco-Scale, Analytical Greenness (AGREE) Metric, and Green Analytical Procedure Index (GAPI) calculate green indexes for analytical procedures by considering several components of the process. This overview explains the fundamentals of the tools or metrics and discusses their use in analytical methods. It also highlights user positives and downsides of various measures. Comparing evaluation findings based on solvents and reagents availability helps researchers identify the most eco-friendly strategy. This work intends to inspire new green analytical chemistry views and advances by illuminating these assessment techniques and their consequences.
Pathological Events and Adverse effect of Atopic Dermatitis
Authors: Heralagi Purushottam , Urolgin Deeparani , Goudar Nandini , Raza Mohd Imtiyaz Ansari Aashif
Published: January 2025

Follicular Dermatitis a skin condition in which there is an inflammation of hair follicles is a disease found equally in both male and female and widely affecting the pediatric population too resides with the symptoms of irritation and itching of the skin and cause damage of the hair follicle, thus either caused by the parasites or bacteria or even the physical activities undertaken by the people for their skin. This review articles concludes the symptoms and various factors like physical, chemical, genetic, skin patterns, immunological condition and other biological species that influence the disease.
Investing Wear Resistance Of EN-45 Steel through Detonation -Sprayed Coatings : A Study Of Timo(CN)and NiCrALY+0.4 wt%CeO2
Authors: Veerpaul Soi
Published: January 2025

This research investigates the wear behavior of uncoated EN-45 steel and detonation-sprayed TiMo (CN) and NiCrAlY+0.4 wt%CeO2 coatings on EN-45 substrates. The detonation gun spray process was utilized to successfully deposit the coatings, which were subsequently characterized by SEM, EDAX, and XRD analyses. Wear tests, conducted under normal loads of 40N, 50N, and 60N, revealed that coated materials exhibited significantly lower cumulative volume loss compared to uncoated samples. Among the coatings, NiCrAlY+0.4 wt%CeO2 demonstrated superior wear resistance, lower cumulative volume loss, and higher bonding strength. These findings suggest that detonation-sprayed NiCrAlY+0.4 wt%CeO2 coatings are highly effective in enhancing the wear resistance of EN-45 steel and can be applied in high-wear applications, particularly in the automotive industry for components like axles. Future research could explore the long-term performance and cost-effectiveness of these coatings in real-world applications.
The Evolution and Impact of Financial Technology (Fintech) on Global Financial Services
Authors: Raj Kumar
Published: January 2025

Financial technology (fintech) has significantly altered the financial services landscape by introducing groundbreaking innovations in areas such as blockchain, artificial intelligence, and digital payments. This paper examines the evolution of fintech, its transformative role in increasing financial inclusion, and the challenges it faces, such as regulatory and cybersecurity concerns. It concludes with insights into the future of fintech and its potential to redefine the global financial system.
Attributes of Employee Perception: A Study on Artificial Intelligence (AI) in Indian Private Hospitals
Authors: Pragati Tomar
Published: January 2025

AI is transforming the way healthcare professionals deliver services and patients receive care. Though AI offers various benefits, it may also have errors. It will be insightful to correct errors and shortcomings since the technology is in its initial stage. Since employees are firsthand users, it is better to take their perception of the effectiveness of this technology in hospitals. The study's objective is to understand the perception of doctors, nurses, and technicians of hospitals and medical colleges on AI applications. The total sample consist of 227 respondents which was taken from Pan India. The sample was collected using purposive sampling. Regression was used for further data analysis through the SPSS 20.0 version. Employees have a positive perception of all three dimensions of AI.
Therapeutic effectiveness of three commercial anthelmintics against strongylids in buffalo calves (Bubalus bubalis)
Authors: Uzcátegui David , Gutiérrez Víctor , Rodríguez María , González Andrea , Sánchez Alfredo
Published: January 2025

Gastrointestinal parasites and their control in buffaloes (Bubalus bubalis) represent increasing production costs. To improve sanitary plans in buffalo herds, experimental field re-search was carried out to evaluate the efficacy of three commercial anthelmintics against strongylids parasites in buffalo calves. The effectiveness of the anthelmintics was estimated through faecal egg count (FEC) reduction percentage. The study was conducted in a buffalo system dedicated to milk and meat production with crossbreed animals (Murrah and Mediterranean breeds) in the South of Lake Maracaibo, Venezuela. Twenty-eight buffalo calves, naturally infected, with a parasite load ≥ 350 eggs per gram of faeces (EPG), and age between 2 and 3 months, with an average weight of 65.9 kgs, were selected. The animals were grouped into four treatments: T0 control without anthelmintic; T1 fenbendazole 10%, Intervet  laboratory, Brazil, at 5mg/kg orally; T2 ivermectin 1%, SIGMA laboratory, Venezuela, at 0.2 mg/kg subcutaneously; and T3 levamisole hydrochloride 22.3%, Valmor laboratory, Venezuela, at 4.5 mg/kg subcutaneously. The anthelmintics were applied in a single dose on day zero (0) of the research. A coprological diagnosis was performed prior to treatment and at 14 (A), 21 (B) and 28 (C) days after treatment. The faecal samples were examined by applying McMaster’s technique with saturated saline. Data was analyzed with descriptive statistics and the nonparametric Friedman test. The FEC reduction percentage was calculated for each anthelmintic. Moreover, the lower limit of the 95% confidence interval was calculated for each anthelmintic (low-CI95%). The mean EPG before treatment (BT) was 907.1 EPG, 978.6 EPG, 1057.1 EPG, and 921.4 EPG for T0, T1, T2, and T3, respectively. The mean of EPG during the evaluation of the different treatments showed significant variations (p<0.05): T1 in A (42.9), B (200) and C (178.6). For T2 in A (671.4), B (571.4) and C (964); and for T3 in A (41.7), B (92.9) and C (121.4). The FEC reduction percentage at times A, B and C at T1 was 97%, 81.1% and 84.7% and a low-CI 95% of 67%; for T2 it was 51.5%, 46% and 17.4% and a low-CI 95% of -7.2%; and for T3 it was 97%, 91.2% and 89.6% and a low-CI 95% of 82.9%. Conclusions are that T1 and T3 presented a mean of EPG at low levels (≤ 200) during the evaluated period in comparison to T2, which remained at a high level of infection (> 500). Furthermore, levamisole was most effective against strongylids. In the case of ivermectin, the FEC reduction percentage was less than 90% during the trial, resulting in a low-CI 95% of -7.2%, showing possible anthelmintic resistance.
QUALITY OF LIFE IN SPOUSE OF CANCER PATIENTS: A CROSS SECTIONAL COMPARATIVE STUDY AT A TERTIARY CARE CENTRE
Authors: Singh Dr Ankita , Tiwari Dr Harihar Nath , Choubey Dr Subhadra , Byahut Dr Ravi , Singh Dr Rajesh Kumar
Published: January 2025

Background: Cancer patients rely almost always on family, friends and significant others in their journey of dealing with their illness. Caregiver especially spouse often symbolically shared in the illness and presented the struggle with cancer as a joint one. Given the magnitude of services provided and the sacrifices made by family caregivers, adverse consequences of caregiving have emerged as a serious public health concern. Objectives: The present study aimed to the quality of life in spouses of patients with cancer. The present study also aimed to assess the relationship between sociodemographic variables and quality of life of spouses of patients with bipolar affective disorder. Materials and Methods: A cross-sectional study conducted at PMCH Patna, with a total sample of 100 cases, 50 spouses of cancer patients and 50 spouses of bipolar affective disorder as the experimental and control group respectively, aged between 18-64years, selected consecutively. After obtaining informed consent, the sociodemographic variables were recorded in a specific proforma prepared for the study. Quality of life was assessed by using Short Form-36 (SF-36) in all the subjects. The data obtained was subjected to suitable statistical analysis using SPSS version 22. Results: The quality of life was scored lower on spouses diagnosed with a psychiatric disorder (statistically significant at P value 0.007). Conclusion: The results of the study indicate that caregiving spouses of patients with cancer are associated with lower quality of life. Therefore, psychiatric evaluation and appropriate interventions in spouses of cancer patients assumes clinical significance for a better outcome given the magnitude of services provided and the sacrifices made by family caregivers.
Implementação das Diretrizes Curriculares Nacionais da Medicina e seus desafios
Authors: Cordeiro Herbert Paulino , Cordeiro Fernanda de Nazaré Cardoso dos Santos , Bichara Clea Nazaré Carneiro , Botelho Nara Macedo
Published: January 2025

Introdução: As Diretrizes Curriculares Nacionais (DCNs) para o curso de Medicina foram implementadas para adequar a formação médica às necessidades da sociedade, focando na saúde pública e Sistema Único de Saúde (SUS). As versões de 2001 e 2014 marcam a evolução dessas diretrizes, propondo abordagem humanística, ética e integral na formação médica. Entretanto, a implementação dessas diretrizes enfrenta desafios. Objetivo: Realizar uma revisão narrativa sobre os desafios e barreiras enfrentados pelas escolas médicas na implementação das DCNs no Brasil. Método: Pesquisa bibliográfica em bases de dados PubMed, SciELO e Google Acadêmico entre 2014 e 2024, utilizando palavras-chave relacionadas às DCNs e formação médica. Resultados e Discussão: Os principais desafios identificados incluem: resistência às mudanças pedagógicas propostas, falta de infraestrutura, dificuldade de integração com o SUS e ausência de capacitação docente. As DCNs incentivam metodologias ativas e uma formação prática, porém, muitos professores ainda adotam métodos tradicionais. Ademais, desigualdades regionais e a escassez de recursos dificultam a aplicação homogênea das diretrizes. Conclusão: O fortalecimento da capacitação docente, melhorias na infraestrutura e promoção de políticas públicas que incentivem a integração com o SUS são fundamentais para que as diretrizes sejam aplicadas, permitindo formação de médicos preparados para as demandas da saúde pública.
Det er tid til handling: Graveskader truer forsyningssikkerheden og samfundets digitale nerve
Authors: Tue Hansen  , Torbjørn Mandahl Pedersen  , Peter Hjortdal
Published: January 2025

I 2016 fastslog Klima- Energi- og Forsyningsministeriet, at graveskader på underjordisk infrastruktur koster samfundet cirka 280 millioner kroner om året. Siden er der ikke sket de store forbedringer. Der er behov for, at vi finder sammen om en løsning i fællesskab mellem myndigheder, entreprenører, forsyningsselskaber og rådgivere. Vi ved ganske enkelt for lidt om de kritiske forsyningsledninger, som vi har liggende i undergrunden. Den nødvendige teknologi til 3D-dokumentation og deling af data er allerede udviklet og tilgængelig fra flere forskellige leverandører, men vi skal stå sammen om en fælles indsats for at høste potentialet. Med et fremtidigt krav om 3D-dokumentation vil vi som samlet branche sikre høj nøjagtighed på ledningernes placering, mens en bred deling af data vil komme alle til gode. Alt i alt vil det føre til bedre udnyttelse af vores ressourcer og infrastruktur på tværs af forsyningsarter og brancher.
About the Limitations of the SOC model application for earthquakes
Authors: Kazarian Armen , Minasyan Gayane , Ter-Vardanyan Lilit , Mkrtchyan Asatur
Published: January 2025

This article examines certain limitations of applying the Self-Organized Criticality (SOC) model to earthquakes. An analysis of earthquake distribution throughout the day reveals that in some areas, earthquake frequency strictly depends on the time of day, with more occurrences connected to the midday and midnight. This frequency also aligns with the lunar day cycle of 27.35 days. Proposed a new type of histogram illustrating the daily dependency of earthquake occurrences. It can be used for a better understanding of the seismic regime in the given territory within short time periods. It is concluded that earthquake-generating forces exhibit periodic patterns with periods of 12 and 24 hours, as well as 14 and 28 days. Since the combined tidal periodicity for spring tide is 12:25 or 24:50 per day presented in report observation is limiting the possibility to apply the trigger model of moon and sun combined forces influence to the earthquake generation process.
Այս հոդվածում ուսումնասիրվում են ինքնակազմակերպված կրիտիկական (Self Organised Criticaly) մոդելի կիրառման որոշ սահմանափակումները երկրաշարժերի դեպքում։ Օրվա ընթացքում երկրաշարժերի բաշխման վերլուծությունը ցույց է տալիս, որ երկրաշարժերի հաճախականությունը խստորեն կախված է օրվա ժամից՝ առավել հաճախականությամբ կապված լինելով կեսօրի և կեսգիշերի հետ։ Այս հաճախականությունը համընկնում է նաև 27.35 օր տևողությամբ լուսնային օրվա ցիկլին։ Առաջարկվում է նոր տեսակի հիստոգրամմա, որը ցուցադրում է երկրաշարժերի առաջացման օրական կախվածությունը։ Այն կարող է օգտագործվել տվյալ տարածքում կարճ ժամանակահատվածներում սեյսմիկ ռեժիմի ավելի լավ ըմբռնման համար։ Եզրակացվում է, որ երկրաշարժեր ստեղծող ուժերը դրսևորում են պարբերականության նմուշներ մոտավորապես 12 և 24 ժամ, ինչպես նաև 14 և 28 օր պարբերություններով։ Սա սահմանափակում է երկրաշարժերի առաջացման գործընթացում Լուսնի և Արևի համատեղ ազդեցության մոդելի կիրառման հնարավորությունը:
В данной статье рассматриваются некоторые ограничения применения модели самоорганизующихся систем достигших критического состояния (Self Organised Criticaly) к землетрясениям. Анализ суточного распределения землетрясений показывает, что частота появления землетрясений строго зависит от времени суток, связанными с полуднем и полуночью. Эта частота также соответствует циклу лунного дня, составляющему 27,35 дня. Предложен новый тип гистограммы, иллюстрирующий суточную зависимость возникновения землетрясений. Он может быть использован для лучшего понимания сейсмического режима в течение коротких временных интервалов. Сделан вывод о том, что силы, генерирующие землетрясения, проявляют периодические закономерности с периодами примерно 12 и 24 часа, а также 14 и 28 дня, что ограничивает возможность применения триггерной модели влияния Луны и Солнца на процесс генерации землетрясений.
Կոտայքի մարզի հողերում բնական և տեխնածին ռադիոնուկլիդների տարածաբաշխման առանձնահատկություները
Authors: Հովհաննիսյան Սպարտակ , Մովսիսյան Նոնա , Գևորգյան Աննա , Բելյաևա Օլգա
Published: January 2025

Կոտայքի մարզի գյուղատնտեսական նշանակության հողերի բազմաֆունկցիոնալ հանույթից ստացված նմուշները օգտագործվել են գումարային α/β ակտիվության, 226Ra, 232Th, 40K և 137Cs-ի տեսակարար ակտիվություների տարածաբաշխման առանձնահատկություների վրա ազդող գործոների բացահայտման համար: Կոտայքի մարզի հողերում 226Ra, 232Th, 40K ակտիվություները պայմանավորված են տվյալ տարածքի երկրաբանական առանձնահատկություներով և մարդու գյուղատնտեսական գործունեությունը դրանց ակտիվության վրա ազդեցություն չի ունենում։ 137Cs-ի դեպքում պատկերն այլ է, դրա ակտիվությունը պայմանավորվում է նախ՝ տարածքի բարձրությամբ, այնուհետև՝ հողօգտագործման տիպով։ Նույն բարձրության վրա գտնվող տարածքների բնահողերում և արոտավայրերի հողում 137Cs-ի ակտիվությունը ավելի բարձր է այն հողահանդակներից որոնց հողերը ենթարկվել են մեխանիկան մշակման՝ հերկում, փխրեցում և այլն։
Выявлены факторы, влияющие на особенности распределения суммарной α/β-активности, удельной активности 226Ra, 232Th, 40K и 137Cs в сельскохозяйственных почвах Котайкской области, с использованием фактического материала многофункциональной геохимической сьемки. Активность 226Ra, 232Th и 40К в почвах Котайкской области определяется геологическим строением местности и сельскохозяйственная деятельность человека не влияет на их активность. В случае с 137Cs картина иная, его активность зависит в первую очередь от высоты местности, а также от типа землепользования. Активность 137Cs в целинной почве и почве пастбищ, расположенных на той же высоте выше, чем в почве, которая периодически подвергалась механической обработке: вспашке, рыхлению и пр.
In this article, the factors influencing the spatial pattern of gross α/β activity, specific activity of 226Ra, 232Th, 40K and 137Cs were revealed applying samples of multifunctional survey of agricultural soils of Kotayk region. The activity of 226Ra, 232Th, 40K in the soils is determined by the geological characteristics of the area and human agricultural activity does not affect their spatial distribution. The situation is different for 137Cs, the activity of which depends first on the altitude of the terrain and then on the type of land use. The activity of 137Cs in the soil of virgin soils and soils of pastures at the same altitude is higher than in the soil that has been subjected to mechanical treatment: tillage, loosening, etc.
Օդատիեզերական հեռազննման կիրառումը ՀՀ որոշ գյուղատնտեսական հողահանդակների էկոլոգիական վիճակի և տարածաժամանակային փոփոխությունների գնահատման գործում
Authors: Այվազյան Գրիգոր , Խլղաթյան Անահիտ , Մուրադյան Վահագն , Ասմարյան Շուշանիկ
Published: January 2025

Հետազոտության նպատակն է գնահատել հեռազննման տեխնոլոգիաների ներուժը ՀՀ գյուղատնտեսական տարբեր հողատեսքերի էկոլոգիական վիճակի գնահատման գործում, որի համար ընտրվել են գյուղատնտեսական երկու հողատեսքեր՝ բնական կերահանդակներ և խաղողի այգիներ։
The application of remote sensing methods in the field of agriculture is constantly developing. This is especially true for the assessment of spatial and temporal changes in the ecological state of agricultural lands (pastures, arable land, garden plots, etc.), becoming an obligatory part of monitoring systems.
Применение аэрокосмических методов дистанционного зондирования в области сельского хозяйства постоянно развивается. В особенности это относится к оценке пространственно-временных изменений экологического состояния сельскохозяйственных земель (пастбища, пашня, садовые участки и т.д.), становясь обязательной частью систем мониторинга.
Exploring Earthquake Triggering Mechanisms: Insights from the 2023 Kahramanmaraş Earthquake
Authors: Kazarian Aik
Published: January 2025

This article investigates earthquake triggering mechanisms, drawing on
established seismological theories and using the 2023 Kahramanmaraş earthquake
as a case study. The discussion looks at fault stress accumulation, self-organized
criticality (SOC) theory, and tidal forces as potential triggers. Finally, it raises
questions about the role of lunar and solar interactions in seismic activity,
indicating potential areas for future research.
155 лет со дня рождения Леонида Афанасьевича Спендиарова
Authors: Григорян Г. Р. , Бадалян М. Б. , Хомизури Г. П. , Погосян Н. Ю. , Хачатрян А. А.
Published: January 2025

Целью статьи было вновь вкратце изложить биографию Л.А. Спендиарова и показать значение премии его имени, вручаемой лучшим геологам мира каждые 4 года на Международных геологических конгрессах. История этой награды подробно изложена впервые, кому она вручалась с 2008 года, неизвестно, но мы очень надеемся, что она будет восстановлена вновь на следующем международном конгрессе в 2028.
Հոդվածի նպատակն է կրկին հակիրճ ուրվագծել Լ.Ա. Սպենդիարովի կենսագրությունը և ցույց տալ նրա անվան մրցանակի նշանակությունը, որը շնորհվում է աշխարհի լավագույն երկրաբաններին 4 տարին մեկ՝ Միջազգային երկրաբանական կոնգրեսներում։ Այս մրցանակի պատմությունն առաջին անգամ մանրամասն նկարագրված է, թե ում է այն շնորհվել 2008 թվականից ի վեր, անհայտ է, բայց մենք իսկապես հուսով ենք, որ այն կրկին կվերականգնվի 2028 թվականին կայանալիք միջազգային համագումարի ժամանակ։
The purpose of the article was to briefly outline the biography of L. A. Spendiarov and to show the significance of the prize named after him, awarded to the best geologists in the world every 4 years at the International Geological Congresses. The history of this award is described in detail for the first time; who it was awarded to since 2008 is unknown, but we really hope that it will be restored again at the next international congress in 2028.
The use of Tranexamic Acid in Case of Patient with Intracerebral Hemorrhage After a Coronary Procedure–Case Report
Authors: Salkic Amra , Amidzic Amel , Eric Stoja , Polimac Nermina , Tiro Naida , Campara Merita
Published: January 2025

Background: Tranexamic acid can prevent death from bleeding after trauma and postpartum hemorrhage. Objective: The aim of the paper was to assess whether tranexamic acid reduces hematoma expansion and improves outcome in adults with stroke caused by intracerebral hemorrhage. Case presentation: Administration of Tranexamic acid in a patient after a diagnosis of intracerebral hematoma, which occurred after coronary stent implantation. Intracerebral hematoma, or neurological deficit, occurs one day after cardiac surgery in the patient. The case report will present the radiological resolution of the intracerebral hematoma, as well as the improvement of the clinical picture, neurological deficit, in the patient during a one-month follow-up, after the administration of Tranexamic acid. Conclusion: Tranexemic acid is affordable, easy to administer, appears to be safe, and is widely available, so even a modest treatment effect can have an important global impact, and it is necessary to consider its more frequent use, as well as to initiate larger randomized trials.
Art- och sortskillnader i fodervärde hos gräs
Authors: Danielsson Dan-Axel , Larsson Annie , Takahashi Schmidt Junko , Nadeau Elisabet
Published: January 2025

På Svalöv skördades förstaskörd av 5 gräsarter av sammanlagt 19 olika sorter vid 3 skördetidpunkter 2019 och 5 arter, 14 sorter vid 2 skördetidpunkter 2020. Arterna var ängssvingel (Festuca pratensis), rörsvingel (Lolium arundinacea), engelskt rajgräs (Lolium perenne L.), hundäxing (Dactylis glomerata) och timotej (Phleum praense L.)

Gräsen skördades vid begynnande axgång och 10 dagar senare och under 2019 även två dagar innan beräknad begynnande axgång. Gräsen analyserades för olika foderkvalitetsparametrar. Effekt av år, skördetidpunkt och art har studerats. År och skördetidpunkt hade betydelse för de flesta parametrarna. Det fanns ett stort antal artskillnader, men få sortskillnader förutom för tidighet. Timotej innehöll mindre protein, mer lignin och hade lägre smältbarhet, men skördades sist av gräsen. Halterna av lysin och metionin var signifikant lägre i engelskt rajgräs. Engelskt rajgräs hade en annan kolhydratprofil, med lägre halt av kolhydrater som innehåller fiber, och högre halter av kolhydrater som inte gör det. Speciellt var innehållet av fruktan högt i engelskt rajgräs. Engelskt rajgräs hade det högsta energivärdet. Halten av linolsyra varierade mycket mellan arterna. Det var högt hos timotej och lågt hos ängssvingel och rörsvingel. Det var stora skillnader i mineralinnehåll hos de olika gräsen. Rörsvingel hade högre halt hydroxykanelsyror än övriga gräs, beroende på att halten kumarsyra var hög.
Phyto-Pharmacological Investigation and Antimicrobial study of Tephrosia purpurea Extract
Authors:   Department of pharmaceutics, The Pharmaceutical College Barpali,, Padhan Ashutosh
Published: January 2025

The ethno-pharmacological review claimed Tephrosia purpurea is used to cure several types of external wounds and gastro-duodenal disorders. The plant has also been claimed to cure kidney, liver spleen, heart and blood related disorders. The present study has been undertaken to investigate and evaluate the Anti-microbial activity, and Antioxidant activity of the Tephrosia purpurea aerial part. The results of extractive values showed, the alcohol extract have higher quantity of extract (6.3%) in comparison to other solvent extracts. Qualitative phytochemical studies of Carbohydrate & Glycoside showed a good characteristic colour and precipitate in all five tested reagents. Protein and amino acid were found slightly. Phenolic compounds and Flavonoids were abundantly present in all the extracts. The result showed the plant Tephrosia purpurea has significant antioxidant activity ethanolic extract (71.60) as dose dependent manner as compare to standard (92.96). The zone of inhibition of ethanolic extract of Tephrosia purpurea was effective at 200 mg/ml.

KEYWORDS: ANTIOXIDANT ACTIVITY ,FLAVONOIDS, ZONE OF INHIBITION,  GLYCOSIDE
Investigating the Antimicrobial Effect of Bacteriocin and Biosurfactant Produced from Lactobacillus rhamnosus on the Biofilm of Escherichia coli and Staphylococcus aureus
Authors:   Department of Microbiology, Tabriz Branch, Islamic Azad University, Tabriz, Iran, Hamidi Roya , Bonab Zahra H. ,   Department of Microbiology, Bonab Branch, Islamic Azad University, Bonab, Iran, Amanab Arezoo F. ,   Department of Microbiology, Tabriz Branch, Islamic Azad University, Tabriz Iran
Published: January 2025

Bacterial resistance to antibiotics is considered the most important health problem in developed and developing countries. Studies on new pharmaceutical strategies, such as probiotics and their derivatives, have increased. The purpose of this study is to isolate and purify bacteriocin and biosurfactant from Lactobacillus rhamnosus and investigate its antibacterial and anti-biofilm activity. Bacteriocin and biosurfactant produced by Lactobacillus rhamnosus standard strain were isolated and purified. Biosurfactant screening tests, including oil expansion test and drop spreading test, were conducted. Bacteriocin was separated using two different methods, including separation with the help of 2-propanol and separation with the help of ammonium sulfate. The purification of bacteriocin was realized by dialysis, and the effect of biosurfactant and bacteriocin on Staphylococcus aureus and Escherichia coli was realized using the disc diffusion method. The antibacterial properties of these substances were determined by diffusion method from its anti-biofilm disk with the help of the ELISA reader. Statistical Program for Social Sciences (SPSS) software was utilized for data analysis. The diameter of the non-growth halo of E.coli in contact with the disc impregnated with bacteriocin in concentrations of 250, 500, and 1000mg/ml was 21 ± 1, 21.33 ± 2.3 and 34.66 ± 7.02 mm, respectively, and in Staphylococcus aureus was evaluated as 18.33 ± 3.78, 24.33 ± 4.72 and 43.66 ± 4.72 mm, respectively. The order was evaluated as 18.33 ± 2.88, 25 ± 5, 43.33 ± 5.77 mm. The biofilm inhibition percentage was measured for Escherichia coli 0.36, 2.15, and 71.75%, respectively, and for Staphylococcus aureus 1.07%, 5.96%, and 53.3%, respectively, at the mentioned concentrations. The results showed that bacteriocin and biosurfactant isolated from Lactobacillus rhamnosus have high antibacterial and anti-biofilm properties.