bluuebunny/crossref_metadata_2025_split huggingface dataset:
Can ephapticity contribute to the brain complexity?
Authors: Cunha Gabriel Moreno , Corso Gilberto , de Sousa Matheus Phellipe Brasil , Lima Gustavo Zampier dos Santos 
Published: April 2024

Abstract

The inquiry into the origin of brain complexity remains a pivotal question in neuroscience. While synaptic stimuli are acknowledged as significant, their efficacy often falls short in elucidating the extensive interconnections of the brain and nuanced levels of cognitive integration. Recent advances in neuroscience have brought the mechanisms underlying the generation of highly intricate dynamics, emergent patterns, and sophisticated oscillatory signals into question. Within this context, our study, in alignment with current research, posits the hypothesis that ephaptic communication may emerge as the primary candidate for unraveling optimal brain complexity. In this investigation, we conducted a comparative analysis between two types of networks utilizing the Quadratic Integrate-and-Fire Ephaptic model (QIF-E): (I) a small-world synaptic network (ephaptic-off) and (II) a mixed composite network comprising a small-world synaptic network with the addition of an ephaptic network (ephaptic-on). Utilizing the Multiscale Entropy methodology, we conducted an in-depth analysis of the responses generated by both network configurations, with complexity assessed by integrating across all temporal scales. Our findings demonstrate that ephaptic coupling enhances complexity under specific topological conditions, considering variables such as time, spatial scales, and synaptic intensity. These results offer fresh insights into the dynamics of communication within the nervous system and underscore the fundamental role of ephapticity in regulating complex brain functions.
Multirecycled polyfunctional biologics based on Bacillus subtilistogether with compost in potato organic farming
Authors: Novikova Irina , Titova Julia , Minin Vladislav , Zakharov Anton , Krasnobaeva Irina , Murzaev Eugeniy 
Published: April 2024

Abstract

Bacillus strains have long been widely and successfully used as the polyfunctional biologics’ basis in various systems for crops cultivation and protection. The research goal was to evaluate application effect from experimental prototypes of multirecycled polyfunctional biologics based on Bacillus subtilis I-5/12–23 together with compost in potato organic farming. A significant stimulation of potato plants Udacha variety growth and development up to the flowering phase was observed regardless of the growing season hydrothermal conditions. The stimulation was by the additive effect of joint biologics and compost use in proportion to its dose. The multirecycled substrate-associated and liquid polyfunctional biologics prototypes together with compost almost doubled the potato tubers biological yield compared to the control regardless the growing season conditions. In the flowering phase, the biological efficacy with respect to the potato fungal diseases incidence and development was 90% under optimal hydrothermal conditions and up to 75% under drought conditions. At the vegetation end the efficacy in the potato fungal diseases development reached 70% (compost efficiency itself more than 45%) regardless of the vegetation period conditions. Four-year scientific and producing approbation of the technological application rules for the biologics’ prototypes based on B. subtilis I5-12/23 and compost developed for the North-West region’s various weather and climatic conditions showed their high efficacy in protection the organic potato. Disease incidence on plants decreased about 80%, on tubers about 50%, their quality improved, and the marketable products yield increase at 9 t ha− 1 (3 t ha− 1, on average). The application’s technological rules optimizing for various weather and climatic conditions is carried out by changing the consumption norms of protection means in proportion to the limiting factors. Multirecycled polyfunctional biologics prototypes combining the properties of biopesticides, biofertilizers and inoculants can be used to ensure stable organic potato production.
INTELLIGENT TUTORING SYSTEM: UTILIZING USER PROFILING IN REGULATORY AFFAIRS COURSES
Authors: Vrushabh Hete  , Chetan Chaudhary  , Vinita Kale  , Suankit Harane  , Milind Umekar  
Published: April 2024

Introduction: In higher education, institutions, and faculty members confront mounting pressures to deliver quality teaching and learning experiences while contending with limited resources. A pivotal challenge in this situation is the academic preparedness of students, often cited as a primary contributor to low academic performance. To address this challenge, tutorials are evolving to meet the diverse needs of students, particularly those entering higher education with varying levels of academic readiness.
User profiling, an innovative tool within ITS, collects and analyses learner characteristics to tailor learning content, strategies, and interactions. In the specialized domain of regulatory affairs, where a comprehensive understanding of various domains is essential, integrating an ITS with user profiling capabilities offers a promising avenue to enhance the learning experience. This study aims to develop and evaluate an ITS-based tutorial specifically designed for postgraduate students specializing in regulatory affairs.
Methodology:
This study involved creating distinct modules tailored for the architecture of an ITS, with a focus on the drug product life cycle. Utilizing an Initial Teaching System (ITS) tool, a conceptual map assessed students' prior knowledge, facilitating the identification of slow and fast learners. A supplementary tutorial, comprising student and expert knowledge modules, was developed based on student feedback. After an 8-week tutorial phase, student feedback was gathered via questionnaires and interviews, revealing insights into the acceptance and usability of the ITS among PG Regulatory Affairs students.
Result and conclusion:
The focus group interviews revealed that the ITS offers flexibility for learning anytime, anywhere, enables material review, and fosters an effective learning environment.
UNLOCKING THE POTENTIAL: SOCIO-ECONOMIC SIGNIFICANCE OF TOURISM IN TRIPURA'S GROWTH AND TRANSFORMATION
Authors: Mr. Falgun Hari Murasing  
Published: April 2024

This research dives into how tourism is changing Tripura, a state in India. We're looking at how tourism affects things like jobs, businesses, and culture. We see that tourism can help Tripura grow economically and provide more jobs. But we also find that it can harm the environment and make local culture less authentic.
To figure this out, we looked at data, talked to people, and studied examples from Tripura. Our findings show that if tourism is managed well, it can be a great thing for Tripura's economy. But we need to be careful and make sure we don't harm the environment or lose the uniqueness of the local culture.
In the end, we give ideas to the government, local people, and businesses about how to make tourism work best for Tripura. We suggest involving the community, preserving the local culture, and building things that don't harm nature.
A COMPARATIVE STUDY ON SELECTED PHYSICAL FITNESS VARIABLS OF KHO-KHO AND KABADDI PLAYERS
Authors: Sajal Modak  , Babita Biswas  , Dr. Somnath Bag  
Published: April 2024

The purpose of this study was to compare the physical fitness variabls of kho-kho And kabaddi players. A total of sixty (N=60) subjects were selected randomly from North 24pgs district of west Bengal. Out of 60 players, 30 sub- junior District level female kabaddi players and 30 sub-junior District level female kho-kho players only. The age of the subject ranged between 16-18 years. The variable undertake for the study are physical fitness variables agility, explosive leg strength, speed as a physical fitness components for this study. Mean standard deviation and t-test ware used as statistical calculations at 0.05 level of confidence. The result of study ware reflects that no significance deference observed between female kabaddi and kho-kho players only.
NOVEL METHOD FOR SYNTHESIS OF MELANIN BASED SILVER NANOPARTICLES AND ITS APPLICATION AGAINST STAPHYLOCOCCUS AUREUS
Authors: Nayan Jani  , Kruti Parmar  
Published: April 2024

A group of biopolymers is known as melanin, melanin is getting more attention due to its applications in diverse field such as cosmetics, bioremediation, and pharmaceutical industries. Melanin can be biosynthesized via bacteria and fungi. In present study melanin producing fungal strain was procured from repository and Production of melanin was carried out by submerged fermentation using tyrosine casein medium. Extraction and Characterization of melanin was carried out using various test like bleach test, solubility test, reaction with ferric chloride, reaction with hydrogen peroxide, thin layer chromatography and FTIR spectroscopy. Extracted melanin was used for synthesis of silver nanoparticles. Colour change after incubation of melanin with silver nitrate indicated formation of silver nanoparticles, further synthesized nanoparticles was characterized by UV-Visible spectroscopy, Dynamic light scattering and zeta potential analysis. Antibacterial activity of melanin based synthesized nanoparticles was found against Staphylococcus aureus. Melanin based synthesized nanoparticles can be proved as stable and eco friendly nature and having wide range of applications in fields like agriculture, textile, bioremediation, food coating, bio imaging, nanomedicine, and various pharmaceutical drugs.
EMPLOYEES ATTITUDE TOWARDS WORK - A CASE STUDY
Authors: Thriveni P.  , Dr. Linus Benedicta DSouza  
Published: April 2024

Purpose: Employees attitude is very important role of every organisation because it includes staff from various categories. A large amount of infrastructure, maintenance work, risk management. Accidental control priorities. Employees play a crucial part in the production centre. Employees are involved in production care, material care, administrative care. Employees attitude is crucial for training centre because it influences both the product care quality and students satisfaction.
Design/methodology/approach: The proposed study is designed to evaluate Employees Attitude Towards Workplace at Government Tool Room & Training Centre (GTTC) Mysore. A survey method of research with a structured questionnaire is used to collect the primary data from 44 employees at the Mysore Centre. Non-probability sampling method, a Judgemental or purposive method of sampling is adopted for the study.
Descriptive statistics, followed by the F test and Analysis of Variance (ANOVA) at a 95 level of confidence are used to evaluate Employees Attitude and job satisfaction.
Findings/Result: From the study it is concluded that employee’s attitude as well as job satisfaction among the employees of GTTC are at its infant stage of development.
Originality: The research study is based on the conceptual model related to employees attitude, organizational culture, best human resource practices, and Employee job satisfaction as the outcome, with a specific case analysis of GTTC Mysore.
ENHANCING PHISHING DETECTION: A HYBRID DEEP LEARNING MODEL INTEGRATING BI-LSTM AND BI-GRU ALGORITHMS FOR URL AND CONTENT ANALYSIS
Authors: Sakthipriya  N.  , Dr. V. Govindasamy  , Abhinesh C.  , Krishna Govarthini T.  , Rajesh R.  , Swedha R.  
Published: April 2024

In response to the pressing cybersecurity challenges posed by the proliferation of phishing URLs and malicious content, this research introduces a groundbreaking approach centered on transfer learning within deep neural networks. By leveraging transfer learning, intricate patterns within URLs and their content are unveiled, culminating in the development of a model seamlessly integrating Bidirectional Long Short-Term Memory (Bi-LSTM) and Bidirectional Gated Recurrent Unit (Bi-GRU) networks.
These architectures effectively capture sequential dependencies, enhanced by their bidirectional variants accessing both past and future states to comprehend temporal dynamics and improve performance. Through meticulous evaluation and fine-tuning processes, the proposed cybersecurity solution demonstrates robustness and efficacy in defending against evolving threats.
This research contributes significantly to advancing the cybersecurity domain, introducing an adaptive strategy that harnesses the strengths of Bi-LSTM and Bi-GRU networks within the framework of transfer learning, paving the way for more resilient and effective cybersecurity solutions.
MAKE IN INDIA INITIATIVE AND ITS IMPLICATIONS
Authors: Nitesh Kumar  
Published: April 2024

India's economy, which ranks tenth in the world in terms of nominal GDP, is among the fastest growing in the world. The government of India's "Made in India" initiative promotes investment, innovation, skill development, intellectual property protection, and the development of manufacturing infrastructure. On September 25, 2014, the Prime Minister of India, Narendra Modi, unveiled the "Made in India" campaign, an international marketing tactic designed to draw in foreign investment and establish India as a global hub for manufacturing. This "Made in India" campaign offers guidance to international investors, as well as timely assistance, pertinent information, and a proactive approach.
With this initiative, the Indian government hopes to make good use of its rapidly growing labor force, realizing that the service sector—which accounts for between 55 and 60 percent of GDP—cannot be the only engine driving the nation's economy.
The study's only data source is secondary. The data came from a variety of sources, including reputable websites, research articles, government publications from India's Ministry of Commerce, and various RBI bulletins. "Made in India" will have a significant impact on industries such as manufacturing, automotive, aerospace, biotechnology, defense, media, thermal power, oil, and gas, according to the study. As a result, we can conclude that, while "Made in India" arrived at the right time, its implementation still poses significant challenges.
ABSTRACTIVE SUMMARIZATION OF INDIAN LEGAL DOCUMENTS USING T5 & QLoRA
Authors: Dr. M. S. Anbarasi  , Aathif Mohammed A.  , Deena R.  , Manimaran V.  , Mohanraj S.  
Published: April 2024

This research project aims to develop an abstractive summarization system for Indian legal documents. The system leverages the power of the T5 transformer model, fine-tuned using Quantized Low-Rank Adaptation (QLoRA). The training data comprises two datasets, the Indian Legal Corpus (ILC) and IN-Abs, both containing court cases and their corresponding abstractive summaries.
The system is designed to accept legal text input directly or extract it from uploaded DOCX or PDF documents. An initial extractive summary is generated using the bert-extractive-summarizer, which is subsequently fed into the fine-tuned T5 model to produce an abstractive summary.
The principal result of this research is the successful implementation of a system capable of generating abstractive summaries of Indian legal documents. The system achieved a ROUGE-1 score of 46.37%, demonstrating its effectiveness.
In conclusion, this research contributes to the field of legal document summarization by providing a system that can generate concise and coherent summaries, thereby aiding in the efficient comprehension of complex legal texts. This work also opens avenues for further improvements and applications in the legal tech domain.
A STUDY TO ASSESS THE KNOWLEDGE REGARDING SUBSTANCE ABUSE AMONG MEDICAL STUDENTS OF HIMACHAL PRADESH
Authors: Aekta Dogra  , Dr. Jitendra Kumar Tiwari  , Dr. O. P. Bhardwaj  
Published: April 2024

A quantitative descriptive study design was used to assess knowledge regarding substance abuse among medical students of the state. The sample consisted of the100 medical students. In all, 100 students are taken half of boys and half of girls. Sampling technique used for the current study was random cum purposive. Self made substance abuse knowledge test was used to collect the data. The structured questionnaire composed of 52 questions based on knowledge regarding meaning of substance and harmful diseases due to excessive use of substance. The results were analysed by statistical technique of mean, standard deviation and t-test
Background :-
Medical students are backbone of the society. Their knowledge regarding effects of substance abuse is an important and must thing for the society. As not only their knowledge about medicines, but even their personality also affects society. The students of MBBS and BAMS were taken purposively to relation to their gender and area for the propagation of awareness regarding substance abuse.
Assessing dissolved oxygen dynamics in Pasig River, Philippines: A HEC-RAS modeling approach during the COVID-19 pandemic
Authors: Casila Joan Cecilia C. , Nicolas Mary Divina , Duka Maurice , Haddout Soufiane , Priya K. L. , Yokoyama Katsuhide 
Published: April 2024

Abstract

The water quality in Pasig River has been impacted by urbanization, industrialization, and the pandemic conditions. This study involved comparative analysis of dissolved oxygen (DO) levels before and during the pandemic. Field measurements, including water temperature, salinity, and DO, were conducted during neap and spring tides. To further understand and simulate DO distribution, a one-dimensional mathematical model, specifically Hydrologic Engineering Center-River Analysis System, was employed. Results showed that DO increased during the pandemic, ranging from 3.26 to 7.25 and 1.08 to 5.69 mg/L during neap and spring tide. From the minimum standard DO level, out of eight stations, seven passed during neap tide, while one station passed during spring tide. Salinity levels were higher during spring tide, which may have affected the DO. Salt intrusion was evident until 4 km from the confluence. The hydraulic model yielded average water level differences of 5.1 and 8.3 cm during calibration and validation, respectively. The DO calibration and simulation exhibited very good statistical evaluation outcomes, with values of 0.9 for Nash-Sutcliffe Efficiency and 0.3 for Root Mean Standard Deviation Ratio. These findings hold significant potential for formulation of water quality enhancement plans and implementation of solid waste management and pollution policies.
Applying Genetic Algorithm for test pattern generation process optimization
Authors: Kuraedov V. I. 
Published: April 2024

Objective. Comprehensive integrated circuit (IC) verification plays a crucial role in preventing costly errors and delays in product development cycle. It includes testing interaction and compatibility of different system elements, such as central processing unit, memory and various peripheral devices. Validating IC’s compliance to the functional requirements list may take up to 70% of the design process duration. This proportion grows with complexity and size of the device under development. Consequently, the essential tasks that integrated circuit developers face are research and development of methods for cutting design complexity and reducing implementation time.Method. Conducted research regarding usage of genetic algorithm for error discovery, which could lead to a failure in the end product.Result. Collected data regarding the amounts of victims and target errors for each fault of types stuck-at-0 and stuck-at-1 for circuits from ISCAS’85 and ISCAS’89 benchmarks. It has been discovered that the proposed method is more effective in comparison to random vector generation to an extent of target errors amount for every benchmark.Conclusions. Accumulated results allow for the algorithm usage during IC design in order to reduce time consumption for circuitry validation and improve on test kits quality.
Problems of training specialists in the field of information security
Authors: Livshits I. I. 
Published: April 2024

Objective. The problem of training specialists in the field of information security seems relevant given the lack of specialists capable of countering new threats. Objectively, there is a significant shortage of qualified specialists who could be trained by technical universities of the Russian Federation in the very near future. When solving this problem, it is important to take into account the level of quality of the graduates and the negative risk from the distance learning mode.Method. The presented work proposes an analysis of the needs for qualified specialists in the program 10.04.01 “Information Security” and a statistical analysis of the final qualifying works of masters of the Faculty of FBIT of ITMO University based on the results of the work of state examination commissions in 2023.Result. An analysis of the needs for qualified information security specialists was carried out based on available data; It is shown that given the current dynamics, it is not possible in the near future to provide the required number of qualified specialists without significant changes in universities. An analysis of the graduate work of masters studying under the 10.04.01 “Information Security” program was carried out in the aspect of the problem posed: examples of excellent performance of work for the “industry” and the risks of performing standard “template” work were reflected.Conclusion. The results can be used to assess the quality of training of specialists in the field of information security in technical universities in Russia.
Application of mivar expert systems in the fight against telephone fraud
Authors: Mikhaleva U. A. 
Published: April 2024

Objective. Currently, there is no comprehensive approach to solving the problems of telephone fraud. Despite the widespread awareness of citizens about telephone fraud through the media, the number of victims of this type of fraud is growing day by day. The purpose of the study is to substantiate the possibility of using mivar technologies as part of an expert system to combat telephone fraud.Method. This article uses the following methods: description, analysis, deduction.Result. The analysis of the use of mivar expert systems in various areas of life allowed us to conclude that their use in the fight against telephone fraud is appropriate.Conclusion. The conclusions drawn in this work can serve as the basis for further research in this area, as well as the basis for the development and implementation of mivar expert systems in the fight against telephone fraud.
Mechanochemical activation of steelmaking slag to obtain a cementless composite binder
Authors: Korneeva E. V. 
Published: April 2024

Objective. One of the promising areas for the use of slag raw materials in the construction industry is to increase its structural instability and activity with the help of mechanochemistry. The article is devoted to the study of the combined activation of the produced (fresh) slag of steelmaking production in order to create an effective technology for obtaining cementless slag binder.Method. Steel slags were used as raw materials - energy-saturated large-tonnage waste of the West Siberian Metallurgical Plant (Novokuznetsk). As an activator waste from the coal industry of the «Abashevskaya» mine (Novokuznetsk): burnt rocks from waste heaps and sludge, obtained by lime neutralization of electrolytes of spent acid batteries, industrial transport batteries. The study of thermogravimetric curves of raw materials: "steel slag" and "burnt rock" before processing showed the characteristic features and their inherent exothermic and endothermic effects. The effect of additives-activators on the physical and chemical processes during the mechanochemical activation of steel-smelting slag has been established and main structure-forming factors.Result. Based on the used mechanically activated slag raw materials, a cementless binder of a matrix structure was obtained.Conclusion. The creation of composite binders using steel-smelting slag is relevant today as part of a large-scale task of construction and technological utilization of technogenic formations.